iVOD / 16407

Field Value
IVOD_ID 16407
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16407
日期 2024-12-23
會議資料.會議代碼 委員會-11-2-23-17
會議資料.會議代碼:str 第11屆第2會期交通委員會第17次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 17
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第2會期交通委員會第17次全體委員會議
影片種類 Full
開始時間 2024-12-23T08:31:44+08:00
結束時間 2024-12-23T17:38:00+08:00
影片長度 09:06:16
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302ddf4489611fe8f3d298336e09a559573a46d1319bf84c91682dc16a63294a72c935ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-12-23T09:00:00+08:00
會議名稱 立法院第11屆第2會期交通委員會第17次全體委員會議(事由:一、繼續審查114年度中央政府總預算案關於交通部單位預算。 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算。 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建設管理基金分預算。 四、繼續審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。 五、繼續審查114年度中央政府總預算案關於數位發展部數位產業署單位預算。 【12月23日、25日及26日三天一次會】)
委員名稱 完整會議
委員發言時間 08:31:44 - 17:38:00
transcript.pyannote[0].speaker SPEAKER_47
transcript.pyannote[0].start 1803.25971875
transcript.pyannote[0].end 1810.43159375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1819.00409375
transcript.pyannote[1].end 1858.89659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1858.96409375
transcript.pyannote[2].end 1859.41971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1859.45346875
transcript.pyannote[3].end 1868.24534375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1868.43096875
transcript.pyannote[4].end 1871.45159375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1873.10534375
transcript.pyannote[5].end 1885.50846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1885.87971875
transcript.pyannote[6].end 1890.13221875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1890.35159375
transcript.pyannote[7].end 1901.20221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1901.43846875
transcript.pyannote[8].end 1913.28471875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 1913.35221875
transcript.pyannote[9].end 1917.18284375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 1917.89159375
transcript.pyannote[10].end 1924.97909375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 1925.23221875
transcript.pyannote[11].end 1929.18096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 1929.82221875
transcript.pyannote[12].end 1943.69346875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 1943.92971875
transcript.pyannote[13].end 1947.69284375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 1948.94159375
transcript.pyannote[14].end 1953.19409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 1953.81846875
transcript.pyannote[15].end 1963.92659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 1963.97721875
transcript.pyannote[16].end 1999.54971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 2002.35096875
transcript.pyannote[17].end 2024.62596875
transcript.pyannote[18].speaker SPEAKER_47
transcript.pyannote[18].start 2026.26284375
transcript.pyannote[18].end 2029.03034375
transcript.pyannote[19].speaker SPEAKER_47
transcript.pyannote[19].start 2031.91596875
transcript.pyannote[19].end 2034.09284375
transcript.pyannote[20].speaker SPEAKER_47
transcript.pyannote[20].start 2035.49346875
transcript.pyannote[20].end 2037.77159375
transcript.pyannote[21].speaker SPEAKER_47
transcript.pyannote[21].start 2038.98659375
transcript.pyannote[21].end 2042.51346875
transcript.pyannote[22].speaker SPEAKER_47
transcript.pyannote[22].start 2044.65659375
transcript.pyannote[22].end 2046.49596875
transcript.pyannote[23].speaker SPEAKER_47
transcript.pyannote[23].start 2047.98096875
transcript.pyannote[23].end 2049.80346875
transcript.pyannote[24].speaker SPEAKER_47
transcript.pyannote[24].start 2051.64284375
transcript.pyannote[24].end 2053.17846875
transcript.pyannote[25].speaker SPEAKER_47
transcript.pyannote[25].start 2055.62534375
transcript.pyannote[25].end 2057.02596875
transcript.pyannote[26].speaker SPEAKER_47
transcript.pyannote[26].start 2058.13971875
transcript.pyannote[26].end 2059.65846875
transcript.pyannote[27].speaker SPEAKER_47
transcript.pyannote[27].start 2060.72159375
transcript.pyannote[27].end 2063.70846875
transcript.pyannote[28].speaker SPEAKER_47
transcript.pyannote[28].start 2064.85596875
transcript.pyannote[28].end 2066.56034375
transcript.pyannote[29].speaker SPEAKER_47
transcript.pyannote[29].start 2066.81346875
transcript.pyannote[29].end 2067.52221875
transcript.pyannote[30].speaker SPEAKER_47
transcript.pyannote[30].start 2069.26034375
transcript.pyannote[30].end 2080.46534375
transcript.pyannote[31].speaker SPEAKER_47
transcript.pyannote[31].start 2081.22471875
transcript.pyannote[31].end 2083.63784375
transcript.pyannote[32].speaker SPEAKER_47
transcript.pyannote[32].start 2084.05971875
transcript.pyannote[32].end 2091.36659375
transcript.pyannote[33].speaker SPEAKER_47
transcript.pyannote[33].start 2091.87284375
transcript.pyannote[33].end 2094.70784375
transcript.pyannote[34].speaker SPEAKER_47
transcript.pyannote[34].start 2095.14659375
transcript.pyannote[34].end 2098.33596875
transcript.pyannote[35].speaker SPEAKER_47
transcript.pyannote[35].start 2098.70721875
transcript.pyannote[35].end 2107.61721875
transcript.pyannote[36].speaker SPEAKER_47
transcript.pyannote[36].start 2108.03909375
transcript.pyannote[36].end 2110.90784375
transcript.pyannote[37].speaker SPEAKER_47
transcript.pyannote[37].start 2111.34659375
transcript.pyannote[37].end 2114.13096875
transcript.pyannote[38].speaker SPEAKER_47
transcript.pyannote[38].start 2114.53596875
transcript.pyannote[38].end 2115.21096875
transcript.pyannote[39].speaker SPEAKER_47
transcript.pyannote[39].start 2115.27846875
transcript.pyannote[39].end 2117.33721875
transcript.pyannote[40].speaker SPEAKER_47
transcript.pyannote[40].start 2117.77596875
transcript.pyannote[40].end 2120.66159375
transcript.pyannote[41].speaker SPEAKER_47
transcript.pyannote[41].start 2121.04971875
transcript.pyannote[41].end 2123.90159375
transcript.pyannote[42].speaker SPEAKER_47
transcript.pyannote[42].start 2124.34034375
transcript.pyannote[42].end 2125.04909375
transcript.pyannote[43].speaker SPEAKER_47
transcript.pyannote[43].start 2125.25159375
transcript.pyannote[43].end 2128.39034375
transcript.pyannote[44].speaker SPEAKER_47
transcript.pyannote[44].start 2128.84596875
transcript.pyannote[44].end 2129.47034375
transcript.pyannote[45].speaker SPEAKER_47
transcript.pyannote[45].start 2129.89221875
transcript.pyannote[45].end 2133.65534375
transcript.pyannote[46].speaker SPEAKER_47
transcript.pyannote[46].start 2134.14471875
transcript.pyannote[46].end 2136.00096875
transcript.pyannote[47].speaker SPEAKER_47
transcript.pyannote[47].start 2136.40596875
transcript.pyannote[47].end 2138.41409375
transcript.pyannote[48].speaker SPEAKER_47
transcript.pyannote[48].start 2138.86971875
transcript.pyannote[48].end 2139.59534375
transcript.pyannote[49].speaker SPEAKER_47
transcript.pyannote[49].start 2143.51034375
transcript.pyannote[49].end 2147.71221875
transcript.pyannote[50].speaker SPEAKER_47
transcript.pyannote[50].start 2147.91471875
transcript.pyannote[50].end 2162.76471875
transcript.pyannote[51].speaker SPEAKER_38
transcript.pyannote[51].start 2166.19034375
transcript.pyannote[51].end 2170.03784375
transcript.pyannote[52].speaker SPEAKER_38
transcript.pyannote[52].start 2170.39221875
transcript.pyannote[52].end 2170.67909375
transcript.pyannote[53].speaker SPEAKER_47
transcript.pyannote[53].start 2171.80971875
transcript.pyannote[53].end 2183.84159375
transcript.pyannote[54].speaker SPEAKER_47
transcript.pyannote[54].start 2185.39409375
transcript.pyannote[54].end 2194.30409375
transcript.pyannote[55].speaker SPEAKER_47
transcript.pyannote[55].start 2194.40534375
transcript.pyannote[55].end 2201.99909375
transcript.pyannote[56].speaker SPEAKER_18
transcript.pyannote[56].start 2236.40721875
transcript.pyannote[56].end 2254.46346875
transcript.pyannote[57].speaker SPEAKER_47
transcript.pyannote[57].start 2253.36659375
transcript.pyannote[57].end 2267.60909375
transcript.pyannote[58].speaker SPEAKER_18
transcript.pyannote[58].start 2254.48034375
transcript.pyannote[58].end 2254.49721875
transcript.pyannote[59].speaker SPEAKER_18
transcript.pyannote[59].start 2254.75034375
transcript.pyannote[59].end 2256.28596875
transcript.pyannote[60].speaker SPEAKER_18
transcript.pyannote[60].start 2261.17971875
transcript.pyannote[60].end 2261.58471875
transcript.pyannote[61].speaker SPEAKER_43
transcript.pyannote[61].start 2261.58471875
transcript.pyannote[61].end 2261.60159375
transcript.pyannote[62].speaker SPEAKER_18
transcript.pyannote[62].start 2261.60159375
transcript.pyannote[62].end 2261.61846875
transcript.pyannote[63].speaker SPEAKER_42
transcript.pyannote[63].start 2261.61846875
transcript.pyannote[63].end 2261.65221875
transcript.pyannote[64].speaker SPEAKER_43
transcript.pyannote[64].start 2263.20471875
transcript.pyannote[64].end 2263.22159375
transcript.pyannote[65].speaker SPEAKER_18
transcript.pyannote[65].start 2263.22159375
transcript.pyannote[65].end 2263.25534375
transcript.pyannote[66].speaker SPEAKER_43
transcript.pyannote[66].start 2263.25534375
transcript.pyannote[66].end 2263.54221875
transcript.pyannote[67].speaker SPEAKER_43
transcript.pyannote[67].start 2264.40284375
transcript.pyannote[67].end 2264.77409375
transcript.pyannote[68].speaker SPEAKER_18
transcript.pyannote[68].start 2267.03534375
transcript.pyannote[68].end 2267.23784375
transcript.pyannote[69].speaker SPEAKER_18
transcript.pyannote[69].start 2267.49096875
transcript.pyannote[69].end 2267.96346875
transcript.pyannote[70].speaker SPEAKER_47
transcript.pyannote[70].start 2267.96346875
transcript.pyannote[70].end 2268.03096875
transcript.pyannote[71].speaker SPEAKER_18
transcript.pyannote[71].start 2268.03096875
transcript.pyannote[71].end 2268.40221875
transcript.pyannote[72].speaker SPEAKER_47
transcript.pyannote[72].start 2268.16596875
transcript.pyannote[72].end 2273.02596875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 2268.94221875
transcript.pyannote[73].end 2269.00971875
transcript.pyannote[74].speaker SPEAKER_18
transcript.pyannote[74].start 2269.00971875
transcript.pyannote[74].end 2269.11096875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 2269.11096875
transcript.pyannote[75].end 2269.19534375
transcript.pyannote[76].speaker SPEAKER_18
transcript.pyannote[76].start 2273.56596875
transcript.pyannote[76].end 2274.96659375
transcript.pyannote[77].speaker SPEAKER_47
transcript.pyannote[77].start 2274.91596875
transcript.pyannote[77].end 2286.05346875
transcript.pyannote[78].speaker SPEAKER_18
transcript.pyannote[78].start 2280.75471875
transcript.pyannote[78].end 2280.80534375
transcript.pyannote[79].speaker SPEAKER_18
transcript.pyannote[79].start 2280.83909375
transcript.pyannote[79].end 2281.19346875
transcript.pyannote[80].speaker SPEAKER_18
transcript.pyannote[80].start 2283.87659375
transcript.pyannote[80].end 2284.83846875
transcript.pyannote[81].speaker SPEAKER_18
transcript.pyannote[81].start 2285.05784375
transcript.pyannote[81].end 2288.26409375
transcript.pyannote[82].speaker SPEAKER_26
transcript.pyannote[82].start 2288.17971875
transcript.pyannote[82].end 2288.23034375
transcript.pyannote[83].speaker SPEAKER_26
transcript.pyannote[83].start 2288.26409375
transcript.pyannote[83].end 2289.51284375
transcript.pyannote[84].speaker SPEAKER_18
transcript.pyannote[84].start 2289.51284375
transcript.pyannote[84].end 2290.23846875
transcript.pyannote[85].speaker SPEAKER_26
transcript.pyannote[85].start 2290.23846875
transcript.pyannote[85].end 2291.77409375
transcript.pyannote[86].speaker SPEAKER_18
transcript.pyannote[86].start 2290.32284375
transcript.pyannote[86].end 2292.04409375
transcript.pyannote[87].speaker SPEAKER_26
transcript.pyannote[87].start 2292.88784375
transcript.pyannote[87].end 2297.37659375
transcript.pyannote[88].speaker SPEAKER_42
transcript.pyannote[88].start 2297.37659375
transcript.pyannote[88].end 2297.59596875
transcript.pyannote[89].speaker SPEAKER_26
transcript.pyannote[89].start 2298.03471875
transcript.pyannote[89].end 2298.82784375
transcript.pyannote[90].speaker SPEAKER_26
transcript.pyannote[90].start 2299.46909375
transcript.pyannote[90].end 2302.03409375
transcript.pyannote[91].speaker SPEAKER_26
transcript.pyannote[91].start 2302.54034375
transcript.pyannote[91].end 2303.02971875
transcript.pyannote[92].speaker SPEAKER_26
transcript.pyannote[92].start 2303.77221875
transcript.pyannote[92].end 2307.06284375
transcript.pyannote[93].speaker SPEAKER_26
transcript.pyannote[93].start 2307.80534375
transcript.pyannote[93].end 2309.02034375
transcript.pyannote[94].speaker SPEAKER_26
transcript.pyannote[94].start 2309.37471875
transcript.pyannote[94].end 2310.75846875
transcript.pyannote[95].speaker SPEAKER_26
transcript.pyannote[95].start 2310.85971875
transcript.pyannote[95].end 2312.10846875
transcript.pyannote[96].speaker SPEAKER_26
transcript.pyannote[96].start 2312.27721875
transcript.pyannote[96].end 2319.36471875
transcript.pyannote[97].speaker SPEAKER_26
transcript.pyannote[97].start 2319.88784375
transcript.pyannote[97].end 2320.49534375
transcript.pyannote[98].speaker SPEAKER_47
transcript.pyannote[98].start 2320.98471875
transcript.pyannote[98].end 2326.85721875
transcript.pyannote[99].speaker SPEAKER_15
transcript.pyannote[99].start 2326.53659375
transcript.pyannote[99].end 2328.73034375
transcript.pyannote[100].speaker SPEAKER_15
transcript.pyannote[100].start 2329.27034375
transcript.pyannote[100].end 2334.90659375
transcript.pyannote[101].speaker SPEAKER_42
transcript.pyannote[101].start 2334.07971875
transcript.pyannote[101].end 2337.96096875
transcript.pyannote[102].speaker SPEAKER_15
transcript.pyannote[102].start 2336.44221875
transcript.pyannote[102].end 2366.47971875
transcript.pyannote[103].speaker SPEAKER_42
transcript.pyannote[103].start 2358.32909375
transcript.pyannote[103].end 2359.08846875
transcript.pyannote[104].speaker SPEAKER_42
transcript.pyannote[104].start 2359.88159375
transcript.pyannote[104].end 2360.59034375
transcript.pyannote[105].speaker SPEAKER_18
transcript.pyannote[105].start 2362.02471875
transcript.pyannote[105].end 2362.54784375
transcript.pyannote[106].speaker SPEAKER_18
transcript.pyannote[106].start 2363.81346875
transcript.pyannote[106].end 2370.47909375
transcript.pyannote[107].speaker SPEAKER_42
transcript.pyannote[107].start 2370.47909375
transcript.pyannote[107].end 2370.71534375
transcript.pyannote[108].speaker SPEAKER_18
transcript.pyannote[108].start 2370.69846875
transcript.pyannote[108].end 2371.96409375
transcript.pyannote[109].speaker SPEAKER_15
transcript.pyannote[109].start 2370.71534375
transcript.pyannote[109].end 2376.67221875
transcript.pyannote[110].speaker SPEAKER_47
transcript.pyannote[110].start 2371.96409375
transcript.pyannote[110].end 2372.03159375
transcript.pyannote[111].speaker SPEAKER_18
transcript.pyannote[111].start 2372.03159375
transcript.pyannote[111].end 2372.11596875
transcript.pyannote[112].speaker SPEAKER_47
transcript.pyannote[112].start 2372.11596875
transcript.pyannote[112].end 2372.14971875
transcript.pyannote[113].speaker SPEAKER_18
transcript.pyannote[113].start 2372.14971875
transcript.pyannote[113].end 2372.89221875
transcript.pyannote[114].speaker SPEAKER_47
transcript.pyannote[114].start 2376.97596875
transcript.pyannote[114].end 2380.53659375
transcript.pyannote[115].speaker SPEAKER_47
transcript.pyannote[115].start 2380.90784375
transcript.pyannote[115].end 2385.71721875
transcript.pyannote[116].speaker SPEAKER_15
transcript.pyannote[116].start 2383.05096875
transcript.pyannote[116].end 2383.18596875
transcript.pyannote[117].speaker SPEAKER_21
transcript.pyannote[117].start 2385.71721875
transcript.pyannote[117].end 2405.64659375
transcript.pyannote[118].speaker SPEAKER_47
transcript.pyannote[118].start 2405.64659375
transcript.pyannote[118].end 2406.08534375
transcript.pyannote[119].speaker SPEAKER_21
transcript.pyannote[119].start 2406.08534375
transcript.pyannote[119].end 2417.50971875
transcript.pyannote[120].speaker SPEAKER_47
transcript.pyannote[120].start 2408.88659375
transcript.pyannote[120].end 2408.92034375
transcript.pyannote[121].speaker SPEAKER_47
transcript.pyannote[121].start 2409.07221875
transcript.pyannote[121].end 2409.22409375
transcript.pyannote[122].speaker SPEAKER_21
transcript.pyannote[122].start 2417.94846875
transcript.pyannote[122].end 2425.33971875
transcript.pyannote[123].speaker SPEAKER_18
transcript.pyannote[123].start 2425.81221875
transcript.pyannote[123].end 2425.84596875
transcript.pyannote[124].speaker SPEAKER_21
transcript.pyannote[124].start 2425.84596875
transcript.pyannote[124].end 2425.91346875
transcript.pyannote[125].speaker SPEAKER_18
transcript.pyannote[125].start 2425.91346875
transcript.pyannote[125].end 2425.94721875
transcript.pyannote[126].speaker SPEAKER_21
transcript.pyannote[126].start 2425.94721875
transcript.pyannote[126].end 2425.96409375
transcript.pyannote[127].speaker SPEAKER_47
transcript.pyannote[127].start 2426.18346875
transcript.pyannote[127].end 2429.89596875
transcript.pyannote[128].speaker SPEAKER_09
transcript.pyannote[128].start 2429.89596875
transcript.pyannote[128].end 2429.94659375
transcript.pyannote[129].speaker SPEAKER_18
transcript.pyannote[129].start 2429.94659375
transcript.pyannote[129].end 2431.02659375
transcript.pyannote[130].speaker SPEAKER_09
transcript.pyannote[130].start 2431.02659375
transcript.pyannote[130].end 2438.08034375
transcript.pyannote[131].speaker SPEAKER_42
transcript.pyannote[131].start 2438.08034375
transcript.pyannote[131].end 2438.55284375
transcript.pyannote[132].speaker SPEAKER_09
transcript.pyannote[132].start 2438.38409375
transcript.pyannote[132].end 2440.86471875
transcript.pyannote[133].speaker SPEAKER_42
transcript.pyannote[133].start 2440.71284375
transcript.pyannote[133].end 2441.05034375
transcript.pyannote[134].speaker SPEAKER_09
transcript.pyannote[134].start 2441.03346875
transcript.pyannote[134].end 2465.94096875
transcript.pyannote[135].speaker SPEAKER_42
transcript.pyannote[135].start 2446.02846875
transcript.pyannote[135].end 2446.60221875
transcript.pyannote[136].speaker SPEAKER_18
transcript.pyannote[136].start 2466.02534375
transcript.pyannote[136].end 2466.14346875
transcript.pyannote[137].speaker SPEAKER_09
transcript.pyannote[137].start 2466.14346875
transcript.pyannote[137].end 2466.31221875
transcript.pyannote[138].speaker SPEAKER_18
transcript.pyannote[138].start 2466.31221875
transcript.pyannote[138].end 2466.54846875
transcript.pyannote[139].speaker SPEAKER_09
transcript.pyannote[139].start 2466.54846875
transcript.pyannote[139].end 2466.66659375
transcript.pyannote[140].speaker SPEAKER_18
transcript.pyannote[140].start 2466.66659375
transcript.pyannote[140].end 2466.98721875
transcript.pyannote[141].speaker SPEAKER_47
transcript.pyannote[141].start 2467.08846875
transcript.pyannote[141].end 2471.93159375
transcript.pyannote[142].speaker SPEAKER_47
transcript.pyannote[142].start 2472.33659375
transcript.pyannote[142].end 2477.07846875
transcript.pyannote[143].speaker SPEAKER_37
transcript.pyannote[143].start 2477.80409375
transcript.pyannote[143].end 2532.02346875
transcript.pyannote[144].speaker SPEAKER_11
transcript.pyannote[144].start 2485.12784375
transcript.pyannote[144].end 2485.27971875
transcript.pyannote[145].speaker SPEAKER_42
transcript.pyannote[145].start 2520.78471875
transcript.pyannote[145].end 2521.15596875
transcript.pyannote[146].speaker SPEAKER_42
transcript.pyannote[146].start 2522.57346875
transcript.pyannote[146].end 2522.86034375
transcript.pyannote[147].speaker SPEAKER_37
transcript.pyannote[147].start 2532.78284375
transcript.pyannote[147].end 2546.55284375
transcript.pyannote[148].speaker SPEAKER_47
transcript.pyannote[148].start 2547.43034375
transcript.pyannote[148].end 2552.17221875
transcript.pyannote[149].speaker SPEAKER_47
transcript.pyannote[149].start 2552.25659375
transcript.pyannote[149].end 2568.00096875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 2558.34846875
transcript.pyannote[150].end 2558.46659375
transcript.pyannote[151].speaker SPEAKER_42
transcript.pyannote[151].start 2558.46659375
transcript.pyannote[151].end 2558.55096875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 2558.55096875
transcript.pyannote[152].end 2558.66909375
transcript.pyannote[153].speaker SPEAKER_47
transcript.pyannote[153].start 2568.55784375
transcript.pyannote[153].end 2573.46846875
transcript.pyannote[154].speaker SPEAKER_20
transcript.pyannote[154].start 2573.65409375
transcript.pyannote[154].end 2574.37971875
transcript.pyannote[155].speaker SPEAKER_47
transcript.pyannote[155].start 2574.41346875
transcript.pyannote[155].end 2579.25659375
transcript.pyannote[156].speaker SPEAKER_47
transcript.pyannote[156].start 2580.38721875
transcript.pyannote[156].end 2580.65721875
transcript.pyannote[157].speaker SPEAKER_21
transcript.pyannote[157].start 2580.65721875
transcript.pyannote[157].end 2581.19721875
transcript.pyannote[158].speaker SPEAKER_47
transcript.pyannote[158].start 2581.06221875
transcript.pyannote[158].end 2584.21784375
transcript.pyannote[159].speaker SPEAKER_21
transcript.pyannote[159].start 2583.17159375
transcript.pyannote[159].end 2594.29221875
transcript.pyannote[160].speaker SPEAKER_20
transcript.pyannote[160].start 2594.44409375
transcript.pyannote[160].end 2594.91659375
transcript.pyannote[161].speaker SPEAKER_21
transcript.pyannote[161].start 2594.83221875
transcript.pyannote[161].end 2599.11846875
transcript.pyannote[162].speaker SPEAKER_21
transcript.pyannote[162].start 2599.28721875
transcript.pyannote[162].end 2606.89784375
transcript.pyannote[163].speaker SPEAKER_41
transcript.pyannote[163].start 2603.60721875
transcript.pyannote[163].end 2603.87721875
transcript.pyannote[164].speaker SPEAKER_21
transcript.pyannote[164].start 2608.65284375
transcript.pyannote[164].end 2610.44159375
transcript.pyannote[165].speaker SPEAKER_47
transcript.pyannote[165].start 2609.09159375
transcript.pyannote[165].end 2609.20971875
transcript.pyannote[166].speaker SPEAKER_47
transcript.pyannote[166].start 2609.49659375
transcript.pyannote[166].end 2611.33596875
transcript.pyannote[167].speaker SPEAKER_21
transcript.pyannote[167].start 2610.94784375
transcript.pyannote[167].end 2611.38659375
transcript.pyannote[168].speaker SPEAKER_47
transcript.pyannote[168].start 2611.38659375
transcript.pyannote[168].end 2612.12909375
transcript.pyannote[169].speaker SPEAKER_21
transcript.pyannote[169].start 2611.42034375
transcript.pyannote[169].end 2619.68909375
transcript.pyannote[170].speaker SPEAKER_47
transcript.pyannote[170].start 2614.66034375
transcript.pyannote[170].end 2614.71096875
transcript.pyannote[171].speaker SPEAKER_09
transcript.pyannote[171].start 2614.71096875
transcript.pyannote[171].end 2614.72784375
transcript.pyannote[172].speaker SPEAKER_28
transcript.pyannote[172].start 2614.72784375
transcript.pyannote[172].end 2614.82909375
transcript.pyannote[173].speaker SPEAKER_09
transcript.pyannote[173].start 2615.08221875
transcript.pyannote[173].end 2615.21721875
transcript.pyannote[174].speaker SPEAKER_09
transcript.pyannote[174].start 2615.94284375
transcript.pyannote[174].end 2615.97659375
transcript.pyannote[175].speaker SPEAKER_47
transcript.pyannote[175].start 2615.97659375
transcript.pyannote[175].end 2616.11159375
transcript.pyannote[176].speaker SPEAKER_28
transcript.pyannote[176].start 2616.11159375
transcript.pyannote[176].end 2616.97221875
transcript.pyannote[177].speaker SPEAKER_47
transcript.pyannote[177].start 2616.97221875
transcript.pyannote[177].end 2617.02284375
transcript.pyannote[178].speaker SPEAKER_09
transcript.pyannote[178].start 2617.02284375
transcript.pyannote[178].end 2617.78221875
transcript.pyannote[179].speaker SPEAKER_47
transcript.pyannote[179].start 2617.78221875
transcript.pyannote[179].end 2617.84971875
transcript.pyannote[180].speaker SPEAKER_09
transcript.pyannote[180].start 2617.84971875
transcript.pyannote[180].end 2617.91721875
transcript.pyannote[181].speaker SPEAKER_47
transcript.pyannote[181].start 2617.91721875
transcript.pyannote[181].end 2617.96784375
transcript.pyannote[182].speaker SPEAKER_09
transcript.pyannote[182].start 2617.96784375
transcript.pyannote[182].end 2618.28846875
transcript.pyannote[183].speaker SPEAKER_09
transcript.pyannote[183].start 2619.68909375
transcript.pyannote[183].end 2619.85784375
transcript.pyannote[184].speaker SPEAKER_21
transcript.pyannote[184].start 2619.85784375
transcript.pyannote[184].end 2626.15221875
transcript.pyannote[185].speaker SPEAKER_09
transcript.pyannote[185].start 2619.89159375
transcript.pyannote[185].end 2620.33034375
transcript.pyannote[186].speaker SPEAKER_09
transcript.pyannote[186].start 2620.95471875
transcript.pyannote[186].end 2621.93346875
transcript.pyannote[187].speaker SPEAKER_09
transcript.pyannote[187].start 2622.84471875
transcript.pyannote[187].end 2623.65471875
transcript.pyannote[188].speaker SPEAKER_09
transcript.pyannote[188].start 2625.13971875
transcript.pyannote[188].end 2645.74409375
transcript.pyannote[189].speaker SPEAKER_09
transcript.pyannote[189].start 2646.68909375
transcript.pyannote[189].end 2648.96721875
transcript.pyannote[190].speaker SPEAKER_37
transcript.pyannote[190].start 2648.96721875
transcript.pyannote[190].end 2649.54096875
transcript.pyannote[191].speaker SPEAKER_09
transcript.pyannote[191].start 2649.54096875
transcript.pyannote[191].end 2649.69284375
transcript.pyannote[192].speaker SPEAKER_37
transcript.pyannote[192].start 2649.69284375
transcript.pyannote[192].end 2689.66971875
transcript.pyannote[193].speaker SPEAKER_42
transcript.pyannote[193].start 2654.02971875
transcript.pyannote[193].end 2654.40096875
transcript.pyannote[194].speaker SPEAKER_25
transcript.pyannote[194].start 2659.05846875
transcript.pyannote[194].end 2659.07534375
transcript.pyannote[195].speaker SPEAKER_25
transcript.pyannote[195].start 2660.45909375
transcript.pyannote[195].end 2660.94846875
transcript.pyannote[196].speaker SPEAKER_25
transcript.pyannote[196].start 2661.60659375
transcript.pyannote[196].end 2661.74159375
transcript.pyannote[197].speaker SPEAKER_25
transcript.pyannote[197].start 2662.95659375
transcript.pyannote[197].end 2663.17596875
transcript.pyannote[198].speaker SPEAKER_18
transcript.pyannote[198].start 2663.17596875
transcript.pyannote[198].end 2663.26034375
transcript.pyannote[199].speaker SPEAKER_25
transcript.pyannote[199].start 2663.51346875
transcript.pyannote[199].end 2663.53034375
transcript.pyannote[200].speaker SPEAKER_18
transcript.pyannote[200].start 2664.00284375
transcript.pyannote[200].end 2664.17159375
transcript.pyannote[201].speaker SPEAKER_18
transcript.pyannote[201].start 2665.62284375
transcript.pyannote[201].end 2665.99409375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 2668.69409375
transcript.pyannote[202].end 2669.26784375
transcript.pyannote[203].speaker SPEAKER_18
transcript.pyannote[203].start 2672.59221875
transcript.pyannote[203].end 2672.60909375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 2672.60909375
transcript.pyannote[204].end 2673.16596875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 2673.16596875
transcript.pyannote[205].end 2673.33471875
transcript.pyannote[206].speaker SPEAKER_42
transcript.pyannote[206].start 2676.08534375
transcript.pyannote[206].end 2676.23721875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 2676.23721875
transcript.pyannote[207].end 2677.11471875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 2677.24971875
transcript.pyannote[208].end 2677.97534375
transcript.pyannote[209].speaker SPEAKER_42
transcript.pyannote[209].start 2677.97534375
transcript.pyannote[209].end 2678.81909375
transcript.pyannote[210].speaker SPEAKER_42
transcript.pyannote[210].start 2681.68784375
transcript.pyannote[210].end 2683.93221875
transcript.pyannote[211].speaker SPEAKER_47
transcript.pyannote[211].start 2688.40409375
transcript.pyannote[211].end 2688.52221875
transcript.pyannote[212].speaker SPEAKER_09
transcript.pyannote[212].start 2688.52221875
transcript.pyannote[212].end 2688.65721875
transcript.pyannote[213].speaker SPEAKER_37
transcript.pyannote[213].start 2690.83409375
transcript.pyannote[213].end 2690.86784375
transcript.pyannote[214].speaker SPEAKER_47
transcript.pyannote[214].start 2690.86784375
transcript.pyannote[214].end 2698.42784375
transcript.pyannote[215].speaker SPEAKER_37
transcript.pyannote[215].start 2698.29284375
transcript.pyannote[215].end 2738.26971875
transcript.pyannote[216].speaker SPEAKER_42
transcript.pyannote[216].start 2705.02596875
transcript.pyannote[216].end 2705.86971875
transcript.pyannote[217].speaker SPEAKER_42
transcript.pyannote[217].start 2706.25784375
transcript.pyannote[217].end 2706.96659375
transcript.pyannote[218].speaker SPEAKER_23
transcript.pyannote[218].start 2706.96659375
transcript.pyannote[218].end 2707.64159375
transcript.pyannote[219].speaker SPEAKER_18
transcript.pyannote[219].start 2731.97534375
transcript.pyannote[219].end 2732.34659375
transcript.pyannote[220].speaker SPEAKER_18
transcript.pyannote[220].start 2735.97471875
transcript.pyannote[220].end 2736.34596875
transcript.pyannote[221].speaker SPEAKER_21
transcript.pyannote[221].start 2736.34596875
transcript.pyannote[221].end 2736.36284375
transcript.pyannote[222].speaker SPEAKER_18
transcript.pyannote[222].start 2736.36284375
transcript.pyannote[222].end 2736.59909375
transcript.pyannote[223].speaker SPEAKER_21
transcript.pyannote[223].start 2738.05034375
transcript.pyannote[223].end 2738.10096875
transcript.pyannote[224].speaker SPEAKER_21
transcript.pyannote[224].start 2738.26971875
transcript.pyannote[224].end 2738.37096875
transcript.pyannote[225].speaker SPEAKER_37
transcript.pyannote[225].start 2738.37096875
transcript.pyannote[225].end 2739.53534375
transcript.pyannote[226].speaker SPEAKER_21
transcript.pyannote[226].start 2738.45534375
transcript.pyannote[226].end 2739.21471875
transcript.pyannote[227].speaker SPEAKER_21
transcript.pyannote[227].start 2739.53534375
transcript.pyannote[227].end 2744.09159375
transcript.pyannote[228].speaker SPEAKER_37
transcript.pyannote[228].start 2739.55221875
transcript.pyannote[228].end 2739.65346875
transcript.pyannote[229].speaker SPEAKER_37
transcript.pyannote[229].start 2739.85596875
transcript.pyannote[229].end 2739.92346875
transcript.pyannote[230].speaker SPEAKER_37
transcript.pyannote[230].start 2739.94034375
transcript.pyannote[230].end 2739.97409375
transcript.pyannote[231].speaker SPEAKER_37
transcript.pyannote[231].start 2744.09159375
transcript.pyannote[231].end 2745.86346875
transcript.pyannote[232].speaker SPEAKER_21
transcript.pyannote[232].start 2745.86346875
transcript.pyannote[232].end 2753.81159375
transcript.pyannote[233].speaker SPEAKER_37
transcript.pyannote[233].start 2747.75346875
transcript.pyannote[233].end 2748.17534375
transcript.pyannote[234].speaker SPEAKER_37
transcript.pyannote[234].start 2748.98534375
transcript.pyannote[234].end 2749.30596875
transcript.pyannote[235].speaker SPEAKER_37
transcript.pyannote[235].start 2751.46596875
transcript.pyannote[235].end 2751.56721875
transcript.pyannote[236].speaker SPEAKER_31
transcript.pyannote[236].start 2751.56721875
transcript.pyannote[236].end 2751.60096875
transcript.pyannote[237].speaker SPEAKER_21
transcript.pyannote[237].start 2754.16596875
transcript.pyannote[237].end 2764.47659375
transcript.pyannote[238].speaker SPEAKER_31
transcript.pyannote[238].start 2755.58346875
transcript.pyannote[238].end 2756.76471875
transcript.pyannote[239].speaker SPEAKER_31
transcript.pyannote[239].start 2757.86159375
transcript.pyannote[239].end 2758.21596875
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 2758.21596875
transcript.pyannote[240].end 2758.24971875
transcript.pyannote[241].speaker SPEAKER_31
transcript.pyannote[241].start 2759.43096875
transcript.pyannote[241].end 2760.13971875
transcript.pyannote[242].speaker SPEAKER_47
transcript.pyannote[242].start 2763.41346875
transcript.pyannote[242].end 2763.46409375
transcript.pyannote[243].speaker SPEAKER_42
transcript.pyannote[243].start 2763.46409375
transcript.pyannote[243].end 2764.05471875
transcript.pyannote[244].speaker SPEAKER_21
transcript.pyannote[244].start 2764.56096875
transcript.pyannote[244].end 2766.16409375
transcript.pyannote[245].speaker SPEAKER_42
transcript.pyannote[245].start 2764.69596875
transcript.pyannote[245].end 2764.74659375
transcript.pyannote[246].speaker SPEAKER_47
transcript.pyannote[246].start 2764.74659375
transcript.pyannote[246].end 2765.91096875
transcript.pyannote[247].speaker SPEAKER_42
transcript.pyannote[247].start 2765.91096875
transcript.pyannote[247].end 2766.07971875
transcript.pyannote[248].speaker SPEAKER_47
transcript.pyannote[248].start 2766.07971875
transcript.pyannote[248].end 2782.39784375
transcript.pyannote[249].speaker SPEAKER_42
transcript.pyannote[249].start 2766.16409375
transcript.pyannote[249].end 2766.82221875
transcript.pyannote[250].speaker SPEAKER_42
transcript.pyannote[250].start 2767.10909375
transcript.pyannote[250].end 2767.69971875
transcript.pyannote[251].speaker SPEAKER_21
transcript.pyannote[251].start 2767.69971875
transcript.pyannote[251].end 2767.90221875
transcript.pyannote[252].speaker SPEAKER_42
transcript.pyannote[252].start 2767.90221875
transcript.pyannote[252].end 2767.91909375
transcript.pyannote[253].speaker SPEAKER_47
transcript.pyannote[253].start 2782.75221875
transcript.pyannote[253].end 2783.07284375
transcript.pyannote[254].speaker SPEAKER_47
transcript.pyannote[254].start 2783.59596875
transcript.pyannote[254].end 2805.61784375
transcript.pyannote[255].speaker SPEAKER_47
transcript.pyannote[255].start 2806.20846875
transcript.pyannote[255].end 2807.05221875
transcript.pyannote[256].speaker SPEAKER_47
transcript.pyannote[256].start 2807.72721875
transcript.pyannote[256].end 2808.09846875
transcript.pyannote[257].speaker SPEAKER_42
transcript.pyannote[257].start 2807.77784375
transcript.pyannote[257].end 2808.13221875
transcript.pyannote[258].speaker SPEAKER_47
transcript.pyannote[258].start 2808.13221875
transcript.pyannote[258].end 2819.15159375
transcript.pyannote[259].speaker SPEAKER_42
transcript.pyannote[259].start 2808.16596875
transcript.pyannote[259].end 2808.23346875
transcript.pyannote[260].speaker SPEAKER_47
transcript.pyannote[260].start 2819.59034375
transcript.pyannote[260].end 2835.25034375
transcript.pyannote[261].speaker SPEAKER_18
transcript.pyannote[261].start 2835.62159375
transcript.pyannote[261].end 2838.42284375
transcript.pyannote[262].speaker SPEAKER_18
transcript.pyannote[262].start 2838.76034375
transcript.pyannote[262].end 2838.77721875
transcript.pyannote[263].speaker SPEAKER_47
transcript.pyannote[263].start 2838.77721875
transcript.pyannote[263].end 2838.79409375
transcript.pyannote[264].speaker SPEAKER_15
transcript.pyannote[264].start 2838.79409375
transcript.pyannote[264].end 2841.76409375
transcript.pyannote[265].speaker SPEAKER_15
transcript.pyannote[265].start 2842.21971875
transcript.pyannote[265].end 2842.96221875
transcript.pyannote[266].speaker SPEAKER_15
transcript.pyannote[266].start 2843.21534375
transcript.pyannote[266].end 2883.12471875
transcript.pyannote[267].speaker SPEAKER_42
transcript.pyannote[267].start 2860.07346875
transcript.pyannote[267].end 2860.10721875
transcript.pyannote[268].speaker SPEAKER_42
transcript.pyannote[268].start 2860.27596875
transcript.pyannote[268].end 2860.36034375
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 2860.36034375
transcript.pyannote[269].end 2860.41096875
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 2867.80221875
transcript.pyannote[270].end 2868.07221875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 2870.02971875
transcript.pyannote[271].end 2870.13096875
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 2870.29971875
transcript.pyannote[272].end 2870.55284375
transcript.pyannote[273].speaker SPEAKER_08
transcript.pyannote[273].start 2870.55284375
transcript.pyannote[273].end 2870.83971875
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 2870.83971875
transcript.pyannote[274].end 2870.89034375
transcript.pyannote[275].speaker SPEAKER_08
transcript.pyannote[275].start 2872.20659375
transcript.pyannote[275].end 2872.40909375
transcript.pyannote[276].speaker SPEAKER_08
transcript.pyannote[276].start 2872.45971875
transcript.pyannote[276].end 2872.52721875
transcript.pyannote[277].speaker SPEAKER_47
transcript.pyannote[277].start 2884.81221875
transcript.pyannote[277].end 2886.80346875
transcript.pyannote[278].speaker SPEAKER_06
transcript.pyannote[278].start 2887.25909375
transcript.pyannote[278].end 2887.78221875
transcript.pyannote[279].speaker SPEAKER_06
transcript.pyannote[279].start 2888.45721875
transcript.pyannote[279].end 2901.50159375
transcript.pyannote[280].speaker SPEAKER_42
transcript.pyannote[280].start 2896.52346875
transcript.pyannote[280].end 2896.60784375
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 2896.60784375
transcript.pyannote[281].end 2896.62471875
transcript.pyannote[282].speaker SPEAKER_42
transcript.pyannote[282].start 2896.62471875
transcript.pyannote[282].end 2896.70909375
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 2896.70909375
transcript.pyannote[283].end 2896.77659375
transcript.pyannote[284].speaker SPEAKER_42
transcript.pyannote[284].start 2896.77659375
transcript.pyannote[284].end 2896.79346875
transcript.pyannote[285].speaker SPEAKER_04
transcript.pyannote[285].start 2896.79346875
transcript.pyannote[285].end 2896.84409375
transcript.pyannote[286].speaker SPEAKER_42
transcript.pyannote[286].start 2900.75909375
transcript.pyannote[286].end 2901.75471875
transcript.pyannote[287].speaker SPEAKER_06
transcript.pyannote[287].start 2901.65346875
transcript.pyannote[287].end 2947.28346875
transcript.pyannote[288].speaker SPEAKER_11
transcript.pyannote[288].start 2929.61534375
transcript.pyannote[288].end 2929.63221875
transcript.pyannote[289].speaker SPEAKER_42
transcript.pyannote[289].start 2929.63221875
transcript.pyannote[289].end 2929.95284375
transcript.pyannote[290].speaker SPEAKER_00
transcript.pyannote[290].start 2936.63534375
transcript.pyannote[290].end 2937.04034375
transcript.pyannote[291].speaker SPEAKER_47
transcript.pyannote[291].start 2948.44784375
transcript.pyannote[291].end 2953.91534375
transcript.pyannote[292].speaker SPEAKER_47
transcript.pyannote[292].start 2954.37096875
transcript.pyannote[292].end 2967.49971875
transcript.pyannote[293].speaker SPEAKER_47
transcript.pyannote[293].start 2967.82034375
transcript.pyannote[293].end 2978.14784375
transcript.pyannote[294].speaker SPEAKER_47
transcript.pyannote[294].start 2978.33346875
transcript.pyannote[294].end 2986.82159375
transcript.pyannote[295].speaker SPEAKER_45
transcript.pyannote[295].start 2980.47659375
transcript.pyannote[295].end 2980.71284375
transcript.pyannote[296].speaker SPEAKER_47
transcript.pyannote[296].start 2987.22659375
transcript.pyannote[296].end 2995.64721875
transcript.pyannote[297].speaker SPEAKER_42
transcript.pyannote[297].start 2989.79159375
transcript.pyannote[297].end 2989.87596875
transcript.pyannote[298].speaker SPEAKER_42
transcript.pyannote[298].start 2994.66846875
transcript.pyannote[298].end 2995.19159375
transcript.pyannote[299].speaker SPEAKER_47
transcript.pyannote[299].start 2996.03534375
transcript.pyannote[299].end 2996.05221875
transcript.pyannote[300].speaker SPEAKER_47
transcript.pyannote[300].start 2996.06909375
transcript.pyannote[300].end 3000.01784375
transcript.pyannote[301].speaker SPEAKER_42
transcript.pyannote[301].start 3000.01784375
transcript.pyannote[301].end 3001.03034375
transcript.pyannote[302].speaker SPEAKER_47
transcript.pyannote[302].start 3001.01346875
transcript.pyannote[302].end 3005.04659375
transcript.pyannote[303].speaker SPEAKER_47
transcript.pyannote[303].start 3005.26596875
transcript.pyannote[303].end 3017.29784375
transcript.pyannote[304].speaker SPEAKER_18
transcript.pyannote[304].start 3014.32784375
transcript.pyannote[304].end 3017.26409375
transcript.pyannote[305].speaker SPEAKER_18
transcript.pyannote[305].start 3017.29784375
transcript.pyannote[305].end 3017.38221875
transcript.pyannote[306].speaker SPEAKER_18
transcript.pyannote[306].start 3017.60159375
transcript.pyannote[306].end 3024.67221875
transcript.pyannote[307].speaker SPEAKER_47
transcript.pyannote[307].start 3020.87534375
transcript.pyannote[307].end 3022.09034375
transcript.pyannote[308].speaker SPEAKER_47
transcript.pyannote[308].start 3024.67221875
transcript.pyannote[308].end 3039.97784375
transcript.pyannote[309].speaker SPEAKER_18
transcript.pyannote[309].start 3024.72284375
transcript.pyannote[309].end 3024.82409375
transcript.pyannote[310].speaker SPEAKER_09
transcript.pyannote[310].start 3039.97784375
transcript.pyannote[310].end 3051.82409375
transcript.pyannote[311].speaker SPEAKER_42
transcript.pyannote[311].start 3051.79034375
transcript.pyannote[311].end 3052.14471875
transcript.pyannote[312].speaker SPEAKER_09
transcript.pyannote[312].start 3051.99284375
transcript.pyannote[312].end 3057.08909375
transcript.pyannote[313].speaker SPEAKER_09
transcript.pyannote[313].start 3057.12284375
transcript.pyannote[313].end 3079.71846875
transcript.pyannote[314].speaker SPEAKER_47
transcript.pyannote[314].start 3080.19096875
transcript.pyannote[314].end 3084.64596875
transcript.pyannote[315].speaker SPEAKER_09
transcript.pyannote[315].start 3084.73034375
transcript.pyannote[315].end 3084.76409375
transcript.pyannote[316].speaker SPEAKER_15
transcript.pyannote[316].start 3084.76409375
transcript.pyannote[316].end 3124.38659375
transcript.pyannote[317].speaker SPEAKER_15
transcript.pyannote[317].start 3124.96034375
transcript.pyannote[317].end 3126.29346875
transcript.pyannote[318].speaker SPEAKER_15
transcript.pyannote[318].start 3126.91784375
transcript.pyannote[318].end 3132.68909375
transcript.pyannote[319].speaker SPEAKER_15
transcript.pyannote[319].start 3133.16159375
transcript.pyannote[319].end 3175.43346875
transcript.pyannote[320].speaker SPEAKER_15
transcript.pyannote[320].start 3176.37846875
transcript.pyannote[320].end 3178.67346875
transcript.pyannote[321].speaker SPEAKER_47
transcript.pyannote[321].start 3179.01096875
transcript.pyannote[321].end 3182.16659375
transcript.pyannote[322].speaker SPEAKER_44
transcript.pyannote[322].start 3182.79096875
transcript.pyannote[322].end 3199.09221875
transcript.pyannote[323].speaker SPEAKER_44
transcript.pyannote[323].start 3199.15971875
transcript.pyannote[323].end 3201.62346875
transcript.pyannote[324].speaker SPEAKER_47
transcript.pyannote[324].start 3201.08346875
transcript.pyannote[324].end 3201.87659375
transcript.pyannote[325].speaker SPEAKER_42
transcript.pyannote[325].start 3201.62346875
transcript.pyannote[325].end 3201.64034375
transcript.pyannote[326].speaker SPEAKER_18
transcript.pyannote[326].start 3201.64034375
transcript.pyannote[326].end 3201.80909375
transcript.pyannote[327].speaker SPEAKER_44
transcript.pyannote[327].start 3201.80909375
transcript.pyannote[327].end 3202.07909375
transcript.pyannote[328].speaker SPEAKER_47
transcript.pyannote[328].start 3202.07909375
transcript.pyannote[328].end 3202.14659375
transcript.pyannote[329].speaker SPEAKER_44
transcript.pyannote[329].start 3202.14659375
transcript.pyannote[329].end 3202.21409375
transcript.pyannote[330].speaker SPEAKER_47
transcript.pyannote[330].start 3202.21409375
transcript.pyannote[330].end 3203.02409375
transcript.pyannote[331].speaker SPEAKER_44
transcript.pyannote[331].start 3203.02409375
transcript.pyannote[331].end 3203.34471875
transcript.pyannote[332].speaker SPEAKER_47
transcript.pyannote[332].start 3203.34471875
transcript.pyannote[332].end 3206.02784375
transcript.pyannote[333].speaker SPEAKER_18
transcript.pyannote[333].start 3204.57659375
transcript.pyannote[333].end 3209.95971875
transcript.pyannote[334].speaker SPEAKER_47
transcript.pyannote[334].start 3208.79534375
transcript.pyannote[334].end 3227.18909375
transcript.pyannote[335].speaker SPEAKER_24
transcript.pyannote[335].start 3227.64471875
transcript.pyannote[335].end 3232.33596875
transcript.pyannote[336].speaker SPEAKER_24
transcript.pyannote[336].start 3232.63971875
transcript.pyannote[336].end 3258.03659375
transcript.pyannote[337].speaker SPEAKER_24
transcript.pyannote[337].start 3258.07034375
transcript.pyannote[337].end 3276.32909375
transcript.pyannote[338].speaker SPEAKER_24
transcript.pyannote[338].start 3276.59909375
transcript.pyannote[338].end 3296.29221875
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 3287.56784375
transcript.pyannote[339].end 3287.92221875
transcript.pyannote[340].speaker SPEAKER_24
transcript.pyannote[340].start 3296.61284375
transcript.pyannote[340].end 3311.07471875
transcript.pyannote[341].speaker SPEAKER_24
transcript.pyannote[341].start 3311.53034375
transcript.pyannote[341].end 3333.67034375
transcript.pyannote[342].speaker SPEAKER_42
transcript.pyannote[342].start 3319.68096875
transcript.pyannote[342].end 3319.98471875
transcript.pyannote[343].speaker SPEAKER_24
transcript.pyannote[343].start 3333.85596875
transcript.pyannote[343].end 3334.29471875
transcript.pyannote[344].speaker SPEAKER_24
transcript.pyannote[344].start 3334.49721875
transcript.pyannote[344].end 3343.91346875
transcript.pyannote[345].speaker SPEAKER_47
transcript.pyannote[345].start 3345.71909375
transcript.pyannote[345].end 3358.42596875
transcript.pyannote[346].speaker SPEAKER_47
transcript.pyannote[346].start 3358.78034375
transcript.pyannote[346].end 3363.37034375
transcript.pyannote[347].speaker SPEAKER_47
transcript.pyannote[347].start 3363.62346875
transcript.pyannote[347].end 3369.46221875
transcript.pyannote[348].speaker SPEAKER_47
transcript.pyannote[348].start 3369.63096875
transcript.pyannote[348].end 3383.56971875
transcript.pyannote[349].speaker SPEAKER_18
transcript.pyannote[349].start 3382.33784375
transcript.pyannote[349].end 3382.92846875
transcript.pyannote[350].speaker SPEAKER_47
transcript.pyannote[350].start 3384.56534375
transcript.pyannote[350].end 3384.66659375
transcript.pyannote[351].speaker SPEAKER_18
transcript.pyannote[351].start 3384.66659375
transcript.pyannote[351].end 3398.41971875
transcript.pyannote[352].speaker SPEAKER_47
transcript.pyannote[352].start 3384.70034375
transcript.pyannote[352].end 3385.94909375
transcript.pyannote[353].speaker SPEAKER_47
transcript.pyannote[353].start 3388.22721875
transcript.pyannote[353].end 3388.39596875
transcript.pyannote[354].speaker SPEAKER_42
transcript.pyannote[354].start 3388.39596875
transcript.pyannote[354].end 3388.42971875
transcript.pyannote[355].speaker SPEAKER_47
transcript.pyannote[355].start 3388.42971875
transcript.pyannote[355].end 3392.86784375
transcript.pyannote[356].speaker SPEAKER_15
transcript.pyannote[356].start 3396.02346875
transcript.pyannote[356].end 3398.35221875
transcript.pyannote[357].speaker SPEAKER_15
transcript.pyannote[357].start 3398.41971875
transcript.pyannote[357].end 3411.75096875
transcript.pyannote[358].speaker SPEAKER_18
transcript.pyannote[358].start 3398.48721875
transcript.pyannote[358].end 3399.58409375
transcript.pyannote[359].speaker SPEAKER_15
transcript.pyannote[359].start 3412.10534375
transcript.pyannote[359].end 3427.02284375
transcript.pyannote[360].speaker SPEAKER_42
transcript.pyannote[360].start 3417.15096875
transcript.pyannote[360].end 3417.45471875
transcript.pyannote[361].speaker SPEAKER_15
transcript.pyannote[361].start 3427.34346875
transcript.pyannote[361].end 3430.49909375
transcript.pyannote[362].speaker SPEAKER_15
transcript.pyannote[362].start 3430.63409375
transcript.pyannote[362].end 3462.20721875
transcript.pyannote[363].speaker SPEAKER_15
transcript.pyannote[363].start 3463.16909375
transcript.pyannote[363].end 3464.80596875
transcript.pyannote[364].speaker SPEAKER_47
transcript.pyannote[364].start 3465.64971875
transcript.pyannote[364].end 3471.97784375
transcript.pyannote[365].speaker SPEAKER_37
transcript.pyannote[365].start 3471.97784375
transcript.pyannote[365].end 3472.04534375
transcript.pyannote[366].speaker SPEAKER_47
transcript.pyannote[366].start 3472.04534375
transcript.pyannote[366].end 3472.07909375
transcript.pyannote[367].speaker SPEAKER_37
transcript.pyannote[367].start 3472.07909375
transcript.pyannote[367].end 3472.11284375
transcript.pyannote[368].speaker SPEAKER_47
transcript.pyannote[368].start 3472.11284375
transcript.pyannote[368].end 3472.14659375
transcript.pyannote[369].speaker SPEAKER_47
transcript.pyannote[369].start 3472.41659375
transcript.pyannote[369].end 3472.45034375
transcript.pyannote[370].speaker SPEAKER_37
transcript.pyannote[370].start 3472.45034375
transcript.pyannote[370].end 3481.93409375
transcript.pyannote[371].speaker SPEAKER_42
transcript.pyannote[371].start 3481.24221875
transcript.pyannote[371].end 3482.42346875
transcript.pyannote[372].speaker SPEAKER_37
transcript.pyannote[372].start 3482.42346875
transcript.pyannote[372].end 3483.70596875
transcript.pyannote[373].speaker SPEAKER_37
transcript.pyannote[373].start 3483.90846875
transcript.pyannote[373].end 3484.31346875
transcript.pyannote[374].speaker SPEAKER_42
transcript.pyannote[374].start 3483.95909375
transcript.pyannote[374].end 3484.02659375
transcript.pyannote[375].speaker SPEAKER_18
transcript.pyannote[375].start 3484.02659375
transcript.pyannote[375].end 3484.53284375
transcript.pyannote[376].speaker SPEAKER_37
transcript.pyannote[376].start 3484.53284375
transcript.pyannote[376].end 3488.44784375
transcript.pyannote[377].speaker SPEAKER_18
transcript.pyannote[377].start 3484.54971875
transcript.pyannote[377].end 3484.68471875
transcript.pyannote[378].speaker SPEAKER_42
transcript.pyannote[378].start 3488.31284375
transcript.pyannote[378].end 3488.32971875
transcript.pyannote[379].speaker SPEAKER_18
transcript.pyannote[379].start 3488.32971875
transcript.pyannote[379].end 3488.34659375
transcript.pyannote[380].speaker SPEAKER_42
transcript.pyannote[380].start 3488.34659375
transcript.pyannote[380].end 3488.43096875
transcript.pyannote[381].speaker SPEAKER_42
transcript.pyannote[381].start 3488.44784375
transcript.pyannote[381].end 3488.51534375
transcript.pyannote[382].speaker SPEAKER_37
transcript.pyannote[382].start 3488.51534375
transcript.pyannote[382].end 3513.99659375
transcript.pyannote[383].speaker SPEAKER_42
transcript.pyannote[383].start 3488.54909375
transcript.pyannote[383].end 3488.61659375
transcript.pyannote[384].speaker SPEAKER_18
transcript.pyannote[384].start 3488.61659375
transcript.pyannote[384].end 3488.65034375
transcript.pyannote[385].speaker SPEAKER_42
transcript.pyannote[385].start 3493.47659375
transcript.pyannote[385].end 3493.59471875
transcript.pyannote[386].speaker SPEAKER_42
transcript.pyannote[386].start 3513.99659375
transcript.pyannote[386].end 3514.48596875
transcript.pyannote[387].speaker SPEAKER_37
transcript.pyannote[387].start 3514.31721875
transcript.pyannote[387].end 3538.68471875
transcript.pyannote[388].speaker SPEAKER_42
transcript.pyannote[388].start 3517.45596875
transcript.pyannote[388].end 3517.96221875
transcript.pyannote[389].speaker SPEAKER_00
transcript.pyannote[389].start 3528.00284375
transcript.pyannote[389].end 3528.50909375
transcript.pyannote[390].speaker SPEAKER_42
transcript.pyannote[390].start 3535.86659375
transcript.pyannote[390].end 3536.37284375
transcript.pyannote[391].speaker SPEAKER_42
transcript.pyannote[391].start 3538.87034375
transcript.pyannote[391].end 3539.14034375
transcript.pyannote[392].speaker SPEAKER_37
transcript.pyannote[392].start 3539.14034375
transcript.pyannote[392].end 3553.58534375
transcript.pyannote[393].speaker SPEAKER_07
transcript.pyannote[393].start 3547.62846875
transcript.pyannote[393].end 3547.71284375
transcript.pyannote[394].speaker SPEAKER_42
transcript.pyannote[394].start 3547.71284375
transcript.pyannote[394].end 3547.72971875
transcript.pyannote[395].speaker SPEAKER_02
transcript.pyannote[395].start 3547.72971875
transcript.pyannote[395].end 3549.09659375
transcript.pyannote[396].speaker SPEAKER_37
transcript.pyannote[396].start 3554.47971875
transcript.pyannote[396].end 3554.85096875
transcript.pyannote[397].speaker SPEAKER_47
transcript.pyannote[397].start 3554.64846875
transcript.pyannote[397].end 3554.68221875
transcript.pyannote[398].speaker SPEAKER_47
transcript.pyannote[398].start 3554.85096875
transcript.pyannote[398].end 3555.76221875
transcript.pyannote[399].speaker SPEAKER_37
transcript.pyannote[399].start 3555.61034375
transcript.pyannote[399].end 3555.72846875
transcript.pyannote[400].speaker SPEAKER_37
transcript.pyannote[400].start 3555.74534375
transcript.pyannote[400].end 3556.18409375
transcript.pyannote[401].speaker SPEAKER_47
transcript.pyannote[401].start 3556.53846875
transcript.pyannote[401].end 3575.79284375
transcript.pyannote[402].speaker SPEAKER_26
transcript.pyannote[402].start 3575.99534375
transcript.pyannote[402].end 3579.99471875
transcript.pyannote[403].speaker SPEAKER_26
transcript.pyannote[403].start 3580.33221875
transcript.pyannote[403].end 3581.80034375
transcript.pyannote[404].speaker SPEAKER_26
transcript.pyannote[404].start 3582.20534375
transcript.pyannote[404].end 3587.01471875
transcript.pyannote[405].speaker SPEAKER_26
transcript.pyannote[405].start 3587.28471875
transcript.pyannote[405].end 3590.94659375
transcript.pyannote[406].speaker SPEAKER_18
transcript.pyannote[406].start 3588.24659375
transcript.pyannote[406].end 3588.29721875
transcript.pyannote[407].speaker SPEAKER_18
transcript.pyannote[407].start 3590.94659375
transcript.pyannote[407].end 3594.11909375
transcript.pyannote[408].speaker SPEAKER_26
transcript.pyannote[408].start 3591.97596875
transcript.pyannote[408].end 3593.03909375
transcript.pyannote[409].speaker SPEAKER_26
transcript.pyannote[409].start 3594.00096875
transcript.pyannote[409].end 3599.82284375
transcript.pyannote[410].speaker SPEAKER_18
transcript.pyannote[410].start 3594.15284375
transcript.pyannote[410].end 3594.18659375
transcript.pyannote[411].speaker SPEAKER_26
transcript.pyannote[411].start 3600.34596875
transcript.pyannote[411].end 3604.37909375
transcript.pyannote[412].speaker SPEAKER_42
transcript.pyannote[412].start 3604.37909375
transcript.pyannote[412].end 3604.56471875
transcript.pyannote[413].speaker SPEAKER_26
transcript.pyannote[413].start 3604.56471875
transcript.pyannote[413].end 3610.20096875
transcript.pyannote[414].speaker SPEAKER_42
transcript.pyannote[414].start 3607.46721875
transcript.pyannote[414].end 3608.64846875
transcript.pyannote[415].speaker SPEAKER_42
transcript.pyannote[415].start 3609.12096875
transcript.pyannote[415].end 3611.09534375
transcript.pyannote[416].speaker SPEAKER_26
transcript.pyannote[416].start 3611.39909375
transcript.pyannote[416].end 3618.79034375
transcript.pyannote[417].speaker SPEAKER_42
transcript.pyannote[417].start 3617.22096875
transcript.pyannote[417].end 3618.75659375
transcript.pyannote[418].speaker SPEAKER_42
transcript.pyannote[418].start 3618.79034375
transcript.pyannote[418].end 3618.80721875
transcript.pyannote[419].speaker SPEAKER_26
transcript.pyannote[419].start 3618.80721875
transcript.pyannote[419].end 3618.84096875
transcript.pyannote[420].speaker SPEAKER_26
transcript.pyannote[420].start 3619.36409375
transcript.pyannote[420].end 3624.94971875
transcript.pyannote[421].speaker SPEAKER_42
transcript.pyannote[421].start 3619.44846875
transcript.pyannote[421].end 3619.51596875
transcript.pyannote[422].speaker SPEAKER_26
transcript.pyannote[422].start 3625.50659375
transcript.pyannote[422].end 3627.21096875
transcript.pyannote[423].speaker SPEAKER_26
transcript.pyannote[423].start 3627.88596875
transcript.pyannote[423].end 3634.88909375
transcript.pyannote[424].speaker SPEAKER_37
transcript.pyannote[424].start 3632.00346875
transcript.pyannote[424].end 3632.54346875
transcript.pyannote[425].speaker SPEAKER_37
transcript.pyannote[425].start 3634.88909375
transcript.pyannote[425].end 3638.19659375
transcript.pyannote[426].speaker SPEAKER_26
transcript.pyannote[426].start 3635.22659375
transcript.pyannote[426].end 3635.34471875
transcript.pyannote[427].speaker SPEAKER_26
transcript.pyannote[427].start 3637.72409375
transcript.pyannote[427].end 3641.20034375
transcript.pyannote[428].speaker SPEAKER_37
transcript.pyannote[428].start 3639.20909375
transcript.pyannote[428].end 3639.39471875
transcript.pyannote[429].speaker SPEAKER_37
transcript.pyannote[429].start 3639.52971875
transcript.pyannote[429].end 3639.86721875
transcript.pyannote[430].speaker SPEAKER_47
transcript.pyannote[430].start 3639.86721875
transcript.pyannote[430].end 3640.59284375
transcript.pyannote[431].speaker SPEAKER_37
transcript.pyannote[431].start 3640.59284375
transcript.pyannote[431].end 3640.62659375
transcript.pyannote[432].speaker SPEAKER_42
transcript.pyannote[432].start 3640.62659375
transcript.pyannote[432].end 3640.77846875
transcript.pyannote[433].speaker SPEAKER_42
transcript.pyannote[433].start 3641.20034375
transcript.pyannote[433].end 3641.23409375
transcript.pyannote[434].speaker SPEAKER_42
transcript.pyannote[434].start 3641.53784375
transcript.pyannote[434].end 3642.12846875
transcript.pyannote[435].speaker SPEAKER_47
transcript.pyannote[435].start 3642.29721875
transcript.pyannote[435].end 3662.83409375
transcript.pyannote[436].speaker SPEAKER_47
transcript.pyannote[436].start 3663.47534375
transcript.pyannote[436].end 3683.97846875
transcript.pyannote[437].speaker SPEAKER_37
transcript.pyannote[437].start 3683.97846875
transcript.pyannote[437].end 3685.02471875
transcript.pyannote[438].speaker SPEAKER_47
transcript.pyannote[438].start 3685.02471875
transcript.pyannote[438].end 3709.84784375
transcript.pyannote[439].speaker SPEAKER_37
transcript.pyannote[439].start 3685.09221875
transcript.pyannote[439].end 3685.34534375
transcript.pyannote[440].speaker SPEAKER_47
transcript.pyannote[440].start 3710.38784375
transcript.pyannote[440].end 3716.02409375
transcript.pyannote[441].speaker SPEAKER_47
transcript.pyannote[441].start 3716.09159375
transcript.pyannote[441].end 3716.10846875
transcript.pyannote[442].speaker SPEAKER_15
transcript.pyannote[442].start 3716.10846875
transcript.pyannote[442].end 3716.12534375
transcript.pyannote[443].speaker SPEAKER_42
transcript.pyannote[443].start 3716.12534375
transcript.pyannote[443].end 3716.34471875
transcript.pyannote[444].speaker SPEAKER_47
transcript.pyannote[444].start 3716.34471875
transcript.pyannote[444].end 3716.86784375
transcript.pyannote[445].speaker SPEAKER_47
transcript.pyannote[445].start 3717.32346875
transcript.pyannote[445].end 3718.33596875
transcript.pyannote[446].speaker SPEAKER_47
transcript.pyannote[446].start 3718.65659375
transcript.pyannote[446].end 3722.43659375
transcript.pyannote[447].speaker SPEAKER_15
transcript.pyannote[447].start 3722.82471875
transcript.pyannote[447].end 3731.07659375
transcript.pyannote[448].speaker SPEAKER_15
transcript.pyannote[448].start 3731.19471875
transcript.pyannote[448].end 3732.12284375
transcript.pyannote[449].speaker SPEAKER_15
transcript.pyannote[449].start 3732.37596875
transcript.pyannote[449].end 3736.08846875
transcript.pyannote[450].speaker SPEAKER_15
transcript.pyannote[450].start 3736.35846875
transcript.pyannote[450].end 3738.23159375
transcript.pyannote[451].speaker SPEAKER_15
transcript.pyannote[451].start 3738.72096875
transcript.pyannote[451].end 3739.51409375
transcript.pyannote[452].speaker SPEAKER_15
transcript.pyannote[452].start 3739.78409375
transcript.pyannote[452].end 3741.21846875
transcript.pyannote[453].speaker SPEAKER_15
transcript.pyannote[453].start 3741.67409375
transcript.pyannote[453].end 3744.59346875
transcript.pyannote[454].speaker SPEAKER_15
transcript.pyannote[454].start 3744.89721875
transcript.pyannote[454].end 3746.19659375
transcript.pyannote[455].speaker SPEAKER_15
transcript.pyannote[455].start 3746.53409375
transcript.pyannote[455].end 3747.51284375
transcript.pyannote[456].speaker SPEAKER_15
transcript.pyannote[456].start 3748.15409375
transcript.pyannote[456].end 3759.94971875
transcript.pyannote[457].speaker SPEAKER_15
transcript.pyannote[457].start 3760.16909375
transcript.pyannote[457].end 3767.79659375
transcript.pyannote[458].speaker SPEAKER_18
transcript.pyannote[458].start 3767.34096875
transcript.pyannote[458].end 3771.89721875
transcript.pyannote[459].speaker SPEAKER_47
transcript.pyannote[459].start 3771.89721875
transcript.pyannote[459].end 3778.32659375
transcript.pyannote[460].speaker SPEAKER_18
transcript.pyannote[460].start 3771.94784375
transcript.pyannote[460].end 3772.33596875
transcript.pyannote[461].speaker SPEAKER_47
transcript.pyannote[461].start 3778.44471875
transcript.pyannote[461].end 3784.41846875
transcript.pyannote[462].speaker SPEAKER_18
transcript.pyannote[462].start 3782.91659375
transcript.pyannote[462].end 3783.18659375
transcript.pyannote[463].speaker SPEAKER_21
transcript.pyannote[463].start 3783.18659375
transcript.pyannote[463].end 3783.22034375
transcript.pyannote[464].speaker SPEAKER_18
transcript.pyannote[464].start 3783.22034375
transcript.pyannote[464].end 3783.23721875
transcript.pyannote[465].speaker SPEAKER_21
transcript.pyannote[465].start 3783.23721875
transcript.pyannote[465].end 3783.25409375
transcript.pyannote[466].speaker SPEAKER_21
transcript.pyannote[466].start 3784.51971875
transcript.pyannote[466].end 3784.57034375
transcript.pyannote[467].speaker SPEAKER_18
transcript.pyannote[467].start 3784.57034375
transcript.pyannote[467].end 3784.97534375
transcript.pyannote[468].speaker SPEAKER_21
transcript.pyannote[468].start 3784.97534375
transcript.pyannote[468].end 3806.11971875
transcript.pyannote[469].speaker SPEAKER_18
transcript.pyannote[469].start 3786.30846875
transcript.pyannote[469].end 3786.78096875
transcript.pyannote[470].speaker SPEAKER_18
transcript.pyannote[470].start 3787.99596875
transcript.pyannote[470].end 3789.53159375
transcript.pyannote[471].speaker SPEAKER_42
transcript.pyannote[471].start 3802.84596875
transcript.pyannote[471].end 3803.03159375
transcript.pyannote[472].speaker SPEAKER_21
transcript.pyannote[472].start 3806.65971875
transcript.pyannote[472].end 3808.70159375
transcript.pyannote[473].speaker SPEAKER_22
transcript.pyannote[473].start 3807.72284375
transcript.pyannote[473].end 3808.66784375
transcript.pyannote[474].speaker SPEAKER_22
transcript.pyannote[474].start 3808.70159375
transcript.pyannote[474].end 3809.46096875
transcript.pyannote[475].speaker SPEAKER_21
transcript.pyannote[475].start 3809.46096875
transcript.pyannote[475].end 3814.11846875
transcript.pyannote[476].speaker SPEAKER_22
transcript.pyannote[476].start 3809.47784375
transcript.pyannote[476].end 3811.09784375
transcript.pyannote[477].speaker SPEAKER_22
transcript.pyannote[477].start 3811.45221875
transcript.pyannote[477].end 3811.68846875
transcript.pyannote[478].speaker SPEAKER_47
transcript.pyannote[478].start 3811.99221875
transcript.pyannote[478].end 3813.35909375
transcript.pyannote[479].speaker SPEAKER_32
transcript.pyannote[479].start 3813.35909375
transcript.pyannote[479].end 3813.46034375
transcript.pyannote[480].speaker SPEAKER_47
transcript.pyannote[480].start 3813.46034375
transcript.pyannote[480].end 3817.89846875
transcript.pyannote[481].speaker SPEAKER_21
transcript.pyannote[481].start 3815.38409375
transcript.pyannote[481].end 3815.51909375
transcript.pyannote[482].speaker SPEAKER_47
transcript.pyannote[482].start 3818.01659375
transcript.pyannote[482].end 3824.26034375
transcript.pyannote[483].speaker SPEAKER_18
transcript.pyannote[483].start 3825.96471875
transcript.pyannote[483].end 3826.03221875
transcript.pyannote[484].speaker SPEAKER_47
transcript.pyannote[484].start 3827.11221875
transcript.pyannote[484].end 3828.96846875
transcript.pyannote[485].speaker SPEAKER_18
transcript.pyannote[485].start 3828.88409375
transcript.pyannote[485].end 3828.90096875
transcript.pyannote[486].speaker SPEAKER_18
transcript.pyannote[486].start 3828.96846875
transcript.pyannote[486].end 3831.16221875
transcript.pyannote[487].speaker SPEAKER_47
transcript.pyannote[487].start 3831.16221875
transcript.pyannote[487].end 3843.63284375
transcript.pyannote[488].speaker SPEAKER_18
transcript.pyannote[488].start 3831.24659375
transcript.pyannote[488].end 3831.26346875
transcript.pyannote[489].speaker SPEAKER_43
transcript.pyannote[489].start 3831.29721875
transcript.pyannote[489].end 3831.34784375
transcript.pyannote[490].speaker SPEAKER_18
transcript.pyannote[490].start 3831.34784375
transcript.pyannote[490].end 3831.36471875
transcript.pyannote[491].speaker SPEAKER_43
transcript.pyannote[491].start 3835.41471875
transcript.pyannote[491].end 3835.90409375
transcript.pyannote[492].speaker SPEAKER_42
transcript.pyannote[492].start 3841.74284375
transcript.pyannote[492].end 3843.12659375
transcript.pyannote[493].speaker SPEAKER_18
transcript.pyannote[493].start 3843.12659375
transcript.pyannote[493].end 3843.21096875
transcript.pyannote[494].speaker SPEAKER_18
transcript.pyannote[494].start 3843.63284375
transcript.pyannote[494].end 3844.10534375
transcript.pyannote[495].speaker SPEAKER_47
transcript.pyannote[495].start 3844.49346875
transcript.pyannote[495].end 3845.28659375
transcript.pyannote[496].speaker SPEAKER_18
transcript.pyannote[496].start 3845.28659375
transcript.pyannote[496].end 3845.62409375
transcript.pyannote[497].speaker SPEAKER_47
transcript.pyannote[497].start 3845.62409375
transcript.pyannote[497].end 3849.28596875
transcript.pyannote[498].speaker SPEAKER_18
transcript.pyannote[498].start 3849.70784375
transcript.pyannote[498].end 3849.84284375
transcript.pyannote[499].speaker SPEAKER_18
transcript.pyannote[499].start 3850.23096875
transcript.pyannote[499].end 3851.09159375
transcript.pyannote[500].speaker SPEAKER_47
transcript.pyannote[500].start 3851.09159375
transcript.pyannote[500].end 3852.66096875
transcript.pyannote[501].speaker SPEAKER_18
transcript.pyannote[501].start 3851.12534375
transcript.pyannote[501].end 3851.17596875
transcript.pyannote[502].speaker SPEAKER_43
transcript.pyannote[502].start 3852.66096875
transcript.pyannote[502].end 3852.86346875
transcript.pyannote[503].speaker SPEAKER_47
transcript.pyannote[503].start 3852.86346875
transcript.pyannote[503].end 3880.48784375
transcript.pyannote[504].speaker SPEAKER_18
transcript.pyannote[504].start 3853.04909375
transcript.pyannote[504].end 3853.30221875
transcript.pyannote[505].speaker SPEAKER_43
transcript.pyannote[505].start 3853.30221875
transcript.pyannote[505].end 3853.97721875
transcript.pyannote[506].speaker SPEAKER_18
transcript.pyannote[506].start 3855.27659375
transcript.pyannote[506].end 3855.46221875
transcript.pyannote[507].speaker SPEAKER_43
transcript.pyannote[507].start 3860.89596875
transcript.pyannote[507].end 3860.96346875
transcript.pyannote[508].speaker SPEAKER_42
transcript.pyannote[508].start 3860.96346875
transcript.pyannote[508].end 3861.41909375
transcript.pyannote[509].speaker SPEAKER_42
transcript.pyannote[509].start 3861.46971875
transcript.pyannote[509].end 3861.65534375
transcript.pyannote[510].speaker SPEAKER_42
transcript.pyannote[510].start 3861.77346875
transcript.pyannote[510].end 3861.94221875
transcript.pyannote[511].speaker SPEAKER_43
transcript.pyannote[511].start 3861.94221875
transcript.pyannote[511].end 3861.97596875
transcript.pyannote[512].speaker SPEAKER_47
transcript.pyannote[512].start 3880.53846875
transcript.pyannote[512].end 3895.20284375
transcript.pyannote[513].speaker SPEAKER_18
transcript.pyannote[513].start 3894.10596875
transcript.pyannote[513].end 3895.18596875
transcript.pyannote[514].speaker SPEAKER_18
transcript.pyannote[514].start 3895.20284375
transcript.pyannote[514].end 3898.72971875
transcript.pyannote[515].speaker SPEAKER_47
transcript.pyannote[515].start 3899.13471875
transcript.pyannote[515].end 3908.87159375
transcript.pyannote[516].speaker SPEAKER_18
transcript.pyannote[516].start 3901.14284375
transcript.pyannote[516].end 3901.63221875
transcript.pyannote[517].speaker SPEAKER_18
transcript.pyannote[517].start 3902.94846875
transcript.pyannote[517].end 3903.03284375
transcript.pyannote[518].speaker SPEAKER_42
transcript.pyannote[518].start 3903.03284375
transcript.pyannote[518].end 3903.23534375
transcript.pyannote[519].speaker SPEAKER_42
transcript.pyannote[519].start 3908.12909375
transcript.pyannote[519].end 3908.19659375
transcript.pyannote[520].speaker SPEAKER_42
transcript.pyannote[520].start 3910.23846875
transcript.pyannote[520].end 3910.81221875
transcript.pyannote[521].speaker SPEAKER_47
transcript.pyannote[521].start 3910.81221875
transcript.pyannote[521].end 3917.22471875
transcript.pyannote[522].speaker SPEAKER_26
transcript.pyannote[522].start 3917.96721875
transcript.pyannote[522].end 3920.38034375
transcript.pyannote[523].speaker SPEAKER_26
transcript.pyannote[523].start 3920.78534375
transcript.pyannote[523].end 3926.89409375
transcript.pyannote[524].speaker SPEAKER_42
transcript.pyannote[524].start 3925.57784375
transcript.pyannote[524].end 3926.11784375
transcript.pyannote[525].speaker SPEAKER_26
transcript.pyannote[525].start 3927.67034375
transcript.pyannote[525].end 3928.34534375
transcript.pyannote[526].speaker SPEAKER_26
transcript.pyannote[526].start 3928.64909375
transcript.pyannote[526].end 3932.42909375
transcript.pyannote[527].speaker SPEAKER_42
transcript.pyannote[527].start 3932.42909375
transcript.pyannote[527].end 3932.73284375
transcript.pyannote[528].speaker SPEAKER_26
transcript.pyannote[528].start 3933.27284375
transcript.pyannote[528].end 3935.85471875
transcript.pyannote[529].speaker SPEAKER_26
transcript.pyannote[529].start 3936.22596875
transcript.pyannote[529].end 3937.33971875
transcript.pyannote[530].speaker SPEAKER_26
transcript.pyannote[530].start 3938.11596875
transcript.pyannote[530].end 3940.96784375
transcript.pyannote[531].speaker SPEAKER_26
transcript.pyannote[531].start 3941.84534375
transcript.pyannote[531].end 3946.09784375
transcript.pyannote[532].speaker SPEAKER_42
transcript.pyannote[532].start 3946.24971875
transcript.pyannote[532].end 3946.87409375
transcript.pyannote[533].speaker SPEAKER_26
transcript.pyannote[533].start 3946.75596875
transcript.pyannote[533].end 3948.29159375
transcript.pyannote[534].speaker SPEAKER_26
transcript.pyannote[534].start 3948.71346875
transcript.pyannote[534].end 3949.89471875
transcript.pyannote[535].speaker SPEAKER_26
transcript.pyannote[535].start 3949.92846875
transcript.pyannote[535].end 3949.94534375
transcript.pyannote[536].speaker SPEAKER_26
transcript.pyannote[536].start 3950.53596875
transcript.pyannote[536].end 3956.62784375
transcript.pyannote[537].speaker SPEAKER_26
transcript.pyannote[537].start 3957.65721875
transcript.pyannote[537].end 3957.92721875
transcript.pyannote[538].speaker SPEAKER_26
transcript.pyannote[538].start 3958.33221875
transcript.pyannote[538].end 3962.97284375
transcript.pyannote[539].speaker SPEAKER_26
transcript.pyannote[539].start 3963.32721875
transcript.pyannote[539].end 3964.76159375
transcript.pyannote[540].speaker SPEAKER_42
transcript.pyannote[540].start 3964.76159375
transcript.pyannote[540].end 3964.77846875
transcript.pyannote[541].speaker SPEAKER_26
transcript.pyannote[541].start 3965.82471875
transcript.pyannote[541].end 3967.95096875
transcript.pyannote[542].speaker SPEAKER_18
transcript.pyannote[542].start 3967.95096875
transcript.pyannote[542].end 3968.10284375
transcript.pyannote[543].speaker SPEAKER_18
transcript.pyannote[543].start 3968.55846875
transcript.pyannote[543].end 3968.82846875
transcript.pyannote[544].speaker SPEAKER_26
transcript.pyannote[544].start 3968.82846875
transcript.pyannote[544].end 3972.47346875
transcript.pyannote[545].speaker SPEAKER_18
transcript.pyannote[545].start 3972.35534375
transcript.pyannote[545].end 3972.38909375
transcript.pyannote[546].speaker SPEAKER_18
transcript.pyannote[546].start 3972.47346875
transcript.pyannote[546].end 3975.07221875
transcript.pyannote[547].speaker SPEAKER_26
transcript.pyannote[547].start 3973.43534375
transcript.pyannote[547].end 3974.56596875
transcript.pyannote[548].speaker SPEAKER_26
transcript.pyannote[548].start 3975.62909375
transcript.pyannote[548].end 3981.87284375
transcript.pyannote[549].speaker SPEAKER_47
transcript.pyannote[549].start 3982.95284375
transcript.pyannote[549].end 3984.55596875
transcript.pyannote[550].speaker SPEAKER_26
transcript.pyannote[550].start 3984.55596875
transcript.pyannote[550].end 3984.72471875
transcript.pyannote[551].speaker SPEAKER_47
transcript.pyannote[551].start 3984.72471875
transcript.pyannote[551].end 3984.79221875
transcript.pyannote[552].speaker SPEAKER_47
transcript.pyannote[552].start 3985.11284375
transcript.pyannote[552].end 3992.33534375
transcript.pyannote[553].speaker SPEAKER_15
transcript.pyannote[553].start 3992.62221875
transcript.pyannote[553].end 3997.73534375
transcript.pyannote[554].speaker SPEAKER_42
transcript.pyannote[554].start 3997.73534375
transcript.pyannote[554].end 3998.03909375
transcript.pyannote[555].speaker SPEAKER_15
transcript.pyannote[555].start 3998.03909375
transcript.pyannote[555].end 4006.89846875
transcript.pyannote[556].speaker SPEAKER_15
transcript.pyannote[556].start 4007.11784375
transcript.pyannote[556].end 4007.86034375
transcript.pyannote[557].speaker SPEAKER_15
transcript.pyannote[557].start 4008.16409375
transcript.pyannote[557].end 4011.28596875
transcript.pyannote[558].speaker SPEAKER_15
transcript.pyannote[558].start 4011.38721875
transcript.pyannote[558].end 4016.97284375
transcript.pyannote[559].speaker SPEAKER_15
transcript.pyannote[559].start 4017.44534375
transcript.pyannote[559].end 4021.15784375
transcript.pyannote[560].speaker SPEAKER_15
transcript.pyannote[560].start 4021.20846875
transcript.pyannote[560].end 4027.04721875
transcript.pyannote[561].speaker SPEAKER_15
transcript.pyannote[561].start 4027.57034375
transcript.pyannote[561].end 4032.97034375
transcript.pyannote[562].speaker SPEAKER_15
transcript.pyannote[562].start 4033.18971875
transcript.pyannote[562].end 4033.76346875
transcript.pyannote[563].speaker SPEAKER_15
transcript.pyannote[563].start 4034.08409375
transcript.pyannote[563].end 4037.47596875
transcript.pyannote[564].speaker SPEAKER_15
transcript.pyannote[564].start 4037.76284375
transcript.pyannote[564].end 4039.09596875
transcript.pyannote[565].speaker SPEAKER_15
transcript.pyannote[565].start 4039.55159375
transcript.pyannote[565].end 4040.41221875
transcript.pyannote[566].speaker SPEAKER_15
transcript.pyannote[566].start 4040.69909375
transcript.pyannote[566].end 4042.47096875
transcript.pyannote[567].speaker SPEAKER_15
transcript.pyannote[567].start 4042.60596875
transcript.pyannote[567].end 4043.65221875
transcript.pyannote[568].speaker SPEAKER_15
transcript.pyannote[568].start 4044.86721875
transcript.pyannote[568].end 4045.22159375
transcript.pyannote[569].speaker SPEAKER_47
transcript.pyannote[569].start 4046.30159375
transcript.pyannote[569].end 4052.34284375
transcript.pyannote[570].speaker SPEAKER_29
transcript.pyannote[570].start 4052.05596875
transcript.pyannote[570].end 4068.28971875
transcript.pyannote[571].speaker SPEAKER_47
transcript.pyannote[571].start 4069.23471875
transcript.pyannote[571].end 4072.03596875
transcript.pyannote[572].speaker SPEAKER_44
transcript.pyannote[572].start 4072.03596875
transcript.pyannote[572].end 4091.12159375
transcript.pyannote[573].speaker SPEAKER_44
transcript.pyannote[573].start 4091.29034375
transcript.pyannote[573].end 4101.46596875
transcript.pyannote[574].speaker SPEAKER_47
transcript.pyannote[574].start 4101.95534375
transcript.pyannote[574].end 4106.88284375
transcript.pyannote[575].speaker SPEAKER_12
transcript.pyannote[575].start 4108.40159375
transcript.pyannote[575].end 4223.69159375
transcript.pyannote[576].speaker SPEAKER_42
transcript.pyannote[576].start 4165.38846875
transcript.pyannote[576].end 4165.69221875
transcript.pyannote[577].speaker SPEAKER_42
transcript.pyannote[577].start 4165.70909375
transcript.pyannote[577].end 4165.99596875
transcript.pyannote[578].speaker SPEAKER_42
transcript.pyannote[578].start 4168.59471875
transcript.pyannote[578].end 4168.83096875
transcript.pyannote[579].speaker SPEAKER_12
transcript.pyannote[579].start 4224.18096875
transcript.pyannote[579].end 4278.90659375
transcript.pyannote[580].speaker SPEAKER_47
transcript.pyannote[580].start 4278.99096875
transcript.pyannote[580].end 4286.68596875
transcript.pyannote[581].speaker SPEAKER_20
transcript.pyannote[581].start 4285.69034375
transcript.pyannote[581].end 4286.06159375
transcript.pyannote[582].speaker SPEAKER_20
transcript.pyannote[582].start 4286.53409375
transcript.pyannote[582].end 4286.61846875
transcript.pyannote[583].speaker SPEAKER_20
transcript.pyannote[583].start 4286.68596875
transcript.pyannote[583].end 4288.39034375
transcript.pyannote[584].speaker SPEAKER_20
transcript.pyannote[584].start 4288.66034375
transcript.pyannote[584].end 4289.01471875
transcript.pyannote[585].speaker SPEAKER_15
transcript.pyannote[585].start 4289.01471875
transcript.pyannote[585].end 4298.88659375
transcript.pyannote[586].speaker SPEAKER_20
transcript.pyannote[586].start 4289.11596875
transcript.pyannote[586].end 4289.40284375
transcript.pyannote[587].speaker SPEAKER_15
transcript.pyannote[587].start 4299.13971875
transcript.pyannote[587].end 4299.61221875
transcript.pyannote[588].speaker SPEAKER_15
transcript.pyannote[588].start 4299.96659375
transcript.pyannote[588].end 4333.58159375
transcript.pyannote[589].speaker SPEAKER_15
transcript.pyannote[589].start 4333.88534375
transcript.pyannote[589].end 4336.36596875
transcript.pyannote[590].speaker SPEAKER_15
transcript.pyannote[590].start 4337.02409375
transcript.pyannote[590].end 4346.77784375
transcript.pyannote[591].speaker SPEAKER_15
transcript.pyannote[591].start 4347.35159375
transcript.pyannote[591].end 4353.35909375
transcript.pyannote[592].speaker SPEAKER_15
transcript.pyannote[592].start 4354.00034375
transcript.pyannote[592].end 4358.43846875
transcript.pyannote[593].speaker SPEAKER_47
transcript.pyannote[593].start 4360.54784375
transcript.pyannote[593].end 4361.56034375
transcript.pyannote[594].speaker SPEAKER_47
transcript.pyannote[594].start 4362.16784375
transcript.pyannote[594].end 4362.97784375
transcript.pyannote[595].speaker SPEAKER_47
transcript.pyannote[595].start 4363.01159375
transcript.pyannote[595].end 4363.02846875
transcript.pyannote[596].speaker SPEAKER_47
transcript.pyannote[596].start 4363.06221875
transcript.pyannote[596].end 4363.12971875
transcript.pyannote[597].speaker SPEAKER_29
transcript.pyannote[597].start 4363.12971875
transcript.pyannote[597].end 4363.39971875
transcript.pyannote[598].speaker SPEAKER_47
transcript.pyannote[598].start 4363.39971875
transcript.pyannote[598].end 4363.50096875
transcript.pyannote[599].speaker SPEAKER_47
transcript.pyannote[599].start 4363.95659375
transcript.pyannote[599].end 4367.14596875
transcript.pyannote[600].speaker SPEAKER_29
transcript.pyannote[600].start 4366.99409375
transcript.pyannote[600].end 4375.16159375
transcript.pyannote[601].speaker SPEAKER_29
transcript.pyannote[601].start 4375.87034375
transcript.pyannote[601].end 4386.63659375
transcript.pyannote[602].speaker SPEAKER_29
transcript.pyannote[602].start 4386.83909375
transcript.pyannote[602].end 4393.99409375
transcript.pyannote[603].speaker SPEAKER_29
transcript.pyannote[603].start 4394.01096875
transcript.pyannote[603].end 4399.07346875
transcript.pyannote[604].speaker SPEAKER_29
transcript.pyannote[604].start 4399.10721875
transcript.pyannote[604].end 4434.88221875
transcript.pyannote[605].speaker SPEAKER_42
transcript.pyannote[605].start 4434.88221875
transcript.pyannote[605].end 4435.20284375
transcript.pyannote[606].speaker SPEAKER_29
transcript.pyannote[606].start 4435.20284375
transcript.pyannote[606].end 4435.25346875
transcript.pyannote[607].speaker SPEAKER_42
transcript.pyannote[607].start 4435.25346875
transcript.pyannote[607].end 4435.32096875
transcript.pyannote[608].speaker SPEAKER_29
transcript.pyannote[608].start 4435.32096875
transcript.pyannote[608].end 4435.62471875
transcript.pyannote[609].speaker SPEAKER_29
transcript.pyannote[609].start 4436.70471875
transcript.pyannote[609].end 4437.39659375
transcript.pyannote[610].speaker SPEAKER_47
transcript.pyannote[610].start 4437.81846875
transcript.pyannote[610].end 4443.13409375
transcript.pyannote[611].speaker SPEAKER_44
transcript.pyannote[611].start 4443.13409375
transcript.pyannote[611].end 4443.91034375
transcript.pyannote[612].speaker SPEAKER_47
transcript.pyannote[612].start 4443.79221875
transcript.pyannote[612].end 4443.97784375
transcript.pyannote[613].speaker SPEAKER_44
transcript.pyannote[613].start 4443.97784375
transcript.pyannote[613].end 4453.93409375
transcript.pyannote[614].speaker SPEAKER_44
transcript.pyannote[614].start 4455.46971875
transcript.pyannote[614].end 4456.97159375
transcript.pyannote[615].speaker SPEAKER_47
transcript.pyannote[615].start 4456.97159375
transcript.pyannote[615].end 4459.58721875
transcript.pyannote[616].speaker SPEAKER_42
transcript.pyannote[616].start 4458.87846875
transcript.pyannote[616].end 4459.94159375
transcript.pyannote[617].speaker SPEAKER_47
transcript.pyannote[617].start 4459.60409375
transcript.pyannote[617].end 4459.72221875
transcript.pyannote[618].speaker SPEAKER_47
transcript.pyannote[618].start 4459.94159375
transcript.pyannote[618].end 4471.65284375
transcript.pyannote[619].speaker SPEAKER_47
transcript.pyannote[619].start 4472.02409375
transcript.pyannote[619].end 4474.08284375
transcript.pyannote[620].speaker SPEAKER_47
transcript.pyannote[620].start 4474.50471875
transcript.pyannote[620].end 4488.57846875
transcript.pyannote[621].speaker SPEAKER_47
transcript.pyannote[621].start 4489.25346875
transcript.pyannote[621].end 4492.05471875
transcript.pyannote[622].speaker SPEAKER_47
transcript.pyannote[622].start 4492.47659375
transcript.pyannote[622].end 4500.40784375
transcript.pyannote[623].speaker SPEAKER_47
transcript.pyannote[623].start 4500.76221875
transcript.pyannote[623].end 4504.37346875
transcript.pyannote[624].speaker SPEAKER_47
transcript.pyannote[624].start 4504.91346875
transcript.pyannote[624].end 4517.72159375
transcript.pyannote[625].speaker SPEAKER_42
transcript.pyannote[625].start 4505.57159375
transcript.pyannote[625].end 4506.16221875
transcript.pyannote[626].speaker SPEAKER_42
transcript.pyannote[626].start 4516.82721875
transcript.pyannote[626].end 4516.87784375
transcript.pyannote[627].speaker SPEAKER_43
transcript.pyannote[627].start 4516.87784375
transcript.pyannote[627].end 4517.06346875
transcript.pyannote[628].speaker SPEAKER_12
transcript.pyannote[628].start 4517.72159375
transcript.pyannote[628].end 4517.87346875
transcript.pyannote[629].speaker SPEAKER_19
transcript.pyannote[629].start 4518.51471875
transcript.pyannote[629].end 4519.94909375
transcript.pyannote[630].speaker SPEAKER_12
transcript.pyannote[630].start 4519.96596875
transcript.pyannote[630].end 4519.98284375
transcript.pyannote[631].speaker SPEAKER_20
transcript.pyannote[631].start 4522.73346875
transcript.pyannote[631].end 4522.88534375
transcript.pyannote[632].speaker SPEAKER_19
transcript.pyannote[632].start 4522.88534375
transcript.pyannote[632].end 4523.03721875
transcript.pyannote[633].speaker SPEAKER_20
transcript.pyannote[633].start 4523.03721875
transcript.pyannote[633].end 4523.39159375
transcript.pyannote[634].speaker SPEAKER_12
transcript.pyannote[634].start 4523.39159375
transcript.pyannote[634].end 4529.63534375
transcript.pyannote[635].speaker SPEAKER_19
transcript.pyannote[635].start 4523.42534375
transcript.pyannote[635].end 4524.75846875
transcript.pyannote[636].speaker SPEAKER_20
transcript.pyannote[636].start 4529.63534375
transcript.pyannote[636].end 4530.63096875
transcript.pyannote[637].speaker SPEAKER_20
transcript.pyannote[637].start 4531.25534375
transcript.pyannote[637].end 4531.50846875
transcript.pyannote[638].speaker SPEAKER_12
transcript.pyannote[638].start 4531.50846875
transcript.pyannote[638].end 4535.08596875
transcript.pyannote[639].speaker SPEAKER_20
transcript.pyannote[639].start 4531.62659375
transcript.pyannote[639].end 4531.71096875
transcript.pyannote[640].speaker SPEAKER_47
transcript.pyannote[640].start 4531.71096875
transcript.pyannote[640].end 4531.99784375
transcript.pyannote[641].speaker SPEAKER_47
transcript.pyannote[641].start 4532.03159375
transcript.pyannote[641].end 4532.06534375
transcript.pyannote[642].speaker SPEAKER_20
transcript.pyannote[642].start 4532.06534375
transcript.pyannote[642].end 4533.11159375
transcript.pyannote[643].speaker SPEAKER_19
transcript.pyannote[643].start 4533.11159375
transcript.pyannote[643].end 4533.14534375
transcript.pyannote[644].speaker SPEAKER_20
transcript.pyannote[644].start 4535.08596875
transcript.pyannote[644].end 4535.23784375
transcript.pyannote[645].speaker SPEAKER_12
transcript.pyannote[645].start 4535.23784375
transcript.pyannote[645].end 4535.44034375
transcript.pyannote[646].speaker SPEAKER_20
transcript.pyannote[646].start 4535.87909375
transcript.pyannote[646].end 4539.23721875
transcript.pyannote[647].speaker SPEAKER_47
transcript.pyannote[647].start 4539.23721875
transcript.pyannote[647].end 4540.99221875
transcript.pyannote[648].speaker SPEAKER_20
transcript.pyannote[648].start 4539.25409375
transcript.pyannote[648].end 4539.92909375
transcript.pyannote[649].speaker SPEAKER_19
transcript.pyannote[649].start 4539.92909375
transcript.pyannote[649].end 4540.03034375
transcript.pyannote[650].speaker SPEAKER_20
transcript.pyannote[650].start 4540.03034375
transcript.pyannote[650].end 4540.28346875
transcript.pyannote[651].speaker SPEAKER_47
transcript.pyannote[651].start 4542.86534375
transcript.pyannote[651].end 4543.57409375
transcript.pyannote[652].speaker SPEAKER_19
transcript.pyannote[652].start 4543.77659375
transcript.pyannote[652].end 4546.35846875
transcript.pyannote[653].speaker SPEAKER_15
transcript.pyannote[653].start 4546.35846875
transcript.pyannote[653].end 4550.30721875
transcript.pyannote[654].speaker SPEAKER_19
transcript.pyannote[654].start 4546.40909375
transcript.pyannote[654].end 4546.83096875
transcript.pyannote[655].speaker SPEAKER_15
transcript.pyannote[655].start 4550.62784375
transcript.pyannote[655].end 4556.41596875
transcript.pyannote[656].speaker SPEAKER_15
transcript.pyannote[656].start 4556.75346875
transcript.pyannote[656].end 4579.33221875
transcript.pyannote[657].speaker SPEAKER_35
transcript.pyannote[657].start 4564.53284375
transcript.pyannote[657].end 4564.70159375
transcript.pyannote[658].speaker SPEAKER_15
transcript.pyannote[658].start 4579.48409375
transcript.pyannote[658].end 4592.95034375
transcript.pyannote[659].speaker SPEAKER_15
transcript.pyannote[659].start 4593.40596875
transcript.pyannote[659].end 4605.77534375
transcript.pyannote[660].speaker SPEAKER_15
transcript.pyannote[660].start 4606.18034375
transcript.pyannote[660].end 4606.58534375
transcript.pyannote[661].speaker SPEAKER_15
transcript.pyannote[661].start 4606.73721875
transcript.pyannote[661].end 4611.73221875
transcript.pyannote[662].speaker SPEAKER_15
transcript.pyannote[662].start 4612.18784375
transcript.pyannote[662].end 4617.31784375
transcript.pyannote[663].speaker SPEAKER_20
transcript.pyannote[663].start 4619.47784375
transcript.pyannote[663].end 4624.60784375
transcript.pyannote[664].speaker SPEAKER_15
transcript.pyannote[664].start 4619.54534375
transcript.pyannote[664].end 4619.91659375
transcript.pyannote[665].speaker SPEAKER_47
transcript.pyannote[665].start 4619.91659375
transcript.pyannote[665].end 4621.13159375
transcript.pyannote[666].speaker SPEAKER_20
transcript.pyannote[666].start 4627.27409375
transcript.pyannote[666].end 4628.65784375
transcript.pyannote[667].speaker SPEAKER_09
transcript.pyannote[667].start 4628.65784375
transcript.pyannote[667].end 4633.19721875
transcript.pyannote[668].speaker SPEAKER_09
transcript.pyannote[668].start 4633.51784375
transcript.pyannote[668].end 4652.28284375
transcript.pyannote[669].speaker SPEAKER_09
transcript.pyannote[669].start 4652.90721875
transcript.pyannote[669].end 4666.77846875
transcript.pyannote[670].speaker SPEAKER_00
transcript.pyannote[670].start 4654.79721875
transcript.pyannote[670].end 4655.06721875
transcript.pyannote[671].speaker SPEAKER_09
transcript.pyannote[671].start 4666.96409375
transcript.pyannote[671].end 4675.36784375
transcript.pyannote[672].speaker SPEAKER_09
transcript.pyannote[672].start 4676.04284375
transcript.pyannote[672].end 4695.51659375
transcript.pyannote[673].speaker SPEAKER_09
transcript.pyannote[673].start 4695.93846875
transcript.pyannote[673].end 4714.87221875
transcript.pyannote[674].speaker SPEAKER_09
transcript.pyannote[674].start 4715.31096875
transcript.pyannote[674].end 4722.49971875
transcript.pyannote[675].speaker SPEAKER_42
transcript.pyannote[675].start 4722.51659375
transcript.pyannote[675].end 4722.92159375
transcript.pyannote[676].speaker SPEAKER_09
transcript.pyannote[676].start 4722.95534375
transcript.pyannote[676].end 4724.40659375
transcript.pyannote[677].speaker SPEAKER_09
transcript.pyannote[677].start 4724.69346875
transcript.pyannote[677].end 4728.54096875
transcript.pyannote[678].speaker SPEAKER_09
transcript.pyannote[678].start 4729.04721875
transcript.pyannote[678].end 4731.86534375
transcript.pyannote[679].speaker SPEAKER_09
transcript.pyannote[679].start 4732.27034375
transcript.pyannote[679].end 4762.72971875
transcript.pyannote[680].speaker SPEAKER_09
transcript.pyannote[680].start 4763.15159375
transcript.pyannote[680].end 4771.62284375
transcript.pyannote[681].speaker SPEAKER_47
transcript.pyannote[681].start 4772.24721875
transcript.pyannote[681].end 4790.91096875
transcript.pyannote[682].speaker SPEAKER_47
transcript.pyannote[682].start 4791.07971875
transcript.pyannote[682].end 4793.05409375
transcript.pyannote[683].speaker SPEAKER_47
transcript.pyannote[683].start 4793.15534375
transcript.pyannote[683].end 4795.38284375
transcript.pyannote[684].speaker SPEAKER_47
transcript.pyannote[684].start 4796.63159375
transcript.pyannote[684].end 4842.24471875
transcript.pyannote[685].speaker SPEAKER_47
transcript.pyannote[685].start 4842.49784375
transcript.pyannote[685].end 4844.82659375
transcript.pyannote[686].speaker SPEAKER_47
transcript.pyannote[686].start 4845.13034375
transcript.pyannote[686].end 4861.48221875
transcript.pyannote[687].speaker SPEAKER_47
transcript.pyannote[687].start 4861.51596875
transcript.pyannote[687].end 4873.02471875
transcript.pyannote[688].speaker SPEAKER_19
transcript.pyannote[688].start 4873.02471875
transcript.pyannote[688].end 4873.05846875
transcript.pyannote[689].speaker SPEAKER_47
transcript.pyannote[689].start 4873.05846875
transcript.pyannote[689].end 4878.39096875
transcript.pyannote[690].speaker SPEAKER_19
transcript.pyannote[690].start 4876.65284375
transcript.pyannote[690].end 4884.26346875
transcript.pyannote[691].speaker SPEAKER_12
transcript.pyannote[691].start 4883.57159375
transcript.pyannote[691].end 4886.96346875
transcript.pyannote[692].speaker SPEAKER_47
transcript.pyannote[692].start 4884.26346875
transcript.pyannote[692].end 4884.31409375
transcript.pyannote[693].speaker SPEAKER_19
transcript.pyannote[693].start 4884.31409375
transcript.pyannote[693].end 4884.68534375
transcript.pyannote[694].speaker SPEAKER_19
transcript.pyannote[694].start 4886.32221875
transcript.pyannote[694].end 4886.47409375
transcript.pyannote[695].speaker SPEAKER_47
transcript.pyannote[695].start 4886.89596875
transcript.pyannote[695].end 4891.08096875
transcript.pyannote[696].speaker SPEAKER_15
transcript.pyannote[696].start 4891.08096875
transcript.pyannote[696].end 4892.27909375
transcript.pyannote[697].speaker SPEAKER_47
transcript.pyannote[697].start 4891.26659375
transcript.pyannote[697].end 4891.28346875
transcript.pyannote[698].speaker SPEAKER_47
transcript.pyannote[698].start 4891.46909375
transcript.pyannote[698].end 4891.70534375
transcript.pyannote[699].speaker SPEAKER_15
transcript.pyannote[699].start 4893.86534375
transcript.pyannote[699].end 4896.88596875
transcript.pyannote[700].speaker SPEAKER_15
transcript.pyannote[700].start 4896.95346875
transcript.pyannote[700].end 4910.41971875
transcript.pyannote[701].speaker SPEAKER_15
transcript.pyannote[701].start 4910.89221875
transcript.pyannote[701].end 4925.65784375
transcript.pyannote[702].speaker SPEAKER_47
transcript.pyannote[702].start 4926.09659375
transcript.pyannote[702].end 4931.02409375
transcript.pyannote[703].speaker SPEAKER_42
transcript.pyannote[703].start 4931.02409375
transcript.pyannote[703].end 4931.36159375
transcript.pyannote[704].speaker SPEAKER_47
transcript.pyannote[704].start 4931.36159375
transcript.pyannote[704].end 4941.43596875
transcript.pyannote[705].speaker SPEAKER_42
transcript.pyannote[705].start 4931.49659375
transcript.pyannote[705].end 4931.61471875
transcript.pyannote[706].speaker SPEAKER_42
transcript.pyannote[706].start 4933.08284375
transcript.pyannote[706].end 4933.38659375
transcript.pyannote[707].speaker SPEAKER_42
transcript.pyannote[707].start 4933.45409375
transcript.pyannote[707].end 4933.58909375
transcript.pyannote[708].speaker SPEAKER_19
transcript.pyannote[708].start 4940.84534375
transcript.pyannote[708].end 4941.13221875
transcript.pyannote[709].speaker SPEAKER_42
transcript.pyannote[709].start 4941.13221875
transcript.pyannote[709].end 4941.18284375
transcript.pyannote[710].speaker SPEAKER_19
transcript.pyannote[710].start 4941.18284375
transcript.pyannote[710].end 4941.38534375
transcript.pyannote[711].speaker SPEAKER_42
transcript.pyannote[711].start 4941.38534375
transcript.pyannote[711].end 4941.40221875
transcript.pyannote[712].speaker SPEAKER_42
transcript.pyannote[712].start 4941.43596875
transcript.pyannote[712].end 4941.75659375
transcript.pyannote[713].speaker SPEAKER_19
transcript.pyannote[713].start 4941.75659375
transcript.pyannote[713].end 4941.82409375
transcript.pyannote[714].speaker SPEAKER_42
transcript.pyannote[714].start 4941.94221875
transcript.pyannote[714].end 4942.09409375
transcript.pyannote[715].speaker SPEAKER_47
transcript.pyannote[715].start 4943.42721875
transcript.pyannote[715].end 4945.99221875
transcript.pyannote[716].speaker SPEAKER_19
transcript.pyannote[716].start 4943.71409375
transcript.pyannote[716].end 4948.23659375
transcript.pyannote[717].speaker SPEAKER_11
transcript.pyannote[717].start 4947.78096875
transcript.pyannote[717].end 4951.13909375
transcript.pyannote[718].speaker SPEAKER_19
transcript.pyannote[718].start 4950.86909375
transcript.pyannote[718].end 4950.91971875
transcript.pyannote[719].speaker SPEAKER_42
transcript.pyannote[719].start 4950.91971875
transcript.pyannote[719].end 4950.98721875
transcript.pyannote[720].speaker SPEAKER_42
transcript.pyannote[720].start 4951.13909375
transcript.pyannote[720].end 4953.28221875
transcript.pyannote[721].speaker SPEAKER_11
transcript.pyannote[721].start 4953.28221875
transcript.pyannote[721].end 4957.82159375
transcript.pyannote[722].speaker SPEAKER_42
transcript.pyannote[722].start 4957.82159375
transcript.pyannote[722].end 4957.88909375
transcript.pyannote[723].speaker SPEAKER_11
transcript.pyannote[723].start 4957.88909375
transcript.pyannote[723].end 4960.94346875
transcript.pyannote[724].speaker SPEAKER_42
transcript.pyannote[724].start 4958.10846875
transcript.pyannote[724].end 4958.14221875
transcript.pyannote[725].speaker SPEAKER_11
transcript.pyannote[725].start 4961.41596875
transcript.pyannote[725].end 4967.72721875
transcript.pyannote[726].speaker SPEAKER_11
transcript.pyannote[726].start 4968.16596875
transcript.pyannote[726].end 4972.14846875
transcript.pyannote[727].speaker SPEAKER_11
transcript.pyannote[727].start 4972.24971875
transcript.pyannote[727].end 4972.36784375
transcript.pyannote[728].speaker SPEAKER_42
transcript.pyannote[728].start 4972.36784375
transcript.pyannote[728].end 4972.57034375
transcript.pyannote[729].speaker SPEAKER_11
transcript.pyannote[729].start 4972.57034375
transcript.pyannote[729].end 4974.49409375
transcript.pyannote[730].speaker SPEAKER_42
transcript.pyannote[730].start 4975.52346875
transcript.pyannote[730].end 4975.55721875
transcript.pyannote[731].speaker SPEAKER_11
transcript.pyannote[731].start 4975.55721875
transcript.pyannote[731].end 4983.97784375
transcript.pyannote[732].speaker SPEAKER_42
transcript.pyannote[732].start 4975.59096875
transcript.pyannote[732].end 4975.62471875
transcript.pyannote[733].speaker SPEAKER_47
transcript.pyannote[733].start 4980.87284375
transcript.pyannote[733].end 4981.10909375
transcript.pyannote[734].speaker SPEAKER_47
transcript.pyannote[734].start 4984.39971875
transcript.pyannote[734].end 4999.60409375
transcript.pyannote[735].speaker SPEAKER_47
transcript.pyannote[735].start 4999.95846875
transcript.pyannote[735].end 5043.19221875
transcript.pyannote[736].speaker SPEAKER_42
transcript.pyannote[736].start 5043.19221875
transcript.pyannote[736].end 5043.51284375
transcript.pyannote[737].speaker SPEAKER_47
transcript.pyannote[737].start 5043.39471875
transcript.pyannote[737].end 5065.24784375
transcript.pyannote[738].speaker SPEAKER_47
transcript.pyannote[738].start 5065.97346875
transcript.pyannote[738].end 5084.01284375
transcript.pyannote[739].speaker SPEAKER_20
transcript.pyannote[739].start 5082.98346875
transcript.pyannote[739].end 5083.40534375
transcript.pyannote[740].speaker SPEAKER_34
transcript.pyannote[740].start 5083.40534375
transcript.pyannote[740].end 5083.42221875
transcript.pyannote[741].speaker SPEAKER_20
transcript.pyannote[741].start 5085.21096875
transcript.pyannote[741].end 5091.03284375
transcript.pyannote[742].speaker SPEAKER_47
transcript.pyannote[742].start 5085.71721875
transcript.pyannote[742].end 5085.98721875
transcript.pyannote[743].speaker SPEAKER_47
transcript.pyannote[743].start 5087.67471875
transcript.pyannote[743].end 5089.39596875
transcript.pyannote[744].speaker SPEAKER_47
transcript.pyannote[744].start 5089.46346875
transcript.pyannote[744].end 5089.53096875
transcript.pyannote[745].speaker SPEAKER_15
transcript.pyannote[745].start 5090.30721875
transcript.pyannote[745].end 5090.32409375
transcript.pyannote[746].speaker SPEAKER_47
transcript.pyannote[746].start 5090.32409375
transcript.pyannote[746].end 5090.42534375
transcript.pyannote[747].speaker SPEAKER_19
transcript.pyannote[747].start 5090.42534375
transcript.pyannote[747].end 5090.44221875
transcript.pyannote[748].speaker SPEAKER_15
transcript.pyannote[748].start 5090.44221875
transcript.pyannote[748].end 5091.65721875
transcript.pyannote[749].speaker SPEAKER_47
transcript.pyannote[749].start 5091.03284375
transcript.pyannote[749].end 5091.60659375
transcript.pyannote[750].speaker SPEAKER_19
transcript.pyannote[750].start 5091.60659375
transcript.pyannote[750].end 5092.56846875
transcript.pyannote[751].speaker SPEAKER_47
transcript.pyannote[751].start 5091.65721875
transcript.pyannote[751].end 5091.67409375
transcript.pyannote[752].speaker SPEAKER_15
transcript.pyannote[752].start 5091.67409375
transcript.pyannote[752].end 5091.74159375
transcript.pyannote[753].speaker SPEAKER_20
transcript.pyannote[753].start 5092.56846875
transcript.pyannote[753].end 5092.88909375
transcript.pyannote[754].speaker SPEAKER_15
transcript.pyannote[754].start 5093.41221875
transcript.pyannote[754].end 5095.35284375
transcript.pyannote[755].speaker SPEAKER_15
transcript.pyannote[755].start 5095.58909375
transcript.pyannote[755].end 5097.05721875
transcript.pyannote[756].speaker SPEAKER_47
transcript.pyannote[756].start 5096.80409375
transcript.pyannote[756].end 5098.82909375
transcript.pyannote[757].speaker SPEAKER_15
transcript.pyannote[757].start 5098.82909375
transcript.pyannote[757].end 5105.68034375
transcript.pyannote[758].speaker SPEAKER_47
transcript.pyannote[758].start 5102.49096875
transcript.pyannote[758].end 5105.47784375
transcript.pyannote[759].speaker SPEAKER_47
transcript.pyannote[759].start 5105.84909375
transcript.pyannote[759].end 5123.33159375
transcript.pyannote[760].speaker SPEAKER_20
transcript.pyannote[760].start 5123.68596875
transcript.pyannote[760].end 5127.02721875
transcript.pyannote[761].speaker SPEAKER_47
transcript.pyannote[761].start 5124.31034375
transcript.pyannote[761].end 5125.82909375
transcript.pyannote[762].speaker SPEAKER_30
transcript.pyannote[762].start 5127.55034375
transcript.pyannote[762].end 5128.84971875
transcript.pyannote[763].speaker SPEAKER_30
transcript.pyannote[763].start 5129.67659375
transcript.pyannote[763].end 5159.41034375
transcript.pyannote[764].speaker SPEAKER_30
transcript.pyannote[764].start 5159.62971875
transcript.pyannote[764].end 5165.50221875
transcript.pyannote[765].speaker SPEAKER_30
transcript.pyannote[765].start 5165.73846875
transcript.pyannote[765].end 5197.56471875
transcript.pyannote[766].speaker SPEAKER_47
transcript.pyannote[766].start 5198.29034375
transcript.pyannote[766].end 5202.94784375
transcript.pyannote[767].speaker SPEAKER_47
transcript.pyannote[767].start 5204.34846875
transcript.pyannote[767].end 5206.05284375
transcript.pyannote[768].speaker SPEAKER_44
transcript.pyannote[768].start 5205.12471875
transcript.pyannote[768].end 5206.01909375
transcript.pyannote[769].speaker SPEAKER_42
transcript.pyannote[769].start 5206.01909375
transcript.pyannote[769].end 5206.03596875
transcript.pyannote[770].speaker SPEAKER_42
transcript.pyannote[770].start 5206.05284375
transcript.pyannote[770].end 5206.22159375
transcript.pyannote[771].speaker SPEAKER_44
transcript.pyannote[771].start 5207.52096875
transcript.pyannote[771].end 5216.34659375
transcript.pyannote[772].speaker SPEAKER_44
transcript.pyannote[772].start 5216.88659375
transcript.pyannote[772].end 5225.27346875
transcript.pyannote[773].speaker SPEAKER_42
transcript.pyannote[773].start 5219.53596875
transcript.pyannote[773].end 5219.87346875
transcript.pyannote[774].speaker SPEAKER_44
transcript.pyannote[774].start 5225.47596875
transcript.pyannote[774].end 5226.91034375
transcript.pyannote[775].speaker SPEAKER_44
transcript.pyannote[775].start 5227.12971875
transcript.pyannote[775].end 5227.63596875
transcript.pyannote[776].speaker SPEAKER_44
transcript.pyannote[776].start 5227.68659375
transcript.pyannote[776].end 5228.96909375
transcript.pyannote[777].speaker SPEAKER_47
transcript.pyannote[777].start 5228.96909375
transcript.pyannote[777].end 5233.50846875
transcript.pyannote[778].speaker SPEAKER_05
transcript.pyannote[778].start 5235.31409375
transcript.pyannote[778].end 5237.59221875
transcript.pyannote[779].speaker SPEAKER_42
transcript.pyannote[779].start 5237.59221875
transcript.pyannote[779].end 5238.03096875
transcript.pyannote[780].speaker SPEAKER_05
transcript.pyannote[780].start 5239.65096875
transcript.pyannote[780].end 5241.33846875
transcript.pyannote[781].speaker SPEAKER_05
transcript.pyannote[781].start 5241.87846875
transcript.pyannote[781].end 5243.27909375
transcript.pyannote[782].speaker SPEAKER_05
transcript.pyannote[782].start 5244.47721875
transcript.pyannote[782].end 5245.96221875
transcript.pyannote[783].speaker SPEAKER_10
transcript.pyannote[783].start 5245.96221875
transcript.pyannote[783].end 5246.55284375
transcript.pyannote[784].speaker SPEAKER_10
transcript.pyannote[784].start 5246.83971875
transcript.pyannote[784].end 5251.66596875
transcript.pyannote[785].speaker SPEAKER_05
transcript.pyannote[785].start 5251.66596875
transcript.pyannote[785].end 5254.90596875
transcript.pyannote[786].speaker SPEAKER_05
transcript.pyannote[786].start 5255.78346875
transcript.pyannote[786].end 5257.21784375
transcript.pyannote[787].speaker SPEAKER_42
transcript.pyannote[787].start 5257.21784375
transcript.pyannote[787].end 5257.87596875
transcript.pyannote[788].speaker SPEAKER_05
transcript.pyannote[788].start 5257.87596875
transcript.pyannote[788].end 5265.60471875
transcript.pyannote[789].speaker SPEAKER_42
transcript.pyannote[789].start 5257.96034375
transcript.pyannote[789].end 5257.99409375
transcript.pyannote[790].speaker SPEAKER_05
transcript.pyannote[790].start 5266.61721875
transcript.pyannote[790].end 5270.63346875
transcript.pyannote[791].speaker SPEAKER_10
transcript.pyannote[791].start 5270.63346875
transcript.pyannote[791].end 5275.78034375
transcript.pyannote[792].speaker SPEAKER_05
transcript.pyannote[792].start 5273.24909375
transcript.pyannote[792].end 5274.27846875
transcript.pyannote[793].speaker SPEAKER_05
transcript.pyannote[793].start 5275.78034375
transcript.pyannote[793].end 5290.95096875
transcript.pyannote[794].speaker SPEAKER_10
transcript.pyannote[794].start 5275.79721875
transcript.pyannote[794].end 5276.10096875
transcript.pyannote[795].speaker SPEAKER_42
transcript.pyannote[795].start 5278.90221875
transcript.pyannote[795].end 5279.03721875
transcript.pyannote[796].speaker SPEAKER_08
transcript.pyannote[796].start 5285.77034375
transcript.pyannote[796].end 5285.90534375
transcript.pyannote[797].speaker SPEAKER_42
transcript.pyannote[797].start 5285.90534375
transcript.pyannote[797].end 5286.22596875
transcript.pyannote[798].speaker SPEAKER_08
transcript.pyannote[798].start 5286.22596875
transcript.pyannote[798].end 5286.44534375
transcript.pyannote[799].speaker SPEAKER_05
transcript.pyannote[799].start 5291.20409375
transcript.pyannote[799].end 5292.28409375
transcript.pyannote[800].speaker SPEAKER_05
transcript.pyannote[800].start 5292.97596875
transcript.pyannote[800].end 5296.78971875
transcript.pyannote[801].speaker SPEAKER_20
transcript.pyannote[801].start 5295.86159375
transcript.pyannote[801].end 5300.45159375
transcript.pyannote[802].speaker SPEAKER_05
transcript.pyannote[802].start 5297.86971875
transcript.pyannote[802].end 5298.59534375
transcript.pyannote[803].speaker SPEAKER_05
transcript.pyannote[803].start 5300.41784375
transcript.pyannote[803].end 5302.39221875
transcript.pyannote[804].speaker SPEAKER_10
transcript.pyannote[804].start 5302.39221875
transcript.pyannote[804].end 5310.32346875
transcript.pyannote[805].speaker SPEAKER_05
transcript.pyannote[805].start 5309.53034375
transcript.pyannote[805].end 5311.77471875
transcript.pyannote[806].speaker SPEAKER_10
transcript.pyannote[806].start 5311.55534375
transcript.pyannote[806].end 5311.57221875
transcript.pyannote[807].speaker SPEAKER_10
transcript.pyannote[807].start 5311.77471875
transcript.pyannote[807].end 5311.79159375
transcript.pyannote[808].speaker SPEAKER_05
transcript.pyannote[808].start 5311.79159375
transcript.pyannote[808].end 5313.29346875
transcript.pyannote[809].speaker SPEAKER_17
transcript.pyannote[809].start 5313.29346875
transcript.pyannote[809].end 5313.39471875
transcript.pyannote[810].speaker SPEAKER_17
transcript.pyannote[810].start 5313.81659375
transcript.pyannote[810].end 5325.07221875
transcript.pyannote[811].speaker SPEAKER_21
transcript.pyannote[811].start 5314.23846875
transcript.pyannote[811].end 5314.25534375
transcript.pyannote[812].speaker SPEAKER_05
transcript.pyannote[812].start 5314.25534375
transcript.pyannote[812].end 5317.25909375
transcript.pyannote[813].speaker SPEAKER_31
transcript.pyannote[813].start 5319.82409375
transcript.pyannote[813].end 5320.24596875
transcript.pyannote[814].speaker SPEAKER_05
transcript.pyannote[814].start 5320.24596875
transcript.pyannote[814].end 5320.33034375
transcript.pyannote[815].speaker SPEAKER_31
transcript.pyannote[815].start 5320.33034375
transcript.pyannote[815].end 5320.58346875
transcript.pyannote[816].speaker SPEAKER_05
transcript.pyannote[816].start 5320.58346875
transcript.pyannote[816].end 5320.60034375
transcript.pyannote[817].speaker SPEAKER_17
transcript.pyannote[817].start 5325.49409375
transcript.pyannote[817].end 5343.75284375
transcript.pyannote[818].speaker SPEAKER_05
transcript.pyannote[818].start 5342.20034375
transcript.pyannote[818].end 5345.10284375
transcript.pyannote[819].speaker SPEAKER_05
transcript.pyannote[819].start 5345.38971875
transcript.pyannote[819].end 5347.98846875
transcript.pyannote[820].speaker SPEAKER_05
transcript.pyannote[820].start 5348.15721875
transcript.pyannote[820].end 5348.96721875
transcript.pyannote[821].speaker SPEAKER_10
transcript.pyannote[821].start 5348.96721875
transcript.pyannote[821].end 5349.03471875
transcript.pyannote[822].speaker SPEAKER_05
transcript.pyannote[822].start 5349.03471875
transcript.pyannote[822].end 5351.95409375
transcript.pyannote[823].speaker SPEAKER_10
transcript.pyannote[823].start 5349.55784375
transcript.pyannote[823].end 5350.43534375
transcript.pyannote[824].speaker SPEAKER_10
transcript.pyannote[824].start 5351.80221875
transcript.pyannote[824].end 5362.09596875
transcript.pyannote[825].speaker SPEAKER_05
transcript.pyannote[825].start 5362.09596875
transcript.pyannote[825].end 5364.82971875
transcript.pyannote[826].speaker SPEAKER_10
transcript.pyannote[826].start 5364.37409375
transcript.pyannote[826].end 5369.21721875
transcript.pyannote[827].speaker SPEAKER_05
transcript.pyannote[827].start 5365.74096875
transcript.pyannote[827].end 5374.60034375
transcript.pyannote[828].speaker SPEAKER_10
transcript.pyannote[828].start 5369.23409375
transcript.pyannote[828].end 5369.25096875
transcript.pyannote[829].speaker SPEAKER_10
transcript.pyannote[829].start 5369.43659375
transcript.pyannote[829].end 5369.75721875
transcript.pyannote[830].speaker SPEAKER_10
transcript.pyannote[830].start 5372.37284375
transcript.pyannote[830].end 5372.77784375
transcript.pyannote[831].speaker SPEAKER_05
transcript.pyannote[831].start 5375.22471875
transcript.pyannote[831].end 5375.78159375
transcript.pyannote[832].speaker SPEAKER_05
transcript.pyannote[832].start 5376.79409375
transcript.pyannote[832].end 5378.88659375
transcript.pyannote[833].speaker SPEAKER_05
transcript.pyannote[833].start 5379.39284375
transcript.pyannote[833].end 5382.64971875
transcript.pyannote[834].speaker SPEAKER_10
transcript.pyannote[834].start 5382.64971875
transcript.pyannote[834].end 5386.54784375
transcript.pyannote[835].speaker SPEAKER_05
transcript.pyannote[835].start 5385.72096875
transcript.pyannote[835].end 5387.44221875
transcript.pyannote[836].speaker SPEAKER_10
transcript.pyannote[836].start 5386.86846875
transcript.pyannote[836].end 5387.42534375
transcript.pyannote[837].speaker SPEAKER_17
transcript.pyannote[837].start 5387.42534375
transcript.pyannote[837].end 5388.82596875
transcript.pyannote[838].speaker SPEAKER_10
transcript.pyannote[838].start 5387.44221875
transcript.pyannote[838].end 5387.47596875
transcript.pyannote[839].speaker SPEAKER_17
transcript.pyannote[839].start 5389.18034375
transcript.pyannote[839].end 5391.08721875
transcript.pyannote[840].speaker SPEAKER_05
transcript.pyannote[840].start 5391.08721875
transcript.pyannote[840].end 5391.25596875
transcript.pyannote[841].speaker SPEAKER_17
transcript.pyannote[841].start 5391.25596875
transcript.pyannote[841].end 5391.39096875
transcript.pyannote[842].speaker SPEAKER_05
transcript.pyannote[842].start 5391.39096875
transcript.pyannote[842].end 5391.96471875
transcript.pyannote[843].speaker SPEAKER_05
transcript.pyannote[843].start 5392.67346875
transcript.pyannote[843].end 5393.68596875
transcript.pyannote[844].speaker SPEAKER_05
transcript.pyannote[844].start 5394.81659375
transcript.pyannote[844].end 5396.21721875
transcript.pyannote[845].speaker SPEAKER_20
transcript.pyannote[845].start 5395.50846875
transcript.pyannote[845].end 5395.69409375
transcript.pyannote[846].speaker SPEAKER_19
transcript.pyannote[846].start 5395.69409375
transcript.pyannote[846].end 5396.03159375
transcript.pyannote[847].speaker SPEAKER_20
transcript.pyannote[847].start 5396.03159375
transcript.pyannote[847].end 5396.20034375
transcript.pyannote[848].speaker SPEAKER_20
transcript.pyannote[848].start 5396.21721875
transcript.pyannote[848].end 5401.36409375
transcript.pyannote[849].speaker SPEAKER_10
transcript.pyannote[849].start 5400.26721875
transcript.pyannote[849].end 5403.23721875
transcript.pyannote[850].speaker SPEAKER_20
transcript.pyannote[850].start 5401.44846875
transcript.pyannote[850].end 5401.48221875
transcript.pyannote[851].speaker SPEAKER_47
transcript.pyannote[851].start 5403.06846875
transcript.pyannote[851].end 5406.37596875
transcript.pyannote[852].speaker SPEAKER_30
transcript.pyannote[852].start 5406.34221875
transcript.pyannote[852].end 5406.35909375
transcript.pyannote[853].speaker SPEAKER_30
transcript.pyannote[853].start 5406.37596875
transcript.pyannote[853].end 5407.03409375
transcript.pyannote[854].speaker SPEAKER_30
transcript.pyannote[854].start 5409.02534375
transcript.pyannote[854].end 5429.83221875
transcript.pyannote[855].speaker SPEAKER_47
transcript.pyannote[855].start 5429.93346875
transcript.pyannote[855].end 5437.96596875
transcript.pyannote[856].speaker SPEAKER_47
transcript.pyannote[856].start 5438.42159375
transcript.pyannote[856].end 5439.63659375
transcript.pyannote[857].speaker SPEAKER_41
transcript.pyannote[857].start 5439.63659375
transcript.pyannote[857].end 5450.03159375
transcript.pyannote[858].speaker SPEAKER_47
transcript.pyannote[858].start 5441.32409375
transcript.pyannote[858].end 5441.91471875
transcript.pyannote[859].speaker SPEAKER_47
transcript.pyannote[859].start 5443.14659375
transcript.pyannote[859].end 5444.96909375
transcript.pyannote[860].speaker SPEAKER_42
transcript.pyannote[860].start 5444.96909375
transcript.pyannote[860].end 5446.70721875
transcript.pyannote[861].speaker SPEAKER_41
transcript.pyannote[861].start 5450.35221875
transcript.pyannote[861].end 5453.37284375
transcript.pyannote[862].speaker SPEAKER_41
transcript.pyannote[862].start 5453.84534375
transcript.pyannote[862].end 5455.48221875
transcript.pyannote[863].speaker SPEAKER_41
transcript.pyannote[863].start 5455.90409375
transcript.pyannote[863].end 5459.02596875
transcript.pyannote[864].speaker SPEAKER_41
transcript.pyannote[864].start 5459.53221875
transcript.pyannote[864].end 5478.22971875
transcript.pyannote[865].speaker SPEAKER_41
transcript.pyannote[865].start 5478.51659375
transcript.pyannote[865].end 5481.25034375
transcript.pyannote[866].speaker SPEAKER_42
transcript.pyannote[866].start 5479.76534375
transcript.pyannote[866].end 5481.01409375
transcript.pyannote[867].speaker SPEAKER_20
transcript.pyannote[867].start 5481.01409375
transcript.pyannote[867].end 5481.09846875
transcript.pyannote[868].speaker SPEAKER_19
transcript.pyannote[868].start 5481.25034375
transcript.pyannote[868].end 5481.73971875
transcript.pyannote[869].speaker SPEAKER_41
transcript.pyannote[869].start 5481.73971875
transcript.pyannote[869].end 5487.89909375
transcript.pyannote[870].speaker SPEAKER_19
transcript.pyannote[870].start 5481.75659375
transcript.pyannote[870].end 5481.97596875
transcript.pyannote[871].speaker SPEAKER_42
transcript.pyannote[871].start 5481.97596875
transcript.pyannote[871].end 5482.92096875
transcript.pyannote[872].speaker SPEAKER_19
transcript.pyannote[872].start 5486.92034375
transcript.pyannote[872].end 5486.93721875
transcript.pyannote[873].speaker SPEAKER_41
transcript.pyannote[873].start 5488.75971875
transcript.pyannote[873].end 5499.17159375
transcript.pyannote[874].speaker SPEAKER_20
transcript.pyannote[874].start 5499.76221875
transcript.pyannote[874].end 5504.85846875
transcript.pyannote[875].speaker SPEAKER_15
transcript.pyannote[875].start 5504.33534375
transcript.pyannote[875].end 5510.93346875
transcript.pyannote[876].speaker SPEAKER_41
transcript.pyannote[876].start 5504.85846875
transcript.pyannote[876].end 5504.97659375
transcript.pyannote[877].speaker SPEAKER_42
transcript.pyannote[877].start 5504.97659375
transcript.pyannote[877].end 5505.29721875
transcript.pyannote[878].speaker SPEAKER_41
transcript.pyannote[878].start 5505.29721875
transcript.pyannote[878].end 5505.38159375
transcript.pyannote[879].speaker SPEAKER_20
transcript.pyannote[879].start 5505.38159375
transcript.pyannote[879].end 5505.97221875
transcript.pyannote[880].speaker SPEAKER_20
transcript.pyannote[880].start 5506.19159375
transcript.pyannote[880].end 5506.57971875
transcript.pyannote[881].speaker SPEAKER_42
transcript.pyannote[881].start 5506.57971875
transcript.pyannote[881].end 5507.01846875
transcript.pyannote[882].speaker SPEAKER_20
transcript.pyannote[882].start 5507.01846875
transcript.pyannote[882].end 5507.03534375
transcript.pyannote[883].speaker SPEAKER_15
transcript.pyannote[883].start 5510.95034375
transcript.pyannote[883].end 5510.98409375
transcript.pyannote[884].speaker SPEAKER_42
transcript.pyannote[884].start 5510.98409375
transcript.pyannote[884].end 5511.33846875
transcript.pyannote[885].speaker SPEAKER_15
transcript.pyannote[885].start 5511.33846875
transcript.pyannote[885].end 5518.25721875
transcript.pyannote[886].speaker SPEAKER_15
transcript.pyannote[886].start 5518.86471875
transcript.pyannote[886].end 5526.13784375
transcript.pyannote[887].speaker SPEAKER_15
transcript.pyannote[887].start 5526.52596875
transcript.pyannote[887].end 5533.27596875
transcript.pyannote[888].speaker SPEAKER_15
transcript.pyannote[888].start 5533.74846875
transcript.pyannote[888].end 5536.11096875
transcript.pyannote[889].speaker SPEAKER_15
transcript.pyannote[889].start 5536.34721875
transcript.pyannote[889].end 5538.08534375
transcript.pyannote[890].speaker SPEAKER_15
transcript.pyannote[890].start 5538.87846875
transcript.pyannote[890].end 5539.28346875
transcript.pyannote[891].speaker SPEAKER_15
transcript.pyannote[891].start 5539.95846875
transcript.pyannote[891].end 5542.54034375
transcript.pyannote[892].speaker SPEAKER_42
transcript.pyannote[892].start 5542.86096875
transcript.pyannote[892].end 5543.13096875
transcript.pyannote[893].speaker SPEAKER_42
transcript.pyannote[893].start 5545.30784375
transcript.pyannote[893].end 5545.52721875
transcript.pyannote[894].speaker SPEAKER_15
transcript.pyannote[894].start 5546.53971875
transcript.pyannote[894].end 5550.70784375
transcript.pyannote[895].speaker SPEAKER_47
transcript.pyannote[895].start 5552.76659375
transcript.pyannote[895].end 5552.96909375
transcript.pyannote[896].speaker SPEAKER_15
transcript.pyannote[896].start 5552.96909375
transcript.pyannote[896].end 5552.98596875
transcript.pyannote[897].speaker SPEAKER_47
transcript.pyannote[897].start 5552.98596875
transcript.pyannote[897].end 5554.28534375
transcript.pyannote[898].speaker SPEAKER_47
transcript.pyannote[898].start 5554.38659375
transcript.pyannote[898].end 5575.54784375
transcript.pyannote[899].speaker SPEAKER_15
transcript.pyannote[899].start 5554.60596875
transcript.pyannote[899].end 5555.01096875
transcript.pyannote[900].speaker SPEAKER_47
transcript.pyannote[900].start 5576.07096875
transcript.pyannote[900].end 5583.98534375
transcript.pyannote[901].speaker SPEAKER_42
transcript.pyannote[901].start 5579.66534375
transcript.pyannote[901].end 5579.76659375
transcript.pyannote[902].speaker SPEAKER_15
transcript.pyannote[902].start 5579.76659375
transcript.pyannote[902].end 5579.96909375
transcript.pyannote[903].speaker SPEAKER_42
transcript.pyannote[903].start 5579.96909375
transcript.pyannote[903].end 5580.96471875
transcript.pyannote[904].speaker SPEAKER_00
transcript.pyannote[904].start 5580.96471875
transcript.pyannote[904].end 5581.03221875
transcript.pyannote[905].speaker SPEAKER_42
transcript.pyannote[905].start 5581.03221875
transcript.pyannote[905].end 5581.50471875
transcript.pyannote[906].speaker SPEAKER_47
transcript.pyannote[906].start 5584.44096875
transcript.pyannote[906].end 5603.44221875
transcript.pyannote[907].speaker SPEAKER_20
transcript.pyannote[907].start 5602.36221875
transcript.pyannote[907].end 5605.65284375
transcript.pyannote[908].speaker SPEAKER_20
transcript.pyannote[908].start 5605.97346875
transcript.pyannote[908].end 5606.00721875
transcript.pyannote[909].speaker SPEAKER_20
transcript.pyannote[909].start 5606.78346875
transcript.pyannote[909].end 5617.07721875
transcript.pyannote[910].speaker SPEAKER_47
transcript.pyannote[910].start 5610.36096875
transcript.pyannote[910].end 5612.40284375
transcript.pyannote[911].speaker SPEAKER_30
transcript.pyannote[911].start 5612.40284375
transcript.pyannote[911].end 5612.52096875
transcript.pyannote[912].speaker SPEAKER_30
transcript.pyannote[912].start 5616.92534375
transcript.pyannote[912].end 5630.74596875
transcript.pyannote[913].speaker SPEAKER_30
transcript.pyannote[913].start 5631.04971875
transcript.pyannote[913].end 5694.82034375
transcript.pyannote[914].speaker SPEAKER_47
transcript.pyannote[914].start 5694.12846875
transcript.pyannote[914].end 5694.14534375
transcript.pyannote[915].speaker SPEAKER_42
transcript.pyannote[915].start 5694.14534375
transcript.pyannote[915].end 5694.51659375
transcript.pyannote[916].speaker SPEAKER_47
transcript.pyannote[916].start 5694.51659375
transcript.pyannote[916].end 5694.55034375
transcript.pyannote[917].speaker SPEAKER_42
transcript.pyannote[917].start 5694.82034375
transcript.pyannote[917].end 5695.02284375
transcript.pyannote[918].speaker SPEAKER_20
transcript.pyannote[918].start 5695.02284375
transcript.pyannote[918].end 5695.10721875
transcript.pyannote[919].speaker SPEAKER_42
transcript.pyannote[919].start 5695.10721875
transcript.pyannote[919].end 5696.17034375
transcript.pyannote[920].speaker SPEAKER_20
transcript.pyannote[920].start 5696.17034375
transcript.pyannote[920].end 5696.32221875
transcript.pyannote[921].speaker SPEAKER_30
transcript.pyannote[921].start 5696.32221875
transcript.pyannote[921].end 5697.11534375
transcript.pyannote[922].speaker SPEAKER_47
transcript.pyannote[922].start 5696.32221875
transcript.pyannote[922].end 5698.53284375
transcript.pyannote[923].speaker SPEAKER_20
transcript.pyannote[923].start 5697.11534375
transcript.pyannote[923].end 5697.35159375
transcript.pyannote[924].speaker SPEAKER_30
transcript.pyannote[924].start 5697.35159375
transcript.pyannote[924].end 5697.97596875
transcript.pyannote[925].speaker SPEAKER_20
transcript.pyannote[925].start 5697.97596875
transcript.pyannote[925].end 5698.51596875
transcript.pyannote[926].speaker SPEAKER_20
transcript.pyannote[926].start 5698.53284375
transcript.pyannote[926].end 5706.68346875
transcript.pyannote[927].speaker SPEAKER_46
transcript.pyannote[927].start 5705.23221875
transcript.pyannote[927].end 5741.76659375
transcript.pyannote[928].speaker SPEAKER_42
transcript.pyannote[928].start 5741.76659375
transcript.pyannote[928].end 5742.76221875
transcript.pyannote[929].speaker SPEAKER_46
transcript.pyannote[929].start 5742.39096875
transcript.pyannote[929].end 5753.78159375
transcript.pyannote[930].speaker SPEAKER_19
transcript.pyannote[930].start 5753.78159375
transcript.pyannote[930].end 5757.54471875
transcript.pyannote[931].speaker SPEAKER_47
transcript.pyannote[931].start 5755.03034375
transcript.pyannote[931].end 5755.06409375
transcript.pyannote[932].speaker SPEAKER_46
transcript.pyannote[932].start 5755.06409375
transcript.pyannote[932].end 5756.36346875
transcript.pyannote[933].speaker SPEAKER_47
transcript.pyannote[933].start 5756.36346875
transcript.pyannote[933].end 5756.53221875
transcript.pyannote[934].speaker SPEAKER_46
transcript.pyannote[934].start 5756.53221875
transcript.pyannote[934].end 5756.59971875
transcript.pyannote[935].speaker SPEAKER_47
transcript.pyannote[935].start 5756.59971875
transcript.pyannote[935].end 5761.22346875
transcript.pyannote[936].speaker SPEAKER_19
transcript.pyannote[936].start 5761.22346875
transcript.pyannote[936].end 5761.25721875
transcript.pyannote[937].speaker SPEAKER_47
transcript.pyannote[937].start 5761.25721875
transcript.pyannote[937].end 5761.32471875
transcript.pyannote[938].speaker SPEAKER_23
transcript.pyannote[938].start 5762.06721875
transcript.pyannote[938].end 5784.30846875
transcript.pyannote[939].speaker SPEAKER_23
transcript.pyannote[939].start 5784.52784375
transcript.pyannote[939].end 5795.02409375
transcript.pyannote[940].speaker SPEAKER_42
transcript.pyannote[940].start 5795.02409375
transcript.pyannote[940].end 5795.85096875
transcript.pyannote[941].speaker SPEAKER_23
transcript.pyannote[941].start 5795.85096875
transcript.pyannote[941].end 5983.43346875
transcript.pyannote[942].speaker SPEAKER_42
transcript.pyannote[942].start 5796.44159375
transcript.pyannote[942].end 5796.86346875
transcript.pyannote[943].speaker SPEAKER_44
transcript.pyannote[943].start 5983.43346875
transcript.pyannote[943].end 5983.55159375
transcript.pyannote[944].speaker SPEAKER_23
transcript.pyannote[944].start 5983.55159375
transcript.pyannote[944].end 5995.04346875
transcript.pyannote[945].speaker SPEAKER_47
transcript.pyannote[945].start 5995.49909375
transcript.pyannote[945].end 5999.39721875
transcript.pyannote[946].speaker SPEAKER_18
transcript.pyannote[946].start 6000.27471875
transcript.pyannote[946].end 6002.02971875
transcript.pyannote[947].speaker SPEAKER_12
transcript.pyannote[947].start 6003.26159375
transcript.pyannote[947].end 6003.27846875
transcript.pyannote[948].speaker SPEAKER_18
transcript.pyannote[948].start 6003.27846875
transcript.pyannote[948].end 6003.66659375
transcript.pyannote[949].speaker SPEAKER_12
transcript.pyannote[949].start 6003.66659375
transcript.pyannote[949].end 6089.22284375
transcript.pyannote[950].speaker SPEAKER_00
transcript.pyannote[950].start 6020.25471875
transcript.pyannote[950].end 6020.67659375
transcript.pyannote[951].speaker SPEAKER_18
transcript.pyannote[951].start 6030.02534375
transcript.pyannote[951].end 6030.32909375
transcript.pyannote[952].speaker SPEAKER_42
transcript.pyannote[952].start 6073.42784375
transcript.pyannote[952].end 6073.44471875
transcript.pyannote[953].speaker SPEAKER_47
transcript.pyannote[953].start 6089.86409375
transcript.pyannote[953].end 6099.24659375
transcript.pyannote[954].speaker SPEAKER_18
transcript.pyannote[954].start 6099.38159375
transcript.pyannote[954].end 6101.32221875
transcript.pyannote[955].speaker SPEAKER_47
transcript.pyannote[955].start 6101.79471875
transcript.pyannote[955].end 6111.70034375
transcript.pyannote[956].speaker SPEAKER_18
transcript.pyannote[956].start 6104.74784375
transcript.pyannote[956].end 6104.89971875
transcript.pyannote[957].speaker SPEAKER_18
transcript.pyannote[957].start 6104.95034375
transcript.pyannote[957].end 6111.76784375
transcript.pyannote[958].speaker SPEAKER_47
transcript.pyannote[958].start 6111.76784375
transcript.pyannote[958].end 6113.42159375
transcript.pyannote[959].speaker SPEAKER_18
transcript.pyannote[959].start 6111.95346875
transcript.pyannote[959].end 6112.47659375
transcript.pyannote[960].speaker SPEAKER_18
transcript.pyannote[960].start 6114.63659375
transcript.pyannote[960].end 6117.47159375
transcript.pyannote[961].speaker SPEAKER_47
transcript.pyannote[961].start 6114.72096875
transcript.pyannote[961].end 6115.05846875
transcript.pyannote[962].speaker SPEAKER_47
transcript.pyannote[962].start 6115.81784375
transcript.pyannote[962].end 6139.64534375
transcript.pyannote[963].speaker SPEAKER_18
transcript.pyannote[963].start 6118.14659375
transcript.pyannote[963].end 6119.37846875
transcript.pyannote[964].speaker SPEAKER_18
transcript.pyannote[964].start 6121.26846875
transcript.pyannote[964].end 6121.82534375
transcript.pyannote[965].speaker SPEAKER_42
transcript.pyannote[965].start 6121.82534375
transcript.pyannote[965].end 6121.85909375
transcript.pyannote[966].speaker SPEAKER_18
transcript.pyannote[966].start 6121.85909375
transcript.pyannote[966].end 6121.97721875
transcript.pyannote[967].speaker SPEAKER_42
transcript.pyannote[967].start 6121.97721875
transcript.pyannote[967].end 6122.23034375
transcript.pyannote[968].speaker SPEAKER_18
transcript.pyannote[968].start 6122.23034375
transcript.pyannote[968].end 6122.41596875
transcript.pyannote[969].speaker SPEAKER_43
transcript.pyannote[969].start 6122.41596875
transcript.pyannote[969].end 6122.46659375
transcript.pyannote[970].speaker SPEAKER_47
transcript.pyannote[970].start 6139.71284375
transcript.pyannote[970].end 6143.81346875
transcript.pyannote[971].speaker SPEAKER_17
transcript.pyannote[971].start 6144.84284375
transcript.pyannote[971].end 6159.96284375
transcript.pyannote[972].speaker SPEAKER_00
transcript.pyannote[972].start 6158.10659375
transcript.pyannote[972].end 6158.20784375
transcript.pyannote[973].speaker SPEAKER_17
transcript.pyannote[973].start 6160.09784375
transcript.pyannote[973].end 6167.89409375
transcript.pyannote[974].speaker SPEAKER_17
transcript.pyannote[974].start 6168.28221875
transcript.pyannote[974].end 6192.66659375
transcript.pyannote[975].speaker SPEAKER_42
transcript.pyannote[975].start 6174.34034375
transcript.pyannote[975].end 6174.40784375
transcript.pyannote[976].speaker SPEAKER_42
transcript.pyannote[976].start 6174.42471875
transcript.pyannote[976].end 6174.47534375
transcript.pyannote[977].speaker SPEAKER_42
transcript.pyannote[977].start 6191.92409375
transcript.pyannote[977].end 6193.69596875
transcript.pyannote[978].speaker SPEAKER_17
transcript.pyannote[978].start 6192.85221875
transcript.pyannote[978].end 6199.36596875
transcript.pyannote[979].speaker SPEAKER_47
transcript.pyannote[979].start 6193.69596875
transcript.pyannote[979].end 6193.79721875
transcript.pyannote[980].speaker SPEAKER_47
transcript.pyannote[980].start 6199.83846875
transcript.pyannote[980].end 6204.22596875
transcript.pyannote[981].speaker SPEAKER_17
transcript.pyannote[981].start 6200.05784375
transcript.pyannote[981].end 6200.68221875
transcript.pyannote[982].speaker SPEAKER_47
transcript.pyannote[982].start 6204.58034375
transcript.pyannote[982].end 6206.97659375
transcript.pyannote[983].speaker SPEAKER_42
transcript.pyannote[983].start 6207.21284375
transcript.pyannote[983].end 6207.33096875
transcript.pyannote[984].speaker SPEAKER_17
transcript.pyannote[984].start 6207.33096875
transcript.pyannote[984].end 6207.75284375
transcript.pyannote[985].speaker SPEAKER_42
transcript.pyannote[985].start 6207.75284375
transcript.pyannote[985].end 6208.02284375
transcript.pyannote[986].speaker SPEAKER_47
transcript.pyannote[986].start 6209.86221875
transcript.pyannote[986].end 6210.72284375
transcript.pyannote[987].speaker SPEAKER_17
transcript.pyannote[987].start 6213.01784375
transcript.pyannote[987].end 6217.86096875
transcript.pyannote[988].speaker SPEAKER_47
transcript.pyannote[988].start 6214.53659375
transcript.pyannote[988].end 6214.82346875
transcript.pyannote[989].speaker SPEAKER_47
transcript.pyannote[989].start 6218.67096875
transcript.pyannote[989].end 6219.17721875
transcript.pyannote[990].speaker SPEAKER_47
transcript.pyannote[990].start 6219.91971875
transcript.pyannote[990].end 6224.30721875
transcript.pyannote[991].speaker SPEAKER_18
transcript.pyannote[991].start 6224.30721875
transcript.pyannote[991].end 6225.38721875
transcript.pyannote[992].speaker SPEAKER_47
transcript.pyannote[992].start 6226.24784375
transcript.pyannote[992].end 6227.78346875
transcript.pyannote[993].speaker SPEAKER_18
transcript.pyannote[993].start 6227.42909375
transcript.pyannote[993].end 6228.07034375
transcript.pyannote[994].speaker SPEAKER_47
transcript.pyannote[994].start 6228.01971875
transcript.pyannote[994].end 6230.98971875
transcript.pyannote[995].speaker SPEAKER_47
transcript.pyannote[995].start 6232.67721875
transcript.pyannote[995].end 6242.59971875
transcript.pyannote[996].speaker SPEAKER_30
transcript.pyannote[996].start 6243.05534375
transcript.pyannote[996].end 6245.53596875
transcript.pyannote[997].speaker SPEAKER_30
transcript.pyannote[997].start 6245.83971875
transcript.pyannote[997].end 6253.14659375
transcript.pyannote[998].speaker SPEAKER_47
transcript.pyannote[998].start 6253.97346875
transcript.pyannote[998].end 6254.37846875
transcript.pyannote[999].speaker SPEAKER_30
transcript.pyannote[999].start 6254.37846875
transcript.pyannote[999].end 6255.66096875
transcript.pyannote[1000].speaker SPEAKER_47
transcript.pyannote[1000].start 6254.54721875
transcript.pyannote[1000].end 6257.56784375
transcript.pyannote[1001].speaker SPEAKER_30
transcript.pyannote[1001].start 6257.21346875
transcript.pyannote[1001].end 6257.33159375
transcript.pyannote[1002].speaker SPEAKER_30
transcript.pyannote[1002].start 6257.50034375
transcript.pyannote[1002].end 6257.55096875
