iVOD / 16440

Field Value
IVOD_ID 16440
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16440
日期 2025-01-02
會議資料.會議代碼 委員會-11-2-23-18
會議資料.會議代碼:str 第11屆第2會期交通委員會第18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 18
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18次全體委員會議
影片種類 Full
開始時間 2025-01-02T08:31:16+08:00
結束時間 2025-01-02T14:53:59+08:00
影片長度 06:22:43
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd2b89873ec9b2dea26c0396a52a667796529fa0cca45d562775cf120d795f9fa35ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-01-02T09:00:00+08:00
會議名稱 立法院第11屆第2會期交通委員會第18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數位發展部單位預算。 二、繼續審查114年度中央政府總預算案附屬單位預算營業部分關於交通部主管中華郵政股份有限公司營業預算。 三、繼續審查114年度中央政府總預算案關於交通部觀光署及所屬單位預算。 四、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─觀光發展基金分預算。 【113年12月30日及114年1月2日二天一次會】)
委員名稱 完整會議
委員發言時間 08:31:16 - 14:53:59
transcript.pyannote[0].speaker SPEAKER_18
transcript.pyannote[0].start 1923.91596875
transcript.pyannote[0].end 1925.78909375
transcript.pyannote[1].speaker SPEAKER_18
transcript.pyannote[1].start 1926.17721875
transcript.pyannote[1].end 1931.23971875
transcript.pyannote[2].speaker SPEAKER_18
transcript.pyannote[2].start 1931.30721875
transcript.pyannote[2].end 1933.14659375
transcript.pyannote[3].speaker SPEAKER_18
transcript.pyannote[3].start 1933.39971875
transcript.pyannote[3].end 1934.74971875
transcript.pyannote[4].speaker SPEAKER_18
transcript.pyannote[4].start 1935.57659375
transcript.pyannote[4].end 1938.32721875
transcript.pyannote[5].speaker SPEAKER_18
transcript.pyannote[5].start 1938.59721875
transcript.pyannote[5].end 1940.43659375
transcript.pyannote[6].speaker SPEAKER_18
transcript.pyannote[6].start 1940.63909375
transcript.pyannote[6].end 1943.10284375
transcript.pyannote[7].speaker SPEAKER_18
transcript.pyannote[7].start 1943.37284375
transcript.pyannote[7].end 1944.57096875
transcript.pyannote[8].speaker SPEAKER_18
transcript.pyannote[8].start 1944.73971875
transcript.pyannote[8].end 1947.32159375
transcript.pyannote[9].speaker SPEAKER_18
transcript.pyannote[9].start 1947.79409375
transcript.pyannote[9].end 1949.66721875
transcript.pyannote[10].speaker SPEAKER_18
transcript.pyannote[10].start 1950.40971875
transcript.pyannote[10].end 1951.67534375
transcript.pyannote[11].speaker SPEAKER_18
transcript.pyannote[11].start 1955.57346875
transcript.pyannote[11].end 1957.07534375
transcript.pyannote[12].speaker SPEAKER_18
transcript.pyannote[12].start 1960.68659375
transcript.pyannote[12].end 1961.64846875
transcript.pyannote[13].speaker SPEAKER_18
transcript.pyannote[13].start 1961.93534375
transcript.pyannote[13].end 1962.81284375
transcript.pyannote[14].speaker SPEAKER_18
transcript.pyannote[14].start 1965.24284375
transcript.pyannote[14].end 1967.87534375
transcript.pyannote[15].speaker SPEAKER_18
transcript.pyannote[15].start 1968.39846875
transcript.pyannote[15].end 1969.76534375
transcript.pyannote[16].speaker SPEAKER_18
transcript.pyannote[16].start 1973.42721875
transcript.pyannote[16].end 1974.62534375
transcript.pyannote[17].speaker SPEAKER_18
transcript.pyannote[17].start 1978.91159375
transcript.pyannote[17].end 1981.03784375
transcript.pyannote[18].speaker SPEAKER_18
transcript.pyannote[18].start 1981.27409375
transcript.pyannote[18].end 1988.02409375
transcript.pyannote[19].speaker SPEAKER_18
transcript.pyannote[19].start 1988.46284375
transcript.pyannote[19].end 1989.30659375
transcript.pyannote[20].speaker SPEAKER_18
transcript.pyannote[20].start 1990.58909375
transcript.pyannote[20].end 1991.28096875
transcript.pyannote[21].speaker SPEAKER_18
transcript.pyannote[21].start 1993.62659375
transcript.pyannote[21].end 1994.94284375
transcript.pyannote[22].speaker SPEAKER_18
transcript.pyannote[22].start 1996.07346875
transcript.pyannote[22].end 1996.86659375
transcript.pyannote[23].speaker SPEAKER_18
transcript.pyannote[23].start 1998.13221875
transcript.pyannote[23].end 1999.34721875
transcript.pyannote[24].speaker SPEAKER_18
transcript.pyannote[24].start 1999.95471875
transcript.pyannote[24].end 2001.87846875
transcript.pyannote[25].speaker SPEAKER_18
transcript.pyannote[25].start 2002.57034375
transcript.pyannote[25].end 2003.32971875
transcript.pyannote[26].speaker SPEAKER_18
transcript.pyannote[26].start 2004.30846875
transcript.pyannote[26].end 2005.55721875
transcript.pyannote[27].speaker SPEAKER_18
transcript.pyannote[27].start 2005.96221875
transcript.pyannote[27].end 2006.75534375
transcript.pyannote[28].speaker SPEAKER_18
transcript.pyannote[28].start 2006.95784375
transcript.pyannote[28].end 2007.66659375
transcript.pyannote[29].speaker SPEAKER_18
transcript.pyannote[29].start 2009.45534375
transcript.pyannote[29].end 2010.41721875
transcript.pyannote[30].speaker SPEAKER_18
transcript.pyannote[30].start 2010.68721875
transcript.pyannote[30].end 2011.69971875
transcript.pyannote[31].speaker SPEAKER_18
transcript.pyannote[31].start 2013.89346875
transcript.pyannote[31].end 2016.23909375
transcript.pyannote[32].speaker SPEAKER_18
transcript.pyannote[32].start 2018.58471875
transcript.pyannote[32].end 2020.77846875
transcript.pyannote[33].speaker SPEAKER_18
transcript.pyannote[33].start 2024.05221875
transcript.pyannote[33].end 2026.06034375
transcript.pyannote[34].speaker SPEAKER_18
transcript.pyannote[34].start 2027.81534375
transcript.pyannote[34].end 2028.64221875
transcript.pyannote[35].speaker SPEAKER_18
transcript.pyannote[35].start 2028.79409375
transcript.pyannote[35].end 2033.72159375
transcript.pyannote[36].speaker SPEAKER_18
transcript.pyannote[36].start 2033.99159375
transcript.pyannote[36].end 2034.02534375
transcript.pyannote[37].speaker SPEAKER_18
transcript.pyannote[37].start 2034.05909375
transcript.pyannote[37].end 2036.18534375
transcript.pyannote[38].speaker SPEAKER_18
transcript.pyannote[38].start 2036.48909375
transcript.pyannote[38].end 2037.45096875
transcript.pyannote[39].speaker SPEAKER_18
transcript.pyannote[39].start 2038.14284375
transcript.pyannote[39].end 2039.64471875
transcript.pyannote[40].speaker SPEAKER_18
transcript.pyannote[40].start 2040.60659375
transcript.pyannote[40].end 2040.96096875
transcript.pyannote[41].speaker SPEAKER_18
transcript.pyannote[41].start 2043.34034375
transcript.pyannote[41].end 2044.38659375
transcript.pyannote[42].speaker SPEAKER_18
transcript.pyannote[42].start 2044.63971875
transcript.pyannote[42].end 2045.75346875
transcript.pyannote[43].speaker SPEAKER_18
transcript.pyannote[43].start 2047.47471875
transcript.pyannote[43].end 2049.14534375
transcript.pyannote[44].speaker SPEAKER_18
transcript.pyannote[44].start 2050.27596875
transcript.pyannote[44].end 2050.66409375
transcript.pyannote[45].speaker SPEAKER_18
transcript.pyannote[45].start 2052.01409375
transcript.pyannote[45].end 2052.97596875
transcript.pyannote[46].speaker SPEAKER_18
transcript.pyannote[46].start 2053.24596875
transcript.pyannote[46].end 2054.25846875
transcript.pyannote[47].speaker SPEAKER_18
transcript.pyannote[47].start 2054.91659375
transcript.pyannote[47].end 2055.96284375
transcript.pyannote[48].speaker SPEAKER_18
transcript.pyannote[48].start 2056.65471875
transcript.pyannote[48].end 2057.53221875
transcript.pyannote[49].speaker SPEAKER_18
transcript.pyannote[49].start 2057.66721875
transcript.pyannote[49].end 2058.78096875
transcript.pyannote[50].speaker SPEAKER_18
transcript.pyannote[50].start 2061.44721875
transcript.pyannote[50].end 2063.38784375
transcript.pyannote[51].speaker SPEAKER_18
transcript.pyannote[51].start 2067.21846875
transcript.pyannote[51].end 2069.04096875
transcript.pyannote[52].speaker SPEAKER_18
transcript.pyannote[52].start 2069.83409375
transcript.pyannote[52].end 2071.28534375
transcript.pyannote[53].speaker SPEAKER_18
transcript.pyannote[53].start 2072.19659375
transcript.pyannote[53].end 2073.79971875
transcript.pyannote[54].speaker SPEAKER_18
transcript.pyannote[54].start 2074.76159375
transcript.pyannote[54].end 2076.41534375
transcript.pyannote[55].speaker SPEAKER_18
transcript.pyannote[55].start 2076.58409375
transcript.pyannote[55].end 2078.11971875
transcript.pyannote[56].speaker SPEAKER_18
transcript.pyannote[56].start 2078.67659375
transcript.pyannote[56].end 2079.52034375
transcript.pyannote[57].speaker SPEAKER_18
transcript.pyannote[57].start 2081.81534375
transcript.pyannote[57].end 2082.81096875
transcript.pyannote[58].speaker SPEAKER_18
transcript.pyannote[58].start 2083.09784375
transcript.pyannote[58].end 2084.38034375
transcript.pyannote[59].speaker SPEAKER_18
transcript.pyannote[59].start 2084.66721875
transcript.pyannote[59].end 2085.64596875
transcript.pyannote[60].speaker SPEAKER_18
transcript.pyannote[60].start 2086.45596875
transcript.pyannote[60].end 2087.23221875
transcript.pyannote[61].speaker SPEAKER_18
transcript.pyannote[61].start 2088.04221875
transcript.pyannote[61].end 2092.32846875
transcript.pyannote[62].speaker SPEAKER_18
transcript.pyannote[62].start 2092.96971875
transcript.pyannote[62].end 2094.18471875
transcript.pyannote[63].speaker SPEAKER_18
transcript.pyannote[63].start 2094.92721875
transcript.pyannote[63].end 2097.08721875
transcript.pyannote[64].speaker SPEAKER_18
transcript.pyannote[64].start 2097.40784375
transcript.pyannote[64].end 2098.20096875
transcript.pyannote[65].speaker SPEAKER_18
transcript.pyannote[65].start 2098.33596875
transcript.pyannote[65].end 2099.12909375
transcript.pyannote[66].speaker SPEAKER_18
transcript.pyannote[66].start 2101.62659375
transcript.pyannote[66].end 2102.58846875
transcript.pyannote[67].speaker SPEAKER_18
transcript.pyannote[67].start 2106.70596875
transcript.pyannote[67].end 2107.29659375
transcript.pyannote[68].speaker SPEAKER_18
transcript.pyannote[68].start 2108.46096875
transcript.pyannote[68].end 2109.76034375
transcript.pyannote[69].speaker SPEAKER_18
transcript.pyannote[69].start 2109.99659375
transcript.pyannote[69].end 2111.22846875
transcript.pyannote[70].speaker SPEAKER_18
transcript.pyannote[70].start 2111.81909375
transcript.pyannote[70].end 2112.29159375
transcript.pyannote[71].speaker SPEAKER_18
transcript.pyannote[71].start 2112.47721875
transcript.pyannote[71].end 2112.98346875
transcript.pyannote[72].speaker SPEAKER_18
transcript.pyannote[72].start 2114.82284375
transcript.pyannote[72].end 2116.34159375
transcript.pyannote[73].speaker SPEAKER_18
transcript.pyannote[73].start 2116.47659375
transcript.pyannote[73].end 2117.96159375
transcript.pyannote[74].speaker SPEAKER_18
transcript.pyannote[74].start 2119.05846875
transcript.pyannote[74].end 2119.90221875
transcript.pyannote[75].speaker SPEAKER_18
transcript.pyannote[75].start 2121.25221875
transcript.pyannote[75].end 2123.04096875
transcript.pyannote[76].speaker SPEAKER_18
transcript.pyannote[76].start 2123.10846875
transcript.pyannote[76].end 2123.61471875
transcript.pyannote[77].speaker SPEAKER_18
transcript.pyannote[77].start 2124.05346875
transcript.pyannote[77].end 2126.41596875
transcript.pyannote[78].speaker SPEAKER_18
transcript.pyannote[78].start 2129.03159375
transcript.pyannote[78].end 2131.27596875
transcript.pyannote[79].speaker SPEAKER_18
transcript.pyannote[79].start 2134.31346875
transcript.pyannote[79].end 2142.66659375
transcript.pyannote[80].speaker SPEAKER_18
transcript.pyannote[80].start 2143.05471875
transcript.pyannote[80].end 2145.55221875
transcript.pyannote[81].speaker SPEAKER_18
transcript.pyannote[81].start 2146.78409375
transcript.pyannote[81].end 2147.86409375
transcript.pyannote[82].speaker SPEAKER_18
transcript.pyannote[82].start 2147.98221875
transcript.pyannote[82].end 2148.03284375
transcript.pyannote[83].speaker SPEAKER_18
transcript.pyannote[83].start 2148.10034375
transcript.pyannote[83].end 2151.94784375
transcript.pyannote[84].speaker SPEAKER_18
transcript.pyannote[84].start 2153.80409375
transcript.pyannote[84].end 2167.30409375
transcript.pyannote[85].speaker SPEAKER_18
transcript.pyannote[85].start 2167.67534375
transcript.pyannote[85].end 2169.37971875
transcript.pyannote[86].speaker SPEAKER_21
transcript.pyannote[86].start 2209.96409375
transcript.pyannote[86].end 2211.43221875
transcript.pyannote[87].speaker SPEAKER_15
transcript.pyannote[87].start 2214.67221875
transcript.pyannote[87].end 2225.18534375
transcript.pyannote[88].speaker SPEAKER_15
transcript.pyannote[88].start 2226.85596875
transcript.pyannote[88].end 2247.61221875
transcript.pyannote[89].speaker SPEAKER_18
transcript.pyannote[89].start 2241.13221875
transcript.pyannote[89].end 2245.55346875
transcript.pyannote[90].speaker SPEAKER_18
transcript.pyannote[90].start 2247.61221875
transcript.pyannote[90].end 2263.66034375
transcript.pyannote[91].speaker SPEAKER_15
transcript.pyannote[91].start 2248.47284375
transcript.pyannote[91].end 2248.57409375
transcript.pyannote[92].speaker SPEAKER_15
transcript.pyannote[92].start 2248.67534375
transcript.pyannote[92].end 2249.99159375
transcript.pyannote[93].speaker SPEAKER_15
transcript.pyannote[93].start 2259.61034375
transcript.pyannote[93].end 2259.67784375
transcript.pyannote[94].speaker SPEAKER_15
transcript.pyannote[94].start 2260.03221875
transcript.pyannote[94].end 2265.38159375
transcript.pyannote[95].speaker SPEAKER_15
transcript.pyannote[95].start 2265.55034375
transcript.pyannote[95].end 2267.03534375
transcript.pyannote[96].speaker SPEAKER_18
transcript.pyannote[96].start 2267.03534375
transcript.pyannote[96].end 2277.70034375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 2277.04221875
transcript.pyannote[97].end 2277.66659375
transcript.pyannote[98].speaker SPEAKER_15
transcript.pyannote[98].start 2277.70034375
transcript.pyannote[98].end 2277.91971875
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 2277.91971875
transcript.pyannote[99].end 2277.97034375
transcript.pyannote[100].speaker SPEAKER_15
transcript.pyannote[100].start 2277.97034375
transcript.pyannote[100].end 2278.02096875
transcript.pyannote[101].speaker SPEAKER_18
transcript.pyannote[101].start 2278.39221875
transcript.pyannote[101].end 2278.45971875
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 2278.45971875
transcript.pyannote[102].end 2279.70846875
transcript.pyannote[103].speaker SPEAKER_18
transcript.pyannote[103].start 2279.70846875
transcript.pyannote[103].end 2280.65346875
transcript.pyannote[104].speaker SPEAKER_18
transcript.pyannote[104].start 2280.90659375
transcript.pyannote[104].end 2280.97409375
transcript.pyannote[105].speaker SPEAKER_05
transcript.pyannote[105].start 2280.97409375
transcript.pyannote[105].end 2286.74534375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 2287.01534375
transcript.pyannote[106].end 2302.84409375
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 2303.95784375
transcript.pyannote[107].end 2334.45096875
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 2334.63659375
transcript.pyannote[108].end 2345.99346875
transcript.pyannote[109].speaker SPEAKER_15
transcript.pyannote[109].start 2345.26784375
transcript.pyannote[109].end 2345.87534375
transcript.pyannote[110].speaker SPEAKER_15
transcript.pyannote[110].start 2345.99346875
transcript.pyannote[110].end 2346.02721875
transcript.pyannote[111].speaker SPEAKER_15
transcript.pyannote[111].start 2346.53346875
transcript.pyannote[111].end 2347.03971875
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 2347.49534375
transcript.pyannote[112].end 2348.86221875
transcript.pyannote[113].speaker SPEAKER_18
transcript.pyannote[113].start 2348.86221875
transcript.pyannote[113].end 2354.04284375
transcript.pyannote[114].speaker SPEAKER_31
transcript.pyannote[114].start 2355.42659375
transcript.pyannote[114].end 2370.22596875
transcript.pyannote[115].speaker SPEAKER_18
transcript.pyannote[115].start 2372.40284375
transcript.pyannote[115].end 2375.03534375
transcript.pyannote[116].speaker SPEAKER_17
transcript.pyannote[116].start 2375.03534375
transcript.pyannote[116].end 2376.21659375
transcript.pyannote[117].speaker SPEAKER_18
transcript.pyannote[117].start 2376.21659375
transcript.pyannote[117].end 2376.36846875
transcript.pyannote[118].speaker SPEAKER_24
transcript.pyannote[118].start 2376.36846875
transcript.pyannote[118].end 2377.06034375
transcript.pyannote[119].speaker SPEAKER_17
transcript.pyannote[119].start 2377.06034375
transcript.pyannote[119].end 2391.48846875
transcript.pyannote[120].speaker SPEAKER_24
transcript.pyannote[120].start 2377.07721875
transcript.pyannote[120].end 2377.22909375
transcript.pyannote[121].speaker SPEAKER_17
transcript.pyannote[121].start 2391.57284375
transcript.pyannote[121].end 2394.55971875
transcript.pyannote[122].speaker SPEAKER_17
transcript.pyannote[122].start 2395.42034375
transcript.pyannote[122].end 2396.17971875
transcript.pyannote[123].speaker SPEAKER_17
transcript.pyannote[123].start 2396.66909375
transcript.pyannote[123].end 2402.01846875
transcript.pyannote[124].speaker SPEAKER_17
transcript.pyannote[124].start 2402.55846875
transcript.pyannote[124].end 2441.75909375
transcript.pyannote[125].speaker SPEAKER_17
transcript.pyannote[125].start 2442.16409375
transcript.pyannote[125].end 2463.29159375
transcript.pyannote[126].speaker SPEAKER_18
transcript.pyannote[126].start 2465.55284375
transcript.pyannote[126].end 2476.79159375
transcript.pyannote[127].speaker SPEAKER_17
transcript.pyannote[127].start 2467.88159375
transcript.pyannote[127].end 2468.28659375
transcript.pyannote[128].speaker SPEAKER_17
transcript.pyannote[128].start 2468.32034375
transcript.pyannote[128].end 2468.33721875
transcript.pyannote[129].speaker SPEAKER_18
transcript.pyannote[129].start 2476.97721875
transcript.pyannote[129].end 2479.17096875
transcript.pyannote[130].speaker SPEAKER_18
transcript.pyannote[130].start 2479.50846875
transcript.pyannote[130].end 2494.35846875
transcript.pyannote[131].speaker SPEAKER_15
transcript.pyannote[131].start 2479.74471875
transcript.pyannote[131].end 2479.84596875
transcript.pyannote[132].speaker SPEAKER_15
transcript.pyannote[132].start 2480.57159375
transcript.pyannote[132].end 2481.02721875
transcript.pyannote[133].speaker SPEAKER_24
transcript.pyannote[133].start 2481.02721875
transcript.pyannote[133].end 2482.02284375
transcript.pyannote[134].speaker SPEAKER_15
transcript.pyannote[134].start 2482.02284375
transcript.pyannote[134].end 2483.96346875
transcript.pyannote[135].speaker SPEAKER_15
transcript.pyannote[135].start 2487.06846875
transcript.pyannote[135].end 2487.77721875
transcript.pyannote[136].speaker SPEAKER_18
transcript.pyannote[136].start 2494.40909375
transcript.pyannote[136].end 2494.44284375
transcript.pyannote[137].speaker SPEAKER_15
transcript.pyannote[137].start 2494.44284375
transcript.pyannote[137].end 2494.84784375
transcript.pyannote[138].speaker SPEAKER_24
transcript.pyannote[138].start 2494.84784375
transcript.pyannote[138].end 2494.96596875
transcript.pyannote[139].speaker SPEAKER_15
transcript.pyannote[139].start 2494.96596875
transcript.pyannote[139].end 2495.03346875
transcript.pyannote[140].speaker SPEAKER_18
transcript.pyannote[140].start 2494.99971875
transcript.pyannote[140].end 2502.23909375
transcript.pyannote[141].speaker SPEAKER_18
transcript.pyannote[141].start 2502.94784375
transcript.pyannote[141].end 2504.68596875
transcript.pyannote[142].speaker SPEAKER_18
transcript.pyannote[142].start 2505.47909375
transcript.pyannote[142].end 2507.90909375
transcript.pyannote[143].speaker SPEAKER_15
transcript.pyannote[143].start 2507.87534375
transcript.pyannote[143].end 2508.78659375
transcript.pyannote[144].speaker SPEAKER_18
transcript.pyannote[144].start 2507.97659375
transcript.pyannote[144].end 2510.62596875
transcript.pyannote[145].speaker SPEAKER_15
transcript.pyannote[145].start 2510.87909375
transcript.pyannote[145].end 2511.28409375
transcript.pyannote[146].speaker SPEAKER_18
transcript.pyannote[146].start 2511.65534375
transcript.pyannote[146].end 2513.29221875
transcript.pyannote[147].speaker SPEAKER_18
transcript.pyannote[147].start 2513.71409375
transcript.pyannote[147].end 2514.76034375
transcript.pyannote[148].speaker SPEAKER_18
transcript.pyannote[148].start 2515.19909375
transcript.pyannote[148].end 2517.32534375
transcript.pyannote[149].speaker SPEAKER_18
transcript.pyannote[149].start 2518.47284375
transcript.pyannote[149].end 2520.56534375
transcript.pyannote[150].speaker SPEAKER_18
transcript.pyannote[150].start 2521.35846875
transcript.pyannote[150].end 2522.60721875
transcript.pyannote[151].speaker SPEAKER_18
transcript.pyannote[151].start 2523.16409375
transcript.pyannote[151].end 2524.41284375
transcript.pyannote[152].speaker SPEAKER_18
transcript.pyannote[152].start 2524.75034375
transcript.pyannote[152].end 2526.33659375
transcript.pyannote[153].speaker SPEAKER_18
transcript.pyannote[153].start 2527.88909375
transcript.pyannote[153].end 2529.99846875
transcript.pyannote[154].speaker SPEAKER_18
transcript.pyannote[154].start 2530.21784375
transcript.pyannote[154].end 2532.42846875
transcript.pyannote[155].speaker SPEAKER_18
transcript.pyannote[155].start 2533.08659375
transcript.pyannote[155].end 2536.36034375
transcript.pyannote[156].speaker SPEAKER_18
transcript.pyannote[156].start 2536.37721875
transcript.pyannote[156].end 2538.19971875
transcript.pyannote[157].speaker SPEAKER_18
transcript.pyannote[157].start 2538.79034375
transcript.pyannote[157].end 2541.99659375
transcript.pyannote[158].speaker SPEAKER_18
transcript.pyannote[158].start 2542.68846875
transcript.pyannote[158].end 2554.02846875
transcript.pyannote[159].speaker SPEAKER_15
transcript.pyannote[159].start 2546.02971875
transcript.pyannote[159].end 2546.06346875
transcript.pyannote[160].speaker SPEAKER_24
transcript.pyannote[160].start 2546.06346875
transcript.pyannote[160].end 2546.63721875
transcript.pyannote[161].speaker SPEAKER_24
transcript.pyannote[161].start 2548.37534375
transcript.pyannote[161].end 2549.03346875
transcript.pyannote[162].speaker SPEAKER_24
transcript.pyannote[162].start 2553.69096875
transcript.pyannote[162].end 2553.87659375
transcript.pyannote[163].speaker SPEAKER_18
transcript.pyannote[163].start 2554.53471875
transcript.pyannote[163].end 2556.22221875
transcript.pyannote[164].speaker SPEAKER_18
transcript.pyannote[164].start 2556.30659375
transcript.pyannote[164].end 2556.81284375
transcript.pyannote[165].speaker SPEAKER_24
transcript.pyannote[165].start 2556.40784375
transcript.pyannote[165].end 2557.60596875
transcript.pyannote[166].speaker SPEAKER_18
transcript.pyannote[166].start 2557.75784375
transcript.pyannote[166].end 2557.89284375
transcript.pyannote[167].speaker SPEAKER_18
transcript.pyannote[167].start 2558.11221875
transcript.pyannote[167].end 2566.04346875
transcript.pyannote[168].speaker SPEAKER_24
transcript.pyannote[168].start 2562.28034375
transcript.pyannote[168].end 2563.15784375
transcript.pyannote[169].speaker SPEAKER_24
transcript.pyannote[169].start 2563.20846875
transcript.pyannote[169].end 2563.27596875
transcript.pyannote[170].speaker SPEAKER_24
transcript.pyannote[170].start 2563.37721875
transcript.pyannote[170].end 2563.47846875
transcript.pyannote[171].speaker SPEAKER_15
transcript.pyannote[171].start 2563.47846875
transcript.pyannote[171].end 2563.49534375
transcript.pyannote[172].speaker SPEAKER_15
transcript.pyannote[172].start 2565.04784375
transcript.pyannote[172].end 2565.46971875
transcript.pyannote[173].speaker SPEAKER_18
transcript.pyannote[173].start 2566.92096875
transcript.pyannote[173].end 2568.81096875
transcript.pyannote[174].speaker SPEAKER_15
transcript.pyannote[174].start 2566.97159375
transcript.pyannote[174].end 2567.54534375
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 2567.54534375
transcript.pyannote[175].end 2567.57909375
transcript.pyannote[176].speaker SPEAKER_18
transcript.pyannote[176].start 2569.03034375
transcript.pyannote[176].end 2569.94159375
transcript.pyannote[177].speaker SPEAKER_15
transcript.pyannote[177].start 2569.94159375
transcript.pyannote[177].end 2570.73471875
transcript.pyannote[178].speaker SPEAKER_18
transcript.pyannote[178].start 2570.38034375
transcript.pyannote[178].end 2571.96659375
transcript.pyannote[179].speaker SPEAKER_11
transcript.pyannote[179].start 2570.73471875
transcript.pyannote[179].end 2570.80221875
transcript.pyannote[180].speaker SPEAKER_11
transcript.pyannote[180].start 2571.96659375
transcript.pyannote[180].end 2617.63034375
transcript.pyannote[181].speaker SPEAKER_15
transcript.pyannote[181].start 2617.15784375
transcript.pyannote[181].end 2617.59659375
transcript.pyannote[182].speaker SPEAKER_15
transcript.pyannote[182].start 2617.63034375
transcript.pyannote[182].end 2618.30534375
transcript.pyannote[183].speaker SPEAKER_11
transcript.pyannote[183].start 2619.82409375
transcript.pyannote[183].end 2620.56659375
transcript.pyannote[184].speaker SPEAKER_11
transcript.pyannote[184].start 2621.71409375
transcript.pyannote[184].end 2621.96721875
transcript.pyannote[185].speaker SPEAKER_18
transcript.pyannote[185].start 2621.96721875
transcript.pyannote[185].end 2623.51971875
transcript.pyannote[186].speaker SPEAKER_41
transcript.pyannote[186].start 2623.03034375
transcript.pyannote[186].end 2623.11471875
transcript.pyannote[187].speaker SPEAKER_41
transcript.pyannote[187].start 2623.13159375
transcript.pyannote[187].end 2623.14846875
transcript.pyannote[188].speaker SPEAKER_41
transcript.pyannote[188].start 2623.28346875
transcript.pyannote[188].end 2623.63784375
transcript.pyannote[189].speaker SPEAKER_15
transcript.pyannote[189].start 2623.63784375
transcript.pyannote[189].end 2623.65471875
transcript.pyannote[190].speaker SPEAKER_41
transcript.pyannote[190].start 2623.65471875
transcript.pyannote[190].end 2623.72221875
transcript.pyannote[191].speaker SPEAKER_15
transcript.pyannote[191].start 2623.72221875
transcript.pyannote[191].end 2623.82346875
transcript.pyannote[192].speaker SPEAKER_41
transcript.pyannote[192].start 2623.82346875
transcript.pyannote[192].end 2623.94159375
transcript.pyannote[193].speaker SPEAKER_15
transcript.pyannote[193].start 2623.94159375
transcript.pyannote[193].end 2624.54909375
transcript.pyannote[194].speaker SPEAKER_41
transcript.pyannote[194].start 2624.54909375
transcript.pyannote[194].end 2631.31596875
transcript.pyannote[195].speaker SPEAKER_24
transcript.pyannote[195].start 2628.32909375
transcript.pyannote[195].end 2628.53159375
transcript.pyannote[196].speaker SPEAKER_18
transcript.pyannote[196].start 2628.53159375
transcript.pyannote[196].end 2628.68346875
transcript.pyannote[197].speaker SPEAKER_24
transcript.pyannote[197].start 2628.68346875
transcript.pyannote[197].end 2628.90284375
transcript.pyannote[198].speaker SPEAKER_41
transcript.pyannote[198].start 2631.55221875
transcript.pyannote[198].end 2635.88909375
transcript.pyannote[199].speaker SPEAKER_15
transcript.pyannote[199].start 2635.88909375
transcript.pyannote[199].end 2638.53846875
transcript.pyannote[200].speaker SPEAKER_18
transcript.pyannote[200].start 2639.36534375
transcript.pyannote[200].end 2662.75409375
transcript.pyannote[201].speaker SPEAKER_15
transcript.pyannote[201].start 2662.02846875
transcript.pyannote[201].end 2662.48409375
transcript.pyannote[202].speaker SPEAKER_15
transcript.pyannote[202].start 2664.81284375
transcript.pyannote[202].end 2670.58409375
transcript.pyannote[203].speaker SPEAKER_18
transcript.pyannote[203].start 2666.55096875
transcript.pyannote[203].end 2669.25096875
transcript.pyannote[204].speaker SPEAKER_24
transcript.pyannote[204].start 2669.25096875
transcript.pyannote[204].end 2669.26784375
transcript.pyannote[205].speaker SPEAKER_18
transcript.pyannote[205].start 2669.26784375
transcript.pyannote[205].end 2669.31846875
transcript.pyannote[206].speaker SPEAKER_18
transcript.pyannote[206].start 2670.44909375
transcript.pyannote[206].end 2672.01846875
transcript.pyannote[207].speaker SPEAKER_15
transcript.pyannote[207].start 2672.01846875
transcript.pyannote[207].end 2672.17034375
transcript.pyannote[208].speaker SPEAKER_18
transcript.pyannote[208].start 2672.17034375
transcript.pyannote[208].end 2674.43159375
transcript.pyannote[209].speaker SPEAKER_15
transcript.pyannote[209].start 2672.65971875
transcript.pyannote[209].end 2672.87909375
transcript.pyannote[210].speaker SPEAKER_18
transcript.pyannote[210].start 2675.73096875
transcript.pyannote[210].end 2676.62534375
transcript.pyannote[211].speaker SPEAKER_18
transcript.pyannote[211].start 2677.30034375
transcript.pyannote[211].end 2679.62909375
transcript.pyannote[212].speaker SPEAKER_18
transcript.pyannote[212].start 2680.16909375
transcript.pyannote[212].end 2681.55284375
transcript.pyannote[213].speaker SPEAKER_17
transcript.pyannote[213].start 2681.55284375
transcript.pyannote[213].end 2681.56971875
transcript.pyannote[214].speaker SPEAKER_18
transcript.pyannote[214].start 2683.05471875
transcript.pyannote[214].end 2683.07159375
transcript.pyannote[215].speaker SPEAKER_17
transcript.pyannote[215].start 2683.07159375
transcript.pyannote[215].end 2697.33096875
transcript.pyannote[216].speaker SPEAKER_24
transcript.pyannote[216].start 2695.28909375
transcript.pyannote[216].end 2695.44096875
transcript.pyannote[217].speaker SPEAKER_24
transcript.pyannote[217].start 2697.33096875
transcript.pyannote[217].end 2697.48284375
transcript.pyannote[218].speaker SPEAKER_17
transcript.pyannote[218].start 2697.48284375
transcript.pyannote[218].end 2699.82846875
transcript.pyannote[219].speaker SPEAKER_24
transcript.pyannote[219].start 2697.51659375
transcript.pyannote[219].end 2697.82034375
transcript.pyannote[220].speaker SPEAKER_17
transcript.pyannote[220].start 2699.96346875
transcript.pyannote[220].end 2712.34971875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 2703.22034375
transcript.pyannote[221].end 2703.37221875
transcript.pyannote[222].speaker SPEAKER_24
transcript.pyannote[222].start 2703.37221875
transcript.pyannote[222].end 2703.55784375
transcript.pyannote[223].speaker SPEAKER_18
transcript.pyannote[223].start 2714.61096875
transcript.pyannote[223].end 2718.27284375
transcript.pyannote[224].speaker SPEAKER_18
transcript.pyannote[224].start 2718.76221875
transcript.pyannote[224].end 2720.71971875
transcript.pyannote[225].speaker SPEAKER_18
transcript.pyannote[225].start 2721.27659375
transcript.pyannote[225].end 2722.15409375
transcript.pyannote[226].speaker SPEAKER_15
transcript.pyannote[226].start 2722.15409375
transcript.pyannote[226].end 2722.72784375
transcript.pyannote[227].speaker SPEAKER_15
transcript.pyannote[227].start 2722.96409375
transcript.pyannote[227].end 2724.33096875
transcript.pyannote[228].speaker SPEAKER_18
transcript.pyannote[228].start 2726.35596875
transcript.pyannote[228].end 2726.91284375
transcript.pyannote[229].speaker SPEAKER_15
transcript.pyannote[229].start 2726.49096875
transcript.pyannote[229].end 2726.82846875
transcript.pyannote[230].speaker SPEAKER_15
transcript.pyannote[230].start 2726.91284375
transcript.pyannote[230].end 2730.00096875
transcript.pyannote[231].speaker SPEAKER_18
transcript.pyannote[231].start 2728.73534375
transcript.pyannote[231].end 2750.53784375
transcript.pyannote[232].speaker SPEAKER_15
transcript.pyannote[232].start 2737.44284375
transcript.pyannote[232].end 2737.67909375
transcript.pyannote[233].speaker SPEAKER_06
transcript.pyannote[233].start 2737.67909375
transcript.pyannote[233].end 2739.21471875
transcript.pyannote[234].speaker SPEAKER_15
transcript.pyannote[234].start 2739.21471875
transcript.pyannote[234].end 2739.40034375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 2741.99909375
transcript.pyannote[235].end 2742.03284375
transcript.pyannote[236].speaker SPEAKER_15
transcript.pyannote[236].start 2742.03284375
transcript.pyannote[236].end 2742.67409375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 2744.83409375
transcript.pyannote[237].end 2744.86784375
transcript.pyannote[238].speaker SPEAKER_39
transcript.pyannote[238].start 2744.86784375
transcript.pyannote[238].end 2745.01971875
transcript.pyannote[239].speaker SPEAKER_15
transcript.pyannote[239].start 2745.01971875
transcript.pyannote[239].end 2747.93909375
transcript.pyannote[240].speaker SPEAKER_18
transcript.pyannote[240].start 2751.06096875
transcript.pyannote[240].end 2755.31346875
transcript.pyannote[241].speaker SPEAKER_24
transcript.pyannote[241].start 2751.56721875
transcript.pyannote[241].end 2751.83721875
transcript.pyannote[242].speaker SPEAKER_18
transcript.pyannote[242].start 2755.68471875
transcript.pyannote[242].end 2757.92909375
transcript.pyannote[243].speaker SPEAKER_37
transcript.pyannote[243].start 2759.09346875
transcript.pyannote[243].end 2759.11034375
transcript.pyannote[244].speaker SPEAKER_18
transcript.pyannote[244].start 2759.11034375
transcript.pyannote[244].end 2759.14409375
transcript.pyannote[245].speaker SPEAKER_37
transcript.pyannote[245].start 2759.14409375
transcript.pyannote[245].end 2759.68409375
transcript.pyannote[246].speaker SPEAKER_18
transcript.pyannote[246].start 2759.17784375
transcript.pyannote[246].end 2759.46471875
transcript.pyannote[247].speaker SPEAKER_24
transcript.pyannote[247].start 2759.46471875
transcript.pyannote[247].end 2761.35471875
transcript.pyannote[248].speaker SPEAKER_18
transcript.pyannote[248].start 2759.68409375
transcript.pyannote[248].end 2759.75159375
transcript.pyannote[249].speaker SPEAKER_24
transcript.pyannote[249].start 2761.45596875
transcript.pyannote[249].end 2761.47284375
transcript.pyannote[250].speaker SPEAKER_18
transcript.pyannote[250].start 2761.47284375
transcript.pyannote[250].end 2761.50659375
transcript.pyannote[251].speaker SPEAKER_37
transcript.pyannote[251].start 2761.50659375
transcript.pyannote[251].end 2770.07909375
transcript.pyannote[252].speaker SPEAKER_37
transcript.pyannote[252].start 2770.51784375
transcript.pyannote[252].end 2795.61096875
transcript.pyannote[253].speaker SPEAKER_37
transcript.pyannote[253].start 2795.89784375
transcript.pyannote[253].end 2797.09596875
transcript.pyannote[254].speaker SPEAKER_37
transcript.pyannote[254].start 2797.43346875
transcript.pyannote[254].end 2807.27159375
transcript.pyannote[255].speaker SPEAKER_24
transcript.pyannote[255].start 2807.27159375
transcript.pyannote[255].end 2807.50784375
transcript.pyannote[256].speaker SPEAKER_37
transcript.pyannote[256].start 2807.50784375
transcript.pyannote[256].end 2876.77971875
transcript.pyannote[257].speaker SPEAKER_37
transcript.pyannote[257].start 2877.33659375
transcript.pyannote[257].end 2882.73659375
transcript.pyannote[258].speaker SPEAKER_37
transcript.pyannote[258].start 2883.04034375
transcript.pyannote[258].end 2987.17596875
transcript.pyannote[259].speaker SPEAKER_37
transcript.pyannote[259].start 2987.54721875
transcript.pyannote[259].end 3036.88971875
transcript.pyannote[260].speaker SPEAKER_37
transcript.pyannote[260].start 3037.22721875
transcript.pyannote[260].end 3117.77159375
transcript.pyannote[261].speaker SPEAKER_18
transcript.pyannote[261].start 3118.85159375
transcript.pyannote[261].end 3120.03284375
transcript.pyannote[262].speaker SPEAKER_18
transcript.pyannote[262].start 3120.33659375
transcript.pyannote[262].end 3124.57221875
transcript.pyannote[263].speaker SPEAKER_18
transcript.pyannote[263].start 3124.70721875
transcript.pyannote[263].end 3124.74096875
transcript.pyannote[264].speaker SPEAKER_41
transcript.pyannote[264].start 3124.74096875