transcript.pyannote[1003].speaker SPEAKER_30
transcript.pyannote[1003].start 6257.56784375
transcript.pyannote[1003].end 6257.65221875
transcript.pyannote[1004].speaker SPEAKER_47
transcript.pyannote[1004].start 6257.78721875
transcript.pyannote[1004].end 6259.27221875
transcript.pyannote[1005].speaker SPEAKER_30
transcript.pyannote[1005].start 6258.27659375
transcript.pyannote[1005].end 6260.52096875
transcript.pyannote[1006].speaker SPEAKER_30
transcript.pyannote[1006].start 6260.79096875
transcript.pyannote[1006].end 6262.10721875
transcript.pyannote[1007].speaker SPEAKER_47
transcript.pyannote[1007].start 6262.59659375
transcript.pyannote[1007].end 6263.32221875
transcript.pyannote[1008].speaker SPEAKER_47
transcript.pyannote[1008].start 6263.67659375
transcript.pyannote[1008].end 6270.20721875
transcript.pyannote[1009].speaker SPEAKER_47
transcript.pyannote[1009].start 6270.29159375
transcript.pyannote[1009].end 6273.34596875
transcript.pyannote[1010].speaker SPEAKER_30
transcript.pyannote[1010].start 6272.87346875
transcript.pyannote[1010].end 6289.41096875
transcript.pyannote[1011].speaker SPEAKER_18
transcript.pyannote[1011].start 6289.86659375
transcript.pyannote[1011].end 6298.18596875
transcript.pyannote[1012].speaker SPEAKER_30
transcript.pyannote[1012].start 6291.19971875
transcript.pyannote[1012].end 6292.07721875
transcript.pyannote[1013].speaker SPEAKER_12
transcript.pyannote[1013].start 6298.18596875
transcript.pyannote[1013].end 6303.72096875
transcript.pyannote[1014].speaker SPEAKER_18
transcript.pyannote[1014].start 6298.20284375
transcript.pyannote[1014].end 6299.97471875
transcript.pyannote[1015].speaker SPEAKER_12
transcript.pyannote[1015].start 6304.02471875
transcript.pyannote[1015].end 6310.28534375
transcript.pyannote[1016].speaker SPEAKER_05
transcript.pyannote[1016].start 6309.72846875
transcript.pyannote[1016].end 6310.03221875
transcript.pyannote[1017].speaker SPEAKER_05
transcript.pyannote[1017].start 6310.28534375
transcript.pyannote[1017].end 6310.30221875
transcript.pyannote[1018].speaker SPEAKER_05
transcript.pyannote[1018].start 6310.70721875
transcript.pyannote[1018].end 6310.89284375
transcript.pyannote[1019].speaker SPEAKER_12
transcript.pyannote[1019].start 6310.89284375
transcript.pyannote[1019].end 6311.02784375
transcript.pyannote[1020].speaker SPEAKER_05
transcript.pyannote[1020].start 6311.02784375
transcript.pyannote[1020].end 6313.20471875
transcript.pyannote[1021].speaker SPEAKER_47
transcript.pyannote[1021].start 6313.79534375
transcript.pyannote[1021].end 6314.95971875
transcript.pyannote[1022].speaker SPEAKER_05
transcript.pyannote[1022].start 6314.95971875
transcript.pyannote[1022].end 6315.53346875
transcript.pyannote[1023].speaker SPEAKER_47
transcript.pyannote[1023].start 6315.26346875
transcript.pyannote[1023].end 6322.80659375
transcript.pyannote[1024].speaker SPEAKER_05
transcript.pyannote[1024].start 6315.83721875
transcript.pyannote[1024].end 6316.32659375
transcript.pyannote[1025].speaker SPEAKER_18
transcript.pyannote[1025].start 6316.32659375
transcript.pyannote[1025].end 6316.36034375
transcript.pyannote[1026].speaker SPEAKER_18
transcript.pyannote[1026].start 6320.44409375
transcript.pyannote[1026].end 6320.46096875
transcript.pyannote[1027].speaker SPEAKER_05
transcript.pyannote[1027].start 6320.46096875
transcript.pyannote[1027].end 6322.48596875
transcript.pyannote[1028].speaker SPEAKER_18
transcript.pyannote[1028].start 6322.48596875
transcript.pyannote[1028].end 6322.55346875
transcript.pyannote[1029].speaker SPEAKER_18
transcript.pyannote[1029].start 6322.99221875
transcript.pyannote[1029].end 6324.00471875
transcript.pyannote[1030].speaker SPEAKER_05
transcript.pyannote[1030].start 6324.00471875
transcript.pyannote[1030].end 6324.62909375
transcript.pyannote[1031].speaker SPEAKER_05
transcript.pyannote[1031].start 6327.07596875
transcript.pyannote[1031].end 6330.18096875
transcript.pyannote[1032].speaker SPEAKER_47
transcript.pyannote[1032].start 6327.81846875
transcript.pyannote[1032].end 6331.09221875
transcript.pyannote[1033].speaker SPEAKER_05
transcript.pyannote[1033].start 6330.95721875
transcript.pyannote[1033].end 6335.20971875
transcript.pyannote[1034].speaker SPEAKER_18
transcript.pyannote[1034].start 6333.03284375
transcript.pyannote[1034].end 6333.18471875
transcript.pyannote[1035].speaker SPEAKER_18
transcript.pyannote[1035].start 6333.38721875
transcript.pyannote[1035].end 6333.48846875
transcript.pyannote[1036].speaker SPEAKER_18
transcript.pyannote[1036].start 6334.14659375
transcript.pyannote[1036].end 6343.84971875
transcript.pyannote[1037].speaker SPEAKER_05
transcript.pyannote[1037].start 6335.96909375
transcript.pyannote[1037].end 6337.21784375
transcript.pyannote[1038].speaker SPEAKER_05
transcript.pyannote[1038].start 6343.71471875
transcript.pyannote[1038].end 6348.06846875
transcript.pyannote[1039].speaker SPEAKER_18
transcript.pyannote[1039].start 6345.06471875
transcript.pyannote[1039].end 6345.16596875
transcript.pyannote[1040].speaker SPEAKER_18
transcript.pyannote[1040].start 6345.46971875
transcript.pyannote[1040].end 6346.43159375
transcript.pyannote[1041].speaker SPEAKER_18
transcript.pyannote[1041].start 6346.88721875
transcript.pyannote[1041].end 6347.42721875
transcript.pyannote[1042].speaker SPEAKER_05
transcript.pyannote[1042].start 6348.74346875
transcript.pyannote[1042].end 6349.33409375
transcript.pyannote[1043].speaker SPEAKER_05
transcript.pyannote[1043].start 6350.31284375
transcript.pyannote[1043].end 6355.59471875
transcript.pyannote[1044].speaker SPEAKER_21
transcript.pyannote[1044].start 6353.11409375
transcript.pyannote[1044].end 6353.28284375
transcript.pyannote[1045].speaker SPEAKER_21
transcript.pyannote[1045].start 6353.35034375
transcript.pyannote[1045].end 6353.38409375
transcript.pyannote[1046].speaker SPEAKER_11
transcript.pyannote[1046].start 6354.43034375
transcript.pyannote[1046].end 6355.52721875
transcript.pyannote[1047].speaker SPEAKER_21
transcript.pyannote[1047].start 6355.52721875
transcript.pyannote[1047].end 6367.39034375
transcript.pyannote[1048].speaker SPEAKER_21
transcript.pyannote[1048].start 6367.44096875
transcript.pyannote[1048].end 6390.13784375
transcript.pyannote[1049].speaker SPEAKER_47
transcript.pyannote[1049].start 6390.37409375
transcript.pyannote[1049].end 6390.99846875
transcript.pyannote[1050].speaker SPEAKER_47
transcript.pyannote[1050].start 6392.04471875
transcript.pyannote[1050].end 6395.70659375
transcript.pyannote[1051].speaker SPEAKER_47
transcript.pyannote[1051].start 6395.85846875
transcript.pyannote[1051].end 6398.33909375
transcript.pyannote[1052].speaker SPEAKER_18
transcript.pyannote[1052].start 6395.95971875
transcript.pyannote[1052].end 6397.00596875
transcript.pyannote[1053].speaker SPEAKER_18
transcript.pyannote[1053].start 6398.18721875
transcript.pyannote[1053].end 6400.24596875
transcript.pyannote[1054].speaker SPEAKER_47
transcript.pyannote[1054].start 6400.71846875
transcript.pyannote[1054].end 6412.34534375
transcript.pyannote[1055].speaker SPEAKER_18
transcript.pyannote[1055].start 6408.36284375
transcript.pyannote[1055].end 6408.39659375
transcript.pyannote[1056].speaker SPEAKER_42
transcript.pyannote[1056].start 6408.39659375
transcript.pyannote[1056].end 6408.81846875
transcript.pyannote[1057].speaker SPEAKER_47
transcript.pyannote[1057].start 6412.53096875
transcript.pyannote[1057].end 6424.39409375
transcript.pyannote[1058].speaker SPEAKER_18
transcript.pyannote[1058].start 6424.39409375
transcript.pyannote[1058].end 6424.86659375
transcript.pyannote[1059].speaker SPEAKER_18
transcript.pyannote[1059].start 6425.20409375
transcript.pyannote[1059].end 6425.71034375
transcript.pyannote[1060].speaker SPEAKER_47
transcript.pyannote[1060].start 6425.81159375
transcript.pyannote[1060].end 6428.96721875
transcript.pyannote[1061].speaker SPEAKER_18
transcript.pyannote[1061].start 6429.74346875
transcript.pyannote[1061].end 6429.76034375
transcript.pyannote[1062].speaker SPEAKER_30
transcript.pyannote[1062].start 6429.76034375
transcript.pyannote[1062].end 6433.27034375
transcript.pyannote[1063].speaker SPEAKER_18
transcript.pyannote[1063].start 6429.77721875
transcript.pyannote[1063].end 6429.96284375
transcript.pyannote[1064].speaker SPEAKER_47
transcript.pyannote[1064].start 6429.96284375
transcript.pyannote[1064].end 6430.09784375
transcript.pyannote[1065].speaker SPEAKER_18
transcript.pyannote[1065].start 6430.09784375
transcript.pyannote[1065].end 6430.35096875
transcript.pyannote[1066].speaker SPEAKER_47
transcript.pyannote[1066].start 6430.35096875
transcript.pyannote[1066].end 6430.67159375
transcript.pyannote[1067].speaker SPEAKER_18
transcript.pyannote[1067].start 6430.67159375
transcript.pyannote[1067].end 6430.78971875
transcript.pyannote[1068].speaker SPEAKER_47
transcript.pyannote[1068].start 6430.78971875
transcript.pyannote[1068].end 6430.84034375
transcript.pyannote[1069].speaker SPEAKER_47
transcript.pyannote[1069].start 6432.13971875
transcript.pyannote[1069].end 6432.67971875
transcript.pyannote[1070].speaker SPEAKER_47
transcript.pyannote[1070].start 6433.21971875
transcript.pyannote[1070].end 6433.57409375
transcript.pyannote[1071].speaker SPEAKER_30
transcript.pyannote[1071].start 6433.57409375
transcript.pyannote[1071].end 6435.63284375
transcript.pyannote[1072].speaker SPEAKER_18
transcript.pyannote[1072].start 6435.63284375
transcript.pyannote[1072].end 6435.64971875
transcript.pyannote[1073].speaker SPEAKER_18
transcript.pyannote[1073].start 6435.70034375
transcript.pyannote[1073].end 6436.67909375
transcript.pyannote[1074].speaker SPEAKER_47
transcript.pyannote[1074].start 6436.89846875
transcript.pyannote[1074].end 6440.93159375
transcript.pyannote[1075].speaker SPEAKER_18
transcript.pyannote[1075].start 6437.03346875
transcript.pyannote[1075].end 6443.86784375
transcript.pyannote[1076].speaker SPEAKER_30
transcript.pyannote[1076].start 6443.07471875
transcript.pyannote[1076].end 6443.66534375
transcript.pyannote[1077].speaker SPEAKER_18
transcript.pyannote[1077].start 6444.49221875
transcript.pyannote[1077].end 6445.18409375
transcript.pyannote[1078].speaker SPEAKER_47
transcript.pyannote[1078].start 6444.55971875
transcript.pyannote[1078].end 6447.59721875
transcript.pyannote[1079].speaker SPEAKER_47
transcript.pyannote[1079].start 6449.13284375
transcript.pyannote[1079].end 6451.63034375
transcript.pyannote[1080].speaker SPEAKER_18
transcript.pyannote[1080].start 6451.39409375
transcript.pyannote[1080].end 6452.17034375
transcript.pyannote[1081].speaker SPEAKER_18
transcript.pyannote[1081].start 6452.82846875
transcript.pyannote[1081].end 6452.99721875
transcript.pyannote[1082].speaker SPEAKER_47
transcript.pyannote[1082].start 6452.96346875
transcript.pyannote[1082].end 6457.18221875
transcript.pyannote[1083].speaker SPEAKER_47
transcript.pyannote[1083].start 6460.64159375
transcript.pyannote[1083].end 6461.80596875
transcript.pyannote[1084].speaker SPEAKER_47
transcript.pyannote[1084].start 6463.03784375
transcript.pyannote[1084].end 6477.66846875
transcript.pyannote[1085].speaker SPEAKER_42
transcript.pyannote[1085].start 6467.08784375
transcript.pyannote[1085].end 6467.13846875
transcript.pyannote[1086].speaker SPEAKER_00
transcript.pyannote[1086].start 6467.13846875
transcript.pyannote[1086].end 6468.38721875
transcript.pyannote[1087].speaker SPEAKER_00
transcript.pyannote[1087].start 6470.31096875
transcript.pyannote[1087].end 6470.46284375
transcript.pyannote[1088].speaker SPEAKER_18
transcript.pyannote[1088].start 6470.46284375
transcript.pyannote[1088].end 6470.49659375
transcript.pyannote[1089].speaker SPEAKER_46
transcript.pyannote[1089].start 6478.61346875
transcript.pyannote[1089].end 6479.25471875
transcript.pyannote[1090].speaker SPEAKER_47
transcript.pyannote[1090].start 6479.25471875
transcript.pyannote[1090].end 6486.49409375
transcript.pyannote[1091].speaker SPEAKER_47
transcript.pyannote[1091].start 6486.52784375
transcript.pyannote[1091].end 6486.69659375
transcript.pyannote[1092].speaker SPEAKER_46
transcript.pyannote[1092].start 6486.69659375
transcript.pyannote[1092].end 6486.71346875
transcript.pyannote[1093].speaker SPEAKER_47
transcript.pyannote[1093].start 6486.71346875
transcript.pyannote[1093].end 6486.73034375
transcript.pyannote[1094].speaker SPEAKER_46
transcript.pyannote[1094].start 6486.73034375
transcript.pyannote[1094].end 6486.79784375
transcript.pyannote[1095].speaker SPEAKER_47
transcript.pyannote[1095].start 6486.79784375
transcript.pyannote[1095].end 6486.96659375
transcript.pyannote[1096].speaker SPEAKER_46
transcript.pyannote[1096].start 6486.96659375
transcript.pyannote[1096].end 6487.05096875
transcript.pyannote[1097].speaker SPEAKER_47
transcript.pyannote[1097].start 6487.05096875
transcript.pyannote[1097].end 6487.08471875
transcript.pyannote[1098].speaker SPEAKER_46
transcript.pyannote[1098].start 6487.08471875
transcript.pyannote[1098].end 6510.84471875
transcript.pyannote[1099].speaker SPEAKER_18
transcript.pyannote[1099].start 6493.02471875
transcript.pyannote[1099].end 6493.19346875
transcript.pyannote[1100].speaker SPEAKER_18
transcript.pyannote[1100].start 6493.21034375
transcript.pyannote[1100].end 6493.37909375
transcript.pyannote[1101].speaker SPEAKER_42
transcript.pyannote[1101].start 6495.15096875
transcript.pyannote[1101].end 6495.16784375
transcript.pyannote[1102].speaker SPEAKER_18
transcript.pyannote[1102].start 6495.16784375
transcript.pyannote[1102].end 6495.18471875
transcript.pyannote[1103].speaker SPEAKER_47
transcript.pyannote[1103].start 6495.18471875
transcript.pyannote[1103].end 6495.53909375
transcript.pyannote[1104].speaker SPEAKER_18
transcript.pyannote[1104].start 6495.53909375
transcript.pyannote[1104].end 6495.57284375
transcript.pyannote[1105].speaker SPEAKER_47
transcript.pyannote[1105].start 6495.57284375
transcript.pyannote[1105].end 6495.60659375
transcript.pyannote[1106].speaker SPEAKER_18
transcript.pyannote[1106].start 6509.64659375
transcript.pyannote[1106].end 6512.07659375
transcript.pyannote[1107].speaker SPEAKER_46
transcript.pyannote[1107].start 6512.83596875
transcript.pyannote[1107].end 6515.33346875
transcript.pyannote[1108].speaker SPEAKER_18
transcript.pyannote[1108].start 6513.39284375
transcript.pyannote[1108].end 6513.61221875
transcript.pyannote[1109].speaker SPEAKER_18
transcript.pyannote[1109].start 6515.33346875
transcript.pyannote[1109].end 6516.49784375
transcript.pyannote[1110].speaker SPEAKER_46
transcript.pyannote[1110].start 6516.48096875
transcript.pyannote[1110].end 6527.92221875
transcript.pyannote[1111].speaker SPEAKER_46
transcript.pyannote[1111].start 6528.85034375
transcript.pyannote[1111].end 6551.93534375
transcript.pyannote[1112].speaker SPEAKER_42
transcript.pyannote[1112].start 6542.60346875
transcript.pyannote[1112].end 6542.89034375
transcript.pyannote[1113].speaker SPEAKER_18
transcript.pyannote[1113].start 6549.04971875
transcript.pyannote[1113].end 6550.46721875
transcript.pyannote[1114].speaker SPEAKER_18
transcript.pyannote[1114].start 6551.93534375
transcript.pyannote[1114].end 6552.76221875
transcript.pyannote[1115].speaker SPEAKER_18
transcript.pyannote[1115].start 6553.15034375
transcript.pyannote[1115].end 6554.41596875
transcript.pyannote[1116].speaker SPEAKER_27
transcript.pyannote[1116].start 6554.41596875
transcript.pyannote[1116].end 6554.43284375
transcript.pyannote[1117].speaker SPEAKER_18
transcript.pyannote[1117].start 6554.43284375
transcript.pyannote[1117].end 6554.44971875
transcript.pyannote[1118].speaker SPEAKER_27
transcript.pyannote[1118].start 6554.44971875
transcript.pyannote[1118].end 6554.50034375
transcript.pyannote[1119].speaker SPEAKER_47
transcript.pyannote[1119].start 6554.50034375
transcript.pyannote[1119].end 6556.47471875
transcript.pyannote[1120].speaker SPEAKER_46
transcript.pyannote[1120].start 6554.51721875
transcript.pyannote[1120].end 6554.55096875
transcript.pyannote[1121].speaker SPEAKER_27
transcript.pyannote[1121].start 6556.00221875
transcript.pyannote[1121].end 6556.81221875
transcript.pyannote[1122].speaker SPEAKER_27
transcript.pyannote[1122].start 6557.28471875
transcript.pyannote[1122].end 6565.67159375
transcript.pyannote[1123].speaker SPEAKER_27
transcript.pyannote[1123].start 6565.73909375
transcript.pyannote[1123].end 6567.17346875
transcript.pyannote[1124].speaker SPEAKER_27
transcript.pyannote[1124].start 6567.44346875
transcript.pyannote[1124].end 6569.87346875
transcript.pyannote[1125].speaker SPEAKER_27
transcript.pyannote[1125].start 6569.90721875
transcript.pyannote[1125].end 6586.56284375
transcript.pyannote[1126].speaker SPEAKER_27
transcript.pyannote[1126].start 6587.03534375
transcript.pyannote[1126].end 6594.20721875
transcript.pyannote[1127].speaker SPEAKER_27
transcript.pyannote[1127].start 6594.61221875
transcript.pyannote[1127].end 6603.62346875
transcript.pyannote[1128].speaker SPEAKER_42
transcript.pyannote[1128].start 6603.55596875
transcript.pyannote[1128].end 6603.89346875
transcript.pyannote[1129].speaker SPEAKER_27
transcript.pyannote[1129].start 6604.23096875
transcript.pyannote[1129].end 6610.84596875
transcript.pyannote[1130].speaker SPEAKER_27
transcript.pyannote[1130].start 6611.14971875
transcript.pyannote[1130].end 6613.09034375
transcript.pyannote[1131].speaker SPEAKER_27
transcript.pyannote[1131].start 6613.98471875
transcript.pyannote[1131].end 6619.21596875
transcript.pyannote[1132].speaker SPEAKER_27
transcript.pyannote[1132].start 6619.68846875
transcript.pyannote[1132].end 6620.29596875
transcript.pyannote[1133].speaker SPEAKER_27
transcript.pyannote[1133].start 6620.48159375
transcript.pyannote[1133].end 6648.91596875
transcript.pyannote[1134].speaker SPEAKER_27
transcript.pyannote[1134].start 6649.21971875
transcript.pyannote[1134].end 6652.12221875
transcript.pyannote[1135].speaker SPEAKER_27
transcript.pyannote[1135].start 6652.47659375
transcript.pyannote[1135].end 6679.18971875
transcript.pyannote[1136].speaker SPEAKER_47
transcript.pyannote[1136].start 6679.59471875
transcript.pyannote[1136].end 6682.96971875
transcript.pyannote[1137].speaker SPEAKER_23
transcript.pyannote[1137].start 6682.96971875
transcript.pyannote[1137].end 6700.50284375
transcript.pyannote[1138].speaker SPEAKER_42
transcript.pyannote[1138].start 6689.73659375
transcript.pyannote[1138].end 6689.77034375
transcript.pyannote[1139].speaker SPEAKER_23
transcript.pyannote[1139].start 6701.43096875
transcript.pyannote[1139].end 6702.67971875
transcript.pyannote[1140].speaker SPEAKER_23
transcript.pyannote[1140].start 6703.33784375
transcript.pyannote[1140].end 6736.61534375
transcript.pyannote[1141].speaker SPEAKER_23
transcript.pyannote[1141].start 6736.93596875
transcript.pyannote[1141].end 6738.84284375
transcript.pyannote[1142].speaker SPEAKER_23
transcript.pyannote[1142].start 6738.96096875
transcript.pyannote[1142].end 6820.53471875
transcript.pyannote[1143].speaker SPEAKER_23
transcript.pyannote[1143].start 6820.56846875
transcript.pyannote[1143].end 6854.31846875
transcript.pyannote[1144].speaker SPEAKER_47
transcript.pyannote[1144].start 6854.65596875
transcript.pyannote[1144].end 6858.19971875
transcript.pyannote[1145].speaker SPEAKER_05
transcript.pyannote[1145].start 6860.19096875
transcript.pyannote[1145].end 6861.20346875
transcript.pyannote[1146].speaker SPEAKER_05
transcript.pyannote[1146].start 6862.58721875
transcript.pyannote[1146].end 6863.70096875
transcript.pyannote[1147].speaker SPEAKER_05
transcript.pyannote[1147].start 6865.05096875
transcript.pyannote[1147].end 6871.19346875
transcript.pyannote[1148].speaker SPEAKER_05
transcript.pyannote[1148].start 6872.02034375
transcript.pyannote[1148].end 6875.66534375
transcript.pyannote[1149].speaker SPEAKER_05
transcript.pyannote[1149].start 6876.93096875
transcript.pyannote[1149].end 6882.28034375
transcript.pyannote[1150].speaker SPEAKER_05
transcript.pyannote[1150].start 6883.59659375
transcript.pyannote[1150].end 6884.60909375
transcript.pyannote[1151].speaker SPEAKER_05
transcript.pyannote[1151].start 6885.67221875
transcript.pyannote[1151].end 6888.69284375
transcript.pyannote[1152].speaker SPEAKER_05
transcript.pyannote[1152].start 6889.23284375
transcript.pyannote[1152].end 6890.61659375
transcript.pyannote[1153].speaker SPEAKER_05
transcript.pyannote[1153].start 6891.10596875
transcript.pyannote[1153].end 6891.83159375
transcript.pyannote[1154].speaker SPEAKER_05
transcript.pyannote[1154].start 6892.08471875
transcript.pyannote[1154].end 6893.29971875
transcript.pyannote[1155].speaker SPEAKER_05
transcript.pyannote[1155].start 6893.55284375
transcript.pyannote[1155].end 6894.63284375
transcript.pyannote[1156].speaker SPEAKER_05
transcript.pyannote[1156].start 6895.29096875
transcript.pyannote[1156].end 6896.32034375
transcript.pyannote[1157].speaker SPEAKER_05
transcript.pyannote[1157].start 6896.43846875
transcript.pyannote[1157].end 6909.80346875
transcript.pyannote[1158].speaker SPEAKER_05
transcript.pyannote[1158].start 6910.49534375
transcript.pyannote[1158].end 6913.98846875
transcript.pyannote[1159].speaker SPEAKER_05
transcript.pyannote[1159].start 6915.18659375
transcript.pyannote[1159].end 6917.81909375
transcript.pyannote[1160].speaker SPEAKER_05
transcript.pyannote[1160].start 6918.35909375
transcript.pyannote[1160].end 6920.75534375
transcript.pyannote[1161].speaker SPEAKER_05
transcript.pyannote[1161].start 6921.44721875
transcript.pyannote[1161].end 6927.03284375
transcript.pyannote[1162].speaker SPEAKER_05
transcript.pyannote[1162].start 6927.57284375
transcript.pyannote[1162].end 6927.91034375
transcript.pyannote[1163].speaker SPEAKER_05
transcript.pyannote[1163].start 6928.72034375
transcript.pyannote[1163].end 6933.42846875
transcript.pyannote[1164].speaker SPEAKER_05
transcript.pyannote[1164].start 6933.96846875
transcript.pyannote[1164].end 6934.44096875
transcript.pyannote[1165].speaker SPEAKER_05
transcript.pyannote[1165].start 6935.13284375
transcript.pyannote[1165].end 6937.41096875
transcript.pyannote[1166].speaker SPEAKER_05
transcript.pyannote[1166].start 6937.79909375
transcript.pyannote[1166].end 6954.77534375
transcript.pyannote[1167].speaker SPEAKER_05
transcript.pyannote[1167].start 6954.96096875
transcript.pyannote[1167].end 6962.43659375
transcript.pyannote[1168].speaker SPEAKER_00
transcript.pyannote[1168].start 6958.70721875
transcript.pyannote[1168].end 6958.72409375
transcript.pyannote[1169].speaker SPEAKER_47
transcript.pyannote[1169].start 6958.72409375
transcript.pyannote[1169].end 6959.01096875
transcript.pyannote[1170].speaker SPEAKER_05
transcript.pyannote[1170].start 6962.72346875
transcript.pyannote[1170].end 6965.71034375
transcript.pyannote[1171].speaker SPEAKER_47
transcript.pyannote[1171].start 6966.13221875
transcript.pyannote[1171].end 6967.51596875
transcript.pyannote[1172].speaker SPEAKER_17
transcript.pyannote[1172].start 6967.51596875
transcript.pyannote[1172].end 6981.52221875
transcript.pyannote[1173].speaker SPEAKER_17
transcript.pyannote[1173].start 6981.85971875
transcript.pyannote[1173].end 6982.99034375
transcript.pyannote[1174].speaker SPEAKER_13
transcript.pyannote[1174].start 6982.99034375
transcript.pyannote[1174].end 6984.00284375
transcript.pyannote[1175].speaker SPEAKER_17
transcript.pyannote[1175].start 6984.12096875
transcript.pyannote[1175].end 6986.71971875
transcript.pyannote[1176].speaker SPEAKER_17
transcript.pyannote[1176].start 6986.95596875
transcript.pyannote[1176].end 6989.04846875
transcript.pyannote[1177].speaker SPEAKER_13
transcript.pyannote[1177].start 6989.04846875
transcript.pyannote[1177].end 6989.06534375
transcript.pyannote[1178].speaker SPEAKER_13
transcript.pyannote[1178].start 6989.11596875
transcript.pyannote[1178].end 6989.20034375
transcript.pyannote[1179].speaker SPEAKER_17
transcript.pyannote[1179].start 6989.20034375
transcript.pyannote[1179].end 7002.54846875
transcript.pyannote[1180].speaker SPEAKER_13
transcript.pyannote[1180].start 6990.70221875
transcript.pyannote[1180].end 6991.07346875
transcript.pyannote[1181].speaker SPEAKER_17
transcript.pyannote[1181].start 7002.91971875
transcript.pyannote[1181].end 7006.63221875
transcript.pyannote[1182].speaker SPEAKER_17
transcript.pyannote[1182].start 7007.40846875
transcript.pyannote[1182].end 7018.29284375
transcript.pyannote[1183].speaker SPEAKER_05
transcript.pyannote[1183].start 7018.02284375
transcript.pyannote[1183].end 7018.05659375
transcript.pyannote[1184].speaker SPEAKER_20
transcript.pyannote[1184].start 7018.05659375
transcript.pyannote[1184].end 7018.12409375
transcript.pyannote[1185].speaker SPEAKER_05
transcript.pyannote[1185].start 7018.12409375
transcript.pyannote[1185].end 7018.15784375
transcript.pyannote[1186].speaker SPEAKER_20
transcript.pyannote[1186].start 7018.29284375
transcript.pyannote[1186].end 7018.30971875
transcript.pyannote[1187].speaker SPEAKER_20
transcript.pyannote[1187].start 7019.42346875
transcript.pyannote[1187].end 7019.79471875
transcript.pyannote[1188].speaker SPEAKER_17
transcript.pyannote[1188].start 7020.30096875
transcript.pyannote[1188].end 7022.10659375
transcript.pyannote[1189].speaker SPEAKER_17
transcript.pyannote[1189].start 7022.57909375
transcript.pyannote[1189].end 7024.70534375
transcript.pyannote[1190].speaker SPEAKER_05
transcript.pyannote[1190].start 7023.01784375
transcript.pyannote[1190].end 7024.62096875
transcript.pyannote[1191].speaker SPEAKER_05
transcript.pyannote[1191].start 7025.46471875
transcript.pyannote[1191].end 7028.89034375
transcript.pyannote[1192].speaker SPEAKER_17
transcript.pyannote[1192].start 7028.55284375
transcript.pyannote[1192].end 7032.83909375
transcript.pyannote[1193].speaker SPEAKER_05
transcript.pyannote[1193].start 7031.50596875
transcript.pyannote[1193].end 7036.43346875
transcript.pyannote[1194].speaker SPEAKER_17
transcript.pyannote[1194].start 7034.47596875
transcript.pyannote[1194].end 7041.39471875
transcript.pyannote[1195].speaker SPEAKER_05
transcript.pyannote[1195].start 7040.63534375
transcript.pyannote[1195].end 7043.08221875
transcript.pyannote[1196].speaker SPEAKER_17
transcript.pyannote[1196].start 7043.11596875
transcript.pyannote[1196].end 7043.80784375
transcript.pyannote[1197].speaker SPEAKER_05
transcript.pyannote[1197].start 7045.02284375
transcript.pyannote[1197].end 7045.96784375
transcript.pyannote[1198].speaker SPEAKER_17
transcript.pyannote[1198].start 7047.53721875
transcript.pyannote[1198].end 7051.58721875
transcript.pyannote[1199].speaker SPEAKER_05
transcript.pyannote[1199].start 7047.60471875
transcript.pyannote[1199].end 7048.70159375
transcript.pyannote[1200].speaker SPEAKER_20
transcript.pyannote[1200].start 7048.70159375
transcript.pyannote[1200].end 7051.30034375
transcript.pyannote[1201].speaker SPEAKER_05
transcript.pyannote[1201].start 7051.30034375
transcript.pyannote[1201].end 7052.97096875
transcript.pyannote[1202].speaker SPEAKER_20
transcript.pyannote[1202].start 7051.58721875
transcript.pyannote[1202].end 7054.38846875
transcript.pyannote[1203].speaker SPEAKER_05
transcript.pyannote[1203].start 7053.88221875
transcript.pyannote[1203].end 7055.02971875
transcript.pyannote[1204].speaker SPEAKER_05
transcript.pyannote[1204].start 7055.24909375
transcript.pyannote[1204].end 7062.82596875
transcript.pyannote[1205].speaker SPEAKER_42
transcript.pyannote[1205].start 7058.13471875
transcript.pyannote[1205].end 7058.23596875
transcript.pyannote[1206].speaker SPEAKER_17
transcript.pyannote[1206].start 7058.23596875
transcript.pyannote[1206].end 7058.42159375
transcript.pyannote[1207].speaker SPEAKER_42
transcript.pyannote[1207].start 7058.42159375
transcript.pyannote[1207].end 7058.47221875
transcript.pyannote[1208].speaker SPEAKER_17
transcript.pyannote[1208].start 7060.05846875
transcript.pyannote[1208].end 7061.52659375
transcript.pyannote[1209].speaker SPEAKER_17
transcript.pyannote[1209].start 7062.23534375
transcript.pyannote[1209].end 7063.16346875
transcript.pyannote[1210].speaker SPEAKER_05
transcript.pyannote[1210].start 7064.00721875
transcript.pyannote[1210].end 7064.44596875
transcript.pyannote[1211].speaker SPEAKER_05
transcript.pyannote[1211].start 7066.23471875
transcript.pyannote[1211].end 7069.27221875
transcript.pyannote[1212].speaker SPEAKER_05
transcript.pyannote[1212].start 7070.43659375
transcript.pyannote[1212].end 7071.92159375
transcript.pyannote[1213].speaker SPEAKER_05
transcript.pyannote[1213].start 7073.87909375
transcript.pyannote[1213].end 7076.27534375
transcript.pyannote[1214].speaker SPEAKER_05
transcript.pyannote[1214].start 7077.32159375
transcript.pyannote[1214].end 7078.70534375
transcript.pyannote[1215].speaker SPEAKER_05
transcript.pyannote[1215].start 7078.87409375
transcript.pyannote[1215].end 7080.34221875
transcript.pyannote[1216].speaker SPEAKER_05
transcript.pyannote[1216].start 7082.62034375
transcript.pyannote[1216].end 7085.23596875
transcript.pyannote[1217].speaker SPEAKER_42
transcript.pyannote[1217].start 7084.84784375
transcript.pyannote[1217].end 7084.91534375
transcript.pyannote[1218].speaker SPEAKER_19
transcript.pyannote[1218].start 7084.93221875
transcript.pyannote[1218].end 7086.48471875
transcript.pyannote[1219].speaker SPEAKER_01
transcript.pyannote[1219].start 7086.48471875
transcript.pyannote[1219].end 7086.99096875
transcript.pyannote[1220].speaker SPEAKER_19
transcript.pyannote[1220].start 7086.99096875
transcript.pyannote[1220].end 7087.00784375
transcript.pyannote[1221].speaker SPEAKER_01
transcript.pyannote[1221].start 7087.00784375
transcript.pyannote[1221].end 7087.02471875
transcript.pyannote[1222].speaker SPEAKER_19
transcript.pyannote[1222].start 7087.02471875
transcript.pyannote[1222].end 7087.04159375
transcript.pyannote[1223].speaker SPEAKER_01
transcript.pyannote[1223].start 7087.04159375
transcript.pyannote[1223].end 7087.21034375
transcript.pyannote[1224].speaker SPEAKER_19
transcript.pyannote[1224].start 7087.21034375
transcript.pyannote[1224].end 7087.37909375
transcript.pyannote[1225].speaker SPEAKER_17
transcript.pyannote[1225].start 7087.91909375
transcript.pyannote[1225].end 7093.33596875
transcript.pyannote[1226].speaker SPEAKER_01
transcript.pyannote[1226].start 7091.64846875
transcript.pyannote[1226].end 7091.83409375
transcript.pyannote[1227].speaker SPEAKER_42
transcript.pyannote[1227].start 7093.33596875
transcript.pyannote[1227].end 7093.43721875
transcript.pyannote[1228].speaker SPEAKER_17
transcript.pyannote[1228].start 7093.43721875
transcript.pyannote[1228].end 7093.53846875
transcript.pyannote[1229].speaker SPEAKER_01
transcript.pyannote[1229].start 7093.70721875
transcript.pyannote[1229].end 7093.75784375
transcript.pyannote[1230].speaker SPEAKER_42
transcript.pyannote[1230].start 7093.75784375
transcript.pyannote[1230].end 7095.63096875
transcript.pyannote[1231].speaker SPEAKER_20
transcript.pyannote[1231].start 7095.63096875
transcript.pyannote[1231].end 7095.76596875
transcript.pyannote[1232].speaker SPEAKER_42
transcript.pyannote[1232].start 7095.76596875
transcript.pyannote[1232].end 7095.91784375
transcript.pyannote[1233].speaker SPEAKER_20
transcript.pyannote[1233].start 7095.91784375
transcript.pyannote[1233].end 7095.96846875
transcript.pyannote[1234].speaker SPEAKER_42
transcript.pyannote[1234].start 7095.96846875
transcript.pyannote[1234].end 7096.47471875
transcript.pyannote[1235].speaker SPEAKER_20
transcript.pyannote[1235].start 7096.47471875
transcript.pyannote[1235].end 7096.50846875
transcript.pyannote[1236].speaker SPEAKER_42
transcript.pyannote[1236].start 7096.50846875
transcript.pyannote[1236].end 7096.52534375
transcript.pyannote[1237].speaker SPEAKER_05
transcript.pyannote[1237].start 7096.52534375
transcript.pyannote[1237].end 7101.19971875
transcript.pyannote[1238].speaker SPEAKER_05
transcript.pyannote[1238].start 7101.58784375
transcript.pyannote[1238].end 7103.02221875
transcript.pyannote[1239].speaker SPEAKER_05
transcript.pyannote[1239].start 7103.52846875
transcript.pyannote[1239].end 7108.43909375
transcript.pyannote[1240].speaker SPEAKER_17
transcript.pyannote[1240].start 7108.43909375
transcript.pyannote[1240].end 7108.48971875
transcript.pyannote[1241].speaker SPEAKER_05
transcript.pyannote[1241].start 7108.48971875
transcript.pyannote[1241].end 7111.27409375
transcript.pyannote[1242].speaker SPEAKER_22
transcript.pyannote[1242].start 7109.97471875
transcript.pyannote[1242].end 7152.92159375
transcript.pyannote[1243].speaker SPEAKER_17
transcript.pyannote[1243].start 7111.27409375
transcript.pyannote[1243].end 7111.30784375
transcript.pyannote[1244].speaker SPEAKER_05
transcript.pyannote[1244].start 7152.68534375
transcript.pyannote[1244].end 7154.81159375
transcript.pyannote[1245].speaker SPEAKER_05
transcript.pyannote[1245].start 7154.99721875
transcript.pyannote[1245].end 7157.81534375
transcript.pyannote[1246].speaker SPEAKER_22
transcript.pyannote[1246].start 7155.03096875
transcript.pyannote[1246].end 7156.85346875
transcript.pyannote[1247].speaker SPEAKER_05
transcript.pyannote[1247].start 7158.20346875
transcript.pyannote[1247].end 7159.82346875
transcript.pyannote[1248].speaker SPEAKER_05
transcript.pyannote[1248].start 7160.14409375
transcript.pyannote[1248].end 7165.96596875
transcript.pyannote[1249].speaker SPEAKER_22
transcript.pyannote[1249].start 7164.19409375
transcript.pyannote[1249].end 7165.17284375
transcript.pyannote[1250].speaker SPEAKER_22
transcript.pyannote[1250].start 7165.96596875
transcript.pyannote[1250].end 7166.33721875
transcript.pyannote[1251].speaker SPEAKER_05
transcript.pyannote[1251].start 7166.33721875
transcript.pyannote[1251].end 7168.14284375
transcript.pyannote[1252].speaker SPEAKER_22
transcript.pyannote[1252].start 7166.60721875
transcript.pyannote[1252].end 7172.22659375
transcript.pyannote[1253].speaker SPEAKER_05
transcript.pyannote[1253].start 7168.24409375
transcript.pyannote[1253].end 7168.27784375
transcript.pyannote[1254].speaker SPEAKER_05
transcript.pyannote[1254].start 7171.48409375
transcript.pyannote[1254].end 7173.62721875
transcript.pyannote[1255].speaker SPEAKER_22
transcript.pyannote[1255].start 7173.47534375
transcript.pyannote[1255].end 7176.34409375
transcript.pyannote[1256].speaker SPEAKER_05
transcript.pyannote[1256].start 7173.82971875
transcript.pyannote[1256].end 7177.35659375
transcript.pyannote[1257].speaker SPEAKER_22
transcript.pyannote[1257].start 7177.35659375
transcript.pyannote[1257].end 7177.94721875
transcript.pyannote[1258].speaker SPEAKER_05
transcript.pyannote[1258].start 7177.94721875
transcript.pyannote[1258].end 7180.03971875
transcript.pyannote[1259].speaker SPEAKER_22
transcript.pyannote[1259].start 7180.03971875
transcript.pyannote[1259].end 7181.17034375
transcript.pyannote[1260].speaker SPEAKER_05
transcript.pyannote[1260].start 7180.14096875
transcript.pyannote[1260].end 7180.66409375
transcript.pyannote[1261].speaker SPEAKER_22
transcript.pyannote[1261].start 7181.99721875
transcript.pyannote[1261].end 7189.21971875
transcript.pyannote[1262].speaker SPEAKER_05
transcript.pyannote[1262].start 7188.44346875
transcript.pyannote[1262].end 7197.91034375
transcript.pyannote[1263].speaker SPEAKER_22
transcript.pyannote[1263].start 7192.99971875
transcript.pyannote[1263].end 7194.14721875
transcript.pyannote[1264].speaker SPEAKER_22
transcript.pyannote[1264].start 7194.58596875
transcript.pyannote[1264].end 7203.81659375
transcript.pyannote[1265].speaker SPEAKER_05
transcript.pyannote[1265].start 7198.63596875
transcript.pyannote[1265].end 7199.95221875
transcript.pyannote[1266].speaker SPEAKER_05
transcript.pyannote[1266].start 7203.81659375
transcript.pyannote[1266].end 7207.59659375
transcript.pyannote[1267].speaker SPEAKER_05
transcript.pyannote[1267].start 7208.18721875
transcript.pyannote[1267].end 7208.76096875
transcript.pyannote[1268].speaker SPEAKER_42
transcript.pyannote[1268].start 7208.76096875
transcript.pyannote[1268].end 7208.98034375
transcript.pyannote[1269].speaker SPEAKER_05
transcript.pyannote[1269].start 7208.96346875
transcript.pyannote[1269].end 7211.98409375
transcript.pyannote[1270].speaker SPEAKER_22
transcript.pyannote[1270].start 7208.98034375
transcript.pyannote[1270].end 7212.59159375
transcript.pyannote[1271].speaker SPEAKER_05
transcript.pyannote[1271].start 7212.92909375
transcript.pyannote[1271].end 7212.97971875
transcript.pyannote[1272].speaker SPEAKER_22
transcript.pyannote[1272].start 7212.97971875
transcript.pyannote[1272].end 7214.22846875
transcript.pyannote[1273].speaker SPEAKER_05
transcript.pyannote[1273].start 7213.45221875
transcript.pyannote[1273].end 7213.46909375
transcript.pyannote[1274].speaker SPEAKER_22
transcript.pyannote[1274].start 7215.83159375
transcript.pyannote[1274].end 7217.26596875
transcript.pyannote[1275].speaker SPEAKER_05
transcript.pyannote[1275].start 7216.18596875
transcript.pyannote[1275].end 7216.69221875
transcript.pyannote[1276].speaker SPEAKER_22
transcript.pyannote[1276].start 7217.80596875
transcript.pyannote[1276].end 7222.61534375
transcript.pyannote[1277].speaker SPEAKER_05
transcript.pyannote[1277].start 7221.67034375
transcript.pyannote[1277].end 7224.87659375
transcript.pyannote[1278].speaker SPEAKER_47
transcript.pyannote[1278].start 7225.01159375
transcript.pyannote[1278].end 7226.68221875
transcript.pyannote[1279].speaker SPEAKER_05
transcript.pyannote[1279].start 7226.02409375
transcript.pyannote[1279].end 7227.03659375
transcript.pyannote[1280].speaker SPEAKER_21
transcript.pyannote[1280].start 7227.03659375
transcript.pyannote[1280].end 7229.43284375
transcript.pyannote[1281].speaker SPEAKER_05
transcript.pyannote[1281].start 7227.55971875
transcript.pyannote[1281].end 7227.61034375
transcript.pyannote[1282].speaker SPEAKER_47
transcript.pyannote[1282].start 7227.61034375
transcript.pyannote[1282].end 7228.77471875
transcript.pyannote[1283].speaker SPEAKER_05
transcript.pyannote[1283].start 7228.77471875
transcript.pyannote[1283].end 7228.90971875
transcript.pyannote[1284].speaker SPEAKER_47
transcript.pyannote[1284].start 7228.90971875
transcript.pyannote[1284].end 7228.92659375
transcript.pyannote[1285].speaker SPEAKER_05
transcript.pyannote[1285].start 7228.92659375
transcript.pyannote[1285].end 7228.94346875
transcript.pyannote[1286].speaker SPEAKER_47
transcript.pyannote[1286].start 7228.94346875
transcript.pyannote[1286].end 7228.96034375
transcript.pyannote[1287].speaker SPEAKER_05
transcript.pyannote[1287].start 7228.96034375
transcript.pyannote[1287].end 7229.07846875
transcript.pyannote[1288].speaker SPEAKER_21
transcript.pyannote[1288].start 7231.12034375
transcript.pyannote[1288].end 7235.40659375
transcript.pyannote[1289].speaker SPEAKER_21
transcript.pyannote[1289].start 7235.52471875
transcript.pyannote[1289].end 7246.05471875
transcript.pyannote[1290].speaker SPEAKER_21
transcript.pyannote[1290].start 7246.51034375
transcript.pyannote[1290].end 7256.73659375
transcript.pyannote[1291].speaker SPEAKER_47
transcript.pyannote[1291].start 7257.39471875
transcript.pyannote[1291].end 7259.94284375
transcript.pyannote[1292].speaker SPEAKER_27
transcript.pyannote[1292].start 7259.94284375
transcript.pyannote[1292].end 7260.46596875
transcript.pyannote[1293].speaker SPEAKER_21
transcript.pyannote[1293].start 7260.46596875
transcript.pyannote[1293].end 7260.51659375
transcript.pyannote[1294].speaker SPEAKER_27
transcript.pyannote[1294].start 7261.10721875
transcript.pyannote[1294].end 7264.17846875
transcript.pyannote[1295].speaker SPEAKER_27
transcript.pyannote[1295].start 7264.68471875
transcript.pyannote[1295].end 7275.58596875
transcript.pyannote[1296].speaker SPEAKER_27
transcript.pyannote[1296].start 7276.12596875
transcript.pyannote[1296].end 7310.06159375
transcript.pyannote[1297].speaker SPEAKER_27
transcript.pyannote[1297].start 7310.56784375
transcript.pyannote[1297].end 7313.04846875
transcript.pyannote[1298].speaker SPEAKER_27
transcript.pyannote[1298].start 7313.38596875
transcript.pyannote[1298].end 7335.15471875
transcript.pyannote[1299].speaker SPEAKER_27
transcript.pyannote[1299].start 7335.37409375
transcript.pyannote[1299].end 7351.47284375
transcript.pyannote[1300].speaker SPEAKER_27
transcript.pyannote[1300].start 7351.74284375
transcript.pyannote[1300].end 7359.64034375
transcript.pyannote[1301].speaker SPEAKER_27
transcript.pyannote[1301].start 7359.84284375
transcript.pyannote[1301].end 7364.46659375
transcript.pyannote[1302].speaker SPEAKER_47
transcript.pyannote[1302].start 7365.32721875
transcript.pyannote[1302].end 7367.09909375
transcript.pyannote[1303].speaker SPEAKER_27
transcript.pyannote[1303].start 7368.09471875
transcript.pyannote[1303].end 7368.11159375
transcript.pyannote[1304].speaker SPEAKER_15
transcript.pyannote[1304].start 7368.11159375
transcript.pyannote[1304].end 7369.20846875
transcript.pyannote[1305].speaker SPEAKER_15
transcript.pyannote[1305].start 7369.52909375
transcript.pyannote[1305].end 7373.15721875
transcript.pyannote[1306].speaker SPEAKER_15
transcript.pyannote[1306].start 7373.27534375
transcript.pyannote[1306].end 7394.11596875
transcript.pyannote[1307].speaker SPEAKER_15
transcript.pyannote[1307].start 7394.62221875
transcript.pyannote[1307].end 7406.72159375
transcript.pyannote[1308].speaker SPEAKER_15
transcript.pyannote[1308].start 7407.53159375
transcript.pyannote[1308].end 7408.03784375
transcript.pyannote[1309].speaker SPEAKER_15
transcript.pyannote[1309].start 7408.44284375
transcript.pyannote[1309].end 7419.10784375
transcript.pyannote[1310].speaker SPEAKER_15
transcript.pyannote[1310].start 7419.66471875
transcript.pyannote[1310].end 7421.03159375
transcript.pyannote[1311].speaker SPEAKER_15
transcript.pyannote[1311].start 7421.35221875
transcript.pyannote[1311].end 7435.64534375
transcript.pyannote[1312].speaker SPEAKER_15
transcript.pyannote[1312].start 7435.96596875
transcript.pyannote[1312].end 7447.94721875
transcript.pyannote[1313].speaker SPEAKER_15
transcript.pyannote[1313].start 7448.04846875
transcript.pyannote[1313].end 7449.26346875
transcript.pyannote[1314].speaker SPEAKER_15
transcript.pyannote[1314].start 7449.68534375
transcript.pyannote[1314].end 7451.44034375
transcript.pyannote[1315].speaker SPEAKER_15
transcript.pyannote[1315].start 7451.69346875
transcript.pyannote[1315].end 7452.72284375
transcript.pyannote[1316].speaker SPEAKER_15
transcript.pyannote[1316].start 7453.09409375
transcript.pyannote[1316].end 7453.66784375
transcript.pyannote[1317].speaker SPEAKER_15
transcript.pyannote[1317].start 7454.12346875
transcript.pyannote[1317].end 7455.54096875
transcript.pyannote[1318].speaker SPEAKER_15
transcript.pyannote[1318].start 7455.74346875
transcript.pyannote[1318].end 7461.71721875
transcript.pyannote[1319].speaker SPEAKER_15
transcript.pyannote[1319].start 7461.91971875
transcript.pyannote[1319].end 7472.23034375
transcript.pyannote[1320].speaker SPEAKER_15
transcript.pyannote[1320].start 7472.60159375
transcript.pyannote[1320].end 7529.63909375
transcript.pyannote[1321].speaker SPEAKER_47
transcript.pyannote[1321].start 7530.16221875
transcript.pyannote[1321].end 7533.55409375
transcript.pyannote[1322].speaker SPEAKER_09
transcript.pyannote[1322].start 7530.78659375
transcript.pyannote[1322].end 7530.85409375
transcript.pyannote[1323].speaker SPEAKER_15
transcript.pyannote[1323].start 7530.85409375
transcript.pyannote[1323].end 7530.97221875
transcript.pyannote[1324].speaker SPEAKER_09
transcript.pyannote[1324].start 7530.97221875
transcript.pyannote[1324].end 7531.96784375
transcript.pyannote[1325].speaker SPEAKER_15
transcript.pyannote[1325].start 7532.62596875
transcript.pyannote[1325].end 7532.65971875
transcript.pyannote[1326].speaker SPEAKER_09
transcript.pyannote[1326].start 7532.65971875
transcript.pyannote[1326].end 7533.25034375
transcript.pyannote[1327].speaker SPEAKER_47
transcript.pyannote[1327].start 7534.41471875
transcript.pyannote[1327].end 7536.01784375
transcript.pyannote[1328].speaker SPEAKER_09
transcript.pyannote[1328].start 7534.44846875
transcript.pyannote[1328].end 7543.88159375
transcript.pyannote[1329].speaker SPEAKER_09
transcript.pyannote[1329].start 7544.42159375
transcript.pyannote[1329].end 7548.03284375
transcript.pyannote[1330].speaker SPEAKER_09
transcript.pyannote[1330].start 7548.35346875
transcript.pyannote[1330].end 7566.35909375
transcript.pyannote[1331].speaker SPEAKER_09
transcript.pyannote[1331].start 7566.54471875
transcript.pyannote[1331].end 7622.21534375
transcript.pyannote[1332].speaker SPEAKER_42
transcript.pyannote[1332].start 7622.50221875
transcript.pyannote[1332].end 7623.00846875
transcript.pyannote[1333].speaker SPEAKER_09
transcript.pyannote[1333].start 7622.94096875
transcript.pyannote[1333].end 7630.16346875
transcript.pyannote[1334].speaker SPEAKER_09
transcript.pyannote[1334].start 7630.39971875
transcript.pyannote[1334].end 7638.68534375
transcript.pyannote[1335].speaker SPEAKER_09
transcript.pyannote[1335].start 7639.17471875
transcript.pyannote[1335].end 7642.70159375
transcript.pyannote[1336].speaker SPEAKER_09
transcript.pyannote[1336].start 7643.05596875
transcript.pyannote[1336].end 7655.69534375
transcript.pyannote[1337].speaker SPEAKER_42
transcript.pyannote[1337].start 7655.86409375
transcript.pyannote[1337].end 7656.04971875
transcript.pyannote[1338].speaker SPEAKER_09
transcript.pyannote[1338].start 7656.04971875
transcript.pyannote[1338].end 7660.89284375
transcript.pyannote[1339].speaker SPEAKER_09
transcript.pyannote[1339].start 7661.19659375
transcript.pyannote[1339].end 7676.40096875
transcript.pyannote[1340].speaker SPEAKER_46
transcript.pyannote[1340].start 7676.36721875
transcript.pyannote[1340].end 7678.30784375
transcript.pyannote[1341].speaker SPEAKER_09
transcript.pyannote[1341].start 7678.30784375
transcript.pyannote[1341].end 7678.37534375
transcript.pyannote[1342].speaker SPEAKER_46
transcript.pyannote[1342].start 7678.37534375
transcript.pyannote[1342].end 7709.77971875
transcript.pyannote[1343].speaker SPEAKER_42
transcript.pyannote[1343].start 7693.96784375
transcript.pyannote[1343].end 7694.15346875
transcript.pyannote[1344].speaker SPEAKER_46
transcript.pyannote[1344].start 7710.40409375
transcript.pyannote[1344].end 7713.27284375
transcript.pyannote[1345].speaker SPEAKER_19
transcript.pyannote[1345].start 7714.11659375
transcript.pyannote[1345].end 7714.69034375
transcript.pyannote[1346].speaker SPEAKER_46
transcript.pyannote[1346].start 7714.69034375
transcript.pyannote[1346].end 7727.76846875
transcript.pyannote[1347].speaker SPEAKER_46
transcript.pyannote[1347].start 7728.13971875
transcript.pyannote[1347].end 7747.39409375
transcript.pyannote[1348].speaker SPEAKER_46
transcript.pyannote[1348].start 7748.10284375
transcript.pyannote[1348].end 7767.76221875
transcript.pyannote[1349].speaker SPEAKER_46
transcript.pyannote[1349].start 7768.92659375
transcript.pyannote[1349].end 7776.99284375
transcript.pyannote[1350].speaker SPEAKER_46
transcript.pyannote[1350].start 7779.84471875
transcript.pyannote[1350].end 7786.34159375
transcript.pyannote[1351].speaker SPEAKER_20
transcript.pyannote[1351].start 7786.96596875
transcript.pyannote[1351].end 7788.99096875
transcript.pyannote[1352].speaker SPEAKER_46
transcript.pyannote[1352].start 7787.45534375
transcript.pyannote[1352].end 7787.65784375
transcript.pyannote[1353].speaker SPEAKER_46
transcript.pyannote[1353].start 7788.95721875
transcript.pyannote[1353].end 7790.03721875
transcript.pyannote[1354].speaker SPEAKER_47
transcript.pyannote[1354].start 7789.04159375
transcript.pyannote[1354].end 7789.10909375
transcript.pyannote[1355].speaker SPEAKER_47
transcript.pyannote[1355].start 7789.12596875
transcript.pyannote[1355].end 7789.14284375
transcript.pyannote[1356].speaker SPEAKER_20
transcript.pyannote[1356].start 7789.14284375
transcript.pyannote[1356].end 7789.34534375
transcript.pyannote[1357].speaker SPEAKER_47
transcript.pyannote[1357].start 7789.34534375
transcript.pyannote[1357].end 7789.39596875
transcript.pyannote[1358].speaker SPEAKER_47
transcript.pyannote[1358].start 7790.03721875
transcript.pyannote[1358].end 7791.58971875
transcript.pyannote[1359].speaker SPEAKER_05
transcript.pyannote[1359].start 7793.12534375
transcript.pyannote[1359].end 7795.20096875
transcript.pyannote[1360].speaker SPEAKER_05
transcript.pyannote[1360].start 7796.55096875
transcript.pyannote[1360].end 7799.52096875
transcript.pyannote[1361].speaker SPEAKER_05
transcript.pyannote[1361].start 7800.60096875
transcript.pyannote[1361].end 7803.16596875
transcript.pyannote[1362].speaker SPEAKER_05
transcript.pyannote[1362].start 7803.70596875
transcript.pyannote[1362].end 7807.50284375
transcript.pyannote[1363].speaker SPEAKER_05
transcript.pyannote[1363].start 7808.02596875
transcript.pyannote[1363].end 7808.39721875
transcript.pyannote[1364].speaker SPEAKER_05
transcript.pyannote[1364].start 7809.66284375
transcript.pyannote[1364].end 7810.74284375
transcript.pyannote[1365].speaker SPEAKER_05
transcript.pyannote[1365].start 7812.61596875
transcript.pyannote[1365].end 7813.37534375
transcript.pyannote[1366].speaker SPEAKER_47
transcript.pyannote[1366].start 7815.83909375
transcript.pyannote[1366].end 7817.57721875
transcript.pyannote[1367].speaker SPEAKER_05
transcript.pyannote[1367].start 7817.89784375
transcript.pyannote[1367].end 7819.21409375
transcript.pyannote[1368].speaker SPEAKER_05
transcript.pyannote[1368].start 7819.46721875
transcript.pyannote[1368].end 7819.93971875
transcript.pyannote[1369].speaker SPEAKER_47
transcript.pyannote[1369].start 7820.36159375
transcript.pyannote[1369].end 7820.54721875
transcript.pyannote[1370].speaker SPEAKER_05
transcript.pyannote[1370].start 7826.20034375
transcript.pyannote[1370].end 7827.17909375
transcript.pyannote[1371].speaker SPEAKER_05
transcript.pyannote[1371].start 7829.18721875
transcript.pyannote[1371].end 7830.08159375
transcript.pyannote[1372].speaker SPEAKER_46
transcript.pyannote[1372].start 7830.90846875
transcript.pyannote[1372].end 7833.43971875
transcript.pyannote[1373].speaker SPEAKER_05
transcript.pyannote[1373].start 7834.55346875
transcript.pyannote[1373].end 7836.00471875
transcript.pyannote[1374].speaker SPEAKER_46
transcript.pyannote[1374].start 7836.30846875
transcript.pyannote[1374].end 7836.66284375
transcript.pyannote[1375].speaker SPEAKER_05
transcript.pyannote[1375].start 7836.52784375
transcript.pyannote[1375].end 7837.87784375
transcript.pyannote[1376].speaker SPEAKER_47
transcript.pyannote[1376].start 7839.22784375
transcript.pyannote[1376].end 7840.35846875
transcript.pyannote[1377].speaker SPEAKER_05
transcript.pyannote[1377].start 7839.95346875
transcript.pyannote[1377].end 7842.09659375
transcript.pyannote[1378].speaker SPEAKER_47
transcript.pyannote[1378].start 7842.80534375
transcript.pyannote[1378].end 7844.71221875
transcript.pyannote[1379].speaker SPEAKER_05
transcript.pyannote[1379].start 7844.67846875
transcript.pyannote[1379].end 7846.01159375
transcript.pyannote[1380].speaker SPEAKER_47
transcript.pyannote[1380].start 7844.94846875
transcript.pyannote[1380].end 7850.44971875
transcript.pyannote[1381].speaker SPEAKER_05
transcript.pyannote[1381].start 7850.83784375
transcript.pyannote[1381].end 7851.42846875
transcript.pyannote[1382].speaker SPEAKER_05
transcript.pyannote[1382].start 7851.79971875
transcript.pyannote[1382].end 7853.11596875
transcript.pyannote[1383].speaker SPEAKER_05
transcript.pyannote[1383].start 7853.26784375
transcript.pyannote[1383].end 7853.74034375
transcript.pyannote[1384].speaker SPEAKER_05
transcript.pyannote[1384].start 7853.80784375
transcript.pyannote[1384].end 7858.49909375
transcript.pyannote[1385].speaker SPEAKER_05
transcript.pyannote[1385].start 7859.20784375
transcript.pyannote[1385].end 7859.39346875
transcript.pyannote[1386].speaker SPEAKER_05
transcript.pyannote[1386].start 7859.56221875
transcript.pyannote[1386].end 7861.75596875
transcript.pyannote[1387].speaker SPEAKER_47
transcript.pyannote[1387].start 7862.44784375
transcript.pyannote[1387].end 7863.12284375
transcript.pyannote[1388].speaker SPEAKER_05
transcript.pyannote[1388].start 7862.90346875
transcript.pyannote[1388].end 7865.08034375
transcript.pyannote[1389].speaker SPEAKER_47
transcript.pyannote[1389].start 7864.94534375
transcript.pyannote[1389].end 7868.69159375
transcript.pyannote[1390].speaker SPEAKER_05
transcript.pyannote[1390].start 7865.70471875
transcript.pyannote[1390].end 7866.53159375
transcript.pyannote[1391].speaker SPEAKER_05
transcript.pyannote[1391].start 7867.83096875
transcript.pyannote[1391].end 7869.28221875
transcript.pyannote[1392].speaker SPEAKER_47
transcript.pyannote[1392].start 7869.16409375
transcript.pyannote[1392].end 7869.67034375
transcript.pyannote[1393].speaker SPEAKER_05
transcript.pyannote[1393].start 7869.67034375
transcript.pyannote[1393].end 7872.52221875
transcript.pyannote[1394].speaker SPEAKER_47
transcript.pyannote[1394].start 7872.52221875
transcript.pyannote[1394].end 7874.88471875
transcript.pyannote[1395].speaker SPEAKER_05
transcript.pyannote[1395].start 7874.41221875
transcript.pyannote[1395].end 7877.26409375
transcript.pyannote[1396].speaker SPEAKER_47
transcript.pyannote[1396].start 7876.43721875
transcript.pyannote[1396].end 7878.85034375
transcript.pyannote[1397].speaker SPEAKER_12
transcript.pyannote[1397].start 7877.26409375
transcript.pyannote[1397].end 7877.33159375
transcript.pyannote[1398].speaker SPEAKER_05
transcript.pyannote[1398].start 7878.37784375
transcript.pyannote[1398].end 7878.42846875
transcript.pyannote[1399].speaker SPEAKER_12
transcript.pyannote[1399].start 7878.42846875
transcript.pyannote[1399].end 7879.69409375
transcript.pyannote[1400].speaker SPEAKER_47
transcript.pyannote[1400].start 7879.60971875
transcript.pyannote[1400].end 7881.44909375
transcript.pyannote[1401].speaker SPEAKER_12
transcript.pyannote[1401].start 7881.51659375
transcript.pyannote[1401].end 7924.73346875
transcript.pyannote[1402].speaker SPEAKER_00
transcript.pyannote[1402].start 7897.17659375
transcript.pyannote[1402].end 7897.21034375
transcript.pyannote[1403].speaker SPEAKER_42
transcript.pyannote[1403].start 7924.73346875
transcript.pyannote[1403].end 7925.76284375
transcript.pyannote[1404].speaker SPEAKER_12
transcript.pyannote[1404].start 7925.71221875
transcript.pyannote[1404].end 8020.29659375
transcript.pyannote[1405].speaker SPEAKER_00
transcript.pyannote[1405].start 7991.67659375
transcript.pyannote[1405].end 7991.86221875
transcript.pyannote[1406].speaker SPEAKER_42
transcript.pyannote[1406].start 7991.86221875
transcript.pyannote[1406].end 7991.92971875
transcript.pyannote[1407].speaker SPEAKER_00
transcript.pyannote[1407].start 7991.92971875
transcript.pyannote[1407].end 7991.98034375
transcript.pyannote[1408].speaker SPEAKER_42
transcript.pyannote[1408].start 7991.98034375
transcript.pyannote[1408].end 7991.99721875
transcript.pyannote[1409].speaker SPEAKER_00
transcript.pyannote[1409].start 7991.99721875
transcript.pyannote[1409].end 7992.04784375
transcript.pyannote[1410].speaker SPEAKER_05
transcript.pyannote[1410].start 8019.46971875
transcript.pyannote[1410].end 8020.19534375
transcript.pyannote[1411].speaker SPEAKER_42
transcript.pyannote[1411].start 8020.19534375
transcript.pyannote[1411].end 8020.21221875
transcript.pyannote[1412].speaker SPEAKER_42
transcript.pyannote[1412].start 8020.29659375
transcript.pyannote[1412].end 8020.43159375
transcript.pyannote[1413].speaker SPEAKER_12
transcript.pyannote[1413].start 8020.43159375
transcript.pyannote[1413].end 8023.18221875
transcript.pyannote[1414].speaker SPEAKER_12
transcript.pyannote[1414].start 8023.72221875
transcript.pyannote[1414].end 8024.26221875
transcript.pyannote[1415].speaker SPEAKER_12
transcript.pyannote[1415].start 8024.44784375
transcript.pyannote[1415].end 8031.24846875
transcript.pyannote[1416].speaker SPEAKER_05
transcript.pyannote[1416].start 8029.72971875
transcript.pyannote[1416].end 8030.79284375
transcript.pyannote[1417].speaker SPEAKER_12
transcript.pyannote[1417].start 8031.78846875
transcript.pyannote[1417].end 8031.97409375
transcript.pyannote[1418].speaker SPEAKER_05
transcript.pyannote[1418].start 8031.97409375
transcript.pyannote[1418].end 8034.08346875
transcript.pyannote[1419].speaker SPEAKER_05
transcript.pyannote[1419].start 8034.65721875
transcript.pyannote[1419].end 8035.11284375
transcript.pyannote[1420].speaker SPEAKER_05
transcript.pyannote[1420].start 8035.75409375
transcript.pyannote[1420].end 8037.94784375
transcript.pyannote[1421].speaker SPEAKER_12
transcript.pyannote[1421].start 8038.48784375
transcript.pyannote[1421].end 8043.73596875
transcript.pyannote[1422].speaker SPEAKER_05
transcript.pyannote[1422].start 8043.16221875
transcript.pyannote[1422].end 8050.87409375
transcript.pyannote[1423].speaker SPEAKER_12
transcript.pyannote[1423].start 8047.65096875
transcript.pyannote[1423].end 8051.66721875
transcript.pyannote[1424].speaker SPEAKER_05
transcript.pyannote[1424].start 8051.07659375
transcript.pyannote[1424].end 8054.24909375
transcript.pyannote[1425].speaker SPEAKER_05
transcript.pyannote[1425].start 8054.70471875
transcript.pyannote[1425].end 8055.75096875
transcript.pyannote[1426].speaker SPEAKER_12
transcript.pyannote[1426].start 8055.34596875
transcript.pyannote[1426].end 8064.84659375
transcript.pyannote[1427].speaker SPEAKER_05
transcript.pyannote[1427].start 8056.74659375
transcript.pyannote[1427].end 8057.52284375
transcript.pyannote[1428].speaker SPEAKER_05
transcript.pyannote[1428].start 8057.62409375
transcript.pyannote[1428].end 8058.65346875
transcript.pyannote[1429].speaker SPEAKER_05
transcript.pyannote[1429].start 8063.73284375
transcript.pyannote[1429].end 8068.84596875
transcript.pyannote[1430].speaker SPEAKER_12
transcript.pyannote[1430].start 8066.02784375
transcript.pyannote[1430].end 8068.86284375
transcript.pyannote[1431].speaker SPEAKER_42
transcript.pyannote[1431].start 8068.86284375
transcript.pyannote[1431].end 8068.91346875
transcript.pyannote[1432].speaker SPEAKER_25
transcript.pyannote[1432].start 8068.91346875
transcript.pyannote[1432].end 8068.93034375
transcript.pyannote[1433].speaker SPEAKER_12
transcript.pyannote[1433].start 8069.53784375
transcript.pyannote[1433].end 8076.23721875
transcript.pyannote[1434].speaker SPEAKER_05
transcript.pyannote[1434].start 8076.23721875
transcript.pyannote[1434].end 8076.33846875
transcript.pyannote[1435].speaker SPEAKER_25
transcript.pyannote[1435].start 8076.33846875
transcript.pyannote[1435].end 8076.60846875
transcript.pyannote[1436].speaker SPEAKER_05
transcript.pyannote[1436].start 8076.60846875
transcript.pyannote[1436].end 8076.64221875
transcript.pyannote[1437].speaker SPEAKER_05
transcript.pyannote[1437].start 8076.92909375
transcript.pyannote[1437].end 8077.94159375
transcript.pyannote[1438].speaker SPEAKER_05
transcript.pyannote[1438].start 8078.76846875
transcript.pyannote[1438].end 8082.27846875
transcript.pyannote[1439].speaker SPEAKER_42
transcript.pyannote[1439].start 8078.78534375
transcript.pyannote[1439].end 8078.80221875
transcript.pyannote[1440].speaker SPEAKER_12
transcript.pyannote[1440].start 8078.80221875
transcript.pyannote[1440].end 8078.81909375
transcript.pyannote[1441].speaker SPEAKER_42
transcript.pyannote[1441].start 8078.81909375
transcript.pyannote[1441].end 8079.42659375
transcript.pyannote[1442].speaker SPEAKER_42
transcript.pyannote[1442].start 8081.78909375
transcript.pyannote[1442].end 8082.21096875
transcript.pyannote[1443].speaker SPEAKER_42
transcript.pyannote[1443].start 8082.27846875
transcript.pyannote[1443].end 8084.67471875
transcript.pyannote[1444].speaker SPEAKER_05
transcript.pyannote[1444].start 8083.05471875
transcript.pyannote[1444].end 8085.68721875
transcript.pyannote[1445].speaker SPEAKER_42
transcript.pyannote[1445].start 8084.69159375
transcript.pyannote[1445].end 8084.75909375
transcript.pyannote[1446].speaker SPEAKER_42
transcript.pyannote[1446].start 8085.40034375
transcript.pyannote[1446].end 8085.65346875
transcript.pyannote[1447].speaker SPEAKER_42
transcript.pyannote[1447].start 8085.68721875
transcript.pyannote[1447].end 8086.90221875
transcript.pyannote[1448].speaker SPEAKER_05
transcript.pyannote[1448].start 8088.06659375
transcript.pyannote[1448].end 8092.47096875
transcript.pyannote[1449].speaker SPEAKER_05
transcript.pyannote[1449].start 8093.39909375
transcript.pyannote[1449].end 8095.45784375
transcript.pyannote[1450].speaker SPEAKER_05
transcript.pyannote[1450].start 8095.47471875
transcript.pyannote[1450].end 8102.68034375
transcript.pyannote[1451].speaker SPEAKER_12
transcript.pyannote[1451].start 8101.22909375
transcript.pyannote[1451].end 8117.96909375
transcript.pyannote[1452].speaker SPEAKER_05
transcript.pyannote[1452].start 8106.64596875
transcript.pyannote[1452].end 8108.06346875
transcript.pyannote[1453].speaker SPEAKER_05
transcript.pyannote[1453].start 8117.96909375
transcript.pyannote[1453].end 8121.02346875
transcript.pyannote[1454].speaker SPEAKER_12
transcript.pyannote[1454].start 8120.24721875
transcript.pyannote[1454].end 8120.29784375
transcript.pyannote[1455].speaker SPEAKER_47
transcript.pyannote[1455].start 8120.29784375
transcript.pyannote[1455].end 8121.24284375
transcript.pyannote[1456].speaker SPEAKER_05
transcript.pyannote[1456].start 8121.04034375
transcript.pyannote[1456].end 8122.00221875
transcript.pyannote[1457].speaker SPEAKER_47
transcript.pyannote[1457].start 8121.47909375
transcript.pyannote[1457].end 8127.67221875
transcript.pyannote[1458].speaker SPEAKER_05
transcript.pyannote[1458].start 8122.89659375
transcript.pyannote[1458].end 8123.08221875
transcript.pyannote[1459].speaker SPEAKER_42
transcript.pyannote[1459].start 8127.70596875
transcript.pyannote[1459].end 8129.86596875
transcript.pyannote[1460].speaker SPEAKER_47
transcript.pyannote[1460].start 8128.85346875
transcript.pyannote[1460].end 8140.56471875
transcript.pyannote[1461].speaker SPEAKER_47
transcript.pyannote[1461].start 8140.91909375
transcript.pyannote[1461].end 8142.87659375
transcript.pyannote[1462].speaker SPEAKER_47
transcript.pyannote[1462].start 8143.12971875
transcript.pyannote[1462].end 8146.28534375
transcript.pyannote[1463].speaker SPEAKER_47
transcript.pyannote[1463].start 8146.89284375
transcript.pyannote[1463].end 8148.19221875
transcript.pyannote[1464].speaker SPEAKER_47
transcript.pyannote[1464].start 8148.64784375
transcript.pyannote[1464].end 8217.24471875
transcript.pyannote[1465].speaker SPEAKER_42
transcript.pyannote[1465].start 8188.79346875
transcript.pyannote[1465].end 8189.38409375
transcript.pyannote[1466].speaker SPEAKER_30
transcript.pyannote[1466].start 8217.24471875
transcript.pyannote[1466].end 8217.29534375
transcript.pyannote[1467].speaker SPEAKER_42
transcript.pyannote[1467].start 8217.29534375
transcript.pyannote[1467].end 8217.63284375
transcript.pyannote[1468].speaker SPEAKER_30
transcript.pyannote[1468].start 8217.81846875
transcript.pyannote[1468].end 8239.75596875
transcript.pyannote[1469].speaker SPEAKER_30
transcript.pyannote[1469].start 8240.39721875
transcript.pyannote[1469].end 8242.81034375
transcript.pyannote[1470].speaker SPEAKER_30
transcript.pyannote[1470].start 8243.50221875
transcript.pyannote[1470].end 8254.38659375
transcript.pyannote[1471].speaker SPEAKER_30
transcript.pyannote[1471].start 8254.92659375
transcript.pyannote[1471].end 8264.56221875
transcript.pyannote[1472].speaker SPEAKER_47
transcript.pyannote[1472].start 8261.79471875
transcript.pyannote[1472].end 8263.02659375
transcript.pyannote[1473].speaker SPEAKER_47
transcript.pyannote[1473].start 8264.44409375
transcript.pyannote[1473].end 8266.11471875
transcript.pyannote[1474].speaker SPEAKER_20
transcript.pyannote[1474].start 8266.55346875
transcript.pyannote[1474].end 8268.96659375
transcript.pyannote[1475].speaker SPEAKER_15
transcript.pyannote[1475].start 8268.56159375
transcript.pyannote[1475].end 8284.33971875
transcript.pyannote[1476].speaker SPEAKER_15
transcript.pyannote[1476].start 8284.67721875
transcript.pyannote[1476].end 8288.10284375
transcript.pyannote[1477].speaker SPEAKER_15
transcript.pyannote[1477].start 8288.23784375
transcript.pyannote[1477].end 8299.84784375
transcript.pyannote[1478].speaker SPEAKER_19
transcript.pyannote[1478].start 8298.49784375
transcript.pyannote[1478].end 8304.42096875
transcript.pyannote[1479].speaker SPEAKER_15
transcript.pyannote[1479].start 8301.56909375
transcript.pyannote[1479].end 8302.95284375
transcript.pyannote[1480].speaker SPEAKER_15
transcript.pyannote[1480].start 8304.42096875
transcript.pyannote[1480].end 8310.73221875
transcript.pyannote[1481].speaker SPEAKER_19
transcript.pyannote[1481].start 8304.45471875
transcript.pyannote[1481].end 8305.28159375
transcript.pyannote[1482].speaker SPEAKER_42
transcript.pyannote[1482].start 8307.91409375
transcript.pyannote[1482].end 8308.11659375
transcript.pyannote[1483].speaker SPEAKER_42
transcript.pyannote[1483].start 8308.13346875
transcript.pyannote[1483].end 8308.16721875
transcript.pyannote[1484].speaker SPEAKER_42
transcript.pyannote[1484].start 8310.73221875
transcript.pyannote[1484].end 8310.81659375
transcript.pyannote[1485].speaker SPEAKER_15
transcript.pyannote[1485].start 8310.81659375
transcript.pyannote[1485].end 8310.85034375
transcript.pyannote[1486].speaker SPEAKER_15
transcript.pyannote[1486].start 8311.28909375
transcript.pyannote[1486].end 8319.67596875
transcript.pyannote[1487].speaker SPEAKER_47
transcript.pyannote[1487].start 8320.40159375
transcript.pyannote[1487].end 8322.47721875
transcript.pyannote[1488].speaker SPEAKER_15
transcript.pyannote[1488].start 8321.46471875
transcript.pyannote[1488].end 8321.51534375
transcript.pyannote[1489].speaker SPEAKER_15
transcript.pyannote[1489].start 8321.81909375
transcript.pyannote[1489].end 8322.02159375
transcript.pyannote[1490].speaker SPEAKER_15
transcript.pyannote[1490].start 8322.03846875
transcript.pyannote[1490].end 8322.07221875
transcript.pyannote[1491].speaker SPEAKER_15
transcript.pyannote[1491].start 8322.47721875
transcript.pyannote[1491].end 8323.27034375
transcript.pyannote[1492].speaker SPEAKER_47
transcript.pyannote[1492].start 8323.27034375
transcript.pyannote[1492].end 8323.28721875
transcript.pyannote[1493].speaker SPEAKER_15
transcript.pyannote[1493].start 8323.28721875
transcript.pyannote[1493].end 8323.30409375
transcript.pyannote[1494].speaker SPEAKER_47
transcript.pyannote[1494].start 8323.30409375
transcript.pyannote[1494].end 8327.67471875
transcript.pyannote[1495].speaker SPEAKER_15
transcript.pyannote[1495].start 8323.32096875
transcript.pyannote[1495].end 8324.51909375
transcript.pyannote[1496].speaker SPEAKER_26
transcript.pyannote[1496].start 8328.45096875
transcript.pyannote[1496].end 8328.87284375
transcript.pyannote[1497].speaker SPEAKER_26
transcript.pyannote[1497].start 8329.29471875
transcript.pyannote[1497].end 8330.61096875
transcript.pyannote[1498].speaker SPEAKER_26
transcript.pyannote[1498].start 8330.83034375
transcript.pyannote[1498].end 8334.07034375
transcript.pyannote[1499].speaker SPEAKER_12
transcript.pyannote[1499].start 8333.69909375
transcript.pyannote[1499].end 8333.88471875
transcript.pyannote[1500].speaker SPEAKER_12
transcript.pyannote[1500].start 8334.07034375
transcript.pyannote[1500].end 8334.25596875
transcript.pyannote[1501].speaker SPEAKER_26
transcript.pyannote[1501].start 8334.25596875
transcript.pyannote[1501].end 8334.32346875
transcript.pyannote[1502].speaker SPEAKER_12
transcript.pyannote[1502].start 8334.32346875
transcript.pyannote[1502].end 8334.44159375
transcript.pyannote[1503].speaker SPEAKER_26
transcript.pyannote[1503].start 8334.44159375
transcript.pyannote[1503].end 8336.82096875
transcript.pyannote[1504].speaker SPEAKER_12
transcript.pyannote[1504].start 8334.64409375
transcript.pyannote[1504].end 8334.67784375
transcript.pyannote[1505].speaker SPEAKER_12
transcript.pyannote[1505].start 8336.82096875
transcript.pyannote[1505].end 8337.86721875
transcript.pyannote[1506].speaker SPEAKER_26
transcript.pyannote[1506].start 8337.86721875
transcript.pyannote[1506].end 8338.59284375
transcript.pyannote[1507].speaker SPEAKER_12
transcript.pyannote[1507].start 8337.91784375
transcript.pyannote[1507].end 8338.08659375
transcript.pyannote[1508].speaker SPEAKER_12
transcript.pyannote[1508].start 8338.49159375
transcript.pyannote[1508].end 8339.94284375
transcript.pyannote[1509].speaker SPEAKER_26
transcript.pyannote[1509].start 8339.16659375
transcript.pyannote[1509].end 8340.60096875
transcript.pyannote[1510].speaker SPEAKER_26
transcript.pyannote[1510].start 8341.98471875
transcript.pyannote[1510].end 8344.92096875
transcript.pyannote[1511].speaker SPEAKER_42
transcript.pyannote[1511].start 8344.92096875
transcript.pyannote[1511].end 8345.76471875
transcript.pyannote[1512].speaker SPEAKER_26
transcript.pyannote[1512].start 8345.76471875
transcript.pyannote[1512].end 8358.58971875
transcript.pyannote[1513].speaker SPEAKER_24
transcript.pyannote[1513].start 8356.42971875
transcript.pyannote[1513].end 8356.56471875
transcript.pyannote[1514].speaker SPEAKER_42
transcript.pyannote[1514].start 8356.56471875
transcript.pyannote[1514].end 8356.88534375
transcript.pyannote[1515].speaker SPEAKER_24
transcript.pyannote[1515].start 8356.88534375
transcript.pyannote[1515].end 8357.15534375
transcript.pyannote[1516].speaker SPEAKER_26
transcript.pyannote[1516].start 8358.91034375
transcript.pyannote[1516].end 8361.66096875
transcript.pyannote[1517].speaker SPEAKER_26
transcript.pyannote[1517].start 8362.13346875
transcript.pyannote[1517].end 8363.21346875
transcript.pyannote[1518].speaker SPEAKER_26
transcript.pyannote[1518].start 8363.73659375
transcript.pyannote[1518].end 8368.34346875
transcript.pyannote[1519].speaker SPEAKER_20
transcript.pyannote[1519].start 8365.89659375
transcript.pyannote[1519].end 8366.03159375
transcript.pyannote[1520].speaker SPEAKER_42
transcript.pyannote[1520].start 8366.03159375
transcript.pyannote[1520].end 8366.04846875
transcript.pyannote[1521].speaker SPEAKER_20
transcript.pyannote[1521].start 8366.04846875
transcript.pyannote[1521].end 8366.38596875
transcript.pyannote[1522].speaker SPEAKER_42
transcript.pyannote[1522].start 8366.38596875
transcript.pyannote[1522].end 8366.47034375
transcript.pyannote[1523].speaker SPEAKER_20
transcript.pyannote[1523].start 8366.47034375
transcript.pyannote[1523].end 8369.84534375
transcript.pyannote[1524].speaker SPEAKER_26
transcript.pyannote[1524].start 8368.61346875
transcript.pyannote[1524].end 8368.73159375
transcript.pyannote[1525].speaker SPEAKER_26
transcript.pyannote[1525].start 8368.79909375
transcript.pyannote[1525].end 8371.43159375
transcript.pyannote[1526].speaker SPEAKER_42
transcript.pyannote[1526].start 8369.84534375
transcript.pyannote[1526].end 8375.02596875
transcript.pyannote[1527].speaker SPEAKER_20
transcript.pyannote[1527].start 8371.43159375
transcript.pyannote[1527].end 8371.44846875
transcript.pyannote[1528].speaker SPEAKER_26
transcript.pyannote[1528].start 8373.54096875
transcript.pyannote[1528].end 8375.24534375
transcript.pyannote[1529].speaker SPEAKER_05
transcript.pyannote[1529].start 8375.02596875
transcript.pyannote[1529].end 8377.13534375
transcript.pyannote[1530].speaker SPEAKER_42
transcript.pyannote[1530].start 8375.24534375
transcript.pyannote[1530].end 8375.34659375
transcript.pyannote[1531].speaker SPEAKER_26
transcript.pyannote[1531].start 8375.34659375
transcript.pyannote[1531].end 8375.44784375
transcript.pyannote[1532].speaker SPEAKER_42
transcript.pyannote[1532].start 8375.44784375
transcript.pyannote[1532].end 8375.97096875
transcript.pyannote[1533].speaker SPEAKER_26
transcript.pyannote[1533].start 8375.97096875
transcript.pyannote[1533].end 8376.00471875
transcript.pyannote[1534].speaker SPEAKER_42
transcript.pyannote[1534].start 8376.00471875
transcript.pyannote[1534].end 8378.18159375
transcript.pyannote[1535].speaker SPEAKER_26
transcript.pyannote[1535].start 8377.13534375
transcript.pyannote[1535].end 8377.15221875
transcript.pyannote[1536].speaker SPEAKER_42
transcript.pyannote[1536].start 8378.29971875
transcript.pyannote[1536].end 8378.46846875
transcript.pyannote[1537].speaker SPEAKER_05
transcript.pyannote[1537].start 8378.46846875
transcript.pyannote[1537].end 8379.00846875
transcript.pyannote[1538].speaker SPEAKER_42
transcript.pyannote[1538].start 8378.48534375
transcript.pyannote[1538].end 8381.42159375
transcript.pyannote[1539].speaker SPEAKER_05
transcript.pyannote[1539].start 8380.98284375
transcript.pyannote[1539].end 8388.62721875
transcript.pyannote[1540].speaker SPEAKER_42
transcript.pyannote[1540].start 8383.22721875
transcript.pyannote[1540].end 8384.67846875
transcript.pyannote[1541].speaker SPEAKER_20
transcript.pyannote[1541].start 8388.42471875
transcript.pyannote[1541].end 8388.59346875
transcript.pyannote[1542].speaker SPEAKER_20
transcript.pyannote[1542].start 8388.62721875
transcript.pyannote[1542].end 8388.64409375
transcript.pyannote[1543].speaker SPEAKER_42
transcript.pyannote[1543].start 8388.64409375
transcript.pyannote[1543].end 8389.18409375
transcript.pyannote[1544].speaker SPEAKER_20
transcript.pyannote[1544].start 8389.18409375
transcript.pyannote[1544].end 8391.04034375
transcript.pyannote[1545].speaker SPEAKER_20
transcript.pyannote[1545].start 8391.15846875
transcript.pyannote[1545].end 8391.19221875
transcript.pyannote[1546].speaker SPEAKER_05
transcript.pyannote[1546].start 8391.19221875
transcript.pyannote[1546].end 8398.06034375
transcript.pyannote[1547].speaker SPEAKER_20
transcript.pyannote[1547].start 8392.12034375
transcript.pyannote[1547].end 8393.45346875
transcript.pyannote[1548].speaker SPEAKER_47
transcript.pyannote[1548].start 8393.45346875
transcript.pyannote[1548].end 8393.47034375
transcript.pyannote[1549].speaker SPEAKER_20
transcript.pyannote[1549].start 8393.47034375
transcript.pyannote[1549].end 8393.53784375
transcript.pyannote[1550].speaker SPEAKER_20
transcript.pyannote[1550].start 8393.58846875
transcript.pyannote[1550].end 8393.87534375
transcript.pyannote[1551].speaker SPEAKER_47
transcript.pyannote[1551].start 8398.24596875
transcript.pyannote[1551].end 8399.71409375
transcript.pyannote[1552].speaker SPEAKER_05
transcript.pyannote[1552].start 8399.71409375
transcript.pyannote[1552].end 8403.88221875
transcript.pyannote[1553].speaker SPEAKER_43
transcript.pyannote[1553].start 8402.93721875
transcript.pyannote[1553].end 8428.26659375
transcript.pyannote[1554].speaker SPEAKER_43
transcript.pyannote[1554].start 8428.85721875
transcript.pyannote[1554].end 8531.82846875
transcript.pyannote[1555].speaker SPEAKER_43
transcript.pyannote[1555].start 8532.09846875
transcript.pyannote[1555].end 8575.83846875
transcript.pyannote[1556].speaker SPEAKER_18
transcript.pyannote[1556].start 8554.98096875
transcript.pyannote[1556].end 8555.52096875
transcript.pyannote[1557].speaker SPEAKER_42
transcript.pyannote[1557].start 8555.52096875
transcript.pyannote[1557].end 8555.63909375
transcript.pyannote[1558].speaker SPEAKER_43
transcript.pyannote[1558].start 8576.59784375
transcript.pyannote[1558].end 8597.13471875
transcript.pyannote[1559].speaker SPEAKER_21
transcript.pyannote[1559].start 8594.94096875
transcript.pyannote[1559].end 8618.90346875
transcript.pyannote[1560].speaker SPEAKER_21
transcript.pyannote[1560].start 8619.22409375
transcript.pyannote[1560].end 8623.13909375
transcript.pyannote[1561].speaker SPEAKER_21
transcript.pyannote[1561].start 8623.54409375
transcript.pyannote[1561].end 8630.02409375
transcript.pyannote[1562].speaker SPEAKER_05
transcript.pyannote[1562].start 8630.02409375
transcript.pyannote[1562].end 8630.78346875
transcript.pyannote[1563].speaker SPEAKER_21
transcript.pyannote[1563].start 8630.78346875
transcript.pyannote[1563].end 8630.93534375
transcript.pyannote[1564].speaker SPEAKER_21
transcript.pyannote[1564].start 8630.95221875
transcript.pyannote[1564].end 8631.03659375
transcript.pyannote[1565].speaker SPEAKER_47
transcript.pyannote[1565].start 8631.03659375
transcript.pyannote[1565].end 8632.92659375
transcript.pyannote[1566].speaker SPEAKER_21
transcript.pyannote[1566].start 8632.92659375
transcript.pyannote[1566].end 8632.94346875
transcript.pyannote[1567].speaker SPEAKER_05
transcript.pyannote[1567].start 8632.94346875
transcript.pyannote[1567].end 8633.31471875
transcript.pyannote[1568].speaker SPEAKER_47
transcript.pyannote[1568].start 8633.31471875
transcript.pyannote[1568].end 8633.56784375
transcript.pyannote[1569].speaker SPEAKER_05
transcript.pyannote[1569].start 8633.56784375
transcript.pyannote[1569].end 8635.71096875
transcript.pyannote[1570].speaker SPEAKER_47
transcript.pyannote[1570].start 8634.71534375
transcript.pyannote[1570].end 8635.08659375
transcript.pyannote[1571].speaker SPEAKER_05
transcript.pyannote[1571].start 8636.79096875
transcript.pyannote[1571].end 8638.07346875
transcript.pyannote[1572].speaker SPEAKER_47
transcript.pyannote[1572].start 8637.95534375
transcript.pyannote[1572].end 8640.13221875
transcript.pyannote[1573].speaker SPEAKER_05
transcript.pyannote[1573].start 8639.81159375
transcript.pyannote[1573].end 8640.73971875
transcript.pyannote[1574].speaker SPEAKER_47
transcript.pyannote[1574].start 8640.45284375
transcript.pyannote[1574].end 8641.36409375
transcript.pyannote[1575].speaker SPEAKER_05
transcript.pyannote[1575].start 8641.39784375
transcript.pyannote[1575].end 8646.67971875
transcript.pyannote[1576].speaker SPEAKER_05
transcript.pyannote[1576].start 8647.11846875
transcript.pyannote[1576].end 8647.94534375
transcript.pyannote[1577].speaker SPEAKER_21
transcript.pyannote[1577].start 8647.40534375
transcript.pyannote[1577].end 8648.14784375
transcript.pyannote[1578].speaker SPEAKER_21
transcript.pyannote[1578].start 8648.35034375
transcript.pyannote[1578].end 8664.04409375
transcript.pyannote[1579].speaker SPEAKER_43
transcript.pyannote[1579].start 8648.62034375
transcript.pyannote[1579].end 8650.96596875
transcript.pyannote[1580].speaker SPEAKER_43
transcript.pyannote[1580].start 8652.14721875
transcript.pyannote[1580].end 8652.16409375
transcript.pyannote[1581].speaker SPEAKER_05
transcript.pyannote[1581].start 8652.16409375
transcript.pyannote[1581].end 8653.93596875
transcript.pyannote[1582].speaker SPEAKER_47
transcript.pyannote[1582].start 8663.23409375
transcript.pyannote[1582].end 8680.96971875
transcript.pyannote[1583].speaker SPEAKER_47
transcript.pyannote[1583].start 8682.45471875
transcript.pyannote[1583].end 8684.63159375
transcript.pyannote[1584].speaker SPEAKER_18
transcript.pyannote[1584].start 8682.85971875
transcript.pyannote[1584].end 8685.79596875
transcript.pyannote[1585].speaker SPEAKER_47
transcript.pyannote[1585].start 8685.98159375
transcript.pyannote[1585].end 8692.91721875
transcript.pyannote[1586].speaker SPEAKER_47
transcript.pyannote[1586].start 8693.11971875
transcript.pyannote[1586].end 8696.56221875
transcript.pyannote[1587].speaker SPEAKER_42
transcript.pyannote[1587].start 8693.84534375
transcript.pyannote[1587].end 8694.30096875
transcript.pyannote[1588].speaker SPEAKER_42
transcript.pyannote[1588].start 8694.35159375
transcript.pyannote[1588].end 8694.40221875
transcript.pyannote[1589].speaker SPEAKER_47
transcript.pyannote[1589].start 8697.47346875
transcript.pyannote[1589].end 8697.96284375
transcript.pyannote[1590].speaker SPEAKER_22
transcript.pyannote[1590].start 8700.62909375
transcript.pyannote[1590].end 8700.89909375
transcript.pyannote[1591].speaker SPEAKER_22
transcript.pyannote[1591].start 8700.96659375
transcript.pyannote[1591].end 8701.01721875
transcript.pyannote[1592].speaker SPEAKER_22
transcript.pyannote[1592].start 8701.10159375
transcript.pyannote[1592].end 8701.42221875
transcript.pyannote[1593].speaker SPEAKER_22
transcript.pyannote[1593].start 8701.45596875
transcript.pyannote[1593].end 8701.65846875
transcript.pyannote[1594].speaker SPEAKER_22
transcript.pyannote[1594].start 8701.70909375
transcript.pyannote[1594].end 8701.74284375
transcript.pyannote[1595].speaker SPEAKER_22
transcript.pyannote[1595].start 8701.87784375
transcript.pyannote[1595].end 8702.08034375
transcript.pyannote[1596].speaker SPEAKER_31
transcript.pyannote[1596].start 8702.08034375
transcript.pyannote[1596].end 8702.09721875
transcript.pyannote[1597].speaker SPEAKER_22
transcript.pyannote[1597].start 8702.09721875
transcript.pyannote[1597].end 8703.48096875
transcript.pyannote[1598].speaker SPEAKER_31
transcript.pyannote[1598].start 8703.48096875
transcript.pyannote[1598].end 8703.63284375
transcript.pyannote[1599].speaker SPEAKER_31
transcript.pyannote[1599].start 8703.66659375
transcript.pyannote[1599].end 8712.03659375
transcript.pyannote[1600].speaker SPEAKER_22
transcript.pyannote[1600].start 8709.60659375
transcript.pyannote[1600].end 8711.12534375
transcript.pyannote[1601].speaker SPEAKER_32
transcript.pyannote[1601].start 8711.12534375
transcript.pyannote[1601].end 8711.44596875
transcript.pyannote[1602].speaker SPEAKER_22
transcript.pyannote[1602].start 8711.44596875
transcript.pyannote[1602].end 8714.70284375
transcript.pyannote[1603].speaker SPEAKER_32
transcript.pyannote[1603].start 8712.03659375
transcript.pyannote[1603].end 8719.54596875
transcript.pyannote[1604].speaker SPEAKER_22
transcript.pyannote[1604].start 8716.59284375
transcript.pyannote[1604].end 8716.89659375
transcript.pyannote[1605].speaker SPEAKER_22
transcript.pyannote[1605].start 8719.54596875
transcript.pyannote[1605].end 8719.57971875
transcript.pyannote[1606].speaker SPEAKER_32
transcript.pyannote[1606].start 8719.57971875
transcript.pyannote[1606].end 8719.64721875
transcript.pyannote[1607].speaker SPEAKER_22
transcript.pyannote[1607].start 8719.64721875
transcript.pyannote[1607].end 8719.78221875
transcript.pyannote[1608].speaker SPEAKER_32
transcript.pyannote[1608].start 8719.78221875
transcript.pyannote[1608].end 8720.03534375
transcript.pyannote[1609].speaker SPEAKER_22
transcript.pyannote[1609].start 8720.03534375
transcript.pyannote[1609].end 8720.05221875
transcript.pyannote[1610].speaker SPEAKER_32
transcript.pyannote[1610].start 8720.05221875
transcript.pyannote[1610].end 8720.62596875
transcript.pyannote[1611].speaker SPEAKER_22
transcript.pyannote[1611].start 8720.62596875
transcript.pyannote[1611].end 8726.19471875
transcript.pyannote[1612].speaker SPEAKER_04
transcript.pyannote[1612].start 8726.19471875
transcript.pyannote[1612].end 8741.19659375
transcript.pyannote[1613].speaker SPEAKER_22
transcript.pyannote[1613].start 8727.03846875
transcript.pyannote[1613].end 8730.32909375
transcript.pyannote[1614].speaker SPEAKER_42
transcript.pyannote[1614].start 8734.90221875
transcript.pyannote[1614].end 8734.91909375
transcript.pyannote[1615].speaker SPEAKER_22
transcript.pyannote[1615].start 8734.91909375
transcript.pyannote[1615].end 8735.03721875
transcript.pyannote[1616].speaker SPEAKER_42
transcript.pyannote[1616].start 8735.03721875
transcript.pyannote[1616].end 8735.37471875
transcript.pyannote[1617].speaker SPEAKER_22
transcript.pyannote[1617].start 8735.37471875
transcript.pyannote[1617].end 8736.99471875
transcript.pyannote[1618].speaker SPEAKER_42
transcript.pyannote[1618].start 8736.99471875
transcript.pyannote[1618].end 8739.64409375
transcript.pyannote[1619].speaker SPEAKER_42
transcript.pyannote[1619].start 8741.19659375
transcript.pyannote[1619].end 8744.97659375
transcript.pyannote[1620].speaker SPEAKER_34
transcript.pyannote[1620].start 8744.97659375
transcript.pyannote[1620].end 8749.29659375
transcript.pyannote[1621].speaker SPEAKER_04
transcript.pyannote[1621].start 8748.23346875
transcript.pyannote[1621].end 8749.49909375
transcript.pyannote[1622].speaker SPEAKER_34
transcript.pyannote[1622].start 8749.49909375
transcript.pyannote[1622].end 8749.65096875
transcript.pyannote[1623].speaker SPEAKER_04
transcript.pyannote[1623].start 8749.65096875
transcript.pyannote[1623].end 8761.00784375
transcript.pyannote[1624].speaker SPEAKER_34
transcript.pyannote[1624].start 8750.07284375
transcript.pyannote[1624].end 8750.20784375
transcript.pyannote[1625].speaker SPEAKER_42
transcript.pyannote[1625].start 8754.05534375
transcript.pyannote[1625].end 8754.10596875
transcript.pyannote[1626].speaker SPEAKER_40
transcript.pyannote[1626].start 8829.55409375
transcript.pyannote[1626].end 8831.30909375
transcript.pyannote[1627].speaker SPEAKER_42
transcript.pyannote[1627].start 8842.17659375
transcript.pyannote[1627].end 8842.64909375
transcript.pyannote[1628].speaker SPEAKER_47
transcript.pyannote[1628].start 9316.98846875
transcript.pyannote[1628].end 9361.45409375
transcript.pyannote[1629].speaker SPEAKER_25
transcript.pyannote[1629].start 9365.35221875
transcript.pyannote[1629].end 9371.89971875
transcript.pyannote[1630].speaker SPEAKER_25
transcript.pyannote[1630].start 9372.57471875
transcript.pyannote[1630].end 9402.57846875
transcript.pyannote[1631].speaker SPEAKER_25
transcript.pyannote[1631].start 9402.79784375
transcript.pyannote[1631].end 9415.96034375
transcript.pyannote[1632].speaker SPEAKER_25
transcript.pyannote[1632].start 9416.23034375
transcript.pyannote[1632].end 9417.07409375
transcript.pyannote[1633].speaker SPEAKER_47
transcript.pyannote[1633].start 9417.17534375
transcript.pyannote[1633].end 9423.53721875
transcript.pyannote[1634].speaker SPEAKER_21
transcript.pyannote[1634].start 9423.84096875
transcript.pyannote[1634].end 9470.60159375
transcript.pyannote[1635].speaker SPEAKER_47
transcript.pyannote[1635].start 9471.58034375
transcript.pyannote[1635].end 9474.17909375
transcript.pyannote[1636].speaker SPEAKER_47
transcript.pyannote[1636].start 9474.46596875
transcript.pyannote[1636].end 9476.72721875
transcript.pyannote[1637].speaker SPEAKER_26
transcript.pyannote[1637].start 9476.72721875
transcript.pyannote[1637].end 9478.33034375
transcript.pyannote[1638].speaker SPEAKER_26
transcript.pyannote[1638].start 9478.85346875
transcript.pyannote[1638].end 9481.26659375
transcript.pyannote[1639].speaker SPEAKER_26
transcript.pyannote[1639].start 9481.97534375
transcript.pyannote[1639].end 9485.58659375
transcript.pyannote[1640].speaker SPEAKER_26
transcript.pyannote[1640].start 9486.68346875
transcript.pyannote[1640].end 9488.21909375
transcript.pyannote[1641].speaker SPEAKER_26
transcript.pyannote[1641].start 9488.64096875
transcript.pyannote[1641].end 9490.46346875
transcript.pyannote[1642].speaker SPEAKER_26
transcript.pyannote[1642].start 9490.98659375
transcript.pyannote[1642].end 9492.01596875
transcript.pyannote[1643].speaker SPEAKER_26
transcript.pyannote[1643].start 9492.67409375
transcript.pyannote[1643].end 9498.56346875
transcript.pyannote[1644].speaker SPEAKER_26
transcript.pyannote[1644].start 9499.52534375
transcript.pyannote[1644].end 9501.26346875
transcript.pyannote[1645].speaker SPEAKER_26
transcript.pyannote[1645].start 9501.58409375
transcript.pyannote[1645].end 9502.93409375
transcript.pyannote[1646].speaker SPEAKER_42
transcript.pyannote[1646].start 9503.18721875
transcript.pyannote[1646].end 9503.20409375
transcript.pyannote[1647].speaker SPEAKER_26
transcript.pyannote[1647].start 9503.74409375
transcript.pyannote[1647].end 9505.80284375
transcript.pyannote[1648].speaker SPEAKER_26
transcript.pyannote[1648].start 9506.14034375
transcript.pyannote[1648].end 9508.62096875
transcript.pyannote[1649].speaker SPEAKER_42
transcript.pyannote[1649].start 9508.62096875
transcript.pyannote[1649].end 9509.19471875
transcript.pyannote[1650].speaker SPEAKER_42
transcript.pyannote[1650].start 9509.24534375
transcript.pyannote[1650].end 9509.27909375
transcript.pyannote[1651].speaker SPEAKER_26
transcript.pyannote[1651].start 9509.27909375
transcript.pyannote[1651].end 9510.24096875
transcript.pyannote[1652].speaker SPEAKER_42
transcript.pyannote[1652].start 9510.24096875
transcript.pyannote[1652].end 9510.86534375
transcript.pyannote[1653].speaker SPEAKER_26
transcript.pyannote[1653].start 9511.45596875
transcript.pyannote[1653].end 9513.76784375
transcript.pyannote[1654].speaker SPEAKER_26
transcript.pyannote[1654].start 9514.37534375
transcript.pyannote[1654].end 9515.65784375
transcript.pyannote[1655].speaker SPEAKER_26
transcript.pyannote[1655].start 9516.18096875
transcript.pyannote[1655].end 9517.17659375
transcript.pyannote[1656].speaker SPEAKER_26
transcript.pyannote[1656].start 9517.69971875
transcript.pyannote[1656].end 9518.76284375
transcript.pyannote[1657].speaker SPEAKER_26
transcript.pyannote[1657].start 9519.91034375
transcript.pyannote[1657].end 9522.22221875
transcript.pyannote[1658].speaker SPEAKER_26
transcript.pyannote[1658].start 9523.15034375
transcript.pyannote[1658].end 9525.46221875
transcript.pyannote[1659].speaker SPEAKER_26
transcript.pyannote[1659].start 9526.03596875
transcript.pyannote[1659].end 9526.71096875
transcript.pyannote[1660].speaker SPEAKER_26
transcript.pyannote[1660].start 9527.65596875
transcript.pyannote[1660].end 9528.85409375
transcript.pyannote[1661].speaker SPEAKER_26
transcript.pyannote[1661].start 9529.84971875
transcript.pyannote[1661].end 9530.18721875
transcript.pyannote[1662].speaker SPEAKER_26
transcript.pyannote[1662].start 9530.40659375
transcript.pyannote[1662].end 9532.46534375
transcript.pyannote[1663].speaker SPEAKER_26
transcript.pyannote[1663].start 9533.93346875
transcript.pyannote[1663].end 9536.61659375
transcript.pyannote[1664].speaker SPEAKER_26
transcript.pyannote[1664].start 9536.83596875
transcript.pyannote[1664].end 9540.98721875
transcript.pyannote[1665].speaker SPEAKER_26
transcript.pyannote[1665].start 9541.67909375
transcript.pyannote[1665].end 9542.64096875
transcript.pyannote[1666].speaker SPEAKER_26
transcript.pyannote[1666].start 9542.97846875
transcript.pyannote[1666].end 9543.94034375
transcript.pyannote[1667].speaker SPEAKER_26
transcript.pyannote[1667].start 9543.95721875
transcript.pyannote[1667].end 9544.02471875
transcript.pyannote[1668].speaker SPEAKER_26
transcript.pyannote[1668].start 9544.17659375
transcript.pyannote[1668].end 9547.90596875
transcript.pyannote[1669].speaker SPEAKER_26
transcript.pyannote[1669].start 9548.22659375
transcript.pyannote[1669].end 9551.12909375
transcript.pyannote[1670].speaker SPEAKER_26
transcript.pyannote[1670].start 9552.09096875
transcript.pyannote[1670].end 9553.05284375
transcript.pyannote[1671].speaker SPEAKER_26
transcript.pyannote[1671].start 9553.79534375
transcript.pyannote[1671].end 9557.71034375
transcript.pyannote[1672].speaker SPEAKER_26
transcript.pyannote[1672].start 9558.19971875
transcript.pyannote[1672].end 9559.92096875
transcript.pyannote[1673].speaker SPEAKER_26
transcript.pyannote[1673].start 9560.46096875
transcript.pyannote[1673].end 9560.81534375
transcript.pyannote[1674].speaker SPEAKER_26
transcript.pyannote[1674].start 9561.40596875
transcript.pyannote[1674].end 9562.48596875
transcript.pyannote[1675].speaker SPEAKER_26
transcript.pyannote[1675].start 9562.80659375
transcript.pyannote[1675].end 9564.24096875
transcript.pyannote[1676].speaker SPEAKER_26
transcript.pyannote[1676].start 9565.10159375
transcript.pyannote[1676].end 9567.63284375
transcript.pyannote[1677].speaker SPEAKER_26
transcript.pyannote[1677].start 9568.05471875
transcript.pyannote[1677].end 9569.06721875
transcript.pyannote[1678].speaker SPEAKER_26
transcript.pyannote[1678].start 9569.37096875
transcript.pyannote[1678].end 9572.32409375
transcript.pyannote[1679].speaker SPEAKER_26
transcript.pyannote[1679].start 9573.11721875
transcript.pyannote[1679].end 9573.52221875
transcript.pyannote[1680].speaker SPEAKER_26
transcript.pyannote[1680].start 9573.77534375
transcript.pyannote[1680].end 9577.67346875
transcript.pyannote[1681].speaker SPEAKER_26
transcript.pyannote[1681].start 9578.33159375
transcript.pyannote[1681].end 9578.78721875
transcript.pyannote[1682].speaker SPEAKER_26
transcript.pyannote[1682].start 9579.22596875
transcript.pyannote[1682].end 9580.47471875
transcript.pyannote[1683].speaker SPEAKER_26
transcript.pyannote[1683].start 9580.52534375
transcript.pyannote[1683].end 9581.62221875
transcript.pyannote[1684].speaker SPEAKER_26
transcript.pyannote[1684].start 9581.95971875
transcript.pyannote[1684].end 9582.90471875
transcript.pyannote[1685].speaker SPEAKER_26
transcript.pyannote[1685].start 9583.41096875
transcript.pyannote[1685].end 9591.81471875
transcript.pyannote[1686].speaker SPEAKER_26
transcript.pyannote[1686].start 9592.11846875
transcript.pyannote[1686].end 9594.14346875
transcript.pyannote[1687].speaker SPEAKER_26
transcript.pyannote[1687].start 9594.16034375
transcript.pyannote[1687].end 9595.45971875
transcript.pyannote[1688].speaker SPEAKER_26
transcript.pyannote[1688].start 9595.76346875
transcript.pyannote[1688].end 9598.07534375
transcript.pyannote[1689].speaker SPEAKER_26
transcript.pyannote[1689].start 9598.53096875
transcript.pyannote[1689].end 9599.54346875
transcript.pyannote[1690].speaker SPEAKER_26
transcript.pyannote[1690].start 9599.79659375
transcript.pyannote[1690].end 9605.23034375
transcript.pyannote[1691].speaker SPEAKER_47
transcript.pyannote[1691].start 9605.73659375
transcript.pyannote[1691].end 9609.38159375
transcript.pyannote[1692].speaker SPEAKER_15
transcript.pyannote[1692].start 9610.59659375
transcript.pyannote[1692].end 9644.05971875
transcript.pyannote[1693].speaker SPEAKER_42
transcript.pyannote[1693].start 9641.05596875
transcript.pyannote[1693].end 9641.14034375
transcript.pyannote[1694].speaker SPEAKER_15
transcript.pyannote[1694].start 9644.71784375
transcript.pyannote[1694].end 9655.72034375
transcript.pyannote[1695].speaker SPEAKER_15
transcript.pyannote[1695].start 9656.02409375
transcript.pyannote[1695].end 9657.00284375
transcript.pyannote[1696].speaker SPEAKER_15
transcript.pyannote[1696].start 9657.23909375
transcript.pyannote[1696].end 9662.13284375
transcript.pyannote[1697].speaker SPEAKER_15
transcript.pyannote[1697].start 9662.65596875
transcript.pyannote[1697].end 9669.97971875
transcript.pyannote[1698].speaker SPEAKER_15
transcript.pyannote[1698].start 9670.16534375
transcript.pyannote[1698].end 9681.10034375
transcript.pyannote[1699].speaker SPEAKER_47
transcript.pyannote[1699].start 9681.87659375
transcript.pyannote[1699].end 9687.05721875
transcript.pyannote[1700].speaker SPEAKER_15
transcript.pyannote[1700].start 9682.04534375
transcript.pyannote[1700].end 9682.72034375
transcript.pyannote[1701].speaker SPEAKER_47
transcript.pyannote[1701].start 9687.22596875
transcript.pyannote[1701].end 9687.96846875
transcript.pyannote[1702].speaker SPEAKER_47
transcript.pyannote[1702].start 9688.37346875
transcript.pyannote[1702].end 9692.45721875
transcript.pyannote[1703].speaker SPEAKER_47
transcript.pyannote[1703].start 9692.49096875
transcript.pyannote[1703].end 9694.58346875
transcript.pyannote[1704].speaker SPEAKER_47
transcript.pyannote[1704].start 9694.76909375
transcript.pyannote[1704].end 9698.38034375
transcript.pyannote[1705].speaker SPEAKER_47
transcript.pyannote[1705].start 9698.71784375
transcript.pyannote[1705].end 9700.15221875
transcript.pyannote[1706].speaker SPEAKER_47
transcript.pyannote[1706].start 9700.52346875
transcript.pyannote[1706].end 9711.67784375
transcript.pyannote[1707].speaker SPEAKER_18
transcript.pyannote[1707].start 9712.20096875
transcript.pyannote[1707].end 9712.77471875
transcript.pyannote[1708].speaker SPEAKER_24
transcript.pyannote[1708].start 9713.04471875
transcript.pyannote[1708].end 9720.50346875
transcript.pyannote[1709].speaker SPEAKER_18
transcript.pyannote[1709].start 9720.50346875
transcript.pyannote[1709].end 9720.89159375
transcript.pyannote[1710].speaker SPEAKER_24
transcript.pyannote[1710].start 9720.89159375
transcript.pyannote[1710].end 9731.30346875
transcript.pyannote[1711].speaker SPEAKER_18
transcript.pyannote[1711].start 9721.12784375
transcript.pyannote[1711].end 9721.90409375
transcript.pyannote[1712].speaker SPEAKER_24
transcript.pyannote[1712].start 9731.52284375
transcript.pyannote[1712].end 9736.04534375
transcript.pyannote[1713].speaker SPEAKER_24
transcript.pyannote[1713].start 9736.12971875
transcript.pyannote[1713].end 9803.22471875
transcript.pyannote[1714].speaker SPEAKER_00
transcript.pyannote[1714].start 9740.58471875
transcript.pyannote[1714].end 9740.71971875
transcript.pyannote[1715].speaker SPEAKER_42
transcript.pyannote[1715].start 9746.54159375
transcript.pyannote[1715].end 9746.60909375
transcript.pyannote[1716].speaker SPEAKER_00
transcript.pyannote[1716].start 9770.77409375
transcript.pyannote[1716].end 9773.64284375
transcript.pyannote[1717].speaker SPEAKER_00
transcript.pyannote[1717].start 9773.69346875
transcript.pyannote[1717].end 9774.41909375
transcript.pyannote[1718].speaker SPEAKER_00
transcript.pyannote[1718].start 9774.63846875
transcript.pyannote[1718].end 9774.70596875
transcript.pyannote[1719].speaker SPEAKER_18
transcript.pyannote[1719].start 9774.70596875
transcript.pyannote[1719].end 9775.34721875
transcript.pyannote[1720].speaker SPEAKER_42
transcript.pyannote[1720].start 9777.50721875
transcript.pyannote[1720].end 9778.40159375
transcript.pyannote[1721].speaker SPEAKER_42
transcript.pyannote[1721].start 9780.71346875
transcript.pyannote[1721].end 9780.86534375
transcript.pyannote[1722].speaker SPEAKER_18
transcript.pyannote[1722].start 9780.94971875
transcript.pyannote[1722].end 9780.96659375
transcript.pyannote[1723].speaker SPEAKER_42
transcript.pyannote[1723].start 9780.96659375
transcript.pyannote[1723].end 9780.98346875
transcript.pyannote[1724].speaker SPEAKER_18
transcript.pyannote[1724].start 9780.98346875
transcript.pyannote[1724].end 9781.64159375
transcript.pyannote[1725].speaker SPEAKER_42
transcript.pyannote[1725].start 9781.64159375
transcript.pyannote[1725].end 9781.79346875
transcript.pyannote[1726].speaker SPEAKER_18
transcript.pyannote[1726].start 9781.79346875
transcript.pyannote[1726].end 9784.62846875
transcript.pyannote[1727].speaker SPEAKER_18
transcript.pyannote[1727].start 9788.40846875
transcript.pyannote[1727].end 9788.64471875
transcript.pyannote[1728].speaker SPEAKER_24
transcript.pyannote[1728].start 9803.59596875
transcript.pyannote[1728].end 9814.10909375
transcript.pyannote[1729].speaker SPEAKER_00
transcript.pyannote[1729].start 9808.47284375
transcript.pyannote[1729].end 9808.67534375
transcript.pyannote[1730].speaker SPEAKER_24
transcript.pyannote[1730].start 9814.19346875
transcript.pyannote[1730].end 9834.19034375
transcript.pyannote[1731].speaker SPEAKER_42
transcript.pyannote[1731].start 9820.50471875
transcript.pyannote[1731].end 9820.55534375
transcript.pyannote[1732].speaker SPEAKER_00
transcript.pyannote[1732].start 9820.55534375
transcript.pyannote[1732].end 9820.57221875
transcript.pyannote[1733].speaker SPEAKER_18
transcript.pyannote[1733].start 9830.79846875
transcript.pyannote[1733].end 9831.89534375
transcript.pyannote[1734].speaker SPEAKER_24
transcript.pyannote[1734].start 9834.42659375
transcript.pyannote[1734].end 9883.70159375
transcript.pyannote[1735].speaker SPEAKER_18
transcript.pyannote[1735].start 9883.19534375
transcript.pyannote[1735].end 9883.63409375
transcript.pyannote[1736].speaker SPEAKER_18
transcript.pyannote[1736].start 9883.70159375
transcript.pyannote[1736].end 9884.59596875
transcript.pyannote[1737].speaker SPEAKER_24
transcript.pyannote[1737].start 9884.59596875
transcript.pyannote[1737].end 9884.61284375
transcript.pyannote[1738].speaker SPEAKER_18
transcript.pyannote[1738].start 9884.61284375
transcript.pyannote[1738].end 9884.66346875
transcript.pyannote[1739].speaker SPEAKER_24
transcript.pyannote[1739].start 9884.66346875
transcript.pyannote[1739].end 9884.68034375
transcript.pyannote[1740].speaker SPEAKER_18
transcript.pyannote[1740].start 9884.68034375
transcript.pyannote[1740].end 9889.57409375
transcript.pyannote[1741].speaker SPEAKER_24
transcript.pyannote[1741].start 9884.69721875
transcript.pyannote[1741].end 9885.23721875
transcript.pyannote[1742].speaker SPEAKER_24
transcript.pyannote[1742].start 9886.68846875
transcript.pyannote[1742].end 9889.38846875
transcript.pyannote[1743].speaker SPEAKER_18
transcript.pyannote[1743].start 9891.22784375
transcript.pyannote[1743].end 9893.97846875
transcript.pyannote[1744].speaker SPEAKER_24
transcript.pyannote[1744].start 9891.91971875
transcript.pyannote[1744].end 9921.19784375
transcript.pyannote[1745].speaker SPEAKER_47
transcript.pyannote[1745].start 9893.97846875
transcript.pyannote[1745].end 9894.06284375
transcript.pyannote[1746].speaker SPEAKER_18
transcript.pyannote[1746].start 9894.06284375
transcript.pyannote[1746].end 9894.97409375
transcript.pyannote[1747].speaker SPEAKER_18
transcript.pyannote[1747].start 9916.25346875
transcript.pyannote[1747].end 9917.41784375
transcript.pyannote[1748].speaker SPEAKER_18
transcript.pyannote[1748].start 9920.47221875
transcript.pyannote[1748].end 9921.09659375
transcript.pyannote[1749].speaker SPEAKER_18
transcript.pyannote[1749].start 9921.19784375
transcript.pyannote[1749].end 9925.82159375
transcript.pyannote[1750].speaker SPEAKER_47
transcript.pyannote[1750].start 9924.99471875
transcript.pyannote[1750].end 9925.11284375
transcript.pyannote[1751].speaker SPEAKER_24
transcript.pyannote[1751].start 9925.36596875
transcript.pyannote[1751].end 9925.50096875
transcript.pyannote[1752].speaker SPEAKER_24
transcript.pyannote[1752].start 9925.70346875
transcript.pyannote[1752].end 9925.72034375
transcript.pyannote[1753].speaker SPEAKER_24
transcript.pyannote[1753].start 9925.82159375
transcript.pyannote[1753].end 9925.90596875
transcript.pyannote[1754].speaker SPEAKER_18
transcript.pyannote[1754].start 9925.90596875
transcript.pyannote[1754].end 9926.02409375
transcript.pyannote[1755].speaker SPEAKER_37
transcript.pyannote[1755].start 9926.02409375
transcript.pyannote[1755].end 9926.09159375
transcript.pyannote[1756].speaker SPEAKER_47
transcript.pyannote[1756].start 9926.20971875
transcript.pyannote[1756].end 9928.99409375
transcript.pyannote[1757].speaker SPEAKER_37
transcript.pyannote[1757].start 9928.11659375
transcript.pyannote[1757].end 9980.26034375
transcript.pyannote[1758].speaker SPEAKER_00
transcript.pyannote[1758].start 9950.71221875
transcript.pyannote[1758].end 9951.47159375
transcript.pyannote[1759].speaker SPEAKER_00
transcript.pyannote[1759].start 9953.80034375
transcript.pyannote[1759].end 9954.07034375
transcript.pyannote[1760].speaker SPEAKER_00
transcript.pyannote[1760].start 9954.55971875
transcript.pyannote[1760].end 9954.82971875
transcript.pyannote[1761].speaker SPEAKER_47
transcript.pyannote[1761].start 9980.56409375
transcript.pyannote[1761].end 9993.11909375
transcript.pyannote[1762].speaker SPEAKER_47
transcript.pyannote[1762].start 9993.52409375
transcript.pyannote[1762].end 9994.85721875
transcript.pyannote[1763].speaker SPEAKER_47
transcript.pyannote[1763].start 9995.22846875
transcript.pyannote[1763].end 9998.14784375
transcript.pyannote[1764].speaker SPEAKER_47
transcript.pyannote[1764].start 9998.70471875
transcript.pyannote[1764].end 9999.70034375
transcript.pyannote[1765].speaker SPEAKER_47
transcript.pyannote[1765].start 10000.15596875
transcript.pyannote[1765].end 10000.49346875
transcript.pyannote[1766].speaker SPEAKER_47
transcript.pyannote[1766].start 10000.71284375
transcript.pyannote[1766].end 10001.60721875
transcript.pyannote[1767].speaker SPEAKER_47
transcript.pyannote[1767].start 10001.99534375
transcript.pyannote[1767].end 10006.68659375
transcript.pyannote[1768].speaker SPEAKER_47
transcript.pyannote[1768].start 10007.49659375
transcript.pyannote[1768].end 10013.30159375
transcript.pyannote[1769].speaker SPEAKER_47
transcript.pyannote[1769].start 10013.38596875
transcript.pyannote[1769].end 10016.10284375
transcript.pyannote[1770].speaker SPEAKER_47
transcript.pyannote[1770].start 10016.42346875
transcript.pyannote[1770].end 10019.52846875
transcript.pyannote[1771].speaker SPEAKER_47
transcript.pyannote[1771].start 10019.81534375
transcript.pyannote[1771].end 10022.80221875
transcript.pyannote[1772].speaker SPEAKER_47
transcript.pyannote[1772].start 10023.25784375
transcript.pyannote[1772].end 10028.30346875
transcript.pyannote[1773].speaker SPEAKER_47
transcript.pyannote[1773].start 10028.57346875
transcript.pyannote[1773].end 10029.19784375
transcript.pyannote[1774].speaker SPEAKER_47
transcript.pyannote[1774].start 10029.82221875
transcript.pyannote[1774].end 10034.27721875
transcript.pyannote[1775].speaker SPEAKER_47
transcript.pyannote[1775].start 10034.46284375
transcript.pyannote[1775].end 10036.33596875
transcript.pyannote[1776].speaker SPEAKER_47
transcript.pyannote[1776].start 10037.14596875
transcript.pyannote[1776].end 10048.41846875
transcript.pyannote[1777].speaker SPEAKER_47
transcript.pyannote[1777].start 10050.40971875
transcript.pyannote[1777].end 10053.39659375
transcript.pyannote[1778].speaker SPEAKER_25
transcript.pyannote[1778].start 10054.71284375
transcript.pyannote[1778].end 10087.23096875
transcript.pyannote[1779].speaker SPEAKER_47
transcript.pyannote[1779].start 10089.17159375
transcript.pyannote[1779].end 10091.39909375
transcript.pyannote[1780].speaker SPEAKER_25
transcript.pyannote[1780].start 10091.58471875
transcript.pyannote[1780].end 10091.61846875
transcript.pyannote[1781].speaker SPEAKER_30
transcript.pyannote[1781].start 10091.61846875
transcript.pyannote[1781].end 10114.43346875
transcript.pyannote[1782].speaker SPEAKER_47
transcript.pyannote[1782].start 10114.80471875
transcript.pyannote[1782].end 10118.11221875
transcript.pyannote[1783].speaker SPEAKER_21
transcript.pyannote[1783].start 10118.85471875
transcript.pyannote[1783].end 10126.11096875
transcript.pyannote[1784].speaker SPEAKER_47
transcript.pyannote[1784].start 10128.54096875
transcript.pyannote[1784].end 10131.76409375
transcript.pyannote[1785].speaker SPEAKER_47
transcript.pyannote[1785].start 10133.02971875
transcript.pyannote[1785].end 10142.96909375
transcript.pyannote[1786].speaker SPEAKER_07
transcript.pyannote[1786].start 10144.57221875
transcript.pyannote[1786].end 10144.94346875
transcript.pyannote[1787].speaker SPEAKER_07
transcript.pyannote[1787].start 10146.34409375
transcript.pyannote[1787].end 10154.76471875
transcript.pyannote[1788].speaker SPEAKER_07
transcript.pyannote[1788].start 10155.16971875
transcript.pyannote[1788].end 10157.16096875
transcript.pyannote[1789].speaker SPEAKER_07
transcript.pyannote[1789].start 10157.75159375
transcript.pyannote[1789].end 10161.26159375
transcript.pyannote[1790].speaker SPEAKER_07
transcript.pyannote[1790].start 10161.88596875
transcript.pyannote[1790].end 10163.75909375
transcript.pyannote[1791].speaker SPEAKER_07
transcript.pyannote[1791].start 10164.14721875
transcript.pyannote[1791].end 10165.83471875
transcript.pyannote[1792].speaker SPEAKER_07
transcript.pyannote[1792].start 10166.12159375
transcript.pyannote[1792].end 10166.83034375
transcript.pyannote[1793].speaker SPEAKER_07
transcript.pyannote[1793].start 10167.33659375
transcript.pyannote[1793].end 10168.85534375
transcript.pyannote[1794].speaker SPEAKER_07
transcript.pyannote[1794].start 10169.56409375
transcript.pyannote[1794].end 10179.31784375
transcript.pyannote[1795].speaker SPEAKER_07
transcript.pyannote[1795].start 10180.02659375
transcript.pyannote[1795].end 10181.14034375
transcript.pyannote[1796].speaker SPEAKER_07
transcript.pyannote[1796].start 10181.57909375
transcript.pyannote[1796].end 10190.75909375
transcript.pyannote[1797].speaker SPEAKER_07
transcript.pyannote[1797].start 10191.51846875
transcript.pyannote[1797].end 10199.24721875
transcript.pyannote[1798].speaker SPEAKER_07
transcript.pyannote[1798].start 10199.82096875
transcript.pyannote[1798].end 10201.74471875
transcript.pyannote[1799].speaker SPEAKER_07
transcript.pyannote[1799].start 10202.14971875
transcript.pyannote[1799].end 10208.84909375
transcript.pyannote[1800].speaker SPEAKER_07
transcript.pyannote[1800].start 10209.00096875
transcript.pyannote[1800].end 10209.16971875
transcript.pyannote[1801].speaker SPEAKER_07
transcript.pyannote[1801].start 10209.81096875
transcript.pyannote[1801].end 10212.20721875
transcript.pyannote[1802].speaker SPEAKER_07
transcript.pyannote[1802].start 10212.67971875
transcript.pyannote[1802].end 10215.48096875
transcript.pyannote[1803].speaker SPEAKER_07
transcript.pyannote[1803].start 10215.68346875
transcript.pyannote[1803].end 10223.61471875
transcript.pyannote[1804].speaker SPEAKER_07
transcript.pyannote[1804].start 10224.34034375
transcript.pyannote[1804].end 10226.80409375
transcript.pyannote[1805].speaker SPEAKER_07
transcript.pyannote[1805].start 10227.22596875
transcript.pyannote[1805].end 10228.15409375
transcript.pyannote[1806].speaker SPEAKER_07
transcript.pyannote[1806].start 10228.76159375
transcript.pyannote[1806].end 10230.48284375
transcript.pyannote[1807].speaker SPEAKER_07
transcript.pyannote[1807].start 10231.03971875
transcript.pyannote[1807].end 10232.77784375
transcript.pyannote[1808].speaker SPEAKER_07
transcript.pyannote[1808].start 10233.18284375
transcript.pyannote[1808].end 10235.62971875
transcript.pyannote[1809].speaker SPEAKER_07
transcript.pyannote[1809].start 10235.96721875
transcript.pyannote[1809].end 10238.04284375
transcript.pyannote[1810].speaker SPEAKER_07
transcript.pyannote[1810].start 10238.26221875
transcript.pyannote[1810].end 10240.37159375
transcript.pyannote[1811].speaker SPEAKER_07
transcript.pyannote[1811].start 10241.08034375
transcript.pyannote[1811].end 10242.46409375
transcript.pyannote[1812].speaker SPEAKER_07
transcript.pyannote[1812].start 10242.78471875
transcript.pyannote[1812].end 10243.24034375
transcript.pyannote[1813].speaker SPEAKER_07
transcript.pyannote[1813].start 10243.40909375
transcript.pyannote[1813].end 10244.62409375
transcript.pyannote[1814].speaker SPEAKER_07
transcript.pyannote[1814].start 10244.99534375
transcript.pyannote[1814].end 10248.94409375
transcript.pyannote[1815].speaker SPEAKER_07
transcript.pyannote[1815].start 10249.75409375
transcript.pyannote[1815].end 10254.22596875
transcript.pyannote[1816].speaker SPEAKER_07
transcript.pyannote[1816].start 10254.39471875
transcript.pyannote[1816].end 10263.40596875
transcript.pyannote[1817].speaker SPEAKER_07
transcript.pyannote[1817].start 10264.19909375
transcript.pyannote[1817].end 10269.41346875
transcript.pyannote[1818].speaker SPEAKER_07
transcript.pyannote[1818].start 10270.27409375
transcript.pyannote[1818].end 10273.95284375
transcript.pyannote[1819].speaker SPEAKER_07
transcript.pyannote[1819].start 10274.30721875
transcript.pyannote[1819].end 10276.46721875
transcript.pyannote[1820].speaker SPEAKER_07
transcript.pyannote[1820].start 10276.82159375
transcript.pyannote[1820].end 10277.66534375
transcript.pyannote[1821].speaker SPEAKER_07
transcript.pyannote[1821].start 10278.54284375
transcript.pyannote[1821].end 10279.65659375
transcript.pyannote[1822].speaker SPEAKER_07
transcript.pyannote[1822].start 10279.79159375
transcript.pyannote[1822].end 10281.47909375
transcript.pyannote[1823].speaker SPEAKER_07
transcript.pyannote[1823].start 10281.83346875
transcript.pyannote[1823].end 10284.26346875
transcript.pyannote[1824].speaker SPEAKER_07
transcript.pyannote[1824].start 10284.66846875
transcript.pyannote[1824].end 10292.51534375
transcript.pyannote[1825].speaker SPEAKER_07
transcript.pyannote[1825].start 10293.12284375
transcript.pyannote[1825].end 10296.17721875
transcript.pyannote[1826].speaker SPEAKER_07
transcript.pyannote[1826].start 10296.91971875
transcript.pyannote[1826].end 10299.85596875
transcript.pyannote[1827].speaker SPEAKER_07
transcript.pyannote[1827].start 10300.56471875
transcript.pyannote[1827].end 10300.88534375
transcript.pyannote[1828].speaker SPEAKER_47
transcript.pyannote[1828].start 10304.44596875
transcript.pyannote[1828].end 10306.28534375
transcript.pyannote[1829].speaker SPEAKER_30
transcript.pyannote[1829].start 10306.52159375
transcript.pyannote[1829].end 10326.19784375
transcript.pyannote[1830].speaker SPEAKER_07
transcript.pyannote[1830].start 10328.61096875
transcript.pyannote[1830].end 10333.70721875
transcript.pyannote[1831].speaker SPEAKER_07
transcript.pyannote[1831].start 10334.70284375
transcript.pyannote[1831].end 10339.81596875
transcript.pyannote[1832].speaker SPEAKER_42
transcript.pyannote[1832].start 10334.82096875
transcript.pyannote[1832].end 10334.83784375
transcript.pyannote[1833].speaker SPEAKER_35
transcript.pyannote[1833].start 10334.83784375
transcript.pyannote[1833].end 10335.15846875
transcript.pyannote[1834].speaker SPEAKER_42
transcript.pyannote[1834].start 10335.83346875
transcript.pyannote[1834].end 10335.85034375
transcript.pyannote[1835].speaker SPEAKER_35
transcript.pyannote[1835].start 10335.85034375
transcript.pyannote[1835].end 10335.96846875
transcript.pyannote[1836].speaker SPEAKER_35
transcript.pyannote[1836].start 10336.06971875
transcript.pyannote[1836].end 10336.44096875
transcript.pyannote[1837].speaker SPEAKER_42
transcript.pyannote[1837].start 10336.44096875
transcript.pyannote[1837].end 10336.76159375
transcript.pyannote[1838].speaker SPEAKER_07
transcript.pyannote[1838].start 10340.84534375
transcript.pyannote[1838].end 10342.11096875
transcript.pyannote[1839].speaker SPEAKER_30
transcript.pyannote[1839].start 10342.63409375
transcript.pyannote[1839].end 10352.21909375
transcript.pyannote[1840].speaker SPEAKER_47
transcript.pyannote[1840].start 10353.06284375
transcript.pyannote[1840].end 10355.72909375
transcript.pyannote[1841].speaker SPEAKER_17
transcript.pyannote[1841].start 10357.21409375
transcript.pyannote[1841].end 10360.85909375
transcript.pyannote[1842].speaker SPEAKER_17
transcript.pyannote[1842].start 10361.34846875
transcript.pyannote[1842].end 10362.02346875
transcript.pyannote[1843].speaker SPEAKER_17
transcript.pyannote[1843].start 10362.58034375
transcript.pyannote[1843].end 10375.89471875
transcript.pyannote[1844].speaker SPEAKER_00
transcript.pyannote[1844].start 10373.31284375
transcript.pyannote[1844].end 10373.53221875
transcript.pyannote[1845].speaker SPEAKER_17
transcript.pyannote[1845].start 10376.48534375
transcript.pyannote[1845].end 10376.87346875
transcript.pyannote[1846].speaker SPEAKER_17
transcript.pyannote[1846].start 10378.27409375
transcript.pyannote[1846].end 10381.07534375
transcript.pyannote[1847].speaker SPEAKER_17
transcript.pyannote[1847].start 10381.17659375
transcript.pyannote[1847].end 10385.58096875
transcript.pyannote[1848].speaker SPEAKER_17
transcript.pyannote[1848].start 10385.80034375
transcript.pyannote[1848].end 10395.36846875
transcript.pyannote[1849].speaker SPEAKER_17
transcript.pyannote[1849].start 10395.87471875
transcript.pyannote[1849].end 10398.27096875
transcript.pyannote[1850].speaker SPEAKER_17
transcript.pyannote[1850].start 10398.65909375
transcript.pyannote[1850].end 10399.33409375
transcript.pyannote[1851].speaker SPEAKER_17
transcript.pyannote[1851].start 10399.46909375
transcript.pyannote[1851].end 10404.32909375
transcript.pyannote[1852].speaker SPEAKER_47
transcript.pyannote[1852].start 10406.42159375
transcript.pyannote[1852].end 10408.04159375
transcript.pyannote[1853].speaker SPEAKER_47
transcript.pyannote[1853].start 10408.80096875
transcript.pyannote[1853].end 10424.52846875
transcript.pyannote[1854].speaker SPEAKER_47
transcript.pyannote[1854].start 10424.88284375
transcript.pyannote[1854].end 10434.65346875
transcript.pyannote[1855].speaker SPEAKER_47
transcript.pyannote[1855].start 10434.67034375
transcript.pyannote[1855].end 10437.38721875
transcript.pyannote[1856].speaker SPEAKER_47
transcript.pyannote[1856].start 10437.80909375
transcript.pyannote[1856].end 10439.58096875
transcript.pyannote[1857].speaker SPEAKER_47
transcript.pyannote[1857].start 10439.93534375
transcript.pyannote[1857].end 10441.69034375
transcript.pyannote[1858].speaker SPEAKER_47
transcript.pyannote[1858].start 10442.14596875
transcript.pyannote[1858].end 10445.21721875
transcript.pyannote[1859].speaker SPEAKER_47
transcript.pyannote[1859].start 10446.11159375
transcript.pyannote[1859].end 10447.03971875
transcript.pyannote[1860].speaker SPEAKER_47
transcript.pyannote[1860].start 10447.42784375
transcript.pyannote[1860].end 10449.45284375
transcript.pyannote[1861].speaker SPEAKER_30
transcript.pyannote[1861].start 10449.57096875
transcript.pyannote[1861].end 10451.69721875
transcript.pyannote[1862].speaker SPEAKER_30
transcript.pyannote[1862].start 10452.25409375
transcript.pyannote[1862].end 10458.05909375
transcript.pyannote[1863].speaker SPEAKER_30
transcript.pyannote[1863].start 10458.46409375
transcript.pyannote[1863].end 10468.62284375
transcript.pyannote[1864].speaker SPEAKER_47
transcript.pyannote[1864].start 10469.65221875
transcript.pyannote[1864].end 10470.02346875
transcript.pyannote[1865].speaker SPEAKER_30
transcript.pyannote[1865].start 10470.49596875
transcript.pyannote[1865].end 10470.91784375
transcript.pyannote[1866].speaker SPEAKER_47
transcript.pyannote[1866].start 10470.91784375
transcript.pyannote[1866].end 10472.38596875
transcript.pyannote[1867].speaker SPEAKER_30
transcript.pyannote[1867].start 10470.96846875
transcript.pyannote[1867].end 10471.00221875
transcript.pyannote[1868].speaker SPEAKER_30
transcript.pyannote[1868].start 10471.45784375
transcript.pyannote[1868].end 10473.02721875
transcript.pyannote[1869].speaker SPEAKER_30
transcript.pyannote[1869].start 10473.61784375
transcript.pyannote[1869].end 10475.25471875
transcript.pyannote[1870].speaker SPEAKER_47
transcript.pyannote[1870].start 10477.27971875
transcript.pyannote[1870].end 10479.16971875
transcript.pyannote[1871].speaker SPEAKER_47
transcript.pyannote[1871].start 10479.82784375
transcript.pyannote[1871].end 10486.86471875
transcript.pyannote[1872].speaker SPEAKER_42
transcript.pyannote[1872].start 10487.42159375
transcript.pyannote[1872].end 10488.55221875
transcript.pyannote[1873].speaker SPEAKER_47
transcript.pyannote[1873].start 10487.77596875
transcript.pyannote[1873].end 10489.10909375
transcript.pyannote[1874].speaker SPEAKER_47
transcript.pyannote[1874].start 10490.88096875
transcript.pyannote[1874].end 10493.39534375
transcript.pyannote[1875].speaker SPEAKER_47
transcript.pyannote[1875].start 10496.98971875
transcript.pyannote[1875].end 10497.36096875
transcript.pyannote[1876].speaker SPEAKER_47
transcript.pyannote[1876].start 10499.11596875
transcript.pyannote[1876].end 10503.21659375
transcript.pyannote[1877].speaker SPEAKER_47
transcript.pyannote[1877].start 10503.40221875
transcript.pyannote[1877].end 10523.92221875
transcript.pyannote[1878].speaker SPEAKER_47
transcript.pyannote[1878].start 10523.93909375
transcript.pyannote[1878].end 10523.95596875
transcript.pyannote[1879].speaker SPEAKER_47
transcript.pyannote[1879].start 10524.49596875
transcript.pyannote[1879].end 10524.85034375
transcript.pyannote[1880].speaker SPEAKER_47
transcript.pyannote[1880].start 10526.38596875
transcript.pyannote[1880].end 10538.75534375
transcript.pyannote[1881].speaker SPEAKER_47
transcript.pyannote[1881].start 10539.73409375
transcript.pyannote[1881].end 10541.33721875
transcript.pyannote[1882].speaker SPEAKER_30
transcript.pyannote[1882].start 10541.91096875
transcript.pyannote[1882].end 10572.20159375
transcript.pyannote[1883].speaker SPEAKER_47
transcript.pyannote[1883].start 10573.38284375
transcript.pyannote[1883].end 10579.13721875
transcript.pyannote[1884].speaker SPEAKER_27
transcript.pyannote[1884].start 10579.32284375
transcript.pyannote[1884].end 10592.56971875
transcript.pyannote[1885].speaker SPEAKER_27
transcript.pyannote[1885].start 10593.05909375
transcript.pyannote[1885].end 10641.03471875
transcript.pyannote[1886].speaker SPEAKER_27
transcript.pyannote[1886].start 10641.22034375
transcript.pyannote[1886].end 10650.14721875
transcript.pyannote[1887].speaker SPEAKER_47
transcript.pyannote[1887].start 10651.42971875
transcript.pyannote[1887].end 10661.70659375
transcript.pyannote[1888].speaker SPEAKER_28
transcript.pyannote[1888].start 10661.94284375
transcript.pyannote[1888].end 10700.92409375
transcript.pyannote[1889].speaker SPEAKER_47
transcript.pyannote[1889].start 10703.26971875
transcript.pyannote[1889].end 10705.02471875
transcript.pyannote[1890].speaker SPEAKER_21
transcript.pyannote[1890].start 10704.80534375
transcript.pyannote[1890].end 10705.00784375
transcript.pyannote[1891].speaker SPEAKER_21
transcript.pyannote[1891].start 10705.02471875
transcript.pyannote[1891].end 10740.76596875
transcript.pyannote[1892].speaker SPEAKER_21
transcript.pyannote[1892].start 10740.83346875
transcript.pyannote[1892].end 10751.93721875
transcript.pyannote[1893].speaker SPEAKER_21
transcript.pyannote[1893].start 10752.20721875
transcript.pyannote[1893].end 10777.95846875
transcript.pyannote[1894].speaker SPEAKER_21
transcript.pyannote[1894].start 10778.17784375
transcript.pyannote[1894].end 10779.30846875
transcript.pyannote[1895].speaker SPEAKER_21
transcript.pyannote[1895].start 10779.66284375
transcript.pyannote[1895].end 10783.10534375
transcript.pyannote[1896].speaker SPEAKER_21
transcript.pyannote[1896].start 10783.59471875
transcript.pyannote[1896].end 10783.93221875
transcript.pyannote[1897].speaker SPEAKER_47
transcript.pyannote[1897].start 10785.21471875
transcript.pyannote[1897].end 10787.56034375
transcript.pyannote[1898].speaker SPEAKER_26
transcript.pyannote[1898].start 10788.16784375
transcript.pyannote[1898].end 10792.20096875
transcript.pyannote[1899].speaker SPEAKER_26
transcript.pyannote[1899].start 10793.04471875
transcript.pyannote[1899].end 10795.35659375
transcript.pyannote[1900].speaker SPEAKER_26
transcript.pyannote[1900].start 10796.01471875
transcript.pyannote[1900].end 10799.28846875
transcript.pyannote[1901].speaker SPEAKER_26
transcript.pyannote[1901].start 10799.54159375
transcript.pyannote[1901].end 10801.75221875
transcript.pyannote[1902].speaker SPEAKER_26
transcript.pyannote[1902].start 10802.46096875
transcript.pyannote[1902].end 10806.52784375
transcript.pyannote[1903].speaker SPEAKER_26
transcript.pyannote[1903].start 10806.98346875
transcript.pyannote[1903].end 10813.83471875
transcript.pyannote[1904].speaker SPEAKER_26
transcript.pyannote[1904].start 10814.72909375
transcript.pyannote[1904].end 10816.87221875
transcript.pyannote[1905].speaker SPEAKER_26
transcript.pyannote[1905].start 10817.76659375
transcript.pyannote[1905].end 10820.71971875
transcript.pyannote[1906].speaker SPEAKER_26
transcript.pyannote[1906].start 10821.41159375
transcript.pyannote[1906].end 10824.65159375
transcript.pyannote[1907].speaker SPEAKER_26
transcript.pyannote[1907].start 10825.64721875
transcript.pyannote[1907].end 10830.27096875
transcript.pyannote[1908].speaker SPEAKER_26
transcript.pyannote[1908].start 10830.69284375
transcript.pyannote[1908].end 10834.79346875
transcript.pyannote[1909].speaker SPEAKER_26
transcript.pyannote[1909].start 10835.80596875
transcript.pyannote[1909].end 10838.25284375
transcript.pyannote[1910].speaker SPEAKER_26
transcript.pyannote[1910].start 10838.75909375
transcript.pyannote[1910].end 10841.23971875
transcript.pyannote[1911].speaker SPEAKER_26
transcript.pyannote[1911].start 10842.11721875
transcript.pyannote[1911].end 10843.39971875
transcript.pyannote[1912].speaker SPEAKER_26
transcript.pyannote[1912].start 10843.66971875
transcript.pyannote[1912].end 10843.70346875
transcript.pyannote[1913].speaker SPEAKER_26
transcript.pyannote[1913].start 10844.54721875
transcript.pyannote[1913].end 10849.18784375
transcript.pyannote[1914].speaker SPEAKER_26
transcript.pyannote[1914].start 10849.81221875
transcript.pyannote[1914].end 10857.64221875
transcript.pyannote[1915].speaker SPEAKER_26
transcript.pyannote[1915].start 10858.01346875
transcript.pyannote[1915].end 10863.26159375
transcript.pyannote[1916].speaker SPEAKER_26
transcript.pyannote[1916].start 10863.90284375
transcript.pyannote[1916].end 10870.85534375
transcript.pyannote[1917].speaker SPEAKER_26
transcript.pyannote[1917].start 10871.51346875
transcript.pyannote[1917].end 10873.31909375
transcript.pyannote[1918].speaker SPEAKER_26
transcript.pyannote[1918].start 10873.48784375
transcript.pyannote[1918].end 10875.56346875
transcript.pyannote[1919].speaker SPEAKER_26
transcript.pyannote[1919].start 10875.95159375
transcript.pyannote[1919].end 10878.29721875
transcript.pyannote[1920].speaker SPEAKER_26
transcript.pyannote[1920].start 10878.88784375
transcript.pyannote[1920].end 10880.67659375
transcript.pyannote[1921].speaker SPEAKER_26
transcript.pyannote[1921].start 10881.11534375
transcript.pyannote[1921].end 10886.04284375
transcript.pyannote[1922].speaker SPEAKER_26
transcript.pyannote[1922].start 10886.53221875
transcript.pyannote[1922].end 10887.62909375
transcript.pyannote[1923].speaker SPEAKER_26
transcript.pyannote[1923].start 10888.05096875
transcript.pyannote[1923].end 10888.89471875
transcript.pyannote[1924].speaker SPEAKER_26
transcript.pyannote[1924].start 10889.77221875
transcript.pyannote[1924].end 10892.21909375
transcript.pyannote[1925].speaker SPEAKER_26
transcript.pyannote[1925].start 10892.91096875
transcript.pyannote[1925].end 10897.43346875
transcript.pyannote[1926].speaker SPEAKER_26
transcript.pyannote[1926].start 10897.90596875
transcript.pyannote[1926].end 10899.86346875
transcript.pyannote[1927].speaker SPEAKER_26
transcript.pyannote[1927].start 10900.28534375
transcript.pyannote[1927].end 10909.78596875
transcript.pyannote[1928].speaker SPEAKER_26
transcript.pyannote[1928].start 10910.32596875
transcript.pyannote[1928].end 10914.10596875
transcript.pyannote[1929].speaker SPEAKER_26
transcript.pyannote[1929].start 10914.54471875
transcript.pyannote[1929].end 10916.11409375
transcript.pyannote[1930].speaker SPEAKER_26
transcript.pyannote[1930].start 10916.29971875
transcript.pyannote[1930].end 10920.75471875
transcript.pyannote[1931].speaker SPEAKER_26
transcript.pyannote[1931].start 10921.85159375
transcript.pyannote[1931].end 10925.02409375
transcript.pyannote[1932].speaker SPEAKER_26
transcript.pyannote[1932].start 10925.64846875
transcript.pyannote[1932].end 10932.60096875
transcript.pyannote[1933].speaker SPEAKER_26
transcript.pyannote[1933].start 10933.57971875
transcript.pyannote[1933].end 10934.10284375
transcript.pyannote[1934].speaker SPEAKER_26
transcript.pyannote[1934].start 10934.49096875
transcript.pyannote[1934].end 10935.70596875
transcript.pyannote[1935].speaker SPEAKER_26
transcript.pyannote[1935].start 10935.87471875
transcript.pyannote[1935].end 10936.90409375
transcript.pyannote[1936].speaker SPEAKER_26
transcript.pyannote[1936].start 10937.76471875
transcript.pyannote[1936].end 10943.46846875
transcript.pyannote[1937].speaker SPEAKER_26
transcript.pyannote[1937].start 10944.48096875
transcript.pyannote[1937].end 10950.30284375
transcript.pyannote[1938].speaker SPEAKER_26
transcript.pyannote[1938].start 10950.79221875
transcript.pyannote[1938].end 10952.17596875
transcript.pyannote[1939].speaker SPEAKER_26
transcript.pyannote[1939].start 10952.56409375
transcript.pyannote[1939].end 10961.49096875
transcript.pyannote[1940].speaker SPEAKER_26
transcript.pyannote[1940].start 10962.31784375
transcript.pyannote[1940].end 10963.48221875
transcript.pyannote[1941].speaker SPEAKER_26
transcript.pyannote[1941].start 10963.97159375
transcript.pyannote[1941].end 10967.54909375
transcript.pyannote[1942].speaker SPEAKER_26
transcript.pyannote[1942].start 10967.97096875
transcript.pyannote[1942].end 10969.65846875
transcript.pyannote[1943].speaker SPEAKER_26
transcript.pyannote[1943].start 10970.19846875
transcript.pyannote[1943].end 10972.07159375
transcript.pyannote[1944].speaker SPEAKER_26
transcript.pyannote[1944].start 10972.32471875
transcript.pyannote[1944].end 10974.72096875
transcript.pyannote[1945].speaker SPEAKER_26
transcript.pyannote[1945].start 10975.75034375
transcript.pyannote[1945].end 10978.31534375
transcript.pyannote[1946].speaker SPEAKER_26
transcript.pyannote[1946].start 10978.75409375
transcript.pyannote[1946].end 10984.05284375
transcript.pyannote[1947].speaker SPEAKER_26
transcript.pyannote[1947].start 10984.49159375
transcript.pyannote[1947].end 10989.62159375
transcript.pyannote[1948].speaker SPEAKER_26
transcript.pyannote[1948].start 10990.09409375
transcript.pyannote[1948].end 10991.41034375
transcript.pyannote[1949].speaker SPEAKER_26
transcript.pyannote[1949].start 10991.76471875
transcript.pyannote[1949].end 10994.59971875
transcript.pyannote[1950].speaker SPEAKER_26
transcript.pyannote[1950].start 10995.49409375
transcript.pyannote[1950].end 10997.63721875
transcript.pyannote[1951].speaker SPEAKER_26
transcript.pyannote[1951].start 10997.92409375
transcript.pyannote[1951].end 11002.04159375
transcript.pyannote[1952].speaker SPEAKER_26
transcript.pyannote[1952].start 11002.37909375
transcript.pyannote[1952].end 11005.01159375
transcript.pyannote[1953].speaker SPEAKER_26
transcript.pyannote[1953].start 11005.72034375
transcript.pyannote[1953].end 11009.85471875
transcript.pyannote[1954].speaker SPEAKER_26
transcript.pyannote[1954].start 11010.32721875
transcript.pyannote[1954].end 11010.91784375
transcript.pyannote[1955].speaker SPEAKER_26
transcript.pyannote[1955].start 11011.59284375
transcript.pyannote[1955].end 11014.98471875
transcript.pyannote[1956].speaker SPEAKER_26
transcript.pyannote[1956].start 11015.79471875
transcript.pyannote[1956].end 11019.16971875
transcript.pyannote[1957].speaker SPEAKER_26
transcript.pyannote[1957].start 11019.59159375
transcript.pyannote[1957].end 11025.73409375
transcript.pyannote[1958].speaker SPEAKER_26
transcript.pyannote[1958].start 11025.97034375
transcript.pyannote[1958].end 11029.24409375
transcript.pyannote[1959].speaker SPEAKER_26
transcript.pyannote[1959].start 11029.27784375
transcript.pyannote[1959].end 11032.56846875
transcript.pyannote[1960].speaker SPEAKER_26
transcript.pyannote[1960].start 11033.14221875
transcript.pyannote[1960].end 11036.41596875
transcript.pyannote[1961].speaker SPEAKER_47
transcript.pyannote[1961].start 11036.58471875
transcript.pyannote[1961].end 11041.02284375
transcript.pyannote[1962].speaker SPEAKER_43
transcript.pyannote[1962].start 11041.02284375
transcript.pyannote[1962].end 11089.08284375
transcript.pyannote[1963].speaker SPEAKER_43
transcript.pyannote[1963].start 11089.16721875
transcript.pyannote[1963].end 11153.44409375
transcript.pyannote[1964].speaker SPEAKER_43
transcript.pyannote[1964].start 11154.00096875
transcript.pyannote[1964].end 11188.39221875
transcript.pyannote[1965].speaker SPEAKER_43
transcript.pyannote[1965].start 11189.01659375
transcript.pyannote[1965].end 11205.84096875
transcript.pyannote[1966].speaker SPEAKER_43
transcript.pyannote[1966].start 11205.95909375
transcript.pyannote[1966].end 11227.52534375
transcript.pyannote[1967].speaker SPEAKER_43
transcript.pyannote[1967].start 11228.01471875
transcript.pyannote[1967].end 11250.74534375
transcript.pyannote[1968].speaker SPEAKER_43
transcript.pyannote[1968].start 11251.52159375
transcript.pyannote[1968].end 11253.39471875
transcript.pyannote[1969].speaker SPEAKER_43
transcript.pyannote[1969].start 11253.71534375
transcript.pyannote[1969].end 11258.03534375
transcript.pyannote[1970].speaker SPEAKER_43
transcript.pyannote[1970].start 11258.71034375
transcript.pyannote[1970].end 11310.88784375
transcript.pyannote[1971].speaker SPEAKER_43
transcript.pyannote[1971].start 11311.73159375
transcript.pyannote[1971].end 11354.32409375
transcript.pyannote[1972].speaker SPEAKER_43
transcript.pyannote[1972].start 11355.13409375
transcript.pyannote[1972].end 11417.36909375
transcript.pyannote[1973].speaker SPEAKER_43
transcript.pyannote[1973].start 11417.60534375
transcript.pyannote[1973].end 11428.13534375
transcript.pyannote[1974].speaker SPEAKER_47
transcript.pyannote[1974].start 11428.13534375
transcript.pyannote[1974].end 11428.55721875
transcript.pyannote[1975].speaker SPEAKER_47
transcript.pyannote[1975].start 11429.29971875
transcript.pyannote[1975].end 11435.56034375
transcript.pyannote[1976].speaker SPEAKER_26
transcript.pyannote[1976].start 11435.93159375
transcript.pyannote[1976].end 11437.48409375
transcript.pyannote[1977].speaker SPEAKER_26
transcript.pyannote[1977].start 11437.83846875
transcript.pyannote[1977].end 11440.42034375
transcript.pyannote[1978].speaker SPEAKER_26
transcript.pyannote[1978].start 11440.96034375
transcript.pyannote[1978].end 11444.21721875
transcript.pyannote[1979].speaker SPEAKER_26
transcript.pyannote[1979].start 11444.80784375
transcript.pyannote[1979].end 11445.26346875
transcript.pyannote[1980].speaker SPEAKER_26
transcript.pyannote[1980].start 11445.80346875
transcript.pyannote[1980].end 11450.37659375
transcript.pyannote[1981].speaker SPEAKER_26
transcript.pyannote[1981].start 11450.88284375
transcript.pyannote[1981].end 11453.97096875
transcript.pyannote[1982].speaker SPEAKER_26
transcript.pyannote[1982].start 11454.35909375
transcript.pyannote[1982].end 11457.17721875
transcript.pyannote[1983].speaker SPEAKER_26
transcript.pyannote[1983].start 11457.34596875
transcript.pyannote[1983].end 11460.26534375
transcript.pyannote[1984].speaker SPEAKER_26
transcript.pyannote[1984].start 11460.50159375
transcript.pyannote[1984].end 11461.00784375
transcript.pyannote[1985].speaker SPEAKER_26
transcript.pyannote[1985].start 11461.49721875
transcript.pyannote[1985].end 11465.61471875
transcript.pyannote[1986].speaker SPEAKER_26
transcript.pyannote[1986].start 11466.22221875
transcript.pyannote[1986].end 11468.46659375
transcript.pyannote[1987].speaker SPEAKER_26
transcript.pyannote[1987].start 11469.09096875
transcript.pyannote[1987].end 11469.88409375
transcript.pyannote[1988].speaker SPEAKER_26
transcript.pyannote[1988].start 11470.08659375
transcript.pyannote[1988].end 11472.97221875
transcript.pyannote[1989].speaker SPEAKER_26
transcript.pyannote[1989].start 11473.49534375
transcript.pyannote[1989].end 11478.92909375
transcript.pyannote[1990].speaker SPEAKER_26
transcript.pyannote[1990].start 11479.80659375
transcript.pyannote[1990].end 11482.11846875
transcript.pyannote[1991].speaker SPEAKER_26
transcript.pyannote[1991].start 11482.33784375
transcript.pyannote[1991].end 11489.71221875
transcript.pyannote[1992].speaker SPEAKER_26
transcript.pyannote[1992].start 11490.33659375
transcript.pyannote[1992].end 11492.93534375
transcript.pyannote[1993].speaker SPEAKER_26
transcript.pyannote[1993].start 11493.25596875
transcript.pyannote[1993].end 11498.13284375
transcript.pyannote[1994].speaker SPEAKER_26
transcript.pyannote[1994].start 11498.58846875
transcript.pyannote[1994].end 11499.07784375
transcript.pyannote[1995].speaker SPEAKER_26
transcript.pyannote[1995].start 11499.58409375
transcript.pyannote[1995].end 11501.64284375
transcript.pyannote[1996].speaker SPEAKER_26
transcript.pyannote[1996].start 11502.48659375
transcript.pyannote[1996].end 11507.93721875
transcript.pyannote[1997].speaker SPEAKER_26
transcript.pyannote[1997].start 11508.74721875
transcript.pyannote[1997].end 11511.70034375
transcript.pyannote[1998].speaker SPEAKER_26
transcript.pyannote[1998].start 11512.39221875
transcript.pyannote[1998].end 11519.09159375
transcript.pyannote[1999].speaker SPEAKER_26
transcript.pyannote[1999].start 11519.37846875
transcript.pyannote[1999].end 11523.59721875
transcript.pyannote[2000].speaker SPEAKER_26
transcript.pyannote[2000].start 11524.32284375
transcript.pyannote[2000].end 11532.57471875
transcript.pyannote[2001].speaker SPEAKER_26
transcript.pyannote[2001].start 11533.21596875
transcript.pyannote[2001].end 11536.54034375
transcript.pyannote[2002].speaker SPEAKER_26
transcript.pyannote[2002].start 11537.02971875
transcript.pyannote[2002].end 11540.97846875
transcript.pyannote[2003].speaker SPEAKER_26
transcript.pyannote[2003].start 11541.41721875
transcript.pyannote[2003].end 11546.68221875
transcript.pyannote[2004].speaker SPEAKER_26
transcript.pyannote[2004].start 11547.77909375
transcript.pyannote[2004].end 11569.54784375
transcript.pyannote[2005].speaker SPEAKER_26
transcript.pyannote[2005].start 11569.61534375
transcript.pyannote[2005].end 11570.64471875
transcript.pyannote[2006].speaker SPEAKER_26
transcript.pyannote[2006].start 11570.84721875
transcript.pyannote[2006].end 11582.79471875
transcript.pyannote[2007].speaker SPEAKER_26
transcript.pyannote[2007].start 11582.82846875
transcript.pyannote[2007].end 11585.44409375
transcript.pyannote[2008].speaker SPEAKER_26
transcript.pyannote[2008].start 11585.71409375
transcript.pyannote[2008].end 11587.89096875
transcript.pyannote[2009].speaker SPEAKER_47
transcript.pyannote[2009].start 11588.05971875
transcript.pyannote[2009].end 11591.18159375
transcript.pyannote[2010].speaker SPEAKER_15
transcript.pyannote[2010].start 11591.26596875
transcript.pyannote[2010].end 11649.85596875
transcript.pyannote[2011].speaker SPEAKER_15
transcript.pyannote[2011].start 11650.26096875
transcript.pyannote[2011].end 11651.74596875
transcript.pyannote[2012].speaker SPEAKER_15
transcript.pyannote[2012].start 11652.15096875
transcript.pyannote[2012].end 11656.03221875
transcript.pyannote[2013].speaker SPEAKER_15
transcript.pyannote[2013].start 11656.04909375
transcript.pyannote[2013].end 11657.07846875
transcript.pyannote[2014].speaker SPEAKER_15
transcript.pyannote[2014].start 11657.34846875
transcript.pyannote[2014].end 11664.45284375
transcript.pyannote[2015].speaker SPEAKER_15
transcript.pyannote[2015].start 11665.19534375
transcript.pyannote[2015].end 11676.24846875
transcript.pyannote[2016].speaker SPEAKER_15
transcript.pyannote[2016].start 11676.51846875
transcript.pyannote[2016].end 11679.33659375
transcript.pyannote[2017].speaker SPEAKER_15
transcript.pyannote[2017].start 11679.92721875
transcript.pyannote[2017].end 11681.42909375
transcript.pyannote[2018].speaker SPEAKER_15
transcript.pyannote[2018].start 11682.23909375
transcript.pyannote[2018].end 11685.19221875
transcript.pyannote[2019].speaker SPEAKER_15
transcript.pyannote[2019].start 11685.41159375
transcript.pyannote[2019].end 11688.92159375
transcript.pyannote[2020].speaker SPEAKER_15
transcript.pyannote[2020].start 11688.97221875
transcript.pyannote[2020].end 11706.28596875
transcript.pyannote[2021].speaker SPEAKER_15
transcript.pyannote[2021].start 11706.79221875
transcript.pyannote[2021].end 11708.44596875
transcript.pyannote[2022].speaker SPEAKER_15
transcript.pyannote[2022].start 11709.22221875
transcript.pyannote[2022].end 11727.61596875
transcript.pyannote[2023].speaker SPEAKER_15
transcript.pyannote[2023].start 11727.93659375
transcript.pyannote[2023].end 11730.67034375
transcript.pyannote[2024].speaker SPEAKER_15
transcript.pyannote[2024].start 11731.12596875
transcript.pyannote[2024].end 11732.18909375
transcript.pyannote[2025].speaker SPEAKER_15
transcript.pyannote[2025].start 11732.52659375
transcript.pyannote[2025].end 11733.62346875
transcript.pyannote[2026].speaker SPEAKER_15
transcript.pyannote[2026].start 11733.99471875
transcript.pyannote[2026].end 11734.56846875
transcript.pyannote[2027].speaker SPEAKER_15
transcript.pyannote[2027].start 11735.22659375
transcript.pyannote[2027].end 11751.57846875
transcript.pyannote[2028].speaker SPEAKER_15
transcript.pyannote[2028].start 11752.30409375
transcript.pyannote[2028].end 11760.25221875
transcript.pyannote[2029].speaker SPEAKER_15
transcript.pyannote[2029].start 11760.82596875
transcript.pyannote[2029].end 11762.59784375
transcript.pyannote[2030].speaker SPEAKER_15
transcript.pyannote[2030].start 11763.77909375
transcript.pyannote[2030].end 11770.93409375
transcript.pyannote[2031].speaker SPEAKER_15
transcript.pyannote[2031].start 11771.37284375
transcript.pyannote[2031].end 11772.60471875
transcript.pyannote[2032].speaker SPEAKER_15
transcript.pyannote[2032].start 11773.04346875
transcript.pyannote[2032].end 11773.43159375
transcript.pyannote[2033].speaker SPEAKER_15
transcript.pyannote[2033].start 11773.81971875
transcript.pyannote[2033].end 11774.88284375
transcript.pyannote[2034].speaker SPEAKER_15
transcript.pyannote[2034].start 11775.22034375
transcript.pyannote[2034].end 11782.61159375
transcript.pyannote[2035].speaker SPEAKER_15
transcript.pyannote[2035].start 11782.89846875
transcript.pyannote[2035].end 11783.25284375
transcript.pyannote[2036].speaker SPEAKER_15
transcript.pyannote[2036].start 11784.11346875
transcript.pyannote[2036].end 11786.42534375
transcript.pyannote[2037].speaker SPEAKER_15
transcript.pyannote[2037].start 11786.81346875
transcript.pyannote[2037].end 11789.76659375
transcript.pyannote[2038].speaker SPEAKER_15
transcript.pyannote[2038].start 11790.39096875
transcript.pyannote[2038].end 11795.06534375
transcript.pyannote[2039].speaker SPEAKER_15
transcript.pyannote[2039].start 11795.72346875
transcript.pyannote[2039].end 11796.19596875
transcript.pyannote[2040].speaker SPEAKER_15
transcript.pyannote[2040].start 11796.75284375
transcript.pyannote[2040].end 11798.49096875
transcript.pyannote[2041].speaker SPEAKER_15
transcript.pyannote[2041].start 11798.99721875
transcript.pyannote[2041].end 11800.44846875
transcript.pyannote[2042].speaker SPEAKER_15
transcript.pyannote[2042].start 11801.02221875
transcript.pyannote[2042].end 11802.27096875
transcript.pyannote[2043].speaker SPEAKER_15
transcript.pyannote[2043].start 11802.50721875
transcript.pyannote[2043].end 11803.72221875
transcript.pyannote[2044].speaker SPEAKER_15
transcript.pyannote[2044].start 11804.21159375
transcript.pyannote[2044].end 11816.19284375
transcript.pyannote[2045].speaker SPEAKER_15
transcript.pyannote[2045].start 11816.73284375
transcript.pyannote[2045].end 11817.13784375
transcript.pyannote[2046].speaker SPEAKER_15
transcript.pyannote[2046].start 11817.27284375
transcript.pyannote[2046].end 11821.89659375
transcript.pyannote[2047].speaker SPEAKER_15
transcript.pyannote[2047].start 11822.53784375
transcript.pyannote[2047].end 11823.70221875
transcript.pyannote[2048].speaker SPEAKER_15
transcript.pyannote[2048].start 11823.90471875
transcript.pyannote[2048].end 11835.93659375
transcript.pyannote[2049].speaker SPEAKER_15
transcript.pyannote[2049].start 11836.24034375
transcript.pyannote[2049].end 11836.94909375
transcript.pyannote[2050].speaker SPEAKER_15
transcript.pyannote[2050].start 11837.20221875
transcript.pyannote[2050].end 11841.45471875
transcript.pyannote[2051].speaker SPEAKER_15
transcript.pyannote[2051].start 11841.96096875
transcript.pyannote[2051].end 11850.60096875
transcript.pyannote[2052].speaker SPEAKER_15
transcript.pyannote[2052].start 11851.03971875
transcript.pyannote[2052].end 11878.86659375
transcript.pyannote[2053].speaker SPEAKER_15
transcript.pyannote[2053].start 11879.79471875
transcript.pyannote[2053].end 11880.43596875
transcript.pyannote[2054].speaker SPEAKER_47
transcript.pyannote[2054].start 11881.63409375
transcript.pyannote[2054].end 11885.58284375
transcript.pyannote[2055].speaker SPEAKER_25
transcript.pyannote[2055].start 11888.51909375
transcript.pyannote[2055].end 12012.88784375
transcript.pyannote[2056].speaker SPEAKER_47
transcript.pyannote[2056].start 12012.97221875
transcript.pyannote[2056].end 12016.78596875
transcript.pyannote[2057].speaker SPEAKER_26
transcript.pyannote[2057].start 12021.07221875
transcript.pyannote[2057].end 12021.94971875
transcript.pyannote[2058].speaker SPEAKER_26
transcript.pyannote[2058].start 12022.30409375
transcript.pyannote[2058].end 12024.26159375
transcript.pyannote[2059].speaker SPEAKER_26
transcript.pyannote[2059].start 12024.91971875
transcript.pyannote[2059].end 12031.63596875
transcript.pyannote[2060].speaker SPEAKER_26
transcript.pyannote[2060].start 12031.93971875
transcript.pyannote[2060].end 12033.37409375
transcript.pyannote[2061].speaker SPEAKER_26
transcript.pyannote[2061].start 12033.57659375
transcript.pyannote[2061].end 12039.09471875
transcript.pyannote[2062].speaker SPEAKER_26
transcript.pyannote[2062].start 12039.80346875
transcript.pyannote[2062].end 12040.54596875
transcript.pyannote[2063].speaker SPEAKER_26
transcript.pyannote[2063].start 12040.86659375
transcript.pyannote[2063].end 12047.51534375
transcript.pyannote[2064].speaker SPEAKER_26
transcript.pyannote[2064].start 12048.56159375
transcript.pyannote[2064].end 12052.84784375
transcript.pyannote[2065].speaker SPEAKER_26
transcript.pyannote[2065].start 12053.28659375
transcript.pyannote[2065].end 12056.29034375
transcript.pyannote[2066].speaker SPEAKER_26
transcript.pyannote[2066].start 12056.88096875
transcript.pyannote[2066].end 12059.91846875
transcript.pyannote[2067].speaker SPEAKER_26
transcript.pyannote[2067].start 12060.62721875
transcript.pyannote[2067].end 12068.15346875
transcript.pyannote[2068].speaker SPEAKER_26
transcript.pyannote[2068].start 12068.67659375
transcript.pyannote[2068].end 12071.00534375
transcript.pyannote[2069].speaker SPEAKER_47
transcript.pyannote[2069].start 12071.51159375
transcript.pyannote[2069].end 12086.81721875
transcript.pyannote[2070].speaker SPEAKER_47
transcript.pyannote[2070].start 12087.03659375
transcript.pyannote[2070].end 12089.31471875
transcript.pyannote[2071].speaker SPEAKER_47
transcript.pyannote[2071].start 12089.77034375
transcript.pyannote[2071].end 12102.29159375
transcript.pyannote[2072].speaker SPEAKER_47
transcript.pyannote[2072].start 12102.37596875
transcript.pyannote[2072].end 12108.07971875
transcript.pyannote[2073].speaker SPEAKER_47
transcript.pyannote[2073].start 12108.23159375
transcript.pyannote[2073].end 12122.81159375
transcript.pyannote[2074].speaker SPEAKER_47
transcript.pyannote[2074].start 12123.35159375
transcript.pyannote[2074].end 12128.05971875
transcript.pyannote[2075].speaker SPEAKER_47
transcript.pyannote[2075].start 12128.43096875
transcript.pyannote[2075].end 12142.89284375
transcript.pyannote[2076].speaker SPEAKER_47
transcript.pyannote[2076].start 12143.28096875
transcript.pyannote[2076].end 12145.74471875
transcript.pyannote[2077].speaker SPEAKER_47
transcript.pyannote[2077].start 12145.84596875
transcript.pyannote[2077].end 12150.35159375
transcript.pyannote[2078].speaker SPEAKER_47
transcript.pyannote[2078].start 12150.43596875
transcript.pyannote[2078].end 12156.96659375
transcript.pyannote[2079].speaker SPEAKER_47
transcript.pyannote[2079].start 12157.08471875
transcript.pyannote[2079].end 12160.81409375
transcript.pyannote[2080].speaker SPEAKER_47
transcript.pyannote[2080].start 12161.18534375
transcript.pyannote[2080].end 12162.26534375
transcript.pyannote[2081].speaker SPEAKER_47
transcript.pyannote[2081].start 12162.72096875
transcript.pyannote[2081].end 12205.46534375
transcript.pyannote[2082].speaker SPEAKER_47
transcript.pyannote[2082].start 12205.92096875
transcript.pyannote[2082].end 12210.15659375
transcript.pyannote[2083].speaker SPEAKER_47
transcript.pyannote[2083].start 12210.44346875
transcript.pyannote[2083].end 12214.74659375
transcript.pyannote[2084].speaker SPEAKER_47
transcript.pyannote[2084].start 12215.16846875
transcript.pyannote[2084].end 12218.05409375
transcript.pyannote[2085].speaker SPEAKER_47
transcript.pyannote[2085].start 12218.49284375
transcript.pyannote[2085].end 12222.20534375
transcript.pyannote[2086].speaker SPEAKER_47
transcript.pyannote[2086].start 12222.39096875
transcript.pyannote[2086].end 12223.94346875
transcript.pyannote[2087].speaker SPEAKER_47
transcript.pyannote[2087].start 12223.97721875
transcript.pyannote[2087].end 12225.27659375
transcript.pyannote[2088].speaker SPEAKER_47
transcript.pyannote[2088].start 12225.56346875
transcript.pyannote[2088].end 12230.05221875
transcript.pyannote[2089].speaker SPEAKER_47
transcript.pyannote[2089].start 12230.33909375
transcript.pyannote[2089].end 12235.55346875
transcript.pyannote[2090].speaker SPEAKER_47
transcript.pyannote[2090].start 12236.02596875
transcript.pyannote[2090].end 12238.60784375
transcript.pyannote[2091].speaker SPEAKER_47
transcript.pyannote[2091].start 12238.89471875
transcript.pyannote[2091].end 12239.89034375
transcript.pyannote[2092].speaker SPEAKER_47
transcript.pyannote[2092].start 12240.09284375
transcript.pyannote[2092].end 12243.40034375
transcript.pyannote[2093].speaker SPEAKER_47
transcript.pyannote[2093].start 12243.46784375
transcript.pyannote[2093].end 12322.35846875
transcript.pyannote[2094].speaker SPEAKER_47
transcript.pyannote[2094].start 12322.78034375
transcript.pyannote[2094].end 12325.49721875
transcript.pyannote[2095].speaker SPEAKER_47
transcript.pyannote[2095].start 12326.05409375
transcript.pyannote[2095].end 12327.06659375
transcript.pyannote[2096].speaker SPEAKER_47
transcript.pyannote[2096].start 12327.72471875
transcript.pyannote[2096].end 12332.68596875
transcript.pyannote[2097].speaker SPEAKER_47
transcript.pyannote[2097].start 12332.77034375
transcript.pyannote[2097].end 12336.63471875
transcript.pyannote[2098].speaker SPEAKER_47
transcript.pyannote[2098].start 12336.87096875
transcript.pyannote[2098].end 12338.13659375
transcript.pyannote[2099].speaker SPEAKER_47
transcript.pyannote[2099].start 12338.38971875
transcript.pyannote[2099].end 12338.79471875
transcript.pyannote[2100].speaker SPEAKER_47
transcript.pyannote[2100].start 12338.96346875
transcript.pyannote[2100].end 12343.18221875
transcript.pyannote[2101].speaker SPEAKER_47
transcript.pyannote[2101].start 12343.40159375
transcript.pyannote[2101].end 12347.13096875
transcript.pyannote[2102].speaker SPEAKER_47
transcript.pyannote[2102].start 12347.21534375
transcript.pyannote[2102].end 12348.98721875
transcript.pyannote[2103].speaker SPEAKER_47
transcript.pyannote[2103].start 12349.51034375
transcript.pyannote[2103].end 12353.17221875
transcript.pyannote[2104].speaker SPEAKER_47
transcript.pyannote[2104].start 12353.49284375
transcript.pyannote[2104].end 12359.82096875
transcript.pyannote[2105].speaker SPEAKER_47
transcript.pyannote[2105].start 12359.97284375
transcript.pyannote[2105].end 12370.57034375
transcript.pyannote[2106].speaker SPEAKER_47
transcript.pyannote[2106].start 12370.89096875
transcript.pyannote[2106].end 12379.26096875
transcript.pyannote[2107].speaker SPEAKER_47
transcript.pyannote[2107].start 12379.53096875
transcript.pyannote[2107].end 12398.38034375
transcript.pyannote[2108].speaker SPEAKER_37
transcript.pyannote[2108].start 12403.35846875
transcript.pyannote[2108].end 12530.19096875
transcript.pyannote[2109].speaker SPEAKER_37
transcript.pyannote[2109].start 12530.79846875
transcript.pyannote[2109].end 12564.54846875
transcript.pyannote[2110].speaker SPEAKER_37
transcript.pyannote[2110].start 12564.81846875
transcript.pyannote[2110].end 12612.16971875
transcript.pyannote[2111].speaker SPEAKER_37
transcript.pyannote[2111].start 12612.45659375
transcript.pyannote[2111].end 12685.32284375
transcript.pyannote[2112].speaker SPEAKER_37
transcript.pyannote[2112].start 12685.60971875
transcript.pyannote[2112].end 12688.73159375
transcript.pyannote[2113].speaker SPEAKER_37
transcript.pyannote[2113].start 12689.28846875
transcript.pyannote[2113].end 12707.51346875
transcript.pyannote[2114].speaker SPEAKER_37
transcript.pyannote[2114].start 12708.25596875
transcript.pyannote[2114].end 12782.62409375
transcript.pyannote[2115].speaker SPEAKER_37
transcript.pyannote[2115].start 12783.23159375
transcript.pyannote[2115].end 12816.71159375
transcript.pyannote[2116].speaker SPEAKER_37
transcript.pyannote[2116].start 12817.55534375
transcript.pyannote[2116].end 12827.14034375
transcript.pyannote[2117].speaker SPEAKER_37
transcript.pyannote[2117].start 12827.47784375
transcript.pyannote[2117].end 12870.57659375
transcript.pyannote[2118].speaker SPEAKER_47
transcript.pyannote[2118].start 12870.77909375
transcript.pyannote[2118].end 12873.46221875
transcript.pyannote[2119].speaker SPEAKER_47
transcript.pyannote[2119].start 12874.47471875
transcript.pyannote[2119].end 12876.12846875
transcript.pyannote[2120].speaker SPEAKER_47
transcript.pyannote[2120].start 12876.36471875
transcript.pyannote[2120].end 12877.20846875
transcript.pyannote[2121].speaker SPEAKER_24
transcript.pyannote[2121].start 12880.16159375
transcript.pyannote[2121].end 12892.00784375
transcript.pyannote[2122].speaker SPEAKER_24
transcript.pyannote[2122].start 12892.31159375
transcript.pyannote[2122].end 12896.69909375
transcript.pyannote[2123].speaker SPEAKER_24
transcript.pyannote[2123].start 12897.00284375
transcript.pyannote[2123].end 12897.03659375
transcript.pyannote[2124].speaker SPEAKER_24
transcript.pyannote[2124].start 12897.05346875
transcript.pyannote[2124].end 12902.60534375
transcript.pyannote[2125].speaker SPEAKER_24
transcript.pyannote[2125].start 12902.97659375
transcript.pyannote[2125].end 12905.64284375
transcript.pyannote[2126].speaker SPEAKER_24
transcript.pyannote[2126].start 12906.01409375
transcript.pyannote[2126].end 12918.61971875
transcript.pyannote[2127].speaker SPEAKER_24
transcript.pyannote[2127].start 12918.67034375
transcript.pyannote[2127].end 12926.39909375
transcript.pyannote[2128].speaker SPEAKER_24
transcript.pyannote[2128].start 12926.66909375
transcript.pyannote[2128].end 12931.49534375
transcript.pyannote[2129].speaker SPEAKER_24
transcript.pyannote[2129].start 12931.83284375
transcript.pyannote[2129].end 12933.60471875
transcript.pyannote[2130].speaker SPEAKER_24
transcript.pyannote[2130].start 12933.97596875
transcript.pyannote[2130].end 12984.36471875
transcript.pyannote[2131].speaker SPEAKER_24
transcript.pyannote[2131].start 12984.63471875
transcript.pyannote[2131].end 12986.49096875
transcript.pyannote[2132].speaker SPEAKER_24
transcript.pyannote[2132].start 12986.57534375
transcript.pyannote[2132].end 12990.03471875
transcript.pyannote[2133].speaker SPEAKER_24
transcript.pyannote[2133].start 12990.08534375
transcript.pyannote[2133].end 12998.03346875
transcript.pyannote[2134].speaker SPEAKER_24
transcript.pyannote[2134].start 12998.10096875
transcript.pyannote[2134].end 13001.03721875
transcript.pyannote[2135].speaker SPEAKER_24
transcript.pyannote[2135].start 13001.37471875
transcript.pyannote[2135].end 13007.19659375
transcript.pyannote[2136].speaker SPEAKER_24
transcript.pyannote[2136].start 13007.26409375
transcript.pyannote[2136].end 13011.83721875
transcript.pyannote[2137].speaker SPEAKER_24
transcript.pyannote[2137].start 13012.15784375
transcript.pyannote[2137].end 13013.62596875
transcript.pyannote[2138].speaker SPEAKER_24
transcript.pyannote[2138].start 13013.72721875
transcript.pyannote[2138].end 13018.13159375
transcript.pyannote[2139].speaker SPEAKER_24
transcript.pyannote[2139].start 13018.33409375
transcript.pyannote[2139].end 13022.94096875
transcript.pyannote[2140].speaker SPEAKER_24
transcript.pyannote[2140].start 13023.24471875
transcript.pyannote[2140].end 13024.37534375
transcript.pyannote[2141].speaker SPEAKER_24
transcript.pyannote[2141].start 13025.55659375
transcript.pyannote[2141].end 13050.09284375
transcript.pyannote[2142].speaker SPEAKER_24
transcript.pyannote[2142].start 13050.39659375
transcript.pyannote[2142].end 13072.46909375
transcript.pyannote[2143].speaker SPEAKER_24
transcript.pyannote[2143].start 13072.58721875
transcript.pyannote[2143].end 13080.14721875
transcript.pyannote[2144].speaker SPEAKER_17
transcript.pyannote[2144].start 13080.85596875
transcript.pyannote[2144].end 13114.69034375
transcript.pyannote[2145].speaker SPEAKER_47
transcript.pyannote[2145].start 13082.27346875
transcript.pyannote[2145].end 13082.30721875
transcript.pyannote[2146].speaker SPEAKER_42
transcript.pyannote[2146].start 13082.30721875
transcript.pyannote[2146].end 13082.44221875
transcript.pyannote[2147].speaker SPEAKER_24
transcript.pyannote[2147].start 13082.44221875
transcript.pyannote[2147].end 13082.59409375
transcript.pyannote[2148].speaker SPEAKER_47
transcript.pyannote[2148].start 13082.59409375
transcript.pyannote[2148].end 13082.67846875
transcript.pyannote[2149].speaker SPEAKER_17
transcript.pyannote[2149].start 13114.82534375
transcript.pyannote[2149].end 13115.12909375
transcript.pyannote[2150].speaker SPEAKER_47
transcript.pyannote[2150].start 13117.93034375
transcript.pyannote[2150].end 13124.17409375
transcript.pyannote[2151].speaker SPEAKER_47
transcript.pyannote[2151].start 13124.39346875
transcript.pyannote[2151].end 13125.49034375
transcript.pyannote[2152].speaker SPEAKER_47
transcript.pyannote[2152].start 13125.96284375
transcript.pyannote[2152].end 13139.58096875
transcript.pyannote[2153].speaker SPEAKER_47
transcript.pyannote[2153].start 13139.76659375
transcript.pyannote[2153].end 13147.76534375
transcript.pyannote[2154].speaker SPEAKER_47
transcript.pyannote[2154].start 13148.22096875
transcript.pyannote[2154].end 13153.57034375
transcript.pyannote[2155].speaker SPEAKER_47
transcript.pyannote[2155].start 13153.85721875
transcript.pyannote[2155].end 13159.22346875
transcript.pyannote[2156].speaker SPEAKER_47
transcript.pyannote[2156].start 13159.98284375
transcript.pyannote[2156].end 13172.82471875
transcript.pyannote[2157].speaker SPEAKER_47
transcript.pyannote[2157].start 13173.02721875
transcript.pyannote[2157].end 13181.48159375
transcript.pyannote[2158].speaker SPEAKER_47
transcript.pyannote[2158].start 13181.51534375
transcript.pyannote[2158].end 13181.58284375
transcript.pyannote[2159].speaker SPEAKER_47
transcript.pyannote[2159].start 13181.68409375
transcript.pyannote[2159].end 13186.72971875
transcript.pyannote[2160].speaker SPEAKER_47
transcript.pyannote[2160].start 13187.10096875
transcript.pyannote[2160].end 13192.23096875
transcript.pyannote[2161].speaker SPEAKER_47
transcript.pyannote[2161].start 13192.55159375
transcript.pyannote[2161].end 13203.01409375
transcript.pyannote[2162].speaker SPEAKER_21
transcript.pyannote[2162].start 13203.70596875
transcript.pyannote[2162].end 13219.56846875
transcript.pyannote[2163].speaker SPEAKER_21
transcript.pyannote[2163].start 13220.00721875
transcript.pyannote[2163].end 13224.51284375
transcript.pyannote[2164].speaker SPEAKER_21
transcript.pyannote[2164].start 13224.74909375
transcript.pyannote[2164].end 13231.68471875
transcript.pyannote[2165].speaker SPEAKER_21
transcript.pyannote[2165].start 13231.95471875
transcript.pyannote[2165].end 13235.17784375
transcript.pyannote[2166].speaker SPEAKER_21
transcript.pyannote[2166].start 13236.79784375
transcript.pyannote[2166].end 13241.77596875
transcript.pyannote[2167].speaker SPEAKER_21
transcript.pyannote[2167].start 13242.26534375
transcript.pyannote[2167].end 13243.96971875
transcript.pyannote[2168].speaker SPEAKER_21
transcript.pyannote[2168].start 13244.76284375
transcript.pyannote[2168].end 13245.79221875
transcript.pyannote[2169].speaker SPEAKER_21
transcript.pyannote[2169].start 13246.01159375
transcript.pyannote[2169].end 13246.66971875
transcript.pyannote[2170].speaker SPEAKER_21
transcript.pyannote[2170].start 13247.58096875
transcript.pyannote[2170].end 13248.44159375
transcript.pyannote[2171].speaker SPEAKER_21
transcript.pyannote[2171].start 13249.18409375
transcript.pyannote[2171].end 13250.56784375
transcript.pyannote[2172].speaker SPEAKER_21
transcript.pyannote[2172].start 13250.87159375
transcript.pyannote[2172].end 13252.54221875
transcript.pyannote[2173].speaker SPEAKER_21
transcript.pyannote[2173].start 13252.89659375
transcript.pyannote[2173].end 13256.11971875
transcript.pyannote[2174].speaker SPEAKER_21
transcript.pyannote[2174].start 13257.04784375
transcript.pyannote[2174].end 13262.80221875
transcript.pyannote[2175].speaker SPEAKER_21
transcript.pyannote[2175].start 13263.15659375
transcript.pyannote[2175].end 13274.83409375
transcript.pyannote[2176].speaker SPEAKER_47
transcript.pyannote[2176].start 13278.64784375
transcript.pyannote[2176].end 13297.32846875
transcript.pyannote[2177].speaker SPEAKER_47
transcript.pyannote[2177].start 13297.56471875
transcript.pyannote[2177].end 13299.43784375
transcript.pyannote[2178].speaker SPEAKER_21
transcript.pyannote[2178].start 13299.89346875
transcript.pyannote[2178].end 13318.06784375
transcript.pyannote[2179].speaker SPEAKER_21
transcript.pyannote[2179].start 13318.48971875
transcript.pyannote[2179].end 13326.92721875
transcript.pyannote[2180].speaker SPEAKER_05
transcript.pyannote[2180].start 13326.45471875
transcript.pyannote[2180].end 13327.55159375
transcript.pyannote[2181].speaker SPEAKER_21
transcript.pyannote[2181].start 13327.18034375
transcript.pyannote[2181].end 13327.46721875
transcript.pyannote[2182].speaker SPEAKER_47
transcript.pyannote[2182].start 13327.92284375
transcript.pyannote[2182].end 13329.66096875
transcript.pyannote[2183].speaker SPEAKER_21
transcript.pyannote[2183].start 13328.41221875
transcript.pyannote[2183].end 13328.42909375
transcript.pyannote[2184].speaker SPEAKER_05
transcript.pyannote[2184].start 13328.42909375
transcript.pyannote[2184].end 13331.34846875
transcript.pyannote[2185].speaker SPEAKER_47
transcript.pyannote[2185].start 13332.04034375
transcript.pyannote[2185].end 13333.06971875
transcript.pyannote[2186].speaker SPEAKER_05
transcript.pyannote[2186].start 13333.39034375
transcript.pyannote[2186].end 13334.36909375
transcript.pyannote[2187].speaker SPEAKER_47
transcript.pyannote[2187].start 13334.94284375
transcript.pyannote[2187].end 13335.85409375
transcript.pyannote[2188].speaker SPEAKER_05
transcript.pyannote[2188].start 13335.85409375
transcript.pyannote[2188].end 13336.78221875
transcript.pyannote[2189].speaker SPEAKER_47
transcript.pyannote[2189].start 13336.68096875
transcript.pyannote[2189].end 13341.10221875
transcript.pyannote[2190].speaker SPEAKER_05
transcript.pyannote[2190].start 13338.99284375
transcript.pyannote[2190].end 13340.78159375
transcript.pyannote[2191].speaker SPEAKER_05
transcript.pyannote[2191].start 13343.29596875
transcript.pyannote[2191].end 13345.11846875
transcript.pyannote[2192].speaker SPEAKER_05
transcript.pyannote[2192].start 13346.33346875
transcript.pyannote[2192].end 13349.70846875
transcript.pyannote[2193].speaker SPEAKER_21
transcript.pyannote[2193].start 13350.04596875
transcript.pyannote[2193].end 13358.46659375
transcript.pyannote[2194].speaker SPEAKER_05
transcript.pyannote[2194].start 13357.57221875
transcript.pyannote[2194].end 13360.45784375
transcript.pyannote[2195].speaker SPEAKER_21
transcript.pyannote[2195].start 13359.46221875
transcript.pyannote[2195].end 13359.96846875
transcript.pyannote[2196].speaker SPEAKER_21
transcript.pyannote[2196].start 13360.08659375
transcript.pyannote[2196].end 13363.57971875
transcript.pyannote[2197].speaker SPEAKER_21
transcript.pyannote[2197].start 13364.20409375
transcript.pyannote[2197].end 13369.90784375
transcript.pyannote[2198].speaker SPEAKER_21
transcript.pyannote[2198].start 13370.12721875
transcript.pyannote[2198].end 13371.37596875
transcript.pyannote[2199].speaker SPEAKER_47
transcript.pyannote[2199].start 13372.94534375
transcript.pyannote[2199].end 13373.68784375
transcript.pyannote[2200].speaker SPEAKER_05
transcript.pyannote[2200].start 13373.46846875
transcript.pyannote[2200].end 13375.37534375
transcript.pyannote[2201].speaker SPEAKER_05
transcript.pyannote[2201].start 13376.67471875
transcript.pyannote[2201].end 13376.96159375
transcript.pyannote[2202].speaker SPEAKER_05
transcript.pyannote[2202].start 13380.28596875
transcript.pyannote[2202].end 13380.96096875
transcript.pyannote[2203].speaker SPEAKER_05
transcript.pyannote[2203].start 13382.85096875
transcript.pyannote[2203].end 13383.54284375
transcript.pyannote[2204].speaker SPEAKER_05
transcript.pyannote[2204].start 13385.34846875
transcript.pyannote[2204].end 13386.27659375
transcript.pyannote[2205].speaker SPEAKER_05
transcript.pyannote[2205].start 13387.42409375
transcript.pyannote[2205].end 13389.21284375
transcript.pyannote[2206].speaker SPEAKER_05
transcript.pyannote[2206].start 13393.80284375
transcript.pyannote[2206].end 13395.00096875
transcript.pyannote[2207].speaker SPEAKER_47
transcript.pyannote[2207].start 13393.88721875
transcript.pyannote[2207].end 13397.14409375
transcript.pyannote[2208].speaker SPEAKER_05
transcript.pyannote[2208].start 13397.95409375
transcript.pyannote[2208].end 13400.18159375
transcript.pyannote[2209].speaker SPEAKER_05
transcript.pyannote[2209].start 13406.00346875
transcript.pyannote[2209].end 13408.07909375
transcript.pyannote[2210].speaker SPEAKER_05
transcript.pyannote[2210].start 13409.10846875
transcript.pyannote[2210].end 13412.97284375
transcript.pyannote[2211].speaker SPEAKER_24
transcript.pyannote[2211].start 13412.97284375
transcript.pyannote[2211].end 13419.82409375
transcript.pyannote[2212].speaker SPEAKER_05
transcript.pyannote[2212].start 13413.83346875
transcript.pyannote[2212].end 13413.95159375
transcript.pyannote[2213].speaker SPEAKER_05
transcript.pyannote[2213].start 13414.50846875
transcript.pyannote[2213].end 13414.91346875
transcript.pyannote[2214].speaker SPEAKER_24
transcript.pyannote[2214].start 13420.31346875
transcript.pyannote[2214].end 13424.04284375
transcript.pyannote[2215].speaker SPEAKER_05
transcript.pyannote[2215].start 13423.04721875
transcript.pyannote[2215].end 13425.47721875
transcript.pyannote[2216].speaker SPEAKER_24
transcript.pyannote[2216].start 13424.36346875
transcript.pyannote[2216].end 13425.73034375
transcript.pyannote[2217].speaker SPEAKER_24
transcript.pyannote[2217].start 13426.57409375
transcript.pyannote[2217].end 13427.13096875
transcript.pyannote[2218].speaker SPEAKER_24
transcript.pyannote[2218].start 13429.20659375
transcript.pyannote[2218].end 13434.55596875
transcript.pyannote[2219].speaker SPEAKER_24
transcript.pyannote[2219].start 13434.94409375
transcript.pyannote[2219].end 13439.09534375
transcript.pyannote[2220].speaker SPEAKER_24
transcript.pyannote[2220].start 13439.17971875
transcript.pyannote[2220].end 13444.02284375
transcript.pyannote[2221].speaker SPEAKER_05
transcript.pyannote[2221].start 13443.44909375
transcript.pyannote[2221].end 13443.97221875
transcript.pyannote[2222].speaker SPEAKER_05
transcript.pyannote[2222].start 13444.02284375
transcript.pyannote[2222].end 13446.52034375
transcript.pyannote[2223].speaker SPEAKER_24
transcript.pyannote[2223].start 13446.52034375
transcript.pyannote[2223].end 13446.82409375
transcript.pyannote[2224].speaker SPEAKER_24
transcript.pyannote[2224].start 13447.41471875
transcript.pyannote[2224].end 13449.76034375
transcript.pyannote[2225].speaker SPEAKER_24
transcript.pyannote[2225].start 13450.11471875
transcript.pyannote[2225].end 13455.51471875
transcript.pyannote[2226].speaker SPEAKER_24
transcript.pyannote[2226].start 13456.74659375
transcript.pyannote[2226].end 13457.50596875
transcript.pyannote[2227].speaker SPEAKER_24
transcript.pyannote[2227].start 13458.09659375
transcript.pyannote[2227].end 13459.39596875
transcript.pyannote[2228].speaker SPEAKER_24
transcript.pyannote[2228].start 13460.47596875
transcript.pyannote[2228].end 13461.84284375
transcript.pyannote[2229].speaker SPEAKER_24
transcript.pyannote[2229].start 13462.26471875
transcript.pyannote[2229].end 13476.03471875
transcript.pyannote[2230].speaker SPEAKER_00
transcript.pyannote[2230].start 13466.73659375
transcript.pyannote[2230].end 13467.02346875
transcript.pyannote[2231].speaker SPEAKER_04
transcript.pyannote[2231].start 13467.02346875
transcript.pyannote[2231].end 13468.10346875
transcript.pyannote[2232].speaker SPEAKER_05
transcript.pyannote[2232].start 13476.03471875
transcript.pyannote[2232].end 13477.73909375
transcript.pyannote[2233].speaker SPEAKER_05
transcript.pyannote[2233].start 13479.03846875
transcript.pyannote[2233].end 13481.43471875
transcript.pyannote[2234].speaker SPEAKER_43
transcript.pyannote[2234].start 13481.89034375
transcript.pyannote[2234].end 13490.20971875
transcript.pyannote[2235].speaker SPEAKER_47
transcript.pyannote[2235].start 13484.16846875
transcript.pyannote[2235].end 13486.12596875
transcript.pyannote[2236].speaker SPEAKER_47
transcript.pyannote[2236].start 13486.49721875
transcript.pyannote[2236].end 13486.51409375
transcript.pyannote[2237].speaker SPEAKER_05
transcript.pyannote[2237].start 13486.51409375
transcript.pyannote[2237].end 13486.95284375
transcript.pyannote[2238].speaker SPEAKER_05
transcript.pyannote[2238].start 13489.60221875
transcript.pyannote[2238].end 13490.63159375
transcript.pyannote[2239].speaker SPEAKER_43
transcript.pyannote[2239].start 13490.41221875
transcript.pyannote[2239].end 13492.77471875
transcript.pyannote[2240].speaker SPEAKER_43
transcript.pyannote[2240].start 13493.04471875
transcript.pyannote[2240].end 13496.03159375
transcript.pyannote[2241].speaker SPEAKER_43
transcript.pyannote[2241].start 13496.75721875
transcript.pyannote[2241].end 13504.16534375
transcript.pyannote[2242].speaker SPEAKER_43
transcript.pyannote[2242].start 13504.60409375
transcript.pyannote[2242].end 13516.72034375
transcript.pyannote[2243].speaker SPEAKER_42
transcript.pyannote[2243].start 13508.87346875
transcript.pyannote[2243].end 13509.54846875
transcript.pyannote[2244].speaker SPEAKER_24
transcript.pyannote[2244].start 13517.83409375
transcript.pyannote[2244].end 13518.30659375
transcript.pyannote[2245].speaker SPEAKER_43
transcript.pyannote[2245].start 13517.98596875
transcript.pyannote[2245].end 13518.20534375
transcript.pyannote[2246].speaker SPEAKER_43
transcript.pyannote[2246].start 13518.30659375
transcript.pyannote[2246].end 13518.89721875
transcript.pyannote[2247].speaker SPEAKER_43
transcript.pyannote[2247].start 13518.94784375
transcript.pyannote[2247].end 13519.08284375
transcript.pyannote[2248].speaker SPEAKER_42
transcript.pyannote[2248].start 13519.08284375
transcript.pyannote[2248].end 13519.21784375
transcript.pyannote[2249].speaker SPEAKER_24
transcript.pyannote[2249].start 13520.17971875
transcript.pyannote[2249].end 13526.62596875
transcript.pyannote[2250].speaker SPEAKER_43
transcript.pyannote[2250].start 13525.96784375
transcript.pyannote[2250].end 13528.49909375
transcript.pyannote[2251].speaker SPEAKER_43
transcript.pyannote[2251].start 13530.20346875
transcript.pyannote[2251].end 13532.88659375
transcript.pyannote[2252].speaker SPEAKER_24
transcript.pyannote[2252].start 13531.18221875
transcript.pyannote[2252].end 13532.24534375
transcript.pyannote[2253].speaker SPEAKER_24
transcript.pyannote[2253].start 13534.40534375
transcript.pyannote[2253].end 13535.50221875
transcript.pyannote[2254].speaker SPEAKER_43
transcript.pyannote[2254].start 13535.73846875
transcript.pyannote[2254].end 13537.66221875
transcript.pyannote[2255].speaker SPEAKER_24
transcript.pyannote[2255].start 13537.56096875
transcript.pyannote[2255].end 13537.59471875
transcript.pyannote[2256].speaker SPEAKER_24
transcript.pyannote[2256].start 13537.66221875
transcript.pyannote[2256].end 13537.71284375
transcript.pyannote[2257].speaker SPEAKER_43
transcript.pyannote[2257].start 13538.42159375
transcript.pyannote[2257].end 13543.41659375
transcript.pyannote[2258].speaker SPEAKER_24
transcript.pyannote[2258].start 13540.07534375
transcript.pyannote[2258].end 13540.12596875
transcript.pyannote[2259].speaker SPEAKER_05
transcript.pyannote[2259].start 13540.12596875
transcript.pyannote[2259].end 13540.83471875
transcript.pyannote[2260].speaker SPEAKER_24
transcript.pyannote[2260].start 13540.83471875
transcript.pyannote[2260].end 13540.85159375
transcript.pyannote[2261].speaker SPEAKER_05
transcript.pyannote[2261].start 13540.85159375
transcript.pyannote[2261].end 13540.86846875
transcript.pyannote[2262].speaker SPEAKER_05
transcript.pyannote[2262].start 13542.35346875
transcript.pyannote[2262].end 13547.61846875
transcript.pyannote[2263].speaker SPEAKER_05
transcript.pyannote[2263].start 13548.31034375
transcript.pyannote[2263].end 13550.68971875
transcript.pyannote[2264].speaker SPEAKER_43
transcript.pyannote[2264].start 13550.65596875
transcript.pyannote[2264].end 13552.83284375
transcript.pyannote[2265].speaker SPEAKER_43
transcript.pyannote[2265].start 13553.30534375
transcript.pyannote[2265].end 13554.03096875
transcript.pyannote[2266].speaker SPEAKER_43
transcript.pyannote[2266].start 13554.43596875
transcript.pyannote[2266].end 13554.45284375
transcript.pyannote[2267].speaker SPEAKER_47
transcript.pyannote[2267].start 13554.45284375
transcript.pyannote[2267].end 13556.22471875
transcript.pyannote[2268].speaker SPEAKER_05
transcript.pyannote[2268].start 13556.35971875
transcript.pyannote[2268].end 13556.37659375
transcript.pyannote[2269].speaker SPEAKER_27
transcript.pyannote[2269].start 13556.37659375
transcript.pyannote[2269].end 13560.40971875
transcript.pyannote[2270].speaker SPEAKER_27
transcript.pyannote[2270].start 13561.54034375
transcript.pyannote[2270].end 13564.51034375
transcript.pyannote[2271].speaker SPEAKER_27
transcript.pyannote[2271].start 13564.88159375
transcript.pyannote[2271].end 13566.23159375
transcript.pyannote[2272].speaker SPEAKER_27
transcript.pyannote[2272].start 13566.92346875
transcript.pyannote[2272].end 13572.82971875
transcript.pyannote[2273].speaker SPEAKER_27
transcript.pyannote[2273].start 13573.79159375
transcript.pyannote[2273].end 13577.35221875
transcript.pyannote[2274].speaker SPEAKER_27
transcript.pyannote[2274].start 13578.39846875
transcript.pyannote[2274].end 13581.73971875
transcript.pyannote[2275].speaker SPEAKER_27
transcript.pyannote[2275].start 13582.21221875
transcript.pyannote[2275].end 13586.04284375
transcript.pyannote[2276].speaker SPEAKER_24
transcript.pyannote[2276].start 13584.16971875
transcript.pyannote[2276].end 13584.57471875
transcript.pyannote[2277].speaker SPEAKER_24
transcript.pyannote[2277].start 13585.57034375
transcript.pyannote[2277].end 13599.66096875
transcript.pyannote[2278].speaker SPEAKER_20
transcript.pyannote[2278].start 13599.01971875
transcript.pyannote[2278].end 13600.57221875
transcript.pyannote[2279].speaker SPEAKER_24
transcript.pyannote[2279].start 13601.02784375
transcript.pyannote[2279].end 13602.32721875
transcript.pyannote[2280].speaker SPEAKER_20
transcript.pyannote[2280].start 13603.17096875
transcript.pyannote[2280].end 13604.13284375
transcript.pyannote[2281].speaker SPEAKER_27
transcript.pyannote[2281].start 13606.71471875
transcript.pyannote[2281].end 13610.03909375
transcript.pyannote[2282].speaker SPEAKER_27
transcript.pyannote[2282].start 13611.05159375
transcript.pyannote[2282].end 13613.21159375
transcript.pyannote[2283].speaker SPEAKER_43
transcript.pyannote[2283].start 13612.62096875
transcript.pyannote[2283].end 13612.68846875
transcript.pyannote[2284].speaker SPEAKER_43
transcript.pyannote[2284].start 13613.02596875
transcript.pyannote[2284].end 13683.96846875
transcript.pyannote[2285].speaker SPEAKER_47
transcript.pyannote[2285].start 13683.96846875
transcript.pyannote[2285].end 13684.81221875
transcript.pyannote[2286].speaker SPEAKER_43
transcript.pyannote[2286].start 13684.81221875
transcript.pyannote[2286].end 13684.82909375
transcript.pyannote[2287].speaker SPEAKER_15
transcript.pyannote[2287].start 13684.89659375
transcript.pyannote[2287].end 13685.95971875
transcript.pyannote[2288].speaker SPEAKER_15
transcript.pyannote[2288].start 13686.66846875
transcript.pyannote[2288].end 13706.09159375
transcript.pyannote[2289].speaker SPEAKER_15
transcript.pyannote[2289].start 13706.29409375
transcript.pyannote[2289].end 13714.25909375
transcript.pyannote[2290].speaker SPEAKER_15
transcript.pyannote[2290].start 13714.81596875
transcript.pyannote[2290].end 13729.07534375
transcript.pyannote[2291].speaker SPEAKER_15
transcript.pyannote[2291].start 13729.36221875
transcript.pyannote[2291].end 13730.05409375
transcript.pyannote[2292].speaker SPEAKER_24
transcript.pyannote[2292].start 13735.77471875
transcript.pyannote[2292].end 13743.57096875
transcript.pyannote[2293].speaker SPEAKER_47
transcript.pyannote[2293].start 13743.16596875
transcript.pyannote[2293].end 13746.33846875
transcript.pyannote[2294].speaker SPEAKER_24
transcript.pyannote[2294].start 13749.61221875
transcript.pyannote[2294].end 13755.11346875
transcript.pyannote[2295].speaker SPEAKER_01
transcript.pyannote[2295].start 13755.41721875
transcript.pyannote[2295].end 13755.70409375
transcript.pyannote[2296].speaker SPEAKER_01
transcript.pyannote[2296].start 13755.97409375
transcript.pyannote[2296].end 13756.63221875
transcript.pyannote[2297].speaker SPEAKER_01
transcript.pyannote[2297].start 13757.69534375
transcript.pyannote[2297].end 13757.86409375
transcript.pyannote[2298].speaker SPEAKER_01
transcript.pyannote[2298].start 13759.19721875
transcript.pyannote[2298].end 13764.37784375
transcript.pyannote[2299].speaker SPEAKER_01
transcript.pyannote[2299].start 13764.41159375
transcript.pyannote[2299].end 13764.46221875
transcript.pyannote[2300].speaker SPEAKER_24
transcript.pyannote[2300].start 13764.46221875
transcript.pyannote[2300].end 13775.54909375
transcript.pyannote[2301].speaker SPEAKER_24
transcript.pyannote[2301].start 13775.95409375
transcript.pyannote[2301].end 13779.14346875
transcript.pyannote[2302].speaker SPEAKER_24
transcript.pyannote[2302].start 13779.48096875
transcript.pyannote[2302].end 13780.93221875
transcript.pyannote[2303].speaker SPEAKER_24
transcript.pyannote[2303].start 13782.02909375
transcript.pyannote[2303].end 13789.60596875
transcript.pyannote[2304].speaker SPEAKER_24
transcript.pyannote[2304].start 13789.97721875
transcript.pyannote[2304].end 13792.99784375
transcript.pyannote[2305].speaker SPEAKER_28
transcript.pyannote[2305].start 13801.67159375
transcript.pyannote[2305].end 13813.26471875
transcript.pyannote[2306].speaker SPEAKER_43
transcript.pyannote[2306].start 13813.82159375
transcript.pyannote[2306].end 13816.23471875
transcript.pyannote[2307].speaker SPEAKER_43
transcript.pyannote[2307].start 13816.50471875
transcript.pyannote[2307].end 13838.89784375
transcript.pyannote[2308].speaker SPEAKER_43
transcript.pyannote[2308].start 13839.15096875
transcript.pyannote[2308].end 13842.94784375
transcript.pyannote[2309].speaker SPEAKER_43
transcript.pyannote[2309].start 13843.21784375
transcript.pyannote[2309].end 13852.68471875
transcript.pyannote[2310].speaker SPEAKER_43
transcript.pyannote[2310].start 13852.97159375
transcript.pyannote[2310].end 13857.44346875
transcript.pyannote[2311].speaker SPEAKER_09
transcript.pyannote[2311].start 13855.45221875
transcript.pyannote[2311].end 13856.26221875
transcript.pyannote[2312].speaker SPEAKER_09
transcript.pyannote[2312].start 13857.44346875
transcript.pyannote[2312].end 13857.46034375
transcript.pyannote[2313].speaker SPEAKER_09
transcript.pyannote[2313].start 13857.73034375
transcript.pyannote[2313].end 13859.28284375
transcript.pyannote[2314].speaker SPEAKER_09
transcript.pyannote[2314].start 13859.43471875
transcript.pyannote[2314].end 13869.15471875
transcript.pyannote[2315].speaker SPEAKER_09
transcript.pyannote[2315].start 13869.55971875
transcript.pyannote[2315].end 13877.08596875
transcript.pyannote[2316].speaker SPEAKER_09
transcript.pyannote[2316].start 13877.55846875
transcript.pyannote[2316].end 13885.74284375
transcript.pyannote[2317].speaker SPEAKER_09
transcript.pyannote[2317].start 13886.40096875
transcript.pyannote[2317].end 13918.05846875
transcript.pyannote[2318].speaker SPEAKER_09
transcript.pyannote[2318].start 13918.61534375
transcript.pyannote[2318].end 13934.41034375
transcript.pyannote[2319].speaker SPEAKER_09
transcript.pyannote[2319].start 13934.52846875
transcript.pyannote[2319].end 13946.32409375
transcript.pyannote[2320].speaker SPEAKER_09
transcript.pyannote[2320].start 13946.62784375
transcript.pyannote[2320].end 13990.28346875
transcript.pyannote[2321].speaker SPEAKER_09
transcript.pyannote[2321].start 13990.80659375
transcript.pyannote[2321].end 13993.81034375
transcript.pyannote[2322].speaker SPEAKER_09
transcript.pyannote[2322].start 13994.46846875
transcript.pyannote[2322].end 14007.10784375
transcript.pyannote[2323].speaker SPEAKER_09
transcript.pyannote[2323].start 14007.76596875
transcript.pyannote[2323].end 14018.41409375
transcript.pyannote[2324].speaker SPEAKER_09
transcript.pyannote[2324].start 14018.76846875
transcript.pyannote[2324].end 14054.96534375
transcript.pyannote[2325].speaker SPEAKER_47
transcript.pyannote[2325].start 14055.47159375
transcript.pyannote[2325].end 14076.53159375
transcript.pyannote[2326].speaker SPEAKER_47
transcript.pyannote[2326].start 14077.81409375
transcript.pyannote[2326].end 14089.40721875
transcript.pyannote[2327].speaker SPEAKER_30
transcript.pyannote[2327].start 14089.40721875
transcript.pyannote[2327].end 14093.55846875
transcript.pyannote[2328].speaker SPEAKER_30
transcript.pyannote[2328].start 14094.14909375
transcript.pyannote[2328].end 14119.83284375
transcript.pyannote[2329].speaker SPEAKER_30
transcript.pyannote[2329].start 14120.44034375
transcript.pyannote[2329].end 14125.03034375
transcript.pyannote[2330].speaker SPEAKER_30
transcript.pyannote[2330].start 14125.53659375
transcript.pyannote[2330].end 14175.95909375
transcript.pyannote[2331].speaker SPEAKER_47
transcript.pyannote[2331].start 14176.44846875
transcript.pyannote[2331].end 14182.03409375
transcript.pyannote[2332].speaker SPEAKER_43
transcript.pyannote[2332].start 14182.03409375
transcript.pyannote[2332].end 14280.53346875
transcript.pyannote[2333].speaker SPEAKER_43
transcript.pyannote[2333].start 14281.57971875
transcript.pyannote[2333].end 14282.96346875
transcript.pyannote[2334].speaker SPEAKER_47
transcript.pyannote[2334].start 14282.96346875
transcript.pyannote[2334].end 14284.80284375
transcript.pyannote[2335].speaker SPEAKER_15
transcript.pyannote[2335].start 14287.04721875
transcript.pyannote[2335].end 14313.27096875
transcript.pyannote[2336].speaker SPEAKER_15
transcript.pyannote[2336].start 14313.33846875
transcript.pyannote[2336].end 14324.15534375
transcript.pyannote[2337].speaker SPEAKER_15
transcript.pyannote[2337].start 14324.81346875
transcript.pyannote[2337].end 14374.03784375
transcript.pyannote[2338].speaker SPEAKER_15
transcript.pyannote[2338].start 14374.39221875
transcript.pyannote[2338].end 14375.05034375
transcript.pyannote[2339].speaker SPEAKER_47
transcript.pyannote[2339].start 14375.86034375
transcript.pyannote[2339].end 14378.77971875
transcript.pyannote[2340].speaker SPEAKER_15
transcript.pyannote[2340].start 14377.54784375
transcript.pyannote[2340].end 14377.96971875
transcript.pyannote[2341].speaker SPEAKER_47
transcript.pyannote[2341].start 14380.88909375
transcript.pyannote[2341].end 14469.16221875
transcript.pyannote[2342].speaker SPEAKER_47
transcript.pyannote[2342].start 14469.98909375
transcript.pyannote[2342].end 14475.01784375
transcript.pyannote[2343].speaker SPEAKER_42
transcript.pyannote[2343].start 14471.23784375
transcript.pyannote[2343].end 14473.12784375
transcript.pyannote[2344].speaker SPEAKER_42
transcript.pyannote[2344].start 14473.60034375
transcript.pyannote[2344].end 14475.54096875
transcript.pyannote[2345].speaker SPEAKER_43
transcript.pyannote[2345].start 14475.54096875
transcript.pyannote[2345].end 14475.65909375
transcript.pyannote[2346].speaker SPEAKER_43
transcript.pyannote[2346].start 14475.77721875
transcript.pyannote[2346].end 14475.86159375
transcript.pyannote[2347].speaker SPEAKER_47
transcript.pyannote[2347].start 14475.86159375
transcript.pyannote[2347].end 14482.69596875
transcript.pyannote[2348].speaker SPEAKER_43
transcript.pyannote[2348].start 14477.02596875
transcript.pyannote[2348].end 14477.54909375
transcript.pyannote[2349].speaker SPEAKER_43
transcript.pyannote[2349].start 14480.58659375
transcript.pyannote[2349].end 14480.62034375
transcript.pyannote[2350].speaker SPEAKER_42
transcript.pyannote[2350].start 14480.62034375
transcript.pyannote[2350].end 14480.97471875
transcript.pyannote[2351].speaker SPEAKER_45
transcript.pyannote[2351].start 14480.97471875
transcript.pyannote[2351].end 14482.57784375
transcript.pyannote[2352].speaker SPEAKER_45
transcript.pyannote[2352].start 14482.69596875
transcript.pyannote[2352].end 14483.11784375
transcript.pyannote[2353].speaker SPEAKER_47
transcript.pyannote[2353].start 14483.11784375
transcript.pyannote[2353].end 14502.79409375
transcript.pyannote[2354].speaker SPEAKER_45
transcript.pyannote[2354].start 14483.16846875
transcript.pyannote[2354].end 14483.47221875
transcript.pyannote[2355].speaker SPEAKER_43
transcript.pyannote[2355].start 14483.47221875
transcript.pyannote[2355].end 14483.50596875
transcript.pyannote[2356].speaker SPEAKER_45
transcript.pyannote[2356].start 14483.50596875
transcript.pyannote[2356].end 14483.60721875
transcript.pyannote[2357].speaker SPEAKER_29
transcript.pyannote[2357].start 14502.79409375
transcript.pyannote[2357].end 14509.08846875
transcript.pyannote[2358].speaker SPEAKER_29
transcript.pyannote[2358].start 14509.81409375
transcript.pyannote[2358].end 14549.35221875
transcript.pyannote[2359].speaker SPEAKER_29
transcript.pyannote[2359].start 14549.50409375
transcript.pyannote[2359].end 14552.08596875
transcript.pyannote[2360].speaker SPEAKER_29
transcript.pyannote[2360].start 14552.50784375
transcript.pyannote[2360].end 14554.00971875
transcript.pyannote[2361].speaker SPEAKER_29
transcript.pyannote[2361].start 14554.07721875
transcript.pyannote[2361].end 14556.47346875
transcript.pyannote[2362].speaker SPEAKER_29
transcript.pyannote[2362].start 14556.69284375
transcript.pyannote[2362].end 14566.36221875
transcript.pyannote[2363].speaker SPEAKER_29
transcript.pyannote[2363].start 14566.68284375
transcript.pyannote[2363].end 14571.17159375
transcript.pyannote[2364].speaker SPEAKER_29
transcript.pyannote[2364].start 14571.59346875
transcript.pyannote[2364].end 14574.41159375
transcript.pyannote[2365].speaker SPEAKER_47
transcript.pyannote[2365].start 14574.78284375
transcript.pyannote[2365].end 14574.83346875
transcript.pyannote[2366].speaker SPEAKER_16
transcript.pyannote[2366].start 14574.83346875
transcript.pyannote[2366].end 14594.62784375
transcript.pyannote[2367].speaker SPEAKER_16
transcript.pyannote[2367].start 14594.94846875
transcript.pyannote[2367].end 14606.01846875
transcript.pyannote[2368].speaker SPEAKER_29
transcript.pyannote[2368].start 14606.25471875
transcript.pyannote[2368].end 14608.73534375
transcript.pyannote[2369].speaker SPEAKER_16
transcript.pyannote[2369].start 14608.73534375
transcript.pyannote[2369].end 14609.51159375
transcript.pyannote[2370].speaker SPEAKER_16
transcript.pyannote[2370].start 14610.05159375
transcript.pyannote[2370].end 14613.34221875
transcript.pyannote[2371].speaker SPEAKER_29
transcript.pyannote[2371].start 14612.78534375
transcript.pyannote[2371].end 14614.55721875
transcript.pyannote[2372].speaker SPEAKER_16
transcript.pyannote[2372].start 14614.28721875
transcript.pyannote[2372].end 14617.37534375
transcript.pyannote[2373].speaker SPEAKER_29
transcript.pyannote[2373].start 14616.53159375
transcript.pyannote[2373].end 14622.01596875
transcript.pyannote[2374].speaker SPEAKER_16
transcript.pyannote[2374].start 14617.52721875
transcript.pyannote[2374].end 14617.56096875
transcript.pyannote[2375].speaker SPEAKER_16
transcript.pyannote[2375].start 14622.18471875
transcript.pyannote[2375].end 14630.75721875
transcript.pyannote[2376].speaker SPEAKER_29
transcript.pyannote[2376].start 14628.86721875
transcript.pyannote[2376].end 14634.62159375
transcript.pyannote[2377].speaker SPEAKER_16
transcript.pyannote[2377].start 14635.63409375
transcript.pyannote[2377].end 14638.63784375
transcript.pyannote[2378].speaker SPEAKER_16
transcript.pyannote[2378].start 14639.34659375
transcript.pyannote[2378].end 14641.84409375
transcript.pyannote[2379].speaker SPEAKER_29
transcript.pyannote[2379].start 14641.84409375
transcript.pyannote[2379].end 14644.88159375
transcript.pyannote[2380].speaker SPEAKER_16
transcript.pyannote[2380].start 14645.30346875
transcript.pyannote[2380].end 14647.31159375
transcript.pyannote[2381].speaker SPEAKER_16
transcript.pyannote[2381].start 14647.49721875
transcript.pyannote[2381].end 14647.51409375
transcript.pyannote[2382].speaker SPEAKER_29
transcript.pyannote[2382].start 14647.51409375
transcript.pyannote[2382].end 14647.53096875
transcript.pyannote[2383].speaker SPEAKER_16
transcript.pyannote[2383].start 14647.53096875
transcript.pyannote[2383].end 14647.61534375
transcript.pyannote[2384].speaker SPEAKER_29
transcript.pyannote[2384].start 14647.61534375
transcript.pyannote[2384].end 14652.07034375
transcript.pyannote[2385].speaker SPEAKER_29
transcript.pyannote[2385].start 14652.34034375
transcript.pyannote[2385].end 14654.06159375
transcript.pyannote[2386].speaker SPEAKER_29
transcript.pyannote[2386].start 14654.29784375
transcript.pyannote[2386].end 14655.91784375
transcript.pyannote[2387].speaker SPEAKER_29
transcript.pyannote[2387].start 14656.55909375
transcript.pyannote[2387].end 14657.03159375
transcript.pyannote[2388].speaker SPEAKER_29
transcript.pyannote[2388].start 14659.36034375
transcript.pyannote[2388].end 14661.62159375
transcript.pyannote[2389].speaker SPEAKER_47
transcript.pyannote[2389].start 14659.47846875
transcript.pyannote[2389].end 14660.81159375
transcript.pyannote[2390].speaker SPEAKER_47
transcript.pyannote[2390].start 14661.80721875
transcript.pyannote[2390].end 14662.27971875
transcript.pyannote[2391].speaker SPEAKER_29
transcript.pyannote[2391].start 14662.21221875
transcript.pyannote[2391].end 14662.83659375
transcript.pyannote[2392].speaker SPEAKER_47
transcript.pyannote[2392].start 14662.44846875
transcript.pyannote[2392].end 14666.22846875
transcript.pyannote[2393].speaker SPEAKER_47
transcript.pyannote[2393].start 14666.43096875
transcript.pyannote[2393].end 14675.13846875
transcript.pyannote[2394].speaker SPEAKER_47
transcript.pyannote[2394].start 14675.44221875
transcript.pyannote[2394].end 14676.57284375
transcript.pyannote[2395].speaker SPEAKER_42
transcript.pyannote[2395].start 14676.57284375
transcript.pyannote[2395].end 14676.91034375
transcript.pyannote[2396].speaker SPEAKER_47
transcript.pyannote[2396].start 14676.91034375
transcript.pyannote[2396].end 14677.28159375
transcript.pyannote[2397].speaker SPEAKER_47
transcript.pyannote[2397].start 14678.59784375
transcript.pyannote[2397].end 14691.45659375
transcript.pyannote[2398].speaker SPEAKER_47
transcript.pyannote[2398].start 14693.24534375
transcript.pyannote[2398].end 14705.34471875
transcript.pyannote[2399].speaker SPEAKER_47
transcript.pyannote[2399].start 14708.01096875
transcript.pyannote[2399].end 14709.79971875
transcript.pyannote[2400].speaker SPEAKER_47
transcript.pyannote[2400].start 14710.67721875
transcript.pyannote[2400].end 14711.94284375
transcript.pyannote[2401].speaker SPEAKER_30
transcript.pyannote[2401].start 14713.14096875
transcript.pyannote[2401].end 14748.40971875
transcript.pyannote[2402].speaker SPEAKER_47
transcript.pyannote[2402].start 14748.76409375
transcript.pyannote[2402].end 14752.34159375
transcript.pyannote[2403].speaker SPEAKER_12
transcript.pyannote[2403].start 14754.41721875
transcript.pyannote[2403].end 14800.28346875
transcript.pyannote[2404].speaker SPEAKER_30
transcript.pyannote[2404].start 14802.49409375
transcript.pyannote[2404].end 14808.13034375
transcript.pyannote[2405].speaker SPEAKER_12
transcript.pyannote[2405].start 14805.53159375
transcript.pyannote[2405].end 14810.00346875
transcript.pyannote[2406].speaker SPEAKER_30
transcript.pyannote[2406].start 14808.72096875
transcript.pyannote[2406].end 14809.09221875
transcript.pyannote[2407].speaker SPEAKER_30
transcript.pyannote[2407].start 14810.03721875
transcript.pyannote[2407].end 14819.18346875
transcript.pyannote[2408].speaker SPEAKER_12
transcript.pyannote[2408].start 14810.39159375
transcript.pyannote[2408].end 14810.86409375
transcript.pyannote[2409].speaker SPEAKER_12
transcript.pyannote[2409].start 14813.26034375
transcript.pyannote[2409].end 14816.60159375
transcript.pyannote[2410].speaker SPEAKER_22
transcript.pyannote[2410].start 14816.60159375
transcript.pyannote[2410].end 14816.63534375
transcript.pyannote[2411].speaker SPEAKER_22
transcript.pyannote[2411].start 14819.18346875
transcript.pyannote[2411].end 14819.20034375
transcript.pyannote[2412].speaker SPEAKER_12
transcript.pyannote[2412].start 14819.20034375
transcript.pyannote[2412].end 14821.91721875
transcript.pyannote[2413].speaker SPEAKER_30
transcript.pyannote[2413].start 14820.06096875
transcript.pyannote[2413].end 14832.36284375
transcript.pyannote[2414].speaker SPEAKER_22
transcript.pyannote[2414].start 14821.91721875
transcript.pyannote[2414].end 14821.93409375
transcript.pyannote[2415].speaker SPEAKER_47
transcript.pyannote[2415].start 14833.25721875
transcript.pyannote[2415].end 14834.21909375
transcript.pyannote[2416].speaker SPEAKER_12
transcript.pyannote[2416].start 14833.42596875
transcript.pyannote[2416].end 14834.70846875
transcript.pyannote[2417].speaker SPEAKER_30
transcript.pyannote[2417].start 14834.21909375
transcript.pyannote[2417].end 14834.23596875
transcript.pyannote[2418].speaker SPEAKER_09
transcript.pyannote[2418].start 14834.23596875
transcript.pyannote[2418].end 14835.16409375
transcript.pyannote[2419].speaker SPEAKER_47
transcript.pyannote[2419].start 14834.70846875
transcript.pyannote[2419].end 14836.76721875
transcript.pyannote[2420].speaker SPEAKER_09
transcript.pyannote[2420].start 14836.32846875
transcript.pyannote[2420].end 14842.60596875
transcript.pyannote[2421].speaker SPEAKER_09
transcript.pyannote[2421].start 14842.82534375
transcript.pyannote[2421].end 14843.98971875
transcript.pyannote[2422].speaker SPEAKER_09
transcript.pyannote[2422].start 14844.52971875
transcript.pyannote[2422].end 14846.48721875
transcript.pyannote[2423].speaker SPEAKER_09
transcript.pyannote[2423].start 14846.67284375
transcript.pyannote[2423].end 14857.47284375
transcript.pyannote[2424].speaker SPEAKER_09
transcript.pyannote[2424].start 14857.89471875
transcript.pyannote[2424].end 14859.86909375
transcript.pyannote[2425].speaker SPEAKER_09
transcript.pyannote[2425].start 14860.20659375
transcript.pyannote[2425].end 14862.88971875
transcript.pyannote[2426].speaker SPEAKER_09
transcript.pyannote[2426].start 14863.14284375
transcript.pyannote[2426].end 14885.01284375
transcript.pyannote[2427].speaker SPEAKER_09
transcript.pyannote[2427].start 14885.60346875
transcript.pyannote[2427].end 14939.29971875
transcript.pyannote[2428].speaker SPEAKER_09
transcript.pyannote[2428].start 14939.60346875
transcript.pyannote[2428].end 14962.11471875
transcript.pyannote[2429].speaker SPEAKER_47
transcript.pyannote[2429].start 14963.16096875
transcript.pyannote[2429].end 14966.41784375
transcript.pyannote[2430].speaker SPEAKER_09
transcript.pyannote[2430].start 14966.63721875
transcript.pyannote[2430].end 14966.65409375
transcript.pyannote[2431].speaker SPEAKER_28
transcript.pyannote[2431].start 14966.65409375
transcript.pyannote[2431].end 14967.29534375
transcript.pyannote[2432].speaker SPEAKER_28
transcript.pyannote[2432].start 14967.34596875
transcript.pyannote[2432].end 14980.18784375
transcript.pyannote[2433].speaker SPEAKER_28
transcript.pyannote[2433].start 14980.22159375
transcript.pyannote[2433].end 15017.51534375
transcript.pyannote[2434].speaker SPEAKER_47
transcript.pyannote[2434].start 15019.45596875
transcript.pyannote[2434].end 15023.13471875
transcript.pyannote[2435].speaker SPEAKER_09
transcript.pyannote[2435].start 15023.13471875
transcript.pyannote[2435].end 15029.59784375
transcript.pyannote[2436].speaker SPEAKER_09
transcript.pyannote[2436].start 15029.95221875
transcript.pyannote[2436].end 15035.65596875
transcript.pyannote[2437].speaker SPEAKER_09
transcript.pyannote[2437].start 15036.16221875
transcript.pyannote[2437].end 15038.76096875
transcript.pyannote[2438].speaker SPEAKER_09
transcript.pyannote[2438].start 15039.60471875
transcript.pyannote[2438].end 15039.85784375
transcript.pyannote[2439].speaker SPEAKER_42
transcript.pyannote[2439].start 15039.63846875
transcript.pyannote[2439].end 15039.84096875
transcript.pyannote[2440].speaker SPEAKER_42
transcript.pyannote[2440].start 15039.85784375
transcript.pyannote[2440].end 15040.38096875
transcript.pyannote[2441].speaker SPEAKER_09
transcript.pyannote[2441].start 15040.17846875
transcript.pyannote[2441].end 15046.47284375
transcript.pyannote[2442].speaker SPEAKER_09
transcript.pyannote[2442].start 15046.97909375
transcript.pyannote[2442].end 15053.37471875
transcript.pyannote[2443].speaker SPEAKER_47
transcript.pyannote[2443].start 15053.61096875
transcript.pyannote[2443].end 15055.31534375
transcript.pyannote[2444].speaker SPEAKER_09
transcript.pyannote[2444].start 15054.35346875
transcript.pyannote[2444].end 15055.19721875
transcript.pyannote[2445].speaker SPEAKER_15
transcript.pyannote[2445].start 15055.19721875
transcript.pyannote[2445].end 15055.24784375
transcript.pyannote[2446].speaker SPEAKER_09
transcript.pyannote[2446].start 15055.24784375
transcript.pyannote[2446].end 15055.28159375
transcript.pyannote[2447].speaker SPEAKER_15
transcript.pyannote[2447].start 15055.31534375
transcript.pyannote[2447].end 15058.82534375
transcript.pyannote[2448].speaker SPEAKER_47
transcript.pyannote[2448].start 15056.49659375
transcript.pyannote[2448].end 15057.25596875
transcript.pyannote[2449].speaker SPEAKER_09
transcript.pyannote[2449].start 15058.82534375
transcript.pyannote[2449].end 15058.85909375
transcript.pyannote[2450].speaker SPEAKER_28
transcript.pyannote[2450].start 15058.82534375
transcript.pyannote[2450].end 15060.74909375
transcript.pyannote[2451].speaker SPEAKER_15
transcript.pyannote[2451].start 15058.85909375
transcript.pyannote[2451].end 15059.65221875
transcript.pyannote[2452].speaker SPEAKER_47
transcript.pyannote[2452].start 15059.65221875
transcript.pyannote[2452].end 15059.78721875
transcript.pyannote[2453].speaker SPEAKER_15
transcript.pyannote[2453].start 15059.78721875
transcript.pyannote[2453].end 15060.20909375
transcript.pyannote[2454].speaker SPEAKER_28
transcript.pyannote[2454].start 15061.08659375
transcript.pyannote[2454].end 15066.73971875
transcript.pyannote[2455].speaker SPEAKER_28
transcript.pyannote[2455].start 15066.87471875
transcript.pyannote[2455].end 15069.74346875
transcript.pyannote[2456].speaker SPEAKER_47
transcript.pyannote[2456].start 15070.45221875
transcript.pyannote[2456].end 15078.60284375
transcript.pyannote[2457].speaker SPEAKER_42
transcript.pyannote[2457].start 15078.29909375
transcript.pyannote[2457].end 15078.46784375
transcript.pyannote[2458].speaker SPEAKER_42
transcript.pyannote[2458].start 15078.67034375
transcript.pyannote[2458].end 15081.64034375
transcript.pyannote[2459].speaker SPEAKER_47
transcript.pyannote[2459].start 15082.16346875
transcript.pyannote[2459].end 15093.30096875
transcript.pyannote[2460].speaker SPEAKER_28
transcript.pyannote[2460].start 15092.64284375
transcript.pyannote[2460].end 15092.91284375
transcript.pyannote[2461].speaker SPEAKER_47
transcript.pyannote[2461].start 15093.73971875
transcript.pyannote[2461].end 15094.63409375
transcript.pyannote[2462].speaker SPEAKER_28
transcript.pyannote[2462].start 15093.80721875
transcript.pyannote[2462].end 15097.18221875
transcript.pyannote[2463].speaker SPEAKER_47
transcript.pyannote[2463].start 15097.75596875
transcript.pyannote[2463].end 15106.19346875
transcript.pyannote[2464].speaker SPEAKER_28
transcript.pyannote[2464].start 15101.90721875
transcript.pyannote[2464].end 15102.64971875
transcript.pyannote[2465].speaker SPEAKER_28
transcript.pyannote[2465].start 15102.93659375
transcript.pyannote[2465].end 15103.64534375
transcript.pyannote[2466].speaker SPEAKER_28
transcript.pyannote[2466].start 15104.28659375
transcript.pyannote[2466].end 15104.35409375
transcript.pyannote[2467].speaker SPEAKER_28
transcript.pyannote[2467].start 15105.33284375
transcript.pyannote[2467].end 15113.38221875
transcript.pyannote[2468].speaker SPEAKER_47
transcript.pyannote[2468].start 15112.58909375
transcript.pyannote[2468].end 15136.78784375
transcript.pyannote[2469].speaker SPEAKER_28
transcript.pyannote[2469].start 15113.60159375
transcript.pyannote[2469].end 15113.90534375
transcript.pyannote[2470].speaker SPEAKER_47
transcript.pyannote[2470].start 15136.95659375
transcript.pyannote[2470].end 15137.09159375
transcript.pyannote[2471].speaker SPEAKER_18
transcript.pyannote[2471].start 15137.04096875
transcript.pyannote[2471].end 15137.07471875
transcript.pyannote[2472].speaker SPEAKER_42
transcript.pyannote[2472].start 15137.07471875
transcript.pyannote[2472].end 15137.14221875
transcript.pyannote[2473].speaker SPEAKER_47
transcript.pyannote[2473].start 15137.14221875
transcript.pyannote[2473].end 15140.14596875
transcript.pyannote[2474].speaker SPEAKER_42
transcript.pyannote[2474].start 15137.15909375
transcript.pyannote[2474].end 15137.24346875
transcript.pyannote[2475].speaker SPEAKER_18
transcript.pyannote[2475].start 15137.31096875
transcript.pyannote[2475].end 15137.44596875
transcript.pyannote[2476].speaker SPEAKER_47
transcript.pyannote[2476].start 15142.30596875
transcript.pyannote[2476].end 15143.63909375
transcript.pyannote[2477].speaker SPEAKER_47
transcript.pyannote[2477].start 15143.65596875
transcript.pyannote[2477].end 15143.72346875
transcript.pyannote[2478].speaker SPEAKER_17
transcript.pyannote[2478].start 15143.72346875
transcript.pyannote[2478].end 15144.41534375
transcript.pyannote[2479].speaker SPEAKER_47
transcript.pyannote[2479].start 15144.41534375
transcript.pyannote[2479].end 15144.49971875
transcript.pyannote[2480].speaker SPEAKER_47
transcript.pyannote[2480].start 15144.56721875
transcript.pyannote[2480].end 15144.90471875
transcript.pyannote[2481].speaker SPEAKER_47
transcript.pyannote[2481].start 15145.41096875
transcript.pyannote[2481].end 15150.23721875
transcript.pyannote[2482].speaker SPEAKER_47
transcript.pyannote[2482].start 15152.36346875
transcript.pyannote[2482].end 15160.90221875
transcript.pyannote[2483].speaker SPEAKER_22
transcript.pyannote[2483].start 15160.69971875
transcript.pyannote[2483].end 15206.71784375
transcript.pyannote[2484].speaker SPEAKER_22
transcript.pyannote[2484].start 15206.85284375
transcript.pyannote[2484].end 15214.41284375
transcript.pyannote[2485].speaker SPEAKER_47
transcript.pyannote[2485].start 15214.41284375
transcript.pyannote[2485].end 15214.46346875
transcript.pyannote[2486].speaker SPEAKER_22
transcript.pyannote[2486].start 15215.88096875
transcript.pyannote[2486].end 15216.48846875
transcript.pyannote[2487].speaker SPEAKER_47
transcript.pyannote[2487].start 15217.04534375
transcript.pyannote[2487].end 15218.44596875
transcript.pyannote[2488].speaker SPEAKER_22
transcript.pyannote[2488].start 15217.93971875
transcript.pyannote[2488].end 15217.99034375
transcript.pyannote[2489].speaker SPEAKER_22
transcript.pyannote[2489].start 15218.44596875
transcript.pyannote[2489].end 15219.39096875
transcript.pyannote[2490].speaker SPEAKER_22
transcript.pyannote[2490].start 15221.23034375
transcript.pyannote[2490].end 15221.58471875
transcript.pyannote[2491].speaker SPEAKER_22
transcript.pyannote[2491].start 15221.77034375
transcript.pyannote[2491].end 15226.78221875
transcript.pyannote[2492].speaker SPEAKER_43
transcript.pyannote[2492].start 15225.19596875
transcript.pyannote[2492].end 15245.68221875
transcript.pyannote[2493].speaker SPEAKER_42
transcript.pyannote[2493].start 15241.85159375
transcript.pyannote[2493].end 15243.50534375
transcript.pyannote[2494].speaker SPEAKER_43
transcript.pyannote[2494].start 15245.93534375
transcript.pyannote[2494].end 15261.96659375
transcript.pyannote[2495].speaker SPEAKER_47
transcript.pyannote[2495].start 15260.43096875
transcript.pyannote[2495].end 15260.44784375
transcript.pyannote[2496].speaker SPEAKER_22
transcript.pyannote[2496].start 15260.44784375
transcript.pyannote[2496].end 15264.78471875
transcript.pyannote[2497].speaker SPEAKER_42
transcript.pyannote[2497].start 15261.96659375
transcript.pyannote[2497].end 15262.91159375
transcript.pyannote[2498].speaker SPEAKER_42
transcript.pyannote[2498].start 15263.21534375
transcript.pyannote[2498].end 15263.40096875
transcript.pyannote[2499].speaker SPEAKER_43
transcript.pyannote[2499].start 15264.63284375
transcript.pyannote[2499].end 15264.98721875
transcript.pyannote[2500].speaker SPEAKER_42
transcript.pyannote[2500].start 15264.98721875
transcript.pyannote[2500].end 15265.03784375
transcript.pyannote[2501].speaker SPEAKER_22
transcript.pyannote[2501].start 15265.03784375
transcript.pyannote[2501].end 15265.08846875
transcript.pyannote[2502].speaker SPEAKER_22
transcript.pyannote[2502].start 15265.20659375
transcript.pyannote[2502].end 15265.44284375
transcript.pyannote[2503].speaker SPEAKER_42
transcript.pyannote[2503].start 15265.44284375
transcript.pyannote[2503].end 15265.45971875
transcript.pyannote[2504].speaker SPEAKER_09
transcript.pyannote[2504].start 15265.66221875
transcript.pyannote[2504].end 15272.74971875
transcript.pyannote[2505].speaker SPEAKER_47
transcript.pyannote[2505].start 15273.67784375
transcript.pyannote[2505].end 15274.09971875
transcript.pyannote[2506].speaker SPEAKER_47
transcript.pyannote[2506].start 15274.33596875
transcript.pyannote[2506].end 15274.38659375
transcript.pyannote[2507].speaker SPEAKER_09
transcript.pyannote[2507].start 15274.38659375
transcript.pyannote[2507].end 15275.16284375
transcript.pyannote[2508].speaker SPEAKER_47
transcript.pyannote[2508].start 15275.16284375
transcript.pyannote[2508].end 15277.03596875
transcript.pyannote[2509].speaker SPEAKER_15
transcript.pyannote[2509].start 15277.76159375
transcript.pyannote[2509].end 15279.53346875
transcript.pyannote[2510].speaker SPEAKER_15
transcript.pyannote[2510].start 15279.55034375
transcript.pyannote[2510].end 15280.76534375
transcript.pyannote[2511].speaker SPEAKER_15
transcript.pyannote[2511].start 15281.44034375
transcript.pyannote[2511].end 15284.37659375
transcript.pyannote[2512].speaker SPEAKER_15
transcript.pyannote[2512].start 15285.45659375
transcript.pyannote[2512].end 15302.09534375
transcript.pyannote[2513].speaker SPEAKER_22
transcript.pyannote[2513].start 15301.33596875
transcript.pyannote[2513].end 15310.81971875
transcript.pyannote[2514].speaker SPEAKER_15
transcript.pyannote[2514].start 15308.76096875
transcript.pyannote[2514].end 15315.73034375
transcript.pyannote[2515].speaker SPEAKER_22
transcript.pyannote[2515].start 15314.31284375
transcript.pyannote[2515].end 15317.72159375
transcript.pyannote[2516].speaker SPEAKER_15
transcript.pyannote[2516].start 15317.41784375
transcript.pyannote[2516].end 15323.96534375
transcript.pyannote[2517].speaker SPEAKER_15
transcript.pyannote[2517].start 15324.30284375
transcript.pyannote[2517].end 15325.04534375
transcript.pyannote[2518].speaker SPEAKER_15
transcript.pyannote[2518].start 15325.18034375
transcript.pyannote[2518].end 15334.76534375
transcript.pyannote[2519].speaker SPEAKER_15
transcript.pyannote[2519].start 15335.28846875
transcript.pyannote[2519].end 15337.17846875
transcript.pyannote[2520].speaker SPEAKER_15
transcript.pyannote[2520].start 15337.34721875
transcript.pyannote[2520].end 15339.57471875
transcript.pyannote[2521].speaker SPEAKER_15
transcript.pyannote[2521].start 15340.65471875
transcript.pyannote[2521].end 15349.07534375
transcript.pyannote[2522].speaker SPEAKER_15
transcript.pyannote[2522].start 15349.64909375
transcript.pyannote[2522].end 15361.30971875
transcript.pyannote[2523].speaker SPEAKER_15
transcript.pyannote[2523].start 15362.00159375
transcript.pyannote[2523].end 15364.75221875
transcript.pyannote[2524].speaker SPEAKER_15
transcript.pyannote[2524].start 15365.14034375
transcript.pyannote[2524].end 15370.01721875
transcript.pyannote[2525].speaker SPEAKER_15
transcript.pyannote[2525].start 15370.60784375
transcript.pyannote[2525].end 15374.16846875
transcript.pyannote[2526].speaker SPEAKER_15
transcript.pyannote[2526].start 15374.67471875
transcript.pyannote[2526].end 15410.24721875
transcript.pyannote[2527].speaker SPEAKER_15
transcript.pyannote[2527].start 15410.95596875
transcript.pyannote[2527].end 15418.76909375
transcript.pyannote[2528].speaker SPEAKER_15
transcript.pyannote[2528].start 15419.29221875
transcript.pyannote[2528].end 15419.76471875
transcript.pyannote[2529].speaker SPEAKER_15
transcript.pyannote[2529].start 15420.40596875
transcript.pyannote[2529].end 15425.75534375
transcript.pyannote[2530].speaker SPEAKER_15
transcript.pyannote[2530].start 15425.82284375
transcript.pyannote[2530].end 15427.67909375
transcript.pyannote[2531].speaker SPEAKER_15
transcript.pyannote[2531].start 15428.16846875
transcript.pyannote[2531].end 15429.11346875
transcript.pyannote[2532].speaker SPEAKER_15
transcript.pyannote[2532].start 15429.28221875
transcript.pyannote[2532].end 15432.99471875
transcript.pyannote[2533].speaker SPEAKER_47
transcript.pyannote[2533].start 15433.24784375
transcript.pyannote[2533].end 15434.53034375
transcript.pyannote[2534].speaker SPEAKER_09
transcript.pyannote[2534].start 15434.07471875
transcript.pyannote[2534].end 15434.10846875
transcript.pyannote[2535].speaker SPEAKER_22
transcript.pyannote[2535].start 15434.10846875
transcript.pyannote[2535].end 15434.26034375
transcript.pyannote[2536].speaker SPEAKER_09
transcript.pyannote[2536].start 15434.26034375
transcript.pyannote[2536].end 15434.27721875
transcript.pyannote[2537].speaker SPEAKER_22
transcript.pyannote[2537].start 15434.53034375
transcript.pyannote[2537].end 15434.54721875
transcript.pyannote[2538].speaker SPEAKER_22
transcript.pyannote[2538].start 15434.56409375
transcript.pyannote[2538].end 15435.62721875
transcript.pyannote[2539].speaker SPEAKER_22
transcript.pyannote[2539].start 15435.96471875
transcript.pyannote[2539].end 15436.52159375
transcript.pyannote[2540].speaker SPEAKER_22
transcript.pyannote[2540].start 15436.84221875
transcript.pyannote[2540].end 15437.65221875
transcript.pyannote[2541].speaker SPEAKER_09
transcript.pyannote[2541].start 15438.81659375
transcript.pyannote[2541].end 15440.58846875
transcript.pyannote[2542].speaker SPEAKER_47
transcript.pyannote[2542].start 15440.35221875
transcript.pyannote[2542].end 15440.36909375
transcript.pyannote[2543].speaker SPEAKER_32
transcript.pyannote[2543].start 15440.36909375
transcript.pyannote[2543].end 15440.53784375
transcript.pyannote[2544].speaker SPEAKER_32
transcript.pyannote[2544].start 15440.58846875
transcript.pyannote[2544].end 15441.51659375
transcript.pyannote[2545].speaker SPEAKER_09
transcript.pyannote[2545].start 15441.51659375
transcript.pyannote[2545].end 15441.95534375
transcript.pyannote[2546].speaker SPEAKER_32
transcript.pyannote[2546].start 15441.53346875
transcript.pyannote[2546].end 15441.60096875
transcript.pyannote[2547].speaker SPEAKER_24
transcript.pyannote[2547].start 15441.60096875
transcript.pyannote[2547].end 15441.98909375
transcript.pyannote[2548].speaker SPEAKER_32
transcript.pyannote[2548].start 15441.98909375
transcript.pyannote[2548].end 15442.00596875
transcript.pyannote[2549].speaker SPEAKER_24
transcript.pyannote[2549].start 15442.00596875
transcript.pyannote[2549].end 15443.28846875
transcript.pyannote[2550].speaker SPEAKER_32
transcript.pyannote[2550].start 15443.28846875
transcript.pyannote[2550].end 15443.38971875
transcript.pyannote[2551].speaker SPEAKER_32
transcript.pyannote[2551].start 15443.42346875
transcript.pyannote[2551].end 15443.47409375
transcript.pyannote[2552].speaker SPEAKER_24
transcript.pyannote[2552].start 15443.47409375
transcript.pyannote[2552].end 15443.69346875
transcript.pyannote[2553].speaker SPEAKER_32
transcript.pyannote[2553].start 15443.69346875
transcript.pyannote[2553].end 15443.72721875
transcript.pyannote[2554].speaker SPEAKER_22
transcript.pyannote[2554].start 15443.72721875
transcript.pyannote[2554].end 15443.77784375
transcript.pyannote[2555].speaker SPEAKER_24
transcript.pyannote[2555].start 15443.77784375
transcript.pyannote[2555].end 15443.92971875
transcript.pyannote[2556].speaker SPEAKER_32
transcript.pyannote[2556].start 15443.92971875
transcript.pyannote[2556].end 15443.99721875
transcript.pyannote[2557].speaker SPEAKER_24
transcript.pyannote[2557].start 15448.50284375
transcript.pyannote[2557].end 15451.27034375
transcript.pyannote[2558].speaker SPEAKER_09
transcript.pyannote[2558].start 15449.76846875
transcript.pyannote[2558].end 15450.73034375
transcript.pyannote[2559].speaker SPEAKER_24
transcript.pyannote[2559].start 15452.90721875
transcript.pyannote[2559].end 15453.10971875
transcript.pyannote[2560].speaker SPEAKER_42
transcript.pyannote[2560].start 15453.10971875
transcript.pyannote[2560].end 15453.12659375
transcript.pyannote[2561].speaker SPEAKER_43
transcript.pyannote[2561].start 15454.24034375
transcript.pyannote[2561].end 15461.17596875
transcript.pyannote[2562].speaker SPEAKER_42
transcript.pyannote[2562].start 15461.61471875
transcript.pyannote[2562].end 15461.78346875
transcript.pyannote[2563].speaker SPEAKER_43
transcript.pyannote[2563].start 15461.78346875
transcript.pyannote[2563].end 15464.12909375
transcript.pyannote[2564].speaker SPEAKER_42
transcript.pyannote[2564].start 15462.64409375
transcript.pyannote[2564].end 15462.93096875
transcript.pyannote[2565].speaker SPEAKER_43
transcript.pyannote[2565].start 15464.31471875
transcript.pyannote[2565].end 15465.58034375
transcript.pyannote[2566].speaker SPEAKER_42
transcript.pyannote[2566].start 15464.36534375
transcript.pyannote[2566].end 15465.19221875
transcript.pyannote[2567].speaker SPEAKER_43
transcript.pyannote[2567].start 15466.76159375
transcript.pyannote[2567].end 15466.77846875
transcript.pyannote[2568].speaker SPEAKER_47
transcript.pyannote[2568].start 15466.77846875
transcript.pyannote[2568].end 15491.75346875
transcript.pyannote[2569].speaker SPEAKER_47
transcript.pyannote[2569].start 15492.91784375
transcript.pyannote[2569].end 15497.55846875
transcript.pyannote[2570].speaker SPEAKER_42
transcript.pyannote[2570].start 15495.98909375
transcript.pyannote[2570].end 15496.05659375
transcript.pyannote[2571].speaker SPEAKER_47
transcript.pyannote[2571].start 15497.77784375
transcript.pyannote[2571].end 15501.59159375
transcript.pyannote[2572].speaker SPEAKER_47
transcript.pyannote[2572].start 15506.06346875
transcript.pyannote[2572].end 15511.05846875
transcript.pyannote[2573].speaker SPEAKER_47
transcript.pyannote[2573].start 15514.56846875
transcript.pyannote[2573].end 15516.40784375
transcript.pyannote[2574].speaker SPEAKER_17
transcript.pyannote[2574].start 15514.68659375
transcript.pyannote[2574].end 15528.87846875
transcript.pyannote[2575].speaker SPEAKER_47
transcript.pyannote[2575].start 15529.80659375
transcript.pyannote[2575].end 15530.16096875
transcript.pyannote[2576].speaker SPEAKER_47
transcript.pyannote[2576].start 15530.83596875
transcript.pyannote[2576].end 15534.39659375
transcript.pyannote[2577].speaker SPEAKER_47
transcript.pyannote[2577].start 15534.51471875
transcript.pyannote[2577].end 15535.35846875
transcript.pyannote[2578].speaker SPEAKER_47
transcript.pyannote[2578].start 15535.64534375
transcript.pyannote[2578].end 15539.32409375
transcript.pyannote[2579].speaker SPEAKER_47
transcript.pyannote[2579].start 15539.96534375
transcript.pyannote[2579].end 15542.41221875
transcript.pyannote[2580].speaker SPEAKER_17
transcript.pyannote[2580].start 15543.03659375
transcript.pyannote[2580].end 15545.14596875
transcript.pyannote[2581].speaker SPEAKER_47
transcript.pyannote[2581].start 15545.58471875
transcript.pyannote[2581].end 15546.83346875
transcript.pyannote[2582].speaker SPEAKER_17
transcript.pyannote[2582].start 15547.94721875
transcript.pyannote[2582].end 15557.16096875
transcript.pyannote[2583].speaker SPEAKER_43
transcript.pyannote[2583].start 15558.02159375
transcript.pyannote[2583].end 15558.40971875
transcript.pyannote[2584].speaker SPEAKER_17
transcript.pyannote[2584].start 15558.67971875
transcript.pyannote[2584].end 15560.45159375
transcript.pyannote[2585].speaker SPEAKER_17
transcript.pyannote[2585].start 15563.08409375
transcript.pyannote[2585].end 15563.10096875
transcript.pyannote[2586].speaker SPEAKER_47
transcript.pyannote[2586].start 15563.10096875
transcript.pyannote[2586].end 15564.43409375
transcript.pyannote[2587].speaker SPEAKER_17
transcript.pyannote[2587].start 15564.43409375
transcript.pyannote[2587].end 15564.46784375
transcript.pyannote[2588].speaker SPEAKER_47
transcript.pyannote[2588].start 15564.46784375
transcript.pyannote[2588].end 15564.53534375
transcript.pyannote[2589].speaker SPEAKER_17
transcript.pyannote[2589].start 15565.53096875
transcript.pyannote[2589].end 15565.54784375
transcript.pyannote[2590].speaker SPEAKER_47
transcript.pyannote[2590].start 15565.54784375
transcript.pyannote[2590].end 15565.81784375
transcript.pyannote[2591].speaker SPEAKER_17
transcript.pyannote[2591].start 15565.81784375
transcript.pyannote[2591].end 15565.85159375
transcript.pyannote[2592].speaker SPEAKER_47
transcript.pyannote[2592].start 15565.85159375
transcript.pyannote[2592].end 15567.57284375
transcript.pyannote[2593].speaker SPEAKER_17
transcript.pyannote[2593].start 15565.86846875
transcript.pyannote[2593].end 15568.45034375
transcript.pyannote[2594].speaker SPEAKER_17
transcript.pyannote[2594].start 15568.87221875
transcript.pyannote[2594].end 15569.22659375
transcript.pyannote[2595].speaker SPEAKER_17
transcript.pyannote[2595].start 15570.03659375
transcript.pyannote[2595].end 15570.93096875
transcript.pyannote[2596].speaker SPEAKER_47
transcript.pyannote[2596].start 15570.08721875
transcript.pyannote[2596].end 15570.57659375
transcript.pyannote[2597].speaker SPEAKER_17
transcript.pyannote[2597].start 15571.67346875
transcript.pyannote[2597].end 15572.19659375
transcript.pyannote[2598].speaker SPEAKER_17
transcript.pyannote[2598].start 15572.63534375
transcript.pyannote[2598].end 15575.20034375
transcript.pyannote[2599].speaker SPEAKER_44
transcript.pyannote[2599].start 15576.29721875
transcript.pyannote[2599].end 15585.10596875
transcript.pyannote[2600].speaker SPEAKER_44
transcript.pyannote[2600].start 15585.64596875
transcript.pyannote[2600].end 15589.54409375
transcript.pyannote[2601].speaker SPEAKER_44
transcript.pyannote[2601].start 15590.11784375
transcript.pyannote[2601].end 15591.07971875
transcript.pyannote[2602].speaker SPEAKER_44
transcript.pyannote[2602].start 15591.72096875
transcript.pyannote[2602].end 15592.63221875
transcript.pyannote[2603].speaker SPEAKER_44
transcript.pyannote[2603].start 15592.71659375
transcript.pyannote[2603].end 15594.04971875
transcript.pyannote[2604].speaker SPEAKER_44
transcript.pyannote[2604].start 15594.79221875
transcript.pyannote[2604].end 15596.86784375
transcript.pyannote[2605].speaker SPEAKER_47
transcript.pyannote[2605].start 15595.80471875
transcript.pyannote[2605].end 15596.26034375
transcript.pyannote[2606].speaker SPEAKER_47
transcript.pyannote[2606].start 15596.86784375
transcript.pyannote[2606].end 15596.91846875
transcript.pyannote[2607].speaker SPEAKER_47
transcript.pyannote[2607].start 15597.05346875
transcript.pyannote[2607].end 15604.27596875
transcript.pyannote[2608].speaker SPEAKER_17
transcript.pyannote[2608].start 15604.27596875
transcript.pyannote[2608].end 15604.29284375
transcript.pyannote[2609].speaker SPEAKER_47
transcript.pyannote[2609].start 15604.29284375
transcript.pyannote[2609].end 15604.42784375
transcript.pyannote[2610].speaker SPEAKER_17
transcript.pyannote[2610].start 15604.42784375
transcript.pyannote[2610].end 15606.21659375
transcript.pyannote[2611].speaker SPEAKER_17
transcript.pyannote[2611].start 15607.34721875
transcript.pyannote[2611].end 15610.84034375
transcript.pyannote[2612].speaker SPEAKER_47
transcript.pyannote[2612].start 15608.84909375
transcript.pyannote[2612].end 15610.72221875
transcript.pyannote[2613].speaker SPEAKER_44
transcript.pyannote[2613].start 15610.72221875
transcript.pyannote[2613].end 15610.80659375
transcript.pyannote[2614].speaker SPEAKER_44
transcript.pyannote[2614].start 15610.84034375
transcript.pyannote[2614].end 15615.41346875
transcript.pyannote[2615].speaker SPEAKER_17
transcript.pyannote[2615].start 15615.05909375
transcript.pyannote[2615].end 15616.78034375
transcript.pyannote[2616].speaker SPEAKER_44
transcript.pyannote[2616].start 15616.71284375
transcript.pyannote[2616].end 15625.85909375
transcript.pyannote[2617].speaker SPEAKER_00
transcript.pyannote[2617].start 15618.63659375
transcript.pyannote[2617].end 15618.65346875
transcript.pyannote[2618].speaker SPEAKER_17
transcript.pyannote[2618].start 15618.65346875
transcript.pyannote[2618].end 15618.68721875
transcript.pyannote[2619].speaker SPEAKER_00
transcript.pyannote[2619].start 15618.68721875
transcript.pyannote[2619].end 15619.02471875
transcript.pyannote[2620].speaker SPEAKER_42
transcript.pyannote[2620].start 15619.02471875
transcript.pyannote[2620].end 15619.27784375
transcript.pyannote[2621].speaker SPEAKER_00
transcript.pyannote[2621].start 15619.27784375
transcript.pyannote[2621].end 15619.49721875
transcript.pyannote[2622].speaker SPEAKER_37
transcript.pyannote[2622].start 15628.55909375
transcript.pyannote[2622].end 15646.53096875
transcript.pyannote[2623].speaker SPEAKER_44
transcript.pyannote[2623].start 15647.35784375
transcript.pyannote[2623].end 15647.37471875
transcript.pyannote[2624].speaker SPEAKER_37
transcript.pyannote[2624].start 15647.37471875
transcript.pyannote[2624].end 15648.26909375
transcript.pyannote[2625].speaker SPEAKER_37
transcript.pyannote[2625].start 15648.45471875
transcript.pyannote[2625].end 15652.48784375
transcript.pyannote[2626].speaker SPEAKER_44
transcript.pyannote[2626].start 15651.89721875
transcript.pyannote[2626].end 15652.45409375
transcript.pyannote[2627].speaker SPEAKER_44
transcript.pyannote[2627].start 15652.48784375
transcript.pyannote[2627].end 15653.14596875
transcript.pyannote[2628].speaker SPEAKER_37
transcript.pyannote[2628].start 15653.14596875
transcript.pyannote[2628].end 15659.17034375
transcript.pyannote[2629].speaker SPEAKER_44
transcript.pyannote[2629].start 15658.39409375
transcript.pyannote[2629].end 15663.91221875
transcript.pyannote[2630].speaker SPEAKER_37
transcript.pyannote[2630].start 15660.46971875
transcript.pyannote[2630].end 15660.72284375
transcript.pyannote[2631].speaker SPEAKER_17
transcript.pyannote[2631].start 15660.72284375
transcript.pyannote[2631].end 15661.14471875
transcript.pyannote[2632].speaker SPEAKER_17
transcript.pyannote[2632].start 15662.96721875
transcript.pyannote[2632].end 15663.65909375
transcript.pyannote[2633].speaker SPEAKER_47
transcript.pyannote[2633].start 15663.91221875
transcript.pyannote[2633].end 15664.87409375
transcript.pyannote[2634].speaker SPEAKER_17
transcript.pyannote[2634].start 15665.54909375
transcript.pyannote[2634].end 15668.33346875
transcript.pyannote[2635].speaker SPEAKER_47
transcript.pyannote[2635].start 15668.73846875
transcript.pyannote[2635].end 15672.65346875
transcript.pyannote[2636].speaker SPEAKER_17
transcript.pyannote[2636].start 15672.65346875
transcript.pyannote[2636].end 15674.34096875
transcript.pyannote[2637].speaker SPEAKER_47
transcript.pyannote[2637].start 15674.34096875
transcript.pyannote[2637].end 15680.38221875
transcript.pyannote[2638].speaker SPEAKER_17
transcript.pyannote[2638].start 15680.38221875
transcript.pyannote[2638].end 15680.41596875
transcript.pyannote[2639].speaker SPEAKER_47
transcript.pyannote[2639].start 15680.41596875
transcript.pyannote[2639].end 15680.48346875
transcript.pyannote[2640].speaker SPEAKER_17
transcript.pyannote[2640].start 15680.48346875
transcript.pyannote[2640].end 15680.87159375
transcript.pyannote[2641].speaker SPEAKER_47
transcript.pyannote[2641].start 15680.87159375
transcript.pyannote[2641].end 15680.88846875
transcript.pyannote[2642].speaker SPEAKER_17
transcript.pyannote[2642].start 15680.88846875
transcript.pyannote[2642].end 15680.97284375
transcript.pyannote[2643].speaker SPEAKER_47
transcript.pyannote[2643].start 15680.97284375
transcript.pyannote[2643].end 15681.02346875
transcript.pyannote[2644].speaker SPEAKER_47
transcript.pyannote[2644].start 15681.36096875
transcript.pyannote[2644].end 15682.59284375
transcript.pyannote[2645].speaker SPEAKER_17
transcript.pyannote[2645].start 15682.59284375
transcript.pyannote[2645].end 15683.03159375
transcript.pyannote[2646].speaker SPEAKER_47
transcript.pyannote[2646].start 15683.03159375
transcript.pyannote[2646].end 15683.18346875
transcript.pyannote[2647].speaker SPEAKER_47
transcript.pyannote[2647].start 15683.41971875
transcript.pyannote[2647].end 15684.53346875
transcript.pyannote[2648].speaker SPEAKER_17
transcript.pyannote[2648].start 15687.92534375
transcript.pyannote[2648].end 15691.55346875
transcript.pyannote[2649].speaker SPEAKER_17
transcript.pyannote[2649].start 15691.89096875
transcript.pyannote[2649].end 15692.54909375
transcript.pyannote[2650].speaker SPEAKER_17
transcript.pyannote[2650].start 15692.78534375
transcript.pyannote[2650].end 15696.75096875
transcript.pyannote[2651].speaker SPEAKER_47
transcript.pyannote[2651].start 15698.21909375
transcript.pyannote[2651].end 15698.55659375
transcript.pyannote[2652].speaker SPEAKER_47
transcript.pyannote[2652].start 15699.97409375
transcript.pyannote[2652].end 15702.04971875
transcript.pyannote[2653].speaker SPEAKER_47
transcript.pyannote[2653].start 15702.08346875
transcript.pyannote[2653].end 15702.26909375
transcript.pyannote[2654].speaker SPEAKER_47
transcript.pyannote[2654].start 15702.79221875
transcript.pyannote[2654].end 15703.12971875
transcript.pyannote[2655].speaker SPEAKER_47
transcript.pyannote[2655].start 15703.38284375
transcript.pyannote[2655].end 15703.43346875
transcript.pyannote[2656].speaker SPEAKER_17
transcript.pyannote[2656].start 15703.43346875
transcript.pyannote[2656].end 15703.48409375
transcript.pyannote[2657].speaker SPEAKER_47
transcript.pyannote[2657].start 15703.48409375
transcript.pyannote[2657].end 15704.88471875
transcript.pyannote[2658].speaker SPEAKER_17
transcript.pyannote[2658].start 15703.53471875
transcript.pyannote[2658].end 15703.78784375
transcript.pyannote[2659].speaker SPEAKER_17
transcript.pyannote[2659].start 15704.59784375
transcript.pyannote[2659].end 15705.17159375
transcript.pyannote[2660].speaker SPEAKER_17
transcript.pyannote[2660].start 15705.64409375
transcript.pyannote[2660].end 15706.38659375
transcript.pyannote[2661].speaker SPEAKER_47
transcript.pyannote[2661].start 15706.38659375
transcript.pyannote[2661].end 15706.40346875
transcript.pyannote[2662].speaker SPEAKER_47
transcript.pyannote[2662].start 15706.67346875
transcript.pyannote[2662].end 15708.93471875
transcript.pyannote[2663].speaker SPEAKER_47
transcript.pyannote[2663].start 15709.60971875
transcript.pyannote[2663].end 15710.97659375
transcript.pyannote[2664].speaker SPEAKER_17
transcript.pyannote[2664].start 15710.97659375
transcript.pyannote[2664].end 15711.34784375
transcript.pyannote[2665].speaker SPEAKER_47
transcript.pyannote[2665].start 15711.34784375
transcript.pyannote[2665].end 15711.36471875
transcript.pyannote[2666].speaker SPEAKER_47
transcript.pyannote[2666].start 15711.80346875
transcript.pyannote[2666].end 15712.83284375
transcript.pyannote[2667].speaker SPEAKER_17
transcript.pyannote[2667].start 15712.61346875
transcript.pyannote[2667].end 15712.79909375
transcript.pyannote[2668].speaker SPEAKER_17
transcript.pyannote[2668].start 15712.83284375
transcript.pyannote[2668].end 15713.28846875
transcript.pyannote[2669].speaker SPEAKER_47
transcript.pyannote[2669].start 15714.16596875
transcript.pyannote[2669].end 15715.33034375
transcript.pyannote[2670].speaker SPEAKER_17
transcript.pyannote[2670].start 15715.39784375
transcript.pyannote[2670].end 15718.09784375
transcript.pyannote[2671].speaker SPEAKER_47
transcript.pyannote[2671].start 15718.24971875
transcript.pyannote[2671].end 15723.90284375
transcript.pyannote[2672].speaker SPEAKER_17
transcript.pyannote[2672].start 15723.48096875
transcript.pyannote[2672].end 15724.22346875
transcript.pyannote[2673].speaker SPEAKER_47
transcript.pyannote[2673].start 15724.40909375
transcript.pyannote[2673].end 15726.51846875
transcript.pyannote[2674].speaker SPEAKER_17
transcript.pyannote[2674].start 15726.09659375
transcript.pyannote[2674].end 15726.97409375
transcript.pyannote[2675].speaker SPEAKER_47
transcript.pyannote[2675].start 15726.97409375
transcript.pyannote[2675].end 15728.37471875
transcript.pyannote[2676].speaker SPEAKER_17
transcript.pyannote[2676].start 15728.17221875
transcript.pyannote[2676].end 15728.99909375
transcript.pyannote[2677].speaker SPEAKER_47
transcript.pyannote[2677].start 15729.28596875
transcript.pyannote[2677].end 15730.38284375
transcript.pyannote[2678].speaker SPEAKER_17
transcript.pyannote[2678].start 15730.26471875
transcript.pyannote[2678].end 15731.09159375
transcript.pyannote[2679].speaker SPEAKER_47
transcript.pyannote[2679].start 15731.24346875
transcript.pyannote[2679].end 15732.35721875
transcript.pyannote[2680].speaker SPEAKER_17
transcript.pyannote[2680].start 15732.17159375
transcript.pyannote[2680].end 15733.06596875
transcript.pyannote[2681].speaker SPEAKER_47
transcript.pyannote[2681].start 15733.23471875
transcript.pyannote[2681].end 15734.56784375
transcript.pyannote[2682].speaker SPEAKER_17
transcript.pyannote[2682].start 15734.29784375
transcript.pyannote[2682].end 15736.86284375
transcript.pyannote[2683].speaker SPEAKER_47
transcript.pyannote[2683].start 15737.11596875
transcript.pyannote[2683].end 15741.68909375
transcript.pyannote[2684].speaker SPEAKER_17
transcript.pyannote[2684].start 15738.61784375
transcript.pyannote[2684].end 15739.07346875
transcript.pyannote[2685].speaker SPEAKER_17
transcript.pyannote[2685].start 15741.68909375
transcript.pyannote[2685].end 15741.70596875
transcript.pyannote[2686].speaker SPEAKER_47
transcript.pyannote[2686].start 15741.70596875
transcript.pyannote[2686].end 15741.72284375
transcript.pyannote[2687].speaker SPEAKER_17
transcript.pyannote[2687].start 15742.07721875
transcript.pyannote[2687].end 15743.73096875
transcript.pyannote[2688].speaker SPEAKER_47
transcript.pyannote[2688].start 15743.93346875
transcript.pyannote[2688].end 15746.56596875
transcript.pyannote[2689].speaker SPEAKER_17
transcript.pyannote[2689].start 15746.56596875
transcript.pyannote[2689].end 15746.92034375
transcript.pyannote[2690].speaker SPEAKER_47
transcript.pyannote[2690].start 15746.81909375
transcript.pyannote[2690].end 15747.69659375
transcript.pyannote[2691].speaker SPEAKER_17
transcript.pyannote[2691].start 15747.69659375
transcript.pyannote[2691].end 15749.26596875
transcript.pyannote[2692].speaker SPEAKER_47
transcript.pyannote[2692].start 15749.41784375
transcript.pyannote[2692].end 15751.72971875
transcript.pyannote[2693].speaker SPEAKER_47
transcript.pyannote[2693].start 15752.10096875
transcript.pyannote[2693].end 15755.83034375
transcript.pyannote[2694].speaker SPEAKER_17
transcript.pyannote[2694].start 15755.47596875
transcript.pyannote[2694].end 15756.23534375
transcript.pyannote[2695].speaker SPEAKER_47
transcript.pyannote[2695].start 15756.16784375
transcript.pyannote[2695].end 15757.99034375
transcript.pyannote[2696].speaker SPEAKER_17
transcript.pyannote[2696].start 15757.92284375
transcript.pyannote[2696].end 15758.68221875
transcript.pyannote[2697].speaker SPEAKER_47
transcript.pyannote[2697].start 15758.68221875
transcript.pyannote[2697].end 15759.89721875
transcript.pyannote[2698].speaker SPEAKER_17
transcript.pyannote[2698].start 15759.89721875
transcript.pyannote[2698].end 15760.62284375
transcript.pyannote[2699].speaker SPEAKER_47
transcript.pyannote[2699].start 15761.01096875
transcript.pyannote[2699].end 15761.82096875
transcript.pyannote[2700].speaker SPEAKER_17
transcript.pyannote[2700].start 15761.82096875
transcript.pyannote[2700].end 15762.91784375
transcript.pyannote[2701].speaker SPEAKER_47
transcript.pyannote[2701].start 15762.91784375
transcript.pyannote[2701].end 15763.86284375
transcript.pyannote[2702].speaker SPEAKER_17
transcript.pyannote[2702].start 15763.86284375
transcript.pyannote[2702].end 15764.90909375
transcript.pyannote[2703].speaker SPEAKER_47
transcript.pyannote[2703].start 15765.14534375
transcript.pyannote[2703].end 15766.15784375
transcript.pyannote[2704].speaker SPEAKER_17
transcript.pyannote[2704].start 15766.15784375
transcript.pyannote[2704].end 15766.84971875
transcript.pyannote[2705].speaker SPEAKER_47
transcript.pyannote[2705].start 15767.38971875
transcript.pyannote[2705].end 15768.28409375
transcript.pyannote[2706].speaker SPEAKER_17
transcript.pyannote[2706].start 15768.28409375
transcript.pyannote[2706].end 15769.00971875
transcript.pyannote[2707].speaker SPEAKER_47
transcript.pyannote[2707].start 15769.48221875
transcript.pyannote[2707].end 15770.56221875
transcript.pyannote[2708].speaker SPEAKER_17
transcript.pyannote[2708].start 15770.51159375
transcript.pyannote[2708].end 15771.22034375
transcript.pyannote[2709].speaker SPEAKER_47
transcript.pyannote[2709].start 15771.22034375
transcript.pyannote[2709].end 15771.28784375
transcript.pyannote[2710].speaker SPEAKER_47
transcript.pyannote[2710].start 15771.50721875
transcript.pyannote[2710].end 15772.57034375
transcript.pyannote[2711].speaker SPEAKER_17
transcript.pyannote[2711].start 15772.50284375
transcript.pyannote[2711].end 15772.53659375
transcript.pyannote[2712].speaker SPEAKER_17
transcript.pyannote[2712].start 15772.57034375
transcript.pyannote[2712].end 15772.73909375
transcript.pyannote[2713].speaker SPEAKER_47
transcript.pyannote[2713].start 15772.73909375
transcript.pyannote[2713].end 15772.85721875
transcript.pyannote[2714].speaker SPEAKER_17
transcript.pyannote[2714].start 15772.85721875
transcript.pyannote[2714].end 15772.95846875
transcript.pyannote[2715].speaker SPEAKER_47
transcript.pyannote[2715].start 15772.95846875
transcript.pyannote[2715].end 15773.05971875
transcript.pyannote[2716].speaker SPEAKER_17
transcript.pyannote[2716].start 15773.05971875
transcript.pyannote[2716].end 15773.14409375
transcript.pyannote[2717].speaker SPEAKER_47
transcript.pyannote[2717].start 15773.14409375
transcript.pyannote[2717].end 15773.16096875
transcript.pyannote[2718].speaker SPEAKER_47
transcript.pyannote[2718].start 15773.29596875
transcript.pyannote[2718].end 15773.61659375
transcript.pyannote[2719].speaker SPEAKER_47
transcript.pyannote[2719].start 15776.31659375
transcript.pyannote[2719].end 15776.45159375
transcript.pyannote[2720].speaker SPEAKER_47
transcript.pyannote[2720].start 15776.50221875
transcript.pyannote[2720].end 15782.66159375
transcript.pyannote[2721].speaker SPEAKER_47
transcript.pyannote[2721].start 15783.11721875
transcript.pyannote[2721].end 15783.79221875
transcript.pyannote[2722].speaker SPEAKER_47
transcript.pyannote[2722].start 15785.32784375
transcript.pyannote[2722].end 15790.57596875
transcript.pyannote[2723].speaker SPEAKER_47
transcript.pyannote[2723].start 15791.28471875
transcript.pyannote[2723].end 15794.98034375
transcript.pyannote[2724].speaker SPEAKER_47
transcript.pyannote[2724].start 15796.19534375
transcript.pyannote[2724].end 15797.79846875
transcript.pyannote[2725].speaker SPEAKER_42
transcript.pyannote[2725].start 15798.99659375
transcript.pyannote[2725].end 15803.63721875
transcript.pyannote[2726].speaker SPEAKER_47
transcript.pyannote[2726].start 15804.02534375
transcript.pyannote[2726].end 15810.13409375
transcript.pyannote[2727].speaker SPEAKER_42
transcript.pyannote[2727].start 15807.18096875
transcript.pyannote[2727].end 15807.78846875
transcript.pyannote[2728].speaker SPEAKER_47
transcript.pyannote[2728].start 15810.48846875
transcript.pyannote[2728].end 15814.23471875
transcript.pyannote[2729].speaker SPEAKER_00
transcript.pyannote[2729].start 15810.99471875
transcript.pyannote[2729].end 15813.64409375
transcript.pyannote[2730].speaker SPEAKER_47
transcript.pyannote[2730].start 15815.88846875
transcript.pyannote[2730].end 15816.34409375
transcript.pyannote[2731].speaker SPEAKER_47
transcript.pyannote[2731].start 15817.45784375
transcript.pyannote[2731].end 15833.53971875
transcript.pyannote[2732].speaker SPEAKER_47
transcript.pyannote[2732].start 15835.04159375
transcript.pyannote[2732].end 15835.54784375
transcript.pyannote[2733].speaker SPEAKER_47
transcript.pyannote[2733].start 15836.39159375
transcript.pyannote[2733].end 15836.79659375
transcript.pyannote[2734].speaker SPEAKER_47
transcript.pyannote[2734].start 15837.82596875
transcript.pyannote[2734].end 15857.04659375
transcript.pyannote[2735].speaker SPEAKER_42
transcript.pyannote[2735].start 15858.97034375
transcript.pyannote[2735].end 15859.00409375
transcript.pyannote[2736].speaker SPEAKER_40
transcript.pyannote[2736].start 15864.43784375
transcript.pyannote[2736].end 15864.55596875
transcript.pyannote[2737].speaker SPEAKER_40
transcript.pyannote[2737].start 15864.62346875
transcript.pyannote[2737].end 15864.67409375
transcript.pyannote[2738].speaker SPEAKER_40
transcript.pyannote[2738].start 15864.69096875
transcript.pyannote[2738].end 15864.74159375
transcript.pyannote[2739].speaker SPEAKER_40
transcript.pyannote[2739].start 15866.41221875
transcript.pyannote[2739].end 15866.73284375
transcript.pyannote[2740].speaker SPEAKER_38
transcript.pyannote[2740].start 15867.84659375
transcript.pyannote[2740].end 15869.97284375
transcript.pyannote[2741].speaker SPEAKER_38
transcript.pyannote[2741].start 15871.22159375
transcript.pyannote[2741].end 15874.24221875
transcript.pyannote[2742].speaker SPEAKER_38
transcript.pyannote[2742].start 15874.64721875
transcript.pyannote[2742].end 15875.45721875
transcript.pyannote[2743].speaker SPEAKER_38
transcript.pyannote[2743].start 15875.96346875
transcript.pyannote[2743].end 15876.57096875
transcript.pyannote[2744].speaker SPEAKER_40
transcript.pyannote[2744].start 15876.82409375
transcript.pyannote[2744].end 15878.02221875
transcript.pyannote[2745].speaker SPEAKER_38
transcript.pyannote[2745].start 15878.02221875
transcript.pyannote[2745].end 15878.51159375
transcript.pyannote[2746].speaker SPEAKER_40
transcript.pyannote[2746].start 15878.05596875
transcript.pyannote[2746].end 15878.10659375
transcript.pyannote[2747].speaker SPEAKER_38
transcript.pyannote[2747].start 15880.46909375
transcript.pyannote[2747].end 15881.46471875
transcript.pyannote[2748].speaker SPEAKER_43
transcript.pyannote[2748].start 15883.08471875
transcript.pyannote[2748].end 15884.97471875
transcript.pyannote[2749].speaker SPEAKER_38
transcript.pyannote[2749].start 15884.29971875
transcript.pyannote[2749].end 15887.53971875
transcript.pyannote[2750].speaker SPEAKER_43
transcript.pyannote[2750].start 15885.59909375
transcript.pyannote[2750].end 15887.42159375
transcript.pyannote[2751].speaker SPEAKER_43
transcript.pyannote[2751].start 15889.31159375
transcript.pyannote[2751].end 15890.08784375
transcript.pyannote[2752].speaker SPEAKER_43
transcript.pyannote[2752].start 15890.22284375
transcript.pyannote[2752].end 15890.34096875
transcript.pyannote[2753].speaker SPEAKER_38
transcript.pyannote[2753].start 15890.34096875
transcript.pyannote[2753].end 15890.52659375
transcript.pyannote[2754].speaker SPEAKER_43
transcript.pyannote[2754].start 15890.52659375
transcript.pyannote[2754].end 15890.86409375
transcript.pyannote[2755].speaker SPEAKER_42
transcript.pyannote[2755].start 15892.53471875
transcript.pyannote[2755].end 15892.73721875
transcript.pyannote[2756].speaker SPEAKER_38
transcript.pyannote[2756].start 15895.43721875
transcript.pyannote[2756].end 15898.59284375
transcript.pyannote[2757].speaker SPEAKER_32
transcript.pyannote[2757].start 16040.22471875
transcript.pyannote[2757].end 16041.03471875
transcript.pyannote[2758].speaker SPEAKER_32
transcript.pyannote[2758].start 16041.81096875
transcript.pyannote[2758].end 16042.38471875
transcript.pyannote[2759].speaker SPEAKER_38
transcript.pyannote[2759].start 16061.92596875
transcript.pyannote[2759].end 16064.81159375
transcript.pyannote[2760].speaker SPEAKER_42
transcript.pyannote[2760].start 16062.12846875
transcript.pyannote[2760].end 16062.29721875
transcript.pyannote[2761].speaker SPEAKER_38
transcript.pyannote[2761].start 16066.97159375
transcript.pyannote[2761].end 16067.30909375
transcript.pyannote[2762].speaker SPEAKER_38
transcript.pyannote[2762].start 16067.79846875
transcript.pyannote[2762].end 16070.73471875
transcript.pyannote[2763].speaker SPEAKER_42
transcript.pyannote[2763].start 16070.81909375
transcript.pyannote[2763].end 16070.83596875
transcript.pyannote[2764].speaker SPEAKER_32
transcript.pyannote[2764].start 16070.83596875
transcript.pyannote[2764].end 16072.40534375
transcript.pyannote[2765].speaker SPEAKER_38
transcript.pyannote[2765].start 16072.40534375
transcript.pyannote[2765].end 16075.02096875
transcript.pyannote[2766].speaker SPEAKER_32
transcript.pyannote[2766].start 16072.42221875
transcript.pyannote[2766].end 16072.43909375
transcript.pyannote[2767].speaker SPEAKER_32
transcript.pyannote[2767].start 16075.18971875
transcript.pyannote[2767].end 16078.00784375
transcript.pyannote[2768].speaker SPEAKER_38
transcript.pyannote[2768].start 16078.12596875
transcript.pyannote[2768].end 16081.36596875
transcript.pyannote[2769].speaker SPEAKER_32
transcript.pyannote[2769].start 16081.36596875
transcript.pyannote[2769].end 16083.20534375
transcript.pyannote[2770].speaker SPEAKER_38
transcript.pyannote[2770].start 16083.20534375
transcript.pyannote[2770].end 16085.87159375
transcript.pyannote[2771].speaker SPEAKER_38
transcript.pyannote[2771].start 16086.90096875
transcript.pyannote[2771].end 16086.91784375
transcript.pyannote[2772].speaker SPEAKER_42
transcript.pyannote[2772].start 16095.99659375
transcript.pyannote[2772].end 16096.03034375
transcript.pyannote[2773].speaker SPEAKER_42
transcript.pyannote[2773].start 16111.03221875
transcript.pyannote[2773].end 16112.21346875
transcript.pyannote[2774].speaker SPEAKER_40
transcript.pyannote[2774].start 16182.19409375
transcript.pyannote[2774].end 16186.42971875
transcript.pyannote[2775].speaker SPEAKER_40
transcript.pyannote[2775].start 16186.96971875
transcript.pyannote[2775].end 16187.03721875
transcript.pyannote[2776].speaker SPEAKER_40
transcript.pyannote[2776].start 16187.08784375
transcript.pyannote[2776].end 16187.12159375
transcript.pyannote[2777].speaker SPEAKER_38
transcript.pyannote[2777].start 16187.12159375
transcript.pyannote[2777].end 16187.84721875
transcript.pyannote[2778].speaker SPEAKER_40
transcript.pyannote[2778].start 16188.33659375
transcript.pyannote[2778].end 16188.87659375
transcript.pyannote[2779].speaker SPEAKER_38
transcript.pyannote[2779].start 16188.87659375
transcript.pyannote[2779].end 16190.31096875
transcript.pyannote[2780].speaker SPEAKER_40
transcript.pyannote[2780].start 16189.11284375
transcript.pyannote[2780].end 16189.26471875
transcript.pyannote[2781].speaker SPEAKER_42
transcript.pyannote[2781].start 16189.26471875
transcript.pyannote[2781].end 16189.75409375
transcript.pyannote[2782].speaker SPEAKER_40
transcript.pyannote[2782].start 16189.75409375
transcript.pyannote[2782].end 16189.77096875
transcript.pyannote[2783].speaker SPEAKER_40
transcript.pyannote[2783].start 16190.31096875
transcript.pyannote[2783].end 16190.32784375
transcript.pyannote[2784].speaker SPEAKER_01
transcript.pyannote[2784].start 16216.11284375
transcript.pyannote[2784].end 16221.68159375
transcript.pyannote[2785].speaker SPEAKER_40
transcript.pyannote[2785].start 16221.68159375
transcript.pyannote[2785].end 16224.06096875
transcript.pyannote[2786].speaker SPEAKER_38
transcript.pyannote[2786].start 16236.85221875
transcript.pyannote[2786].end 16237.91534375
transcript.pyannote[2787].speaker SPEAKER_38
transcript.pyannote[2787].start 16240.10909375
transcript.pyannote[2787].end 16241.79659375
transcript.pyannote[2788].speaker SPEAKER_42
transcript.pyannote[2788].start 16299.45846875
transcript.pyannote[2788].end 16300.03221875
transcript.pyannote[2789].speaker SPEAKER_42
transcript.pyannote[2789].start 16302.64784375
transcript.pyannote[2789].end 16302.86721875
transcript.pyannote[2790].speaker SPEAKER_42
transcript.pyannote[2790].start 16302.96846875
transcript.pyannote[2790].end 16303.03596875
transcript.pyannote[2791].speaker SPEAKER_42
transcript.pyannote[2791].start 16314.96659375
transcript.pyannote[2791].end 16315.79346875
transcript.pyannote[2792].speaker SPEAKER_42
transcript.pyannote[2792].start 16315.96221875
transcript.pyannote[2792].end 16317.02534375
transcript.pyannote[2793].speaker SPEAKER_42
transcript.pyannote[2793].start 16317.29534375
transcript.pyannote[2793].end 16319.79284375
transcript.pyannote[2794].speaker SPEAKER_42
transcript.pyannote[2794].start 16320.90659375
transcript.pyannote[2794].end 16322.08784375
transcript.pyannote[2795].speaker SPEAKER_40
transcript.pyannote[2795].start 16322.08784375
transcript.pyannote[2795].end 16322.42534375
transcript.pyannote[2796].speaker SPEAKER_42
transcript.pyannote[2796].start 16322.42534375
transcript.pyannote[2796].end 16322.83034375
transcript.pyannote[2797].speaker SPEAKER_42
transcript.pyannote[2797].start 16323.75846875
transcript.pyannote[2797].end 16323.92721875
transcript.pyannote[2798].speaker SPEAKER_40
transcript.pyannote[2798].start 16323.92721875
transcript.pyannote[2798].end 16323.96096875
transcript.pyannote[2799].speaker SPEAKER_42
transcript.pyannote[2799].start 16323.96096875
transcript.pyannote[2799].end 16323.97784375
transcript.pyannote[2800].speaker SPEAKER_40
transcript.pyannote[2800].start 16323.97784375
transcript.pyannote[2800].end 16324.02846875
transcript.pyannote[2801].speaker SPEAKER_40
transcript.pyannote[2801].start 16324.04534375
transcript.pyannote[2801].end 16326.03659375
transcript.pyannote[2802].speaker SPEAKER_40
transcript.pyannote[2802].start 16327.45409375
transcript.pyannote[2802].end 16328.02784375
transcript.pyannote[2803].speaker SPEAKER_40
transcript.pyannote[2803].start 16347.24846875
transcript.pyannote[2803].end 16361.03534375
transcript.pyannote[2804].speaker SPEAKER_40
transcript.pyannote[2804].start 16373.64096875
transcript.pyannote[2804].end 16378.19721875
transcript.pyannote[2805].speaker SPEAKER_40
transcript.pyannote[2805].start 16394.92034375
transcript.pyannote[2805].end 16395.71346875
transcript.pyannote[2806].speaker SPEAKER_40
transcript.pyannote[2806].start 16396.79346875
transcript.pyannote[2806].end 16398.81846875
transcript.pyannote[2807].speaker SPEAKER_42
transcript.pyannote[2807].start 16397.82284375
transcript.pyannote[2807].end 16398.48096875
transcript.pyannote[2808].speaker SPEAKER_28
transcript.pyannote[2808].start 16398.48096875
transcript.pyannote[2808].end 16398.58221875
transcript.pyannote[2809].speaker SPEAKER_38
transcript.pyannote[2809].start 16406.68221875
transcript.pyannote[2809].end 16407.03659375
transcript.pyannote[2810].speaker SPEAKER_40
transcript.pyannote[2810].start 16407.30659375
transcript.pyannote[2810].end 16407.91409375
transcript.pyannote[2811].speaker SPEAKER_38
transcript.pyannote[2811].start 16407.91409375
transcript.pyannote[2811].end 16410.00659375
transcript.pyannote[2812].speaker SPEAKER_40
transcript.pyannote[2812].start 16408.16721875
transcript.pyannote[2812].end 16408.18409375
transcript.pyannote[2813].speaker SPEAKER_40
transcript.pyannote[2813].start 16408.23471875
transcript.pyannote[2813].end 16408.40346875
transcript.pyannote[2814].speaker SPEAKER_42
transcript.pyannote[2814].start 16408.40346875
transcript.pyannote[2814].end 16408.97721875
transcript.pyannote[2815].speaker SPEAKER_40
transcript.pyannote[2815].start 16410.00659375
transcript.pyannote[2815].end 16410.02346875
transcript.pyannote[2816].speaker SPEAKER_37
transcript.pyannote[2816].start 16410.02346875
transcript.pyannote[2816].end 16412.57159375
transcript.pyannote[2817].speaker SPEAKER_38
transcript.pyannote[2817].start 16412.90909375
transcript.pyannote[2817].end 16413.41534375
transcript.pyannote[2818].speaker SPEAKER_38
transcript.pyannote[2818].start 16413.87096875
transcript.pyannote[2818].end 16414.83284375
transcript.pyannote[2819].speaker SPEAKER_37
transcript.pyannote[2819].start 16415.81159375
transcript.pyannote[2819].end 16418.78159375
transcript.pyannote[2820].speaker SPEAKER_37
transcript.pyannote[2820].start 16419.28784375
transcript.pyannote[2820].end 16420.03034375
transcript.pyannote[2821].speaker SPEAKER_42
transcript.pyannote[2821].start 16422.59534375
transcript.pyannote[2821].end 16423.03409375
transcript.pyannote[2822].speaker SPEAKER_01
transcript.pyannote[2822].start 16464.34409375
transcript.pyannote[2822].end 16464.54659375
transcript.pyannote[2823].speaker SPEAKER_42
transcript.pyannote[2823].start 16464.54659375
transcript.pyannote[2823].end 16464.59721875
transcript.pyannote[2824].speaker SPEAKER_01
transcript.pyannote[2824].start 16464.59721875
transcript.pyannote[2824].end 16464.61409375
transcript.pyannote[2825].speaker SPEAKER_42
transcript.pyannote[2825].start 16464.61409375
transcript.pyannote[2825].end 16464.66471875
transcript.pyannote[2826].speaker SPEAKER_01
transcript.pyannote[2826].start 16464.66471875
transcript.pyannote[2826].end 16465.03596875
transcript.pyannote[2827].speaker SPEAKER_42
transcript.pyannote[2827].start 16466.97659375
transcript.pyannote[2827].end 16469.42346875
transcript.pyannote[2828].speaker SPEAKER_01
transcript.pyannote[2828].start 16484.18909375
transcript.pyannote[2828].end 16484.64471875
transcript.pyannote[2829].speaker SPEAKER_01
transcript.pyannote[2829].start 16484.96534375
transcript.pyannote[2829].end 16485.03284375
transcript.pyannote[2830].speaker SPEAKER_33
transcript.pyannote[2830].start 16506.32909375
transcript.pyannote[2830].end 16507.39221875
transcript.pyannote[2831].speaker SPEAKER_40
transcript.pyannote[2831].start 16531.30409375
transcript.pyannote[2831].end 16531.43909375
transcript.pyannote[2832].speaker SPEAKER_40
transcript.pyannote[2832].start 16531.47284375
transcript.pyannote[2832].end 16531.57409375
transcript.pyannote[2833].speaker SPEAKER_32
transcript.pyannote[2833].start 16535.97846875
transcript.pyannote[2833].end 16539.53909375
transcript.pyannote[2834].speaker SPEAKER_01
transcript.pyannote[2834].start 16591.78409375
transcript.pyannote[2834].end 16593.57284375
transcript.pyannote[2835].speaker SPEAKER_01
transcript.pyannote[2835].start 16825.14846875
transcript.pyannote[2835].end 16825.21596875
transcript.pyannote[2836].speaker SPEAKER_42
transcript.pyannote[2836].start 16931.96721875
transcript.pyannote[2836].end 16932.11909375
transcript.pyannote[2837].speaker SPEAKER_40
transcript.pyannote[2837].start 16955.79471875
transcript.pyannote[2837].end 16958.56221875
transcript.pyannote[2838].speaker SPEAKER_40
transcript.pyannote[2838].start 16959.01784375
transcript.pyannote[2838].end 16959.96284375
transcript.pyannote[2839].speaker SPEAKER_40
transcript.pyannote[2839].start 17047.18971875
transcript.pyannote[2839].end 17047.34159375
transcript.pyannote[2840].speaker SPEAKER_40
transcript.pyannote[2840].start 17047.40909375
transcript.pyannote[2840].end 17047.69596875
transcript.pyannote[2841].speaker SPEAKER_40
transcript.pyannote[2841].start 17047.78034375
transcript.pyannote[2841].end 17047.81409375
transcript.pyannote[2842].speaker SPEAKER_40
transcript.pyannote[2842].start 17047.83096875
transcript.pyannote[2842].end 17047.84784375
transcript.pyannote[2843].speaker SPEAKER_40
transcript.pyannote[2843].start 17047.96596875
transcript.pyannote[2843].end 17048.06721875
transcript.pyannote[2844].speaker SPEAKER_40
transcript.pyannote[2844].start 17132.96534375
transcript.pyannote[2844].end 17133.21846875
transcript.pyannote[2845].speaker SPEAKER_40
transcript.pyannote[2845].start 17133.37034375
transcript.pyannote[2845].end 17138.19659375
transcript.pyannote[2846].speaker SPEAKER_42
transcript.pyannote[2846].start 17138.19659375
transcript.pyannote[2846].end 17138.66909375
transcript.pyannote[2847].speaker SPEAKER_42
transcript.pyannote[2847].start 17138.88846875
transcript.pyannote[2847].end 17142.02721875
transcript.pyannote[2848].speaker SPEAKER_40
transcript.pyannote[2848].start 17146.34721875
transcript.pyannote[2848].end 17146.41471875
transcript.pyannote[2849].speaker SPEAKER_40
transcript.pyannote[2849].start 17146.49909375
transcript.pyannote[2849].end 17146.61721875
transcript.pyannote[2850].speaker SPEAKER_38
transcript.pyannote[2850].start 17198.79471875
transcript.pyannote[2850].end 17199.82409375
transcript.pyannote[2851].speaker SPEAKER_40
transcript.pyannote[2851].start 17223.97221875
transcript.pyannote[2851].end 17224.96784375
transcript.pyannote[2852].speaker SPEAKER_40
transcript.pyannote[2852].start 17227.38096875
transcript.pyannote[2852].end 17243.02409375
transcript.pyannote[2853].speaker SPEAKER_40
transcript.pyannote[2853].start 17247.42846875
transcript.pyannote[2853].end 17247.79971875
transcript.pyannote[2854].speaker SPEAKER_39
transcript.pyannote[2854].start 17248.69409375
transcript.pyannote[2854].end 17250.55034375
transcript.pyannote[2855].speaker SPEAKER_32
transcript.pyannote[2855].start 17251.86659375
transcript.pyannote[2855].end 17251.88346875
transcript.pyannote[2856].speaker SPEAKER_32
transcript.pyannote[2856].start 17251.96784375
transcript.pyannote[2856].end 17253.35159375
transcript.pyannote[2857].speaker SPEAKER_39
transcript.pyannote[2857].start 17253.35159375
transcript.pyannote[2857].end 17268.85971875
transcript.pyannote[2858].speaker SPEAKER_39
transcript.pyannote[2858].start 17273.06159375
transcript.pyannote[2858].end 17274.85034375
transcript.pyannote[2859].speaker SPEAKER_42
transcript.pyannote[2859].start 17274.27659375
transcript.pyannote[2859].end 17274.73221875
transcript.pyannote[2860].speaker SPEAKER_42
transcript.pyannote[2860].start 17274.85034375
transcript.pyannote[2860].end 17274.86721875
transcript.pyannote[2861].speaker SPEAKER_39
transcript.pyannote[2861].start 17275.94721875
transcript.pyannote[2861].end 17276.21721875
transcript.pyannote[2862].speaker SPEAKER_39
transcript.pyannote[2862].start 17276.52096875
transcript.pyannote[2862].end 17277.21284375
transcript.pyannote[2863].speaker SPEAKER_40
transcript.pyannote[2863].start 17277.21284375
transcript.pyannote[2863].end 17278.37721875
transcript.pyannote[2864].speaker SPEAKER_40
transcript.pyannote[2864].start 17278.63034375
transcript.pyannote[2864].end 17278.71471875
transcript.pyannote[2865].speaker SPEAKER_40
transcript.pyannote[2865].start 17278.90034375
transcript.pyannote[2865].end 17280.35159375
transcript.pyannote[2866].speaker SPEAKER_40
transcript.pyannote[2866].start 17280.58784375
transcript.pyannote[2866].end 17281.06034375
transcript.pyannote[2867].speaker SPEAKER_40
transcript.pyannote[2867].start 17285.70096875
transcript.pyannote[2867].end 17286.73034375
transcript.pyannote[2868].speaker SPEAKER_40
transcript.pyannote[2868].start 17287.11846875
transcript.pyannote[2868].end 17287.84409375
transcript.pyannote[2869].speaker SPEAKER_40
transcript.pyannote[2869].start 17287.96221875
transcript.pyannote[2869].end 17287.99596875
transcript.pyannote[2870].speaker SPEAKER_42
transcript.pyannote[2870].start 17303.72346875
transcript.pyannote[2870].end 17303.95971875
transcript.pyannote[2871].speaker SPEAKER_42
transcript.pyannote[2871].start 17303.97659375
transcript.pyannote[2871].end 17304.02721875
transcript.pyannote[2872].speaker SPEAKER_42
transcript.pyannote[2872].start 17304.07784375
transcript.pyannote[2872].end 17305.05659375
transcript.pyannote[2873].speaker SPEAKER_42
transcript.pyannote[2873].start 17307.45284375
transcript.pyannote[2873].end 17308.12784375
transcript.pyannote[2874].speaker SPEAKER_42
transcript.pyannote[2874].start 17310.38909375
transcript.pyannote[2874].end 17311.77284375
transcript.pyannote[2875].speaker SPEAKER_42
transcript.pyannote[2875].start 17311.85721875
transcript.pyannote[2875].end 17311.89096875
transcript.pyannote[2876].speaker SPEAKER_19
transcript.pyannote[2876].start 17454.51846875
transcript.pyannote[2876].end 17455.22721875
transcript.pyannote[2877].speaker SPEAKER_42
transcript.pyannote[2877].start 17455.63221875
transcript.pyannote[2877].end 17455.66596875
transcript.pyannote[2878].speaker SPEAKER_19
transcript.pyannote[2878].start 17455.66596875
transcript.pyannote[2878].end 17457.89346875
transcript.pyannote[2879].speaker SPEAKER_31
transcript.pyannote[2879].start 17457.89346875
transcript.pyannote[2879].end 17457.94409375
transcript.pyannote[2880].speaker SPEAKER_31
transcript.pyannote[2880].start 17460.89721875
transcript.pyannote[2880].end 17460.96471875
transcript.pyannote[2881].speaker SPEAKER_42
transcript.pyannote[2881].start 17460.96471875
transcript.pyannote[2881].end 17461.04909375
transcript.pyannote[2882].speaker SPEAKER_31
transcript.pyannote[2882].start 17461.04909375
transcript.pyannote[2882].end 17461.09971875
transcript.pyannote[2883].speaker SPEAKER_13
transcript.pyannote[2883].start 17603.60909375
transcript.pyannote[2883].end 17604.30096875
transcript.pyannote[2884].speaker SPEAKER_13
transcript.pyannote[2884].start 17604.31784375
transcript.pyannote[2884].end 17604.67221875
transcript.pyannote[2885].speaker SPEAKER_13
transcript.pyannote[2885].start 17605.33034375
transcript.pyannote[2885].end 17607.15284375
transcript.pyannote[2886].speaker SPEAKER_13
transcript.pyannote[2886].start 17607.30471875
transcript.pyannote[2886].end 17607.42284375
transcript.pyannote[2887].speaker SPEAKER_13
transcript.pyannote[2887].start 17607.43971875
transcript.pyannote[2887].end 17607.49034375
transcript.pyannote[2888].speaker SPEAKER_40
transcript.pyannote[2888].start 17629.98471875
transcript.pyannote[2888].end 17630.40659375
transcript.pyannote[2889].speaker SPEAKER_40
transcript.pyannote[2889].start 17630.96346875
transcript.pyannote[2889].end 17633.76471875
transcript.pyannote[2890].speaker SPEAKER_40
transcript.pyannote[2890].start 17633.91659375
transcript.pyannote[2890].end 17636.02596875
transcript.pyannote[2891].speaker SPEAKER_39
transcript.pyannote[2891].start 17652.95159375
transcript.pyannote[2891].end 17653.01909375
transcript.pyannote[2892].speaker SPEAKER_42
transcript.pyannote[2892].start 17686.97159375
transcript.pyannote[2892].end 17692.01721875
transcript.pyannote[2893].speaker SPEAKER_42
transcript.pyannote[2893].start 17692.72596875
transcript.pyannote[2893].end 17693.19846875
transcript.pyannote[2894].speaker SPEAKER_42
transcript.pyannote[2894].start 17693.28284375
transcript.pyannote[2894].end 17695.88159375
transcript.pyannote[2895].speaker SPEAKER_32
transcript.pyannote[2895].start 17716.36784375
transcript.pyannote[2895].end 17719.03409375
transcript.pyannote[2896].speaker SPEAKER_40
transcript.pyannote[2896].start 17719.65846875
transcript.pyannote[2896].end 17721.98721875
transcript.pyannote[2897].speaker SPEAKER_40
transcript.pyannote[2897].start 17725.64909375
transcript.pyannote[2897].end 17726.03721875
transcript.pyannote[2898].speaker SPEAKER_32
transcript.pyannote[2898].start 17742.38909375
transcript.pyannote[2898].end 17742.77721875
transcript.pyannote[2899].speaker SPEAKER_16
transcript.pyannote[2899].start 17758.06596875
transcript.pyannote[2899].end 17764.74846875
transcript.pyannote[2900].speaker SPEAKER_13
transcript.pyannote[2900].start 17758.33596875
transcript.pyannote[2900].end 17758.50471875
transcript.pyannote[2901].speaker SPEAKER_42
transcript.pyannote[2901].start 17763.11159375
transcript.pyannote[2901].end 17763.22971875
transcript.pyannote[2902].speaker SPEAKER_13
transcript.pyannote[2902].start 17763.22971875
transcript.pyannote[2902].end 17763.36471875
transcript.pyannote[2903].speaker SPEAKER_42
transcript.pyannote[2903].start 17763.36471875
transcript.pyannote[2903].end 17763.90471875
transcript.pyannote[2904].speaker SPEAKER_13
transcript.pyannote[2904].start 17763.90471875
transcript.pyannote[2904].end 17764.20846875
transcript.pyannote[2905].speaker SPEAKER_42
transcript.pyannote[2905].start 17764.20846875
transcript.pyannote[2905].end 17764.29284375
transcript.pyannote[2906].speaker SPEAKER_16
transcript.pyannote[2906].start 17764.91721875
transcript.pyannote[2906].end 17768.96721875
transcript.pyannote[2907].speaker SPEAKER_42
transcript.pyannote[2907].start 17765.15346875
transcript.pyannote[2907].end 17765.50784375
transcript.pyannote[2908].speaker SPEAKER_42
transcript.pyannote[2908].start 17766.85784375
transcript.pyannote[2908].end 17767.26284375
transcript.pyannote[2909].speaker SPEAKER_16
transcript.pyannote[2909].start 17769.08534375
transcript.pyannote[2909].end 17772.10596875
transcript.pyannote[2910].speaker SPEAKER_16
transcript.pyannote[2910].start 17772.51096875
transcript.pyannote[2910].end 17779.02471875
transcript.pyannote[2911].speaker SPEAKER_13
transcript.pyannote[2911].start 17775.02534375
transcript.pyannote[2911].end 17775.31221875
transcript.pyannote[2912].speaker SPEAKER_13
transcript.pyannote[2912].start 17779.02471875
transcript.pyannote[2912].end 17782.38284375
transcript.pyannote[2913].speaker SPEAKER_16
transcript.pyannote[2913].start 17780.44221875
transcript.pyannote[2913].end 17780.77971875
transcript.pyannote[2914].speaker SPEAKER_13
transcript.pyannote[2914].start 17782.39971875
transcript.pyannote[2914].end 17782.41659375
transcript.pyannote[2915].speaker SPEAKER_13
transcript.pyannote[2915].start 17782.53471875
transcript.pyannote[2915].end 17798.70096875
transcript.pyannote[2916].speaker SPEAKER_16
transcript.pyannote[2916].start 17786.23034375
transcript.pyannote[2916].end 17786.60159375
transcript.pyannote[2917].speaker SPEAKER_16
transcript.pyannote[2917].start 17788.55909375
transcript.pyannote[2917].end 17789.47034375
transcript.pyannote[2918].speaker SPEAKER_16
transcript.pyannote[2918].start 17798.70096875
transcript.pyannote[2918].end 17798.81909375
transcript.pyannote[2919].speaker SPEAKER_13
transcript.pyannote[2919].start 17799.94971875
transcript.pyannote[2919].end 17816.89221875
transcript.pyannote[2920].speaker SPEAKER_16
transcript.pyannote[2920].start 17800.05096875
transcript.pyannote[2920].end 17800.84409375
transcript.pyannote[2921].speaker SPEAKER_08
transcript.pyannote[2921].start 17800.84409375
transcript.pyannote[2921].end 17801.01284375
transcript.pyannote[2922].speaker SPEAKER_16
transcript.pyannote[2922].start 17802.64971875
transcript.pyannote[2922].end 17802.75096875
transcript.pyannote[2923].speaker SPEAKER_13
transcript.pyannote[2923].start 17817.17909375
transcript.pyannote[2923].end 17818.96784375
transcript.pyannote[2924].speaker SPEAKER_16
transcript.pyannote[2924].start 17818.96784375
transcript.pyannote[2924].end 17824.50284375
transcript.pyannote[2925].speaker SPEAKER_13
transcript.pyannote[2925].start 17821.88721875
transcript.pyannote[2925].end 17822.00534375
transcript.pyannote[2926].speaker SPEAKER_19
transcript.pyannote[2926].start 17823.60846875
transcript.pyannote[2926].end 17823.70971875
transcript.pyannote[2927].speaker SPEAKER_42
transcript.pyannote[2927].start 17823.70971875
transcript.pyannote[2927].end 17824.06409375
transcript.pyannote[2928].speaker SPEAKER_19
transcript.pyannote[2928].start 17824.06409375
transcript.pyannote[2928].end 17824.13159375
transcript.pyannote[2929].speaker SPEAKER_42
transcript.pyannote[2929].start 17824.13159375
transcript.pyannote[2929].end 17824.14846875
transcript.pyannote[2930].speaker SPEAKER_16
transcript.pyannote[2930].start 17824.85721875
transcript.pyannote[2930].end 17829.43034375
transcript.pyannote[2931].speaker SPEAKER_16
transcript.pyannote[2931].start 17830.00409375
transcript.pyannote[2931].end 17831.25284375
transcript.pyannote[2932].speaker SPEAKER_16
transcript.pyannote[2932].start 17832.34971875
transcript.pyannote[2932].end 17832.36659375
transcript.pyannote[2933].speaker SPEAKER_13
transcript.pyannote[2933].start 17832.36659375
transcript.pyannote[2933].end 17834.59409375
transcript.pyannote[2934].speaker SPEAKER_16
transcript.pyannote[2934].start 17834.59409375
transcript.pyannote[2934].end 17835.11721875
transcript.pyannote[2935].speaker SPEAKER_13
transcript.pyannote[2935].start 17835.11721875
transcript.pyannote[2935].end 17835.97784375
transcript.pyannote[2936].speaker SPEAKER_16
transcript.pyannote[2936].start 17835.97784375
transcript.pyannote[2936].end 17837.02409375
transcript.pyannote[2937].speaker SPEAKER_13
transcript.pyannote[2937].start 17837.02409375
transcript.pyannote[2937].end 17841.56346875
transcript.pyannote[2938].speaker SPEAKER_16
transcript.pyannote[2938].start 17837.46284375
transcript.pyannote[2938].end 17838.22221875
transcript.pyannote[2939].speaker SPEAKER_16
transcript.pyannote[2939].start 17839.25159375
transcript.pyannote[2939].end 17840.23034375
transcript.pyannote[2940].speaker SPEAKER_13
transcript.pyannote[2940].start 17842.52534375
transcript.pyannote[2940].end 17843.97659375
transcript.pyannote[2941].speaker SPEAKER_16
transcript.pyannote[2941].start 17843.97659375
transcript.pyannote[2941].end 17844.02721875
transcript.pyannote[2942].speaker SPEAKER_13
transcript.pyannote[2942].start 17844.02721875
transcript.pyannote[2942].end 17844.34784375
transcript.pyannote[2943].speaker SPEAKER_16
transcript.pyannote[2943].start 17844.34784375
transcript.pyannote[2943].end 17844.60096875
transcript.pyannote[2944].speaker SPEAKER_13
transcript.pyannote[2944].start 17844.60096875
transcript.pyannote[2944].end 17844.82034375
transcript.pyannote[2945].speaker SPEAKER_16