transcript.pyannote[264].end 3125.06159375
transcript.pyannote[265].speaker SPEAKER_18
transcript.pyannote[265].start 3125.06159375
transcript.pyannote[265].end 3129.78659375
transcript.pyannote[266].speaker SPEAKER_41
transcript.pyannote[266].start 3128.14971875
transcript.pyannote[266].end 3137.19471875
transcript.pyannote[267].speaker SPEAKER_18
transcript.pyannote[267].start 3131.59221875
transcript.pyannote[267].end 3132.38534375
transcript.pyannote[268].speaker SPEAKER_24
transcript.pyannote[268].start 3132.38534375
transcript.pyannote[268].end 3132.40221875
transcript.pyannote[269].speaker SPEAKER_24
transcript.pyannote[269].start 3133.87034375
transcript.pyannote[269].end 3135.16971875
transcript.pyannote[270].speaker SPEAKER_24
transcript.pyannote[270].start 3135.40596875
transcript.pyannote[270].end 3135.65909375
transcript.pyannote[271].speaker SPEAKER_07
transcript.pyannote[271].start 3137.19471875
transcript.pyannote[271].end 3137.21159375
transcript.pyannote[272].speaker SPEAKER_24
transcript.pyannote[272].start 3139.28721875
transcript.pyannote[272].end 3140.06346875
transcript.pyannote[273].speaker SPEAKER_07
transcript.pyannote[273].start 3139.64159375
transcript.pyannote[273].end 3163.40159375
transcript.pyannote[274].speaker SPEAKER_24
transcript.pyannote[274].start 3144.99096875
transcript.pyannote[274].end 3145.15971875
transcript.pyannote[275].speaker SPEAKER_24
transcript.pyannote[275].start 3163.13159375
transcript.pyannote[275].end 3163.43534375
transcript.pyannote[276].speaker SPEAKER_07
transcript.pyannote[276].start 3163.43534375
transcript.pyannote[276].end 3172.05846875
transcript.pyannote[277].speaker SPEAKER_24
transcript.pyannote[277].start 3163.46909375
transcript.pyannote[277].end 3163.50284375
transcript.pyannote[278].speaker SPEAKER_07
transcript.pyannote[278].start 3172.51409375
transcript.pyannote[278].end 3190.28346875
transcript.pyannote[279].speaker SPEAKER_07
transcript.pyannote[279].start 3190.50284375
transcript.pyannote[279].end 3196.47659375
transcript.pyannote[280].speaker SPEAKER_07
transcript.pyannote[280].start 3196.54409375
transcript.pyannote[280].end 3205.94346875
transcript.pyannote[281].speaker SPEAKER_07
transcript.pyannote[281].start 3206.24721875
transcript.pyannote[281].end 3211.63034375
transcript.pyannote[282].speaker SPEAKER_18
transcript.pyannote[282].start 3211.63034375
transcript.pyannote[282].end 3226.59846875
transcript.pyannote[283].speaker SPEAKER_07
transcript.pyannote[283].start 3212.18721875
transcript.pyannote[283].end 3212.52471875
transcript.pyannote[284].speaker SPEAKER_15
transcript.pyannote[284].start 3226.59846875
transcript.pyannote[284].end 3227.59409375
transcript.pyannote[285].speaker SPEAKER_18
transcript.pyannote[285].start 3227.59409375
transcript.pyannote[285].end 3227.66159375
transcript.pyannote[286].speaker SPEAKER_37
transcript.pyannote[286].start 3227.66159375
transcript.pyannote[286].end 3234.88409375
transcript.pyannote[287].speaker SPEAKER_37
transcript.pyannote[287].start 3235.59284375
transcript.pyannote[287].end 3251.97846875
transcript.pyannote[288].speaker SPEAKER_19
transcript.pyannote[288].start 3251.97846875
transcript.pyannote[288].end 3256.29846875
transcript.pyannote[289].speaker SPEAKER_19
transcript.pyannote[289].start 3256.68659375
transcript.pyannote[289].end 3270.87846875
transcript.pyannote[290].speaker SPEAKER_17
transcript.pyannote[290].start 3269.71409375
transcript.pyannote[290].end 3269.73096875
transcript.pyannote[291].speaker SPEAKER_18
transcript.pyannote[291].start 3269.73096875
transcript.pyannote[291].end 3269.74784375
transcript.pyannote[292].speaker SPEAKER_17
transcript.pyannote[292].start 3269.74784375
transcript.pyannote[292].end 3270.50721875
transcript.pyannote[293].speaker SPEAKER_17
transcript.pyannote[293].start 3271.31721875
transcript.pyannote[293].end 3271.82346875
transcript.pyannote[294].speaker SPEAKER_17
transcript.pyannote[294].start 3272.17784375
transcript.pyannote[294].end 3274.15221875
transcript.pyannote[295].speaker SPEAKER_17
transcript.pyannote[295].start 3274.65846875
transcript.pyannote[295].end 3277.72971875
transcript.pyannote[296].speaker SPEAKER_17
transcript.pyannote[296].start 3277.89846875
transcript.pyannote[296].end 3280.05846875
transcript.pyannote[297].speaker SPEAKER_17
transcript.pyannote[297].start 3280.58159375
transcript.pyannote[297].end 3298.36784375
transcript.pyannote[298].speaker SPEAKER_17
transcript.pyannote[298].start 3298.97534375
transcript.pyannote[298].end 3311.42909375
transcript.pyannote[299].speaker SPEAKER_17
transcript.pyannote[299].start 3311.81721875
transcript.pyannote[299].end 3313.08284375
transcript.pyannote[300].speaker SPEAKER_24
transcript.pyannote[300].start 3314.23034375
transcript.pyannote[300].end 3314.58471875
transcript.pyannote[301].speaker SPEAKER_17
transcript.pyannote[301].start 3314.61846875
transcript.pyannote[301].end 3326.11034375
transcript.pyannote[302].speaker SPEAKER_24
transcript.pyannote[302].start 3316.50846875
transcript.pyannote[302].end 3317.38596875
transcript.pyannote[303].speaker SPEAKER_19
transcript.pyannote[303].start 3324.27096875
transcript.pyannote[303].end 3324.65909375
transcript.pyannote[304].speaker SPEAKER_19
transcript.pyannote[304].start 3325.82346875
transcript.pyannote[304].end 3332.06721875
transcript.pyannote[305].speaker SPEAKER_18
transcript.pyannote[305].start 3328.57409375
transcript.pyannote[305].end 3329.90721875
transcript.pyannote[306].speaker SPEAKER_17
transcript.pyannote[306].start 3329.90721875
transcript.pyannote[306].end 3329.92409375
transcript.pyannote[307].speaker SPEAKER_18
transcript.pyannote[307].start 3329.92409375
transcript.pyannote[307].end 3329.94096875
transcript.pyannote[308].speaker SPEAKER_17
transcript.pyannote[308].start 3329.94096875
transcript.pyannote[308].end 3329.97471875
transcript.pyannote[309].speaker SPEAKER_18
transcript.pyannote[309].start 3329.97471875
transcript.pyannote[309].end 3330.39659375
transcript.pyannote[310].speaker SPEAKER_17
transcript.pyannote[310].start 3330.39659375
transcript.pyannote[310].end 3330.56534375
transcript.pyannote[311].speaker SPEAKER_18
transcript.pyannote[311].start 3330.56534375
transcript.pyannote[311].end 3331.39221875
transcript.pyannote[312].speaker SPEAKER_18
transcript.pyannote[312].start 3332.86034375
transcript.pyannote[312].end 3333.24846875
transcript.pyannote[313].speaker SPEAKER_18
transcript.pyannote[313].start 3334.21034375
transcript.pyannote[313].end 3335.88096875
transcript.pyannote[314].speaker SPEAKER_18
transcript.pyannote[314].start 3337.29846875
transcript.pyannote[314].end 3339.05346875
transcript.pyannote[315].speaker SPEAKER_18
transcript.pyannote[315].start 3339.18846875
transcript.pyannote[315].end 3341.39909375
transcript.pyannote[316].speaker SPEAKER_18
transcript.pyannote[316].start 3341.80409375
transcript.pyannote[316].end 3363.72471875
transcript.pyannote[317].speaker SPEAKER_06
transcript.pyannote[317].start 3366.39096875
transcript.pyannote[317].end 3367.53846875
transcript.pyannote[318].speaker SPEAKER_06
transcript.pyannote[318].start 3367.97721875
transcript.pyannote[318].end 3373.54596875
transcript.pyannote[319].speaker SPEAKER_06
transcript.pyannote[319].start 3373.76534375
transcript.pyannote[319].end 3376.93784375
transcript.pyannote[320].speaker SPEAKER_06
transcript.pyannote[320].start 3376.98846875
transcript.pyannote[320].end 3384.05909375
transcript.pyannote[321].speaker SPEAKER_06
transcript.pyannote[321].start 3384.10971875
transcript.pyannote[321].end 3384.14346875
transcript.pyannote[322].speaker SPEAKER_06
transcript.pyannote[322].start 3384.16034375
transcript.pyannote[322].end 3392.19284375
transcript.pyannote[323].speaker SPEAKER_18
transcript.pyannote[323].start 3394.55534375
transcript.pyannote[323].end 3395.41596875
transcript.pyannote[324].speaker SPEAKER_18
transcript.pyannote[324].start 3396.24284375
transcript.pyannote[324].end 3399.66846875
transcript.pyannote[325].speaker SPEAKER_18
transcript.pyannote[325].start 3400.27596875
transcript.pyannote[325].end 3414.04596875
transcript.pyannote[326].speaker SPEAKER_18
transcript.pyannote[326].start 3414.72096875
transcript.pyannote[326].end 3415.04159375
transcript.pyannote[327].speaker SPEAKER_18
transcript.pyannote[327].start 3415.68284375
transcript.pyannote[327].end 3418.55159375
transcript.pyannote[328].speaker SPEAKER_18
transcript.pyannote[328].start 3418.80471875
transcript.pyannote[328].end 3425.03159375
transcript.pyannote[329].speaker SPEAKER_18
transcript.pyannote[329].start 3425.20034375
transcript.pyannote[329].end 3425.65596875
transcript.pyannote[330].speaker SPEAKER_18
transcript.pyannote[330].start 3426.06096875
transcript.pyannote[330].end 3427.20846875
transcript.pyannote[331].speaker SPEAKER_18
transcript.pyannote[331].start 3428.15346875
transcript.pyannote[331].end 3431.10659375
transcript.pyannote[332].speaker SPEAKER_18
transcript.pyannote[332].start 3434.53221875
transcript.pyannote[332].end 3438.49784375
transcript.pyannote[333].speaker SPEAKER_18
transcript.pyannote[333].start 3442.27784375
transcript.pyannote[333].end 3442.68284375
transcript.pyannote[334].speaker SPEAKER_18
transcript.pyannote[334].start 3443.27346875
transcript.pyannote[334].end 3444.06659375
transcript.pyannote[335].speaker SPEAKER_18
transcript.pyannote[335].start 3444.70784375
transcript.pyannote[335].end 3447.82971875
transcript.pyannote[336].speaker SPEAKER_18
transcript.pyannote[336].start 3448.31909375
transcript.pyannote[336].end 3450.69846875
transcript.pyannote[337].speaker SPEAKER_18
transcript.pyannote[337].start 3451.45784375
transcript.pyannote[337].end 3453.60096875
transcript.pyannote[338].speaker SPEAKER_18
transcript.pyannote[338].start 3454.39409375
transcript.pyannote[338].end 3456.01409375
transcript.pyannote[339].speaker SPEAKER_17
transcript.pyannote[339].start 3456.01409375
transcript.pyannote[339].end 3456.03096875
transcript.pyannote[340].speaker SPEAKER_17
transcript.pyannote[340].start 3457.34721875
transcript.pyannote[340].end 3491.85659375
transcript.pyannote[341].speaker SPEAKER_24
transcript.pyannote[341].start 3491.85659375
transcript.pyannote[341].end 3492.10971875
transcript.pyannote[342].speaker SPEAKER_17
transcript.pyannote[342].start 3492.10971875
transcript.pyannote[342].end 3526.55159375
transcript.pyannote[343].speaker SPEAKER_17
transcript.pyannote[343].start 3527.66534375
transcript.pyannote[343].end 3527.96909375
transcript.pyannote[344].speaker SPEAKER_18
transcript.pyannote[344].start 3527.96909375
transcript.pyannote[344].end 3534.12846875
transcript.pyannote[345].speaker SPEAKER_17
transcript.pyannote[345].start 3534.12846875
transcript.pyannote[345].end 3539.56221875
transcript.pyannote[346].speaker SPEAKER_17
transcript.pyannote[346].start 3539.69721875
transcript.pyannote[346].end 3556.20096875
transcript.pyannote[347].speaker SPEAKER_24
transcript.pyannote[347].start 3543.49409375
transcript.pyannote[347].end 3543.67971875
transcript.pyannote[348].speaker SPEAKER_24
transcript.pyannote[348].start 3543.69659375
transcript.pyannote[348].end 3543.73034375
transcript.pyannote[349].speaker SPEAKER_24
transcript.pyannote[349].start 3543.89909375
transcript.pyannote[349].end 3544.01721875
transcript.pyannote[350].speaker SPEAKER_39
transcript.pyannote[350].start 3553.56846875
transcript.pyannote[350].end 3553.95659375
transcript.pyannote[351].speaker SPEAKER_24
transcript.pyannote[351].start 3553.95659375
transcript.pyannote[351].end 3553.97346875
transcript.pyannote[352].speaker SPEAKER_39
transcript.pyannote[352].start 3553.97346875
transcript.pyannote[352].end 3553.99034375
transcript.pyannote[353].speaker SPEAKER_17
transcript.pyannote[353].start 3556.63971875
transcript.pyannote[353].end 3569.65034375
transcript.pyannote[354].speaker SPEAKER_24
transcript.pyannote[354].start 3565.34721875
transcript.pyannote[354].end 3566.02221875
transcript.pyannote[355].speaker SPEAKER_24
transcript.pyannote[355].start 3569.61659375
transcript.pyannote[355].end 3569.63346875
transcript.pyannote[356].speaker SPEAKER_24
transcript.pyannote[356].start 3569.65034375
transcript.pyannote[356].end 3570.03846875
transcript.pyannote[357].speaker SPEAKER_17
transcript.pyannote[357].start 3569.86971875
transcript.pyannote[357].end 3582.40784375
transcript.pyannote[358].speaker SPEAKER_24
transcript.pyannote[358].start 3578.47596875
transcript.pyannote[358].end 3581.02409375
transcript.pyannote[359].speaker SPEAKER_15
transcript.pyannote[359].start 3581.02409375
transcript.pyannote[359].end 3581.36159375
transcript.pyannote[360].speaker SPEAKER_24
transcript.pyannote[360].start 3581.36159375
transcript.pyannote[360].end 3582.03659375
transcript.pyannote[361].speaker SPEAKER_15
transcript.pyannote[361].start 3582.03659375
transcript.pyannote[361].end 3582.39096875
transcript.pyannote[362].speaker SPEAKER_24
transcript.pyannote[362].start 3582.39096875
transcript.pyannote[362].end 3582.44159375
transcript.pyannote[363].speaker SPEAKER_15
transcript.pyannote[363].start 3582.40784375
transcript.pyannote[363].end 3585.86721875
transcript.pyannote[364].speaker SPEAKER_06
transcript.pyannote[364].start 3584.11221875
transcript.pyannote[364].end 3585.96846875
transcript.pyannote[365].speaker SPEAKER_15
transcript.pyannote[365].start 3585.91784375
transcript.pyannote[365].end 3586.49159375
transcript.pyannote[366].speaker SPEAKER_15
transcript.pyannote[366].start 3588.41534375
transcript.pyannote[366].end 3589.15784375
transcript.pyannote[367].speaker SPEAKER_06
transcript.pyannote[367].start 3589.34346875
transcript.pyannote[367].end 3610.26846875
transcript.pyannote[368].speaker SPEAKER_24
transcript.pyannote[368].start 3606.99471875
transcript.pyannote[368].end 3607.16346875
transcript.pyannote[369].speaker SPEAKER_24
transcript.pyannote[369].start 3609.25596875
transcript.pyannote[369].end 3609.32346875
transcript.pyannote[370].speaker SPEAKER_39
transcript.pyannote[370].start 3609.32346875
transcript.pyannote[370].end 3609.34034375
transcript.pyannote[371].speaker SPEAKER_24
transcript.pyannote[371].start 3609.34034375
transcript.pyannote[371].end 3609.47534375
transcript.pyannote[372].speaker SPEAKER_39
transcript.pyannote[372].start 3609.47534375
transcript.pyannote[372].end 3609.50909375
transcript.pyannote[373].speaker SPEAKER_24
transcript.pyannote[373].start 3609.50909375
transcript.pyannote[373].end 3609.71159375
transcript.pyannote[374].speaker SPEAKER_06
transcript.pyannote[374].start 3610.77471875
transcript.pyannote[374].end 3624.69659375
transcript.pyannote[375].speaker SPEAKER_24
transcript.pyannote[375].start 3618.75659375
transcript.pyannote[375].end 3618.87471875
transcript.pyannote[376].speaker SPEAKER_24
transcript.pyannote[376].start 3625.11846875
transcript.pyannote[376].end 3626.11409375
transcript.pyannote[377].speaker SPEAKER_06
transcript.pyannote[377].start 3626.11409375
transcript.pyannote[377].end 3627.09284375
transcript.pyannote[378].speaker SPEAKER_05
transcript.pyannote[378].start 3627.09284375
transcript.pyannote[378].end 3635.46284375
transcript.pyannote[379].speaker SPEAKER_24
transcript.pyannote[379].start 3632.54346875
transcript.pyannote[379].end 3632.91471875
transcript.pyannote[380].speaker SPEAKER_05
transcript.pyannote[380].start 3636.30659375
transcript.pyannote[380].end 3653.53596875
transcript.pyannote[381].speaker SPEAKER_05
transcript.pyannote[381].start 3654.27846875
transcript.pyannote[381].end 3670.32659375
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 3670.51221875
transcript.pyannote[382].end 3676.70534375
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 3677.66721875
transcript.pyannote[383].end 3677.68409375
transcript.pyannote[384].speaker SPEAKER_18
transcript.pyannote[384].start 3677.68409375
transcript.pyannote[384].end 3678.12284375
transcript.pyannote[385].speaker SPEAKER_18
transcript.pyannote[385].start 3678.49409375
transcript.pyannote[385].end 3685.19346875
transcript.pyannote[386].speaker SPEAKER_18
transcript.pyannote[386].start 3685.71659375
transcript.pyannote[386].end 3702.30471875
transcript.pyannote[387].speaker SPEAKER_15
transcript.pyannote[387].start 3697.44471875
transcript.pyannote[387].end 3697.46159375
transcript.pyannote[388].speaker SPEAKER_08
transcript.pyannote[388].start 3697.46159375
transcript.pyannote[388].end 3697.57971875
transcript.pyannote[389].speaker SPEAKER_15
transcript.pyannote[389].start 3697.57971875
transcript.pyannote[389].end 3697.71471875
transcript.pyannote[390].speaker SPEAKER_18
transcript.pyannote[390].start 3702.55784375
transcript.pyannote[390].end 3712.12596875
transcript.pyannote[391].speaker SPEAKER_24
transcript.pyannote[391].start 3702.91221875
transcript.pyannote[391].end 3703.53659375
transcript.pyannote[392].speaker SPEAKER_13
transcript.pyannote[392].start 3703.53659375
transcript.pyannote[392].end 3704.16096875
transcript.pyannote[393].speaker SPEAKER_24
transcript.pyannote[393].start 3704.16096875
transcript.pyannote[393].end 3704.29596875
transcript.pyannote[394].speaker SPEAKER_24
transcript.pyannote[394].start 3706.33784375
transcript.pyannote[394].end 3706.35471875
transcript.pyannote[395].speaker SPEAKER_00
transcript.pyannote[395].start 3706.35471875
transcript.pyannote[395].end 3706.37159375
transcript.pyannote[396].speaker SPEAKER_24
transcript.pyannote[396].start 3706.37159375
transcript.pyannote[396].end 3706.43909375
transcript.pyannote[397].speaker SPEAKER_13
transcript.pyannote[397].start 3706.43909375
transcript.pyannote[397].end 3706.45596875
transcript.pyannote[398].speaker SPEAKER_24
transcript.pyannote[398].start 3706.47284375
transcript.pyannote[398].end 3706.59096875
transcript.pyannote[399].speaker SPEAKER_24
transcript.pyannote[399].start 3706.60784375
transcript.pyannote[399].end 3706.79346875
transcript.pyannote[400].speaker SPEAKER_24
transcript.pyannote[400].start 3707.08034375
transcript.pyannote[400].end 3707.13096875
transcript.pyannote[401].speaker SPEAKER_13
transcript.pyannote[401].start 3707.13096875
transcript.pyannote[401].end 3707.18159375
transcript.pyannote[402].speaker SPEAKER_24
transcript.pyannote[402].start 3707.18159375
transcript.pyannote[402].end 3707.33346875
transcript.pyannote[403].speaker SPEAKER_18
transcript.pyannote[403].start 3712.48034375
transcript.pyannote[403].end 3724.91721875
transcript.pyannote[404].speaker SPEAKER_18
transcript.pyannote[404].start 3725.71034375
transcript.pyannote[404].end 3726.43596875
transcript.pyannote[405].speaker SPEAKER_18
transcript.pyannote[405].start 3728.81534375
transcript.pyannote[405].end 3730.43534375
transcript.pyannote[406].speaker SPEAKER_18
transcript.pyannote[406].start 3730.92471875
transcript.pyannote[406].end 3733.03409375
transcript.pyannote[407].speaker SPEAKER_41
transcript.pyannote[407].start 3733.03409375
transcript.pyannote[407].end 3754.97159375
transcript.pyannote[408].speaker SPEAKER_18
transcript.pyannote[408].start 3736.61159375
transcript.pyannote[408].end 3737.97846875
transcript.pyannote[409].speaker SPEAKER_00
transcript.pyannote[409].start 3737.97846875
transcript.pyannote[409].end 3738.02909375
transcript.pyannote[410].speaker SPEAKER_24
transcript.pyannote[410].start 3738.02909375
transcript.pyannote[410].end 3739.02471875
transcript.pyannote[411].speaker SPEAKER_15
transcript.pyannote[411].start 3739.02471875
transcript.pyannote[411].end 3740.52659375
transcript.pyannote[412].speaker SPEAKER_15
transcript.pyannote[412].start 3743.02409375
transcript.pyannote[412].end 3746.63534375
transcript.pyannote[413].speaker SPEAKER_24
transcript.pyannote[413].start 3746.63534375
transcript.pyannote[413].end 3746.90534375
transcript.pyannote[414].speaker SPEAKER_24
transcript.pyannote[414].start 3751.69784375
transcript.pyannote[414].end 3751.71471875
transcript.pyannote[415].speaker SPEAKER_10
transcript.pyannote[415].start 3751.71471875
transcript.pyannote[415].end 3816.34596875
transcript.pyannote[416].speaker SPEAKER_24
transcript.pyannote[416].start 3763.91534375
transcript.pyannote[416].end 3764.64096875
transcript.pyannote[417].speaker SPEAKER_09
transcript.pyannote[417].start 3765.23159375
transcript.pyannote[417].end 3765.28221875
transcript.pyannote[418].speaker SPEAKER_24
transcript.pyannote[418].start 3765.28221875
transcript.pyannote[418].end 3765.50159375
transcript.pyannote[419].speaker SPEAKER_24
transcript.pyannote[419].start 3765.56909375
transcript.pyannote[419].end 3765.60284375
transcript.pyannote[420].speaker SPEAKER_24
transcript.pyannote[420].start 3775.89659375
transcript.pyannote[420].end 3777.21284375
transcript.pyannote[421].speaker SPEAKER_00
transcript.pyannote[421].start 3777.21284375
transcript.pyannote[421].end 3777.24659375
transcript.pyannote[422].speaker SPEAKER_00
transcript.pyannote[422].start 3801.74909375
transcript.pyannote[422].end 3801.81659375
transcript.pyannote[423].speaker SPEAKER_00
transcript.pyannote[423].start 3805.46159375
transcript.pyannote[423].end 3806.84534375
transcript.pyannote[424].speaker SPEAKER_00
transcript.pyannote[424].start 3811.73909375
transcript.pyannote[424].end 3812.58284375
transcript.pyannote[425].speaker SPEAKER_10
transcript.pyannote[425].start 3816.63284375
transcript.pyannote[425].end 3855.02346875
transcript.pyannote[426].speaker SPEAKER_24
transcript.pyannote[426].start 3846.36659375
transcript.pyannote[426].end 3847.53096875
transcript.pyannote[427].speaker SPEAKER_00
transcript.pyannote[427].start 3847.53096875
transcript.pyannote[427].end 3847.66596875
transcript.pyannote[428].speaker SPEAKER_00
transcript.pyannote[428].start 3848.56034375
transcript.pyannote[428].end 3849.03284375
transcript.pyannote[429].speaker SPEAKER_24
transcript.pyannote[429].start 3849.03284375
transcript.pyannote[429].end 3849.99471875
transcript.pyannote[430].speaker SPEAKER_10
transcript.pyannote[430].start 3855.12471875
transcript.pyannote[430].end 3884.94284375
transcript.pyannote[431].speaker SPEAKER_24
transcript.pyannote[431].start 3855.64784375
transcript.pyannote[431].end 3856.37346875
transcript.pyannote[432].speaker SPEAKER_41
transcript.pyannote[432].start 3882.79971875
transcript.pyannote[432].end 3884.11596875
transcript.pyannote[433].speaker SPEAKER_10
transcript.pyannote[433].start 3885.92159375
transcript.pyannote[433].end 3885.93846875
transcript.pyannote[434].speaker SPEAKER_41
transcript.pyannote[434].start 3885.93846875
transcript.pyannote[434].end 3892.08096875
transcript.pyannote[435].speaker SPEAKER_10
transcript.pyannote[435].start 3886.17471875
transcript.pyannote[435].end 3888.03096875
transcript.pyannote[436].speaker SPEAKER_03
transcript.pyannote[436].start 3888.03096875
transcript.pyannote[436].end 3888.73971875
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 3888.73971875
transcript.pyannote[437].end 3888.97596875
transcript.pyannote[438].speaker SPEAKER_03
transcript.pyannote[438].start 3888.97596875
transcript.pyannote[438].end 3889.56659375
transcript.pyannote[439].speaker SPEAKER_10
transcript.pyannote[439].start 3889.56659375
transcript.pyannote[439].end 3889.97159375
transcript.pyannote[440].speaker SPEAKER_03
transcript.pyannote[440].start 3889.97159375
transcript.pyannote[440].end 3890.24159375
transcript.pyannote[441].speaker SPEAKER_18
transcript.pyannote[441].start 3890.24159375
transcript.pyannote[441].end 3891.13596875
transcript.pyannote[442].speaker SPEAKER_03
transcript.pyannote[442].start 3891.49034375
transcript.pyannote[442].end 3891.55784375
transcript.pyannote[443].speaker SPEAKER_18
transcript.pyannote[443].start 3891.55784375
transcript.pyannote[443].end 3892.68846875
transcript.pyannote[444].speaker SPEAKER_03
transcript.pyannote[444].start 3892.08096875
transcript.pyannote[444].end 3892.95846875
transcript.pyannote[445].speaker SPEAKER_41
transcript.pyannote[445].start 3892.68846875
transcript.pyannote[445].end 3892.84034375
transcript.pyannote[446].speaker SPEAKER_18
transcript.pyannote[446].start 3892.84034375
transcript.pyannote[446].end 3892.89096875
transcript.pyannote[447].speaker SPEAKER_41
transcript.pyannote[447].start 3892.89096875
transcript.pyannote[447].end 3892.97534375
transcript.pyannote[448].speaker SPEAKER_18
transcript.pyannote[448].start 3892.95846875
transcript.pyannote[448].end 3894.71346875
transcript.pyannote[449].speaker SPEAKER_03
transcript.pyannote[449].start 3892.97534375
transcript.pyannote[449].end 3893.70096875
transcript.pyannote[450].speaker SPEAKER_03
transcript.pyannote[450].start 3894.39284375
transcript.pyannote[450].end 3901.58159375
transcript.pyannote[451].speaker SPEAKER_24
transcript.pyannote[451].start 3901.41284375
transcript.pyannote[451].end 3901.98659375
transcript.pyannote[452].speaker SPEAKER_03
transcript.pyannote[452].start 3901.73346875
transcript.pyannote[452].end 3951.07596875
transcript.pyannote[453].speaker SPEAKER_24
transcript.pyannote[453].start 3904.85534375
transcript.pyannote[453].end 3904.88909375
transcript.pyannote[454].speaker SPEAKER_24
transcript.pyannote[454].start 3904.97346875
transcript.pyannote[454].end 3905.22659375
transcript.pyannote[455].speaker SPEAKER_15
transcript.pyannote[455].start 3950.21534375
transcript.pyannote[455].end 3951.04221875
transcript.pyannote[456].speaker SPEAKER_15
transcript.pyannote[456].start 3951.07596875
transcript.pyannote[456].end 3952.03784375
transcript.pyannote[457].speaker SPEAKER_24
transcript.pyannote[457].start 3952.03784375
transcript.pyannote[457].end 3952.61159375
transcript.pyannote[458].speaker SPEAKER_15
transcript.pyannote[458].start 3952.61159375
transcript.pyannote[458].end 3953.45534375
transcript.pyannote[459].speaker SPEAKER_03
transcript.pyannote[459].start 3952.69596875
transcript.pyannote[459].end 3953.25284375
transcript.pyannote[460].speaker SPEAKER_03
transcript.pyannote[460].start 3953.45534375
transcript.pyannote[460].end 3954.02909375
transcript.pyannote[461].speaker SPEAKER_15
transcript.pyannote[461].start 3953.64096875
transcript.pyannote[461].end 3955.02471875
transcript.pyannote[462].speaker SPEAKER_14
transcript.pyannote[462].start 3954.02909375
transcript.pyannote[462].end 3954.78846875
transcript.pyannote[463].speaker SPEAKER_24
transcript.pyannote[463].start 3955.02471875
transcript.pyannote[463].end 3955.96971875
transcript.pyannote[464].speaker SPEAKER_15
transcript.pyannote[464].start 3955.96971875
transcript.pyannote[464].end 3956.22284375
transcript.pyannote[465].speaker SPEAKER_14
transcript.pyannote[465].start 3956.89784375
transcript.pyannote[465].end 3969.19971875
transcript.pyannote[466].speaker SPEAKER_14
transcript.pyannote[466].start 3969.58784375
transcript.pyannote[466].end 4041.79596875
transcript.pyannote[467].speaker SPEAKER_00
transcript.pyannote[467].start 4026.37221875
transcript.pyannote[467].end 4026.79409375
transcript.pyannote[468].speaker SPEAKER_00
transcript.pyannote[468].start 4029.51096875
transcript.pyannote[468].end 4030.32096875
transcript.pyannote[469].speaker SPEAKER_24
transcript.pyannote[469].start 4039.34909375
transcript.pyannote[469].end 4039.38284375
transcript.pyannote[470].speaker SPEAKER_15
transcript.pyannote[470].start 4039.38284375
transcript.pyannote[470].end 4039.41659375
transcript.pyannote[471].speaker SPEAKER_24
transcript.pyannote[471].start 4039.41659375
transcript.pyannote[471].end 4040.02409375
transcript.pyannote[472].speaker SPEAKER_15
transcript.pyannote[472].start 4040.02409375
transcript.pyannote[472].end 4040.24346875
transcript.pyannote[473].speaker SPEAKER_15
transcript.pyannote[473].start 4040.61471875
transcript.pyannote[473].end 4044.15846875
transcript.pyannote[474].speaker SPEAKER_24
transcript.pyannote[474].start 4041.79596875
transcript.pyannote[474].end 4041.82971875
transcript.pyannote[475].speaker SPEAKER_18
transcript.pyannote[475].start 4045.12034375
transcript.pyannote[475].end 4046.21721875
transcript.pyannote[476].speaker SPEAKER_15
transcript.pyannote[476].start 4047.53346875
transcript.pyannote[476].end 4047.85409375
transcript.pyannote[477].speaker SPEAKER_15
transcript.pyannote[477].start 4047.97221875
transcript.pyannote[477].end 4048.03971875
transcript.pyannote[478].speaker SPEAKER_15
transcript.pyannote[478].start 4048.29284375
transcript.pyannote[478].end 4048.32659375
transcript.pyannote[479].speaker SPEAKER_10
transcript.pyannote[479].start 4048.32659375
transcript.pyannote[479].end 4048.37721875
transcript.pyannote[480].speaker SPEAKER_15
transcript.pyannote[480].start 4048.37721875
transcript.pyannote[480].end 4048.49534375
transcript.pyannote[481].speaker SPEAKER_18
transcript.pyannote[481].start 4048.49534375
transcript.pyannote[481].end 4056.93284375
transcript.pyannote[482].speaker SPEAKER_15
transcript.pyannote[482].start 4048.51221875
transcript.pyannote[482].end 4049.28846875
transcript.pyannote[483].speaker SPEAKER_10
transcript.pyannote[483].start 4049.28846875
transcript.pyannote[483].end 4049.44034375
transcript.pyannote[484].speaker SPEAKER_08
transcript.pyannote[484].start 4049.44034375
transcript.pyannote[484].end 4049.50784375
transcript.pyannote[485].speaker SPEAKER_10
transcript.pyannote[485].start 4049.50784375
transcript.pyannote[485].end 4049.71034375
transcript.pyannote[486].speaker SPEAKER_08
transcript.pyannote[486].start 4049.71034375
transcript.pyannote[486].end 4049.72721875
transcript.pyannote[487].speaker SPEAKER_10
transcript.pyannote[487].start 4049.72721875
transcript.pyannote[487].end 4051.17846875
transcript.pyannote[488].speaker SPEAKER_10
transcript.pyannote[488].start 4051.98846875
transcript.pyannote[488].end 4052.02221875
transcript.pyannote[489].speaker SPEAKER_18
transcript.pyannote[489].start 4057.15221875
transcript.pyannote[489].end 4078.14471875
transcript.pyannote[490].speaker SPEAKER_39
transcript.pyannote[490].start 4068.17159375
transcript.pyannote[490].end 4068.42471875
transcript.pyannote[491].speaker SPEAKER_00
transcript.pyannote[491].start 4068.42471875
transcript.pyannote[491].end 4068.44159375
transcript.pyannote[492].speaker SPEAKER_18
transcript.pyannote[492].start 4078.33034375
transcript.pyannote[492].end 4085.04659375
transcript.pyannote[493].speaker SPEAKER_18
transcript.pyannote[493].start 4085.41784375
transcript.pyannote[493].end 4089.38346875
transcript.pyannote[494].speaker SPEAKER_24
transcript.pyannote[494].start 4089.23159375
transcript.pyannote[494].end 4090.32846875
transcript.pyannote[495].speaker SPEAKER_18
transcript.pyannote[495].start 4090.32846875
transcript.pyannote[495].end 4091.61096875
transcript.pyannote[496].speaker SPEAKER_18
transcript.pyannote[496].start 4092.30284375
transcript.pyannote[496].end 4093.43346875
transcript.pyannote[497].speaker SPEAKER_18
transcript.pyannote[497].start 4094.15909375
transcript.pyannote[497].end 4096.47096875
transcript.pyannote[498].speaker SPEAKER_18
transcript.pyannote[498].start 4098.12471875
transcript.pyannote[498].end 4100.31846875
transcript.pyannote[499].speaker SPEAKER_15
transcript.pyannote[499].start 4098.25971875
transcript.pyannote[499].end 4104.99284375
transcript.pyannote[500].speaker SPEAKER_18
transcript.pyannote[500].start 4102.10721875
transcript.pyannote[500].end 4102.96784375
transcript.pyannote[501].speaker SPEAKER_06
transcript.pyannote[501].start 4102.96784375
transcript.pyannote[501].end 4105.80284375
transcript.pyannote[502].speaker SPEAKER_24
transcript.pyannote[502].start 4104.99284375
transcript.pyannote[502].end 4105.65096875
transcript.pyannote[503].speaker SPEAKER_15
transcript.pyannote[503].start 4105.65096875
transcript.pyannote[503].end 4105.76909375
transcript.pyannote[504].speaker SPEAKER_24
transcript.pyannote[504].start 4105.80284375
transcript.pyannote[504].end 4105.83659375
transcript.pyannote[505].speaker SPEAKER_18
transcript.pyannote[505].start 4105.83659375
transcript.pyannote[505].end 4105.85346875
transcript.pyannote[506].speaker SPEAKER_24
transcript.pyannote[506].start 4106.14034375
transcript.pyannote[506].end 4107.82784375
transcript.pyannote[507].speaker SPEAKER_06
transcript.pyannote[507].start 4107.82784375
transcript.pyannote[507].end 4127.43659375
transcript.pyannote[508].speaker SPEAKER_24
transcript.pyannote[508].start 4107.86159375
transcript.pyannote[508].end 4107.87846875
transcript.pyannote[509].speaker SPEAKER_15
transcript.pyannote[509].start 4107.87846875
transcript.pyannote[509].end 4107.96284375
transcript.pyannote[510].speaker SPEAKER_24
transcript.pyannote[510].start 4107.96284375
transcript.pyannote[510].end 4108.11471875
transcript.pyannote[511].speaker SPEAKER_06
transcript.pyannote[511].start 4128.31409375
transcript.pyannote[511].end 4185.80721875
transcript.pyannote[512].speaker SPEAKER_24
transcript.pyannote[512].start 4147.06221875
transcript.pyannote[512].end 4147.55159375
transcript.pyannote[513].speaker SPEAKER_39
transcript.pyannote[513].start 4165.08471875
transcript.pyannote[513].end 4165.33784375
transcript.pyannote[514].speaker SPEAKER_39
transcript.pyannote[514].start 4170.04596875
transcript.pyannote[514].end 4170.55221875
transcript.pyannote[515].speaker SPEAKER_24
transcript.pyannote[515].start 4185.80721875
transcript.pyannote[515].end 4186.36409375
transcript.pyannote[516].speaker SPEAKER_05
transcript.pyannote[516].start 4186.75221875
transcript.pyannote[516].end 4196.92784375
transcript.pyannote[517].speaker SPEAKER_05
transcript.pyannote[517].start 4197.01221875
transcript.pyannote[517].end 4201.60221875
transcript.pyannote[518].speaker SPEAKER_05
transcript.pyannote[518].start 4201.97346875
transcript.pyannote[518].end 4222.08846875
transcript.pyannote[519].speaker SPEAKER_18
transcript.pyannote[519].start 4222.57784375
transcript.pyannote[519].end 4226.86409375
transcript.pyannote[520].speaker SPEAKER_24
transcript.pyannote[520].start 4226.49284375
transcript.pyannote[520].end 4228.45034375
transcript.pyannote[521].speaker SPEAKER_18
transcript.pyannote[521].start 4228.45034375
transcript.pyannote[521].end 4228.97346875
transcript.pyannote[522].speaker SPEAKER_24
transcript.pyannote[522].start 4228.46721875
transcript.pyannote[522].end 4228.51784375
transcript.pyannote[523].speaker SPEAKER_24
transcript.pyannote[523].start 4228.55159375
transcript.pyannote[523].end 4228.78784375
transcript.pyannote[524].speaker SPEAKER_11
transcript.pyannote[524].start 4228.97346875
transcript.pyannote[524].end 4249.03784375
transcript.pyannote[525].speaker SPEAKER_14
transcript.pyannote[525].start 4249.03784375
transcript.pyannote[525].end 4286.97284375
transcript.pyannote[526].speaker SPEAKER_34
transcript.pyannote[526].start 4260.17534375
transcript.pyannote[526].end 4260.46221875
transcript.pyannote[527].speaker SPEAKER_38
transcript.pyannote[527].start 4280.66159375
transcript.pyannote[527].end 4280.89784375
transcript.pyannote[528].speaker SPEAKER_38
transcript.pyannote[528].start 4280.91471875
transcript.pyannote[528].end 4281.42096875
transcript.pyannote[529].speaker SPEAKER_11
transcript.pyannote[529].start 4286.97284375
transcript.pyannote[529].end 4295.96721875
transcript.pyannote[530].speaker SPEAKER_14
transcript.pyannote[530].start 4295.96721875
transcript.pyannote[530].end 4298.44784375
transcript.pyannote[531].speaker SPEAKER_34
transcript.pyannote[531].start 4298.80221875
transcript.pyannote[531].end 4299.96659375
transcript.pyannote[532].speaker SPEAKER_38