transcript.pyannote[2945].start 17844.82034375
transcript.pyannote[2945].end 17844.87096875
transcript.pyannote[2946].speaker SPEAKER_13
transcript.pyannote[2946].start 17844.87096875
transcript.pyannote[2946].end 17844.97221875
transcript.pyannote[2947].speaker SPEAKER_16
transcript.pyannote[2947].start 17844.97221875
transcript.pyannote[2947].end 17845.02284375
transcript.pyannote[2948].speaker SPEAKER_13
transcript.pyannote[2948].start 17845.02284375
transcript.pyannote[2948].end 17845.52909375
transcript.pyannote[2949].speaker SPEAKER_16
transcript.pyannote[2949].start 17845.52909375
transcript.pyannote[2949].end 17845.63034375
transcript.pyannote[2950].speaker SPEAKER_13
transcript.pyannote[2950].start 17845.63034375
transcript.pyannote[2950].end 17845.68096875
transcript.pyannote[2951].speaker SPEAKER_16
transcript.pyannote[2951].start 17845.68096875
transcript.pyannote[2951].end 17846.11971875
transcript.pyannote[2952].speaker SPEAKER_13
transcript.pyannote[2952].start 17845.69784375
transcript.pyannote[2952].end 17846.18721875
transcript.pyannote[2953].speaker SPEAKER_16
transcript.pyannote[2953].start 17846.18721875
transcript.pyannote[2953].end 17846.94659375
transcript.pyannote[2954].speaker SPEAKER_13
transcript.pyannote[2954].start 17846.94659375
transcript.pyannote[2954].end 17846.96346875
transcript.pyannote[2955].speaker SPEAKER_16
transcript.pyannote[2955].start 17846.96346875
transcript.pyannote[2955].end 17847.11534375
transcript.pyannote[2956].speaker SPEAKER_13
transcript.pyannote[2956].start 17847.11534375
transcript.pyannote[2956].end 17847.19971875
transcript.pyannote[2957].speaker SPEAKER_13
transcript.pyannote[2957].start 17847.33471875
transcript.pyannote[2957].end 17847.40221875
transcript.pyannote[2958].speaker SPEAKER_16
transcript.pyannote[2958].start 17847.40221875
transcript.pyannote[2958].end 17851.50284375
transcript.pyannote[2959].speaker SPEAKER_13
transcript.pyannote[2959].start 17852.05971875
transcript.pyannote[2959].end 17854.10159375
transcript.pyannote[2960].speaker SPEAKER_16
transcript.pyannote[2960].start 17853.49409375
transcript.pyannote[2960].end 17858.03346875
transcript.pyannote[2961].speaker SPEAKER_13
transcript.pyannote[2961].start 17858.03346875
transcript.pyannote[2961].end 17858.20221875
transcript.pyannote[2962].speaker SPEAKER_16
transcript.pyannote[2962].start 17858.20221875
transcript.pyannote[2962].end 17858.57346875
transcript.pyannote[2963].speaker SPEAKER_13
transcript.pyannote[2963].start 17858.57346875
transcript.pyannote[2963].end 17867.80409375
transcript.pyannote[2964].speaker SPEAKER_16
transcript.pyannote[2964].start 17858.62409375
transcript.pyannote[2964].end 17858.77596875
transcript.pyannote[2965].speaker SPEAKER_00
transcript.pyannote[2965].start 17862.62346875
transcript.pyannote[2965].end 17862.64034375
transcript.pyannote[2966].speaker SPEAKER_16
transcript.pyannote[2966].start 17862.64034375
transcript.pyannote[2966].end 17862.97784375
transcript.pyannote[2967].speaker SPEAKER_00
transcript.pyannote[2967].start 17862.97784375
transcript.pyannote[2967].end 17863.02846875
transcript.pyannote[2968].speaker SPEAKER_11
transcript.pyannote[2968].start 17863.02846875
transcript.pyannote[2968].end 17863.14659375
transcript.pyannote[2969].speaker SPEAKER_00
transcript.pyannote[2969].start 17863.14659375
transcript.pyannote[2969].end 17863.56846875
transcript.pyannote[2970].speaker SPEAKER_11
transcript.pyannote[2970].start 17863.56846875
transcript.pyannote[2970].end 17864.74971875
transcript.pyannote[2971].speaker SPEAKER_13
transcript.pyannote[2971].start 17868.09096875
transcript.pyannote[2971].end 17871.56721875
transcript.pyannote[2972].speaker SPEAKER_16
transcript.pyannote[2972].start 17870.23409375
transcript.pyannote[2972].end 17870.31846875
transcript.pyannote[2973].speaker SPEAKER_16
transcript.pyannote[2973].start 17871.56721875
transcript.pyannote[2973].end 17871.76971875
transcript.pyannote[2974].speaker SPEAKER_13
transcript.pyannote[2974].start 17871.76971875
transcript.pyannote[2974].end 17871.97221875
transcript.pyannote[2975].speaker SPEAKER_16
transcript.pyannote[2975].start 17871.97221875
transcript.pyannote[2975].end 17878.03034375
transcript.pyannote[2976].speaker SPEAKER_13
transcript.pyannote[2976].start 17878.03034375
transcript.pyannote[2976].end 17900.99721875
transcript.pyannote[2977].speaker SPEAKER_26
transcript.pyannote[2977].start 17891.80034375
transcript.pyannote[2977].end 17892.17159375
transcript.pyannote[2978].speaker SPEAKER_18
transcript.pyannote[2978].start 17900.99721875
transcript.pyannote[2978].end 17901.23346875
transcript.pyannote[2979].speaker SPEAKER_13
transcript.pyannote[2979].start 17901.23346875
transcript.pyannote[2979].end 17902.02659375
transcript.pyannote[2980].speaker SPEAKER_13
transcript.pyannote[2980].start 17902.36409375
transcript.pyannote[2980].end 17902.44846875
transcript.pyannote[2981].speaker SPEAKER_40
transcript.pyannote[2981].start 17907.49409375
transcript.pyannote[2981].end 17907.51096875
transcript.pyannote[2982].speaker SPEAKER_39
transcript.pyannote[2982].start 17907.51096875
transcript.pyannote[2982].end 17908.84409375
transcript.pyannote[2983].speaker SPEAKER_42
transcript.pyannote[2983].start 17908.84409375
transcript.pyannote[2983].end 17909.48534375
transcript.pyannote[2984].speaker SPEAKER_39
transcript.pyannote[2984].start 17909.48534375
transcript.pyannote[2984].end 17913.28221875
transcript.pyannote[2985].speaker SPEAKER_42
transcript.pyannote[2985].start 17909.50221875
transcript.pyannote[2985].end 17909.55284375
transcript.pyannote[2986].speaker SPEAKER_42
transcript.pyannote[2986].start 17911.08846875
transcript.pyannote[2986].end 17912.18534375
transcript.pyannote[2987].speaker SPEAKER_47
transcript.pyannote[2987].start 17928.80721875
transcript.pyannote[2987].end 17931.10221875
transcript.pyannote[2988].speaker SPEAKER_47
transcript.pyannote[2988].start 17931.32159375
transcript.pyannote[2988].end 17937.39659375
transcript.pyannote[2989].speaker SPEAKER_47
transcript.pyannote[2989].start 17938.08846875
transcript.pyannote[2989].end 17941.86846875
transcript.pyannote[2990].speaker SPEAKER_47
transcript.pyannote[2990].start 17942.37471875
transcript.pyannote[2990].end 17944.90596875
transcript.pyannote[2991].speaker SPEAKER_47
transcript.pyannote[2991].start 17945.14221875
transcript.pyannote[2991].end 17946.07034375
transcript.pyannote[2992].speaker SPEAKER_47
transcript.pyannote[2992].start 17946.20534375
transcript.pyannote[2992].end 17950.05284375
transcript.pyannote[2993].speaker SPEAKER_47
transcript.pyannote[2993].start 17951.13284375
transcript.pyannote[2993].end 17952.63471875
transcript.pyannote[2994].speaker SPEAKER_26
transcript.pyannote[2994].start 17955.01409375
transcript.pyannote[2994].end 17957.08971875
transcript.pyannote[2995].speaker SPEAKER_26
transcript.pyannote[2995].start 17957.81534375
transcript.pyannote[2995].end 17968.09221875
transcript.pyannote[2996].speaker SPEAKER_26
transcript.pyannote[2996].start 17968.53096875
transcript.pyannote[2996].end 17968.85159375
transcript.pyannote[2997].speaker SPEAKER_26
transcript.pyannote[2997].start 17969.22284375
transcript.pyannote[2997].end 17971.60221875
transcript.pyannote[2998].speaker SPEAKER_26
transcript.pyannote[2998].start 17972.10846875
transcript.pyannote[2998].end 17975.28096875
transcript.pyannote[2999].speaker SPEAKER_26
transcript.pyannote[2999].start 17976.09096875
transcript.pyannote[2999].end 17982.38534375
transcript.pyannote[3000].speaker SPEAKER_14
transcript.pyannote[3000].start 17982.38534375
transcript.pyannote[3000].end 17982.40221875
transcript.pyannote[3001].speaker SPEAKER_47
transcript.pyannote[3001].start 17983.41471875
transcript.pyannote[3001].end 17987.71784375
transcript.pyannote[3002].speaker SPEAKER_14
transcript.pyannote[3002].start 17986.87409375
transcript.pyannote[3002].end 18008.76096875
transcript.pyannote[3003].speaker SPEAKER_47
transcript.pyannote[3003].start 18009.62159375
transcript.pyannote[3003].end 18009.73971875
transcript.pyannote[3004].speaker SPEAKER_14
transcript.pyannote[3004].start 18009.73971875
transcript.pyannote[3004].end 18009.75659375
transcript.pyannote[3005].speaker SPEAKER_14
transcript.pyannote[3005].start 18010.33034375
transcript.pyannote[3005].end 18011.64659375
transcript.pyannote[3006].speaker SPEAKER_47
transcript.pyannote[3006].start 18011.14034375
transcript.pyannote[3006].end 18019.61159375
transcript.pyannote[3007].speaker SPEAKER_47
transcript.pyannote[3007].start 18019.98284375
transcript.pyannote[3007].end 18023.69534375
transcript.pyannote[3008].speaker SPEAKER_47
transcript.pyannote[3008].start 18024.35346875
transcript.pyannote[3008].end 18029.48346875
transcript.pyannote[3009].speaker SPEAKER_47
transcript.pyannote[3009].start 18029.70284375
transcript.pyannote[3009].end 18031.15409375
transcript.pyannote[3010].speaker SPEAKER_47
transcript.pyannote[3010].start 18036.67221875
transcript.pyannote[3010].end 18041.24534375
transcript.pyannote[3011].speaker SPEAKER_47
transcript.pyannote[3011].start 18056.39909375
transcript.pyannote[3011].end 18061.66409375
transcript.pyannote[3012].speaker SPEAKER_47
transcript.pyannote[3012].start 18061.93409375
transcript.pyannote[3012].end 18068.14409375
transcript.pyannote[3013].speaker SPEAKER_47
transcript.pyannote[3013].start 18068.48159375
transcript.pyannote[3013].end 18070.70909375
transcript.pyannote[3014].speaker SPEAKER_47
transcript.pyannote[3014].start 18070.84409375
transcript.pyannote[3014].end 18072.53159375
transcript.pyannote[3015].speaker SPEAKER_47
transcript.pyannote[3015].start 18072.83534375
transcript.pyannote[3015].end 18074.69159375
transcript.pyannote[3016].speaker SPEAKER_47
transcript.pyannote[3016].start 18075.04596875
transcript.pyannote[3016].end 18075.50159375
transcript.pyannote[3017].speaker SPEAKER_47
transcript.pyannote[3017].start 18084.20909375
transcript.pyannote[3017].end 18093.00096875
transcript.pyannote[3018].speaker SPEAKER_47
transcript.pyannote[3018].start 18093.30471875
transcript.pyannote[3018].end 18095.63346875
transcript.pyannote[3019].speaker SPEAKER_47
transcript.pyannote[3019].start 18096.12284375
transcript.pyannote[3019].end 18099.97034375
transcript.pyannote[3020].speaker SPEAKER_47
transcript.pyannote[3020].start 18100.42596875
transcript.pyannote[3020].end 18102.73784375
transcript.pyannote[3021].speaker SPEAKER_47
transcript.pyannote[3021].start 18103.10909375
transcript.pyannote[3021].end 18104.23971875
transcript.pyannote[3022].speaker SPEAKER_47
transcript.pyannote[3022].start 18104.37471875
transcript.pyannote[3022].end 18105.04971875
transcript.pyannote[3023].speaker SPEAKER_47
transcript.pyannote[3023].start 18105.21846875
transcript.pyannote[3023].end 18106.72034375
transcript.pyannote[3024].speaker SPEAKER_47
transcript.pyannote[3024].start 18108.12096875
transcript.pyannote[3024].end 18110.06159375
transcript.pyannote[3025].speaker SPEAKER_14
transcript.pyannote[3025].start 18110.97284375
transcript.pyannote[3025].end 18115.39409375
transcript.pyannote[3026].speaker SPEAKER_14
transcript.pyannote[3026].start 18118.04346875
transcript.pyannote[3026].end 18153.41346875
transcript.pyannote[3027].speaker SPEAKER_47
transcript.pyannote[3027].start 18156.06284375
transcript.pyannote[3027].end 18157.61534375
transcript.pyannote[3028].speaker SPEAKER_47
transcript.pyannote[3028].start 18158.22284375
transcript.pyannote[3028].end 18171.62159375
transcript.pyannote[3029].speaker SPEAKER_14
transcript.pyannote[3029].start 18160.63596875
transcript.pyannote[3029].end 18161.71596875
transcript.pyannote[3030].speaker SPEAKER_00
transcript.pyannote[3030].start 18164.53409375
transcript.pyannote[3030].end 18165.04034375
transcript.pyannote[3031].speaker SPEAKER_14
transcript.pyannote[3031].start 18167.03159375
transcript.pyannote[3031].end 18167.87534375
transcript.pyannote[3032].speaker SPEAKER_14
transcript.pyannote[3032].start 18168.24659375
transcript.pyannote[3032].end 18169.12409375
transcript.pyannote[3033].speaker SPEAKER_47
transcript.pyannote[3033].start 18171.77346875
transcript.pyannote[3033].end 18174.03471875
transcript.pyannote[3034].speaker SPEAKER_47
transcript.pyannote[3034].start 18174.28784375
transcript.pyannote[3034].end 18176.02596875
transcript.pyannote[3035].speaker SPEAKER_14
transcript.pyannote[3035].start 18176.02596875
transcript.pyannote[3035].end 18178.97909375
transcript.pyannote[3036].speaker SPEAKER_47
transcript.pyannote[3036].start 18176.32971875
transcript.pyannote[3036].end 18190.90971875
transcript.pyannote[3037].speaker SPEAKER_00
transcript.pyannote[3037].start 18187.12971875
transcript.pyannote[3037].end 18187.51784375
transcript.pyannote[3038].speaker SPEAKER_47
transcript.pyannote[3038].start 18192.96846875
transcript.pyannote[3038].end 18194.09909375
transcript.pyannote[3039].speaker SPEAKER_47
transcript.pyannote[3039].start 18194.75721875
transcript.pyannote[3039].end 18199.02659375
transcript.pyannote[3040].speaker SPEAKER_26
transcript.pyannote[3040].start 18203.02596875
transcript.pyannote[3040].end 18205.47284375
transcript.pyannote[3041].speaker SPEAKER_26
transcript.pyannote[3041].start 18206.16471875
transcript.pyannote[3041].end 18214.34909375
transcript.pyannote[3042].speaker SPEAKER_26
transcript.pyannote[3042].start 18214.39971875
transcript.pyannote[3042].end 18215.22659375
transcript.pyannote[3043].speaker SPEAKER_26
transcript.pyannote[3043].start 18215.29409375
transcript.pyannote[3043].end 18217.80846875
transcript.pyannote[3044].speaker SPEAKER_26
transcript.pyannote[3044].start 18218.21346875
transcript.pyannote[3044].end 18220.55909375
transcript.pyannote[3045].speaker SPEAKER_26
transcript.pyannote[3045].start 18221.36909375
transcript.pyannote[3045].end 18233.33346875
transcript.pyannote[3046].speaker SPEAKER_26
transcript.pyannote[3046].start 18234.16034375
transcript.pyannote[3046].end 18241.95659375
transcript.pyannote[3047].speaker SPEAKER_26
transcript.pyannote[3047].start 18242.31096875
transcript.pyannote[3047].end 18244.35284375
transcript.pyannote[3048].speaker SPEAKER_26
transcript.pyannote[3048].start 18244.72409375
transcript.pyannote[3048].end 18256.04721875
transcript.pyannote[3049].speaker SPEAKER_26
transcript.pyannote[3049].start 18256.65471875
transcript.pyannote[3049].end 18257.14409375
transcript.pyannote[3050].speaker SPEAKER_26
transcript.pyannote[3050].start 18257.31284375
transcript.pyannote[3050].end 18261.54846875
transcript.pyannote[3051].speaker SPEAKER_26
transcript.pyannote[3051].start 18262.13909375
transcript.pyannote[3051].end 18264.70409375
transcript.pyannote[3052].speaker SPEAKER_26
transcript.pyannote[3052].start 18265.31159375
transcript.pyannote[3052].end 18266.13846875
transcript.pyannote[3053].speaker SPEAKER_26
transcript.pyannote[3053].start 18266.57721875
transcript.pyannote[3053].end 18267.58971875
transcript.pyannote[3054].speaker SPEAKER_26
transcript.pyannote[3054].start 18267.97784375
transcript.pyannote[3054].end 18273.74909375
transcript.pyannote[3055].speaker SPEAKER_26
transcript.pyannote[3055].start 18274.60971875
transcript.pyannote[3055].end 18286.03409375
transcript.pyannote[3056].speaker SPEAKER_26
transcript.pyannote[3056].start 18286.62471875
transcript.pyannote[3056].end 18287.35034375
transcript.pyannote[3057].speaker SPEAKER_26
transcript.pyannote[3057].start 18287.51909375
transcript.pyannote[3057].end 18292.05846875
transcript.pyannote[3058].speaker SPEAKER_26
transcript.pyannote[3058].start 18292.69971875
transcript.pyannote[3058].end 18295.18034375
transcript.pyannote[3059].speaker SPEAKER_26
transcript.pyannote[3059].start 18295.55159375
transcript.pyannote[3059].end 18298.23471875
transcript.pyannote[3060].speaker SPEAKER_26
transcript.pyannote[3060].start 18298.55534375
transcript.pyannote[3060].end 18302.63909375
transcript.pyannote[3061].speaker SPEAKER_26
transcript.pyannote[3061].start 18303.04409375
transcript.pyannote[3061].end 18304.93409375
transcript.pyannote[3062].speaker SPEAKER_26
transcript.pyannote[3062].start 18305.69346875
transcript.pyannote[3062].end 18307.19534375
transcript.pyannote[3063].speaker SPEAKER_26
transcript.pyannote[3063].start 18307.43159375
transcript.pyannote[3063].end 18311.65034375
transcript.pyannote[3064].speaker SPEAKER_26
transcript.pyannote[3064].start 18312.15659375
transcript.pyannote[3064].end 18312.94971875
transcript.pyannote[3065].speaker SPEAKER_26
transcript.pyannote[3065].start 18313.47284375
transcript.pyannote[3065].end 18326.68596875
transcript.pyannote[3066].speaker SPEAKER_26
transcript.pyannote[3066].start 18327.02346875
transcript.pyannote[3066].end 18334.58346875
transcript.pyannote[3067].speaker SPEAKER_26
transcript.pyannote[3067].start 18335.05596875
transcript.pyannote[3067].end 18337.84034375
transcript.pyannote[3068].speaker SPEAKER_26
transcript.pyannote[3068].start 18338.43096875
transcript.pyannote[3068].end 18342.39659375
transcript.pyannote[3069].speaker SPEAKER_26
transcript.pyannote[3069].start 18343.12221875
transcript.pyannote[3069].end 18343.89846875
transcript.pyannote[3070].speaker SPEAKER_26
transcript.pyannote[3070].start 18344.32034375
transcript.pyannote[3070].end 18348.04971875
transcript.pyannote[3071].speaker SPEAKER_26
transcript.pyannote[3071].start 18348.58971875
transcript.pyannote[3071].end 18351.35721875
transcript.pyannote[3072].speaker SPEAKER_26
transcript.pyannote[3072].start 18351.72846875
transcript.pyannote[3072].end 18359.79471875
transcript.pyannote[3073].speaker SPEAKER_26
transcript.pyannote[3073].start 18360.67221875
transcript.pyannote[3073].end 18367.13534375
transcript.pyannote[3074].speaker SPEAKER_26
transcript.pyannote[3074].start 18368.01284375
transcript.pyannote[3074].end 18374.25659375
transcript.pyannote[3075].speaker SPEAKER_26
transcript.pyannote[3075].start 18374.89784375
transcript.pyannote[3075].end 18382.06971875
transcript.pyannote[3076].speaker SPEAKER_26
transcript.pyannote[3076].start 18382.81221875
transcript.pyannote[3076].end 18396.19409375
transcript.pyannote[3077].speaker SPEAKER_26
transcript.pyannote[3077].start 18396.54846875
transcript.pyannote[3077].end 18397.66221875
transcript.pyannote[3078].speaker SPEAKER_26
transcript.pyannote[3078].start 18397.96596875
transcript.pyannote[3078].end 18412.03971875
transcript.pyannote[3079].speaker SPEAKER_26
transcript.pyannote[3079].start 18412.52909375
transcript.pyannote[3079].end 18414.84096875
transcript.pyannote[3080].speaker SPEAKER_26
transcript.pyannote[3080].start 18415.33034375
transcript.pyannote[3080].end 18419.85284375
transcript.pyannote[3081].speaker SPEAKER_26
transcript.pyannote[3081].start 18420.32534375
transcript.pyannote[3081].end 18420.89909375
transcript.pyannote[3082].speaker SPEAKER_26
transcript.pyannote[3082].start 18421.48971875
transcript.pyannote[3082].end 18426.34971875
transcript.pyannote[3083].speaker SPEAKER_26
transcript.pyannote[3083].start 18427.21034375
transcript.pyannote[3083].end 18428.15534375
transcript.pyannote[3084].speaker SPEAKER_26
transcript.pyannote[3084].start 18428.52659375
transcript.pyannote[3084].end 18430.28159375
transcript.pyannote[3085].speaker SPEAKER_26
transcript.pyannote[3085].start 18430.93971875
transcript.pyannote[3085].end 18432.44159375
transcript.pyannote[3086].speaker SPEAKER_26
transcript.pyannote[3086].start 18433.21784375
transcript.pyannote[3086].end 18434.39909375
transcript.pyannote[3087].speaker SPEAKER_26
transcript.pyannote[3087].start 18434.56784375
transcript.pyannote[3087].end 18435.76596875
transcript.pyannote[3088].speaker SPEAKER_26
transcript.pyannote[3088].start 18436.52534375
transcript.pyannote[3088].end 18439.74846875
transcript.pyannote[3089].speaker SPEAKER_26
transcript.pyannote[3089].start 18439.88346875
transcript.pyannote[3089].end 18441.03096875
transcript.pyannote[3090].speaker SPEAKER_26
transcript.pyannote[3090].start 18442.12784375
transcript.pyannote[3090].end 18444.79409375
transcript.pyannote[3091].speaker SPEAKER_26
transcript.pyannote[3091].start 18444.84471875
transcript.pyannote[3091].end 18448.27034375
transcript.pyannote[3092].speaker SPEAKER_26
transcript.pyannote[3092].start 18448.67534375
transcript.pyannote[3092].end 18449.65409375
transcript.pyannote[3093].speaker SPEAKER_26
transcript.pyannote[3093].start 18449.70471875
transcript.pyannote[3093].end 18452.87721875
transcript.pyannote[3094].speaker SPEAKER_26
transcript.pyannote[3094].start 18452.97846875
transcript.pyannote[3094].end 18453.02909375
transcript.pyannote[3095].speaker SPEAKER_26
transcript.pyannote[3095].start 18453.11346875
transcript.pyannote[3095].end 18457.82159375
transcript.pyannote[3096].speaker SPEAKER_26
transcript.pyannote[3096].start 18458.27721875
transcript.pyannote[3096].end 18464.20034375
transcript.pyannote[3097].speaker SPEAKER_26
transcript.pyannote[3097].start 18464.65596875
transcript.pyannote[3097].end 18471.57471875
transcript.pyannote[3098].speaker SPEAKER_26
transcript.pyannote[3098].start 18472.16534375
transcript.pyannote[3098].end 18474.42659375
transcript.pyannote[3099].speaker SPEAKER_26
transcript.pyannote[3099].start 18474.93284375
transcript.pyannote[3099].end 18476.87346875
transcript.pyannote[3100].speaker SPEAKER_26
transcript.pyannote[3100].start 18477.16034375
transcript.pyannote[3100].end 18478.91534375
transcript.pyannote[3101].speaker SPEAKER_47
transcript.pyannote[3101].start 18479.65784375
transcript.pyannote[3101].end 18488.41596875
transcript.pyannote[3102].speaker SPEAKER_30
transcript.pyannote[3102].start 18487.45409375
transcript.pyannote[3102].end 18498.69284375
transcript.pyannote[3103].speaker SPEAKER_30
transcript.pyannote[3103].start 18499.14846875
transcript.pyannote[3103].end 18574.29284375
transcript.pyannote[3104].speaker SPEAKER_30
transcript.pyannote[3104].start 18574.83284375
transcript.pyannote[3104].end 18575.18721875
transcript.pyannote[3105].speaker SPEAKER_47
transcript.pyannote[3105].start 18576.23346875
transcript.pyannote[3105].end 18581.70096875
transcript.pyannote[3106].speaker SPEAKER_21
transcript.pyannote[3106].start 18581.66721875
transcript.pyannote[3106].end 18581.68409375
transcript.pyannote[3107].speaker SPEAKER_21
transcript.pyannote[3107].start 18581.70096875
transcript.pyannote[3107].end 18581.95409375
transcript.pyannote[3108].speaker SPEAKER_21
transcript.pyannote[3108].start 18581.97096875
transcript.pyannote[3108].end 18581.98784375
transcript.pyannote[3109].speaker SPEAKER_21
transcript.pyannote[3109].start 18582.15659375
transcript.pyannote[3109].end 18588.50159375
transcript.pyannote[3110].speaker SPEAKER_21
transcript.pyannote[3110].start 18588.58596875
transcript.pyannote[3110].end 18588.63659375
transcript.pyannote[3111].speaker SPEAKER_21
transcript.pyannote[3111].start 18588.65346875
transcript.pyannote[3111].end 18590.37471875
transcript.pyannote[3112].speaker SPEAKER_21
transcript.pyannote[3112].start 18590.88096875
transcript.pyannote[3112].end 18600.31409375
transcript.pyannote[3113].speaker SPEAKER_21
transcript.pyannote[3113].start 18600.73596875
transcript.pyannote[3113].end 18605.81534375
transcript.pyannote[3114].speaker SPEAKER_21
transcript.pyannote[3114].start 18606.11909375
transcript.pyannote[3114].end 18607.09784375
transcript.pyannote[3115].speaker SPEAKER_21
transcript.pyannote[3115].start 18607.78971875
transcript.pyannote[3115].end 18612.46409375
transcript.pyannote[3116].speaker SPEAKER_21
transcript.pyannote[3116].start 18612.93659375
transcript.pyannote[3116].end 18623.90534375
transcript.pyannote[3117].speaker SPEAKER_21
transcript.pyannote[3117].start 18624.69846875
transcript.pyannote[3117].end 18654.34784375
transcript.pyannote[3118].speaker SPEAKER_21
transcript.pyannote[3118].start 18654.88784375
transcript.pyannote[3118].end 18664.52346875
transcript.pyannote[3119].speaker SPEAKER_21
transcript.pyannote[3119].start 18665.51909375
transcript.pyannote[3119].end 18675.52596875
transcript.pyannote[3120].speaker SPEAKER_21
transcript.pyannote[3120].start 18676.15034375
transcript.pyannote[3120].end 18680.60534375
transcript.pyannote[3121].speaker SPEAKER_21
transcript.pyannote[3121].start 18681.38159375
transcript.pyannote[3121].end 18711.33471875
transcript.pyannote[3122].speaker SPEAKER_47
transcript.pyannote[3122].start 18711.58784375
transcript.pyannote[3122].end 18715.13159375
transcript.pyannote[3123].speaker SPEAKER_15
transcript.pyannote[3123].start 18715.13159375
transcript.pyannote[3123].end 18749.16846875
transcript.pyannote[3124].speaker SPEAKER_15
transcript.pyannote[3124].start 18749.32034375
transcript.pyannote[3124].end 18749.96159375
transcript.pyannote[3125].speaker SPEAKER_15
transcript.pyannote[3125].start 18750.31596875
transcript.pyannote[3125].end 18752.79659375
transcript.pyannote[3126].speaker SPEAKER_15
transcript.pyannote[3126].start 18753.10034375
transcript.pyannote[3126].end 18757.21784375
transcript.pyannote[3127].speaker SPEAKER_15
transcript.pyannote[3127].start 18757.90971875
transcript.pyannote[3127].end 18784.40346875
transcript.pyannote[3128].speaker SPEAKER_15
transcript.pyannote[3128].start 18785.07846875
transcript.pyannote[3128].end 18786.41159375
transcript.pyannote[3129].speaker SPEAKER_15
transcript.pyannote[3129].start 18786.86721875
transcript.pyannote[3129].end 18788.63909375
transcript.pyannote[3130].speaker SPEAKER_15
transcript.pyannote[3130].start 18789.04409375
transcript.pyannote[3130].end 18790.24221875
transcript.pyannote[3131].speaker SPEAKER_15
transcript.pyannote[3131].start 18790.95096875
transcript.pyannote[3131].end 18792.85784375
transcript.pyannote[3132].speaker SPEAKER_15
transcript.pyannote[3132].start 18793.34721875
transcript.pyannote[3132].end 18822.59159375
transcript.pyannote[3133].speaker SPEAKER_47
transcript.pyannote[3133].start 18823.55346875
transcript.pyannote[3133].end 18827.24909375
transcript.pyannote[3134].speaker SPEAKER_27
transcript.pyannote[3134].start 18827.60346875
transcript.pyannote[3134].end 18870.33096875
transcript.pyannote[3135].speaker SPEAKER_27
transcript.pyannote[3135].start 18870.80346875
transcript.pyannote[3135].end 18881.01284375
transcript.pyannote[3136].speaker SPEAKER_27
transcript.pyannote[3136].start 18881.38409375
transcript.pyannote[3136].end 18881.90721875
transcript.pyannote[3137].speaker SPEAKER_27
transcript.pyannote[3137].start 18882.17721875
transcript.pyannote[3137].end 18926.27159375
transcript.pyannote[3138].speaker SPEAKER_27
transcript.pyannote[3138].start 18926.82846875
transcript.pyannote[3138].end 18929.54534375
transcript.pyannote[3139].speaker SPEAKER_27
transcript.pyannote[3139].start 18930.30471875
transcript.pyannote[3139].end 18940.34534375
transcript.pyannote[3140].speaker SPEAKER_27
transcript.pyannote[3140].start 18940.73346875
transcript.pyannote[3140].end 19006.02284375
transcript.pyannote[3141].speaker SPEAKER_27
transcript.pyannote[3141].start 19007.35596875
transcript.pyannote[3141].end 19041.25784375
transcript.pyannote[3142].speaker SPEAKER_27
transcript.pyannote[3142].start 19041.40971875
transcript.pyannote[3142].end 19047.99096875
transcript.pyannote[3143].speaker SPEAKER_47
transcript.pyannote[3143].start 19048.32846875
transcript.pyannote[3143].end 19054.26846875
transcript.pyannote[3144].speaker SPEAKER_26
transcript.pyannote[3144].start 19051.90596875
transcript.pyannote[3144].end 19051.92284375
transcript.pyannote[3145].speaker SPEAKER_27
transcript.pyannote[3145].start 19051.92284375
transcript.pyannote[3145].end 19052.02409375
transcript.pyannote[3146].speaker SPEAKER_26
transcript.pyannote[3146].start 19052.02409375
transcript.pyannote[3146].end 19052.31096875
transcript.pyannote[3147].speaker SPEAKER_26
transcript.pyannote[3147].start 19054.26846875
transcript.pyannote[3147].end 19060.09034375
transcript.pyannote[3148].speaker SPEAKER_26
transcript.pyannote[3148].start 19060.83284375
transcript.pyannote[3148].end 19066.63784375
transcript.pyannote[3149].speaker SPEAKER_26
transcript.pyannote[3149].start 19067.02596875
transcript.pyannote[3149].end 19071.71721875
transcript.pyannote[3150].speaker SPEAKER_26
transcript.pyannote[3150].start 19072.00409375
transcript.pyannote[3150].end 19074.36659375
transcript.pyannote[3151].speaker SPEAKER_26
transcript.pyannote[3151].start 19074.95721875
transcript.pyannote[3151].end 19078.92284375
transcript.pyannote[3152].speaker SPEAKER_26
transcript.pyannote[3152].start 19079.24346875
transcript.pyannote[3152].end 19085.20034375
transcript.pyannote[3153].speaker SPEAKER_26
transcript.pyannote[3153].start 19085.55471875
transcript.pyannote[3153].end 19090.51596875
transcript.pyannote[3154].speaker SPEAKER_26
transcript.pyannote[3154].start 19091.35971875
transcript.pyannote[3154].end 19093.58721875
transcript.pyannote[3155].speaker SPEAKER_26
transcript.pyannote[3155].start 19094.24534375
transcript.pyannote[3155].end 19098.19409375
transcript.pyannote[3156].speaker SPEAKER_26
transcript.pyannote[3156].start 19098.97034375
transcript.pyannote[3156].end 19099.56096875
transcript.pyannote[3157].speaker SPEAKER_26
transcript.pyannote[3157].start 19099.78034375
transcript.pyannote[3157].end 19104.67409375
transcript.pyannote[3158].speaker SPEAKER_26
transcript.pyannote[3158].start 19105.16346875
transcript.pyannote[3158].end 19106.68221875
transcript.pyannote[3159].speaker SPEAKER_26
transcript.pyannote[3159].start 19106.73284375
transcript.pyannote[3159].end 19108.31909375
transcript.pyannote[3160].speaker SPEAKER_26
transcript.pyannote[3160].start 19108.58909375
transcript.pyannote[3160].end 19109.80409375
transcript.pyannote[3161].speaker SPEAKER_26
transcript.pyannote[3161].start 19110.46221875
transcript.pyannote[3161].end 19110.81659375
transcript.pyannote[3162].speaker SPEAKER_26
transcript.pyannote[3162].start 19111.17096875
transcript.pyannote[3162].end 19112.03159375
transcript.pyannote[3163].speaker SPEAKER_26
transcript.pyannote[3163].start 19112.16659375
transcript.pyannote[3163].end 19115.62596875
transcript.pyannote[3164].speaker SPEAKER_26
transcript.pyannote[3164].start 19116.09846875
transcript.pyannote[3164].end 19121.51534375
transcript.pyannote[3165].speaker SPEAKER_26
transcript.pyannote[3165].start 19122.17346875
transcript.pyannote[3165].end 19126.03784375
transcript.pyannote[3166].speaker SPEAKER_26
transcript.pyannote[3166].start 19126.71284375
transcript.pyannote[3166].end 19140.44909375
transcript.pyannote[3167].speaker SPEAKER_26
transcript.pyannote[3167].start 19140.95534375
transcript.pyannote[3167].end 19145.62971875
transcript.pyannote[3168].speaker SPEAKER_26
transcript.pyannote[3168].start 19146.23721875
transcript.pyannote[3168].end 19149.29159375
transcript.pyannote[3169].speaker SPEAKER_26
transcript.pyannote[3169].start 19149.86534375
transcript.pyannote[3169].end 19154.50596875
transcript.pyannote[3170].speaker SPEAKER_26
transcript.pyannote[3170].start 19155.11346875
transcript.pyannote[3170].end 19159.92284375
transcript.pyannote[3171].speaker SPEAKER_26
transcript.pyannote[3171].start 19160.37846875
transcript.pyannote[3171].end 19165.15409375
transcript.pyannote[3172].speaker SPEAKER_26
transcript.pyannote[3172].start 19165.96409375
transcript.pyannote[3172].end 19169.27159375
transcript.pyannote[3173].speaker SPEAKER_26
transcript.pyannote[3173].start 19169.89596875
transcript.pyannote[3173].end 19181.18534375
transcript.pyannote[3174].speaker SPEAKER_26
transcript.pyannote[3174].start 19181.74221875
transcript.pyannote[3174].end 19186.58534375
transcript.pyannote[3175].speaker SPEAKER_26
transcript.pyannote[3175].start 19187.29409375
transcript.pyannote[3175].end 19188.25596875
transcript.pyannote[3176].speaker SPEAKER_26
transcript.pyannote[3176].start 19188.74534375
transcript.pyannote[3176].end 19197.52034375
transcript.pyannote[3177].speaker SPEAKER_26
transcript.pyannote[3177].start 19197.82409375
transcript.pyannote[3177].end 19204.96221875
transcript.pyannote[3178].speaker SPEAKER_26
transcript.pyannote[3178].start 19205.16471875
transcript.pyannote[3178].end 19208.25284375
transcript.pyannote[3179].speaker SPEAKER_47
transcript.pyannote[3179].start 19208.65784375
transcript.pyannote[3179].end 19215.20534375
transcript.pyannote[3180].speaker SPEAKER_25
transcript.pyannote[3180].start 19217.82096875
transcript.pyannote[3180].end 19247.94284375
transcript.pyannote[3181].speaker SPEAKER_25
transcript.pyannote[3181].start 19248.78659375
transcript.pyannote[3181].end 19376.80034375
transcript.pyannote[3182].speaker SPEAKER_47
transcript.pyannote[3182].start 19378.30221875
transcript.pyannote[3182].end 19387.24596875
transcript.pyannote[3183].speaker SPEAKER_05
transcript.pyannote[3183].start 19387.54971875
transcript.pyannote[3183].end 19388.66346875
transcript.pyannote[3184].speaker SPEAKER_05
transcript.pyannote[3184].start 19389.13596875
transcript.pyannote[3184].end 19393.75971875
transcript.pyannote[3185].speaker SPEAKER_05
transcript.pyannote[3185].start 19393.91159375
transcript.pyannote[3185].end 19396.54409375
transcript.pyannote[3186].speaker SPEAKER_05
transcript.pyannote[3186].start 19397.42159375
transcript.pyannote[3186].end 19398.09659375
transcript.pyannote[3187].speaker SPEAKER_05
transcript.pyannote[3187].start 19398.48471875
transcript.pyannote[3187].end 19399.42971875
transcript.pyannote[3188].speaker SPEAKER_05
transcript.pyannote[3188].start 19400.03721875
transcript.pyannote[3188].end 19402.19721875
transcript.pyannote[3189].speaker SPEAKER_05
transcript.pyannote[3189].start 19402.88909375
transcript.pyannote[3189].end 19404.54284375
transcript.pyannote[3190].speaker SPEAKER_05
transcript.pyannote[3190].start 19405.13346875
transcript.pyannote[3190].end 19410.60096875
transcript.pyannote[3191].speaker SPEAKER_05
transcript.pyannote[3191].start 19411.17471875
transcript.pyannote[3191].end 19413.03096875
transcript.pyannote[3192].speaker SPEAKER_05
transcript.pyannote[3192].start 19413.79034375
transcript.pyannote[3192].end 19420.08471875
transcript.pyannote[3193].speaker SPEAKER_05
transcript.pyannote[3193].start 19420.59096875
transcript.pyannote[3193].end 19423.12221875
transcript.pyannote[3194].speaker SPEAKER_05
transcript.pyannote[3194].start 19424.13471875
transcript.pyannote[3194].end 19426.90221875
transcript.pyannote[3195].speaker SPEAKER_05
transcript.pyannote[3195].start 19427.42534375
transcript.pyannote[3195].end 19431.62721875
transcript.pyannote[3196].speaker SPEAKER_05
transcript.pyannote[3196].start 19432.09971875
transcript.pyannote[3196].end 19434.32721875
transcript.pyannote[3197].speaker SPEAKER_05
transcript.pyannote[3197].start 19435.17096875
transcript.pyannote[3197].end 19439.87909375
transcript.pyannote[3198].speaker SPEAKER_05
transcript.pyannote[3198].start 19440.53721875
transcript.pyannote[3198].end 19441.46534375
transcript.pyannote[3199].speaker SPEAKER_05
transcript.pyannote[3199].start 19442.07284375
transcript.pyannote[3199].end 19445.66721875
transcript.pyannote[3200].speaker SPEAKER_05
transcript.pyannote[3200].start 19446.10596875
transcript.pyannote[3200].end 19449.00846875
transcript.pyannote[3201].speaker SPEAKER_05
transcript.pyannote[3201].start 19449.54846875
transcript.pyannote[3201].end 19452.36659375
transcript.pyannote[3202].speaker SPEAKER_05
transcript.pyannote[3202].start 19453.04159375
transcript.pyannote[3202].end 19457.00721875
transcript.pyannote[3203].speaker SPEAKER_05
transcript.pyannote[3203].start 19457.61471875
transcript.pyannote[3203].end 19460.16284375
transcript.pyannote[3204].speaker SPEAKER_05
transcript.pyannote[3204].start 19460.73659375
transcript.pyannote[3204].end 19463.48721875
transcript.pyannote[3205].speaker SPEAKER_05
transcript.pyannote[3205].start 19464.12846875
transcript.pyannote[3205].end 19465.51221875
transcript.pyannote[3206].speaker SPEAKER_05
transcript.pyannote[3206].start 19466.54159375
transcript.pyannote[3206].end 19469.03909375
transcript.pyannote[3207].speaker SPEAKER_05
transcript.pyannote[3207].start 19469.71409375
transcript.pyannote[3207].end 19473.40971875
transcript.pyannote[3208].speaker SPEAKER_05
transcript.pyannote[3208].start 19474.18596875
transcript.pyannote[3208].end 19478.80971875
transcript.pyannote[3209].speaker SPEAKER_05
transcript.pyannote[3209].start 19479.50159375
transcript.pyannote[3209].end 19481.34096875
transcript.pyannote[3210].speaker SPEAKER_05
transcript.pyannote[3210].start 19481.88096875
transcript.pyannote[3210].end 19485.71159375
transcript.pyannote[3211].speaker SPEAKER_47
transcript.pyannote[3211].start 19486.79159375
transcript.pyannote[3211].end 19490.60534375
transcript.pyannote[3212].speaker SPEAKER_05
transcript.pyannote[3212].start 19492.73159375
transcript.pyannote[3212].end 19492.74846875
transcript.pyannote[3213].speaker SPEAKER_09
transcript.pyannote[3213].start 19492.74846875
transcript.pyannote[3213].end 19496.51159375
transcript.pyannote[3214].speaker SPEAKER_09
transcript.pyannote[3214].start 19497.20346875
transcript.pyannote[3214].end 19503.78471875
transcript.pyannote[3215].speaker SPEAKER_09
transcript.pyannote[3215].start 19504.17284375
transcript.pyannote[3215].end 19515.86721875
transcript.pyannote[3216].speaker SPEAKER_09
transcript.pyannote[3216].start 19516.17096875
transcript.pyannote[3216].end 19527.51096875
transcript.pyannote[3217].speaker SPEAKER_09
transcript.pyannote[3217].start 19527.73034375
transcript.pyannote[3217].end 19530.07596875
transcript.pyannote[3218].speaker SPEAKER_09
transcript.pyannote[3218].start 19530.29534375
transcript.pyannote[3218].end 19548.13221875
transcript.pyannote[3219].speaker SPEAKER_09
transcript.pyannote[3219].start 19548.21659375
transcript.pyannote[3219].end 19564.78784375
transcript.pyannote[3220].speaker SPEAKER_47
transcript.pyannote[3220].start 19566.50909375
transcript.pyannote[3220].end 19567.03221875
transcript.pyannote[3221].speaker SPEAKER_47
transcript.pyannote[3221].start 19567.28534375
transcript.pyannote[3221].end 19569.27659375
transcript.pyannote[3222].speaker SPEAKER_47
transcript.pyannote[3222].start 19569.66471875
transcript.pyannote[3222].end 19571.03159375
transcript.pyannote[3223].speaker SPEAKER_43
transcript.pyannote[3223].start 19571.03159375
transcript.pyannote[3223].end 19575.26721875
transcript.pyannote[3224].speaker SPEAKER_43
transcript.pyannote[3224].start 19575.68909375
transcript.pyannote[3224].end 19614.75471875
transcript.pyannote[3225].speaker SPEAKER_43
transcript.pyannote[3225].start 19615.27784375
transcript.pyannote[3225].end 19678.40721875
transcript.pyannote[3226].speaker SPEAKER_43
transcript.pyannote[3226].start 19678.76159375
transcript.pyannote[3226].end 19726.33221875
transcript.pyannote[3227].speaker SPEAKER_43
transcript.pyannote[3227].start 19726.88909375
transcript.pyannote[3227].end 19738.19534375
transcript.pyannote[3228].speaker SPEAKER_43
transcript.pyannote[3228].start 19738.70159375
transcript.pyannote[3228].end 19756.18409375
transcript.pyannote[3229].speaker SPEAKER_43
transcript.pyannote[3229].start 19757.36534375
transcript.pyannote[3229].end 19758.02346875
transcript.pyannote[3230].speaker SPEAKER_43
transcript.pyannote[3230].start 19760.36909375
transcript.pyannote[3230].end 19793.20784375
transcript.pyannote[3231].speaker SPEAKER_43
transcript.pyannote[3231].start 19793.41034375
transcript.pyannote[3231].end 19857.83909375
transcript.pyannote[3232].speaker SPEAKER_43
transcript.pyannote[3232].start 19858.05846875
transcript.pyannote[3232].end 19884.41721875
transcript.pyannote[3233].speaker SPEAKER_43
transcript.pyannote[3233].start 19885.27784375
transcript.pyannote[3233].end 19885.90221875
transcript.pyannote[3234].speaker SPEAKER_43
transcript.pyannote[3234].start 19886.59409375
transcript.pyannote[3234].end 19891.26846875
transcript.pyannote[3235].speaker SPEAKER_47
transcript.pyannote[3235].start 19891.26846875
transcript.pyannote[3235].end 19891.28534375
transcript.pyannote[3236].speaker SPEAKER_43
transcript.pyannote[3236].start 19891.96034375
transcript.pyannote[3236].end 19891.99409375
transcript.pyannote[3237].speaker SPEAKER_47
transcript.pyannote[3237].start 19891.99409375
transcript.pyannote[3237].end 19893.56346875
transcript.pyannote[3238].speaker SPEAKER_47
transcript.pyannote[3238].start 19894.08659375
transcript.pyannote[3238].end 19897.05659375
transcript.pyannote[3239].speaker SPEAKER_47
transcript.pyannote[3239].start 19897.56284375
transcript.pyannote[3239].end 19901.52846875
transcript.pyannote[3240].speaker SPEAKER_47
transcript.pyannote[3240].start 19901.66346875
transcript.pyannote[3240].end 19903.08096875
transcript.pyannote[3241].speaker SPEAKER_47
transcript.pyannote[3241].start 19903.09784375
transcript.pyannote[3241].end 19914.64034375
transcript.pyannote[3242].speaker SPEAKER_47
transcript.pyannote[3242].start 19914.99471875
transcript.pyannote[3242].end 19918.70721875
transcript.pyannote[3243].speaker SPEAKER_47
transcript.pyannote[3243].start 19918.92659375
transcript.pyannote[3243].end 19921.37346875
transcript.pyannote[3244].speaker SPEAKER_47
transcript.pyannote[3244].start 19921.40721875
transcript.pyannote[3244].end 19927.12784375
transcript.pyannote[3245].speaker SPEAKER_47
transcript.pyannote[3245].start 19927.41471875
transcript.pyannote[3245].end 19930.14846875
transcript.pyannote[3246].speaker SPEAKER_47
transcript.pyannote[3246].start 19930.58721875
transcript.pyannote[3246].end 19939.48034375
transcript.pyannote[3247].speaker SPEAKER_47
transcript.pyannote[3247].start 19939.71659375
transcript.pyannote[3247].end 19955.59596875
transcript.pyannote[3248].speaker SPEAKER_47
transcript.pyannote[3248].start 19955.86596875
transcript.pyannote[3248].end 19958.48159375
transcript.pyannote[3249].speaker SPEAKER_47
transcript.pyannote[3249].start 19958.76846875
transcript.pyannote[3249].end 19962.16034375
transcript.pyannote[3250].speaker SPEAKER_47
transcript.pyannote[3250].start 19962.63284375
transcript.pyannote[3250].end 19964.52284375
transcript.pyannote[3251].speaker SPEAKER_47
transcript.pyannote[3251].start 19964.75909375
transcript.pyannote[3251].end 19965.45096875
transcript.pyannote[3252].speaker SPEAKER_47
transcript.pyannote[3252].start 19965.53534375
transcript.pyannote[3252].end 19967.49284375
transcript.pyannote[3253].speaker SPEAKER_47
transcript.pyannote[3253].start 19967.83034375
transcript.pyannote[3253].end 19970.93534375
transcript.pyannote[3254].speaker SPEAKER_47
transcript.pyannote[3254].start 19971.17159375
transcript.pyannote[3254].end 19975.44096875
transcript.pyannote[3255].speaker SPEAKER_47
transcript.pyannote[3255].start 19975.87971875
transcript.pyannote[3255].end 19977.90471875
transcript.pyannote[3256].speaker SPEAKER_47
transcript.pyannote[3256].start 19978.22534375
transcript.pyannote[3256].end 19989.64971875
transcript.pyannote[3257].speaker SPEAKER_47
transcript.pyannote[3257].start 19989.97034375
transcript.pyannote[3257].end 19990.52721875
transcript.pyannote[3258].speaker SPEAKER_47
transcript.pyannote[3258].start 19990.94909375
transcript.pyannote[3258].end 19994.88096875
transcript.pyannote[3259].speaker SPEAKER_47
transcript.pyannote[3259].start 19995.15096875
transcript.pyannote[3259].end 19997.07471875
transcript.pyannote[3260].speaker SPEAKER_47
transcript.pyannote[3260].start 19997.34471875
transcript.pyannote[3260].end 20001.37784375
transcript.pyannote[3261].speaker SPEAKER_47
transcript.pyannote[3261].start 20001.71534375
transcript.pyannote[3261].end 20005.09034375
transcript.pyannote[3262].speaker SPEAKER_47
transcript.pyannote[3262].start 20005.32659375
transcript.pyannote[3262].end 20008.33034375
transcript.pyannote[3263].speaker SPEAKER_47
transcript.pyannote[3263].start 20008.73534375
transcript.pyannote[3263].end 20011.23284375
transcript.pyannote[3264].speaker SPEAKER_47
transcript.pyannote[3264].start 20011.51971875
transcript.pyannote[3264].end 20022.92721875
transcript.pyannote[3265].speaker SPEAKER_47
transcript.pyannote[3265].start 20023.28159375
transcript.pyannote[3265].end 20027.29784375
transcript.pyannote[3266].speaker SPEAKER_47
transcript.pyannote[3266].start 20027.50034375
transcript.pyannote[3266].end 20029.40721875
transcript.pyannote[3267].speaker SPEAKER_47
transcript.pyannote[3267].start 20029.69409375
transcript.pyannote[3267].end 20031.65159375
transcript.pyannote[3268].speaker SPEAKER_47
transcript.pyannote[3268].start 20031.82034375
transcript.pyannote[3268].end 20033.03534375
transcript.pyannote[3269].speaker SPEAKER_47
transcript.pyannote[3269].start 20033.17034375
transcript.pyannote[3269].end 20034.97596875
transcript.pyannote[3270].speaker SPEAKER_47
transcript.pyannote[3270].start 20035.34721875
transcript.pyannote[3270].end 20039.46471875
transcript.pyannote[3271].speaker SPEAKER_47
transcript.pyannote[3271].start 20039.80221875
transcript.pyannote[3271].end 20047.71659375
transcript.pyannote[3272].speaker SPEAKER_47
transcript.pyannote[3272].start 20048.47596875
transcript.pyannote[3272].end 20054.21346875
transcript.pyannote[3273].speaker SPEAKER_47
transcript.pyannote[3273].start 20054.56784375
transcript.pyannote[3273].end 20058.04409375
transcript.pyannote[3274].speaker SPEAKER_47
transcript.pyannote[3274].start 20058.26346875
transcript.pyannote[3274].end 20060.57534375
transcript.pyannote[3275].speaker SPEAKER_47
transcript.pyannote[3275].start 20060.77784375
transcript.pyannote[3275].end 20075.76284375
transcript.pyannote[3276].speaker SPEAKER_14
transcript.pyannote[3276].start 20075.93159375
transcript.pyannote[3276].end 20161.79159375
transcript.pyannote[3277].speaker SPEAKER_14
transcript.pyannote[3277].start 20162.87159375
transcript.pyannote[3277].end 20334.37221875
transcript.pyannote[3278].speaker SPEAKER_14
transcript.pyannote[3278].start 20335.53659375
transcript.pyannote[3278].end 20458.84221875
transcript.pyannote[3279].speaker SPEAKER_14
transcript.pyannote[3279].start 20459.92221875
transcript.pyannote[3279].end 20701.99409375
transcript.pyannote[3280].speaker SPEAKER_47
transcript.pyannote[3280].start 20702.43284375
transcript.pyannote[3280].end 20706.09471875
transcript.pyannote[3281].speaker SPEAKER_37
transcript.pyannote[3281].start 20709.60471875
transcript.pyannote[3281].end 20738.81534375
transcript.pyannote[3282].speaker SPEAKER_37
transcript.pyannote[3282].start 20741.76846875
transcript.pyannote[3282].end 20741.80221875
transcript.pyannote[3283].speaker SPEAKER_47
transcript.pyannote[3283].start 20741.80221875
transcript.pyannote[3283].end 20745.21096875
transcript.pyannote[3284].speaker SPEAKER_47
transcript.pyannote[3284].start 20745.61596875
transcript.pyannote[3284].end 20752.97346875
transcript.pyannote[3285].speaker SPEAKER_47
transcript.pyannote[3285].start 20753.07471875
transcript.pyannote[3285].end 20759.94284375
transcript.pyannote[3286].speaker SPEAKER_47
transcript.pyannote[3286].start 20760.22971875
transcript.pyannote[3286].end 20761.95096875
transcript.pyannote[3287].speaker SPEAKER_47
transcript.pyannote[3287].start 20762.17034375
transcript.pyannote[3287].end 20767.31721875
transcript.pyannote[3288].speaker SPEAKER_47
transcript.pyannote[3288].start 20767.55346875
transcript.pyannote[3288].end 20767.84034375
transcript.pyannote[3289].speaker SPEAKER_47
transcript.pyannote[3289].start 20768.29596875
transcript.pyannote[3289].end 20771.87346875
transcript.pyannote[3290].speaker SPEAKER_47
transcript.pyannote[3290].start 20772.44721875
transcript.pyannote[3290].end 20773.08846875
transcript.pyannote[3291].speaker SPEAKER_47
transcript.pyannote[3291].start 20773.84784375
transcript.pyannote[3291].end 20775.58596875
transcript.pyannote[3292].speaker SPEAKER_47
transcript.pyannote[3292].start 20776.14284375
transcript.pyannote[3292].end 20779.12971875
transcript.pyannote[3293].speaker SPEAKER_47
transcript.pyannote[3293].start 20779.43346875
transcript.pyannote[3293].end 20781.40784375
transcript.pyannote[3294].speaker SPEAKER_47
transcript.pyannote[3294].start 20781.49221875
transcript.pyannote[3294].end 20781.66096875
transcript.pyannote[3295].speaker SPEAKER_47
transcript.pyannote[3295].start 20781.91409375
transcript.pyannote[3295].end 20783.65221875
transcript.pyannote[3296].speaker SPEAKER_42
transcript.pyannote[3296].start 20784.12471875
transcript.pyannote[3296].end 20785.28909375
transcript.pyannote[3297].speaker SPEAKER_05
transcript.pyannote[3297].start 20785.28909375
transcript.pyannote[3297].end 20785.39034375
transcript.pyannote[3298].speaker SPEAKER_47
transcript.pyannote[3298].start 20785.96409375
transcript.pyannote[3298].end 20788.90034375
transcript.pyannote[3299].speaker SPEAKER_42
transcript.pyannote[3299].start 20789.27159375
transcript.pyannote[3299].end 20790.43596875
transcript.pyannote[3300].speaker SPEAKER_47
transcript.pyannote[3300].start 20790.72284375
transcript.pyannote[3300].end 20795.17784375
transcript.pyannote[3301].speaker SPEAKER_42
transcript.pyannote[3301].start 20792.08971875
transcript.pyannote[3301].end 20793.45659375
transcript.pyannote[3302].speaker SPEAKER_09
transcript.pyannote[3302].start 20793.45659375
transcript.pyannote[3302].end 20793.77721875
transcript.pyannote[3303].speaker SPEAKER_09
transcript.pyannote[3303].start 20794.40159375
transcript.pyannote[3303].end 20794.45221875
transcript.pyannote[3304].speaker SPEAKER_42
transcript.pyannote[3304].start 20794.45221875
transcript.pyannote[3304].end 20794.50284375
transcript.pyannote[3305].speaker SPEAKER_09
transcript.pyannote[3305].start 20794.50284375
transcript.pyannote[3305].end 20794.70534375
transcript.pyannote[3306].speaker SPEAKER_47
transcript.pyannote[3306].start 20796.19034375
transcript.pyannote[3306].end 20796.20721875
transcript.pyannote[3307].speaker SPEAKER_09
transcript.pyannote[3307].start 20796.20721875
transcript.pyannote[3307].end 20797.72596875
transcript.pyannote[3308].speaker SPEAKER_47
transcript.pyannote[3308].start 20797.33784375
transcript.pyannote[3308].end 20808.34034375
transcript.pyannote[3309].speaker SPEAKER_05
transcript.pyannote[3309].start 20807.49659375
transcript.pyannote[3309].end 20807.71596875
transcript.pyannote[3310].speaker SPEAKER_42
transcript.pyannote[3310].start 20807.71596875
transcript.pyannote[3310].end 20810.28096875
transcript.pyannote[3311].speaker SPEAKER_05
transcript.pyannote[3311].start 20810.28096875
transcript.pyannote[3311].end 20810.34846875
transcript.pyannote[3312].speaker SPEAKER_47
transcript.pyannote[3312].start 20811.22596875
transcript.pyannote[3312].end 20819.02221875
transcript.pyannote[3313].speaker SPEAKER_47
transcript.pyannote[3313].start 20819.39346875
transcript.pyannote[3313].end 20825.72159375
transcript.pyannote[3314].speaker SPEAKER_47
transcript.pyannote[3314].start 20827.08846875
transcript.pyannote[3314].end 20837.02784375
transcript.pyannote[3315].speaker SPEAKER_42
transcript.pyannote[3315].start 20836.82534375
transcript.pyannote[3315].end 20837.12909375
transcript.pyannote[3316].speaker SPEAKER_47
transcript.pyannote[3316].start 20837.12909375
transcript.pyannote[3316].end 20843.18721875
transcript.pyannote[3317].speaker SPEAKER_47
transcript.pyannote[3317].start 20843.91284375
transcript.pyannote[3317].end 20846.37659375
transcript.pyannote[3318].speaker SPEAKER_14
transcript.pyannote[3318].start 20845.87034375
transcript.pyannote[3318].end 20846.10659375
transcript.pyannote[3319].speaker SPEAKER_14
transcript.pyannote[3319].start 20846.78159375
transcript.pyannote[3319].end 20847.22034375
transcript.pyannote[3320].speaker SPEAKER_14
transcript.pyannote[3320].start 20848.62096875
transcript.pyannote[3320].end 20849.21159375
transcript.pyannote[3321].speaker SPEAKER_14
transcript.pyannote[3321].start 20850.83159375
transcript.pyannote[3321].end 20851.27034375
transcript.pyannote[3322].speaker SPEAKER_14
transcript.pyannote[3322].start 20860.02846875
transcript.pyannote[3322].end 20860.31534375
transcript.pyannote[3323].speaker SPEAKER_14
transcript.pyannote[3323].start 20862.18846875
transcript.pyannote[3323].end 20877.62909375
transcript.pyannote[3324].speaker SPEAKER_42
transcript.pyannote[3324].start 20870.13659375
transcript.pyannote[3324].end 20871.31784375
transcript.pyannote[3325].speaker SPEAKER_47
transcript.pyannote[3325].start 20871.31784375
transcript.pyannote[3325].end 20871.41909375
transcript.pyannote[3326].speaker SPEAKER_42
transcript.pyannote[3326].start 20871.41909375
transcript.pyannote[3326].end 20872.75221875
transcript.pyannote[3327].speaker SPEAKER_14
transcript.pyannote[3327].start 20880.26159375
transcript.pyannote[3327].end 20891.80409375
transcript.pyannote[3328].speaker SPEAKER_47
transcript.pyannote[3328].start 20891.80409375
transcript.pyannote[3328].end 20892.22596875
transcript.pyannote[3329].speaker SPEAKER_47
transcript.pyannote[3329].start 20893.96409375
transcript.pyannote[3329].end 20895.61784375
transcript.pyannote[3330].speaker SPEAKER_14
transcript.pyannote[3330].start 20894.47034375
transcript.pyannote[3330].end 20895.43221875
transcript.pyannote[3331].speaker SPEAKER_47
transcript.pyannote[3331].start 20895.66846875
transcript.pyannote[3331].end 20896.14096875
transcript.pyannote[3332].speaker SPEAKER_14
transcript.pyannote[3332].start 20896.14096875
transcript.pyannote[3332].end 20896.46159375
transcript.pyannote[3333].speaker SPEAKER_14
transcript.pyannote[3333].start 20896.74846875
transcript.pyannote[3333].end 20911.98659375
transcript.pyannote[3334].speaker SPEAKER_05
transcript.pyannote[3334].start 20904.40971875
transcript.pyannote[3334].end 20904.42659375
transcript.pyannote[3335].speaker SPEAKER_43
transcript.pyannote[3335].start 20904.42659375
transcript.pyannote[3335].end 20904.44346875
transcript.pyannote[3336].speaker SPEAKER_42
transcript.pyannote[3336].start 20904.44346875
transcript.pyannote[3336].end 20906.97471875
transcript.pyannote[3337].speaker SPEAKER_00
transcript.pyannote[3337].start 20906.97471875
transcript.pyannote[3337].end 20908.08846875
transcript.pyannote[3338].speaker SPEAKER_41
transcript.pyannote[3338].start 20908.08846875
transcript.pyannote[3338].end 20908.54409375
transcript.pyannote[3339].speaker SPEAKER_05
transcript.pyannote[3339].start 20908.54409375
transcript.pyannote[3339].end 20908.71284375
transcript.pyannote[3340].speaker SPEAKER_41
transcript.pyannote[3340].start 20908.71284375
transcript.pyannote[3340].end 20909.03346875
transcript.pyannote[3341].speaker SPEAKER_05
transcript.pyannote[3341].start 20909.03346875
transcript.pyannote[3341].end 20909.08409375
transcript.pyannote[3342].speaker SPEAKER_20
transcript.pyannote[3342].start 20909.08409375
transcript.pyannote[3342].end 20909.11784375
transcript.pyannote[3343].speaker SPEAKER_05
transcript.pyannote[3343].start 20909.11784375
transcript.pyannote[3343].end 20909.72534375
transcript.pyannote[3344].speaker SPEAKER_20
transcript.pyannote[3344].start 20909.72534375
transcript.pyannote[3344].end 20910.82221875
transcript.pyannote[3345].speaker SPEAKER_41
transcript.pyannote[3345].start 20910.82221875
transcript.pyannote[3345].end 20910.83909375
transcript.pyannote[3346].speaker SPEAKER_05
transcript.pyannote[3346].start 20911.66596875
transcript.pyannote[3346].end 20912.10471875
transcript.pyannote[3347].speaker SPEAKER_05
transcript.pyannote[3347].start 20912.84721875
transcript.pyannote[3347].end 20918.24721875
transcript.pyannote[3348].speaker SPEAKER_14
transcript.pyannote[3348].start 20915.91846875
transcript.pyannote[3348].end 20917.08284375
transcript.pyannote[3349].speaker SPEAKER_14
transcript.pyannote[3349].start 20918.02784375
transcript.pyannote[3349].end 20918.17971875
transcript.pyannote[3350].speaker SPEAKER_14
transcript.pyannote[3350].start 20918.24721875
transcript.pyannote[3350].end 20918.92221875
transcript.pyannote[3351].speaker SPEAKER_14
transcript.pyannote[3351].start 20919.25971875
transcript.pyannote[3351].end 20920.55909375
transcript.pyannote[3352].speaker SPEAKER_05
transcript.pyannote[3352].start 20919.71534375
transcript.pyannote[3352].end 20919.93471875
transcript.pyannote[3353].speaker SPEAKER_14
transcript.pyannote[3353].start 20921.21721875
transcript.pyannote[3353].end 20923.00596875
transcript.pyannote[3354].speaker SPEAKER_47
transcript.pyannote[3354].start 20921.31846875
transcript.pyannote[3354].end 20921.90909375
transcript.pyannote[3355].speaker SPEAKER_47
transcript.pyannote[3355].start 20922.36471875
transcript.pyannote[3355].end 20930.92034375
transcript.pyannote[3356].speaker SPEAKER_47
transcript.pyannote[3356].start 20931.19034375
transcript.pyannote[3356].end 20931.57846875
transcript.pyannote[3357].speaker SPEAKER_47
transcript.pyannote[3357].start 20932.37159375
transcript.pyannote[3357].end 20935.22346875
transcript.pyannote[3358].speaker SPEAKER_32
transcript.pyannote[3358].start 20936.21909375
transcript.pyannote[3358].end 20936.79284375
transcript.pyannote[3359].speaker SPEAKER_32
transcript.pyannote[3359].start 20936.97846875
transcript.pyannote[3359].end 20937.02909375
transcript.pyannote[3360].speaker SPEAKER_32
transcript.pyannote[3360].start 20937.23159375
transcript.pyannote[3360].end 20937.46784375
transcript.pyannote[3361].speaker SPEAKER_32
transcript.pyannote[3361].start 20938.09221875
transcript.pyannote[3361].end 20940.53909375
transcript.pyannote[3362].speaker SPEAKER_21
transcript.pyannote[3362].start 20938.96971875
transcript.pyannote[3362].end 20939.03721875
transcript.pyannote[3363].speaker SPEAKER_30
transcript.pyannote[3363].start 20939.03721875
transcript.pyannote[3363].end 20951.38971875
transcript.pyannote[3364].speaker SPEAKER_32
transcript.pyannote[3364].start 20943.22221875
transcript.pyannote[3364].end 20944.08284375
transcript.pyannote[3365].speaker SPEAKER_21
transcript.pyannote[3365].start 20944.08284375
transcript.pyannote[3365].end 20944.21784375
transcript.pyannote[3366].speaker SPEAKER_32
transcript.pyannote[3366].start 20944.21784375
transcript.pyannote[3366].end 20944.97721875
transcript.pyannote[3367].speaker SPEAKER_14
transcript.pyannote[3367].start 20944.97721875
transcript.pyannote[3367].end 20944.99409375
transcript.pyannote[3368].speaker SPEAKER_32
transcript.pyannote[3368].start 20944.99409375
transcript.pyannote[3368].end 20945.12909375
transcript.pyannote[3369].speaker SPEAKER_21
transcript.pyannote[3369].start 20945.12909375
transcript.pyannote[3369].end 20945.14596875
transcript.pyannote[3370].speaker SPEAKER_14
transcript.pyannote[3370].start 20948.62221875
transcript.pyannote[3370].end 20948.67284375
transcript.pyannote[3371].speaker SPEAKER_14
transcript.pyannote[3371].start 20950.51221875
transcript.pyannote[3371].end 20950.52909375
transcript.pyannote[3372].speaker SPEAKER_47
transcript.pyannote[3372].start 20950.52909375
transcript.pyannote[3372].end 20950.54596875
transcript.pyannote[3373].speaker SPEAKER_14
transcript.pyannote[3373].start 20950.54596875
transcript.pyannote[3373].end 20953.97159375
transcript.pyannote[3374].speaker SPEAKER_47
transcript.pyannote[3374].start 20951.38971875
transcript.pyannote[3374].end 20951.59221875
transcript.pyannote[3375].speaker SPEAKER_42
transcript.pyannote[3375].start 20951.59221875
transcript.pyannote[3375].end 20952.43596875
transcript.pyannote[3376].speaker SPEAKER_47
transcript.pyannote[3376].start 20952.43596875
transcript.pyannote[3376].end 20956.03034375
transcript.pyannote[3377].speaker SPEAKER_42
transcript.pyannote[3377].start 20953.97159375
transcript.pyannote[3377].end 20957.51534375
transcript.pyannote[3378].speaker SPEAKER_43
transcript.pyannote[3378].start 20956.03034375
transcript.pyannote[3378].end 20956.06409375
transcript.pyannote[3379].speaker SPEAKER_43
transcript.pyannote[3379].start 20956.24971875
transcript.pyannote[3379].end 20956.35096875
transcript.pyannote[3380].speaker SPEAKER_47
transcript.pyannote[3380].start 20956.35096875
transcript.pyannote[3380].end 20956.40159375
transcript.pyannote[3381].speaker SPEAKER_42
transcript.pyannote[3381].start 20957.97096875
transcript.pyannote[3381].end 20960.65409375
transcript.pyannote[3382].speaker SPEAKER_43
transcript.pyannote[3382].start 20958.05534375
transcript.pyannote[3382].end 20963.33721875
transcript.pyannote[3383].speaker SPEAKER_47
transcript.pyannote[3383].start 20960.65409375
transcript.pyannote[3383].end 20962.93221875
transcript.pyannote[3384].speaker SPEAKER_42
transcript.pyannote[3384].start 20962.93221875
transcript.pyannote[3384].end 20962.94909375
transcript.pyannote[3385].speaker SPEAKER_43
transcript.pyannote[3385].start 20964.06284375
transcript.pyannote[3385].end 20967.72471875
transcript.pyannote[3386].speaker SPEAKER_47
transcript.pyannote[3386].start 20964.48471875
transcript.pyannote[3386].end 20967.35346875
transcript.pyannote[3387].speaker SPEAKER_43
transcript.pyannote[3387].start 20968.39971875
transcript.pyannote[3387].end 20968.82159375
transcript.pyannote[3388].speaker SPEAKER_43
transcript.pyannote[3388].start 20969.10846875
transcript.pyannote[3388].end 20969.96909375
transcript.pyannote[3389].speaker SPEAKER_47
transcript.pyannote[3389].start 20969.96909375
transcript.pyannote[3389].end 21020.23971875
transcript.pyannote[3390].speaker SPEAKER_43
transcript.pyannote[3390].start 20972.95596875
transcript.pyannote[3390].end 20974.96409375
transcript.pyannote[3391].speaker SPEAKER_00
transcript.pyannote[3391].start 20974.96409375
transcript.pyannote[3391].end 20976.28034375
transcript.pyannote[3392].speaker SPEAKER_00
transcript.pyannote[3392].start 20978.71034375
transcript.pyannote[3392].end 20979.23346875
transcript.pyannote[3393].speaker SPEAKER_45
transcript.pyannote[3393].start 20979.23346875
transcript.pyannote[3393].end 20980.11096875
transcript.pyannote[3394].speaker SPEAKER_43
transcript.pyannote[3394].start 20991.48471875
transcript.pyannote[3394].end 20992.12596875
transcript.pyannote[3395].speaker SPEAKER_47
transcript.pyannote[3395].start 21020.69534375
transcript.pyannote[3395].end 21035.15721875
transcript.pyannote[3396].speaker SPEAKER_47
transcript.pyannote[3396].start 21036.45659375
transcript.pyannote[3396].end 21037.77284375
transcript.pyannote[3397].speaker SPEAKER_14
transcript.pyannote[3397].start 21037.48596875
transcript.pyannote[3397].end 21037.55346875
transcript.pyannote[3398].speaker SPEAKER_14
transcript.pyannote[3398].start 21038.12721875
transcript.pyannote[3398].end 21096.61596875
transcript.pyannote[3399].speaker SPEAKER_14
transcript.pyannote[3399].start 21096.71721875
transcript.pyannote[3399].end 21124.07159375
transcript.pyannote[3400].speaker SPEAKER_15
transcript.pyannote[3400].start 21125.10096875
transcript.pyannote[3400].end 21132.35721875
transcript.pyannote[3401].speaker SPEAKER_47
transcript.pyannote[3401].start 21131.46284375
transcript.pyannote[3401].end 21134.02784375
transcript.pyannote[3402].speaker SPEAKER_21
transcript.pyannote[3402].start 21132.35721875
transcript.pyannote[3402].end 21132.37409375
transcript.pyannote[3403].speaker SPEAKER_21
transcript.pyannote[3403].start 21134.28096875
transcript.pyannote[3403].end 21137.28471875
transcript.pyannote[3404].speaker SPEAKER_47
transcript.pyannote[3404].start 21137.11596875
transcript.pyannote[3404].end 21137.55471875
transcript.pyannote[3405].speaker SPEAKER_47
transcript.pyannote[3405].start 21137.63909375
transcript.pyannote[3405].end 21137.65596875
transcript.pyannote[3406].speaker SPEAKER_47
transcript.pyannote[3406].start 21137.70659375
transcript.pyannote[3406].end 21139.24221875
transcript.pyannote[3407].speaker SPEAKER_21
transcript.pyannote[3407].start 21138.65159375
transcript.pyannote[3407].end 21142.88721875
transcript.pyannote[3408].speaker SPEAKER_21
transcript.pyannote[3408].start 21142.90409375
transcript.pyannote[3408].end 21143.61284375
transcript.pyannote[3409].speaker SPEAKER_21
transcript.pyannote[3409].start 21144.42284375
transcript.pyannote[3409].end 21148.82721875
transcript.pyannote[3410].speaker SPEAKER_21
transcript.pyannote[3410].start 21148.96221875
transcript.pyannote[3410].end 21160.63971875
transcript.pyannote[3411].speaker SPEAKER_21
transcript.pyannote[3411].start 21161.36534375
transcript.pyannote[3411].end 21162.20909375
transcript.pyannote[3412].speaker SPEAKER_16
transcript.pyannote[3412].start 21161.55096875
transcript.pyannote[3412].end 21164.53784375
transcript.pyannote[3413].speaker SPEAKER_21
transcript.pyannote[3413].start 21164.63909375
transcript.pyannote[3413].end 21174.40971875
transcript.pyannote[3414].speaker SPEAKER_47
transcript.pyannote[3414].start 21165.38159375
transcript.pyannote[3414].end 21165.43221875
transcript.pyannote[3415].speaker SPEAKER_16
transcript.pyannote[3415].start 21165.43221875
transcript.pyannote[3415].end 21165.66846875
transcript.pyannote[3416].speaker SPEAKER_47
transcript.pyannote[3416].start 21165.66846875
transcript.pyannote[3416].end 21165.68534375
transcript.pyannote[3417].speaker SPEAKER_16
transcript.pyannote[3417].start 21165.68534375
transcript.pyannote[3417].end 21166.02284375
transcript.pyannote[3418].speaker SPEAKER_47
transcript.pyannote[3418].start 21166.02284375
transcript.pyannote[3418].end 21166.71471875
transcript.pyannote[3419].speaker SPEAKER_47
transcript.pyannote[3419].start 21167.15346875
transcript.pyannote[3419].end 21168.26721875
transcript.pyannote[3420].speaker SPEAKER_16
transcript.pyannote[3420].start 21168.26721875
transcript.pyannote[3420].end 21168.30096875
transcript.pyannote[3421].speaker SPEAKER_47
transcript.pyannote[3421].start 21169.02659375
transcript.pyannote[3421].end 21171.40596875
transcript.pyannote[3422].speaker SPEAKER_21
transcript.pyannote[3422].start 21174.57846875
transcript.pyannote[3422].end 21175.16909375
transcript.pyannote[3423].speaker SPEAKER_47
transcript.pyannote[3423].start 21174.67971875
transcript.pyannote[3423].end 21175.05096875
transcript.pyannote[3424].speaker SPEAKER_47
transcript.pyannote[3424].start 21175.28721875
transcript.pyannote[3424].end 21175.84409375
transcript.pyannote[3425].speaker SPEAKER_21
transcript.pyannote[3425].start 21175.57409375
transcript.pyannote[3425].end 21176.43471875
transcript.pyannote[3426].speaker SPEAKER_21
transcript.pyannote[3426].start 21176.77221875
transcript.pyannote[3426].end 21179.75909375
transcript.pyannote[3427].speaker SPEAKER_47
transcript.pyannote[3427].start 21179.75909375
transcript.pyannote[3427].end 21181.12596875
transcript.pyannote[3428].speaker SPEAKER_47
transcript.pyannote[3428].start 21183.42096875
transcript.pyannote[3428].end 21186.84659375
transcript.pyannote[3429].speaker SPEAKER_47
transcript.pyannote[3429].start 21188.83784375
transcript.pyannote[3429].end 21190.39034375
transcript.pyannote[3430].speaker SPEAKER_32
transcript.pyannote[3430].start 21190.71096875
transcript.pyannote[3430].end 21195.63846875
transcript.pyannote[3431].speaker SPEAKER_15
transcript.pyannote[3431].start 21196.46534375
transcript.pyannote[3431].end 21202.91159375
transcript.pyannote[3432].speaker SPEAKER_15
transcript.pyannote[3432].start 21204.07596875
transcript.pyannote[3432].end 21205.00409375
transcript.pyannote[3433].speaker SPEAKER_42
transcript.pyannote[3433].start 21205.00409375
transcript.pyannote[3433].end 21205.59471875
transcript.pyannote[3434].speaker SPEAKER_42
transcript.pyannote[3434].start 21206.64096875
transcript.pyannote[3434].end 21206.91096875
transcript.pyannote[3435].speaker SPEAKER_42
transcript.pyannote[3435].start 21206.97846875
transcript.pyannote[3435].end 21207.02909375
transcript.pyannote[3436].speaker SPEAKER_15
transcript.pyannote[3436].start 21208.69971875
transcript.pyannote[3436].end 21211.07909375
transcript.pyannote[3437].speaker SPEAKER_47
transcript.pyannote[3437].start 21208.78409375
transcript.pyannote[3437].end 21225.72659375
transcript.pyannote[3438].speaker SPEAKER_47
transcript.pyannote[3438].start 21226.31721875
transcript.pyannote[3438].end 21237.75846875
transcript.pyannote[3439].speaker SPEAKER_42
transcript.pyannote[3439].start 21231.04221875
transcript.pyannote[3439].end 21231.34596875
transcript.pyannote[3440].speaker SPEAKER_47
transcript.pyannote[3440].start 21238.14659375
transcript.pyannote[3440].end 21240.32346875
transcript.pyannote[3441].speaker SPEAKER_15
transcript.pyannote[3441].start 21238.45034375
transcript.pyannote[3441].end 21239.14221875
transcript.pyannote[3442].speaker SPEAKER_15
transcript.pyannote[3442].start 21240.49221875
transcript.pyannote[3442].end 21263.27346875
transcript.pyannote[3443].speaker SPEAKER_14
transcript.pyannote[3443].start 21265.34909375
transcript.pyannote[3443].end 21354.34784375
transcript.pyannote[3444].speaker SPEAKER_15
transcript.pyannote[3444].start 21349.30221875
transcript.pyannote[3444].end 21350.63534375
transcript.pyannote[3445].speaker SPEAKER_14
transcript.pyannote[3445].start 21355.54596875
transcript.pyannote[3445].end 21371.39159375
transcript.pyannote[3446].speaker SPEAKER_15
transcript.pyannote[3446].start 21370.66596875
transcript.pyannote[3446].end 21371.12159375
transcript.pyannote[3447].speaker SPEAKER_15
transcript.pyannote[3447].start 21371.39159375
transcript.pyannote[3447].end 21372.79221875
transcript.pyannote[3448].speaker SPEAKER_14
transcript.pyannote[3448].start 21371.64471875
transcript.pyannote[3448].end 21372.94409375
transcript.pyannote[3449].speaker SPEAKER_15
transcript.pyannote[3449].start 21372.94409375
transcript.pyannote[3449].end 21373.31534375
transcript.pyannote[3450].speaker SPEAKER_14
transcript.pyannote[3450].start 21373.31534375
transcript.pyannote[3450].end 21373.58534375
transcript.pyannote[3451].speaker SPEAKER_15
transcript.pyannote[3451].start 21373.58534375
transcript.pyannote[3451].end 21374.20971875
transcript.pyannote[3452].speaker SPEAKER_14
transcript.pyannote[3452].start 21374.20971875
transcript.pyannote[3452].end 21374.34471875
transcript.pyannote[3453].speaker SPEAKER_15
transcript.pyannote[3453].start 21374.34471875
transcript.pyannote[3453].end 21374.93534375
transcript.pyannote[3454].speaker SPEAKER_14
transcript.pyannote[3454].start 21374.66534375
transcript.pyannote[3454].end 21374.80034375
transcript.pyannote[3455].speaker SPEAKER_14
transcript.pyannote[3455].start 21374.93534375
transcript.pyannote[3455].end 21382.59659375
transcript.pyannote[3456].speaker SPEAKER_15
transcript.pyannote[3456].start 21380.75721875
transcript.pyannote[3456].end 21385.49909375
transcript.pyannote[3457].speaker SPEAKER_47
transcript.pyannote[3457].start 21386.14034375
transcript.pyannote[3457].end 21386.34284375
transcript.pyannote[3458].speaker SPEAKER_15
transcript.pyannote[3458].start 21386.62971875
transcript.pyannote[3458].end 21387.05159375
transcript.pyannote[3459].speaker SPEAKER_47
transcript.pyannote[3459].start 21387.20346875
transcript.pyannote[3459].end 21395.11784375
transcript.pyannote[3460].speaker SPEAKER_14
transcript.pyannote[3460].start 21392.31659375
transcript.pyannote[3460].end 21396.87284375
transcript.pyannote[3461].speaker SPEAKER_47
transcript.pyannote[3461].start 21396.48471875
transcript.pyannote[3461].end 21399.67409375
transcript.pyannote[3462].speaker SPEAKER_14
transcript.pyannote[3462].start 21399.67409375
transcript.pyannote[3462].end 21402.18846875
transcript.pyannote[3463].speaker SPEAKER_47
transcript.pyannote[3463].start 21399.70784375
transcript.pyannote[3463].end 21400.19721875
transcript.pyannote[3464].speaker SPEAKER_47
transcript.pyannote[3464].start 21402.45846875
transcript.pyannote[3464].end 21403.84221875
transcript.pyannote[3465].speaker SPEAKER_47
transcript.pyannote[3465].start 21404.87159375
transcript.pyannote[3465].end 21407.18346875
transcript.pyannote[3466].speaker SPEAKER_47
transcript.pyannote[3466].start 21407.87534375
transcript.pyannote[3466].end 21412.83659375
transcript.pyannote[3467].speaker SPEAKER_47
transcript.pyannote[3467].start 21416.39721875
transcript.pyannote[3467].end 21425.86409375
transcript.pyannote[3468].speaker SPEAKER_47
transcript.pyannote[3468].start 21428.41221875
transcript.pyannote[3468].end 21432.81659375
transcript.pyannote[3469].speaker SPEAKER_21
transcript.pyannote[3469].start 21436.57971875
transcript.pyannote[3469].end 21439.63409375
transcript.pyannote[3470].speaker SPEAKER_47
transcript.pyannote[3470].start 21441.35534375
transcript.pyannote[3470].end 21442.72221875
transcript.pyannote[3471].speaker SPEAKER_21
transcript.pyannote[3471].start 21441.99659375
transcript.pyannote[3471].end 21443.46471875
transcript.pyannote[3472].speaker SPEAKER_21
transcript.pyannote[3472].start 21443.75159375
transcript.pyannote[3472].end 21455.07471875
transcript.pyannote[3473].speaker SPEAKER_21
transcript.pyannote[3473].start 21456.13784375
transcript.pyannote[3473].end 21461.60534375
transcript.pyannote[3474].speaker SPEAKER_21
transcript.pyannote[3474].start 21461.70659375
transcript.pyannote[3474].end 21464.08596875
transcript.pyannote[3475].speaker SPEAKER_21
transcript.pyannote[3475].start 21464.76096875
transcript.pyannote[3475].end 21469.95846875
transcript.pyannote[3476].speaker SPEAKER_21
transcript.pyannote[3476].start 21471.22409375
transcript.pyannote[3476].end 21474.26159375
transcript.pyannote[3477].speaker SPEAKER_21
transcript.pyannote[3477].start 21475.07159375
transcript.pyannote[3477].end 21480.96096875
transcript.pyannote[3478].speaker SPEAKER_21
transcript.pyannote[3478].start 21481.92284375
transcript.pyannote[3478].end 21482.95221875
transcript.pyannote[3479].speaker SPEAKER_21
transcript.pyannote[3479].start 21483.23909375
transcript.pyannote[3479].end 21484.60596875
transcript.pyannote[3480].speaker SPEAKER_21
transcript.pyannote[3480].start 21486.12471875
transcript.pyannote[3480].end 21487.05284375
transcript.pyannote[3481].speaker SPEAKER_21
transcript.pyannote[3481].start 21487.28909375
transcript.pyannote[3481].end 21490.12409375
transcript.pyannote[3482].speaker SPEAKER_21
transcript.pyannote[3482].start 21490.84971875
transcript.pyannote[3482].end 21503.99534375
transcript.pyannote[3483].speaker SPEAKER_21
transcript.pyannote[3483].start 21504.46784375
transcript.pyannote[3483].end 21511.26846875
transcript.pyannote[3484].speaker SPEAKER_21
transcript.pyannote[3484].start 21511.72409375
transcript.pyannote[3484].end 21518.33909375
transcript.pyannote[3485].speaker SPEAKER_21
transcript.pyannote[3485].start 21518.60909375
transcript.pyannote[3485].end 21522.10221875
transcript.pyannote[3486].speaker SPEAKER_21
transcript.pyannote[3486].start 21522.79409375
transcript.pyannote[3486].end 21601.41471875
transcript.pyannote[3487].speaker SPEAKER_47
transcript.pyannote[3487].start 21603.57471875
transcript.pyannote[3487].end 21604.95846875
transcript.pyannote[3488].speaker SPEAKER_47
transcript.pyannote[3488].start 21605.68409375
transcript.pyannote[3488].end 21607.11846875
transcript.pyannote[3489].speaker SPEAKER_27
transcript.pyannote[3489].start 21606.96659375
transcript.pyannote[3489].end 21611.77596875
transcript.pyannote[3490].speaker SPEAKER_27
transcript.pyannote[3490].start 21612.14721875
transcript.pyannote[3490].end 21657.03471875
transcript.pyannote[3491].speaker SPEAKER_27
transcript.pyannote[3491].start 21658.06409375
transcript.pyannote[3491].end 21669.65721875
transcript.pyannote[3492].speaker SPEAKER_27
transcript.pyannote[3492].start 21670.28159375
transcript.pyannote[3492].end 21685.21596875
transcript.pyannote[3493].speaker SPEAKER_27
transcript.pyannote[3493].start 21685.62096875
transcript.pyannote[3493].end 21691.51034375
transcript.pyannote[3494].speaker SPEAKER_27
transcript.pyannote[3494].start 21691.52721875
transcript.pyannote[3494].end 21691.54409375
transcript.pyannote[3495].speaker SPEAKER_27
transcript.pyannote[3495].start 21691.74659375
transcript.pyannote[3495].end 21697.61909375
transcript.pyannote[3496].speaker SPEAKER_47
transcript.pyannote[3496].start 21698.49659375
transcript.pyannote[3496].end 21701.12909375
transcript.pyannote[3497].speaker SPEAKER_09
transcript.pyannote[3497].start 21703.54221875
transcript.pyannote[3497].end 21710.24159375
transcript.pyannote[3498].speaker SPEAKER_09
transcript.pyannote[3498].start 21711.23721875
transcript.pyannote[3498].end 21718.66221875
transcript.pyannote[3499].speaker SPEAKER_47
transcript.pyannote[3499].start 21719.53971875
transcript.pyannote[3499].end 21720.19784375
transcript.pyannote[3500].speaker SPEAKER_09
transcript.pyannote[3500].start 21719.72534375
transcript.pyannote[3500].end 21720.55221875
transcript.pyannote[3501].speaker SPEAKER_47
transcript.pyannote[3501].start 21721.00784375
transcript.pyannote[3501].end 21724.02846875
transcript.pyannote[3502].speaker SPEAKER_47
transcript.pyannote[3502].start 21724.41659375
transcript.pyannote[3502].end 21725.10846875
transcript.pyannote[3503].speaker SPEAKER_47
transcript.pyannote[3503].start 21725.98596875
transcript.pyannote[3503].end 21729.39471875
transcript.pyannote[3504].speaker SPEAKER_09
transcript.pyannote[3504].start 21732.04409375
transcript.pyannote[3504].end 21752.37846875
transcript.pyannote[3505].speaker SPEAKER_09
transcript.pyannote[3505].start 21753.37409375
transcript.pyannote[3505].end 21755.73659375
transcript.pyannote[3506].speaker SPEAKER_09
transcript.pyannote[3506].start 21756.64784375
transcript.pyannote[3506].end 21777.74159375
transcript.pyannote[3507].speaker SPEAKER_09
transcript.pyannote[3507].start 21778.60221875
transcript.pyannote[3507].end 21790.33034375
transcript.pyannote[3508].speaker SPEAKER_09
transcript.pyannote[3508].start 21790.83659375
transcript.pyannote[3508].end 21795.27471875
transcript.pyannote[3509].speaker SPEAKER_09
transcript.pyannote[3509].start 21795.30846875
transcript.pyannote[3509].end 21798.46409375
transcript.pyannote[3510].speaker SPEAKER_09
transcript.pyannote[3510].start 21798.75096875
transcript.pyannote[3510].end 21808.42034375
transcript.pyannote[3511].speaker SPEAKER_09
transcript.pyannote[3511].start 21809.55096875
transcript.pyannote[3511].end 21851.13096875
transcript.pyannote[3512].speaker SPEAKER_09
transcript.pyannote[3512].start 21851.21534375
transcript.pyannote[3512].end 21854.01659375
transcript.pyannote[3513].speaker SPEAKER_47
transcript.pyannote[3513].start 21854.50596875
transcript.pyannote[3513].end 21858.92721875
transcript.pyannote[3514].speaker SPEAKER_25
transcript.pyannote[3514].start 21859.11284375
transcript.pyannote[3514].end 21921.04409375
transcript.pyannote[3515].speaker SPEAKER_25
transcript.pyannote[3515].start 21921.09471875
transcript.pyannote[3515].end 21947.09909375
transcript.pyannote[3516].speaker SPEAKER_47
transcript.pyannote[3516].start 21947.26784375
transcript.pyannote[3516].end 21950.47409375
transcript.pyannote[3517].speaker SPEAKER_15
transcript.pyannote[3517].start 21950.79471875
transcript.pyannote[3517].end 21973.71096875
transcript.pyannote[3518].speaker SPEAKER_15
transcript.pyannote[3518].start 21973.82909375
transcript.pyannote[3518].end 21994.87221875
transcript.pyannote[3519].speaker SPEAKER_15
transcript.pyannote[3519].start 21995.74971875
transcript.pyannote[3519].end 22000.98096875
transcript.pyannote[3520].speaker SPEAKER_15
transcript.pyannote[3520].start 22001.48721875
transcript.pyannote[3520].end 22003.37721875
transcript.pyannote[3521].speaker SPEAKER_15
transcript.pyannote[3521].start 22003.74846875
transcript.pyannote[3521].end 22021.77096875
transcript.pyannote[3522].speaker SPEAKER_15
transcript.pyannote[3522].start 22022.47971875
transcript.pyannote[3522].end 22022.81721875
transcript.pyannote[3523].speaker SPEAKER_15
transcript.pyannote[3523].start 22023.01971875
transcript.pyannote[3523].end 22024.36971875
transcript.pyannote[3524].speaker SPEAKER_15
transcript.pyannote[3524].start 22024.70721875
transcript.pyannote[3524].end 22026.14159375
transcript.pyannote[3525].speaker SPEAKER_15
transcript.pyannote[3525].start 22026.68159375
transcript.pyannote[3525].end 22028.26784375
transcript.pyannote[3526].speaker SPEAKER_15
transcript.pyannote[3526].start 22028.84159375
transcript.pyannote[3526].end 22029.17909375
transcript.pyannote[3527].speaker SPEAKER_15
transcript.pyannote[3527].start 22029.43221875
transcript.pyannote[3527].end 22032.89159375
transcript.pyannote[3528].speaker SPEAKER_15
transcript.pyannote[3528].start 22033.75221875
transcript.pyannote[3528].end 22044.02909375
transcript.pyannote[3529].speaker SPEAKER_15
transcript.pyannote[3529].start 22044.34971875
transcript.pyannote[3529].end 22055.04846875
transcript.pyannote[3530].speaker SPEAKER_15
transcript.pyannote[3530].start 22055.18346875
transcript.pyannote[3530].end 22058.05221875
transcript.pyannote[3531].speaker SPEAKER_15
transcript.pyannote[3531].start 22058.79471875
transcript.pyannote[3531].end 22059.26721875
transcript.pyannote[3532].speaker SPEAKER_15
transcript.pyannote[3532].start 22060.33034375
transcript.pyannote[3532].end 22060.81971875
transcript.pyannote[3533].speaker SPEAKER_47
transcript.pyannote[3533].start 22061.34284375
transcript.pyannote[3533].end 22065.94971875
transcript.pyannote[3534].speaker SPEAKER_47
transcript.pyannote[3534].start 22065.96659375
transcript.pyannote[3534].end 22066.00034375
transcript.pyannote[3535].speaker SPEAKER_14
transcript.pyannote[3535].start 22067.63721875
transcript.pyannote[3535].end 22297.54221875
transcript.pyannote[3536].speaker SPEAKER_14
transcript.pyannote[3536].start 22298.82471875
transcript.pyannote[3536].end 22301.71034375
transcript.pyannote[3537].speaker SPEAKER_42
transcript.pyannote[3537].start 22302.13221875
transcript.pyannote[3537].end 22302.28409375
transcript.pyannote[3538].speaker SPEAKER_47
transcript.pyannote[3538].start 22302.28409375
transcript.pyannote[3538].end 22335.40971875
transcript.pyannote[3539].speaker SPEAKER_14
transcript.pyannote[3539].start 22336.37159375
transcript.pyannote[3539].end 22336.40534375
transcript.pyannote[3540].speaker SPEAKER_42
transcript.pyannote[3540].start 22336.40534375
transcript.pyannote[3540].end 22336.43909375
transcript.pyannote[3541].speaker SPEAKER_14
transcript.pyannote[3541].start 22336.43909375
transcript.pyannote[3541].end 22336.65846875
transcript.pyannote[3542].speaker SPEAKER_42
transcript.pyannote[3542].start 22336.65846875
transcript.pyannote[3542].end 22336.67534375
transcript.pyannote[3543].speaker SPEAKER_14
transcript.pyannote[3543].start 22336.67534375
transcript.pyannote[3543].end 22336.70909375
transcript.pyannote[3544].speaker SPEAKER_47
transcript.pyannote[3544].start 22336.84409375
transcript.pyannote[3544].end 22341.95721875
transcript.pyannote[3545].speaker SPEAKER_42
transcript.pyannote[3545].start 22338.93659375
transcript.pyannote[3545].end 22338.95346875
transcript.pyannote[3546].speaker SPEAKER_14
transcript.pyannote[3546].start 22338.95346875
transcript.pyannote[3546].end 22340.53971875
transcript.pyannote[3547].speaker SPEAKER_42
transcript.pyannote[3547].start 22340.53971875
transcript.pyannote[3547].end 22341.19784375
transcript.pyannote[3548].speaker SPEAKER_14
transcript.pyannote[3548].start 22341.19784375
transcript.pyannote[3548].end 22343.27346875
transcript.pyannote[3549].speaker SPEAKER_47
transcript.pyannote[3549].start 22343.23971875
transcript.pyannote[3549].end 22344.97784375
transcript.pyannote[3550].speaker SPEAKER_14
transcript.pyannote[3550].start 22344.13409375
transcript.pyannote[3550].end 22347.64409375
transcript.pyannote[3551].speaker SPEAKER_47
transcript.pyannote[3551].start 22346.86784375
transcript.pyannote[3551].end 22365.46409375
transcript.pyannote[3552].speaker SPEAKER_47
transcript.pyannote[3552].start 22365.76784375
transcript.pyannote[3552].end 22368.09659375
transcript.pyannote[3553].speaker SPEAKER_47
transcript.pyannote[3553].start 22368.56909375
transcript.pyannote[3553].end 22370.15534375
transcript.pyannote[3554].speaker SPEAKER_47
transcript.pyannote[3554].start 22370.35784375
transcript.pyannote[3554].end 22373.15909375
transcript.pyannote[3555].speaker SPEAKER_47
transcript.pyannote[3555].start 22373.44596875
transcript.pyannote[3555].end 22375.75784375
transcript.pyannote[3556].speaker SPEAKER_14
transcript.pyannote[3556].start 22376.41596875
transcript.pyannote[3556].end 22386.59159375
transcript.pyannote[3557].speaker SPEAKER_47
transcript.pyannote[3557].start 22380.09471875
transcript.pyannote[3557].end 22381.69784375
transcript.pyannote[3558].speaker SPEAKER_42
transcript.pyannote[3558].start 22381.69784375
transcript.pyannote[3558].end 22381.74846875
transcript.pyannote[3559].speaker SPEAKER_14
transcript.pyannote[3559].start 22386.72659375
transcript.pyannote[3559].end 22386.76034375
transcript.pyannote[3560].speaker SPEAKER_42
transcript.pyannote[3560].start 22386.76034375
transcript.pyannote[3560].end 22387.41846875
transcript.pyannote[3561].speaker SPEAKER_14
transcript.pyannote[3561].start 22386.96284375
transcript.pyannote[3561].end 22390.18596875
transcript.pyannote[3562].speaker SPEAKER_42
transcript.pyannote[3562].start 22389.47721875
transcript.pyannote[3562].end 22390.05096875
transcript.pyannote[3563].speaker SPEAKER_42
transcript.pyannote[3563].start 22390.18596875
transcript.pyannote[3563].end 22390.59096875
transcript.pyannote[3564].speaker SPEAKER_14
transcript.pyannote[3564].start 22391.35034375
transcript.pyannote[3564].end 22391.68784375
transcript.pyannote[3565].speaker SPEAKER_32
transcript.pyannote[3565].start 22391.68784375
transcript.pyannote[3565].end 22392.04221875
transcript.pyannote[3566].speaker SPEAKER_42
transcript.pyannote[3566].start 22392.04221875
transcript.pyannote[3566].end 22392.31221875
transcript.pyannote[3567].speaker SPEAKER_32
transcript.pyannote[3567].start 22392.31221875
transcript.pyannote[3567].end 22392.32909375
transcript.pyannote[3568].speaker SPEAKER_42
transcript.pyannote[3568].start 22392.32909375
transcript.pyannote[3568].end 22393.27409375
transcript.pyannote[3569].speaker SPEAKER_32
transcript.pyannote[3569].start 22393.27409375
transcript.pyannote[3569].end 22401.03659375
transcript.pyannote[3570].speaker SPEAKER_47
transcript.pyannote[3570].start 22401.77909375
transcript.pyannote[3570].end 22405.67721875
transcript.pyannote[3571].speaker SPEAKER_32
transcript.pyannote[3571].start 22405.67721875
transcript.pyannote[3571].end 22405.74471875
transcript.pyannote[3572].speaker SPEAKER_32
transcript.pyannote[3572].start 22406.03159375
transcript.pyannote[3572].end 22407.58409375
transcript.pyannote[3573].speaker SPEAKER_47
transcript.pyannote[3573].start 22407.58409375
transcript.pyannote[3573].end 22412.54534375
transcript.pyannote[3574].speaker SPEAKER_32
transcript.pyannote[3574].start 22412.10659375
transcript.pyannote[3574].end 22415.83596875
transcript.pyannote[3575].speaker SPEAKER_32
transcript.pyannote[3575].start 22415.97096875
transcript.pyannote[3575].end 22416.03846875
transcript.pyannote[3576].speaker SPEAKER_32
transcript.pyannote[3576].start 22416.51096875
transcript.pyannote[3576].end 22419.68346875
transcript.pyannote[3577].speaker SPEAKER_47
transcript.pyannote[3577].start 22420.10534375
transcript.pyannote[3577].end 22422.51846875
transcript.pyannote[3578].speaker SPEAKER_47
transcript.pyannote[3578].start 22423.42971875
transcript.pyannote[3578].end 22425.03284375
transcript.pyannote[3579].speaker SPEAKER_14
transcript.pyannote[3579].start 22425.40409375
transcript.pyannote[3579].end 22429.57221875
transcript.pyannote[3580].speaker SPEAKER_47
transcript.pyannote[3580].start 22429.57221875
transcript.pyannote[3580].end 22432.25534375
transcript.pyannote[3581].speaker SPEAKER_14
transcript.pyannote[3581].start 22432.28909375
transcript.pyannote[3581].end 22432.82909375
transcript.pyannote[3582].speaker SPEAKER_14
transcript.pyannote[3582].start 22433.47034375
transcript.pyannote[3582].end 22435.46159375
transcript.pyannote[3583].speaker SPEAKER_14
transcript.pyannote[3583].start 22436.92971875
transcript.pyannote[3583].end 22437.19971875
transcript.pyannote[3584].speaker SPEAKER_14
transcript.pyannote[3584].start 22437.40221875
transcript.pyannote[3584].end 22443.89909375
transcript.pyannote[3585].speaker SPEAKER_47
transcript.pyannote[3585].start 22443.89909375
transcript.pyannote[3585].end 22450.96971875
transcript.pyannote[3586].speaker SPEAKER_14
transcript.pyannote[3586].start 22445.48534375
transcript.pyannote[3586].end 22447.49346875
transcript.pyannote[3587].speaker SPEAKER_14
transcript.pyannote[3587].start 22449.68721875
transcript.pyannote[3587].end 22450.12596875
transcript.pyannote[3588].speaker SPEAKER_14
transcript.pyannote[3588].start 22450.71659375
transcript.pyannote[3588].end 22462.64721875
transcript.pyannote[3589].speaker SPEAKER_47
transcript.pyannote[3589].start 22462.79909375
transcript.pyannote[3589].end 22465.83659375
transcript.pyannote[3590].speaker SPEAKER_14
transcript.pyannote[3590].start 22465.43159375
transcript.pyannote[3590].end 22465.78596875
transcript.pyannote[3591].speaker SPEAKER_14
transcript.pyannote[3591].start 22465.83659375
transcript.pyannote[3591].end 22470.81471875
transcript.pyannote[3592].speaker SPEAKER_47
transcript.pyannote[3592].start 22470.93284375
transcript.pyannote[3592].end 22475.28659375
transcript.pyannote[3593].speaker SPEAKER_14
transcript.pyannote[3593].start 22474.20659375
transcript.pyannote[3593].end 22474.59471875
transcript.pyannote[3594].speaker SPEAKER_14
transcript.pyannote[3594].start 22474.94909375
transcript.pyannote[3594].end 22478.12159375
transcript.pyannote[3595].speaker SPEAKER_47
transcript.pyannote[3595].start 22478.22284375
transcript.pyannote[3595].end 22481.22659375
transcript.pyannote[3596].speaker SPEAKER_14
transcript.pyannote[3596].start 22481.22659375
transcript.pyannote[3596].end 22492.16159375
transcript.pyannote[3597].speaker SPEAKER_47
transcript.pyannote[3597].start 22492.22909375
transcript.pyannote[3597].end 22496.09346875
transcript.pyannote[3598].speaker SPEAKER_14
transcript.pyannote[3598].start 22495.82346875
transcript.pyannote[3598].end 22497.15659375
transcript.pyannote[3599].speaker SPEAKER_47
transcript.pyannote[3599].start 22497.15659375
transcript.pyannote[3599].end 22498.86096875
transcript.pyannote[3600].speaker SPEAKER_14
transcript.pyannote[3600].start 22498.64159375
transcript.pyannote[3600].end 22499.58659375
transcript.pyannote[3601].speaker SPEAKER_47
transcript.pyannote[3601].start 22499.56971875
transcript.pyannote[3601].end 22500.58221875
transcript.pyannote[3602].speaker SPEAKER_14
transcript.pyannote[3602].start 22500.46409375
transcript.pyannote[3602].end 22501.32471875
transcript.pyannote[3603].speaker SPEAKER_47
transcript.pyannote[3603].start 22501.45971875
transcript.pyannote[3603].end 22502.42159375
transcript.pyannote[3604].speaker SPEAKER_14
transcript.pyannote[3604].start 22502.47221875
transcript.pyannote[3604].end 22508.19284375
transcript.pyannote[3605].speaker SPEAKER_47
transcript.pyannote[3605].start 22508.12534375
transcript.pyannote[3605].end 22510.65659375
transcript.pyannote[3606].speaker SPEAKER_14
transcript.pyannote[3606].start 22510.26846875
transcript.pyannote[3606].end 22511.09534375
transcript.pyannote[3607].speaker SPEAKER_47
transcript.pyannote[3607].start 22511.19659375
transcript.pyannote[3607].end 22512.19221875
transcript.pyannote[3608].speaker SPEAKER_14
transcript.pyannote[3608].start 22512.19221875
transcript.pyannote[3608].end 22513.10346875
transcript.pyannote[3609].speaker SPEAKER_47
transcript.pyannote[3609].start 22513.15409375
transcript.pyannote[3609].end 22514.13284375
transcript.pyannote[3610].speaker SPEAKER_14
transcript.pyannote[3610].start 22514.30159375
transcript.pyannote[3610].end 22514.97659375
transcript.pyannote[3611].speaker SPEAKER_14
transcript.pyannote[3611].start 22516.59659375
transcript.pyannote[3611].end 22517.74409375
transcript.pyannote[3612].speaker SPEAKER_14
transcript.pyannote[3612].start 22518.26721875
transcript.pyannote[3612].end 22533.18471875
transcript.pyannote[3613].speaker SPEAKER_47
transcript.pyannote[3613].start 22533.40409375
transcript.pyannote[3613].end 22538.60159375
transcript.pyannote[3614].speaker SPEAKER_14
transcript.pyannote[3614].start 22538.51721875
transcript.pyannote[3614].end 22539.49596875
transcript.pyannote[3615].speaker SPEAKER_47
transcript.pyannote[3615].start 22539.49596875
transcript.pyannote[3615].end 22540.98096875
transcript.pyannote[3616].speaker SPEAKER_14
transcript.pyannote[3616].start 22540.84596875
transcript.pyannote[3616].end 22545.43596875
transcript.pyannote[3617].speaker SPEAKER_47
transcript.pyannote[3617].start 22545.43596875
transcript.pyannote[3617].end 22547.95034375
transcript.pyannote[3618].speaker SPEAKER_14
transcript.pyannote[3618].start 22547.95034375
transcript.pyannote[3618].end 22556.48909375
transcript.pyannote[3619].speaker SPEAKER_47
transcript.pyannote[3619].start 22556.50596875
transcript.pyannote[3619].end 22558.66596875
transcript.pyannote[3620].speaker SPEAKER_14
transcript.pyannote[3620].start 22557.16409375
transcript.pyannote[3620].end 22557.45096875
transcript.pyannote[3621].speaker SPEAKER_14
transcript.pyannote[3621].start 22558.12596875
transcript.pyannote[3621].end 22561.61909375
transcript.pyannote[3622].speaker SPEAKER_14
transcript.pyannote[3622].start 22561.73721875
transcript.pyannote[3622].end 22561.82159375
transcript.pyannote[3623].speaker SPEAKER_42
transcript.pyannote[3623].start 22561.82159375
transcript.pyannote[3623].end 22562.04096875
transcript.pyannote[3624].speaker SPEAKER_47
transcript.pyannote[3624].start 22562.04096875
transcript.pyannote[3624].end 22565.60159375
transcript.pyannote[3625].speaker SPEAKER_42
transcript.pyannote[3625].start 22562.61471875
transcript.pyannote[3625].end 22563.55971875
transcript.pyannote[3626].speaker SPEAKER_14
transcript.pyannote[3626].start 22563.55971875
transcript.pyannote[3626].end 22563.79596875
transcript.pyannote[3627].speaker SPEAKER_14
transcript.pyannote[3627].start 22564.21784375
transcript.pyannote[3627].end 22565.63534375
transcript.pyannote[3628].speaker SPEAKER_14
transcript.pyannote[3628].start 22566.36096875
transcript.pyannote[3628].end 22569.01034375
transcript.pyannote[3629].speaker SPEAKER_47
transcript.pyannote[3629].start 22568.18346875
transcript.pyannote[3629].end 22568.84159375
transcript.pyannote[3630].speaker SPEAKER_47
transcript.pyannote[3630].start 22569.46596875
transcript.pyannote[3630].end 22570.81596875
transcript.pyannote[3631].speaker SPEAKER_14
transcript.pyannote[3631].start 22570.57971875
transcript.pyannote[3631].end 22570.84971875
transcript.pyannote[3632].speaker SPEAKER_14
transcript.pyannote[3632].start 22572.30096875
transcript.pyannote[3632].end 22577.76846875
transcript.pyannote[3633].speaker SPEAKER_47
transcript.pyannote[3633].start 22572.48659375
transcript.pyannote[3633].end 22574.61284375
transcript.pyannote[3634].speaker SPEAKER_47
transcript.pyannote[3634].start 22577.49846875
transcript.pyannote[3634].end 22580.46846875
transcript.pyannote[3635].speaker SPEAKER_14
transcript.pyannote[3635].start 22580.19846875
transcript.pyannote[3635].end 22583.50596875
transcript.pyannote[3636].speaker SPEAKER_47
transcript.pyannote[3636].start 22583.50596875
transcript.pyannote[3636].end 22586.29034375
transcript.pyannote[3637].speaker SPEAKER_14
transcript.pyannote[3637].start 22586.18909375
transcript.pyannote[3637].end 22587.15096875
transcript.pyannote[3638].speaker SPEAKER_47
transcript.pyannote[3638].start 22587.21846875
transcript.pyannote[3638].end 22588.18034375
transcript.pyannote[3639].speaker SPEAKER_14
transcript.pyannote[3639].start 22588.18034375
transcript.pyannote[3639].end 22589.04096875
transcript.pyannote[3640].speaker SPEAKER_47
transcript.pyannote[3640].start 22590.99846875
transcript.pyannote[3640].end 22591.97721875
transcript.pyannote[3641].speaker SPEAKER_14
transcript.pyannote[3641].start 22591.72409375
transcript.pyannote[3641].end 22592.63534375
transcript.pyannote[3642].speaker SPEAKER_47
transcript.pyannote[3642].start 22592.68596875
transcript.pyannote[3642].end 22593.44534375
transcript.pyannote[3643].speaker SPEAKER_14
transcript.pyannote[3643].start 22593.46221875
transcript.pyannote[3643].end 22594.35659375
transcript.pyannote[3644].speaker SPEAKER_47
transcript.pyannote[3644].start 22594.44096875
transcript.pyannote[3644].end 22595.36909375
transcript.pyannote[3645].speaker SPEAKER_14
transcript.pyannote[3645].start 22595.20034375
transcript.pyannote[3645].end 22596.09471875
transcript.pyannote[3646].speaker SPEAKER_47
transcript.pyannote[3646].start 22596.09471875
transcript.pyannote[3646].end 22597.00596875
transcript.pyannote[3647].speaker SPEAKER_14
transcript.pyannote[3647].start 22597.19159375
transcript.pyannote[3647].end 22600.12784375
transcript.pyannote[3648].speaker SPEAKER_14
transcript.pyannote[3648].start 22600.68471875
transcript.pyannote[3648].end 22602.67596875
transcript.pyannote[3649].speaker SPEAKER_14
transcript.pyannote[3649].start 22603.26659375
transcript.pyannote[3649].end 22606.70909375
transcript.pyannote[3650].speaker SPEAKER_47
transcript.pyannote[3650].start 22605.47721875
transcript.pyannote[3650].end 22608.36284375
transcript.pyannote[3651].speaker SPEAKER_47
transcript.pyannote[3651].start 22609.10534375
transcript.pyannote[3651].end 22609.86471875
transcript.pyannote[3652].speaker SPEAKER_14
transcript.pyannote[3652].start 22609.34159375
transcript.pyannote[3652].end 22610.87721875
transcript.pyannote[3653].speaker SPEAKER_47
transcript.pyannote[3653].start 22610.87721875
transcript.pyannote[3653].end 22611.68721875
transcript.pyannote[3654].speaker SPEAKER_14
transcript.pyannote[3654].start 22611.68721875
transcript.pyannote[3654].end 22612.61534375
transcript.pyannote[3655].speaker SPEAKER_47
transcript.pyannote[3655].start 22612.81784375
transcript.pyannote[3655].end 22613.76284375
transcript.pyannote[3656].speaker SPEAKER_14
transcript.pyannote[3656].start 22613.57721875
transcript.pyannote[3656].end 22614.38721875
transcript.pyannote[3657].speaker SPEAKER_47
transcript.pyannote[3657].start 22614.47159375
transcript.pyannote[3657].end 22615.19721875
transcript.pyannote[3658].speaker SPEAKER_14
transcript.pyannote[3658].start 22615.04534375
transcript.pyannote[3658].end 22616.07471875
transcript.pyannote[3659].speaker SPEAKER_47
transcript.pyannote[3659].start 22616.07471875
transcript.pyannote[3659].end 22617.00284375
transcript.pyannote[3660].speaker SPEAKER_14
transcript.pyannote[3660].start 22616.83409375
transcript.pyannote[3660].end 22619.82096875
transcript.pyannote[3661].speaker SPEAKER_14
transcript.pyannote[3661].start 22620.10784375
transcript.pyannote[3661].end 22630.01346875
transcript.pyannote[3662].speaker SPEAKER_47
transcript.pyannote[3662].start 22630.30034375
transcript.pyannote[3662].end 22633.94534375
transcript.pyannote[3663].speaker SPEAKER_14
transcript.pyannote[3663].start 22631.54909375
transcript.pyannote[3663].end 22632.64596875
transcript.pyannote[3664].speaker SPEAKER_47
transcript.pyannote[3664].start 22636.30784375
transcript.pyannote[3664].end 22643.90159375
transcript.pyannote[3665].speaker SPEAKER_47
transcript.pyannote[3665].start 22647.15846875
transcript.pyannote[3665].end 22651.05659375
transcript.pyannote[3666].speaker SPEAKER_47
transcript.pyannote[3666].start 22651.73159375
transcript.pyannote[3666].end 22656.60846875
transcript.pyannote[3667].speaker SPEAKER_47
transcript.pyannote[3667].start 22657.67159375
transcript.pyannote[3667].end 22658.48159375
transcript.pyannote[3668].speaker SPEAKER_40
transcript.pyannote[3668].start 22667.96534375
transcript.pyannote[3668].end 22668.01596875
transcript.pyannote[3669].speaker SPEAKER_32
transcript.pyannote[3669].start 22669.97346875
transcript.pyannote[3669].end 22670.88471875
transcript.pyannote[3670].speaker SPEAKER_33
transcript.pyannote[3670].start 22672.28534375
transcript.pyannote[3670].end 22673.73659375
transcript.pyannote[3671].speaker SPEAKER_32
transcript.pyannote[3671].start 22674.34409375
transcript.pyannote[3671].end 22677.29721875
transcript.pyannote[3672].speaker SPEAKER_33
transcript.pyannote[3672].start 22674.74909375
transcript.pyannote[3672].end 22677.53346875
transcript.pyannote[3673].speaker SPEAKER_32
transcript.pyannote[3673].start 22677.73596875
transcript.pyannote[3673].end 22679.40659375
transcript.pyannote[3674].speaker SPEAKER_33
transcript.pyannote[3674].start 22679.20409375
transcript.pyannote[3674].end 22681.44846875
transcript.pyannote[3675].speaker SPEAKER_32
transcript.pyannote[3675].start 22680.55409375
transcript.pyannote[3675].end 22683.55784375
transcript.pyannote[3676].speaker SPEAKER_33
transcript.pyannote[3676].start 22682.29221875
transcript.pyannote[3676].end 22692.78846875
transcript.pyannote[3677].speaker SPEAKER_42
transcript.pyannote[3677].start 22683.55784375
transcript.pyannote[3677].end 22683.99659375
transcript.pyannote[3678].speaker SPEAKER_42
transcript.pyannote[3678].start 22685.02596875
transcript.pyannote[3678].end 22686.52784375
transcript.pyannote[3679].speaker SPEAKER_40
transcript.pyannote[3679].start 22692.78846875
transcript.pyannote[3679].end 22693.86846875
transcript.pyannote[3680].speaker SPEAKER_42
transcript.pyannote[3680].start 22693.86846875
transcript.pyannote[3680].end 22694.03721875
transcript.pyannote[3681].speaker SPEAKER_33
transcript.pyannote[3681].start 22695.18471875
transcript.pyannote[3681].end 22695.28596875
transcript.pyannote[3682].speaker SPEAKER_31
transcript.pyannote[3682].start 22695.28596875
transcript.pyannote[3682].end 22695.30284375
transcript.pyannote[3683].speaker SPEAKER_33
transcript.pyannote[3683].start 22695.30284375
transcript.pyannote[3683].end 22695.47159375
transcript.pyannote[3684].speaker SPEAKER_31
transcript.pyannote[3684].start 22695.31971875
transcript.pyannote[3684].end 22696.77096875
transcript.pyannote[3685].speaker SPEAKER_40
transcript.pyannote[3685].start 22695.47159375
transcript.pyannote[3685].end 22695.79221875
transcript.pyannote[3686].speaker SPEAKER_33
transcript.pyannote[3686].start 22695.79221875
transcript.pyannote[3686].end 22696.53471875
transcript.pyannote[3687].speaker SPEAKER_40
transcript.pyannote[3687].start 22696.77096875
transcript.pyannote[3687].end 22696.78784375
transcript.pyannote[3688].speaker SPEAKER_33
transcript.pyannote[3688].start 22696.78784375
transcript.pyannote[3688].end 22696.97346875
transcript.pyannote[3689].speaker SPEAKER_31
transcript.pyannote[3689].start 22696.97346875
transcript.pyannote[3689].end 22701.90096875
transcript.pyannote[3690].speaker SPEAKER_42
transcript.pyannote[3690].start 22699.69034375
transcript.pyannote[3690].end 22699.94346875
transcript.pyannote[3691].speaker SPEAKER_32
transcript.pyannote[3691].start 22701.44534375
transcript.pyannote[3691].end 22701.74909375
transcript.pyannote[3692].speaker SPEAKER_32
transcript.pyannote[3692].start 22701.90096875
transcript.pyannote[3692].end 22701.98534375
transcript.pyannote[3693].speaker SPEAKER_42
transcript.pyannote[3693].start 22701.98534375
transcript.pyannote[3693].end 22702.03596875
transcript.pyannote[3694].speaker SPEAKER_32
transcript.pyannote[3694].start 22702.03596875
transcript.pyannote[3694].end 22702.05284375
transcript.pyannote[3695].speaker SPEAKER_42
transcript.pyannote[3695].start 22702.05284375
transcript.pyannote[3695].end 22702.33971875
transcript.pyannote[3696].speaker SPEAKER_32
transcript.pyannote[3696].start 22702.33971875
transcript.pyannote[3696].end 22702.57596875
transcript.pyannote[3697].speaker SPEAKER_42
transcript.pyannote[3697].start 22702.57596875
transcript.pyannote[3697].end 22702.60971875
transcript.pyannote[3698].speaker SPEAKER_32
transcript.pyannote[3698].start 22702.60971875
transcript.pyannote[3698].end 22702.96409375
transcript.pyannote[3699].speaker SPEAKER_31
transcript.pyannote[3699].start 22702.96409375
transcript.pyannote[3699].end 22710.96284375
transcript.pyannote[3700].speaker SPEAKER_32
transcript.pyannote[3700].start 22705.59659375
transcript.pyannote[3700].end 22705.73159375
transcript.pyannote[3701].speaker SPEAKER_33
transcript.pyannote[3701].start 22708.09409375
transcript.pyannote[3701].end 22712.02596875
transcript.pyannote[3702].speaker SPEAKER_42
transcript.pyannote[3702].start 22710.96284375
transcript.pyannote[3702].end 22716.48096875
transcript.pyannote[3703].speaker SPEAKER_33
transcript.pyannote[3703].start 22712.04284375
transcript.pyannote[3703].end 22713.17346875
transcript.pyannote[3704].speaker SPEAKER_40
transcript.pyannote[3704].start 22719.07971875
transcript.pyannote[3704].end 22719.09659375
transcript.pyannote[3705].speaker SPEAKER_40
transcript.pyannote[3705].start 22719.11346875
transcript.pyannote[3705].end 22723.56846875
transcript.pyannote[3706].speaker SPEAKER_40
transcript.pyannote[3706].start 22728.37784375
transcript.pyannote[3706].end 22729.17096875
transcript.pyannote[3707].speaker SPEAKER_42
transcript.pyannote[3707].start 22729.74471875
transcript.pyannote[3707].end 22729.77846875
transcript.pyannote[3708].speaker SPEAKER_40
transcript.pyannote[3708].start 22729.77846875
transcript.pyannote[3708].end 22729.89659375
transcript.pyannote[3709].speaker SPEAKER_42
transcript.pyannote[3709].start 22732.30971875
transcript.pyannote[3709].end 22733.86221875
transcript.pyannote[3710].speaker SPEAKER_40
transcript.pyannote[3710].start 22733.01846875
transcript.pyannote[3710].end 22733.59221875
transcript.pyannote[3711].speaker SPEAKER_04
transcript.pyannote[3711].start 22736.15721875
transcript.pyannote[3711].end 22736.74784375
transcript.pyannote[3712].speaker SPEAKER_33
transcript.pyannote[3712].start 22736.74784375
transcript.pyannote[3712].end 22736.76471875
transcript.pyannote[3713].speaker SPEAKER_04
transcript.pyannote[3713].start 22736.76471875
transcript.pyannote[3713].end 22737.03471875
transcript.pyannote[3714].speaker SPEAKER_33
transcript.pyannote[3714].start 22737.03471875
transcript.pyannote[3714].end 22737.99659375
transcript.pyannote[3715].speaker SPEAKER_33
transcript.pyannote[3715].start 22740.96659375
transcript.pyannote[3715].end 22746.97409375
transcript.pyannote[3716].speaker SPEAKER_40
transcript.pyannote[3716].start 22744.57784375
transcript.pyannote[3716].end 22744.74659375
transcript.pyannote[3717].speaker SPEAKER_42
transcript.pyannote[3717].start 22744.74659375
transcript.pyannote[3717].end 22744.78034375
transcript.pyannote[3718].speaker SPEAKER_40
transcript.pyannote[3718].start 22744.78034375
transcript.pyannote[3718].end 22745.03346875
transcript.pyannote[3719].speaker SPEAKER_40
transcript.pyannote[3719].start 22746.97409375
transcript.pyannote[3719].end 22752.01971875
transcript.pyannote[3720].speaker SPEAKER_33
transcript.pyannote[3720].start 22747.29471875
transcript.pyannote[3720].end 22748.25659375
transcript.pyannote[3721].speaker SPEAKER_40
transcript.pyannote[3721].start 22752.67784375
transcript.pyannote[3721].end 22756.37346875
transcript.pyannote[3722].speaker SPEAKER_44
transcript.pyannote[3722].start 22753.20096875
transcript.pyannote[3722].end 22753.26846875
transcript.pyannote[3723].speaker SPEAKER_44
transcript.pyannote[3723].start 22755.22596875
transcript.pyannote[3723].end 22763.54534375
transcript.pyannote[3724].speaker SPEAKER_40
transcript.pyannote[3724].start 22757.35221875
transcript.pyannote[3724].end 22758.97221875
transcript.pyannote[3725].speaker SPEAKER_33
transcript.pyannote[3725].start 22758.97221875
transcript.pyannote[3725].end 22760.20409375
transcript.pyannote[3726].speaker SPEAKER_32
transcript.pyannote[3726].start 22761.48659375
transcript.pyannote[3726].end 22763.25846875
transcript.pyannote[3727].speaker SPEAKER_33
transcript.pyannote[3727].start 22763.54534375
transcript.pyannote[3727].end 22770.93659375
transcript.pyannote[3728].speaker SPEAKER_42
transcript.pyannote[3728].start 22769.58659375
transcript.pyannote[3728].end 22770.59909375
transcript.pyannote[3729].speaker SPEAKER_42
transcript.pyannote[3729].start 22770.93659375
transcript.pyannote[3729].end 22779.03659375
transcript.pyannote[3730].speaker SPEAKER_33
transcript.pyannote[3730].start 22772.59034375
transcript.pyannote[3730].end 22774.96971875
transcript.pyannote[3731].speaker SPEAKER_32
transcript.pyannote[3731].start 22774.96971875
transcript.pyannote[3731].end 22775.00346875
transcript.pyannote[3732].speaker SPEAKER_33
transcript.pyannote[3732].start 22775.00346875
transcript.pyannote[3732].end 22775.03721875
transcript.pyannote[3733].speaker SPEAKER_32
transcript.pyannote[3733].start 22775.03721875
transcript.pyannote[3733].end 22777.82159375
transcript.pyannote[3734].speaker SPEAKER_19
transcript.pyannote[3734].start 22777.82159375
transcript.pyannote[3734].end 22777.87221875
transcript.pyannote[3735].speaker SPEAKER_32
transcript.pyannote[3735].start 22777.87221875
transcript.pyannote[3735].end 22777.99034375
transcript.pyannote[3736].speaker SPEAKER_19
transcript.pyannote[3736].start 22777.99034375
transcript.pyannote[3736].end 22778.00721875
transcript.pyannote[3737].speaker SPEAKER_32
transcript.pyannote[3737].start 22778.00721875
transcript.pyannote[3737].end 22778.02409375
transcript.pyannote[3738].speaker SPEAKER_19
transcript.pyannote[3738].start 22778.02409375
transcript.pyannote[3738].end 22778.05784375
transcript.pyannote[3739].speaker SPEAKER_19
transcript.pyannote[3739].start 22778.96909375
transcript.pyannote[3739].end 22779.40784375
transcript.pyannote[3740].speaker SPEAKER_32
transcript.pyannote[3740].start 22779.03659375
transcript.pyannote[3740].end 22779.27284375
transcript.pyannote[3741].speaker SPEAKER_42
transcript.pyannote[3741].start 22779.32346875
transcript.pyannote[3741].end 22779.39096875
transcript.pyannote[3742].speaker SPEAKER_42
transcript.pyannote[3742].start 22779.40784375
transcript.pyannote[3742].end 22779.62721875
transcript.pyannote[3743].speaker SPEAKER_19
transcript.pyannote[3743].start 22779.42471875
transcript.pyannote[3743].end 22779.47534375
transcript.pyannote[3744].speaker SPEAKER_19
transcript.pyannote[3744].start 22779.52596875
transcript.pyannote[3744].end 22779.54284375
transcript.pyannote[3745].speaker SPEAKER_32
transcript.pyannote[3745].start 22779.54284375
transcript.pyannote[3745].end 22779.55971875
transcript.pyannote[3746].speaker SPEAKER_19
transcript.pyannote[3746].start 22779.55971875
transcript.pyannote[3746].end 22779.57659375
transcript.pyannote[3747].speaker SPEAKER_19
transcript.pyannote[3747].start 22779.62721875
transcript.pyannote[3747].end 22779.77909375
transcript.pyannote[3748].speaker SPEAKER_42
transcript.pyannote[3748].start 22779.77909375
transcript.pyannote[3748].end 22779.82971875
transcript.pyannote[3749].speaker SPEAKER_19
transcript.pyannote[3749].start 22780.31909375
transcript.pyannote[3749].end 22787.52471875
transcript.pyannote[3750].speaker SPEAKER_45
transcript.pyannote[3750].start 22783.01909375
transcript.pyannote[3750].end 22784.18346875
transcript.pyannote[3751].speaker SPEAKER_40
transcript.pyannote[3751].start 22784.18346875
transcript.pyannote[3751].end 22784.50409375
transcript.pyannote[3752].speaker SPEAKER_45
transcript.pyannote[3752].start 22784.50409375
transcript.pyannote[3752].end 22784.72346875
transcript.pyannote[3753].speaker SPEAKER_40
transcript.pyannote[3753].start 22784.72346875
transcript.pyannote[3753].end 22784.85846875
transcript.pyannote[3754].speaker SPEAKER_40
transcript.pyannote[3754].start 22785.49971875
transcript.pyannote[3754].end 22785.51659375
transcript.pyannote[3755].speaker SPEAKER_42
transcript.pyannote[3755].start 22785.51659375
transcript.pyannote[3755].end 22785.60096875
transcript.pyannote[3756].speaker SPEAKER_40
transcript.pyannote[3756].start 22785.60096875
transcript.pyannote[3756].end 22786.02284375
transcript.pyannote[3757].speaker SPEAKER_33
transcript.pyannote[3757].start 22786.02284375
transcript.pyannote[3757].end 22788.82409375
transcript.pyannote[3758].speaker SPEAKER_19
transcript.pyannote[3758].start 22788.30096875
transcript.pyannote[3758].end 22788.97596875
transcript.pyannote[3759].speaker SPEAKER_40
transcript.pyannote[3759].start 22788.97596875
transcript.pyannote[3759].end 22791.00096875
transcript.pyannote[3760].speaker SPEAKER_33
transcript.pyannote[3760].start 22789.12784375
transcript.pyannote[3760].end 22812.01034375
transcript.pyannote[3761].speaker SPEAKER_13
transcript.pyannote[3761].start 22791.00096875
transcript.pyannote[3761].end 22791.10221875
transcript.pyannote[3762].speaker SPEAKER_40
transcript.pyannote[3762].start 22795.75971875
transcript.pyannote[3762].end 22795.77659375
transcript.pyannote[3763].speaker SPEAKER_13
transcript.pyannote[3763].start 22795.77659375
transcript.pyannote[3763].end 22796.06346875
transcript.pyannote[3764].speaker SPEAKER_40
transcript.pyannote[3764].start 22796.06346875
transcript.pyannote[3764].end 22796.28284375
transcript.pyannote[3765].speaker SPEAKER_40
transcript.pyannote[3765].start 22796.53596875
transcript.pyannote[3765].end 22796.55284375
transcript.pyannote[3766].speaker SPEAKER_13
transcript.pyannote[3766].start 22796.55284375
transcript.pyannote[3766].end 22796.95784375
transcript.pyannote[3767].speaker SPEAKER_42
transcript.pyannote[3767].start 22796.95784375
transcript.pyannote[3767].end 22796.99159375
transcript.pyannote[3768].speaker SPEAKER_40
transcript.pyannote[3768].start 22796.99159375
transcript.pyannote[3768].end 22797.12659375
transcript.pyannote[3769].speaker SPEAKER_42
transcript.pyannote[3769].start 22800.04596875
transcript.pyannote[3769].end 22801.34534375
transcript.pyannote[3770].speaker SPEAKER_42
transcript.pyannote[3770].start 22802.57721875
transcript.pyannote[3770].end 22802.99909375
transcript.pyannote[3771].speaker SPEAKER_42
transcript.pyannote[3771].start 22803.37034375
transcript.pyannote[3771].end 22804.02846875
transcript.pyannote[3772].speaker SPEAKER_00
transcript.pyannote[3772].start 22804.02846875
transcript.pyannote[3772].end 22805.74971875
transcript.pyannote[3773].speaker SPEAKER_42
transcript.pyannote[3773].start 22805.74971875
transcript.pyannote[3773].end 22805.88471875
transcript.pyannote[3774].speaker SPEAKER_00
transcript.pyannote[3774].start 22812.56721875
transcript.pyannote[3774].end 22813.96784375
transcript.pyannote[3775].speaker SPEAKER_33
transcript.pyannote[3775].start 22813.22534375
transcript.pyannote[3775].end 22814.91284375
transcript.pyannote[3776].speaker SPEAKER_00
transcript.pyannote[3776].start 22814.91284375
transcript.pyannote[3776].end 22816.33034375
transcript.pyannote[3777].speaker SPEAKER_33
transcript.pyannote[3777].start 22815.14909375
transcript.pyannote[3777].end 22815.21659375
transcript.pyannote[3778].speaker SPEAKER_08
transcript.pyannote[3778].start 22815.21659375
transcript.pyannote[3778].end 22815.46971875
transcript.pyannote[3779].speaker SPEAKER_33
transcript.pyannote[3779].start 22815.46971875
transcript.pyannote[3779].end 22815.50346875
transcript.pyannote[3780].speaker SPEAKER_33
transcript.pyannote[3780].start 22816.31346875
transcript.pyannote[3780].end 22824.93659375
transcript.pyannote[3781].speaker SPEAKER_00
transcript.pyannote[3781].start 22818.96284375
transcript.pyannote[3781].end 22820.19471875
transcript.pyannote[3782].speaker SPEAKER_19
transcript.pyannote[3782].start 22824.91971875
transcript.pyannote[3782].end 22832.74971875
transcript.pyannote[3783].speaker SPEAKER_33
transcript.pyannote[3783].start 22828.68284375
transcript.pyannote[3783].end 22831.97346875
transcript.pyannote[3784].speaker SPEAKER_32
transcript.pyannote[3784].start 22831.97346875
transcript.pyannote[3784].end 22834.60596875
transcript.pyannote[3785].speaker SPEAKER_13
transcript.pyannote[3785].start 22832.74971875
transcript.pyannote[3785].end 22834.03221875
transcript.pyannote[3786].speaker SPEAKER_33
transcript.pyannote[3786].start 22834.03221875
transcript.pyannote[3786].end 22835.02784375
transcript.pyannote[3787].speaker SPEAKER_13
transcript.pyannote[3787].start 22834.60596875
transcript.pyannote[3787].end 22834.67346875
transcript.pyannote[3788].speaker SPEAKER_13
transcript.pyannote[3788].start 22835.02784375
transcript.pyannote[3788].end 22836.88409375
transcript.pyannote[3789].speaker SPEAKER_13
transcript.pyannote[3789].start 22837.50846875
transcript.pyannote[3789].end 22839.97221875
transcript.pyannote[3790].speaker SPEAKER_33
transcript.pyannote[3790].start 22839.21284375
transcript.pyannote[3790].end 22839.82034375
transcript.pyannote[3791].speaker SPEAKER_33
transcript.pyannote[3791].start 22839.97221875
transcript.pyannote[3791].end 22845.50721875
transcript.pyannote[3792].speaker SPEAKER_42
transcript.pyannote[3792].start 22842.60471875
transcript.pyannote[3792].end 22843.75221875
transcript.pyannote[3793].speaker SPEAKER_00
transcript.pyannote[3793].start 22843.75221875
transcript.pyannote[3793].end 22843.76909375
transcript.pyannote[3794].speaker SPEAKER_42
transcript.pyannote[3794].start 22843.76909375
transcript.pyannote[3794].end 22843.80284375
transcript.pyannote[3795].speaker SPEAKER_00
transcript.pyannote[3795].start 22843.80284375
transcript.pyannote[3795].end 22843.97159375
transcript.pyannote[3796].speaker SPEAKER_00
transcript.pyannote[3796].start 22844.66346875
transcript.pyannote[3796].end 22844.68034375
transcript.pyannote[3797].speaker SPEAKER_42
transcript.pyannote[3797].start 22844.68034375
transcript.pyannote[3797].end 22844.81534375
transcript.pyannote[3798].speaker SPEAKER_00
transcript.pyannote[3798].start 22844.81534375
transcript.pyannote[3798].end 22844.83221875
transcript.pyannote[3799].speaker SPEAKER_00
transcript.pyannote[3799].start 22845.40596875
transcript.pyannote[3799].end 22846.72221875
transcript.pyannote[3800].speaker SPEAKER_33
transcript.pyannote[3800].start 22845.69284375
transcript.pyannote[3800].end 22846.73909375
transcript.pyannote[3801].speaker SPEAKER_00
transcript.pyannote[3801].start 22846.73909375
transcript.pyannote[3801].end 22854.16409375
transcript.pyannote[3802].speaker SPEAKER_33
transcript.pyannote[3802].start 22848.34221875
transcript.pyannote[3802].end 22849.25346875
transcript.pyannote[3803].speaker SPEAKER_42
transcript.pyannote[3803].start 22854.16409375
transcript.pyannote[3803].end 22854.18096875
transcript.pyannote[3804].speaker SPEAKER_00
transcript.pyannote[3804].start 22854.18096875
transcript.pyannote[3804].end 22854.28221875
transcript.pyannote[3805].speaker SPEAKER_01
transcript.pyannote[3805].start 22854.18096875
transcript.pyannote[3805].end 22855.22721875
transcript.pyannote[3806].speaker SPEAKER_42
transcript.pyannote[3806].start 22854.28221875
transcript.pyannote[3806].end 22855.64909375
transcript.pyannote[3807].speaker SPEAKER_19
transcript.pyannote[3807].start 22856.81346875
transcript.pyannote[3807].end 22859.00721875
transcript.pyannote[3808].speaker SPEAKER_19
transcript.pyannote[3808].start 22859.69909375
transcript.pyannote[3808].end 22859.86784375
transcript.pyannote[3809].speaker SPEAKER_19
transcript.pyannote[3809].start 22859.91846875
transcript.pyannote[3809].end 22867.57971875
transcript.pyannote[3810].speaker SPEAKER_01
transcript.pyannote[3810].start 22862.43284375
transcript.pyannote[3810].end 22862.68596875
transcript.pyannote[3811].speaker SPEAKER_42
transcript.pyannote[3811].start 22862.68596875
transcript.pyannote[3811].end 22862.77034375
transcript.pyannote[3812].speaker SPEAKER_01
transcript.pyannote[3812].start 22862.77034375
transcript.pyannote[3812].end 22862.80409375
transcript.pyannote[3813].speaker SPEAKER_42
transcript.pyannote[3813].start 22862.80409375
transcript.pyannote[3813].end 22862.87159375
transcript.pyannote[3814].speaker SPEAKER_01
transcript.pyannote[3814].start 22862.87159375
transcript.pyannote[3814].end 22862.92221875
transcript.pyannote[3815].speaker SPEAKER_01
transcript.pyannote[3815].start 22868.05221875
transcript.pyannote[3815].end 22871.54534375
transcript.pyannote[3816].speaker SPEAKER_01
transcript.pyannote[3816].start 22871.83221875
transcript.pyannote[3816].end 22874.95409375
transcript.pyannote[3817].speaker SPEAKER_00
transcript.pyannote[3817].start 22871.93346875
transcript.pyannote[3817].end 22881.09659375
transcript.pyannote[3818].speaker SPEAKER_42
transcript.pyannote[3818].start 22880.15159375
transcript.pyannote[3818].end 22880.18534375
transcript.pyannote[3819].speaker SPEAKER_39
transcript.pyannote[3819].start 22880.18534375
transcript.pyannote[3819].end 22889.55096875
transcript.pyannote[3820].speaker SPEAKER_00
transcript.pyannote[3820].start 22882.12596875
transcript.pyannote[3820].end 22883.77971875
transcript.pyannote[3821].speaker SPEAKER_40
transcript.pyannote[3821].start 22884.87659375
transcript.pyannote[3821].end 22884.92721875
transcript.pyannote[3822].speaker SPEAKER_42
transcript.pyannote[3822].start 22884.92721875
transcript.pyannote[3822].end 22889.02784375
transcript.pyannote[3823].speaker SPEAKER_42
transcript.pyannote[3823].start 22889.55096875
transcript.pyannote[3823].end 22896.03096875
transcript.pyannote[3824].speaker SPEAKER_47
transcript.pyannote[3824].start 22908.65346875
transcript.pyannote[3824].end 22910.56034375
transcript.pyannote[3825].speaker SPEAKER_01
transcript.pyannote[3825].start 22911.01596875
transcript.pyannote[3825].end 22911.03284375
transcript.pyannote[3826].speaker SPEAKER_47
transcript.pyannote[3826].start 22913.88471875
transcript.pyannote[3826].end 22918.64346875
transcript.pyannote[3827].speaker SPEAKER_47
transcript.pyannote[3827].start 22918.67721875
transcript.pyannote[3827].end 22929.51096875
transcript.pyannote[3828].speaker SPEAKER_47
transcript.pyannote[3828].start 22931.14784375
transcript.pyannote[3828].end 22931.82284375
transcript.pyannote[3829].speaker SPEAKER_47
transcript.pyannote[3829].start 22932.71721875
transcript.pyannote[3829].end 22934.38784375
transcript.pyannote[3830].speaker SPEAKER_15
transcript.pyannote[3830].start 22934.64096875
transcript.pyannote[3830].end 22935.65346875
transcript.pyannote[3831].speaker SPEAKER_15
transcript.pyannote[3831].start 22935.77159375
transcript.pyannote[3831].end 22946.80784375
transcript.pyannote[3832].speaker SPEAKER_15
transcript.pyannote[3832].start 22948.20846875
transcript.pyannote[3832].end 22960.07159375
transcript.pyannote[3833].speaker SPEAKER_16
transcript.pyannote[3833].start 22955.90346875
transcript.pyannote[3833].end 22957.23659375
transcript.pyannote[3834].speaker SPEAKER_16
transcript.pyannote[3834].start 22958.35034375
transcript.pyannote[3834].end 22970.63534375
transcript.pyannote[3835].speaker SPEAKER_15
transcript.pyannote[3835].start 22970.06159375
transcript.pyannote[3835].end 22974.19596875
transcript.pyannote[3836].speaker SPEAKER_16
transcript.pyannote[3836].start 22971.04034375
transcript.pyannote[3836].end 22971.46221875
transcript.pyannote[3837].speaker SPEAKER_47
transcript.pyannote[3837].start 22974.87096875
transcript.pyannote[3837].end 22979.14034375
transcript.pyannote[3838].speaker SPEAKER_16
transcript.pyannote[3838].start 22979.14034375
transcript.pyannote[3838].end 22980.42284375
transcript.pyannote[3839].speaker SPEAKER_47
transcript.pyannote[3839].start 22980.42284375
transcript.pyannote[3839].end 22987.51034375
transcript.pyannote[3840].speaker SPEAKER_47
transcript.pyannote[3840].start 22987.83096875
transcript.pyannote[3840].end 22992.16784375
transcript.pyannote[3841].speaker SPEAKER_47
transcript.pyannote[3841].start 22992.28596875
transcript.pyannote[3841].end 22996.21784375
transcript.pyannote[3842].speaker SPEAKER_30
transcript.pyannote[3842].start 22996.26846875
transcript.pyannote[3842].end 23004.52034375
transcript.pyannote[3843].speaker SPEAKER_30
transcript.pyannote[3843].start 23004.75659375
transcript.pyannote[3843].end 23025.05721875
transcript.pyannote[3844].speaker SPEAKER_30
transcript.pyannote[3844].start 23026.00221875
transcript.pyannote[3844].end 23035.35096875
transcript.pyannote[3845].speaker SPEAKER_47
transcript.pyannote[3845].start 23037.35909375
transcript.pyannote[3845].end 23040.02534375
transcript.pyannote[3846].speaker SPEAKER_32
transcript.pyannote[3846].start 23042.11784375
transcript.pyannote[3846].end 23046.08346875
transcript.pyannote[3847].speaker SPEAKER_21
transcript.pyannote[3847].start 23047.07909375
transcript.pyannote[3847].end 23068.81409375
transcript.pyannote[3848].speaker SPEAKER_47
transcript.pyannote[3848].start 23069.94471875
transcript.pyannote[3848].end 23074.38284375
transcript.pyannote[3849].speaker SPEAKER_16
transcript.pyannote[3849].start 23074.45034375
transcript.pyannote[3849].end 23076.15471875
transcript.pyannote[3850].speaker SPEAKER_47
transcript.pyannote[3850].start 23074.95659375
transcript.pyannote[3850].end 23075.86784375
transcript.pyannote[3851].speaker SPEAKER_47
transcript.pyannote[3851].start 23076.15471875
transcript.pyannote[3851].end 23077.42034375
transcript.pyannote[3852].speaker SPEAKER_16
transcript.pyannote[3852].start 23077.01534375
transcript.pyannote[3852].end 23079.52971875
transcript.pyannote[3853].speaker SPEAKER_47
transcript.pyannote[3853].start 23079.51284375
transcript.pyannote[3853].end 23081.43659375
transcript.pyannote[3854].speaker SPEAKER_16
transcript.pyannote[3854].start 23081.21721875
transcript.pyannote[3854].end 23081.53784375
transcript.pyannote[3855].speaker SPEAKER_47
transcript.pyannote[3855].start 23081.53784375
transcript.pyannote[3855].end 23081.57159375
transcript.pyannote[3856].speaker SPEAKER_47
transcript.pyannote[3856].start 23081.74034375
transcript.pyannote[3856].end 23082.28034375
transcript.pyannote[3857].speaker SPEAKER_47
transcript.pyannote[3857].start 23082.61784375
transcript.pyannote[3857].end 23086.06034375
transcript.pyannote[3858].speaker SPEAKER_47
transcript.pyannote[3858].start 23087.52846875
transcript.pyannote[3858].end 23093.19846875
transcript.pyannote[3859].speaker SPEAKER_47
transcript.pyannote[3859].start 23095.30784375
transcript.pyannote[3859].end 23096.08409375
transcript.pyannote[3860].speaker SPEAKER_16
transcript.pyannote[3860].start 23095.44284375
transcript.pyannote[3860].end 23099.32409375
transcript.pyannote[3861].speaker SPEAKER_16
transcript.pyannote[3861].start 23100.10034375
transcript.pyannote[3861].end 23101.43346875
transcript.pyannote[3862].speaker SPEAKER_47
transcript.pyannote[3862].start 23102.05784375
transcript.pyannote[3862].end 23111.74409375
transcript.pyannote[3863].speaker SPEAKER_47
transcript.pyannote[3863].start 23111.96346875
transcript.pyannote[3863].end 23119.81034375
transcript.pyannote[3864].speaker SPEAKER_42
transcript.pyannote[3864].start 23119.64159375
transcript.pyannote[3864].end 23119.69221875
transcript.pyannote[3865].speaker SPEAKER_42
transcript.pyannote[3865].start 23119.70909375
transcript.pyannote[3865].end 23119.75971875
transcript.pyannote[3866].speaker SPEAKER_42
transcript.pyannote[3866].start 23119.81034375
transcript.pyannote[3866].end 23119.96221875
transcript.pyannote[3867].speaker SPEAKER_47
transcript.pyannote[3867].start 23119.96221875
transcript.pyannote[3867].end 23119.97909375
transcript.pyannote[3868].speaker SPEAKER_42
transcript.pyannote[3868].start 23119.97909375
transcript.pyannote[3868].end 23120.08034375
transcript.pyannote[3869].speaker SPEAKER_47
transcript.pyannote[3869].start 23120.31659375
transcript.pyannote[3869].end 23121.51471875
transcript.pyannote[3870].speaker SPEAKER_47
transcript.pyannote[3870].start 23122.42596875
transcript.pyannote[3870].end 23124.34971875
transcript.pyannote[3871].speaker SPEAKER_47
transcript.pyannote[3871].start 23124.90659375
transcript.pyannote[3871].end 23126.71221875
transcript.pyannote[3872].speaker SPEAKER_47
transcript.pyannote[3872].start 23127.96096875
transcript.pyannote[3872].end 23136.28034375
transcript.pyannote[3873].speaker SPEAKER_47
transcript.pyannote[3873].start 23136.63471875
transcript.pyannote[3873].end 23140.16159375
transcript.pyannote[3874].speaker SPEAKER_47
transcript.pyannote[3874].start 23140.44846875
transcript.pyannote[3874].end 23143.55346875
transcript.pyannote[3875].speaker SPEAKER_47
transcript.pyannote[3875].start 23143.78971875
transcript.pyannote[3875].end 23144.19471875
transcript.pyannote[3876].speaker SPEAKER_47
transcript.pyannote[3876].start 23144.59971875
transcript.pyannote[3876].end 23145.08909375
transcript.pyannote[3877].speaker SPEAKER_47
transcript.pyannote[3877].start 23146.25346875
transcript.pyannote[3877].end 23147.78909375
transcript.pyannote[3878].speaker SPEAKER_47
transcript.pyannote[3878].start 23149.13909375
transcript.pyannote[3878].end 23150.65784375
transcript.pyannote[3879].speaker SPEAKER_16
transcript.pyannote[3879].start 23150.55659375
transcript.pyannote[3879].end 23154.48846875
transcript.pyannote[3880].speaker SPEAKER_47
transcript.pyannote[3880].start 23154.47159375
transcript.pyannote[3880].end 23157.96471875
transcript.pyannote[3881].speaker SPEAKER_47
transcript.pyannote[3881].start 23158.97721875
transcript.pyannote[3881].end 23162.97659375
transcript.pyannote[3882].speaker SPEAKER_16
transcript.pyannote[3882].start 23162.31846875
transcript.pyannote[3882].end 23163.97221875
transcript.pyannote[3883].speaker SPEAKER_16
transcript.pyannote[3883].start 23164.03971875
transcript.pyannote[3883].end 23164.05659375
transcript.pyannote[3884].speaker SPEAKER_47
transcript.pyannote[3884].start 23164.05659375
transcript.pyannote[3884].end 23168.03909375
transcript.pyannote[3885].speaker SPEAKER_16
transcript.pyannote[3885].start 23165.42346875
transcript.pyannote[3885].end 23169.64221875
transcript.pyannote[3886].speaker SPEAKER_42
transcript.pyannote[3886].start 23168.03909375
transcript.pyannote[3886].end 23168.41034375
transcript.pyannote[3887].speaker SPEAKER_47
transcript.pyannote[3887].start 23168.41034375
transcript.pyannote[3887].end 23168.96721875
transcript.pyannote[3888].speaker SPEAKER_42
transcript.pyannote[3888].start 23168.96721875
transcript.pyannote[3888].end 23169.06846875
transcript.pyannote[3889].speaker SPEAKER_47
transcript.pyannote[3889].start 23169.06846875
transcript.pyannote[3889].end 23169.11909375
transcript.pyannote[3890].speaker SPEAKER_42
transcript.pyannote[3890].start 23169.96284375
transcript.pyannote[3890].end 23171.02596875
transcript.pyannote[3891].speaker SPEAKER_16
transcript.pyannote[3891].start 23171.92034375
transcript.pyannote[3891].end 23176.88159375
transcript.pyannote[3892].speaker SPEAKER_42
transcript.pyannote[3892].start 23172.76409375
transcript.pyannote[3892].end 23173.96221875
transcript.pyannote[3893].speaker SPEAKER_47
transcript.pyannote[3893].start 23173.96221875
transcript.pyannote[3893].end 23174.21534375
transcript.pyannote[3894].speaker SPEAKER_42
transcript.pyannote[3894].start 23174.21534375
transcript.pyannote[3894].end 23174.24909375
transcript.pyannote[3895].speaker SPEAKER_47
transcript.pyannote[3895].start 23174.24909375
transcript.pyannote[3895].end 23174.26596875
transcript.pyannote[3896].speaker SPEAKER_47
transcript.pyannote[3896].start 23174.67096875
transcript.pyannote[3896].end 23174.75534375
transcript.pyannote[3897].speaker SPEAKER_42
transcript.pyannote[3897].start 23174.75534375
transcript.pyannote[3897].end 23174.77221875
transcript.pyannote[3898].speaker SPEAKER_47
transcript.pyannote[3898].start 23174.77221875
transcript.pyannote[3898].end 23175.76784375
transcript.pyannote[3899].speaker SPEAKER_16
transcript.pyannote[3899].start 23178.21471875
transcript.pyannote[3899].end 23178.87284375
transcript.pyannote[3900].speaker SPEAKER_47
transcript.pyannote[3900].start 23178.65346875
transcript.pyannote[3900].end 23185.77471875
transcript.pyannote[3901].speaker SPEAKER_42
transcript.pyannote[3901].start 23183.54721875
transcript.pyannote[3901].end 23183.83409375
transcript.pyannote[3902].speaker SPEAKER_47
transcript.pyannote[3902].start 23186.29784375
transcript.pyannote[3902].end 23204.10096875
transcript.pyannote[3903].speaker SPEAKER_42
transcript.pyannote[3903].start 23189.08221875
transcript.pyannote[3903].end 23189.25096875
transcript.pyannote[3904].speaker SPEAKER_47
transcript.pyannote[3904].start 23204.60721875
transcript.pyannote[3904].end 23205.58596875
transcript.pyannote[3905].speaker SPEAKER_47
transcript.pyannote[3905].start 23205.85596875
transcript.pyannote[3905].end 23208.04971875
transcript.pyannote[3906].speaker SPEAKER_47
transcript.pyannote[3906].start 23208.31971875
transcript.pyannote[3906].end 23209.06221875
transcript.pyannote[3907].speaker SPEAKER_47
transcript.pyannote[3907].start 23210.10846875
transcript.pyannote[3907].end 23211.47534375
transcript.pyannote[3908].speaker SPEAKER_15
transcript.pyannote[3908].start 23212.09971875
transcript.pyannote[3908].end 23219.64284375
transcript.pyannote[3909].speaker SPEAKER_15
transcript.pyannote[3909].start 23220.11534375
transcript.pyannote[3909].end 23235.53909375
transcript.pyannote[3910].speaker SPEAKER_15
transcript.pyannote[3910].start 23235.77534375
transcript.pyannote[3910].end 23259.46784375
transcript.pyannote[3911].speaker SPEAKER_47
transcript.pyannote[3911].start 23260.90221875
transcript.pyannote[3911].end 23261.25659375
transcript.pyannote[3912].speaker SPEAKER_47
transcript.pyannote[3912].start 23262.01596875
transcript.pyannote[3912].end 23263.28159375
transcript.pyannote[3913].speaker SPEAKER_21
transcript.pyannote[3913].start 23265.25596875
transcript.pyannote[3913].end 23301.13221875
transcript.pyannote[3914].speaker SPEAKER_47
transcript.pyannote[3914].start 23304.84471875
transcript.pyannote[3914].end 23311.05471875
transcript.pyannote[3915].speaker SPEAKER_47
transcript.pyannote[3915].start 23312.23596875
transcript.pyannote[3915].end 23314.73346875
transcript.pyannote[3916].speaker SPEAKER_16
transcript.pyannote[3916].start 23315.00346875
transcript.pyannote[3916].end 23331.55784375
transcript.pyannote[3917].speaker SPEAKER_16
transcript.pyannote[3917].start 23331.79409375
transcript.pyannote[3917].end 23333.04284375
transcript.pyannote[3918].speaker SPEAKER_16
transcript.pyannote[3918].start 23333.51534375
transcript.pyannote[3918].end 23338.02096875
transcript.pyannote[3919].speaker SPEAKER_16
transcript.pyannote[3919].start 23338.27409375
transcript.pyannote[3919].end 23380.17471875
transcript.pyannote[3920].speaker SPEAKER_08
transcript.pyannote[3920].start 23346.17159375
transcript.pyannote[3920].end 23346.28971875
transcript.pyannote[3921].speaker SPEAKER_21
transcript.pyannote[3921].start 23383.63409375
transcript.pyannote[3921].end 23393.69159375
transcript.pyannote[3922].speaker SPEAKER_16
transcript.pyannote[3922].start 23393.40471875
transcript.pyannote[3922].end 23398.02846875
transcript.pyannote[3923].speaker SPEAKER_21
transcript.pyannote[3923].start 23401.58909375
transcript.pyannote[3923].end 23416.45596875
transcript.pyannote[3924].speaker SPEAKER_16
transcript.pyannote[3924].start 23416.45596875
transcript.pyannote[3924].end 23418.24471875
transcript.pyannote[3925].speaker SPEAKER_16
transcript.pyannote[3925].start 23418.66659375
transcript.pyannote[3925].end 23420.89409375
transcript.pyannote[3926].speaker SPEAKER_21
transcript.pyannote[3926].start 23421.75471875
transcript.pyannote[3926].end 23429.65221875
transcript.pyannote[3927].speaker SPEAKER_16
transcript.pyannote[3927].start 23423.12159375
transcript.pyannote[3927].end 23423.49284375
transcript.pyannote[3928].speaker SPEAKER_47
transcript.pyannote[3928].start 23430.27659375
transcript.pyannote[3928].end 23443.42221875
transcript.pyannote[3929].speaker SPEAKER_47
transcript.pyannote[3929].start 23444.48534375
transcript.pyannote[3929].end 23444.72159375
transcript.pyannote[3930].speaker SPEAKER_47
transcript.pyannote[3930].start 23445.02534375
transcript.pyannote[3930].end 23446.34159375
transcript.pyannote[3931].speaker SPEAKER_47
transcript.pyannote[3931].start 23446.67909375
transcript.pyannote[3931].end 23448.95721875
transcript.pyannote[3932].speaker SPEAKER_47
transcript.pyannote[3932].start 23449.31159375
transcript.pyannote[3932].end 23460.38159375
transcript.pyannote[3933].speaker SPEAKER_47
transcript.pyannote[3933].start 23460.71909375
transcript.pyannote[3933].end 23462.62596875
transcript.pyannote[3934].speaker SPEAKER_47
transcript.pyannote[3934].start 23463.23346875
transcript.pyannote[3934].end 23466.25409375
transcript.pyannote[3935].speaker SPEAKER_47
transcript.pyannote[3935].start 23471.50221875
transcript.pyannote[3935].end 23475.24846875
transcript.pyannote[3936].speaker SPEAKER_47
transcript.pyannote[3936].start 23475.72096875
transcript.pyannote[3936].end 23482.18409375
transcript.pyannote[3937].speaker SPEAKER_47
transcript.pyannote[3937].start 23482.36971875
transcript.pyannote[3937].end 23483.28096875
transcript.pyannote[3938].speaker SPEAKER_47
transcript.pyannote[3938].start 23483.56784375
transcript.pyannote[3938].end 23487.65159375
transcript.pyannote[3939].speaker SPEAKER_47
transcript.pyannote[3939].start 23488.10721875
transcript.pyannote[3939].end 23489.17034375
transcript.pyannote[3940].speaker SPEAKER_21
transcript.pyannote[3940].start 23489.87909375
transcript.pyannote[3940].end 23497.48971875
transcript.pyannote[3941].speaker SPEAKER_21
transcript.pyannote[3941].start 23497.72596875
transcript.pyannote[3941].end 23502.02909375
transcript.pyannote[3942].speaker SPEAKER_47
transcript.pyannote[3942].start 23505.16784375
transcript.pyannote[3942].end 23507.53034375
transcript.pyannote[3943].speaker SPEAKER_42
transcript.pyannote[3943].start 23512.39034375
transcript.pyannote[3943].end 23512.59284375
transcript.pyannote[3944].speaker SPEAKER_42
transcript.pyannote[3944].start 23512.99784375
transcript.pyannote[3944].end 23513.55471875
transcript.pyannote[3945].speaker SPEAKER_42
transcript.pyannote[3945].start 23513.57159375
transcript.pyannote[3945].end 23513.62221875
transcript.pyannote[3946].speaker SPEAKER_47
transcript.pyannote[3946].start 23513.62221875
transcript.pyannote[3946].end 23518.19534375
transcript.pyannote[3947].speaker SPEAKER_47
transcript.pyannote[3947].start 23519.81534375
transcript.pyannote[3947].end 23520.30471875
transcript.pyannote[3948].speaker SPEAKER_16
transcript.pyannote[3948].start 23519.84909375
transcript.pyannote[3948].end 23520.60846875
transcript.pyannote[3949].speaker SPEAKER_21
transcript.pyannote[3949].start 23520.30471875
transcript.pyannote[3949].end 23520.32159375
transcript.pyannote[3950].speaker SPEAKER_21
transcript.pyannote[3950].start 23520.60846875
transcript.pyannote[3950].end 23520.65909375
transcript.pyannote[3951].speaker SPEAKER_16
transcript.pyannote[3951].start 23520.65909375
transcript.pyannote[3951].end 23520.67596875
transcript.pyannote[3952].speaker SPEAKER_21
transcript.pyannote[3952].start 23520.67596875
transcript.pyannote[3952].end 23520.72659375
transcript.pyannote[3953].speaker SPEAKER_16
transcript.pyannote[3953].start 23520.72659375
transcript.pyannote[3953].end 23525.78909375
transcript.pyannote[3954].speaker SPEAKER_47
transcript.pyannote[3954].start 23520.89534375
transcript.pyannote[3954].end 23520.94596875
transcript.pyannote[3955].speaker SPEAKER_21
transcript.pyannote[3955].start 23520.94596875
transcript.pyannote[3955].end 23520.99659375
transcript.pyannote[3956].speaker SPEAKER_47
transcript.pyannote[3956].start 23520.99659375
transcript.pyannote[3956].end 23521.26659375
transcript.pyannote[3957].speaker SPEAKER_21
transcript.pyannote[3957].start 23521.26659375
transcript.pyannote[3957].end 23521.28346875
transcript.pyannote[3958].speaker SPEAKER_47
transcript.pyannote[3958].start 23521.28346875
transcript.pyannote[3958].end 23521.40159375
transcript.pyannote[3959].speaker SPEAKER_21
transcript.pyannote[3959].start 23521.40159375
transcript.pyannote[3959].end 23521.46909375
transcript.pyannote[3960].speaker SPEAKER_47
transcript.pyannote[3960].start 23521.46909375
transcript.pyannote[3960].end 23521.53659375
transcript.pyannote[3961].speaker SPEAKER_47
transcript.pyannote[3961].start 23524.27034375
transcript.pyannote[3961].end 23524.96221875
transcript.pyannote[3962].speaker SPEAKER_16
transcript.pyannote[3962].start 23526.41346875
transcript.pyannote[3962].end 23528.15159375
transcript.pyannote[3963].speaker SPEAKER_21
transcript.pyannote[3963].start 23526.49784375
transcript.pyannote[3963].end 23527.17284375
transcript.pyannote[3964].speaker SPEAKER_16
transcript.pyannote[3964].start 23529.68721875
transcript.pyannote[3964].end 23529.80534375
transcript.pyannote[3965].speaker SPEAKER_16
transcript.pyannote[3965].start 23530.14284375
transcript.pyannote[3965].end 23530.39596875
transcript.pyannote[3966].speaker SPEAKER_21
transcript.pyannote[3966].start 23530.39596875
transcript.pyannote[3966].end 23530.42971875
transcript.pyannote[3967].speaker SPEAKER_16
transcript.pyannote[3967].start 23530.42971875
transcript.pyannote[3967].end 23532.03284375
transcript.pyannote[3968].speaker SPEAKER_21
transcript.pyannote[3968].start 23532.03284375
transcript.pyannote[3968].end 23534.02409375
transcript.pyannote[3969].speaker SPEAKER_16
transcript.pyannote[3969].start 23532.04971875
transcript.pyannote[3969].end 23532.43784375
transcript.pyannote[3970].speaker SPEAKER_21
transcript.pyannote[3970].start 23534.22659375
transcript.pyannote[3970].end 23538.41159375
transcript.pyannote[3971].speaker SPEAKER_47
transcript.pyannote[3971].start 23536.36971875
transcript.pyannote[3971].end 23539.12034375
transcript.pyannote[3972].speaker SPEAKER_47
transcript.pyannote[3972].start 23539.82909375
transcript.pyannote[3972].end 23543.89596875
transcript.pyannote[3973].speaker SPEAKER_21
transcript.pyannote[3973].start 23541.43221875
transcript.pyannote[3973].end 23541.82034375
transcript.pyannote[3974].speaker SPEAKER_13
transcript.pyannote[3974].start 23541.82034375
transcript.pyannote[3974].end 23541.85409375
transcript.pyannote[3975].speaker SPEAKER_47
transcript.pyannote[3975].start 23544.19971875
transcript.pyannote[3975].end 23556.07971875
transcript.pyannote[3976].speaker SPEAKER_47
transcript.pyannote[3976].start 23556.28221875
transcript.pyannote[3976].end 23564.43284375
transcript.pyannote[3977].speaker SPEAKER_47
transcript.pyannote[3977].start 23564.61846875
transcript.pyannote[3977].end 23570.40659375
transcript.pyannote[3978].speaker SPEAKER_47
transcript.pyannote[3978].start 23570.44034375
transcript.pyannote[3978].end 23574.64221875
transcript.pyannote[3979].speaker SPEAKER_25
transcript.pyannote[3979].start 23575.58721875
transcript.pyannote[3979].end 23578.65846875
transcript.pyannote[3980].speaker SPEAKER_25
transcript.pyannote[3980].start 23578.75971875
transcript.pyannote[3980].end 23580.49784375
transcript.pyannote[3981].speaker SPEAKER_25
transcript.pyannote[3981].start 23580.75096875
transcript.pyannote[3981].end 23624.82846875
transcript.pyannote[3982].speaker SPEAKER_47
transcript.pyannote[3982].start 23624.44034375
transcript.pyannote[3982].end 23627.59596875
transcript.pyannote[3983].speaker SPEAKER_09
transcript.pyannote[3983].start 23628.30471875
transcript.pyannote[3983].end 23630.43096875
transcript.pyannote[3984].speaker SPEAKER_09
transcript.pyannote[3984].start 23630.92034375
transcript.pyannote[3984].end 23641.21409375
transcript.pyannote[3985].speaker SPEAKER_09
transcript.pyannote[3985].start 23641.43346875
transcript.pyannote[3985].end 23646.44534375
transcript.pyannote[3986].speaker SPEAKER_09
transcript.pyannote[3986].start 23646.52971875
transcript.pyannote[3986].end 23657.14409375
transcript.pyannote[3987].speaker SPEAKER_09
transcript.pyannote[3987].start 23657.85284375
transcript.pyannote[3987].end 23662.02096875
transcript.pyannote[3988].speaker SPEAKER_16
transcript.pyannote[3988].start 23662.25721875
transcript.pyannote[3988].end 23668.04534375
transcript.pyannote[3989].speaker SPEAKER_16
transcript.pyannote[3989].start 23669.41221875
transcript.pyannote[3989].end 23669.96909375
transcript.pyannote[3990].speaker SPEAKER_09
transcript.pyannote[3990].start 23669.96909375
transcript.pyannote[3990].end 23671.18409375
transcript.pyannote[3991].speaker SPEAKER_16
transcript.pyannote[3991].start 23670.89721875
transcript.pyannote[3991].end 23671.08284375
transcript.pyannote[3992].speaker SPEAKER_16
transcript.pyannote[3992].start 23671.18409375
transcript.pyannote[3992].end 23671.35284375
transcript.pyannote[3993].speaker SPEAKER_09
transcript.pyannote[3993].start 23671.35284375
transcript.pyannote[3993].end 23671.36971875
transcript.pyannote[3994].speaker SPEAKER_09
transcript.pyannote[3994].start 23672.04471875
transcript.pyannote[3994].end 23673.61409375
transcript.pyannote[3995].speaker SPEAKER_09
transcript.pyannote[3995].start 23675.08221875
transcript.pyannote[3995].end 23676.55034375
transcript.pyannote[3996].speaker SPEAKER_09
transcript.pyannote[3996].start 23677.27596875
transcript.pyannote[3996].end 23677.41096875
transcript.pyannote[3997].speaker SPEAKER_16
transcript.pyannote[3997].start 23677.41096875
transcript.pyannote[3997].end 23677.47846875
transcript.pyannote[3998].speaker SPEAKER_09
transcript.pyannote[3998].start 23677.47846875
transcript.pyannote[3998].end 23678.05221875
transcript.pyannote[3999].speaker SPEAKER_16
transcript.pyannote[3999].start 23678.05221875
transcript.pyannote[3999].end 23678.08596875
transcript.pyannote[4000].speaker SPEAKER_09
transcript.pyannote[4000].start 23678.08596875
transcript.pyannote[4000].end 23689.03784375
transcript.pyannote[4001].speaker SPEAKER_16
transcript.pyannote[4001].start 23678.59221875
transcript.pyannote[4001].end 23679.36846875
transcript.pyannote[4002].speaker SPEAKER_16
transcript.pyannote[4002].start 23681.61284375
transcript.pyannote[4002].end 23682.03471875
transcript.pyannote[4003].speaker SPEAKER_47
transcript.pyannote[4003].start 23682.03471875
transcript.pyannote[4003].end 23682.60846875
transcript.pyannote[4004].speaker SPEAKER_16
transcript.pyannote[4004].start 23682.60846875
transcript.pyannote[4004].end 23682.62534375
transcript.pyannote[4005].speaker SPEAKER_42
transcript.pyannote[4005].start 23682.62534375
transcript.pyannote[4005].end 23682.65909375
transcript.pyannote[4006].speaker SPEAKER_00
transcript.pyannote[4006].start 23682.65909375
transcript.pyannote[4006].end 23682.69284375
transcript.pyannote[4007].speaker SPEAKER_00
transcript.pyannote[4007].start 23684.12721875
transcript.pyannote[4007].end 23685.71346875
transcript.pyannote[4008].speaker SPEAKER_47
transcript.pyannote[4008].start 23685.71346875
transcript.pyannote[4008].end 23686.03409375
transcript.pyannote[4009].speaker SPEAKER_00
transcript.pyannote[4009].start 23686.03409375
transcript.pyannote[4009].end 23686.06784375
transcript.pyannote[4010].speaker SPEAKER_09
transcript.pyannote[4010].start 23689.54409375
transcript.pyannote[4010].end 23690.40471875
transcript.pyannote[4011].speaker SPEAKER_47
transcript.pyannote[4011].start 23691.13034375
transcript.pyannote[4011].end 23694.97784375
transcript.pyannote[4012].speaker SPEAKER_16
transcript.pyannote[4012].start 23693.17221875
transcript.pyannote[4012].end 23693.66159375
transcript.pyannote[4013].speaker SPEAKER_09
transcript.pyannote[4013].start 23693.66159375
transcript.pyannote[4013].end 23693.96534375
transcript.pyannote[4014].speaker SPEAKER_16
transcript.pyannote[4014].start 23694.97784375
transcript.pyannote[4014].end 23695.90596875
transcript.pyannote[4015].speaker SPEAKER_47
transcript.pyannote[4015].start 23695.93971875
transcript.pyannote[4015].end 23701.45784375
transcript.pyannote[4016].speaker SPEAKER_16
transcript.pyannote[4016].start 23699.06159375
transcript.pyannote[4016].end 23699.73659375
transcript.pyannote[4017].speaker SPEAKER_47
transcript.pyannote[4017].start 23701.71096875
transcript.pyannote[4017].end 23707.14471875
transcript.pyannote[4018].speaker SPEAKER_09
transcript.pyannote[4018].start 23704.22534375
transcript.pyannote[4018].end 23705.03534375
transcript.pyannote[4019].speaker SPEAKER_09
transcript.pyannote[4019].start 23707.14471875
transcript.pyannote[4019].end 23709.38909375
transcript.pyannote[4020].speaker SPEAKER_47
transcript.pyannote[4020].start 23708.73096875
transcript.pyannote[4020].end 23709.37221875
transcript.pyannote[4021].speaker SPEAKER_47
transcript.pyannote[4021].start 23709.72659375
transcript.pyannote[4021].end 23711.98784375
transcript.pyannote[4022].speaker SPEAKER_47
transcript.pyannote[4022].start 23712.84846875
transcript.pyannote[4022].end 23714.77221875
transcript.pyannote[4023].speaker SPEAKER_09
transcript.pyannote[4023].start 23714.53596875
transcript.pyannote[4023].end 23718.46784375
transcript.pyannote[4024].speaker SPEAKER_47
transcript.pyannote[4024].start 23718.60284375
transcript.pyannote[4024].end 23722.12971875
transcript.pyannote[4025].speaker SPEAKER_09
transcript.pyannote[4025].start 23718.97409375
transcript.pyannote[4025].end 23719.66596875
transcript.pyannote[4026].speaker SPEAKER_09
transcript.pyannote[4026].start 23721.53909375
transcript.pyannote[4026].end 23723.04096875
transcript.pyannote[4027].speaker SPEAKER_47
transcript.pyannote[4027].start 23722.48409375
transcript.pyannote[4027].end 23722.50096875
transcript.pyannote[4028].speaker SPEAKER_47
transcript.pyannote[4028].start 23722.63596875
transcript.pyannote[4028].end 23736.97971875
transcript.pyannote[4029].speaker SPEAKER_47
transcript.pyannote[4029].start 23737.18221875
transcript.pyannote[4029].end 23739.51096875
transcript.pyannote[4030].speaker SPEAKER_47
transcript.pyannote[4030].start 23739.73034375
transcript.pyannote[4030].end 23743.88159375
transcript.pyannote[4031].speaker SPEAKER_47
transcript.pyannote[4031].start 23744.11784375
transcript.pyannote[4031].end 23748.18471875
transcript.pyannote[4032].speaker SPEAKER_09
transcript.pyannote[4032].start 23748.20159375
transcript.pyannote[4032].end 23758.83284375
transcript.pyannote[4033].speaker SPEAKER_09
transcript.pyannote[4033].start 23759.37284375
transcript.pyannote[4033].end 23802.20159375
transcript.pyannote[4034].speaker SPEAKER_09
transcript.pyannote[4034].start 23802.43784375
transcript.pyannote[4034].end 23804.86784375
transcript.pyannote[4035].speaker SPEAKER_09
transcript.pyannote[4035].start 23805.34034375
transcript.pyannote[4035].end 23821.94534375
transcript.pyannote[4036].speaker SPEAKER_09
transcript.pyannote[4036].start 23822.28284375
transcript.pyannote[4036].end 23824.49346875
transcript.pyannote[4037].speaker SPEAKER_09
transcript.pyannote[4037].start 23824.96596875
transcript.pyannote[4037].end 23831.71596875
transcript.pyannote[4038].speaker SPEAKER_09
transcript.pyannote[4038].start 23832.17159375
transcript.pyannote[4038].end 23846.32971875
transcript.pyannote[4039].speaker SPEAKER_09
transcript.pyannote[4039].start 23847.07221875
transcript.pyannote[4039].end 23859.47534375
transcript.pyannote[4040].speaker SPEAKER_47
transcript.pyannote[4040].start 23859.84659375
transcript.pyannote[4040].end 23863.08659375
transcript.pyannote[4041].speaker SPEAKER_15
transcript.pyannote[4041].start 23863.64346875
transcript.pyannote[4041].end 23865.02721875
transcript.pyannote[4042].speaker SPEAKER_15
transcript.pyannote[4042].start 23865.34784375
transcript.pyannote[4042].end 23868.14909375
transcript.pyannote[4043].speaker SPEAKER_15
transcript.pyannote[4043].start 23868.63846875
transcript.pyannote[4043].end 23875.87784375
transcript.pyannote[4044].speaker SPEAKER_15
transcript.pyannote[4044].start 23876.09721875
transcript.pyannote[4044].end 23890.94721875
transcript.pyannote[4045].speaker SPEAKER_15
transcript.pyannote[4045].start 23891.75721875
transcript.pyannote[4045].end 23909.08784375
transcript.pyannote[4046].speaker SPEAKER_15
transcript.pyannote[4046].start 23909.52659375
transcript.pyannote[4046].end 23911.06221875
transcript.pyannote[4047].speaker SPEAKER_15
transcript.pyannote[4047].start 23911.65284375
transcript.pyannote[4047].end 23928.39284375
transcript.pyannote[4048].speaker SPEAKER_15
transcript.pyannote[4048].start 23929.33784375
transcript.pyannote[4048].end 23930.35034375
transcript.pyannote[4049].speaker SPEAKER_15
transcript.pyannote[4049].start 23931.43034375
transcript.pyannote[4049].end 23958.39659375
transcript.pyannote[4050].speaker SPEAKER_47
transcript.pyannote[4050].start 23959.96596875
transcript.pyannote[4050].end 23965.83846875
transcript.pyannote[4051].speaker SPEAKER_16
transcript.pyannote[4051].start 23965.83846875
transcript.pyannote[4051].end 23965.92284375
transcript.pyannote[4052].speaker SPEAKER_47
transcript.pyannote[4052].start 23965.92284375
transcript.pyannote[4052].end 23965.97346875
transcript.pyannote[4053].speaker SPEAKER_16
transcript.pyannote[4053].start 23965.97346875
transcript.pyannote[4053].end 23979.67596875
transcript.pyannote[4054].speaker SPEAKER_16
transcript.pyannote[4054].start 23980.06409375
transcript.pyannote[4054].end 23982.22409375
transcript.pyannote[4055].speaker SPEAKER_16
transcript.pyannote[4055].start 23982.35909375
transcript.pyannote[4055].end 23995.28534375
transcript.pyannote[4056].speaker SPEAKER_16
transcript.pyannote[4056].start 23995.47096875
transcript.pyannote[4056].end 23996.77034375
transcript.pyannote[4057].speaker SPEAKER_16
transcript.pyannote[4057].start 23997.00659375
transcript.pyannote[4057].end 24024.02346875
transcript.pyannote[4058].speaker SPEAKER_16
transcript.pyannote[4058].start 24024.31034375
transcript.pyannote[4058].end 24037.96221875
transcript.pyannote[4059].speaker SPEAKER_16
transcript.pyannote[4059].start 24038.11409375
transcript.pyannote[4059].end 24056.79471875
transcript.pyannote[4060].speaker SPEAKER_16
transcript.pyannote[4060].start 24057.43596875
transcript.pyannote[4060].end 24058.98846875
transcript.pyannote[4061].speaker SPEAKER_16
transcript.pyannote[4061].start 24059.86596875
transcript.pyannote[4061].end 24071.17221875
transcript.pyannote[4062].speaker SPEAKER_16
transcript.pyannote[4062].start 24071.94846875
transcript.pyannote[4062].end 24075.05346875
transcript.pyannote[4063].speaker SPEAKER_16
transcript.pyannote[4063].start 24075.28971875
transcript.pyannote[4063].end 24097.36221875
transcript.pyannote[4064].speaker SPEAKER_47
transcript.pyannote[4064].start 24093.37971875
transcript.pyannote[4064].end 24096.70409375
transcript.pyannote[4065].speaker SPEAKER_16
transcript.pyannote[4065].start 24097.39596875
transcript.pyannote[4065].end 24098.30721875
transcript.pyannote[4066].speaker SPEAKER_16
transcript.pyannote[4066].start 24099.58971875
transcript.pyannote[4066].end 24103.85909375
transcript.pyannote[4067].speaker SPEAKER_47
transcript.pyannote[4067].start 24104.26409375
transcript.pyannote[4067].end 24112.70159375
transcript.pyannote[4068].speaker SPEAKER_47
transcript.pyannote[4068].start 24112.75221875
transcript.pyannote[4068].end 24113.49471875
transcript.pyannote[4069].speaker SPEAKER_47
transcript.pyannote[4069].start 24113.84909375
transcript.pyannote[4069].end 24118.89471875
transcript.pyannote[4070].speaker SPEAKER_47
transcript.pyannote[4070].start 24119.08034375
transcript.pyannote[4070].end 24123.73784375
transcript.pyannote[4071].speaker SPEAKER_47
transcript.pyannote[4071].start 24125.62784375
transcript.pyannote[4071].end 24137.13659375
transcript.pyannote[4072].speaker SPEAKER_42
transcript.pyannote[4072].start 24126.70784375
transcript.pyannote[4072].end 24126.72471875
transcript.pyannote[4073].speaker SPEAKER_42
transcript.pyannote[4073].start 24126.74159375
transcript.pyannote[4073].end 24126.84284375
transcript.pyannote[4074].speaker SPEAKER_42
transcript.pyannote[4074].start 24127.34909375
transcript.pyannote[4074].end 24127.66971875
transcript.pyannote[4075].speaker SPEAKER_47
transcript.pyannote[4075].start 24137.74409375
transcript.pyannote[4075].end 24140.20784375
transcript.pyannote[4076].speaker SPEAKER_47
transcript.pyannote[4076].start 24141.79409375
transcript.pyannote[4076].end 24144.94971875
transcript.pyannote[4077].speaker SPEAKER_16
transcript.pyannote[4077].start 24144.71346875
transcript.pyannote[4077].end 24144.76409375
transcript.pyannote[4078].speaker SPEAKER_16
transcript.pyannote[4078].start 24144.84846875
transcript.pyannote[4078].end 24144.86534375
transcript.pyannote[4079].speaker SPEAKER_16
transcript.pyannote[4079].start 24144.94971875
transcript.pyannote[4079].end 24156.55971875
transcript.pyannote[4080].speaker SPEAKER_16
transcript.pyannote[4080].start 24156.82971875
transcript.pyannote[4080].end 24164.20409375
transcript.pyannote[4081].speaker SPEAKER_16
transcript.pyannote[4081].start 24164.32221875
transcript.pyannote[4081].end 24168.11909375
transcript.pyannote[4082].speaker SPEAKER_16
transcript.pyannote[4082].start 24168.20346875
transcript.pyannote[4082].end 24171.76409375
transcript.pyannote[4083].speaker SPEAKER_16
transcript.pyannote[4083].start 24171.93284375
transcript.pyannote[4083].end 24175.15596875
transcript.pyannote[4084].speaker SPEAKER_15
transcript.pyannote[4084].start 24176.84346875
transcript.pyannote[4084].end 24180.62346875
transcript.pyannote[4085].speaker SPEAKER_47
transcript.pyannote[4085].start 24183.17159375
transcript.pyannote[4085].end 24183.52596875
transcript.pyannote[4086].speaker SPEAKER_47
transcript.pyannote[4086].start 24184.25159375
transcript.pyannote[4086].end 24191.20409375
transcript.pyannote[4087].speaker SPEAKER_07
transcript.pyannote[4087].start 24187.86284375
transcript.pyannote[4087].end 24188.87534375
transcript.pyannote[4088].speaker SPEAKER_47
transcript.pyannote[4088].start 24191.30534375
transcript.pyannote[4088].end 24192.45284375
transcript.pyannote[4089].speaker SPEAKER_47
transcript.pyannote[4089].start 24192.99284375
transcript.pyannote[4089].end 24197.88659375
transcript.pyannote[4090].speaker SPEAKER_47
transcript.pyannote[4090].start 24198.47721875
transcript.pyannote[4090].end 24204.97409375
transcript.pyannote[4091].speaker SPEAKER_47
transcript.pyannote[4091].start 24205.80096875
transcript.pyannote[4091].end 24206.57721875
transcript.pyannote[4092].speaker SPEAKER_47
transcript.pyannote[4092].start 24207.55596875
transcript.pyannote[4092].end 24207.97784375
transcript.pyannote[4093].speaker SPEAKER_16
transcript.pyannote[4093].start 24207.97784375
transcript.pyannote[4093].end 24208.02846875
transcript.pyannote[4094].speaker SPEAKER_47
transcript.pyannote[4094].start 24208.02846875
transcript.pyannote[4094].end 24210.40784375
transcript.pyannote[4095].speaker SPEAKER_47
transcript.pyannote[4095].start 24210.64409375
transcript.pyannote[4095].end 24211.53846875
transcript.pyannote[4096].speaker SPEAKER_16
transcript.pyannote[4096].start 24211.53846875
transcript.pyannote[4096].end 24211.55534375
transcript.pyannote[4097].speaker SPEAKER_47
transcript.pyannote[4097].start 24212.17971875
transcript.pyannote[4097].end 24212.97284375
transcript.pyannote[4098].speaker SPEAKER_16
transcript.pyannote[4098].start 24212.97284375
transcript.pyannote[4098].end 24213.91784375
transcript.pyannote[4099].speaker SPEAKER_16
transcript.pyannote[4099].start 24214.28909375
transcript.pyannote[4099].end 24224.53221875
transcript.pyannote[4100].speaker SPEAKER_47
transcript.pyannote[4100].start 24224.53221875
transcript.pyannote[4100].end 24227.14784375
transcript.pyannote[4101].speaker SPEAKER_16
transcript.pyannote[4101].start 24231.80534375
transcript.pyannote[4101].end 24237.54284375
transcript.pyannote[4102].speaker SPEAKER_16
transcript.pyannote[4102].start 24237.72846875
transcript.pyannote[4102].end 24238.58909375
transcript.pyannote[4103].speaker SPEAKER_16
transcript.pyannote[4103].start 24239.82096875
transcript.pyannote[4103].end 24240.85034375
transcript.pyannote[4104].speaker SPEAKER_16
transcript.pyannote[4104].start 24241.18784375
transcript.pyannote[4104].end 24241.22159375
transcript.pyannote[4105].speaker SPEAKER_47
transcript.pyannote[4105].start 24241.22159375
transcript.pyannote[4105].end 24242.97659375
transcript.pyannote[4106].speaker SPEAKER_16
transcript.pyannote[4106].start 24242.97659375
transcript.pyannote[4106].end 24253.87784375
transcript.pyannote[4107].speaker SPEAKER_47
transcript.pyannote[4107].start 24254.45159375
transcript.pyannote[4107].end 24259.96971875
transcript.pyannote[4108].speaker SPEAKER_16
transcript.pyannote[4108].start 24259.96971875
transcript.pyannote[4108].end 24265.62284375
transcript.pyannote[4109].speaker SPEAKER_16
transcript.pyannote[4109].start 24266.17971875
transcript.pyannote[4109].end 24272.89596875
transcript.pyannote[4110].speaker SPEAKER_47
transcript.pyannote[4110].start 24266.77034375
transcript.pyannote[4110].end 24268.08659375
transcript.pyannote[4111].speaker SPEAKER_47
transcript.pyannote[4111].start 24272.01846875
transcript.pyannote[4111].end 24273.18284375
transcript.pyannote[4112].speaker SPEAKER_16
transcript.pyannote[4112].start 24273.57096875
transcript.pyannote[4112].end 24275.35971875
transcript.pyannote[4113].speaker SPEAKER_16
transcript.pyannote[4113].start 24276.50721875
transcript.pyannote[4113].end 24276.91221875
transcript.pyannote[4114].speaker SPEAKER_16
transcript.pyannote[4114].start 24278.07659375
transcript.pyannote[4114].end 24280.60784375
transcript.pyannote[4115].speaker SPEAKER_16
transcript.pyannote[4115].start 24281.99159375
transcript.pyannote[4115].end 24282.02534375
transcript.pyannote[4116].speaker SPEAKER_47
transcript.pyannote[4116].start 24282.02534375
transcript.pyannote[4116].end 24292.57221875
transcript.pyannote[4117].speaker SPEAKER_31
transcript.pyannote[4117].start 24294.32721875
transcript.pyannote[4117].end 24295.94721875
transcript.pyannote[4118].speaker SPEAKER_31
transcript.pyannote[4118].start 24296.43659375
transcript.pyannote[4118].end 24303.15284375
transcript.pyannote[4119].speaker SPEAKER_32
transcript.pyannote[4119].start 24303.15284375
transcript.pyannote[4119].end 24303.92909375
transcript.pyannote[4120].speaker SPEAKER_31
transcript.pyannote[4120].start 24303.92909375
transcript.pyannote[4120].end 24303.96284375
transcript.pyannote[4121].speaker SPEAKER_32
transcript.pyannote[4121].start 24303.96284375
transcript.pyannote[4121].end 24312.43409375
transcript.pyannote[4122].speaker SPEAKER_42
transcript.pyannote[4122].start 24312.43409375
transcript.pyannote[4122].end 24312.88971875
transcript.pyannote[4123].speaker SPEAKER_47
transcript.pyannote[4123].start 24313.12596875
transcript.pyannote[4123].end 24316.55159375
transcript.pyannote[4124].speaker SPEAKER_47
transcript.pyannote[4124].start 24317.15909375
transcript.pyannote[4124].end 24330.15284375
transcript.pyannote[4125].speaker SPEAKER_47
transcript.pyannote[4125].start 24330.72659375
transcript.pyannote[4125].end 24338.75909375
transcript.pyannote[4126].speaker SPEAKER_47
transcript.pyannote[4126].start 24340.58159375
transcript.pyannote[4126].end 24347.60159375
transcript.pyannote[4127].speaker SPEAKER_47
transcript.pyannote[4127].start 24350.55471875
transcript.pyannote[4127].end 24354.23346875
transcript.pyannote[4128].speaker SPEAKER_32
transcript.pyannote[4128].start 24358.65471875
transcript.pyannote[4128].end 24363.97034375
transcript.pyannote[4129].speaker SPEAKER_39
transcript.pyannote[4129].start 24360.03846875
transcript.pyannote[4129].end 24360.05534375
transcript.pyannote[4130].speaker SPEAKER_39
transcript.pyannote[4130].start 24360.07221875
transcript.pyannote[4130].end 24360.46034375
transcript.pyannote[4131].speaker SPEAKER_39
transcript.pyannote[4131].start 24360.52784375
transcript.pyannote[4131].end 24361.21971875
transcript.pyannote[4132].speaker SPEAKER_39
transcript.pyannote[4132].start 24362.24909375
transcript.pyannote[4132].end 24362.26596875
transcript.pyannote[4133].speaker SPEAKER_31
transcript.pyannote[4133].start 24362.26596875
transcript.pyannote[4133].end 24363.43034375
transcript.pyannote[4134].speaker SPEAKER_31
transcript.pyannote[4134].start 24366.50159375
transcript.pyannote[4134].end 24379.29284375
transcript.pyannote[4135].speaker SPEAKER_21
transcript.pyannote[4135].start 24374.68596875
transcript.pyannote[4135].end 24375.73221875
transcript.pyannote[4136].speaker SPEAKER_21
transcript.pyannote[4136].start 24376.00221875
transcript.pyannote[4136].end 24377.03159375
transcript.pyannote[4137].speaker SPEAKER_42
transcript.pyannote[4137].start 24377.03159375
transcript.pyannote[4137].end 24379.22534375
transcript.pyannote[4138].speaker SPEAKER_42
transcript.pyannote[4138].start 24379.29284375
transcript.pyannote[4138].end 24379.41096875
transcript.pyannote[4139].speaker SPEAKER_31
transcript.pyannote[4139].start 24379.79909375
transcript.pyannote[4139].end 24381.48659375
transcript.pyannote[4140].speaker SPEAKER_42
transcript.pyannote[4140].start 24379.88346875
transcript.pyannote[4140].end 24381.03096875
transcript.pyannote[4141].speaker SPEAKER_32
transcript.pyannote[4141].start 24381.03096875
transcript.pyannote[4141].end 24381.31784375
transcript.pyannote[4142].speaker SPEAKER_42
transcript.pyannote[4142].start 24381.48659375
transcript.pyannote[4142].end 24381.53721875
transcript.pyannote[4143].speaker SPEAKER_32
transcript.pyannote[4143].start 24381.53721875
transcript.pyannote[4143].end 24381.75659375
transcript.pyannote[4144].speaker SPEAKER_42
transcript.pyannote[4144].start 24381.75659375
transcript.pyannote[4144].end 24381.82409375
transcript.pyannote[4145].speaker SPEAKER_32
transcript.pyannote[4145].start 24381.82409375
transcript.pyannote[4145].end 24381.89159375
transcript.pyannote[4146].speaker SPEAKER_32
transcript.pyannote[4146].start 24381.97596875
transcript.pyannote[4146].end 24381.99284375
transcript.pyannote[4147].speaker SPEAKER_32
transcript.pyannote[4147].start 24384.15284375
transcript.pyannote[4147].end 24384.42284375
transcript.pyannote[4148].speaker SPEAKER_32
transcript.pyannote[4148].start 24385.85721875
transcript.pyannote[4148].end 24393.97409375
transcript.pyannote[4149].speaker SPEAKER_13
transcript.pyannote[4149].start 24388.94534375
transcript.pyannote[4149].end 24389.02971875
transcript.pyannote[4150].speaker SPEAKER_31
transcript.pyannote[4150].start 24389.02971875
transcript.pyannote[4150].end 24389.95784375
transcript.pyannote[4151].speaker SPEAKER_13
transcript.pyannote[4151].start 24389.95784375
transcript.pyannote[4151].end 24390.02534375
transcript.pyannote[4152].speaker SPEAKER_31
transcript.pyannote[4152].start 24390.14346875
transcript.pyannote[4152].end 24390.22784375
transcript.pyannote[4153].speaker SPEAKER_31
transcript.pyannote[4153].start 24390.36284375
transcript.pyannote[4153].end 24390.54846875
transcript.pyannote[4154].speaker SPEAKER_31
transcript.pyannote[4154].start 24390.85221875
transcript.pyannote[4154].end 24393.29909375
transcript.pyannote[4155].speaker SPEAKER_13
transcript.pyannote[4155].start 24393.29909375
transcript.pyannote[4155].end 24393.33284375
transcript.pyannote[4156].speaker SPEAKER_13
transcript.pyannote[4156].start 24393.97409375
transcript.pyannote[4156].end 24394.02471875
transcript.pyannote[4157].speaker SPEAKER_32
transcript.pyannote[4157].start 24394.02471875
transcript.pyannote[4157].end 24394.17659375
transcript.pyannote[4158].speaker SPEAKER_13
transcript.pyannote[4158].start 24394.17659375
transcript.pyannote[4158].end 24394.22721875
transcript.pyannote[4159].speaker SPEAKER_32
transcript.pyannote[4159].start 24394.22721875
transcript.pyannote[4159].end 24395.83034375
transcript.pyannote[4160].speaker SPEAKER_13
transcript.pyannote[4160].start 24394.51409375
transcript.pyannote[4160].end 24394.53096875
transcript.pyannote[4161].speaker SPEAKER_31
transcript.pyannote[4161].start 24394.53096875
transcript.pyannote[4161].end 24395.07096875
transcript.pyannote[4162].speaker SPEAKER_13
transcript.pyannote[4162].start 24395.07096875
transcript.pyannote[4162].end 24395.08784375
transcript.pyannote[4163].speaker SPEAKER_19
transcript.pyannote[4163].start 24395.08784375
transcript.pyannote[4163].end 24395.10471875
transcript.pyannote[4164].speaker SPEAKER_32
transcript.pyannote[4164].start 24395.96534375
transcript.pyannote[4164].end 24400.82534375
transcript.pyannote[4165].speaker SPEAKER_32
transcript.pyannote[4165].start 24400.97721875
transcript.pyannote[4165].end 24406.02284375
transcript.pyannote[4166].speaker SPEAKER_32
transcript.pyannote[4166].start 24407.20409375
transcript.pyannote[4166].end 24410.62971875
transcript.pyannote[4167].speaker SPEAKER_32
transcript.pyannote[4167].start 24412.38471875
transcript.pyannote[4167].end 24412.75596875
transcript.pyannote[4168].speaker SPEAKER_32
transcript.pyannote[4168].start 24412.97534375
transcript.pyannote[4168].end 24413.02596875
transcript.pyannote[4169].speaker SPEAKER_32
transcript.pyannote[4169].start 24419.91096875
transcript.pyannote[4169].end 24424.06221875
transcript.pyannote[4170].speaker SPEAKER_32
transcript.pyannote[4170].start 24426.81284375
transcript.pyannote[4170].end 24426.96471875
transcript.pyannote[4171].speaker SPEAKER_13
transcript.pyannote[4171].start 24428.88846875
transcript.pyannote[4171].end 24431.20034375
transcript.pyannote[4172].speaker SPEAKER_32
transcript.pyannote[4172].start 24432.66846875
transcript.pyannote[4172].end 24436.97159375
transcript.pyannote[4173].speaker SPEAKER_13
transcript.pyannote[4173].start 24435.08159375
transcript.pyannote[4173].end 24435.84096875
transcript.pyannote[4174].speaker SPEAKER_13
transcript.pyannote[4174].start 24436.97159375
transcript.pyannote[4174].end 24437.07284375
transcript.pyannote[4175].speaker SPEAKER_24
transcript.pyannote[4175].start 24445.91534375
transcript.pyannote[4175].end 24451.70346875
transcript.pyannote[4176].speaker SPEAKER_42
transcript.pyannote[4176].start 24447.83909375
transcript.pyannote[4176].end 24450.94409375
transcript.pyannote[4177].speaker SPEAKER_42
transcript.pyannote[4177].start 24450.97784375
transcript.pyannote[4177].end 24451.58534375
transcript.pyannote[4178].speaker SPEAKER_32
transcript.pyannote[4178].start 24479.59784375
transcript.pyannote[4178].end 24479.61471875
transcript.pyannote[4179].speaker SPEAKER_32
transcript.pyannote[4179].start 24479.68221875
transcript.pyannote[4179].end 24480.05346875
transcript.pyannote[4180].speaker SPEAKER_32
transcript.pyannote[4180].start 24480.50909375
transcript.pyannote[4180].end 24480.55971875
transcript.pyannote[4181].speaker SPEAKER_47
transcript.pyannote[4181].start 24585.52221875
transcript.pyannote[4181].end 24642.49221875
transcript.pyannote[4182].speaker SPEAKER_47
transcript.pyannote[4182].start 24650.55846875
transcript.pyannote[4182].end 24652.76909375
transcript.pyannote[4183].speaker SPEAKER_47
transcript.pyannote[4183].start 24656.83596875
transcript.pyannote[4183].end 24659.53596875
transcript.pyannote[4184].speaker SPEAKER_21
transcript.pyannote[4184].start 24664.90221875
transcript.pyannote[4184].end 24666.04971875
transcript.pyannote[4185].speaker SPEAKER_21
transcript.pyannote[4185].start 24666.96096875
transcript.pyannote[4185].end 24673.18784375
transcript.pyannote[4186].speaker SPEAKER_21
transcript.pyannote[4186].start 24674.06534375
transcript.pyannote[4186].end 24685.81034375
transcript.pyannote[4187].speaker SPEAKER_21
transcript.pyannote[4187].start 24686.11409375
transcript.pyannote[4187].end 24688.84784375
transcript.pyannote[4188].speaker SPEAKER_21
transcript.pyannote[4188].start 24689.28659375
transcript.pyannote[4188].end 24693.20159375
transcript.pyannote[4189].speaker SPEAKER_21
transcript.pyannote[4189].start 24693.69096875
transcript.pyannote[4189].end 24697.28534375
transcript.pyannote[4190].speaker SPEAKER_47
transcript.pyannote[4190].start 24699.14159375
transcript.pyannote[4190].end 24700.98096875
transcript.pyannote[4191].speaker SPEAKER_47
transcript.pyannote[4191].start 24701.94284375
transcript.pyannote[4191].end 24712.15221875
transcript.pyannote[4192].speaker SPEAKER_34
transcript.pyannote[4192].start 24712.57409375
transcript.pyannote[4192].end 24713.82284375
transcript.pyannote[4193].speaker SPEAKER_34
transcript.pyannote[4193].start 24714.48096875
transcript.pyannote[4193].end 24718.85159375
transcript.pyannote[4194].speaker SPEAKER_34
transcript.pyannote[4194].start 24719.29034375
transcript.pyannote[4194].end 24724.06596875
transcript.pyannote[4195].speaker SPEAKER_34
transcript.pyannote[4195].start 24724.30221875
transcript.pyannote[4195].end 24727.79534375
transcript.pyannote[4196].speaker SPEAKER_34
transcript.pyannote[4196].start 24728.21721875
transcript.pyannote[4196].end 24735.37221875
transcript.pyannote[4197].speaker SPEAKER_34
transcript.pyannote[4197].start 24735.57471875
transcript.pyannote[4197].end 24743.80971875
transcript.pyannote[4198].speaker SPEAKER_47
transcript.pyannote[4198].start 24745.24409375
transcript.pyannote[4198].end 24747.50534375
transcript.pyannote[4199].speaker SPEAKER_47
transcript.pyannote[4199].start 24748.11284375
transcript.pyannote[4199].end 24748.50096875
transcript.pyannote[4200].speaker SPEAKER_47
transcript.pyannote[4200].start 24750.10409375
transcript.pyannote[4200].end 24751.28534375
transcript.pyannote[4201].speaker SPEAKER_47
transcript.pyannote[4201].start 24751.90971875
transcript.pyannote[4201].end 24756.75284375
transcript.pyannote[4202].speaker SPEAKER_47
transcript.pyannote[4202].start 24757.24221875
transcript.pyannote[4202].end 24758.44034375
transcript.pyannote[4203].speaker SPEAKER_47
transcript.pyannote[4203].start 24761.27534375
transcript.pyannote[4203].end 24762.82784375
transcript.pyannote[4204].speaker SPEAKER_47
transcript.pyannote[4204].start 24763.97534375
transcript.pyannote[4204].end 24765.03846875
transcript.pyannote[4205].speaker SPEAKER_42
transcript.pyannote[4205].start 24764.56596875
transcript.pyannote[4205].end 24764.80221875
transcript.pyannote[4206].speaker SPEAKER_42
transcript.pyannote[4206].start 24765.03846875
transcript.pyannote[4206].end 24765.05534375
transcript.pyannote[4207].speaker SPEAKER_47
transcript.pyannote[4207].start 24768.78471875
transcript.pyannote[4207].end 24772.04159375
transcript.pyannote[4208].speaker SPEAKER_47
transcript.pyannote[4208].start 24772.22721875
transcript.pyannote[4208].end 24776.64846875
transcript.pyannote[4209].speaker SPEAKER_47
transcript.pyannote[4209].start 24776.96909375
transcript.pyannote[4209].end 24778.85909375
transcript.pyannote[4210].speaker SPEAKER_47
transcript.pyannote[4210].start 24779.07846875
transcript.pyannote[4210].end 24804.59346875
transcript.pyannote[4211].speaker SPEAKER_47
transcript.pyannote[4211].start 24804.89721875
transcript.pyannote[4211].end 24808.47471875
transcript.pyannote[4212].speaker SPEAKER_47
transcript.pyannote[4212].start 24809.18346875
transcript.pyannote[4212].end 24811.44471875
transcript.pyannote[4213].speaker SPEAKER_47
transcript.pyannote[4213].start 24811.78221875
transcript.pyannote[4213].end 24812.44034375
transcript.pyannote[4214].speaker SPEAKER_47
transcript.pyannote[4214].start 24812.74409375
transcript.pyannote[4214].end 24813.84096875
transcript.pyannote[4215].speaker SPEAKER_47
transcript.pyannote[4215].start 24816.40596875
transcript.pyannote[4215].end 24822.44721875
transcript.pyannote[4216].speaker SPEAKER_21
transcript.pyannote[4216].start 24822.58221875
transcript.pyannote[4216].end 24834.83346875
transcript.pyannote[4217].speaker SPEAKER_21
transcript.pyannote[4217].start 24835.40721875
transcript.pyannote[4217].end 24839.40659375
transcript.pyannote[4218].speaker SPEAKER_21
transcript.pyannote[4218].start 24839.60909375
transcript.pyannote[4218].end 24844.03034375
transcript.pyannote[4219].speaker SPEAKER_47
transcript.pyannote[4219].start 24845.41409375
transcript.pyannote[4219].end 24851.33721875
transcript.pyannote[4220].speaker SPEAKER_47
transcript.pyannote[4220].start 24864.88784375
transcript.pyannote[4220].end 24867.43596875
transcript.pyannote[4221].speaker SPEAKER_34
transcript.pyannote[4221].start 24868.78596875
transcript.pyannote[4221].end 24878.18534375
transcript.pyannote[4222].speaker SPEAKER_34
transcript.pyannote[4222].start 24878.28659375
transcript.pyannote[4222].end 24896.81534375
transcript.pyannote[4223].speaker SPEAKER_34
transcript.pyannote[4223].start 24897.05159375
transcript.pyannote[4223].end 24940.96034375
transcript.pyannote[4224].speaker SPEAKER_34
transcript.pyannote[4224].start 24941.93909375
transcript.pyannote[4224].end 24947.44034375
transcript.pyannote[4225].speaker SPEAKER_47
transcript.pyannote[4225].start 24951.97971875
transcript.pyannote[4225].end 24960.61971875
transcript.pyannote[4226].speaker SPEAKER_44
transcript.pyannote[4226].start 24960.61971875
transcript.pyannote[4226].end 24960.67034375
transcript.pyannote[4227].speaker SPEAKER_44
transcript.pyannote[4227].start 24960.82221875
transcript.pyannote[4227].end 24960.85596875
transcript.pyannote[4228].speaker SPEAKER_47
transcript.pyannote[4228].start 24960.85596875
transcript.pyannote[4228].end 24960.87284375
transcript.pyannote[4229].speaker SPEAKER_44
transcript.pyannote[4229].start 24960.87284375
transcript.pyannote[4229].end 24960.90659375
transcript.pyannote[4230].speaker SPEAKER_47
transcript.pyannote[4230].start 24960.90659375
transcript.pyannote[4230].end 24960.95721875
transcript.pyannote[4231].speaker SPEAKER_44
transcript.pyannote[4231].start 24960.95721875
transcript.pyannote[4231].end 24972.34784375
transcript.pyannote[4232].speaker SPEAKER_44
transcript.pyannote[4232].start 24972.39846875
transcript.pyannote[4232].end 24977.42721875
transcript.pyannote[4233].speaker SPEAKER_47
transcript.pyannote[4233].start 24978.74346875
transcript.pyannote[4233].end 24981.78096875
transcript.pyannote[4234].speaker SPEAKER_47
transcript.pyannote[4234].start 24984.09284375
transcript.pyannote[4234].end 24987.06284375
transcript.pyannote[4235].speaker SPEAKER_44
transcript.pyannote[4235].start 24985.25721875
transcript.pyannote[4235].end 24985.96596875
transcript.pyannote[4236].speaker SPEAKER_00
transcript.pyannote[4236].start 24985.96596875
transcript.pyannote[4236].end 24986.47221875
transcript.pyannote[4237].speaker SPEAKER_47
transcript.pyannote[4237].start 24987.68721875
transcript.pyannote[4237].end 24988.10909375
transcript.pyannote[4238].speaker SPEAKER_47
transcript.pyannote[4238].start 24989.40846875
transcript.pyannote[4238].end 24996.25971875
transcript.pyannote[4239].speaker SPEAKER_47
transcript.pyannote[4239].start 24997.33971875
transcript.pyannote[4239].end 24997.35659375
transcript.pyannote[4240].speaker SPEAKER_47
transcript.pyannote[4240].start 24997.37346875
transcript.pyannote[4240].end 25000.34346875
transcript.pyannote[4241].speaker SPEAKER_47
transcript.pyannote[4241].start 25000.36034375
transcript.pyannote[4241].end 25000.39409375
transcript.pyannote[4242].speaker SPEAKER_47
transcript.pyannote[4242].start 25000.74846875
transcript.pyannote[4242].end 25004.03909375
transcript.pyannote[4243].speaker SPEAKER_47
transcript.pyannote[4243].start 25004.46096875
transcript.pyannote[4243].end 25006.35096875
transcript.pyannote[4244].speaker SPEAKER_03
transcript.pyannote[4244].start 25006.80659375
transcript.pyannote[4244].end 25017.77534375
transcript.pyannote[4245].speaker SPEAKER_03
transcript.pyannote[4245].start 25017.85971875
transcript.pyannote[4245].end 25024.74471875
transcript.pyannote[4246].speaker SPEAKER_03
transcript.pyannote[4246].start 25027.66409375
transcript.pyannote[4246].end 25029.50346875
transcript.pyannote[4247].speaker SPEAKER_13
transcript.pyannote[4247].start 25029.73971875
transcript.pyannote[4247].end 25030.12784375
transcript.pyannote[4248].speaker SPEAKER_42
transcript.pyannote[4248].start 25030.12784375
transcript.pyannote[4248].end 25030.70159375
transcript.pyannote[4249].speaker SPEAKER_13
transcript.pyannote[4249].start 25030.70159375
transcript.pyannote[4249].end 25031.44409375
transcript.pyannote[4250].speaker SPEAKER_42
transcript.pyannote[4250].start 25031.44409375
transcript.pyannote[4250].end 25031.46096875
transcript.pyannote[4251].speaker SPEAKER_13
transcript.pyannote[4251].start 25031.46096875
transcript.pyannote[4251].end 25031.54534375
transcript.pyannote[4252].speaker SPEAKER_03
transcript.pyannote[4252].start 25033.16534375
transcript.pyannote[4252].end 25034.51534375
transcript.pyannote[4253].speaker SPEAKER_03
transcript.pyannote[4253].start 25034.61659375
transcript.pyannote[4253].end 25034.68409375
transcript.pyannote[4254].speaker SPEAKER_32
transcript.pyannote[4254].start 25034.68409375
transcript.pyannote[4254].end 25034.98784375
transcript.pyannote[4255].speaker SPEAKER_03
transcript.pyannote[4255].start 25034.98784375
transcript.pyannote[4255].end 25035.03846875
transcript.pyannote[4256].speaker SPEAKER_47
transcript.pyannote[4256].start 25036.13534375
transcript.pyannote[4256].end 25037.41784375
transcript.pyannote[4257].speaker SPEAKER_47
transcript.pyannote[4257].start 25038.04221875
transcript.pyannote[4257].end 25039.47659375
transcript.pyannote[4258].speaker SPEAKER_30
transcript.pyannote[4258].start 25039.51034375
transcript.pyannote[4258].end 25046.26034375
transcript.pyannote[4259].speaker SPEAKER_30
transcript.pyannote[4259].start 25047.10409375
transcript.pyannote[4259].end 25057.22909375
transcript.pyannote[4260].speaker SPEAKER_47
transcript.pyannote[4260].start 25053.85409375
transcript.pyannote[4260].end 25055.10284375
transcript.pyannote[4261].speaker SPEAKER_47
transcript.pyannote[4261].start 25057.09409375
transcript.pyannote[4261].end 25057.87034375
transcript.pyannote[4262].speaker SPEAKER_30
transcript.pyannote[4262].start 25057.87034375
transcript.pyannote[4262].end 25058.42721875
transcript.pyannote[4263].speaker SPEAKER_30
transcript.pyannote[4263].start 25058.46096875
transcript.pyannote[4263].end 25060.63784375
transcript.pyannote[4264].speaker SPEAKER_47
transcript.pyannote[4264].start 25060.75596875
transcript.pyannote[4264].end 25062.20721875
transcript.pyannote[4265].speaker SPEAKER_30
transcript.pyannote[4265].start 25061.46471875
transcript.pyannote[4265].end 25064.94096875
transcript.pyannote[4266].speaker SPEAKER_30
transcript.pyannote[4266].start 25065.37971875
transcript.pyannote[4266].end 25066.25721875
transcript.pyannote[4267].speaker SPEAKER_30
transcript.pyannote[4267].start 25067.74221875
transcript.pyannote[4267].end 25075.84221875
transcript.pyannote[4268].speaker SPEAKER_21
transcript.pyannote[4268].start 25076.23034375
transcript.pyannote[4268].end 25079.09909375
transcript.pyannote[4269].speaker SPEAKER_21
transcript.pyannote[4269].start 25079.62221875
transcript.pyannote[4269].end 25081.73159375
transcript.pyannote[4270].speaker SPEAKER_21
transcript.pyannote[4270].start 25082.55846875
transcript.pyannote[4270].end 25108.05659375
transcript.pyannote[4271].speaker SPEAKER_21
transcript.pyannote[4271].start 25108.10721875
transcript.pyannote[4271].end 25108.15784375
transcript.pyannote[4272].speaker SPEAKER_21
transcript.pyannote[4272].start 25108.22534375
transcript.pyannote[4272].end 25115.51534375
transcript.pyannote[4273].speaker SPEAKER_47
transcript.pyannote[4273].start 25113.05159375
transcript.pyannote[4273].end 25113.20346875
transcript.pyannote[4274].speaker SPEAKER_47
transcript.pyannote[4274].start 25116.46034375
transcript.pyannote[4274].end 25120.83096875
transcript.pyannote[4275].speaker SPEAKER_47
transcript.pyannote[4275].start 25121.75909375
transcript.pyannote[4275].end 25124.99909375
transcript.pyannote[4276].speaker SPEAKER_00
transcript.pyannote[4276].start 25122.02909375
transcript.pyannote[4276].end 25122.06284375
transcript.pyannote[4277].speaker SPEAKER_42
transcript.pyannote[4277].start 25122.06284375
transcript.pyannote[4277].end 25122.07971875
transcript.pyannote[4278].speaker SPEAKER_31
transcript.pyannote[4278].start 25122.07971875
transcript.pyannote[4278].end 25122.18096875
transcript.pyannote[4279].speaker SPEAKER_21
transcript.pyannote[4279].start 25122.18096875
transcript.pyannote[4279].end 25122.88971875
transcript.pyannote[4280].speaker SPEAKER_31
transcript.pyannote[4280].start 25122.88971875
transcript.pyannote[4280].end 25122.94034375
transcript.pyannote[4281].speaker SPEAKER_00
transcript.pyannote[4281].start 25122.94034375
transcript.pyannote[4281].end 25122.97409375
transcript.pyannote[4282].speaker SPEAKER_47
transcript.pyannote[4282].start 25125.04971875
transcript.pyannote[4282].end 25126.18034375
transcript.pyannote[4283].speaker SPEAKER_47
transcript.pyannote[4283].start 25126.75409375
transcript.pyannote[4283].end 25132.96409375
transcript.pyannote[4284].speaker SPEAKER_21
transcript.pyannote[4284].start 25132.35659375
transcript.pyannote[4284].end 25152.08346875
transcript.pyannote[4285].speaker SPEAKER_47
transcript.pyannote[4285].start 25134.34784375
transcript.pyannote[4285].end 25135.44471875
transcript.pyannote[4286].speaker SPEAKER_32
transcript.pyannote[4286].start 25151.23971875
transcript.pyannote[4286].end 25151.69534375
transcript.pyannote[4287].speaker SPEAKER_41
transcript.pyannote[4287].start 25151.69534375
transcript.pyannote[4287].end 25151.72909375
transcript.pyannote[4288].speaker SPEAKER_32
transcript.pyannote[4288].start 25151.72909375
transcript.pyannote[4288].end 25151.96534375
transcript.pyannote[4289].speaker SPEAKER_32
transcript.pyannote[4289].start 25152.53909375
transcript.pyannote[4289].end 25152.77534375
transcript.pyannote[4290].speaker SPEAKER_32
transcript.pyannote[4290].start 25153.61909375
transcript.pyannote[4290].end 25154.71596875
transcript.pyannote[4291].speaker SPEAKER_32
transcript.pyannote[4291].start 25156.38659375
transcript.pyannote[4291].end 25156.58909375
transcript.pyannote[4292].speaker SPEAKER_31
transcript.pyannote[4292].start 25156.58909375
transcript.pyannote[4292].end 25157.14596875
transcript.pyannote[4293].speaker SPEAKER_31
transcript.pyannote[4293].start 25157.44971875
transcript.pyannote[4293].end 25161.93846875
transcript.pyannote[4294].speaker SPEAKER_32
transcript.pyannote[4294].start 25160.47034375
transcript.pyannote[4294].end 25160.95971875
transcript.pyannote[4295].speaker SPEAKER_02
transcript.pyannote[4295].start 25161.93846875
transcript.pyannote[4295].end 25168.40159375
transcript.pyannote[4296].speaker SPEAKER_31
transcript.pyannote[4296].start 25161.95534375
transcript.pyannote[4296].end 25162.32659375
transcript.pyannote[4297].speaker SPEAKER_32
transcript.pyannote[4297].start 25162.32659375
transcript.pyannote[4297].end 25162.34346875
transcript.pyannote[4298].speaker SPEAKER_31
transcript.pyannote[4298].start 25162.34346875
transcript.pyannote[4298].end 25162.36034375
transcript.pyannote[4299].speaker SPEAKER_03
transcript.pyannote[4299].start 25167.11909375
transcript.pyannote[4299].end 25167.32159375
transcript.pyannote[4300].speaker SPEAKER_42
transcript.pyannote[4300].start 25167.32159375
transcript.pyannote[4300].end 25170.40971875
transcript.pyannote[4301].speaker SPEAKER_02
transcript.pyannote[4301].start 25169.75159375
transcript.pyannote[4301].end 25174.47659375
transcript.pyannote[4302].speaker SPEAKER_02
transcript.pyannote[4302].start 25175.32034375
transcript.pyannote[4302].end 25176.56909375
transcript.pyannote[4303].speaker SPEAKER_42
transcript.pyannote[4303].start 25176.18096875
transcript.pyannote[4303].end 25177.91909375
transcript.pyannote[4304].speaker SPEAKER_42
transcript.pyannote[4304].start 25178.44221875
transcript.pyannote[4304].end 25178.49284375
transcript.pyannote[4305].speaker SPEAKER_02
transcript.pyannote[4305].start 25178.49284375
transcript.pyannote[4305].end 25179.70784375
transcript.pyannote[4306].speaker SPEAKER_02
transcript.pyannote[4306].start 25180.06221875
transcript.pyannote[4306].end 25186.00221875
transcript.pyannote[4307].speaker SPEAKER_47
transcript.pyannote[4307].start 25185.02346875
transcript.pyannote[4307].end 25185.39471875
transcript.pyannote[4308].speaker SPEAKER_47
transcript.pyannote[4308].start 25185.76596875
transcript.pyannote[4308].end 25191.04784375
transcript.pyannote[4309].speaker SPEAKER_02
transcript.pyannote[4309].start 25187.14971875
transcript.pyannote[4309].end 25187.48721875
transcript.pyannote[4310].speaker SPEAKER_47
transcript.pyannote[4310].start 25191.23346875
transcript.pyannote[4310].end 25197.88221875
transcript.pyannote[4311].speaker SPEAKER_47
transcript.pyannote[4311].start 25198.47284375
transcript.pyannote[4311].end 25201.39221875
transcript.pyannote[4312].speaker SPEAKER_47
transcript.pyannote[4312].start 25201.93221875
transcript.pyannote[4312].end 25202.15159375
transcript.pyannote[4313].speaker SPEAKER_15
transcript.pyannote[4313].start 25202.15159375
transcript.pyannote[4313].end 25209.13784375
transcript.pyannote[4314].speaker SPEAKER_47
transcript.pyannote[4314].start 25207.60221875
transcript.pyannote[4314].end 25210.03221875
transcript.pyannote[4315].speaker SPEAKER_47
transcript.pyannote[4315].start 25211.09534375
transcript.pyannote[4315].end 25212.74909375
transcript.pyannote[4316].speaker SPEAKER_47
transcript.pyannote[4316].start 25213.67721875
transcript.pyannote[4316].end 25216.42784375
transcript.pyannote[4317].speaker SPEAKER_47
transcript.pyannote[4317].start 25217.86221875
transcript.pyannote[4317].end 25220.07284375
transcript.pyannote[4318].speaker SPEAKER_23
transcript.pyannote[4318].start 25223.71784375
transcript.pyannote[4318].end 25223.75159375
transcript.pyannote[4319].speaker SPEAKER_42
transcript.pyannote[4319].start 25223.75159375
transcript.pyannote[4319].end 25223.81909375
transcript.pyannote[4320].speaker SPEAKER_47
transcript.pyannote[4320].start 25225.18596875
transcript.pyannote[4320].end 25226.40096875
transcript.pyannote[4321].speaker SPEAKER_42
transcript.pyannote[4321].start 25226.55284375
transcript.pyannote[4321].end 25227.91971875
transcript.pyannote[4322].speaker SPEAKER_47
transcript.pyannote[4322].start 25228.69596875
transcript.pyannote[4322].end 25240.30596875
transcript.pyannote[4323].speaker SPEAKER_30
transcript.pyannote[4323].start 25240.35659375
transcript.pyannote[4323].end 25339.90221875
transcript.pyannote[4324].speaker SPEAKER_47
transcript.pyannote[4324].start 25341.45471875
transcript.pyannote[4324].end 25344.13784375
transcript.pyannote[4325].speaker SPEAKER_03
transcript.pyannote[4325].start 25345.15034375
transcript.pyannote[4325].end 25504.99034375
transcript.pyannote[4326].speaker SPEAKER_47
transcript.pyannote[4326].start 25506.50909375
transcript.pyannote[4326].end 25508.61846875
transcript.pyannote[4327].speaker SPEAKER_47
transcript.pyannote[4327].start 25508.83784375
transcript.pyannote[4327].end 25515.73971875
transcript.pyannote[4328].speaker SPEAKER_42
transcript.pyannote[4328].start 25516.75221875
transcript.pyannote[4328].end 25517.15721875
transcript.pyannote[4329].speaker SPEAKER_15
transcript.pyannote[4329].start 25521.57846875
transcript.pyannote[4329].end 25528.07534375
transcript.pyannote[4330].speaker SPEAKER_15
transcript.pyannote[4330].start 25528.24409375
transcript.pyannote[4330].end 25555.31159375
transcript.pyannote[4331].speaker SPEAKER_15
transcript.pyannote[4331].start 25556.10471875
transcript.pyannote[4331].end 25576.43909375
transcript.pyannote[4332].speaker SPEAKER_15
transcript.pyannote[4332].start 25576.84409375
transcript.pyannote[4332].end 25580.11784375
transcript.pyannote[4333].speaker SPEAKER_15
transcript.pyannote[4333].start 25580.59034375
transcript.pyannote[4333].end 25582.09221875
transcript.pyannote[4334].speaker SPEAKER_15
transcript.pyannote[4334].start 25582.58159375
transcript.pyannote[4334].end 25583.74596875
transcript.pyannote[4335].speaker SPEAKER_15
transcript.pyannote[4335].start 25583.77971875
transcript.pyannote[4335].end 25593.07784375
transcript.pyannote[4336].speaker SPEAKER_15
transcript.pyannote[4336].start 25593.43221875
transcript.pyannote[4336].end 25625.51159375
transcript.pyannote[4337].speaker SPEAKER_15
transcript.pyannote[4337].start 25626.01784375
transcript.pyannote[4337].end 25628.02596875
transcript.pyannote[4338].speaker SPEAKER_15
transcript.pyannote[4338].start 25628.27909375
transcript.pyannote[4338].end 25630.05096875
transcript.pyannote[4339].speaker SPEAKER_15
transcript.pyannote[4339].start 25631.53596875
transcript.pyannote[4339].end 25637.32409375
transcript.pyannote[4340].speaker SPEAKER_15
transcript.pyannote[4340].start 25638.03284375
transcript.pyannote[4340].end 25639.36596875
transcript.pyannote[4341].speaker SPEAKER_15
transcript.pyannote[4341].start 25640.10846875
transcript.pyannote[4341].end 25642.89284375
transcript.pyannote[4342].speaker SPEAKER_15
transcript.pyannote[4342].start 25644.66471875
transcript.pyannote[4342].end 25645.01909375
transcript.pyannote[4343].speaker SPEAKER_42
transcript.pyannote[4343].start 25644.74909375
transcript.pyannote[4343].end 25645.30596875
transcript.pyannote[4344].speaker SPEAKER_15
transcript.pyannote[4344].start 25645.30596875
transcript.pyannote[4344].end 25645.32284375
transcript.pyannote[4345].speaker SPEAKER_15
transcript.pyannote[4345].start 25645.33971875
transcript.pyannote[4345].end 25648.02284375
transcript.pyannote[4346].speaker SPEAKER_15
transcript.pyannote[4346].start 25648.59659375
transcript.pyannote[4346].end 25650.26721875
transcript.pyannote[4347].speaker SPEAKER_15
transcript.pyannote[4347].start 25652.05596875
transcript.pyannote[4347].end 25656.32534375
transcript.pyannote[4348].speaker SPEAKER_15
transcript.pyannote[4348].start 25659.12659375
transcript.pyannote[4348].end 25666.02846875
transcript.pyannote[4349].speaker SPEAKER_47
transcript.pyannote[4349].start 25666.28159375
transcript.pyannote[4349].end 25667.95221875
transcript.pyannote[4350].speaker SPEAKER_15
transcript.pyannote[4350].start 25666.46721875
transcript.pyannote[4350].end 25666.93971875
transcript.pyannote[4351].speaker SPEAKER_47
transcript.pyannote[4351].start 25668.69471875
transcript.pyannote[4351].end 25669.42034375
transcript.pyannote[4352].speaker SPEAKER_15
transcript.pyannote[4352].start 25670.23034375
transcript.pyannote[4352].end 25671.12471875
transcript.pyannote[4353].speaker SPEAKER_15
transcript.pyannote[4353].start 25672.42409375
transcript.pyannote[4353].end 25676.86221875
transcript.pyannote[4354].speaker SPEAKER_15
transcript.pyannote[4354].start 25676.96346875
transcript.pyannote[4354].end 25677.11534375
transcript.pyannote[4355].speaker SPEAKER_15
transcript.pyannote[4355].start 25677.14909375
transcript.pyannote[4355].end 25682.63346875
transcript.pyannote[4356].speaker SPEAKER_15
transcript.pyannote[4356].start 25683.22409375
transcript.pyannote[4356].end 25694.80034375
transcript.pyannote[4357].speaker SPEAKER_15
transcript.pyannote[4357].start 25695.32346875
transcript.pyannote[4357].end 25697.53409375
transcript.pyannote[4358].speaker SPEAKER_15
transcript.pyannote[4358].start 25698.04034375
transcript.pyannote[4358].end 25702.76534375
transcript.pyannote[4359].speaker SPEAKER_47
transcript.pyannote[4359].start 25702.91721875
transcript.pyannote[4359].end 25708.43534375
transcript.pyannote[4360].speaker SPEAKER_21
transcript.pyannote[4360].start 25708.55346875
transcript.pyannote[4360].end 25720.82159375
transcript.pyannote[4361].speaker SPEAKER_21
transcript.pyannote[4361].start 25721.20971875
transcript.pyannote[4361].end 25763.46471875
transcript.pyannote[4362].speaker SPEAKER_21
transcript.pyannote[4362].start 25763.98784375
transcript.pyannote[4362].end 25778.92221875
transcript.pyannote[4363].speaker SPEAKER_21
transcript.pyannote[4363].start 25779.12471875
transcript.pyannote[4363].end 25795.81409375
transcript.pyannote[4364].speaker SPEAKER_47
transcript.pyannote[4364].start 25796.28659375
transcript.pyannote[4364].end 25799.62784375
transcript.pyannote[4365].speaker SPEAKER_03
transcript.pyannote[4365].start 25799.76284375
transcript.pyannote[4365].end 25907.91471875
transcript.pyannote[4366].speaker SPEAKER_47
transcript.pyannote[4366].start 25908.47159375
transcript.pyannote[4366].end 25911.76221875
transcript.pyannote[4367].speaker SPEAKER_47
transcript.pyannote[4367].start 25912.04909375
transcript.pyannote[4367].end 25914.02346875
transcript.pyannote[4368].speaker SPEAKER_47
transcript.pyannote[4368].start 25914.20909375
transcript.pyannote[4368].end 25914.78284375
transcript.pyannote[4369].speaker SPEAKER_47
transcript.pyannote[4369].start 25916.48721875
transcript.pyannote[4369].end 25918.00596875
transcript.pyannote[4370].speaker SPEAKER_47
transcript.pyannote[4370].start 25918.90034375
transcript.pyannote[4370].end 25921.38096875
transcript.pyannote[4371].speaker SPEAKER_34
transcript.pyannote[4371].start 25923.89534375
transcript.pyannote[4371].end 25933.19346875
transcript.pyannote[4372].speaker SPEAKER_34
transcript.pyannote[4372].start 25933.36221875
transcript.pyannote[4372].end 25935.03284375
transcript.pyannote[4373].speaker SPEAKER_34
transcript.pyannote[4373].start 25936.43346875
transcript.pyannote[4373].end 25941.76596875
transcript.pyannote[4374].speaker SPEAKER_34
transcript.pyannote[4374].start 25945.76534375
transcript.pyannote[4374].end 25946.00159375
transcript.pyannote[4375].speaker SPEAKER_34
transcript.pyannote[4375].start 25946.30534375
transcript.pyannote[4375].end 25946.55846875
transcript.pyannote[4376].speaker SPEAKER_34
transcript.pyannote[4376].start 25947.58784375
transcript.pyannote[4376].end 25947.82409375
transcript.pyannote[4377].speaker SPEAKER_34
transcript.pyannote[4377].start 25948.00971875
transcript.pyannote[4377].end 25948.97159375
transcript.pyannote[4378].speaker SPEAKER_34
transcript.pyannote[4378].start 25950.27096875
transcript.pyannote[4378].end 25973.59221875
transcript.pyannote[4379].speaker SPEAKER_34
transcript.pyannote[4379].start 25974.41909375
transcript.pyannote[4379].end 26004.03471875
transcript.pyannote[4380].speaker SPEAKER_34
transcript.pyannote[4380].start 26005.04721875
transcript.pyannote[4380].end 26011.03784375
transcript.pyannote[4381].speaker SPEAKER_34
transcript.pyannote[4381].start 26011.35846875
transcript.pyannote[4381].end 26023.84596875
transcript.pyannote[4382].speaker SPEAKER_34
transcript.pyannote[4382].start 26024.31846875
transcript.pyannote[4382].end 26048.70284375
transcript.pyannote[4383].speaker SPEAKER_34
transcript.pyannote[4383].start 26049.15846875
transcript.pyannote[4383].end 26053.64721875
transcript.pyannote[4384].speaker SPEAKER_15
transcript.pyannote[4384].start 26056.97159375
transcript.pyannote[4384].end 26057.03909375
transcript.pyannote[4385].speaker SPEAKER_34
transcript.pyannote[4385].start 26058.50721875
transcript.pyannote[4385].end 26062.99596875
transcript.pyannote[4386].speaker SPEAKER_15
transcript.pyannote[4386].start 26059.11471875
transcript.pyannote[4386].end 26059.16534375
transcript.pyannote[4387].speaker SPEAKER_15
transcript.pyannote[4387].start 26059.85721875
transcript.pyannote[4387].end 26060.26221875
transcript.pyannote[4388].speaker SPEAKER_34
transcript.pyannote[4388].start 26063.04659375
transcript.pyannote[4388].end 26064.02534375
transcript.pyannote[4389].speaker SPEAKER_34
transcript.pyannote[4389].start 26064.78471875
transcript.pyannote[4389].end 26125.41659375
transcript.pyannote[4390].speaker SPEAKER_34
transcript.pyannote[4390].start 26125.83846875
transcript.pyannote[4390].end 26135.60909375
transcript.pyannote[4391].speaker SPEAKER_34
transcript.pyannote[4391].start 26135.71034375
transcript.pyannote[4391].end 26154.98159375
transcript.pyannote[4392].speaker SPEAKER_34
transcript.pyannote[4392].start 26155.38659375
transcript.pyannote[4392].end 26156.60159375
transcript.pyannote[4393].speaker SPEAKER_34
transcript.pyannote[4393].start 26158.01909375
transcript.pyannote[4393].end 26170.96221875
transcript.pyannote[4394].speaker SPEAKER_34
transcript.pyannote[4394].start 26171.11409375
transcript.pyannote[4394].end 26203.07534375
transcript.pyannote[4395].speaker SPEAKER_34
transcript.pyannote[4395].start 26203.29471875
transcript.pyannote[4395].end 26207.78346875
transcript.pyannote[4396].speaker SPEAKER_34
transcript.pyannote[4396].start 26208.74534375
transcript.pyannote[4396].end 26220.32159375
transcript.pyannote[4397].speaker SPEAKER_34
transcript.pyannote[4397].start 26220.60846875
transcript.pyannote[4397].end 26224.65846875
transcript.pyannote[4398].speaker SPEAKER_34
transcript.pyannote[4398].start 26225.11409375
transcript.pyannote[4398].end 26228.89409375
transcript.pyannote[4399].speaker SPEAKER_34
transcript.pyannote[4399].start 26229.92346875
transcript.pyannote[4399].end 26246.24159375
transcript.pyannote[4400].speaker SPEAKER_34
transcript.pyannote[4400].start 26246.84909375
transcript.pyannote[4400].end 26263.70721875
transcript.pyannote[4401].speaker SPEAKER_34
transcript.pyannote[4401].start 26264.17971875
transcript.pyannote[4401].end 26325.43596875
transcript.pyannote[4402].speaker SPEAKER_34
transcript.pyannote[4402].start 26326.80284375
transcript.pyannote[4402].end 26339.32409375
transcript.pyannote[4403].speaker SPEAKER_34
transcript.pyannote[4403].start 26340.79221875
transcript.pyannote[4403].end 26358.69659375
transcript.pyannote[4404].speaker SPEAKER_34
transcript.pyannote[4404].start 26359.30409375
transcript.pyannote[4404].end 26385.08909375
transcript.pyannote[4405].speaker SPEAKER_34
transcript.pyannote[4405].start 26385.44346875
transcript.pyannote[4405].end 26409.06846875
transcript.pyannote[4406].speaker SPEAKER_34
transcript.pyannote[4406].start 26411.66721875
transcript.pyannote[4406].end 26412.00471875
transcript.pyannote[4407].speaker SPEAKER_34
transcript.pyannote[4407].start 26412.27471875
transcript.pyannote[4407].end 26414.50221875
transcript.pyannote[4408].speaker SPEAKER_15
transcript.pyannote[4408].start 26413.86096875
transcript.pyannote[4408].end 26416.22346875
transcript.pyannote[4409].speaker SPEAKER_34
transcript.pyannote[4409].start 26416.18971875
transcript.pyannote[4409].end 26416.61159375
transcript.pyannote[4410].speaker SPEAKER_47
transcript.pyannote[4410].start 26416.61159375
transcript.pyannote[4410].end 26416.62846875
transcript.pyannote[4411].speaker SPEAKER_34
transcript.pyannote[4411].start 26417.08409375
transcript.pyannote[4411].end 26417.48909375
transcript.pyannote[4412].speaker SPEAKER_47
transcript.pyannote[4412].start 26419.63221875
transcript.pyannote[4412].end 26420.32409375
transcript.pyannote[4413].speaker SPEAKER_47
transcript.pyannote[4413].start 26420.67846875
transcript.pyannote[4413].end 26430.34784375
transcript.pyannote[4414].speaker SPEAKER_47
transcript.pyannote[4414].start 26430.58409375
transcript.pyannote[4414].end 26431.02284375
transcript.pyannote[4415].speaker SPEAKER_47
transcript.pyannote[4415].start 26433.90846875
transcript.pyannote[4415].end 26454.51284375
transcript.pyannote[4416].speaker SPEAKER_47
transcript.pyannote[4416].start 26454.76596875
transcript.pyannote[4416].end 26460.03096875
transcript.pyannote[4417].speaker SPEAKER_47
transcript.pyannote[4417].start 26464.18221875
transcript.pyannote[4417].end 26468.60346875
transcript.pyannote[4418].speaker SPEAKER_32
transcript.pyannote[4418].start 26470.00409375
transcript.pyannote[4418].end 26470.44284375
transcript.pyannote[4419].speaker SPEAKER_32
transcript.pyannote[4419].start 26471.20221875
transcript.pyannote[4419].end 26474.61096875
transcript.pyannote[4420].speaker SPEAKER_21
transcript.pyannote[4420].start 26475.25221875
transcript.pyannote[4420].end 26484.21284375
transcript.pyannote[4421].speaker SPEAKER_21
transcript.pyannote[4421].start 26484.44909375
transcript.pyannote[4421].end 26493.39284375
transcript.pyannote[4422].speaker SPEAKER_00
transcript.pyannote[4422].start 26490.99659375
transcript.pyannote[4422].end 26491.03034375
transcript.pyannote[4423].speaker SPEAKER_47
transcript.pyannote[4423].start 26491.03034375
transcript.pyannote[4423].end 26492.16096875
transcript.pyannote[4424].speaker SPEAKER_21
transcript.pyannote[4424].start 26493.46034375
transcript.pyannote[4424].end 26502.26909375
transcript.pyannote[4425].speaker SPEAKER_47
transcript.pyannote[4425].start 26494.91159375
transcript.pyannote[4425].end 26495.92409375
transcript.pyannote[4426].speaker SPEAKER_47
transcript.pyannote[4426].start 26496.07596875
transcript.pyannote[4426].end 26496.19409375
transcript.pyannote[4427].speaker SPEAKER_47
transcript.pyannote[4427].start 26500.39596875
transcript.pyannote[4427].end 26504.05784375
transcript.pyannote[4428].speaker SPEAKER_21
transcript.pyannote[4428].start 26504.49659375
transcript.pyannote[4428].end 26511.04409375
transcript.pyannote[4429].speaker SPEAKER_47
transcript.pyannote[4429].start 26508.20909375
transcript.pyannote[4429].end 26509.60971875
transcript.pyannote[4430].speaker SPEAKER_21
transcript.pyannote[4430].start 26514.80721875
transcript.pyannote[4430].end 26517.62534375
transcript.pyannote[4431].speaker SPEAKER_09
transcript.pyannote[4431].start 26516.89971875
transcript.pyannote[4431].end 26519.22846875
transcript.pyannote[4432].speaker SPEAKER_09
transcript.pyannote[4432].start 26520.00471875
transcript.pyannote[4432].end 26531.47971875
transcript.pyannote[4433].speaker SPEAKER_09
transcript.pyannote[4433].start 26532.61034375
transcript.pyannote[4433].end 26547.03846875
transcript.pyannote[4434].speaker SPEAKER_09
transcript.pyannote[4434].start 26547.42659375
transcript.pyannote[4434].end 26550.83534375
transcript.pyannote[4435].speaker SPEAKER_09
transcript.pyannote[4435].start 26551.13909375
transcript.pyannote[4435].end 26553.23159375
transcript.pyannote[4436].speaker SPEAKER_21
transcript.pyannote[4436].start 26552.13471875
transcript.pyannote[4436].end 26556.33659375
transcript.pyannote[4437].speaker SPEAKER_47
transcript.pyannote[4437].start 26553.23159375
transcript.pyannote[4437].end 26553.46784375
transcript.pyannote[4438].speaker SPEAKER_47
transcript.pyannote[4438].start 26556.72471875
transcript.pyannote[4438].end 26556.74159375
transcript.pyannote[4439].speaker SPEAKER_21
transcript.pyannote[4439].start 26556.74159375
transcript.pyannote[4439].end 26559.20534375
transcript.pyannote[4440].speaker SPEAKER_47
transcript.pyannote[4440].start 26556.75846875
transcript.pyannote[4440].end 26558.37846875
transcript.pyannote[4441].speaker SPEAKER_21
transcript.pyannote[4441].start 26559.82971875
transcript.pyannote[4441].end 26560.11659375
transcript.pyannote[4442].speaker SPEAKER_47
transcript.pyannote[4442].start 26560.11659375
transcript.pyannote[4442].end 26561.06159375
transcript.pyannote[4443].speaker SPEAKER_15
transcript.pyannote[4443].start 26563.27221875
transcript.pyannote[4443].end 26575.38846875
transcript.pyannote[4444].speaker SPEAKER_15
transcript.pyannote[4444].start 26578.72971875
transcript.pyannote[4444].end 26583.15096875
transcript.pyannote[4445].speaker SPEAKER_47
transcript.pyannote[4445].start 26582.84721875
transcript.pyannote[4445].end 26586.71159375
transcript.pyannote[4446].speaker SPEAKER_47
transcript.pyannote[4446].start 26587.04909375
transcript.pyannote[4446].end 26588.06159375
transcript.pyannote[4447].speaker SPEAKER_47
transcript.pyannote[4447].start 26588.88846875
transcript.pyannote[4447].end 26592.02721875
transcript.pyannote[4448].speaker SPEAKER_30
transcript.pyannote[4448].start 26592.70221875
transcript.pyannote[4448].end 26592.95534375
transcript.pyannote[4449].speaker SPEAKER_47
transcript.pyannote[4449].start 26593.24221875
transcript.pyannote[4449].end 26593.61346875
transcript.pyannote[4450].speaker SPEAKER_30
transcript.pyannote[4450].start 26593.74846875
transcript.pyannote[4450].end 26596.97159375
transcript.pyannote[4451].speaker SPEAKER_47
transcript.pyannote[4451].start 26595.79034375
transcript.pyannote[4451].end 26599.36784375
transcript.pyannote[4452].speaker SPEAKER_30
transcript.pyannote[4452].start 26598.38909375
transcript.pyannote[4452].end 26599.09784375
transcript.pyannote[4453].speaker SPEAKER_09
transcript.pyannote[4453].start 26599.09784375
transcript.pyannote[4453].end 26599.13159375
transcript.pyannote[4454].speaker SPEAKER_47
transcript.pyannote[4454].start 26600.61659375
transcript.pyannote[4454].end 26603.09721875
transcript.pyannote[4455].speaker SPEAKER_09
transcript.pyannote[4455].start 26605.05471875
transcript.pyannote[4455].end 26605.07159375
transcript.pyannote[4456].speaker SPEAKER_30
transcript.pyannote[4456].start 26605.07159375
transcript.pyannote[4456].end 26605.74659375
transcript.pyannote[4457].speaker SPEAKER_47
transcript.pyannote[4457].start 26605.18971875
transcript.pyannote[4457].end 26605.66221875
transcript.pyannote[4458].speaker SPEAKER_47
transcript.pyannote[4458].start 26606.35409375
transcript.pyannote[4458].end 26608.00784375
transcript.pyannote[4459].speaker SPEAKER_30
transcript.pyannote[4459].start 26607.18096875
transcript.pyannote[4459].end 26621.49096875
transcript.pyannote[4460].speaker SPEAKER_09
transcript.pyannote[4460].start 26609.93159375
transcript.pyannote[4460].end 26609.96534375
transcript.pyannote[4461].speaker SPEAKER_47
transcript.pyannote[4461].start 26609.96534375
transcript.pyannote[4461].end 26610.03284375
transcript.pyannote[4462].speaker SPEAKER_09
transcript.pyannote[4462].start 26610.03284375
transcript.pyannote[4462].end 26610.69096875
transcript.pyannote[4463].speaker SPEAKER_47
transcript.pyannote[4463].start 26613.07034375
transcript.pyannote[4463].end 26613.10409375
transcript.pyannote[4464].speaker SPEAKER_09
transcript.pyannote[4464].start 26613.10409375
transcript.pyannote[4464].end 26613.62721875
transcript.pyannote[4465].speaker SPEAKER_09
transcript.pyannote[4465].start 26617.49159375
transcript.pyannote[4465].end 26618.45346875
transcript.pyannote[4466].speaker SPEAKER_42
transcript.pyannote[4466].start 26621.96346875
transcript.pyannote[4466].end 26622.03096875
transcript.pyannote[4467].speaker SPEAKER_47
transcript.pyannote[4467].start 26622.03096875
transcript.pyannote[4467].end 26622.23346875
transcript.pyannote[4468].speaker SPEAKER_09
transcript.pyannote[4468].start 26623.29659375
transcript.pyannote[4468].end 26629.15221875
transcript.pyannote[4469].speaker SPEAKER_47
transcript.pyannote[4469].start 26629.27034375
transcript.pyannote[4469].end 26654.32971875
transcript.pyannote[4470].speaker SPEAKER_47
transcript.pyannote[4470].start 26656.25346875
transcript.pyannote[4470].end 26658.48096875
transcript.pyannote[4471].speaker SPEAKER_47
transcript.pyannote[4471].start 26660.18534375
transcript.pyannote[4471].end 26661.06284375
transcript.pyannote[4472].speaker SPEAKER_25
transcript.pyannote[4472].start 26661.33284375
transcript.pyannote[4472].end 26670.91784375
transcript.pyannote[4473].speaker SPEAKER_25
transcript.pyannote[4473].start 26671.67721875
transcript.pyannote[4473].end 26685.80159375
transcript.pyannote[4474].speaker SPEAKER_47
transcript.pyannote[4474].start 26686.86471875
transcript.pyannote[4474].end 26692.75409375
transcript.pyannote[4475].speaker SPEAKER_01
transcript.pyannote[4475].start 26692.21409375
transcript.pyannote[4475].end 26692.70346875
transcript.pyannote[4476].speaker SPEAKER_01
transcript.pyannote[4476].start 26692.75409375
transcript.pyannote[4476].end 26692.80471875
transcript.pyannote[4477].speaker SPEAKER_01
transcript.pyannote[4477].start 26694.96471875
transcript.pyannote[4477].end 26695.03221875
transcript.pyannote[4478].speaker SPEAKER_01
transcript.pyannote[4478].start 26696.97284375
transcript.pyannote[4478].end 26697.02346875
transcript.pyannote[4479].speaker SPEAKER_15
transcript.pyannote[4479].start 26700.75284375
transcript.pyannote[4479].end 26702.92971875
transcript.pyannote[4480].speaker SPEAKER_15
transcript.pyannote[4480].start 26703.73971875
transcript.pyannote[4480].end 26717.45909375
transcript.pyannote[4481].speaker SPEAKER_15
transcript.pyannote[4481].start 26717.83034375
transcript.pyannote[4481].end 26719.09596875
transcript.pyannote[4482].speaker SPEAKER_15
transcript.pyannote[4482].start 26719.23096875
transcript.pyannote[4482].end 26719.87221875
transcript.pyannote[4483].speaker SPEAKER_15
transcript.pyannote[4483].start 26720.04096875
transcript.pyannote[4483].end 26721.00284375
transcript.pyannote[4484].speaker SPEAKER_15
transcript.pyannote[4484].start 26721.59346875
transcript.pyannote[4484].end 26722.33596875
transcript.pyannote[4485].speaker SPEAKER_15
transcript.pyannote[4485].start 26722.43721875
transcript.pyannote[4485].end 26725.84596875
transcript.pyannote[4486].speaker SPEAKER_15
transcript.pyannote[4486].start 26726.63909375
transcript.pyannote[4486].end 26733.59159375
transcript.pyannote[4487].speaker SPEAKER_15
transcript.pyannote[4487].start 26734.28346875
transcript.pyannote[4487].end 26734.70534375
transcript.pyannote[4488].speaker SPEAKER_15
transcript.pyannote[4488].start 26734.90784375
transcript.pyannote[4488].end 26746.82159375
transcript.pyannote[4489].speaker SPEAKER_47
transcript.pyannote[4489].start 26752.69409375
transcript.pyannote[4489].end 26754.21284375
transcript.pyannote[4490].speaker SPEAKER_21
transcript.pyannote[4490].start 26754.21284375
transcript.pyannote[4490].end 26764.16909375
transcript.pyannote[4491].speaker SPEAKER_47
transcript.pyannote[4491].start 26754.76971875
transcript.pyannote[4491].end 26756.27159375
transcript.pyannote[4492].speaker SPEAKER_21
transcript.pyannote[4492].start 26764.45596875
transcript.pyannote[4492].end 26789.73471875
transcript.pyannote[4493].speaker SPEAKER_47
transcript.pyannote[4493].start 26791.06784375
transcript.pyannote[4493].end 26795.06721875
transcript.pyannote[4494].speaker SPEAKER_47
transcript.pyannote[4494].start 26797.09221875
transcript.pyannote[4494].end 26798.20596875
transcript.pyannote[4495].speaker SPEAKER_11
transcript.pyannote[4495].start 26799.50534375
transcript.pyannote[4495].end 26800.97346875
transcript.pyannote[4496].speaker SPEAKER_47
transcript.pyannote[4496].start 26801.31096875
transcript.pyannote[4496].end 26807.62221875
transcript.pyannote[4497].speaker SPEAKER_47
transcript.pyannote[4497].start 26809.61346875
transcript.pyannote[4497].end 26812.14471875
transcript.pyannote[4498].speaker SPEAKER_47
transcript.pyannote[4498].start 26812.65096875
transcript.pyannote[4498].end 26813.07284375
transcript.pyannote[4499].speaker SPEAKER_47
transcript.pyannote[4499].start 26813.47784375
transcript.pyannote[4499].end 26819.85659375
transcript.pyannote[4500].speaker SPEAKER_34
transcript.pyannote[4500].start 26820.86909375
transcript.pyannote[4500].end 26845.72596875
transcript.pyannote[4501].speaker SPEAKER_34
transcript.pyannote[4501].start 26847.22784375
transcript.pyannote[4501].end 26851.81784375
transcript.pyannote[4502].speaker SPEAKER_42
transcript.pyannote[4502].start 26851.81784375
transcript.pyannote[4502].end 26852.07096875
transcript.pyannote[4503].speaker SPEAKER_34
transcript.pyannote[4503].start 26852.07096875
transcript.pyannote[4503].end 26854.14659375
transcript.pyannote[4504].speaker SPEAKER_34
transcript.pyannote[4504].start 26863.71471875
transcript.pyannote[4504].end 26912.17971875
transcript.pyannote[4505].speaker SPEAKER_34
transcript.pyannote[4505].start 26913.07409375
transcript.pyannote[4505].end 26913.81659375
transcript.pyannote[4506].speaker SPEAKER_34
transcript.pyannote[4506].start 26914.55909375
transcript.pyannote[4506].end 26981.55284375
transcript.pyannote[4507].speaker SPEAKER_34
transcript.pyannote[4507].start 26981.68784375
transcript.pyannote[4507].end 26986.81784375
transcript.pyannote[4508].speaker SPEAKER_34
transcript.pyannote[4508].start 26987.13846875
transcript.pyannote[4508].end 26995.93034375
transcript.pyannote[4509].speaker SPEAKER_21
transcript.pyannote[4509].start 26996.28471875
transcript.pyannote[4509].end 27004.43534375
transcript.pyannote[4510].speaker SPEAKER_21
transcript.pyannote[4510].start 27005.48159375
transcript.pyannote[4510].end 27022.18784375
transcript.pyannote[4511].speaker SPEAKER_21
transcript.pyannote[4511].start 27022.81221875
transcript.pyannote[4511].end 27040.02471875
transcript.pyannote[4512].speaker SPEAKER_21
transcript.pyannote[4512].start 27040.32846875
transcript.pyannote[4512].end 27046.96034375
transcript.pyannote[4513].speaker SPEAKER_21
transcript.pyannote[4513].start 27047.43284375
transcript.pyannote[4513].end 27064.64534375
transcript.pyannote[4514].speaker SPEAKER_15
transcript.pyannote[4514].start 27065.48909375
transcript.pyannote[4514].end 27070.80471875
transcript.pyannote[4515].speaker SPEAKER_47
transcript.pyannote[4515].start 27066.34971875
transcript.pyannote[4515].end 27066.50159375
transcript.pyannote[4516].speaker SPEAKER_21
transcript.pyannote[4516].start 27066.50159375
transcript.pyannote[4516].end 27066.61971875
transcript.pyannote[4517].speaker SPEAKER_47
transcript.pyannote[4517].start 27066.61971875
transcript.pyannote[4517].end 27066.70409375
transcript.pyannote[4518].speaker SPEAKER_15
transcript.pyannote[4518].start 27072.52596875
transcript.pyannote[4518].end 27079.52909375
transcript.pyannote[4519].speaker SPEAKER_42
transcript.pyannote[4519].start 27079.52909375
transcript.pyannote[4519].end 27082.06034375
transcript.pyannote[4520].speaker SPEAKER_34
transcript.pyannote[4520].start 27082.06034375
transcript.pyannote[4520].end 27082.07721875
transcript.pyannote[4521].speaker SPEAKER_15
transcript.pyannote[4521].start 27082.33034375
transcript.pyannote[4521].end 27084.49034375
transcript.pyannote[4522].speaker SPEAKER_34
transcript.pyannote[4522].start 27084.57471875
transcript.pyannote[4522].end 27089.33346875
transcript.pyannote[4523].speaker SPEAKER_15
transcript.pyannote[4523].start 27089.53596875
transcript.pyannote[4523].end 27094.34534375
transcript.pyannote[4524].speaker SPEAKER_15
transcript.pyannote[4524].start 27094.86846875
transcript.pyannote[4524].end 27095.39159375
transcript.pyannote[4525].speaker SPEAKER_34
transcript.pyannote[4525].start 27095.67846875
transcript.pyannote[4525].end 27104.04846875
transcript.pyannote[4526].speaker SPEAKER_15
transcript.pyannote[4526].start 27103.76159375
transcript.pyannote[4526].end 27110.19096875
transcript.pyannote[4527].speaker SPEAKER_34
transcript.pyannote[4527].start 27110.42721875
transcript.pyannote[4527].end 27113.19471875
transcript.pyannote[4528].speaker SPEAKER_15
transcript.pyannote[4528].start 27112.80659375
transcript.pyannote[4528].end 27114.25784375
transcript.pyannote[4529].speaker SPEAKER_34
transcript.pyannote[4529].start 27114.83159375
transcript.pyannote[4529].end 27122.13846875
transcript.pyannote[4530].speaker SPEAKER_15
transcript.pyannote[4530].start 27117.85221875
transcript.pyannote[4530].end 27118.49346875
transcript.pyannote[4531].speaker SPEAKER_15
transcript.pyannote[4531].start 27121.26096875
transcript.pyannote[4531].end 27122.77971875
transcript.pyannote[4532].speaker SPEAKER_34
transcript.pyannote[4532].start 27123.18471875
transcript.pyannote[4532].end 27124.06221875
transcript.pyannote[4533].speaker SPEAKER_15
transcript.pyannote[4533].start 27124.19721875
transcript.pyannote[4533].end 27126.08721875
transcript.pyannote[4534].speaker SPEAKER_15
transcript.pyannote[4534].start 27126.61034375
transcript.pyannote[4534].end 27130.60971875
transcript.pyannote[4535].speaker SPEAKER_34
transcript.pyannote[4535].start 27130.60971875
transcript.pyannote[4535].end 27134.08596875
transcript.pyannote[4536].speaker SPEAKER_34
transcript.pyannote[4536].start 27134.77784375
transcript.pyannote[4536].end 27152.14221875
transcript.pyannote[4537].speaker SPEAKER_15
transcript.pyannote[4537].start 27150.23534375
transcript.pyannote[4537].end 27158.23409375
transcript.pyannote[4538].speaker SPEAKER_34
transcript.pyannote[4538].start 27152.73284375
transcript.pyannote[4538].end 27154.23471875
transcript.pyannote[4539].speaker SPEAKER_34
transcript.pyannote[4539].start 27158.33534375
transcript.pyannote[4539].end 27162.97596875
transcript.pyannote[4540].speaker SPEAKER_15
transcript.pyannote[4540].start 27158.84159375
transcript.pyannote[4540].end 27160.30971875
transcript.pyannote[4541].speaker SPEAKER_15
transcript.pyannote[4541].start 27161.28846875
transcript.pyannote[4541].end 27163.51596875
transcript.pyannote[4542].speaker SPEAKER_34
transcript.pyannote[4542].start 27163.51596875
transcript.pyannote[4542].end 27169.08471875
transcript.pyannote[4543].speaker SPEAKER_34
transcript.pyannote[4543].start 27169.38846875
transcript.pyannote[4543].end 27183.41159375
transcript.pyannote[4544].speaker SPEAKER_00
transcript.pyannote[4544].start 27172.20659375
transcript.pyannote[4544].end 27172.22346875
transcript.pyannote[4545].speaker SPEAKER_23
transcript.pyannote[4545].start 27172.22346875
transcript.pyannote[4545].end 27172.34159375
transcript.pyannote[4546].speaker SPEAKER_42
transcript.pyannote[4546].start 27172.34159375
transcript.pyannote[4546].end 27172.52721875
transcript.pyannote[4547].speaker SPEAKER_00
transcript.pyannote[4547].start 27172.52721875
transcript.pyannote[4547].end 27172.54409375
transcript.pyannote[4548].speaker SPEAKER_15
transcript.pyannote[4548].start 27182.23034375
transcript.pyannote[4548].end 27194.02596875
transcript.pyannote[4549].speaker SPEAKER_15
transcript.pyannote[4549].start 27195.00471875
transcript.pyannote[4549].end 27208.38659375
transcript.pyannote[4550].speaker SPEAKER_00
transcript.pyannote[4550].start 27195.27471875
transcript.pyannote[4550].end 27195.81471875
transcript.pyannote[4551].speaker SPEAKER_15
transcript.pyannote[4551].start 27208.48784375
transcript.pyannote[4551].end 27219.33846875
transcript.pyannote[4552].speaker SPEAKER_15
transcript.pyannote[4552].start 27219.47346875
transcript.pyannote[4552].end 27220.35096875
transcript.pyannote[4553].speaker SPEAKER_34
transcript.pyannote[4553].start 27220.67159375
transcript.pyannote[4553].end 27224.48534375
transcript.pyannote[4554].speaker SPEAKER_15
transcript.pyannote[4554].start 27224.48534375
transcript.pyannote[4554].end 27224.67096875
transcript.pyannote[4555].speaker SPEAKER_34
transcript.pyannote[4555].start 27225.70034375
transcript.pyannote[4555].end 27226.66221875
transcript.pyannote[4556].speaker SPEAKER_34
transcript.pyannote[4556].start 27227.40471875
transcript.pyannote[4556].end 27228.72096875
transcript.pyannote[4557].speaker SPEAKER_28
transcript.pyannote[4557].start 27233.73284375
transcript.pyannote[4557].end 27233.74971875
transcript.pyannote[4558].speaker SPEAKER_30
transcript.pyannote[4558].start 27233.74971875
transcript.pyannote[4558].end 27234.22221875
transcript.pyannote[4559].speaker SPEAKER_30
transcript.pyannote[4559].start 27234.89721875
transcript.pyannote[4559].end 27235.80846875
transcript.pyannote[4560].speaker SPEAKER_30
transcript.pyannote[4560].start 27238.37346875
transcript.pyannote[4560].end 27238.76159375
transcript.pyannote[4561].speaker SPEAKER_30
transcript.pyannote[4561].start 27239.75721875
transcript.pyannote[4561].end 27243.41909375
transcript.pyannote[4562].speaker SPEAKER_30
transcript.pyannote[4562].start 27244.21221875
transcript.pyannote[4562].end 27247.57034375
transcript.pyannote[4563].speaker SPEAKER_30
transcript.pyannote[4563].start 27248.02596875
transcript.pyannote[4563].end 27253.18971875
transcript.pyannote[4564].speaker SPEAKER_30
transcript.pyannote[4564].start 27254.26971875
transcript.pyannote[4564].end 27255.34971875
transcript.pyannote[4565].speaker SPEAKER_47
transcript.pyannote[4565].start 27256.48034375
transcript.pyannote[4565].end 27257.35784375
transcript.pyannote[4566].speaker SPEAKER_47
transcript.pyannote[4566].start 27258.33659375
transcript.pyannote[4566].end 27259.88909375
transcript.pyannote[4567].speaker SPEAKER_30
transcript.pyannote[4567].start 27258.70784375
transcript.pyannote[4567].end 27259.26471875
transcript.pyannote[4568].speaker SPEAKER_47
transcript.pyannote[4568].start 27260.37846875
transcript.pyannote[4568].end 27319.15409375
transcript.pyannote[4569].speaker SPEAKER_47
transcript.pyannote[4569].start 27319.50846875
transcript.pyannote[4569].end 27322.64721875
transcript.pyannote[4570].speaker SPEAKER_30
transcript.pyannote[4570].start 27321.02721875
transcript.pyannote[4570].end 27327.97971875
transcript.pyannote[4571].speaker SPEAKER_47
transcript.pyannote[4571].start 27328.19909375
transcript.pyannote[4571].end 27330.42659375
transcript.pyannote[4572].speaker SPEAKER_30
transcript.pyannote[4572].start 27329.88659375
transcript.pyannote[4572].end 27330.32534375
transcript.pyannote[4573].speaker SPEAKER_47
transcript.pyannote[4573].start 27331.13534375
transcript.pyannote[4573].end 27332.92409375
transcript.pyannote[4574].speaker SPEAKER_47
transcript.pyannote[4574].start 27333.53159375
transcript.pyannote[4574].end 27348.51659375
transcript.pyannote[4575].speaker SPEAKER_30
transcript.pyannote[4575].start 27333.59909375
transcript.pyannote[4575].end 27335.08409375
transcript.pyannote[4576].speaker SPEAKER_47
transcript.pyannote[4576].start 27349.61346875
transcript.pyannote[4576].end 27354.11909375
transcript.pyannote[4577].speaker SPEAKER_35
transcript.pyannote[4577].start 27354.79409375
transcript.pyannote[4577].end 27355.80659375
transcript.pyannote[4578].speaker SPEAKER_42
transcript.pyannote[4578].start 27355.80659375
transcript.pyannote[4578].end 27355.85721875
transcript.pyannote[4579].speaker SPEAKER_47
transcript.pyannote[4579].start 27355.84034375
transcript.pyannote[4579].end 27387.71721875
transcript.pyannote[4580].speaker SPEAKER_35
transcript.pyannote[4580].start 27355.85721875
transcript.pyannote[4580].end 27355.89096875
transcript.pyannote[4581].speaker SPEAKER_08
transcript.pyannote[4581].start 27389.38784375
transcript.pyannote[4581].end 27397.84221875
transcript.pyannote[4582].speaker SPEAKER_08
transcript.pyannote[4582].start 27397.96034375
transcript.pyannote[4582].end 27411.56159375
transcript.pyannote[4583].speaker SPEAKER_08
transcript.pyannote[4583].start 27411.78096875
transcript.pyannote[4583].end 27427.17096875
transcript.pyannote[4584].speaker SPEAKER_08
transcript.pyannote[4584].start 27427.57596875
transcript.pyannote[4584].end 27493.20284375
transcript.pyannote[4585].speaker SPEAKER_47
transcript.pyannote[4585].start 27493.82721875
transcript.pyannote[4585].end 27497.79284375
transcript.pyannote[4586].speaker SPEAKER_08
transcript.pyannote[4586].start 27497.75909375
transcript.pyannote[4586].end 27497.77596875
transcript.pyannote[4587].speaker SPEAKER_15
transcript.pyannote[4587].start 27497.77596875
transcript.pyannote[4587].end 27503.73284375
transcript.pyannote[4588].speaker SPEAKER_08
transcript.pyannote[4588].start 27504.35721875
transcript.pyannote[4588].end 27504.61034375
transcript.pyannote[4589].speaker SPEAKER_15
transcript.pyannote[4589].start 27504.61034375
transcript.pyannote[4589].end 27504.67784375
transcript.pyannote[4590].speaker SPEAKER_08
transcript.pyannote[4590].start 27504.67784375
transcript.pyannote[4590].end 27527.03721875
transcript.pyannote[4591].speaker SPEAKER_15
transcript.pyannote[4591].start 27505.30221875
transcript.pyannote[4591].end 27506.44971875
transcript.pyannote[4592].speaker SPEAKER_00
transcript.pyannote[4592].start 27512.08596875
transcript.pyannote[4592].end 27512.15346875
transcript.pyannote[4593].speaker SPEAKER_15
transcript.pyannote[4593].start 27512.15346875
transcript.pyannote[4593].end 27512.62596875
transcript.pyannote[4594].speaker SPEAKER_00
transcript.pyannote[4594].start 27512.62596875
transcript.pyannote[4594].end 27512.71034375
transcript.pyannote[4595].speaker SPEAKER_00
transcript.pyannote[4595].start 27513.62159375
transcript.pyannote[4595].end 27513.68909375
transcript.pyannote[4596].speaker SPEAKER_15
transcript.pyannote[4596].start 27513.68909375
transcript.pyannote[4596].end 27513.79034375
transcript.pyannote[4597].speaker SPEAKER_00
transcript.pyannote[4597].start 27513.79034375
transcript.pyannote[4597].end 27513.84096875
transcript.pyannote[4598].speaker SPEAKER_15
transcript.pyannote[4598].start 27527.03721875
transcript.pyannote[4598].end 27529.29846875
transcript.pyannote[4599].speaker SPEAKER_15
transcript.pyannote[4599].start 27529.92284375
transcript.pyannote[4599].end 27532.97721875
transcript.pyannote[4600].speaker SPEAKER_08
transcript.pyannote[4600].start 27532.97721875
transcript.pyannote[4600].end 27569.81534375
transcript.pyannote[4601].speaker SPEAKER_15
transcript.pyannote[4601].start 27535.08659375
transcript.pyannote[4601].end 27535.35659375
transcript.pyannote[4602].speaker SPEAKER_15
transcript.pyannote[4602].start 27537.43221875
transcript.pyannote[4602].end 27538.79909375
transcript.pyannote[4603].speaker SPEAKER_15
transcript.pyannote[4603].start 27538.86659375
transcript.pyannote[4603].end 27539.72721875
transcript.pyannote[4604].speaker SPEAKER_15
transcript.pyannote[4604].start 27569.81534375
transcript.pyannote[4604].end 27569.83221875
transcript.pyannote[4605].speaker SPEAKER_15
transcript.pyannote[4605].start 27570.35534375
transcript.pyannote[4605].end 27580.64909375
transcript.pyannote[4606].speaker SPEAKER_15
transcript.pyannote[4606].start 27581.29034375
transcript.pyannote[4606].end 27582.70784375
transcript.pyannote[4607].speaker SPEAKER_15
transcript.pyannote[4607].start 27583.26471875
transcript.pyannote[4607].end 27584.66534375
transcript.pyannote[4608].speaker SPEAKER_15
transcript.pyannote[4608].start 27584.88471875
transcript.pyannote[4608].end 27585.54284375
transcript.pyannote[4609].speaker SPEAKER_15
transcript.pyannote[4609].start 27585.84659375
transcript.pyannote[4609].end 27586.50471875
transcript.pyannote[4610].speaker SPEAKER_15
transcript.pyannote[4610].start 27586.74096875
transcript.pyannote[4610].end 27587.39909375
transcript.pyannote[4611].speaker SPEAKER_15
transcript.pyannote[4611].start 27588.24284375
transcript.pyannote[4611].end 27590.97659375
transcript.pyannote[4612].speaker SPEAKER_08
transcript.pyannote[4612].start 27590.97659375
transcript.pyannote[4612].end 27591.04409375
transcript.pyannote[4613].speaker SPEAKER_15
transcript.pyannote[4613].start 27591.04409375
transcript.pyannote[4613].end 27593.72721875
transcript.pyannote[4614].speaker SPEAKER_08
transcript.pyannote[4614].start 27592.03971875
transcript.pyannote[4614].end 27607.02471875
transcript.pyannote[4615].speaker SPEAKER_15
transcript.pyannote[4615].start 27607.02471875
transcript.pyannote[4615].end 27609.35346875
transcript.pyannote[4616].speaker SPEAKER_21
transcript.pyannote[4616].start 27615.15846875
transcript.pyannote[4616].end 27615.71534375
transcript.pyannote[4617].speaker SPEAKER_42
transcript.pyannote[4617].start 27615.71534375
transcript.pyannote[4617].end 27615.83346875
transcript.pyannote[4618].speaker SPEAKER_21
transcript.pyannote[4618].start 27615.83346875
transcript.pyannote[4618].end 27615.86721875
transcript.pyannote[4619].speaker SPEAKER_21
transcript.pyannote[4619].start 27616.67721875
transcript.pyannote[4619].end 27623.32596875
transcript.pyannote[4620].speaker SPEAKER_21
transcript.pyannote[4620].start 27623.78159375
transcript.pyannote[4620].end 27625.75596875
transcript.pyannote[4621].speaker SPEAKER_21
transcript.pyannote[4621].start 27626.70096875
transcript.pyannote[4621].end 27628.70909375
transcript.pyannote[4622].speaker SPEAKER_21
transcript.pyannote[4622].start 27630.36284375
transcript.pyannote[4622].end 27631.93221875
transcript.pyannote[4623].speaker SPEAKER_21
transcript.pyannote[4623].start 27633.77159375
transcript.pyannote[4623].end 27637.58534375
transcript.pyannote[4624].speaker SPEAKER_42
transcript.pyannote[4624].start 27633.82221875
transcript.pyannote[4624].end 27636.26909375
transcript.pyannote[4625].speaker SPEAKER_42
transcript.pyannote[4625].start 27636.72471875
transcript.pyannote[4625].end 27637.55159375
transcript.pyannote[4626].speaker SPEAKER_42
transcript.pyannote[4626].start 27637.58534375
transcript.pyannote[4626].end 27637.99034375
transcript.pyannote[4627].speaker SPEAKER_21
transcript.pyannote[4627].start 27637.99034375
transcript.pyannote[4627].end 27646.71471875
transcript.pyannote[4628].speaker SPEAKER_21
transcript.pyannote[4628].start 27646.93409375
transcript.pyannote[4628].end 27651.28784375
transcript.pyannote[4629].speaker SPEAKER_21
transcript.pyannote[4629].start 27651.99659375
transcript.pyannote[4629].end 27668.43284375
transcript.pyannote[4630].speaker SPEAKER_21
transcript.pyannote[4630].start 27668.78721875
transcript.pyannote[4630].end 27693.12096875
transcript.pyannote[4631].speaker SPEAKER_47
transcript.pyannote[4631].start 27691.78784375
transcript.pyannote[4631].end 27692.12534375
transcript.pyannote[4632].speaker SPEAKER_47
transcript.pyannote[4632].start 27692.51346875
transcript.pyannote[4632].end 27703.34721875
transcript.pyannote[4633].speaker SPEAKER_47
transcript.pyannote[4633].start 27703.66784375
transcript.pyannote[4633].end 27716.02034375
transcript.pyannote[4634].speaker SPEAKER_47
transcript.pyannote[4634].start 27716.59409375
transcript.pyannote[4634].end 27720.55971875
transcript.pyannote[4635].speaker SPEAKER_47
transcript.pyannote[4635].start 27720.94784375
transcript.pyannote[4635].end 27725.08221875
transcript.pyannote[4636].speaker SPEAKER_47
transcript.pyannote[4636].start 27725.92596875
transcript.pyannote[4636].end 27730.06034375
transcript.pyannote[4637].speaker SPEAKER_15
transcript.pyannote[4637].start 27730.78596875
transcript.pyannote[4637].end 27731.17409375
transcript.pyannote[4638].speaker SPEAKER_15
transcript.pyannote[4638].start 27731.54534375
transcript.pyannote[4638].end 27735.56159375
transcript.pyannote[4639].speaker SPEAKER_47
transcript.pyannote[4639].start 27735.64596875
transcript.pyannote[4639].end 27738.59909375
transcript.pyannote[4640].speaker SPEAKER_47
transcript.pyannote[4640].start 27738.71721875
transcript.pyannote[4640].end 27746.83409375
transcript.pyannote[4641].speaker SPEAKER_32
transcript.pyannote[4641].start 27746.49659375
transcript.pyannote[4641].end 27746.74971875
transcript.pyannote[4642].speaker SPEAKER_42
transcript.pyannote[4642].start 27746.83409375
transcript.pyannote[4642].end 27746.91846875
transcript.pyannote[4643].speaker SPEAKER_32
transcript.pyannote[4643].start 27746.91846875
transcript.pyannote[4643].end 27747.03659375
transcript.pyannote[4644].speaker SPEAKER_32
transcript.pyannote[4644].start 27747.72846875
transcript.pyannote[4644].end 27754.52909375
transcript.pyannote[4645].speaker SPEAKER_32
transcript.pyannote[4645].start 27754.74846875
transcript.pyannote[4645].end 27754.79909375
transcript.pyannote[4646].speaker SPEAKER_34
transcript.pyannote[4646].start 27754.79909375
transcript.pyannote[4646].end 27771.64034375
transcript.pyannote[4647].speaker SPEAKER_42
transcript.pyannote[4647].start 27772.95659375
transcript.pyannote[4647].end 27772.97346875
transcript.pyannote[4648].speaker SPEAKER_34
transcript.pyannote[4648].start 27772.97346875
transcript.pyannote[4648].end 27773.02409375
transcript.pyannote[4649].speaker SPEAKER_42
transcript.pyannote[4649].start 27773.47971875
transcript.pyannote[4649].end 27773.54721875
transcript.pyannote[4650].speaker SPEAKER_34
transcript.pyannote[4650].start 27773.54721875
transcript.pyannote[4650].end 27774.99846875
transcript.pyannote[4651].speaker SPEAKER_34
transcript.pyannote[4651].start 27777.86721875
transcript.pyannote[4651].end 27777.88409375
transcript.pyannote[4652].speaker SPEAKER_47
transcript.pyannote[4652].start 27777.88409375
transcript.pyannote[4652].end 27779.26784375
transcript.pyannote[4653].speaker SPEAKER_47
transcript.pyannote[4653].start 27780.02721875
transcript.pyannote[4653].end 27784.22909375
transcript.pyannote[4654].speaker SPEAKER_47
transcript.pyannote[4654].start 27785.27534375
transcript.pyannote[4654].end 27789.86534375
transcript.pyannote[4655].speaker SPEAKER_09
transcript.pyannote[4655].start 27787.08096875
transcript.pyannote[4655].end 27787.09784375
transcript.pyannote[4656].speaker SPEAKER_30
transcript.pyannote[4656].start 27787.09784375
transcript.pyannote[4656].end 27791.72159375
transcript.pyannote[4657].speaker SPEAKER_42
transcript.pyannote[4657].start 27793.51034375
transcript.pyannote[4657].end 27793.56096875
transcript.pyannote[4658].speaker SPEAKER_30
transcript.pyannote[4658].start 27793.56096875
transcript.pyannote[4658].end 27795.21471875
transcript.pyannote[4659].speaker SPEAKER_42
transcript.pyannote[4659].start 27793.59471875
transcript.pyannote[4659].end 27793.89846875
transcript.pyannote[4660].speaker SPEAKER_47
transcript.pyannote[4660].start 27793.89846875
transcript.pyannote[4660].end 27793.96596875
transcript.pyannote[4661].speaker SPEAKER_42
transcript.pyannote[4661].start 27793.96596875
transcript.pyannote[4661].end 27794.03346875
transcript.pyannote[4662].speaker SPEAKER_47
transcript.pyannote[4662].start 27794.03346875
transcript.pyannote[4662].end 27794.10096875
transcript.pyannote[4663].speaker SPEAKER_42
transcript.pyannote[4663].start 27794.10096875
transcript.pyannote[4663].end 27794.59034375
transcript.pyannote[4664].speaker SPEAKER_47
transcript.pyannote[4664].start 27794.59034375
transcript.pyannote[4664].end 27794.86034375
transcript.pyannote[4665].speaker SPEAKER_30
transcript.pyannote[4665].start 27795.51846875
transcript.pyannote[4665].end 27798.30284375
transcript.pyannote[4666].speaker SPEAKER_30
transcript.pyannote[4666].start 27798.57284375
transcript.pyannote[4666].end 27799.39971875
transcript.pyannote[4667].speaker SPEAKER_47
transcript.pyannote[4667].start 27802.26846875
transcript.pyannote[4667].end 27820.00409375
transcript.pyannote[4668].speaker SPEAKER_47
transcript.pyannote[4668].start 27821.32034375
transcript.pyannote[4668].end 27824.23971875
transcript.pyannote[4669].speaker SPEAKER_15
transcript.pyannote[4669].start 27825.52221875
transcript.pyannote[4669].end 27829.42034375
transcript.pyannote[4670].speaker SPEAKER_15
transcript.pyannote[4670].start 27830.04471875
transcript.pyannote[4670].end 27831.78284375
transcript.pyannote[4671].speaker SPEAKER_15
transcript.pyannote[4671].start 27832.18784375
transcript.pyannote[4671].end 27837.80721875
transcript.pyannote[4672].speaker SPEAKER_15
transcript.pyannote[4672].start 27838.12784375
transcript.pyannote[4672].end 27841.26659375
transcript.pyannote[4673].speaker SPEAKER_15
transcript.pyannote[4673].start 27841.65471875
transcript.pyannote[4673].end 27868.51971875
transcript.pyannote[4674].speaker SPEAKER_47
transcript.pyannote[4674].start 27871.13534375
transcript.pyannote[4674].end 27871.82721875
transcript.pyannote[4675].speaker SPEAKER_47
transcript.pyannote[4675].start 27873.43034375
transcript.pyannote[4675].end 27878.18909375
transcript.pyannote[4676].speaker SPEAKER_34
transcript.pyannote[4676].start 27879.33659375
transcript.pyannote[4676].end 27931.17659375
transcript.pyannote[4677].speaker SPEAKER_15
transcript.pyannote[4677].start 27929.92784375
transcript.pyannote[4677].end 27934.83846875
transcript.pyannote[4678].speaker SPEAKER_34
transcript.pyannote[4678].start 27931.61534375
transcript.pyannote[4678].end 27932.25659375
transcript.pyannote[4679].speaker SPEAKER_34
transcript.pyannote[4679].start 27933.33659375
transcript.pyannote[4679].end 27934.80471875
transcript.pyannote[4680].speaker SPEAKER_34
transcript.pyannote[4680].start 27934.83846875
transcript.pyannote[4680].end 27935.17596875
transcript.pyannote[4681].speaker SPEAKER_15
transcript.pyannote[4681].start 27935.17596875
transcript.pyannote[4681].end 27939.00659375
transcript.pyannote[4682].speaker SPEAKER_30
transcript.pyannote[4682].start 27939.56346875
transcript.pyannote[4682].end 27946.26284375
transcript.pyannote[4683].speaker SPEAKER_30
transcript.pyannote[4683].start 27946.49909375
transcript.pyannote[4683].end 27960.37034375
transcript.pyannote[4684].speaker SPEAKER_30
transcript.pyannote[4684].start 27961.41659375
transcript.pyannote[4684].end 27974.19096875
transcript.pyannote[4685].speaker SPEAKER_30
transcript.pyannote[4685].start 27974.46096875
transcript.pyannote[4685].end 27975.50721875
transcript.pyannote[4686].speaker SPEAKER_30
transcript.pyannote[4686].start 27975.92909375
transcript.pyannote[4686].end 27977.48159375
transcript.pyannote[4687].speaker SPEAKER_30
transcript.pyannote[4687].start 27978.34221875
transcript.pyannote[4687].end 27979.82721875
transcript.pyannote[4688].speaker SPEAKER_30
transcript.pyannote[4688].start 27980.41784375
transcript.pyannote[4688].end 27997.49534375
transcript.pyannote[4689].speaker SPEAKER_30
transcript.pyannote[4689].start 27998.69346875
transcript.pyannote[4689].end 28014.04971875
transcript.pyannote[4690].speaker SPEAKER_30
transcript.pyannote[4690].start 28015.02846875
transcript.pyannote[4690].end 28016.76659375
transcript.pyannote[4691].speaker SPEAKER_09
transcript.pyannote[4691].start 28016.76659375
transcript.pyannote[4691].end 28016.78346875
transcript.pyannote[4692].speaker SPEAKER_47
transcript.pyannote[4692].start 28017.62721875
transcript.pyannote[4692].end 28017.84659375
transcript.pyannote[4693].speaker SPEAKER_47
transcript.pyannote[4693].start 28018.74096875
transcript.pyannote[4693].end 28020.42846875
transcript.pyannote[4694].speaker SPEAKER_09
transcript.pyannote[4694].start 28020.14159375
transcript.pyannote[4694].end 28027.49909375
transcript.pyannote[4695].speaker SPEAKER_09
transcript.pyannote[4695].start 28028.02221875
transcript.pyannote[4695].end 28040.96534375
transcript.pyannote[4696].speaker SPEAKER_09
transcript.pyannote[4696].start 28041.35346875
transcript.pyannote[4696].end 28046.31471875
transcript.pyannote[4697].speaker SPEAKER_09
transcript.pyannote[4697].start 28046.43284375
transcript.pyannote[4697].end 28046.44971875
transcript.pyannote[4698].speaker SPEAKER_09
transcript.pyannote[4698].start 28046.48346875
transcript.pyannote[4698].end 28052.01846875
transcript.pyannote[4699].speaker SPEAKER_09
transcript.pyannote[4699].start 28052.62596875
transcript.pyannote[4699].end 28073.58471875
transcript.pyannote[4700].speaker SPEAKER_09
transcript.pyannote[4700].start 28073.61846875
transcript.pyannote[4700].end 28073.75346875
transcript.pyannote[4701].speaker SPEAKER_47
transcript.pyannote[4701].start 28073.75346875
transcript.pyannote[4701].end 28073.95596875
transcript.pyannote[4702].speaker SPEAKER_42
transcript.pyannote[4702].start 28073.95596875
transcript.pyannote[4702].end 28074.46221875
transcript.pyannote[4703].speaker SPEAKER_47
transcript.pyannote[4703].start 28074.46221875
transcript.pyannote[4703].end 28074.47909375
transcript.pyannote[4704].speaker SPEAKER_47
transcript.pyannote[4704].start 28076.13284375
transcript.pyannote[4704].end 28076.14971875
transcript.pyannote[4705].speaker SPEAKER_34
transcript.pyannote[4705].start 28076.14971875
transcript.pyannote[4705].end 28082.91659375
transcript.pyannote[4706].speaker SPEAKER_47
transcript.pyannote[4706].start 28078.66409375
transcript.pyannote[4706].end 28078.76534375
transcript.pyannote[4707].speaker SPEAKER_34
transcript.pyannote[4707].start 28083.13596875
transcript.pyannote[4707].end 28089.71721875
transcript.pyannote[4708].speaker SPEAKER_34
transcript.pyannote[4708].start 28090.22346875
transcript.pyannote[4708].end 28100.71971875
transcript.pyannote[4709].speaker SPEAKER_34
transcript.pyannote[4709].start 28101.20909375
transcript.pyannote[4709].end 28140.49409375
transcript.pyannote[4710].speaker SPEAKER_09
transcript.pyannote[4710].start 28138.62096875
transcript.pyannote[4710].end 28142.48534375
transcript.pyannote[4711].speaker SPEAKER_47
transcript.pyannote[4711].start 28142.53596875
transcript.pyannote[4711].end 28158.38159375
transcript.pyannote[4712].speaker SPEAKER_47
transcript.pyannote[4712].start 28159.24221875
transcript.pyannote[4712].end 28160.87909375
transcript.pyannote[4713].speaker SPEAKER_47
transcript.pyannote[4713].start 28161.21659375
transcript.pyannote[4713].end 28171.89846875
transcript.pyannote[4714].speaker SPEAKER_47
transcript.pyannote[4714].start 28172.13471875
transcript.pyannote[4714].end 28173.63659375
transcript.pyannote[4715].speaker SPEAKER_47
transcript.pyannote[4715].start 28174.05846875
transcript.pyannote[4715].end 28177.26471875
transcript.pyannote[4716].speaker SPEAKER_47
transcript.pyannote[4716].start 28177.92284375
transcript.pyannote[4716].end 28181.19659375
transcript.pyannote[4717].speaker SPEAKER_47
transcript.pyannote[4717].start 28182.52971875
transcript.pyannote[4717].end 28184.74034375
transcript.pyannote[4718].speaker SPEAKER_47
transcript.pyannote[4718].start 28184.94284375
transcript.pyannote[4718].end 28188.67221875
transcript.pyannote[4719].speaker SPEAKER_47
transcript.pyannote[4719].start 28189.61721875
transcript.pyannote[4719].end 28194.81471875
transcript.pyannote[4720].speaker SPEAKER_09
transcript.pyannote[4720].start 28191.74346875
transcript.pyannote[4720].end 28198.78034375
transcript.pyannote[4721].speaker SPEAKER_47
transcript.pyannote[4721].start 28198.72971875
transcript.pyannote[4721].end 28200.85596875
transcript.pyannote[4722].speaker SPEAKER_34
transcript.pyannote[4722].start 28201.61534375
transcript.pyannote[4722].end 28203.03284375
transcript.pyannote[4723].speaker SPEAKER_34
transcript.pyannote[4723].start 28204.04534375
transcript.pyannote[4723].end 28204.06221875
transcript.pyannote[4724].speaker SPEAKER_47
transcript.pyannote[4724].start 28204.06221875
transcript.pyannote[4724].end 28210.35659375
transcript.pyannote[4725].speaker SPEAKER_47
transcript.pyannote[4725].start 28212.75284375
transcript.pyannote[4725].end 28217.64659375
transcript.pyannote[4726].speaker SPEAKER_47
transcript.pyannote[4726].start 28218.15284375
transcript.pyannote[4726].end 28221.59534375
transcript.pyannote[4727].speaker SPEAKER_47
transcript.pyannote[4727].start 28223.04659375
transcript.pyannote[4727].end 28224.83534375
transcript.pyannote[4728].speaker SPEAKER_47
transcript.pyannote[4728].start 28226.11784375
transcript.pyannote[4728].end 28228.41284375
transcript.pyannote[4729].speaker SPEAKER_47
transcript.pyannote[4729].start 28229.57721875
transcript.pyannote[4729].end 28232.54721875
transcript.pyannote[4730].speaker SPEAKER_34
transcript.pyannote[4730].start 28230.70784375
transcript.pyannote[4730].end 28232.81721875
transcript.pyannote[4731].speaker SPEAKER_47
transcript.pyannote[4731].start 28232.81721875
transcript.pyannote[4731].end 28232.83409375
transcript.pyannote[4732].speaker SPEAKER_47
transcript.pyannote[4732].start 28232.98596875
transcript.pyannote[4732].end 28242.55409375
transcript.pyannote[4733].speaker SPEAKER_34
transcript.pyannote[4733].start 28233.49221875
transcript.pyannote[4733].end 28234.03221875
transcript.pyannote[4734].speaker SPEAKER_47
transcript.pyannote[4734].start 28243.11096875
transcript.pyannote[4734].end 28246.30034375
transcript.pyannote[4735].speaker SPEAKER_47
transcript.pyannote[4735].start 28246.97534375
transcript.pyannote[4735].end 28252.51034375
transcript.pyannote[4736].speaker SPEAKER_47
transcript.pyannote[4736].start 28253.11784375
transcript.pyannote[4736].end 28255.86846875
transcript.pyannote[4737].speaker SPEAKER_34
transcript.pyannote[4737].start 28253.13471875
transcript.pyannote[4737].end 28258.80471875
transcript.pyannote[4738].speaker SPEAKER_47
transcript.pyannote[4738].start 28257.82596875
transcript.pyannote[4738].end 28261.30221875
transcript.pyannote[4739].speaker SPEAKER_34
transcript.pyannote[4739].start 28261.52159375
transcript.pyannote[4739].end 28262.85471875
transcript.pyannote[4740].speaker SPEAKER_47
transcript.pyannote[4740].start 28262.80409375
transcript.pyannote[4740].end 28281.28221875
transcript.pyannote[4741].speaker SPEAKER_34
transcript.pyannote[4741].start 28264.45784375
transcript.pyannote[4741].end 28265.11596875
transcript.pyannote[4742].speaker SPEAKER_32
transcript.pyannote[4742].start 28281.97409375
transcript.pyannote[4742].end 28282.02471875
transcript.pyannote[4743].speaker SPEAKER_32
transcript.pyannote[4743].start 28282.91909375
transcript.pyannote[4743].end 28285.23096875
transcript.pyannote[4744].speaker SPEAKER_32
transcript.pyannote[4744].start 28285.31534375
transcript.pyannote[4744].end 28285.33221875
transcript.pyannote[4745].speaker SPEAKER_32
transcript.pyannote[4745].start 28285.38284375
transcript.pyannote[4745].end 28287.01971875
transcript.pyannote[4746].speaker SPEAKER_32
transcript.pyannote[4746].start 28287.13784375
transcript.pyannote[4746].end 28288.03221875
transcript.pyannote[4747].speaker SPEAKER_01
transcript.pyannote[4747].start 28289.38221875
transcript.pyannote[4747].end 28290.91784375
transcript.pyannote[4748].speaker SPEAKER_47
transcript.pyannote[4748].start 28291.08659375
transcript.pyannote[4748].end 28293.44909375
transcript.pyannote[4749].speaker SPEAKER_47
transcript.pyannote[4749].start 28294.09034375
transcript.pyannote[4749].end 28298.00534375
transcript.pyannote[4750].speaker SPEAKER_42
transcript.pyannote[4750].start 28299.96284375
transcript.pyannote[4750].end 28300.03034375
transcript.pyannote[4751].speaker SPEAKER_42
transcript.pyannote[4751].start 28300.95846875
transcript.pyannote[4751].end 28301.02596875
transcript.pyannote[4752].speaker SPEAKER_09
transcript.pyannote[4752].start 28317.76596875
transcript.pyannote[4752].end 28319.08221875
transcript.pyannote[4753].speaker SPEAKER_47
transcript.pyannote[4753].start 28334.05034375
transcript.pyannote[4753].end 28338.57284375
transcript.pyannote[4754].speaker SPEAKER_47
transcript.pyannote[4754].start 28338.75846875
transcript.pyannote[4754].end 28342.03221875
transcript.pyannote[4755].speaker SPEAKER_47
transcript.pyannote[4755].start 28342.75784375
transcript.pyannote[4755].end 28344.22596875
transcript.pyannote[4756].speaker SPEAKER_47
transcript.pyannote[4756].start 28344.73221875
transcript.pyannote[4756].end 28346.11596875
transcript.pyannote[4757].speaker SPEAKER_09
transcript.pyannote[4757].start 28347.16221875
transcript.pyannote[4757].end 28347.65159375
transcript.pyannote[4758].speaker SPEAKER_47
transcript.pyannote[4758].start 28347.65159375
transcript.pyannote[4758].end 28349.32221875
transcript.pyannote[4759].speaker SPEAKER_09
transcript.pyannote[4759].start 28347.90471875
transcript.pyannote[4759].end 28349.94659375
transcript.pyannote[4760].speaker SPEAKER_47
transcript.pyannote[4760].start 28349.94659375
transcript.pyannote[4760].end 28349.96346875
transcript.pyannote[4761].speaker SPEAKER_47
transcript.pyannote[4761].start 28356.51096875
transcript.pyannote[4761].end 28374.26346875
transcript.pyannote[4762].speaker SPEAKER_21
transcript.pyannote[4762].start 28375.78221875
transcript.pyannote[4762].end 28381.46909375
transcript.pyannote[4763].speaker SPEAKER_21
transcript.pyannote[4763].start 28382.97096875
transcript.pyannote[4763].end 28383.56159375
transcript.pyannote[4764].speaker SPEAKER_47
transcript.pyannote[4764].start 28384.18596875
transcript.pyannote[4764].end 28389.72096875
transcript.pyannote[4765].speaker SPEAKER_30
transcript.pyannote[4765].start 28391.72909375
transcript.pyannote[4765].end 28400.50409375
transcript.pyannote[4766].speaker SPEAKER_30
transcript.pyannote[4766].start 28400.92596875
transcript.pyannote[4766].end 28422.40784375
transcript.pyannote[4767].speaker SPEAKER_47
transcript.pyannote[4767].start 28424.02784375
transcript.pyannote[4767].end 28429.63034375
transcript.pyannote[4768].speaker SPEAKER_36
transcript.pyannote[4768].start 28429.69784375
transcript.pyannote[4768].end 28453.13721875
transcript.pyannote[4769].speaker SPEAKER_36
transcript.pyannote[4769].start 28453.35659375
transcript.pyannote[4769].end 28483.44471875
transcript.pyannote[4770].speaker SPEAKER_47
transcript.pyannote[4770].start 28485.82409375
transcript.pyannote[4770].end 28487.44409375
transcript.pyannote[4771].speaker SPEAKER_36
transcript.pyannote[4771].start 28487.89971875
transcript.pyannote[4771].end 28498.48034375
transcript.pyannote[4772].speaker SPEAKER_36
transcript.pyannote[4772].start 28498.98659375
transcript.pyannote[4772].end 28544.54909375
transcript.pyannote[4773].speaker SPEAKER_36
transcript.pyannote[4773].start 28544.88659375
transcript.pyannote[4773].end 28559.14596875
transcript.pyannote[4774].speaker SPEAKER_36
transcript.pyannote[4774].start 28559.16284375
transcript.pyannote[4774].end 28561.05284375
transcript.pyannote[4775].speaker SPEAKER_36
transcript.pyannote[4775].start 28561.99784375
transcript.pyannote[4775].end 28562.26784375
transcript.pyannote[4776].speaker SPEAKER_47
transcript.pyannote[4776].start 28562.85846875
transcript.pyannote[4776].end 28563.19596875
transcript.pyannote[4777].speaker SPEAKER_36
transcript.pyannote[4777].start 28563.73596875
transcript.pyannote[4777].end 28564.81596875
transcript.pyannote[4778].speaker SPEAKER_47
transcript.pyannote[4778].start 28565.65971875
transcript.pyannote[4778].end 28568.57909375
transcript.pyannote[4779].speaker SPEAKER_47
transcript.pyannote[4779].start 28568.66346875
transcript.pyannote[4779].end 28571.71784375
transcript.pyannote[4780].speaker SPEAKER_47
transcript.pyannote[4780].start 28572.17346875
transcript.pyannote[4780].end 28574.51909375
transcript.pyannote[4781].speaker SPEAKER_47
transcript.pyannote[4781].start 28574.94096875
transcript.pyannote[4781].end 28578.58596875
transcript.pyannote[4782].speaker SPEAKER_47
transcript.pyannote[4782].start 28578.68721875
transcript.pyannote[4782].end 28585.60596875
transcript.pyannote[4783].speaker SPEAKER_47
transcript.pyannote[4783].start 28586.04471875
transcript.pyannote[4783].end 28588.28909375
transcript.pyannote[4784].speaker SPEAKER_47
transcript.pyannote[4784].start 28588.52534375
transcript.pyannote[4784].end 28590.48284375
transcript.pyannote[4785].speaker SPEAKER_47
transcript.pyannote[4785].start 28590.78659375
transcript.pyannote[4785].end 28593.03096875
transcript.pyannote[4786].speaker SPEAKER_47
transcript.pyannote[4786].start 28594.98846875
transcript.pyannote[4786].end 28595.27534375
transcript.pyannote[4787].speaker SPEAKER_47
transcript.pyannote[4787].start 28597.99221875
transcript.pyannote[4787].end 28600.62471875
transcript.pyannote[4788].speaker SPEAKER_01
transcript.pyannote[4788].start 28599.98346875
transcript.pyannote[4788].end 28610.56409375
transcript.pyannote[4789].speaker SPEAKER_47
transcript.pyannote[4789].start 28611.72846875
transcript.pyannote[4789].end 28617.43221875
transcript.pyannote[4790].speaker SPEAKER_01
transcript.pyannote[4790].start 28613.55096875
transcript.pyannote[4790].end 28613.98971875
transcript.pyannote[4791].speaker SPEAKER_47
transcript.pyannote[4791].start 28619.72721875
transcript.pyannote[4791].end 28621.60034375
transcript.pyannote[4792].speaker SPEAKER_47
transcript.pyannote[4792].start 28621.93784375
transcript.pyannote[4792].end 28623.60846875
transcript.pyannote[4793].speaker SPEAKER_47
transcript.pyannote[4793].start 28624.68846875
transcript.pyannote[4793].end 28626.54471875
transcript.pyannote[4794].speaker SPEAKER_47
transcript.pyannote[4794].start 28626.81471875
transcript.pyannote[4794].end 28632.19784375
transcript.pyannote[4795].speaker SPEAKER_21
transcript.pyannote[4795].start 28631.26971875
transcript.pyannote[4795].end 28631.97846875
transcript.pyannote[4796].speaker SPEAKER_21
transcript.pyannote[4796].start 28632.82221875
transcript.pyannote[4796].end 28633.71659375
transcript.pyannote[4797].speaker SPEAKER_47
transcript.pyannote[4797].start 28633.71659375
transcript.pyannote[4797].end 28634.64471875
transcript.pyannote[4798].speaker SPEAKER_21
transcript.pyannote[4798].start 28633.93596875
transcript.pyannote[4798].end 28637.59784375
transcript.pyannote[4799].speaker SPEAKER_21
transcript.pyannote[4799].start 28638.08721875
transcript.pyannote[4799].end 28641.02346875
transcript.pyannote[4800].speaker SPEAKER_47
transcript.pyannote[4800].start 28641.81659375
transcript.pyannote[4800].end 28671.28034375
transcript.pyannote[4801].speaker SPEAKER_21
transcript.pyannote[4801].start 28642.79534375
transcript.pyannote[4801].end 28644.01034375
transcript.pyannote[4802].speaker SPEAKER_21
transcript.pyannote[4802].start 28644.46596875
transcript.pyannote[4802].end 28646.69346875
transcript.pyannote[4803].speaker SPEAKER_21
transcript.pyannote[4803].start 28648.24596875
transcript.pyannote[4803].end 28648.54971875
transcript.pyannote[4804].speaker SPEAKER_44
transcript.pyannote[4804].start 28649.29221875
transcript.pyannote[4804].end 28649.51159375
transcript.pyannote[4805].speaker SPEAKER_45
transcript.pyannote[4805].start 28649.51159375
transcript.pyannote[4805].end 28649.57909375
transcript.pyannote[4806].speaker SPEAKER_00
transcript.pyannote[4806].start 28660.49721875
transcript.pyannote[4806].end 28660.61534375
transcript.pyannote[4807].speaker SPEAKER_42
transcript.pyannote[4807].start 28660.61534375
transcript.pyannote[4807].end 28661.17221875
transcript.pyannote[4808].speaker SPEAKER_00
transcript.pyannote[4808].start 28661.17221875
transcript.pyannote[4808].end 28661.39159375
transcript.pyannote[4809].speaker SPEAKER_15
transcript.pyannote[4809].start 28671.56721875
transcript.pyannote[4809].end 28694.71971875
transcript.pyannote[4810].speaker SPEAKER_15
transcript.pyannote[4810].start 28695.15846875
transcript.pyannote[4810].end 28700.37284375
transcript.pyannote[4811].speaker SPEAKER_15
transcript.pyannote[4811].start 28700.86221875
transcript.pyannote[4811].end 28701.84096875
transcript.pyannote[4812].speaker SPEAKER_15
transcript.pyannote[4812].start 28701.92534375
transcript.pyannote[4812].end 28704.16971875
transcript.pyannote[4813].speaker SPEAKER_47
transcript.pyannote[4813].start 28705.48596875
transcript.pyannote[4813].end 28708.23659375
transcript.pyannote[4814].speaker SPEAKER_47
transcript.pyannote[4814].start 28708.99596875
transcript.pyannote[4814].end 28710.09284375
transcript.pyannote[4815].speaker SPEAKER_47
transcript.pyannote[4815].start 28710.12659375
transcript.pyannote[4815].end 28712.05034375
transcript.pyannote[4816].speaker SPEAKER_36
transcript.pyannote[4816].start 28712.45534375
transcript.pyannote[4816].end 28719.27284375
transcript.pyannote[4817].speaker SPEAKER_36
transcript.pyannote[4817].start 28719.42471875
transcript.pyannote[4817].end 28731.16971875
transcript.pyannote[4818].speaker SPEAKER_36
transcript.pyannote[4818].start 28731.42284375
transcript.pyannote[4818].end 28743.48846875
transcript.pyannote[4819].speaker SPEAKER_36
transcript.pyannote[4819].start 28744.01159375
transcript.pyannote[4819].end 28766.20221875
transcript.pyannote[4820].speaker SPEAKER_36
transcript.pyannote[4820].start 28766.67471875
transcript.pyannote[4820].end 28788.12284375
transcript.pyannote[4821].speaker SPEAKER_47
transcript.pyannote[4821].start 28789.86096875
transcript.pyannote[4821].end 28791.37971875
transcript.pyannote[4822].speaker SPEAKER_15
transcript.pyannote[4822].start 28791.37971875
transcript.pyannote[4822].end 28791.64971875
transcript.pyannote[4823].speaker SPEAKER_15
transcript.pyannote[4823].start 28792.47659375
transcript.pyannote[4823].end 28793.79284375
transcript.pyannote[4824].speaker SPEAKER_15
transcript.pyannote[4824].start 28794.06284375
transcript.pyannote[4824].end 28796.25659375
transcript.pyannote[4825].speaker SPEAKER_15
transcript.pyannote[4825].start 28796.69534375
transcript.pyannote[4825].end 28800.01971875
transcript.pyannote[4826].speaker SPEAKER_15
transcript.pyannote[4826].start 28800.39096875
transcript.pyannote[4826].end 28814.38034375
transcript.pyannote[4827].speaker SPEAKER_15
transcript.pyannote[4827].start 28817.58659375
transcript.pyannote[4827].end 28818.44721875
transcript.pyannote[4828].speaker SPEAKER_15
transcript.pyannote[4828].start 28818.63284375
transcript.pyannote[4828].end 28818.81846875
transcript.pyannote[4829].speaker SPEAKER_47
transcript.pyannote[4829].start 28818.81846875
transcript.pyannote[4829].end 28821.73784375
transcript.pyannote[4830].speaker SPEAKER_15
transcript.pyannote[4830].start 28818.97034375
transcript.pyannote[4830].end 28821.85596875
transcript.pyannote[4831].speaker SPEAKER_42
transcript.pyannote[4831].start 28821.73784375
transcript.pyannote[4831].end 28821.75471875
transcript.pyannote[4832].speaker SPEAKER_42
transcript.pyannote[4832].start 28821.85596875
transcript.pyannote[4832].end 28821.99096875
transcript.pyannote[4833].speaker SPEAKER_42
transcript.pyannote[4833].start 28822.76721875
transcript.pyannote[4833].end 28822.80096875
transcript.pyannote[4834].speaker SPEAKER_47
transcript.pyannote[4834].start 28822.80096875
transcript.pyannote[4834].end 28824.58971875
transcript.pyannote[4835].speaker SPEAKER_42
transcript.pyannote[4835].start 28822.83471875
transcript.pyannote[4835].end 28822.95284375
transcript.pyannote[4836].speaker SPEAKER_15
transcript.pyannote[4836].start 28822.95284375
transcript.pyannote[4836].end 28825.18034375
transcript.pyannote[4837].speaker SPEAKER_42
transcript.pyannote[4837].start 28824.58971875
transcript.pyannote[4837].end 28824.70784375
transcript.pyannote[4838].speaker SPEAKER_47
transcript.pyannote[4838].start 28824.70784375
transcript.pyannote[4838].end 28824.97784375
transcript.pyannote[4839].speaker SPEAKER_42
transcript.pyannote[4839].start 28824.97784375
transcript.pyannote[4839].end 28830.02346875
transcript.pyannote[4840].speaker SPEAKER_47
transcript.pyannote[4840].start 28825.18034375
transcript.pyannote[4840].end 28825.19721875
transcript.pyannote[4841].speaker SPEAKER_15
transcript.pyannote[4841].start 28825.19721875
transcript.pyannote[4841].end 28825.43346875
transcript.pyannote[4842].speaker SPEAKER_47
transcript.pyannote[4842].start 28825.43346875
transcript.pyannote[4842].end 28825.60221875
transcript.pyannote[4843].speaker SPEAKER_15
transcript.pyannote[4843].start 28825.60221875
transcript.pyannote[4843].end 28825.65284375
transcript.pyannote[4844].speaker SPEAKER_47
transcript.pyannote[4844].start 28825.65284375
transcript.pyannote[4844].end 28826.02409375
transcript.pyannote[4845].speaker SPEAKER_01
transcript.pyannote[4845].start 28826.02409375
transcript.pyannote[4845].end 28826.12534375
transcript.pyannote[4846].speaker SPEAKER_47
transcript.pyannote[4846].start 28826.12534375
transcript.pyannote[4846].end 28826.66534375
transcript.pyannote[4847].speaker SPEAKER_01
transcript.pyannote[4847].start 28830.02346875
transcript.pyannote[4847].end 28836.11534375
transcript.pyannote[4848].speaker SPEAKER_01
transcript.pyannote[4848].start 28836.38534375
transcript.pyannote[4848].end 28836.43596875
transcript.pyannote[4849].speaker SPEAKER_47
transcript.pyannote[4849].start 28836.43596875
transcript.pyannote[4849].end 28837.22909375
transcript.pyannote[4850].speaker SPEAKER_01
transcript.pyannote[4850].start 28836.46971875
transcript.pyannote[4850].end 28836.58784375
transcript.pyannote[4851].speaker SPEAKER_01
transcript.pyannote[4851].start 28836.65534375
transcript.pyannote[4851].end 28837.02659375
transcript.pyannote[4852].speaker SPEAKER_01
transcript.pyannote[4852].start 28837.22909375
transcript.pyannote[4852].end 28837.26284375
transcript.pyannote[4853].speaker SPEAKER_47
transcript.pyannote[4853].start 28837.26284375
transcript.pyannote[4853].end 28837.34721875
transcript.pyannote[4854].speaker SPEAKER_01
transcript.pyannote[4854].start 28837.34721875
transcript.pyannote[4854].end 28838.02221875
transcript.pyannote[4855].speaker SPEAKER_47
transcript.pyannote[4855].start 28839.30471875
transcript.pyannote[4855].end 28844.72159375
transcript.pyannote[4856].speaker SPEAKER_47
transcript.pyannote[4856].start 28845.71721875
transcript.pyannote[4856].end 28852.88909375
transcript.pyannote[4857].speaker SPEAKER_47
transcript.pyannote[4857].start 28853.29409375
transcript.pyannote[4857].end 28858.28909375
transcript.pyannote[4858].speaker SPEAKER_47
transcript.pyannote[4858].start 28858.60971875
transcript.pyannote[4858].end 28867.35096875
transcript.pyannote[4859].speaker SPEAKER_15
transcript.pyannote[4859].start 28867.87409375
transcript.pyannote[4859].end 28868.85284375
transcript.pyannote[4860].speaker SPEAKER_15
transcript.pyannote[4860].start 28869.67971875
transcript.pyannote[4860].end 28876.34534375
transcript.pyannote[4861].speaker SPEAKER_15
transcript.pyannote[4861].start 28876.46346875
transcript.pyannote[4861].end 28876.85159375
transcript.pyannote[4862].speaker SPEAKER_15
transcript.pyannote[4862].start 28876.98659375
transcript.pyannote[4862].end 28877.99909375
transcript.pyannote[4863].speaker SPEAKER_15
transcript.pyannote[4863].start 28879.01159375
transcript.pyannote[4863].end 28880.61471875
transcript.pyannote[4864].speaker SPEAKER_15
transcript.pyannote[4864].start 28880.83409375
transcript.pyannote[4864].end 28882.36971875
transcript.pyannote[4865].speaker SPEAKER_15
transcript.pyannote[4865].start 28882.67346875
transcript.pyannote[4865].end 28884.12471875
transcript.pyannote[4866].speaker SPEAKER_15
transcript.pyannote[4866].start 28884.49596875
transcript.pyannote[4866].end 28896.56159375
transcript.pyannote[4867].speaker SPEAKER_15
transcript.pyannote[4867].start 28896.79784375
transcript.pyannote[4867].end 28897.99596875
transcript.pyannote[4868].speaker SPEAKER_15
transcript.pyannote[4868].start 28898.48534375
transcript.pyannote[4868].end 28901.48909375
transcript.pyannote[4869].speaker SPEAKER_15
transcript.pyannote[4869].start 28902.26534375
transcript.pyannote[4869].end 28903.37909375
transcript.pyannote[4870].speaker SPEAKER_15
transcript.pyannote[4870].start 28904.50971875
transcript.pyannote[4870].end 28910.53409375
transcript.pyannote[4871].speaker SPEAKER_15
transcript.pyannote[4871].start 28910.83784375
transcript.pyannote[4871].end 28911.88409375
transcript.pyannote[4872].speaker SPEAKER_15
transcript.pyannote[4872].start 28912.15409375
transcript.pyannote[4872].end 28939.42409375
transcript.pyannote[4873].speaker SPEAKER_15
transcript.pyannote[4873].start 28939.69409375
transcript.pyannote[4873].end 28942.66409375
transcript.pyannote[4874].speaker SPEAKER_15
transcript.pyannote[4874].start 28943.05221875
transcript.pyannote[4874].end 28943.81159375
transcript.pyannote[4875].speaker SPEAKER_15
transcript.pyannote[4875].start 28944.14909375
transcript.pyannote[4875].end 28945.70159375
transcript.pyannote[4876].speaker SPEAKER_15