transcript.pyannote[532].start 4299.96659375
transcript.pyannote[532].end 4300.23659375
transcript.pyannote[533].speaker SPEAKER_14
transcript.pyannote[533].start 4300.23659375
transcript.pyannote[533].end 4300.32096875
transcript.pyannote[534].speaker SPEAKER_38
transcript.pyannote[534].start 4300.32096875
transcript.pyannote[534].end 4300.52346875
transcript.pyannote[535].speaker SPEAKER_14
transcript.pyannote[535].start 4300.52346875
transcript.pyannote[535].end 4301.43471875
transcript.pyannote[536].speaker SPEAKER_18
transcript.pyannote[536].start 4301.43471875
transcript.pyannote[536].end 4306.07534375
transcript.pyannote[537].speaker SPEAKER_38
transcript.pyannote[537].start 4302.19409375
transcript.pyannote[537].end 4303.03784375
transcript.pyannote[538].speaker SPEAKER_24
transcript.pyannote[538].start 4303.03784375
transcript.pyannote[538].end 4305.02909375
transcript.pyannote[539].speaker SPEAKER_17
transcript.pyannote[539].start 4305.02909375
transcript.pyannote[539].end 4305.04596875
transcript.pyannote[540].speaker SPEAKER_17
transcript.pyannote[540].start 4305.90659375
transcript.pyannote[540].end 4305.97409375
transcript.pyannote[541].speaker SPEAKER_24
transcript.pyannote[541].start 4305.97409375
transcript.pyannote[541].end 4308.47159375
transcript.pyannote[542].speaker SPEAKER_17
transcript.pyannote[542].start 4306.07534375
transcript.pyannote[542].end 4307.40846875
transcript.pyannote[543].speaker SPEAKER_09
transcript.pyannote[543].start 4308.47159375
transcript.pyannote[543].end 4308.52221875
transcript.pyannote[544].speaker SPEAKER_17
transcript.pyannote[544].start 4308.47159375
transcript.pyannote[544].end 4313.83784375
transcript.pyannote[545].speaker SPEAKER_09
transcript.pyannote[545].start 4312.89284375
transcript.pyannote[545].end 4315.99784375
transcript.pyannote[546].speaker SPEAKER_17
transcript.pyannote[546].start 4315.82909375
transcript.pyannote[546].end 4315.96409375
transcript.pyannote[547].speaker SPEAKER_18
transcript.pyannote[547].start 4315.96409375
transcript.pyannote[547].end 4316.26784375
transcript.pyannote[548].speaker SPEAKER_18
transcript.pyannote[548].start 4316.99346875
transcript.pyannote[548].end 4324.73909375
transcript.pyannote[549].speaker SPEAKER_18
transcript.pyannote[549].start 4325.04284375
transcript.pyannote[549].end 4331.43846875
transcript.pyannote[550].speaker SPEAKER_18
transcript.pyannote[550].start 4331.65784375
transcript.pyannote[550].end 4343.53784375
transcript.pyannote[551].speaker SPEAKER_18
transcript.pyannote[551].start 4343.92596875
transcript.pyannote[551].end 4348.83659375
transcript.pyannote[552].speaker SPEAKER_24
transcript.pyannote[552].start 4348.83659375
transcript.pyannote[552].end 4349.17409375
transcript.pyannote[553].speaker SPEAKER_18
transcript.pyannote[553].start 4349.42721875
transcript.pyannote[553].end 4349.76471875
transcript.pyannote[554].speaker SPEAKER_18
transcript.pyannote[554].start 4350.38909375
transcript.pyannote[554].end 4353.64596875
transcript.pyannote[555].speaker SPEAKER_19
transcript.pyannote[555].start 4353.88221875
transcript.pyannote[555].end 4366.33596875
transcript.pyannote[556].speaker SPEAKER_18
transcript.pyannote[556].start 4358.59034375
transcript.pyannote[556].end 4359.95721875
transcript.pyannote[557].speaker SPEAKER_17
transcript.pyannote[557].start 4359.95721875
transcript.pyannote[557].end 4360.02471875
transcript.pyannote[558].speaker SPEAKER_18
transcript.pyannote[558].start 4360.02471875
transcript.pyannote[558].end 4360.09221875
transcript.pyannote[559].speaker SPEAKER_18
transcript.pyannote[559].start 4360.21034375
transcript.pyannote[559].end 4361.99909375
transcript.pyannote[560].speaker SPEAKER_18
transcript.pyannote[560].start 4365.12096875
transcript.pyannote[560].end 4368.19221875
transcript.pyannote[561].speaker SPEAKER_18
transcript.pyannote[561].start 4369.00221875
transcript.pyannote[561].end 4383.46409375
transcript.pyannote[562].speaker SPEAKER_24
transcript.pyannote[562].start 4373.71034375
transcript.pyannote[562].end 4373.74409375
transcript.pyannote[563].speaker SPEAKER_06
transcript.pyannote[563].start 4373.74409375
transcript.pyannote[563].end 4373.92971875
transcript.pyannote[564].speaker SPEAKER_24
transcript.pyannote[564].start 4375.19534375
transcript.pyannote[564].end 4376.20784375
transcript.pyannote[565].speaker SPEAKER_24
transcript.pyannote[565].start 4379.58284375
transcript.pyannote[565].end 4379.92034375
transcript.pyannote[566].speaker SPEAKER_18
transcript.pyannote[566].start 4384.10534375
transcript.pyannote[566].end 4395.68159375
transcript.pyannote[567].speaker SPEAKER_24
transcript.pyannote[567].start 4391.05784375
transcript.pyannote[567].end 4391.69909375
transcript.pyannote[568].speaker SPEAKER_15
transcript.pyannote[568].start 4391.69909375
transcript.pyannote[568].end 4402.58346875
transcript.pyannote[569].speaker SPEAKER_41
transcript.pyannote[569].start 4399.25909375
transcript.pyannote[569].end 4400.05221875
transcript.pyannote[570].speaker SPEAKER_41
transcript.pyannote[570].start 4400.50784375
transcript.pyannote[570].end 4407.46034375
transcript.pyannote[571].speaker SPEAKER_18
transcript.pyannote[571].start 4406.38034375
transcript.pyannote[571].end 4406.41409375
transcript.pyannote[572].speaker SPEAKER_18
transcript.pyannote[572].start 4406.78534375
transcript.pyannote[572].end 4407.37596875
transcript.pyannote[573].speaker SPEAKER_18
transcript.pyannote[573].start 4407.39284375
transcript.pyannote[573].end 4407.42659375
transcript.pyannote[574].speaker SPEAKER_18
transcript.pyannote[574].start 4407.46034375
transcript.pyannote[574].end 4407.47721875
transcript.pyannote[575].speaker SPEAKER_41
transcript.pyannote[575].start 4407.47721875
transcript.pyannote[575].end 4407.54471875
transcript.pyannote[576].speaker SPEAKER_18
transcript.pyannote[576].start 4407.54471875
transcript.pyannote[576].end 4407.76409375
transcript.pyannote[577].speaker SPEAKER_41
transcript.pyannote[577].start 4407.76409375
transcript.pyannote[577].end 4408.03409375
transcript.pyannote[578].speaker SPEAKER_18
transcript.pyannote[578].start 4408.03409375
transcript.pyannote[578].end 4409.55284375
transcript.pyannote[579].speaker SPEAKER_41
transcript.pyannote[579].start 4409.09721875
transcript.pyannote[579].end 4409.14784375
transcript.pyannote[580].speaker SPEAKER_41
transcript.pyannote[580].start 4409.16471875
transcript.pyannote[580].end 4409.45159375
transcript.pyannote[581].speaker SPEAKER_24
transcript.pyannote[581].start 4409.45159375
transcript.pyannote[581].end 4409.65409375
transcript.pyannote[582].speaker SPEAKER_41
transcript.pyannote[582].start 4409.55284375
transcript.pyannote[582].end 4409.85659375
transcript.pyannote[583].speaker SPEAKER_18
transcript.pyannote[583].start 4409.65409375
transcript.pyannote[583].end 4411.93221875
transcript.pyannote[584].speaker SPEAKER_18
transcript.pyannote[584].start 4412.32034375
transcript.pyannote[584].end 4437.71721875
transcript.pyannote[585].speaker SPEAKER_18
transcript.pyannote[585].start 4437.95346875
transcript.pyannote[585].end 4441.02471875
transcript.pyannote[586].speaker SPEAKER_18
transcript.pyannote[586].start 4441.39596875
transcript.pyannote[586].end 4442.96534375
transcript.pyannote[587].speaker SPEAKER_18
transcript.pyannote[587].start 4443.15096875
transcript.pyannote[587].end 4444.24784375
transcript.pyannote[588].speaker SPEAKER_18
transcript.pyannote[588].start 4444.99034375
transcript.pyannote[588].end 4447.82534375
transcript.pyannote[589].speaker SPEAKER_18
transcript.pyannote[589].start 4447.84221875
transcript.pyannote[589].end 4447.89284375
transcript.pyannote[590].speaker SPEAKER_24
transcript.pyannote[590].start 4447.89284375
transcript.pyannote[590].end 4449.44534375
transcript.pyannote[591].speaker SPEAKER_18
transcript.pyannote[591].start 4449.17534375
transcript.pyannote[591].end 4449.58034375
transcript.pyannote[592].speaker SPEAKER_18
transcript.pyannote[592].start 4450.01909375
transcript.pyannote[592].end 4451.63909375
transcript.pyannote[593].speaker SPEAKER_18
transcript.pyannote[593].start 4452.39846875
transcript.pyannote[593].end 4453.64721875
transcript.pyannote[594].speaker SPEAKER_18
transcript.pyannote[594].start 4455.11534375
transcript.pyannote[594].end 4456.66784375
transcript.pyannote[595].speaker SPEAKER_18
transcript.pyannote[595].start 4457.08971875
transcript.pyannote[595].end 4458.03471875
transcript.pyannote[596].speaker SPEAKER_18
transcript.pyannote[596].start 4458.67596875
transcript.pyannote[596].end 4459.41846875
transcript.pyannote[597].speaker SPEAKER_18
transcript.pyannote[597].start 4459.46909375
transcript.pyannote[597].end 4460.98784375
transcript.pyannote[598].speaker SPEAKER_15
transcript.pyannote[598].start 4460.98784375
transcript.pyannote[598].end 4461.78096875
transcript.pyannote[599].speaker SPEAKER_18
transcript.pyannote[599].start 4461.78096875
transcript.pyannote[599].end 4462.87784375
transcript.pyannote[600].speaker SPEAKER_15
transcript.pyannote[600].start 4461.81471875
transcript.pyannote[600].end 4462.86096875
transcript.pyannote[601].speaker SPEAKER_15
transcript.pyannote[601].start 4462.87784375
transcript.pyannote[601].end 4467.19784375
transcript.pyannote[602].speaker SPEAKER_18
transcript.pyannote[602].start 4463.02971875
transcript.pyannote[602].end 4464.37971875
transcript.pyannote[603].speaker SPEAKER_17
transcript.pyannote[603].start 4464.37971875
transcript.pyannote[603].end 4464.43034375
transcript.pyannote[604].speaker SPEAKER_24
transcript.pyannote[604].start 4466.20221875
transcript.pyannote[604].end 4466.23596875
transcript.pyannote[605].speaker SPEAKER_17
transcript.pyannote[605].start 4466.23596875
transcript.pyannote[605].end 4467.21471875
transcript.pyannote[606].speaker SPEAKER_24
transcript.pyannote[606].start 4467.19784375
transcript.pyannote[606].end 4467.26534375
transcript.pyannote[607].speaker SPEAKER_15
transcript.pyannote[607].start 4467.26534375
transcript.pyannote[607].end 4467.65346875
transcript.pyannote[608].speaker SPEAKER_24
transcript.pyannote[608].start 4467.65346875
transcript.pyannote[608].end 4468.41284375
transcript.pyannote[609].speaker SPEAKER_15
transcript.pyannote[609].start 4468.41284375
transcript.pyannote[609].end 4468.90221875
transcript.pyannote[610].speaker SPEAKER_17
transcript.pyannote[610].start 4469.79659375
transcript.pyannote[610].end 4503.07409375
transcript.pyannote[611].speaker SPEAKER_16
transcript.pyannote[611].start 4502.51721875
transcript.pyannote[611].end 4502.61846875
transcript.pyannote[612].speaker SPEAKER_24
transcript.pyannote[612].start 4502.61846875
transcript.pyannote[612].end 4504.98096875
transcript.pyannote[613].speaker SPEAKER_17
transcript.pyannote[613].start 4504.94721875
transcript.pyannote[613].end 4506.97221875
transcript.pyannote[614].speaker SPEAKER_16
transcript.pyannote[614].start 4504.98096875
transcript.pyannote[614].end 4505.03159375
transcript.pyannote[615].speaker SPEAKER_15
transcript.pyannote[615].start 4505.03159375
transcript.pyannote[615].end 4506.02721875
transcript.pyannote[616].speaker SPEAKER_18
transcript.pyannote[616].start 4506.02721875
transcript.pyannote[616].end 4507.44471875
transcript.pyannote[617].speaker SPEAKER_15
transcript.pyannote[617].start 4506.97221875
transcript.pyannote[617].end 4508.86221875
transcript.pyannote[618].speaker SPEAKER_15
transcript.pyannote[618].start 4510.66784375
transcript.pyannote[618].end 4515.96659375
transcript.pyannote[619].speaker SPEAKER_18
transcript.pyannote[619].start 4514.29596875
transcript.pyannote[619].end 4519.13909375
transcript.pyannote[620].speaker SPEAKER_41
transcript.pyannote[620].start 4515.96659375
transcript.pyannote[620].end 4523.98221875
transcript.pyannote[621].speaker SPEAKER_24
transcript.pyannote[621].start 4521.95721875
transcript.pyannote[621].end 4523.29034375
transcript.pyannote[622].speaker SPEAKER_41
transcript.pyannote[622].start 4524.18471875
transcript.pyannote[622].end 4525.55159375
transcript.pyannote[623].speaker SPEAKER_41
transcript.pyannote[623].start 4525.93971875
transcript.pyannote[623].end 4525.99034375
transcript.pyannote[624].speaker SPEAKER_18
transcript.pyannote[624].start 4525.99034375
transcript.pyannote[624].end 4527.01971875
transcript.pyannote[625].speaker SPEAKER_19
transcript.pyannote[625].start 4527.01971875
transcript.pyannote[625].end 4527.15471875
transcript.pyannote[626].speaker SPEAKER_18
transcript.pyannote[626].start 4527.15471875
transcript.pyannote[626].end 4527.17159375
transcript.pyannote[627].speaker SPEAKER_19
transcript.pyannote[627].start 4527.17159375
transcript.pyannote[627].end 4527.28971875
transcript.pyannote[628].speaker SPEAKER_19
transcript.pyannote[628].start 4528.08284375
transcript.pyannote[628].end 4560.17909375
transcript.pyannote[629].speaker SPEAKER_04
transcript.pyannote[629].start 4559.82471875
transcript.pyannote[629].end 4559.90909375
transcript.pyannote[630].speaker SPEAKER_24
transcript.pyannote[630].start 4559.90909375
transcript.pyannote[630].end 4560.02721875
transcript.pyannote[631].speaker SPEAKER_15
transcript.pyannote[631].start 4560.02721875
transcript.pyannote[631].end 4560.06096875
transcript.pyannote[632].speaker SPEAKER_24
transcript.pyannote[632].start 4560.17909375
transcript.pyannote[632].end 4561.03971875
transcript.pyannote[633].speaker SPEAKER_18
transcript.pyannote[633].start 4561.03971875
transcript.pyannote[633].end 4561.07346875
transcript.pyannote[634].speaker SPEAKER_24
transcript.pyannote[634].start 4561.07346875
transcript.pyannote[634].end 4561.15784375
transcript.pyannote[635].speaker SPEAKER_04
transcript.pyannote[635].start 4561.96784375
transcript.pyannote[635].end 4563.04784375
transcript.pyannote[636].speaker SPEAKER_10
transcript.pyannote[636].start 4562.15346875
transcript.pyannote[636].end 4562.30534375
transcript.pyannote[637].speaker SPEAKER_19
transcript.pyannote[637].start 4562.30534375
transcript.pyannote[637].end 4562.55846875
transcript.pyannote[638].speaker SPEAKER_10
transcript.pyannote[638].start 4562.55846875
transcript.pyannote[638].end 4562.60909375
transcript.pyannote[639].speaker SPEAKER_19
transcript.pyannote[639].start 4562.60909375
transcript.pyannote[639].end 4562.96346875
transcript.pyannote[640].speaker SPEAKER_10
transcript.pyannote[640].start 4562.96346875
transcript.pyannote[640].end 4562.98034375
transcript.pyannote[641].speaker SPEAKER_15
transcript.pyannote[641].start 4563.23346875
transcript.pyannote[641].end 4563.25034375
transcript.pyannote[642].speaker SPEAKER_24
transcript.pyannote[642].start 4563.25034375
transcript.pyannote[642].end 4563.85784375
transcript.pyannote[643].speaker SPEAKER_15
transcript.pyannote[643].start 4563.85784375
transcript.pyannote[643].end 4563.90846875
transcript.pyannote[644].speaker SPEAKER_04
transcript.pyannote[644].start 4564.76909375
transcript.pyannote[644].end 4566.06846875
transcript.pyannote[645].speaker SPEAKER_10
transcript.pyannote[645].start 4565.07284375
transcript.pyannote[645].end 4571.97471875
transcript.pyannote[646].speaker SPEAKER_04
transcript.pyannote[646].start 4567.89096875
transcript.pyannote[646].end 4569.15659375
transcript.pyannote[647].speaker SPEAKER_09
transcript.pyannote[647].start 4569.15659375
transcript.pyannote[647].end 4569.24096875
transcript.pyannote[648].speaker SPEAKER_04
transcript.pyannote[648].start 4569.24096875
transcript.pyannote[648].end 4569.29159375
transcript.pyannote[649].speaker SPEAKER_09
transcript.pyannote[649].start 4569.29159375
transcript.pyannote[649].end 4571.53596875
transcript.pyannote[650].speaker SPEAKER_17
transcript.pyannote[650].start 4571.53596875
transcript.pyannote[650].end 4574.33721875
transcript.pyannote[651].speaker SPEAKER_10
transcript.pyannote[651].start 4573.02096875
transcript.pyannote[651].end 4573.03784375
transcript.pyannote[652].speaker SPEAKER_18
transcript.pyannote[652].start 4573.03784375
transcript.pyannote[652].end 4573.07159375
transcript.pyannote[653].speaker SPEAKER_09
transcript.pyannote[653].start 4573.07159375
transcript.pyannote[653].end 4574.13471875
transcript.pyannote[654].speaker SPEAKER_18
transcript.pyannote[654].start 4574.33721875
transcript.pyannote[654].end 4574.45534375
transcript.pyannote[655].speaker SPEAKER_17
transcript.pyannote[655].start 4574.45534375
transcript.pyannote[655].end 4574.48909375
transcript.pyannote[656].speaker SPEAKER_18
transcript.pyannote[656].start 4574.48909375
transcript.pyannote[656].end 4579.19721875
transcript.pyannote[657].speaker SPEAKER_17
transcript.pyannote[657].start 4578.37034375
transcript.pyannote[657].end 4578.50534375
transcript.pyannote[658].speaker SPEAKER_24
transcript.pyannote[658].start 4578.50534375
transcript.pyannote[658].end 4579.92284375
transcript.pyannote[659].speaker SPEAKER_18
transcript.pyannote[659].start 4579.46721875
transcript.pyannote[659].end 4596.29159375
transcript.pyannote[660].speaker SPEAKER_24
transcript.pyannote[660].start 4589.13659375
transcript.pyannote[660].end 4589.35596875
transcript.pyannote[661].speaker SPEAKER_18
transcript.pyannote[661].start 4597.10159375
transcript.pyannote[661].end 4601.11784375
transcript.pyannote[662].speaker SPEAKER_18
transcript.pyannote[662].start 4601.69159375
transcript.pyannote[662].end 4603.26096875
transcript.pyannote[663].speaker SPEAKER_18
transcript.pyannote[663].start 4604.56034375
transcript.pyannote[663].end 4605.40409375
transcript.pyannote[664].speaker SPEAKER_18
transcript.pyannote[664].start 4605.80909375
transcript.pyannote[664].end 4606.14659375
transcript.pyannote[665].speaker SPEAKER_18
transcript.pyannote[665].start 4608.99846875
transcript.pyannote[665].end 4609.42034375
transcript.pyannote[666].speaker SPEAKER_18
transcript.pyannote[666].start 4610.38221875
transcript.pyannote[666].end 4616.47409375
transcript.pyannote[667].speaker SPEAKER_18
transcript.pyannote[667].start 4617.09846875
transcript.pyannote[667].end 4618.17846875
transcript.pyannote[668].speaker SPEAKER_18
transcript.pyannote[668].start 4619.22471875
transcript.pyannote[668].end 4619.47784375
transcript.pyannote[669].speaker SPEAKER_18
transcript.pyannote[669].start 4623.74721875
transcript.pyannote[669].end 4624.74284375
transcript.pyannote[670].speaker SPEAKER_41
transcript.pyannote[670].start 4624.45596875
transcript.pyannote[670].end 4625.06346875
transcript.pyannote[671].speaker SPEAKER_18
transcript.pyannote[671].start 4625.77221875
transcript.pyannote[671].end 4626.24471875
transcript.pyannote[672].speaker SPEAKER_41
transcript.pyannote[672].start 4626.24471875
transcript.pyannote[672].end 4626.26159375
transcript.pyannote[673].speaker SPEAKER_18
transcript.pyannote[673].start 4626.26159375
transcript.pyannote[673].end 4626.27846875
transcript.pyannote[674].speaker SPEAKER_41
transcript.pyannote[674].start 4626.27846875
transcript.pyannote[674].end 4627.45971875
transcript.pyannote[675].speaker SPEAKER_18
transcript.pyannote[675].start 4627.67909375
transcript.pyannote[675].end 4630.09221875
transcript.pyannote[676].speaker SPEAKER_18
transcript.pyannote[676].start 4632.77534375
transcript.pyannote[676].end 4635.96471875
transcript.pyannote[677].speaker SPEAKER_18
transcript.pyannote[677].start 4636.28534375
transcript.pyannote[677].end 4637.65221875
transcript.pyannote[678].speaker SPEAKER_18
transcript.pyannote[678].start 4638.07409375
transcript.pyannote[678].end 4660.16346875
transcript.pyannote[679].speaker SPEAKER_18
transcript.pyannote[679].start 4660.80471875
transcript.pyannote[679].end 4665.66471875
transcript.pyannote[680].speaker SPEAKER_17
transcript.pyannote[680].start 4662.64409375
transcript.pyannote[680].end 4662.76221875
transcript.pyannote[681].speaker SPEAKER_24
transcript.pyannote[681].start 4662.76221875
transcript.pyannote[681].end 4662.79596875
transcript.pyannote[682].speaker SPEAKER_09
transcript.pyannote[682].start 4662.79596875
transcript.pyannote[682].end 4662.96471875
transcript.pyannote[683].speaker SPEAKER_17
transcript.pyannote[683].start 4662.96471875
transcript.pyannote[683].end 4663.04909375
transcript.pyannote[684].speaker SPEAKER_18
transcript.pyannote[684].start 4666.64346875
transcript.pyannote[684].end 4668.39846875
transcript.pyannote[685].speaker SPEAKER_17
transcript.pyannote[685].start 4667.30159375
transcript.pyannote[685].end 4668.36471875
transcript.pyannote[686].speaker SPEAKER_17
transcript.pyannote[686].start 4668.39846875
transcript.pyannote[686].end 4668.43221875
transcript.pyannote[687].speaker SPEAKER_17
transcript.pyannote[687].start 4668.88784375
transcript.pyannote[687].end 4681.83096875
transcript.pyannote[688].speaker SPEAKER_17
transcript.pyannote[688].start 4682.10096875
transcript.pyannote[688].end 4702.68846875
transcript.pyannote[689].speaker SPEAKER_24
transcript.pyannote[689].start 4702.97534375
transcript.pyannote[689].end 4702.99221875
transcript.pyannote[690].speaker SPEAKER_13
transcript.pyannote[690].start 4702.99221875
transcript.pyannote[690].end 4703.00909375
transcript.pyannote[691].speaker SPEAKER_24
transcript.pyannote[691].start 4703.00909375
transcript.pyannote[691].end 4703.02596875
transcript.pyannote[692].speaker SPEAKER_13
transcript.pyannote[692].start 4703.02596875
transcript.pyannote[692].end 4703.63346875
transcript.pyannote[693].speaker SPEAKER_17
transcript.pyannote[693].start 4703.63346875
transcript.pyannote[693].end 4704.64596875
transcript.pyannote[694].speaker SPEAKER_17
transcript.pyannote[694].start 4708.32471875
transcript.pyannote[694].end 4718.88846875
transcript.pyannote[695].speaker SPEAKER_17
transcript.pyannote[695].start 4719.42846875
transcript.pyannote[695].end 4727.41034375
transcript.pyannote[696].speaker SPEAKER_17
transcript.pyannote[696].start 4727.74784375
transcript.pyannote[696].end 4732.23659375
transcript.pyannote[697].speaker SPEAKER_17
transcript.pyannote[697].start 4732.89471875
transcript.pyannote[697].end 4754.29221875
transcript.pyannote[698].speaker SPEAKER_17
transcript.pyannote[698].start 4755.57471875
transcript.pyannote[698].end 4757.59971875
transcript.pyannote[699].speaker SPEAKER_20
transcript.pyannote[699].start 4757.59971875
transcript.pyannote[699].end 4757.61659375
transcript.pyannote[700].speaker SPEAKER_20
transcript.pyannote[700].start 4761.85221875
transcript.pyannote[700].end 4797.27284375
transcript.pyannote[701].speaker SPEAKER_20
transcript.pyannote[701].start 4797.98159375
transcript.pyannote[701].end 4802.84159375
transcript.pyannote[702].speaker SPEAKER_20
transcript.pyannote[702].start 4803.70221875
transcript.pyannote[702].end 4805.57534375
transcript.pyannote[703].speaker SPEAKER_20
transcript.pyannote[703].start 4805.86221875
transcript.pyannote[703].end 4831.59659375
transcript.pyannote[704].speaker SPEAKER_20
transcript.pyannote[704].start 4831.91721875
transcript.pyannote[704].end 4872.09659375
transcript.pyannote[705].speaker SPEAKER_20
transcript.pyannote[705].start 4872.43409375
transcript.pyannote[705].end 4872.87284375
transcript.pyannote[706].speaker SPEAKER_18
transcript.pyannote[706].start 4873.93596875
transcript.pyannote[706].end 4876.04534375
transcript.pyannote[707].speaker SPEAKER_32
transcript.pyannote[707].start 4878.77909375
transcript.pyannote[707].end 4890.79409375
transcript.pyannote[708].speaker SPEAKER_24
transcript.pyannote[708].start 4890.79409375
transcript.pyannote[708].end 4891.06409375
transcript.pyannote[709].speaker SPEAKER_32
transcript.pyannote[709].start 4891.06409375
transcript.pyannote[709].end 4960.42034375
transcript.pyannote[710].speaker SPEAKER_24
transcript.pyannote[710].start 4895.73846875
transcript.pyannote[710].end 4896.31221875
transcript.pyannote[711].speaker SPEAKER_24
transcript.pyannote[711].start 4952.15159375
transcript.pyannote[711].end 4952.16846875
transcript.pyannote[712].speaker SPEAKER_18
transcript.pyannote[712].start 4952.16846875
transcript.pyannote[712].end 4952.18534375
transcript.pyannote[713].speaker SPEAKER_18
transcript.pyannote[713].start 4954.04159375
transcript.pyannote[713].end 4954.32846875
transcript.pyannote[714].speaker SPEAKER_26
transcript.pyannote[714].start 4960.42034375
transcript.pyannote[714].end 4960.48784375
transcript.pyannote[715].speaker SPEAKER_18
transcript.pyannote[715].start 4961.19659375
transcript.pyannote[715].end 4962.86721875
transcript.pyannote[716].speaker SPEAKER_32
transcript.pyannote[716].start 4962.98534375
transcript.pyannote[716].end 4963.00221875
transcript.pyannote[717].speaker SPEAKER_26
transcript.pyannote[717].start 4963.00221875
transcript.pyannote[717].end 4967.49096875
transcript.pyannote[718].speaker SPEAKER_15
transcript.pyannote[718].start 4967.76096875
transcript.pyannote[718].end 4968.67221875
transcript.pyannote[719].speaker SPEAKER_26
transcript.pyannote[719].start 4970.22471875
transcript.pyannote[719].end 5006.38784375
transcript.pyannote[720].speaker SPEAKER_00
transcript.pyannote[720].start 4987.40346875
transcript.pyannote[720].end 4987.72409375
transcript.pyannote[721].speaker SPEAKER_18
transcript.pyannote[721].start 5003.78909375
transcript.pyannote[721].end 5004.09284375
transcript.pyannote[722].speaker SPEAKER_26
transcript.pyannote[722].start 5006.55659375
transcript.pyannote[722].end 5006.62409375
transcript.pyannote[723].speaker SPEAKER_18
transcript.pyannote[723].start 5006.62409375
transcript.pyannote[723].end 5008.10909375
transcript.pyannote[724].speaker SPEAKER_15
transcript.pyannote[724].start 5007.06284375
transcript.pyannote[724].end 5007.09659375
transcript.pyannote[725].speaker SPEAKER_26
transcript.pyannote[725].start 5007.09659375
transcript.pyannote[725].end 5007.82221875
transcript.pyannote[726].speaker SPEAKER_26
transcript.pyannote[726].start 5007.92346875
transcript.pyannote[726].end 5008.02471875
transcript.pyannote[727].speaker SPEAKER_39
transcript.pyannote[727].start 5008.02471875
transcript.pyannote[727].end 5008.07534375
transcript.pyannote[728].speaker SPEAKER_39
transcript.pyannote[728].start 5008.10909375
transcript.pyannote[728].end 5008.39596875
transcript.pyannote[729].speaker SPEAKER_15
transcript.pyannote[729].start 5008.39596875
transcript.pyannote[729].end 5009.67846875
transcript.pyannote[730].speaker SPEAKER_39
transcript.pyannote[730].start 5008.61534375
transcript.pyannote[730].end 5008.64909375
transcript.pyannote[731].speaker SPEAKER_18
transcript.pyannote[731].start 5008.64909375
transcript.pyannote[731].end 5008.96971875
transcript.pyannote[732].speaker SPEAKER_39
transcript.pyannote[732].start 5008.96971875
transcript.pyannote[732].end 5009.77971875
transcript.pyannote[733].speaker SPEAKER_15
transcript.pyannote[733].start 5009.77971875
transcript.pyannote[733].end 5009.83034375
transcript.pyannote[734].speaker SPEAKER_15
transcript.pyannote[734].start 5009.88096875
transcript.pyannote[734].end 5013.94784375
transcript.pyannote[735].speaker SPEAKER_39
transcript.pyannote[735].start 5015.24721875
transcript.pyannote[735].end 5025.89534375
transcript.pyannote[736].speaker SPEAKER_15
transcript.pyannote[736].start 5016.59721875
transcript.pyannote[736].end 5017.39034375
transcript.pyannote[737].speaker SPEAKER_39
transcript.pyannote[737].start 5026.24971875
transcript.pyannote[737].end 5039.17596875
transcript.pyannote[738].speaker SPEAKER_24
transcript.pyannote[738].start 5039.12534375
transcript.pyannote[738].end 5039.15909375
transcript.pyannote[739].speaker SPEAKER_24
transcript.pyannote[739].start 5039.17596875
transcript.pyannote[739].end 5039.42909375
transcript.pyannote[740].speaker SPEAKER_39
transcript.pyannote[740].start 5039.31096875
transcript.pyannote[740].end 5042.09534375
transcript.pyannote[741].speaker SPEAKER_39
transcript.pyannote[741].start 5042.29784375
transcript.pyannote[741].end 5045.52096875
transcript.pyannote[742].speaker SPEAKER_39
transcript.pyannote[742].start 5045.95971875
transcript.pyannote[742].end 5046.39846875
transcript.pyannote[743].speaker SPEAKER_18
transcript.pyannote[743].start 5047.95096875
transcript.pyannote[743].end 5049.52034375
transcript.pyannote[744].speaker SPEAKER_39
transcript.pyannote[744].start 5049.52034375
transcript.pyannote[744].end 5049.55409375
transcript.pyannote[745].speaker SPEAKER_31
transcript.pyannote[745].start 5053.03034375
transcript.pyannote[745].end 5133.91221875
transcript.pyannote[746].speaker SPEAKER_00
transcript.pyannote[746].start 5059.45971875
transcript.pyannote[746].end 5059.74659375
transcript.pyannote[747].speaker SPEAKER_18
transcript.pyannote[747].start 5134.13159375
transcript.pyannote[747].end 5134.30034375
transcript.pyannote[748].speaker SPEAKER_18
transcript.pyannote[748].start 5134.36784375
transcript.pyannote[748].end 5140.10534375
transcript.pyannote[749].speaker SPEAKER_24
transcript.pyannote[749].start 5138.89034375
transcript.pyannote[749].end 5139.09284375
transcript.pyannote[750].speaker SPEAKER_15
transcript.pyannote[750].start 5139.09284375
transcript.pyannote[750].end 5139.46409375
transcript.pyannote[751].speaker SPEAKER_24
transcript.pyannote[751].start 5140.10534375
transcript.pyannote[751].end 5140.18971875
transcript.pyannote[752].speaker SPEAKER_18
transcript.pyannote[752].start 5140.18971875
transcript.pyannote[752].end 5141.52284375
transcript.pyannote[753].speaker SPEAKER_18
transcript.pyannote[753].start 5142.46784375
transcript.pyannote[753].end 5148.13784375
transcript.pyannote[754].speaker SPEAKER_18
transcript.pyannote[754].start 5148.77909375
transcript.pyannote[754].end 5151.25971875
transcript.pyannote[755].speaker SPEAKER_18
transcript.pyannote[755].start 5151.46221875
transcript.pyannote[755].end 5151.47909375
transcript.pyannote[756].speaker SPEAKER_15
transcript.pyannote[756].start 5151.47909375
transcript.pyannote[756].end 5151.85034375
transcript.pyannote[757].speaker SPEAKER_18
transcript.pyannote[757].start 5151.54659375
transcript.pyannote[757].end 5151.59721875
transcript.pyannote[758].speaker SPEAKER_18
transcript.pyannote[758].start 5151.81659375
transcript.pyannote[758].end 5154.90471875
transcript.pyannote[759].speaker SPEAKER_18
transcript.pyannote[759].start 5155.00596875
transcript.pyannote[759].end 5155.14096875
transcript.pyannote[760].speaker SPEAKER_15
transcript.pyannote[760].start 5155.14096875
transcript.pyannote[760].end 5155.17471875
transcript.pyannote[761].speaker SPEAKER_18
transcript.pyannote[761].start 5155.17471875
transcript.pyannote[761].end 5157.23346875
transcript.pyannote[762].speaker SPEAKER_24
transcript.pyannote[762].start 5155.19159375
transcript.pyannote[762].end 5155.22534375
transcript.pyannote[763].speaker SPEAKER_15
transcript.pyannote[763].start 5155.22534375
transcript.pyannote[763].end 5155.34346875
transcript.pyannote[764].speaker SPEAKER_18
transcript.pyannote[764].start 5157.89159375
transcript.pyannote[764].end 5163.59534375
transcript.pyannote[765].speaker SPEAKER_18
transcript.pyannote[765].start 5163.67971875
transcript.pyannote[765].end 5166.34596875
transcript.pyannote[766].speaker SPEAKER_24
transcript.pyannote[766].start 5166.24471875
transcript.pyannote[766].end 5166.86909375
transcript.pyannote[767].speaker SPEAKER_18
transcript.pyannote[767].start 5167.15596875
transcript.pyannote[767].end 5168.62409375
transcript.pyannote[768].speaker SPEAKER_18
transcript.pyannote[768].start 5169.28221875
transcript.pyannote[768].end 5169.97409375
transcript.pyannote[769].speaker SPEAKER_14
transcript.pyannote[769].start 5169.97409375
transcript.pyannote[769].end 5170.27784375
transcript.pyannote[770].speaker SPEAKER_14
transcript.pyannote[770].start 5170.96971875
transcript.pyannote[770].end 5176.77471875
transcript.pyannote[771].speaker SPEAKER_14
transcript.pyannote[771].start 5177.07846875
transcript.pyannote[771].end 5178.19221875
transcript.pyannote[772].speaker SPEAKER_18
transcript.pyannote[772].start 5178.19221875
transcript.pyannote[772].end 5178.22596875
transcript.pyannote[773].speaker SPEAKER_14
transcript.pyannote[773].start 5179.06971875
transcript.pyannote[773].end 5179.08659375
transcript.pyannote[774].speaker SPEAKER_18
transcript.pyannote[774].start 5179.08659375
transcript.pyannote[774].end 5180.50409375
transcript.pyannote[775].speaker SPEAKER_14
transcript.pyannote[775].start 5181.22971875
transcript.pyannote[775].end 5181.24659375
transcript.pyannote[776].speaker SPEAKER_18
transcript.pyannote[776].start 5181.24659375
transcript.pyannote[776].end 5185.70159375
transcript.pyannote[777].speaker SPEAKER_18
transcript.pyannote[777].start 5186.25846875
transcript.pyannote[777].end 5193.37971875
transcript.pyannote[778].speaker SPEAKER_15
transcript.pyannote[778].start 5188.01346875
transcript.pyannote[778].end 5188.58721875
transcript.pyannote[779].speaker SPEAKER_15
transcript.pyannote[779].start 5191.10159375
transcript.pyannote[779].end 5191.16909375
transcript.pyannote[780].speaker SPEAKER_15
transcript.pyannote[780].start 5191.20284375
transcript.pyannote[780].end 5192.04659375
transcript.pyannote[781].speaker SPEAKER_18
transcript.pyannote[781].start 5194.35846875
transcript.pyannote[781].end 5203.67346875
transcript.pyannote[782].speaker SPEAKER_18
transcript.pyannote[782].start 5203.85909375
transcript.pyannote[782].end 5205.47909375
transcript.pyannote[783].speaker SPEAKER_18
transcript.pyannote[783].start 5205.91784375
transcript.pyannote[783].end 5207.30159375
transcript.pyannote[784].speaker SPEAKER_18
transcript.pyannote[784].start 5207.79096875
transcript.pyannote[784].end 5209.17471875
transcript.pyannote[785].speaker SPEAKER_18
transcript.pyannote[785].start 5209.84971875
transcript.pyannote[785].end 5210.30534375
transcript.pyannote[786].speaker SPEAKER_18
transcript.pyannote[786].start 5210.92971875
transcript.pyannote[786].end 5221.05471875
transcript.pyannote[787].speaker SPEAKER_24
transcript.pyannote[787].start 5218.10159375
transcript.pyannote[787].end 5218.13534375
transcript.pyannote[788].speaker SPEAKER_24
transcript.pyannote[788].start 5218.70909375
transcript.pyannote[788].end 5219.19846875
transcript.pyannote[789].speaker SPEAKER_24
transcript.pyannote[789].start 5220.90284375
transcript.pyannote[789].end 5221.20659375
transcript.pyannote[790].speaker SPEAKER_18
transcript.pyannote[790].start 5221.20659375
transcript.pyannote[790].end 5226.18471875
transcript.pyannote[791].speaker SPEAKER_15
transcript.pyannote[791].start 5221.25721875
transcript.pyannote[791].end 5221.29096875
transcript.pyannote[792].speaker SPEAKER_24
transcript.pyannote[792].start 5221.51034375
transcript.pyannote[792].end 5221.91534375
transcript.pyannote[793].speaker SPEAKER_15
transcript.pyannote[793].start 5226.77534375
transcript.pyannote[793].end 5227.23096875
transcript.pyannote[794].speaker SPEAKER_18
transcript.pyannote[794].start 5227.06221875
transcript.pyannote[794].end 5227.78784375
transcript.pyannote[795].speaker SPEAKER_06
transcript.pyannote[795].start 5227.78784375
transcript.pyannote[795].end 5227.82159375
transcript.pyannote[796].speaker SPEAKER_18
transcript.pyannote[796].start 5228.54721875
transcript.pyannote[796].end 5228.58096875
transcript.pyannote[797].speaker SPEAKER_06
transcript.pyannote[797].start 5228.58096875
transcript.pyannote[797].end 5231.06159375
transcript.pyannote[798].speaker SPEAKER_06
transcript.pyannote[798].start 5231.63534375
transcript.pyannote[798].end 5235.90471875
transcript.pyannote[799].speaker SPEAKER_06
transcript.pyannote[799].start 5237.11971875
transcript.pyannote[799].end 5250.33284375
transcript.pyannote[800].speaker SPEAKER_06
transcript.pyannote[800].start 5250.80534375
transcript.pyannote[800].end 5260.84596875
transcript.pyannote[801].speaker SPEAKER_06
transcript.pyannote[801].start 5261.45346875
transcript.pyannote[801].end 5261.94284375
transcript.pyannote[802].speaker SPEAKER_06
transcript.pyannote[802].start 5262.39846875
transcript.pyannote[802].end 5282.02409375
transcript.pyannote[803].speaker SPEAKER_15
transcript.pyannote[803].start 5265.16596875
transcript.pyannote[803].end 5265.23346875
transcript.pyannote[804].speaker SPEAKER_24
transcript.pyannote[804].start 5265.23346875
transcript.pyannote[804].end 5265.33471875
transcript.pyannote[805].speaker SPEAKER_41
transcript.pyannote[805].start 5265.33471875
transcript.pyannote[805].end 5265.50346875
transcript.pyannote[806].speaker SPEAKER_24
transcript.pyannote[806].start 5265.50346875
transcript.pyannote[806].end 5265.60471875
transcript.pyannote[807].speaker SPEAKER_15
transcript.pyannote[807].start 5265.60471875
transcript.pyannote[807].end 5265.68909375
transcript.pyannote[808].speaker SPEAKER_15
transcript.pyannote[808].start 5267.49471875
transcript.pyannote[808].end 5267.51159375
transcript.pyannote[809].speaker SPEAKER_24
transcript.pyannote[809].start 5267.51159375
transcript.pyannote[809].end 5268.01784375
transcript.pyannote[810].speaker SPEAKER_24
transcript.pyannote[810].start 5269.36784375
transcript.pyannote[810].end 5269.75596875
transcript.pyannote[811].speaker SPEAKER_06
transcript.pyannote[811].start 5282.58096875
transcript.pyannote[811].end 5283.03659375
transcript.pyannote[812].speaker SPEAKER_06
transcript.pyannote[812].start 5283.57659375
transcript.pyannote[812].end 5346.16596875
transcript.pyannote[813].speaker SPEAKER_24
transcript.pyannote[813].start 5295.77721875
transcript.pyannote[813].end 5295.86159375
transcript.pyannote[814].speaker SPEAKER_00
transcript.pyannote[814].start 5295.89534375
transcript.pyannote[814].end 5295.92909375
transcript.pyannote[815].speaker SPEAKER_06
transcript.pyannote[815].start 5346.48659375
transcript.pyannote[815].end 5352.64596875
transcript.pyannote[816].speaker SPEAKER_06
transcript.pyannote[816].start 5353.32096875
transcript.pyannote[816].end 5354.97471875
transcript.pyannote[817].speaker SPEAKER_18
transcript.pyannote[817].start 5354.97471875
transcript.pyannote[817].end 5355.19409375
transcript.pyannote[818].speaker SPEAKER_06
transcript.pyannote[818].start 5355.19409375
transcript.pyannote[818].end 5355.21096875
transcript.pyannote[819].speaker SPEAKER_18
transcript.pyannote[819].start 5355.21096875
transcript.pyannote[819].end 5355.22784375
transcript.pyannote[820].speaker SPEAKER_41
transcript.pyannote[820].start 5355.70034375
transcript.pyannote[820].end 5458.62096875
transcript.pyannote[821].speaker SPEAKER_18
transcript.pyannote[821].start 5356.03784375
transcript.pyannote[821].end 5356.39221875
transcript.pyannote[822].speaker SPEAKER_18
transcript.pyannote[822].start 5357.91096875
transcript.pyannote[822].end 5357.96159375
transcript.pyannote[823].speaker SPEAKER_18
transcript.pyannote[823].start 5360.79659375
transcript.pyannote[823].end 5361.38721875
transcript.pyannote[824].speaker SPEAKER_15
transcript.pyannote[824].start 5361.38721875
transcript.pyannote[824].end 5361.75846875
transcript.pyannote[825].speaker SPEAKER_18
transcript.pyannote[825].start 5361.75846875
transcript.pyannote[825].end 5362.12971875
transcript.pyannote[826].speaker SPEAKER_00
transcript.pyannote[826].start 5365.60596875
transcript.pyannote[826].end 5366.11221875
transcript.pyannote[827].speaker SPEAKER_09
transcript.pyannote[827].start 5366.11221875
transcript.pyannote[827].end 5366.21346875
transcript.pyannote[828].speaker SPEAKER_00
transcript.pyannote[828].start 5366.21346875
transcript.pyannote[828].end 5366.23034375
transcript.pyannote[829].speaker SPEAKER_00
transcript.pyannote[829].start 5369.13284375
transcript.pyannote[829].end 5370.93846875
transcript.pyannote[830].speaker SPEAKER_15
transcript.pyannote[830].start 5370.93846875
transcript.pyannote[830].end 5370.97221875
transcript.pyannote[831].speaker SPEAKER_00
transcript.pyannote[831].start 5370.97221875
transcript.pyannote[831].end 5371.54596875
transcript.pyannote[832].speaker SPEAKER_00
transcript.pyannote[832].start 5375.30909375
transcript.pyannote[832].end 5375.46096875
transcript.pyannote[833].speaker SPEAKER_00
transcript.pyannote[833].start 5377.11471875
transcript.pyannote[833].end 5378.73471875
transcript.pyannote[834].speaker SPEAKER_00
transcript.pyannote[834].start 5395.67721875
transcript.pyannote[834].end 5395.77846875
transcript.pyannote[835].speaker SPEAKER_08
transcript.pyannote[835].start 5395.77846875
transcript.pyannote[835].end 5396.06534375
transcript.pyannote[836].speaker SPEAKER_00
transcript.pyannote[836].start 5396.11596875
transcript.pyannote[836].end 5396.18346875
transcript.pyannote[837].speaker SPEAKER_00
transcript.pyannote[837].start 5405.53221875
transcript.pyannote[837].end 5405.58284375
transcript.pyannote[838].speaker SPEAKER_24
transcript.pyannote[838].start 5405.58284375
transcript.pyannote[838].end 5405.73471875
transcript.pyannote[839].speaker SPEAKER_00
transcript.pyannote[839].start 5405.73471875
transcript.pyannote[839].end 5405.88659375
transcript.pyannote[840].speaker SPEAKER_00
transcript.pyannote[840].start 5406.02159375
transcript.pyannote[840].end 5406.51096875
transcript.pyannote[841].speaker SPEAKER_15
transcript.pyannote[841].start 5434.69221875
transcript.pyannote[841].end 5435.06346875
transcript.pyannote[842].speaker SPEAKER_41
transcript.pyannote[842].start 5458.70534375
transcript.pyannote[842].end 5458.72221875
transcript.pyannote[843].speaker SPEAKER_15
transcript.pyannote[843].start 5458.72221875
transcript.pyannote[843].end 5464.89846875
transcript.pyannote[844].speaker SPEAKER_41
transcript.pyannote[844].start 5459.09346875
transcript.pyannote[844].end 5459.16096875
transcript.pyannote[845].speaker SPEAKER_41
transcript.pyannote[845].start 5459.21159375
transcript.pyannote[845].end 5462.73846875
transcript.pyannote[846].speaker SPEAKER_41
transcript.pyannote[846].start 5463.98721875
transcript.pyannote[846].end 5475.95159375
transcript.pyannote[847].speaker SPEAKER_15
transcript.pyannote[847].start 5470.92284375
transcript.pyannote[847].end 5471.98596875
transcript.pyannote[848].speaker SPEAKER_15
transcript.pyannote[848].start 5472.67784375
transcript.pyannote[848].end 5474.78721875
transcript.pyannote[849].speaker SPEAKER_15
transcript.pyannote[849].start 5474.80409375
transcript.pyannote[849].end 5474.87159375
transcript.pyannote[850].speaker SPEAKER_08
transcript.pyannote[850].start 5474.87159375
transcript.pyannote[850].end 5479.02284375
transcript.pyannote[851].speaker SPEAKER_15
transcript.pyannote[851].start 5475.95159375
transcript.pyannote[851].end 5475.96846875
transcript.pyannote[852].speaker SPEAKER_41
transcript.pyannote[852].start 5475.96846875
transcript.pyannote[852].end 5475.98534375
transcript.pyannote[853].speaker SPEAKER_34
transcript.pyannote[853].start 5479.02284375
transcript.pyannote[853].end 5482.90409375
transcript.pyannote[854].speaker SPEAKER_34
transcript.pyannote[854].start 5483.22471875
transcript.pyannote[854].end 5487.76409375
transcript.pyannote[855].speaker SPEAKER_34
transcript.pyannote[855].start 5487.86534375
transcript.pyannote[855].end 5490.81846875
transcript.pyannote[856].speaker SPEAKER_34
transcript.pyannote[856].start 5490.97034375
transcript.pyannote[856].end 5505.97221875
transcript.pyannote[857].speaker SPEAKER_08
transcript.pyannote[857].start 5505.97221875
transcript.pyannote[857].end 5521.10909375
transcript.pyannote[858].speaker SPEAKER_08
transcript.pyannote[858].start 5521.42971875
transcript.pyannote[858].end 5525.96909375
transcript.pyannote[859].speaker SPEAKER_34
transcript.pyannote[859].start 5525.96909375
transcript.pyannote[859].end 5528.02784375
transcript.pyannote[860].speaker SPEAKER_10
transcript.pyannote[860].start 5528.02784375
transcript.pyannote[860].end 5529.63096875
transcript.pyannote[861].speaker SPEAKER_10
transcript.pyannote[861].start 5529.93471875
transcript.pyannote[861].end 5540.97096875
transcript.pyannote[862].speaker SPEAKER_34
transcript.pyannote[862].start 5540.97096875
transcript.pyannote[862].end 5544.02534375
transcript.pyannote[863].speaker SPEAKER_18
transcript.pyannote[863].start 5544.02534375
transcript.pyannote[863].end 5558.13284375
transcript.pyannote[864].speaker SPEAKER_34
transcript.pyannote[864].start 5558.13284375
transcript.pyannote[864].end 5558.14971875
transcript.pyannote[865].speaker SPEAKER_18
transcript.pyannote[865].start 5558.14971875
transcript.pyannote[865].end 5558.97659375
transcript.pyannote[866].speaker SPEAKER_34
transcript.pyannote[866].start 5558.97659375
transcript.pyannote[866].end 5559.02721875
transcript.pyannote[867].speaker SPEAKER_08
transcript.pyannote[867].start 5559.02721875
transcript.pyannote[867].end 5563.97159375
transcript.pyannote[868].speaker SPEAKER_34
transcript.pyannote[868].start 5563.97159375
transcript.pyannote[868].end 5565.03471875
transcript.pyannote[869].speaker SPEAKER_08
transcript.pyannote[869].start 5565.03471875
transcript.pyannote[869].end 5570.55284375
transcript.pyannote[870].speaker SPEAKER_08
transcript.pyannote[870].start 5570.92409375
transcript.pyannote[870].end 5580.03659375
transcript.pyannote[871].speaker SPEAKER_34
transcript.pyannote[871].start 5580.03659375
transcript.pyannote[871].end 5580.13784375
transcript.pyannote[872].speaker SPEAKER_08
transcript.pyannote[872].start 5580.13784375
transcript.pyannote[872].end 5580.32346875
transcript.pyannote[873].speaker SPEAKER_34
transcript.pyannote[873].start 5580.32346875
transcript.pyannote[873].end 5587.96784375
transcript.pyannote[874].speaker SPEAKER_08
transcript.pyannote[874].start 5583.69846875
transcript.pyannote[874].end 5583.73221875
transcript.pyannote[875].speaker SPEAKER_08
transcript.pyannote[875].start 5583.88409375
transcript.pyannote[875].end 5583.91784375
transcript.pyannote[876].speaker SPEAKER_08
transcript.pyannote[876].start 5587.96784375
transcript.pyannote[876].end 5592.03471875
transcript.pyannote[877].speaker SPEAKER_18
transcript.pyannote[877].start 5592.03471875
transcript.pyannote[877].end 5595.96659375
transcript.pyannote[878].speaker SPEAKER_08
transcript.pyannote[878].start 5593.13159375
transcript.pyannote[878].end 5593.30034375
transcript.pyannote[879].speaker SPEAKER_08
transcript.pyannote[879].start 5594.73471875
transcript.pyannote[879].end 5595.00471875
transcript.pyannote[880].speaker SPEAKER_34
transcript.pyannote[880].start 5595.00471875
transcript.pyannote[880].end 5595.03846875
transcript.pyannote[881].speaker SPEAKER_34
transcript.pyannote[881].start 5595.96659375
transcript.pyannote[881].end 5600.21909375
transcript.pyannote[882].speaker SPEAKER_18
transcript.pyannote[882].start 5600.21909375
transcript.pyannote[882].end 5600.23596875
transcript.pyannote[883].speaker SPEAKER_34
transcript.pyannote[883].start 5600.23596875
transcript.pyannote[883].end 5600.26971875
transcript.pyannote[884].speaker SPEAKER_18
transcript.pyannote[884].start 5600.26971875
transcript.pyannote[884].end 5600.75909375
transcript.pyannote[885].speaker SPEAKER_34
transcript.pyannote[885].start 5600.75909375
transcript.pyannote[885].end 5600.80971875
transcript.pyannote[886].speaker SPEAKER_18
transcript.pyannote[886].start 5600.80971875
transcript.pyannote[886].end 5600.82659375
transcript.pyannote[887].speaker SPEAKER_18
transcript.pyannote[887].start 5600.86034375
transcript.pyannote[887].end 5601.45096875
transcript.pyannote[888].speaker SPEAKER_18
transcript.pyannote[888].start 5601.99096875
transcript.pyannote[888].end 5604.45471875
transcript.pyannote[889].speaker SPEAKER_18
transcript.pyannote[889].start 5604.48846875
transcript.pyannote[889].end 5608.82534375
transcript.pyannote[890].speaker SPEAKER_24
transcript.pyannote[890].start 5608.82534375
transcript.pyannote[890].end 5609.34846875
transcript.pyannote[891].speaker SPEAKER_18
transcript.pyannote[891].start 5609.34846875
transcript.pyannote[891].end 5614.56284375
transcript.pyannote[892].speaker SPEAKER_18
transcript.pyannote[892].start 5614.91721875
transcript.pyannote[892].end 5620.14846875
transcript.pyannote[893].speaker SPEAKER_18
transcript.pyannote[893].start 5620.63784375
transcript.pyannote[893].end 5624.41784375
transcript.pyannote[894].speaker SPEAKER_18
transcript.pyannote[894].start 5624.99159375
transcript.pyannote[894].end 5630.13846875
transcript.pyannote[895].speaker SPEAKER_15
transcript.pyannote[895].start 5632.07909375
transcript.pyannote[895].end 5637.02346875
transcript.pyannote[896].speaker SPEAKER_18
transcript.pyannote[896].start 5633.34471875
transcript.pyannote[896].end 5634.15471875
transcript.pyannote[897].speaker SPEAKER_18
transcript.pyannote[897].start 5635.75784375
transcript.pyannote[897].end 5637.14159375
transcript.pyannote[898].speaker SPEAKER_15
transcript.pyannote[898].start 5637.14159375
transcript.pyannote[898].end 5638.94721875
transcript.pyannote[899].speaker SPEAKER_18
transcript.pyannote[899].start 5637.54659375
transcript.pyannote[899].end 5640.56721875
transcript.pyannote[900].speaker SPEAKER_15
transcript.pyannote[900].start 5639.03159375
transcript.pyannote[900].end 5639.36909375
transcript.pyannote[901].speaker SPEAKER_15
transcript.pyannote[901].start 5640.56721875
transcript.pyannote[901].end 5641.63034375
transcript.pyannote[902].speaker SPEAKER_18
transcript.pyannote[902].start 5641.15784375
transcript.pyannote[902].end 5643.19971875
transcript.pyannote[903].speaker SPEAKER_28
transcript.pyannote[903].start 5643.53721875
transcript.pyannote[903].end 5651.21534375
transcript.pyannote[904].speaker SPEAKER_15
transcript.pyannote[904].start 5651.11409375
transcript.pyannote[904].end 5653.81409375
transcript.pyannote[905].speaker SPEAKER_28
transcript.pyannote[905].start 5652.63284375
transcript.pyannote[905].end 5654.03346875
transcript.pyannote[906].speaker SPEAKER_15
transcript.pyannote[906].start 5654.03346875
transcript.pyannote[906].end 5655.58596875
transcript.pyannote[907].speaker SPEAKER_18
transcript.pyannote[907].start 5655.11346875
transcript.pyannote[907].end 5656.12596875
transcript.pyannote[908].speaker SPEAKER_27
transcript.pyannote[908].start 5655.58596875
transcript.pyannote[908].end 5655.60284375
transcript.pyannote[909].speaker SPEAKER_15
transcript.pyannote[909].start 5655.60284375
transcript.pyannote[909].end 5655.61971875
transcript.pyannote[910].speaker SPEAKER_27
transcript.pyannote[910].start 5655.61971875
transcript.pyannote[910].end 5656.05846875
transcript.pyannote[911].speaker SPEAKER_27
transcript.pyannote[911].start 5656.12596875
transcript.pyannote[911].end 5656.14284375
transcript.pyannote[912].speaker SPEAKER_18
transcript.pyannote[912].start 5656.14284375
transcript.pyannote[912].end 5656.15971875
transcript.pyannote[913].speaker SPEAKER_27
transcript.pyannote[913].start 5656.44659375
transcript.pyannote[913].end 5663.82096875
transcript.pyannote[914].speaker SPEAKER_15
transcript.pyannote[914].start 5657.81346875
transcript.pyannote[914].end 5659.43346875
transcript.pyannote[915].speaker SPEAKER_18
transcript.pyannote[915].start 5664.00659375
transcript.pyannote[915].end 5667.02721875
transcript.pyannote[916].speaker SPEAKER_27
transcript.pyannote[916].start 5664.09096875
transcript.pyannote[916].end 5664.12471875
transcript.pyannote[917].speaker SPEAKER_15
transcript.pyannote[917].start 5664.79971875
transcript.pyannote[917].end 5665.03596875
transcript.pyannote[918].speaker SPEAKER_15
transcript.pyannote[918].start 5668.03971875
transcript.pyannote[918].end 5668.61346875
transcript.pyannote[919].speaker SPEAKER_18
transcript.pyannote[919].start 5668.95096875
transcript.pyannote[919].end 5675.83596875
transcript.pyannote[920].speaker SPEAKER_18
transcript.pyannote[920].start 5676.42659375
transcript.pyannote[920].end 5679.02534375
transcript.pyannote[921].speaker SPEAKER_07
transcript.pyannote[921].start 5679.02534375
transcript.pyannote[921].end 5679.86909375
transcript.pyannote[922].speaker SPEAKER_18
transcript.pyannote[922].start 5679.86909375
transcript.pyannote[922].end 5680.03784375
transcript.pyannote[923].speaker SPEAKER_07
transcript.pyannote[923].start 5680.03784375
transcript.pyannote[923].end 5688.05346875
transcript.pyannote[924].speaker SPEAKER_18
transcript.pyannote[924].start 5680.08846875
transcript.pyannote[924].end 5680.17284375
transcript.pyannote[925].speaker SPEAKER_18
transcript.pyannote[925].start 5689.50471875
transcript.pyannote[925].end 5689.52159375
transcript.pyannote[926].speaker SPEAKER_07
transcript.pyannote[926].start 5689.52159375
transcript.pyannote[926].end 5689.97721875
transcript.pyannote[927].speaker SPEAKER_18
transcript.pyannote[927].start 5689.97721875
transcript.pyannote[927].end 5690.92221875
transcript.pyannote[928].speaker SPEAKER_07
transcript.pyannote[928].start 5690.92221875
transcript.pyannote[928].end 5690.97284375
transcript.pyannote[929].speaker SPEAKER_18
transcript.pyannote[929].start 5690.97284375
transcript.pyannote[929].end 5691.00659375
transcript.pyannote[930].speaker SPEAKER_07
transcript.pyannote[930].start 5691.00659375
transcript.pyannote[930].end 5691.04034375
transcript.pyannote[931].speaker SPEAKER_18
transcript.pyannote[931].start 5691.10784375
transcript.pyannote[931].end 5691.22596875
transcript.pyannote[932].speaker SPEAKER_07
transcript.pyannote[932].start 5691.22596875
transcript.pyannote[932].end 5691.24284375
transcript.pyannote[933].speaker SPEAKER_18
transcript.pyannote[933].start 5691.24284375
transcript.pyannote[933].end 5693.79096875
transcript.pyannote[934].speaker SPEAKER_15
transcript.pyannote[934].start 5693.79096875
transcript.pyannote[934].end 5693.85846875
transcript.pyannote[935].speaker SPEAKER_18
transcript.pyannote[935].start 5693.85846875
transcript.pyannote[935].end 5693.95971875
transcript.pyannote[936].speaker SPEAKER_15
transcript.pyannote[936].start 5693.95971875
transcript.pyannote[936].end 5694.02721875
transcript.pyannote[937].speaker SPEAKER_18
transcript.pyannote[937].start 5694.02721875
transcript.pyannote[937].end 5694.58409375
transcript.pyannote[938].speaker SPEAKER_18
transcript.pyannote[938].start 5695.41096875
transcript.pyannote[938].end 5696.60909375
transcript.pyannote[939].speaker SPEAKER_18
transcript.pyannote[939].start 5699.78159375
transcript.pyannote[939].end 5715.99846875
transcript.pyannote[940].speaker SPEAKER_18
transcript.pyannote[940].start 5716.21784375
transcript.pyannote[940].end 5717.23034375
transcript.pyannote[941].speaker SPEAKER_18
transcript.pyannote[941].start 5717.51721875
transcript.pyannote[941].end 5720.62221875
transcript.pyannote[942].speaker SPEAKER_15
transcript.pyannote[942].start 5720.62221875
transcript.pyannote[942].end 5720.65596875
transcript.pyannote[943].speaker SPEAKER_18
transcript.pyannote[943].start 5720.65596875
transcript.pyannote[943].end 5720.68971875
transcript.pyannote[944].speaker SPEAKER_15
transcript.pyannote[944].start 5720.68971875
transcript.pyannote[944].end 5720.77409375
transcript.pyannote[945].speaker SPEAKER_15
transcript.pyannote[945].start 5721.76971875
transcript.pyannote[945].end 5721.78659375
transcript.pyannote[946].speaker SPEAKER_18
transcript.pyannote[946].start 5721.78659375
transcript.pyannote[946].end 5723.03534375
transcript.pyannote[947].speaker SPEAKER_15
transcript.pyannote[947].start 5721.82034375
transcript.pyannote[947].end 5726.93346875
transcript.pyannote[948].speaker SPEAKER_20
transcript.pyannote[948].start 5723.03534375
transcript.pyannote[948].end 5723.54159375
transcript.pyannote[949].speaker SPEAKER_20
transcript.pyannote[949].start 5727.67596875
transcript.pyannote[949].end 5742.10409375
transcript.pyannote[950].speaker SPEAKER_15
transcript.pyannote[950].start 5730.69659375
transcript.pyannote[950].end 5730.96659375
transcript.pyannote[951].speaker SPEAKER_20
transcript.pyannote[951].start 5743.48784375
transcript.pyannote[951].end 5765.81346875
transcript.pyannote[952].speaker SPEAKER_20
transcript.pyannote[952].start 5766.30284375
transcript.pyannote[952].end 5769.34034375
transcript.pyannote[953].speaker SPEAKER_20
transcript.pyannote[953].start 5769.74534375
transcript.pyannote[953].end 5780.84909375
transcript.pyannote[954].speaker SPEAKER_20
transcript.pyannote[954].start 5781.38909375
transcript.pyannote[954].end 5793.37034375
transcript.pyannote[955].speaker SPEAKER_20
transcript.pyannote[955].start 5793.79221875
transcript.pyannote[955].end 5830.34346875
transcript.pyannote[956].speaker SPEAKER_20
transcript.pyannote[956].start 5830.36034375
transcript.pyannote[956].end 5830.63034375
transcript.pyannote[957].speaker SPEAKER_18
transcript.pyannote[957].start 5830.63034375
transcript.pyannote[957].end 5832.82409375
transcript.pyannote[958].speaker SPEAKER_15
transcript.pyannote[958].start 5832.26721875
transcript.pyannote[958].end 5832.73971875
transcript.pyannote[959].speaker SPEAKER_18
transcript.pyannote[959].start 5833.16159375
transcript.pyannote[959].end 5833.17846875
transcript.pyannote[960].speaker SPEAKER_15
transcript.pyannote[960].start 5833.17846875
transcript.pyannote[960].end 5841.70034375
transcript.pyannote[961].speaker SPEAKER_15
transcript.pyannote[961].start 5841.97034375
transcript.pyannote[961].end 5841.98721875
transcript.pyannote[962].speaker SPEAKER_14
transcript.pyannote[962].start 5841.98721875
transcript.pyannote[962].end 5877.05346875
transcript.pyannote[963].speaker SPEAKER_15
transcript.pyannote[963].start 5842.00409375
transcript.pyannote[963].end 5842.05471875
transcript.pyannote[964].speaker SPEAKER_15
transcript.pyannote[964].start 5842.07159375
transcript.pyannote[964].end 5842.96596875
transcript.pyannote[965].speaker SPEAKER_15
transcript.pyannote[965].start 5877.89721875
transcript.pyannote[965].end 5884.46159375
transcript.pyannote[966].speaker SPEAKER_18
transcript.pyannote[966].start 5878.15034375
transcript.pyannote[966].end 5878.16721875
transcript.pyannote[967].speaker SPEAKER_14
transcript.pyannote[967].start 5878.16721875
transcript.pyannote[967].end 5878.42034375
transcript.pyannote[968].speaker SPEAKER_18
transcript.pyannote[968].start 5878.42034375
transcript.pyannote[968].end 5879.24721875
transcript.pyannote[969].speaker SPEAKER_14
transcript.pyannote[969].start 5882.55471875
transcript.pyannote[969].end 5882.57159375
transcript.pyannote[970].speaker SPEAKER_18
transcript.pyannote[970].start 5882.57159375
transcript.pyannote[970].end 5887.02659375
transcript.pyannote[971].speaker SPEAKER_18
transcript.pyannote[971].start 5887.58346875
transcript.pyannote[971].end 5899.37909375
transcript.pyannote[972].speaker SPEAKER_18
transcript.pyannote[972].start 5899.76721875
transcript.pyannote[972].end 5900.17221875
transcript.pyannote[973].speaker SPEAKER_24
transcript.pyannote[973].start 5900.17221875
transcript.pyannote[973].end 5900.42534375
transcript.pyannote[974].speaker SPEAKER_18
transcript.pyannote[974].start 5901.35346875
transcript.pyannote[974].end 5901.89346875
transcript.pyannote[975].speaker SPEAKER_18
transcript.pyannote[975].start 5902.36596875
transcript.pyannote[975].end 5903.66534375
transcript.pyannote[976].speaker SPEAKER_18
transcript.pyannote[976].start 5904.49221875
transcript.pyannote[976].end 5906.34846875
transcript.pyannote[977].speaker SPEAKER_18
transcript.pyannote[977].start 5906.90534375
transcript.pyannote[977].end 5911.96784375
transcript.pyannote[978].speaker SPEAKER_18
transcript.pyannote[978].start 5912.49096875
transcript.pyannote[978].end 5913.46971875
transcript.pyannote[979].speaker SPEAKER_18
transcript.pyannote[979].start 5913.57096875
transcript.pyannote[979].end 5914.92096875
transcript.pyannote[980].speaker SPEAKER_18
transcript.pyannote[980].start 5915.61284375
transcript.pyannote[980].end 5917.84034375
transcript.pyannote[981].speaker SPEAKER_18
transcript.pyannote[981].start 5918.32971875
transcript.pyannote[981].end 5919.96659375
transcript.pyannote[982].speaker SPEAKER_05
transcript.pyannote[982].start 5919.96659375
transcript.pyannote[982].end 5924.23596875
transcript.pyannote[983].speaker SPEAKER_05
transcript.pyannote[983].start 5924.45534375
transcript.pyannote[983].end 5929.12971875
transcript.pyannote[984].speaker SPEAKER_18
transcript.pyannote[984].start 5929.12971875
transcript.pyannote[984].end 5929.16346875
transcript.pyannote[985].speaker SPEAKER_24
transcript.pyannote[985].start 5929.58534375
transcript.pyannote[985].end 5929.63596875
transcript.pyannote[986].speaker SPEAKER_05
transcript.pyannote[986].start 5929.63596875
transcript.pyannote[986].end 5929.97346875
transcript.pyannote[987].speaker SPEAKER_18
transcript.pyannote[987].start 5929.70346875
transcript.pyannote[987].end 5929.78784375
transcript.pyannote[988].speaker SPEAKER_18
transcript.pyannote[988].start 5929.97346875
transcript.pyannote[988].end 5930.73284375
transcript.pyannote[989].speaker SPEAKER_18
transcript.pyannote[989].start 5931.59346875
transcript.pyannote[989].end 5932.85909375
transcript.pyannote[990].speaker SPEAKER_18
transcript.pyannote[990].start 5933.28096875
transcript.pyannote[990].end 5935.66034375
transcript.pyannote[991].speaker SPEAKER_18
transcript.pyannote[991].start 5936.62221875
transcript.pyannote[991].end 5941.27971875
transcript.pyannote[992].speaker SPEAKER_15
transcript.pyannote[992].start 5940.99284375
transcript.pyannote[992].end 5942.02221875
transcript.pyannote[993].speaker SPEAKER_18
transcript.pyannote[993].start 5942.02221875
transcript.pyannote[993].end 5945.29596875
transcript.pyannote[994].speaker SPEAKER_18
transcript.pyannote[994].start 5945.97096875
transcript.pyannote[994].end 5950.42596875
transcript.pyannote[995].speaker SPEAKER_18
transcript.pyannote[995].start 5951.13471875
transcript.pyannote[995].end 5951.57346875
transcript.pyannote[996].speaker SPEAKER_18
transcript.pyannote[996].start 5952.40034375
transcript.pyannote[996].end 5953.83471875
transcript.pyannote[997].speaker SPEAKER_24
transcript.pyannote[997].start 5953.83471875
transcript.pyannote[997].end 5954.00346875
transcript.pyannote[998].speaker SPEAKER_18
transcript.pyannote[998].start 5954.34096875
transcript.pyannote[998].end 5955.31971875
transcript.pyannote[999].speaker SPEAKER_18
transcript.pyannote[999].start 5956.82159375
transcript.pyannote[999].end 5959.13346875
transcript.pyannote[1000].speaker SPEAKER_15
transcript.pyannote[1000].start 5959.80846875
transcript.pyannote[1000].end 5959.84221875
transcript.pyannote[1001].speaker SPEAKER_24
transcript.pyannote[1001].start 5959.84221875
transcript.pyannote[1001].end 5959.85909375
transcript.pyannote[1002].speaker SPEAKER_15
transcript.pyannote[1002].start 5959.85909375
transcript.pyannote[1002].end 5959.87596875
transcript.pyannote[1003].speaker SPEAKER_18
transcript.pyannote[1003].start 5959.87596875
transcript.pyannote[1003].end 5960.78721875
transcript.pyannote[1004].speaker SPEAKER_18
transcript.pyannote[1004].start 5961.31034375
transcript.pyannote[1004].end 5965.78221875
transcript.pyannote[1005].speaker SPEAKER_18
transcript.pyannote[1005].start 5966.45721875
transcript.pyannote[1005].end 5969.10659375
transcript.pyannote[1006].speaker SPEAKER_18
transcript.pyannote[1006].start 5969.66346875
transcript.pyannote[1006].end 5978.26971875
transcript.pyannote[1007].speaker SPEAKER_18
transcript.pyannote[1007].start 5978.47221875
transcript.pyannote[1007].end 5981.20596875
transcript.pyannote[1008].speaker SPEAKER_18
transcript.pyannote[1008].start 5981.81346875
transcript.pyannote[1008].end 5987.70284375
transcript.pyannote[1009].speaker SPEAKER_18
transcript.pyannote[1009].start 5988.34409375
transcript.pyannote[1009].end 5988.73221875
transcript.pyannote[1010].speaker SPEAKER_18
transcript.pyannote[1010].start 5989.20471875
transcript.pyannote[1010].end 5992.02284375
transcript.pyannote[1011].speaker SPEAKER_18
transcript.pyannote[1011].start 5992.41096875
transcript.pyannote[1011].end 5998.01346875
transcript.pyannote[1012].speaker SPEAKER_18
transcript.pyannote[1012].start 5998.57034375
transcript.pyannote[1012].end 5999.36346875
transcript.pyannote[1013].speaker SPEAKER_15
transcript.pyannote[1013].start 5999.02596875
transcript.pyannote[1013].end 6003.14346875
transcript.pyannote[1014].speaker SPEAKER_18
transcript.pyannote[1014].start 6000.46034375
transcript.pyannote[1014].end 6002.62034375
transcript.pyannote[1015].speaker SPEAKER_15
transcript.pyannote[1015].start 6003.97034375
transcript.pyannote[1015].end 6004.15596875
transcript.pyannote[1016].speaker SPEAKER_29
transcript.pyannote[1016].start 6004.76346875
transcript.pyannote[1016].end 6016.28909375
transcript.pyannote[1017].speaker SPEAKER_29
transcript.pyannote[1017].start 6016.50846875
transcript.pyannote[1017].end 6059.03346875
transcript.pyannote[1018].speaker SPEAKER_29
transcript.pyannote[1018].start 6059.33721875
transcript.pyannote[1018].end 6134.16096875
transcript.pyannote[1019].speaker SPEAKER_29
transcript.pyannote[1019].start 6134.93721875
transcript.pyannote[1019].end 6175.53846875
transcript.pyannote[1020].speaker SPEAKER_00
transcript.pyannote[1020].start 6144.26909375
transcript.pyannote[1020].end 6144.75846875
transcript.pyannote[1021].speaker SPEAKER_00
transcript.pyannote[1021].start 6148.77471875
transcript.pyannote[1021].end 6149.06159375
transcript.pyannote[1022].speaker SPEAKER_18
transcript.pyannote[1022].start 6175.42034375
transcript.pyannote[1022].end 6175.47096875
transcript.pyannote[1023].speaker SPEAKER_18
transcript.pyannote[1023].start 6175.53846875
transcript.pyannote[1023].end 6175.79159375
transcript.pyannote[1024].speaker SPEAKER_24
transcript.pyannote[1024].start 6175.79159375
transcript.pyannote[1024].end 6176.11221875
transcript.pyannote[1025].speaker SPEAKER_18
transcript.pyannote[1025].start 6176.11221875
transcript.pyannote[1025].end 6176.21346875
transcript.pyannote[1026].speaker SPEAKER_18
transcript.pyannote[1026].start 6176.34846875
transcript.pyannote[1026].end 6178.52534375
transcript.pyannote[1027].speaker SPEAKER_18
transcript.pyannote[1027].start 6179.60534375
transcript.pyannote[1027].end 6188.63346875
transcript.pyannote[1028].speaker SPEAKER_18
transcript.pyannote[1028].start 6188.95409375
transcript.pyannote[1028].end 6235.02284375
transcript.pyannote[1029].speaker SPEAKER_24
transcript.pyannote[1029].start 6219.17721875
transcript.pyannote[1029].end 6219.37971875
transcript.pyannote[1030].speaker SPEAKER_18
transcript.pyannote[1030].start 6235.59659375
transcript.pyannote[1030].end 6236.10284375
transcript.pyannote[1031].speaker SPEAKER_24
transcript.pyannote[1031].start 6235.88346875
transcript.pyannote[1031].end 6236.77784375
transcript.pyannote[1032].speaker SPEAKER_18
transcript.pyannote[1032].start 6236.17034375
transcript.pyannote[1032].end 6237.73971875
transcript.pyannote[1033].speaker SPEAKER_24
transcript.pyannote[1033].start 6237.97596875
transcript.pyannote[1033].end 6238.83659375
transcript.pyannote[1034].speaker SPEAKER_24
transcript.pyannote[1034].start 6238.88721875
transcript.pyannote[1034].end 6239.35971875
transcript.pyannote[1035].speaker SPEAKER_18
transcript.pyannote[1035].start 6239.88284375
transcript.pyannote[1035].end 6244.59096875
transcript.pyannote[1036].speaker SPEAKER_18
transcript.pyannote[1036].start 6244.82721875
transcript.pyannote[1036].end 6246.49784375
transcript.pyannote[1037].speaker SPEAKER_24
transcript.pyannote[1037].start 6246.58221875
transcript.pyannote[1037].end 6246.85221875
transcript.pyannote[1038].speaker SPEAKER_18
transcript.pyannote[1038].start 6246.91971875
transcript.pyannote[1038].end 6249.09659375
transcript.pyannote[1039].speaker SPEAKER_18
transcript.pyannote[1039].start 6249.60284375
transcript.pyannote[1039].end 6255.18846875
transcript.pyannote[1040].speaker SPEAKER_18
transcript.pyannote[1040].start 6255.37409375
transcript.pyannote[1040].end 6255.45846875
transcript.pyannote[1041].speaker SPEAKER_08
transcript.pyannote[1041].start 6255.45846875
transcript.pyannote[1041].end 6255.76221875
transcript.pyannote[1042].speaker SPEAKER_18
transcript.pyannote[1042].start 6255.55971875
transcript.pyannote[1042].end 6259.37346875
transcript.pyannote[1043].speaker SPEAKER_24
transcript.pyannote[1043].start 6260.21721875
transcript.pyannote[1043].end 6263.49096875
transcript.pyannote[1044].speaker SPEAKER_18
transcript.pyannote[1044].start 6262.25909375
transcript.pyannote[1044].end 6263.96346875
transcript.pyannote[1045].speaker SPEAKER_24
transcript.pyannote[1045].start 6263.52471875
transcript.pyannote[1045].end 6263.55846875
transcript.pyannote[1046].speaker SPEAKER_10
transcript.pyannote[1046].start 6263.96346875
transcript.pyannote[1046].end 6266.44409375
transcript.pyannote[1047].speaker SPEAKER_08
transcript.pyannote[1047].start 6266.44409375
transcript.pyannote[1047].end 6266.54534375
transcript.pyannote[1048].speaker SPEAKER_10
transcript.pyannote[1048].start 6266.54534375
transcript.pyannote[1048].end 6275.03346875
transcript.pyannote[1049].speaker SPEAKER_18
transcript.pyannote[1049].start 6275.03346875
transcript.pyannote[1049].end 6275.32034375
transcript.pyannote[1050].speaker SPEAKER_18
transcript.pyannote[1050].start 6275.64096875
transcript.pyannote[1050].end 6297.88221875
transcript.pyannote[1051].speaker SPEAKER_18
transcript.pyannote[1051].start 6297.93284375
transcript.pyannote[1051].end 6302.82659375
transcript.pyannote[1052].speaker SPEAKER_18
transcript.pyannote[1052].start 6303.19784375
transcript.pyannote[1052].end 6325.05096875
transcript.pyannote[1053].speaker SPEAKER_24
transcript.pyannote[1053].start 6308.61471875
transcript.pyannote[1053].end 6308.78346875
transcript.pyannote[1054].speaker SPEAKER_18
transcript.pyannote[1054].start 6325.38846875
transcript.pyannote[1054].end 6333.03284375
transcript.pyannote[1055].speaker SPEAKER_24
transcript.pyannote[1055].start 6333.03284375
transcript.pyannote[1055].end 6333.84284375
transcript.pyannote[1056].speaker SPEAKER_18
transcript.pyannote[1056].start 6333.97784375
transcript.pyannote[1056].end 6336.69471875
transcript.pyannote[1057].speaker SPEAKER_17
transcript.pyannote[1057].start 6336.69471875
transcript.pyannote[1057].end 6336.74534375
transcript.pyannote[1058].speaker SPEAKER_18
transcript.pyannote[1058].start 6337.33596875
transcript.pyannote[1058].end 6337.35284375
transcript.pyannote[1059].speaker SPEAKER_17
transcript.pyannote[1059].start 6337.35284375
transcript.pyannote[1059].end 6339.09096875
transcript.pyannote[1060].speaker SPEAKER_24
transcript.pyannote[1060].start 6339.09096875
transcript.pyannote[1060].end 6341.53784375
transcript.pyannote[1061].speaker SPEAKER_17
transcript.pyannote[1061].start 6341.47034375
transcript.pyannote[1061].end 6348.23721875
transcript.pyannote[1062].speaker SPEAKER_24
transcript.pyannote[1062].start 6341.58846875
transcript.pyannote[1062].end 6341.63909375
transcript.pyannote[1063].speaker SPEAKER_15
transcript.pyannote[1063].start 6347.34284375
transcript.pyannote[1063].end 6347.37659375
transcript.pyannote[1064].speaker SPEAKER_15
transcript.pyannote[1064].start 6347.39346875
transcript.pyannote[1064].end 6347.42721875
transcript.pyannote[1065].speaker SPEAKER_24