transcript.pyannote[4876].start 28946.27534375
transcript.pyannote[4876].end 28947.35534375
transcript.pyannote[4877].speaker SPEAKER_15
transcript.pyannote[4877].start 28947.72659375
transcript.pyannote[4877].end 28949.31284375
transcript.pyannote[4878].speaker SPEAKER_15
transcript.pyannote[4878].start 28949.97096875
transcript.pyannote[4878].end 28951.21971875
transcript.pyannote[4879].speaker SPEAKER_15
transcript.pyannote[4879].start 28951.74284375
transcript.pyannote[4879].end 28953.43034375
transcript.pyannote[4880].speaker SPEAKER_15
transcript.pyannote[4880].start 28953.71721875
transcript.pyannote[4880].end 28964.36534375
transcript.pyannote[4881].speaker SPEAKER_15
transcript.pyannote[4881].start 28966.71096875
transcript.pyannote[4881].end 28968.34784375
transcript.pyannote[4882].speaker SPEAKER_15
transcript.pyannote[4882].start 28969.44471875
transcript.pyannote[4882].end 28969.79909375
transcript.pyannote[4883].speaker SPEAKER_15
transcript.pyannote[4883].start 28969.96784375
transcript.pyannote[4883].end 28972.14471875
transcript.pyannote[4884].speaker SPEAKER_15
transcript.pyannote[4884].start 28972.48221875
transcript.pyannote[4884].end 28972.97159375
transcript.pyannote[4885].speaker SPEAKER_15
transcript.pyannote[4885].start 28973.47784375
transcript.pyannote[4885].end 28988.93534375
transcript.pyannote[4886].speaker SPEAKER_47
transcript.pyannote[4886].start 28991.12909375
transcript.pyannote[4886].end 28991.55096875
transcript.pyannote[4887].speaker SPEAKER_47
transcript.pyannote[4887].start 28992.09096875
transcript.pyannote[4887].end 29007.36284375
transcript.pyannote[4888].speaker SPEAKER_47
transcript.pyannote[4888].start 29007.90284375
transcript.pyannote[4888].end 29010.29909375
transcript.pyannote[4889].speaker SPEAKER_36
transcript.pyannote[4889].start 29010.68721875
transcript.pyannote[4889].end 29037.95721875
transcript.pyannote[4890].speaker SPEAKER_36
transcript.pyannote[4890].start 29038.64909375
transcript.pyannote[4890].end 29062.07159375
transcript.pyannote[4891].speaker SPEAKER_36
transcript.pyannote[4891].start 29062.08846875
transcript.pyannote[4891].end 29066.32409375
transcript.pyannote[4892].speaker SPEAKER_36
transcript.pyannote[4892].start 29066.93159375
transcript.pyannote[4892].end 29078.37284375
transcript.pyannote[4893].speaker SPEAKER_36
transcript.pyannote[4893].start 29078.64284375
transcript.pyannote[4893].end 29082.13596875
transcript.pyannote[4894].speaker SPEAKER_36
transcript.pyannote[4894].start 29082.87846875
transcript.pyannote[4894].end 29091.60284375
transcript.pyannote[4895].speaker SPEAKER_36
transcript.pyannote[4895].start 29091.80534375
transcript.pyannote[4895].end 29097.44159375
transcript.pyannote[4896].speaker SPEAKER_36
transcript.pyannote[4896].start 29097.66096875
transcript.pyannote[4896].end 29100.09096875
transcript.pyannote[4897].speaker SPEAKER_36
transcript.pyannote[4897].start 29100.52971875
transcript.pyannote[4897].end 29105.06909375
transcript.pyannote[4898].speaker SPEAKER_36
transcript.pyannote[4898].start 29105.32221875
transcript.pyannote[4898].end 29107.02659375
transcript.pyannote[4899].speaker SPEAKER_47
transcript.pyannote[4899].start 29107.66784375
transcript.pyannote[4899].end 29113.37159375
transcript.pyannote[4900].speaker SPEAKER_36
transcript.pyannote[4900].start 29113.21971875
transcript.pyannote[4900].end 29113.60784375
transcript.pyannote[4901].speaker SPEAKER_47
transcript.pyannote[4901].start 29113.60784375
transcript.pyannote[4901].end 29113.62471875
transcript.pyannote[4902].speaker SPEAKER_47
transcript.pyannote[4902].start 29113.82721875
transcript.pyannote[4902].end 29115.75096875
transcript.pyannote[4903].speaker SPEAKER_36
transcript.pyannote[4903].start 29116.29096875
transcript.pyannote[4903].end 29122.04534375
transcript.pyannote[4904].speaker SPEAKER_47
transcript.pyannote[4904].start 29122.73721875
transcript.pyannote[4904].end 29125.63971875
transcript.pyannote[4905].speaker SPEAKER_47
transcript.pyannote[4905].start 29125.97721875
transcript.pyannote[4905].end 29128.30596875
transcript.pyannote[4906].speaker SPEAKER_36
transcript.pyannote[4906].start 29128.49159375
transcript.pyannote[4906].end 29136.76034375
transcript.pyannote[4907].speaker SPEAKER_36
transcript.pyannote[4907].start 29137.99221875
transcript.pyannote[4907].end 29151.96471875
transcript.pyannote[4908].speaker SPEAKER_36
transcript.pyannote[4908].start 29152.74096875
transcript.pyannote[4908].end 29153.75346875
transcript.pyannote[4909].speaker SPEAKER_36
transcript.pyannote[4909].start 29154.68159375
transcript.pyannote[4909].end 29164.11471875
transcript.pyannote[4910].speaker SPEAKER_47
transcript.pyannote[4910].start 29165.97096875
transcript.pyannote[4910].end 29169.85221875
transcript.pyannote[4911].speaker SPEAKER_15
transcript.pyannote[4911].start 29169.85221875
transcript.pyannote[4911].end 29176.29846875
transcript.pyannote[4912].speaker SPEAKER_15
transcript.pyannote[4912].start 29177.00721875
transcript.pyannote[4912].end 29191.82346875
transcript.pyannote[4913].speaker SPEAKER_15
transcript.pyannote[4913].start 29192.58284375
transcript.pyannote[4913].end 29201.27346875
transcript.pyannote[4914].speaker SPEAKER_15
transcript.pyannote[4914].start 29201.45909375
transcript.pyannote[4914].end 29203.53471875
transcript.pyannote[4915].speaker SPEAKER_15
transcript.pyannote[4915].start 29203.65284375
transcript.pyannote[4915].end 29206.43721875
transcript.pyannote[4916].speaker SPEAKER_15
transcript.pyannote[4916].start 29206.70721875
transcript.pyannote[4916].end 29207.50034375
transcript.pyannote[4917].speaker SPEAKER_15
transcript.pyannote[4917].start 29208.15846875
transcript.pyannote[4917].end 29224.79721875
transcript.pyannote[4918].speaker SPEAKER_15
transcript.pyannote[4918].start 29225.62409375
transcript.pyannote[4918].end 29228.86409375
transcript.pyannote[4919].speaker SPEAKER_15
transcript.pyannote[4919].start 29228.98221875
transcript.pyannote[4919].end 29230.45034375
transcript.pyannote[4920].speaker SPEAKER_15
transcript.pyannote[4920].start 29230.88909375
transcript.pyannote[4920].end 29233.06596875
transcript.pyannote[4921].speaker SPEAKER_15
transcript.pyannote[4921].start 29233.36971875
transcript.pyannote[4921].end 29237.31846875
transcript.pyannote[4922].speaker SPEAKER_15
transcript.pyannote[4922].start 29237.85846875
transcript.pyannote[4922].end 29244.10221875
transcript.pyannote[4923].speaker SPEAKER_47
transcript.pyannote[4923].start 29246.59971875
transcript.pyannote[4923].end 29248.03409375
transcript.pyannote[4924].speaker SPEAKER_47
transcript.pyannote[4924].start 29248.70909375
transcript.pyannote[4924].end 29254.85159375
transcript.pyannote[4925].speaker SPEAKER_21
transcript.pyannote[4925].start 29255.96534375
transcript.pyannote[4925].end 29256.01596875
transcript.pyannote[4926].speaker SPEAKER_47
transcript.pyannote[4926].start 29256.01596875
transcript.pyannote[4926].end 29256.55596875
transcript.pyannote[4927].speaker SPEAKER_42
transcript.pyannote[4927].start 29256.10034375
transcript.pyannote[4927].end 29256.48846875
transcript.pyannote[4928].speaker SPEAKER_42
transcript.pyannote[4928].start 29256.55596875
transcript.pyannote[4928].end 29256.57284375
transcript.pyannote[4929].speaker SPEAKER_47
transcript.pyannote[4929].start 29256.57284375
transcript.pyannote[4929].end 29256.60659375
transcript.pyannote[4930].speaker SPEAKER_21
transcript.pyannote[4930].start 29256.60659375
transcript.pyannote[4930].end 29256.62346875
transcript.pyannote[4931].speaker SPEAKER_42
transcript.pyannote[4931].start 29256.62346875
transcript.pyannote[4931].end 29256.65721875
transcript.pyannote[4932].speaker SPEAKER_21
transcript.pyannote[4932].start 29256.97784375
transcript.pyannote[4932].end 29257.02846875
transcript.pyannote[4933].speaker SPEAKER_47
transcript.pyannote[4933].start 29258.12534375
transcript.pyannote[4933].end 29259.52596875
transcript.pyannote[4934].speaker SPEAKER_21
transcript.pyannote[4934].start 29258.20971875
transcript.pyannote[4934].end 29259.03659375
transcript.pyannote[4935].speaker SPEAKER_42
transcript.pyannote[4935].start 29259.03659375
transcript.pyannote[4935].end 29259.37409375
transcript.pyannote[4936].speaker SPEAKER_21
transcript.pyannote[4936].start 29259.52596875
transcript.pyannote[4936].end 29263.03596875
transcript.pyannote[4937].speaker SPEAKER_21
transcript.pyannote[4937].start 29263.74471875
transcript.pyannote[4937].end 29263.77846875
transcript.pyannote[4938].speaker SPEAKER_47
transcript.pyannote[4938].start 29263.77846875
transcript.pyannote[4938].end 29263.79534375
transcript.pyannote[4939].speaker SPEAKER_42
transcript.pyannote[4939].start 29263.79534375
transcript.pyannote[4939].end 29263.81221875
transcript.pyannote[4940].speaker SPEAKER_47
transcript.pyannote[4940].start 29263.81221875
transcript.pyannote[4940].end 29264.09909375
transcript.pyannote[4941].speaker SPEAKER_47
transcript.pyannote[4941].start 29264.40284375
transcript.pyannote[4941].end 29264.41971875
transcript.pyannote[4942].speaker SPEAKER_15
transcript.pyannote[4942].start 29264.41971875
transcript.pyannote[4942].end 29268.95909375
transcript.pyannote[4943].speaker SPEAKER_47
transcript.pyannote[4943].start 29267.05221875
transcript.pyannote[4943].end 29267.55846875
transcript.pyannote[4944].speaker SPEAKER_15
transcript.pyannote[4944].start 29269.19534375
transcript.pyannote[4944].end 29269.68471875
transcript.pyannote[4945].speaker SPEAKER_15
transcript.pyannote[4945].start 29270.39346875
transcript.pyannote[4945].end 29272.21596875
transcript.pyannote[4946].speaker SPEAKER_47
transcript.pyannote[4946].start 29271.22034375
transcript.pyannote[4946].end 29275.16909375
transcript.pyannote[4947].speaker SPEAKER_15
transcript.pyannote[4947].start 29272.50284375
transcript.pyannote[4947].end 29273.38034375
transcript.pyannote[4948].speaker SPEAKER_21
transcript.pyannote[4948].start 29275.16909375
transcript.pyannote[4948].end 29275.25346875
transcript.pyannote[4949].speaker SPEAKER_21
transcript.pyannote[4949].start 29275.32096875
transcript.pyannote[4949].end 29275.81034375
transcript.pyannote[4950].speaker SPEAKER_21
transcript.pyannote[4950].start 29275.96221875
transcript.pyannote[4950].end 29276.01284375
transcript.pyannote[4951].speaker SPEAKER_21
transcript.pyannote[4951].start 29276.33346875
transcript.pyannote[4951].end 29276.58659375
transcript.pyannote[4952].speaker SPEAKER_21
transcript.pyannote[4952].start 29276.82284375
transcript.pyannote[4952].end 29276.87346875
transcript.pyannote[4953].speaker SPEAKER_21
transcript.pyannote[4953].start 29276.97471875
transcript.pyannote[4953].end 29281.96971875
transcript.pyannote[4954].speaker SPEAKER_31
transcript.pyannote[4954].start 29281.96971875
transcript.pyannote[4954].end 29285.96909375
transcript.pyannote[4955].speaker SPEAKER_47
transcript.pyannote[4955].start 29284.92284375
transcript.pyannote[4955].end 29305.94909375
transcript.pyannote[4956].speaker SPEAKER_02
transcript.pyannote[4956].start 29304.21096875
transcript.pyannote[4956].end 29329.13534375
transcript.pyannote[4957].speaker SPEAKER_33
transcript.pyannote[4957].start 29320.76534375
transcript.pyannote[4957].end 29321.67659375
transcript.pyannote[4958].speaker SPEAKER_02
transcript.pyannote[4958].start 29329.47284375
transcript.pyannote[4958].end 29331.76784375
transcript.pyannote[4959].speaker SPEAKER_15
transcript.pyannote[4959].start 29330.26596875
transcript.pyannote[4959].end 29334.28221875
transcript.pyannote[4960].speaker SPEAKER_15
transcript.pyannote[4960].start 29334.67034375
transcript.pyannote[4960].end 29342.31471875
transcript.pyannote[4961].speaker SPEAKER_15
transcript.pyannote[4961].start 29342.60159375
transcript.pyannote[4961].end 29348.03534375
transcript.pyannote[4962].speaker SPEAKER_15
transcript.pyannote[4962].start 29348.47409375
transcript.pyannote[4962].end 29353.36784375
transcript.pyannote[4963].speaker SPEAKER_15
transcript.pyannote[4963].start 29354.09346875
transcript.pyannote[4963].end 29360.03346875
transcript.pyannote[4964].speaker SPEAKER_15
transcript.pyannote[4964].start 29360.50596875
transcript.pyannote[4964].end 29371.10346875
transcript.pyannote[4965].speaker SPEAKER_15
transcript.pyannote[4965].start 29371.39034375
transcript.pyannote[4965].end 29371.87971875
transcript.pyannote[4966].speaker SPEAKER_47
transcript.pyannote[4966].start 29372.60534375
transcript.pyannote[4966].end 29380.80659375
transcript.pyannote[4967].speaker SPEAKER_47
transcript.pyannote[4967].start 29381.12721875
transcript.pyannote[4967].end 29387.21909375
transcript.pyannote[4968].speaker SPEAKER_47
transcript.pyannote[4968].start 29387.69159375
transcript.pyannote[4968].end 29399.16659375
transcript.pyannote[4969].speaker SPEAKER_47
transcript.pyannote[4969].start 29400.61784375
transcript.pyannote[4969].end 29404.70159375
transcript.pyannote[4970].speaker SPEAKER_47
transcript.pyannote[4970].start 29404.85346875
transcript.pyannote[4970].end 29416.26096875
transcript.pyannote[4971].speaker SPEAKER_15
transcript.pyannote[4971].start 29420.98596875
transcript.pyannote[4971].end 29422.50471875
transcript.pyannote[4972].speaker SPEAKER_15
transcript.pyannote[4972].start 29423.16284375
transcript.pyannote[4972].end 29433.42284375
transcript.pyannote[4973].speaker SPEAKER_15
transcript.pyannote[4973].start 29434.08096875
transcript.pyannote[4973].end 29439.17721875
transcript.pyannote[4974].speaker SPEAKER_15
transcript.pyannote[4974].start 29439.51471875
transcript.pyannote[4974].end 29440.94909375
transcript.pyannote[4975].speaker SPEAKER_15
transcript.pyannote[4975].start 29441.26971875
transcript.pyannote[4975].end 29442.18096875
transcript.pyannote[4976].speaker SPEAKER_15
transcript.pyannote[4976].start 29442.31596875
transcript.pyannote[4976].end 29443.09221875
transcript.pyannote[4977].speaker SPEAKER_15
transcript.pyannote[4977].start 29443.39596875
transcript.pyannote[4977].end 29443.88534375
transcript.pyannote[4978].speaker SPEAKER_15
transcript.pyannote[4978].start 29444.59409375
transcript.pyannote[4978].end 29445.52221875
transcript.pyannote[4979].speaker SPEAKER_15
transcript.pyannote[4979].start 29445.80909375
transcript.pyannote[4979].end 29446.70346875
transcript.pyannote[4980].speaker SPEAKER_15
transcript.pyannote[4980].start 29447.05784375
transcript.pyannote[4980].end 29447.64846875
transcript.pyannote[4981].speaker SPEAKER_15
transcript.pyannote[4981].start 29448.20534375
transcript.pyannote[4981].end 29448.67784375
transcript.pyannote[4982].speaker SPEAKER_15
transcript.pyannote[4982].start 29449.15034375
transcript.pyannote[4982].end 29450.38221875
transcript.pyannote[4983].speaker SPEAKER_15
transcript.pyannote[4983].start 29450.68596875
transcript.pyannote[4983].end 29451.19221875
transcript.pyannote[4984].speaker SPEAKER_15
transcript.pyannote[4984].start 29451.63096875
transcript.pyannote[4984].end 29455.19159375
transcript.pyannote[4985].speaker SPEAKER_15
transcript.pyannote[4985].start 29455.63034375
transcript.pyannote[4985].end 29458.02659375
transcript.pyannote[4986].speaker SPEAKER_15
transcript.pyannote[4986].start 29458.34721875
transcript.pyannote[4986].end 29459.02221875
transcript.pyannote[4987].speaker SPEAKER_15
transcript.pyannote[4987].start 29460.72659375
transcript.pyannote[4987].end 29461.77284375
transcript.pyannote[4988].speaker SPEAKER_15
transcript.pyannote[4988].start 29462.66721875
transcript.pyannote[4988].end 29464.01721875
transcript.pyannote[4989].speaker SPEAKER_15
transcript.pyannote[4989].start 29464.11846875
transcript.pyannote[4989].end 29464.47284375
transcript.pyannote[4990].speaker SPEAKER_15
transcript.pyannote[4990].start 29464.94534375
transcript.pyannote[4990].end 29465.95784375
transcript.pyannote[4991].speaker SPEAKER_15
transcript.pyannote[4991].start 29466.51471875
transcript.pyannote[4991].end 29467.05471875
transcript.pyannote[4992].speaker SPEAKER_15
transcript.pyannote[4992].start 29467.13909375
transcript.pyannote[4992].end 29467.51034375
transcript.pyannote[4993].speaker SPEAKER_15
transcript.pyannote[4993].start 29468.33721875
transcript.pyannote[4993].end 29468.96159375
transcript.pyannote[4994].speaker SPEAKER_15
transcript.pyannote[4994].start 29469.13034375
transcript.pyannote[4994].end 29469.45096875
transcript.pyannote[4995].speaker SPEAKER_15
transcript.pyannote[4995].start 29469.80534375
transcript.pyannote[4995].end 29470.49721875
transcript.pyannote[4996].speaker SPEAKER_15
transcript.pyannote[4996].start 29470.75034375
transcript.pyannote[4996].end 29471.08784375
transcript.pyannote[4997].speaker SPEAKER_15
transcript.pyannote[4997].start 29471.50971875
transcript.pyannote[4997].end 29471.86409375
transcript.pyannote[4998].speaker SPEAKER_15
transcript.pyannote[4998].start 29472.37034375
transcript.pyannote[4998].end 29473.34909375
transcript.pyannote[4999].speaker SPEAKER_15
transcript.pyannote[4999].start 29473.88909375
transcript.pyannote[4999].end 29474.20971875
transcript.pyannote[5000].speaker SPEAKER_15
transcript.pyannote[5000].start 29474.88471875
transcript.pyannote[5000].end 29476.85909375
transcript.pyannote[5001].speaker SPEAKER_15
transcript.pyannote[5001].start 29477.43284375
transcript.pyannote[5001].end 29478.22596875
transcript.pyannote[5002].speaker SPEAKER_15
transcript.pyannote[5002].start 29480.03159375
transcript.pyannote[5002].end 29480.47034375
transcript.pyannote[5003].speaker SPEAKER_15
transcript.pyannote[5003].start 29480.99346875
transcript.pyannote[5003].end 29483.82846875
transcript.pyannote[5004].speaker SPEAKER_15
transcript.pyannote[5004].start 29485.21221875
transcript.pyannote[5004].end 29502.07034375
transcript.pyannote[5005].speaker SPEAKER_15
transcript.pyannote[5005].start 29502.72846875
transcript.pyannote[5005].end 29506.23846875
transcript.pyannote[5006].speaker SPEAKER_15
transcript.pyannote[5006].start 29506.67721875
transcript.pyannote[5006].end 29513.47784375
transcript.pyannote[5007].speaker SPEAKER_15
transcript.pyannote[5007].start 29513.76471875
transcript.pyannote[5007].end 29515.03034375
transcript.pyannote[5008].speaker SPEAKER_15
transcript.pyannote[5008].start 29515.90784375
transcript.pyannote[5008].end 29516.85284375
transcript.pyannote[5009].speaker SPEAKER_15
transcript.pyannote[5009].start 29517.13971875
transcript.pyannote[5009].end 29518.28721875
transcript.pyannote[5010].speaker SPEAKER_15
transcript.pyannote[5010].start 29518.67534375
transcript.pyannote[5010].end 29519.21534375
transcript.pyannote[5011].speaker SPEAKER_15
transcript.pyannote[5011].start 29519.83971875
transcript.pyannote[5011].end 29520.39659375
transcript.pyannote[5012].speaker SPEAKER_15
transcript.pyannote[5012].start 29520.56534375
transcript.pyannote[5012].end 29522.30346875
transcript.pyannote[5013].speaker SPEAKER_15
transcript.pyannote[5013].start 29523.28221875
transcript.pyannote[5013].end 29526.72471875
transcript.pyannote[5014].speaker SPEAKER_15
transcript.pyannote[5014].start 29526.94409375
transcript.pyannote[5014].end 29529.99846875
transcript.pyannote[5015].speaker SPEAKER_15
transcript.pyannote[5015].start 29530.35284375
transcript.pyannote[5015].end 29532.98534375
transcript.pyannote[5016].speaker SPEAKER_47
transcript.pyannote[5016].start 29535.22971875
transcript.pyannote[5016].end 29541.62534375
transcript.pyannote[5017].speaker SPEAKER_47
transcript.pyannote[5017].start 29541.91221875
transcript.pyannote[5017].end 29542.35096875
transcript.pyannote[5018].speaker SPEAKER_44
transcript.pyannote[5018].start 29542.46909375
transcript.pyannote[5018].end 29552.71221875
transcript.pyannote[5019].speaker SPEAKER_47
transcript.pyannote[5019].start 29553.33659375
transcript.pyannote[5019].end 29555.98596875
transcript.pyannote[5020].speaker SPEAKER_44
transcript.pyannote[5020].start 29555.56409375
transcript.pyannote[5020].end 29555.96909375
transcript.pyannote[5021].speaker SPEAKER_44
transcript.pyannote[5021].start 29555.98596875
transcript.pyannote[5021].end 29557.31909375
transcript.pyannote[5022].speaker SPEAKER_47
transcript.pyannote[5022].start 29556.72846875
transcript.pyannote[5022].end 29558.19659375
transcript.pyannote[5023].speaker SPEAKER_47
transcript.pyannote[5023].start 29559.36096875
transcript.pyannote[5023].end 29561.23409375
transcript.pyannote[5024].speaker SPEAKER_36
transcript.pyannote[5024].start 29561.72346875
transcript.pyannote[5024].end 29571.62909375
transcript.pyannote[5025].speaker SPEAKER_36
transcript.pyannote[5025].start 29572.05096875
transcript.pyannote[5025].end 29576.45534375
transcript.pyannote[5026].speaker SPEAKER_36
transcript.pyannote[5026].start 29577.13034375
transcript.pyannote[5026].end 29577.97409375
transcript.pyannote[5027].speaker SPEAKER_36
transcript.pyannote[5027].start 29578.76721875
transcript.pyannote[5027].end 29580.75846875
transcript.pyannote[5028].speaker SPEAKER_36
transcript.pyannote[5028].start 29581.38284375
transcript.pyannote[5028].end 29586.63096875
transcript.pyannote[5029].speaker SPEAKER_36
transcript.pyannote[5029].start 29587.08659375
transcript.pyannote[5029].end 29589.06096875
transcript.pyannote[5030].speaker SPEAKER_36
transcript.pyannote[5030].start 29590.71471875
transcript.pyannote[5030].end 29606.61096875
transcript.pyannote[5031].speaker SPEAKER_36
transcript.pyannote[5031].start 29608.01159375
transcript.pyannote[5031].end 29619.40221875
transcript.pyannote[5032].speaker SPEAKER_36
transcript.pyannote[5032].start 29619.70596875
transcript.pyannote[5032].end 29625.03846875
transcript.pyannote[5033].speaker SPEAKER_36
transcript.pyannote[5033].start 29625.42659375
transcript.pyannote[5033].end 29626.77659375
transcript.pyannote[5034].speaker SPEAKER_36
transcript.pyannote[5034].start 29627.16471875
transcript.pyannote[5034].end 29628.51471875
transcript.pyannote[5035].speaker SPEAKER_04
transcript.pyannote[5035].start 29629.96596875
transcript.pyannote[5035].end 29631.43409375
transcript.pyannote[5036].speaker SPEAKER_47
transcript.pyannote[5036].start 29633.05409375
transcript.pyannote[5036].end 29634.10034375
transcript.pyannote[5037].speaker SPEAKER_47
transcript.pyannote[5037].start 29634.48846875
transcript.pyannote[5037].end 29634.64034375
transcript.pyannote[5038].speaker SPEAKER_47
transcript.pyannote[5038].start 29634.72471875
transcript.pyannote[5038].end 29635.33221875
transcript.pyannote[5039].speaker SPEAKER_04
transcript.pyannote[5039].start 29635.82159375
transcript.pyannote[5039].end 29635.93971875
transcript.pyannote[5040].speaker SPEAKER_47
transcript.pyannote[5040].start 29635.93971875
transcript.pyannote[5040].end 29636.12534375
transcript.pyannote[5041].speaker SPEAKER_04
transcript.pyannote[5041].start 29636.12534375
transcript.pyannote[5041].end 29636.32784375
transcript.pyannote[5042].speaker SPEAKER_47
transcript.pyannote[5042].start 29636.32784375
transcript.pyannote[5042].end 29638.03221875
transcript.pyannote[5043].speaker SPEAKER_04
transcript.pyannote[5043].start 29637.23909375
transcript.pyannote[5043].end 29637.64409375
transcript.pyannote[5044].speaker SPEAKER_47
transcript.pyannote[5044].start 29638.77471875
transcript.pyannote[5044].end 29649.16971875
transcript.pyannote[5045].speaker SPEAKER_36
transcript.pyannote[5045].start 29649.16971875
transcript.pyannote[5045].end 29650.18221875
transcript.pyannote[5046].speaker SPEAKER_47
transcript.pyannote[5046].start 29649.22034375
transcript.pyannote[5046].end 29649.28784375
transcript.pyannote[5047].speaker SPEAKER_47
transcript.pyannote[5047].start 29649.38909375
transcript.pyannote[5047].end 29652.22409375
transcript.pyannote[5048].speaker SPEAKER_09
transcript.pyannote[5048].start 29650.18221875
transcript.pyannote[5048].end 29650.23284375
transcript.pyannote[5049].speaker SPEAKER_36
transcript.pyannote[5049].start 29650.23284375
transcript.pyannote[5049].end 29650.24971875
transcript.pyannote[5050].speaker SPEAKER_09
transcript.pyannote[5050].start 29650.24971875
transcript.pyannote[5050].end 29655.73409375
transcript.pyannote[5051].speaker SPEAKER_09
transcript.pyannote[5051].start 29656.64534375
transcript.pyannote[5051].end 29666.26409375
transcript.pyannote[5052].speaker SPEAKER_47
transcript.pyannote[5052].start 29666.55096875
transcript.pyannote[5052].end 29666.56784375
transcript.pyannote[5053].speaker SPEAKER_09
transcript.pyannote[5053].start 29666.56784375
transcript.pyannote[5053].end 29671.41096875
transcript.pyannote[5054].speaker SPEAKER_47
transcript.pyannote[5054].start 29666.58471875
transcript.pyannote[5054].end 29667.44534375
transcript.pyannote[5055].speaker SPEAKER_34
transcript.pyannote[5055].start 29667.44534375
transcript.pyannote[5055].end 29667.85034375
transcript.pyannote[5056].speaker SPEAKER_47
transcript.pyannote[5056].start 29667.85034375
transcript.pyannote[5056].end 29667.88409375
transcript.pyannote[5057].speaker SPEAKER_42
transcript.pyannote[5057].start 29667.88409375
transcript.pyannote[5057].end 29667.95159375
transcript.pyannote[5058].speaker SPEAKER_42
transcript.pyannote[5058].start 29672.27159375
transcript.pyannote[5058].end 29672.84534375
transcript.pyannote[5059].speaker SPEAKER_36
transcript.pyannote[5059].start 29672.84534375
transcript.pyannote[5059].end 29672.86221875
transcript.pyannote[5060].speaker SPEAKER_09
transcript.pyannote[5060].start 29673.06471875
transcript.pyannote[5060].end 29677.23284375
transcript.pyannote[5061].speaker SPEAKER_36
transcript.pyannote[5061].start 29677.77284375
transcript.pyannote[5061].end 29682.41346875
transcript.pyannote[5062].speaker SPEAKER_09
transcript.pyannote[5062].start 29681.29971875
transcript.pyannote[5062].end 29698.96784375
transcript.pyannote[5063].speaker SPEAKER_11
transcript.pyannote[5063].start 29696.63909375
transcript.pyannote[5063].end 29696.67284375
transcript.pyannote[5064].speaker SPEAKER_42
transcript.pyannote[5064].start 29696.67284375
transcript.pyannote[5064].end 29698.27596875
transcript.pyannote[5065].speaker SPEAKER_35
transcript.pyannote[5065].start 29698.27596875
transcript.pyannote[5065].end 29698.69784375
transcript.pyannote[5066].speaker SPEAKER_09
transcript.pyannote[5066].start 29701.17846875
transcript.pyannote[5066].end 29703.91221875
transcript.pyannote[5067].speaker SPEAKER_35
transcript.pyannote[5067].start 29703.54096875
transcript.pyannote[5067].end 29706.96659375
transcript.pyannote[5068].speaker SPEAKER_09
transcript.pyannote[5068].start 29706.15659375
transcript.pyannote[5068].end 29709.37971875
transcript.pyannote[5069].speaker SPEAKER_36
transcript.pyannote[5069].start 29706.96659375
transcript.pyannote[5069].end 29708.50221875
transcript.pyannote[5070].speaker SPEAKER_36
transcript.pyannote[5070].start 29710.72971875
transcript.pyannote[5070].end 29724.39846875
transcript.pyannote[5071].speaker SPEAKER_09
transcript.pyannote[5071].start 29711.60721875
transcript.pyannote[5071].end 29712.73784375
transcript.pyannote[5072].speaker SPEAKER_09
transcript.pyannote[5072].start 29715.16784375
transcript.pyannote[5072].end 29718.67784375
transcript.pyannote[5073].speaker SPEAKER_47
transcript.pyannote[5073].start 29724.11159375
transcript.pyannote[5073].end 29724.98909375
transcript.pyannote[5074].speaker SPEAKER_36
transcript.pyannote[5074].start 29724.98909375
transcript.pyannote[5074].end 29738.03346875
transcript.pyannote[5075].speaker SPEAKER_36
transcript.pyannote[5075].start 29738.69159375
transcript.pyannote[5075].end 29746.97721875
transcript.pyannote[5076].speaker SPEAKER_36
transcript.pyannote[5076].start 29747.02784375
transcript.pyannote[5076].end 29751.92159375
transcript.pyannote[5077].speaker SPEAKER_09
transcript.pyannote[5077].start 29751.26346875
transcript.pyannote[5077].end 29753.25471875
transcript.pyannote[5078].speaker SPEAKER_36
transcript.pyannote[5078].start 29752.68096875
transcript.pyannote[5078].end 29759.95409375
transcript.pyannote[5079].speaker SPEAKER_36
transcript.pyannote[5079].start 29760.44346875
transcript.pyannote[5079].end 29763.16034375
transcript.pyannote[5080].speaker SPEAKER_09
transcript.pyannote[5080].start 29762.46846875
transcript.pyannote[5080].end 29776.27221875
transcript.pyannote[5081].speaker SPEAKER_09
transcript.pyannote[5081].start 29776.84596875
transcript.pyannote[5081].end 29781.35159375
transcript.pyannote[5082].speaker SPEAKER_09
transcript.pyannote[5082].start 29782.00971875
transcript.pyannote[5082].end 29785.03034375
transcript.pyannote[5083].speaker SPEAKER_09
transcript.pyannote[5083].start 29785.38471875
transcript.pyannote[5083].end 29786.85284375
transcript.pyannote[5084].speaker SPEAKER_09
transcript.pyannote[5084].start 29788.75971875
transcript.pyannote[5084].end 29790.63284375
transcript.pyannote[5085].speaker SPEAKER_42
transcript.pyannote[5085].start 29789.58659375
transcript.pyannote[5085].end 29789.90721875
transcript.pyannote[5086].speaker SPEAKER_42
transcript.pyannote[5086].start 29790.63284375
transcript.pyannote[5086].end 29792.01659375
transcript.pyannote[5087].speaker SPEAKER_09
transcript.pyannote[5087].start 29792.01659375
transcript.pyannote[5087].end 29797.51784375
transcript.pyannote[5088].speaker SPEAKER_42
transcript.pyannote[5088].start 29792.03346875
transcript.pyannote[5088].end 29792.05034375
transcript.pyannote[5089].speaker SPEAKER_09
transcript.pyannote[5089].start 29798.63159375
transcript.pyannote[5089].end 29801.77034375
transcript.pyannote[5090].speaker SPEAKER_47
transcript.pyannote[5090].start 29798.91846875
transcript.pyannote[5090].end 29798.93534375
transcript.pyannote[5091].speaker SPEAKER_42
transcript.pyannote[5091].start 29798.93534375
transcript.pyannote[5091].end 29799.35721875
transcript.pyannote[5092].speaker SPEAKER_09
transcript.pyannote[5092].start 29801.97284375
transcript.pyannote[5092].end 29802.07409375
transcript.pyannote[5093].speaker SPEAKER_09
transcript.pyannote[5093].start 29802.34409375
transcript.pyannote[5093].end 29805.49971875
transcript.pyannote[5094].speaker SPEAKER_47
transcript.pyannote[5094].start 29804.52096875
transcript.pyannote[5094].end 29804.63909375
transcript.pyannote[5095].speaker SPEAKER_47
transcript.pyannote[5095].start 29804.70659375
transcript.pyannote[5095].end 29804.94284375
transcript.pyannote[5096].speaker SPEAKER_40
transcript.pyannote[5096].start 29804.94284375
transcript.pyannote[5096].end 29805.02721875
transcript.pyannote[5097].speaker SPEAKER_47
transcript.pyannote[5097].start 29805.02721875
transcript.pyannote[5097].end 29805.41534375
transcript.pyannote[5098].speaker SPEAKER_40
transcript.pyannote[5098].start 29805.41534375
transcript.pyannote[5098].end 29805.48284375
transcript.pyannote[5099].speaker SPEAKER_42
transcript.pyannote[5099].start 29805.49971875
transcript.pyannote[5099].end 29805.80346875
transcript.pyannote[5100].speaker SPEAKER_40
transcript.pyannote[5100].start 29805.80346875
transcript.pyannote[5100].end 29806.15784375
transcript.pyannote[5101].speaker SPEAKER_42
transcript.pyannote[5101].start 29806.15784375
transcript.pyannote[5101].end 29806.41096875
transcript.pyannote[5102].speaker SPEAKER_47
transcript.pyannote[5102].start 29809.85346875
transcript.pyannote[5102].end 29810.29221875
transcript.pyannote[5103].speaker SPEAKER_47
transcript.pyannote[5103].start 29811.82784375
transcript.pyannote[5103].end 29815.47284375
transcript.pyannote[5104].speaker SPEAKER_09
transcript.pyannote[5104].start 29815.47284375
transcript.pyannote[5104].end 29817.54846875
transcript.pyannote[5105].speaker SPEAKER_47
transcript.pyannote[5105].start 29815.86096875
transcript.pyannote[5105].end 29816.31659375
transcript.pyannote[5106].speaker SPEAKER_47
transcript.pyannote[5106].start 29817.49784375
transcript.pyannote[5106].end 29825.66534375
transcript.pyannote[5107].speaker SPEAKER_09
transcript.pyannote[5107].start 29817.80159375
transcript.pyannote[5107].end 29818.02096875
transcript.pyannote[5108].speaker SPEAKER_09
transcript.pyannote[5108].start 29822.79659375
transcript.pyannote[5108].end 29823.97784375
transcript.pyannote[5109].speaker SPEAKER_42
transcript.pyannote[5109].start 29823.97784375
transcript.pyannote[5109].end 29825.58096875
transcript.pyannote[5110].speaker SPEAKER_47
transcript.pyannote[5110].start 29826.01971875
transcript.pyannote[5110].end 29827.36971875
transcript.pyannote[5111].speaker SPEAKER_47
transcript.pyannote[5111].start 29828.53409375
transcript.pyannote[5111].end 29844.04221875
transcript.pyannote[5112].speaker SPEAKER_47
transcript.pyannote[5112].start 29846.03346875
transcript.pyannote[5112].end 29847.70409375
transcript.pyannote[5113].speaker SPEAKER_31
transcript.pyannote[5113].start 29847.21471875
transcript.pyannote[5113].end 29847.58596875
transcript.pyannote[5114].speaker SPEAKER_31
transcript.pyannote[5114].start 29848.15971875
transcript.pyannote[5114].end 29849.96534375
transcript.pyannote[5115].speaker SPEAKER_32
transcript.pyannote[5115].start 29849.96534375
transcript.pyannote[5115].end 29850.28596875
transcript.pyannote[5116].speaker SPEAKER_31
transcript.pyannote[5116].start 29850.28596875
transcript.pyannote[5116].end 29850.45471875
transcript.pyannote[5117].speaker SPEAKER_47
transcript.pyannote[5117].start 29851.36596875
transcript.pyannote[5117].end 29853.76221875
transcript.pyannote[5118].speaker SPEAKER_36
transcript.pyannote[5118].start 29853.13784375
transcript.pyannote[5118].end 29858.01471875
transcript.pyannote[5119].speaker SPEAKER_36
transcript.pyannote[5119].start 29858.55471875
transcript.pyannote[5119].end 29867.48159375
transcript.pyannote[5120].speaker SPEAKER_47
transcript.pyannote[5120].start 29866.78971875
transcript.pyannote[5120].end 29866.94159375
transcript.pyannote[5121].speaker SPEAKER_47
transcript.pyannote[5121].start 29867.88659375
transcript.pyannote[5121].end 29868.27471875
transcript.pyannote[5122].speaker SPEAKER_47
transcript.pyannote[5122].start 29868.61221875
transcript.pyannote[5122].end 29876.84721875
transcript.pyannote[5123].speaker SPEAKER_36
transcript.pyannote[5123].start 29876.84721875
transcript.pyannote[5123].end 29882.50034375
transcript.pyannote[5124].speaker SPEAKER_47
transcript.pyannote[5124].start 29883.39471875
transcript.pyannote[5124].end 29888.54159375
transcript.pyannote[5125].speaker SPEAKER_42
transcript.pyannote[5125].start 29888.06909375
transcript.pyannote[5125].end 29888.45721875
transcript.pyannote[5126].speaker SPEAKER_42
transcript.pyannote[5126].start 29888.52471875
transcript.pyannote[5126].end 29888.98034375
transcript.pyannote[5127].speaker SPEAKER_47
transcript.pyannote[5127].start 29888.72721875
transcript.pyannote[5127].end 29888.74409375
transcript.pyannote[5128].speaker SPEAKER_47
transcript.pyannote[5128].start 29888.86221875
transcript.pyannote[5128].end 29899.35846875
transcript.pyannote[5129].speaker SPEAKER_47
transcript.pyannote[5129].start 29899.66221875
transcript.pyannote[5129].end 29906.63159375
transcript.pyannote[5130].speaker SPEAKER_30
transcript.pyannote[5130].start 29907.25596875
transcript.pyannote[5130].end 29919.87846875
transcript.pyannote[5131].speaker SPEAKER_30
transcript.pyannote[5131].start 29921.31284375
transcript.pyannote[5131].end 29922.52784375
transcript.pyannote[5132].speaker SPEAKER_47
transcript.pyannote[5132].start 29923.48971875
transcript.pyannote[5132].end 29925.91971875
transcript.pyannote[5133].speaker SPEAKER_36
transcript.pyannote[5133].start 29926.24034375
transcript.pyannote[5133].end 29943.60471875
transcript.pyannote[5134].speaker SPEAKER_36
transcript.pyannote[5134].start 29944.19534375
transcript.pyannote[5134].end 29958.13409375
transcript.pyannote[5135].speaker SPEAKER_36
transcript.pyannote[5135].start 29958.38721875
transcript.pyannote[5135].end 29962.82534375
transcript.pyannote[5136].speaker SPEAKER_47
transcript.pyannote[5136].start 29963.50034375
transcript.pyannote[5136].end 29966.67284375
transcript.pyannote[5137].speaker SPEAKER_30
transcript.pyannote[5137].start 29967.14534375
transcript.pyannote[5137].end 29972.86596875
transcript.pyannote[5138].speaker SPEAKER_47
transcript.pyannote[5138].start 29973.27096875
transcript.pyannote[5138].end 29977.75971875
transcript.pyannote[5139].speaker SPEAKER_30
transcript.pyannote[5139].start 29974.41846875
transcript.pyannote[5139].end 29976.13971875
transcript.pyannote[5140].speaker SPEAKER_36
transcript.pyannote[5140].start 29976.13971875
transcript.pyannote[5140].end 29976.24096875
transcript.pyannote[5141].speaker SPEAKER_36
transcript.pyannote[5141].start 29976.39284375
transcript.pyannote[5141].end 29976.44346875
transcript.pyannote[5142].speaker SPEAKER_36
transcript.pyannote[5142].start 29976.56159375
transcript.pyannote[5142].end 29976.62909375
transcript.pyannote[5143].speaker SPEAKER_30
transcript.pyannote[5143].start 29976.62909375
transcript.pyannote[5143].end 29976.96659375
transcript.pyannote[5144].speaker SPEAKER_36
transcript.pyannote[5144].start 29976.96659375
transcript.pyannote[5144].end 29977.23659375
transcript.pyannote[5145].speaker SPEAKER_36
transcript.pyannote[5145].start 29977.75971875
transcript.pyannote[5145].end 29977.79346875
transcript.pyannote[5146].speaker SPEAKER_47
transcript.pyannote[5146].start 29977.79346875
transcript.pyannote[5146].end 29977.82721875
transcript.pyannote[5147].speaker SPEAKER_47
transcript.pyannote[5147].start 29977.96221875
transcript.pyannote[5147].end 29978.02971875
transcript.pyannote[5148].speaker SPEAKER_47
transcript.pyannote[5148].start 29978.23221875
transcript.pyannote[5148].end 29978.77221875
transcript.pyannote[5149].speaker SPEAKER_36
transcript.pyannote[5149].start 29978.63721875
transcript.pyannote[5149].end 29980.13909375
transcript.pyannote[5150].speaker SPEAKER_47
transcript.pyannote[5150].start 29979.80159375
transcript.pyannote[5150].end 29984.76284375
transcript.pyannote[5151].speaker SPEAKER_36
transcript.pyannote[5151].start 29982.02909375
transcript.pyannote[5151].end 29982.58596875
transcript.pyannote[5152].speaker SPEAKER_30
transcript.pyannote[5152].start 29985.50534375
transcript.pyannote[5152].end 29985.52221875
transcript.pyannote[5153].speaker SPEAKER_36
transcript.pyannote[5153].start 29985.52221875
transcript.pyannote[5153].end 29985.64034375
transcript.pyannote[5154].speaker SPEAKER_47
transcript.pyannote[5154].start 29985.64034375
transcript.pyannote[5154].end 29986.07909375
transcript.pyannote[5155].speaker SPEAKER_30
transcript.pyannote[5155].start 29985.65721875
transcript.pyannote[5155].end 29985.94409375
transcript.pyannote[5156].speaker SPEAKER_42
transcript.pyannote[5156].start 29985.94409375
transcript.pyannote[5156].end 29986.18034375
transcript.pyannote[5157].speaker SPEAKER_30
transcript.pyannote[5157].start 29986.07909375
transcript.pyannote[5157].end 29987.15909375
transcript.pyannote[5158].speaker SPEAKER_47
transcript.pyannote[5158].start 29986.18034375
transcript.pyannote[5158].end 29989.20096875
transcript.pyannote[5159].speaker SPEAKER_30
transcript.pyannote[5159].start 29988.17159375
transcript.pyannote[5159].end 29989.09971875
transcript.pyannote[5160].speaker SPEAKER_47
transcript.pyannote[5160].start 29989.47096875
transcript.pyannote[5160].end 29990.98971875
transcript.pyannote[5161].speaker SPEAKER_30
transcript.pyannote[5161].start 29990.88846875
transcript.pyannote[5161].end 29991.79971875
transcript.pyannote[5162].speaker SPEAKER_47
transcript.pyannote[5162].start 29991.74909375
transcript.pyannote[5162].end 29997.16596875
transcript.pyannote[5163].speaker SPEAKER_47
transcript.pyannote[5163].start 29997.50346875
transcript.pyannote[5163].end 30001.38471875
transcript.pyannote[5164].speaker SPEAKER_47
transcript.pyannote[5164].start 30001.67159375
transcript.pyannote[5164].end 30003.91596875
transcript.pyannote[5165].speaker SPEAKER_47
transcript.pyannote[5165].start 30004.06784375
transcript.pyannote[5165].end 30007.69596875
transcript.pyannote[5166].speaker SPEAKER_47
transcript.pyannote[5166].start 30008.03346875
transcript.pyannote[5166].end 30011.59409375
transcript.pyannote[5167].speaker SPEAKER_47
transcript.pyannote[5167].start 30012.77534375
transcript.pyannote[5167].end 30014.19284375
transcript.pyannote[5168].speaker SPEAKER_03
transcript.pyannote[5168].start 30014.34471875
transcript.pyannote[5168].end 30177.82971875
transcript.pyannote[5169].speaker SPEAKER_47
transcript.pyannote[5169].start 30178.45409375
transcript.pyannote[5169].end 30181.84596875
transcript.pyannote[5170].speaker SPEAKER_21
transcript.pyannote[5170].start 30183.02721875
transcript.pyannote[5170].end 30218.56596875
transcript.pyannote[5171].speaker SPEAKER_47
transcript.pyannote[5171].start 30218.88659375
transcript.pyannote[5171].end 30223.40909375
transcript.pyannote[5172].speaker SPEAKER_30
transcript.pyannote[5172].start 30224.91096875
transcript.pyannote[5172].end 30263.20034375
transcript.pyannote[5173].speaker SPEAKER_47
transcript.pyannote[5173].start 30263.63909375
transcript.pyannote[5173].end 30268.65096875
transcript.pyannote[5174].speaker SPEAKER_47
transcript.pyannote[5174].start 30269.30909375
transcript.pyannote[5174].end 30270.49034375
transcript.pyannote[5175].speaker SPEAKER_09
transcript.pyannote[5175].start 30270.97971875
transcript.pyannote[5175].end 30271.31721875
transcript.pyannote[5176].speaker SPEAKER_09
transcript.pyannote[5176].start 30271.43534375
transcript.pyannote[5176].end 30278.30346875
transcript.pyannote[5177].speaker SPEAKER_09
transcript.pyannote[5177].start 30278.69159375
transcript.pyannote[5177].end 30283.01159375
transcript.pyannote[5178].speaker SPEAKER_09
transcript.pyannote[5178].start 30283.34909375
transcript.pyannote[5178].end 30300.22409375
transcript.pyannote[5179].speaker SPEAKER_09
transcript.pyannote[5179].start 30300.56159375
transcript.pyannote[5179].end 30306.01221875
transcript.pyannote[5180].speaker SPEAKER_09
transcript.pyannote[5180].start 30306.19784375
transcript.pyannote[5180].end 30339.79596875
transcript.pyannote[5181].speaker SPEAKER_09
transcript.pyannote[5181].start 30341.19659375
transcript.pyannote[5181].end 30346.49534375
transcript.pyannote[5182].speaker SPEAKER_09
transcript.pyannote[5182].start 30346.98471875
transcript.pyannote[5182].end 30348.18284375
transcript.pyannote[5183].speaker SPEAKER_09
transcript.pyannote[5183].start 30348.38534375
transcript.pyannote[5183].end 30354.94971875
transcript.pyannote[5184].speaker SPEAKER_47
transcript.pyannote[5184].start 30355.42221875
transcript.pyannote[5184].end 30360.02909375
transcript.pyannote[5185].speaker SPEAKER_47
transcript.pyannote[5185].start 30360.19784375
transcript.pyannote[5185].end 30362.91471875
transcript.pyannote[5186].speaker SPEAKER_36
transcript.pyannote[5186].start 30363.23534375
transcript.pyannote[5186].end 30383.36721875
transcript.pyannote[5187].speaker SPEAKER_36
transcript.pyannote[5187].start 30383.62034375
transcript.pyannote[5187].end 30391.53471875
transcript.pyannote[5188].speaker SPEAKER_36
transcript.pyannote[5188].start 30392.15909375
transcript.pyannote[5188].end 30397.64346875
transcript.pyannote[5189].speaker SPEAKER_36
transcript.pyannote[5189].start 30398.21721875
transcript.pyannote[5189].end 30427.54596875
transcript.pyannote[5190].speaker SPEAKER_36
transcript.pyannote[5190].start 30427.95096875
transcript.pyannote[5190].end 30433.82346875
transcript.pyannote[5191].speaker SPEAKER_36
transcript.pyannote[5191].start 30433.95846875
transcript.pyannote[5191].end 30452.11596875
transcript.pyannote[5192].speaker SPEAKER_36
transcript.pyannote[5192].start 30452.40284375
transcript.pyannote[5192].end 30467.53971875
transcript.pyannote[5193].speaker SPEAKER_36
transcript.pyannote[5193].start 30468.31596875
transcript.pyannote[5193].end 30471.08346875
transcript.pyannote[5194].speaker SPEAKER_36
transcript.pyannote[5194].start 30471.65721875
transcript.pyannote[5194].end 30473.36159375
transcript.pyannote[5195].speaker SPEAKER_36
transcript.pyannote[5195].start 30473.83409375
transcript.pyannote[5195].end 30476.82096875
transcript.pyannote[5196].speaker SPEAKER_36
transcript.pyannote[5196].start 30477.34409375
transcript.pyannote[5196].end 30484.09409375
transcript.pyannote[5197].speaker SPEAKER_36
transcript.pyannote[5197].start 30485.05596875
transcript.pyannote[5197].end 30486.57471875
transcript.pyannote[5198].speaker SPEAKER_36
transcript.pyannote[5198].start 30486.99659375
transcript.pyannote[5198].end 30491.90721875
transcript.pyannote[5199].speaker SPEAKER_36
transcript.pyannote[5199].start 30492.61596875
transcript.pyannote[5199].end 30494.37096875
transcript.pyannote[5200].speaker SPEAKER_36
transcript.pyannote[5200].start 30495.06284375
transcript.pyannote[5200].end 30497.30721875
transcript.pyannote[5201].speaker SPEAKER_36
transcript.pyannote[5201].start 30497.67846875
transcript.pyannote[5201].end 30499.19721875
transcript.pyannote[5202].speaker SPEAKER_36
transcript.pyannote[5202].start 30499.66971875
transcript.pyannote[5202].end 30525.79221875
transcript.pyannote[5203].speaker SPEAKER_36
transcript.pyannote[5203].start 30526.11284375
transcript.pyannote[5203].end 30543.07221875
transcript.pyannote[5204].speaker SPEAKER_36
transcript.pyannote[5204].start 30543.42659375
transcript.pyannote[5204].end 30551.50971875
transcript.pyannote[5205].speaker SPEAKER_36
transcript.pyannote[5205].start 30551.79659375
transcript.pyannote[5205].end 30568.67159375
transcript.pyannote[5206].speaker SPEAKER_36
transcript.pyannote[5206].start 30568.99221875
transcript.pyannote[5206].end 30573.16034375
transcript.pyannote[5207].speaker SPEAKER_36
transcript.pyannote[5207].start 30573.26159375
transcript.pyannote[5207].end 30590.22096875
transcript.pyannote[5208].speaker SPEAKER_36
transcript.pyannote[5208].start 30590.47409375
transcript.pyannote[5208].end 30594.23721875
transcript.pyannote[5209].speaker SPEAKER_36
transcript.pyannote[5209].start 30594.91221875
transcript.pyannote[5209].end 30600.63284375
transcript.pyannote[5210].speaker SPEAKER_36
transcript.pyannote[5210].start 30601.25721875
transcript.pyannote[5210].end 30615.70221875
transcript.pyannote[5211].speaker SPEAKER_36
transcript.pyannote[5211].start 30616.30971875
transcript.pyannote[5211].end 30618.31784375
transcript.pyannote[5212].speaker SPEAKER_36
transcript.pyannote[5212].start 30618.80721875
transcript.pyannote[5212].end 30654.12659375
transcript.pyannote[5213].speaker SPEAKER_36
transcript.pyannote[5213].start 30656.45534375
transcript.pyannote[5213].end 30656.94471875
transcript.pyannote[5214].speaker SPEAKER_36
transcript.pyannote[5214].start 30658.22721875
transcript.pyannote[5214].end 30666.73221875
transcript.pyannote[5215].speaker SPEAKER_36
transcript.pyannote[5215].start 30667.82909375
transcript.pyannote[5215].end 30681.37971875
transcript.pyannote[5216].speaker SPEAKER_36
transcript.pyannote[5216].start 30681.91971875
transcript.pyannote[5216].end 30683.30346875
transcript.pyannote[5217].speaker SPEAKER_36
transcript.pyannote[5217].start 30683.69159375
transcript.pyannote[5217].end 30685.24409375
transcript.pyannote[5218].speaker SPEAKER_36
transcript.pyannote[5218].start 30685.75034375
transcript.pyannote[5218].end 30687.97784375
transcript.pyannote[5219].speaker SPEAKER_36
transcript.pyannote[5219].start 30688.55159375
transcript.pyannote[5219].end 30690.34034375
transcript.pyannote[5220].speaker SPEAKER_36
transcript.pyannote[5220].start 30690.94784375
transcript.pyannote[5220].end 30693.88409375
transcript.pyannote[5221].speaker SPEAKER_36
transcript.pyannote[5221].start 30694.13721875
transcript.pyannote[5221].end 30699.95909375
transcript.pyannote[5222].speaker SPEAKER_36
transcript.pyannote[5222].start 30700.75221875
transcript.pyannote[5222].end 30713.64471875
transcript.pyannote[5223].speaker SPEAKER_36
transcript.pyannote[5223].start 30714.82596875
transcript.pyannote[5223].end 30733.32096875
transcript.pyannote[5224].speaker SPEAKER_36
transcript.pyannote[5224].start 30733.91159375
transcript.pyannote[5224].end 30734.28284375
transcript.pyannote[5225].speaker SPEAKER_36
transcript.pyannote[5225].start 30734.77221875
transcript.pyannote[5225].end 30740.07096875
transcript.pyannote[5226].speaker SPEAKER_36
transcript.pyannote[5226].start 30740.40846875
transcript.pyannote[5226].end 30745.38659375
transcript.pyannote[5227].speaker SPEAKER_36
transcript.pyannote[5227].start 30745.94346875
transcript.pyannote[5227].end 30753.06471875
transcript.pyannote[5228].speaker SPEAKER_36
transcript.pyannote[5228].start 30753.53721875
transcript.pyannote[5228].end 30757.65471875
transcript.pyannote[5229].speaker SPEAKER_36
transcript.pyannote[5229].start 30757.99221875
transcript.pyannote[5229].end 30764.84346875
transcript.pyannote[5230].speaker SPEAKER_36
transcript.pyannote[5230].start 30766.22721875
transcript.pyannote[5230].end 30767.39159375
transcript.pyannote[5231].speaker SPEAKER_36
transcript.pyannote[5231].start 30768.70784375
transcript.pyannote[5231].end 30771.55971875
transcript.pyannote[5232].speaker SPEAKER_47
transcript.pyannote[5232].start 30770.86784375
transcript.pyannote[5232].end 30778.88346875
transcript.pyannote[5233].speaker SPEAKER_47
transcript.pyannote[5233].start 30778.93409375
transcript.pyannote[5233].end 30790.51034375
transcript.pyannote[5234].speaker SPEAKER_44
transcript.pyannote[5234].start 30790.51034375
transcript.pyannote[5234].end 30790.96596875
transcript.pyannote[5235].speaker SPEAKER_47
transcript.pyannote[5235].start 30790.96596875
transcript.pyannote[5235].end 30791.03346875
transcript.pyannote[5236].speaker SPEAKER_44
transcript.pyannote[5236].start 30791.03346875
transcript.pyannote[5236].end 30827.53409375
transcript.pyannote[5237].speaker SPEAKER_44
transcript.pyannote[5237].start 30827.98971875
transcript.pyannote[5237].end 30858.78659375
transcript.pyannote[5238].speaker SPEAKER_44
transcript.pyannote[5238].start 30859.30971875
transcript.pyannote[5238].end 30867.96659375
transcript.pyannote[5239].speaker SPEAKER_47
transcript.pyannote[5239].start 30867.96659375
transcript.pyannote[5239].end 30870.10971875
transcript.pyannote[5240].speaker SPEAKER_25
transcript.pyannote[5240].start 30872.48909375
transcript.pyannote[5240].end 30880.57221875
transcript.pyannote[5241].speaker SPEAKER_25
transcript.pyannote[5241].start 30880.58909375
transcript.pyannote[5241].end 30906.39096875
transcript.pyannote[5242].speaker SPEAKER_25
transcript.pyannote[5242].start 30906.64409375
transcript.pyannote[5242].end 30917.03909375
transcript.pyannote[5243].speaker SPEAKER_25
transcript.pyannote[5243].start 30917.34284375
transcript.pyannote[5243].end 30949.82721875
transcript.pyannote[5244].speaker SPEAKER_47
transcript.pyannote[5244].start 30949.97909375
transcript.pyannote[5244].end 30953.50596875
transcript.pyannote[5245].speaker SPEAKER_25
transcript.pyannote[5245].start 30953.60721875
transcript.pyannote[5245].end 30953.62409375
transcript.pyannote[5246].speaker SPEAKER_03
transcript.pyannote[5246].start 30953.62409375
transcript.pyannote[5246].end 30956.50971875
transcript.pyannote[5247].speaker SPEAKER_47
transcript.pyannote[5247].start 30953.92784375
transcript.pyannote[5247].end 30954.21471875
transcript.pyannote[5248].speaker SPEAKER_03
transcript.pyannote[5248].start 30956.72909375
transcript.pyannote[5248].end 30977.58659375
transcript.pyannote[5249].speaker SPEAKER_42
transcript.pyannote[5249].start 30977.97471875
transcript.pyannote[5249].end 30978.24471875
transcript.pyannote[5250].speaker SPEAKER_03
transcript.pyannote[5250].start 30978.31221875
transcript.pyannote[5250].end 30987.47534375
transcript.pyannote[5251].speaker SPEAKER_03
transcript.pyannote[5251].start 30987.98159375
transcript.pyannote[5251].end 31102.56284375
transcript.pyannote[5252].speaker SPEAKER_47
transcript.pyannote[5252].start 31103.76096875
transcript.pyannote[5252].end 31106.17409375
transcript.pyannote[5253].speaker SPEAKER_36
transcript.pyannote[5253].start 31108.28346875
transcript.pyannote[5253].end 31113.59909375
transcript.pyannote[5254].speaker SPEAKER_36
transcript.pyannote[5254].start 31114.99971875
transcript.pyannote[5254].end 31118.54346875
transcript.pyannote[5255].speaker SPEAKER_36
transcript.pyannote[5255].start 31118.74596875
transcript.pyannote[5255].end 31152.41159375
transcript.pyannote[5256].speaker SPEAKER_36
transcript.pyannote[5256].start 31153.08659375
transcript.pyannote[5256].end 31159.44846875
transcript.pyannote[5257].speaker SPEAKER_36
transcript.pyannote[5257].start 31160.15721875
transcript.pyannote[5257].end 31169.91096875
transcript.pyannote[5258].speaker SPEAKER_36
transcript.pyannote[5258].start 31169.94471875
transcript.pyannote[5258].end 31172.69534375
transcript.pyannote[5259].speaker SPEAKER_36
transcript.pyannote[5259].start 31173.20159375
transcript.pyannote[5259].end 31175.58096875
transcript.pyannote[5260].speaker SPEAKER_36
transcript.pyannote[5260].start 31175.85096875
transcript.pyannote[5260].end 31181.72346875
transcript.pyannote[5261].speaker SPEAKER_36
transcript.pyannote[5261].start 31182.39846875
transcript.pyannote[5261].end 31187.41034375
transcript.pyannote[5262].speaker SPEAKER_36
transcript.pyannote[5262].start 31187.49471875
transcript.pyannote[5262].end 31190.53221875
transcript.pyannote[5263].speaker SPEAKER_36
transcript.pyannote[5263].start 31191.40971875
transcript.pyannote[5263].end 31194.02534375
transcript.pyannote[5264].speaker SPEAKER_36
transcript.pyannote[5264].start 31195.02096875
transcript.pyannote[5264].end 31198.32846875
transcript.pyannote[5265].speaker SPEAKER_36
transcript.pyannote[5265].start 31199.20596875
transcript.pyannote[5265].end 31201.46721875
transcript.pyannote[5266].speaker SPEAKER_36
transcript.pyannote[5266].start 31201.78784375
transcript.pyannote[5266].end 31204.42034375
transcript.pyannote[5267].speaker SPEAKER_36
transcript.pyannote[5267].start 31204.96034375
transcript.pyannote[5267].end 31206.07409375
transcript.pyannote[5268].speaker SPEAKER_36
transcript.pyannote[5268].start 31206.63096875
transcript.pyannote[5268].end 31207.20471875
transcript.pyannote[5269].speaker SPEAKER_36
transcript.pyannote[5269].start 31207.42409375
transcript.pyannote[5269].end 31214.12346875
transcript.pyannote[5270].speaker SPEAKER_36
transcript.pyannote[5270].start 31214.46096875
transcript.pyannote[5270].end 31218.88221875
transcript.pyannote[5271].speaker SPEAKER_09
transcript.pyannote[5271].start 31219.03409375
transcript.pyannote[5271].end 31219.52346875
transcript.pyannote[5272].speaker SPEAKER_09
transcript.pyannote[5272].start 31219.84409375
transcript.pyannote[5272].end 31219.86096875
transcript.pyannote[5273].speaker SPEAKER_36
transcript.pyannote[5273].start 31219.86096875
transcript.pyannote[5273].end 31220.31659375
transcript.pyannote[5274].speaker SPEAKER_09
transcript.pyannote[5274].start 31219.87784375
transcript.pyannote[5274].end 31220.26596875
transcript.pyannote[5275].speaker SPEAKER_09
transcript.pyannote[5275].start 31220.65409375
transcript.pyannote[5275].end 31226.83034375
transcript.pyannote[5276].speaker SPEAKER_36
transcript.pyannote[5276].start 31227.08346875
transcript.pyannote[5276].end 31231.74096875
transcript.pyannote[5277].speaker SPEAKER_09
transcript.pyannote[5277].start 31231.90971875
transcript.pyannote[5277].end 31234.86284375
transcript.pyannote[5278].speaker SPEAKER_09
transcript.pyannote[5278].start 31235.40284375
transcript.pyannote[5278].end 31248.91971875
transcript.pyannote[5279].speaker SPEAKER_09
transcript.pyannote[5279].start 31248.95346875
transcript.pyannote[5279].end 31255.80471875
transcript.pyannote[5280].speaker SPEAKER_09
transcript.pyannote[5280].start 31257.40784375
transcript.pyannote[5280].end 31258.09971875
transcript.pyannote[5281].speaker SPEAKER_36
transcript.pyannote[5281].start 31257.55971875
transcript.pyannote[5281].end 31259.56784375
transcript.pyannote[5282].speaker SPEAKER_36
transcript.pyannote[5282].start 31260.91784375
transcript.pyannote[5282].end 31262.95971875
transcript.pyannote[5283].speaker SPEAKER_09
transcript.pyannote[5283].start 31260.98534375
transcript.pyannote[5283].end 31261.45784375
transcript.pyannote[5284].speaker SPEAKER_21
transcript.pyannote[5284].start 31261.45784375
transcript.pyannote[5284].end 31261.50846875
transcript.pyannote[5285].speaker SPEAKER_36
transcript.pyannote[5285].start 31263.38159375
transcript.pyannote[5285].end 31268.10659375
transcript.pyannote[5286].speaker SPEAKER_47
transcript.pyannote[5286].start 31265.74409375
transcript.pyannote[5286].end 31265.76096875
transcript.pyannote[5287].speaker SPEAKER_21
transcript.pyannote[5287].start 31265.76096875
transcript.pyannote[5287].end 31313.88846875
transcript.pyannote[5288].speaker SPEAKER_30
transcript.pyannote[5288].start 31314.78284375
transcript.pyannote[5288].end 31331.89409375
transcript.pyannote[5289].speaker SPEAKER_21
transcript.pyannote[5289].start 31315.87971875
transcript.pyannote[5289].end 31316.33534375
transcript.pyannote[5290].speaker SPEAKER_47
transcript.pyannote[5290].start 31329.91971875
transcript.pyannote[5290].end 31330.98284375
transcript.pyannote[5291].speaker SPEAKER_47
transcript.pyannote[5291].start 31331.89409375
transcript.pyannote[5291].end 31349.27534375
transcript.pyannote[5292].speaker SPEAKER_47
transcript.pyannote[5292].start 31350.57471875
transcript.pyannote[5292].end 31354.20284375
transcript.pyannote[5293].speaker SPEAKER_42
transcript.pyannote[5293].start 31350.62534375
transcript.pyannote[5293].end 31353.64596875
transcript.pyannote[5294].speaker SPEAKER_42
transcript.pyannote[5294].start 31354.20284375
transcript.pyannote[5294].end 31354.32096875
transcript.pyannote[5295].speaker SPEAKER_47
transcript.pyannote[5295].start 31356.02534375
transcript.pyannote[5295].end 31359.88971875
transcript.pyannote[5296].speaker SPEAKER_47
transcript.pyannote[5296].start 31360.14284375
transcript.pyannote[5296].end 31361.25659375
transcript.pyannote[5297].speaker SPEAKER_47
transcript.pyannote[5297].start 31362.57284375
transcript.pyannote[5297].end 31363.04534375
transcript.pyannote[5298].speaker SPEAKER_47
transcript.pyannote[5298].start 31363.28159375
transcript.pyannote[5298].end 31365.82971875
transcript.pyannote[5299].speaker SPEAKER_47
transcript.pyannote[5299].start 31366.35284375
transcript.pyannote[5299].end 31368.68159375
transcript.pyannote[5300].speaker SPEAKER_47
transcript.pyannote[5300].start 31369.28909375
transcript.pyannote[5300].end 31386.24846875
transcript.pyannote[5301].speaker SPEAKER_21
transcript.pyannote[5301].start 31384.51034375
transcript.pyannote[5301].end 31388.25659375
transcript.pyannote[5302].speaker SPEAKER_47
transcript.pyannote[5302].start 31387.76721875
transcript.pyannote[5302].end 31392.69471875
transcript.pyannote[5303].speaker SPEAKER_21
transcript.pyannote[5303].start 31392.01971875
transcript.pyannote[5303].end 31395.14159375
transcript.pyannote[5304].speaker SPEAKER_47
transcript.pyannote[5304].start 31394.24721875
transcript.pyannote[5304].end 31396.12034375
transcript.pyannote[5305].speaker SPEAKER_21
transcript.pyannote[5305].start 31396.71096875
transcript.pyannote[5305].end 31401.08159375
transcript.pyannote[5306].speaker SPEAKER_47
transcript.pyannote[5306].start 31396.77846875
transcript.pyannote[5306].end 31397.97659375
transcript.pyannote[5307].speaker SPEAKER_47
transcript.pyannote[5307].start 31400.57534375
transcript.pyannote[5307].end 31404.32159375
transcript.pyannote[5308].speaker SPEAKER_47
transcript.pyannote[5308].start 31404.70971875
transcript.pyannote[5308].end 31405.16534375
transcript.pyannote[5309].speaker SPEAKER_45
transcript.pyannote[5309].start 31406.11034375
transcript.pyannote[5309].end 31409.83971875
transcript.pyannote[5310].speaker SPEAKER_45
transcript.pyannote[5310].start 31410.81846875
transcript.pyannote[5310].end 31419.79596875
transcript.pyannote[5311].speaker SPEAKER_47
transcript.pyannote[5311].start 31419.79596875
transcript.pyannote[5311].end 31419.81284375
transcript.pyannote[5312].speaker SPEAKER_45
transcript.pyannote[5312].start 31419.81284375
transcript.pyannote[5312].end 31419.86346875
transcript.pyannote[5313].speaker SPEAKER_47
transcript.pyannote[5313].start 31419.86346875
transcript.pyannote[5313].end 31420.04909375
transcript.pyannote[5314].speaker SPEAKER_45
transcript.pyannote[5314].start 31420.04909375
transcript.pyannote[5314].end 31421.38221875
transcript.pyannote[5315].speaker SPEAKER_47
transcript.pyannote[5315].start 31420.06596875
transcript.pyannote[5315].end 31420.72409375
transcript.pyannote[5316].speaker SPEAKER_47
transcript.pyannote[5316].start 31421.31471875
transcript.pyannote[5316].end 31421.41596875
transcript.pyannote[5317].speaker SPEAKER_45
transcript.pyannote[5317].start 31421.41596875
transcript.pyannote[5317].end 31421.44971875
transcript.pyannote[5318].speaker SPEAKER_47
transcript.pyannote[5318].start 31421.44971875
transcript.pyannote[5318].end 31421.58471875
transcript.pyannote[5319].speaker SPEAKER_45
transcript.pyannote[5319].start 31421.58471875
transcript.pyannote[5319].end 31421.97284375
transcript.pyannote[5320].speaker SPEAKER_47
transcript.pyannote[5320].start 31421.97284375
transcript.pyannote[5320].end 31422.20909375
transcript.pyannote[5321].speaker SPEAKER_45
transcript.pyannote[5321].start 31422.20909375
transcript.pyannote[5321].end 31422.24284375
transcript.pyannote[5322].speaker SPEAKER_47
transcript.pyannote[5322].start 31422.24284375
transcript.pyannote[5322].end 31422.34409375
transcript.pyannote[5323].speaker SPEAKER_45
transcript.pyannote[5323].start 31422.34409375
transcript.pyannote[5323].end 31422.61409375
transcript.pyannote[5324].speaker SPEAKER_47
transcript.pyannote[5324].start 31422.61409375
transcript.pyannote[5324].end 31422.71534375
transcript.pyannote[5325].speaker SPEAKER_45
transcript.pyannote[5325].start 31422.71534375
transcript.pyannote[5325].end 31422.83346875
transcript.pyannote[5326].speaker SPEAKER_47
transcript.pyannote[5326].start 31422.83346875
transcript.pyannote[5326].end 31424.14971875
transcript.pyannote[5327].speaker SPEAKER_09
transcript.pyannote[5327].start 31424.31846875
transcript.pyannote[5327].end 31430.15721875
transcript.pyannote[5328].speaker SPEAKER_47
transcript.pyannote[5328].start 31425.80346875
transcript.pyannote[5328].end 31426.88346875
transcript.pyannote[5329].speaker SPEAKER_47
transcript.pyannote[5329].start 31427.55846875
transcript.pyannote[5329].end 31429.12784375
transcript.pyannote[5330].speaker SPEAKER_47
transcript.pyannote[5330].start 31430.10659375
transcript.pyannote[5330].end 31433.66721875
transcript.pyannote[5331].speaker SPEAKER_47
transcript.pyannote[5331].start 31434.03846875
transcript.pyannote[5331].end 31434.39284375
transcript.pyannote[5332].speaker SPEAKER_09
transcript.pyannote[5332].start 31435.00034375
transcript.pyannote[5332].end 31435.16909375
transcript.pyannote[5333].speaker SPEAKER_45
transcript.pyannote[5333].start 31437.63284375
transcript.pyannote[5333].end 31451.01471875
transcript.pyannote[5334].speaker SPEAKER_47
transcript.pyannote[5334].start 31437.86909375
transcript.pyannote[5334].end 31440.24846875
transcript.pyannote[5335].speaker SPEAKER_00
transcript.pyannote[5335].start 31440.24846875
transcript.pyannote[5335].end 31440.33284375
transcript.pyannote[5336].speaker SPEAKER_42
transcript.pyannote[5336].start 31442.25659375
transcript.pyannote[5336].end 31442.27346875
transcript.pyannote[5337].speaker SPEAKER_47
transcript.pyannote[5337].start 31442.27346875
transcript.pyannote[5337].end 31443.42096875
transcript.pyannote[5338].speaker SPEAKER_42
transcript.pyannote[5338].start 31443.42096875
transcript.pyannote[5338].end 31443.43784375
transcript.pyannote[5339].speaker SPEAKER_47
transcript.pyannote[5339].start 31455.50346875
transcript.pyannote[5339].end 31457.93346875
transcript.pyannote[5340].speaker SPEAKER_47
transcript.pyannote[5340].start 31458.43971875
transcript.pyannote[5340].end 31459.95846875
transcript.pyannote[5341].speaker SPEAKER_47
transcript.pyannote[5341].start 31460.27909375
transcript.pyannote[5341].end 31462.40534375
transcript.pyannote[5342].speaker SPEAKER_09
transcript.pyannote[5342].start 31462.74284375
transcript.pyannote[5342].end 31465.64534375
transcript.pyannote[5343].speaker SPEAKER_47
transcript.pyannote[5343].start 31465.12221875
transcript.pyannote[5343].end 31467.43409375
transcript.pyannote[5344].speaker SPEAKER_47
transcript.pyannote[5344].start 31467.56909375
transcript.pyannote[5344].end 31467.60284375
transcript.pyannote[5345].speaker SPEAKER_45
transcript.pyannote[5345].start 31467.60284375
transcript.pyannote[5345].end 31467.78846875
transcript.pyannote[5346].speaker SPEAKER_47
transcript.pyannote[5346].start 31467.78846875
transcript.pyannote[5346].end 31467.95721875
transcript.pyannote[5347].speaker SPEAKER_45
transcript.pyannote[5347].start 31467.95721875
transcript.pyannote[5347].end 31472.98596875
transcript.pyannote[5348].speaker SPEAKER_47
transcript.pyannote[5348].start 31470.20159375
transcript.pyannote[5348].end 31470.21846875
transcript.pyannote[5349].speaker SPEAKER_47
transcript.pyannote[5349].start 31470.25221875
transcript.pyannote[5349].end 31470.57284375
transcript.pyannote[5350].speaker SPEAKER_47
transcript.pyannote[5350].start 31470.99471875
transcript.pyannote[5350].end 31471.55159375
transcript.pyannote[5351].speaker SPEAKER_47
transcript.pyannote[5351].start 31472.32784375
transcript.pyannote[5351].end 31478.13284375
transcript.pyannote[5352].speaker SPEAKER_47
transcript.pyannote[5352].start 31480.41096875
transcript.pyannote[5352].end 31482.41909375
transcript.pyannote[5353].speaker SPEAKER_33
transcript.pyannote[5353].start 31481.03534375
transcript.pyannote[5353].end 31481.44034375
transcript.pyannote[5354].speaker SPEAKER_33
transcript.pyannote[5354].start 31482.11534375
transcript.pyannote[5354].end 31482.35159375
transcript.pyannote[5355].speaker SPEAKER_33
transcript.pyannote[5355].start 31482.41909375
transcript.pyannote[5355].end 31482.45284375
transcript.pyannote[5356].speaker SPEAKER_33
transcript.pyannote[5356].start 31482.97596875
transcript.pyannote[5356].end 31486.21596875
transcript.pyannote[5357].speaker SPEAKER_47
transcript.pyannote[5357].start 31486.50284375
transcript.pyannote[5357].end 31487.80221875
transcript.pyannote[5358].speaker SPEAKER_33
transcript.pyannote[5358].start 31487.80221875
transcript.pyannote[5358].end 31487.81909375
transcript.pyannote[5359].speaker SPEAKER_33
transcript.pyannote[5359].start 31487.86971875
transcript.pyannote[5359].end 31491.16034375
transcript.pyannote[5360].speaker SPEAKER_42
transcript.pyannote[5360].start 31491.16034375
transcript.pyannote[5360].end 31491.21096875
transcript.pyannote[5361].speaker SPEAKER_33
transcript.pyannote[5361].start 31491.21096875
transcript.pyannote[5361].end 31491.24471875
transcript.pyannote[5362].speaker SPEAKER_42
transcript.pyannote[5362].start 31491.24471875
transcript.pyannote[5362].end 31491.41346875
transcript.pyannote[5363].speaker SPEAKER_33
transcript.pyannote[5363].start 31491.41346875
transcript.pyannote[5363].end 31491.70034375
transcript.pyannote[5364].speaker SPEAKER_47
transcript.pyannote[5364].start 31492.07159375
transcript.pyannote[5364].end 31495.02471875
transcript.pyannote[5365].speaker SPEAKER_42
transcript.pyannote[5365].start 31494.82221875
transcript.pyannote[5365].end 31495.96971875
transcript.pyannote[5366].speaker SPEAKER_47
transcript.pyannote[5366].start 31495.96971875
transcript.pyannote[5366].end 31498.04534375
transcript.pyannote[5367].speaker SPEAKER_42
transcript.pyannote[5367].start 31495.98659375
transcript.pyannote[5367].end 31496.00346875
transcript.pyannote[5368].speaker SPEAKER_42
transcript.pyannote[5368].start 31496.03721875
transcript.pyannote[5368].end 31496.12159375
transcript.pyannote[5369].speaker SPEAKER_42
transcript.pyannote[5369].start 31496.15534375
transcript.pyannote[5369].end 31496.18909375
transcript.pyannote[5370].speaker SPEAKER_42
transcript.pyannote[5370].start 31496.29034375
transcript.pyannote[5370].end 31496.30721875
transcript.pyannote[5371].speaker SPEAKER_42
transcript.pyannote[5371].start 31499.26034375
transcript.pyannote[5371].end 31499.34471875
transcript.pyannote[5372].speaker SPEAKER_47
transcript.pyannote[5372].start 31499.34471875
transcript.pyannote[5372].end 31502.48346875
transcript.pyannote[5373].speaker SPEAKER_47
transcript.pyannote[5373].start 31503.59721875
transcript.pyannote[5373].end 31507.05659375
transcript.pyannote[5374].speaker SPEAKER_47
transcript.pyannote[5374].start 31508.00159375
transcript.pyannote[5374].end 31523.62784375
transcript.pyannote[5375].speaker SPEAKER_47
transcript.pyannote[5375].start 31524.26909375
transcript.pyannote[5375].end 31524.91034375
transcript.pyannote[5376].speaker SPEAKER_47
transcript.pyannote[5376].start 31526.49659375
transcript.pyannote[5376].end 31526.53034375
transcript.pyannote[5377].speaker SPEAKER_21
transcript.pyannote[5377].start 31526.53034375
transcript.pyannote[5377].end 31527.23909375
transcript.pyannote[5378].speaker SPEAKER_47
transcript.pyannote[5378].start 31527.23909375
transcript.pyannote[5378].end 31530.61409375
transcript.pyannote[5379].speaker SPEAKER_21
transcript.pyannote[5379].start 31527.25596875
transcript.pyannote[5379].end 31528.23471875
transcript.pyannote[5380].speaker SPEAKER_21
transcript.pyannote[5380].start 31528.26846875
transcript.pyannote[5380].end 31529.65221875
transcript.pyannote[5381].speaker SPEAKER_21
transcript.pyannote[5381].start 31530.66471875
transcript.pyannote[5381].end 31556.93909375
transcript.pyannote[5382].speaker SPEAKER_21
transcript.pyannote[5382].start 31557.31034375
transcript.pyannote[5382].end 31562.82846875
transcript.pyannote[5383].speaker SPEAKER_21
transcript.pyannote[5383].start 31563.11534375
transcript.pyannote[5383].end 31571.16471875
transcript.pyannote[5384].speaker SPEAKER_21
transcript.pyannote[5384].start 31571.60346875
transcript.pyannote[5384].end 31572.73409375
transcript.pyannote[5385].speaker SPEAKER_21
transcript.pyannote[5385].start 31573.18971875
transcript.pyannote[5385].end 31575.95721875
transcript.pyannote[5386].speaker SPEAKER_47
transcript.pyannote[5386].start 31578.84284375
transcript.pyannote[5386].end 31580.47971875
transcript.pyannote[5387].speaker SPEAKER_30
transcript.pyannote[5387].start 31580.53034375
transcript.pyannote[5387].end 31622.93721875
transcript.pyannote[5388].speaker SPEAKER_47
transcript.pyannote[5388].start 31625.01284375
transcript.pyannote[5388].end 31627.00409375
transcript.pyannote[5389].speaker SPEAKER_03
transcript.pyannote[5389].start 31627.42596875
transcript.pyannote[5389].end 31633.28159375
transcript.pyannote[5390].speaker SPEAKER_03
transcript.pyannote[5390].start 31633.80471875
transcript.pyannote[5390].end 31734.73409375
transcript.pyannote[5391].speaker SPEAKER_03
transcript.pyannote[5391].start 31735.18971875
transcript.pyannote[5391].end 31761.85221875
transcript.pyannote[5392].speaker SPEAKER_03
transcript.pyannote[5392].start 31762.30784375
transcript.pyannote[5392].end 31779.35159375
transcript.pyannote[5393].speaker SPEAKER_03
transcript.pyannote[5393].start 31780.22909375
transcript.pyannote[5393].end 31838.80221875
transcript.pyannote[5394].speaker SPEAKER_03
transcript.pyannote[5394].start 31839.39284375
transcript.pyannote[5394].end 31864.26659375
transcript.pyannote[5395].speaker SPEAKER_03
transcript.pyannote[5395].start 31864.43534375
transcript.pyannote[5395].end 31875.38721875
transcript.pyannote[5396].speaker SPEAKER_47
transcript.pyannote[5396].start 31876.29846875
transcript.pyannote[5396].end 31878.20534375
transcript.pyannote[5397].speaker SPEAKER_02
transcript.pyannote[5397].start 31880.19659375
transcript.pyannote[5397].end 31880.21346875
transcript.pyannote[5398].speaker SPEAKER_47
transcript.pyannote[5398].start 31880.21346875
transcript.pyannote[5398].end 31880.68596875
transcript.pyannote[5399].speaker SPEAKER_03
transcript.pyannote[5399].start 31880.23034375
transcript.pyannote[5399].end 31880.85471875
transcript.pyannote[5400].speaker SPEAKER_47
transcript.pyannote[5400].start 31880.85471875
transcript.pyannote[5400].end 31880.90534375
transcript.pyannote[5401].speaker SPEAKER_47
transcript.pyannote[5401].start 31881.22596875
transcript.pyannote[5401].end 31885.69784375
transcript.pyannote[5402].speaker SPEAKER_42
transcript.pyannote[5402].start 31884.71909375
transcript.pyannote[5402].end 31885.36034375
transcript.pyannote[5403].speaker SPEAKER_47
transcript.pyannote[5403].start 31885.96784375
transcript.pyannote[5403].end 31886.03534375
transcript.pyannote[5404].speaker SPEAKER_47
transcript.pyannote[5404].start 31886.67659375
transcript.pyannote[5404].end 31887.89159375
transcript.pyannote[5405].speaker SPEAKER_03
transcript.pyannote[5405].start 31888.07721875
transcript.pyannote[5405].end 31891.40159375
transcript.pyannote[5406].speaker SPEAKER_03
transcript.pyannote[5406].start 31891.73909375
transcript.pyannote[5406].end 31895.23221875
transcript.pyannote[5407].speaker SPEAKER_47
transcript.pyannote[5407].start 31892.48159375
transcript.pyannote[5407].end 31893.44346875
transcript.pyannote[5408].speaker SPEAKER_47
transcript.pyannote[5408].start 31896.21096875
transcript.pyannote[5408].end 31902.35346875
transcript.pyannote[5409].speaker SPEAKER_02
transcript.pyannote[5409].start 31902.57284375
transcript.pyannote[5409].end 31943.30909375
transcript.pyannote[5410].speaker SPEAKER_02
transcript.pyannote[5410].start 31943.49471875
transcript.pyannote[5410].end 31957.78784375
transcript.pyannote[5411].speaker SPEAKER_02
transcript.pyannote[5411].start 31958.05784375
transcript.pyannote[5411].end 32022.92534375
transcript.pyannote[5412].speaker SPEAKER_02
transcript.pyannote[5412].start 32023.36409375
transcript.pyannote[5412].end 32027.02596875
transcript.pyannote[5413].speaker SPEAKER_02
transcript.pyannote[5413].start 32027.24534375
transcript.pyannote[5413].end 32028.40971875
transcript.pyannote[5414].speaker SPEAKER_02
transcript.pyannote[5414].start 32028.66284375
transcript.pyannote[5414].end 32032.79721875
transcript.pyannote[5415].speaker SPEAKER_02
transcript.pyannote[5415].start 32033.21909375
transcript.pyannote[5415].end 32046.31409375
transcript.pyannote[5416].speaker SPEAKER_02
transcript.pyannote[5416].start 32046.49971875
transcript.pyannote[5416].end 32050.39784375
transcript.pyannote[5417].speaker SPEAKER_02
transcript.pyannote[5417].start 32050.88721875
transcript.pyannote[5417].end 32055.24096875
transcript.pyannote[5418].speaker SPEAKER_02
transcript.pyannote[5418].start 32055.29159375
transcript.pyannote[5418].end 32070.73221875
transcript.pyannote[5419].speaker SPEAKER_08
transcript.pyannote[5419].start 32066.78346875
transcript.pyannote[5419].end 32066.80034375
transcript.pyannote[5420].speaker SPEAKER_42
transcript.pyannote[5420].start 32066.80034375
transcript.pyannote[5420].end 32067.17159375
transcript.pyannote[5421].speaker SPEAKER_42
transcript.pyannote[5421].start 32069.66909375
transcript.pyannote[5421].end 32070.04034375
transcript.pyannote[5422].speaker SPEAKER_42
transcript.pyannote[5422].start 32070.10784375
transcript.pyannote[5422].end 32070.63096875
transcript.pyannote[5423].speaker SPEAKER_02
transcript.pyannote[5423].start 32071.30596875
transcript.pyannote[5423].end 32071.32284375
transcript.pyannote[5424].speaker SPEAKER_42
transcript.pyannote[5424].start 32071.32284375
transcript.pyannote[5424].end 32071.42409375
transcript.pyannote[5425].speaker SPEAKER_02
transcript.pyannote[5425].start 32071.42409375
transcript.pyannote[5425].end 32071.47471875
transcript.pyannote[5426].speaker SPEAKER_42
transcript.pyannote[5426].start 32071.47471875
transcript.pyannote[5426].end 32071.50846875
transcript.pyannote[5427].speaker SPEAKER_02
transcript.pyannote[5427].start 32071.50846875
transcript.pyannote[5427].end 32071.57596875
transcript.pyannote[5428].speaker SPEAKER_47
transcript.pyannote[5428].start 32071.57596875
transcript.pyannote[5428].end 32084.02971875
transcript.pyannote[5429].speaker SPEAKER_47
transcript.pyannote[5429].start 32085.27846875
transcript.pyannote[5429].end 32091.64034375
transcript.pyannote[5430].speaker SPEAKER_47
transcript.pyannote[5430].start 32092.04534375
transcript.pyannote[5430].end 32093.78346875
transcript.pyannote[5431].speaker SPEAKER_47
transcript.pyannote[5431].start 32093.86784375
transcript.pyannote[5431].end 32100.48284375
transcript.pyannote[5432].speaker SPEAKER_47
transcript.pyannote[5432].start 32100.61784375
transcript.pyannote[5432].end 32104.98846875
transcript.pyannote[5433].speaker SPEAKER_30
transcript.pyannote[5433].start 32103.26721875
transcript.pyannote[5433].end 32113.25721875
transcript.pyannote[5434].speaker SPEAKER_42
transcript.pyannote[5434].start 32113.25721875
transcript.pyannote[5434].end 32114.57346875
transcript.pyannote[5435].speaker SPEAKER_30
transcript.pyannote[5435].start 32113.57784375
transcript.pyannote[5435].end 32120.46284375
transcript.pyannote[5436].speaker SPEAKER_47
transcript.pyannote[5436].start 32114.57346875
transcript.pyannote[5436].end 32114.64096875
transcript.pyannote[5437].speaker SPEAKER_30
transcript.pyannote[5437].start 32121.99846875
transcript.pyannote[5437].end 32126.25096875
transcript.pyannote[5438].speaker SPEAKER_03
transcript.pyannote[5438].start 32125.66034375
transcript.pyannote[5438].end 32126.28471875
transcript.pyannote[5439].speaker SPEAKER_30
transcript.pyannote[5439].start 32126.28471875
transcript.pyannote[5439].end 32150.04471875
transcript.pyannote[5440].speaker SPEAKER_30
transcript.pyannote[5440].start 32150.61846875
transcript.pyannote[5440].end 32164.05096875
transcript.pyannote[5441].speaker SPEAKER_47
transcript.pyannote[5441].start 32164.05096875
transcript.pyannote[5441].end 32165.73846875
transcript.pyannote[5442].speaker SPEAKER_30
transcript.pyannote[5442].start 32165.78909375
transcript.pyannote[5442].end 32165.82284375
transcript.pyannote[5443].speaker SPEAKER_03
transcript.pyannote[5443].start 32165.82284375
transcript.pyannote[5443].end 32167.52721875
transcript.pyannote[5444].speaker SPEAKER_03
transcript.pyannote[5444].start 32168.53971875
transcript.pyannote[5444].end 32176.97721875
transcript.pyannote[5445].speaker SPEAKER_03
transcript.pyannote[5445].start 32177.85471875
transcript.pyannote[5445].end 32179.86284375
transcript.pyannote[5446].speaker SPEAKER_03
transcript.pyannote[5446].start 32180.26784375
transcript.pyannote[5446].end 32213.79846875
transcript.pyannote[5447].speaker SPEAKER_03
transcript.pyannote[5447].start 32214.15284375
transcript.pyannote[5447].end 32279.37471875
transcript.pyannote[5448].speaker SPEAKER_02
transcript.pyannote[5448].start 32279.02034375
transcript.pyannote[5448].end 32279.13846875
transcript.pyannote[5449].speaker SPEAKER_02
transcript.pyannote[5449].start 32279.37471875
transcript.pyannote[5449].end 32298.59534375
transcript.pyannote[5450].speaker SPEAKER_03
transcript.pyannote[5450].start 32280.08346875
transcript.pyannote[5450].end 32280.85971875
transcript.pyannote[5451].speaker SPEAKER_03
transcript.pyannote[5451].start 32293.09409375
transcript.pyannote[5451].end 32294.35971875
transcript.pyannote[5452].speaker SPEAKER_09
transcript.pyannote[5452].start 32294.35971875
transcript.pyannote[5452].end 32294.61284375
transcript.pyannote[5453].speaker SPEAKER_03
transcript.pyannote[5453].start 32294.61284375
transcript.pyannote[5453].end 32294.81534375
transcript.pyannote[5454].speaker SPEAKER_09
transcript.pyannote[5454].start 32294.81534375
transcript.pyannote[5454].end 32297.71784375
transcript.pyannote[5455].speaker SPEAKER_09
transcript.pyannote[5455].start 32297.97096875
transcript.pyannote[5455].end 32299.59096875
transcript.pyannote[5456].speaker SPEAKER_02
transcript.pyannote[5456].start 32298.94971875
transcript.pyannote[5456].end 32305.17659375
transcript.pyannote[5457].speaker SPEAKER_09
transcript.pyannote[5457].start 32304.01221875
transcript.pyannote[5457].end 32309.66534375
transcript.pyannote[5458].speaker SPEAKER_02
transcript.pyannote[5458].start 32305.91909375
transcript.pyannote[5458].end 32306.57721875
transcript.pyannote[5459].speaker SPEAKER_02
transcript.pyannote[5459].start 32308.56846875
transcript.pyannote[5459].end 32308.77096875
transcript.pyannote[5460].speaker SPEAKER_21
transcript.pyannote[5460].start 32308.77096875
transcript.pyannote[5460].end 32319.94221875
transcript.pyannote[5461].speaker SPEAKER_21
transcript.pyannote[5461].start 32320.87034375
transcript.pyannote[5461].end 32325.40971875
transcript.pyannote[5462].speaker SPEAKER_21
transcript.pyannote[5462].start 32326.03409375
transcript.pyannote[5462].end 32337.67784375
transcript.pyannote[5463].speaker SPEAKER_21
transcript.pyannote[5463].start 32337.81284375
transcript.pyannote[5463].end 32351.12721875
transcript.pyannote[5464].speaker SPEAKER_47
transcript.pyannote[5464].start 32341.99784375
transcript.pyannote[5464].end 32342.55471875
transcript.pyannote[5465].speaker SPEAKER_47
transcript.pyannote[5465].start 32343.22971875
transcript.pyannote[5465].end 32345.15346875
transcript.pyannote[5466].speaker SPEAKER_47
transcript.pyannote[5466].start 32351.56596875
transcript.pyannote[5466].end 32356.24034375
transcript.pyannote[5467].speaker SPEAKER_47
transcript.pyannote[5467].start 32356.64534375
transcript.pyannote[5467].end 32362.33221875
transcript.pyannote[5468].speaker SPEAKER_09
transcript.pyannote[5468].start 32362.92284375
transcript.pyannote[5468].end 32364.84659375
transcript.pyannote[5469].speaker SPEAKER_47
transcript.pyannote[5469].start 32363.34471875
transcript.pyannote[5469].end 32363.49659375
transcript.pyannote[5470].speaker SPEAKER_47
transcript.pyannote[5470].start 32364.54284375
transcript.pyannote[5470].end 32367.71534375
transcript.pyannote[5471].speaker SPEAKER_09
transcript.pyannote[5471].start 32367.39471875
transcript.pyannote[5471].end 32367.86721875
transcript.pyannote[5472].speaker SPEAKER_47
transcript.pyannote[5472].start 32368.13721875
transcript.pyannote[5472].end 32374.49909375
transcript.pyannote[5473].speaker SPEAKER_47
transcript.pyannote[5473].start 32374.71846875
transcript.pyannote[5473].end 32378.26221875
transcript.pyannote[5474].speaker SPEAKER_47
transcript.pyannote[5474].start 32380.28721875
transcript.pyannote[5474].end 32380.92846875
transcript.pyannote[5475].speaker SPEAKER_47
transcript.pyannote[5475].start 32380.94534375
transcript.pyannote[5475].end 32381.04659375
transcript.pyannote[5476].speaker SPEAKER_47
transcript.pyannote[5476].start 32381.35034375
transcript.pyannote[5476].end 32403.37221875
transcript.pyannote[5477].speaker SPEAKER_47
transcript.pyannote[5477].start 32404.58721875
transcript.pyannote[5477].end 32406.57846875
transcript.pyannote[5478].speaker SPEAKER_47
transcript.pyannote[5478].start 32410.54409375
transcript.pyannote[5478].end 32411.40471875
transcript.pyannote[5479].speaker SPEAKER_35
transcript.pyannote[5479].start 32412.50159375
transcript.pyannote[5479].end 32413.90221875
transcript.pyannote[5480].speaker SPEAKER_47
transcript.pyannote[5480].start 32413.90221875
transcript.pyannote[5480].end 32415.72471875
transcript.pyannote[5481].speaker SPEAKER_35
transcript.pyannote[5481].start 32416.60221875
transcript.pyannote[5481].end 32420.09534375
transcript.pyannote[5482].speaker SPEAKER_47
transcript.pyannote[5482].start 32420.14596875
transcript.pyannote[5482].end 32421.46221875
transcript.pyannote[5483].speaker SPEAKER_35
transcript.pyannote[5483].start 32423.67284375
transcript.pyannote[5483].end 32426.50784375
transcript.pyannote[5484].speaker SPEAKER_47
transcript.pyannote[5484].start 32427.13221875
transcript.pyannote[5484].end 32427.87471875
transcript.pyannote[5485].speaker SPEAKER_35
transcript.pyannote[5485].start 32427.87471875
transcript.pyannote[5485].end 32431.77284375
transcript.pyannote[5486].speaker SPEAKER_47
transcript.pyannote[5486].start 32429.49471875
transcript.pyannote[5486].end 32430.96284375
transcript.pyannote[5487].speaker SPEAKER_47
transcript.pyannote[5487].start 32431.33409375
transcript.pyannote[5487].end 32431.36784375
transcript.pyannote[5488].speaker SPEAKER_47
transcript.pyannote[5488].start 32431.77284375
transcript.pyannote[5488].end 32433.22409375
transcript.pyannote[5489].speaker SPEAKER_35
transcript.pyannote[5489].start 32434.70909375
transcript.pyannote[5489].end 32440.58159375
transcript.pyannote[5490].speaker SPEAKER_36
transcript.pyannote[5490].start 32440.58159375
transcript.pyannote[5490].end 32440.59846875
transcript.pyannote[5491].speaker SPEAKER_35
transcript.pyannote[5491].start 32440.59846875
transcript.pyannote[5491].end 32440.61534375
transcript.pyannote[5492].speaker SPEAKER_47
transcript.pyannote[5492].start 32440.69971875
transcript.pyannote[5492].end 32443.04534375
transcript.pyannote[5493].speaker SPEAKER_36
transcript.pyannote[5493].start 32443.60221875
transcript.pyannote[5493].end 32450.36909375
transcript.pyannote[5494].speaker SPEAKER_36
transcript.pyannote[5494].start 32450.40284375
transcript.pyannote[5494].end 32450.43659375
transcript.pyannote[5495].speaker SPEAKER_47
transcript.pyannote[5495].start 32450.43659375
transcript.pyannote[5495].end 32455.61721875
transcript.pyannote[5496].speaker SPEAKER_36
transcript.pyannote[5496].start 32450.45346875
transcript.pyannote[5496].end 32450.67284375
transcript.pyannote[5497].speaker SPEAKER_36
transcript.pyannote[5497].start 32450.82471875
transcript.pyannote[5497].end 32450.85846875
transcript.pyannote[5498].speaker SPEAKER_36
transcript.pyannote[5498].start 32450.87534375
transcript.pyannote[5498].end 32452.90034375
transcript.pyannote[5499].speaker SPEAKER_45
transcript.pyannote[5499].start 32452.90034375
transcript.pyannote[5499].end 32452.96784375
transcript.pyannote[5500].speaker SPEAKER_35
transcript.pyannote[5500].start 32452.96784375
transcript.pyannote[5500].end 32453.54159375
transcript.pyannote[5501].speaker SPEAKER_45
transcript.pyannote[5501].start 32453.54159375
transcript.pyannote[5501].end 32453.67659375
transcript.pyannote[5502].speaker SPEAKER_35
transcript.pyannote[5502].start 32456.42721875
transcript.pyannote[5502].end 32457.25409375
transcript.pyannote[5503].speaker SPEAKER_47
transcript.pyannote[5503].start 32457.47346875
transcript.pyannote[5503].end 32458.40159375
transcript.pyannote[5504].speaker SPEAKER_35
transcript.pyannote[5504].start 32460.13971875
transcript.pyannote[5504].end 32463.97034375
transcript.pyannote[5505].speaker SPEAKER_36
transcript.pyannote[5505].start 32463.97034375
transcript.pyannote[5505].end 32474.36534375
transcript.pyannote[5506].speaker SPEAKER_47
transcript.pyannote[5506].start 32474.80409375
transcript.pyannote[5506].end 32477.45346875
transcript.pyannote[5507].speaker SPEAKER_36
transcript.pyannote[5507].start 32476.57596875
transcript.pyannote[5507].end 32491.22346875
transcript.pyannote[5508].speaker SPEAKER_47
transcript.pyannote[5508].start 32491.47659375
transcript.pyannote[5508].end 32492.03346875
transcript.pyannote[5509].speaker SPEAKER_36
transcript.pyannote[5509].start 32491.67909375
transcript.pyannote[5509].end 32492.01659375
transcript.pyannote[5510].speaker SPEAKER_36
transcript.pyannote[5510].start 32492.03346875
transcript.pyannote[5510].end 32492.10096875
transcript.pyannote[5511].speaker SPEAKER_47
transcript.pyannote[5511].start 32492.16846875
transcript.pyannote[5511].end 32493.18096875
transcript.pyannote[5512].speaker SPEAKER_36
transcript.pyannote[5512].start 32492.32034375
transcript.pyannote[5512].end 32492.99534375
transcript.pyannote[5513].speaker SPEAKER_47
transcript.pyannote[5513].start 32493.65346875
transcript.pyannote[5513].end 32495.17221875
transcript.pyannote[5514].speaker SPEAKER_47
transcript.pyannote[5514].start 32496.01596875
transcript.pyannote[5514].end 32498.59784375
transcript.pyannote[5515].speaker SPEAKER_36
transcript.pyannote[5515].start 32496.03284375
transcript.pyannote[5515].end 32496.52221875
transcript.pyannote[5516].speaker SPEAKER_47
transcript.pyannote[5516].start 32498.81721875
transcript.pyannote[5516].end 32500.65659375
transcript.pyannote[5517].speaker SPEAKER_45
transcript.pyannote[5517].start 32499.07034375
transcript.pyannote[5517].end 32499.27284375
transcript.pyannote[5518].speaker SPEAKER_45
transcript.pyannote[5518].start 32499.28971875
transcript.pyannote[5518].end 32499.35721875
transcript.pyannote[5519].speaker SPEAKER_47
transcript.pyannote[5519].start 32502.49596875
transcript.pyannote[5519].end 32510.02221875
transcript.pyannote[5520].speaker SPEAKER_44
transcript.pyannote[5520].start 32509.11096875
transcript.pyannote[5520].end 32513.17784375
transcript.pyannote[5521].speaker SPEAKER_47
transcript.pyannote[5521].start 32511.76034375
transcript.pyannote[5521].end 32511.79409375
transcript.pyannote[5522].speaker SPEAKER_47
transcript.pyannote[5522].start 32511.82784375
transcript.pyannote[5522].end 32512.53659375
transcript.pyannote[5523].speaker SPEAKER_47
transcript.pyannote[5523].start 32514.12284375
transcript.pyannote[5523].end 32514.15659375
transcript.pyannote[5524].speaker SPEAKER_44
transcript.pyannote[5524].start 32514.15659375
transcript.pyannote[5524].end 32514.49409375
transcript.pyannote[5525].speaker SPEAKER_47
transcript.pyannote[5525].start 32514.49409375
transcript.pyannote[5525].end 32515.11846875
transcript.pyannote[5526].speaker SPEAKER_47
transcript.pyannote[5526].start 32516.19846875
transcript.pyannote[5526].end 32516.56971875
transcript.pyannote[5527].speaker SPEAKER_47
transcript.pyannote[5527].start 32516.90721875
transcript.pyannote[5527].end 32518.07159375
transcript.pyannote[5528].speaker SPEAKER_35
transcript.pyannote[5528].start 32520.97409375
transcript.pyannote[5528].end 32521.02471875
transcript.pyannote[5529].speaker SPEAKER_36
transcript.pyannote[5529].start 32521.02471875
transcript.pyannote[5529].end 32521.32846875
transcript.pyannote[5530].speaker SPEAKER_35
transcript.pyannote[5530].start 32524.95659375
transcript.pyannote[5530].end 32524.99034375
transcript.pyannote[5531].speaker SPEAKER_36
transcript.pyannote[5531].start 32524.99034375
transcript.pyannote[5531].end 32525.39534375
transcript.pyannote[5532].speaker SPEAKER_35
transcript.pyannote[5532].start 32525.39534375
transcript.pyannote[5532].end 32527.79159375
transcript.pyannote[5533].speaker SPEAKER_36
transcript.pyannote[5533].start 32525.46284375
transcript.pyannote[5533].end 32525.74971875
transcript.pyannote[5534].speaker SPEAKER_47
transcript.pyannote[5534].start 32525.74971875
transcript.pyannote[5534].end 32525.76659375
transcript.pyannote[5535].speaker SPEAKER_36
transcript.pyannote[5535].start 32527.79159375
transcript.pyannote[5535].end 32529.96846875
transcript.pyannote[5536].speaker SPEAKER_35
transcript.pyannote[5536].start 32529.96846875
transcript.pyannote[5536].end 32530.23846875
transcript.pyannote[5537].speaker SPEAKER_47
transcript.pyannote[5537].start 32530.23846875
transcript.pyannote[5537].end 32530.91346875
transcript.pyannote[5538].speaker SPEAKER_36
transcript.pyannote[5538].start 32530.25534375
transcript.pyannote[5538].end 32541.98346875
transcript.pyannote[5539].speaker SPEAKER_32
transcript.pyannote[5539].start 32541.67971875
transcript.pyannote[5539].end 32541.93284375
transcript.pyannote[5540].speaker SPEAKER_32
transcript.pyannote[5540].start 32541.98346875
transcript.pyannote[5540].end 32542.00034375
transcript.pyannote[5541].speaker SPEAKER_36
transcript.pyannote[5541].start 32544.48096875
transcript.pyannote[5541].end 32545.03784375
transcript.pyannote[5542].speaker SPEAKER_47
transcript.pyannote[5542].start 32545.03784375
transcript.pyannote[5542].end 32546.48909375
transcript.pyannote[5543].speaker SPEAKER_36
transcript.pyannote[5543].start 32545.72971875
transcript.pyannote[5543].end 32545.83096875
transcript.pyannote[5544].speaker SPEAKER_36
transcript.pyannote[5544].start 32545.86471875
transcript.pyannote[5544].end 32546.33721875
transcript.pyannote[5545].speaker SPEAKER_32
transcript.pyannote[5545].start 32546.33721875
transcript.pyannote[5545].end 32546.42159375
transcript.pyannote[5546].speaker SPEAKER_36
transcript.pyannote[5546].start 32546.42159375
transcript.pyannote[5546].end 32546.47221875
transcript.pyannote[5547].speaker SPEAKER_32
transcript.pyannote[5547].start 32546.47221875
transcript.pyannote[5547].end 32555.98971875
transcript.pyannote[5548].speaker SPEAKER_36
transcript.pyannote[5548].start 32546.48909375
transcript.pyannote[5548].end 32546.50596875
transcript.pyannote[5549].speaker SPEAKER_21
transcript.pyannote[5549].start 32550.74159375
transcript.pyannote[5549].end 32551.04534375
transcript.pyannote[5550].speaker SPEAKER_36
transcript.pyannote[5550].start 32556.63096875
transcript.pyannote[5550].end 32557.05284375
transcript.pyannote[5551].speaker SPEAKER_36
transcript.pyannote[5551].start 32557.06971875
transcript.pyannote[5551].end 32557.71096875
transcript.pyannote[5552].speaker SPEAKER_36
transcript.pyannote[5552].start 32557.72784375
transcript.pyannote[5552].end 32557.76159375
transcript.pyannote[5553].speaker SPEAKER_36
transcript.pyannote[5553].start 32557.77846875
transcript.pyannote[5553].end 32557.79534375
transcript.pyannote[5554].speaker SPEAKER_36
transcript.pyannote[5554].start 32557.98096875
transcript.pyannote[5554].end 32558.04846875
transcript.pyannote[5555].speaker SPEAKER_36
transcript.pyannote[5555].start 32565.94596875
transcript.pyannote[5555].end 32566.68846875
transcript.pyannote[5556].speaker SPEAKER_36
transcript.pyannote[5556].start 32567.02596875
transcript.pyannote[5556].end 32575.34534375
transcript.pyannote[5557].speaker SPEAKER_32
transcript.pyannote[5557].start 32578.33221875
transcript.pyannote[5557].end 32579.09159375
transcript.pyannote[5558].speaker SPEAKER_36
transcript.pyannote[5558].start 32579.63159375
transcript.pyannote[5558].end 32582.23034375
transcript.pyannote[5559].speaker SPEAKER_36
transcript.pyannote[5559].start 32584.81221875
transcript.pyannote[5559].end 32585.52096875
transcript.pyannote[5560].speaker SPEAKER_21
transcript.pyannote[5560].start 32585.97659375
transcript.pyannote[5560].end 32586.21284375
transcript.pyannote[5561].speaker SPEAKER_21
transcript.pyannote[5561].start 32587.03971875
transcript.pyannote[5561].end 32587.73159375
transcript.pyannote[5562].speaker SPEAKER_21
transcript.pyannote[5562].start 32587.96784375
transcript.pyannote[5562].end 32589.50346875
transcript.pyannote[5563].speaker SPEAKER_21
transcript.pyannote[5563].start 32589.97596875
transcript.pyannote[5563].end 32595.59534375
transcript.pyannote[5564].speaker SPEAKER_36
transcript.pyannote[5564].start 32595.98346875
transcript.pyannote[5564].end 32598.26159375
transcript.pyannote[5565].speaker SPEAKER_31
transcript.pyannote[5565].start 32600.97846875
transcript.pyannote[5565].end 32601.95721875
transcript.pyannote[5566].speaker SPEAKER_31
transcript.pyannote[5566].start 32601.97409375
transcript.pyannote[5566].end 32602.02471875
transcript.pyannote[5567].speaker SPEAKER_31
transcript.pyannote[5567].start 32603.00346875
transcript.pyannote[5567].end 32603.05409375
transcript.pyannote[5568].speaker SPEAKER_21
transcript.pyannote[5568].start 32603.05409375
transcript.pyannote[5568].end 32609.24721875
transcript.pyannote[5569].speaker SPEAKER_15
transcript.pyannote[5569].start 32607.89721875
transcript.pyannote[5569].end 32608.03221875
transcript.pyannote[5570].speaker SPEAKER_47
transcript.pyannote[5570].start 32608.03221875
transcript.pyannote[5570].end 32608.13346875
transcript.pyannote[5571].speaker SPEAKER_15
transcript.pyannote[5571].start 32608.13346875
transcript.pyannote[5571].end 32608.16721875
transcript.pyannote[5572].speaker SPEAKER_21
transcript.pyannote[5572].start 32609.26409375
transcript.pyannote[5572].end 32609.56784375
transcript.pyannote[5573].speaker SPEAKER_15
transcript.pyannote[5573].start 32609.56784375
transcript.pyannote[5573].end 32610.37784375
transcript.pyannote[5574].speaker SPEAKER_21
transcript.pyannote[5574].start 32610.37784375
transcript.pyannote[5574].end 32610.42846875
transcript.pyannote[5575].speaker SPEAKER_47
transcript.pyannote[5575].start 32610.42846875
transcript.pyannote[5575].end 32610.44534375
transcript.pyannote[5576].speaker SPEAKER_21
transcript.pyannote[5576].start 32610.44534375
transcript.pyannote[5576].end 32612.13284375
transcript.pyannote[5577].speaker SPEAKER_47
transcript.pyannote[5577].start 32610.47909375
transcript.pyannote[5577].end 32611.22159375
transcript.pyannote[5578].speaker SPEAKER_32
transcript.pyannote[5578].start 32611.22159375
transcript.pyannote[5578].end 32611.28909375
transcript.pyannote[5579].speaker SPEAKER_32
transcript.pyannote[5579].start 32612.13284375
transcript.pyannote[5579].end 32612.30159375
transcript.pyannote[5580].speaker SPEAKER_21
transcript.pyannote[5580].start 32612.30159375
transcript.pyannote[5580].end 32612.90909375
transcript.pyannote[5581].speaker SPEAKER_21
transcript.pyannote[5581].start 32613.80346875
transcript.pyannote[5581].end 32613.85409375
transcript.pyannote[5582].speaker SPEAKER_47
transcript.pyannote[5582].start 32613.85409375
transcript.pyannote[5582].end 32614.44471875
transcript.pyannote[5583].speaker SPEAKER_47
transcript.pyannote[5583].start 32616.53721875
transcript.pyannote[5583].end 32618.30909375
transcript.pyannote[5584].speaker SPEAKER_47
transcript.pyannote[5584].start 32619.87846875
transcript.pyannote[5584].end 32620.80659375
transcript.pyannote[5585].speaker SPEAKER_32
transcript.pyannote[5585].start 32621.04284375
transcript.pyannote[5585].end 32621.81909375
transcript.pyannote[5586].speaker SPEAKER_47
transcript.pyannote[5586].start 32622.03846875
transcript.pyannote[5586].end 32622.83159375
transcript.pyannote[5587].speaker SPEAKER_32
transcript.pyannote[5587].start 32622.22409375
transcript.pyannote[5587].end 32627.11784375
transcript.pyannote[5588].speaker SPEAKER_32
transcript.pyannote[5588].start 32627.50596875
transcript.pyannote[5588].end 32627.79284375
transcript.pyannote[5589].speaker SPEAKER_21
transcript.pyannote[5589].start 32627.79284375
transcript.pyannote[5589].end 32628.23159375
transcript.pyannote[5590].speaker SPEAKER_21
transcript.pyannote[5590].start 32629.07534375
transcript.pyannote[5590].end 32630.13846875
transcript.pyannote[5591].speaker SPEAKER_02
transcript.pyannote[5591].start 32630.54346875
transcript.pyannote[5591].end 32630.93159375
transcript.pyannote[5592].speaker SPEAKER_32
transcript.pyannote[5592].start 32630.93159375
transcript.pyannote[5592].end 32631.45471875
transcript.pyannote[5593].speaker SPEAKER_02
transcript.pyannote[5593].start 32631.45471875
transcript.pyannote[5593].end 32631.48846875
transcript.pyannote[5594].speaker SPEAKER_21
transcript.pyannote[5594].start 32631.47159375
transcript.pyannote[5594].end 32633.58096875
transcript.pyannote[5595].speaker SPEAKER_32
transcript.pyannote[5595].start 32631.48846875
transcript.pyannote[5595].end 32631.52221875
transcript.pyannote[5596].speaker SPEAKER_21
transcript.pyannote[5596].start 32633.88471875
transcript.pyannote[5596].end 32635.79159375
transcript.pyannote[5597].speaker SPEAKER_21
transcript.pyannote[5597].start 32636.51721875
transcript.pyannote[5597].end 32642.27159375
transcript.pyannote[5598].speaker SPEAKER_35
transcript.pyannote[5598].start 32642.27159375
transcript.pyannote[5598].end 32642.44034375
transcript.pyannote[5599].speaker SPEAKER_21
transcript.pyannote[5599].start 32642.44034375
transcript.pyannote[5599].end 32642.57534375
transcript.pyannote[5600].speaker SPEAKER_35
transcript.pyannote[5600].start 32642.57534375
transcript.pyannote[5600].end 32642.67659375
transcript.pyannote[5601].speaker SPEAKER_21
transcript.pyannote[5601].start 32642.67659375
transcript.pyannote[5601].end 32642.96346875
transcript.pyannote[5602].speaker SPEAKER_35
transcript.pyannote[5602].start 32642.96346875
transcript.pyannote[5602].end 32643.60471875
transcript.pyannote[5603].speaker SPEAKER_31
transcript.pyannote[5603].start 32644.31346875
transcript.pyannote[5603].end 32644.39784375
transcript.pyannote[5604].speaker SPEAKER_47
transcript.pyannote[5604].start 32644.51596875
transcript.pyannote[5604].end 32646.25409375
transcript.pyannote[5605].speaker SPEAKER_35
transcript.pyannote[5605].start 32645.14034375
transcript.pyannote[5605].end 32652.02534375
transcript.pyannote[5606].speaker SPEAKER_47
transcript.pyannote[5606].start 32648.70096875
transcript.pyannote[5606].end 32651.23221875
transcript.pyannote[5607].speaker SPEAKER_32
transcript.pyannote[5607].start 32651.23221875
transcript.pyannote[5607].end 32651.24909375
transcript.pyannote[5608].speaker SPEAKER_32
transcript.pyannote[5608].start 32652.02534375
transcript.pyannote[5608].end 32658.64034375
transcript.pyannote[5609].speaker SPEAKER_47
transcript.pyannote[5609].start 32652.37971875
transcript.pyannote[5609].end 32654.75909375
transcript.pyannote[5610].speaker SPEAKER_43
transcript.pyannote[5610].start 32654.75909375
transcript.pyannote[5610].end 32654.80971875
transcript.pyannote[5611].speaker SPEAKER_47
transcript.pyannote[5611].start 32656.91909375
transcript.pyannote[5611].end 32663.70284375
transcript.pyannote[5612].speaker SPEAKER_44
transcript.pyannote[5612].start 32663.70284375
transcript.pyannote[5612].end 32671.36409375
transcript.pyannote[5613].speaker SPEAKER_47
transcript.pyannote[5613].start 32664.66471875
transcript.pyannote[5613].end 32664.95159375
transcript.pyannote[5614].speaker SPEAKER_47
transcript.pyannote[5614].start 32670.25034375
transcript.pyannote[5614].end 32672.20784375
transcript.pyannote[5615].speaker SPEAKER_35
transcript.pyannote[5615].start 32671.36409375
transcript.pyannote[5615].end 32671.38096875
transcript.pyannote[5616].speaker SPEAKER_44
transcript.pyannote[5616].start 32671.65096875
transcript.pyannote[5616].end 32672.03909375
transcript.pyannote[5617].speaker SPEAKER_47
transcript.pyannote[5617].start 32672.54534375
transcript.pyannote[5617].end 32673.40596875
transcript.pyannote[5618].speaker SPEAKER_35
transcript.pyannote[5618].start 32673.40596875
transcript.pyannote[5618].end 32674.97534375
transcript.pyannote[5619].speaker SPEAKER_44
transcript.pyannote[5619].start 32674.97534375
transcript.pyannote[5619].end 32675.02596875
transcript.pyannote[5620].speaker SPEAKER_36
transcript.pyannote[5620].start 32675.02596875
transcript.pyannote[5620].end 32675.17784375
transcript.pyannote[5621].speaker SPEAKER_44
transcript.pyannote[5621].start 32675.17784375
transcript.pyannote[5621].end 32675.27909375
transcript.pyannote[5622].speaker SPEAKER_47
transcript.pyannote[5622].start 32675.27909375
transcript.pyannote[5622].end 32681.69159375
transcript.pyannote[5623].speaker SPEAKER_44
transcript.pyannote[5623].start 32675.29596875
transcript.pyannote[5623].end 32675.36346875
transcript.pyannote[5624].speaker SPEAKER_35
transcript.pyannote[5624].start 32675.36346875
transcript.pyannote[5624].end 32675.53221875
transcript.pyannote[5625].speaker SPEAKER_44
transcript.pyannote[5625].start 32675.53221875
transcript.pyannote[5625].end 32675.97096875
transcript.pyannote[5626].speaker SPEAKER_36
transcript.pyannote[5626].start 32675.97096875
transcript.pyannote[5626].end 32676.62909375
transcript.pyannote[5627].speaker SPEAKER_36
transcript.pyannote[5627].start 32677.67534375
transcript.pyannote[5627].end 32678.23221875
transcript.pyannote[5628].speaker SPEAKER_35
transcript.pyannote[5628].start 32678.23221875
transcript.pyannote[5628].end 32678.51909375
transcript.pyannote[5629].speaker SPEAKER_31
transcript.pyannote[5629].start 32678.51909375
transcript.pyannote[5629].end 32679.66659375
transcript.pyannote[5630].speaker SPEAKER_31
transcript.pyannote[5630].start 32681.21909375
transcript.pyannote[5630].end 32683.68284375
transcript.pyannote[5631].speaker SPEAKER_31
transcript.pyannote[5631].start 32683.83471875
transcript.pyannote[5631].end 32684.02034375
transcript.pyannote[5632].speaker SPEAKER_47
transcript.pyannote[5632].start 32684.02034375
transcript.pyannote[5632].end 32701.03034375
transcript.pyannote[5633].speaker SPEAKER_31
transcript.pyannote[5633].start 32684.05409375
transcript.pyannote[5633].end 32684.40846875
transcript.pyannote[5634].speaker SPEAKER_47
transcript.pyannote[5634].start 32701.78971875
transcript.pyannote[5634].end 32702.24534375
transcript.pyannote[5635].speaker SPEAKER_47
transcript.pyannote[5635].start 32702.80221875
transcript.pyannote[5635].end 32704.13534375
transcript.pyannote[5636].speaker SPEAKER_47
transcript.pyannote[5636].start 32704.82721875
transcript.pyannote[5636].end 32723.65971875
transcript.pyannote[5637].speaker SPEAKER_47
transcript.pyannote[5637].start 32724.43596875
transcript.pyannote[5637].end 32752.11096875
transcript.pyannote[5638].speaker SPEAKER_47
transcript.pyannote[5638].start 32752.22909375
transcript.pyannote[5638].end 32762.15159375
transcript.pyannote[5639].speaker SPEAKER_35
transcript.pyannote[5639].start 32761.62846875
transcript.pyannote[5639].end 32765.96534375
transcript.pyannote[5640].speaker SPEAKER_02
transcript.pyannote[5640].start 32765.96534375
transcript.pyannote[5640].end 32767.01159375
transcript.pyannote[5641].speaker SPEAKER_31
transcript.pyannote[5641].start 32766.26909375
transcript.pyannote[5641].end 32770.79159375
transcript.pyannote[5642].speaker SPEAKER_02
transcript.pyannote[5642].start 32768.17596875
transcript.pyannote[5642].end 32768.26034375
transcript.pyannote[5643].speaker SPEAKER_02
transcript.pyannote[5643].start 32768.47971875
transcript.pyannote[5643].end 32771.80409375
transcript.pyannote[5644].speaker SPEAKER_31
transcript.pyannote[5644].start 32771.80409375
transcript.pyannote[5644].end 32782.43534375
transcript.pyannote[5645].speaker SPEAKER_02
transcript.pyannote[5645].start 32774.62221875
transcript.pyannote[5645].end 32775.49971875
transcript.pyannote[5646].speaker SPEAKER_32
transcript.pyannote[5646].start 32775.49971875
transcript.pyannote[5646].end 32776.83284375
transcript.pyannote[5647].speaker SPEAKER_32
transcript.pyannote[5647].start 32778.62159375
transcript.pyannote[5647].end 32778.94221875
transcript.pyannote[5648].speaker SPEAKER_02
transcript.pyannote[5648].start 32778.94221875
transcript.pyannote[5648].end 32778.95909375
transcript.pyannote[5649].speaker SPEAKER_32
transcript.pyannote[5649].start 32778.95909375
transcript.pyannote[5649].end 32782.36784375
transcript.whisperx[0].start 1803.972
transcript.whisperx[0].end 1809.358
transcript.whisperx[0].text 出席委員已逐法定人數現在開會。請議事人員宣讀上次會議議事錄。
transcript.whisperx[1].start 1819.042
transcript.whisperx[1].end 1846.884
transcript.whisperx[1].text 立法院第11屆第2會期交通委員會第16次全體委員會議.事由.時間113年12月18日星期三上午9時至下午1時29分12月19日星期四上午9時4分至中午12時47分地點本院紅樓201會議室主席委員許志傑等15人練習委員王逸川等22人練習官員12月18日及12月19日交通部部長陳士凱等主席魯昭及委員明哲12月18日報告思想宣讀上次會議一事錄
transcript.whisperx[2].start 1847.684
transcript.whisperx[2].end 1871.244
transcript.whisperx[2].text 決定議事錄確定,邀請交通部部長陳世凱等進行專題報告並備諮詢。決定報告及詢討完畢,討論四項一至三審查114年度交通部觀光署及所屬觀光發展及經中華郵政分油性公司預算。本次會議由交通部部長陳世凱等報告後,藉由委員李昆哲等22人提出質詢。軍警部長陳世凱及相關人員分別予以答覆。
transcript.whisperx[3].start 1873.334
transcript.whisperx[3].end 1889.888
transcript.whisperx[3].text 決議一、報告及詢問答完畢。二、委員黃健豪等二人所提書面諮詢均列入紀錄並刊登公報。三、委員諮詢中要求提供相關書面資料或未及答覆部分,請將部件數以書面答覆。四、第一案自第三案均另折其進行處理。委員預算提案。
transcript.whisperx[4].start 1890.407
transcript.whisperx[4].end 1916.213
transcript.whisperx[4].text 於12月25日星期三中午12時接著修建12月19日討論思想一至三繼續審查114年度交通部民用航空局民航事業作業基金桃園國際機場股份有限公司預算決議一本日預算審查結果照列暫照列或照協商結論通過二本日通過之決議文字授權主席及議事人員調整三第一案至第三案均審查完畢內容如審查結果
transcript.whisperx[5].start 1917.912
transcript.whisperx[5].end 1947.492
transcript.whisperx[5].text 交通部民用航空局單位預算一稅入部分第二款照列第三款歸份收入第118項改列為4485萬6千元第四款照列第七款無列數稅出部分第14款交通部主管第二項民用航空局照列本項通過決議22項附屬單位預算營業及非營業部分一交通部主管交通作業基金民航事業作業基金分預算一因一審查結果遂同調整二業務收支
transcript.whisperx[6].start 1949.414
transcript.whisperx[6].end 1961.327
transcript.whisperx[6].text 業務總收入改列為185億9796萬3000元令。業務外收入向下其他業務外收入資機場公司營餘分配收入預算配合桃園國際機場股份有限公司
transcript.whisperx[7].start 1962.017
transcript.whisperx[7].end 1970.683
transcript.whisperx[7].text 預算審查結果隨同調整。業務總支出改列為147億8,559萬5千元本期剩餘改列為38億1,238萬8千元。三、四無列數。五、固定資產建設改良擴充改列為193億9,270萬6千元。六、無列數。七、通過決議26項。二、交通部主管桃園國際機場股份有限公司
transcript.whisperx[8].start 1986.593
transcript.whisperx[8].end 1992.357
transcript.whisperx[8].text 一因應審查結果隨同調整二營業收支營業總收入改列為244億1484萬7千元營業總支出不含所得稅費用改列為166億6963萬元
transcript.whisperx[9].start 2002.563
transcript.whisperx[9].end 2016.372
transcript.whisperx[9].text 稅前淨利改列為717億4521萬7千元。三、隨同營業總支出審查結果調整。四、五列數五重大資建設事業改列為182億1218萬9千元。六、因應審查結果隨同調整。七、不敗預算長期債務償還60億元照列。八、通貨決議25項散會宣布完畢。請問各位委員對議事錄有沒有意見?
transcript.whisperx[10].start 2031.954
transcript.whisperx[10].end 2036.355
transcript.whisperx[10].text 一、繼續審查114年度中央政府總預算案一、繼續審查114年度中央政府總預算案一、繼續審查114年度中央政府總預算案
transcript.whisperx[11].start 2060.856
transcript.whisperx[11].end 2065.803
transcript.whisperx[11].text 林國成委員秋洛華委員
transcript.whisperx[12].start 2069.973
transcript.whisperx[12].end 2087.525
transcript.whisperx[12].text 介紹列席人員交通部部長陳世凱陸正道安司黃雲貴司長運輸監理司林福山司長科技資訊司黃欣勳司長產業國際司陳晉生司長韓政司韓振華司長
transcript.whisperx[13].start 2096.131
transcript.whisperx[13].end 2102.695
transcript.whisperx[13].text 綜合規劃司-張垂榮司長會計處-張信義處長人事處-陳昆仁處長重地處-陳慧欣處長秘書處-黃定環處長公路局-陳文瑞局長主計事-張立庭主任
transcript.whisperx[14].start 2118.662
transcript.whisperx[14].end 2138.11
transcript.whisperx[14].text 高速公路局趙信華局長主計事蕭淑欣主任國營臺灣鐵路股份有限公司杜威董事長桃園國際機場股份有限公司范孝倫總經理民用航空局副組長季培芳
transcript.whisperx[15].start 2144.742
transcript.whisperx[15].end 2161.875
transcript.whisperx[15].text 運輸研究所副組長吳德傳鐵道局副工程師黃愚芳行政院主計總署公務預算處專委黃子涵基金預算處科長李正道
transcript.whisperx[16].start 2171.874
transcript.whisperx[16].end 2200.486
transcript.whisperx[16].text 好那我們現在進行討論事項114年度交通部公路局及所屬國道公路建設管理基金資安署數位產業署預算的處理那我們現在進行協商同時請議事人員宣讀預算書及委員提案我們協商的順序依序是交通部公路局及所屬國道公路建設管理基金資安署數位產業署
transcript.whisperx[17].start 2201.449
transcript.whisperx[17].end 2201.469
transcript.whisperx[17].text 好,謝謝
transcript.whisperx[18].start 2236.394
transcript.whisperx[18].end 2264.142
transcript.whisperx[18].text 中華民國114年度中央政府總預算案交通部稅務來源別預算數第二款罰款及賠償收入第144項交通部244萬元第三款規費收入第117項好那我們現在開始針對交通部的預算來進行這個審查那我們就是按照這個科目我們先從
transcript.whisperx[19].start 2265.702
transcript.whisperx[19].end 2287.288
transcript.whisperx[19].text 稅務的歸費收入第1案和第6案我們開始來進行做一個審查。那我們針對稅務的歸費收入我們有6位委員有提案,那這個部分剪委員我們要補充的。好,我們林俊憲委員。謝謝主席。我先提第5案。
transcript.whisperx[20].start 2292.95
transcript.whisperx[20].end 2315.882
transcript.whisperx[20].text 第1關是關於使用國費收入的棄燃費棄燃費我看過去幾年每一年都超收了甚至有超收兩位數就超收超過10%了那我覺得明年的編類還是有點保守是不是增加蓋箱收入增練十億元那也請詳時以上
transcript.whisperx[21].start 2321.366
transcript.whisperx[21].end 2321.546
transcript.whisperx[21].text 離居縣委員
transcript.whisperx[22].start 2339.665
transcript.whisperx[22].end 2361.304
transcript.whisperx[22].text 二十幾億的部分我想這個編列預算是這樣總是有一些技術問題你們給我一些數字總是沒有一些意義所以說它到底用到哪裡這個因為已經經過多年的實驗如果你們再不核實編列的話我就覺得這個預算大家在那邊給我們一些數字變得沒有意義啦變得技術性的編列但是我們希望能夠
transcript.whisperx[23].start 2362.365
transcript.whisperx[23].end 2369.91
transcript.whisperx[23].text 盡量、核實、編列。所以我這邊是審查5年度中央政府總預算案,除以審查結果關於交通部公路基金-國道公路建。
transcript.whisperx[24].start 2380.993
transcript.whisperx[24].end 2398.749
transcript.whisperx[24].text 那接下來是林國成委員那在接下來是李昆澤委員謝謝主席因為本席提案是在第二案所以在這裡特別跟大家抱歉一下因為那個減劣200億這個是錯誤的是應該是20億不是那個200億所以我們認為是增劣了增劣
transcript.whisperx[25].start 2406.135
transcript.whisperx[25].end 2407.597
transcript.whisperx[25].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[26].start 2425.779
transcript.whisperx[26].end 2427.782
transcript.whisperx[26].text 規會收入向下編列預算287億元。 112年度決算案
transcript.whisperx[27].start 2443.622
transcript.whisperx[27].end 2464.917
transcript.whisperx[27].text 比112年度的預算增加了26億就是誠如剛才郡縣等委員所提的這種狀況這個預算編列是過於保守那為符合預算的實際執行狀況那是應該要增加該項的預算那我提示一議以上
transcript.whisperx[28].start 2467.781
transcript.whisperx[28].end 2468.162
transcript.whisperx[28].text 李卿哲議員
transcript.whisperx[29].start 2477.873
transcript.whisperx[29].end 2494.946
transcript.whisperx[29].text 是,那針對這個既然費稅率變略的這個部分我想大概跟各位我們報告一下大概就是說從112年到這個114年的部分的話那其實在114年的話我們自己增加了8.75億那所以從這個112年的這個稅率到這個114年的話其實這三年大概總共增略了32.25億
transcript.whisperx[30].start 2506.715
transcript.whisperx[30].end 2507.976
transcript.whisperx[30].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[31].start 2526.095
transcript.whisperx[31].end 2545.761
transcript.whisperx[31].text 那所以在扣掉這些相關電動車輛的一個這個部分的話也有相當的一個免徵的一個數量所以我想是不是建議就這個陣列這個1億元這個來做明年的一個這個預算以上做一個簡單的報告
transcript.whisperx[32].start 2547.418
transcript.whisperx[32].end 2572.423
transcript.whisperx[32].text 好那交通部這邊有說明就是說因為那個電動車的數量有在增加那是不是照著原來的傳統的車輛數量會有下降比例上就是有消漲所以建議在這個部分增業以億元那不曉得各位有沒有什麼意見還是我們就照交通部的一個建議
transcript.whisperx[33].start 2575.066
transcript.whisperx[33].end 2577.577
transcript.whisperx[33].text 使用規費收入、汽車燃料使用費為1億元
transcript.whisperx[34].start 2582.524
transcript.whisperx[34].end 2603.989
transcript.whisperx[34].text 二十億也有十億的也有五億的那為什麼要提現在他們每年徵收是二十八億以上所以這個預算當然啦因為如果徵類的話因為他是二十八億到三十二億左右那如果是取得一個剛剛不是競選獎五億是吧
transcript.whisperx[35].start 2609.063
transcript.whisperx[35].end 2614.228
transcript.whisperx[35].text 在過去交通委員會我們一般都會尊重召委的才事當然在相關的這個要增加相關的規費收入
transcript.whisperx[36].start 2638.428
transcript.whisperx[36].end 2641.151
transcript.whisperx[36].text 請交通部再說明一下,讓趙偉做最後的採視。
transcript.whisperx[37].start 2646.821
transcript.whisperx[37].end 2669.097
transcript.whisperx[37].text 這個部分我再跟委員報告一下剛剛講說除了明年這個電動車輛會這個到府這個增加之外其實包括市場的預測都一樣那另外我再跟委員報告一個重點其實每年應徵未徵就是說這一個這一個還要放到隔壘區徵的就是民眾部角的部分其實一年大概有十五十年
transcript.whisperx[38].start 2669.717
transcript.whisperx[38].end 2670.998
transcript.whisperx[38].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[39].start 2691.846
transcript.whisperx[39].end 2693.827
transcript.whisperx[39].text 公路總局同仁入戶增加
transcript.whisperx[40].start 2721.045
transcript.whisperx[40].end 2727.39
transcript.whisperx[40].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[41].start 2745.925
transcript.whisperx[41].end 2747.986
transcript.whisperx[41].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[42].start 2764.65
transcript.whisperx[42].end 2783.49
transcript.whisperx[42].text 議員議員議員
transcript.whisperx[43].start 2783.49
transcript.whisperx[43].end 2805.981
transcript.whisperx[43].text 議員議員議員議員議員議員
transcript.whisperx[44].start 2806.241
transcript.whisperx[44].end 2808.603
transcript.whisperx[44].text 第8案稅出通案業務費水電費提案
transcript.whisperx[45].start 2835.703
transcript.whisperx[45].end 2858.75
transcript.whisperx[45].text 研究發展空間10%。好來謝謝主席那針對於退出這個項架的一個水電費事實上在我上個禮拜的一個審議的過程因為我知道整個這個政府的各部會很多的部會都大幅去增加水電費事實上對民眾我覺得有一點那個剝奪感
transcript.whisperx[46].start 2860.35
transcript.whisperx[46].end 2883.456
transcript.whisperx[46].text 議員議員議員議員
transcript.whisperx[47].start 2884.824
transcript.whisperx[47].end 2897.912
transcript.whisperx[47].text 好,那麼請交通部這邊說明這邊跟委員報告我們交通部在部分部在過去10年一直是部會的節電的自由生我們到現在為止還是維持在104年的EUI值
transcript.whisperx[48].start 2901.394
transcript.whisperx[48].end 2922.319
transcript.whisperx[48].text 昨年這兩年我們在那個電費調漲上面因為沒辦法去扣合我們的預算編列像112年漲的漲幅我們是高壓用戶漲幅達26%那所以那一年我們的預算又被捅3所以我們到了9月份的時候這個電費就已經出現了缺口
transcript.whisperx[49].start 2922.859
transcript.whisperx[49].end 2941.973
transcript.whisperx[49].text 那今年4月1號又漲了16%那我們現在編的也不過是比去年多120幾萬所以再加上我們還有主改增加了將近80幾位同仁所以這用電在今年是勢必會增加的所以我這邊也懇請委員能夠讓我們維持這個編列以上 謝謝
transcript.whisperx[50].start 2948.459
transcript.whisperx[50].end 2950.62
transcript.whisperx[50].text 水電費支出水電費支出
transcript.whisperx[51].start 2978.439
transcript.whisperx[51].end 3000.964
transcript.whisperx[51].text 議員議員議員
transcript.whisperx[52].start 3001.044
transcript.whisperx[52].end 3005.846
transcript.whisperx[52].text 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[53].start 3029.598
transcript.whisperx[53].end 3030.199
transcript.whisperx[53].text 韓國瑜主席韓國瑜主席
transcript.whisperx[54].start 3057.378
transcript.whisperx[54].end 3074.668
transcript.whisperx[54].text 檢討非必要的委辦計劃對於相關委辦的規劃重要性及未來預計的成果都應該要清楚的說明。這個部分我是提案三減一千萬、凍結10%、另外凍結10%提出書面後解凍以上
transcript.whisperx[55].start 3080.253
transcript.whisperx[55].end 3081.514
transcript.whisperx[55].text 李昆哲議員法定預算2.28億元,新的一年4.1億元
transcript.whisperx[56].start 3101.596
transcript.whisperx[56].end 3101.796
transcript.whisperx[56].text 委員會主席
transcript.whisperx[57].start 3125.031
transcript.whisperx[57].end 3153.988
transcript.whisperx[57].text 許多計畫都需要協辦因為人力不足我覺得目前很多的單位大概最嚴重應該是數位部就是透過尾半費來增加人力我覺得這個是完全不認同的我們這麼多年來精簡公務人力然後很有成效人事行政總處也是說自己怎麼不得了結果弄了半天用尾半費而且規定要駐場人員我想交通部可能還算少的
transcript.whisperx[58].start 3154.568
transcript.whisperx[58].end 3173.341
transcript.whisperx[58].text 不要看數據請你來一到三人來幫忙變成我們承辦人員的小祕書這個部分在很多部會很明顯很明顯那我相信交通部委辦的一個費增加82%我覺得沒有說得很清楚所以我這邊的一個提案是3減1.5億凍結10%提專案報告使得動之謝謝
transcript.whisperx[59].start 3179.282
transcript.whisperx[59].end 3198.045
transcript.whisperx[59].text 邱若驊委員提出第13案,因為看到交通部已經在道路交通安全中的一般事務費編列宣傳費,現在又在業務費中的委辦費編列宣傳費,本行認為宣傳費不宜編列太多,所以要求減列300萬。
transcript.whisperx[60].start 3199.346
transcript.whisperx[60].end 3224.581
transcript.whisperx[60].text 一、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建一、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建一、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建一、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建一、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建一、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建一、繼續審查114年度中央政府總預算案關於交通部公路基
transcript.whisperx[61].start 3227.683
transcript.whisperx[61].end 3252.728
transcript.whisperx[61].text 好,稍微各位委員好,簡單跟各位委員報告,因為剛委員所提到說這個委判會是增加人力,事實上在交通部不是,因為就以智慧運輸系統這個計畫來說,因為科技日新月異,所以需要透過這樣的計畫去找到在科技更多元的人才來幫助我們做前瞻的研究等等,制定這個標準還有相關的這個政策跟法制。
transcript.whisperx[62].start 3253.228
transcript.whisperx[62].end 3272.69
transcript.whisperx[62].text 那以114年來說我們除了要做我們現在在整個跨部門跨部會都非常清楚的運輸資料的整合流通服務TTX這個平台我們收了公共運輸等等包括Google的旅運規劃的公共運輸各位可能有用到這都是來藉機我們部裡面的TTX
transcript.whisperx[63].start 3273.191
transcript.whisperx[63].end 3294.056
transcript.whisperx[63].text 另外在114年我們還要做車鏈網的實證的這個部分透過AI的這些先進的技術來降低入口衝突的這個部分另外對於我們非常重視人本部長非常重視人本所以我們會營造在114年會營造弱勢用路人在包括市上同胞在搭公車過馬路這一塊還有
transcript.whisperx[64].start 3296.738
transcript.whisperx[64].end 3298.4
transcript.whisperx[64].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[65].start 3311.476
transcript.whisperx[65].end 3334.497
transcript.whisperx[65].text 議員議員議員議員議員議員
transcript.whisperx[66].start 3334.737
transcript.whisperx[66].end 3343.123
transcript.whisperx[66].text 您所關心的這個所謂的道路交通安全這一塊是強調宣導用路人風險意識跟法規用路智能這有所不同以上說明
transcript.whisperx[67].start 3345.745
transcript.whisperx[67].end 3359.572
transcript.whisperx[67].text 好,謝謝我們交通部這邊的說明。那有關第9到13案,那就是有委員提刪減1億5千萬,凍結10%。還有李委員刪減1千萬加凍結10%。那還有廖二委員提刪減1千萬加凍結870萬。還有我們邱若驊委員。
transcript.whisperx[68].start 3369.937
transcript.whisperx[68].end 3376.485
transcript.whisperx[68].text 三、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建
transcript.whisperx[69].start 3384.754
transcript.whisperx[69].end 3390.516
transcript.whisperx[69].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[70].start 3412.345
transcript.whisperx[70].end 3412.505
transcript.whisperx[70].text 委員會主席
transcript.whisperx[71].start 3427.443
transcript.whisperx[71].end 3429.685
transcript.whisperx[71].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[72].start 3445.776
transcript.whisperx[72].end 3447.417
transcript.whisperx[72].text 檢略5千萬、凍結10%提專案報告有多少一座人力做駐場人員檢略5千萬
transcript.whisperx[73].start 3466.975
transcript.whisperx[73].end 3481.202
transcript.whisperx[73].text 市長這邊再做一個補充你要講詳細一點這個項目裡面我特別報告裡面有一個新車那個新車安全這個平等計畫那這裡面這個零點的部分增加這個零點
transcript.whisperx[74].start 3482.563
transcript.whisperx[74].end 3485.205
transcript.whisperx[74].text 公費出的部分只有4個車型,那明年回歸到
transcript.whisperx[75].start 3506.578
transcript.whisperx[75].end 3529.565
transcript.whisperx[75].text 議員議員議員議員
transcript.whisperx[76].start 3529.765
transcript.whisperx[76].end 3536.43
transcript.whisperx[76].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[77].start 3556.605
transcript.whisperx[77].end 3558.347
transcript.whisperx[77].text 委員會主席委員會主席委員會主席委員會主席委員會主席
transcript.whisperx[78].start 3576.823
transcript.whisperx[78].end 3592.681
transcript.whisperx[78].text 主席,剛剛的盧委員關心那個部分,如果按照那個交通部的說明,主要是新業務那個車輛碰撞試驗嘛,你原本做四項變做為八項嘛,我知道我知道
transcript.whisperx[79].start 3594.122
transcript.whisperx[79].end 3594.142
transcript.whisperx[79].text 委員會長
transcript.whisperx[80].start 3611.46
transcript.whisperx[80].end 3612.722
transcript.whisperx[80].text 光這個部分就會增加九千萬嗎?
transcript.whisperx[81].start 3627.952
transcript.whisperx[81].end 3628.993
transcript.whisperx[81].text 有關交通部就是在114年這個業務費、委辦費這個部分
transcript.whisperx[82].start 3649.996
transcript.whisperx[82].end 3675.61
transcript.whisperx[82].text 總預算是四億一千五百九十一萬三千元那我們向下還有就是三個委辦計劃那我們做一個通案就是科目的一個處理根據剛剛交通部的一個說明因為有新增計劃尤其是針對新車安全平等這個也是涉及到這個車輛的安全也是攸關我們每一個用用車人的一個安全問題
transcript.whisperx[83].start 3676.57
transcript.whisperx[83].end 3698.897
transcript.whisperx[83].text 那這個ARTC我記得這個是好像前年才成立的一個測試嗎?從112年開始做這個平等的作業平等嘛112年我記得那時候好像開始營運的時候我有去出席那個典禮所以這個是蠻重要的一個計畫那本席在這邊還是做一個決議我們還是就是說在這個科目我們就是
transcript.whisperx[84].start 3704.559
transcript.whisperx[84].end 3715.364
transcript.whisperx[84].text 決議還是3減500萬然後凍結10%然後科目自行調整那魯昭爾說要求做專案報告
transcript.whisperx[85].start 3717.623
transcript.whisperx[85].end 3738.229
transcript.whisperx[85].text 書面報告書面報告那是不是召委可以,吳召委這邊可以同意。這樣的喔,謝謝主席啦。那我想每一個人的一個想法不一樣,你們我相信你們要去努力啦。但是那個這樣的一個成長的一個幅度啊,尤其在尾半飛這件事情,尾半飛在很多單位都是失控的。
transcript.whisperx[86].start 3738.729
transcript.whisperx[86].end 3760.196
transcript.whisperx[86].text 議員議員議員
transcript.whisperx[87].start 3760.616
transcript.whisperx[87].end 3784.114
transcript.whisperx[87].text 主席,至少刪除兩千萬,然後做專案報告,好不好?不然就依徵求大家的意見,謝謝。因為他有一個新增計畫,就是這個安全平等他要做碰撞的一個測試。剛剛市長說明這是要時知時負啦。雖然這樣子啊,五招而已,不然就是
transcript.whisperx[88].start 3784.514
transcript.whisperx[88].end 3787.275
transcript.whisperx[88].text 一億五千萬當然多,我還是建議最少要三億千萬。
transcript.whisperx[89].start 3806.881
transcript.whisperx[89].end 3808.763
transcript.whisperx[89].text 三、繼續審查114年度中央政府總預算案關於交通部單位預算
transcript.whisperx[90].start 3827.269
transcript.whisperx[90].end 3831.593
transcript.whisperx[90].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[91].start 3851.213
transcript.whisperx[91].end 3852.154
transcript.whisperx[91].text 三減一千萬,凍結十趴,提書面報告
transcript.whisperx[92].start 3868.112
transcript.whisperx[92].end 3888.644
transcript.whisperx[92].text 因為那時候那個開幕嘛我有去參觀他們有做實際的碰撞的測試讓我們整體的一個參觀我是可以做這樣的一個建議好 謝謝那我們科目就自行調整了就是9到13案就是3減1000萬凍結10%提書面報告然後科目自行調整然後第11案我們改主決議謝謝
transcript.whisperx[93].start 3899.452
transcript.whisperx[93].end 3916.351
transcript.whisperx[93].text 接下我們處理第14到19案有關業務費一般事務費的部分那14到19案我們有6位委員有提案那是不是請提案委員有沒有要做說明的好我們請林俊憲委員謝謝
transcript.whisperx[94].start 3918.218
transcript.whisperx[94].end 3937.466
transcript.whisperx[94].text 感謝主席本期第19案是我們交通部的道路交通安全業務費一般事務費這裏面有一個媒體政策和業務宣導費其實你明年的整體道安經費是減少減少15%但你整體經費減少裏面其中有一項
transcript.whisperx[95].start 3941.892
transcript.whisperx[95].end 3967.5
transcript.whisperx[95].text 就是本席提的媒體政治案業務宣導費卻反而增加而且增加超過一倍你原本今年是編4725萬明年編了超過一億增加了5325億你整個科目的預算都這樣減少了為什麼媒體政治案業務宣導你明年要宣導什麼道路交通安全啊
transcript.whisperx[96].start 3968.916
transcript.whisperx[96].end 3969.076
transcript.whisperx[96].text 委員會主席
transcript.whisperx[97].start 3993.188
transcript.whisperx[97].end 4016.695
transcript.whisperx[97].text 來 謝謝主席針對這個一般事務費它裡面因為第一個我們跟前一年比較113年的預算大概1.46億那今年我們現在正在審議的預算大概2.2億再直接比較就增加了7357萬大概增幅高達50%所以增加的也不少
transcript.whisperx[98].start 4017.515
transcript.whisperx[98].end 4040.928
transcript.whisperx[98].text 那我們特別的觀察這一般事務費的向下因為涵蓋了媒體宣傳、政策宣傳等等的宣傳費其實不瞞這個交通部這個我們事實上蠻關心這樣的一個宣傳這樣的一個情況所以在這樣的一個顧慮之下我個人的一個提案是針對於第14案我這邊簡列3000萬凍結10%以上
transcript.whisperx[99].start 4047.386
transcript.whisperx[99].end 4067.336
transcript.whisperx[99].text 好,謝謝。然後還有沒有提案委員要做說明?好,廖先祥委員,再邱樂華委員,謝謝。好,謝謝。我個人提3.6千萬,那這可不跟剛剛林俊憲委員講的是一樣的,那就是預算的增幅超過了100%啦,那有點,有點浮邊的一個情況,所以才會提出這樣的建議,謝謝。
transcript.whisperx[100].start 4069.441
transcript.whisperx[100].end 4069.601
transcript.whisperx[100].text 邱若驊委員
transcript.whisperx[101].start 4091.445
transcript.whisperx[101].end 4106.278
transcript.whisperx[101].text 九點四十四啊那本席認為過多的宣傳費空有一作他的用途啊所以這邊提案簡列兩千六百六十二萬五千元好以上好謝謝邱委員那我們現在是不是請交通部這邊做一個說明謝謝
transcript.whisperx[102].start 4108.427
transcript.whisperx[102].end 4124.678
transcript.whisperx[102].text 趙偉還有各位委員大家早安剛才委員關心的有關前面幾個案事實上在29到35案也是會談那個媒體政策跟業務先導費是不是建議到時候併那個案子來談不過這邊先跟委員報告就是說為什麼我們的
transcript.whisperx[103].start 4126.259
transcript.whisperx[103].end 4142.798
transcript.whisperx[103].text 媒體政策跟業務先導非增加5325萬的原因我想大家都知道是說從112年到130年事實上我們整體的那個30死亡人數是有持續下降但是經過我們分析以後
transcript.whisperx[104].start 4143.419
transcript.whisperx[104].end 4165.174
transcript.whisperx[104].text 在這裡面我們的防治重點機車佔了6成高齡者佔了4成那另外大家很關心的就是行人跟兒少這些弱勢用路人的這樣一個死亡的或是受傷的一個情況基於這樣一個考量我們雖然說從工程面我們目前有400億的案子繼續推動
transcript.whisperx[105].start 4165.934
transcript.whisperx[105].end 4189.381
transcript.whisperx[105].text 但畢竟我們經過分析發現在國內有些道路交通事故主要還是來自於用路人的駕駛行為或是用路行為不當所造成的但是這樣要改變我們駕駛行為或是說我們要塑造優質的一個道路安全的文化需要時間及投入所以
transcript.whisperx[106].start 4189.801
transcript.whisperx[106].end 4204.63
transcript.whisperx[106].text 在這樣的考量上我們基本上在明年度會從四個面向來加強宣導最主要是針對我們的高齡長輩我們知道我們高齡長輩在接觸相關的一個媒體
transcript.whisperx[107].start 4205.27
transcript.whisperx[107].end 4220.165
transcript.whisperx[107].text 主要都是來自於電視或者是廣播尤其是電視的中午或者是八點熱門時段所以我們明年是希望能夠增加電視的一個宣導讓大家能夠來
transcript.whisperx[108].start 4224.909
transcript.whisperx[108].end 4250.983
transcript.whisperx[108].text 更多層面的接觸這樣一個宣導廣告第二個當然機車的部分我們希望是說透過這樣一個網路的宣傳讓我們的機車使用尤其是年輕族群他的能夠接受到一些正確使用機車的一個風險風險此外對一些兒少我們也非常最重要的是還有一個是停讓文化的一個一個塑造我們很希望說透過這樣一個宣導
transcript.whisperx[109].start 4254.085
transcript.whisperx[109].end 4277.286
transcript.whisperx[109].text 不管是我們的汽汽車使用人能夠停讓行人我們也同時會宣導就是說我們行人也要有正確的一個手法的觀念來減少這個事故基於以上的考量建議就是說我們這是免三檢然後並凍結十分之一改那個書面報告使得動之以上
transcript.whisperx[110].start 4279.008
transcript.whisperx[110].end 4280.109
transcript.whisperx[110].text 主席主席
transcript.whisperx[111].start 4299.138
transcript.whisperx[111].end 4325.572
transcript.whisperx[111].text 議員議員議員
transcript.whisperx[112].start 4325.872
transcript.whisperx[112].end 4353.17
transcript.whisperx[112].text 現在討論的案子也放在後面這針對於媒體政策跟業務宣導費用不過這邊針對於這個在這一部分的一個宣導的一個費用我覺得也可以先來做處理那我個人覺得說說真的因為沒有信任感我覺得先要取得信任感之後未來在這個信任感上面再來做增加那我個人
transcript.whisperx[113].start 4354.211
transcript.whisperx[113].end 4373.287
transcript.whisperx[113].text 還是堅持三減三千萬凍結百分之十以上?交通部這邊要不要再說?好,那廖先生想委員,謝謝。好,謝謝,謝謝趙委員。那其實交通部當然每年就已經有例行編列他們的媒體宣導的預算。
transcript.whisperx[114].start 4376.036
transcript.whisperx[114].end 4403.108
transcript.whisperx[114].text 這些部分都是新編導我想他們過去也都有許多的一些宣導的業務啦只是說我就認為任何的一個宣導一定是他本身的宣導能夠讓民眾能夠留下深刻的印象才是最重要的而不是說去花錢買石段買那個傳道管道等等的啦我想一個有趣的廣告你有趣的話民眾甚至都會幫你轉傳你根本不用花錢去
transcript.whisperx[115].start 4403.968
transcript.whisperx[115].end 4431.713
transcript.whisperx[115].text 去做一個新聞露出嘛你可能是應該是在製作上面能夠花一點多一點的心思讓這個廣告能夠升值人心才是更重要的啦那我想這個部分應該是過去的過去的成效就已經不是很好的那我們如何能相信我們增加的預算能夠得到我們的目的所以說我會建議就是維持大概跟去年差不多規模的預算去執行那以如果說成效良好的話需要再增加的話
transcript.whisperx[116].start 4433.254
transcript.whisperx[116].end 4452.992
transcript.whisperx[116].text 往後年度再來講。以上。好。謝謝。那如果沒有其他委員有意見的話。請問主席。本席提的是第20還有23案。本席在這兩案的意見是依照目前兩案其實雙方的官方交流成效有限。
transcript.whisperx[117].start 4455.469
transcript.whisperx[117].end 4455.649
transcript.whisperx[117].text 委員會主席
transcript.whisperx[118].start 4471.937
transcript.whisperx[118].end 4489.172
transcript.whisperx[118].text 議員議員議員議員
transcript.whisperx[119].start 4489.172
transcript.whisperx[119].end 4490.373
transcript.whisperx[119].text 公路基金-國道公路建
transcript.whisperx[120].start 4506.101
transcript.whisperx[120].end 4521.954
transcript.whisperx[120].text 議員議員議員議員
transcript.whisperx[121].start 4523.605
transcript.whisperx[121].end 4536.258
transcript.whisperx[121].text 如果是說委員是真的14到19的話我們是建議就三、五百萬三、五百萬好科目我們自行調整接五百萬交通部部長
transcript.whisperx[122].start 4542.915
transcript.whisperx[122].end 4543.415
transcript.whisperx[122].text 政策宣傳媒體
transcript.whisperx[123].start 4564.482
transcript.whisperx[123].end 4564.522
transcript.whisperx[123].text 委員委員長
transcript.whisperx[124].start 4579.58
transcript.whisperx[124].end 4607.604
transcript.whisperx[124].text 所以我們今天砍完之後你還是增加你知道嗎你還是增加你沒有減少我們已經沒有做到那個說因為確實交通相關的建設需要宣導也沒有說整個整個去把它弄掉不理性嘛我們現在33000萬你比去年還是增加逐步讓我們來看看你這樣的一個宣傳費具體用在什麼成果出來的時候我相信明年一定會比較好好來說明啦
transcript.whisperx[125].start 4607.944
transcript.whisperx[125].end 4608.985
transcript.whisperx[125].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[126].start 4627.392
transcript.whisperx[126].end 4631.834
transcript.whisperx[126].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建
transcript.whisperx[127].start 4652.984
transcript.whisperx[127].end 4679.832
transcript.whisperx[127].text 相關的重大交通政策或是規則要公布的時候都至少要有半年以上的這樣的一個公關行動他們所謂的交通公關行動就是交通的宣導那其實我們本委員會所有的委員一再質疑的就是你們相關的宣傳的效果不彰所以對相關的預算大家就會有相當的質疑
transcript.whisperx[128].start 4680.672
transcript.whisperx[128].end 4694.952
transcript.whisperx[128].text 那必須要提出更明確有效的作為就好像剛才應該是建豪委員所提的或者是明哲、佩翔他們所提的你要必須是要有有效的宣導有效宣導有時候
transcript.whisperx[129].start 4695.913
transcript.whisperx[129].end 4715.23
transcript.whisperx[129].text 議員議員議員議員
transcript.whisperx[130].start 4715.39
transcript.whisperx[130].end 4725.895
transcript.whisperx[130].text 有時候交通委員會很認真的修訂一些交通規則因為交通部的宣導不力效率不彰宣導不夠的時候讓民眾對交通規則一時的改變無所適從
transcript.whisperx[131].start 4732.358
transcript.whisperx[131].end 4734.219
transcript.whisperx[131].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[132].start 4748.063
transcript.whisperx[132].end 4771.749
transcript.whisperx[132].text 議員議員議員議員
transcript.whisperx[133].start 4773.465
transcript.whisperx[133].end 4795.902
transcript.whisperx[133].text 謝謝李昆澤委員的一個建議那在這邊做處理那本席先建議事實上有關交通安全都是每個委員甚至是每個鄉親都非常關注的一個議題尤其對於我們就是我們國內這幾年的那個就是意外死傷的人數竟然比
transcript.whisperx[134].start 4796.442
transcript.whisperx[134].end 4817.176
transcript.whisperx[134].text 議員議員議員議員
transcript.whisperx[135].start 4817.176
transcript.whisperx[135].end 4839.343
transcript.whisperx[135].text 議員議員議員議員
transcript.whisperx[136].start 4839.343
transcript.whisperx[136].end 4861.476
transcript.whisperx[136].text 議員議員議員議員
transcript.whisperx[137].start 4861.996
transcript.whisperx[137].end 4868.639
transcript.whisperx[137].text 公路公路公路公路公路公路公路公路公路公路公路公路公路公路
transcript.whisperx[138].start 4891.229
transcript.whisperx[138].end 4907.42
transcript.whisperx[138].text 您確定您還要說明嗎?我都快不想說你確定你要說明你自己想一想我再補充一點那這個部分我尊重昆哲委員剛剛最後的一個動議那這個部分但是就是針對這個項目這個媒體政策及
transcript.whisperx[139].start 4910.862
transcript.whisperx[139].end 4930.452
transcript.whisperx[139].text 議員議員議員議員議員
transcript.whisperx[140].start 4931.656
transcript.whisperx[140].end 4934.822
transcript.whisperx[140].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[141].start 4944.307
transcript.whisperx[141].end 4967.177
transcript.whisperx[141].text 徐志傑委員有要補充。徐志傑,大家好。我講另外一個案子。那個16案,我看那個調查其實有很多不同的項目事實上是調查不完。所以你們本來編500多萬變成1000萬。那基本上如果有增加調查的項目,對交通有幫助的這個都是好事。
transcript.whisperx[142].start 4968.237
transcript.whisperx[142].end 4983.76
transcript.whisperx[142].text 但是我看你們這個500多萬到1000多萬結果調查的項目好像沒有增加那到底是有增加調查的項目還是沒有那對交通有什麼好的調查方式可以再提供是不是請說明一下
transcript.whisperx[143].start 4985.449
transcript.whisperx[143].end 4999.145
transcript.whisperx[143].text 有關委員提到的這個部分我這邊做個說明那我們這一次增加這一次的那個114年編的那個預算的是這樣的項目是五項那就是上次的部分就是今年度的部分是七項的部分所以從
transcript.whisperx[144].start 5000.246
transcript.whisperx[144].end 5000.507
transcript.whisperx[144].text 規模規模規模
transcript.whisperx[145].start 5015.484
transcript.whisperx[145].end 5042.217
transcript.whisperx[145].text 但是我們今年查的那個就是機車跟自小課機車的自小課的話像一般機車大概有1400多萬的母體然後自小課大概700多萬所以加起來就2000多萬所以它母體規模很龐大比那個計程車大很多所以我們這次增加是因為我們平常會的準決經費調查是輪流辦不可能每年辦所以這次的114的調查規模比113的規模大很多所以預算增加在這裡
transcript.whisperx[146].start 5043.797
transcript.whisperx[146].end 5049.918
transcript.whisperx[146].text 第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建第二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[147].start 5066.443
transcript.whisperx[147].end 5068.344
transcript.whisperx[147].text 法定人數不足
transcript.whisperx[148].start 5085.279
transcript.whisperx[148].end 5086.12
transcript.whisperx[148].text 坤澤說要專案嗎?坤澤說要專案主席
transcript.whisperx[149].start 5099.597
transcript.whisperx[149].end 5125.122
transcript.whisperx[149].text 一千萬確定是這個政策的宣導?政策宣導一千萬,那交通部可以接受。好,那我不堅持。好,那就這樣的一個決議。接下來我們處理二十到二十三案有關稅出通案,大陸地區旅費,編列了三十六萬兩千元。那這邊我們有四個案,那我們是不是請提案委員我們要做補充說明。林沛翔委員,謝謝。
transcript.whisperx[150].start 5127.914
transcript.whisperx[150].end 5143.469
transcript.whisperx[150].text 主席各位同仁剛剛主席講那句話錢多不能亂花這句話我很認同所以我覺得務實的編列預算是很重要的當我們看到第21案的時候其實去大陸地區的旅費雖然只有編列區區的25萬但是相對來講的話第一點
transcript.whisperx[151].start 5148.654
transcript.whisperx[151].end 5165.085
transcript.whisperx[151].text 兩岸現在的關係我們其實大家都心知肚明其實跟大陸之間是沒有什麼好交流的第二點就是說以目前的國際會議來講如果不是第一次的破冰會議或是最後一次的結論會議基本上
transcript.whisperx[152].start 5165.885
transcript.whisperx[152].end 5177.438
transcript.whisperx[152].text 中間的所有會議有關細節的討論都是透過視訊會議的方式來做決定比較多這是目前的我是記得好像是上次跟Google的大中華經理他們談到這個事情
transcript.whisperx[153].start 5180.742
transcript.whisperx[153].end 5205.45
transcript.whisperx[153].text 所以說這邊直接編列的25萬預算我認為說我們有必要去了解交通我們交通委員會有必要了解這筆到大陸的預算我凍結50%是我想了解有什麼樣的業務需要特別編列到大陸的地區旅費編列25萬以上好謝謝林佩祥委員那還有沒有委員要提問要追詢好請問好委員
transcript.whisperx[154].start 5207.997
transcript.whisperx[154].end 5226.41
transcript.whisperx[154].text 本期提的是第20、第23案。目前依照兩案的情勢,雙方的官方交流成效有限,所以認為這兩項的項目沒有辦法發揮成效,所以這邊提簡略。本期想要改動解50%。接下來我們陳雪生委員。
transcript.whisperx[155].start 5235.376
transcript.whisperx[155].end 5259.085
transcript.whisperx[155].text 交通部最近有去大陸訪問嗎?沒有吧?你們交通部有去大陸訪問嗎?或是次團體?沒有嗎?交通部公路局有編他的預算嗎?報告委員這個大陸與費稅有含港澳的地方所以他是大陸跟港澳港澳也不准進去啦他不讓你進去啊你一定要次團體嘛所以這個現在你編的我覺得該誰?