transcript.pyannote[1065].start 6348.35534375
transcript.pyannote[1065].end 6350.44784375
transcript.pyannote[1066].speaker SPEAKER_17
transcript.pyannote[1066].start 6349.67159375
transcript.pyannote[1066].end 6354.17721875
transcript.pyannote[1067].speaker SPEAKER_17
transcript.pyannote[1067].start 6355.56096875
transcript.pyannote[1067].end 6358.54784375
transcript.pyannote[1068].speaker SPEAKER_17
transcript.pyannote[1068].start 6358.98659375
transcript.pyannote[1068].end 6365.78721875
transcript.pyannote[1069].speaker SPEAKER_17
transcript.pyannote[1069].start 6366.31034375
transcript.pyannote[1069].end 6371.20409375
transcript.pyannote[1070].speaker SPEAKER_17
transcript.pyannote[1070].start 6371.86221875
transcript.pyannote[1070].end 6375.00096875
transcript.pyannote[1071].speaker SPEAKER_17
transcript.pyannote[1071].start 6375.62534375
transcript.pyannote[1071].end 6387.91034375
transcript.pyannote[1072].speaker SPEAKER_24
transcript.pyannote[1072].start 6388.04534375
transcript.pyannote[1072].end 6388.58534375
transcript.pyannote[1073].speaker SPEAKER_17
transcript.pyannote[1073].start 6388.41659375
transcript.pyannote[1073].end 6391.31909375
transcript.pyannote[1074].speaker SPEAKER_17
transcript.pyannote[1074].start 6391.80846875
transcript.pyannote[1074].end 6397.05659375
transcript.pyannote[1075].speaker SPEAKER_17
transcript.pyannote[1075].start 6398.18721875
transcript.pyannote[1075].end 6402.22034375
transcript.pyannote[1076].speaker SPEAKER_17
transcript.pyannote[1076].start 6402.81096875
transcript.pyannote[1076].end 6437.60721875
transcript.pyannote[1077].speaker SPEAKER_00
transcript.pyannote[1077].start 6426.35159375
transcript.pyannote[1077].end 6426.48659375
transcript.pyannote[1078].speaker SPEAKER_24
transcript.pyannote[1078].start 6437.69159375
transcript.pyannote[1078].end 6438.21471875
transcript.pyannote[1079].speaker SPEAKER_17
transcript.pyannote[1079].start 6438.11346875
transcript.pyannote[1079].end 6444.08721875
transcript.pyannote[1080].speaker SPEAKER_15
transcript.pyannote[1080].start 6442.95659375
transcript.pyannote[1080].end 6447.81659375
transcript.pyannote[1081].speaker SPEAKER_17
transcript.pyannote[1081].start 6447.34409375
transcript.pyannote[1081].end 6455.57909375
transcript.pyannote[1082].speaker SPEAKER_15
transcript.pyannote[1082].start 6447.90096875
transcript.pyannote[1082].end 6447.91784375
transcript.pyannote[1083].speaker SPEAKER_17
transcript.pyannote[1083].start 6456.67596875
transcript.pyannote[1083].end 6456.70971875
transcript.pyannote[1084].speaker SPEAKER_18
transcript.pyannote[1084].start 6456.70971875
transcript.pyannote[1084].end 6458.05971875
transcript.pyannote[1085].speaker SPEAKER_18
transcript.pyannote[1085].start 6458.24534375
transcript.pyannote[1085].end 6463.88159375
transcript.pyannote[1086].speaker SPEAKER_18
transcript.pyannote[1086].start 6464.62409375
transcript.pyannote[1086].end 6471.05346875
transcript.pyannote[1087].speaker SPEAKER_18
transcript.pyannote[1087].start 6471.08721875
transcript.pyannote[1087].end 6471.71159375
transcript.pyannote[1088].speaker SPEAKER_18
transcript.pyannote[1088].start 6472.20096875
transcript.pyannote[1088].end 6472.72409375
transcript.pyannote[1089].speaker SPEAKER_18
transcript.pyannote[1089].start 6473.16284375
transcript.pyannote[1089].end 6475.33971875
transcript.pyannote[1090].speaker SPEAKER_18
transcript.pyannote[1090].start 6475.72784375
transcript.pyannote[1090].end 6476.47034375
transcript.pyannote[1091].speaker SPEAKER_18
transcript.pyannote[1091].start 6476.72346875
transcript.pyannote[1091].end 6481.92096875
transcript.pyannote[1092].speaker SPEAKER_24
transcript.pyannote[1092].start 6482.56221875
transcript.pyannote[1092].end 6482.84909375
transcript.pyannote[1093].speaker SPEAKER_18
transcript.pyannote[1093].start 6483.16971875
transcript.pyannote[1093].end 6483.69284375
transcript.pyannote[1094].speaker SPEAKER_18
transcript.pyannote[1094].start 6484.67159375
transcript.pyannote[1094].end 6487.87784375
transcript.pyannote[1095].speaker SPEAKER_18
transcript.pyannote[1095].start 6488.94096875
transcript.pyannote[1095].end 6490.86471875
transcript.pyannote[1096].speaker SPEAKER_24
transcript.pyannote[1096].start 6490.86471875
transcript.pyannote[1096].end 6491.60721875
transcript.pyannote[1097].speaker SPEAKER_18
transcript.pyannote[1097].start 6492.38346875
transcript.pyannote[1097].end 6492.40034375
transcript.pyannote[1098].speaker SPEAKER_31
transcript.pyannote[1098].start 6492.40034375
transcript.pyannote[1098].end 6513.24096875
transcript.pyannote[1099].speaker SPEAKER_31
transcript.pyannote[1099].start 6513.59534375
transcript.pyannote[1099].end 6536.66346875
transcript.pyannote[1100].speaker SPEAKER_24
transcript.pyannote[1100].start 6514.18596875
transcript.pyannote[1100].end 6514.43909375
transcript.pyannote[1101].speaker SPEAKER_24
transcript.pyannote[1101].start 6536.66346875
transcript.pyannote[1101].end 6537.97971875
transcript.pyannote[1102].speaker SPEAKER_31
transcript.pyannote[1102].start 6536.69721875
transcript.pyannote[1102].end 6536.73096875
transcript.pyannote[1103].speaker SPEAKER_18
transcript.pyannote[1103].start 6536.73096875
transcript.pyannote[1103].end 6539.39721875
transcript.pyannote[1104].speaker SPEAKER_24
transcript.pyannote[1104].start 6538.03034375
transcript.pyannote[1104].end 6538.16534375
transcript.pyannote[1105].speaker SPEAKER_24
transcript.pyannote[1105].start 6541.27034375
transcript.pyannote[1105].end 6544.66221875
transcript.pyannote[1106].speaker SPEAKER_20
transcript.pyannote[1106].start 6544.47659375
transcript.pyannote[1106].end 6567.02159375
transcript.pyannote[1107].speaker SPEAKER_18
transcript.pyannote[1107].start 6544.66221875
transcript.pyannote[1107].end 6545.03346875
transcript.pyannote[1108].speaker SPEAKER_24
transcript.pyannote[1108].start 6545.03346875
transcript.pyannote[1108].end 6545.08409375
transcript.pyannote[1109].speaker SPEAKER_18
transcript.pyannote[1109].start 6545.08409375
transcript.pyannote[1109].end 6545.23596875
transcript.pyannote[1110].speaker SPEAKER_24
transcript.pyannote[1110].start 6545.23596875
transcript.pyannote[1110].end 6545.38784375
transcript.pyannote[1111].speaker SPEAKER_18
transcript.pyannote[1111].start 6545.38784375
transcript.pyannote[1111].end 6545.97846875
transcript.pyannote[1112].speaker SPEAKER_24
transcript.pyannote[1112].start 6545.97846875
transcript.pyannote[1112].end 6546.41721875
transcript.pyannote[1113].speaker SPEAKER_39
transcript.pyannote[1113].start 6546.41721875
transcript.pyannote[1113].end 6546.99096875
transcript.pyannote[1114].speaker SPEAKER_24
transcript.pyannote[1114].start 6546.99096875
transcript.pyannote[1114].end 6547.04159375
transcript.pyannote[1115].speaker SPEAKER_39
transcript.pyannote[1115].start 6547.04159375
transcript.pyannote[1115].end 6547.05846875
transcript.pyannote[1116].speaker SPEAKER_24
transcript.pyannote[1116].start 6563.91659375
transcript.pyannote[1116].end 6564.49034375
transcript.pyannote[1117].speaker SPEAKER_15
transcript.pyannote[1117].start 6566.56596875
transcript.pyannote[1117].end 6567.00471875
transcript.pyannote[1118].speaker SPEAKER_15
transcript.pyannote[1118].start 6567.02159375
transcript.pyannote[1118].end 6567.03846875
transcript.pyannote[1119].speaker SPEAKER_15
transcript.pyannote[1119].start 6567.08909375
transcript.pyannote[1119].end 6568.03409375
transcript.pyannote[1120].speaker SPEAKER_24
transcript.pyannote[1120].start 6568.03409375
transcript.pyannote[1120].end 6568.96221875
transcript.pyannote[1121].speaker SPEAKER_15
transcript.pyannote[1121].start 6568.96221875
transcript.pyannote[1121].end 6570.41346875
transcript.pyannote[1122].speaker SPEAKER_18
transcript.pyannote[1122].start 6568.97909375
transcript.pyannote[1122].end 6570.51471875
transcript.pyannote[1123].speaker SPEAKER_24
transcript.pyannote[1123].start 6570.41346875
transcript.pyannote[1123].end 6570.58221875
transcript.pyannote[1124].speaker SPEAKER_15
transcript.pyannote[1124].start 6570.51471875
transcript.pyannote[1124].end 6570.53159375
transcript.pyannote[1125].speaker SPEAKER_15
transcript.pyannote[1125].start 6570.54846875
transcript.pyannote[1125].end 6570.64971875
transcript.pyannote[1126].speaker SPEAKER_18
transcript.pyannote[1126].start 6570.61596875
transcript.pyannote[1126].end 6575.32409375
transcript.pyannote[1127].speaker SPEAKER_24
transcript.pyannote[1127].start 6574.53096875
transcript.pyannote[1127].end 6574.80096875
transcript.pyannote[1128].speaker SPEAKER_41
transcript.pyannote[1128].start 6574.80096875
transcript.pyannote[1128].end 6587.77784375
transcript.pyannote[1129].speaker SPEAKER_18
transcript.pyannote[1129].start 6576.03284375
transcript.pyannote[1129].end 6576.18471875
transcript.pyannote[1130].speaker SPEAKER_24
transcript.pyannote[1130].start 6576.18471875
transcript.pyannote[1130].end 6576.31971875
transcript.pyannote[1131].speaker SPEAKER_18
transcript.pyannote[1131].start 6576.31971875
transcript.pyannote[1131].end 6576.45471875
transcript.pyannote[1132].speaker SPEAKER_24
transcript.pyannote[1132].start 6582.20909375
transcript.pyannote[1132].end 6583.37346875
transcript.pyannote[1133].speaker SPEAKER_41
transcript.pyannote[1133].start 6587.79471875
transcript.pyannote[1133].end 6587.81159375
transcript.pyannote[1134].speaker SPEAKER_24
transcript.pyannote[1134].start 6587.81159375
transcript.pyannote[1134].end 6587.82846875
transcript.pyannote[1135].speaker SPEAKER_41
transcript.pyannote[1135].start 6587.82846875
transcript.pyannote[1135].end 6587.94659375
transcript.pyannote[1136].speaker SPEAKER_24
transcript.pyannote[1136].start 6587.94659375
transcript.pyannote[1136].end 6588.62159375
transcript.pyannote[1137].speaker SPEAKER_41
transcript.pyannote[1137].start 6588.62159375
transcript.pyannote[1137].end 6590.74784375
transcript.pyannote[1138].speaker SPEAKER_24
transcript.pyannote[1138].start 6589.04346875
transcript.pyannote[1138].end 6589.19534375
transcript.pyannote[1139].speaker SPEAKER_24
transcript.pyannote[1139].start 6589.97159375
transcript.pyannote[1139].end 6590.02221875
transcript.pyannote[1140].speaker SPEAKER_18
transcript.pyannote[1140].start 6590.02221875
transcript.pyannote[1140].end 6597.61596875
transcript.pyannote[1141].speaker SPEAKER_18
transcript.pyannote[1141].start 6597.71721875
transcript.pyannote[1141].end 6601.86846875
transcript.pyannote[1142].speaker SPEAKER_18
transcript.pyannote[1142].start 6601.91909375
transcript.pyannote[1142].end 6601.95284375
transcript.pyannote[1143].speaker SPEAKER_18
transcript.pyannote[1143].start 6602.02034375
transcript.pyannote[1143].end 6604.12971875
transcript.pyannote[1144].speaker SPEAKER_18
transcript.pyannote[1144].start 6604.45034375
transcript.pyannote[1144].end 6608.83784375
transcript.pyannote[1145].speaker SPEAKER_24
transcript.pyannote[1145].start 6608.83784375
transcript.pyannote[1145].end 6609.10784375
transcript.pyannote[1146].speaker SPEAKER_18
transcript.pyannote[1146].start 6609.10784375
transcript.pyannote[1146].end 6609.17534375
transcript.pyannote[1147].speaker SPEAKER_18
transcript.pyannote[1147].start 6609.22596875
transcript.pyannote[1147].end 6618.10221875
transcript.pyannote[1148].speaker SPEAKER_18
transcript.pyannote[1148].start 6618.45659375
transcript.pyannote[1148].end 6621.10596875
transcript.pyannote[1149].speaker SPEAKER_18
transcript.pyannote[1149].start 6621.54471875
transcript.pyannote[1149].end 6627.18096875
transcript.pyannote[1150].speaker SPEAKER_09
transcript.pyannote[1150].start 6622.23659375
transcript.pyannote[1150].end 6622.25346875
transcript.pyannote[1151].speaker SPEAKER_09
transcript.pyannote[1151].start 6622.30409375
transcript.pyannote[1151].end 6622.60784375
transcript.pyannote[1152].speaker SPEAKER_09
transcript.pyannote[1152].start 6623.06346875
transcript.pyannote[1152].end 6623.19846875
transcript.pyannote[1153].speaker SPEAKER_15
transcript.pyannote[1153].start 6623.19846875
transcript.pyannote[1153].end 6623.24909375
transcript.pyannote[1154].speaker SPEAKER_09
transcript.pyannote[1154].start 6623.24909375
transcript.pyannote[1154].end 6623.43471875
transcript.pyannote[1155].speaker SPEAKER_15
transcript.pyannote[1155].start 6623.43471875
transcript.pyannote[1155].end 6624.19409375
transcript.pyannote[1156].speaker SPEAKER_09
transcript.pyannote[1156].start 6624.19409375
transcript.pyannote[1156].end 6624.78471875
transcript.pyannote[1157].speaker SPEAKER_15
transcript.pyannote[1157].start 6624.78471875
transcript.pyannote[1157].end 6626.50596875
transcript.pyannote[1158].speaker SPEAKER_09
transcript.pyannote[1158].start 6626.50596875
transcript.pyannote[1158].end 6627.13034375
transcript.pyannote[1159].speaker SPEAKER_09
transcript.pyannote[1159].start 6627.18096875
transcript.pyannote[1159].end 6627.28221875
transcript.pyannote[1160].speaker SPEAKER_15
transcript.pyannote[1160].start 6627.72096875
transcript.pyannote[1160].end 6628.95284375
transcript.pyannote[1161].speaker SPEAKER_24
transcript.pyannote[1161].start 6628.95284375
transcript.pyannote[1161].end 6629.03721875
transcript.pyannote[1162].speaker SPEAKER_15
transcript.pyannote[1162].start 6628.98659375
transcript.pyannote[1162].end 6629.00346875
transcript.pyannote[1163].speaker SPEAKER_18
transcript.pyannote[1163].start 6629.00346875
transcript.pyannote[1163].end 6637.13721875
transcript.pyannote[1164].speaker SPEAKER_15
transcript.pyannote[1164].start 6629.03721875
transcript.pyannote[1164].end 6629.07096875
transcript.pyannote[1165].speaker SPEAKER_09
transcript.pyannote[1165].start 6629.07096875
transcript.pyannote[1165].end 6629.37471875
transcript.pyannote[1166].speaker SPEAKER_15
transcript.pyannote[1166].start 6636.64784375
transcript.pyannote[1166].end 6636.91784375
transcript.pyannote[1167].speaker SPEAKER_24
transcript.pyannote[1167].start 6636.91784375
transcript.pyannote[1167].end 6637.03596875
transcript.pyannote[1168].speaker SPEAKER_24
transcript.pyannote[1168].start 6637.13721875
transcript.pyannote[1168].end 6637.96409375
transcript.pyannote[1169].speaker SPEAKER_18
transcript.pyannote[1169].start 6637.96409375
transcript.pyannote[1169].end 6638.99346875
transcript.pyannote[1170].speaker SPEAKER_15
transcript.pyannote[1170].start 6638.36909375
transcript.pyannote[1170].end 6638.92596875
transcript.pyannote[1171].speaker SPEAKER_15
transcript.pyannote[1171].start 6638.99346875
transcript.pyannote[1171].end 6641.87909375
transcript.pyannote[1172].speaker SPEAKER_18
transcript.pyannote[1172].start 6641.87909375
transcript.pyannote[1172].end 6642.90846875
transcript.pyannote[1173].speaker SPEAKER_15
transcript.pyannote[1173].start 6641.91284375
transcript.pyannote[1173].end 6642.31784375
transcript.pyannote[1174].speaker SPEAKER_15
transcript.pyannote[1174].start 6642.33471875
transcript.pyannote[1174].end 6642.38534375
transcript.pyannote[1175].speaker SPEAKER_18
transcript.pyannote[1175].start 6645.89534375
transcript.pyannote[1175].end 6648.88221875
transcript.pyannote[1176].speaker SPEAKER_18
transcript.pyannote[1176].start 6649.27034375
transcript.pyannote[1176].end 6651.86909375
transcript.pyannote[1177].speaker SPEAKER_18
transcript.pyannote[1177].start 6652.10534375
transcript.pyannote[1177].end 6653.03346875
transcript.pyannote[1178].speaker SPEAKER_17
transcript.pyannote[1178].start 6653.03346875
transcript.pyannote[1178].end 6653.32034375
transcript.pyannote[1179].speaker SPEAKER_17
transcript.pyannote[1179].start 6654.07971875
transcript.pyannote[1179].end 6695.01846875
transcript.pyannote[1180].speaker SPEAKER_18
transcript.pyannote[1180].start 6695.79471875
transcript.pyannote[1180].end 6703.40534375
transcript.pyannote[1181].speaker SPEAKER_18
transcript.pyannote[1181].start 6703.67534375
transcript.pyannote[1181].end 6711.37034375
transcript.pyannote[1182].speaker SPEAKER_24
transcript.pyannote[1182].start 6710.77971875
transcript.pyannote[1182].end 6712.46721875
transcript.pyannote[1183].speaker SPEAKER_18
transcript.pyannote[1183].start 6712.09596875
transcript.pyannote[1183].end 6712.66971875
transcript.pyannote[1184].speaker SPEAKER_18
transcript.pyannote[1184].start 6713.34471875
transcript.pyannote[1184].end 6720.36471875
transcript.pyannote[1185].speaker SPEAKER_24
transcript.pyannote[1185].start 6720.51659375
transcript.pyannote[1185].end 6720.92159375
transcript.pyannote[1186].speaker SPEAKER_18
transcript.pyannote[1186].start 6720.92159375
transcript.pyannote[1186].end 6720.95534375
transcript.pyannote[1187].speaker SPEAKER_14
transcript.pyannote[1187].start 6720.95534375
transcript.pyannote[1187].end 6725.02221875
transcript.pyannote[1188].speaker SPEAKER_14
transcript.pyannote[1188].start 6725.35971875
transcript.pyannote[1188].end 6728.86971875
transcript.pyannote[1189].speaker SPEAKER_14
transcript.pyannote[1189].start 6729.08909375
transcript.pyannote[1189].end 6729.13971875
transcript.pyannote[1190].speaker SPEAKER_04
transcript.pyannote[1190].start 6729.13971875
transcript.pyannote[1190].end 6729.15659375
transcript.pyannote[1191].speaker SPEAKER_14
transcript.pyannote[1191].start 6729.15659375
transcript.pyannote[1191].end 6733.76346875
transcript.pyannote[1192].speaker SPEAKER_14
transcript.pyannote[1192].start 6734.52284375
transcript.pyannote[1192].end 6739.02846875
transcript.pyannote[1193].speaker SPEAKER_18
transcript.pyannote[1193].start 6739.02846875
transcript.pyannote[1193].end 6740.14221875
transcript.pyannote[1194].speaker SPEAKER_14
transcript.pyannote[1194].start 6740.14221875
transcript.pyannote[1194].end 6740.15909375
transcript.pyannote[1195].speaker SPEAKER_18
transcript.pyannote[1195].start 6740.15909375
transcript.pyannote[1195].end 6740.27721875
transcript.pyannote[1196].speaker SPEAKER_14
transcript.pyannote[1196].start 6740.27721875
transcript.pyannote[1196].end 6740.31096875
transcript.pyannote[1197].speaker SPEAKER_18
transcript.pyannote[1197].start 6740.31096875
transcript.pyannote[1197].end 6746.31846875
transcript.pyannote[1198].speaker SPEAKER_06
transcript.pyannote[1198].start 6746.95971875
transcript.pyannote[1198].end 6747.98909375
transcript.pyannote[1199].speaker SPEAKER_06
transcript.pyannote[1199].start 6749.94659375
transcript.pyannote[1199].end 6779.39346875
transcript.pyannote[1200].speaker SPEAKER_06
transcript.pyannote[1200].start 6779.69721875
transcript.pyannote[1200].end 6841.76346875
transcript.pyannote[1201].speaker SPEAKER_24
transcript.pyannote[1201].start 6795.81284375
transcript.pyannote[1201].end 6796.11659375
transcript.pyannote[1202].speaker SPEAKER_24
transcript.pyannote[1202].start 6803.27159375
transcript.pyannote[1202].end 6804.18284375
transcript.pyannote[1203].speaker SPEAKER_24
transcript.pyannote[1203].start 6842.32034375
transcript.pyannote[1203].end 6843.82221875
transcript.pyannote[1204].speaker SPEAKER_06
transcript.pyannote[1204].start 6844.29471875
transcript.pyannote[1204].end 6845.03721875
transcript.pyannote[1205].speaker SPEAKER_05
transcript.pyannote[1205].start 6845.03721875
transcript.pyannote[1205].end 6848.27721875
transcript.pyannote[1206].speaker SPEAKER_24
transcript.pyannote[1206].start 6848.00721875
transcript.pyannote[1206].end 6848.61471875
transcript.pyannote[1207].speaker SPEAKER_05
transcript.pyannote[1207].start 6848.61471875
transcript.pyannote[1207].end 6851.02784375
transcript.pyannote[1208].speaker SPEAKER_05
transcript.pyannote[1208].start 6851.41596875
transcript.pyannote[1208].end 6875.93534375
transcript.pyannote[1209].speaker SPEAKER_05
transcript.pyannote[1209].start 6876.71159375
transcript.pyannote[1209].end 6877.03221875
transcript.pyannote[1210].speaker SPEAKER_05
transcript.pyannote[1210].start 6877.70721875
transcript.pyannote[1210].end 6913.02659375
transcript.pyannote[1211].speaker SPEAKER_24
transcript.pyannote[1211].start 6903.71159375
transcript.pyannote[1211].end 6903.79596875
transcript.pyannote[1212].speaker SPEAKER_24
transcript.pyannote[1212].start 6912.95909375
transcript.pyannote[1212].end 6913.43159375
transcript.pyannote[1213].speaker SPEAKER_05
transcript.pyannote[1213].start 6913.24596875
transcript.pyannote[1213].end 6925.36221875
transcript.pyannote[1214].speaker SPEAKER_24
transcript.pyannote[1214].start 6916.95846875
transcript.pyannote[1214].end 6917.04284375
transcript.pyannote[1215].speaker SPEAKER_24
transcript.pyannote[1215].start 6925.56471875
transcript.pyannote[1215].end 6925.81784375
transcript.pyannote[1216].speaker SPEAKER_05
transcript.pyannote[1216].start 6925.68284375
transcript.pyannote[1216].end 6928.46721875
transcript.pyannote[1217].speaker SPEAKER_05
transcript.pyannote[1217].start 6928.72034375
transcript.pyannote[1217].end 6935.90909375
transcript.pyannote[1218].speaker SPEAKER_05
transcript.pyannote[1218].start 6936.78659375
transcript.pyannote[1218].end 6956.64846875
transcript.pyannote[1219].speaker SPEAKER_07
transcript.pyannote[1219].start 6943.33409375
transcript.pyannote[1219].end 6943.53659375
transcript.pyannote[1220].speaker SPEAKER_05
transcript.pyannote[1220].start 6957.40784375
transcript.pyannote[1220].end 6960.49596875
transcript.pyannote[1221].speaker SPEAKER_24
transcript.pyannote[1221].start 6960.39471875
transcript.pyannote[1221].end 6960.98534375
transcript.pyannote[1222].speaker SPEAKER_05
transcript.pyannote[1222].start 6961.72784375
transcript.pyannote[1222].end 6962.55471875
transcript.pyannote[1223].speaker SPEAKER_37
transcript.pyannote[1223].start 6962.55471875
transcript.pyannote[1223].end 6962.67284375
transcript.pyannote[1224].speaker SPEAKER_05
transcript.pyannote[1224].start 6963.21284375
transcript.pyannote[1224].end 6963.29721875
transcript.pyannote[1225].speaker SPEAKER_37
transcript.pyannote[1225].start 6963.29721875
transcript.pyannote[1225].end 7092.49221875
transcript.pyannote[1226].speaker SPEAKER_37
transcript.pyannote[1226].start 7092.77909375
transcript.pyannote[1226].end 7188.91596875
transcript.pyannote[1227].speaker SPEAKER_37
transcript.pyannote[1227].start 7190.31659375
transcript.pyannote[1227].end 7190.33346875
transcript.pyannote[1228].speaker SPEAKER_41
transcript.pyannote[1228].start 7190.33346875
transcript.pyannote[1228].end 7191.70034375
transcript.pyannote[1229].speaker SPEAKER_41
transcript.pyannote[1229].start 7192.02096875
transcript.pyannote[1229].end 7193.23596875
transcript.pyannote[1230].speaker SPEAKER_41
transcript.pyannote[1230].start 7194.13034375
transcript.pyannote[1230].end 7234.41096875
transcript.pyannote[1231].speaker SPEAKER_06
transcript.pyannote[1231].start 7202.68596875
transcript.pyannote[1231].end 7203.02346875
transcript.pyannote[1232].speaker SPEAKER_06
transcript.pyannote[1232].start 7205.43659375
transcript.pyannote[1232].end 7205.74034375
transcript.pyannote[1233].speaker SPEAKER_00
transcript.pyannote[1233].start 7213.55346875
transcript.pyannote[1233].end 7213.58721875
transcript.pyannote[1234].speaker SPEAKER_10
transcript.pyannote[1234].start 7231.05284375
transcript.pyannote[1234].end 7232.36909375
transcript.pyannote[1235].speaker SPEAKER_24
transcript.pyannote[1235].start 7232.36909375
transcript.pyannote[1235].end 7232.58846875
transcript.pyannote[1236].speaker SPEAKER_24
transcript.pyannote[1236].start 7232.99346875
transcript.pyannote[1236].end 7233.66846875
transcript.pyannote[1237].speaker SPEAKER_10
transcript.pyannote[1237].start 7234.00596875
transcript.pyannote[1237].end 7257.05721875
transcript.pyannote[1238].speaker SPEAKER_00
transcript.pyannote[1238].start 7252.68659375
transcript.pyannote[1238].end 7253.12534375
transcript.pyannote[1239].speaker SPEAKER_10
transcript.pyannote[1239].start 7257.31034375
transcript.pyannote[1239].end 7295.95409375
transcript.pyannote[1240].speaker SPEAKER_10
transcript.pyannote[1240].start 7296.39284375
transcript.pyannote[1240].end 7319.83221875
transcript.pyannote[1241].speaker SPEAKER_10
transcript.pyannote[1241].start 7319.98409375
transcript.pyannote[1241].end 7321.38471875
transcript.pyannote[1242].speaker SPEAKER_10
transcript.pyannote[1242].start 7321.94159375
transcript.pyannote[1242].end 7325.06346875
transcript.pyannote[1243].speaker SPEAKER_10
transcript.pyannote[1243].start 7325.35034375
transcript.pyannote[1243].end 7327.94909375
transcript.pyannote[1244].speaker SPEAKER_10
transcript.pyannote[1244].start 7328.03346875
transcript.pyannote[1244].end 7335.66096875
transcript.pyannote[1245].speaker SPEAKER_24
transcript.pyannote[1245].start 7335.66096875
transcript.pyannote[1245].end 7336.70721875
transcript.pyannote[1246].speaker SPEAKER_10
transcript.pyannote[1246].start 7336.69034375
transcript.pyannote[1246].end 7336.94346875
transcript.pyannote[1247].speaker SPEAKER_17
transcript.pyannote[1247].start 7336.70721875
transcript.pyannote[1247].end 7345.71846875
transcript.pyannote[1248].speaker SPEAKER_24
transcript.pyannote[1248].start 7336.94346875
transcript.pyannote[1248].end 7336.96034375
transcript.pyannote[1249].speaker SPEAKER_10
transcript.pyannote[1249].start 7336.96034375
transcript.pyannote[1249].end 7336.97721875
transcript.pyannote[1250].speaker SPEAKER_24
transcript.pyannote[1250].start 7336.97721875
transcript.pyannote[1250].end 7337.06159375
transcript.pyannote[1251].speaker SPEAKER_10
transcript.pyannote[1251].start 7337.06159375
transcript.pyannote[1251].end 7337.19659375
transcript.pyannote[1252].speaker SPEAKER_17
transcript.pyannote[1252].start 7347.15284375
transcript.pyannote[1252].end 7364.93909375
transcript.pyannote[1253].speaker SPEAKER_18
transcript.pyannote[1253].start 7364.93909375
transcript.pyannote[1253].end 7366.82909375
transcript.pyannote[1254].speaker SPEAKER_17
transcript.pyannote[1254].start 7366.82909375
transcript.pyannote[1254].end 7366.86284375
transcript.pyannote[1255].speaker SPEAKER_18
transcript.pyannote[1255].start 7367.13284375
transcript.pyannote[1255].end 7369.93409375
transcript.pyannote[1256].speaker SPEAKER_16
transcript.pyannote[1256].start 7372.36409375
transcript.pyannote[1256].end 7378.62471875
transcript.pyannote[1257].speaker SPEAKER_08
transcript.pyannote[1257].start 7379.16471875
transcript.pyannote[1257].end 7379.87346875
transcript.pyannote[1258].speaker SPEAKER_16
transcript.pyannote[1258].start 7379.87346875
transcript.pyannote[1258].end 7388.59784375
transcript.pyannote[1259].speaker SPEAKER_16
transcript.pyannote[1259].start 7388.63159375
transcript.pyannote[1259].end 7388.64846875
transcript.pyannote[1260].speaker SPEAKER_24
transcript.pyannote[1260].start 7388.64846875
transcript.pyannote[1260].end 7389.12096875
transcript.pyannote[1261].speaker SPEAKER_16
transcript.pyannote[1261].start 7389.12096875
transcript.pyannote[1261].end 7390.03221875
transcript.pyannote[1262].speaker SPEAKER_18
transcript.pyannote[1262].start 7390.03221875
transcript.pyannote[1262].end 7390.45409375
transcript.pyannote[1263].speaker SPEAKER_16
transcript.pyannote[1263].start 7390.45409375
transcript.pyannote[1263].end 7390.75784375
transcript.pyannote[1264].speaker SPEAKER_18
transcript.pyannote[1264].start 7390.75784375
transcript.pyannote[1264].end 7400.71409375
transcript.pyannote[1265].speaker SPEAKER_04
transcript.pyannote[1265].start 7400.71409375
transcript.pyannote[1265].end 7424.11971875
transcript.pyannote[1266].speaker SPEAKER_24
transcript.pyannote[1266].start 7424.11971875
transcript.pyannote[1266].end 7424.52471875
transcript.pyannote[1267].speaker SPEAKER_04
transcript.pyannote[1267].start 7424.52471875
transcript.pyannote[1267].end 7486.70909375
transcript.pyannote[1268].speaker SPEAKER_24
transcript.pyannote[1268].start 7424.54159375
transcript.pyannote[1268].end 7424.60909375
transcript.pyannote[1269].speaker SPEAKER_18
transcript.pyannote[1269].start 7487.06346875
transcript.pyannote[1269].end 7491.23159375
transcript.pyannote[1270].speaker SPEAKER_18
transcript.pyannote[1270].start 7491.67034375
transcript.pyannote[1270].end 7494.13409375
transcript.pyannote[1271].speaker SPEAKER_18
transcript.pyannote[1271].start 7494.37034375
transcript.pyannote[1271].end 7499.46659375
transcript.pyannote[1272].speaker SPEAKER_18
transcript.pyannote[1272].start 7499.66909375
transcript.pyannote[1272].end 7503.09471875
transcript.pyannote[1273].speaker SPEAKER_27
transcript.pyannote[1273].start 7503.04409375
transcript.pyannote[1273].end 7510.21596875
transcript.pyannote[1274].speaker SPEAKER_18
transcript.pyannote[1274].start 7508.52846875
transcript.pyannote[1274].end 7508.98409375
transcript.pyannote[1275].speaker SPEAKER_18
transcript.pyannote[1275].start 7509.72659375
transcript.pyannote[1275].end 7512.02159375
transcript.pyannote[1276].speaker SPEAKER_27
transcript.pyannote[1276].start 7512.00471875
transcript.pyannote[1276].end 7517.40471875
transcript.pyannote[1277].speaker SPEAKER_18
transcript.pyannote[1277].start 7515.56534375
transcript.pyannote[1277].end 7516.22346875
transcript.pyannote[1278].speaker SPEAKER_18
transcript.pyannote[1278].start 7517.38784375
transcript.pyannote[1278].end 7517.42159375
transcript.pyannote[1279].speaker SPEAKER_07
transcript.pyannote[1279].start 7517.40471875
transcript.pyannote[1279].end 7519.24409375
transcript.pyannote[1280].speaker SPEAKER_24
transcript.pyannote[1280].start 7519.24409375
transcript.pyannote[1280].end 7519.26096875
transcript.pyannote[1281].speaker SPEAKER_24
transcript.pyannote[1281].start 7520.10471875
transcript.pyannote[1281].end 7521.03284375
transcript.pyannote[1282].speaker SPEAKER_24
transcript.pyannote[1282].start 7521.85971875
transcript.pyannote[1282].end 7521.96096875
transcript.pyannote[1283].speaker SPEAKER_07
transcript.pyannote[1283].start 7521.96096875
transcript.pyannote[1283].end 7526.28096875
transcript.pyannote[1284].speaker SPEAKER_24
transcript.pyannote[1284].start 7526.65221875
transcript.pyannote[1284].end 7527.22596875
transcript.pyannote[1285].speaker SPEAKER_07
transcript.pyannote[1285].start 7527.22596875
transcript.pyannote[1285].end 7531.96784375
transcript.pyannote[1286].speaker SPEAKER_24
transcript.pyannote[1286].start 7527.37784375
transcript.pyannote[1286].end 7527.58034375
transcript.pyannote[1287].speaker SPEAKER_18
transcript.pyannote[1287].start 7529.68971875
transcript.pyannote[1287].end 7529.97659375
transcript.pyannote[1288].speaker SPEAKER_18
transcript.pyannote[1288].start 7531.96784375
transcript.pyannote[1288].end 7532.05221875
transcript.pyannote[1289].speaker SPEAKER_07
transcript.pyannote[1289].start 7532.05221875
transcript.pyannote[1289].end 7532.22096875
transcript.pyannote[1290].speaker SPEAKER_07
transcript.pyannote[1290].start 7532.42346875
transcript.pyannote[1290].end 7535.14034375
transcript.pyannote[1291].speaker SPEAKER_18
transcript.pyannote[1291].start 7533.68909375
transcript.pyannote[1291].end 7534.24596875
transcript.pyannote[1292].speaker SPEAKER_18
transcript.pyannote[1292].start 7535.14034375
transcript.pyannote[1292].end 7535.78159375
transcript.pyannote[1293].speaker SPEAKER_07
transcript.pyannote[1293].start 7535.78159375
transcript.pyannote[1293].end 7536.33846875
transcript.pyannote[1294].speaker SPEAKER_07
transcript.pyannote[1294].start 7536.40596875
transcript.pyannote[1294].end 7539.07221875
transcript.pyannote[1295].speaker SPEAKER_18
transcript.pyannote[1295].start 7538.22846875
transcript.pyannote[1295].end 7538.95409375
transcript.pyannote[1296].speaker SPEAKER_18
transcript.pyannote[1296].start 7539.07221875
transcript.pyannote[1296].end 7541.58659375
transcript.pyannote[1297].speaker SPEAKER_07
transcript.pyannote[1297].start 7541.24909375
transcript.pyannote[1297].end 7544.37096875
transcript.pyannote[1298].speaker SPEAKER_18
transcript.pyannote[1298].start 7544.37096875
transcript.pyannote[1298].end 7550.39534375
transcript.pyannote[1299].speaker SPEAKER_07
transcript.pyannote[1299].start 7544.38784375
transcript.pyannote[1299].end 7544.84346875
transcript.pyannote[1300].speaker SPEAKER_18
transcript.pyannote[1300].start 7551.40784375
transcript.pyannote[1300].end 7552.97721875
transcript.pyannote[1301].speaker SPEAKER_09
transcript.pyannote[1301].start 7558.17471875
transcript.pyannote[1301].end 7558.30971875
transcript.pyannote[1302].speaker SPEAKER_18
transcript.pyannote[1302].start 7559.49096875
transcript.pyannote[1302].end 7561.58346875
transcript.pyannote[1303].speaker SPEAKER_18
transcript.pyannote[1303].start 7562.24159375
transcript.pyannote[1303].end 7563.99659375
transcript.pyannote[1304].speaker SPEAKER_18
transcript.pyannote[1304].start 7565.12721875
transcript.pyannote[1304].end 7566.59534375
transcript.pyannote[1305].speaker SPEAKER_18
transcript.pyannote[1305].start 7567.06784375
transcript.pyannote[1305].end 7568.55284375
transcript.pyannote[1306].speaker SPEAKER_08
transcript.pyannote[1306].start 7568.97471875
transcript.pyannote[1306].end 7576.31534375
transcript.pyannote[1307].speaker SPEAKER_18
transcript.pyannote[1307].start 7576.31534375
transcript.pyannote[1307].end 7576.36596875
transcript.pyannote[1308].speaker SPEAKER_18
transcript.pyannote[1308].start 7577.24346875
transcript.pyannote[1308].end 7577.85096875
transcript.pyannote[1309].speaker SPEAKER_18
transcript.pyannote[1309].start 7578.15471875
transcript.pyannote[1309].end 7582.98096875
transcript.pyannote[1310].speaker SPEAKER_18
transcript.pyannote[1310].start 7583.38596875
transcript.pyannote[1310].end 7588.43159375
transcript.pyannote[1311].speaker SPEAKER_18
transcript.pyannote[1311].start 7589.03909375
transcript.pyannote[1311].end 7593.24096875
transcript.pyannote[1312].speaker SPEAKER_18
transcript.pyannote[1312].start 7593.78096875
transcript.pyannote[1312].end 7596.10971875
transcript.pyannote[1313].speaker SPEAKER_18
transcript.pyannote[1313].start 7596.78471875
transcript.pyannote[1313].end 7598.94471875
transcript.pyannote[1314].speaker SPEAKER_18
transcript.pyannote[1314].start 7599.31596875
transcript.pyannote[1314].end 7622.80596875
transcript.pyannote[1315].speaker SPEAKER_18
transcript.pyannote[1315].start 7623.56534375
transcript.pyannote[1315].end 7641.80721875
transcript.pyannote[1316].speaker SPEAKER_18
transcript.pyannote[1316].start 7642.41471875
transcript.pyannote[1316].end 7643.08971875
transcript.pyannote[1317].speaker SPEAKER_18
transcript.pyannote[1317].start 7644.47346875
transcript.pyannote[1317].end 7646.07659375
transcript.pyannote[1318].speaker SPEAKER_18
transcript.pyannote[1318].start 7646.66721875
transcript.pyannote[1318].end 7647.27471875
transcript.pyannote[1319].speaker SPEAKER_18
transcript.pyannote[1319].start 7647.86534375
transcript.pyannote[1319].end 7648.97909375
transcript.pyannote[1320].speaker SPEAKER_18
transcript.pyannote[1320].start 7649.41784375
transcript.pyannote[1320].end 7654.64909375
transcript.pyannote[1321].speaker SPEAKER_18
transcript.pyannote[1321].start 7654.78409375
transcript.pyannote[1321].end 7656.25221875
transcript.pyannote[1322].speaker SPEAKER_18
transcript.pyannote[1322].start 7656.64034375
transcript.pyannote[1322].end 7662.02346875
transcript.pyannote[1323].speaker SPEAKER_18
transcript.pyannote[1323].start 7662.46221875
transcript.pyannote[1323].end 7665.19596875
transcript.pyannote[1324].speaker SPEAKER_18
transcript.pyannote[1324].start 7665.28034375
transcript.pyannote[1324].end 7666.68096875
transcript.pyannote[1325].speaker SPEAKER_18
transcript.pyannote[1325].start 7666.81596875
transcript.pyannote[1325].end 7667.52471875
transcript.pyannote[1326].speaker SPEAKER_18
transcript.pyannote[1326].start 7667.57534375
transcript.pyannote[1326].end 7668.52034375
transcript.pyannote[1327].speaker SPEAKER_18
transcript.pyannote[1327].start 7669.04346875
transcript.pyannote[1327].end 7669.43159375
transcript.pyannote[1328].speaker SPEAKER_18
transcript.pyannote[1328].start 7669.78596875
transcript.pyannote[1328].end 7670.98409375
transcript.pyannote[1329].speaker SPEAKER_18
transcript.pyannote[1329].start 7672.68846875
transcript.pyannote[1329].end 7674.34221875
transcript.pyannote[1330].speaker SPEAKER_18
transcript.pyannote[1330].start 7674.83159375
transcript.pyannote[1330].end 7676.56971875
transcript.pyannote[1331].speaker SPEAKER_18
transcript.pyannote[1331].start 7676.97471875
transcript.pyannote[1331].end 7677.90284375
transcript.pyannote[1332].speaker SPEAKER_18
transcript.pyannote[1332].start 7678.51034375
transcript.pyannote[1332].end 7679.96159375
transcript.pyannote[1333].speaker SPEAKER_18
transcript.pyannote[1333].start 7680.63659375
transcript.pyannote[1333].end 7681.88534375
transcript.pyannote[1334].speaker SPEAKER_18
transcript.pyannote[1334].start 7683.04971875
transcript.pyannote[1334].end 7683.62346875
transcript.pyannote[1335].speaker SPEAKER_18
transcript.pyannote[1335].start 7683.89346875
transcript.pyannote[1335].end 7685.22659375
transcript.pyannote[1336].speaker SPEAKER_18
transcript.pyannote[1336].start 7685.56409375
transcript.pyannote[1336].end 7686.01971875
transcript.pyannote[1337].speaker SPEAKER_18
transcript.pyannote[1337].start 7688.51721875
transcript.pyannote[1337].end 7691.74034375
transcript.pyannote[1338].speaker SPEAKER_18
transcript.pyannote[1338].start 7691.95971875
transcript.pyannote[1338].end 7696.02659375
transcript.pyannote[1339].speaker SPEAKER_18
transcript.pyannote[1339].start 7697.39346875
transcript.pyannote[1339].end 7698.03471875
transcript.pyannote[1340].speaker SPEAKER_18
transcript.pyannote[1340].start 7698.72659375
transcript.pyannote[1340].end 7699.03034375
transcript.pyannote[1341].speaker SPEAKER_18
transcript.pyannote[1341].start 7699.51971875
transcript.pyannote[1341].end 7700.05971875
transcript.pyannote[1342].speaker SPEAKER_05
transcript.pyannote[1342].start 7702.20284375
transcript.pyannote[1342].end 7705.37534375
transcript.pyannote[1343].speaker SPEAKER_05
transcript.pyannote[1343].start 7705.66221875
transcript.pyannote[1343].end 7708.12596875
transcript.pyannote[1344].speaker SPEAKER_05
transcript.pyannote[1344].start 7709.00346875
transcript.pyannote[1344].end 7728.37596875
transcript.pyannote[1345].speaker SPEAKER_18
transcript.pyannote[1345].start 7728.91596875
transcript.pyannote[1345].end 7733.57346875
transcript.pyannote[1346].speaker SPEAKER_18
transcript.pyannote[1346].start 7733.97846875
transcript.pyannote[1346].end 7735.12596875
transcript.pyannote[1347].speaker SPEAKER_18
transcript.pyannote[1347].start 7735.80096875
transcript.pyannote[1347].end 7736.03721875
transcript.pyannote[1348].speaker SPEAKER_17
transcript.pyannote[1348].start 7736.03721875
transcript.pyannote[1348].end 7738.61909375
transcript.pyannote[1349].speaker SPEAKER_17
transcript.pyannote[1349].start 7739.00721875
transcript.pyannote[1349].end 7741.21784375
transcript.pyannote[1350].speaker SPEAKER_17
transcript.pyannote[1350].start 7741.70721875
transcript.pyannote[1350].end 7760.35409375
transcript.pyannote[1351].speaker SPEAKER_17
transcript.pyannote[1351].start 7761.18096875
transcript.pyannote[1351].end 7767.57659375
transcript.pyannote[1352].speaker SPEAKER_17
transcript.pyannote[1352].start 7768.50471875
transcript.pyannote[1352].end 7769.44971875
transcript.pyannote[1353].speaker SPEAKER_17
transcript.pyannote[1353].start 7769.80409375
transcript.pyannote[1353].end 7772.18346875
transcript.pyannote[1354].speaker SPEAKER_17
transcript.pyannote[1354].start 7773.44909375
transcript.pyannote[1354].end 7776.95909375
transcript.pyannote[1355].speaker SPEAKER_17
transcript.pyannote[1355].start 7779.27096875
transcript.pyannote[1355].end 7781.43096875
transcript.pyannote[1356].speaker SPEAKER_17
transcript.pyannote[1356].start 7782.35909375
transcript.pyannote[1356].end 7784.55284375
transcript.pyannote[1357].speaker SPEAKER_17
transcript.pyannote[1357].start 7785.41346875
transcript.pyannote[1357].end 7786.84784375
transcript.pyannote[1358].speaker SPEAKER_18
transcript.pyannote[1358].start 7786.84784375
transcript.pyannote[1358].end 7786.89846875
transcript.pyannote[1359].speaker SPEAKER_18
transcript.pyannote[1359].start 7788.34971875
transcript.pyannote[1359].end 7789.10909375
transcript.pyannote[1360].speaker SPEAKER_18
transcript.pyannote[1360].start 7789.95284375
transcript.pyannote[1360].end 7791.03284375
transcript.pyannote[1361].speaker SPEAKER_18
transcript.pyannote[1361].start 7791.50534375
transcript.pyannote[1361].end 7798.84596875
transcript.pyannote[1362].speaker SPEAKER_18
transcript.pyannote[1362].start 7799.35221875
transcript.pyannote[1362].end 7799.94284375
transcript.pyannote[1363].speaker SPEAKER_18
transcript.pyannote[1363].start 7800.60096875
transcript.pyannote[1363].end 7801.46159375
transcript.pyannote[1364].speaker SPEAKER_18
transcript.pyannote[1364].start 7802.18721875
transcript.pyannote[1364].end 7803.30096875
transcript.pyannote[1365].speaker SPEAKER_18
transcript.pyannote[1365].start 7803.62159375
transcript.pyannote[1365].end 7806.08534375
transcript.pyannote[1366].speaker SPEAKER_18
transcript.pyannote[1366].start 7807.03034375
transcript.pyannote[1366].end 7809.84846875
transcript.pyannote[1367].speaker SPEAKER_18
transcript.pyannote[1367].start 7810.11846875
transcript.pyannote[1367].end 7816.02471875
transcript.pyannote[1368].speaker SPEAKER_05
transcript.pyannote[1368].start 7816.02471875
transcript.pyannote[1368].end 7816.56471875
transcript.pyannote[1369].speaker SPEAKER_05
transcript.pyannote[1369].start 7817.47596875
transcript.pyannote[1369].end 7818.04971875
transcript.pyannote[1370].speaker SPEAKER_18
transcript.pyannote[1370].start 7818.04971875
transcript.pyannote[1370].end 7818.23534375
transcript.pyannote[1371].speaker SPEAKER_05
transcript.pyannote[1371].start 7818.23534375
transcript.pyannote[1371].end 7818.30284375
transcript.pyannote[1372].speaker SPEAKER_18
transcript.pyannote[1372].start 7818.30284375
transcript.pyannote[1372].end 7818.31971875
transcript.pyannote[1373].speaker SPEAKER_05
transcript.pyannote[1373].start 7818.31971875
transcript.pyannote[1373].end 7821.79596875
transcript.pyannote[1374].speaker SPEAKER_18
transcript.pyannote[1374].start 7821.79596875
transcript.pyannote[1374].end 7821.82971875
transcript.pyannote[1375].speaker SPEAKER_18
transcript.pyannote[1375].start 7822.21784375
transcript.pyannote[1375].end 7822.23471875
transcript.pyannote[1376].speaker SPEAKER_05
transcript.pyannote[1376].start 7822.23471875
transcript.pyannote[1376].end 7822.25159375
transcript.pyannote[1377].speaker SPEAKER_18
transcript.pyannote[1377].start 7822.25159375
transcript.pyannote[1377].end 7822.60596875
transcript.pyannote[1378].speaker SPEAKER_18
transcript.pyannote[1378].start 7822.94346875
transcript.pyannote[1378].end 7823.28096875
transcript.pyannote[1379].speaker SPEAKER_18
transcript.pyannote[1379].start 7825.74471875
transcript.pyannote[1379].end 7827.78659375
transcript.pyannote[1380].speaker SPEAKER_18
transcript.pyannote[1380].start 7828.22534375
transcript.pyannote[1380].end 7834.08096875
transcript.pyannote[1381].speaker SPEAKER_18
transcript.pyannote[1381].start 7836.20721875
transcript.pyannote[1381].end 7836.94971875
transcript.pyannote[1382].speaker SPEAKER_41
transcript.pyannote[1382].start 7837.40534375
transcript.pyannote[1382].end 7837.82721875
transcript.pyannote[1383].speaker SPEAKER_41
transcript.pyannote[1383].start 7838.28284375
transcript.pyannote[1383].end 7846.21409375
transcript.pyannote[1384].speaker SPEAKER_18
transcript.pyannote[1384].start 7839.19409375
transcript.pyannote[1384].end 7841.65784375
transcript.pyannote[1385].speaker SPEAKER_18
transcript.pyannote[1385].start 7844.05409375
transcript.pyannote[1385].end 7845.01596875
transcript.pyannote[1386].speaker SPEAKER_18
transcript.pyannote[1386].start 7845.15096875
transcript.pyannote[1386].end 7853.85846875
transcript.pyannote[1387].speaker SPEAKER_18
transcript.pyannote[1387].start 7854.41534375
transcript.pyannote[1387].end 7854.43221875
transcript.pyannote[1388].speaker SPEAKER_14
transcript.pyannote[1388].start 7854.43221875
transcript.pyannote[1388].end 7854.80346875
transcript.pyannote[1389].speaker SPEAKER_14
transcript.pyannote[1389].start 7855.52909375
transcript.pyannote[1389].end 7856.76096875
transcript.pyannote[1390].speaker SPEAKER_18
transcript.pyannote[1390].start 7856.76096875
transcript.pyannote[1390].end 7856.77784375
transcript.pyannote[1391].speaker SPEAKER_18
transcript.pyannote[1391].start 7856.91284375
transcript.pyannote[1391].end 7856.94659375
transcript.pyannote[1392].speaker SPEAKER_14
transcript.pyannote[1392].start 7856.94659375
transcript.pyannote[1392].end 7858.76909375
transcript.pyannote[1393].speaker SPEAKER_18
transcript.pyannote[1393].start 7858.76909375
transcript.pyannote[1393].end 7858.78596875
transcript.pyannote[1394].speaker SPEAKER_14
transcript.pyannote[1394].start 7859.35971875
transcript.pyannote[1394].end 7860.03471875
transcript.pyannote[1395].speaker SPEAKER_18
transcript.pyannote[1395].start 7860.03471875
transcript.pyannote[1395].end 7860.67596875
transcript.pyannote[1396].speaker SPEAKER_18
transcript.pyannote[1396].start 7862.34659375
transcript.pyannote[1396].end 7863.91596875
transcript.pyannote[1397].speaker SPEAKER_18
transcript.pyannote[1397].start 7863.96659375
transcript.pyannote[1397].end 7863.98346875
transcript.pyannote[1398].speaker SPEAKER_18
transcript.pyannote[1398].start 7864.50659375
transcript.pyannote[1398].end 7869.46784375
transcript.pyannote[1399].speaker SPEAKER_18
transcript.pyannote[1399].start 7869.85596875
transcript.pyannote[1399].end 7882.02284375
transcript.pyannote[1400].speaker SPEAKER_18
transcript.pyannote[1400].start 7882.76534375
transcript.pyannote[1400].end 7884.30096875
transcript.pyannote[1401].speaker SPEAKER_18
transcript.pyannote[1401].start 7884.84096875
transcript.pyannote[1401].end 7888.16534375
transcript.pyannote[1402].speaker SPEAKER_18
transcript.pyannote[1402].start 7888.58721875
transcript.pyannote[1402].end 7890.05534375
transcript.pyannote[1403].speaker SPEAKER_18
transcript.pyannote[1403].start 7890.57846875
transcript.pyannote[1403].end 7891.92846875
transcript.pyannote[1404].speaker SPEAKER_18
transcript.pyannote[1404].start 7892.50221875
transcript.pyannote[1404].end 7895.80971875
transcript.pyannote[1405].speaker SPEAKER_18
transcript.pyannote[1405].start 7896.48471875
transcript.pyannote[1405].end 7897.54784375
transcript.pyannote[1406].speaker SPEAKER_29
transcript.pyannote[1406].start 7898.56034375
transcript.pyannote[1406].end 8002.20659375
transcript.pyannote[1407].speaker SPEAKER_29
transcript.pyannote[1407].start 8002.98284375
transcript.pyannote[1407].end 8080.92846875
transcript.pyannote[1408].speaker SPEAKER_37
transcript.pyannote[1408].start 8081.65409375
transcript.pyannote[1408].end 8082.85221875
transcript.pyannote[1409].speaker SPEAKER_37
transcript.pyannote[1409].start 8083.91534375
transcript.pyannote[1409].end 8125.64721875
transcript.pyannote[1410].speaker SPEAKER_37
transcript.pyannote[1410].start 8126.27159375
transcript.pyannote[1410].end 8142.55596875
transcript.pyannote[1411].speaker SPEAKER_18
transcript.pyannote[1411].start 8145.71159375
transcript.pyannote[1411].end 8145.72846875
transcript.pyannote[1412].speaker SPEAKER_17
transcript.pyannote[1412].start 8145.72846875
transcript.pyannote[1412].end 8146.03221875
transcript.pyannote[1413].speaker SPEAKER_18
transcript.pyannote[1413].start 8146.03221875
transcript.pyannote[1413].end 8146.06596875
transcript.pyannote[1414].speaker SPEAKER_17
transcript.pyannote[1414].start 8146.06596875
transcript.pyannote[1414].end 8146.92659375
transcript.pyannote[1415].speaker SPEAKER_18
transcript.pyannote[1415].start 8146.92659375
transcript.pyannote[1415].end 8146.97721875
transcript.pyannote[1416].speaker SPEAKER_17
transcript.pyannote[1416].start 8148.54659375
transcript.pyannote[1416].end 8158.38471875
transcript.pyannote[1417].speaker SPEAKER_17
transcript.pyannote[1417].start 8158.77284375
transcript.pyannote[1417].end 8159.29596875
transcript.pyannote[1418].speaker SPEAKER_18
transcript.pyannote[1418].start 8161.77659375
transcript.pyannote[1418].end 8164.22346875
transcript.pyannote[1419].speaker SPEAKER_18
transcript.pyannote[1419].start 8164.52721875
transcript.pyannote[1419].end 8166.38346875
transcript.pyannote[1420].speaker SPEAKER_18
transcript.pyannote[1420].start 8167.05846875
transcript.pyannote[1420].end 8177.25096875
transcript.pyannote[1421].speaker SPEAKER_18
transcript.pyannote[1421].start 8178.98909375
transcript.pyannote[1421].end 8179.81596875
transcript.pyannote[1422].speaker SPEAKER_18
transcript.pyannote[1422].start 8180.54159375
transcript.pyannote[1422].end 8180.92971875
transcript.pyannote[1423].speaker SPEAKER_18
transcript.pyannote[1423].start 8181.52034375
transcript.pyannote[1423].end 8189.56971875
transcript.pyannote[1424].speaker SPEAKER_29
transcript.pyannote[1424].start 8190.56534375
transcript.pyannote[1424].end 8196.70784375
transcript.pyannote[1425].speaker SPEAKER_18
transcript.pyannote[1425].start 8191.18971875
transcript.pyannote[1425].end 8192.16846875
transcript.pyannote[1426].speaker SPEAKER_41
transcript.pyannote[1426].start 8192.67471875
transcript.pyannote[1426].end 8192.89409375
transcript.pyannote[1427].speaker SPEAKER_18
transcript.pyannote[1427].start 8192.89409375
transcript.pyannote[1427].end 8193.02909375
transcript.pyannote[1428].speaker SPEAKER_41
transcript.pyannote[1428].start 8193.02909375
transcript.pyannote[1428].end 8193.46784375
transcript.pyannote[1429].speaker SPEAKER_41
transcript.pyannote[1429].start 8194.14284375
transcript.pyannote[1429].end 8221.78409375
transcript.pyannote[1430].speaker SPEAKER_18
transcript.pyannote[1430].start 8196.70784375
transcript.pyannote[1430].end 8196.97784375
transcript.pyannote[1431].speaker SPEAKER_08
transcript.pyannote[1431].start 8196.97784375
transcript.pyannote[1431].end 8197.23096875
transcript.pyannote[1432].speaker SPEAKER_18
transcript.pyannote[1432].start 8197.23096875
transcript.pyannote[1432].end 8197.24784375
transcript.pyannote[1433].speaker SPEAKER_24
transcript.pyannote[1433].start 8221.78409375
transcript.pyannote[1433].end 8222.74596875
transcript.pyannote[1434].speaker SPEAKER_40
transcript.pyannote[1434].start 8223.03284375
transcript.pyannote[1434].end 8223.37034375
transcript.pyannote[1435].speaker SPEAKER_24
transcript.pyannote[1435].start 8223.37034375
transcript.pyannote[1435].end 8223.45471875
transcript.pyannote[1436].speaker SPEAKER_40
transcript.pyannote[1436].start 8223.45471875
transcript.pyannote[1436].end 8223.53909375
transcript.pyannote[1437].speaker SPEAKER_24
transcript.pyannote[1437].start 8223.53909375
transcript.pyannote[1437].end 8223.60659375
transcript.pyannote[1438].speaker SPEAKER_41
transcript.pyannote[1438].start 8223.60659375
transcript.pyannote[1438].end 8229.42846875
transcript.pyannote[1439].speaker SPEAKER_40
transcript.pyannote[1439].start 8223.79221875
transcript.pyannote[1439].end 8223.97784375
transcript.pyannote[1440].speaker SPEAKER_40
transcript.pyannote[1440].start 8224.02846875
transcript.pyannote[1440].end 8224.14659375
transcript.pyannote[1441].speaker SPEAKER_40
transcript.pyannote[1441].start 8224.75409375
transcript.pyannote[1441].end 8225.02409375
transcript.pyannote[1442].speaker SPEAKER_40
transcript.pyannote[1442].start 8226.15471875
transcript.pyannote[1442].end 8227.30221875
transcript.pyannote[1443].speaker SPEAKER_40
transcript.pyannote[1443].start 8227.72409375
transcript.pyannote[1443].end 8231.03159375
transcript.pyannote[1444].speaker SPEAKER_40
transcript.pyannote[1444].start 8231.31846875
transcript.pyannote[1444].end 8233.02284375
transcript.pyannote[1445].speaker SPEAKER_40
transcript.pyannote[1445].start 8233.05659375
transcript.pyannote[1445].end 8233.07346875
transcript.pyannote[1446].speaker SPEAKER_40
transcript.pyannote[1446].start 8233.10721875
transcript.pyannote[1446].end 8234.03534375
transcript.pyannote[1447].speaker SPEAKER_40
transcript.pyannote[1447].start 8236.39784375
transcript.pyannote[1447].end 8237.68034375
transcript.pyannote[1448].speaker SPEAKER_18
transcript.pyannote[1448].start 8241.47721875
transcript.pyannote[1448].end 8243.82284375
transcript.pyannote[1449].speaker SPEAKER_04
transcript.pyannote[1449].start 8246.11784375
transcript.pyannote[1449].end 8246.35409375
transcript.pyannote[1450].speaker SPEAKER_04
transcript.pyannote[1450].start 8246.97846875
transcript.pyannote[1450].end 8249.08784375
transcript.pyannote[1451].speaker SPEAKER_04
transcript.pyannote[1451].start 8249.54346875
transcript.pyannote[1451].end 8287.14096875
transcript.pyannote[1452].speaker SPEAKER_08
transcript.pyannote[1452].start 8289.63846875
transcript.pyannote[1452].end 8290.11096875
transcript.pyannote[1453].speaker SPEAKER_08
transcript.pyannote[1453].start 8290.33034375
transcript.pyannote[1453].end 8290.76909375
transcript.pyannote[1454].speaker SPEAKER_32
transcript.pyannote[1454].start 8296.45596875
transcript.pyannote[1454].end 8331.99471875
transcript.pyannote[1455].speaker SPEAKER_04
transcript.pyannote[1455].start 8332.18034375
transcript.pyannote[1455].end 8384.88096875
transcript.pyannote[1456].speaker SPEAKER_04
transcript.pyannote[1456].start 8387.61471875
transcript.pyannote[1456].end 8387.95221875
transcript.pyannote[1457].speaker SPEAKER_18
transcript.pyannote[1457].start 8387.95221875
transcript.pyannote[1457].end 8388.03659375
transcript.pyannote[1458].speaker SPEAKER_04
transcript.pyannote[1458].start 8388.49221875
transcript.pyannote[1458].end 8388.96471875
transcript.pyannote[1459].speaker SPEAKER_18
transcript.pyannote[1459].start 8388.96471875
transcript.pyannote[1459].end 8433.63284375
transcript.pyannote[1460].speaker SPEAKER_18
transcript.pyannote[1460].start 8433.93659375
transcript.pyannote[1460].end 8448.92159375
transcript.pyannote[1461].speaker SPEAKER_18
transcript.pyannote[1461].start 8449.88346875
transcript.pyannote[1461].end 8450.23784375
transcript.pyannote[1462].speaker SPEAKER_32
transcript.pyannote[1462].start 8451.01409375
transcript.pyannote[1462].end 8455.87409375
transcript.pyannote[1463].speaker SPEAKER_18
transcript.pyannote[1463].start 8455.18221875
transcript.pyannote[1463].end 8462.59034375
transcript.pyannote[1464].speaker SPEAKER_18
transcript.pyannote[1464].start 8464.32846875
transcript.pyannote[1464].end 8464.61534375
transcript.pyannote[1465].speaker SPEAKER_18
transcript.pyannote[1465].start 8464.93596875
transcript.pyannote[1465].end 8466.30284375
transcript.pyannote[1466].speaker SPEAKER_18
transcript.pyannote[1466].start 8466.65721875
transcript.pyannote[1466].end 8476.57971875
transcript.pyannote[1467].speaker SPEAKER_18
transcript.pyannote[1467].start 8478.87471875
transcript.pyannote[1467].end 8483.12721875
transcript.pyannote[1468].speaker SPEAKER_18
transcript.pyannote[1468].start 8484.61221875
transcript.pyannote[1468].end 8484.93284375
transcript.pyannote[1469].speaker SPEAKER_18
transcript.pyannote[1469].start 8485.97909375
transcript.pyannote[1469].end 8488.84784375
transcript.pyannote[1470].speaker SPEAKER_18
transcript.pyannote[1470].start 8490.04596875
transcript.pyannote[1470].end 8490.94034375
transcript.pyannote[1471].speaker SPEAKER_02
transcript.pyannote[1471].start 8508.55784375
transcript.pyannote[1471].end 8508.77721875
transcript.pyannote[1472].speaker SPEAKER_06
transcript.pyannote[1472].start 8508.77721875
transcript.pyannote[1472].end 8508.96284375
transcript.pyannote[1473].speaker SPEAKER_02
transcript.pyannote[1473].start 8508.96284375
transcript.pyannote[1473].end 8509.87409375
transcript.pyannote[1474].speaker SPEAKER_02
transcript.pyannote[1474].start 8510.58284375
transcript.pyannote[1474].end 8511.30846875
transcript.pyannote[1475].speaker SPEAKER_02
transcript.pyannote[1475].start 8514.58221875
transcript.pyannote[1475].end 8514.73409375
transcript.pyannote[1476].speaker SPEAKER_02
transcript.pyannote[1476].start 8514.90284375
transcript.pyannote[1476].end 8515.03784375
transcript.pyannote[1477].speaker SPEAKER_02
transcript.pyannote[1477].start 8521.07909375
transcript.pyannote[1477].end 8524.21784375
transcript.pyannote[1478].speaker SPEAKER_24
transcript.pyannote[1478].start 8525.75346875
transcript.pyannote[1478].end 8526.00659375
transcript.pyannote[1479].speaker SPEAKER_02
transcript.pyannote[1479].start 8526.86721875
transcript.pyannote[1479].end 8527.45784375
transcript.pyannote[1480].speaker SPEAKER_22
transcript.pyannote[1480].start 8527.45784375
transcript.pyannote[1480].end 8527.50846875
transcript.pyannote[1481].speaker SPEAKER_24
transcript.pyannote[1481].start 8527.96409375
transcript.pyannote[1481].end 8528.01471875
transcript.pyannote[1482].speaker SPEAKER_24
transcript.pyannote[1482].start 8528.43659375
transcript.pyannote[1482].end 8528.48721875
transcript.pyannote[1483].speaker SPEAKER_24
transcript.pyannote[1483].start 8528.55471875
transcript.pyannote[1483].end 8528.57159375
transcript.pyannote[1484].speaker SPEAKER_22
transcript.pyannote[1484].start 8528.85846875
transcript.pyannote[1484].end 8529.43221875
transcript.pyannote[1485].speaker SPEAKER_22
transcript.pyannote[1485].start 8529.60096875
transcript.pyannote[1485].end 8532.41909375
transcript.pyannote[1486].speaker SPEAKER_22
transcript.pyannote[1486].start 8533.14471875
transcript.pyannote[1486].end 8533.75221875
transcript.pyannote[1487].speaker SPEAKER_10
transcript.pyannote[1487].start 8549.17596875
transcript.pyannote[1487].end 8553.46221875
transcript.pyannote[1488].speaker SPEAKER_24
transcript.pyannote[1488].start 8553.46221875
transcript.pyannote[1488].end 8554.45784375
transcript.pyannote[1489].speaker SPEAKER_04
transcript.pyannote[1489].start 8554.45784375
transcript.pyannote[1489].end 8560.81971875
transcript.pyannote[1490].speaker SPEAKER_22
transcript.pyannote[1490].start 8555.82471875
transcript.pyannote[1490].end 8556.09471875
transcript.pyannote[1491].speaker SPEAKER_22
transcript.pyannote[1491].start 8556.98909375
transcript.pyannote[1491].end 8557.03971875
transcript.pyannote[1492].speaker SPEAKER_24
transcript.pyannote[1492].start 8557.03971875
transcript.pyannote[1492].end 8557.52909375
transcript.pyannote[1493].speaker SPEAKER_24
transcript.pyannote[1493].start 8560.81971875
transcript.pyannote[1493].end 8560.95471875
transcript.pyannote[1494].speaker SPEAKER_04
transcript.pyannote[1494].start 8560.95471875
transcript.pyannote[1494].end 8560.97159375
transcript.pyannote[1495].speaker SPEAKER_24
transcript.pyannote[1495].start 8560.97159375
transcript.pyannote[1495].end 8561.03909375
transcript.pyannote[1496].speaker SPEAKER_04
transcript.pyannote[1496].start 8561.51159375
transcript.pyannote[1496].end 8569.96596875
transcript.pyannote[1497].speaker SPEAKER_04
transcript.pyannote[1497].start 8571.09659375
transcript.pyannote[1497].end 8576.63159375
transcript.pyannote[1498].speaker SPEAKER_02
transcript.pyannote[1498].start 8578.45409375
transcript.pyannote[1498].end 8578.48784375
transcript.pyannote[1499].speaker SPEAKER_04
transcript.pyannote[1499].start 8578.48784375
transcript.pyannote[1499].end 8582.13284375
transcript.pyannote[1500].speaker SPEAKER_02
transcript.pyannote[1500].start 8581.93034375
transcript.pyannote[1500].end 8582.11596875
transcript.pyannote[1501].speaker SPEAKER_02
transcript.pyannote[1501].start 8582.13284375
transcript.pyannote[1501].end 8585.96346875
transcript.pyannote[1502].speaker SPEAKER_24
transcript.pyannote[1502].start 8582.72346875
transcript.pyannote[1502].end 8582.97659375
transcript.pyannote[1503].speaker SPEAKER_04
transcript.pyannote[1503].start 8582.97659375
transcript.pyannote[1503].end 8584.02284375
transcript.pyannote[1504].speaker SPEAKER_24
transcript.pyannote[1504].start 8585.96346875
transcript.pyannote[1504].end 8587.29659375
transcript.pyannote[1505].speaker SPEAKER_40
transcript.pyannote[1505].start 8587.29659375
transcript.pyannote[1505].end 8587.44846875
transcript.pyannote[1506].speaker SPEAKER_24
transcript.pyannote[1506].start 8587.31346875
transcript.pyannote[1506].end 8587.33034375
transcript.pyannote[1507].speaker SPEAKER_04
transcript.pyannote[1507].start 8587.33034375
transcript.pyannote[1507].end 8600.29034375
transcript.pyannote[1508].speaker SPEAKER_24
transcript.pyannote[1508].start 8587.44846875
transcript.pyannote[1508].end 8589.79409375
transcript.pyannote[1509].speaker SPEAKER_24
transcript.pyannote[1509].start 8595.64971875
transcript.pyannote[1509].end 8595.81846875
transcript.pyannote[1510].speaker SPEAKER_24
transcript.pyannote[1510].start 8595.86909375
transcript.pyannote[1510].end 8596.12221875
transcript.pyannote[1511].speaker SPEAKER_40
transcript.pyannote[1511].start 8596.12221875
transcript.pyannote[1511].end 8596.18971875
transcript.pyannote[1512].speaker SPEAKER_24
transcript.pyannote[1512].start 8596.18971875
transcript.pyannote[1512].end 8596.22346875
transcript.pyannote[1513].speaker SPEAKER_40
transcript.pyannote[1513].start 8596.22346875
transcript.pyannote[1513].end 8596.89846875
transcript.pyannote[1514].speaker SPEAKER_00
transcript.pyannote[1514].start 8596.89846875
transcript.pyannote[1514].end 8597.03346875
transcript.pyannote[1515].speaker SPEAKER_24
transcript.pyannote[1515].start 8597.03346875
transcript.pyannote[1515].end 8597.55659375
transcript.pyannote[1516].speaker SPEAKER_24
transcript.pyannote[1516].start 8599.58159375
transcript.pyannote[1516].end 8600.07096875
transcript.pyannote[1517].speaker SPEAKER_24
transcript.pyannote[1517].start 8600.29034375
transcript.pyannote[1517].end 8601.25221875
transcript.pyannote[1518].speaker SPEAKER_24
transcript.pyannote[1518].start 8601.72471875
transcript.pyannote[1518].end 8602.56846875
transcript.pyannote[1519].speaker SPEAKER_04
transcript.pyannote[1519].start 8608.13721875
transcript.pyannote[1519].end 8614.24596875
transcript.pyannote[1520].speaker SPEAKER_07
transcript.pyannote[1520].start 8610.76971875
transcript.pyannote[1520].end 8610.97221875
transcript.pyannote[1521].speaker SPEAKER_07
transcript.pyannote[1521].start 8611.02284375
transcript.pyannote[1521].end 8611.15784375
transcript.pyannote[1522].speaker SPEAKER_40
transcript.pyannote[1522].start 8613.16596875
transcript.pyannote[1522].end 8613.23346875
transcript.pyannote[1523].speaker SPEAKER_40
transcript.pyannote[1523].start 8614.24596875
transcript.pyannote[1523].end 8627.10471875
transcript.pyannote[1524].speaker SPEAKER_02
transcript.pyannote[1524].start 8619.10596875
transcript.pyannote[1524].end 8621.68784375
transcript.pyannote[1525].speaker SPEAKER_02
transcript.pyannote[1525].start 8623.10534375
transcript.pyannote[1525].end 8623.17284375
transcript.pyannote[1526].speaker SPEAKER_25
transcript.pyannote[1526].start 8624.55659375
transcript.pyannote[1526].end 8625.97409375
transcript.pyannote[1527].speaker SPEAKER_21
transcript.pyannote[1527].start 8631.12096875
transcript.pyannote[1527].end 8631.18846875
transcript.pyannote[1528].speaker SPEAKER_21
transcript.pyannote[1528].start 8631.64409375
transcript.pyannote[1528].end 8631.89721875
transcript.pyannote[1529].speaker SPEAKER_21
transcript.pyannote[1529].start 8631.96471875
transcript.pyannote[1529].end 8632.03221875
transcript.pyannote[1530].speaker SPEAKER_21
transcript.pyannote[1530].start 8632.53846875
transcript.pyannote[1530].end 8633.02784375
transcript.pyannote[1531].speaker SPEAKER_21
transcript.pyannote[1531].start 8633.97284375
transcript.pyannote[1531].end 8634.02346875
transcript.pyannote[1532].speaker SPEAKER_21
transcript.pyannote[1532].start 8634.96846875
transcript.pyannote[1532].end 8635.03596875
transcript.pyannote[1533].speaker SPEAKER_21
transcript.pyannote[1533].start 8635.28909375
transcript.pyannote[1533].end 8639.27159375
transcript.pyannote[1534].speaker SPEAKER_21
transcript.pyannote[1534].start 8649.07596875
transcript.pyannote[1534].end 8650.15596875
transcript.pyannote[1535].speaker SPEAKER_21
transcript.pyannote[1535].start 8650.57784375
transcript.pyannote[1535].end 8650.62846875
transcript.pyannote[1536].speaker SPEAKER_21
transcript.pyannote[1536].start 8650.64534375
transcript.pyannote[1536].end 8650.72971875
transcript.pyannote[1537].speaker SPEAKER_21
transcript.pyannote[1537].start 8650.96596875
transcript.pyannote[1537].end 8651.03346875
transcript.pyannote[1538].speaker SPEAKER_21
transcript.pyannote[1538].start 8651.13471875
transcript.pyannote[1538].end 8653.63221875
transcript.pyannote[1539].speaker SPEAKER_40
transcript.pyannote[1539].start 8651.53971875
transcript.pyannote[1539].end 8651.57346875
transcript.pyannote[1540].speaker SPEAKER_24
transcript.pyannote[1540].start 8651.57346875
transcript.pyannote[1540].end 8651.75909375
transcript.pyannote[1541].speaker SPEAKER_40
transcript.pyannote[1541].start 8651.75909375
transcript.pyannote[1541].end 8651.79284375
transcript.pyannote[1542].speaker SPEAKER_21
transcript.pyannote[1542].start 8653.96971875
transcript.pyannote[1542].end 8654.03721875
transcript.pyannote[1543].speaker SPEAKER_40
transcript.pyannote[1543].start 8662.79534375
transcript.pyannote[1543].end 8663.40284375
transcript.pyannote[1544].speaker SPEAKER_02
transcript.pyannote[1544].start 8663.40284375
transcript.pyannote[1544].end 8663.47034375
transcript.pyannote[1545].speaker SPEAKER_02
transcript.pyannote[1545].start 8664.97221875
transcript.pyannote[1545].end 8671.77284375
transcript.pyannote[1546].speaker SPEAKER_40
transcript.pyannote[1546].start 8667.25034375
transcript.pyannote[1546].end 8667.58784375
transcript.pyannote[1547].speaker SPEAKER_02
transcript.pyannote[1547].start 8677.08846875
transcript.pyannote[1547].end 8678.74221875
transcript.pyannote[1548].speaker SPEAKER_02
transcript.pyannote[1548].start 8685.96471875
transcript.pyannote[1548].end 8694.11534375
transcript.pyannote[1549].speaker SPEAKER_02
transcript.pyannote[1549].start 8704.96596875
transcript.pyannote[1549].end 8704.98284375
transcript.pyannote[1550].speaker SPEAKER_02
transcript.pyannote[1550].start 8705.97846875
transcript.pyannote[1550].end 8706.02909375
transcript.pyannote[1551].speaker SPEAKER_35
transcript.pyannote[1551].start 8708.96534375
transcript.pyannote[1551].end 8709.79221875
transcript.pyannote[1552].speaker SPEAKER_02
transcript.pyannote[1552].start 8709.85971875
transcript.pyannote[1552].end 8715.29346875
transcript.pyannote[1553].speaker SPEAKER_24
transcript.pyannote[1553].start 8714.83784375
transcript.pyannote[1553].end 8715.14159375
transcript.pyannote[1554].speaker SPEAKER_35
transcript.pyannote[1554].start 8715.14159375
transcript.pyannote[1554].end 8715.34409375
transcript.pyannote[1555].speaker SPEAKER_29
transcript.pyannote[1555].start 8715.29346875
transcript.pyannote[1555].end 8715.49596875
transcript.pyannote[1556].speaker SPEAKER_24
transcript.pyannote[1556].start 8715.34409375
transcript.pyannote[1556].end 8715.93471875
transcript.pyannote[1557].speaker SPEAKER_35
transcript.pyannote[1557].start 8715.93471875
transcript.pyannote[1557].end 8715.95159375
transcript.pyannote[1558].speaker SPEAKER_24
transcript.pyannote[1558].start 8715.95159375
transcript.pyannote[1558].end 8715.96846875
transcript.pyannote[1559].speaker SPEAKER_35
transcript.pyannote[1559].start 8715.96846875
transcript.pyannote[1559].end 8716.03596875
transcript.pyannote[1560].speaker SPEAKER_24
transcript.pyannote[1560].start 8716.03596875
transcript.pyannote[1560].end 8716.60971875
transcript.pyannote[1561].speaker SPEAKER_02
transcript.pyannote[1561].start 8716.60971875
transcript.pyannote[1561].end 8728.32096875
transcript.pyannote[1562].speaker SPEAKER_24
transcript.pyannote[1562].start 8716.62659375
transcript.pyannote[1562].end 8717.75721875
transcript.pyannote[1563].speaker SPEAKER_24
transcript.pyannote[1563].start 8720.10284375
transcript.pyannote[1563].end 8720.64284375
transcript.pyannote[1564].speaker SPEAKER_24
transcript.pyannote[1564].start 8720.81159375
transcript.pyannote[1564].end 8721.03096875
transcript.pyannote[1565].speaker SPEAKER_24
transcript.pyannote[1565].start 8721.84096875
transcript.pyannote[1565].end 8722.02659375
transcript.pyannote[1566].speaker SPEAKER_24
transcript.pyannote[1566].start 8722.66784375
transcript.pyannote[1566].end 8722.71846875
transcript.pyannote[1567].speaker SPEAKER_24
transcript.pyannote[1567].start 8734.96971875
transcript.pyannote[1567].end 8736.20159375
transcript.pyannote[1568].speaker SPEAKER_02
transcript.pyannote[1568].start 8736.20159375
transcript.pyannote[1568].end 8745.38159375
transcript.pyannote[1569].speaker SPEAKER_24
transcript.pyannote[1569].start 8736.21846875
transcript.pyannote[1569].end 8738.96909375
transcript.pyannote[1570].speaker SPEAKER_24
transcript.pyannote[1570].start 8740.04909375
transcript.pyannote[1570].end 8740.58909375
transcript.pyannote[1571].speaker SPEAKER_24
transcript.pyannote[1571].start 8742.31034375
transcript.pyannote[1571].end 8742.34409375
transcript.pyannote[1572].speaker SPEAKER_35
transcript.pyannote[1572].start 8742.34409375
transcript.pyannote[1572].end 8746.63034375
transcript.pyannote[1573].speaker SPEAKER_02
transcript.pyannote[1573].start 8746.22534375
transcript.pyannote[1573].end 8749.07721875
transcript.pyannote[1574].speaker SPEAKER_35
transcript.pyannote[1574].start 8749.07721875
transcript.pyannote[1574].end 8753.02596875
transcript.pyannote[1575].speaker SPEAKER_02
transcript.pyannote[1575].start 8757.59909375
transcript.pyannote[1575].end 8763.43784375
transcript.pyannote[1576].speaker SPEAKER_35
transcript.pyannote[1576].start 8763.43784375
transcript.pyannote[1576].end 8765.04096875
transcript.pyannote[1577].speaker SPEAKER_02
transcript.pyannote[1577].start 8765.54721875
transcript.pyannote[1577].end 8765.98596875
transcript.pyannote[1578].speaker SPEAKER_35
transcript.pyannote[1578].start 8765.73284375
transcript.pyannote[1578].end 8767.75784375
transcript.pyannote[1579].speaker SPEAKER_02
transcript.pyannote[1579].start 8767.28534375
transcript.pyannote[1579].end 8778.18659375
transcript.pyannote[1580].speaker SPEAKER_24
transcript.pyannote[1580].start 8772.24659375
transcript.pyannote[1580].end 8772.38159375
transcript.pyannote[1581].speaker SPEAKER_24
transcript.pyannote[1581].start 8775.21659375
transcript.pyannote[1581].end 8776.02659375
transcript.pyannote[1582].speaker SPEAKER_24
transcript.pyannote[1582].start 8776.56659375
transcript.pyannote[1582].end 8782.03409375
transcript.pyannote[1583].speaker SPEAKER_35
transcript.pyannote[1583].start 8778.18659375
transcript.pyannote[1583].end 8779.38471875
transcript.pyannote[1584].speaker SPEAKER_35
transcript.pyannote[1584].start 8780.36346875
transcript.pyannote[1584].end 8781.69659375
transcript.pyannote[1585].speaker SPEAKER_02
transcript.pyannote[1585].start 8782.48971875
transcript.pyannote[1585].end 8785.00409375
transcript.pyannote[1586].speaker SPEAKER_24
transcript.pyannote[1586].start 8783.11409375
transcript.pyannote[1586].end 8784.98721875
transcript.pyannote[1587].speaker SPEAKER_24
transcript.pyannote[1587].start 8785.00409375