transcript.whisperx[156].start 5261.946
transcript.whisperx[156].end 5284.064
transcript.whisperx[156].text 民進院委員講很道理,工作委員講呢?還是誰?行政委員?保留一先就好了嘛法務委員可以先容我說明一下大概他的用途我跟你講喔,我是很支持交通部去大陸訪問但是你們進不去啊,我支持你們去喔但你們進不去啊,現在兩岸這個樣子
transcript.whisperx[157].start 5285.885
transcript.whisperx[157].end 5310.834
transcript.whisperx[157].text 我那天還跟那個部長我執行的時候講阿你們要找次團體進去嘛我鼓勵你們去阿真的因為要緩和了要緩和了但是你們現在沒辦法阿你保留一千萬嘛到時候融資嘛包委員跟委員報告一下就是說這筆預算主要是海跟空目前其實海運的小三通其實都還在你不要再講了市長是處長會計處長在這裡是
transcript.whisperx[158].start 5313.855
transcript.whisperx[158].end 5318.177
transcript.whisperx[158].text 根委員報告一下根委員報告一下根委員報告一下根委員報告一下根委員報告一下根委員報告一下根委員報告
transcript.whisperx[159].start 5335.566
transcript.whisperx[159].end 5363.001
transcript.whisperx[159].text 那重點是剛剛我們行政司長講了他基本上是海空的兩岸的溝通你們要去的話也是次團體去啦不可能部長或是你們局長、司長去不可能的一定次團體他們現在目前來的也這樣因為現在像兩岸小三通來講的話因為現在金門的航班其實已經不太夠用了所以他目前金門縣政府大概也有提出來希望金門的小三通能夠增班的這個議題這個要靠國民黨去談啦
transcript.whisperx[160].start 5364.842
transcript.whisperx[160].end 5391.51
transcript.whisperx[160].text 對,但這個議題可能還是需要兩邊的就是相關的主管部主要交通啦或是給那個他不可能作業給你民進黨嘛怎麼可能的勒是不是你這預算要不就全刪要不你既然不能留任也不能允許要不然就不要刪是不是建議委員可以用凍結的方式讓我們提書面報告多少錢啊?二十幾萬是不是?三十六萬二而已啊跟去年的規模一樣給他十萬好不好
transcript.whisperx[161].start 5395.181
transcript.whisperx[161].end 5405.825
transcript.whisperx[161].text 因為要用怎麼辦?一般建築及設備雲建工程凍結三天那去凍結用凍結書面報告的方式林委員林沛翔委員有話說嗎?
transcript.whisperx[162].start 5409.079
transcript.whisperx[162].end 5429.521
transcript.whisperx[162].text 我從頭到尾不是要你如果仔細看我是凍結50%我並不是要全部刪除但是我想知道說現在你們去大陸要有什麼樣的目的然後有什麼會有什麼樣的成果我覺得交通委員會必須要務實的知道這一筆預算有什麼樣的功用因此我要求凍結50%加上專案報告以上
transcript.whisperx[163].start 5429.943
transcript.whisperx[163].end 5444.934
transcript.whisperx[163].text 好,那我再請交通部補充說明,就是針對這一個科目的一個執行,去年度的執行狀況大概如何?司司可以說明一下?八位,我這邊是產業國際司,那目前交通部確實是兩岸還有在互動的少數部會之一
transcript.whisperx[164].start 5453.9
transcript.whisperx[164].end 5480.846
transcript.whisperx[164].text 那剛剛海空已經有講了那以今年來看的話那個郵政的部分他們有要求我們兩岸的貨物要透過郵政來互動甚至於專案所以這個他們有提出來像廣東希望小龍這些貨物能夠互通所以目前還在跟北京有談過所以今年有去
transcript.whisperx[165].start 5481.908
transcript.whisperx[165].end 5487.544
transcript.whisperx[165].text 那可能如果抬高到層級的話就部裡面也會去所以希望
transcript.whisperx[166].start 5488.826
transcript.whisperx[166].end 5498.573
transcript.whisperx[166].text 我們希望是說因為經費確實沒有增加啦那有花生我們就會自用我是不是建議是不是能夠改書面報告
transcript.whisperx[167].start 5518.946
transcript.whisperx[167].end 5521.167
transcript.whisperx[167].text 非營業部分關於交通部公路建
transcript.whisperx[168].start 5546.56
transcript.whisperx[168].end 5546.72
transcript.whisperx[168].text 議員主席
transcript.whisperx[169].start 5564.514
transcript.whisperx[169].end 5584.394
transcript.whisperx[169].text 議員議員議員
transcript.whisperx[170].start 5584.554
transcript.whisperx[170].end 5586.355
transcript.whisperx[170].text 議員主席議員主席議員主席
transcript.whisperx[171].start 5610.419
transcript.whisperx[171].end 5630.129
transcript.whisperx[171].text 我們林佩祥委員謝謝都是同樣的理由就是說現在的因為疫情之後我們國際會議的模式已經有改變不管是說是大陸還是去歐洲還是去那個維也納哪裡都一樣
transcript.whisperx[172].start 5631.449
transcript.whisperx[172].end 5647.822
transcript.whisperx[172].text 通常來講以國際商務來講除了剛開始的破冰見面跟談判之外就只有最後面的結尾談判是需要人飛到國外去的中間因為疫情之後所有的細項不是用email來去做資料上面的輸送
transcript.whisperx[173].start 5648.402
transcript.whisperx[173].end 5673.182
transcript.whisperx[173].text 不然就直接做視訊會議那交通部身為天下三大部之一的時候你們的視訊會議的設備應該會比較不錯所以針對這一點我為什麼不管是25案也好25案跟28案都是針對國外旅遊不是國外出差的部分那這點我都會覺得說我們要務實的來看待我們的預算因此我建議說在25案裡面在25案裡面3減35萬元凍結50%加專案報告
transcript.whisperx[174].start 5678.466
transcript.whisperx[174].end 5698.243
transcript.whisperx[174].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非�
transcript.whisperx[175].start 5701.785
transcript.whisperx[175].end 5714.111
transcript.whisperx[175].text 提議7,要求公路局應就相關未提及的方案,領培祥委員提議8,領培祥委員提議9,領培祥委員提議10,領培祥委員提議11,領培祥委員提議12,領培祥委員提議13,領培祥委員提議14,領培祥委員提議15,領培祥委員提議16,領培祥委員提議17,領培祥委員提議18,領培祥委員提議19,領培祥委員提議20,領培祥委員提議21,領培祥委員提議22,領培祥委員提議23,領培祥委員提議24,
transcript.whisperx[176].start 5730.698
transcript.whisperx[176].end 5732.239
transcript.whisperx[176].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[177].start 5758.306
transcript.whisperx[177].end 5763.249
transcript.whisperx[177].text 林倩琦委員出國禮費在24到28中間兩岸這個業務單位有來說明我這邊其實是凍結為什麼凍結呢是第一最主要你們在內容上沒有寫清楚
transcript.whisperx[178].start 5786.761
transcript.whisperx[178].end 5806.734
transcript.whisperx[178].text 好了但是你們說明之後呢我知道你們大概目前規劃的方向那但是在這個二十六案這邊你們規劃的方向是因為現在可能有了道路交通安全的問題那目前應該要去西班牙嗎如果我印象中沒錯對不對
transcript.whisperx[179].start 5807.935
transcript.whisperx[179].end 5808.235
transcript.whisperx[179].text 委員會主席
transcript.whisperx[180].start 5828.335
transcript.whisperx[180].end 5854.344
transcript.whisperx[180].text 我還是希望這個凍結的部分等到你們很確定就是說這個會議跟道安有關的主題已經是確定的而且就如你們所講的這個會有可能會在西班牙然後整個的內容很詳實之後再去做處理如果在那個整個程序時間上可以的話因為這樣相對會比較清楚那你們在講的時候其實有跟你們說過就是當用則用可是該審則審
transcript.whisperx[181].start 5856.305
transcript.whisperx[181].end 5880.674
transcript.whisperx[181].text 議員議員議員議員議員議員
transcript.whisperx[182].start 5881.354
transcript.whisperx[182].end 5904.165
transcript.whisperx[182].text 因為尼德蘭也經常是臺灣效法的一個對象但是我這邊還是要提醒就是說在這個主題上相對比較清楚你們也知道你們究竟要去哪裡第一案是因為今年開案也讓大家有一點不太確定跟質疑第二案相對你們可能可以派的人相對比較足夠不過我這邊呼應一下剛才沛翔委員這邊講的就是說
transcript.whisperx[183].start 5906.246
transcript.whisperx[183].end 5931.662
transcript.whisperx[183].text 實際的國際會議,我們真正的目的是什麼?你是學習的目的呢?那是不是可以透過視訊會更完整、更詳細、更加清楚?如果是一個宣示的話,那你要派多少人?那這個人真正的這個目標,還有他的使命,是不是能夠完成?你請問派一個很清楚的人去把我們需要的connection,或者是我們需要a claim的宣告的東西,把它講清楚。
transcript.whisperx[184].start 5932.402
transcript.whisperx[184].end 5958.977
transcript.whisperx[184].text 與其派很多人結果每個人那個錢又都不夠到最後審這個審那個然後真正要達到的目的跟效益沒有辦法達到然後大家的這個整個出國的這個品質也很糟結果學習上也沒有辦法像相對用視訊或者是在更進一步其他的方式來的細緻因為這不是出國進修所以這個部分應該是會議的主軸是什麼那臺灣的定位在這裡面我們要怎麼被提及
transcript.whisperx[185].start 5959.837
transcript.whisperx[185].end 5977.647
transcript.whisperx[185].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位
transcript.whisperx[186].start 5988.953
transcript.whisperx[186].end 6013.162
transcript.whisperx[186].text 所以我們還是希望事情能夠做得更好,而尊重開支,但是當用則用,該審則審。好,以上,謝謝。好,謝謝。那我們現在就請交通部這邊做一個說明。剛剛林委員所提示的就26項,是說我們明年度會新編一個有關道路安全的會議。那也跟各位委員報告,
transcript.whisperx[187].start 6014.262
transcript.whisperx[187].end 6030.43
transcript.whisperx[187].text 事實上我們這一兩年在推動大安的過程中其實一直要求我們說要跟國際接軌了解國際的一些主要國家他辦理大安的一些相關的一個政策所以我們明年就開始編列有關大安的一個出國的一個
transcript.whisperx[188].start 6030.99
transcript.whisperx[188].end 6059.933
transcript.whisperx[188].text 案子我現在是針對林委員這個部分林委員不是你抱歉我想就是基於這個原因所以我明年就編了這樣一個國際其實剛剛很多委員說是不是用視訊就可以其實目前就了解很多的國際會議事實上已經是沒有視訊可能要到現場去參加最主要是說到現場可以跟相關的國家可以面對面建立一個給溝通的一個管道
transcript.whisperx[189].start 6060.433
transcript.whisperx[189].end 6087.52
transcript.whisperx[189].text 所以這邊也請委員能夠支持畢竟現在道路安全是我們目前國家的重要的施政的一個重點透過參加國外的相關的一個會議的話更可以清楚地掌握到國際尤其是歐洲地區各國在執行道安的一些相關的政策的內容是不是可以建議是凍結十分之一提書面報告後使得動之謝謝
transcript.whisperx[190].start 6090.992
transcript.whisperx[190].end 6091.552
transcript.whisperx[190].text 國際研討會及訓練有需要註冊費?
transcript.whisperx[191].start 6114.747
transcript.whisperx[191].end 6133.482
transcript.whisperx[191].text 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[192].start 6144.858
transcript.whisperx[192].end 6144.958
transcript.whisperx[192].text 主席
transcript.whisperx[193].start 6161.412
transcript.whisperx[193].end 6176.527
transcript.whisperx[193].text 至於其他行政、交通產業發展還有我們固定的要派員到國外去訓練比較長時間的這些都沒有變所以我們是建議最多是凍結不要三結因為規模我們其實是一直在準結一直在準結的滋用那因為特殊有需要
transcript.whisperx[194].start 6176.807
transcript.whisperx[194].end 6177.628
transcript.whisperx[194].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[195].start 6200.061
transcript.whisperx[195].end 6200.541
transcript.whisperx[195].text 出國計劃有確定計劃嗎?
transcript.whisperx[196].start 6226.388
transcript.whisperx[196].end 6226.409
transcript.whisperx[196].text 委員會議員
transcript.whisperx[197].start 6232.876
transcript.whisperx[197].end 6252.662
transcript.whisperx[197].text 是不是我這邊就是建議說我們就是用凍結來處理好不好就是有關出國計劃跟國外旅費的部分那林沛翔委員我說實在話我需要看到專案報告我需要看到專案報告而且我們最好報告清楚一點因為不是只有我一個委員有這樣的疑問凍結50%是我的底線那如果是專案報告的話我們就是凍結50%50%是我的底線
transcript.whisperx[198].start 6262.799
transcript.whisperx[198].end 6289.039
transcript.whisperx[198].text 嗯...可是這樣子的話就是說在新年度如果召委齁沒有馬上排他們可能都沒辦法出國就是他只要遇到有計劃需...其實說真的你們如果說是如果跟我講國際會議這個事情不好意思我在民主基金會任職過我也在港務公司任職過我常常出國我常常出國那我知道有些時候這些報告怎麼樣腐爛運用我很清楚所以拜託拜託拜託不要糊弄我們交通委員會好嗎?
transcript.whisperx[199].start 6298.264
transcript.whisperx[199].end 6312.913
transcript.whisperx[199].text 是說要專案報告,也不知道專案報告什麼時候會排上,有些會議搞不好會在專案報告之前,搞不好最近有幾,可能會有這種情況,是不是建議還是用書面報告?主席我這裡有3.1百萬人,你沒有提?
transcript.whisperx[200].start 6313.837
transcript.whisperx[200].end 6316.879
transcript.whisperx[200].text 出國計劃比去年多了,還能去之前的
transcript.whisperx[201].start 6327.199
transcript.whisperx[201].end 6334.904
transcript.whisperx[201].text 你們錢結算多少?用完了嗎?你結算用完了沒有?結算?你們錢用光了嗎?好了,那配強委員那個50就50吧。
transcript.whisperx[202].start 6350.393
transcript.whisperx[202].end 6366.705
transcript.whisperx[202].text 他凍結...凍結百分之五十...不是啦...比我這個砍一百萬好欸...不不...趙偉...趙偉...人家幾個委員已經說凍結專案報告錢不多如果你們繼續這樣審預算去做說明我可以跟你們講
transcript.whisperx[203].start 6367.466
transcript.whisperx[203].end 6373.61
transcript.whisperx[203].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[204].start 6393.464
transcript.whisperx[204].end 6394.585
transcript.whisperx[204].text 法定人數不足
transcript.whisperx[205].start 6412.818
transcript.whisperx[205].end 6412.878
transcript.whisperx[205].text 委員會主席
transcript.whisperx[206].start 6425.902
transcript.whisperx[206].end 6432.486
transcript.whisperx[206].text 二、繼續審查114年度中央政府總預算案關於交通部單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[207].start 6453.021
transcript.whisperx[207].end 6466.348
transcript.whisperx[207].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[208].start 6479.364
transcript.whisperx[208].end 6503.765
transcript.whisperx[208].text 七位委員,七個提案。那我們請提案委員做說明。首先請翁曉琳委員。是。翁曉琳委員。好,謝謝主席。我們知道其實現在政府財政負擔過大,然後交通部的媒體宣傳經費卻是逐年增加。那麼交通部114年其實憋了一億多的媒體宣傳費。
transcript.whisperx[209].start 6505.066
transcript.whisperx[209].end 6509.668
transcript.whisperx[209].text 比113年還多增加了6千多萬6千7百多萬比113年多增加了3646萬本席認為說交通部在這裡邊的媒體宣傳費用過高而且這個宣傳
transcript.whisperx[210].start 6528.677
transcript.whisperx[210].end 6552.807
transcript.whisperx[210].text 議員議員議員議員議員
transcript.whisperx[211].start 6554.408
transcript.whisperx[211].end 6556.049
transcript.whisperx[211].text 道安經費今年編列6億元媒體宣傳費只有4,725萬
transcript.whisperx[212].start 6582.307
transcript.whisperx[212].end 6603.392
transcript.whisperx[212].text 約佔比7.8%這是今年的狀況那明年呢一樣是到案的預算結果你到案整體掃編哦就是本來從6月以後明年降到5億剩下5億之後其中的媒體經費是宣傳經費高達1億50萬元佔比達到百分之...將近百分之二十所以我想這個比例原則很奇怪啊就是說
transcript.whisperx[213].start 6604.292
transcript.whisperx[213].end 6628.576
transcript.whisperx[213].text 道安經費我們希望說你能夠把更多的經費拿去做實質的路口可能改善也好或是各項的這種工程面也好那結果你在宣傳經費上突然整體經費下降的情況下面你的宣傳經費還增加這麼多錢還增加了一倍那一倍裡面呢有來說明沒錯說新增一些高齡者的安全用路的用路這些的資能啊然後增強機車駕駛的風險宣傳等等的那第一個
transcript.whisperx[214].start 6631.557
transcript.whisperx[214].end 6632.778
transcript.whisperx[214].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[215].start 6649.272
transcript.whisperx[215].end 6677.371
transcript.whisperx[215].text 一百五千萬在做什麼?你本來五千萬裡面難道就沒有要去幫助高齡者來增加他的安全用戶資能嗎?本來就沒有要去強調機車嗎?所以本來在做什麼?那為什麼突然要增加這五千萬而且你是在整體的道安經費減少的情況下去把宣傳經費增加所以我想這個是比較說不過去也不太合理所以我才提三、五千萬三、五千萬其實講白了你還是其實從整體來講你還是增加的因為跟去年來比你還是增加的而且會影響你本來的業務以上謝謝
transcript.whisperx[216].start 6679.572
transcript.whisperx[216].end 6680.133
transcript.whisperx[216].text 黃建豪議員林倩琦議員
transcript.whisperx[217].start 6701.264
transcript.whisperx[217].end 6701.424
transcript.whisperx[217].text 委員會主席
transcript.whisperx[218].start 6720.384
transcript.whisperx[218].end 6739.104
transcript.whisperx[218].text 議員議員議員議員
transcript.whisperx[219].start 6739.484
transcript.whisperx[219].end 6766.887
transcript.whisperx[219].text 這個招標上你們雖然採公開招標但是呢限制性招標的方式那麼高難道這些東西就只能是這樣做嗎只有幾個媒體可以這樣子做嗎所以這點是讓人家有一點疑鬥啦那所以我是希望交通部這個部分能夠在未來也應該要做一個改善那我們再回到剛才我們講的這個效度所以
transcript.whisperx[220].start 6768.548
transcript.whisperx[220].end 6791.235
transcript.whisperx[220].text 據我所知你們應該這個拍影片然後針對什麼你們說的增加的部分是針對高齡族群還有一些行人安全但是基本上形式跟網絡是差不多的就是你們網絡平台看起來都是跟過往是差不多的只是族群上有一些調整
transcript.whisperx[221].start 6791.835
transcript.whisperx[221].end 6792.795
transcript.whisperx[221].text 委員會主席委員會主席
transcript.whisperx[222].start 6819.201
transcript.whisperx[222].end 6848.257
transcript.whisperx[222].text 所以我覺得這個整個你們想要增加的族群跟原先的結構差異沒有那麼大所以這是我提出來最主要的一個原因當然你們這部分有做一些說明但是在整體來講這個限制性招標的招標方式跟你們原先平台結構上的調整似乎在今年多變的部分有比較讓人有一些疑鬥跟問題所以這邊是我提出來
transcript.whisperx[223].start 6848.977
transcript.whisperx[223].end 6851.658
transcript.whisperx[223].text 媒體政策增加3600萬交通運輸規劃增加5326萬交通運輸規劃及產業發展增加1倍以上
transcript.whisperx[224].start 6876.983
transcript.whisperx[224].end 6881.962
transcript.whisperx[224].text 你們在去年的預算3億多的宣傳費現在增加了1億多
transcript.whisperx[225].start 6883.655
transcript.whisperx[225].end 6909.584
transcript.whisperx[225].text 增加一億多這是幹什麼用還有你們的決算是怎麼樣請你們說明一下齁你們決算是怎麼樣說明一下為什麼以前的宣傳叫今年度啦就是明年的預算嘛齁你叫今年度要增加一億多所以我們委員才會砍什麼五千萬、六千萬、五千萬的齁才會有這樣一個砍法
transcript.whisperx[226].start 6910.524
transcript.whisperx[226].end 6926.264
transcript.whisperx[226].text 第二項,剛才區議員也講了你們用限制性招標還是公開招標?要不要是不是最低價得標?還有你能不能說明最近這三年是不是都是用同一家媒體得標?
transcript.whisperx[227].start 6929.428
transcript.whisperx[227].end 6950.185
transcript.whisperx[227].text 這裡面會有鬧鬼喔所以部長請你尤其要注意當然大家依法行政嘛公開招標有的就跟鐵路裡面一樣啦什麼區段啊都是他全台灣省各段都是這樣都是同一家他媽奇怪他祖宗有德啊還是遺傳的
transcript.whisperx[228].start 6951.366
transcript.whisperx[228].end 6964.84
transcript.whisperx[228].text 沒這個道理嘛,那個戴阿姨也不去看一看怎麼回事?都是同一家媒體招標,飆到了這就有問題了好不好?我想你們會議處也好,你們有陣風嘛你們針對這方面你們要說明一下好不好?謝謝啦齁
transcript.whisperx[229].start 6966.612
transcript.whisperx[229].end 6966.872
transcript.whisperx[229].text 議員提案資料
transcript.whisperx[230].start 6984.138
transcript.whisperx[230].end 7007.244
transcript.whisperx[230].text 議員議員議員議員議員
transcript.whisperx[231].start 7007.398
transcript.whisperx[231].end 7025.401
transcript.whisperx[231].text 議員議員
transcript.whisperx[232].start 7025.701
transcript.whisperx[232].end 7043.346
transcript.whisperx[232].text 幹什麼要用那麼多的宣傳經費宣傳經費其實就是道安為了道安的我們有道安老人公路局的你就回歸公路局去嘛你把公路局放進來幹什麼那個有編那個有編過去所以我們這邊看起來我們部裡面的預算你這裡多了欸你多了1億多出來的沒有
transcript.whisperx[233].start 7045.086
transcript.whisperx[233].end 7061.47
transcript.whisperx[233].text 怎麼會沒有勒?政令宣導沒有多那麼多只剩下3600而已啊不只不只欸你講的是29案喔我連30案都幫你講進去了喔30案勒你31到34勒你30案是不是增加5000多29增加3600嘛
transcript.whisperx[234].start 7073.931
transcript.whisperx[234].end 7093.06
transcript.whisperx[234].text 那你31到34增加一倍,你幹嘛要增加那麼,有那麼龐大的業務嗎?你道安編到道安區吧,你就寫道安嗎?十二、私通安全業務、暖鞋、十八、結愛、秋肉包等
transcript.whisperx[235].start 7096.581
transcript.whisperx[235].end 7115.847
transcript.whisperx[235].text 我問你你如果是道安的話今年也是道安啊明年也是道安後年也是道安啊你現在跟我扯道安幹什麼你這個道安就在這裡面啊你道安已經就在這裡面你今年度就在這個裡面啊我可以送明細資料給你道安就在這裡面啊跟各位委員報告為什麼今年道安會提高比較多因為大家都知道我們在
transcript.whisperx[236].start 7116.287
transcript.whisperx[236].end 7143.047
transcript.whisperx[236].text 硬體建設的部分其實為了道安我們增加很多的預算但是要完成道路安全除了硬體建設之外其實用路人的觀念非常的重要所以我們今年特別用多一些的預算在用路人的觀念上面去做宣導這是一方面那另外一方面就是說我們剛有提到我們今年會比較針對老人家跟幼兒那我們有研究過就是說過去交通部比較沒有針對電視媒體去投放廣告那我們一些老人家他們不太看手機
transcript.whisperx[237].start 7143.888
transcript.whisperx[237].end 7156.781
transcript.whisperx[237].text 所以我們今天會用一些在電視廣告的部分希望老人家能夠看到我們一些道安上面的宣導跟宣傳所以在這個部分我們在今年度的...老人家反而很尊重法律喔我知道他們尊重法律所以他們要...你倒是年輕人啊
transcript.whisperx[238].start 7161.086
transcript.whisperx[238].end 7174.496
transcript.whisperx[238].text 一邊在那邊打手機一邊在談戀愛一邊打播什麼話網路上面的宣導也都有啦但是對於老人家尤其滑手機最嚴重因為我們在數據上面看起來其實老人家在我們要等兩個紅燈才過得了勒都在等行人勒哪有這樣子走的
transcript.whisperx[239].start 7182.085
transcript.whisperx[239].end 7206.493
transcript.whisperx[239].text 所以跟各位委員報告道安在明年度的重點我們會希望說在道路安全教育跟宣導的部分你這樣講是可以,而不是處長那樣講的什麼道安,道安放在裡面道安以前沒有放在裡面嗎?除了硬體面之外你去年前年大前年也都放在裡面啊對教育面也很重要那教育面我們就會放在這個媒體上面的宣導的部分太多了太多了這個你們自己看看斟酌要剪掉
transcript.whisperx[240].start 7208.254
transcript.whisperx[240].end 7224.364
transcript.whisperx[240].text 好不好,我是很討厭你們的,我是很討厭你們的。剛剛已經有減一千萬了啦,已經有減一千萬了。怎麼減一千萬?你說二十九嗎?十四案的時候,道安的部分已經指定減一千萬了啦。不是這樣減,不是這樣減,你要總的來算,你要總的來算,你不能說道安的,你要總的來算。
transcript.whisperx[241].start 7231.118
transcript.whisperx[241].end 7256.371
transcript.whisperx[241].text 我把所有的東西都講老人的宣傳你們預算書裡面喔柏定我提醒你們你們自己都講不清楚你們老人的宣導部分只有1200萬所以齁你不要動這欸所有委員都都是硬頭啊所以1200萬所以你們不要推到這裡來所以重新再收
transcript.whisperx[242].start 7257.435
transcript.whisperx[242].end 7257.635
transcript.whisperx[242].text 黃建豪委員
transcript.whisperx[243].start 7276.241
transcript.whisperx[243].end 7301.45
transcript.whisperx[243].text 去年今年的4725萬你要增加到1億破億齁那來說明的理由就剛剛提到的國城委員提到了嘛你們來說明說這個高齡者的安全用路你們只有增加1200萬就裡面是1200萬是高齡使用者然後在機車駕駛1000萬然後這個車輛停讓行人用路安全慣例1675萬兒少懸導費1400萬然後其他的增加安全入口網站社群媒體行銷50萬
transcript.whisperx[244].start 7303.571
transcript.whisperx[244].end 7322.932
transcript.whisperx[244].text 請問現在你編了4725那做什麼事情?你是這4725做不到這件事情嗎?還是說過去等於說你承認說過去交通部對於剛剛提到的上述這是什麼老人的也好整治行程安全也好都沒有宣傳那請問那過去4725花哪去?
transcript.whisperx[245].start 7324.514
transcript.whisperx[245].end 7327.056
transcript.whisperx[245].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部總預算案附屬單位預算
transcript.whisperx[246].start 7342.347
transcript.whisperx[246].end 7342.687
transcript.whisperx[246].text 主席魯明哲委員
transcript.whisperx[247].start 7368.097
transcript.whisperx[247].end 7394.599
transcript.whisperx[247].text 議員議員議員議員
transcript.whisperx[248].start 7394.759
transcript.whisperx[248].end 7418.833
transcript.whisperx[248].text 三百六十萬,六千,大概這是總數啦那其他向下有時候不一啦跟各位委員來做一個報告那當然我是跟交通部真的是要見一下啦因為我們預算中心事實上寫了通案整個行政院針對政策宣導跟沒宣費這個一些通案的問題其中我覺得兩個最重要
transcript.whisperx[249].start 7419.633
transcript.whisperx[249].end 7420.214
transcript.whisperx[249].text 委員會主席委員會主席
transcript.whisperx[250].start 7436.032
transcript.whisperx[250].end 7454.053
transcript.whisperx[250].text 議員議員議員
transcript.whisperx[251].start 7454.193
transcript.whisperx[251].end 7454.373
transcript.whisperx[251].text 委員會主席
transcript.whisperx[252].start 7472.748
transcript.whisperx[252].end 7472.908
transcript.whisperx[252].text 委員會主席
transcript.whisperx[253].start 7492.483
transcript.whisperx[253].end 7518.575
transcript.whisperx[253].text 議員議員議員議員議員議員
transcript.whisperx[254].start 7519.035
transcript.whisperx[254].end 7543.206
transcript.whisperx[254].text 請各位委員我們大家集中討論就是剛剛已經刪了一千萬那針對一億多的預算我們還要追加、刪減多少?以上好,謝謝李明哲找到你的說明好,李鑽澤委員我先簡單跟大家說明一下我們剛才刪了這個一般事務會裡面就有相關這個項目是一千萬
transcript.whisperx[255].start 7544.486
transcript.whisperx[255].end 7572.535
transcript.whisperx[255].text 那這個是屬於一級的類別啦那我們現在討論的是媒體政策及業務宣導會我看有很多的我們的委員提案說要三、五千我要提醒大家這是屬於三級的三級的其實就是媒體政策及業務宣導會是包含在一般事務會裡面啦所以這個要先跟大家來說明然後另外對於台灣的交通
transcript.whisperx[256].start 7573.735
transcript.whisperx[256].end 7597.316
transcript.whisperx[256].text 的意外事故造成嚴重的傷亡這是國人最關注的一個議題所以在過去這段時間交通委員會嚴厲的要求交通部針對交通的改善工程交通規則的一個補全以及相關交通安全文化的一個重新的推廣
transcript.whisperx[257].start 7598.377
transcript.whisperx[257].end 7621.732
transcript.whisperx[257].text 以及相關對交通耗資標線等等提出重要的一個檢視以及重新的規劃。這一些包括改善的工程、交通文化的推廣以及相關安全標線耗資的一個改善都是必須向民眾做正確有效而且
transcript.whisperx[258].start 7622.592
transcript.whisperx[258].end 7623.173
transcript.whisperx[258].text 委員會主席委員會主席
transcript.whisperx[259].start 7639.189
transcript.whisperx[259].end 7656.032
transcript.whisperx[259].text 議員議員議員
transcript.whisperx[260].start 7656.152
transcript.whisperx[260].end 7677.635
transcript.whisperx[260].text 重要方向是什麼具體內容是什麼那我再一次向大家說明剛才我們已經在一般事務會已經刪了一千人然後現在討論媒體政策及業務宣導會其實就是包含在一般事務會裡面以上向大家說明以上接下來翁曉琳委員
transcript.whisperx[261].start 7678.736
transcript.whisperx[261].end 7679.056
transcript.whisperx[261].text 委員會主席
transcript.whisperx[262].start 7698.643
transcript.whisperx[262].end 7713.456
transcript.whisperx[262].text 議員議員議員
transcript.whisperx[263].start 7714.758
transcript.whisperx[263].end 7734.646
transcript.whisperx[263].text 那就代表之前做的都沒有成效那整個在你們的媒體業務宣導的政策規劃方向都沒有進行檢討然後做一些沒有效果沒有意義的宣導那麼浪費人民的納稅錢所以本席認為說你們應該要重新檢討你們現在去做媒體業務宣導的
transcript.whisperx[264].start 7742.109
transcript.whisperx[264].end 7766.08
transcript.whisperx[264].text 規劃同時就像剛剛盧委員所說的KPI很重要到底他的這個點閱率或是收視率他成效如何就要很清楚的列出來實在是沒有必要花一億多的經費然後再去做這沒宣更何況沒宣的經費我記得是另外邊列的這個一般業務份應該是分開來的
transcript.whisperx[265].start 7768.993
transcript.whisperx[265].end 7786.152
transcript.whisperx[265].text 所以本期這邊還是認為說要至少刪減一半我們這邊還比較客氣就刪減了五千萬但這部分的話是也希望就大家委員能夠堅持我們看看這個錢少一點他們會不會做得更好
transcript.whisperx[266].start 7787.331
transcript.whisperx[266].end 7813.196
transcript.whisperx[266].text 並致力有效降低資安投資。好,那說明完畢齁,那陳雪森委員。剛才坤德委員齁,已經講了。道安會不會有一千萬嘛,對不對?那少砍一千萬嘛。就少砍一千萬嘛,這我們接受啊,對不對?但你今年,你明年的預算比今年要多出快一億耶。這個,那多出多少?多出五千喔?
transcript.whisperx[267].start 7815.871
transcript.whisperx[267].end 7841.854
transcript.whisperx[267].text 五千已經刪一千了市長算過了是不是?確定?對你不講一千嗎?五三是多少?三五千耶,三五千萬三一千一千扣掉嘛,扣掉三四千就好啦部長你自己講三幾塊,你自己講
transcript.whisperx[268].start 7842.93
transcript.whisperx[268].end 7868.436
transcript.whisperx[268].text 若沒有其他委員有其他的問題,我們是不是針對剛剛委員的意見,我們請交通部再做詳細的說明好不好?等一下,還有我很在意的齁,你們把這最近三年是哪些廠商得標的,誰負責請舉手?請舉手,你們齁,沒關係。你做個報告給我們,交通部委員會,我要。好不好,你寫個報告給我齁,三年是不是同樣的廠商得標,我很在意這個。
transcript.whisperx[269].start 7872.797
transcript.whisperx[269].end 7873.798
transcript.whisperx[269].text 公路安全費用5億1700萬元
transcript.whisperx[270].start 7890.267
transcript.whisperx[270].end 7892.769
transcript.whisperx[270].text 一、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[271].start 7911.064
transcript.whisperx[271].end 7911.344
transcript.whisperx[271].text 國道公路建
transcript.whisperx[272].start 7926.101
transcript.whisperx[272].end 7948.041
transcript.whisperx[272].text 事故最大的主因還是來自於我們用路人他的駕駛行為不當所造成的所以我們希望透過教育宣導來看看是不是可以引導我們用路人來有個正確的駕駛行為駕駛行為來塑造一個良好的道路安全的文化而且這個東西是需要日積月累花時間經費去
transcript.whisperx[273].start 7951.144
transcript.whisperx[273].end 7952.144
transcript.whisperx[273].text bicyclist 高齡者公務員委員會委員長
transcript.whisperx[274].start 7972.731
transcript.whisperx[274].end 7989.599
transcript.whisperx[274].text 其實我們初步的了解是說我們高齡者目前接觸到的媒體主要還是來自於電視跟廣播所以我們之前在媒體上我們也有做廣播但是發現說它可能數量不夠所以我們明年要希望能夠增加這個電視的檔次
transcript.whisperx[275].start 7992.02
transcript.whisperx[275].end 8019.379
transcript.whisperx[275].text 那大家很關心說我們是不是有集中在某一個車裡面也先跟各位委員報告基本上交通部在採購的時候是限制性招標下的公開評審準用最有利標也就是說我們會把相關的招標文件公告以後有興趣投標的這些業者他會來投標那我們會成立評審委員會來做一個公平公正的一個評審委員會
transcript.whisperx[276].start 8020.64
transcript.whisperx[276].end 8030.607
transcript.whisperx[276].text 你不要用有利標好不好,你用公開招標,可以嗎?公開評選就是有點類似公開招標的意思啦。不一樣啦,我當過縣市長啦,我知道啦。
transcript.whisperx[277].start 8035.854
transcript.whisperx[277].end 8053.979
transcript.whisperx[277].text 有利標你們說誰大概就是誰了啦因為通常公開交標就是用最低價格標啦有利標裡面有價格的問題在裡面價格只是其中分數之一啦所以占比而已啦我希望你們通通用價格標也可以用公開交標也可以
transcript.whisperx[278].start 8056.16
transcript.whisperx[278].end 8077.511
transcript.whisperx[278].text 其實跟各位報其實在我們的公開評選裡面價格就是其中一個項目我們希望說是整體性的考量價格在5%嘛你其中一個項目但是我們還是希望考慮說其他的因素啦我想我們是透過委員會而且這個也是有專家寫者來組成的專家寫者喔對那才好笑咧
transcript.whisperx[279].start 8079.794
transcript.whisperx[279].end 8092.014
transcript.whisperx[279].text 專制學者不聽你們的才有鬼我跟你講你問我最清楚的啦我跟你講啦你問價格標有什麼關係你公開抓標嘛你公開抓標有什麼困難我請問你
transcript.whisperx[280].start 8093.43
transcript.whisperx[280].end 8120.175
transcript.whisperx[280].text 我是說裡面有鬼你懂了沒有我幫你抓鬼欸搞不好你們裡面萬一出了什麼事怎麼辦你還負責部長都要負責我想剛剛委員只是我們說要提書面報告不是書面報告的事我們是把這幾年我們到底是哪些業者來投標的資料我們會寫成書面報告提供給委員做參考其實預算的參檢我還不是很堅持我只是決定你們這個沒提完
transcript.whisperx[281].start 8121.615
transcript.whisperx[281].end 8128.981
transcript.whisperx[281].text 政府的採購法都有一定的規範公部門在做招標的時候一定都是遵守這樣的規則他們只要符合法令
transcript.whisperx[282].start 8146.834
transcript.whisperx[282].end 8169.172
transcript.whisperx[282].text 議員議員議員議員
transcript.whisperx[283].start 8169.392
transcript.whisperx[283].end 8175.154
transcript.whisperx[283].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[284].start 8191.301
transcript.whisperx[284].end 8194.343
transcript.whisperx[284].text 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建
transcript.whisperx[285].start 8218.136
transcript.whisperx[285].end 8229.48
transcript.whisperx[285].text 三、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建
transcript.whisperx[286].start 8240.458
transcript.whisperx[286].end 8262.84
transcript.whisperx[286].text 因為這次多出來的預算是差不多六千萬那凍結三十趴是因為之前的其實如果說一直說是行人安全啊、宣導其實沒有那麼有利但是大家我們尊重主席也尊重我們委員會的和諧所以我這邊退而求其次我是希望說我們在三十四案三十一案到三十四案的話是尊重魯明哲委員提案三減三千萬凍結十趴在這個部分剛剛已經處理了
transcript.whisperx[287].start 8267.081
transcript.whisperx[287].end 8269.182
transcript.whisperx[287].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[288].start 8284.65
transcript.whisperx[288].end 8311.084
transcript.whisperx[288].text 議員議員議員議員議員
transcript.whisperx[289].start 8311.404
transcript.whisperx[289].end 8319.23
transcript.whisperx[289].text 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建
transcript.whisperx[290].start 8342.045
transcript.whisperx[290].end 8361.484
transcript.whisperx[290].text 明年的預算只有增加五千三百二十五萬,對啦,所以不是什麼一億多都講不清楚啦,如果照委員對這個預算有質疑,我們給他砍一半好不好,五千三百多砍一半兩千五,那你剛剛已經砍掉一千了嘛
transcript.whisperx[291].start 8363.907
transcript.whisperx[291].end 8387.467
transcript.whisperx[291].text 我覺得再三一千萬應該是可以接受啦那你這樣等於要砍掉一半了吧我來講比較快啦三一千五百萬啦好不好如果在聊會砍到兩千萬到三千萬副黨砍一千五百萬啦比較快啦
transcript.whisperx[292].start 8388.007
transcript.whisperx[292].end 8403.234
transcript.whisperx[292].text 一千啦一千啦你讓人家做看看不是他沒提他這個錢增加了三四千萬欸增加五千三百二十五萬五千多萬我們把道安的一千萬算掉增加四千萬謝謝趙偉
transcript.whisperx[293].start 8405.435
transcript.whisperx[293].end 8427.493
transcript.whisperx[293].text 我是請求各位委員在深思熟慮因為我們在去年跟今年都有交通法規上的一些很大的變革有很多新的修法過後的法令民眾事實上都還半知不解有的甚至還不知道所以我覺得宣導這件事情
transcript.whisperx[294].start 8428.954
transcript.whisperx[294].end 8453.346
transcript.whisperx[294].text 正確的宣導正確的這個交通規則很重要給予正確的資訊還有形塑正確的而且讓人民遵守的一個交通規則甚至是法規制度的文化而且這個文化還必須要內化成在生活習慣上能夠自然而然的遵守
transcript.whisperx[295].start 8453.746
transcript.whisperx[295].end 8482.073
transcript.whisperx[295].text 議員議員議員議員議員
transcript.whisperx[296].start 8482.073
transcript.whisperx[296].end 8500.094
transcript.whisperx[296].text 議員議員議員議員
transcript.whisperx[297].start 8500.094
transcript.whisperx[297].end 8515.299
transcript.whisperx[297].text 議員議員議員議員議員
transcript.whisperx[298].start 8515.299
transcript.whisperx[298].end 8532.176
transcript.whisperx[298].text 議員議員議員議員
transcript.whisperx[299].start 8532.296
transcript.whisperx[299].end 8549.031
transcript.whisperx[299].text 我舉個例子啦光是一個人行道我們現行為了行人的交通安全各大城市各地都在施行人行道的更新跟改建很多人不知道不了解為什麼人行道要做那麼寬為什麼人行道為了行人安全要做庇護島為什麼我們那個直角那個圓圈要畫那麼大
transcript.whisperx[300].start 8557.278
transcript.whisperx[300].end 8576.476
transcript.whisperx[300].text 議員議員議員議員
transcript.whisperx[301].start 8576.676
transcript.whisperx[301].end 8596.766
transcript.whisperx[301].text 交通部他們執行的成效講得不夠好或者是不精準或者是沒有辦法說服我們我們就以後繼續強力的要求甚至KPI還有後續的報告我們甚至可以要求他們來仔細說清楚但是預算是不是拙減就好啦塞一千萬啦好不好謝謝
transcript.whisperx[302].start 8600.928
transcript.whisperx[302].end 8622.513
transcript.whisperx[302].text 提出一個建議啦那個部長你這裡也不要堅持說1500其實1500啊國民黨黨團這裡啊已經非常放鬆但是我建議啦我建議你送到沒有共識送到黨團去協商會更慘啦所以我建議我建議我建議啦是不是大家折衷一下
transcript.whisperx[303].start 8623.649
transcript.whisperx[303].end 8635.368
transcript.whisperx[303].text 一千兩百萬啊不要再講了你們再講的話毛環了好啦一千兩百萬算是有單數欸等一下好那就不要再講了我們就你這個要公開投票嗎
transcript.whisperx[304].start 8637.018
transcript.whisperx[304].end 8660.211
transcript.whisperx[304].text 公開招標就是按照採購法就是要的啊我跟妳講啦招會長的依法行政都是依法行政被抓到大海局去那個才是違法的啦不是啊不是啊採購法一定是公開招標啦不是啊 顧慮的就公開招標他是價值標啦你們不要用評審標評審標我跟你講作弊就比較容易啦所以既然這樣就我是
transcript.whisperx[305].start 8660.691
transcript.whisperx[305].end 8662.992
transcript.whisperx[305].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[306].start 8686.235
transcript.whisperx[306].end 8688.378
transcript.whisperx[306].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[307].start 8701.372
transcript.whisperx[307].end 8701.972
transcript.whisperx[307].text 會砍更嚴重
transcript.whisperx[308].start 8727.465
transcript.whisperx[308].end 8727.486
transcript.whisperx[308].text 謝謝啦 謝謝 謝謝 謝謝
transcript.whisperx[309].start 8750.17
transcript.whisperx[309].end 8756.882
transcript.whisperx[309].text 除非就是要辦就是評選最低價先做評選然後再做最低價這是可以考慮的但是要他們自己去考慮
transcript.whisperx[310].start 9317.465
transcript.whisperx[310].end 9331.994
transcript.whisperx[310].text 現在繼續開會在開會之前本席先做以下宣告那等一下中午我們在交通部本部的預算案處理完畢之後休息半個小時用餐所以請接下來的單位先去用餐
transcript.whisperx[311].start 9334.756
transcript.whisperx[311].end 9353.884
transcript.whisperx[311].text 我們就是等一下在本部的預算案處理結束之後才休息半個小時用餐做了以下宣告好那我們現在繼續處理預算提案36至42案有關交通科技研究發展這個科目預算數是1651萬2000元好那我們現在是不是請提案的委員有沒有要做這個提問的徐副國委員謝謝
transcript.whisperx[312].start 9365.776
transcript.whisperx[312].end 9392.158
transcript.whisperx[312].text 謝謝主席本期提出第38案那交通部在這個辦理所謂的一個交通領域的一個關鍵基礎設施的資安準備計畫裡面那本期目前掌握到的資料截至到今年8月這個針對這個交通部應該取得資安職能課程證書的人有680個但實際上取得證照的人只有318位還沒有過半
transcript.whisperx[313].start 9394.139
transcript.whisperx[313].end 9422.514
transcript.whisperx[313].text 那交通部在這一年裡面也沒有去盤點這個應該取得相關證照的人數的基本數據那本席要求的是先凍結100萬那要求交通部針對這樣子的一個主管機關應該適用人員的持續取證的部分應該要加強一個資安的管控確保我們交通運輸的一個穩定運作謝謝好謝謝徐副委員接下來邀請林國成委員那林國成委員之後請林俊憲委員謝謝
transcript.whisperx[314].start 9424.555
transcript.whisperx[314].end 9449.105
transcript.whisperx[314].text 本席提的是39案跟40案39案的部分因為我主張檢列200萬但是在這個部分為什麼要檢列第一個過去成績真的是不佳提供出來的說明根本無法接受但是在這個部分也請再度說明一下
transcript.whisperx[315].start 9449.965
transcript.whisperx[315].end 9470.211
transcript.whisperx[315].text 第四,事實案的部分雖然有說明,但是我是覺得可以簡略的部分因為它說明我們就較為清楚可以來改為凍結的部分來處理以上報告
transcript.whisperx[316].start 9471.616
transcript.whisperx[316].end 9473.378
transcript.whisperx[316].text 主席,本席提第37案,是我們交通科技研究發展的經費。
transcript.whisperx[317].start 9486.738
transcript.whisperx[317].end 9502.766
transcript.whisperx[317].text 那其實我要提的是因為我們在2023年就去年修訂這個交通懲罰條例把那個嚴重超速規範原本是超速60公里算是嚴重超速66
transcript.whisperx[318].start 9503.806
transcript.whisperx[318].end 9531.675
transcript.whisperx[318].text 去2023年把它改為超速40公里就算嚴重超速這麼一改嚴重超速案件增加4倍那嚴重超速要怎麼樣要吊車牌車牌要拔掉所以造成我覺得這個是連動的你被吊過車牌的人成長4倍造成未照車牌的那個數量成長6倍
transcript.whisperx[319].start 9533.933
transcript.whisperx[319].end 9534.113
transcript.whisperx[319].text 委員會專案報告討論
transcript.whisperx[320].start 9552.174
transcript.whisperx[320].end 9552.455
transcript.whisperx[320].text 委員會主席
transcript.whisperx[321].start 9573.995
transcript.whisperx[321].end 9585.102
transcript.whisperx[321].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建
transcript.whisperx[322].start 9598.71
transcript.whisperx[322].end 9609.288
transcript.whisperx[322].text 本期提案凍結預算10%,請交通部就這個事情如何處理。三個月內提一個報告,只能動輒。謝謝。好,謝謝林居憲委。接下來請魯明哲召委。
transcript.whisperx[323].start 9611.493
transcript.whisperx[323].end 9611.753
transcript.whisperx[323].text 委員會主席
transcript.whisperx[324].start 9632.654
transcript.whisperx[324].end 9657.21
transcript.whisperx[324].text 議員議員議員
transcript.whisperx[325].start 9657.33
transcript.whisperx[325].end 9658.43
transcript.whisperx[325].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[326].start 9682.158
transcript.whisperx[326].end 9682.739
transcript.whisperx[326].text 主席主席
transcript.whisperx[327].start 9712.078
transcript.whisperx[327].end 9712.619
transcript.whisperx[327].text 委員會主席
transcript.whisperx[328].start 9731.561
transcript.whisperx[328].end 9751.988
transcript.whisperx[328].text 議員議員議員議員議員議員議員議員議員
transcript.whisperx[329].start 9752.168
transcript.whisperx[329].end 9754.17
transcript.whisperx[329].text 在上個月11月為止工業控制司安概論取證提高352人累計401人
transcript.whisperx[330].start 9768.079
transcript.whisperx[330].end 9770.221
transcript.whisperx[330].text 三、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[331].start 9785.794
transcript.whisperx[331].end 9786.815
transcript.whisperx[331].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[332].start 9803.887
transcript.whisperx[332].end 9827.049
transcript.whisperx[332].text 人工智慧基本AI的基本法的法制作業來協定我們部裡面在參照速發部的AI風險分類框架之後我們部裡面要訂AI的風險的分類指引等等這一塊提供部署機關也要幫忙部署機關做人才培育這是第39話也懇請委員支持那在第40案的部分
transcript.whisperx[333].start 9831.083
transcript.whisperx[333].end 9851.06
transcript.whisperx[333].text 跟各位委員報告也包括剛盧委員所提點的對於114年到117年事實上我們是根據國家資通安全發展方案那明年開始確實到了第7期這是新的計畫可能沒有寫清楚到時候跟盧委員報告這個會再補充更清楚一點這個計畫延續前面
transcript.whisperx[334].start 9853.502
transcript.whisperx[334].end 9878.4
transcript.whisperx[334].text 的110到113年的第6期的方案我們要做的工作非常重要而且必須持續包括資安的情資的分享還有資安的通報以及應變還有資安的這個監控等等另外我們也要做關鍵基礎設施像一些軌道系統等等他的這些關鍵基礎設施他的攻防演練而且每年會辦理所謂的必須辦資安的集合
transcript.whisperx[335].start 9878.84
transcript.whisperx[335].end 9892.489
transcript.whisperx[335].text 那才能夠跨部會的來維持資安聯防這件事情那第41案就是剛剛說的這一塊那也跟盧昭偉先生報告事實上您剛剛說這個計畫可能我們在報告裡面要說清楚一點
transcript.whisperx[336].start 9902.376
transcript.whisperx[336].end 9918.041
transcript.whisperx[336].text 這個其實跟經濟部這個大概沒有關係就是只有交通部不好意思不好意思這個可能再跟您做報告那我們陳昭偉這邊當您提點的我在前面大概也有說明過就是取證的這一塊大概我們在固定這個時間會做這樣的一個處理好以上說明
transcript.whisperx[337].start 9929.704
transcript.whisperx[337].end 9935.626
transcript.whisperx[337].text 針對林俊俊委員提案甚至提案的部分也確實就是說去年6月30號施行這個處理條例43條那危險駕駛有這個超速60降到這個時之後確實這個危險駕駛的這個調控案件數有這個增加
transcript.whisperx[338].start 9945.49
transcript.whisperx[338].end 9973.504
transcript.whisperx[338].text 那以最近5年這個就是整體這個吊扣駕照的部分的話大概危險駕駛是佔百分之這個百分之二十五大概十分之一那酒駕的部分大概佔百分之十五那另外一個最大宗的部分大概就是車輛預期檢驗被這個吊銷牌照的部分這個也大概佔到這個百分之二十那這邊剛剛委員這個就事做指導就是說相關速限的這一個就是說合理金融的一個檢討那另外一個部分包括這個
transcript.whisperx[339].start 9974.484
transcript.whisperx[339].end 9981.526
transcript.whisperx[339].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[340].start 10000.811
transcript.whisperx[340].end 10001.232
transcript.whisperx[340].text 委員會主席
transcript.whisperx[341].start 10007.563
transcript.whisperx[341].end 10036.161
transcript.whisperx[341].text 目前就是說我們知道這個國家中央安全建設的這個資安的風險也是非常的一個重要所以這個部分36到42案本席在這邊做一個處理是不是建議我們就採凍結10%然後提書面報告後使得凍之這樣好不好好謝謝那我們接下來就處理第43到46案有關這個一般行政
transcript.whisperx[342].start 10038.003
transcript.whisperx[342].end 10040.105
transcript.whisperx[342].text 二、繼續審查114年度中央政府總預算案附屬單位預算案附屬單位預算
transcript.whisperx[343].start 10054.944
transcript.whisperx[343].end 10081.952
transcript.whisperx[343].text 本期提了第43案針對一般行政的部分我們提案凍結300萬是因為交通部目前在反霸凌專區部分還沒有完整揭示如何保障員工的一個隱密申訴那造成這個還有台鐵的員工透過媒體管道進行這個職場霸凌的案件揭露那我們也要求交通部針對霸凌申訴的管道的這部分應該做一個完善的一個
transcript.whisperx[344].start 10084.254
transcript.whisperx[344].end 10091.022
transcript.whisperx[344].text 處理,確保申訴隱密性。以上。接下來請林佩祥委員
transcript.whisperx[345].start 10091.598
transcript.whisperx[345].end 10110.604
transcript.whisperx[345].text 好謝謝昭偉基本上我本期的意見跟之前有關這個出國去出國去考察出國去開會一樣那那這邊是這個是林建啟委員幫忙希望我能夠提的那他剛剛也在這邊做出很多說明那我在這邊還是維持原意的建議3減100萬凍結10發並將專案報告之後才才實動事以上
transcript.whisperx[346].start 10115.381
transcript.whisperx[346].end 10123.883
transcript.whisperx[346].text 林沛翔委員林國成委員本期是46案,我們是檢列200萬,但是看主席最後怎麼裁決。許智賢委員許智賢委員許智賢委員許智賢委員許智賢委員許智賢委員
transcript.whisperx[347].start 10147.132
transcript.whisperx[347].end 10148.112
transcript.whisperx[347].text 徐副副委員徐副副委員
transcript.whisperx[348].start 10161.917
transcript.whisperx[348].end 10188.646
transcript.whisperx[348].text 我們是算是少數有涉反霸凌專區在網路上的這是我們查過的那員工那除了反霸凌專區之外他還可以透過書面等等的方式向部裡面來做申訴那當然有些員工他選擇用這樣的方式我們表示尊重透過媒體的方式但是我們當然不希望說我們內部的這個申訴管道是不暢通的我想暢通這個部分絕對請委員放心這個絕對不會有問題的
transcript.whisperx[349].start 10191.527
transcript.whisperx[349].end 10195.391
transcript.whisperx[349].text 二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建
transcript.whisperx[350].start 10209.864
transcript.whisperx[350].end 10235.47
transcript.whisperx[350].text 以114年來講這筆預算事實上目前來講我們已經完成審查的動作也就是說我們有大概有四個案子現在準備要出去那這四個案子分別是鐵道局的有關鐵路系統的經營案子那還有這個兩個是這個氣象署的包括地震包括海嘯以及海象等等的這個預警措施那另外一個是航港局的有關航岸的部分
transcript.whisperx[351].start 10236.07
transcript.whisperx[351].end 10262.94
transcript.whisperx[351].text 所以這四個案子經過我們內部市長召集相關機關單位一起審查以後當然提案的非常多那是我們經過篩選了以後篩的是四個案子所以這邊要特別請求委員說這個刪一百萬的部分是不是可以不要刪因為這樣子對大家在執行後續的很多研究案甚至很多對老百姓在平常運用資訊的這一塊會有產生某些影響
transcript.whisperx[352].start 10264.249
transcript.whisperx[352].end 10264.929
transcript.whisperx[352].text 議員提出的建議有效嗎?
transcript.whisperx[353].start 10278.884
transcript.whisperx[353].end 10300.727
transcript.whisperx[353].text 這個還要經過檢測我們內部這個相關部門他看過這個建議以及執行情形以後我們才會解除列管所以交通部在做這件事情事實上我們是用比較嚴謹的態度來面對的所以希望委員能夠支持這個100萬不要刪減喔那如果需要了解書面報告的部分我們來配合上
transcript.whisperx[354].start 10304.482
transcript.whisperx[354].end 10322.377
transcript.whisperx[354].text 好那請林佩祥委員這邊的解凍條件是三個月內提出專案報告並經同意之後使得凍資那我可以理解以交通部的回答來講如果刪減預算不行的話那我就提議來提凍結20%這邊在三個月內提出專案報告並經同意之後使得凍資謝謝
transcript.whisperx[355].start 10328.669
transcript.whisperx[355].end 10330.85
transcript.whisperx[355].text 好,那江峰部這邊處長有沒有要再說明?
transcript.whisperx[356].start 10357.253
transcript.whisperx[356].end 10375.59
transcript.whisperx[356].text 委員報告一下因為我們這個科目其實基本上人事費佔的大宗今年增加的錢也是人事費最多然後再來就是我們的辦公室因為上市地震其實有一些毀損然後有一些機房設施需要因為年久失修了需要汰換所以大概主要增加的錢在這裡那
transcript.whisperx[357].start 10378.365
transcript.whisperx[357].end 10403.777
transcript.whisperx[357].text 所以是第一個懇請委員不要刪減因為基本上我們這個科目是非常非常準確在編列的那第二個是假使是用專案報告因為那個這樣的話我們變成因為所有的施作都會影響我們辦公的過程那這樣的話這個施作期間就會很難掌控因為專案沒有過的話就沒辦法這個啟動所以要懇請委員是不是能夠以書面報告的方式來處理
transcript.whisperx[358].start 10409.131
transcript.whisperx[358].end 10422.727
transcript.whisperx[358].text 委員會要詢問的,若沒有的話,我們就來做一個處理。剛剛我們交通部這邊有回覆,就是在一般行政的部分,大部分還是都是人事費佔大宗。
transcript.whisperx[359].start 10424.969
transcript.whisperx[359].end 10449.271
transcript.whisperx[359].text 其他部分因為可能也是涉及到這個就是要執行有這個時間性的一個問題所以在這邊我們是不是就是才凍結20%然後書面報告了好不好不是因為他們如果說有工程沒辦法會來不及我們就書面報告了
transcript.whisperx[360].start 10449.611
transcript.whisperx[360].end 10460.676
transcript.whisperx[360].text 我針對的是教育訓練費我針對的是教育訓練費哪裏有什麽設備哪裏有什麽哪裏有什麽我是針對教育訓練費我是300多萬啊我是凍結20%啊那本來3減100萬凍結10%318萬1000元那現在我沒有3減不用說我凍結20%在專案報告對啊凍結20%對啊對啊可是專案報告啊
transcript.whisperx[361].start 10477.244
transcript.whisperx[361].end 10480.006
transcript.whisperx[361].text 二、繼續審查114年度中央政府總預算案關於交通部單位預算
transcript.whisperx[362].start 10500.165
transcript.whisperx[362].end 10511.495
transcript.whisperx[362].text 好,謝謝林培祥委員。那我們在這個一般行政的這個科目我們就是凍結20%然後提書面報告後時的凍支。好,謝謝。接下來我們處理第47到108案有關交通運輸規劃及產業發展這個預算數是15億4千零20萬5千。好。
transcript.whisperx[363].start 10527.309
transcript.whisperx[363].end 10529.252
transcript.whisperx[363].text 五十二案改組決議提案委員林佩祥委員
transcript.whisperx[364].start 10542.89
transcript.whisperx[364].end 10565.452
transcript.whisperx[364].text 針對65案主要是因為說其實我其實這個提案的委員會許新義委員認為說這幾年來交通事故的交通事故雖然我們跟很多預算在上面其實成效並沒有很成效並不彰所以說在這上面來講是是凍結兩億元那其實基本上也是希望說因為這個案子是知識體大全部全國都在關心這方面的方面的議題所以這邊我會建議說
transcript.whisperx[365].start 10566.793
transcript.whisperx[365].end 10592.026
transcript.whisperx[365].text 還是一樣雖然凍結2億元不過提出專案報告針對行人史上道路安全的案子以上好謝謝接下來黃建豪委員再來尤化委員再來林國成委員謝謝好謝謝召委員我是第69案也是針對這個道路交通安全部分5億1700萬的部分我是提凍結10%那提專案報告那我想我這邊要請交通部不要再跟阿Q說是專案報告還是書面報告因為其實這個
transcript.whisperx[366].start 10593.166
transcript.whisperx[366].end 10594.107
transcript.whisperx[366].text 刑人臨死亡願景刑人臨死亡願景刑人臨死亡願景
transcript.whisperx[367].start 10614.019
transcript.whisperx[367].end 10619.682
transcript.whisperx[367].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[368].start 10641.515
transcript.whisperx[368].end 10649.273
transcript.whisperx[368].text 這不是一個隨便的事情這理論上應該是交通部最重大的政策之一所以我想做專案報告並不是應該是一個合理的這個狀況所以我們希望要堅持謝謝
transcript.whisperx[369].start 10651.805
transcript.whisperx[369].end 10651.845
transcript.whisperx[369].text 郭文貴議員
transcript.whisperx[370].start 10681.425
transcript.whisperx[370].end 10682.045
transcript.whisperx[370].text 委員會委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[371].start 10703.516
transcript.whisperx[371].end 10731.487
transcript.whisperx[371].text 接下來邀請林國成委員謝謝主席因為本席提的是六十案六十案我主張三減一億因為他編列預算其原因是陸老師成績非常非常不好然後要你們提出陸老師所做過過去的因為他已經連續幾年都是陸老師他是同一家公司承包所以這個部分本席非常重視所以我是主張要三減一億
transcript.whisperx[372].start 10733.148
transcript.whisperx[372].end 10752.244
transcript.whisperx[372].text 議員議員議員議員議員議員
transcript.whisperx[373].start 10752.244
transcript.whisperx[373].end 10778.234
transcript.whisperx[373].text 議員議員議員議員
transcript.whisperx[374].start 10780.316
transcript.whisperx[374].end 10787.144
transcript.whisperx[374].text 這個90案的部分一定要去堅持一定要刪以上好接下來邀請林俊憲委員
transcript.whisperx[375].start 10788.691
transcript.whisperx[375].end 10816.665
transcript.whisperx[375].text 謝主席各位同仁本席提第56案第一個我們要關心一下無照駕駛我國每年三十幾萬件的交通事故大概有五萬件是無照駕駛造成六百多人死亡六萬多人受傷造成原因都是無照駕駛無照駕駛造成的死傷人數是酒駕的五倍到六倍那我們社會對酒駕零容忍
transcript.whisperx[376].start 10817.99
transcript.whisperx[376].end 10833.382
transcript.whisperx[376].text 國家用了很大的力量在打擊酒駕,跨部會,像交通部跟警政署的合作。那對於死傷人數是酒駕5到6倍的無照駕駛,我們就放任他每年違規人數都成長。
transcript.whisperx[377].start 10836.025
transcript.whisperx[377].end 10839.107
transcript.whisperx[377].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[378].start 10858.098
transcript.whisperx[378].end 10859.159
transcript.whisperx[378].text 公路基金-國道公路建
transcript.whisperx[379].start 10888.138
transcript.whisperx[379].end 10902.489
transcript.whisperx[379].text 另外,國人關心的大型車輛肇事,每年大卡車、大貨車、大型車輛肇事一年大概有8000件,一年死在大車輪下超過300人,受傷將近萬人,死亡306,受傷9664人。
transcript.whisperx[380].start 10910.373
transcript.whisperx[380].end 10936.041
transcript.whisperx[380].text 那時候就交通部推一個計劃從2022年起就是大車都強制要裝視野輔助預警系統那第一期應該也執行完畢了那為什麼反而大車的肇事件數造成的死傷人數仍然每年都增加為什麼請交通部要提出檢討報告來
transcript.whisperx[381].start 10937.833
transcript.whisperx[381].end 10959.238
transcript.whisperx[381].text 所以我們每天看到新聞大車肇事都是很慘累的啦那交通部為什麼放任他那提的對策也都沒有用過去那個事業無助系統政府也花了那麼多錢為什麼沒有辦法降低大車的肇事和死傷人數這個也提個報告我也提凍結10%第72案那第71案我現在發現
transcript.whisperx[382].start 10964.025
transcript.whisperx[382].end 10974.495
transcript.whisperx[382].text 很多的危險路口其實最危險的是在斑馬線因為行人會走斑馬線但是你手法不一定安全因為我們的斑馬線啊都沒有照明
transcript.whisperx[383].start 10975.819
transcript.whisperx[383].end 11004.547
transcript.whisperx[383].text 政府法規有規定斑馬縣的照明亮度但是都沒有在執行這個應該大部分都是地方政府要執行那地方政府如果沒有執行這一塊所以我們發現造勢的案件尤其死亡車禍幾乎都是在晚上照理講晚上車量應該比較少但反而A1死傷的車禍是白天的兩倍那其中最主要原因都是照明不明顯
transcript.whisperx[384].start 11005.782
transcript.whisperx[384].end 11006.042
transcript.whisperx[384].text 委員會主席
transcript.whisperx[385].start 11015.851
transcript.whisperx[385].end 11032.048
transcript.whisperx[385].text 因此我們交通部應該要跟地方政府檢討新能穿越道就是斑馬線的照明問題應該要把它列為對於地方政府交通考核評比的一個重要項目所以本期就本預算就交通運輸規範產業凍結10%請交通部3個月內提報告好謝謝
transcript.whisperx[386].start 11038.961
transcript.whisperx[386].end 11056.439
transcript.whisperx[386].text 何欣淳委員提出第76案,除了剛剛其他委員在講的有關大型車輛或行人安全、用路交通安全的宣導跟執行,還有我想交通部也一定要做到位。
transcript.whisperx[387].start 11058.1
transcript.whisperx[387].end 11074.41
transcript.whisperx[387].text 道交基本法及上次修的道交整個管理條例在在都是希望整個交通安全能夠受到最高度的重視能夠確保所有用戶人的安全在我第76案裡面特別有提到在談高齡者安全的問題
transcript.whisperx[388].start 11080.493
transcript.whisperx[388].end 11085.378
transcript.whisperx[388].text 公路基金-國道公路建公路基金-國道公路基金-國道公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金
transcript.whisperx[389].start 11100.114
transcript.whisperx[389].end 11116.554
transcript.whisperx[389].text 負擔主要的造勢責任的事故死傷人數卻達整體之百分之16.7而且其中屬於這個機車事故者高達百分之17那也意思就是說同樣汽車機車那大家
transcript.whisperx[390].start 11117.415
transcript.whisperx[390].end 11125.503
transcript.whisperx[390].text 公路基金-國道公路建公路基金-國道公路基金-國道公路基金-國道公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金
transcript.whisperx[391].start 11139.377
transcript.whisperx[391].end 11143.019
transcript.whisperx[391].text 公路基金-國道公路建公路基金-國道公路基金-國道公路基金
transcript.whisperx[392].start 11153.985
transcript.whisperx[392].end 11177.022
transcript.whisperx[392].text 議員議員議員議員議員議員
transcript.whisperx[393].start 11178.002
transcript.whisperx[393].end 11205.187
transcript.whisperx[393].text 憲導人民交通安全的重要性和守法的重要性但是我希望交通部是不是給我們一個更好的書面報告除了你們設定的KPI之外從量跟值你們到底是怎麼做的這個質性的報告事實上是更重要的因為從質性的報告裡面我們才能夠知道你們是用什麼方式在做宣導那宣導到底正不正確有沒有投
transcript.whisperx[394].start 11206.067
transcript.whisperx[394].end 11207.808
transcript.whisperx[394].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[395].start 11228.441
transcript.whisperx[395].end 11250.512
transcript.whisperx[395].text 從人本交通的推動觀念裡面我們現在要改善標線、標誌、號誌、行人措施包括我剛剛講的人行道都跟以前的觀念跟設計模式是不一樣的但是呢我們人民的觀念有沒有跟得上比如說我們現在在地方上做了很多的人行道但是呢備受質疑
transcript.whisperx[396].start 11251.564
transcript.whisperx[396].end 11252.305
transcript.whisperx[396].text 委員會主席委員會主席委員會主席
transcript.whisperx[397].start 11269.707
transcript.whisperx[397].end 11296.372
transcript.whisperx[397].text 那我們在道路的標誌標線還有所謂的號誌的設計上我們是如何橫頻來設計我們的設計規範跟理念又是什麼我覺得這個都必須要在宣導裡面要去告訴大家因為大家全民都能夠在這樣子的一個好的一個友善的交通環境裡面那才能夠真正的第一個守規守法第二個保護所有用路人安全包括我剛剛在講的高齡駕駛者的安全
transcript.whisperx[398].start 11299.013
transcript.whisperx[398].end 11303.335
transcript.whisperx[398].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[399].start 11322.444
transcript.whisperx[399].end 11323.024
transcript.whisperx[399].text 委員會委員會委員會委員會委員會
transcript.whisperx[400].start 11344.574
transcript.whisperx[400].end 11370.731
transcript.whisperx[400].text 在換照制度之前75歲已經領有駕照的人他不用換照而這一群人到目前為止我們交通部並沒有精準的掌握這些人他的這個交通習性他的交通的這個用路的一個認知還有他的身體狀況那這些人可能就是我們剛剛在講的他是比較可能是高危險造勢的族群
transcript.whisperx[401].start 11371.271
transcript.whisperx[401].end 11396.613
transcript.whisperx[401].text 議員議員議員議員議員
transcript.whisperx[402].start 11396.613
transcript.whisperx[402].end 11417.568
transcript.whisperx[402].text 議員議員議員議員議員
transcript.whisperx[403].start 11417.708
transcript.whisperx[403].end 11427.731
transcript.whisperx[403].text 要求要凍結3000萬的預算凍結數額多少我覺得可以討論但是希望真的要做到我剛剛提醒的這兩個大部分的一個訴求謝謝
transcript.whisperx[404].start 11436.41
transcript.whisperx[404].end 11464.749
transcript.whisperx[404].text 謝謝主席、各位同仁本席另有提第87案是關於我們台灣新車安全平等精進計畫台灣以前國產車是沒有在做安全平等沒有做碰撞測試所以在我們過去幾年本席也跟很多同仁我們推動之下現在台灣的新車就我們國產車的碰撞的安全平等也納入了
transcript.whisperx[405].start 11466.29
transcript.whisperx[405].end 11474.62
transcript.whisperx[405].text 但是這項計畫執行起來,到像今年度的預算到2024年10月只有66.5還有兩款新車沒有公佈評測結果
transcript.whisperx[406].start 11479.85
transcript.whisperx[406].end 11482.512
transcript.whisperx[406].text 一、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[407].start 11502.466
transcript.whisperx[407].end 11524.155
transcript.whisperx[407].text 議員議員議員議員議員
transcript.whisperx[408].start 11524.369
transcript.whisperx[408].end 11546.471
transcript.whisperx[408].text 原本我們就是說希望能夠,剛剛預算省長有提到你說明年要變成到八款車型今年因為只有執行六款另外兩款業者是自費受測其實國產車的有碰撞車式的覆蓋率也不到四成
transcript.whisperx[409].start 11547.833
transcript.whisperx[409].end 11568.912
transcript.whisperx[409].text 所以我們未來如何持續的推動國產車的安全評比讓消費者可以在買車的時候有很清楚的了解到你的車子的安全平等應該要全面推動以外也要持續鼓勵業者你要投入自費的平等來提高這個覆蓋率所以本期建議這個預算
transcript.whisperx[410].start 11570.954
transcript.whisperx[410].end 11587.371
transcript.whisperx[410].text 就是我們在交通運輸規範產業發展向下的臺灣新造安全平等基金計劃凍結十分之一請交通部三個委員提計劃如何提升平等的覆蓋率以及如何增加業者自費平等提出諮問報告後再請通知好謝謝
transcript.whisperx[411].start 11588.208
transcript.whisperx[411].end 11591.651
transcript.whisperx[411].text 主席,我的提案是第83案主要的一個標題跟剛剛郡縣委員講的是一樣的這個案子所謂的TNCAP,台灣新車安全評定我覺得對整個這個未來買車的人是一個非常重要的一個訊息
transcript.whisperx[412].start 11609.446
transcript.whisperx[412].end 11624.909
transcript.whisperx[412].text 但是因為在過去我們可能第三年前兩年在做的時候這效益沒有產生沒有產生到底評定的如何那也不知道但是在評定的過程中居然產生了類似洩密的一個情況之前林委員也質詢過
transcript.whisperx[413].start 11625.93
transcript.whisperx[413].end 11650.265
transcript.whisperx[413].text 議員議員議員議員議員
transcript.whisperx[414].start 11650.265
transcript.whisperx[414].end 11664.77
transcript.whisperx[414].text 議員議員議員議員
transcript.whisperx[415].start 11665.213
transcript.whisperx[415].end 11681.869
transcript.whisperx[415].text 議員議員議員
transcript.whisperx[416].start 11684.485
transcript.whisperx[416].end 11707.937
transcript.whisperx[416].text 1.87億將近是112年的一倍那你們回報也是8款跟112年都是一樣我們安全車是8款為什麼將近多這麼多錢你們要把它放在裡面是要給車安中心或者給誰去用那你要講清楚不然大家你要還有什麼要設備要買我覺得這都要講清楚不然數字不對然後你們也說
transcript.whisperx[417].start 11709.985
transcript.whisperx[417].end 11734.341
transcript.whisperx[417].text 114年編的這個錢預計8輛檢測目前有兩家車廠自願送驗按理說你只要自費去買6輛車所以這個錢怎麼樣去多我是看不懂不過還是要提醒一下因為車輛測試必須公平所以自己送來的車是不是引狼入室特殊裝潢特殊
transcript.whisperx[418].start 11735.802
transcript.whisperx[418].end 11761.901
transcript.whisperx[418].text 這個強度的這個你們都要去考量但如果只要有騙一次的要騙一次要最嚴重的如果他自己送院好事嘛省國家經費但他如果送來是特殊加強結構或者按照我們測試的標準去改的這個一次之後大概這個就要就應該要把打入地獄那最後我要說
transcript.whisperx[419].start 11763.82
transcript.whisperx[419].end 11780.917
transcript.whisperx[419].text 我們2022、2023就是去年也做了一個測試這個檢測然後評定那評定的過程中那我看到TOYOTA的CROSS他的車種就是五星級就公布出來了那到底為什麼洩密這個你們要講清楚那
transcript.whisperx[420].start 11784.144
transcript.whisperx[420].end 11786.285
transcript.whisperx[420].text 同一時間發現Toyota對10款車從2014年到2020年造假撞擊測試全面造假角度的變騙不是騙台灣人騙世界
transcript.whisperx[421].start 11804.789
transcript.whisperx[421].end 11805.01
transcript.whisperx[421].text 委員會主席
transcript.whisperx[422].start 11822.483
transcript.whisperx[422].end 11841.937
transcript.whisperx[422].text 議員議員
transcript.whisperx[423].start 11842.037
transcript.whisperx[423].end 11868.95
transcript.whisperx[423].text 可是問題他的專業度他的守密程度最後他評比出來的KPI跟對民眾的價值我覺得要顯現出來哪個好哪個壞你真的在市場上面要有價值不然你明明在那邊做欸兄弟你這個車做得不好你可以再改善一下我們預算不是要做這個事情所以我覺得因為過去在這個車輛預算我們覺得有稍微多邊了
transcript.whisperx[424].start 11871.311
transcript.whisperx[424].end 11875.873
transcript.whisperx[424].text 直行方面守密度不夠,需要改善配額部分3.3千萬
transcript.whisperx[425].start 11888.967
transcript.whisperx[425].end 11917.315
transcript.whisperx[425].text 謝謝主席本席提出了48到51還有53共5個案子那48的部分是針對我們交通部跟運營所提出一個營造深度減碳的一個運輸計畫那截至目前交通部還沒有報請行政院核定那請交通部盡快研議整合運營所相關單位的計畫我想這個是對我們這個整個低碳交通區的一個推動引導很重要的一個計畫請交通部加快辦理
transcript.whisperx[426].start 11918.396
transcript.whisperx[426].end 11930.953
transcript.whisperx[426].text 第2、49案是針對道路行人交通安全的部分我們希望有效降低交通事故死亡人數也請交通部盡快提出整體評估精進計畫
transcript.whisperx[427].start 11933.977
transcript.whisperx[427].end 11940.006
transcript.whisperx[427].text 第五十案針對自衛運輸部分目前執行進度有明顯落差請交通部研議針對地方政府強化補助案件審查管控部分強化
transcript.whisperx[428].start 11949.378
transcript.whisperx[428].end 11975.731
transcript.whisperx[428].text 那第51項就呈如剛剛我們那個具現委員提到TNCAP這個部分的做法要研議那這部分本期是希望要求要凍結這個交通運輸規劃及產業發展5000萬的一個預算那針對53案的部分因為現在屏東縣這個偏鄉的這個交通問題希望能夠交通部能夠支持包含幸福巴士跟小黃公車的部分能夠有效的這個強化這個一個
transcript.whisperx[429].start 11978.152
transcript.whisperx[429].end 12001.721
transcript.whisperx[429].text 解決這個大眾運輸不足的問題那尤其我們這個屏東縣的這個交通事故很多的因素是因為大眾運輸的不足那很多鄉親以機車為交通工具尤其是一些長輩那造成了一個事故的死亡的部分比例很高所以我們希望交通部能夠針對這個一個偏鄉的運輸的部分包含幸福巴士跟小黃公車能夠強化的
transcript.whisperx[430].start 12003.442
transcript.whisperx[430].end 12016.58
transcript.whisperx[430].text 強化一個我們一個補助的一個改善方案那這部分本期是提案要求凍結這個500萬元那請交通部提出書面報告後使得動之謝謝徐副魁委員那民進憲委員要再發言嗎
transcript.whisperx[431].start 12021.347
transcript.whisperx[431].end 12044.799
transcript.whisperx[431].text 謝謝主席本期提議第107案這個為什麼今年的執行率那麼差我想請交通部說明一下因為這個是要訂一個規則給地方政府來執行規劃低碳交通區還有交通場域節能減碳因為你這個規則先訂出來未來地方政府他才有機會來爭取相關的獎補助費用
transcript.whisperx[432].start 12048.721
transcript.whisperx[432].end 12065.586
transcript.whisperx[432].text 所以如果你這個相關要點還有推動指引你都訂不出來那未來的繳補助費你怎麼去執行所以對於107案本席提案是凍結十分之一就是深度營造簡單計劃這個整理計劃6000萬裡面凍結十分之一請交通部上個月內提計劃再解凍謝謝
transcript.whisperx[433].start 12071.73
transcript.whisperx[433].end 12071.911
transcript.whisperx[433].text 提案委員提案
transcript.whisperx[434].start 12089.873
transcript.whisperx[434].end 12090.234
transcript.whisperx[434].text 委員會主席
transcript.whisperx[435].start 12113.996
transcript.whisperx[435].end 12115.518
transcript.whisperx[435].text 機車燃料使用費及交通違規罰款徵收收入分配於道路主管機關運用
transcript.whisperx[436].start 12128.336
transcript.whisperx[436].end 12143.353
transcript.whisperx[436].text 議議員議員
transcript.whisperx[437].start 12143.393
transcript.whisperx[437].end 12159.54
transcript.whisperx[437].text 的部分能夠比照大安綱要計劃的五大面向,定定運用的比例,設計相關查查機制以精準的聚焦大安經費的使用情形。我們希望交通部能夠提出書面報告,然後使得動之。我是提動解10%
transcript.whisperx[438].start 12161.101
transcript.whisperx[438].end 12161.501
transcript.whisperx[438].text 第88案針對新車安全平等經濟
transcript.whisperx[439].start 12178.67
transcript.whisperx[439].end 12205.019
transcript.whisperx[439].text 確實能夠落實所以這個部分我也是提凍結預算10%那希望交通部在三個月內提出書面報告後時的動之再來第91案的部分就是有關行政業務這個預算數本席也是提案凍結10%那希望就是交通部能夠積極協調民航局、淘氣公司及各航空公司能夠
transcript.whisperx[440].start 12206.119
transcript.whisperx[440].end 12208.601
transcript.whisperx[440].text 加強溝通,強化機場內的智慧化設備運用提增進整個服務水準第96案有關交通運輸規劃及產業發展向下的智慧運輸系統發展建設計劃114年至117年要開始第三期計劃
transcript.whisperx[441].start 12235.759
transcript.whisperx[441].end 12257.517
transcript.whisperx[441].text 議員議員議員議員議員
transcript.whisperx[442].start 12258.017
transcript.whisperx[442].end 12258.298
transcript.whisperx[442].text 委員委員會委員會委員會委員會
transcript.whisperx[443].start 12272.811
transcript.whisperx[443].end 12273.011
transcript.whisperx[443].text 委員會委員會委員會
transcript.whisperx[444].start 12293.496
transcript.whisperx[444].end 12321.635
transcript.whisperx[444].text 本席是提凍結預算數10%然後希望就是交通部可以針對目前執行的這個計畫然後檢討有需要再更加的精進的一個部分然後希望對於提供未來第三期的一個執行可以提供參考的一個部分包括控管、審核的各個面向那這個部分本席希望就是說要求交通部能夠提出書面報告後時的凍結
transcript.whisperx[445].start 12322.836
transcript.whisperx[445].end 12348.603
transcript.whisperx[445].text 然後最後一個案就是有關營造深度減碳運輸環境計打造低耗能交通場域計劃這個部分我們在明年度是編列6000萬元的一個經費要來也是講補助費要用於補助直轄市及各縣市政府建立低碳交通示範區這樣子的一個計劃可是這部分本是比較
transcript.whisperx[446].start 12349.343
transcript.whisperx[446].end 12370.862
transcript.whisperx[446].text 議員議員議員議員
transcript.whisperx[447].start 12371.142
transcript.whisperx[447].end 12397.49
transcript.whisperx[447].text 百分之十的預算然後建請交通部能夠訂定低碳交通區補助作業要點與推動的指引的一個時程權責劃分之通案性的指導原則然後所以這部分希望就是交通部能夠提出書面報告後時的動質好那以上那是不是請交通部根據剛剛所有委員的提案有就是詢問的部分然後做一個完整的說明謝謝
transcript.whisperx[448].start 12404.654
transcript.whisperx[448].end 12419.145
transcript.whisperx[448].text 各位委員那中總我想就供應司這邊相關業務的部分我先做一個報告那中總剛剛委員所這個提案跟這個槌尋的部分的話大概有四大課題那第一大課題就是有關於包括
transcript.whisperx[449].start 12419.825
transcript.whisperx[449].end 12436.52
transcript.whisperx[449].text 油耗委員及經營委員關系大型車安全部分。大型客車部分,包括市區客運、公路客運及遊覽車客運的部分,基本上全部要裝GPS上動態系統。
transcript.whisperx[450].start 12438.461
transcript.whisperx[450].end 12467.088
transcript.whisperx[450].text 公司上下半年都要有這個教育訓練。針對文文關切的可能在大型貨車貨運的這個部分在法規裡面雖然是沒有明文規定要上下半年有這個教育訓練但是這個部分公路局現在是透過EIS就是風險控管的部分每一家貨運公司每個月他這個駕駛人還有車輛的違規紀錄都在這個有做一個中整那只要超過這個預警的部分的話
transcript.whisperx[451].start 12467.648
transcript.whisperx[451].end 12484.158
transcript.whisperx[451].text 二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附
transcript.whisperx[452].start 12496.425
transcript.whisperx[452].end 12515.725
transcript.whisperx[452].text 議員議員議員議員
transcript.whisperx[453].start 12515.725
transcript.whisperx[453].end 12530.742
transcript.whisperx[453].text 議員議員議員
transcript.whisperx[454].start 12530.862
transcript.whisperx[454].end 12531.022
transcript.whisperx[454].text 委員會主席
transcript.whisperx[455].start 12555.333
transcript.whisperx[455].end 12555.493
transcript.whisperx[455].text 委員會主席
transcript.whisperx[456].start 12573.524
transcript.whisperx[456].end 12590.879
transcript.whisperx[456].text 議員議員議員
transcript.whisperx[457].start 12590.879
transcript.whisperx[457].end 12612.5
transcript.whisperx[457].text 議員議員
transcript.whisperx[458].start 12613.481
transcript.whisperx[458].end 12638.535
transcript.whisperx[458].text 國內經過一個禮拜再發布出來剛好也是這一個就是五顆星那中間有這樣子誤解大概包括部裡面包括這一個河灘那邊大概都有都要做這個說明那第三個部分的話剛剛委員有提到112年同樣這個這個八個車型跟今年跟明年要回顧到八個車型邊的預算會有點差異的部分我跟這個我報告一下因為
transcript.whisperx[459].start 12640.776
transcript.whisperx[459].end 12654.344
transcript.whisperx[459].text 檢測一型車必須要買適量車適量車的部分我跟委員報告一下比如說明年要測試特斯拉的電動車Model Y車價會有不一樣另外一個部分在112年
transcript.whisperx[460].start 12666.911
transcript.whisperx[460].end 12684.941
transcript.whisperx[460].text 檢測費用每款應該是要1100萬當時在112年的時候因為抱怨核定只有核定這一個800萬所以他就自己吸收了現在113到117的部分那個每行車的檢測費用是核定1100萬就是回顧到正常所以這個費用有一點這個不一樣
transcript.whisperx[461].start 12689.384
transcript.whisperx[461].end 12689.785
transcript.whisperx[461].text 議員法定人數不足
transcript.whisperx[462].start 12708.268
transcript.whisperx[462].end 12709.808
transcript.whisperx[462].text 貸款貸款貸款貸款貸款貸款貸款貸款貸款貸款貸款貸款貸款貸款貸款貸款貸款
transcript.whisperx[463].start 12736.295
transcript.whisperx[463].end 12750.74
transcript.whisperx[463].text 包括徐富可委員及金縣委員及所有委員有關切到低碳交通區的部分。低碳交通區的部分其實前兩年金縣委員所關切的預算執行部分是運營所在做前置的規劃
transcript.whisperx[464].start 12751.62
transcript.whisperx[464].end 12773.232
transcript.whisperx[464].text 前置的規劃是要完成所謂提供給地方政府建置地攤交通區的執印另外一個就是說透過委外的研究提出一個補助作業要點的草案目前這個案子他們已經完成期末報告所以期末報告結束之後最後一筆款付出去的話大概僅這個預算的執行應該都會符合規定
transcript.whisperx[465].start 12776.834
transcript.whisperx[465].end 12794.053
transcript.whisperx[465].text 議員議員議員議員議員議員
transcript.whisperx[466].start 12794.213
transcript.whisperx[466].end 12816.428
transcript.whisperx[466].text bicyclist 指引和補助作業要點就會完成定班提供給地方政府來做參考。在目前整個過程當中,我們也跟各縣市地方政府,包括高雄、台南,他們有意願,未來要推出示範地攤交通區的部分,目前都有在做。
transcript.whisperx[467].start 12817.609
transcript.whisperx[467].end 12819.912
transcript.whisperx[467].text 第四、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建
transcript.whisperx[468].start 12838.932
transcript.whisperx[468].end 12853.945
transcript.whisperx[468].text 現行這個分配給六都的棄燃費的一個部分的話在每年要提這個工作計畫說現在是跟這個刀安的綱要計畫扣合在一起那另外一個部分的話在這個法院分配辦法也剛這個完成做這個討論
transcript.whisperx[469].start 12856.727
transcript.whisperx[469].end 12872.918
transcript.whisperx[469].text 告核道安鋼藥計劃道路交通安全改善經費列入可使用範圍,此部分持續在辦理當中。以上我先重點做一個報告。知識運輸的部分你好像沒有說明。
transcript.whisperx[470].start 12880.205
transcript.whisperx[470].end 12881.667
transcript.whisperx[470].text 智慧運輸負責負責負責負責負責負責負責負貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼
transcript.whisperx[471].start 12897.285
transcript.whisperx[471].end 12914.561
transcript.whisperx[471].text 年初辦採購,年底陸續結案。所以在整個預算執行率的部分有先緩後快的特性那也跟昭緯跟徐議員報告,事實上我們統計的結果到年底我們的進度已經趕上來,超過90%另外我們後續還是會持續來強化對於補助案件的審議,尤其剛剛昭緯所特別提點的
transcript.whisperx[472].start 12922.708
transcript.whisperx[472].end 12941.218
transcript.whisperx[472].text 已經建立了所謂的管考督導機制我們會邀請除了我們自己把關之外也會邀請外部的專家委員來進行審查跟把關另外我們也會在適當的時候去實地訪視地方來做他辦理的情況來掌握他整個的內容
transcript.whisperx[473].start 12941.658
transcript.whisperx[473].end 12957.239
transcript.whisperx[473].text 至於您所關切的彰化縣這一塊我們專案輔導我們已經確定他在114年會把前期的這個計畫做完我們也會確實輔導他在這個14年的大概下半年來提115之後的有關ITS這個計畫
transcript.whisperx[474].start 12958.26
transcript.whisperx[474].end 12986.241
transcript.whisperx[474].text 另外剛剛林國成委員所關心特別跟您報告就是在自衛運輸這一塊我們在1110到113的這個第二期那我們也完成了相當多的這個舉例重要的是跟您所口頭的報告第一個我們完成的這個非號速跨入口的風險警示的系統的指引也在174處的入口建置了這樣的警示那由這個臺中市政府交通局的資料顯示那它的這個造勢率
transcript.whisperx[475].start 12986.941
transcript.whisperx[475].end 13006.528
transcript.whisperx[475].text 降低63%確定在114年這塊已經透過預算擴散到其他各縣市我們希望有這樣好的成效另外我們在各縣市也推動了智慧交通中心甚至更大的所謂的暫停市除了去改善各個智慧廊道的交通擁捨
transcript.whisperx[476].start 13008.169
transcript.whisperx[476].end 13024.089
transcript.whisperx[476].text 包括各縣市在辦跨年等等這些輸運包括高雄的這個演唱會的經濟等等也包括屏東墾丁這一塊的這個路廊的改善也就很好的成效那我們在114年也持續提供這樣的一個補助那另外就是在
transcript.whisperx[477].start 13026.472
transcript.whisperx[477].end 13043.237
transcript.whisperx[477].text 交通數據流通TTX除了過往公共運輸資料提供,我們現在也會在這個平台上擴充,在114年要擴充充電樁、交通事件還有所謂的路測設施,之後這些資訊到了TTX的平台之後,
transcript.whisperx[478].start 13043.797
transcript.whisperx[478].end 13066.732
transcript.whisperx[478].text 議員議員議員議員
transcript.whisperx[479].start 13066.792
transcript.whisperx[479].end 13079.512
transcript.whisperx[479].text 保障保護學生通行安全,透過AI辨識方式在學區附近偵測學生通行安全,讓同學更加有保障。
transcript.whisperx[480].start 13081.251
transcript.whisperx[480].end 13104.125
transcript.whisperx[480].text 再跟委員會這邊做報告因為這個科目是交通運輸規劃及產業發展它是一個業務計畫那它業務計畫下面會編了有三種用途別包含業務費、包含設備投資還有獎補助那這個業務費下面呢正好有委辦費和政令宣導費我們剛剛前面已經委員這邊已經決定刪減了委辦費一千萬然後這個政令宣導費兩千兩百萬所以我們建議是不是能夠懇請委員
transcript.whisperx[481].start 13109.969
transcript.whisperx[481].end 13113.676
transcript.whisperx[481].text 不要再刪減只用凍結的方式來處理因為已經刪掉3200萬了謝謝
transcript.whisperx[482].start 13117.927
transcript.whisperx[482].end 13147.927
transcript.whisperx[482].text 議員議員
transcript.whisperx[483].start 13148.287
transcript.whisperx[483].end 13152.51
transcript.whisperx[483].text 預算編列是講補助費會補助給地方政府去執行的在這邊包括林國成委員針對智慧運輸系統要3.2億元這個部分本席在這邊做一個補充說明因為這部分應該有一半60%是講補助費所以是要給地方執行
transcript.whisperx[484].start 13175.683
transcript.whisperx[484].end 13202.057
transcript.whisperx[484].text 包括臺北市政府或新北市政府他們有案要申請的話如果你兩億都把它刪掉了他們要來申請就沒有錢給他們了包括我剛剛提的我們彰化縣有來送案我們也是會就是經過審核之後會給他所以這部分我們就是是不是建議就凍結不要刪減那我們是不是這一個科目我們就做一個來併案處理那林國成委員有要再補充謝謝
transcript.whisperx[485].start 13203.758
transcript.whisperx[485].end 13218.869
transcript.whisperx[485].text 我比較重視其他我提的案子主席如何才我都尊重60案的部分我是蠻堅持因為陸老師這個部分我是認為要稍微
transcript.whisperx[486].start 13220.37
transcript.whisperx[486].end 13247.643
transcript.whisperx[486].text 這個部分可以用凍結來解決九十三案你們講了老半天講了天花亂墜事實上來講真正的問題真正的問題是裡面弊案重重你們都不談不談所以我特別已經跟你們報告黨團已經發現這個問題所以你如果不讓我刪我也同意就送黨團協商
transcript.whisperx[487].start 13249.189
transcript.whisperx[487].end 13276.049
transcript.whisperx[487].text 議員議員議員
transcript.whisperx[488].start 13278.706
transcript.whisperx[488].end 13293.383
transcript.whisperx[488].text 如果說林委員剛剛有提到就是60案可以改凍結嘛齁那這個等一下我們就是並安處理那針對第93案的部分你堅持要刪減那我們是不是我就針對智慧運輸這個部分我們就刪減500萬好不好然後再加凍結啦齁
transcript.whisperx[489].start 13299.77
transcript.whisperx[489].end 13299.79
transcript.whisperx[489].text 委員會議員
transcript.whisperx[490].start 13319.01
transcript.whisperx[490].end 13332.321
transcript.whisperx[490].text 責任已了,因為黨團是對這一件是很有,所以其他主席怎麼採我都沒有意見,那是我看出來的。他說補助給地方政府60%是哪一個部分?講補助費啦。就講補助費?60%喔?那60%的部分給他嗎?60%的部分給他,其他?
transcript.whisperx[491].start 13346.543
transcript.whisperx[491].end 13370.916
transcript.whisperx[491].text 給縣市政府這個把他刪減的話沒有啦給縣市政府裡面就是糧又不起然後弊端重重給縣市政府這沒辦法的是非得不可啦對啦但是你最起碼的話刪了以後那裡面地方政府是有限啦講不出多少錢
transcript.whisperx[492].start 13372.932
transcript.whisperx[492].end 13385.743
transcript.whisperx[492].text 是2億的還是1億的?總補助?2億嗎?4.53億喔?那60呢?60%多少?總補助都是給地方政府的啦你扣掉60%還剩多少?
transcript.whisperx[493].start 13406.218
transcript.whisperx[493].end 13426.768
transcript.whisperx[493].text 因為國交委員主張3、2億嘛對不對?我說2億,這裡面60%的部分先給你們嗎?陳志跟各位委員報告,事實上...你講快一點講快一點一個2.75億是要做前瞻這些東西,如果這一塊一直從100...呃...從106年做到現在,有這樣的一個成就...因為你預算有增加嘛,這裡增加很多嘛其實...
transcript.whisperx[494].start 13429.286
transcript.whisperx[494].end 13432.329
transcript.whisperx[494].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通部主管交通部主管
transcript.whisperx[495].start 13456.79
transcript.whisperx[495].end 13467.936
transcript.whisperx[495].text 你怎麼說明?要3.2億嗎?如果委員真正說跟去年來比的話我是只增加1.5億增加1.5億?對,實際上跟去年來比增加1.5億然後這1.5億就剛剛說的我要佈設的點又更多了那2億不用?不然3.5千萬嗎?
transcript.whisperx[496].start 13482.043
transcript.whisperx[496].end 13484.384
transcript.whisperx[496].text 知會的系統到底比去年增加1.5億,那這1.5億是要
transcript.whisperx[497].start 13505.21
transcript.whisperx[497].end 13532.456
transcript.whisperx[497].text 給誰的嘛那你趕快講清楚如果是給地方政府的對啊你要講清楚啦講清楚如果是必須必要的那我們當然要支持啊是這個部分就是在年底審完之後看看各縣他提的這個案子我們審完目前有哪些地方政府有提啊有提案了嗎縣市政府有提案了嗎有提案了啊我都不知道
transcript.whisperx[498].start 13534.637
transcript.whisperx[498].end 13555.889
transcript.whisperx[498].text 二十二個縣市二十二個縣市都有提嗎?每個縣市都有嗎?你在這裡是有錄影錄影的你要講清楚啦他現在是1.5億現在我們預算通過他才開始分啦你懂了沒有那我分多少你分多少這樣子嘛是不是所以你要講清楚啦好沒關係那黃建豪委員我本來是很溫和凍結300萬但是你這樣講不清楚我來問一下
transcript.whisperx[499].start 13562.021
transcript.whisperx[499].end 13562.802
transcript.whisperx[499].text 智慧運輸系統發展建設計劃-國道公路建設計劃
transcript.whisperx[500].start 13582.43
transcript.whisperx[500].end 13608.307
transcript.whisperx[500].text 這句話講清楚嗎?這樣我們才知道說錢到底去哪裡啦每個縣市都有然後分成基礎型、政策型跟所謂競爭型那現階段在部裡面來審議那年底之前我們會把審議的結果會呈到部長這邊然後就開始執行所以在部裡作業當中對啊你審議結果還沒出來就已經把錢編出來了
transcript.whisperx[501].start 13611.449
transcript.whisperx[501].end 13611.769
transcript.whisperx[501].text 委員會主席
transcript.whisperx[502].start 13641.049
transcript.whisperx[502].end 13659.957
transcript.whisperx[502].text 議員議員議員議員
transcript.whisperx[503].start 13659.977
transcript.whisperx[503].end 13684.612
transcript.whisperx[503].text 那你要告訴我如果像我剛剛的說法臺中市政府要提出第二期第三期第四期延續性的你要不要支持到底有沒有那需不需要這1.5億嘛那你要講清楚你不要含糊好不好我們都在幫忙你希望這筆預算能夠留下來不要被刪但是你要講清楚拜託好接下來請魯敏小召委
transcript.whisperx[504].start 13685.312
transcript.whisperx[504].end 13714.012
transcript.whisperx[504].text 謝謝主席這個案子我本來沒有提啦在旁邊路人看都生氣了就是說你們再解釋這樣好不好拜託我就拜託你一下因為對於所有委員大家都聽得很清楚7.28億你們編算一定有來源從金額最大的列10條給我們我們就知道桃園哪一條嘛來麻煩你列一下這樣就好了7.28億譬如說3億是什麼名稱列出來嘛基本上都是你交通部在用的嘛
transcript.whisperx[505].start 13714.753
transcript.whisperx[505].end 13734.172
transcript.whisperx[505].text 議員議員議員議員
transcript.whisperx[506].start 13735.814
transcript.whisperx[506].end 13736.854
transcript.whisperx[506].text 臺北市、苗栗縣、高雄
transcript.whisperx[507].start 13764.685
transcript.whisperx[507].end 13778.415
transcript.whisperx[507].text 以台北市來說,基本上在112年的話,我們核定了2200至於高雄的部分1400然後在苗栗的部分1100彰化800
transcript.whisperx[508].start 13782.005
transcript.whisperx[508].end 13783.268
transcript.whisperx[508].text 平東-1900、花蓮-1200、台東-3600、澎湖-2300等這是有關交通的耗資的部分
transcript.whisperx[509].start 13802.122
transcript.whisperx[509].end 13812.934
transcript.whisperx[509].text 剛才他是指說桃園的部分列出來念出來對阿那在這邊各縣市的話也沒有到桃園剛才魯明哲文他要提的部分阿那你剛才念的不會也沒有南投縣阿
transcript.whisperx[510].start 13814.048
transcript.whisperx[510].end 13841.967
transcript.whisperx[510].text 來部長部長我是不是建議啦吼我們這一條先第一個你趕快先把資料先找出來你把過去已經執行的預算數到底怎麼執行的所有的細目跟計畫內容你準備一份給我們交通委員會那現在在審明年度的預算你又打算怎麼執行是不是更詳細的一個計畫內容要執行的告訴我們那
transcript.whisperx[511].start 13843.368
transcript.whisperx[511].end 13868.807
transcript.whisperx[511].text 請各位委員來支持這個是給地方的預算我們希望能夠著動那趕快把資料給我們啦好不好不然在這裡拖著也不是辦法啊是是是好那李坤傑委員好謝謝那我看這筆預算裡面其實我們要了解一個重點裡面有4.5億是補助地方政府的
transcript.whisperx[512].start 13870.329
transcript.whisperx[512].end 13885.468
transcript.whisperx[512].text 獎補助的這個主要的經費來源那我們看六都啊大概是1億9那其他各縣市有2億5這是這筆經費4.5億裡面一個很重要的比例那
transcript.whisperx[513].start 13887.206
transcript.whisperx[513].end 13906.347
transcript.whisperx[513].text 這一筆經費剛才何欣淳委員已經講出重點了你們在過去相關的各縣市的補助趕快去整理給各個交通委員會的委員另外一個重點剛才何欣淳委員也講到我們這一筆獎勵補助地方的項目是什麼要讓大家知道
transcript.whisperx[514].start 13907.068
transcript.whisperx[514].end 13933.736
transcript.whisperx[514].text 那其實我們這個是獎勵各縣市政府建置地方區域或是廊道協同的智慧交通管理系統這個要清楚讓大家知道還有都市智慧道路的安全系統還有智慧交通的行動服務共享運具的平台建置還有跨運具無縫交通服務整合
transcript.whisperx[515].start 13934.736
transcript.whisperx[515].end 13960.551
transcript.whisperx[515].text 更重要的還有偏鄉或弱勢者的公共運輸服務推廣及運用大數據進行運輸的整合規劃等等這個智慧交通在這幾任的交通部長都視為是一個重要推動的交通政策那這個對於相關各縣市政府的補助是達到4.5億
transcript.whisperx[516].start 13962.532
transcript.whisperx[516].end 13989.849
transcript.whisperx[516].text 包含六都以及各縣市那其他剛才我也向大家報告這些針對各縣市所要補助的項目是什麼大家我認為這個比例算是應該要讓他通過啦是應該要讓他通過那其實講到重點是對於過去你們所做的這一些相關的補助是如何也必須要應該能夠清楚的說明
transcript.whisperx[517].start 13991.185
transcript.whisperx[517].end 14006.622
transcript.whisperx[517].text 在這邊我跟交通部再提示一下在過去不管藍綠的交通部長或是藍綠時期的交通部針對交通委員會所提的相關的預算審核
transcript.whisperx[518].start 14007.847
transcript.whisperx[518].end 14028.274
transcript.whisperx[518].text 在以往各局處都會積極的向各委員來做說明所以在審查預算之前委員大概都會知道這個預算問題在哪邊這個預算的用途它的編列到底是怎樣其實經過交通部的說明委員都會參佐實際的狀況來針對預算的刪減做一個重新的思考
transcript.whisperx[519].start 14034.136
transcript.whisperx[519].end 14054.711
transcript.whisperx[519].text 但是這一次,我看你們部本部啊,不整齊在這次都在補一些基本觀念的問題基本觀念的問題啦,我坦白說啦那真的是要大家交通部,請部長好好地督促各局處要對各委員的提案啊,要加強地進行溝通及說明,以上
transcript.whisperx[520].start 14055.469
transcript.whisperx[520].end 14076.613
transcript.whisperx[520].text 議員議員議員議員議員
transcript.whisperx[521].start 14078.725
transcript.whisperx[521].end 14089.921
transcript.whisperx[521].text 繼續處理109到118案。好那有關營業基金的部分那我們在這邊是不是請提案委員是不是做一個徵詢請林沛翔委員謝謝。針對桃園機場這個部分其實
transcript.whisperx[522].start 14094.227
transcript.whisperx[522].end 14117.665
transcript.whisperx[522].text 桃園機場不只是說我們第三航廈已經工程有延誕而且再包括說一二航廈基本上我記得我曾經諮詢過他們每半年就有一次可能漏水或者有一些實質上的缺陷所以說為確保預算有效使用尊潔政府預算一例開源節流所以我建議是凍結50%
transcript.whisperx[523].start 14120.487
transcript.whisperx[523].end 14138.816
transcript.whisperx[523].text 然後要提所謂的專案報告在6個月之內而且部長那個桃園機場的事情總是我們每個人都關心啊不論哪個黨派都關心我們的國家門戶然後一天到晚出狀況那我們先凍結50%重點是說總是要知道有什麼樣的改善吧
transcript.whisperx[524].start 14139.176
transcript.whisperx[524].end 14165.872
transcript.whisperx[524].text 不是說針對是桃園機場來針對什麼而是說國人也想知道總不能出個國然後一天到晚有人從天上掉下來還是一天到晚漏水還是一天到晚出現一些狀況那這個我們總是要知道說而且明年我記得沒有錯的話好像桃園機場的旅客量好像會大增到4500萬人以上我記得好像有這個數字4700萬人還是4500萬人以上我上次諮詢過那如果是這樣的話第三行下什麼時候使用
transcript.whisperx[525].start 14166.392
transcript.whisperx[525].end 14186.549
transcript.whisperx[525].text 使用的話會不會造成一樣的狀況?那怎麼樣去彌補一、二行下的缺陷?我想這件事情專案報告六個月之內我想這是不違規的狀況。以上。好,謝謝。還有沒有提案委員要遵循?何欣淳委員,謝謝。好,謝謝。本席提的是第118案。那一樣,我也很關心桃園國際機場的一個
transcript.whisperx[526].start 14192.654
transcript.whisperx[526].end 14217.363
transcript.whisperx[526].text 議員議員議員議員議員議員議員議員議員議員議員
transcript.whisperx[527].start 14217.823
transcript.whisperx[527].end 14245.458
transcript.whisperx[527].text 還有移工的合配比例包括合配之後移工的逃跑率非常之高這個東西到底有沒有對策對工程的進度影響又是如何我們希望陶希在這一方面尤其我們董事長是工程出身是不是能夠更專業的去督導
transcript.whisperx[528].start 14246.118
transcript.whisperx[528].end 14271.271
transcript.whisperx[528].text 議員議員議員議員議員議員
transcript.whisperx[529].start 14271.972
transcript.whisperx[529].end 14279.197
transcript.whisperx[529].text 此動議結束,大家可討論,但希望能有陶姬更精進管理措施的熟面報告。
transcript.whisperx[530].start 14287.465
transcript.whisperx[530].end 14308.602
transcript.whisperx[530].text 主席主席我的提案是第110案主要針對於台鐵公司當然這是要給台鐵公司的錢總共是209億多元那我這邊提動議員的原因是因為一年已經過去了台鐵公司在之前交通部長行政院長甚至台鐵公司的當時的
transcript.whisperx[531].start 14309.923
transcript.whisperx[531].end 14333.063
transcript.whisperx[531].text 議員議員議員議員
transcript.whisperx[532].start 14333.183
transcript.whisperx[532].end 14360.201
transcript.whisperx[532].text mentioned 17 項安全改革事項還有組織改革一項及營運改革一項尚未解除當然這只是書面報告一直沒有得到解決方案具體上面我們也發覺在民營化包括了這將近11個多月來也發生了大小公安事件人員處理不善的很多奇奇怪怪的事件
transcript.whisperx[533].start 14363.063
transcript.whisperx[533].end 14378.831
transcript.whisperx[533].text 議員議員
transcript.whisperx[534].start 14381.497
transcript.whisperx[534].end 14385.841
transcript.whisperx[534].text 第4目營業基金提議第115案針對台鐵公司營業所需基礎設施重置計劃提案凍結預算數5千萬元介於之前台北車站
transcript.whisperx[535].start 14404.741
transcript.whisperx[535].end 14408.783
transcript.whisperx[535].text 更新設置試行新型列車站務資訊看板,被民眾反映比原來舊版本更沒有那麼詳細。希望交通部針對台體公司未來全台新式列車資訊看板設置工程
transcript.whisperx[536].start 14427.013
transcript.whisperx[536].end 14444.118
transcript.whisperx[536].text 及TIDS自體設計與改善進度等等,然後提出書面報告後,使得動之。那針對第四幕營業基金這個部分,委員的提案都是凍結案。那凍結案的話,有提案凍結一億,還有五千萬的,
transcript.whisperx[537].start 14445.879
transcript.whisperx[537].end 14475.555
transcript.whisperx[537].text 議員議員議員議員議員議員議員議員
transcript.whisperx[538].start 14475.915
transcript.whisperx[538].end 14476.055
transcript.whisperx[538].text 議員主席
transcript.whisperx[539].start 14504.238
transcript.whisperx[539].end 14518.945
transcript.whisperx[539].text 當然這個東西國道基金的部分最主要是這個數位韌性的部分啦就是網路電纜的一個管道的部分那當然交通部有單位來溝通過但是還是沒有辦法說服我說為什麼數位韌性這件事情不是速發部
transcript.whisperx[540].start 14519.565
transcript.whisperx[540].end 14543.968
transcript.whisperx[540].text 議員議員議員議員議員
transcript.whisperx[541].start 14544.008
transcript.whisperx[541].end 14544.708
transcript.whisperx[541].text 委員會委員會委員會委員會委員會委員會
transcript.whisperx[542].start 14571.833
transcript.whisperx[542].end 14594.34
transcript.whisperx[542].text 當院大頭幫事務發布花這一筆錢這樣子好那我們請交通部說明是跟委員會報告齁那這個數位任性的部分他主要是在提供齁就是說國五道以南藉由國五的一個一個路廊的一個範圍齁來建設一個共同一個管道那我們只建管道未來的光南部分是數位部他去再做處理的一個出租但是
transcript.whisperx[543].start 14595.52
transcript.whisperx[543].end 14621.665
transcript.whisperx[543].text 租租的費用是我們的收益未來的話就是說他只要有那個光染進來的時候那我們會來跟他說租金來回饋到我們那個建設的一個費用你們這個租金辦法出來了沒有沒有辦法回本這是我們回本倒是比較難因為這主要部分對啊那就是我們在那個我們是依照公路用地使用費的一個規範那以後所有地方政府要做共同管線的時候是不是都可以請交通部幫忙出錢
transcript.whisperx[544].start 14622.554
transcript.whisperx[544].end 14633.192
transcript.whisperx[544].text 來跟委員報告這個是比較特殊因為要經要往宜蘭的部分就是國五的一個廊帶這比較特別這那個我們現在現有的管道這沒有辦法說服我啊這到哪裡都不是重點啊重點是組織機關應該是誰啊
transcript.whisperx[545].start 14635.772
transcript.whisperx[545].end 14655.068
transcript.whisperx[545].text 我們現在是不是就是說我們會來盡量來減少減少那個費率的部分那盡量能夠20年回本可不可以你們訂的費率20年回本我們來試著試試看那我希望這部分能夠下到決議之後我們交通部有關這個東西的收費標準是要能夠20年內回本
transcript.whisperx[546].start 14659.326
transcript.whisperx[546].end 14659.806
transcript.whisperx[546].text 國道公路建設基金-梁委員
transcript.whisperx[547].start 14678.626
transcript.whisperx[547].end 14704.884
transcript.whisperx[547].text 好那120案就不予處理了好那接下來我們處理第6目有關就是第121到123案有關都市大眾捷運系統建設計畫好那在這邊先說明122跟123案就是測案好那我們這樣子就是有121案那提案委員
transcript.whisperx[548].start 14708.697
transcript.whisperx[548].end 14733.782
transcript.whisperx[548].text 提案委員其實是林倩熙委員拜託我跟尤浩來提的那這個案子主要是針對說我們高雄環狀捷運的輕軌捷運設計的時候在大順路跟在大順路那一段有動線的規劃可能會可能有一些可能不足的地方而且針對安全性可能有一些疑慮
transcript.whisperx[549].start 14735.402
transcript.whisperx[549].end 14752.098
transcript.whisperx[549].text 所以特地想要說請交通部在三個月內提出專案報告然後再同意再繼續動之主要是因為說他這邊大順路這一段有動線上規劃跟安全性的問題以上好謝謝那是不是請交通部這邊做一個說明
transcript.whisperx[550].start 14754.597
transcript.whisperx[550].end 14768.155
transcript.whisperx[550].text 跟委員報告,林委員非常關心高雄輕軌存款以後大順路入口的問題就我們跟高雄市政府相關單位聯繫事實上他們現在也積極的去改善各個入口的一些動線的規劃跟標誌標線號誌的一個
transcript.whisperx[551].start 14772.099
transcript.whisperx[551].end 14796.103
transcript.whisperx[551].text 設置,即使它已經有一些成效,但我們會再跟高雄市政府相當,畢竟這個是他們的主管的一個業務,我們會持續的去了解高雄市政府改善的情形。很重要的也是要對民眾加強宣導,讓他知道經過路口的時候要注意哪些事情。那我們是不是具體建議凍結10%以提書面報告以上。
transcript.whisperx[552].start 14802.563
transcript.whisperx[552].end 14830.242
transcript.whisperx[552].text 其實你們應該跟是林倩琦委員解釋因為他是高雄高雄高雄那邊領委所以說我沒有跟委員說明過了可是他剛剛來的時候跟我講說他還是堅持說需要一個專案報告所以說這方面來講可能要可能是要說服林倩琦委員而不是我而且主題主題案其實是有號有委員那基本上來講倩琦委員是擔心說有什麼狀況所以特地要我留下來再去再去了解這個狀況所以這點來講我是堅持的
transcript.whisperx[553].start 14837.025
transcript.whisperx[553].end 14857.075
transcript.whisperx[553].text 謝謝各位關心山明區大順路有關輕軌交通的議題謝謝大家那有關於大順路的這些輕軌違規左轉的這個議題那其實我們在相關的高雄市交通的改善
transcript.whisperx[554].start 14858.796
transcript.whisperx[554].end 14885.215
transcript.whisperx[554].text 秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦桂大順路重要交通幹道秦�
transcript.whisperx[555].start 14885.955
transcript.whisperx[555].end 14893.379
transcript.whisperx[555].text 這個部分我們針對在目前的這種交通事故21起從8月到2024到8月有24起的這種21起的交通事故
transcript.whisperx[556].start 14901.082
transcript.whisperx[556].end 14918.66
transcript.whisperx[556].text 第一個我們要請地方政府請高雄市政府加強相關的交通的宣導這也就是我剛才一再向各位提起的有關於重大的交通建設以及改善工程以及相關的交通號誌
transcript.whisperx[557].start 14919.821
transcript.whisperx[557].end 14939.616
transcript.whisperx[557].text 議員議員議員議員
transcript.whisperx[558].start 14940.016
transcript.whisperx[558].end 14961.904
transcript.whisperx[558].text 這個部分我是建議我們會請高雄市政府因為我們終究不是高雄市議員我們是立法委員我們針對相關的大眾捷運系統的建設計畫這是違規左轉的議題怎麼會提到交通委員會來做討論呢那這個部分我做以上的說明
transcript.whisperx[559].start 14963.546
transcript.whisperx[559].end 14969.089
transcript.whisperx[559].text 李昆哲委員李昆哲委員特別關心在當地的一個交通設施包括它整個輕軌的部分大眾捷運的部分去做一個討論
transcript.whisperx[560].start 14983.337
transcript.whisperx[560].end 15003.827
transcript.whisperx[560].text 那當然說在這個部分來講除了就是剛才講的通通耗資跟這個宣導的部分那也因為林千祺委員他有提到那他那個區域還是要做一個整體的一個改善或是相關的一個規劃那才有助於那個地方在跟百貨商社李昆哲很關心高雄市的這個交通問題嘛
transcript.whisperx[561].start 15004.967
transcript.whisperx[561].end 15016.928
transcript.whisperx[561].text 那所以說本席也是希望說林俊傑委員他有提到說槓擊10%以及說希望在就是交通部的單位能夠提出爆發的部分還能夠盡量來協助完成謝謝
transcript.whisperx[562].start 15021.367
transcript.whisperx[562].end 15035.08
transcript.whisperx[562].text 李崑哲議員尊重召委的才是,我再一次的說明違規左轉,交通違國的議題在交通委員會來討論,然後要凍結相關的預算,還要提中案報告
transcript.whisperx[563].start 15036.221
transcript.whisperx[563].end 15052.603
transcript.whisperx[563].text 我們必須要了解我們的職位到底是什麼?要明白我們對於交通政策所扮演的角色是什麼?左轉違規在這裡要提相關預算的凍結還要專案報告謝謝大家了謝謝了
transcript.whisperx[564].start 15053.629
transcript.whisperx[564].end 15054.87
transcript.whisperx[564].text 主席主席主席
transcript.whisperx[565].start 15082.185
transcript.whisperx[565].end 15083.926
transcript.whisperx[565].text 則中央政府總預算案
transcript.whisperx[566].start 15097.976
transcript.whisperx[566].end 15111.726
transcript.whisperx[566].text 則中就是書面報告我們還是同意凍結10%10%是針對10%啦10%那書面OK啦但是最主要是也跟林千祺委員這邊跟交通委員會的委員能夠一併說明這樣子
transcript.whisperx[567].start 15113.827
transcript.whisperx[567].end 15123.613
transcript.whisperx[567].text 在這邊要再說明這個提案是針對6億8千5百40萬元這一個預算數的實盤這個科目就是高雄都會區輕軌運輸系統高雄環狀輕軌捷運建設計畫這個科目凍結10%提書面報告後時的凍支好謝謝接下來我們就處理這個決議案
transcript.whisperx[568].start 15143.004
transcript.whisperx[568].end 15143.224
transcript.whisperx[568].text 委員會主席
transcript.whisperx[569].start 15152.383
transcript.whisperx[569].end 15176.449
transcript.whisperx[569].text 好那我們剛剛保留的有關那個智慧運輸那個部分現在可以處理了那是不是請交通部這邊做一個一個充分的說明謝謝我說明一下跟各位委員們報告我們其實各縣市申請的這個金額其實都還蠻高的我們也有提供資料給大家來看差不多是10億多那我們當然目前我們也還沒核定那也還沒有過預算所以我們是希望至少要
transcript.whisperx[570].start 15176.869
transcript.whisperx[570].end 15206.869
transcript.whisperx[570].text 議員議員議員
transcript.whisperx[571].start 15207.009
transcript.whisperx[571].end 15208.31
transcript.whisperx[571].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[572].start 15221.881
transcript.whisperx[572].end 15244.76
transcript.whisperx[572].text 那你就就那這樣就不要凍結了好不好好那我們就做一個處理我們那是不是我我是不是建議一下啦吼國政委員因為這個都是要補助給各地方政府的來你聽我講完啦讓我建議一下啦吼就是說因為是給地方政府而且地方政府提出來需求遠比我們現在在審議算數高那所以呢為了這個
transcript.whisperx[573].start 15246.321
transcript.whisperx[573].end 15271.929
transcript.whisperx[573].text 請求各政黨我們所有的委員支持我們可以拙減但是不要到3000萬那麼多是拙減了2000萬也不要凍結好不好就這樣子啦好不好本來就國政委員跟其他委員大家幫忙一下對啦因為這些補助你看我們編的預算才4.5億各縣市政府現在剩下的就10億了
transcript.whisperx[574].start 15274.371
transcript.whisperx[574].end 15280.436
transcript.whisperx[574].text 盧昭惟補充這個案子針對這7.28億裡面剛剛有給這個表地方政府其實要的金額事實上是超過10億我們目前核定補助的金額6.21億
transcript.whisperx[575].start 15297.569
transcript.whisperx[575].end 15323.611
transcript.whisperx[575].text 那這個部分我覺得很奇怪那你核定錢不夠是用去年預算還是因為預算還沒有過我們也不敢先核啦有些核是核兩年一次也要核兩年所以就會拉長下去處理所以這個還是不一定的是吧核定完全不一定的要看我們這邊預算過多少那我現在是我有兩個問題第一個就既然還不確定我們可以委員大家來幫忙地方一下
transcript.whisperx[576].start 15324.292
transcript.whisperx[576].end 15349.514
transcript.whisperx[576].text 議員議員議員議員議員議員
transcript.whisperx[577].start 15349.684
transcript.whisperx[577].end 15370.52
transcript.whisperx[577].text 議員議員議員議員
transcript.whisperx[578].start 15370.66
transcript.whisperx[578].end 15375.625
transcript.whisperx[578].text 我真的很計較違犯費違犯費去年9100萬今年變1.94億啊 你說得過去嗎違犯費不要再扯地方政府了好不好但我知道不管說傳說的交通幫或者有一些學者他們做研究我們很恭喜嘛
transcript.whisperx[579].start 15388.377
transcript.whisperx[579].end 15406.984
transcript.whisperx[579].text 問題是說你這個錢多一億多你如果拿過來編給地方政府我就建議大家一毛不要三你這個細節部分4.5億變成5.5億給地方你委辦的計畫跟去年再多一點點而已我的想法就這樣阿如果不行的話你委辦費從9100多110倍
transcript.whisperx[580].start 15411.165
transcript.whisperx[580].end 15437.488
transcript.whisperx[580].text 地方政府你才多4千這個說不過去啦那如果要刪我們當然是指定刪違犯費我們不刪地方政府好不好但能不能調整能不能調整在預算的你們明細部分調整地方政府是515515那其他部分那我們就來討論可不可以你們說明一下好請部長說明應該是可以吧你可以嗎你要不要說明一下
transcript.whisperx[581].start 15439.06
transcript.whisperx[581].end 15463.517
transcript.whisperx[581].text 來啦說明清楚啦好那我們就科目自行調整就自行調整啦不是自行調整是那個自行調整必須是調整在委辦費裡面刪兩千萬啦對地方的繳補助不刪啦
transcript.whisperx[582].start 15466.826
transcript.whisperx[582].end 15466.946
transcript.whisperx[582].text 委員會主席
transcript.whisperx[583].start 15492.944
transcript.whisperx[583].end 15511.084
transcript.whisperx[583].text 119項
transcript.whisperx[584].start 15514.591
transcript.whisperx[584].end 15540.863
transcript.whisperx[584].text 一百一十九案 跟各位委員報告這個一百一十九案最後原來的提案最後倒數第二行開始那個原來齊妥式那個這樣改為未來使用收費費率應以二十年能回收成本辦理好這樣OK好那我們廖新祥委員同意同意好那我們就請政府就是遵照辦理好好接下來我們來處理主決議
transcript.whisperx[585].start 15543.084
transcript.whisperx[585].end 15563.46
transcript.whisperx[585].text 第124案遵照辦理然後第125案委員已經同意我們著作文字修正再倒數第二行改為加上資可行性就是補貼電費資可行性是委員有同意好125案有
transcript.whisperx[586].start 15565.578
transcript.whisperx[586].end 15565.598
transcript.whisperx[586].text 126案
transcript.whisperx[587].start 15576.448
transcript.whisperx[587].end 15600.024
transcript.whisperx[587].text 請教中部先說明目前那個針對這18起的霸凌事件那有做出檢討的機制那實際上可以再提供書面資料嗎可以再提供書面資料那還有這18起的他的調查的內容你們有做調查嗎有做調查OK那請再提供好OK改書面報告好那26126案改書面報告好127案遵照辦理好128案也是建議改書面
transcript.whisperx[588].start 15607.328
transcript.whisperx[588].end 15612.009
transcript.whisperx[588].text 128案同意改書面129案同意改書面當時在交通委員會的時候有向我們交通部提出希望可以來做盤點那這邊後續有沒有再做盤點
transcript.whisperx[589].start 15628.183
transcript.whisperx[589].end 15647.056
transcript.whisperx[589].text 議員議員
transcript.whisperx[590].start 15647.396
transcript.whisperx[590].end 15647.416
transcript.whisperx[590].text 130案
transcript.whisperx[591].start 15665.778
transcript.whisperx[591].end 15678.67
transcript.whisperx[591].text 這個也是一樣委員同意把專案改成書面好我們就改書面報告131案一樣也是專案改書面好改書面報告再來132案遵照辦理好133案遵照辦理134案遵照辦理135案
transcript.whisperx[592].start 15688.772
transcript.whisperx[592].end 15706.202
transcript.whisperx[592].text 這個建議文字修正就是請交通部研議針對這個通行民眾提供補助措施。好,那個陳穎委員有同意。再來136案。 遵照。遵照辦理。好,137案。 遵照辦理。好,138案。 遵照辦理。139案。 遵照辦理。
transcript.whisperx[593].start 15714.195
transcript.whisperx[593].end 15736.336
transcript.whisperx[593].text 一百四十案也是一樣這個建議把專案改成書面好我們一百四十案改書面報告好謝謝再來一百四十一案遵照辦理好謝謝再來一百四十二案遵照辦理好一百四十三案遵照辦理一百四十四案遵照辦理一百四十五案遵照辦理一百四十六案也是一樣這個專案建議改成書面
transcript.whisperx[594].start 15738.02
transcript.whisperx[594].end 15739.801
transcript.whisperx[594].text 議員同意改書面報告議員同意改書面報告
transcript.whisperx[595].start 15767.439
transcript.whisperx[595].end 15794.719
transcript.whisperx[595].text 一百五十五案 遵照辦理一百五十六案 遵照辦理一百五十七案 遵照辦理還有一案就是我們陳雪生委員的案這是一百五十七之一案這一案請交通部這邊有沒有要說明一百五十七之一陳雪生委員的案子
transcript.whisperx[596].start 15796.271
transcript.whisperx[596].end 15816.613
transcript.whisperx[596].text 議員議員議員議員議員議員
transcript.whisperx[597].start 15818.91
transcript.whisperx[597].end 15821.332
transcript.whisperx[597].text 本席補充宣告,針對智慧運輸系統發展建設計畫科目決議3減2000萬,科目自行調整
transcript.whisperx[598].start 15835.026
transcript.whisperx[598].end 15857.227
transcript.whisperx[598].text 議員議員議員議員
transcript.whisperx[599].start 15859.284
transcript.whisperx[599].end 15864.63
transcript.whisperx[599].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建
transcript.whisperx[600].start 15880.552
transcript.whisperx[600].end 15885.896
transcript.whisperx[600].text 一、繼續審查114年度中央政府總預算案附屬單位預算一、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[601].start 15923.089
transcript.whisperx[601].end 15945.405
transcript.whisperx[601].text 二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114
transcript.whisperx[602].start 15953.353
transcript.whisperx[602].end 15978.276
transcript.whisperx[602].text 二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。
transcript.whisperx[603].start 15981.745
transcript.whisperx[603].end 16004.062
transcript.whisperx[603].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建
transcript.whisperx[604].start 16006.744
transcript.whisperx[604].end 16026.179
transcript.whisperx[604].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[605].start 16028.641
transcript.whisperx[605].end 16046.122
transcript.whisperx[605].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[606].start 16048.78
transcript.whisperx[606].end 16054.402
transcript.whisperx[606].text 所以還有繼續縱持它嗎?對不對?就是原來縱持它還是原來的?對多減幾千?兩千萬而已
transcript.whisperx[607].start 16075.289
transcript.whisperx[607].end 16085.68
transcript.whisperx[607].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[608].start 16101.636
transcript.whisperx[608].end 16116.49
transcript.whisperx[608].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[609].start 16132.916
transcript.whisperx[609].end 16145.13
transcript.whisperx[609].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[610].start 16161.167
transcript.whisperx[610].end 16164.971
transcript.whisperx[610].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[611].start 16182.459
transcript.whisperx[611].end 16196.329
transcript.whisperx[611].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[612].start 16201.254
transcript.whisperx[612].end 16208.089
transcript.whisperx[612].text 二、繼續審查114年度中央政府總預算案附屬單位預算。
transcript.whisperx[613].start 16216.274
transcript.whisperx[613].end 16237.86
transcript.whisperx[613].text 二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預
transcript.whisperx[614].start 16240.23
transcript.whisperx[614].end 16260.803
transcript.whisperx[614].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[615].start 16272.671
transcript.whisperx[615].end 16293.761
transcript.whisperx[615].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[616].start 16301.273
transcript.whisperx[616].end 16328.211
transcript.whisperx[616].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算。
transcript.whisperx[617].start 16339.434
transcript.whisperx[617].end 16340.638
transcript.whisperx[617].text 公路基金-國道公路建公路基金
transcript.whisperx[618].start 16348.951
transcript.whisperx[618].end 16368.281
transcript.whisperx[618].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[619].start 16373.37
transcript.whisperx[619].end 16401.207
transcript.whisperx[619].text 二、繼續審查114年度中央政府總預算案附屬單位預算公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案
transcript.whisperx[620].start 16408.053
transcript.whisperx[620].end 16423.708
transcript.whisperx[620].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[621].start 16431.425
transcript.whisperx[621].end 16460.754
transcript.whisperx[621].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金
transcript.whisperx[622].start 16469.411
transcript.whisperx[622].end 16496.641
transcript.whisperx[622].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算。
transcript.whisperx[623].start 16506.169
transcript.whisperx[623].end 16513.617
transcript.whisperx[623].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[624].start 16590.932
transcript.whisperx[624].end 16601.327
transcript.whisperx[624].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建
transcript.whisperx[625].start 16705.794
transcript.whisperx[625].end 16726.965
transcript.whisperx[625].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[626].start 16757.005
transcript.whisperx[626].end 16773.212
transcript.whisperx[626].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建
transcript.whisperx[627].start 16794.377
transcript.whisperx[627].end 16817.238
transcript.whisperx[627].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[628].start 16817.91
transcript.whisperx[628].end 16842.038
transcript.whisperx[628].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[629].start 16849.966
transcript.whisperx[629].end 16865.848
transcript.whisperx[629].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[630].start 16879.422
transcript.whisperx[630].end 16903.007
transcript.whisperx[630].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[631].start 16915.23
transcript.whisperx[631].end 16923.811
transcript.whisperx[631].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[632].start 16945.973
transcript.whisperx[632].end 16971.117
transcript.whisperx[632].text 二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114
transcript.whisperx[633].start 16974.599
transcript.whisperx[633].end 16999.934
transcript.whisperx[633].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[634].start 16999.974
transcript.whisperx[634].end 17026.76
transcript.whisperx[634].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[635].start 17038.339
transcript.whisperx[635].end 17052.626
transcript.whisperx[635].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[636].start 17068.66
transcript.whisperx[636].end 17072.065
transcript.whisperx[636].text 公路基金-國道公路建基金-國道公路建基金-國道公路建基金
transcript.whisperx[637].start 17087.124
transcript.whisperx[637].end 17104.048
transcript.whisperx[637].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[638].start 17116.51
transcript.whisperx[638].end 17120.15
transcript.whisperx[638].text 公路建公路建公路建公路
transcript.whisperx[639].start 17129.889
transcript.whisperx[639].end 17152.158
transcript.whisperx[639].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[640].start 17159.65
transcript.whisperx[640].end 17177.854
transcript.whisperx[640].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[641].start 17192
transcript.whisperx[641].end 17200.029
transcript.whisperx[641].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建
transcript.whisperx[642].start 17211.733
transcript.whisperx[642].end 17224.724
transcript.whisperx[642].text 二、繼續審查114年度中央政府總預算案附屬單位預算基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[643].start 17229.016
transcript.whisperx[643].end 17241.144
transcript.whisperx[643].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[644].start 17248.669
transcript.whisperx[644].end 17261.258
transcript.whisperx[644].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[645].start 17276.829
transcript.whisperx[645].end 17296.357
transcript.whisperx[645].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[646].start 17302.088
transcript.whisperx[646].end 17328.14
transcript.whisperx[646].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[647].start 17331.852
transcript.whisperx[647].end 17357.28
transcript.whisperx[647].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[648].start 17363.063
transcript.whisperx[648].end 17390.839
transcript.whisperx[648].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算。
transcript.whisperx[649].start 17392.073
transcript.whisperx[649].end 17420.615
transcript.whisperx[649].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[650].start 17422.892
transcript.whisperx[650].end 17448.941
transcript.whisperx[650].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算。
transcript.whisperx[651].start 17455.531
transcript.whisperx[651].end 17471.475
transcript.whisperx[651].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[652].start 17591.235
transcript.whisperx[652].end 17618.284
transcript.whisperx[652].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金
transcript.whisperx[653].start 17628.228
transcript.whisperx[653].end 17638.832
transcript.whisperx[653].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[654].start 17645.338
transcript.whisperx[654].end 17670.496
transcript.whisperx[654].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[655].start 17672.619
transcript.whisperx[655].end 17702.112
transcript.whisperx[655].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營
transcript.whisperx[656].start 17708.541
transcript.whisperx[656].end 17728.069
transcript.whisperx[656].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[657].start 17738.456
transcript.whisperx[657].end 17742.579
transcript.whisperx[657].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[658].start 17749.48
transcript.whisperx[658].end 17752.002
transcript.whisperx[658].text 市長市長市長市長市長市長市長市長
transcript.whisperx[659].start 17772.58
transcript.whisperx[659].end 17779.106
transcript.whisperx[659].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[660].start 17800.024
transcript.whisperx[660].end 17801.065
transcript.whisperx[660].text 市長市長市長市長市長市長
transcript.whisperx[661].start 17824.718
transcript.whisperx[661].end 17827.959
transcript.whisperx[661].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[662].start 17847.517
transcript.whisperx[662].end 17867.91
transcript.whisperx[662].text 議員議員議員議員議員
transcript.whisperx[663].start 17868.89
transcript.whisperx[663].end 17880.853
transcript.whisperx[663].text 國道公路建公路建平安應該公聽會會開公聽會會開 公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽會會開公聽
transcript.whisperx[664].start 17894.237
transcript.whisperx[664].end 17918.278
transcript.whisperx[664].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[665].start 17928.854
transcript.whisperx[665].end 17952.311
transcript.whisperx[665].text 好,那我們現在繼續開會那我們接下來處理交通部公路局及所屬114年度單位預算那我們先處理第一案有關稅入、規費收入公路局及所屬使用規費收入好,那這邊提案委員林俊憲委員是不是要說明?好,謝謝請林俊憲委員
transcript.whisperx[666].start 17955.271
transcript.whisperx[666].end 17981.85
transcript.whisperx[666].text 謝謝主席各位同仁我主要是說我們使用貴賓收入的服務費編列12億5000萬雖然比上一年度就比今年還多了將近1億但是你看過去3年都是135%、139%、148%所以我覺得是不是可以再積極一點建議此項收入明年增列1億元以上謝謝
transcript.whisperx[667].start 17983.424
transcript.whisperx[667].end 18007.857
transcript.whisperx[667].text 好,那這部分是不是請交通部這邊說明?是,也跟委員報告,因為這個稅務的部分,它是有一些主要是來自那個標牌的發售,所以它有一點不確定性,不過委員的這個給我們的建議,我想我們會來努力,那是不是也跟委員報告,因為有跟委員辦公室提到,就是增列1億元的部分,我們是不是努力把它增列5千萬這樣子?
transcript.whisperx[668].start 18010.692
transcript.whisperx[668].end 18012.374
transcript.whisperx[668].text 第二案提案委員保留
transcript.whisperx[669].start 18036.721
transcript.whisperx[669].end 18039.877
transcript.whisperx[669].text 那麼就先處理第三到第七案業務費及委辦費
transcript.whisperx[670].start 18057.188
transcript.whisperx[670].end 18070.196
transcript.whisperx[670].text 第3至7案其中第4案許智傑、吳立華委員提案第5案許智傑、吳立華委員提案第7案許智傑、吳立華委員提案改組決議
transcript.whisperx[671].start 18084.721
transcript.whisperx[671].end 18089.085
transcript.whisperx[671].text 提案委員提案委員提案委員提案委員提案委員提案委員
transcript.whisperx[672].start 18111.886
transcript.whisperx[672].end 18111.906
transcript.whisperx[672].text 第8項
transcript.whisperx[673].start 18118.269
transcript.whisperx[673].end 18145.474
transcript.whisperx[673].text 公務員報告我們相關的做這個宣導其實主要都是因為公路局是做掌管這個公路所以像大概我們的有新闢的公路或者是比如說這個公路受到這個損害的時候其實都要做相關的一個那個比如說改道或者是這個封閉的一個說明那我們的很多的這一個在我們全國各地區的5區的洋務工程分局主要的其實都是跟景廣
transcript.whisperx[674].start 18146.334
transcript.whisperx[674].end 18175.727
transcript.whisperx[674].text 做相關的一個合作所以相關的一個這個計畫都是屬於就是這個道路的一個宣導作用你沒有意見那我們就是凍結好不好我們每一組建設級業務宣導費我們就凍結10%十分之一然後提書面報告後使得凍支我們8到9案就做這樣子的一個處理謝謝那接下來我們就處理那個10到11案
transcript.whisperx[675].start 18176.547
transcript.whisperx[675].end 18177.889
transcript.whisperx[675].text 十到十一案已經改組決議了。
transcript.whisperx[676].start 18204.25
transcript.whisperx[676].end 18220.217
transcript.whisperx[676].text 主席、各位同仁本屆第32案在跟部長諮詢的時候也有特別提出來就是我們發現航空業者進出機場他去載運航空燃料油
transcript.whisperx[677].start 18221.497
transcript.whisperx[677].end 18223.199
transcript.whisperx[677].text 一、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[678].start 18234.195
transcript.whisperx[678].end 18260.407
transcript.whisperx[678].text 我們發現用那種小貨車用那種白鐵現在白鐵一個攤子在機場載航空用油這種危險物品而且是經過媒體報導踢爆以後才讓外界知道已經用這種危險的方式載運油已經很長一段時間了可見這個管理有很大的缺失這個因為
transcript.whisperx[679].start 18262.468
transcript.whisperx[679].end 18284.915
transcript.whisperx[679].text 臨時通勤證是跟我們公路局所申請的所以本席在第32案是凍結十分之一這是關於公路建立業務的一般事務費我們公路局應該針對在意危險物品的載重上限還有檢討在意危險物品的車輛是否有申請臨時通勤證要有一個查核機制而且因為同樣是部裡面的單位
transcript.whisperx[680].start 18286.476
transcript.whisperx[680].end 18288.998
transcript.whisperx[680].text 三、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[681].start 18303.172
transcript.whisperx[681].end 18308.974
transcript.whisperx[681].text 公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路
transcript.whisperx[682].start 18327.039
transcript.whisperx[682].end 18342.807
transcript.whisperx[682].text 議員議員議員議員
transcript.whisperx[683].start 18343.154
transcript.whisperx[683].end 18359.615
transcript.whisperx[683].text 但是,我們也查到全國機車教訓班嚴重不足例如,台東縣只有一家有的地方是分布很不平均,像台南台南只有五家,全部集中在西南地區,西北地區都沒有
transcript.whisperx[684].start 18360.717
transcript.whisperx[684].end 18379.506
transcript.whisperx[684].text 那其中全國的駕訓班87家主要都集中在都會區像新北、桃園、台中市所以這樣就降低民眾考照的意願因為有的地方是根本沒有有的是很不方便所以這個獎補助會補助民眾去考去上駕機車駕訓班考機車駕照用不完
transcript.whisperx[685].start 18382.824
transcript.whisperx[685].end 18399.375
transcript.whisperx[685].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[686].start 18412.483
transcript.whisperx[686].end 18429.856
transcript.whisperx[686].text 一、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建一、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建一、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[687].start 18442.125
transcript.whisperx[687].end 18458.268
transcript.whisperx[687].text 議員議員議員議員議員議員議員
transcript.whisperx[688].start 18458.528
transcript.whisperx[688].end 18463.112
transcript.whisperx[688].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[689].start 18479.653
transcript.whisperx[689].end 18484.655
transcript.whisperx[689].text 林佩祥、林國成、魯明哲、張偉這幾個案子裡面我提的是28案跟37案那其實28案的話是徐欣怡委員拜託我提的不過我也深感認同因為說
transcript.whisperx[690].start 18499.619
transcript.whisperx[690].end 18515.386
transcript.whisperx[690].text 國道客運則是跨縣市的公車。國道客運跨縣市公車的時候,不是只有基隆,包括新竹,包括很多地方都有這個狀況,就是收入不付出或班次路線無法符合民眾期待。所以在這邊本案提的說是凍結該項預算50%,
transcript.whisperx[691].start 18518.007
transcript.whisperx[691].end 18535.852
transcript.whisperx[691].text 希望交通部督促公路局全面盤點跨縣市以及偏鄉大眾運輸班次等,讓民眾可以把他們迫切的交通需求解決,而且提出通案檢討改善方案,落實執行後向本委員會提出專案報告並同意。
transcript.whisperx[692].start 18536.492
transcript.whisperx[692].end 18542.376
transcript.whisperx[692].text 第三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部總預算案附屬單位預算非營業部分關於交通部公路建
transcript.whisperx[693].start 18566.329
transcript.whisperx[693].end 18593.74
transcript.whisperx[693].text 考核制度上面似乎有制度上的設計不足跟審查適當的地方所以在這邊凍結預算2000萬以上謝謝林國成委員接下來要請林國成委員好 謝謝主席我想本席是提二十案跟二十一案跟二十二案那這重點重點看起來因為我刪得很兇就是要刪兩億
transcript.whisperx[694].start 18595.04
transcript.whisperx[694].end 18623.621
transcript.whisperx[694].text 那主要原因啊主要的原因是交通部車輛行車鑑定、復譽以及鑑定的流程啊非常那個非常粗糙然後啊不經真實啊這幾例有一個泰國移工然後他們只看相片看一看就做出兩種一種是嚴重一種是不嚴重我也感覺到很奇怪
transcript.whisperx[695].start 18624.735
transcript.whisperx[695].end 18654.735
transcript.whisperx[695].text 議員議員議員議員議員
transcript.whisperx[696].start 18656.296
transcript.whisperx[696].end 18670.501
transcript.whisperx[696].text 至於多少可以考慮另外我21案可以用凍結之方式凍結方式第二十二案的部分剛才我跟進縣也已經談過這個潮貫車給你們這麼多預算你們也是做不好車禍一年七十幾件
transcript.whisperx[697].start 18681.476
transcript.whisperx[697].end 18711.459
transcript.whisperx[697].text 議員議員議員議員
transcript.whisperx[698].start 18711.636
transcript.whisperx[698].end 18711.976
transcript.whisperx[698].text 主席主席主席
transcript.whisperx[699].start 18734.053
transcript.whisperx[699].end 18757.841
transcript.whisperx[699].text 議員議員議員議員
transcript.whisperx[700].start 18757.961
transcript.whisperx[700].end 18783.05
transcript.whisperx[700].text 公共運輸永續及交通平權計劃是為期4年的一個計劃我們希望你還是要說明的更詳盡一點尤其對於偏遠路線的一個虧損永續經營這很有趣因為現在這個不管是客運公車業者不斷的退場我看到快要斷頭了但是所以你們要怎麼樣阻止這樣一個頹勢那我這邊也是提凍結10%
transcript.whisperx[701].start 18789.193
transcript.whisperx[701].end 18791.954
transcript.whisperx[701].text 六十一案客運車輛電動化推動計畫部分縣市落後不少
transcript.whisperx[702].start 18807.382
transcript.whisperx[702].end 18826.825
transcript.whisperx[702].text 簽缺相關設備維修的相關的廠商所以在這裡要如何協助客運業與車廠設備配合這樣才能夠全面的加速進度那這個部分這一案我可以改成主決議了以上說明好 謝謝魯明爪召委接下來邀請黃建豪委員
transcript.whisperx[703].start 18827.628
transcript.whisperx[703].end 18849.992
transcript.whisperx[703].text 好謝謝召委那在這個上下午有四個案子都是屬於凍結那當然凍結是希望你們把事情做好一點嘛那第一個當然還是一樣偽造車牌部分跟魯明哲委員一樣啊其實就是之前已經排了一些相關的審查然後我們這次我提了凍結5000萬希望說你們能夠盡快的來立法因為一直提說要提出相關修法那我們希望這個進度透過預算凍結的方式來督促說
transcript.whisperx[704].start 18850.452
transcript.whisperx[704].end 18852.234
transcript.whisperx[704].text 委員會主管交通部主管交通部主管交通部
transcript.whisperx[705].start 18870.896
transcript.whisperx[705].end 18875.577
transcript.whisperx[705].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[706].start 18888.421
transcript.whisperx[706].end 18902.948
transcript.whisperx[706].text 現在很多的政策業務面來講應該都能夠電子化所以說有沒有必要還是要花這麼多錢去郵寄我覺得這是你們需要去檢討的如果法令的話法令可不可以修改以現在社會來講很多人反而寄給他這個困擾
transcript.whisperx[707].start 18903.968
transcript.whisperx[707].end 18929.195
transcript.whisperx[707].text 因為他的住、他的居住地跟他的工作地或他的戶籍地可能都不一樣所以如果能夠透過電子的方式可能手機簡訊也好或是email或其他各種形式讓他能夠去去繳交費用或是通知他這個牌照稅啊或是計然稅等等的不一定要使用這個郵寄這我覺得說在電子化政府部分我希望在這個項目下你們能夠來增進一點然後還有一個是再來是提到公車的部分
transcript.whisperx[708].start 18930.333
transcript.whisperx[708].end 18931.234
transcript.whisperx[708].text 此外,此外,此外,此外,此外,此外,此外,此外,此外,此外
transcript.whisperx[709].start 18949.432
transcript.whisperx[709].end 18954.699
transcript.whisperx[709].text 公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路公路
transcript.whisperx[710].start 18966.434
transcript.whisperx[710].end 18986.503
transcript.whisperx[710].text 但是現階段正在就業的人大概有3000多人所以我想這是個非常懸殊的比例所以我們希望把這個人力缺口補上不然如果國道客運公車業者一直在減班在砍的話我想對於推動整個臺灣整個大中醫書是個很大的傷害啦那最後一個是六十案六十案的部分也是在電動車的補助上面這個凍結我是凍提10億5000萬
transcript.whisperx[711].start 18989.504
transcript.whisperx[711].end 19005.698
transcript.whisperx[711].text 當然這個公路局來溝通這個數字可以在大家可以討論一下不一定要這麼多那我這個15000萬是原因原因這個原因是不是來自於台中市的退出這個營業業者電動車退出營業者的數量的數字到底補助多少錢是合理的好因為
transcript.whisperx[712].start 19007.803
transcript.whisperx[712].end 19027.445
transcript.whisperx[712].text 電動巴士現階段它就是比柴油巴士來的貴但是我們政策上又希望業者能夠多採購電動巴士那正在政策有這樣的方向來講的話等於業者被迫他必須去買電動車那買不起的話他就乾脆倒閉不做了所以我想這對這個市區公車來講也是很大的傷害所以補助多少錢或是政策上要怎麼調整
transcript.whisperx[713].start 19028.246
transcript.whisperx[713].end 19030.468
transcript.whisperx[713].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建
transcript.whisperx[714].start 19049.254
transcript.whisperx[714].end 19072.648
transcript.whisperx[714].text 謝謝黃建豪委員接下來邀請林俊憲委員林俊憲之後邀請徐富奎委員感謝主席各位同仁北京第一第五十案是公路和監理業務裡面的公路公共運輸所以這筆預算有53億主要是補助我們每一個縣市的各縣市的市區汽車客運業的一個補貼的那個補助
transcript.whisperx[715].start 19075.489
transcript.whisperx[715].end 19097.8
transcript.whisperx[715].text 補助大概分幾個原則第一個就是你地方政府的財力分三、四、五級例如台南市就分配在第三級可能直轄市第二個就是上限金額上限補助上限每個縣市上限是兩億但是它裡面有一個規則我覺得很不合理就是它補助金額不能超過你前一年核定的金額
transcript.whisperx[716].start 19099.048
transcript.whisperx[716].end 19101.528
transcript.whisperx[716].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[717].start 19126.773
transcript.whisperx[717].end 19142.979
transcript.whisperx[717].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營
transcript.whisperx[718].start 19155.163
transcript.whisperx[718].end 19179.938
transcript.whisperx[718].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金
transcript.whisperx[719].start 19181.786
transcript.whisperx[719].end 19184.188
transcript.whisperx[719].text 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路局及所屬單位預算
transcript.whisperx[720].start 19210.383
transcript.whisperx[720].end 19211.125
transcript.whisperx[720].text 徐副魁委員發言
transcript.whisperx[721].start 19218.225
transcript.whisperx[721].end 19237.612
transcript.whisperx[721].text 謝謝主席本期提出12到第15個案子共4個案子那12案是針對我們要達成2050年近年排放的目標公務局推動這個電動公車的政策但截至今年8月份我們目前的電動大客車的數量是1846輛距離這個我們今年底的這個計畫目標3400輛還有一個落差那也沒辦法滿足我們市場的需求
transcript.whisperx[722].start 19246.335
transcript.whisperx[722].end 19262.541
transcript.whisperx[722].text 而且截至我們今年8月份我們購車的補助款4億1千多萬佔全營的執行率大概只有17%那執行率偏低那本省市要求我們交通部要檢討一下我們這個補助的一個目標跟執行的方式
transcript.whisperx[723].start 19263.361
transcript.whisperx[723].end 19280.066
transcript.whisperx[723].text 十三案是針對我們這個下鄉考照的部分因為這個屏東縣服務院遼闊那因為我們現在目前推動的這個下鄉考照的政策還不夠落實所以造成這個鄉親的不便那另外針對我們這個監理站在深藏朋友考照的時候
transcript.whisperx[724].start 19280.766
transcript.whisperx[724].end 19281.206
transcript.whisperx[724].text 第11公路法第42條準則
transcript.whisperx[725].start 19310.094
transcript.whisperx[725].end 19312.136
transcript.whisperx[725].text 未來交通部應該積極確保未來運價調整,消費者意見納入參考,避免把運價轉嫁給消費者,造成消費頻率影響到外送產業。本席提議凍結5千萬
transcript.whisperx[726].start 19329.112
transcript.whisperx[726].end 19342.221
transcript.whisperx[726].text 第15個案子是針對我們2050年一個淨零排碳一個路徑的規劃我們市售電動機車的比例到2030年要達到35%2035年要達到70%到2040年要達成100%新售機車電動化的目標因為目前依憑中間來講我們有33個鄉鎮但是只有
transcript.whisperx[727].start 19353.189
transcript.whisperx[727].end 19370.079
transcript.whisperx[727].text 只有22個縣市有這個電動機車掛牌的一個據點那其中10個是位於屏東市那有很多的鄉鎮都沒有設這個相關的一個掛牌據點造成民眾的不便所以這部分本席也要求這個先凍結500萬那請公路局針對這個偏鄉的一個電動機車掛牌一個據點的計畫能夠予以改善以上
transcript.whisperx[728].start 19379.026
transcript.whisperx[728].end 19386.451
transcript.whisperx[728].text 謝謝徐副委員那接下來邀請陳雪生委員發言那陳雪生委員發言之後請李坤澤委員那接續是何欣淳委員謝謝
transcript.whisperx[729].start 19387.871
transcript.whisperx[729].end 19409.078
transcript.whisperx[729].text 主席我的案子是58到68案客運車輛電動化推動計畫還有一些業務費那麼馬祖大橋大概已經6年到7年了從可行性評估然後交通部也編列了一億五千多萬做綜合規劃
transcript.whisperx[730].start 19413.837
transcript.whisperx[730].end 19433.762
transcript.whisperx[730].text 那麼一直到現在,也到國發會,國發會那邊也給他送到英國去做第三方的技術認證,也都同意了蔡英文總統的時候答應的賴清德總統當行政院長的時候,還快馬加鞭的把這個綜合計畫給他送出去
transcript.whisperx[731].start 19435.222
transcript.whisperx[731].end 19461.59
transcript.whisperx[731].text 那麼已經六七年了那麼到現在沒有任何的回應我在交通委員會的質詢台上面大聲的幾乎每一次幾乎都提到馬祖大小所以我覺得效率非常的低落行或是不行起碼有個交代嘛不要吊在辦公室中活不活死不死讓我很難過了所以這一個計畫58到68
transcript.whisperx[732].start 19464.198
transcript.whisperx[732].end 19489.256
transcript.whisperx[732].text 我主張三點一半二分之一一共是18.8億如果當然保留一點彈性如果交通部長沒辦法處理的話我們願意送政黨協商好不好主要就是馬祖大橋要給我一個回應好不好謝謝以上好謝謝陳雪生委員接下來邀請李崑澤委員發言
transcript.whisperx[733].start 19495.267
transcript.whisperx[733].end 19498.432
transcript.whisperx[733].text 第43案公路公共運輸計畫編列預算達到53億元
transcript.whisperx[734].start 19504.266
transcript.whisperx[734].end 19505.947
transcript.whisperx[734].text 計劃114年度新興計劃114年至117年計劃總經費200億元計劃目標、預計成效及過往相類似計劃辦理成效
transcript.whisperx[735].start 19528.671
transcript.whisperx[735].end 19555.532
transcript.whisperx[735].text 第59案客運車輛電動化推動計劃編列預算37億。客運車輛電動化是一個重要的政策。但是以往各地方政府推動的速率不一。2030年是不是能達到全面汰換?其實尚未可知。
transcript.whisperx[736].start 19556.653
transcript.whisperx[736].end 19564.559
transcript.whisperx[736].text 那依舊各地方政府推動的汰範來加強協助等一下也請一併說明以上好接下來請何欣淳委員好謝謝趙薇本席提出第26案還有後等一下再一一說明先講第26案26案其實在這個
transcript.whisperx[737].start 19581.952
transcript.whisperx[737].end 19592.357
transcript.whisperx[737].text 科目是有關公路局監理業務管理總共預算數16億多我本人是提案要凍結3000萬為什麼呢?其實還是關係到我早上上午在關心的這個高齡駕駛的問題尤其針對75歲以上的高齡者這個換照的制度我們現在施行到現在是不是應該還要再重新的來檢討調整
transcript.whisperx[738].start 19610.845
transcript.whisperx[738].end 19631.783
transcript.whisperx[738].text 議員議員議員
transcript.whisperx[739].start 19632.203
transcript.whisperx[739].end 19651.975
transcript.whisperx[739].text 護照實質效用及實質要求實質是否認知必須遵守交通法規及其體能、體力、身體健康及道路規則的法規制度變革後,他到底有沒有收到、認知到這樣的一個變革。
transcript.whisperx[740].start 19654.677
transcript.whisperx[740].end 19660.661
transcript.whisperx[740].text 關於交通部主管交通作業基金-國道公路建關於交通部主管交通作業基金-國道公路建
transcript.whisperx[741].start 19678.831
transcript.whisperx[741].end 19706.527
transcript.whisperx[741].text 議員議員議員議員議員議員
transcript.whisperx[742].start 19706.527
transcript.whisperx[742].end 19726.749
transcript.whisperx[742].text 議員議員議員議員議員議員
transcript.whisperx[743].start 19726.98
transcript.whisperx[743].end 19749.298
transcript.whisperx[743].text 第三、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建第三、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建第三、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建第三、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建第三、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建第三、繼續審查114年度中央政府總預算案關於交通部主管交通部主管交通部主管交通部主管交通部
transcript.whisperx[744].start 19757.424
transcript.whisperx[744].end 19762.547
transcript.whisperx[744].text 公路公共運輸計畫公路公共運輸計畫公路公共運輸計劃
transcript.whisperx[745].start 19771.992
transcript.whisperx[745].end 19792.549
transcript.whisperx[745].text 最主要的是我們都關心公共運輸計畫補助給各地方政府以台中市來講對不起我必須要再補充說明台中市最近幾年常常發生公車的問題公車公共運輸裡面第一個是偏鄉路線
transcript.whisperx[746].start 19793.49
transcript.whisperx[746].end 19809.497
transcript.whisperx[746].text 議員議員議員議員
transcript.whisperx[747].start 19810.177
transcript.whisperx[747].end 19832.73
transcript.whisperx[747].text 稍減班次、調整班次甚至拖班很多狀況也間接直接的影響到偏鄉路線的一個行駛公共運輸的問題因為我們中央有補助給地方政府相關的計劃預算所以我是希望能夠拙減一部分然後能夠來請交通部給予書面
transcript.whisperx[748].start 19836.732
transcript.whisperx[748].end 19858.08
transcript.whisperx[748].text 議員議員議員議員議員
transcript.whisperx[749].start 19858.64
transcript.whisperx[749].end 19883.598
transcript.whisperx[749].text 綠色運輸落實以及人本交通平權等等的理念那也希望在我的書面報告裡面交通委員會給我的書面交通部給我的書面報告裡面希望也能夠提到那最後還有一個第三案是65案那也是在這個客運車輛的電動化的一個推動計畫裡面我是希望能夠
transcript.whisperx[750].start 19885.339
transcript.whisperx[750].end 19885.679
transcript.whisperx[750].text 則以凍結而以。
transcript.whisperx[751].start 19903.685
transcript.whisperx[751].end 19908.728
transcript.whisperx[751].text 公路局監理業務管理第31案主要是針對加強車牌防偽設計這個部分我們希望交通部要嚴謹一個更有效的辦法來減少假車牌的氾濫所以這一案本席是提凍結10%的預算請交通部提出書面報告後使得動之那第34案也是針對公路局監理業務
transcript.whisperx[752].start 19930.52
transcript.whisperx[752].end 19932.12
transcript.whisperx[752].text 關於交通部主管交通作業基金-國道公路建交通作業基金-國道公路建
transcript.whisperx[753].start 19951.145
transcript.whisperx[753].end 19958.849
transcript.whisperx[753].text 則提出提高外籍考照者參加駕訓班計劃的有效措施。本席提案凍結10%,請交通部提出書面報告後時的動之。第57案
transcript.whisperx[754].start 19967.914
transcript.whisperx[754].end 19989.453
transcript.whisperx[754].text 公路局監理業務管理向下公路公共運輸計劃的獎補助費這個部分因為我們知道現在就是很多這個客運偏鄉地區的這個大巴士或者是客運路線一直在減少然後也減班所以對偏鄉的交通真的非常不便那我們基於這個交通平權我們希望就是
transcript.whisperx[755].start 19991.434
transcript.whisperx[755].end 20007.725
transcript.whisperx[755].text 請交通部公路局提出有關幸福巴士轉型服務、鄉鄉有公車、偏鄉客運、客貨服務等短中長期的交通評選目標的具體內容。本席是提凍結預算10%,希望交通部提出書面報告後使得動之。
transcript.whisperx[756].start 20010.046
transcript.whisperx[756].end 20021.029
transcript.whisperx[756].text 第67案公路局監理業務管理向下客運車輛電動化推動計劃本席提凍結10%預算。請交通部公路局研擬有關運具電動化政策的鼓勵措施以提升執行績效。請交通部提出書面報告後,使得動之。
transcript.whisperx[757].start 20033.811
transcript.whisperx[757].end 20037.994
transcript.whisperx[757].text 第70案公路監理資料庫及基礎建設升級計劃
transcript.whisperx[758].start 20048.699
transcript.whisperx[758].end 20058.465
transcript.whisperx[758].text 嚴明如何加強宣導並優化更新資訊採選服務及監理服務的UI設計,減少後續的紛爭,希望能提出具體檢討報告。本席提動解10%的動決案,希望交通部提出書面報告後的動質。若沒有其他委員要再提出爭取的部分,我們請交通部做一個統一的回覆。
transcript.whisperx[759].start 20076.03
transcript.whisperx[759].end 20104.855
transcript.whisperx[759].text 是跟委員會報告我是不是就從那個大家大概的一個提案的一個順序做一個說明那從第12案開始大概就是這個徐副會委員有提到大概就是電8的電8的案子我想就是今年的掛牌大概接近1900那我們也核定了大概有2800多輛出去那當然因為他就是要掛牌大概就是他有一點時間的落差
transcript.whisperx[760].start 20106.015
transcript.whisperx[760].end 20130.981
transcript.whisperx[760].text 整個就是說掛牌其實到我們大概年底到明年我想我們會追上整個的一個執行的一個進度那13案的話就是徐委員也是提到就是下鄉考照要加強服務這個我想我們一定會來做相關的一個加強那14案這個外送員的這個我們修運輸業的規則其實當初大概消基會的這個部分其實後來的幾次會議都有邀請他們
transcript.whisperx[761].start 20132.081
transcript.whisperx[761].end 20133.562
transcript.whisperx[761].text 議員及外送員相關業者及工會
transcript.whisperx[762].start 20162.922
transcript.whisperx[762].end 20164.283
transcript.whisperx[762].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[763].start 20178.396
transcript.whisperx[763].end 20178.796
transcript.whisperx[763].text 委員委員會委員會委員會委員會
transcript.whisperx[764].start 20205.171
transcript.whisperx[764].end 20207.012
transcript.whisperx[764].text 附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案
transcript.whisperx[765].start 20232.426
transcript.whisperx[765].end 20235.928
transcript.whisperx[765].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建
transcript.whisperx[766].start 20256.462
transcript.whisperx[766].end 20279.334
transcript.whisperx[766].text 修法的部分的話就是我們已經在做這個研議了我想等一下再請司長那從我們跨部會的這個部分還包括數位部的這個整個就是網路上面的一些下架其實我們自己都有查跟委員報告因為9月10月的話行政院就是特別針對未編造車牌有開過兩次的一個專案會議把跨部會的這個責任都把它就是說要求所以
transcript.whisperx[767].start 20280.615
transcript.whisperx[767].end 20290.948
transcript.whisperx[767].text 統計8月份我們的這個查緝是高峰達到261件可是90月之後的話因為各部會就是說這個通力合作9月下降到18610月下降到15111月下降到121件其實這個未編造車牌其實這一個也有一些相關的一個嚇阻作用
transcript.whisperx[768].start 20298.357
transcript.whisperx[768].end 20299.899
transcript.whisperx[768].text 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[769].start 20317.08
transcript.whisperx[769].end 20317.621
transcript.whisperx[769].text 委員會主席
transcript.whisperx[770].start 20335.558
transcript.whisperx[770].end 20361.602
transcript.whisperx[770].text 二十八案林佩祥委員所提到的國道客運的這個跨縣市的這些班次的這個這個一定要足夠那我想這個部分的話其實我們都跟各地方政府做合作有不足的部分其實也都會比如說他有些是尖峰時間要做增加或是尖峰時間可能就是比如某些的這個站點要加班這個部分其實在尤其是像基隆桃園的部分其實都有做相關的一個要求
transcript.whisperx[771].start 20362.422
transcript.whisperx[771].end 20388.352
transcript.whisperx[771].text 二十九案黃建豪委員所提到我們郵寄其實因為有一些部分因為他要有法定的效力所以所以他有法定郵寄郵寄的一些規定不過現在電子化政府一化其實我們很多有些通知能夠用這個一化通知其實就又就來通知就不會完全都是用郵寄的那在三十一案跟三十案這個核心委員陳村委員都是未變到車牌這我們都會來努力
transcript.whisperx[772].start 20389.372
transcript.whisperx[772].end 20390.892
transcript.whisperx[772].text 二、繼續審查114年度中央政府總預算案附屬單位預算公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[773].start 20415.197
transcript.whisperx[773].end 20415.997
transcript.whisperx[773].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[774].start 20431.624
transcript.whisperx[774].end 20454.801
transcript.whisperx[774].text 沒有的話這個部分我想我們會再來跟西北地區的這個駕訓班來做相關的這個輔導跟讓他們能夠加入我們的機車的一個駕訓那33陳樹園也提到這個外籍人士的考照為什麼沒有來參加駕訓班這個部分我想我們會來再跟相關的這個地方的比如說這個主管外籍這個人士的一些事務來瞭解那也來輔導他們能夠來參加我們的駕訓班那36案就是說
transcript.whisperx[775].start 20460.366
transcript.whisperx[775].end 20482.35
transcript.whisperx[775].text 禮俊俊委員和山西七岸林佩祥委員提到大型車的造勢大型車的造勢其實包括大客車其實我們現在有做相關的要求大貨車其實現在我們有相關的就是說有包括自主的一個要求自主管理的要求那另外其實有包括違規律、事故律不好的部分其實我們都會去業者這邊做督導對於就是說這個
transcript.whisperx[776].start 20487.611
transcript.whisperx[776].end 20506.188
transcript.whisperx[776].text 大貨車駕駛違規,就是說比較高的部分我們會開專案的一個這個相關的一個架序嗎?黃教授委員也有提到微變造車牌,這我們也一起處理那公運的計畫,包括43案李昆哲委員、46號何宣淳委員跟50案林俊憲委員、50案林佩祥委員大概都是提到公運計畫,公運計畫其實已經分好幾期了
transcript.whisperx[777].start 20510.171
transcript.whisperx[777].end 20530.198
transcript.whisperx[777].text 114年是新一期,每一期都是四年,那大概每一期的四年計畫大概都會有一些相關的成效所以提到就是說我們要把這個成效提出這個成效說明的一個報告那另外在偏鄉之間,譬如說偏鄉我們的幸福巴士的執行的成效以及偏鄉有些托班的部分,那有些部分會涉及到地方政府
transcript.whisperx[778].start 20531.418
transcript.whisperx[778].end 20555.786
transcript.whisperx[778].text 委員提到移波路線的補助款這個部分跟委員報告是不是我們大概做個檢討因為其實相關的補助大概都會有一些就是說資源的分配這邊分配多的話有些的那個項目分配可能就少不過就是說委員有提到說是不是這個隔幾年應該做一些檢討這個是我們來檢討一下整個資源的一個分布預算的一個經費來提出一個檢討的一個報告
transcript.whisperx[779].start 20560.507
transcript.whisperx[779].end 20580.573
transcript.whisperx[779].text 五十四案黃相偉有提到司機的缺口,這個部分其實我們包括已經調整了客運營運的成本,這個成本增加的話要讓業者要反映到薪資另外我們這幾年也辦招募駕駛人員,其實這幾年已經招募了三千多位,我想我們在114年會持續來辦理
transcript.whisperx[780].start 20582.193
transcript.whisperx[780].end 20585.638
transcript.whisperx[780].text 五、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[781].start 20599.156
transcript.whisperx[781].end 20628.198
transcript.whisperx[781].text 那這個58案陳學生委員所提到的馬祖大橋的這個部分因為院秘書長在112年8月有給我們一些這個相關的意見我想這個達成包括就是說這個北竿基產已經有相關的一個核定的計畫那可是他有一些調查我想這個部分公路局是受這個連江縣政府的委辦我們會來跟連江縣政府一起就行政院所提出來的相關的一個建議怎麼樣的回應我們來做一個研議那能夠盡速
transcript.whisperx[782].start 20629.059
transcript.whisperx[782].end 20658.235
transcript.whisperx[782].text 做一個回覆那另外這個這個李分正委員有提到電巴的這個部分包括就是說未來怎麼樣來加強協助那這個電巴因為我們有相關的這個宣導期普及期的這個輔導期這個所以大概就是說因為現在的電巴其實本來只有兩家的車廠現在包括已經合併四家還有第五家也在處理所以電巴部分我想後面的話會走得更快速那電巴的這個部分包括
transcript.whisperx[783].start 20660.176
transcript.whisperx[783].end 20678.328
transcript.whisperx[783].text 六十一岸盧明哲委員、六十五岸核心政府委員、六十七岸城村委員都有提到電巴的一個協助鼓勵目前的補助的部分的話其實交通部是補助670萬那還有一些加碼的部分那環境部的話其實是維運了有160萬那這個部分的話我想如果說有更多的業者進來的話這個選擇性多我想這個
transcript.whisperx[784].start 20681.51
transcript.whisperx[784].end 20706.152
transcript.whisperx[784].text 議員議員議員議員
transcript.whisperx[785].start 20709.939
transcript.whisperx[785].end 20738.642
transcript.whisperx[785].text 跟早晚還有個委員報告就是有委員關切到那個偽造號牌修法的部分齁那這個上次在專案會議有跟委會報告這個部裡面針對處罰條例的修正重點那這個草案已經送到這一個行政院那行政院上禮拜也召開過第一次審查會議那有些條文的部分我們再細部微調一下趕快送這一個那個行政院召開第二次這個審查會確認之後那就會趕快送這個立法院來做並案的一個審查以上大概做一個補充報告
transcript.whisperx[786].start 20743.149
transcript.whisperx[786].end 20761.153
transcript.whisperx[786].text 委員都有充分的來徵詢表達意見,是不是我們就試著來處理,來變樣處理。這個部分經費算數蠻龐大的,下面科目也很多,委員的提案也很多,從12到70案,有凍結5000萬的,然後有要刪減2億的。
transcript.whisperx[787].start 20768.314
transcript.whisperx[787].end 20794.317
transcript.whisperx[787].text 凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結二分之一凍結案、凍結
transcript.whisperx[788].start 20796.503
transcript.whisperx[788].end 20798.524
transcript.whisperx[788].text 二十一你是同意改動解嗎?是不是?