transcript.pyannote[1587].end 8785.96596875
transcript.pyannote[1588].speaker SPEAKER_02
transcript.pyannote[1588].start 8785.57784375
transcript.pyannote[1588].end 8788.58159375
transcript.pyannote[1589].speaker SPEAKER_29
transcript.pyannote[1589].start 8787.90659375
transcript.pyannote[1589].end 8788.02471875
transcript.pyannote[1590].speaker SPEAKER_24
transcript.pyannote[1590].start 8788.02471875
transcript.pyannote[1590].end 8790.21846875
transcript.pyannote[1591].speaker SPEAKER_02
transcript.pyannote[1591].start 8788.81784375
transcript.pyannote[1591].end 8791.90596875
transcript.pyannote[1592].speaker SPEAKER_17
transcript.pyannote[1592].start 8791.90596875
transcript.pyannote[1592].end 8792.36159375
transcript.pyannote[1593].speaker SPEAKER_24
transcript.pyannote[1593].start 8792.36159375
transcript.pyannote[1593].end 8794.03221875
transcript.pyannote[1594].speaker SPEAKER_21
transcript.pyannote[1594].start 8794.67346875
transcript.pyannote[1594].end 8794.70721875
transcript.pyannote[1595].speaker SPEAKER_17
transcript.pyannote[1595].start 8794.70721875
transcript.pyannote[1595].end 8794.74096875
transcript.pyannote[1596].speaker SPEAKER_21
transcript.pyannote[1596].start 8794.74096875
transcript.pyannote[1596].end 8799.76971875
transcript.pyannote[1597].speaker SPEAKER_17
transcript.pyannote[1597].start 8795.58471875
transcript.pyannote[1597].end 8796.36096875
transcript.pyannote[1598].speaker SPEAKER_13
transcript.pyannote[1598].start 8796.36096875
transcript.pyannote[1598].end 8796.93471875
transcript.pyannote[1599].speaker SPEAKER_17
transcript.pyannote[1599].start 8796.93471875
transcript.pyannote[1599].end 8797.08659375
transcript.pyannote[1600].speaker SPEAKER_35
transcript.pyannote[1600].start 8797.08659375
transcript.pyannote[1600].end 8797.17096875
transcript.pyannote[1601].speaker SPEAKER_02
transcript.pyannote[1601].start 8797.17096875
transcript.pyannote[1601].end 8797.22159375
transcript.pyannote[1602].speaker SPEAKER_13
transcript.pyannote[1602].start 8799.11159375
transcript.pyannote[1602].end 8803.07721875
transcript.pyannote[1603].speaker SPEAKER_21
transcript.pyannote[1603].start 8803.07721875
transcript.pyannote[1603].end 8803.09409375
transcript.pyannote[1604].speaker SPEAKER_13
transcript.pyannote[1604].start 8803.09409375
transcript.pyannote[1604].end 8803.11096875
transcript.pyannote[1605].speaker SPEAKER_21
transcript.pyannote[1605].start 8803.11096875
transcript.pyannote[1605].end 8811.71721875
transcript.pyannote[1606].speaker SPEAKER_13
transcript.pyannote[1606].start 8803.31346875
transcript.pyannote[1606].end 8803.51596875
transcript.pyannote[1607].speaker SPEAKER_13
transcript.pyannote[1607].start 8806.28346875
transcript.pyannote[1607].end 8807.54909375
transcript.pyannote[1608].speaker SPEAKER_13
transcript.pyannote[1608].start 8811.98721875
transcript.pyannote[1608].end 8813.65784375
transcript.pyannote[1609].speaker SPEAKER_21
transcript.pyannote[1609].start 8813.65784375
transcript.pyannote[1609].end 8814.97409375
transcript.pyannote[1610].speaker SPEAKER_13
transcript.pyannote[1610].start 8814.97409375
transcript.pyannote[1610].end 8822.38221875
transcript.pyannote[1611].speaker SPEAKER_24
transcript.pyannote[1611].start 8819.58096875
transcript.pyannote[1611].end 8822.46659375
transcript.pyannote[1612].speaker SPEAKER_13
transcript.pyannote[1612].start 8822.39909375
transcript.pyannote[1612].end 8828.62596875
transcript.pyannote[1613].speaker SPEAKER_02
transcript.pyannote[1613].start 8822.46659375
transcript.pyannote[1613].end 8822.87159375
transcript.pyannote[1614].speaker SPEAKER_24
transcript.pyannote[1614].start 8822.87159375
transcript.pyannote[1614].end 8823.00659375
transcript.pyannote[1615].speaker SPEAKER_02
transcript.pyannote[1615].start 8823.00659375
transcript.pyannote[1615].end 8823.32721875
transcript.pyannote[1616].speaker SPEAKER_24
transcript.pyannote[1616].start 8823.32721875
transcript.pyannote[1616].end 8825.03159375
transcript.pyannote[1617].speaker SPEAKER_40
transcript.pyannote[1617].start 8825.03159375
transcript.pyannote[1617].end 8825.06534375
transcript.pyannote[1618].speaker SPEAKER_24
transcript.pyannote[1618].start 8825.06534375
transcript.pyannote[1618].end 8825.21721875
transcript.pyannote[1619].speaker SPEAKER_40
transcript.pyannote[1619].start 8825.21721875
transcript.pyannote[1619].end 8828.59221875
transcript.pyannote[1620].speaker SPEAKER_40
transcript.pyannote[1620].start 8828.62596875
transcript.pyannote[1620].end 8832.03471875
transcript.pyannote[1621].speaker SPEAKER_40
transcript.pyannote[1621].start 8832.99659375
transcript.pyannote[1621].end 8833.53659375
transcript.pyannote[1622].speaker SPEAKER_40
transcript.pyannote[1622].start 8850.15846875
transcript.pyannote[1622].end 8851.74471875
transcript.pyannote[1623].speaker SPEAKER_40
transcript.pyannote[1623].start 8851.89659375
transcript.pyannote[1623].end 8852.84159375
transcript.pyannote[1624].speaker SPEAKER_40
transcript.pyannote[1624].start 8854.96784375
transcript.pyannote[1624].end 8855.00159375
transcript.pyannote[1625].speaker SPEAKER_21
transcript.pyannote[1625].start 8855.00159375
transcript.pyannote[1625].end 8855.03534375
transcript.pyannote[1626].speaker SPEAKER_40
transcript.pyannote[1626].start 8855.03534375
transcript.pyannote[1626].end 8855.98034375
transcript.pyannote[1627].speaker SPEAKER_21
transcript.pyannote[1627].start 8856.67221875
transcript.pyannote[1627].end 8858.32596875
transcript.pyannote[1628].speaker SPEAKER_21
transcript.pyannote[1628].start 8860.55346875
transcript.pyannote[1628].end 8862.35909375
transcript.pyannote[1629].speaker SPEAKER_21
transcript.pyannote[1629].start 8862.74721875
transcript.pyannote[1629].end 8863.87784375
transcript.pyannote[1630].speaker SPEAKER_40
transcript.pyannote[1630].start 8863.10159375
transcript.pyannote[1630].end 8863.16909375
transcript.pyannote[1631].speaker SPEAKER_13
transcript.pyannote[1631].start 8863.16909375
transcript.pyannote[1631].end 8865.83534375
transcript.pyannote[1632].speaker SPEAKER_40
transcript.pyannote[1632].start 8863.87784375
transcript.pyannote[1632].end 8863.96221875
transcript.pyannote[1633].speaker SPEAKER_21
transcript.pyannote[1633].start 8865.83534375
transcript.pyannote[1633].end 8873.46284375
transcript.pyannote[1634].speaker SPEAKER_10
transcript.pyannote[1634].start 8871.20159375
transcript.pyannote[1634].end 8871.97784375
transcript.pyannote[1635].speaker SPEAKER_09
transcript.pyannote[1635].start 8871.97784375
transcript.pyannote[1635].end 8872.18034375
transcript.pyannote[1636].speaker SPEAKER_10
transcript.pyannote[1636].start 8872.18034375
transcript.pyannote[1636].end 8872.23096875
transcript.pyannote[1637].speaker SPEAKER_13
transcript.pyannote[1637].start 8872.23096875
transcript.pyannote[1637].end 8872.50096875
transcript.pyannote[1638].speaker SPEAKER_10
transcript.pyannote[1638].start 8872.50096875
transcript.pyannote[1638].end 8872.95659375
transcript.pyannote[1639].speaker SPEAKER_09
transcript.pyannote[1639].start 8872.95659375
transcript.pyannote[1639].end 8872.97346875
transcript.pyannote[1640].speaker SPEAKER_13
transcript.pyannote[1640].start 8873.96909375
transcript.pyannote[1640].end 8877.27659375
transcript.pyannote[1641].speaker SPEAKER_21
transcript.pyannote[1641].start 8876.93909375
transcript.pyannote[1641].end 8880.75284375
transcript.pyannote[1642].speaker SPEAKER_13
transcript.pyannote[1642].start 8878.15409375
transcript.pyannote[1642].end 8878.81221875
transcript.pyannote[1643].speaker SPEAKER_13
transcript.pyannote[1643].start 8880.29721875
transcript.pyannote[1643].end 8884.17846875
transcript.pyannote[1644].speaker SPEAKER_21
transcript.pyannote[1644].start 8883.62159375
transcript.pyannote[1644].end 8887.67159375
transcript.pyannote[1645].speaker SPEAKER_13
transcript.pyannote[1645].start 8886.65909375
transcript.pyannote[1645].end 8886.74346875
transcript.pyannote[1646].speaker SPEAKER_13
transcript.pyannote[1646].start 8886.87846875
transcript.pyannote[1646].end 8889.86534375
transcript.pyannote[1647].speaker SPEAKER_21
transcript.pyannote[1647].start 8888.88659375
transcript.pyannote[1647].end 8889.67971875
transcript.pyannote[1648].speaker SPEAKER_19
transcript.pyannote[1648].start 8889.67971875
transcript.pyannote[1648].end 8889.76409375
transcript.pyannote[1649].speaker SPEAKER_21
transcript.pyannote[1649].start 8889.78096875
transcript.pyannote[1649].end 8890.18596875
transcript.pyannote[1650].speaker SPEAKER_13
transcript.pyannote[1650].start 8890.18596875
transcript.pyannote[1650].end 8891.89034375
transcript.pyannote[1651].speaker SPEAKER_19
transcript.pyannote[1651].start 8890.18596875
transcript.pyannote[1651].end 8893.64534375
transcript.pyannote[1652].speaker SPEAKER_13
transcript.pyannote[1652].start 8893.81409375
transcript.pyannote[1652].end 8910.55409375
transcript.pyannote[1653].speaker SPEAKER_19
transcript.pyannote[1653].start 8895.58596875
transcript.pyannote[1653].end 8896.15971875
transcript.pyannote[1654].speaker SPEAKER_24
transcript.pyannote[1654].start 8901.22221875
transcript.pyannote[1654].end 8901.86346875
transcript.pyannote[1655].speaker SPEAKER_24
transcript.pyannote[1655].start 8905.06971875
transcript.pyannote[1655].end 8909.60909375
transcript.pyannote[1656].speaker SPEAKER_24
transcript.pyannote[1656].start 8910.85784375
transcript.pyannote[1656].end 8916.74721875
transcript.pyannote[1657].speaker SPEAKER_13
transcript.pyannote[1657].start 8915.76846875
transcript.pyannote[1657].end 8918.67096875
transcript.pyannote[1658].speaker SPEAKER_21
transcript.pyannote[1658].start 8918.75534375
transcript.pyannote[1658].end 8922.02909375
transcript.pyannote[1659].speaker SPEAKER_21
transcript.pyannote[1659].start 8922.07971875
transcript.pyannote[1659].end 8923.54784375
transcript.pyannote[1660].speaker SPEAKER_18
transcript.pyannote[1660].start 8925.87659375
transcript.pyannote[1660].end 8927.59784375
transcript.pyannote[1661].speaker SPEAKER_18
transcript.pyannote[1661].start 8934.58409375
transcript.pyannote[1661].end 8935.81596875
transcript.pyannote[1662].speaker SPEAKER_18
transcript.pyannote[1662].start 8936.27159375
transcript.pyannote[1662].end 8936.92971875
transcript.pyannote[1663].speaker SPEAKER_18
transcript.pyannote[1663].start 8939.57909375
transcript.pyannote[1663].end 8942.34659375
transcript.pyannote[1664].speaker SPEAKER_18
transcript.pyannote[1664].start 8943.12284375
transcript.pyannote[1664].end 8946.10971875
transcript.pyannote[1665].speaker SPEAKER_18
transcript.pyannote[1665].start 8946.73409375
transcript.pyannote[1665].end 8949.63659375
transcript.pyannote[1666].speaker SPEAKER_18
transcript.pyannote[1666].start 8950.88534375
transcript.pyannote[1666].end 8954.54721875
transcript.pyannote[1667].speaker SPEAKER_18
transcript.pyannote[1667].start 8954.90159375
transcript.pyannote[1667].end 8955.64409375
transcript.pyannote[1668].speaker SPEAKER_17
transcript.pyannote[1668].start 8955.64409375
transcript.pyannote[1668].end 8955.72846875
transcript.pyannote[1669].speaker SPEAKER_18
transcript.pyannote[1669].start 8956.47096875
transcript.pyannote[1669].end 8957.02784375
transcript.pyannote[1670].speaker SPEAKER_17
transcript.pyannote[1670].start 8957.02784375
transcript.pyannote[1670].end 8958.19221875
transcript.pyannote[1671].speaker SPEAKER_17
transcript.pyannote[1671].start 8959.12034375
transcript.pyannote[1671].end 8969.98784375
transcript.pyannote[1672].speaker SPEAKER_17
transcript.pyannote[1672].start 8970.47721875
transcript.pyannote[1672].end 8971.38846875
transcript.pyannote[1673].speaker SPEAKER_17
transcript.pyannote[1673].start 8972.58659375
transcript.pyannote[1673].end 8974.15596875
transcript.pyannote[1674].speaker SPEAKER_17
transcript.pyannote[1674].start 8974.94909375
transcript.pyannote[1674].end 8976.23159375
transcript.pyannote[1675].speaker SPEAKER_17
transcript.pyannote[1675].start 8976.61971875
transcript.pyannote[1675].end 8978.03721875
transcript.pyannote[1676].speaker SPEAKER_17
transcript.pyannote[1676].start 8978.64471875
transcript.pyannote[1676].end 8979.92721875
transcript.pyannote[1677].speaker SPEAKER_17
transcript.pyannote[1677].start 8979.97784375
transcript.pyannote[1677].end 8979.99471875
transcript.pyannote[1678].speaker SPEAKER_17
transcript.pyannote[1678].start 8980.26471875
transcript.pyannote[1678].end 8986.22159375
transcript.pyannote[1679].speaker SPEAKER_17
transcript.pyannote[1679].start 8986.35659375
transcript.pyannote[1679].end 8997.40971875
transcript.pyannote[1680].speaker SPEAKER_17
transcript.pyannote[1680].start 8997.83159375
transcript.pyannote[1680].end 8999.13096875
transcript.pyannote[1681].speaker SPEAKER_17
transcript.pyannote[1681].start 8999.28284375
transcript.pyannote[1681].end 9001.25721875
transcript.pyannote[1682].speaker SPEAKER_22
transcript.pyannote[1682].start 9002.50596875
transcript.pyannote[1682].end 9003.04596875
transcript.pyannote[1683].speaker SPEAKER_17
transcript.pyannote[1683].start 9003.45096875
transcript.pyannote[1683].end 9003.80534375
transcript.pyannote[1684].speaker SPEAKER_17
transcript.pyannote[1684].start 9006.48846875
transcript.pyannote[1684].end 9006.50534375
transcript.pyannote[1685].speaker SPEAKER_18
transcript.pyannote[1685].start 9006.50534375
transcript.pyannote[1685].end 9010.55534375
transcript.pyannote[1686].speaker SPEAKER_18
transcript.pyannote[1686].start 9011.17971875
transcript.pyannote[1686].end 9018.80721875
transcript.pyannote[1687].speaker SPEAKER_18
transcript.pyannote[1687].start 9019.36409375
transcript.pyannote[1687].end 9022.03034375
transcript.pyannote[1688].speaker SPEAKER_18
transcript.pyannote[1688].start 9022.30034375
transcript.pyannote[1688].end 9028.61159375
transcript.pyannote[1689].speaker SPEAKER_18
transcript.pyannote[1689].start 9029.32034375
transcript.pyannote[1689].end 9032.05409375
transcript.pyannote[1690].speaker SPEAKER_18
transcript.pyannote[1690].start 9032.08784375
transcript.pyannote[1690].end 9044.99721875
transcript.pyannote[1691].speaker SPEAKER_18
transcript.pyannote[1691].start 9045.40221875
transcript.pyannote[1691].end 9048.79409375
transcript.pyannote[1692].speaker SPEAKER_18
transcript.pyannote[1692].start 9049.16534375
transcript.pyannote[1692].end 9050.56596875
transcript.pyannote[1693].speaker SPEAKER_18
transcript.pyannote[1693].start 9050.81909375
transcript.pyannote[1693].end 9084.19784375
transcript.pyannote[1694].speaker SPEAKER_18
transcript.pyannote[1694].start 9084.80534375
transcript.pyannote[1694].end 9093.20909375
transcript.pyannote[1695].speaker SPEAKER_18
transcript.pyannote[1695].start 9095.58846875
transcript.pyannote[1695].end 9096.02721875
transcript.pyannote[1696].speaker SPEAKER_41
transcript.pyannote[1696].start 9096.02721875
transcript.pyannote[1696].end 9096.33096875
transcript.pyannote[1697].speaker SPEAKER_18
transcript.pyannote[1697].start 9096.33096875
transcript.pyannote[1697].end 9096.36471875
transcript.pyannote[1698].speaker SPEAKER_18
transcript.pyannote[1698].start 9098.10284375
transcript.pyannote[1698].end 9098.13659375
transcript.pyannote[1699].speaker SPEAKER_41
transcript.pyannote[1699].start 9098.13659375
transcript.pyannote[1699].end 9098.15346875
transcript.pyannote[1700].speaker SPEAKER_18
transcript.pyannote[1700].start 9098.15346875
transcript.pyannote[1700].end 9098.79471875
transcript.pyannote[1701].speaker SPEAKER_41
transcript.pyannote[1701].start 9098.79471875
transcript.pyannote[1701].end 9098.81159375
transcript.pyannote[1702].speaker SPEAKER_41
transcript.pyannote[1702].start 9099.30096875
transcript.pyannote[1702].end 9102.08534375
transcript.pyannote[1703].speaker SPEAKER_16
transcript.pyannote[1703].start 9102.37221875
transcript.pyannote[1703].end 9158.78534375
transcript.pyannote[1704].speaker SPEAKER_00
transcript.pyannote[1704].start 9148.01909375
transcript.pyannote[1704].end 9148.15409375
transcript.pyannote[1705].speaker SPEAKER_00
transcript.pyannote[1705].start 9150.80346875
transcript.pyannote[1705].end 9151.61346875
transcript.pyannote[1706].speaker SPEAKER_18
transcript.pyannote[1706].start 9151.61346875
transcript.pyannote[1706].end 9151.91721875
transcript.pyannote[1707].speaker SPEAKER_00
transcript.pyannote[1707].start 9154.54971875
transcript.pyannote[1707].end 9154.60034375
transcript.pyannote[1708].speaker SPEAKER_18
transcript.pyannote[1708].start 9154.60034375
transcript.pyannote[1708].end 9155.03909375
transcript.pyannote[1709].speaker SPEAKER_18
transcript.pyannote[1709].start 9159.29159375
transcript.pyannote[1709].end 9181.81971875
transcript.pyannote[1710].speaker SPEAKER_18
transcript.pyannote[1710].start 9182.24159375
transcript.pyannote[1710].end 9182.79846875
transcript.pyannote[1711].speaker SPEAKER_18
transcript.pyannote[1711].start 9183.05159375
transcript.pyannote[1711].end 9183.91221875
transcript.pyannote[1712].speaker SPEAKER_15
transcript.pyannote[1712].start 9183.91221875
transcript.pyannote[1712].end 9184.48596875
transcript.pyannote[1713].speaker SPEAKER_15
transcript.pyannote[1713].start 9184.58721875
transcript.pyannote[1713].end 9186.73034375
transcript.pyannote[1714].speaker SPEAKER_18
transcript.pyannote[1714].start 9185.66721875
transcript.pyannote[1714].end 9186.12284375
transcript.pyannote[1715].speaker SPEAKER_17
transcript.pyannote[1715].start 9186.12284375
transcript.pyannote[1715].end 9186.32534375
transcript.pyannote[1716].speaker SPEAKER_18
transcript.pyannote[1716].start 9186.32534375
transcript.pyannote[1716].end 9186.37596875
transcript.pyannote[1717].speaker SPEAKER_17
transcript.pyannote[1717].start 9186.37596875
transcript.pyannote[1717].end 9186.39284375
transcript.pyannote[1718].speaker SPEAKER_18
transcript.pyannote[1718].start 9186.39284375
transcript.pyannote[1718].end 9186.46034375
transcript.pyannote[1719].speaker SPEAKER_17
transcript.pyannote[1719].start 9186.46034375
transcript.pyannote[1719].end 9189.41346875
transcript.pyannote[1720].speaker SPEAKER_15
transcript.pyannote[1720].start 9189.43034375
transcript.pyannote[1720].end 9189.58221875
transcript.pyannote[1721].speaker SPEAKER_17
transcript.pyannote[1721].start 9189.58221875
transcript.pyannote[1721].end 9196.70346875
transcript.pyannote[1722].speaker SPEAKER_15
transcript.pyannote[1722].start 9196.26471875
transcript.pyannote[1722].end 9198.22221875
transcript.pyannote[1723].speaker SPEAKER_17
transcript.pyannote[1723].start 9198.12096875
transcript.pyannote[1723].end 9203.70659375
transcript.pyannote[1724].speaker SPEAKER_17
transcript.pyannote[1724].start 9204.41534375
transcript.pyannote[1724].end 9210.49034375
transcript.pyannote[1725].speaker SPEAKER_15
transcript.pyannote[1725].start 9210.79409375
transcript.pyannote[1725].end 9211.30034375
transcript.pyannote[1726].speaker SPEAKER_17
transcript.pyannote[1726].start 9211.89096875
transcript.pyannote[1726].end 9214.57409375
transcript.pyannote[1727].speaker SPEAKER_17
transcript.pyannote[1727].start 9214.67534375
transcript.pyannote[1727].end 9216.63284375
transcript.pyannote[1728].speaker SPEAKER_15
transcript.pyannote[1728].start 9216.63284375
transcript.pyannote[1728].end 9216.76784375
transcript.pyannote[1729].speaker SPEAKER_17
transcript.pyannote[1729].start 9217.49346875
transcript.pyannote[1729].end 9222.64034375
transcript.pyannote[1730].speaker SPEAKER_16
transcript.pyannote[1730].start 9222.64034375
transcript.pyannote[1730].end 9222.69096875
transcript.pyannote[1731].speaker SPEAKER_16
transcript.pyannote[1731].start 9223.36596875
transcript.pyannote[1731].end 9250.04534375
transcript.pyannote[1732].speaker SPEAKER_17
transcript.pyannote[1732].start 9250.04534375
transcript.pyannote[1732].end 9270.97034375
transcript.pyannote[1733].speaker SPEAKER_16
transcript.pyannote[1733].start 9270.97034375
transcript.pyannote[1733].end 9277.21409375
transcript.pyannote[1734].speaker SPEAKER_17
transcript.pyannote[1734].start 9277.21409375
transcript.pyannote[1734].end 9281.12909375
transcript.pyannote[1735].speaker SPEAKER_17
transcript.pyannote[1735].start 9281.31471875
transcript.pyannote[1735].end 9291.38909375
transcript.pyannote[1736].speaker SPEAKER_17
transcript.pyannote[1736].start 9291.74346875
transcript.pyannote[1736].end 9301.88534375
transcript.pyannote[1737].speaker SPEAKER_17
transcript.pyannote[1737].start 9302.91471875
transcript.pyannote[1737].end 9315.14909375
transcript.pyannote[1738].speaker SPEAKER_16
transcript.pyannote[1738].start 9315.14909375
transcript.pyannote[1738].end 9315.26721875
transcript.pyannote[1739].speaker SPEAKER_17
transcript.pyannote[1739].start 9315.26721875
transcript.pyannote[1739].end 9315.46971875
transcript.pyannote[1740].speaker SPEAKER_16
transcript.pyannote[1740].start 9315.46971875
transcript.pyannote[1740].end 9315.50346875
transcript.pyannote[1741].speaker SPEAKER_17
transcript.pyannote[1741].start 9315.50346875
transcript.pyannote[1741].end 9315.52034375
transcript.pyannote[1742].speaker SPEAKER_16
transcript.pyannote[1742].start 9315.52034375
transcript.pyannote[1742].end 9315.75659375
transcript.pyannote[1743].speaker SPEAKER_17
transcript.pyannote[1743].start 9315.75659375
transcript.pyannote[1743].end 9315.97596875
transcript.pyannote[1744].speaker SPEAKER_16
transcript.pyannote[1744].start 9315.97596875
transcript.pyannote[1744].end 9316.11096875
transcript.pyannote[1745].speaker SPEAKER_17
transcript.pyannote[1745].start 9316.11096875
transcript.pyannote[1745].end 9318.97971875
transcript.pyannote[1746].speaker SPEAKER_16
transcript.pyannote[1746].start 9316.63409375
transcript.pyannote[1746].end 9317.64659375
transcript.pyannote[1747].speaker SPEAKER_16
transcript.pyannote[1747].start 9320.83596875
transcript.pyannote[1747].end 9325.52721875
transcript.pyannote[1748].speaker SPEAKER_24
transcript.pyannote[1748].start 9324.78471875
transcript.pyannote[1748].end 9324.81846875
transcript.pyannote[1749].speaker SPEAKER_17
transcript.pyannote[1749].start 9324.81846875
transcript.pyannote[1749].end 9330.70784375
transcript.pyannote[1750].speaker SPEAKER_17
transcript.pyannote[1750].start 9331.16346875
transcript.pyannote[1750].end 9332.68221875
transcript.pyannote[1751].speaker SPEAKER_16
transcript.pyannote[1751].start 9332.68221875
transcript.pyannote[1751].end 9332.69909375
transcript.pyannote[1752].speaker SPEAKER_18
transcript.pyannote[1752].start 9332.69909375
transcript.pyannote[1752].end 9332.85096875
transcript.pyannote[1753].speaker SPEAKER_16
transcript.pyannote[1753].start 9332.85096875
transcript.pyannote[1753].end 9333.27284375
transcript.pyannote[1754].speaker SPEAKER_17
transcript.pyannote[1754].start 9333.27284375
transcript.pyannote[1754].end 9333.93096875
transcript.pyannote[1755].speaker SPEAKER_18
transcript.pyannote[1755].start 9333.93096875
transcript.pyannote[1755].end 9334.23471875
transcript.pyannote[1756].speaker SPEAKER_17
transcript.pyannote[1756].start 9334.23471875
transcript.pyannote[1756].end 9335.85471875
transcript.pyannote[1757].speaker SPEAKER_18
transcript.pyannote[1757].start 9335.85471875
transcript.pyannote[1757].end 9336.83346875
transcript.pyannote[1758].speaker SPEAKER_18
transcript.pyannote[1758].start 9337.42409375
transcript.pyannote[1758].end 9338.04846875
transcript.pyannote[1759].speaker SPEAKER_18
transcript.pyannote[1759].start 9338.26784375
transcript.pyannote[1759].end 9341.59221875
transcript.pyannote[1760].speaker SPEAKER_18
transcript.pyannote[1760].start 9341.99721875
transcript.pyannote[1760].end 9345.00096875
transcript.pyannote[1761].speaker SPEAKER_18
transcript.pyannote[1761].start 9345.70971875
transcript.pyannote[1761].end 9347.41409375
transcript.pyannote[1762].speaker SPEAKER_18
transcript.pyannote[1762].start 9348.24096875
transcript.pyannote[1762].end 9349.00034375
transcript.pyannote[1763].speaker SPEAKER_18
transcript.pyannote[1763].start 9349.40534375
transcript.pyannote[1763].end 9357.20159375
transcript.pyannote[1764].speaker SPEAKER_15
transcript.pyannote[1764].start 9357.10034375
transcript.pyannote[1764].end 9357.16784375
transcript.pyannote[1765].speaker SPEAKER_15
transcript.pyannote[1765].start 9357.20159375
transcript.pyannote[1765].end 9357.84284375
transcript.pyannote[1766].speaker SPEAKER_15
transcript.pyannote[1766].start 9359.96909375
transcript.pyannote[1766].end 9366.90471875
transcript.pyannote[1767].speaker SPEAKER_18
transcript.pyannote[1767].start 9363.76596875
transcript.pyannote[1767].end 9385.90596875
transcript.pyannote[1768].speaker SPEAKER_15
transcript.pyannote[1768].start 9370.04346875
transcript.pyannote[1768].end 9370.98846875
transcript.pyannote[1769].speaker SPEAKER_15
transcript.pyannote[1769].start 9372.76034375
transcript.pyannote[1769].end 9374.02596875
transcript.pyannote[1770].speaker SPEAKER_24
transcript.pyannote[1770].start 9374.02596875
transcript.pyannote[1770].end 9374.21159375
transcript.pyannote[1771].speaker SPEAKER_07
transcript.pyannote[1771].start 9383.50971875
transcript.pyannote[1771].end 9383.57721875
transcript.pyannote[1772].speaker SPEAKER_15
transcript.pyannote[1772].start 9383.57721875
transcript.pyannote[1772].end 9383.66159375
transcript.pyannote[1773].speaker SPEAKER_07
transcript.pyannote[1773].start 9383.66159375
transcript.pyannote[1773].end 9384.03284375
transcript.pyannote[1774].speaker SPEAKER_41
transcript.pyannote[1774].start 9384.03284375
transcript.pyannote[1774].end 9385.85534375
transcript.pyannote[1775].speaker SPEAKER_41
transcript.pyannote[1775].start 9385.90596875
transcript.pyannote[1775].end 9387.30659375
transcript.pyannote[1776].speaker SPEAKER_18
transcript.pyannote[1776].start 9387.30659375
transcript.pyannote[1776].end 9388.87596875
transcript.pyannote[1777].speaker SPEAKER_41
transcript.pyannote[1777].start 9387.32346875
transcript.pyannote[1777].end 9398.78159375
transcript.pyannote[1778].speaker SPEAKER_15
transcript.pyannote[1778].start 9388.87596875
transcript.pyannote[1778].end 9388.97721875
transcript.pyannote[1779].speaker SPEAKER_18
transcript.pyannote[1779].start 9388.97721875
transcript.pyannote[1779].end 9389.19659375
transcript.pyannote[1780].speaker SPEAKER_18
transcript.pyannote[1780].start 9389.50034375
transcript.pyannote[1780].end 9389.53409375
transcript.pyannote[1781].speaker SPEAKER_18
transcript.pyannote[1781].start 9390.41159375
transcript.pyannote[1781].end 9390.86721875
transcript.pyannote[1782].speaker SPEAKER_15
transcript.pyannote[1782].start 9390.86721875
transcript.pyannote[1782].end 9390.96846875
transcript.pyannote[1783].speaker SPEAKER_24
transcript.pyannote[1783].start 9390.96846875
transcript.pyannote[1783].end 9391.01909375
transcript.pyannote[1784].speaker SPEAKER_15
transcript.pyannote[1784].start 9391.01909375
transcript.pyannote[1784].end 9391.06971875
transcript.pyannote[1785].speaker SPEAKER_18
transcript.pyannote[1785].start 9395.86221875
transcript.pyannote[1785].end 9395.87909375
transcript.pyannote[1786].speaker SPEAKER_24
transcript.pyannote[1786].start 9395.87909375
transcript.pyannote[1786].end 9396.03096875
transcript.pyannote[1787].speaker SPEAKER_18
transcript.pyannote[1787].start 9396.03096875
transcript.pyannote[1787].end 9396.43596875
transcript.pyannote[1788].speaker SPEAKER_18
transcript.pyannote[1788].start 9396.84096875
transcript.pyannote[1788].end 9397.46534375
transcript.pyannote[1789].speaker SPEAKER_18
transcript.pyannote[1789].start 9398.78159375
transcript.pyannote[1789].end 9404.04659375
transcript.pyannote[1790].speaker SPEAKER_41
transcript.pyannote[1790].start 9402.46034375
transcript.pyannote[1790].end 9403.70909375
transcript.pyannote[1791].speaker SPEAKER_41
transcript.pyannote[1791].start 9404.04659375
transcript.pyannote[1791].end 9404.85659375
transcript.pyannote[1792].speaker SPEAKER_41
transcript.pyannote[1792].start 9405.56534375
transcript.pyannote[1792].end 9406.03784375
transcript.pyannote[1793].speaker SPEAKER_41
transcript.pyannote[1793].start 9406.32471875
transcript.pyannote[1793].end 9415.85909375
transcript.pyannote[1794].speaker SPEAKER_18
transcript.pyannote[1794].start 9408.28221875
transcript.pyannote[1794].end 9408.43409375
transcript.pyannote[1795].speaker SPEAKER_18
transcript.pyannote[1795].start 9416.14596875
transcript.pyannote[1795].end 9431.73846875
transcript.pyannote[1796].speaker SPEAKER_18
transcript.pyannote[1796].start 9431.82284375
transcript.pyannote[1796].end 9438.72471875
transcript.pyannote[1797].speaker SPEAKER_18
transcript.pyannote[1797].start 9438.92721875
transcript.pyannote[1797].end 9457.05096875
transcript.pyannote[1798].speaker SPEAKER_18
transcript.pyannote[1798].start 9457.59096875
transcript.pyannote[1798].end 9473.09909375
transcript.pyannote[1799].speaker SPEAKER_18
transcript.pyannote[1799].start 9473.25096875
transcript.pyannote[1799].end 9481.85721875
transcript.pyannote[1800].speaker SPEAKER_18
transcript.pyannote[1800].start 9482.11034375
transcript.pyannote[1800].end 9489.53534375
transcript.pyannote[1801].speaker SPEAKER_14
transcript.pyannote[1801].start 9482.85284375
transcript.pyannote[1801].end 9483.32534375
transcript.pyannote[1802].speaker SPEAKER_18
transcript.pyannote[1802].start 9489.77159375
transcript.pyannote[1802].end 9494.53034375
transcript.pyannote[1803].speaker SPEAKER_18
transcript.pyannote[1803].start 9495.00284375
transcript.pyannote[1803].end 9500.97659375
transcript.pyannote[1804].speaker SPEAKER_41
transcript.pyannote[1804].start 9500.03159375
transcript.pyannote[1804].end 9501.28034375
transcript.pyannote[1805].speaker SPEAKER_24
transcript.pyannote[1805].start 9500.97659375
transcript.pyannote[1805].end 9501.02721875
transcript.pyannote[1806].speaker SPEAKER_18
transcript.pyannote[1806].start 9501.12846875
transcript.pyannote[1806].end 9501.33096875
transcript.pyannote[1807].speaker SPEAKER_24
transcript.pyannote[1807].start 9501.28034375
transcript.pyannote[1807].end 9501.31409375
transcript.pyannote[1808].speaker SPEAKER_41
transcript.pyannote[1808].start 9501.31409375
transcript.pyannote[1808].end 9501.36471875
transcript.pyannote[1809].speaker SPEAKER_24
transcript.pyannote[1809].start 9501.33096875
transcript.pyannote[1809].end 9502.12409375
transcript.pyannote[1810].speaker SPEAKER_18
transcript.pyannote[1810].start 9501.36471875
transcript.pyannote[1810].end 9501.39846875
transcript.pyannote[1811].speaker SPEAKER_18
transcript.pyannote[1811].start 9501.46596875
transcript.pyannote[1811].end 9506.05596875
transcript.pyannote[1812].speaker SPEAKER_41
transcript.pyannote[1812].start 9504.72284375
transcript.pyannote[1812].end 9507.81096875
transcript.pyannote[1813].speaker SPEAKER_17
transcript.pyannote[1813].start 9506.05596875
transcript.pyannote[1813].end 9506.07284375
transcript.pyannote[1814].speaker SPEAKER_18
transcript.pyannote[1814].start 9506.07284375
transcript.pyannote[1814].end 9506.08971875
transcript.pyannote[1815].speaker SPEAKER_17
transcript.pyannote[1815].start 9506.08971875
transcript.pyannote[1815].end 9506.15721875
transcript.pyannote[1816].speaker SPEAKER_41
transcript.pyannote[1816].start 9508.48596875
transcript.pyannote[1816].end 9509.29596875
transcript.pyannote[1817].speaker SPEAKER_17
transcript.pyannote[1817].start 9508.50284375
transcript.pyannote[1817].end 9510.05534375
transcript.pyannote[1818].speaker SPEAKER_17
transcript.pyannote[1818].start 9511.10159375
transcript.pyannote[1818].end 9520.53471875
transcript.pyannote[1819].speaker SPEAKER_17
transcript.pyannote[1819].start 9521.32784375
transcript.pyannote[1819].end 9536.17784375
transcript.pyannote[1820].speaker SPEAKER_17
transcript.pyannote[1820].start 9536.80221875
transcript.pyannote[1820].end 9548.91846875
transcript.pyannote[1821].speaker SPEAKER_17
transcript.pyannote[1821].start 9549.12096875
transcript.pyannote[1821].end 9552.02346875
transcript.pyannote[1822].speaker SPEAKER_17
transcript.pyannote[1822].start 9552.37784375
transcript.pyannote[1822].end 9557.71034375
transcript.pyannote[1823].speaker SPEAKER_17
transcript.pyannote[1823].start 9557.82846875
transcript.pyannote[1823].end 9564.96659375
transcript.pyannote[1824].speaker SPEAKER_17
transcript.pyannote[1824].start 9565.23659375
transcript.pyannote[1824].end 9570.46784375
transcript.pyannote[1825].speaker SPEAKER_17
transcript.pyannote[1825].start 9571.22721875
transcript.pyannote[1825].end 9579.37784375
transcript.pyannote[1826].speaker SPEAKER_17
transcript.pyannote[1826].start 9579.59721875
transcript.pyannote[1826].end 9587.96721875
transcript.pyannote[1827].speaker SPEAKER_17
transcript.pyannote[1827].start 9588.40596875
transcript.pyannote[1827].end 9600.43784375
transcript.pyannote[1828].speaker SPEAKER_17
transcript.pyannote[1828].start 9600.52221875
transcript.pyannote[1828].end 9604.06596875
transcript.pyannote[1829].speaker SPEAKER_17
transcript.pyannote[1829].start 9604.52159375
transcript.pyannote[1829].end 9613.33034375
transcript.pyannote[1830].speaker SPEAKER_17
transcript.pyannote[1830].start 9614.20784375
transcript.pyannote[1830].end 9615.32159375
transcript.pyannote[1831].speaker SPEAKER_29
transcript.pyannote[1831].start 9615.33846875
transcript.pyannote[1831].end 9645.64596875
transcript.pyannote[1832].speaker SPEAKER_17
transcript.pyannote[1832].start 9619.81034375
transcript.pyannote[1832].end 9620.18159375
transcript.pyannote[1833].speaker SPEAKER_24
transcript.pyannote[1833].start 9645.64596875
transcript.pyannote[1833].end 9646.00034375
transcript.pyannote[1834].speaker SPEAKER_29
transcript.pyannote[1834].start 9645.66284375
transcript.pyannote[1834].end 9645.69659375
transcript.pyannote[1835].speaker SPEAKER_29
transcript.pyannote[1835].start 9645.94971875
transcript.pyannote[1835].end 9685.04909375
transcript.pyannote[1836].speaker SPEAKER_24
transcript.pyannote[1836].start 9647.31659375
transcript.pyannote[1836].end 9648.07596875
transcript.pyannote[1837].speaker SPEAKER_31
transcript.pyannote[1837].start 9674.72159375
transcript.pyannote[1837].end 9674.97471875
transcript.pyannote[1838].speaker SPEAKER_00
transcript.pyannote[1838].start 9674.97471875
transcript.pyannote[1838].end 9675.05909375
transcript.pyannote[1839].speaker SPEAKER_24
transcript.pyannote[1839].start 9685.04909375
transcript.pyannote[1839].end 9685.25159375
transcript.pyannote[1840].speaker SPEAKER_29
transcript.pyannote[1840].start 9685.25159375
transcript.pyannote[1840].end 9710.39534375
transcript.pyannote[1841].speaker SPEAKER_24
transcript.pyannote[1841].start 9709.93971875
transcript.pyannote[1841].end 9710.14221875
transcript.pyannote[1842].speaker SPEAKER_29
transcript.pyannote[1842].start 9710.93534375
transcript.pyannote[1842].end 9740.88846875
transcript.pyannote[1843].speaker SPEAKER_00
transcript.pyannote[1843].start 9720.26721875
transcript.pyannote[1843].end 9720.68909375
transcript.pyannote[1844].speaker SPEAKER_00
transcript.pyannote[1844].start 9721.46534375
transcript.pyannote[1844].end 9721.61721875
transcript.pyannote[1845].speaker SPEAKER_24
transcript.pyannote[1845].start 9722.15721875
transcript.pyannote[1845].end 9722.46096875
transcript.pyannote[1846].speaker SPEAKER_24
transcript.pyannote[1846].start 9724.16534375
transcript.pyannote[1846].end 9724.45221875
transcript.pyannote[1847].speaker SPEAKER_24
transcript.pyannote[1847].start 9726.56159375
transcript.pyannote[1847].end 9726.89909375
transcript.pyannote[1848].speaker SPEAKER_15
transcript.pyannote[1848].start 9731.99534375
transcript.pyannote[1848].end 9732.21471875