transcript.whisperx[789].start 20827.41
transcript.whisperx[789].end 20834.717
transcript.whisperx[789].text 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[790].start 20864.765
transcript.whisperx[790].end 20872.912
transcript.whisperx[790].text 總輸118億118億跟委員報告118億都是所有的監理所佔他開門所有的監理業務他要下鄉服務他要做寄送
transcript.whisperx[791].start 20881.434
transcript.whisperx[791].end 20883.096
transcript.whisperx[791].text 二、繼續審查114年度中央政府總預算案
transcript.whisperx[792].start 20897.17
transcript.whisperx[792].end 20911.697
transcript.whisperx[792].text 一千萬啦,跟委員報告,那個副議會跟委員報告,副議會喔,沒錢,副議會都是付那個,那個,那個,出席費啊,對啊,他把單子給他刪了,他就沒辦法支,好,一千萬啦,一千萬我客戶自行調整可不可以
transcript.whisperx[793].start 20912.901
transcript.whisperx[793].end 20933.997
transcript.whisperx[793].text 你如果把它改為做馬祖大橋的建設計畫我全部負責幫你恢復我努力努力那就是針對公路局監理業務管理我們就是三減一千萬然後凍結十分之一因為林委員要凍結不用凍啦
transcript.whisperx[794].start 20938.169
transcript.whisperx[794].end 20940.691
transcript.whisperx[794].text 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[795].start 20958.104
transcript.whisperx[795].end 20959.985
transcript.whisperx[795].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[796].start 20988.504
transcript.whisperx[796].end 21000.228
transcript.whisperx[796].text 陳雪生的案子就是保留送院會協商然後在這裡補充宣告就是針對這一幕委員的提案之中有關17案、18案、19案、28案、30案、37案、39案、52案、61案、69案改組決議
transcript.whisperx[797].start 21008.271
transcript.whisperx[797].end 21012.934
transcript.whisperx[797].text 提案委員同意改組決議提案委員同意改組決議提案委員同意改組決議提案委員同意改組決議
transcript.whisperx[798].start 21036.696
transcript.whisperx[798].end 21062.9
transcript.whisperx[798].text 你們說明一下根委員報告因為就是它這個水電的這個電費的部分其實我們在這個今年年底我們要從那個高工局那邊要接4條以前就是我們的一些快速公路台78、台82、台84、台86這幾條快速公路因為那時候是請高工局幫我們管理所以今年年底要收回4條這個快速公路
transcript.whisperx[799].start 21063.34
transcript.whisperx[799].end 21091.682
transcript.whisperx[799].text 那明年6月底前還要再收回4條台72、台74、台76、台88啊這個電齁電都是他整個這個快速公路的這個燈啊隧道的照明還有這個機電的維修齁啊因為是增加明年要增加8條快速公路的這個處理齁所以其實電費齁我們已經就是說盡量能夠能夠來節省齁也跟委員報告我們現在齁建立所站齁他現在怕省電齁他有時候
transcript.whisperx[800].start 21092.022
transcript.whisperx[800].end 21116.408
transcript.whisperx[800].text 議員議員議員議員
transcript.whisperx[801].start 21116.908
transcript.whisperx[801].end 21143.34
transcript.whisperx[801].text 是有增加8條快速公路要接回來是不是不要給我們錢因為那個電真的是沒電沒辦法工作好 那就3.5百萬了好不好因為電費大家這個捷內神探鼓勵一下啦不要異議啦五百萬了那個林國聰你還要發言嗎那個主席我特別提醒一下第55案我們已經處理完了我知道你那55案我拜託你要做專案報告好不好
transcript.whisperx[802].start 21144.605
transcript.whisperx[802].end 21160.403
transcript.whisperx[802].text 對阿那個要做專案報告那是補助地方阿我不給你刪了我也不給你動但是你要做一個專案報告因為你這個是補助地方嘛你總是要報告一下讓我們交通委員會都知道這個事情嘛
transcript.whisperx[803].start 21161.504
transcript.whisperx[803].end 21161.744
transcript.whisperx[803].text 委員會委員會委員會委員會
transcript.whisperx[804].start 21188.814
transcript.whisperx[804].end 21207.807
transcript.whisperx[804].text 議員議員議員議員議員
transcript.whisperx[805].start 21208.775
transcript.whisperx[805].end 21232.441
transcript.whisperx[805].text 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附�
transcript.whisperx[806].start 21238.443
transcript.whisperx[806].end 21240.544
transcript.whisperx[806].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[807].start 21267.718
transcript.whisperx[807].end 21287.31
transcript.whisperx[807].text 公路局的這個業務其實包括監理運輸公路工程所以像我們的監理運輸的部分其實就是包括汽車運輸業我們要委託就是說辦理就是說這個像比如說這個台鐵跟那個民航其實他們都有一個業者裡面的一個系統安全管理制度SMS
transcript.whisperx[808].start 21288.391
transcript.whisperx[808].end 21314.809
transcript.whisperx[808].text 所以我們雖然運輸業的這個規模比較小可是我們也希望就是說你自己運輸業本身的這個系統安全管理制度要建立所以這個部分我們大概就是希望做一個研究案也來輔導各運輸業者要來建立另外就是說像這個永續提升人行安全計畫就是各縣市政府提那個路口的改善路口改善他比如說路口要做什麼樣的這個退縮、潮化
transcript.whisperx[809].start 21315.469
transcript.whisperx[809].end 21340.3
transcript.whisperx[809].text 候製標誌因為那個部分要做一些專案管理的一個審查不然的話他們有時候做的成效不好所以大概這個部分也會做那另外就是說比如說這個我們省道公路全國有5000多公里10年要做一次清查這一次今年也會特別再做一個這個清查所以大概有比往年增加一點點那委員是不是不要刪那麼多讓我們就是說可以
transcript.whisperx[810].start 21340.64
transcript.whisperx[810].end 21340.76
transcript.whisperx[810].text 委員報告
transcript.whisperx[811].start 21356.32
transcript.whisperx[811].end 21384.695
transcript.whisperx[811].text 委辦費以今年我們有一個生活圈的那個委辦費就是說確實只執行一半只是說生活圈那時候因為我們在年年中的時候執行一半的原因是因為今年的下半年我們的這個地震跟颱風好啦你不要再講下去我怕待會路人又站起來砍了那個我們有移波到我們有移緩季期那個我們移緩季期這樣的啦這個35百萬好不好就真的不要耽誤大家的時間
transcript.whisperx[812].start 21387.219
transcript.whisperx[812].end 21392.102
transcript.whisperx[812].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[813].start 21416.428
transcript.whisperx[813].end 21439.31
transcript.whisperx[813].text 第三目公路建設及改善計畫71-96案我們是不是請提案委員來做徵詢還是說完全不用我們就直接請林國成委員本期提案是我們到底第幾案
transcript.whisperx[814].start 21441.44
transcript.whisperx[814].end 21469.483
transcript.whisperx[814].text 七十一到九十六我是七十五案還有九十五案還有九十五案這個部分我是特別也就是我們改善道路養護這個部分我要特別部長在這裡還有局長也在這裡我必須要提出來我們同事不要製造混亂
transcript.whisperx[815].start 21471.294
transcript.whisperx[815].end 21483.62
transcript.whisperx[815].text 哪一個委員爭取的東西請你們不要把所有責任移到別的委員去這個是不好的這個叫做壞習慣
transcript.whisperx[816].start 21486.332
transcript.whisperx[816].end 21509.163
transcript.whisperx[816].text 給你們錢去造橋鋪路我們理當應該要支持但是你不要製造我們同事之間明明就是林佩祥爭取的你就要告訴說這是林國成你何必呢這種東西做事情是為老百姓而做事所以為什麼我會針對你這個有意見
transcript.whisperx[817].start 21511.664
transcript.whisperx[817].end 21512.785
transcript.whisperx[817].text 謠言不盡,立法院不盡。
transcript.whisperx[818].start 21522.79
transcript.whisperx[818].end 21546.561
transcript.whisperx[818].text 議員議員議員議員
transcript.whisperx[819].start 21547.422
transcript.whisperx[819].end 21572.463
transcript.whisperx[819].text 稍微小問題但是會製造整個徵取預算是每一個立法委員應該做的可是你們一定要去注意這些你們要信念別人要邊信念經會先要自己要信念你們自己如何去面對尤其是交通委員徵取的東西你就告訴你就告訴說這個是哪一個委員他是別的委員會
transcript.whisperx[820].start 21573.924
transcript.whisperx[820].end 21588.056
transcript.whisperx[820].text 審預算的時候他有幫我有幫我幫你嗎所以這些東西你們要約束你們的人當然對於預算我想基本上我是第75案我是建議要3減5000萬還有95案的部分我是建議3減100萬至於這些看局長部長有什麼看法
transcript.whisperx[821].start 21606.113
transcript.whisperx[821].end 21607.834
transcript.whisperx[821].text 黃建豪委員黃建豪委員黃建豪委員
transcript.whisperx[822].start 21631.684
transcript.whisperx[822].end 21655.667
transcript.whisperx[822].text 一般一邊施工但同時就是因為你施工所以沒有人行沒有地方可以走所以有人走到快車道上然後被車這個撞死了這個狀況發生所以我們希望說未來這部分在要求地方政府的時候不管合約或廠商等等都能夠確實的執行所以我們是提凍結不是提刪除是凍結希望你們能夠去執行那包含說還有這個之前之前有提到人行道上的這種電箱問題啊就是說
transcript.whisperx[823].start 21658.1
transcript.whisperx[823].end 21683.681
transcript.whisperx[823].text 我們希望說既然要推這個人本交通我們把這個上位的原則來拉上來拉高一點那我們交通部這邊或是在做工程這邊不要只有單純做工程而已還包含說道路上各種障礙一樣把它整併在所謂的這個整個更新計劃裡面而不是把行程到鋪完之後就沒有我的事而是說既然我要鋪那我就把所有的周邊的所有障礙一次把它排除掉這樣這個錢花去調一要不然
transcript.whisperx[824].start 21685.683
transcript.whisperx[824].end 21700.98
transcript.whisperx[824].text 人民道是新的只有電箱或其他障礙物一樣在上面是舊的那我想這個跟預算本身的的精神是背道而馳的所以這是我們提出的一個凍結案也是希望你們能去確實的執行以上好那李崑澤也有沒有要說明
transcript.whisperx[825].start 21704.127
transcript.whisperx[825].end 21708.348
transcript.whisperx[825].text 您提案的部分有沒有要再徵詢的?您提的74案、80、81的部分
transcript.whisperx[826].start 21733.603
transcript.whisperx[826].end 21755.36
transcript.whisperx[826].text 今天在這邊我還是重申一次部長還是要督促各局處在相關委員提案出來就要跟委員來溝通對話說明以前交通委員會不管是國民黨的行政院長時代或是民進黨審預算很少超過中午的
transcript.whisperx[827].start 21757.041
transcript.whisperx[827].end 21777.246
transcript.whisperx[827].text 到現在還在這邊討論什麼這個要動多少什麼什麼好像在菜市場喊價一樣以前都已經講清楚了也會尊重委員的意見該刪多少就刪多少該凍結多少都已經都講好了那個速度也很好以前部長也很少在審查預算來
transcript.whisperx[828].start 21778.609
transcript.whisperx[828].end 21808.609
transcript.whisperx[828].text 議員議員議員
transcript.whisperx[829].start 21809.55
transcript.whisperx[829].end 21810.19
transcript.whisperx[829].text 公路系統維護5千公里
transcript.whisperx[830].start 21830.521
transcript.whisperx[830].end 21858.779
transcript.whisperx[830].text 那相關的各縣市政府重要的比較偏鄉的經過的省道相關的維護或是相關新的這種公路的興建這個經費都在各地縣市政府是作為交通的一個重要的這樣的一個發展的基礎這個請大家多多三思以上好謝謝那接下來邀請徐富奎委員之後再請魯明哲召委
transcript.whisperx[831].start 21859.144
transcript.whisperx[831].end 21882.946
transcript.whisperx[831].text 好謝謝主席本席提出71案跟第76案那71案的部分我想在委員會我想我們很多委員都有提到特別提到對這個所謂編撥的一個災害的預防的部分那我們後續也是要求我們的交通部針對這個監測的一個廣度跟深度的一個防範能夠做一個比較有效的SOP的一個
transcript.whisperx[832].start 21883.507
transcript.whisperx[832].end 21903.865
transcript.whisperx[832].text 議員議員議員議員
transcript.whisperx[833].start 21904.005
transcript.whisperx[833].end 21906.628
transcript.whisperx[833].text 則第76案,屏東縣總共有1187座橋樑,因過去檢測及維修費用由縣市政府負擔,一年約6、7千萬元對屏東縣政府形成財政負擔。
transcript.whisperx[834].start 21921.261
transcript.whisperx[834].end 21950.3
transcript.whisperx[834].text 後續我們也是要求這個交通部因為這個畢竟這個橋樑的安全是很重要尤其我們超過40年以上的老舊橋樑有大概有50座了那後續如果針對這部分是不是請交通部可以來協助這個補助經費讓縣政府來經營這個橋樑跟檢測的業務維護這個橋樑的安全那這案子本席提案凍結500萬那請公路局提出相關的計畫來說明謝謝好謝謝許副委員接下來邀請魯明哲召委
transcript.whisperx[835].start 21952.921
transcript.whisperx[835].end 21972.775
transcript.whisperx[835].text 九十六案公路局說明過去台電有補助50%現在沒有補助你勢必自己要編組所以我這個部分改組決議當然第一個希望你們能夠節能審探之外我們上次在交委會執行的時候特別部長也覺得還不錯就是路口有斑馬線的
transcript.whisperx[836].start 21973.916
transcript.whisperx[836].end 21995.589
transcript.whisperx[836].text 議員議員議員議員議員議員
transcript.whisperx[837].start 21995.799
transcript.whisperx[837].end 22004.685
transcript.whisperx[837].text 公路基金-國道公路建公路基金-國道公路基金-國道公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金公路基金
transcript.whisperx[838].start 22022.518
transcript.whisperx[838].end 22031.263
transcript.whisperx[838].text 以開發新的路線不定委託研究真的要去年是編了950萬專案管理今年要編1750萬
transcript.whisperx[839].start 22033.843
transcript.whisperx[839].end 22060.759
transcript.whisperx[839].text 虽然刚刚比起来你几亿几百亿的钱数不多啊不因为现在到底这个之前推的去年编的9亿实体的路线如何那113年的预算执行率又不佳所以我想这个案子啊因为最主要是你的执行率跟研究据点需要这么多钱我是不太认同啊所以我这边简列800万以上说明
transcript.whisperx[840].start 22061.38
transcript.whisperx[840].end 22088.456
transcript.whisperx[840].text 好,謝謝魯明哲教委,那我們現在就請交通部這邊來做一個說明,謝謝是,有關這一個71案徐副國委員所提到的這個邊坡的這個部分其實公路局有做相關的一個分級然後不同的這個災害的話其實都有相關的一個這個監測的計畫那我們也有這個整個自我檢討有一些精進的計畫我想我們會提出整個一個書面的一個報告
transcript.whisperx[841].start 22090.197
transcript.whisperx[841].end 22116.405
transcript.whisperx[841].text 那另外就是說這一個76案也是徐貴委員有提到就是說這一個屏東縣的橋樑檢測跟委員報告就是橋樑檢測的費用其實他沒有很多那其實大部分就是說其實在氣燃費分配給各縣市政府的這個養護費用上面其實各縣市政府能夠來自己來處理而反而是我們要求他們一定要百分之百做檢測
transcript.whisperx[842].start 22117.586
transcript.whisperx[842].end 22136.062
transcript.whisperx[842].text 檢測完之後如果說要做修理的話那個錢才花得多修理的錢花得多如果說有些部分包括中央裡面包括這個交通部公路局或內政部國都署其實會給他協助所以我想這個部分的話其實我們跟地方政府在這方面的這個合作關係其實都是這個非常好的
transcript.whisperx[843].start 22136.963
transcript.whisperx[843].end 22141.667
transcript.whisperx[843].text 另外林國成委員所提到的各地區公務段,對於委員的建議案,屬於哪個委員建議的,我一定會做相關的要求。
transcript.whisperx[844].start 22154.336
transcript.whisperx[844].end 22162.566
transcript.whisperx[844].text 另外86案魯明哲委員提到的自行車升級是第二期計劃從以前主線跟分支線後來發現台灣各區域有一些斷鏈
transcript.whisperx[845].start 22173.077
transcript.whisperx[845].end 22188.651
transcript.whisperx[845].text 斷鏈以後大概就是說怎麼樣去把它就是說斷鏈比如說是要做專屬的道路還是說比如說在其他的省縣道在外掛還是要怎麼樣因為它有些也涉及到用地的一個取得那執行比較慢其實大概就是因為這個大部分都是補助地方政府
transcript.whisperx[846].start 22188.991
transcript.whisperx[846].end 22190.432
transcript.whisperx[846].text 斷鏈補助執行車道補助執行車道補助執行車道補助執行車道補助執行車道補助
transcript.whisperx[847].start 22212.331
transcript.whisperx[847].end 22240.616
transcript.whisperx[847].text 黃教委員有提到就是8889也就是說我們永續提升人行安全這個地方這個其實大概地方政府在做的時候確實因為在施工的時候其實施工的焦為因為你把人行道拆了以後其實這個行人他可能就是靠邊你要做交通追的處理那施工的焦為其實一定要做好這個部分我想我們未來在這個補助地方政府的時候其實在整個地方的施工的這個部分包括會同地方的
transcript.whisperx[848].start 22240.956
transcript.whisperx[848].end 22241.096
transcript.whisperx[848].text 大翁匯報
transcript.whisperx[849].start 22262.937
transcript.whisperx[849].end 22288.395
transcript.whisperx[849].text 這個地方在協調的時候其實他們當初有些部分我的了解其實就是他那個電箱有些地方就是下地或者是他要找地方可能沒地方擺不過這個其實在各地方政府就是說在做人行的這個安全的這一個的話其實這個是在檢核上面是一定要檢核的不會是不處理有可能就是在處理上面有可能他就是台電跟中華電信有可能確實還是找不到地方去擺
transcript.whisperx[850].start 22288.755
transcript.whisperx[850].end 22289.096
transcript.whisperx[850].text 人行道改善
transcript.whisperx[851].start 22303.062
transcript.whisperx[851].end 22305.724
transcript.whisperx[851].text 公路建設及改善計劃預算執行事實上不是補助地方去執行就是做在地方
transcript.whisperx[852].start 22320.759
transcript.whisperx[852].end 22336.254
transcript.whisperx[852].text 議員議員議員
transcript.whisperx[853].start 22336.254
transcript.whisperx[853].end 22355.162
transcript.whisperx[853].text 議員議員議員議員議員
transcript.whisperx[854].start 22355.462
transcript.whisperx[854].end 22359.964
transcript.whisperx[854].text 第18、繼續審查114年度中央政府總預算案附屬單位預算公路建第18、繼續審查114年度中央政府總預算案附屬單位預算公路建
transcript.whisperx[855].start 22376.914
transcript.whisperx[855].end 22381.598
transcript.whisperx[855].text 我們有跟徐志杰委員就是整個說這個報告了對 溝通了委員是說就是改動500萬就是本來是要凍結3000萬的那我們就好 我們就不理處理啦好
transcript.whisperx[856].start 22408.281
transcript.whisperx[856].end 22408.881
transcript.whisperx[856].text 主決議98案第99案
transcript.whisperx[857].start 22438.28
transcript.whisperx[857].end 22459.644
transcript.whisperx[857].text 對,98案的話就是這邊還有一個就是4個月改一個月就是有修正兩個位置那邱委員有同意有有他已經簽名了一個月內提出書面報告第99案99案的話就是這個有做文字修正包括把市府刪掉還有就是這邊重新提檢把修正委辦理邊坡監測計畫那委員也已經簽名了
transcript.whisperx[858].start 22462.827
transcript.whisperx[858].end 22477.903
transcript.whisperx[858].text 好,那就是照修正辦理好,第一百案一百案的話就是114年度每季改成三個月那委員也簽名了好,就是改為三個月內提書面報告好,謝謝第一百零一案一百零一案就是三個月改一個月啊委員也簽名了
transcript.whisperx[859].start 22482.054
transcript.whisperx[859].end 22496.204
transcript.whisperx[859].text 102案是在交通部這邊是增加一個公路局然後一個月改三個月那委員也簽名了改三個月內提出書面報告103案104案105案106案106案就是在專案報告改成書面報告
transcript.whisperx[860].start 22506.371
transcript.whisperx[860].end 22533.008
transcript.whisperx[860].text 那這個委員也簽名了好改書面報告107案-遵照辦理好108案-遵照辦理109案109案是109案的話文字做相關的修正就是在第二段的倒數第三案這邊有加一個轄管省道公路系統橋樑然後將專案報告改成書面報告那這個部分的話這個委員也簽名了
transcript.whisperx[861].start 22533.462
transcript.whisperx[861].end 22555.973
transcript.whisperx[861].text 好,那就是同意修正文字後辦理了。好,再來110案。好,111案。111案的話就是專案報告改成書面報告,那委員也簽名了。好,改書面報告。好,112案。112案的話這邊是有跟委員報告就是兩個月內改成三個月,然後專案報告改成書面報告。
transcript.whisperx[862].start 22556.793
transcript.whisperx[862].end 22558.275
transcript.whisperx[862].text 三個月內提出書面報告。
transcript.whisperx[863].start 22572.57
transcript.whisperx[863].end 22574.431
transcript.whisperx[863].text 113專案報告改書面報告委員簽名114專案報告改書面報告委員簽名116遵照辦理
transcript.whisperx[864].start 22591.141
transcript.whisperx[864].end 22591.221
transcript.whisperx[864].text 117、118、119、120將1個月改3個月
transcript.whisperx[865].start 22612.87
transcript.whisperx[865].end 22633.343
transcript.whisperx[865].text 一、二、三、一、二、四、一、二、五一、二、五的話是在就是最後一行就是綜合規劃是改成可行性評估然後報交通部並同臺南市政府積極溝通那這個部分委員也簽名了好就是照文字修正後辦理好
transcript.whisperx[866].start 22636.351
transcript.whisperx[866].end 22656.004
transcript.whisperx[866].text 好,那有關交通部公路局及所屬114年度單位預算那個委員的提案審查完均。接下來我們處理國道公路建設管理基金。好,那我們先休息五分鐘好了,那讓我們的這個官員換場一下。
transcript.whisperx[867].start 22662.711
transcript.whisperx[867].end 22667.338
transcript.whisperx[867].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建
transcript.whisperx[868].start 22677.954
transcript.whisperx[868].end 22682.3
transcript.whisperx[868].text 所以審查到?我認為只審得到製通,只審到資安,應該審不到素材
transcript.whisperx[869].start 22695.836
transcript.whisperx[869].end 22700.099
transcript.whisperx[869].text 啊...我覺得我們都已經損了理性了啦...
transcript.whisperx[870].start 22725.276
transcript.whisperx[870].end 22737.406
transcript.whisperx[870].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[871].start 22752.458
transcript.whisperx[871].end 22753.038
transcript.whisperx[871].text 市長 市長 市長市長
transcript.whisperx[872].start 22780.377
transcript.whisperx[872].end 22800.111
transcript.whisperx[872].text 沒有補助了,我以為你剛才有講公路局沒有補助,我沒意識到有補助。對,那可能要送這個市長協商,其他的,他特意要求我要送市長協商,其他我可能也要送。沒有吧?沒有吧?他今天早上我跟我講就這麼說。喔真的嗎?他今天早上,今天早上我就,八點鐘的時候我就說要送市長協商,我就好啊,我就做這個。
transcript.whisperx[873].start 22807.376
transcript.whisperx[873].end 22808.497
transcript.whisperx[873].text 市長市長市長市長市長市長
transcript.whisperx[874].start 22837.116
transcript.whisperx[874].end 22840.218
transcript.whisperx[874].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[875].start 22871.63
transcript.whisperx[875].end 22896.544
transcript.whisperx[875].text 議員議員議員議員議員
transcript.whisperx[876].start 22908.677
transcript.whisperx[876].end 22909.017
transcript.whisperx[876].text 委員會主席
transcript.whisperx[877].start 22914.039
transcript.whisperx[877].end 22916.601
transcript.whisperx[877].text 國道公路建管理基金-國道公路建管理基金
transcript.whisperx[878].start 22931.178
transcript.whisperx[878].end 22931.318
transcript.whisperx[878].text 委員會主席
transcript.whisperx[879].start 22948.4
transcript.whisperx[879].end 22973.874
transcript.whisperx[879].text 這樣我就把我的案子同意林俊憲的3.2千萬就好了林俊憲不在嘛,那我們就有跟林委員溝通過了那我們建議是說免山免棟啦因為這裡面來講我們的7億1千多萬幾乎都是我們隧道的照明還有交控的一個單位我知道那就3、5百萬跟公路總局一樣就不要再講下一案了
transcript.whisperx[880].start 22974.921
transcript.whisperx[880].end 22977.162
transcript.whisperx[880].text 法定人數不足
transcript.whisperx[881].start 22996.451
transcript.whisperx[881].end 23023.603
transcript.whisperx[881].text 不好意思,我主要是第五案的主題案人,但是事實上主題案人其實是許新穎委員,那他是針對這個隔音牆,因為這個隔音牆好像有的時候不是用平均的聲音來去測的,是說如果忽然之間,忽然很大聲的時候,這個隔音牆設備還是有需要的。然後我也認同,尤其在那個西紅市中山區在新橫濱那邊其實已經有議員跟我反映過,雖然不同黨,但是跟我反映過是那邊也需要裝隔音牆,所以說這方面來講我還是維持原意凍結3000萬的,不過
transcript.whisperx[882].start 23026.064
transcript.whisperx[882].end 23030.607
transcript.whisperx[882].text 五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建五、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[883].start 23047.125
transcript.whisperx[883].end 23068.848
transcript.whisperx[883].text 議員議員議員議員
transcript.whisperx[884].start 23069.994
transcript.whisperx[884].end 23092.476
transcript.whisperx[884].text 好謝謝林國雄委員那這個林俊賢委員的提案你有跟他溝通?有有有跟他溝通過是他同意怎麼樣?是同意我們去併案去處理同意併案處理是好那這樣子的話我們就來進行處理了那剛剛我們林沛翔有提到說徐信委員要提政黨協商
transcript.whisperx[885].start 23095.382
transcript.whisperx[885].end 23116.215
transcript.whisperx[885].text 所以我們就照徐新穎委員的建議的部分來凍結3000萬的方式來處理好不好同意凍結就好了就不用提就照他的提案這樣好那這樣子我們就3到7案就是併案處理我們就是凍結應該是指第5案的49620萬凍結3000萬吧是是好凍結3000萬
transcript.whisperx[886].start 23122.815
transcript.whisperx[886].end 23140.704
transcript.whisperx[886].text 提書面報告後,有關勞務成本、文物成本、服務費用、修理、保養及保固費、土地改良物、修屋、護費、道路維護、作業、交通設施改善工程,細目凍結三千萬。將林國成委員的案子
transcript.whisperx[887].start 23149.198
transcript.whisperx[887].end 23176.459
transcript.whisperx[887].text 三、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算非營業部分關於交通部公路建三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建三、繼續審查114年度中央政府總預算案附�
transcript.whisperx[888].start 23178.297
transcript.whisperx[888].end 23200.346
transcript.whisperx[888].text 第二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建第二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建第二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建第二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建第二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建
transcript.whisperx[889].start 23206.153
transcript.whisperx[889].end 23206.515
transcript.whisperx[889].text 提案委員提問
transcript.whisperx[890].start 23212.13
transcript.whisperx[890].end 23238.314
transcript.whisperx[890].text 好謝謝主席那針對第九案我有提案凍結10%啦希望能夠提出專案報告那其實那個情況我們大概都知道啦因為這麼多年來你們對於這個易塞車路段的一個輸運改善優化相關的一個交通資訊啦其實我們確實也有看到這些資訊啦但是實際的狀況我們覺得改變的非常非常少
transcript.whisperx[891].start 23238.934
transcript.whisperx[891].end 23262.896
transcript.whisperx[891].text 所以他是用鼓烈性質想方設法能不能像這個擁設的路段在我們編預算的前提這個方法你拿到預算嘛那希望能夠真正做到改善那這樣好不好專案報告不堅持啦書面報告可以啦待會看整體怎麼凍結以上好那個林國成委員
transcript.whisperx[892].start 23265.29
transcript.whisperx[892].end 23265.31
transcript.whisperx[892].text 委員會議員
transcript.whisperx[893].start 23295.657
transcript.whisperx[893].end 23297.518
transcript.whisperx[893].text 2016年度中央政府總預算案附屬單位預算
transcript.whisperx[894].start 23315.094
transcript.whisperx[894].end 23315.554
transcript.whisperx[894].text 主席
transcript.whisperx[895].start 23344.236
transcript.whisperx[895].end 23367.904
transcript.whisperx[895].text 行政院只給我們收費員的員額,沒有給我們工程的人力,所以這裡面很多都是依賴的外包,包括我們交通中心也都是外包的人員來處理。所以這裡面來講說確實是有它的外包費用,那外包費用它增加的部分也是都是在薪資的部分。另外一個就是我們駕駛退休以後也預缺不能補,所以也是外包的一個處理。
transcript.whisperx[896].start 23368.544
transcript.whisperx[896].end 23370.185
transcript.whisperx[896].text 三、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建
transcript.whisperx[897].start 23401.578
transcript.whisperx[897].end 23421.425
transcript.whisperx[897].text 議員議員
transcript.whisperx[898].start 23421.825
transcript.whisperx[898].end 23426.647
transcript.whisperx[898].text 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建
transcript.whisperx[899].start 23445.213
transcript.whisperx[899].end 23450.638
transcript.whisperx[899].text 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建
transcript.whisperx[900].start 23471.476
transcript.whisperx[900].end 23497.79
transcript.whisperx[900].text 議員議員議員議員議員議員議員議員議員議員議員議員議員議員議員議員
transcript.whisperx[901].start 23497.89
transcript.whisperx[901].end 23499.872
transcript.whisperx[901].text 三、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[902].start 23520.121
transcript.whisperx[902].end 23547.703
transcript.whisperx[902].text 委員已經訂到剛剛那邊去了,你剛剛講社群的部分是在這裡。沒有,那這個不一樣喔。前面那個沒有社群的那個案子。社群的那個臉書的部分是在這裡。好啦,三個一百萬啦,好不好。三個一百萬啦,還是很少的啦,好不好。好,那我們委員應該是小三啦,那我們就同意啦,好不好。就是那我們就來做一個處理啦,因為這邊提案的委員
transcript.whisperx[903].start 23548.883
transcript.whisperx[903].end 23554.745
transcript.whisperx[903].text 第18至22項管理及總務費用逐山一百萬科目自行調整接下來處理第23至24項業務外費用預算是21億2968萬元提案委員有沒有要做徵詢的?徐富奎委員
transcript.whisperx[904].start 23575.932
transcript.whisperx[904].end 23591.986
transcript.whisperx[904].text 謝謝主席本席提出第23案主要是針對我們這個每逢假期或是連假的時候這個我們的高速公路這個擁捨的情形相當嚴重那根據高工局的統計像今年來講上半年
transcript.whisperx[905].start 23592.846
transcript.whisperx[905].end 23610.923
transcript.whisperx[905].text 平日就有75個用色路段春節期間更是高達155個所以本席也要求我們交通部應該針對這樣一個明確的一個交通資訊的部分要提醒用路人避開尖峰路段的一個改善措施應該更要強化
transcript.whisperx[906].start 23611.323
transcript.whisperx[906].end 23627.101
transcript.whisperx[906].text 那尤其針對這樣一個交通疏導跟一個管制的措施更應該具體讓鄉親能夠了解所以本期提出凍結一千萬請交通部提出一個書面報告時的動之以上說明 謝謝徐副魁委員李昆澤委員
transcript.whisperx[907].start 23628.809
transcript.whisperx[907].end 23645.869
transcript.whisperx[907].text 我簡單提交一下,這個是比較特別的一個項目回收票,很多年輕人不知道回收票長什麼樣子預算兵力150萬元就是用於回溯票的回收之用
transcript.whisperx[908].start 23646.65
transcript.whisperx[908].end 23673.228
transcript.whisperx[908].text 那現在這種回收日益減少了其實也難以增加這種回收數局長你們簡單說明一下現在回收對於這個2024年來說你們回收了多少今年現在將近120萬左右今年到目前將近120萬整年啦今年啦回收票也收到
transcript.whisperx[909].start 23675.12
transcript.whisperx[909].end 23690.2
transcript.whisperx[909].text 一百一十幾件嗎?一百一十萬那你們明年是變一百五十萬那其實它有一個曲線嘛一直曲線下來嘛那我建議是三減二十萬應該可以吧
transcript.whisperx[910].start 23691.158
transcript.whisperx[910].end 23691.678
transcript.whisperx[910].text 徐副委員
transcript.whisperx[911].start 23712.908
transcript.whisperx[911].end 23722.815
transcript.whisperx[911].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[912].start 23737.265
transcript.whisperx[912].end 23756.316
transcript.whisperx[912].text 固定資產建設改良擴充預算數是346億3907萬9千元好那我們請提案委員是不是做徵詢那請李坤澤委員好我們來看114年度我們相關固定資產建設的改良擴充其實這個預算編列了346億元他其實比113年度的預算增加了164億元
transcript.whisperx[913].start 23766.921
transcript.whisperx[913].end 23788.746
transcript.whisperx[913].text 其實我們看到相關工程的推動如果是能如期如止完成這是全民大家所想要看到的但是我們就碰到很嚴重的問題就是說近期國內的民間投資與公共工程建設大幅增加所以原建市場其實是飽和的
transcript.whisperx[914].start 23789.867
transcript.whisperx[914].end 23800.219
transcript.whisperx[914].text 各營造工程競組技術人力、機具、物料、民間投資、公共工程
transcript.whisperx[915].start 23802.574
transcript.whisperx[915].end 23824
transcript.whisperx[915].text 那這種我看就會影響到廠商參與公共工程建設的投標意願那國內有很多公共工程都受到影響我想這兩年來我們一直都在討論這個議題那造成我們很多公共工程
transcript.whisperx[916].start 23825.06
transcript.whisperx[916].end 23826.06
transcript.whisperx[916].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[917].start 23846.886
transcript.whisperx[917].end 23863.131
transcript.whisperx[917].text 議員議員議員議員
transcript.whisperx[918].start 23864.332
transcript.whisperx[918].end 23875.537
transcript.whisperx[918].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[919].start 23891.823
transcript.whisperx[919].end 23891.843
transcript.whisperx[919].text 委員會議長
transcript.whisperx[920].start 23911.596
transcript.whisperx[920].end 23931.34
transcript.whisperx[920].text 議員議員議員議員
transcript.whisperx[921].start 23931.34
transcript.whisperx[921].end 23958.507
transcript.whisperx[921].text 議員議員議員議員議員
transcript.whisperx[922].start 23961.358
transcript.whisperx[922].end 23979.609
transcript.whisperx[922].text 提案委員都有詢問的,那我們是不是請交通部這邊來做說明是,來跟委員報告有關我們這一項的一個計畫確實是經費其實比去年多了160幾億所以它經費是有大增那確實是誠如李委員剛剛所提的
transcript.whisperx[923].start 23980.089
transcript.whisperx[923].end 23980.309
transcript.whisperx[923].text 國道公路建
transcript.whisperx[924].start 23997.142
transcript.whisperx[924].end 23997.462
transcript.whisperx[924].text 耐震補強規範
transcript.whisperx[925].start 24024.615
transcript.whisperx[925].end 24040.868
transcript.whisperx[925].text 但是現在已經規範到2019了所以我們就按照那些規範的那個來檢討那個橋樑的有錢秩序來做所以橋樑的部分都是以符合至少要符合到2009年的以上的版本那2019年的那個剛修的部分也應該都沒有問題
transcript.whisperx[926].start 24041.508
transcript.whisperx[926].end 24042.589
transcript.whisperx[926].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[927].start 24057.526
transcript.whisperx[927].end 24070.321
transcript.whisperx[927].text 委員剛剛有提到楊梅頭份段的一個拓寬目前在辦用地說明會已經兩梯次的24場的地方說明會都已經開完了那我們會陸續趕快來整理之後來辦理用地徵收
transcript.whisperx[928].start 24072.003
transcript.whisperx[928].end 24097.895
transcript.whisperx[928].text 公聽會的部分用地的部分公聽會已經辦完了那我們要後續盡快來辦理用地徵收那辦理花包的一個作業那委員所關心的東豐南巷部分目前我們在辦那個可新民屋當中明年會有好消息啊就是說我們會把那個整個計畫會抱怨這個部分來跟委員先做一個報告是不是容許我們就是30億就是刪減然後不要凍結不要凍結那我們到時候還是
transcript.whisperx[929].start 24099.659
transcript.whisperx[929].end 24107.044
transcript.whisperx[929].text 我們就來做一個處理,就是針對固定資產建設改良擴充,我們就刪減10億元,然後就不予凍結,然後針對我們魯昭維關心的部分,我們請這個公路局這邊要提書面報告,好不好?好,謝謝
transcript.whisperx[930].start 24125.663
transcript.whisperx[930].end 24127.987
transcript.whisperx[930].text 第三十案 媒體政策及業務宣導費
transcript.whisperx[931].start 24141.969
transcript.whisperx[931].end 24161.56
transcript.whisperx[931].text 沒有的話我們就請公路局做說明好了我這邊報告就是說我們這個案子我們做工程的部分像我有一百八十三個交通道每一個交通道至少有四支交通道他如果在施工的時候都是半夜他就要封路來做施工那這個情形之下我們就要去做宣導過去我們都是直接在工程管理會裡面支
transcript.whisperx[932].start 24162.08
transcript.whisperx[932].end 24179.177
transcript.whisperx[932].text 目前來講,主席總書要求我們說你只要有宣導的這些東西你就要單獨名列出來他的預算所以我們五個分局每個分局編50萬的那個宣導費用那都是在工程管理費用向下以上的報告我看沒有意見啦因為只剩骨頭250萬
transcript.whisperx[933].start 24184.335
transcript.whisperx[933].end 24186.876
transcript.whisperx[933].text 三十一案遵照辦理
transcript.whisperx[934].start 24208.942
transcript.whisperx[934].end 24220.211
transcript.whisperx[934].text 三十二案-遵照辦理三十三-遵照辦理三十四-遵照辦理三十五-遵照辦理三十六-遵照辦理三十七-遵照辦理
transcript.whisperx[935].start 24231.86
transcript.whisperx[935].end 24235.962
transcript.whisperx[935].text 第39案-遵照辦理第40案-遵照辦理第41案-遵照辦理第42案-遵照辦理第42案-遵照辦理
transcript.whisperx[936].start 24254.482
transcript.whisperx[936].end 24279.916
transcript.whisperx[936].text 好那個魯昭偉同意改書面報告好43案遵照辦理44案遵照辦理45案遵照辦理45案是那個林國城委員的他一直關心說那個待遇的部分啊那我們會提書面報告提書面報告那個林國城委員是可以啊這是我們改書面報告我們會來處理啦
transcript.whisperx[937].start 24282.008
transcript.whisperx[937].end 24292.411
transcript.whisperx[937].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金
transcript.whisperx[938].start 24313.317
transcript.whisperx[938].end 24315.639
transcript.whisperx[938].text 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[939].start 24340.612
transcript.whisperx[939].end 24341.372
transcript.whisperx[939].text 處理署發布資安署預算案休息5分鐘
transcript.whisperx[940].start 24367.568
transcript.whisperx[940].end 24393.281
transcript.whisperx[940].text 二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預算案基金-國道公路建二、繼續審查114年度中央政府總預
transcript.whisperx[941].start 24397.543
transcript.whisperx[941].end 24398.967
transcript.whisperx[941].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[942].start 24409.047
transcript.whisperx[942].end 24411.028
transcript.whisperx[942].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[943].start 24432.952
transcript.whisperx[943].end 24434.913
transcript.whisperx[943].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[944].start 24452.424
transcript.whisperx[944].end 24462.854
transcript.whisperx[944].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[945].start 24476.992
transcript.whisperx[945].end 24481.196
transcript.whisperx[945].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建
transcript.whisperx[946].start 24585.56
transcript.whisperx[946].end 24611.071
transcript.whisperx[946].text 好,那我們現在繼續開會那我在這邊先補充介紹速發部列席人員首先是我們部長黃燕蘭部長謝謝還有我們主計處吳俊鈺處長謝謝還有我們數位產業署的代理署長林俊秀署長謝謝還有我們資通安全署謝翠娟署長謝謝
transcript.whisperx[947].start 24612.892
transcript.whisperx[947].end 24613.873
transcript.whisperx[947].text 行政院主計總處公務預算處專門委員黃子涵專委基金預算處科長李正道
transcript.whisperx[948].start 24650.941
transcript.whisperx[948].end 24659.271
transcript.whisperx[948].text 提案委員 林國成第一幕 一般行政
transcript.whisperx[949].start 24665.129
transcript.whisperx[949].end 24688.638
transcript.whisperx[949].text 好謝謝因為這個因為上一次我已經執行過了哈已經執行過那這個部分啊我是比較建議啊像這類的東西應該是還是要在整個年度希望要要要把它編組了所以這個部分啊哈也就是人員跟人是會這個部分啊
transcript.whisperx[950].start 24689.358
transcript.whisperx[950].end 24711.518
transcript.whisperx[950].text 我還是建議把它編組,但是我還是建議凍結一下才知道他們有沒有在做。以上。好,那這個第一幕的部分,如果沒有其他委員有意見的話,我們就是來請那個訴發部自案書這邊先做一個說明好了。
transcript.whisperx[951].start 24713.148
transcript.whisperx[951].end 24713.548
transcript.whisperx[951].text 委員會主席
transcript.whisperx[952].start 24735.683
transcript.whisperx[952].end 24757.913
transcript.whisperx[952].text 有各種訓練員工跟轉職系的方式所以非常謝謝委員那我們願意寫一份報告給委員瞭解好那凍結可以嗎因為你要寫書面不要書面報告就是凍結凍結然後書面報告後就可以凍資啦凍一千萬
transcript.whisperx[953].start 24761.328
transcript.whisperx[953].end 24764.676
transcript.whisperx[953].text 但是,欸,洞傑...對,好,那...
transcript.whisperx[954].start 24769.163
transcript.whisperx[954].end 24769.344
transcript.whisperx[954].text 第二幕資通安全業務
transcript.whisperx[955].start 24794.085
transcript.whisperx[955].end 24799.947
transcript.whisperx[955].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[956].start 24816.425
transcript.whisperx[956].end 24843.984
transcript.whisperx[956].text 好那這部分我們是不是有提案的委員要不要來徵詢我們林國成委員這裡的部分我是主張要刪兩億因為這裡手邊的預算手邊的預算我是認為在這個部分是一定要去刪因為我看那裡面編的預算是蠻浮邊的這個是以上我個人的看法
transcript.whisperx[957].start 24845.438
transcript.whisperx[957].end 24846.319
transcript.whisperx[957].text 法定人數不足
transcript.whisperx[958].start 24872.737
transcript.whisperx[958].end 24883.246
transcript.whisperx[958].text 議員議員提的案子說我們在好幾個地方你有看到那個相關的會議那我先快速的跟您報告一下我們這些會議
transcript.whisperx[959].start 24884.167
transcript.whisperx[959].end 24892.633
transcript.whisperx[959].text 為什麼會編會議費?就是會議的審查費第一個我們必須要開自動安全匯報然後我們也有跟各個部會分享的NISEC的會議然後我們要跟國際分享的那個資安探索會議另外因為我們危害國家資通訊產品未來可能必須要審查所以有審議的會議那我們也有補助給地方政府所以地方政府的每個計畫都要審查那個也會有20場
transcript.whisperx[960].start 24913.029
transcript.whisperx[960].end 24941.254
transcript.whisperx[960].text 議員議員議員議員議員議員
transcript.whisperx[961].start 24942.057
transcript.whisperx[961].end 24947.199
transcript.whisperx[961].text 三十場所以跟委員報告其實我們沒有重複編列拜託請委員支持
transcript.whisperx[962].start 24951.991
transcript.whisperx[962].end 24959.656
transcript.whisperx[962].text 提案委員邱若驊委員本案是新設計劃,相關的成效皆會維持,有浮邊之餘率,希望能做滾動式修正,要求凍結20%,也要求資安署提出成效報告。
transcript.whisperx[963].start 24984.087
transcript.whisperx[963].end 25006.544
transcript.whisperx[963].text 議員議員議員議員議員議員
transcript.whisperx[964].start 25007.845
transcript.whisperx[964].end 25034.085
transcript.whisperx[964].text 感謝主席那本席第28案是關於電子簽章法三讀過後速發部推行智慧化的政府電子簽章在政府部門我看那個部長好像還有點沒有wake up現在第二幕報告主席我
transcript.whisperx[965].start 25036.541
transcript.whisperx[965].end 25064.439
transcript.whisperx[965].text 報告主席,我這邊先整理一下好不好,抱歉。第三十案還有第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十案跟第三十
transcript.whisperx[966].start 25065.699
transcript.whisperx[966].end 25068.101
transcript.whisperx[966].text 議員主席主席
transcript.whisperx[967].start 25082.551
transcript.whisperx[967].end 25108.097
transcript.whisperx[967].text 議員議員議員議員
transcript.whisperx[968].start 25108.982
transcript.whisperx[968].end 25109.642
transcript.whisperx[968].text 法定人數不足
transcript.whisperx[969].start 25136.647
transcript.whisperx[969].end 25154.65
transcript.whisperx[969].text 議員議員議員
transcript.whisperx[970].start 25162.755
transcript.whisperx[970].end 25166.521
transcript.whisperx[970].text 因明年就是因為自動安修法可能會過
transcript.whisperx[971].start 25169.622
transcript.whisperx[971].end 25178.667
transcript.whisperx[971].text 三、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[972].start 25198.479
transcript.whisperx[972].end 25199.759
transcript.whisperx[972].text 處理第15至31案處理15至21有關綜合規劃管理的部分
transcript.whisperx[973].start 25228.775
transcript.whisperx[973].end 25232.538
transcript.whisperx[973].text 我主要是針對22案、27案跟28案、3案。22案主要是針對的是所謂的違辦費那這邊綜合規劃其實老實說我會覺得是說這個沒有到違辦的成效其實不是很好
transcript.whisperx[974].start 25257.756
transcript.whisperx[974].end 25261.68
transcript.whisperx[974].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路建
transcript.whisperx[975].start 25274.831
transcript.whisperx[975].end 25297.644
transcript.whisperx[975].text 那個時候那個部長也在嘛,我是說這個這個E-mail防治系統跟各方面的系統是不是真的需要那麼多而且這方面這方面所謂的這個防詐各方面的這些這些費用我們慌不啷噹的就一次就直接編了將近一億兩千萬那我會覺得是說這個上面來講我們需要一個專題報告然後到那我們知道說到底是這個錢是怎麼用的
transcript.whisperx[976].start 25298.564
transcript.whisperx[976].end 25327.399
transcript.whisperx[976].text 畢竟來講一億兩千萬但是我們也知道這資安系統的攻擊是一直不停的過來的所以我在這邊願意提議凍結百分之五十而且要提出六個月之內提出專案報告另外一方面來講也同樣的也是這個二十八案其實也是一樣中和國道管理上面來講是沒有說要打造堅韌安全可信賴的智慧國家政策但是當我們知道說這次那個詐騙的時候詐騙的實際上是目前相對猖獗的
transcript.whisperx[977].start 25327.739
transcript.whisperx[977].end 25327.759
transcript.whisperx[977].text 虛擬貨幣詐騙53億元
transcript.whisperx[978].start 25341.839
transcript.whisperx[978].end 25360.701
transcript.whisperx[978].text 好謝謝林佩祥委員那葛如君委員好謝謝主席那本席這邊關注第30案是關於整體政府的資通安全防禦的強化那根據抒發部提供的資料113年度截至9月份為止
transcript.whisperx[979].start 25361.482
transcript.whisperx[979].end 25383.735
transcript.whisperx[979].text 之安事件的通報件數高達1329件是108年以來史上最高比108年的通報數708件成長87%那其實令本席最擔憂的是三級之安事件的通報數本來在過去的幾年是有控制的
transcript.whisperx[980].start 25384.936
transcript.whisperx[980].end 25393.302
transcript.whisperx[980].text 從108年的33件那111年稍微提起來到64件112年63件但是113年只統計到8月就有157件這個很可能是200%、300%甚至是400的暴增
transcript.whisperx[981].start 25404.43
transcript.whisperx[981].end 25421.588
transcript.whisperx[981].text 這是一個非常需要當心的警訊因為在往上一集我相信部長應該很清楚市級資安事件就是動搖國本資安署往往可能會用一句就是說鼓勵各部會進行資安通報或者查無不法
transcript.whisperx[982].start 25422.068
transcript.whisperx[982].end 25437.679
transcript.whisperx[982].text 或者沒有資安的問題等等其實我們真的是希望應該要好好的來檢討跟協作政府部門的資安防護到底有什麼根本的問題不然只到8月份就有231件的三級資安事件
transcript.whisperx[983].start 25439.58
transcript.whisperx[983].end 25458.845
transcript.whisperx[983].text 那發生事急事案事件包括公務機密、敏感資訊或涉及關鍵基礎設施違運之核心業務資訊遭嚴重洩漏或國家機密遭洩漏可能是時間早晚的問題或甚至已經發生我們可能沒有發現喔因為我在非常多次的質詢的時候跟這個速發部質詢我們都問了
transcript.whisperx[984].start 25462.346
transcript.whisperx[984].end 25490.52
transcript.whisperx[984].text 議員議員議員議員議員議員
transcript.whisperx[985].start 25490.66
transcript.whisperx[985].end 25490.78
transcript.whisperx[985].text 議員主席
transcript.whisperx[986].start 25521.618
transcript.whisperx[986].end 25537.807
transcript.whisperx[986].text 好我這邊提了有三個案子那第一個案子是第16案16案的部分主要是針對於我們在113年其實上連續好幾年從我們數位部成立之後
transcript.whisperx[987].start 25538.627
transcript.whisperx[987].end 25541.409
transcript.whisperx[987].text 國安部資訊外宣資訊外宣資訊外宣資訊外宣資訊外宣資訊外宣
transcript.whisperx[988].start 25561.22
transcript.whisperx[988].end 25582.568
transcript.whisperx[988].text 議員議員議員議員議員
transcript.whisperx[989].start 25582.668
transcript.whisperx[989].end 25606.679
transcript.whisperx[989].text 委辦費 委辦費其實我們通常都比較有意見委辦費有它的必要性但是你委辦費比去年增加了一倍多那問題是我們也是希望你們內部要補人嘛補齊而且我想署長也好部長也說補到的人才都是有限定的都有專業的都有能力的
transcript.whisperx[990].start 25607.039
transcript.whisperx[990].end 25630.265
transcript.whisperx[990].text 議員議員議員議員議員議員
transcript.whisperx[991].start 25631.61
transcript.whisperx[991].end 25642.393
transcript.whisperx[991].text 政府資通安全防護計畫的補助對國內團體的補助,是補助治安院嗎?全部的錢都他的嗎?全部治安院的院長有來嗎?沒來,就是準備領錢沒事,他審預算是不受監督的啊?去年用的錢問責要講一下吧,治安院今天有人來嗎?
transcript.whisperx[992].start 25659.147
transcript.whisperx[992].end 25659.307
transcript.whisperx[992].text 委員會主席
transcript.whisperx[993].start 25670.236
transcript.whisperx[993].end 25672.497
transcript.whisperx[993].text 法定人數不足
transcript.whisperx[994].start 25698.809
transcript.whisperx[994].end 25723.68
transcript.whisperx[994].text 委員長,問不清楚,那這個要補助款的話,我們就是保留碼、協商碼,就這樣。林國成委員剛剛有先舉手,你要先再問嗎?那再請那個葛國均委員,謝謝。好,那個本期有15案、22案、23案、25案,基本上我都是主張三預算的。但是在這裡我特別提醒署長跟部長,當初你們來收名的時候,有些
transcript.whisperx[995].start 25724.48
transcript.whisperx[995].end 25751.834
transcript.whisperx[995].text 議員議員議員議員
transcript.whisperx[996].start 25752.214
transcript.whisperx[996].end 25777.16
transcript.whisperx[996].text 二、繼續審查114年度中央政府總預算案關於交通部總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基
transcript.whisperx[997].start 25779.321
transcript.whisperx[997].end 25780.261
transcript.whisperx[997].text 一千萬左右。
transcript.whisperx[998].start 25796.22
transcript.whisperx[998].end 25816.206
transcript.whisperx[998].text 好那謝謝林國成委員接下來邀請葛如君委員謝謝主席我這邊補充一下齁那我本席這邊第30案齁我想也是資安這邊有關的議題但是我想資安署沒有來齁我覺得這樣子啊不我說資安院沒有來啦齁那我想這個對資安的這個重視的程度會讓人非常憂心啦齁
transcript.whisperx[999].start 25816.872
transcript.whisperx[999].end 25821.937
transcript.whisperx[999].text 公務加上前瞻也只有12.5億本來本席是說不刪減予以凍結但是我想希望能夠待會的說明能夠有點誠意否則我會希望支持有刪減想法的其他委員
transcript.whisperx[1000].start 25838.491
transcript.whisperx[1000].end 25863.865
transcript.whisperx[1000].text 另外我們也在這個提案這個預算提案的資料說明當中其實我們也有感覺到這個資安及國安變成只是口號的這個狀況那我們在提案的時候我們就有說請資安署應該用公司協力的方式來辦理資安機和工房等業務結果我們得到的回覆是你們的相關的這些所謂的外部的人員的協力其實只是在協力說
transcript.whisperx[1001].start 25865.706
transcript.whisperx[1001].end 25889.194
transcript.whisperx[1001].text 看哪裡有問題提供建議第一是你們這個外部的委員其實領選的機制也是非常隨機的誰有空誰就來那十個人來了以後呢這個說哪裡哪裡有問題提出來了以後到底有沒有解決結果呢竟然是你們找中央目的事業的主管機關也就是你們自己治安署來看有沒有解決
transcript.whisperx[1002].start 25890.074
transcript.whisperx[1002].end 25890.574
transcript.whisperx[1002].text 此外,此外,此外,此外,此外,此外,此外
transcript.whisperx[1003].start 25908.847
transcript.whisperx[1003].end 25934.393
transcript.whisperx[1003].text 好,謝謝,那我們剛剛有請那個資安院院長趕過來先要過來了嘛,那我們署長先說明,謝謝非常謝謝各位委員的支持那因為這個科目15到31我一起就順著講下來這樣可以嗎首先是15
transcript.whisperx[1004].start 25936.479
transcript.whisperx[1004].end 25948.738
transcript.whisperx[1004].text 那我要跟委員報告是說其實這一個項目就是我們完全有有好好拿近一點
transcript.whisperx[1005].start 25950.322
transcript.whisperx[1005].end 25979.584
transcript.whisperx[1005].text 那要跟委員報告的是說因為我們的工作是以資安署要帶的是7650個附屬單位所以應該說7650個政府機關他是資安法納管所以這些政府機關跟特飛機關我們所有開發的系統跟軟體都必須要是大家共用所以要跟委員就一個一個報告下來就是第一個我們第15案其實我們做的
transcript.whisperx[1006].start 25981.193
transcript.whisperx[1006].end 25987.455
transcript.whisperx[1006].text 檢測跟防禦機制都是全部的7650個機關都共用的那16案我快速的講如果能夠補充的不夠清楚再請委員指正那16案因為委員有講到說我們宣傳了那麼久了那為什麼國防部還有一個這樣子的案子嗎那跟委員報告第一個我們現在在做資料就是資料機敏的傳輸的機制
transcript.whisperx[1007].start 26005.06
transcript.whisperx[1007].end 26024.309
transcript.whisperx[1007].text 議員議員議員
transcript.whisperx[1008].start 26024.569
transcript.whisperx[1008].end 26053.279
transcript.whisperx[1008].text 在內部傳其實也會被偵測到那另外就是也是有訓練的問題所以委員我也知道說訓練永遠都有新人嘛所以我們永遠都必須一直的講說有個資你不能拿到網路上傳那也請委員支持讓我們繼續新人進來我們也必須訓練他那另外就是在那個17案的部分有人才的缺口的這部分我也快速的跟委員報告一下
transcript.whisperx[1009].start 26056.374
transcript.whisperx[1009].end 26085.285
transcript.whisperx[1009].text 能不能跟蔡常委員解釋一下?好!是!是!是!喔!喔!喔!喔!是!瞭解!瞭解!是!瞭解!瞭解!那剛剛委員有...有問到第10...呃...第22案第22案有一個延期就是...呃...是那個...那個林委員有問到的那這個部分其實要跟委員報告就是說呃...我們不是...我們自己的人而已因為我們一直發現有新的
transcript.whisperx[1010].start 26086.005
transcript.whisperx[1010].end 26093.61
transcript.whisperx[1010].text 新的議題發生比如說AI產生了那麼AI上面我要怎麼防禦人家用AI攻擊我那我得要知道我要怎麼防禦這一段我們得要交所有的7650個機關比如說雲端現在又跑到雲了那雲也不是自己維護那我應該要怎麼防禦才能讓我的資料夠安全那比如說IOT以前沒有用那麼多可是現在幾乎所有的設備都是IOT所以跟委員報告說我們為什麼有一個新的
transcript.whisperx[1011].start 26115.145
transcript.whisperx[1011].end 26131.766
transcript.whisperx[1011].text 議員議員議員
transcript.whisperx[1012].start 26131.846
transcript.whisperx[1012].end 26156.303
transcript.whisperx[1012].text 然後另外那個盧委員您也問到了同一題所以我是跟委員報告因為有新的新的服務跟新的技術出來那我還是得以自然屬的角色我還是得要知道各國怎麼做那我也要找出真正的防禦機制倒不是運用這個技術去發展新的服務但是如果它上面有漏洞我也得要想辦法做防禦那另外就是
transcript.whisperx[1013].start 26158.049
transcript.whisperx[1013].end 26186.444
transcript.whisperx[1013].text 二十五案林委員有問到說我們有編這個策略會議那我要跟委員報告為什麼二十五案我們這一部分的錢會變多因為我們在資安法修法之後要開始做危害國家資通訊安全產品危害國家資安產品的審議那這個審議不是資安署或者任何人隨便說這個可以用或不可以用我們一定要有情資分享那我們也一定要合理的經過了那個外部的討論跟
transcript.whisperx[1014].start 26187.984
transcript.whisperx[1014].end 26207.194
transcript.whisperx[1014].text 專業的機關的討論機制所以這個審議我們預估會非常多場所以這一部分的經費就是我們為了要做這件事必須要有相對的經費那剛剛那個林沛翔委員有問到就是27案那27案的這個要跟委員特別報告委員有關心說
transcript.whisperx[1015].start 26208.746
transcript.whisperx[1015].end 26229.121
transcript.whisperx[1015].text 議員議員議員議員
transcript.whisperx[1016].start 26229.923
transcript.whisperx[1016].end 26246.408
transcript.whisperx[1016].text 議員議員議員議員
transcript.whisperx[1017].start 26246.912
transcript.whisperx[1017].end 26247.872
transcript.whisperx[1017].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1018].start 26264.232
transcript.whisperx[1018].end 26276.201
transcript.whisperx[1018].text 任何的有任何的惡意的中繼站或者是有任何的漏洞我除了要求機關自己要修補之外我必須要在整個GSN那邊去做偵測然後有沒有人其實沒修補好我從外部才可以看得到所以這一段偵數也必須做相對的工作這個真的要請委員支持因為我們現在有7650個機關被納管
transcript.whisperx[1019].start 26287.91
transcript.whisperx[1019].end 26310.623
transcript.whisperx[1019].text 議員議員議員議員議員
transcript.whisperx[1020].start 26310.783
transcript.whisperx[1020].end 26325.127
transcript.whisperx[1020].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基
transcript.whisperx[1021].start 26340.834
transcript.whisperx[1021].end 26342.035
transcript.whisperx[1021].text 公路基金-國道公路建公路基金-國道公路基金-國道公路基金
transcript.whisperx[1022].start 26359.4
transcript.whisperx[1022].end 26361.421
transcript.whisperx[1022].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1023].start 26375.891
transcript.whisperx[1023].end 26375.911
transcript.whisperx[1023].text 委員會議
transcript.whisperx[1024].start 26391.138
transcript.whisperx[1024].end 26397.481
transcript.whisperx[1024].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1025].start 26420.857
transcript.whisperx[1025].end 26420.877
transcript.whisperx[1025].text 委員會議員
transcript.whisperx[1026].start 26434.956
transcript.whisperx[1026].end 26435.857
transcript.whisperx[1026].text 國安委員會委員會委員會
transcript.whisperx[1027].start 26464.272
transcript.whisperx[1027].end 26467.773
transcript.whisperx[1027].text 請大家也不要忘了因為數位部所有東西本來資安的東西是比較籠統
transcript.whisperx[1028].start 26484.934
transcript.whisperx[1028].end 26503.76
transcript.whisperx[1028].text 三、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建三、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建三、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建三、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建
transcript.whisperx[1029].start 26516.216
transcript.whisperx[1029].end 26532.708
transcript.whisperx[1029].text 市役托的經費,我想資安、道安都是很重要的國人關切的議題不管資安或是道安,這個經費看能不能3.1千萬、凍結10%、提書面報告
transcript.whisperx[1030].start 26538.852
transcript.whisperx[1030].end 26539.753
transcript.whisperx[1030].text 二、繼續審查114年度中央政府總預算
transcript.whisperx[1031].start 26563.311
transcript.whisperx[1031].end 26575.138
transcript.whisperx[1031].text 不好意思補充一下其他這個你們同意我沒有意見啊但是這個剔除掉這個獎補助費對國內團體的補助啊這個部分送協商啦好不好那到時候請那個院長再報告一下
transcript.whisperx[1032].start 26578.752
transcript.whisperx[1032].end 26583.453
transcript.whisperx[1032].text 關於交通部主管交通作業基金-國道公路建關於交通部主管交通作業基金-國道公路建
transcript.whisperx[1033].start 26600.706
transcript.whisperx[1033].end 26613.374
transcript.whisperx[1033].text 他在搞啊?快到了路上快到了啦在哪裡?在幾分鐘?減1000萬然後動10%這點我們認同但是說現在人沒有來嘛老實說真的蔣補助蔣補助基本上就是很複雜的事情嘛好啦他就說我們叫他就趕過來他說在15分鐘內趕到啦
transcript.whisperx[1034].start 26629.769
transcript.whisperx[1034].end 26631.21
transcript.whisperx[1034].text 徐富奎委員
transcript.whisperx[1035].start 26660.242
transcript.whisperx[1035].end 26664.823
transcript.whisperx[1035].text 徐副委員徐副委員徐副委員徐副委員徐副委員徐副委員徐副委員徐副委員徐副委員徐副委員
transcript.whisperx[1036].start 26687.573
transcript.whisperx[1036].end 26688.193
transcript.whisperx[1036].text 徐副國務委員提問第42
transcript.whisperx[1037].start 26703.746
transcript.whisperx[1037].end 26705.048
transcript.whisperx[1037].text 委員會主席委員會主席委員會主席委員會主席
transcript.whisperx[1038].start 26721.65
transcript.whisperx[1038].end 26738.886
transcript.whisperx[1038].text 但是因為整體我們在外面所平均聽到的一個感覺效率跟民眾的期待感覺沒有很好那政府機關的一個治安的一個防護也也沒有達到預期啦所以我這邊的一個提案是3減2500萬針對5000萬3減2500萬凍結50%那就全部沒有了謝謝
transcript.whisperx[1039].start 26754.269
transcript.whisperx[1039].end 26780.27
transcript.whisperx[1039].text 主席因為我32案這裡特別就是他們也是這個委辦的這個部分還有人員的訓練這個部分我覺得人員訓練的是太少了這個我們在執行的時候都執行了老半天結果你們在說明的時候也不把它說明清楚所以本席也是主張說這個部分還是要刪的
transcript.whisperx[1040].start 26781.431
transcript.whisperx[1040].end 26789.537
transcript.whisperx[1040].text 因為我是教有理性的3、500萬3、500萬這個稀募7490萬3、500萬3、500萬總結5000萬這樣他們要怎麼做工作你說他們訓練太少了,這樣他們還沒辦法訓練啊
transcript.whisperx[1041].start 26809.656
transcript.whisperx[1041].end 26818.49
transcript.whisperx[1041].text 我們等下就病案處理啦,好不好?還有沒有委員要提問?如果沒有,我們就先請那個治安署署長來說明。
transcript.whisperx[1042].start 26820.899
transcript.whisperx[1042].end 26845.01
transcript.whisperx[1042].text 好,非常謝謝委員關心那個人員訓練這一塊我要跟委員報告這一個的委辦費就是今年特別資安署新接的工作因為我們之前是我們的訓練是育才、留才、攬才育才是資安職能訓練這本來資安署就有在做我們的那個資安長啊或資安職能的訓練或者是資安趨勢的說明這本來就有在做那留才的部分我們今年會想要
transcript.whisperx[1043].start 26847.707
transcript.whisperx[1043].end 26853.933
transcript.whisperx[1043].text 預財是延續性的但這個是新的新界的工作我要講說那預財是延續性的
transcript.whisperx[1044].start 26863.712
transcript.whisperx[1044].end 26884.241
transcript.whisperx[1044].text 議員議員議員議員
transcript.whisperx[1045].start 26884.241
transcript.whisperx[1045].end 26914.172
transcript.whisperx[1045].text 議員議員議員議員議員議員
transcript.whisperx[1046].start 26915.403
transcript.whisperx[1046].end 26929.731
transcript.whisperx[1046].text 學生他自己就近北中南選學校上課然後只要他拿到學分的那個審查合格也可以轉成資訊直系的話他就可以得到學分的補助但是有條件的
transcript.whisperx[1047].start 26930.652
transcript.whisperx[1047].end 26950.545
transcript.whisperx[1047].text 所以這一塊要跟委員報告說因為真的資安人才非常的少所以我們新接了一個轉職系的工作那我們希望跟全國的大專院校合作請他們幫我們栽培各地因為大家分散在全國所以不可能來台北他就就近在他那邊上課取得學分那那個學分只要他考試及格有交報告經過全序部認可的話我們會補助他學分費
transcript.whisperx[1048].start 26957.329
transcript.whisperx[1048].end 26972.995
transcript.whisperx[1048].text 議員議員議員
transcript.whisperx[1049].start 26973.115
transcript.whisperx[1049].end 26993.307
transcript.whisperx[1049].text 那真的是需要委員的支持是他每一筆經費其實都不是花在資安署也不是花在資安署要聘人的身上就是要給全國那些想要轉職系的人可以讓他去學就近跟大學修相關的學分但是要經過合格學校認給學分而且要全序部認可我們才會讓他可以轉職系
transcript.whisperx[1050].start 26996.269
transcript.whisperx[1050].end 27021.879
transcript.whisperx[1050].text 好那個那個謝書長我再再度請教你一下這一千人你看起來這個叫做畫餅政策啦畫餅政策所以可以做但是你如何去做從來沒有講說你們應該怎麼做所以我們魯超七人已經講說喔補助他們做高鐵我跟你講這個叫做空洞所以我我坦白講啦
transcript.whisperx[1051].start 27022.919
transcript.whisperx[1051].end 27039.329
transcript.whisperx[1051].text 你們剛開始你們也不曉得其實收服委員預算就簡單你們不能收服委員說實在我們就一例一例我們就會有砍預算的這種做法所以我還是建議我還是建議
transcript.whisperx[1052].start 27040.47
transcript.whisperx[1052].end 27064.25
transcript.whisperx[1052].text 比較簡單一點讓召集人有一點對事情處理的比較簡單化我希望有委員在問如何做的時候你們針對問題去答覆不要那種話柄衝擊的政策這樣不好所以我還是建議啦我還是建議該刪的刪阿其他的部分就讓他們去做該支持的我們去支持這樣可能會比較好
transcript.whisperx[1053].start 27065.629
transcript.whisperx[1053].end 27066.69
transcript.whisperx[1053].text 主席,你們補助同學修資訊資安
transcript.whisperx[1054].start 27082.389
transcript.whisperx[1054].end 27097.213
transcript.whisperx[1054].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1055].start 27110.496
transcript.whisperx[1055].end 27111.716
transcript.whisperx[1055].text 報告委員首先是公務人員
transcript.whisperx[1056].start 27134.841
transcript.whisperx[1056].end 27143.408
transcript.whisperx[1056].text 然後我們已經調查過有一千三百個公務人員希望能夠轉職系訓練轉成資訊或資安人員那全國的資訊資安都缺乏所以我們讓機關首長推薦他們的人願意去學習的話我們給所以牽涉條件是公務人員是公務人員去某個學校去報名至少要學兩個這個
transcript.whisperx[1057].start 27158.919
transcript.whisperx[1057].end 27160.741
transcript.whisperx[1057].text 二、繼續審查114年度中央政府總預算案關於交通部中央政府總預算案附屬單位預算
transcript.whisperx[1058].start 27182.096
transcript.whisperx[1058].end 27182.756
transcript.whisperx[1058].text 議員報告我們現在正在努力。
transcript.whisperx[1059].start 27204.582
transcript.whisperx[1059].end 27224.496
transcript.whisperx[1059].text 三檢然後凍結你這個東西一定要說清楚啊到底未來的貢獻為什麼他回到各單位你總是要有一些束縛嘛你學了這個之後回去貢獻願意接資安單位的資安工作他願意嗎要願意接資安工作他才能拿到最後的補助款沒有沒有沒有錢是自己先付
transcript.whisperx[1060].start 27233.772
transcript.whisperx[1060].end 27245.857
transcript.whisperx[1060].text 主席主席主席我建議3-500凍結20%我建議3-500凍結20%不然的話說真的不然的話我們就把這個提到大院去好了請其他政黨協商好了因為老實說越聽我越迷糊
transcript.whisperx[1061].start 27256.605
transcript.whisperx[1061].end 27256.625
transcript.whisperx[1061].text 委員會議
transcript.whisperx[1062].start 27272.555
transcript.whisperx[1062].end 27296.982
transcript.whisperx[1062].text 全國的機關的公務人員就是要加強這個資安人員的培訓就是要轉職系的一個培訓那確實目前各機關因為我也有接觸到有些機關的這個資訊的人員確實是不足所以這個是我們是針對公務人員不是針對體制外的一般人所以確實是有那個需求所以我們也尊重委員的提案我們就刪減500萬
transcript.whisperx[1063].start 27298.742
transcript.whisperx[1063].end 27323.42
transcript.whisperx[1063].text 我們凍結10%提書面報告後使得凍支我們就是科目自行調整就是針對第二幕的資通安全業務輔導培訓業務這一個部分我們就做這樣的處理這一個細幕裡面我都知道我要宣布主席不好意思委辦費我們剛剛講的是培訓是輔導培訓業務不包括委辦費吧委辦費兩不一樣
transcript.whisperx[1064].start 27328.2
transcript.whisperx[1064].end 27354.462
transcript.whisperx[1064].text 議員議員議員議員議員
transcript.whisperx[1065].start 27355.859
transcript.whisperx[1065].end 27355.959
transcript.whisperx[1065].text 主席
transcript.whisperx[1066].start 27379.62
transcript.whisperx[1066].end 27380.902
transcript.whisperx[1066].text 關於交通部主管交通作業基金公路建
transcript.whisperx[1067].start 27389.38
transcript.whisperx[1067].end 27414.078
transcript.whisperx[1067].text 好,謝謝那個趙紀仁還有各位委員那資安院是一個行政法人所以是以執行政府交付的任務為最主要的部分那目前我們跟資安署是一個工作夥伴的關係那資安署負責是整個政府的政策法規相關制度的推動
transcript.whisperx[1068].start 27414.818
transcript.whisperx[1068].end 27416.88
transcript.whisperx[1068].text 資安技術研發資安事件通報應變處理、攻防演練等資訊技術應用
transcript.whisperx[1069].start 27430.074
transcript.whisperx[1069].end 27438.177
transcript.whisperx[1069].text 全都由資安署編列相關補助費用來協助推動。成立兩年以來,資安署在國內資安人才相當困難的情況下,延展250個專業。專業人才一方面執行國家重要政策的技術研發通報應變以外,我們也幫企業,特別講幫企業,
transcript.whisperx[1070].start 27460.006
transcript.whisperx[1070].end 27487.726
transcript.whisperx[1070].text 包括中央跟地方的這個相關治安的技術還有執行了一些公防研練每年的治安檢測還有治安服務團都是由治安院這邊依靠這個補助款來推動所以懇請各個委員能夠支持這樣的工作讓我們治安院在目前的人力編鑄還有一些協助從中央到地方還有公事部門的治安的
transcript.whisperx[1071].start 27488.506
transcript.whisperx[1071].end 27498.539
transcript.whisperx[1071].text 推動幫助國家強化數位證券安全以上補充,謝謝好,那針對院長的說明魯明哲教委好,再詢問好,謝謝院長趕過來跟檢要的說明是因為現在250人是滿編嗎?
transcript.whisperx[1072].start 27504.826
transcript.whisperx[1072].end 27528.703
transcript.whisperx[1072].text 來跟那個委員報告不好意思問一下報告委員因為行政法人並沒有向政府有這個所謂的編制原格預算原格所以你們現在大概有多少人力我們大概是250人是根據這個數位部說話部還有治安署的委辦計劃能夠容納的這個人事監會裡面來處理那現在我們治安署編的所有的委辦被
transcript.whisperx[1073].start 27529.804
transcript.whisperx[1073].end 27559.787
transcript.whisperx[1073].text 議員議員議員議員議員
transcript.whisperx[1074].start 27559.907
transcript.whisperx[1074].end 27580.142
transcript.whisperx[1074].text 委辦部分公開部分我們去競標可能除了治安院以外還有其他的法人跟學校也可以去競標以上補充謝謝可是你們現在兩百多人治安院你們有一個幕僚單位、頭部的單位你們還委託一大堆出去不是你我想說署內最後一個問題
transcript.whisperx[1075].start 27581.323
transcript.whisperx[1075].end 27588.324
transcript.whisperx[1075].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1076].start 27616.886
transcript.whisperx[1076].end 27631.693
transcript.whisperx[1076].text 還有部長我特別要提醒一下行政法人只要接受政府之補助通通一定要來累洗你接受我政府的補助
transcript.whisperx[1077].start 27635.701
transcript.whisperx[1077].end 27650.832
transcript.whisperx[1077].text 說實在這跟標案無關欸你知道嗎所以我坦白跟你講跟部長因為你們剛成立不久體制可能至極自設混亂本來立法院只要用到補助也好
transcript.whisperx[1078].start 27652.376
transcript.whisperx[1078].end 27667.765
transcript.whisperx[1078].text 預算一定有關那當然一定要來練習有時候我們審到這個部分你補助是應該要怎麼補助我們要了解這些情況所以我還是建議行政法人還是一定就幾例
transcript.whisperx[1079].start 27668.926
transcript.whisperx[1079].end 27691.381
transcript.whisperx[1079].text 高鐵我們在審預算有時候請他來他也要來啊不是嗎所以這個我還是建議我們大院長啊這個特別觀念啊要互相這是對立法院一個尊重對署裡面幫助署裡面尊重立法院對整個預算是有幫助的不是行政法人就不需要來列席
transcript.whisperx[1080].start 27691.941
transcript.whisperx[1080].end 27710.93
transcript.whisperx[1080].text 不是這樣好不好那謝謝林國成委員的提醒跟建議那我們這裡就來做一個處理那我們也感謝院長趕過來那針對第15到31案資通安全業務綜合規劃管理這一個細目我們就是做成決議刪減1000萬凍結10%提書面報告後使得動之好謝謝
transcript.whisperx[1081].start 27717.036
transcript.whisperx[1081].end 27721.059
transcript.whisperx[1081].text 接下來處理49-56案資通安全業務集合檢查業務這個細目請提案委員提問
transcript.whisperx[1082].start 27735.589
transcript.whisperx[1082].end 27755.879
transcript.whisperx[1082].text 議員議員
transcript.whisperx[1083].start 27756.345
transcript.whisperx[1083].end 27771.259
transcript.whisperx[1083].text 委員拜託我們今年想在集合的部分增加範圍然後而且因為在114年我必須要集合5院就是行政院之外跟地方政府真的恳請委員能夠盡量支持我們我們可不可以交報告就好
transcript.whisperx[1084].start 27777.995
transcript.whisperx[1084].end 27790.785
transcript.whisperx[1084].text 三減兩百三減兩百那就不予凍結我們就在資通安全業務集合檢查業務這邊就做成決議成效率不漲的現在要三兩百而已我是要三一半因為之前成效不漲你們之前是三兩百這個問題
transcript.whisperx[1085].start 27802.261
transcript.whisperx[1085].end 27824.36
transcript.whisperx[1085].text 決議決議決議
transcript.whisperx[1086].start 27825.981
transcript.whisperx[1086].end 27840.863
transcript.whisperx[1086].text 剪短講一下,國外禮費講真的啦,因為我發覺包括了科技辦他們很多出國的方案後面都發覺有我們數位部的同仁
transcript.whisperx[1087].start 27841.864
transcript.whisperx[1087].end 27861.912
transcript.whisperx[1087].text 還有去那我們有接到一些內部的一個訊息齁那我們覺得說因為部長上任的時候特別對於針對於出國的時候啊有特別有說一些啦也有調整了齁那我們就希望我們還是再幫你調整一下那我們針對於呃這個出國外的旅費啊761萬6000元齁呃個人在這裡提案3減50%凍結20%
transcript.whisperx[1088].start 27871.155
transcript.whisperx[1088].end 27900.311
transcript.whisperx[1088].text 好那還有人要提問嗎?沒有我們就請資安署我們縣署長說明委員拜託因為資安署其實資安我們參加國際的工房的合作我大概很難從線上因為有些國家我必須去那邊實際參與比如說藍軍紅軍的攻打所以我一定要派人出去那這一塊資安署的所有的預算都是同仁也沒有
transcript.whisperx[1089].start 27900.691
transcript.whisperx[1089].end 27923.575
transcript.whisperx[1089].text 議員議員議員議員
transcript.whisperx[1090].start 27923.635
transcript.whisperx[1090].end 27924.195
transcript.whisperx[1090].text 國道公路建公路建
transcript.whisperx[1091].start 27939.591
transcript.whisperx[1091].end 27959.505
transcript.whisperx[1091].text 哦不是其實齁我記得前幾年我們對於這個出國尤其在前部長的時候我們對於這些案子非常非常的反感社會觀感是非常非常差的所以說這個案子上面來講如果出國還有跟這方面的業務我們都印象很奇怪的是說我們是訴法部我們是治安署那你現在想說一定要到現場去做這個事情那我們這些設備買來幹嘛
transcript.whisperx[1092].start 27961.642
transcript.whisperx[1092].end 27962.723
transcript.whisperx[1092].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1093].start 27979.054
transcript.whisperx[1093].end 27996.543
transcript.whisperx[1093].text 社會關係不佳早前有關租金的事情,就是一年租十幾萬,那時候我們之前有遇到唐鳳部長租個大樓租個十幾萬,後來大家罵亂七八糟,後來新聞過了可能就沒了,可是事實上來講我們現在就要重新隨時預算
transcript.whisperx[1094].start 27998.76
transcript.whisperx[1094].end 28016.389
transcript.whisperx[1094].text 所以也是這個原因我這邊我也有列出3.4百萬的原因在這裡因為說真的如果說你出國旅費一堆如果說其他地方我不敢講數位發展部你們應該是全台灣最先進科技的公部門然後你們跟我講說你們一定要出國這個我不知道該怎麼去解釋
transcript.whisperx[1095].start 28019.627
transcript.whisperx[1095].end 28020.127
transcript.whisperx[1095].text 李昆哲委員
transcript.whisperx[1096].start 28041.423
transcript.whisperx[1096].end 28063.914
transcript.whisperx[1096].text 那其實疫情的衝擊是我們很不好的一個感受的記憶但是視訊會議又是一個特別的記憶當然在疫情期間是不得不的一種作為但是實際上現在的這種會議有它的必要性如果可以視訊的當然你都免去
transcript.whisperx[1097].start 28064.794
transcript.whisperx[1097].end 28066.235
transcript.whisperx[1097].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1098].start 28076.315
transcript.whisperx[1098].end 28076.455
transcript.whisperx[1098].text 主席
transcript.whisperx[1099].start 28101.238
transcript.whisperx[1099].end 28106.041
transcript.whisperx[1099].text 那像這一種他跟我交換那個工房的那個技術他就算是我們我們辦我們的CI的那個工房我們也請他實地來我也很不接受線上因為線上很容易東西整個被搬走所以這個要拜託委員就是資安署根本沒有其他的其他什麼訪問什麼的真的沒有我們就是去集合要不然就是要參加工房演練
transcript.whisperx[1100].start 28127.356
transcript.whisperx[1100].end 28127.496
transcript.whisperx[1100].text 或國際情資交換
transcript.whisperx[1101].start 28142.503
transcript.whisperx[1101].end 28143.024
transcript.whisperx[1101].text 國道公路建
transcript.whisperx[1102].start 28159.501
transcript.whisperx[1102].end 28159.921
transcript.whisperx[1102].text 法規及國際合作
transcript.whisperx[1103].start 28191.038
transcript.whisperx[1103].end 28192.519
transcript.whisperx[1103].text 法規及國際合作業務及國外旅遊
transcript.whisperx[1104].start 28212.962
transcript.whisperx[1104].end 28224.559
transcript.whisperx[1104].text 好,那我們就決議就是刪100萬然後科目自行調整就不予凍結好那我們現在就是來接下來處理主決議好我們第65案
transcript.whisperx[1105].start 28226.161
transcript.whisperx[1105].end 28248.358
transcript.whisperx[1105].text 六十六案、六十七案、六十八案、六十九案、七十案、七十一案、七十二案可不可以改成書面報告?
transcript.whisperx[1106].start 28253.809
transcript.whisperx[1106].end 28260.714
transcript.whisperx[1106].text 七十二案改書面報告七十三案可不可以改成書面報告如趙委同意有關速發部資通安全署的114年度單位預算委員提案我們處理完畢謝謝接下來來處理產發署
transcript.whisperx[1107].start 28281.391
transcript.whisperx[1107].end 28307.108
transcript.whisperx[1107].text 議員議員議員議員
transcript.whisperx[1108].start 28334.106
transcript.whisperx[1108].end 28334.547
transcript.whisperx[1108].text 趕快就位好不好
transcript.whisperx[1109].start 28345.095
transcript.whisperx[1109].end 28373.818
transcript.whisperx[1109].text 趕快坐下來該離開的離開該就位的就位好那個剛剛資安署的就先離開了好不好那我們現在就是開始來處理數位產業署那針對稅出第一幕一般行政的部分總共有六案那我們是不是請提案委員有沒有要提問的部分好請林國成委員
transcript.whisperx[1110].start 28376.145
transcript.whisperx[1110].end 28388.973
transcript.whisperx[1110].text 好,謝謝趙委,因為時間的關係啦,我還是主張簡略,49萬5,49萬5好,那其他委員還有沒有要說明,林佩翔委員,謝謝
transcript.whisperx[1111].start 28391.758
transcript.whisperx[1111].end 28409.895
transcript.whisperx[1111].text 我主要針對第三案跟第三案跟第四案第三案就是有關水電費那其實基本上來講這個這個電價不斷上漲所以預確保預算有效使用所以專節政府開源所以減所以說減掉所以凍結50%另外就是我一直很好奇就是2113萬
transcript.whisperx[1112].start 28412.697
transcript.whisperx[1112].end 28420.351
transcript.whisperx[1112].text 一年的其他業務租金我個人認為這個經費會不會太高了一點所以說我希望能夠凍結50%而且專案報告
transcript.whisperx[1113].start 28424.125
transcript.whisperx[1113].end 28452.313
transcript.whisperx[1113].text 好,那我們就請那個林代理署長說明,謝謝主席跟委員好,那跟委員報告一下就是第一個林委員這邊推詢的這個有關49萬5千的這部分是有三個部分那第一個部分是公務車的導航跟環境設備這個因為台影共同公民企業我們當初購買車輛的時候他並沒有相關的設備所以為了這個安全考量這個部分是12萬
transcript.whisperx[1114].start 28453.353
transcript.whisperx[1114].end 28469.394
transcript.whisperx[1114].text 議員議員議員議員議員
transcript.whisperx[1115].start 28469.494
transcript.whisperx[1115].end 28483.341
transcript.whisperx[1115].text 所以大概就是這兩大部分才構成這495,000元希望委員因為這個是為安全跟以及擴增這個會議空間來使用這個都為了公共的一個使用所以希望委員能夠支持
transcript.whisperx[1116].start 28486.451
transcript.whisperx[1116].end 28512.807
transcript.whisperx[1116].text 租金的部分呢?租金的部分是感謝委員垂詢這個我先講水電會好了水電會委員應該大概知道電價調漲還有我們其實這兩年來每年都新增了不少業務在數位承運署的部分所以它會有相對的這些的一些支出那另外租金的部分我想感謝委員的垂詢那租金的部分我們其實包含三個部分
transcript.whisperx[1117].start 28513.587
transcript.whisperx[1117].end 28515.809
transcript.whisperx[1117].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1118].start 28535.247
transcript.whisperx[1118].end 28565.043
transcript.whisperx[1118].text 議員議員議員
transcript.whisperx[1119].start 28565.657
transcript.whisperx[1119].end 28595.589
transcript.whisperx[1119].text 議員議員議員議員
transcript.whisperx[1120].start 28598.835
transcript.whisperx[1120].end 28617.206
transcript.whisperx[1120].text 書面報告,他們會提書面報告。這個有契約嗎?有,他們有契約。契約的話就是時之時付吧?
transcript.whisperx[1121].start 28619.901
transcript.whisperx[1121].end 28640.733
transcript.whisperx[1121].text 對呀,就是這一幕嘛。我們是不是就凍結百分之二十,好啦。就書面報告啦,你還要書面報告。欸,趙偉,我這四十幾萬年,其實它是沒有急迫性的啦。我刪它這些東西是沒有急迫性。
transcript.whisperx[1122].start 28642.754
transcript.whisperx[1122].end 28643.014
transcript.whisperx[1122].text 提案委員說明
transcript.whisperx[1123].start 28671.593
transcript.whisperx[1123].end 28697.981
transcript.whisperx[1123].text 好 謝謝主席簡單說明這個是一個新增的一個計畫然後明年是第一年六千萬但是在整個預算書裡面講的不是根本沒有講不清不楚就要拿六千萬覺得這個產業署在很多編預算的過程都出現這樣的一個問題很含混的就想要拿預算我想這個部分這個我是個人這邊三減兩千萬凍結反正二十希望你們
transcript.whisperx[1124].start 28700.922
transcript.whisperx[1124].end 28725.057
transcript.whisperx[1124].text 鼓勵你們以後編預算的時候把它寫清楚。以上。好,那林培祥委員有要說嗎?沒有了。好,那我們這邊林署長說明一下。好,跟趙偉跟委員報告。這個計畫是我們數位公共建設,就是虛擬世界的造橋鋪路。我們在實體設計造橋鋪路讓各個企業所數位的公共空間也需要能夠做公共建設。
transcript.whisperx[1125].start 28726.077
transcript.whisperx[1125].end 28742.045
transcript.whisperx[1125].text 各國也在做數位空間的公共建設像日本就有虛擬社股還有巴黎有巴黎聖母鏈在數位空間的使用很多企業都很期盼
transcript.whisperx[1126].start 28744.631
transcript.whisperx[1126].end 28761.497
transcript.whisperx[1126].text 國內的國際大廠其實也投入像數位雙生、元宇宙等等而我們在明年會建兩個示範案例這個示範案例是因為我們沒有做過所以要做完之後這個當中也會找地方政委來一起參與因為後年開始就是地方政委要來參加的
transcript.whisperx[1127].start 28764.058
transcript.whisperx[1127].end 28787.468
transcript.whisperx[1127].text 該基金會會下放到地方政府所以有地方政府後年開始就來申請所以明年我們會帶訓也算是培訓這些地方政府能夠開案能夠應用數位空間來創造價值那這個部分這個可以用到電商啊觀光啊數位學習啊等等的我覺得這個是數位空間裡面應該是希望委員會能夠支持那因為它是個新的藍海謝謝
transcript.whisperx[1128].start 28789.889
transcript.whisperx[1128].end 28790.349
transcript.whisperx[1128].text 主席主席
transcript.whisperx[1129].start 28817.988
transcript.whisperx[1129].end 28820.169
transcript.whisperx[1129].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1130].start 28839.395
transcript.whisperx[1130].end 28866.41
transcript.whisperx[1130].text 五百萬。要看魯昭偉。好。OK。好。那魯昭偉同意。那就是三減五百萬然後凍結百分之十提書面報告後時的凍資。好。好。謝謝。那接下來我們處理九到十四案就是業務費的委辦費。總共預算數31億零七七百五十二萬八千元。好。那我們是請提案委員魯明哲昭偉。謝謝。
transcript.whisperx[1131].start 28867.918
transcript.whisperx[1131].end 28887.915
transcript.whisperx[1131].text 好 謝謝主席其實外面都在說我們數位部家大業大財大然後氣也出那但是其實家大財大其實大在我們的產業署錢幾乎都在你這裡那在這個尾半費的部分113年編了21.7億21.7億那今年呢我們看到114年的我們現在審的預算
transcript.whisperx[1132].start 28895.862
transcript.whisperx[1132].end 28898.829
transcript.whisperx[1132].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1133].start 28904.497
transcript.whisperx[1133].end 28926.152
transcript.whisperx[1133].text 議員議員議員議員議員
transcript.whisperx[1134].start 28926.152
transcript.whisperx[1134].end 28949.889
transcript.whisperx[1134].text 議員議員議員議員議員
transcript.whisperx[1135].start 28950.009
transcript.whisperx[1135].end 28963.919
transcript.whisperx[1135].text 第1個有重複性不管是案子的內容跟其他的有重複性第2個是廠商有重複性第3個是標書記的委辦的廠商你們要求他要有駐場人員有沒有住在你們署裡面的
transcript.whisperx[1136].start 28970.222
transcript.whisperx[1136].end 28985.026
transcript.whisperx[1136].text 這是我們接到的罕見,如果是真正的沒有,變成你們的小祕書,但是這尾半分一下多10億,我個人是沒辦法接受,所以我就把大概10億把它調整回來,我是在這裡提出來是3減10億,凍結10%以上
transcript.whisperx[1137].start 28991.155
transcript.whisperx[1137].end 29009.477
transcript.whisperx[1137].text 好 那我們提案委員都有做提問了那在這邊先說明就是11、12、13、14案就是提案委員同意改為主決議案好 那這樣子我們來做一個處理那是不是請我們林署長這邊說明
transcript.whisperx[1138].start 29012.299
transcript.whisperx[1138].end 29037.292
transcript.whisperx[1138].text 陳昭偉跟陸昭偉報告因為數位產業署是幾乎性質上就等同過去我在工業局就經濟部上面他是個產業輔導單位所以他大部分都是協助產業的這首先跟委員報告一下那這9億的增加的部分其實我也可以跟委員再報告一下就是他其實是第一個是5G專頻專網的部分這是我的法定職長
transcript.whisperx[1139].start 29038.68
transcript.whisperx[1139].end 29057.769
transcript.whisperx[1139].text 二、繼續審查114年度中央政府總預算案附屬單位預算公路建二、繼續審查114年度中央政府總預算案附屬單位預算公路建二、繼續審查114年度中央政府總預算案附屬單位預算公路建二、繼續審查114年度中央政府總預算案附屬單位預算公路建二、繼續審查114年度中央政府總預算案附屬單位預算公路建二、繼續審查114年度中央政府總預算案附屬單位預算公路建
transcript.whisperx[1140].start 29066.834
transcript.whisperx[1140].end 29068.817
transcript.whisperx[1140].text 第二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1141].start 29082.955
transcript.whisperx[1141].end 29106.728
transcript.whisperx[1141].text 所以這個都是新的業務,不是就是說請委員支持,不是我們要增加,而是因為太多的新的業務是下放到數位產業署這邊,數位產業署為了達成任務其實是需要一些資金,而且這些都是相當的重要,就對台灣未來的發展,產業的發展相當的重要。以上簡單跟跟委員跟召委報告。
transcript.whisperx[1142].start 29107.971
transcript.whisperx[1142].end 29136.217
transcript.whisperx[1142].text 我們這個項目的預算是新的所以增加10億是都是一些新的科技或者是我們的法定職長法定職長這有沒有可能就是逐年去進行的我們其實因為委員都關注這個議題其實因為如果業務增加我就其實真的是沒有辦法但是如果說
transcript.whisperx[1143].start 29138.018
transcript.whisperx[1143].end 29163.938
transcript.whisperx[1143].text 我們是不是維持到114年的水準之然後以後即使有業務增加我們看能不能在維持一樣同樣維持114年的水準這是我們可以來嘗試看看但是真的把它逐年下降這對我們業務一直增加這個我可能會有困難因為對於數位產業組他還是會有很多新的任務新的科技要研發新的產業要發展這是我可能比較困難的地方
transcript.whisperx[1144].start 29166.518
transcript.whisperx[1144].end 29191.639
transcript.whisperx[1144].text 謝謝林署長的說明,那我們魯昭偉這邊還有一些嗎?這樣啦,我簡單補充一下啦第一個因為你這個如果是增加你們自己的內部的一些業務那也就罷了,因為這是委辦費,就是我給你這個錢你會委託別人就對了會把它委託出去,委託給誰你大概心裡都知道是哪些人了但是坦白講我們是採的沒有很信任的沒有很信任,包括了
transcript.whisperx[1145].start 29192.602
transcript.whisperx[1145].end 29192.782
transcript.whisperx[1145].text 委員會主席
transcript.whisperx[1146].start 29208.08
transcript.whisperx[1146].end 29210.321
transcript.whisperx[1146].text 二、繼續審查114年度中央政府總預算案關於交通部公路局及所屬單位預算
transcript.whisperx[1147].start 29225.766
transcript.whisperx[1147].end 29229.168
transcript.whisperx[1147].text 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建
transcript.whisperx[1148].start 29256.087
transcript.whisperx[1148].end 29265.152
transcript.whisperx[1148].text 三、繼續審查114年度中央政府總預算案關於交通部單位預算
transcript.whisperx[1149].start 29270.401
transcript.whisperx[1149].end 29288.712
transcript.whisperx[1149].text 議員議員議員議員議員
transcript.whisperx[1150].start 29289.733
transcript.whisperx[1150].end 29309.451
transcript.whisperx[1150].text 產業署,他們剛剛署長有說明,那個林代理署長說明,確實他們的這個責任也非常的重大,就是關係到整個產業的輔導也好,或者是之後的專頻專網,等等相關的一些先進的業務。報告委員們,那個有一個重要工作還是因為很多AI的推動。
transcript.whisperx[1151].start 29310.852
transcript.whisperx[1151].end 29317.96
transcript.whisperx[1151].text 在這裡面就是因為這個署要特別去進行因為我們要發展AI的產業產業AI化所以這個東西確實所以希望還是委員支持因為這個東西
transcript.whisperx[1152].start 29325.689
transcript.whisperx[1152].end 29348.537
transcript.whisperx[1152].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金
transcript.whisperx[1153].start 29354.141
transcript.whisperx[1153].end 29354.161
transcript.whisperx[1153].text 委員會審
transcript.whisperx[1154].start 29372.888
transcript.whisperx[1154].end 29377.39
transcript.whisperx[1154].text 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部總預算案附屬單位預算
transcript.whisperx[1155].start 29400.66
transcript.whisperx[1155].end 29402.581
transcript.whisperx[1155].text 第15至19項業務費、旅運費、國外旅費總預算數324萬4千元提案委員有要垂詢的部分嗎?
transcript.whisperx[1156].start 29421.539
transcript.whisperx[1156].end 29422.159
transcript.whisperx[1156].text 委員會主席
transcript.whisperx[1157].start 29445.08
transcript.whisperx[1157].end 29449.422
transcript.whisperx[1157].text 美國資訊安全大會美國網域名稱美國南韓亞太經濟合作會議黑客松美國新加坡
transcript.whisperx[1158].start 29462.874
transcript.whisperx[1158].end 29483.45
transcript.whisperx[1158].text 參加國際會議論壇或研討會或國際展覽或或或或或或或或或或或或或或或或或或或或或或或或或或或或或或或你在玩我們是不是然後地點地點歐美亞太你畫個地球我比較懂欸
transcript.whisperx[1159].start 29485.213
transcript.whisperx[1159].end 29515.213
transcript.whisperx[1159].text 議員議員
transcript.whisperx[1160].start 29515.994
transcript.whisperx[1160].end 29526.528
transcript.whisperx[1160].text 七種可能七種可能猜不到地區又是歐、美、亞、泰等地區沒有啦講這樣我就講到這樣啦拜託所以我這邊寫3-150萬真的以後不能這樣寫我想這個你們也不要在乎了謝謝
transcript.whisperx[1161].start 29535.233
transcript.whisperx[1161].end 29544.557
transcript.whisperx[1161].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1162].start 29562.241
transcript.whisperx[1162].end 29587.6
transcript.whisperx[1162].text 首先跟委員抱歉這個的確是過去的老規啦這個我們應該會改善就過去在因為最主要是因為我們自衛產業署的業務比較雜一點所以就會保留一點彈性這個這個老實說不過我們未來一定會改善這個跟趙委抱歉這個對這個我們一定會不過我們
transcript.whisperx[1163].start 29590.691
transcript.whisperx[1163].end 29591.051
transcript.whisperx[1163].text 委員會主席
transcript.whisperx[1164].start 29608.076
transcript.whisperx[1164].end 29614.258
transcript.whisperx[1164].text 我們其實從112年427萬113年398萬到明年324萬已經逐年下降但因為我們還要帶產業去做唾銷我們要參加國際的會議所以希望說不要刪減這麼多3億百萬可以嗎?
transcript.whisperx[1165].start 29636.724
transcript.whisperx[1165].end 29640.766
transcript.whisperx[1165].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1166].start 29656.716
transcript.whisperx[1166].end 29674.447
transcript.whisperx[1166].text 不過你們寫的這些不管是理由或是地點真的是匪夷所思自己還說這個是過去的漏龜這是工業局的漏龜還是現在數位產業署的漏龜他們就是從工業局轉生過來的分業務過來的
transcript.whisperx[1167].start 29677.833
transcript.whisperx[1167].end 29698.761
transcript.whisperx[1167].text 就是因為業務比較複雜,比較難以預料。複雜,三百多萬,不是三十億,你說你很複雜。然後自己要開什麼會,那資安署,我看我們資安署那個預算要把它補回去啦,要給我下落,真的。人家要開什麼會什麼都講得清清楚楚。啊你們到現在,
transcript.whisperx[1168].start 29700.888
transcript.whisperx[1168].end 29704.031
transcript.whisperx[1168].text 三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路基金-國道公路建
transcript.whisperx[1169].start 29725.091
transcript.whisperx[1169].end 29732.239
transcript.whisperx[1169].text 有,RSA在美國,WCIT因為它美國輪流組舉辦,80幾個國,明年我們可能要確定它在哪一個國家,它有80幾國
transcript.whisperx[1170].start 29733.573
transcript.whisperx[1170].end 29736.574
transcript.whisperx[1170].text 智慧城市分論壇-印尼、馬來西亞、泰國、越南等推廣智慧城鄉的解決方案參與國際標準-FIDO聯盟、歐盟EIDAS國際展會MWC、AODP亞洲開放資料聯盟
transcript.whisperx[1171].start 29760.615
transcript.whisperx[1171].end 29782.623
transcript.whisperx[1171].text 這些...這些都是我們會內局在...這個我不得不講中話這都很明確的一些會議然後你們自己寫的這些在預算裡面的說明啊是如此啊這不只是看不起交通委員會啊你們也看不起你們自己這種基本的這種預算的說明啊如此這種啊不周全那我建議啦38...3824萬
transcript.whisperx[1172].start 29788.763
transcript.whisperx[1172].end 29795.667
transcript.whisperx[1172].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1173].start 29811.854
transcript.whisperx[1173].end 29812.554
transcript.whisperx[1173].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1174].start 29828.604
transcript.whisperx[1174].end 29829.225
transcript.whisperx[1174].text 提案委員李崑澤提動結案
transcript.whisperx[1175].start 29851.454
transcript.whisperx[1175].end 29875.84
transcript.whisperx[1175].text 若你同意,我們就照提案。捐贈應該兩個對象,一個是直接補助研發法人的,像公營資策會之類的研發法人。另一個是給企業的,就企業來申請我們的補助款,我們請專家學者審查通過後。好,那我們就照提案委員李崑澤的提案,我們就凍結五千萬元,好不好。
transcript.whisperx[1176].start 29878.562
transcript.whisperx[1176].end 29880.844
transcript.whisperx[1176].text 張志友跟委員辦公室有溝通,他說凍結1000看能不能。
transcript.whisperx[1177].start 29884.212
transcript.whisperx[1177].end 29905.669
transcript.whisperx[1177].text 動解一千萬元,然後提書面報告後,使得動之。接下來我們處理第22案,媒體政策及業務宣導費,促進數位創新動能轉型升級。這一案的預算數是337萬3千元。提案委員魯明哲委員,林沛翔委員要發言。
transcript.whisperx[1178].start 29907.507
transcript.whisperx[1178].end 29917.253
transcript.whisperx[1178].text 主要是針對這個媒體政策這次又多出來的應該算是多出來的100多萬元那其實政府打54%所以說我們會建議說這邊刪除之外通緝10%刪除150萬通緝10%好那我們請林署長說明
transcript.whisperx[1179].start 29926.52
transcript.whisperx[1179].end 29926.841
transcript.whisperx[1179].text 媒體預算不能留用
transcript.whisperx[1180].start 29944.318
transcript.whisperx[1180].end 29971.899
transcript.whisperx[1180].text 所以我們明年又有深層式AI我們又有一些5G專屏專網我們會有一些新的科技新的措施要去推廣所以我們會懇求委員這邊不要就是能夠刪減或者凍結少一點讓我們這邊可以推展一些業務以上好那請問這案你有跟魯明澤召委溝通嗎召委說就我決定那我就我會建議說不刪減但是我會建議凍結25%
transcript.whisperx[1181].start 29973.662
transcript.whisperx[1181].end 29976.625
transcript.whisperx[1181].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建
transcript.whisperx[1182].start 29995.44
transcript.whisperx[1182].end 30010.592
transcript.whisperx[1182].text 第二十三到四十八案有關促進數位創新動能轉型升級科目預算數是四十二億六千五百五十萬八千元這個部分我們請提案委員要不要詮詢。
transcript.whisperx[1183].start 30013.335
transcript.whisperx[1183].end 30013.835
transcript.whisperx[1183].text 國道公路建委員
transcript.whisperx[1184].start 30030.271
transcript.whisperx[1184].end 30048.848
transcript.whisperx[1184].text 其實還是一直都有要增進的空間那本席在電子簽張法審查的過程當中除了持續的帶領推動之外也曾多次提到這個22年到23年之間沒有修正有多達26個政府部門排除適用電子簽張也造成我們的民眾
transcript.whisperx[1185].start 30050.129
transcript.whisperx[1185].end 30069.657
transcript.whisperx[1185].text 做各種的公務申辦甚至是民間的企業或者是做各種的這個政府的服務其實都還需要零貴甚至需要實體簽名蓋章等等那因此本市修法總算通過了那我們是希望能夠加速趕上世界的潮流剛剛這個代理署長也講了
transcript.whisperx[1186].start 30071.638
transcript.whisperx[1186].end 30077.644
transcript.whisperx[1186].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1187].start 30090.597
transcript.whisperx[1187].end 30106.975
transcript.whisperx[1187].text 訴發部目前有沒有哪一個部會向訴發部申請要展延緩衝期到一年以上或者到兩年的這個我想希望聽待會說明一下因為這裡我有做一個這個板子他已經多次出現在我們的立法院內了
transcript.whisperx[1188].start 30108.857
transcript.whisperx[1188].end 30131.796
transcript.whisperx[1188].text 這個怕部長看不清楚這個是多達26個政府部門明文排除適用電子簽章但我們電子簽章法修法已經通過了5月15號前總統蔡英文總統前總統公佈施行到現在已經超過半年了26個中央部會裡面我們的理解是還是有17個是排除電子簽章適用的
transcript.whisperx[1189].start 30132.296
transcript.whisperx[1189].end 30155.575
transcript.whisperx[1189].text 那速發部有沒有積極協助各部會來排除適應的困難呢?扣除農曆年我們可能只剩下不到5個月的時間請問速發部你們預算排了要促進數位創新功能轉型升級那這個升級也要升普及也要普及那這個電子簽章算是我們23、22年來最重要的一次修法
transcript.whisperx[1190].start 30156.375
transcript.whisperx[1190].end 30176.581
transcript.whisperx[1190].text 訴發部你預算編了你有沒有信心能夠達成目標然後呢我們剛剛的問題很具體現在你只有17個你還有17個排除適用也就不到10個只有個位數的部門是決定要不排除所以訴發部這邊有沒有掌握那這個部分我希望可以很明確的來說明謝謝
transcript.whisperx[1191].start 30179.176
transcript.whisperx[1191].end 30188.359
transcript.whisperx[1191].text 格儒君委員林國成委員本席提案是23案跟42案23案我認為促進數位創新轉型升級這個部分本席是主張3減10億凍結50%
transcript.whisperx[1192].start 30203.323
transcript.whisperx[1192].end 30222.559
transcript.whisperx[1192].text 另外一個42案這個部分我特別要跟各位報告這我們黨團非常注意非常重視所以我希望這兩筆預算一定要刪一定要刪以上跟各位報告好謝謝林國成委員好那林培祥委員謝謝
transcript.whisperx[1193].start 30225.335
transcript.whisperx[1193].end 30250.374
transcript.whisperx[1193].text 我的案子基本上跟其他跟兩位有重複我就不提了所謂是這類29案數位共融以及培育計畫我剛好看到昭緯也有一樣的疑惑就是說這樣子這個數位共融培育計畫這包山包海又是衛福部文化部然後講的說是因為要產業人才培訓要落實偏鄉非山非市數位平權這個包山包海的那我覺得這東西需要說明清楚啦
transcript.whisperx[1194].start 30250.914
transcript.whisperx[1194].end 30267.514
transcript.whisperx[1194].text 這件事需要重新分析甚至覺得說我現在我提議案是動機50%然後在6個月裡面提出專案報告當然也看大家也看我們所有委員的嫌疑跟我們部裡面的回答好謝謝林培祥委員那還有委員要提問徵詢的嗎李崑澤委員
transcript.whisperx[1195].start 30271.968
transcript.whisperx[1195].end 30299.105
transcript.whisperx[1195].text 林國成委員提議3減10億凍結50%第一個我們要請等一下組長來清楚說明這個相關的預算42億他主要的編列的理由及項目那42億砍10億這個是很嚴重好像一個人的四隻你要砍掉他一隻這很嚴重的事情
transcript.whisperx[1196].start 30300.646
transcript.whisperx[1196].end 30302.228
transcript.whisperx[1196].text 凍結50%凍結預算一般警告5-10%15%-20%是嚴重警告必須提出明確說明
transcript.whisperx[1197].start 30319.723
transcript.whisperx[1197].end 30321.004
transcript.whisperx[1197].text 委員會委員會委員會委員會
transcript.whisperx[1198].start 30341.318
transcript.whisperx[1198].end 30342.779
transcript.whisperx[1198].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1199].start 30363.277
transcript.whisperx[1199].end 30364.718
transcript.whisperx[1199].text 電簽法通過之前有33個機關,兩間456項排除
transcript.whisperx[1200].start 30392.248
transcript.whisperx[1200].end 30411.001
transcript.whisperx[1200].text 那其中在電簽法通過的時候有兩個機關排除適用就是不用適用就是司法院及法務部他們總共有669項的就是適用了不適用這個電簽法這個在法律上已經規定了
transcript.whisperx[1201].start 30411.761
transcript.whisperx[1201].end 30424.89
transcript.whisperx[1201].text 所以這個我們剩下是31個機關1787項的一個排除適用我們經過半年的努力我們剩下只剩下21個機關跟894項排除總共計效是10個機關893項已經符合要採用我們電簽法當然我們會繼續推動另外一個就是剛剛委員有推詢說我們有沒有協助這個各部位的工具 有的
transcript.whisperx[1202].start 30438.639
transcript.whisperx[1202].end 30446.305
transcript.whisperx[1202].text 訴證師的IT費用已經納入各部會推動電簽法需要的資訊採購都可以納入訴證師相關的IT審查當中所以這個在協助各部會的部分也有另外我們其實跟部會一直在召開電簽法相關的適用排除的一些會議我們來協助他甚至請其他沒有排除的機關來做一些經驗的分享
transcript.whisperx[1203].start 30468.38
transcript.whisperx[1203].end 30476.087
transcript.whisperx[1203].text 所以這個就是先跟這個葛委員這邊報告再來就林委員這邊垂詢的這個我們這個獎補助這個經費的17億再加上另外的19億等等
transcript.whisperx[1204].start 30485.12
transcript.whisperx[1204].end 30488.861
transcript.whisperx[1204].text 委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[1205].start 30510.527
transcript.whisperx[1205].end 30521.377
transcript.whisperx[1205].text 此外,國內人才部署與AIT合作,培訓國外人才來台灣的就業。此外,國內人才部署與AIT合作,培訓國外人才來台灣的就業。
transcript.whisperx[1206].start 30526.221
transcript.whisperx[1206].end 30533.985
transcript.whisperx[1206].text 那在一些產業的輔導上面我們需要我們叫輔導電子商務我們要輔導第三方支出我們要輔導數位遊戲我們要輔導資產產業我們要輔導AI產業我們要輔導資訊服務業等等他們從出生到死亡中都是數位產業主要負責的
transcript.whisperx[1207].start 30543.51
transcript.whisperx[1207].end 30568.485
transcript.whisperx[1207].text 另外的話我們對於我們的法定職長5G專頻專網我們要核發執照我們要去審查現在已經核發了100多張那新科技的導入更是不遺餘力包括各位現在看到的AI、資安剛剛講的後量子密碼、Big Data、區塊鏈我想各位委員上次也去參加區塊鏈愛好者聯會那個我們也很深智慧城鄉、運動科技再加上一些雲端的一些solution
transcript.whisperx[1208].start 30569.105
transcript.whisperx[1208].end 30572.268
transcript.whisperx[1208].text 除了鞭策以外,能夠再給予一些寬列,讓我們能夠真的去輔導我們的數位產業。
transcript.whisperx[1209].start 30595.143
transcript.whisperx[1209].end 30616.784
transcript.whisperx[1209].text 這是林委員 帶來是沛翔委員這邊的一些就是我們那個數位共榮跟是不是有跟其他有重複的部分我跟林委員報告因為我們現在對象是非山非市不是山區也不是市區那這些以後以前都因為夾在中間都沒有人照顧他總共有161個行政區
transcript.whisperx[1210].start 30618.886
transcript.whisperx[1210].end 30636.356
transcript.whisperx[1210].text 我們跟在教育部的帶領之下我們其實是分工又合作我們因為數位產業署還是在產位的能量的部分比較有他們相對需要借重我們這方面所以我們把資訊服務業去協助地方的企業去發展我們有培訓地方的種子人才讓他在地方能夠擴散
transcript.whisperx[1211].start 30637.316
transcript.whisperx[1211].end 30666.337
transcript.whisperx[1211].text 我們甚至把國際的資源導入包括各位看到的三大雲端AWS、Google跟這個Microsoft都有協助我們的人才在這個非三非四裡面去做擴散所以這個是我們覺得這個部分是沒有重複而且是相輔相成的再來還有第二個林委員這個部分是像是HPAS的部分跟委員報告因為
transcript.whisperx[1212].start 30667.901
transcript.whisperx[1212].end 30685.044
transcript.whisperx[1212].text 去年的高齡SRB會議主要有很多部位在做協助那它主要是照顧者跟被照顧的被照顧者又分為亞健康跟長照的那數位產業署就要協助照顧者
transcript.whisperx[1213].start 30685.805
transcript.whisperx[1213].end 30712.891
transcript.whisperx[1213].text 增加生產力增加效率增對亞健康的人我們要讓他能夠走出他的家庭變得更健康所以我們會有HPASS這樣有4000多個課程跟活動那我們也會協助地方去培訓相關的人才來教這些亞健康的這些我們的國民去使用這些數位學習的一些題材總共有4000多個
transcript.whisperx[1214].start 30715.155
transcript.whisperx[1214].end 30728.382
transcript.whisperx[1214].text 另外的話我們會有幫助照顧者去協助去為一部相關的照顧機構去協助做長照比如說我們會有一個適時任老人的一個偵測他如果有危險行為的話我們會用AI的技術去偵測及找反應給照顧者
transcript.whisperx[1215].start 30734.851
transcript.whisperx[1215].end 30735.792
transcript.whisperx[1215].text 關於交通部主管交通部主管
transcript.whisperx[1216].start 30753.599
transcript.whisperx[1216].end 30764.622
transcript.whisperx[1216].text 所以我們我們我們覺得在協助各部會去發展上數位產業署這邊真的是也有在用的接近心力在在在這邊在在在協助好
transcript.whisperx[1217].start 30766.263
transcript.whisperx[1217].end 30767.023
transcript.whisperx[1217].text 委員會主席
transcript.whisperx[1218].start 30788.829
transcript.whisperx[1218].end 30788.949
transcript.whisperx[1218].text 委員會主席
transcript.whisperx[1219].start 30805.749
transcript.whisperx[1219].end 30821.041
transcript.whisperx[1219].text 數位創新人才暨學習產業賦能計劃還有數位服務普及暨人才深耕計劃這兩個計劃目的都是要培養數位人才一個目的編列多項計劃本席覺得不合理所以這邊有提出減利500萬那再來是跟
transcript.whisperx[1220].start 30821.721
transcript.whisperx[1220].end 30841.328
transcript.whisperx[1220].text 二、繼續審查114年度中央政府總預算案關於交通部單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部主管
transcript.whisperx[1221].start 30850.311
transcript.whisperx[1221].end 30865.175
transcript.whisperx[1221].text 第43案,樂齡好幫手HPS,他分享的部分文章,之前本席也有提過,他的點擊率過低,素產署還刻意隱藏遮蔽他的點擊率,代表執行的成效不彰,所以要求檢列2000萬幣凍結30%以上,補充說明,謝謝。好,謝謝邱若豪委員,那接下來邀請許富坤委員。
transcript.whisperx[1222].start 30873.009
transcript.whisperx[1222].end 30892.297
transcript.whisperx[1222].text 謝謝主席我剛剛有聽到那個我們蘇衛發生署代理署長在講我覺得他有點在亡羊補牢因為我覺得跟剛剛那個國外旅費的問題一樣其實你們都知道未來要做什麼但是在文書作業上面都沒有呈現出來才會造成我們幾位委員的一個質疑那如果剛剛
transcript.whisperx[1223].start 30893.277
transcript.whisperx[1223].end 30916.632
transcript.whisperx[1223].text 你們在預算書可以呈現你剛才說的做那麼多行的工作,包含我想我們過去一直在強調所謂一個數位高齡數位學習的一個環境的強化裡面,我想我們應該要給你們更多資源來做這些,包含這些老人的關懷據點還有一些數位學習中心,我們應該提供更多的打詐相關的資訊才對啊,你們應該要強化這樣的一個服務,然後尤其一些偏向的部分應該
transcript.whisperx[1224].start 30917.472
transcript.whisperx[1224].end 30934.078
transcript.whisperx[1224].text 去更深入偏向來做這樣的一個學習數位學習的一個強資訊的強化所以我建議是說這個跟幾位委員商量這個能夠給數位發展署一些一些機會能夠給他們一些資源我覺得這個不要以下三那麼多啦應該給他們一些補充說明的機會啦
transcript.whisperx[1225].start 30934.898
transcript.whisperx[1225].end 30948.398
transcript.whisperx[1225].text 因為我覺得未來對這個偏向的一個數位學習還有熱領的一個高領的一個有一個社會學習的一個參與的部分應該要深入的加強一個社會鏈結讓這些老人家能夠有更多一個新的資訊的一個來源謝謝
transcript.whisperx[1226].start 30950.76
transcript.whisperx[1226].end 30977.13
transcript.whisperx[1226].text 謝謝徐副委那我們接下來邀請葛如君委員謝謝戴署長的回覆那這個電子簽法真的太重要了那我們台灣作為科技之島是目前僅存在電子簽章的適用真的是還不夠先進的地方所以請容我在明確的了解一下剛剛戴署長有提到兩個部會是還是法務部跟什麼
transcript.whisperx[1227].start 30978.467
transcript.whisperx[1227].end 31003.246
transcript.whisperx[1227].text 司法院跟法務部因為我們這一次在審電簽法的時候我們非常仔細用心的不希望有任何一個部會自我排除這個到最後在非常多的討論之下連蔡其昌委員連執政黨的蔡其昌委員都加入同意說就是如果有部會要排除的話是需要經由一個過程
transcript.whisperx[1228].start 31003.766
transcript.whisperx[1228].end 31005.747
transcript.whisperx[1228].text 二、繼續審查114年度中央政府總預算案附屬單位預算公路建二、繼續審查114年度中央政府總預算案附屬單位預算。
transcript.whisperx[1229].start 31027.022
transcript.whisperx[1229].end 31027.162
transcript.whisperx[1229].text 議員主席
transcript.whisperx[1230].start 31043.675
transcript.whisperx[1230].end 31067.916
transcript.whisperx[1230].text 那你講產業的時候可是但是你們數位產業真的有在跟這些產業站在一起嗎我還是看到非常多的資安資通的這些系統都是你們又包給這個自己的法人啊我們政府的相關單位啊查核也是相關單位的我剛已經念了中央主管機關在查核啊
transcript.whisperx[1231].start 31068.576
transcript.whisperx[1231].end 31080.808
transcript.whisperx[1231].text 所以我覺得這個代署長未來希望你們在這個預算或計劃的安排上面公司協力也不能是口號不然每次等到要預算的時候都講了很多這些產業要代補那你們真的補了他們嗎我說普遇的普啦所以這個我想這個可不可以在剛剛那個電簽法的部分待會回應一下
transcript.whisperx[1232].start 31092.119
transcript.whisperx[1232].end 31093.7
transcript.whisperx[1232].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1233].start 31114.991
transcript.whisperx[1233].end 31137.466
transcript.whisperx[1233].text 議員議員議員議員議員議員
transcript.whisperx[1234].start 31138.046
transcript.whisperx[1234].end 31159.013
transcript.whisperx[1234].text 事務業能量帶入、地方人才培訓、國際資源帶入等等但是我們在數位崛起其實是另外一個我們是以輸出我們到目前為止越南跟印尼應該是我們數位崛起輸出的兩個大市場我們甚至在印尼有一整棟都是我們數位崛起廠商在那邊幫忙印尼的廠商去培訓
transcript.whisperx[1235].start 31160.242
transcript.whisperx[1235].end 31175.181
transcript.whisperx[1235].text 所以這個為數位學習這個計畫其實跟剛剛委員所提的數位共榮其實是不一樣也許是我們真的遲不達意讓委員來誤解那另外的話就是次世代這個行動這個是我們目前有四個重點
transcript.whisperx[1236].start 31175.962
transcript.whisperx[1236].end 31178.663
transcript.whisperx[1236].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1237].start 31199.206
transcript.whisperx[1237].end 31200.526
transcript.whisperx[1237].text 培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓培訓
transcript.whisperx[1238].start 31227.148
transcript.whisperx[1238].end 31255.168
transcript.whisperx[1238].text 我們有有我們有拜訪這個辦公室的主任對這個要親自跟林委員來做說明我相信這個促進數位創新啊動能的轉型升級啊我想葛委員在這邊他也非常專業他也知道這是國家未來數位產業又發展的重要趨勢跟基礎那42億要31億其實是很嚴重的啦齁葛委員你你也清楚那
transcript.whisperx[1239].start 31258.361
transcript.whisperx[1239].end 31259.342
transcript.whisperx[1239].text 主席主席主席主席
transcript.whisperx[1240].start 31278.047
transcript.whisperx[1240].end 31305.384
transcript.whisperx[1240].text 我就跟你講我們黨團注意這件事我不得不堅持阿的主席踩下去我就說阿人家主席就這樣踩對不對阿的崑澤消委他也是說齁阿的因為說實益太多阿你們就看一下齁怎麼樣處理我想我們消委會該談的該刪的我們會刪但是該通融的我們還是會通融嘛
transcript.whisperx[1241].start 31313.066
transcript.whisperx[1241].end 31331.651
transcript.whisperx[1241].text 我們尊重委員會中心所以說我們看召委怎麼才是然後我們再來協調因為目前來講目前以代署長您講的東西說真的委員們心裡面都覺得怪怪的啦好不好這個不是很受尊重所以讓召委再做才是
transcript.whisperx[1242].start 31332.271
transcript.whisperx[1242].end 31358.366
transcript.whisperx[1242].text 我想很多人都對這部分都蠻注重的那我先請教一下就是我們針對這一個細目的部分跟剛剛我們刪減的那個預算數是有關係的嗎?重複的嗎?是重點?前面刪了1.5億了那我們著刪好不好還是著刪5000萬好了
transcript.whisperx[1243].start 31362.568
transcript.whisperx[1243].end 31362.588
transcript.whisperx[1243].text 三個異議
transcript.whisperx[1244].start 31387.546
transcript.whisperx[1244].end 31388.547
transcript.whisperx[1244].text 因為前面那個委辦費他
transcript.whisperx[1245].start 31410.846
transcript.whisperx[1245].end 31414.449
transcript.whisperx[1245].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建
transcript.whisperx[1246].start 31437.857
transcript.whisperx[1246].end 31447.307
transcript.whisperx[1246].text 對,因為這邊有四,這裡42億,裡面就是有包了31億,因為委員他在提案的時候只針對42億裡面的31億,特別挑出來詢問的,這樣。對,他這是會計的專業的一個呈現,對啊。
transcript.whisperx[1247].start 31460.322
transcript.whisperx[1247].end 31480.718
transcript.whisperx[1247].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案關於交通部公路基
transcript.whisperx[1248].start 31492.154
transcript.whisperx[1248].end 31493.998
transcript.whisperx[1248].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1249].start 31500.04
transcript.whisperx[1249].end 31521.765
transcript.whisperx[1249].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附
transcript.whisperx[1250].start 31530.699
transcript.whisperx[1250].end 31551.653
transcript.whisperx[1250].text 五十九案、六十二案、六十五案、六十八案通通都是三可是這是三的幅度不是那麼大了所以我還是主張等一下主席去做協調做裁定好不好五十九案、六十二案、六十五案、八十五案
transcript.whisperx[1251].start 31552.313
transcript.whisperx[1251].end 31575.028
transcript.whisperx[1251].text 因為我審過這麼幾個部會的預算數位部的預算講得最不清楚但是數據是最多的所以特別建議黃部長我們不希望明年度還是這樣講清楚事端少講不清楚事端就會多
transcript.whisperx[1252].start 31579.571
transcript.whisperx[1252].end 31604.084
transcript.whisperx[1252].text 林培祥委員我是主要針對61案、68案、69案還有74案基本上來講我附議林國成委員的講法而且包括晶片驅動台灣產業創新這件事情好像跟很多部會都有重疊的狀況而有關智慧防詐通報查詢這方面來講我本席個人認為其實做的是很失敗的
transcript.whisperx[1253].start 31604.864
transcript.whisperx[1253].end 31626.269
transcript.whisperx[1253].text 所以因為是這樣子我們我們必須在這個在以務實的角度來去審視預算的時候我是建議說我們當然尊重主席這是委員會中心尊重尊重主席的才是但是我會建議說去做出一定程度的刪減加動加凍結預算來去保證說未來我們知道這個整個整個案子的進度好那葛如今委員謝謝
transcript.whisperx[1254].start 31627.638
transcript.whisperx[1254].end 31644.186
transcript.whisperx[1254].text 謝主席,本席提案這個預算的部分是第75案,是關於打詐通茶網。我不知道這個部會官員聽到通茶網三個字會不會覺得自己也感覺到沒有做好。
transcript.whisperx[1255].start 31645.236
transcript.whisperx[1255].end 31674.478
transcript.whisperx[1255].text 那113年度整體花費1350萬做出來的版本不只是本席沒辦法接受全民都沒有辦法接受我相信部長也是不滿意我相信代署長也是不滿意整個操作的流程不夠直覺不易使用通報的功能也就算了那我們之前一直在提說這個裡面的這些內容全數收錄了這些詐騙集團的這些廣告不實的消息甚至還有連結甚至還有圖片
transcript.whisperx[1256].start 31674.918
transcript.whisperx[1256].end 31695.563
transcript.whisperx[1256].text 甚至還有盜用名人的肖像等問題甚至被收羅在政府官方的數位產業署網域底下某種程度也算是在幫SEO詐騙集團內容的SEO變成在抬轎我想這些問題全民都無法接受
transcript.whisperx[1257].start 31696.323
transcript.whisperx[1257].end 31712.276
transcript.whisperx[1257].text 那根據速發部提供的資料這個你們的預算提出的這個內容還有你們提供的資料預計12月底要完成2.0版本的修正那我想請問一下目前的進度怎麼樣打炸通財網2.0什麼時候會上線
transcript.whisperx[1258].start 31713.877
transcript.whisperx[1258].end 31723.985
transcript.whisperx[1258].text 二點零是不是就是正式的版本呢?不要到時候又說二點零又是一個內部測試的版本明年度的預算在這一塊編列了5806萬3000元會不會最後又用5000萬來測試又變一個測試版搞半天變成全民花大錢我這邊想要提醒一下部長
transcript.whisperx[1259].start 31735.753
transcript.whisperx[1259].end 31759.497
transcript.whisperx[1259].text 這邊你們是編了數位信任大概是3億那我不知道部長跟代署長知不知道11月我們又破紀錄了一個月的被詐騙金額124億一天一天平均4.2億所以我們一年的這個打詐的信任的這個預算在速發部這裡你們是主管單位尤其在電子電子通訊這一塊你們是3點多億
transcript.whisperx[1260].start 31762.398
transcript.whisperx[1260].end 31776.854
transcript.whisperx[1260].text 我是真的替你們叫屈喔那你們真的是這樣然後做那又做的不夠好我們當然用精兵政策也沒有不行但要做好所以我想接下來這個應該要非常注意執行的這個狀況那執行狀況裡面還有一點
transcript.whisperx[1261].start 31780.285
transcript.whisperx[1261].end 31807.146
transcript.whisperx[1261].text 依據資通安全法第3條的規定資通系統是用以收集、流通、刪除、儲存等等所以打砸通財網完全符合法規上面資通系統的定義那打砸通財網是由電腦工會和工研院得標這個就是我剛剛講的你們說要公司協力結果公司協力結果就是自己發給這個相關的單位那就算了你們又沒有明定說不能轉包
transcript.whisperx[1262].start 31807.907
transcript.whisperx[1262].end 31815.672
transcript.whisperx[1262].text 二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1263].start 31835.424
transcript.whisperx[1263].end 31863.504
transcript.whisperx[1263].text 因此外包人員不適用資安適任性查核我想這邊在場資安署的列席官員可不可以舉手站起來答覆一下資安系統外包人員的適任性查核是依據哪一條的規定如果你們連這種你們自己的法規都搞不清楚你們編這個預算有什麼用啊你們知道你們自己在做什麼嗎這麼離譜的情況之下我是不知道部長要怎麼解釋之前通查網我沒講啊到底有沒有白名單
transcript.whisperx[1264].start 31864.676
transcript.whisperx[1264].end 31867.219
transcript.whisperx[1264].text 二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1265].start 31880.091
transcript.whisperx[1265].end 31881.672
transcript.whisperx[1265].text 打詐資安署不用在嗎?外包系統有沒有資安問題?
transcript.whisperx[1266].start 31896.283
transcript.whisperx[1266].end 31923.43
transcript.whisperx[1266].text 因為資安署的預算處理完畢他們離開了那我們現在是產業署的預算那個我知道各位對這個問題很關心這邊簡單的回答我基本上我們在做工作就是跟所謂的詐騙集團在打戰那打戰我們當然需要工具所以那我才想說我們需要一個網路前端尤其是針對網路廣告平台像Facebook這種平台來做所謂的偵測所以才會去發展網路詐騙通報查詢網
transcript.whisperx[1267].start 31924.77
transcript.whisperx[1267].end 31940.674
transcript.whisperx[1267].text 議員議員議員
transcript.whisperx[1268].start 31940.754
transcript.whisperx[1268].end 31952.785
transcript.whisperx[1268].text 我們在這個案子這個通報查詢網還在run就是當初下載一萬兩千人還在run他到12月10號已經舉出就民眾用這個查詢網已經通報七萬七千多個詐騙網頁
transcript.whisperx[1269].start 31960.111
transcript.whisperx[1269].end 31990.111
transcript.whisperx[1269].text 議員議員
transcript.whisperx[1270].start 31990.111
transcript.whisperx[1270].end 32011.084
transcript.whisperx[1270].text 議員議員
transcript.whisperx[1271].start 32011.084
transcript.whisperx[1271].end 32027.278
transcript.whisperx[1271].text 議員會議員會議
transcript.whisperx[1272].start 32027.278
transcript.whisperx[1272].end 32050.879
transcript.whisperx[1272].text 議員議員議員議員議員
transcript.whisperx[1273].start 32051.119
transcript.whisperx[1273].end 32072.984
transcript.whisperx[1273].text 至少被詐騙的人會少很多,這個委員放心,我們已經看到效果但是那個介面不好用,這確實在三個月做出來的東西,確實有這個可以improve的空間所以這個我們還在努力中,已經有一個版本目前是有improve,但是還在做內部的測試跟委員做,關於這個打詐通報查詢網目前做得很好要處理了
transcript.whisperx[1274].start 32074.324
transcript.whisperx[1274].end 32091.276
transcript.whisperx[1274].text 好,我們就來做處理了。那針對就是設計數位跨域應用與平台服務這個部分,提案委員案子很多,然後也都非常關心,然後也有提刪減案跟凍結案,那我們還是給予濁刪2000萬,然後凍結10%,提書面報告後,使得凍結,好不好?
transcript.whisperx[1275].start 32100.803
transcript.whisperx[1275].end 32118.332
transcript.whisperx[1275].text 原來這個是頭目啦我們這邊討論的是因為這方面的案子我們看到的都是不是說故意要收三不是故意要讓他們體現他們的業務我是說這個案子如果不是這案子我會提議說至少三到五千萬以上然後凍結15%因為這個案子其實
transcript.whisperx[1276].start 32122.028
transcript.whisperx[1276].end 32149.545
transcript.whisperx[1276].text 他最了解我老實講我們整個立法院113個人應該他最了解應該他算他們最了解但是變成說如果他無法解開疑惑的話變成說我們在這個產業上面的專業度還有了解度的話我們沒有辦法很公平公開的幫國人解釋這個是跟政黨政治無關這是跟國家的整個系統有關所以我在這邊會提議就是說三減五千萬之外然後凍結預算15%而且一定要專案報告
transcript.whisperx[1277].start 32151.226
transcript.whisperx[1277].end 32175.757
transcript.whisperx[1277].text 疑問要有專案報告不然的話其實他的問題不是不然問題是國人的問題打炸為什麼會失敗那為什麼會有這麼多不只是說一般民眾被打炸空瀑門也被炸到了那為什麼會這樣子那葛如君委員我想不只是我了解大家都了解啦也不只是我痛心大家都很痛心我相信部長也很痛心啦看到這個詐騙的數字節節升高
transcript.whisperx[1278].start 32177.915
transcript.whisperx[1278].end 32196.753
transcript.whisperx[1278].text 一個月124億部長您在產業待過您知道這124億來源是只有一萬多件的案件嗎你從產業的角度來看月營業額120幾億月營業額喔年營業額上千億然後呢每個月的用戶只有一萬多人啊
transcript.whisperx[1279].start 32197.313
transcript.whisperx[1279].end 32199.694
transcript.whisperx[1279].text 三、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1280].start 32214.281
transcript.whisperx[1280].end 32234.234
transcript.whisperx[1280].text 在試用期間您有沒有自己去用這個通查網有沒有真的得到回饋這是第一個第二個新的2.0您有沒有自己去測然後呢您有沒有得到回饋第三個剛剛我提到的因為你們有一些專案就像您所說的外界沒有我們要自己做
transcript.whisperx[1281].start 32234.594
transcript.whisperx[1281].end 32256.852
transcript.whisperx[1281].text 那你自己做誰來做這件事情非常重要我一再的提醒你不要轉包再轉包包出去結果是那些集團的外包商在做那還得了我們不願意做過多的預測但是這個法條哪一條是要去做適用性查核部長很清楚而且我一再的去講說通查網1.0的問題不是介面的問題
transcript.whisperx[1282].start 32259.574
transcript.whisperx[1282].end 32283.812
transcript.whisperx[1282].text 是裡面對於使用者的肖像權對於資料儲存的隱私的問題、個資法的問題這不是界面好不好用UI UX所以部長您我希望您真切的了解這個問題才會理解我們為什麼對於您的預算的執行有這麼多的不安心啊好不好謝謝委員您的那個剛剛講的一些問題都已經處理掉了
transcript.whisperx[1283].start 32284.372
transcript.whisperx[1283].end 32309.159
transcript.whisperx[1283].text 那現在我講是說當然沒有錯我們剛出來的時候確實有些地方沒有完結比如說剛剛講說有人會上傳色情圖片那個完全是沒有在我們預想那個問題0有沒有用1.0你有沒有用1.0對你有沒有用絕對有用現在審理預算了好那我是說這個委員放心這個我有用然後也在測試也看到他在進來你們兩位都很專業啦我們都很清楚你們找個時間好好討論好不好所以
transcript.whisperx[1284].start 32311.94
transcript.whisperx[1284].end 32314.322
transcript.whisperx[1284].text 五、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1285].start 32326.487
transcript.whisperx[1285].end 32351.062
transcript.whisperx[1285].text 我們動了以後去到那邊政黨協商對於你們是比較有幫助我們完完全全通通不刪我跟你講去到那邊會刪得更厲害這個我不是在我是良心的建議啦我們已經很和諧起的共識主席裁定的我們也都是尊重所以五千萬我認為不多啦
transcript.whisperx[1286].start 32351.621
transcript.whisperx[1286].end 32352.021
transcript.whisperx[1286].text 法定人數不足
transcript.whisperx[1287].start 32380.302
transcript.whisperx[1287].end 32384.083
transcript.whisperx[1287].text 第53案、第77案、第78案、第89案、第95案改主決議。
transcript.whisperx[1288].start 32410.629
transcript.whisperx[1288].end 32413.971
transcript.whisperx[1288].text 九十七案。九十八。九十九。一百一百零一一百零二
transcript.whisperx[1289].start 32434.778
transcript.whisperx[1289].end 32442.081
transcript.whisperx[1289].text 改書面報告。我們建議改的一個月內向交委會提出書面報告。我們這邊是不是能建議請這個改為一個月向交委會這邊提出書面報告。好。那102。103。這是要主要就是要
transcript.whisperx[1290].start 32465.969
transcript.whisperx[1290].end 32490.697
transcript.whisperx[1290].text 我們建議修改為執行成效於114年結束後一個月向立法院交委會提出書面報告我們建議修改為要求數位產業署將委辦及補助計劃執行成效於114年結束後一個月內向立法院交委會提出書面報告
transcript.whisperx[1291].start 32491.797
transcript.whisperx[1291].end 32491.817
transcript.whisperx[1291].text 104案
transcript.whisperx[1292].start 32527.477
transcript.whisperx[1292].end 32533.622
transcript.whisperx[1292].text 104剛跟委員報告就是執行成效於114年結束後一個月內向立法院交通委員會提出素面報告。我們是
transcript.whisperx[1293].start 32544.411
transcript.whisperx[1293].end 32545.952
transcript.whisperx[1293].text 一、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1294].start 32566.113
transcript.whisperx[1294].end 32591.566
transcript.whisperx[1294].text 對阿我們會將委辦跟跟捐助的執行成效於114年結束後一個月內向立法院交委會提出就是林委員這邊是我們阿你們自己修阿你們也不講你修我同不同意就就那個
transcript.whisperx[1295].start 32596.925
transcript.whisperx[1295].end 32620.585
transcript.whisperx[1295].text 這我們再請次委員講你之前沒有去溝通嗎?都沒有去溝通?
transcript.whisperx[1296].start 32621.069
transcript.whisperx[1296].end 32643.411
transcript.whisperx[1296].text 有溝通嗎?有溝通跟誰溝通?跟誰溝通?啊?國立委員跟誰溝通?我說有去溝通我說你們就很喜歡這樣本來對你們預算啊就本來就支持啊看到你們這種態度啊實在有時候就誰跟你們溝通的?誰?誰跟我們溝通的?
transcript.whisperx[1297].start 32644.548
transcript.whisperx[1297].end 32660.213
transcript.whisperx[1297].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1298].start 32674.917
transcript.whisperx[1298].end 32694.963
transcript.whisperx[1298].text 徵照辦理徵照辦理徵照辦理徵照辦理沒有修改了那103案就104案啦你就是要講我的修改OK好對那在這邊補充宣告就是7到8案簡列500萬元那科目自行調整20到21案就是凍結1000萬元科目名稱為獎補助費啦好好謝謝那
transcript.whisperx[1299].start 32705.192
transcript.whisperx[1299].end 32723.165
transcript.whisperx[1299].text 協商完成,作以下宣告。今日協商結論免予宣讀,授權議事人員整理作為決議列入記錄。委員要求提供之書面報告及相關資料,請相關機關尽數以書面答覆。如有委員對於提案補簽列入記錄並刊登公報。
transcript.whisperx[1300].start 32725.467
transcript.whisperx[1300].end 32751.105
transcript.whisperx[1300].text 針對本日的會議作如下決議本日預算審查結果照列或照協商結論通過本日通過之決議文字授權主席及議事人員調整114年度交通部公路局及所屬國道公路建設管理基金資安署數位產業署預算均審查完畢請問各位委員對以上決議有無異議
transcript.whisperx[1301].start 32752.466
transcript.whisperx[1301].end 32758.828
transcript.whisperx[1301].text 二、繼續審查114年度中央政府總預算案關於交通部公路基金-國道公路建二、繼續審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1302].start 32778.677
transcript.whisperx[1302].end 32780.923
transcript.whisperx[1302].text 一、繼續審查114年度中央政府總預算案附屬單位預算。