transcript.pyannote[1849].speaker SPEAKER_18
transcript.pyannote[1849].start 9739.87596875
transcript.pyannote[1849].end 9740.14596875
transcript.pyannote[1850].speaker SPEAKER_18
transcript.pyannote[1850].start 9741.46221875
transcript.pyannote[1850].end 9741.47909375
transcript.pyannote[1851].speaker SPEAKER_11
transcript.pyannote[1851].start 9741.47909375
transcript.pyannote[1851].end 9742.57596875
transcript.pyannote[1852].speaker SPEAKER_11
transcript.pyannote[1852].start 9744.60096875
transcript.pyannote[1852].end 9745.59659375
transcript.pyannote[1853].speaker SPEAKER_11
transcript.pyannote[1853].start 9745.95096875
transcript.pyannote[1853].end 9790.33221875
transcript.pyannote[1854].speaker SPEAKER_18
transcript.pyannote[1854].start 9790.33221875
transcript.pyannote[1854].end 9790.34909375
transcript.pyannote[1855].speaker SPEAKER_11
transcript.pyannote[1855].start 9790.34909375
transcript.pyannote[1855].end 9790.38284375
transcript.pyannote[1856].speaker SPEAKER_11
transcript.pyannote[1856].start 9790.97346875
transcript.pyannote[1856].end 9791.02409375
transcript.pyannote[1857].speaker SPEAKER_18
transcript.pyannote[1857].start 9791.02409375
transcript.pyannote[1857].end 9791.76659375
transcript.pyannote[1858].speaker SPEAKER_11
transcript.pyannote[1858].start 9791.76659375
transcript.pyannote[1858].end 9792.05346875
transcript.pyannote[1859].speaker SPEAKER_18
transcript.pyannote[1859].start 9792.05346875
transcript.pyannote[1859].end 9796.99784375
transcript.pyannote[1860].speaker SPEAKER_18
transcript.pyannote[1860].start 9797.60534375
transcript.pyannote[1860].end 9822.05721875
transcript.pyannote[1861].speaker SPEAKER_24
transcript.pyannote[1861].start 9822.42846875
transcript.pyannote[1861].end 9823.47471875
transcript.pyannote[1862].speaker SPEAKER_18
transcript.pyannote[1862].start 9823.20471875
transcript.pyannote[1862].end 9823.25534375
transcript.pyannote[1863].speaker SPEAKER_16
transcript.pyannote[1863].start 9823.25534375
transcript.pyannote[1863].end 9823.47471875
transcript.pyannote[1864].speaker SPEAKER_18
transcript.pyannote[1864].start 9823.47471875
transcript.pyannote[1864].end 9823.96409375
transcript.pyannote[1865].speaker SPEAKER_16
transcript.pyannote[1865].start 9823.96409375
transcript.pyannote[1865].end 9852.85409375
transcript.pyannote[1866].speaker SPEAKER_05
transcript.pyannote[1866].start 9853.36034375
transcript.pyannote[1866].end 9853.39409375
transcript.pyannote[1867].speaker SPEAKER_08
transcript.pyannote[1867].start 9853.39409375
transcript.pyannote[1867].end 9854.57534375
transcript.pyannote[1868].speaker SPEAKER_05
transcript.pyannote[1868].start 9854.57534375
transcript.pyannote[1868].end 9858.91221875
transcript.pyannote[1869].speaker SPEAKER_05
transcript.pyannote[1869].start 9859.40159375
transcript.pyannote[1869].end 9864.59909375
transcript.pyannote[1870].speaker SPEAKER_05
transcript.pyannote[1870].start 9865.49346875
transcript.pyannote[1870].end 9893.06721875
transcript.pyannote[1871].speaker SPEAKER_24
transcript.pyannote[1871].start 9893.06721875
transcript.pyannote[1871].end 9893.37096875
transcript.pyannote[1872].speaker SPEAKER_05
transcript.pyannote[1872].start 9893.75909375
transcript.pyannote[1872].end 9897.20159375
transcript.pyannote[1873].speaker SPEAKER_05
transcript.pyannote[1873].start 9897.48846875
transcript.pyannote[1873].end 9913.87409375
transcript.pyannote[1874].speaker SPEAKER_05
transcript.pyannote[1874].start 9914.14409375
transcript.pyannote[1874].end 9914.54909375
transcript.pyannote[1875].speaker SPEAKER_05
transcript.pyannote[1875].start 9914.65034375
transcript.pyannote[1875].end 9915.98346875
transcript.pyannote[1876].speaker SPEAKER_05
transcript.pyannote[1876].start 9916.40534375
transcript.pyannote[1876].end 9918.64971875
transcript.pyannote[1877].speaker SPEAKER_18
transcript.pyannote[1877].start 9918.64971875
transcript.pyannote[1877].end 9918.68346875
transcript.pyannote[1878].speaker SPEAKER_05
transcript.pyannote[1878].start 9919.22346875
transcript.pyannote[1878].end 9919.96596875
transcript.pyannote[1879].speaker SPEAKER_18
transcript.pyannote[1879].start 9919.96596875
transcript.pyannote[1879].end 9937.83659375
transcript.pyannote[1880].speaker SPEAKER_15
transcript.pyannote[1880].start 9937.04346875
transcript.pyannote[1880].end 9937.81971875
transcript.pyannote[1881].speaker SPEAKER_15
transcript.pyannote[1881].start 9937.83659375
transcript.pyannote[1881].end 9940.28346875
transcript.pyannote[1882].speaker SPEAKER_18
transcript.pyannote[1882].start 9940.85721875
transcript.pyannote[1882].end 9942.25784375
transcript.pyannote[1883].speaker SPEAKER_18
transcript.pyannote[1883].start 9943.59096875
transcript.pyannote[1883].end 9970.89471875
transcript.pyannote[1884].speaker SPEAKER_15
transcript.pyannote[1884].start 9960.04409375
transcript.pyannote[1884].end 9960.36471875
transcript.pyannote[1885].speaker SPEAKER_24
transcript.pyannote[1885].start 9970.89471875
transcript.pyannote[1885].end 9971.80596875
transcript.pyannote[1886].speaker SPEAKER_18
transcript.pyannote[1886].start 9971.80596875
transcript.pyannote[1886].end 9982.03221875
transcript.pyannote[1887].speaker SPEAKER_17
transcript.pyannote[1887].start 9982.03221875
transcript.pyannote[1887].end 9982.04909375
transcript.pyannote[1888].speaker SPEAKER_17
transcript.pyannote[1888].start 9982.13346875
transcript.pyannote[1888].end 9982.20096875
transcript.pyannote[1889].speaker SPEAKER_18
transcript.pyannote[1889].start 9982.20096875
transcript.pyannote[1889].end 9984.02346875
transcript.pyannote[1890].speaker SPEAKER_17
transcript.pyannote[1890].start 9984.02346875
transcript.pyannote[1890].end 10020.77721875
transcript.pyannote[1891].speaker SPEAKER_17
transcript.pyannote[1891].start 10021.19909375
transcript.pyannote[1891].end 10039.37346875
transcript.pyannote[1892].speaker SPEAKER_17
transcript.pyannote[1892].start 10039.82909375
transcript.pyannote[1892].end 10040.30159375
transcript.pyannote[1893].speaker SPEAKER_17
transcript.pyannote[1893].start 10041.22971875
transcript.pyannote[1893].end 10042.63034375
transcript.pyannote[1894].speaker SPEAKER_17
transcript.pyannote[1894].start 10042.86659375
transcript.pyannote[1894].end 10044.40221875
transcript.pyannote[1895].speaker SPEAKER_17
transcript.pyannote[1895].start 10045.07721875
transcript.pyannote[1895].end 10047.64221875
transcript.pyannote[1896].speaker SPEAKER_17
transcript.pyannote[1896].start 10048.57034375
transcript.pyannote[1896].end 10050.67971875
transcript.pyannote[1897].speaker SPEAKER_17
transcript.pyannote[1897].start 10051.54034375
transcript.pyannote[1897].end 10051.96221875
transcript.pyannote[1898].speaker SPEAKER_17
transcript.pyannote[1898].start 10052.60346875
transcript.pyannote[1898].end 10060.83846875
transcript.pyannote[1899].speaker SPEAKER_17
transcript.pyannote[1899].start 10061.49659375
transcript.pyannote[1899].end 10063.18409375
transcript.pyannote[1900].speaker SPEAKER_17
transcript.pyannote[1900].start 10063.70721875
transcript.pyannote[1900].end 10075.46909375
transcript.pyannote[1901].speaker SPEAKER_17
transcript.pyannote[1901].start 10075.82346875
transcript.pyannote[1901].end 10089.35721875
transcript.pyannote[1902].speaker SPEAKER_17
transcript.pyannote[1902].start 10089.98159375
transcript.pyannote[1902].end 10117.18409375
transcript.pyannote[1903].speaker SPEAKER_37
transcript.pyannote[1903].start 10117.18409375
transcript.pyannote[1903].end 10117.20096875
transcript.pyannote[1904].speaker SPEAKER_37
transcript.pyannote[1904].start 10119.51284375
transcript.pyannote[1904].end 10247.71221875
transcript.pyannote[1905].speaker SPEAKER_18
transcript.pyannote[1905].start 10251.07034375
transcript.pyannote[1905].end 10253.80409375
transcript.pyannote[1906].speaker SPEAKER_18
transcript.pyannote[1906].start 10254.58034375
transcript.pyannote[1906].end 10262.69721875
transcript.pyannote[1907].speaker SPEAKER_18
transcript.pyannote[1907].start 10263.15284375
transcript.pyannote[1907].end 10266.13971875
transcript.pyannote[1908].speaker SPEAKER_18
transcript.pyannote[1908].start 10266.69659375
transcript.pyannote[1908].end 10267.77659375
transcript.pyannote[1909].speaker SPEAKER_18
transcript.pyannote[1909].start 10267.87784375
transcript.pyannote[1909].end 10268.92409375
transcript.pyannote[1910].speaker SPEAKER_18
transcript.pyannote[1910].start 10269.27846875
transcript.pyannote[1910].end 10271.47221875
transcript.pyannote[1911].speaker SPEAKER_18
transcript.pyannote[1911].start 10271.75909375
transcript.pyannote[1911].end 10277.42909375
transcript.pyannote[1912].speaker SPEAKER_18
transcript.pyannote[1912].start 10278.25596875
transcript.pyannote[1912].end 10282.05284375
transcript.pyannote[1913].speaker SPEAKER_18
transcript.pyannote[1913].start 10282.08659375
transcript.pyannote[1913].end 10282.10346875
transcript.pyannote[1914].speaker SPEAKER_18
transcript.pyannote[1914].start 10282.28909375
transcript.pyannote[1914].end 10292.65034375
transcript.pyannote[1915].speaker SPEAKER_18
transcript.pyannote[1915].start 10292.73471875
transcript.pyannote[1915].end 10302.37034375
transcript.pyannote[1916].speaker SPEAKER_18
transcript.pyannote[1916].start 10303.02846875
transcript.pyannote[1916].end 10310.08221875
transcript.pyannote[1917].speaker SPEAKER_18
transcript.pyannote[1917].start 10310.36909375
transcript.pyannote[1917].end 10317.38909375
transcript.pyannote[1918].speaker SPEAKER_11
transcript.pyannote[1918].start 10318.18221875
transcript.pyannote[1918].end 10319.83596875
transcript.pyannote[1919].speaker SPEAKER_11
transcript.pyannote[1919].start 10320.98346875
transcript.pyannote[1919].end 10374.91596875
transcript.pyannote[1920].speaker SPEAKER_11
transcript.pyannote[1920].start 10376.26596875
transcript.pyannote[1920].end 10377.78471875
transcript.pyannote[1921].speaker SPEAKER_11
transcript.pyannote[1921].start 10378.29096875
transcript.pyannote[1921].end 10378.96596875
transcript.pyannote[1922].speaker SPEAKER_17
transcript.pyannote[1922].start 10378.96596875
transcript.pyannote[1922].end 10400.41409375
transcript.pyannote[1923].speaker SPEAKER_18
transcript.pyannote[1923].start 10402.62471875
transcript.pyannote[1923].end 10403.31659375
transcript.pyannote[1924].speaker SPEAKER_18
transcript.pyannote[1924].start 10404.63284375
transcript.pyannote[1924].end 10406.53971875
transcript.pyannote[1925].speaker SPEAKER_18
transcript.pyannote[1925].start 10407.09659375
transcript.pyannote[1925].end 10420.30971875
transcript.pyannote[1926].speaker SPEAKER_18
transcript.pyannote[1926].start 10420.64721875
transcript.pyannote[1926].end 10422.77346875
transcript.pyannote[1927].speaker SPEAKER_18
transcript.pyannote[1927].start 10422.97596875
transcript.pyannote[1927].end 10426.13159375
transcript.pyannote[1928].speaker SPEAKER_18
transcript.pyannote[1928].start 10426.53659375
transcript.pyannote[1928].end 10429.64159375
transcript.pyannote[1929].speaker SPEAKER_18
transcript.pyannote[1929].start 10430.19846875
transcript.pyannote[1929].end 10442.61846875
transcript.pyannote[1930].speaker SPEAKER_18
transcript.pyannote[1930].start 10443.05721875
transcript.pyannote[1930].end 10452.55784375
transcript.pyannote[1931].speaker SPEAKER_18
transcript.pyannote[1931].start 10453.23284375
transcript.pyannote[1931].end 10454.49846875
transcript.pyannote[1932].speaker SPEAKER_18
transcript.pyannote[1932].start 10454.76846875
transcript.pyannote[1932].end 10463.17221875
transcript.pyannote[1933].speaker SPEAKER_18
transcript.pyannote[1933].start 10463.57721875
transcript.pyannote[1933].end 10468.43721875
transcript.pyannote[1934].speaker SPEAKER_18
transcript.pyannote[1934].start 10468.52159375
transcript.pyannote[1934].end 10479.28784375
transcript.pyannote[1935].speaker SPEAKER_18
transcript.pyannote[1935].start 10479.87846875
transcript.pyannote[1935].end 10482.61221875
transcript.pyannote[1936].speaker SPEAKER_18
transcript.pyannote[1936].start 10483.05096875
transcript.pyannote[1936].end 10488.61971875
transcript.pyannote[1937].speaker SPEAKER_18
transcript.pyannote[1937].start 10489.05846875
transcript.pyannote[1937].end 10497.68159375
transcript.pyannote[1938].speaker SPEAKER_18
transcript.pyannote[1938].start 10497.90096875
transcript.pyannote[1938].end 10502.81159375
transcript.pyannote[1939].speaker SPEAKER_18
transcript.pyannote[1939].start 10503.03096875
transcript.pyannote[1939].end 10503.63846875
transcript.pyannote[1940].speaker SPEAKER_18
transcript.pyannote[1940].start 10504.33034375
transcript.pyannote[1940].end 10504.70159375
transcript.pyannote[1941].speaker SPEAKER_18
transcript.pyannote[1941].start 10505.32596875
transcript.pyannote[1941].end 10506.81096875
transcript.pyannote[1942].speaker SPEAKER_18
transcript.pyannote[1942].start 10507.50284375
transcript.pyannote[1942].end 10508.32971875
transcript.pyannote[1943].speaker SPEAKER_18
transcript.pyannote[1943].start 10508.90346875
transcript.pyannote[1943].end 10522.92659375
transcript.pyannote[1944].speaker SPEAKER_18
transcript.pyannote[1944].start 10523.70284375
transcript.pyannote[1944].end 10524.47909375
transcript.pyannote[1945].speaker SPEAKER_18
transcript.pyannote[1945].start 10525.00221875
transcript.pyannote[1945].end 10526.03159375
transcript.pyannote[1946].speaker SPEAKER_18
transcript.pyannote[1946].start 10526.74034375
transcript.pyannote[1946].end 10531.88721875
transcript.pyannote[1947].speaker SPEAKER_18
transcript.pyannote[1947].start 10532.22471875
transcript.pyannote[1947].end 10541.55659375
transcript.pyannote[1948].speaker SPEAKER_18
transcript.pyannote[1948].start 10541.65784375
transcript.pyannote[1948].end 10543.12596875
transcript.pyannote[1949].speaker SPEAKER_18
transcript.pyannote[1949].start 10543.37909375
transcript.pyannote[1949].end 10544.05409375
transcript.pyannote[1950].speaker SPEAKER_18
transcript.pyannote[1950].start 10544.72909375
transcript.pyannote[1950].end 10547.69909375
transcript.pyannote[1951].speaker SPEAKER_18
transcript.pyannote[1951].start 10548.37409375
transcript.pyannote[1951].end 10548.74534375
transcript.pyannote[1952].speaker SPEAKER_18
transcript.pyannote[1952].start 10549.23471875
transcript.pyannote[1952].end 10550.17971875
transcript.pyannote[1953].speaker SPEAKER_18
transcript.pyannote[1953].start 10550.73659375
transcript.pyannote[1953].end 10551.98534375
transcript.pyannote[1954].speaker SPEAKER_18
transcript.pyannote[1954].start 10552.54221875
transcript.pyannote[1954].end 10556.57534375
transcript.pyannote[1955].speaker SPEAKER_18
transcript.pyannote[1955].start 10557.04784375
transcript.pyannote[1955].end 10558.22909375
transcript.pyannote[1956].speaker SPEAKER_18
transcript.pyannote[1956].start 10558.68471875
transcript.pyannote[1956].end 10563.42659375
transcript.pyannote[1957].speaker SPEAKER_18
transcript.pyannote[1957].start 10564.20284375
transcript.pyannote[1957].end 10565.16471875
transcript.pyannote[1958].speaker SPEAKER_18
transcript.pyannote[1958].start 10565.68784375
transcript.pyannote[1958].end 10568.65784375
transcript.pyannote[1959].speaker SPEAKER_18
transcript.pyannote[1959].start 10569.21471875
transcript.pyannote[1959].end 10570.64909375
transcript.pyannote[1960].speaker SPEAKER_18
transcript.pyannote[1960].start 10571.17221875
transcript.pyannote[1960].end 10572.77534375
transcript.pyannote[1961].speaker SPEAKER_18
transcript.pyannote[1961].start 10573.23096875
transcript.pyannote[1961].end 10579.59284375
transcript.pyannote[1962].speaker SPEAKER_18
transcript.pyannote[1962].start 10580.11596875
transcript.pyannote[1962].end 10583.52471875
transcript.pyannote[1963].speaker SPEAKER_18
transcript.pyannote[1963].start 10583.84534375
transcript.pyannote[1963].end 10586.83221875
transcript.pyannote[1964].speaker SPEAKER_18
transcript.pyannote[1964].start 10587.40596875
transcript.pyannote[1964].end 10588.75596875
transcript.pyannote[1965].speaker SPEAKER_18
transcript.pyannote[1965].start 10589.31284375
transcript.pyannote[1965].end 10592.43471875
transcript.pyannote[1966].speaker SPEAKER_18
transcript.pyannote[1966].start 10592.89034375
transcript.pyannote[1966].end 10610.45721875
transcript.pyannote[1967].speaker SPEAKER_18
transcript.pyannote[1967].start 10611.16596875
transcript.pyannote[1967].end 10614.84471875
transcript.pyannote[1968].speaker SPEAKER_18
transcript.pyannote[1968].start 10615.09784375
transcript.pyannote[1968].end 10617.29159375
transcript.pyannote[1969].speaker SPEAKER_18
transcript.pyannote[1969].start 10617.98346875
transcript.pyannote[1969].end 10619.36721875
transcript.pyannote[1970].speaker SPEAKER_41
transcript.pyannote[1970].start 10622.25284375
transcript.pyannote[1970].end 10687.37346875
transcript.pyannote[1971].speaker SPEAKER_41
transcript.pyannote[1971].start 10689.43221875
transcript.pyannote[1971].end 10690.96784375
transcript.pyannote[1972].speaker SPEAKER_18
transcript.pyannote[1972].start 10690.96784375
transcript.pyannote[1972].end 10691.57534375
transcript.pyannote[1973].speaker SPEAKER_18
transcript.pyannote[1973].start 10692.08159375
transcript.pyannote[1973].end 10695.06846875
transcript.pyannote[1974].speaker SPEAKER_18
transcript.pyannote[1974].start 10695.91221875
transcript.pyannote[1974].end 10698.69659375
transcript.pyannote[1975].speaker SPEAKER_18
transcript.pyannote[1975].start 10699.27034375
transcript.pyannote[1975].end 10700.21534375
transcript.pyannote[1976].speaker SPEAKER_18
transcript.pyannote[1976].start 10700.77221875
transcript.pyannote[1976].end 10713.96846875
transcript.pyannote[1977].speaker SPEAKER_39
transcript.pyannote[1977].start 10702.99971875
transcript.pyannote[1977].end 10706.20596875
transcript.pyannote[1978].speaker SPEAKER_11
transcript.pyannote[1978].start 10713.96846875
transcript.pyannote[1978].end 10726.03409375
transcript.pyannote[1979].speaker SPEAKER_25
transcript.pyannote[1979].start 10726.03409375
transcript.pyannote[1979].end 10740.96846875
transcript.pyannote[1980].speaker SPEAKER_11
transcript.pyannote[1980].start 10740.96846875
transcript.pyannote[1980].end 10745.96346875
transcript.pyannote[1981].speaker SPEAKER_25
transcript.pyannote[1981].start 10745.96346875
transcript.pyannote[1981].end 10756.96596875
transcript.pyannote[1982].speaker SPEAKER_18
transcript.pyannote[1982].start 10756.96596875
transcript.pyannote[1982].end 10760.62784375
transcript.pyannote[1983].speaker SPEAKER_18
transcript.pyannote[1983].start 10760.91471875
transcript.pyannote[1983].end 10761.37034375
transcript.pyannote[1984].speaker SPEAKER_18
transcript.pyannote[1984].start 10761.64034375
transcript.pyannote[1984].end 10763.93534375
transcript.pyannote[1985].speaker SPEAKER_18
transcript.pyannote[1985].start 10764.27284375
transcript.pyannote[1985].end 10771.81596875
transcript.pyannote[1986].speaker SPEAKER_18
transcript.pyannote[1986].start 10773.99284375
transcript.pyannote[1986].end 10775.34284375
transcript.pyannote[1987].speaker SPEAKER_23
transcript.pyannote[1987].start 10790.15909375
transcript.pyannote[1987].end 10800.77346875
transcript.pyannote[1988].speaker SPEAKER_24
transcript.pyannote[1988].start 10802.29221875
transcript.pyannote[1988].end 10803.03471875
transcript.pyannote[1989].speaker SPEAKER_23
transcript.pyannote[1989].start 10804.14846875
transcript.pyannote[1989].end 10804.97534375
transcript.pyannote[1990].speaker SPEAKER_18
transcript.pyannote[1990].start 10804.97534375
transcript.pyannote[1990].end 10808.11409375
transcript.pyannote[1991].speaker SPEAKER_18
transcript.pyannote[1991].start 10808.38409375
transcript.pyannote[1991].end 10816.24784375
transcript.pyannote[1992].speaker SPEAKER_18
transcript.pyannote[1992].start 10816.72034375
transcript.pyannote[1992].end 10820.28096875
transcript.pyannote[1993].speaker SPEAKER_18
transcript.pyannote[1993].start 10820.92221875
transcript.pyannote[1993].end 10821.58034375
transcript.pyannote[1994].speaker SPEAKER_18
transcript.pyannote[1994].start 10822.06971875
transcript.pyannote[1994].end 10842.03284375
transcript.pyannote[1995].speaker SPEAKER_18
transcript.pyannote[1995].start 10845.93096875
transcript.pyannote[1995].end 10849.05284375
transcript.pyannote[1996].speaker SPEAKER_18
transcript.pyannote[1996].start 10849.72784375
transcript.pyannote[1996].end 10850.77409375
transcript.pyannote[1997].speaker SPEAKER_18
transcript.pyannote[1997].start 10851.21284375
transcript.pyannote[1997].end 10851.78659375
transcript.pyannote[1998].speaker SPEAKER_18
transcript.pyannote[1998].start 10852.34346875
transcript.pyannote[1998].end 10856.20784375
transcript.pyannote[1999].speaker SPEAKER_18
transcript.pyannote[1999].start 10856.93346875
transcript.pyannote[1999].end 10867.49721875
transcript.pyannote[2000].speaker SPEAKER_08
transcript.pyannote[2000].start 10868.30721875
transcript.pyannote[2000].end 10869.84284375
transcript.pyannote[2001].speaker SPEAKER_18
transcript.pyannote[2001].start 10869.31971875
transcript.pyannote[2001].end 10869.33659375
transcript.pyannote[2002].speaker SPEAKER_37
transcript.pyannote[2002].start 10869.33659375
transcript.pyannote[2002].end 10869.35346875
transcript.pyannote[2003].speaker SPEAKER_18
transcript.pyannote[2003].start 10869.35346875
transcript.pyannote[2003].end 10869.80909375
transcript.pyannote[2004].speaker SPEAKER_37
transcript.pyannote[2004].start 10869.80909375
transcript.pyannote[2004].end 10904.48721875
transcript.pyannote[2005].speaker SPEAKER_18
transcript.pyannote[2005].start 10869.84284375
transcript.pyannote[2005].end 10869.85971875
transcript.pyannote[2006].speaker SPEAKER_18
transcript.pyannote[2006].start 10907.25471875
transcript.pyannote[2006].end 10914.02159375
transcript.pyannote[2007].speaker SPEAKER_18
transcript.pyannote[2007].start 10914.49409375
transcript.pyannote[2007].end 10916.26596875
transcript.pyannote[2008].speaker SPEAKER_18
transcript.pyannote[2008].start 10916.70471875
transcript.pyannote[2008].end 10920.04596875
transcript.pyannote[2009].speaker SPEAKER_18
transcript.pyannote[2009].start 10920.53534375
transcript.pyannote[2009].end 10921.19346875
transcript.pyannote[2010].speaker SPEAKER_18
transcript.pyannote[2010].start 10921.46346875
transcript.pyannote[2010].end 10924.48409375
transcript.pyannote[2011].speaker SPEAKER_18
transcript.pyannote[2011].start 10925.93534375
transcript.pyannote[2011].end 10927.57221875
transcript.pyannote[2012].speaker SPEAKER_18
transcript.pyannote[2012].start 10928.06159375
transcript.pyannote[2012].end 10929.25971875
transcript.pyannote[2013].speaker SPEAKER_18
transcript.pyannote[2013].start 10929.88409375
transcript.pyannote[2013].end 10931.06534375
transcript.pyannote[2014].speaker SPEAKER_18
transcript.pyannote[2014].start 10933.56284375
transcript.pyannote[2014].end 10935.14909375
transcript.pyannote[2015].speaker SPEAKER_18
transcript.pyannote[2015].start 10935.94221875
transcript.pyannote[2015].end 10936.53284375
transcript.pyannote[2016].speaker SPEAKER_18
transcript.pyannote[2016].start 10937.02221875
transcript.pyannote[2016].end 10937.52846875
transcript.pyannote[2017].speaker SPEAKER_18
transcript.pyannote[2017].start 10940.34659375
transcript.pyannote[2017].end 10941.42659375
transcript.pyannote[2018].speaker SPEAKER_18
transcript.pyannote[2018].start 10941.96659375
transcript.pyannote[2018].end 10942.40534375
transcript.pyannote[2019].speaker SPEAKER_18
transcript.pyannote[2019].start 10943.02971875
transcript.pyannote[2019].end 10943.89034375
transcript.pyannote[2020].speaker SPEAKER_18
transcript.pyannote[2020].start 10944.54846875
transcript.pyannote[2020].end 10945.99971875
transcript.pyannote[2021].speaker SPEAKER_08
transcript.pyannote[2021].start 10945.99971875
transcript.pyannote[2021].end 10946.11784375
transcript.pyannote[2022].speaker SPEAKER_08
transcript.pyannote[2022].start 10946.30346875
transcript.pyannote[2022].end 10946.45534375
transcript.pyannote[2023].speaker SPEAKER_18
transcript.pyannote[2023].start 10946.45534375
transcript.pyannote[2023].end 10946.50596875
transcript.pyannote[2024].speaker SPEAKER_08
transcript.pyannote[2024].start 10946.50596875
transcript.pyannote[2024].end 10947.23159375
transcript.pyannote[2025].speaker SPEAKER_18
transcript.pyannote[2025].start 10946.52284375
transcript.pyannote[2025].end 10948.96971875
transcript.pyannote[2026].speaker SPEAKER_08
transcript.pyannote[2026].start 10948.22721875
transcript.pyannote[2026].end 10950.21846875
transcript.pyannote[2027].speaker SPEAKER_08
transcript.pyannote[2027].start 10950.38721875
transcript.pyannote[2027].end 10958.84159375
transcript.pyannote[2028].speaker SPEAKER_08
transcript.pyannote[2028].start 10959.80346875
transcript.pyannote[2028].end 10960.10721875
transcript.pyannote[2029].speaker SPEAKER_18
transcript.pyannote[2029].start 10960.10721875
transcript.pyannote[2029].end 10960.14096875
transcript.pyannote[2030].speaker SPEAKER_08
transcript.pyannote[2030].start 10962.06471875
transcript.pyannote[2030].end 10962.08159375
transcript.pyannote[2031].speaker SPEAKER_18
transcript.pyannote[2031].start 10962.08159375
transcript.pyannote[2031].end 10962.62159375
transcript.pyannote[2032].speaker SPEAKER_18
transcript.pyannote[2032].start 10963.26284375
transcript.pyannote[2032].end 10982.70284375
transcript.pyannote[2033].speaker SPEAKER_18
transcript.pyannote[2033].start 10984.52534375
transcript.pyannote[2033].end 10984.98096875
transcript.pyannote[2034].speaker SPEAKER_18
transcript.pyannote[2034].start 10993.23284375
transcript.pyannote[2034].end 10993.46909375
transcript.pyannote[2035].speaker SPEAKER_18
transcript.pyannote[2035].start 10993.73909375
transcript.pyannote[2035].end 11007.84659375
transcript.pyannote[2036].speaker SPEAKER_24
transcript.pyannote[2036].start 10999.45971875
transcript.pyannote[2036].end 10999.47659375
transcript.pyannote[2037].speaker SPEAKER_08
transcript.pyannote[2037].start 10999.47659375
transcript.pyannote[2037].end 11000.62409375
transcript.pyannote[2038].speaker SPEAKER_08
transcript.pyannote[2038].start 11003.89784375
transcript.pyannote[2038].end 11004.03284375
transcript.pyannote[2039].speaker SPEAKER_25
transcript.pyannote[2039].start 11006.24346875
transcript.pyannote[2039].end 11006.54721875
transcript.pyannote[2040].speaker SPEAKER_25
transcript.pyannote[2040].start 11006.81721875
transcript.pyannote[2040].end 11007.57659375
transcript.pyannote[2041].speaker SPEAKER_25
transcript.pyannote[2041].start 11007.84659375
transcript.pyannote[2041].end 11007.88034375
transcript.pyannote[2042].speaker SPEAKER_18
transcript.pyannote[2042].start 11007.88034375
transcript.pyannote[2042].end 11007.96471875
transcript.pyannote[2043].speaker SPEAKER_25
transcript.pyannote[2043].start 11007.96471875
transcript.pyannote[2043].end 11010.02346875
transcript.pyannote[2044].speaker SPEAKER_25
transcript.pyannote[2044].start 11011.82909375
transcript.pyannote[2044].end 11016.03096875
transcript.pyannote[2045].speaker SPEAKER_18
transcript.pyannote[2045].start 11016.03096875
transcript.pyannote[2045].end 11023.96221875
transcript.pyannote[2046].speaker SPEAKER_25
transcript.pyannote[2046].start 11016.14909375
transcript.pyannote[2046].end 11016.97596875
transcript.pyannote[2047].speaker SPEAKER_25
transcript.pyannote[2047].start 11018.27534375
transcript.pyannote[2047].end 11018.32596875
transcript.pyannote[2048].speaker SPEAKER_14
transcript.pyannote[2048].start 11018.32596875
transcript.pyannote[2048].end 11020.11471875
transcript.pyannote[2049].speaker SPEAKER_18
transcript.pyannote[2049].start 11024.28284375
transcript.pyannote[2049].end 11028.51846875
transcript.pyannote[2050].speaker SPEAKER_18
transcript.pyannote[2050].start 11029.21034375
transcript.pyannote[2050].end 11035.03221875
transcript.pyannote[2051].speaker SPEAKER_18
transcript.pyannote[2051].start 11038.55909375
transcript.pyannote[2051].end 11040.90471875
transcript.pyannote[2052].speaker SPEAKER_18
transcript.pyannote[2052].start 11041.24221875
transcript.pyannote[2052].end 11043.03096875
transcript.pyannote[2053].speaker SPEAKER_18
transcript.pyannote[2053].start 11043.11534375
transcript.pyannote[2053].end 11045.03909375
transcript.pyannote[2054].speaker SPEAKER_18
transcript.pyannote[2054].start 11045.08971875
transcript.pyannote[2054].end 11046.23721875
transcript.pyannote[2055].speaker SPEAKER_18
transcript.pyannote[2055].start 11050.60784375
transcript.pyannote[2055].end 11052.04221875
transcript.pyannote[2056].speaker SPEAKER_18
transcript.pyannote[2056].start 11052.46409375
transcript.pyannote[2056].end 11052.97034375
transcript.pyannote[2057].speaker SPEAKER_18
transcript.pyannote[2057].start 11053.83096875
transcript.pyannote[2057].end 11054.10096875
transcript.pyannote[2058].speaker SPEAKER_18
transcript.pyannote[2058].start 11055.68721875
transcript.pyannote[2058].end 11056.78409375
transcript.pyannote[2059].speaker SPEAKER_18
transcript.pyannote[2059].start 11057.45909375
transcript.pyannote[2059].end 11058.01596875
transcript.pyannote[2060].speaker SPEAKER_18
transcript.pyannote[2060].start 11058.31971875
transcript.pyannote[2060].end 11061.22221875
transcript.pyannote[2061].speaker SPEAKER_18
transcript.pyannote[2061].start 11065.17096875
transcript.pyannote[2061].end 11066.16659375
transcript.pyannote[2062].speaker SPEAKER_18
transcript.pyannote[2062].start 11067.04409375
transcript.pyannote[2062].end 11067.56721875
transcript.pyannote[2063].speaker SPEAKER_18
transcript.pyannote[2063].start 11069.91284375
transcript.pyannote[2063].end 11072.29221875
transcript.pyannote[2064].speaker SPEAKER_18
transcript.pyannote[2064].start 11072.54534375
transcript.pyannote[2064].end 11074.40159375
transcript.pyannote[2065].speaker SPEAKER_18
transcript.pyannote[2065].start 11075.17784375
transcript.pyannote[2065].end 11075.88659375
transcript.pyannote[2066].speaker SPEAKER_18
transcript.pyannote[2066].start 11076.54471875
transcript.pyannote[2066].end 11096.55846875
transcript.pyannote[2067].speaker SPEAKER_18
transcript.pyannote[2067].start 11097.73971875
transcript.pyannote[2067].end 11098.07721875
transcript.pyannote[2068].speaker SPEAKER_18
transcript.pyannote[2068].start 11098.75221875
transcript.pyannote[2068].end 11105.01284375
transcript.pyannote[2069].speaker SPEAKER_17
transcript.pyannote[2069].start 11105.01284375
transcript.pyannote[2069].end 11105.04659375
transcript.pyannote[2070].speaker SPEAKER_17
transcript.pyannote[2070].start 11105.31659375
transcript.pyannote[2070].end 11105.38409375
transcript.pyannote[2071].speaker SPEAKER_18
transcript.pyannote[2071].start 11105.38409375
transcript.pyannote[2071].end 11106.02534375
transcript.pyannote[2072].speaker SPEAKER_17
transcript.pyannote[2072].start 11106.02534375
transcript.pyannote[2072].end 11131.23659375
transcript.pyannote[2073].speaker SPEAKER_17
transcript.pyannote[2073].start 11131.70909375
transcript.pyannote[2073].end 11144.23034375
transcript.pyannote[2074].speaker SPEAKER_17
transcript.pyannote[2074].start 11145.63096875
transcript.pyannote[2074].end 11146.71096875
transcript.pyannote[2075].speaker SPEAKER_31
transcript.pyannote[2075].start 11148.36471875
transcript.pyannote[2075].end 11254.84596875
transcript.pyannote[2076].speaker SPEAKER_18
transcript.pyannote[2076].start 11255.68971875
transcript.pyannote[2076].end 11264.92034375
transcript.pyannote[2077].speaker SPEAKER_18
transcript.pyannote[2077].start 11265.88221875
transcript.pyannote[2077].end 11267.35034375
transcript.pyannote[2078].speaker SPEAKER_11
transcript.pyannote[2078].start 11267.35034375
transcript.pyannote[2078].end 11267.36721875
transcript.pyannote[2079].speaker SPEAKER_11
transcript.pyannote[2079].start 11268.78471875
transcript.pyannote[2079].end 11311.93409375
transcript.pyannote[2080].speaker SPEAKER_11
transcript.pyannote[2080].start 11313.63846875
transcript.pyannote[2080].end 11338.15784375
transcript.pyannote[2081].speaker SPEAKER_11
transcript.pyannote[2081].start 11339.06909375
transcript.pyannote[2081].end 11339.08596875
transcript.pyannote[2082].speaker SPEAKER_18
transcript.pyannote[2082].start 11339.08596875
transcript.pyannote[2082].end 11339.55846875
transcript.pyannote[2083].speaker SPEAKER_18
transcript.pyannote[2083].start 11340.01409375
transcript.pyannote[2083].end 11346.34221875
transcript.pyannote[2084].speaker SPEAKER_20
transcript.pyannote[2084].start 11347.62471875
transcript.pyannote[2084].end 11393.94659375
transcript.pyannote[2085].speaker SPEAKER_20
transcript.pyannote[2085].start 11394.19971875
transcript.pyannote[2085].end 11405.62409375
transcript.pyannote[2086].speaker SPEAKER_20
transcript.pyannote[2086].start 11406.13034375
transcript.pyannote[2086].end 11462.89784375
transcript.pyannote[2087].speaker SPEAKER_18
transcript.pyannote[2087].start 11464.21409375
transcript.pyannote[2087].end 11464.87221875
transcript.pyannote[2088].speaker SPEAKER_18
transcript.pyannote[2088].start 11464.97346875
transcript.pyannote[2088].end 11466.82971875
transcript.pyannote[2089].speaker SPEAKER_17
transcript.pyannote[2089].start 11469.10784375
transcript.pyannote[2089].end 11473.66409375
transcript.pyannote[2090].speaker SPEAKER_17
transcript.pyannote[2090].start 11474.00159375
transcript.pyannote[2090].end 11480.16096875
transcript.pyannote[2091].speaker SPEAKER_17
transcript.pyannote[2091].start 11480.39721875
transcript.pyannote[2091].end 11506.09784375
transcript.pyannote[2092].speaker SPEAKER_17
transcript.pyannote[2092].start 11506.68846875
transcript.pyannote[2092].end 11564.23221875
transcript.pyannote[2093].speaker SPEAKER_17
transcript.pyannote[2093].start 11564.67096875
transcript.pyannote[2093].end 11566.27409375
transcript.pyannote[2094].speaker SPEAKER_17
transcript.pyannote[2094].start 11568.34971875
transcript.pyannote[2094].end 11568.36659375
transcript.pyannote[2095].speaker SPEAKER_37
transcript.pyannote[2095].start 11568.36659375
transcript.pyannote[2095].end 11569.42971875
transcript.pyannote[2096].speaker SPEAKER_37
transcript.pyannote[2096].start 11570.79659375
transcript.pyannote[2096].end 11698.67534375
transcript.pyannote[2097].speaker SPEAKER_37
transcript.pyannote[2097].start 11699.13096875
transcript.pyannote[2097].end 11721.49034375
transcript.pyannote[2098].speaker SPEAKER_08
transcript.pyannote[2098].start 11723.26221875
transcript.pyannote[2098].end 11724.71346875
transcript.pyannote[2099].speaker SPEAKER_26
transcript.pyannote[2099].start 11725.45596875
transcript.pyannote[2099].end 11732.59409375
transcript.pyannote[2100].speaker SPEAKER_26
transcript.pyannote[2100].start 11732.61096875
transcript.pyannote[2100].end 11736.40784375
transcript.pyannote[2101].speaker SPEAKER_26
transcript.pyannote[2101].start 11737.55534375
transcript.pyannote[2101].end 11748.99659375
transcript.pyannote[2102].speaker SPEAKER_26
transcript.pyannote[2102].start 11749.06409375
transcript.pyannote[2102].end 11760.99471875
transcript.pyannote[2103].speaker SPEAKER_26
transcript.pyannote[2103].start 11761.80471875
transcript.pyannote[2103].end 11770.02284375
transcript.pyannote[2104].speaker SPEAKER_26
transcript.pyannote[2104].start 11770.27596875
transcript.pyannote[2104].end 11771.08596875
transcript.pyannote[2105].speaker SPEAKER_26
transcript.pyannote[2105].start 11771.47409375
transcript.pyannote[2105].end 11791.96034375
transcript.pyannote[2106].speaker SPEAKER_26
transcript.pyannote[2106].start 11792.58471875
transcript.pyannote[2106].end 11793.12471875
transcript.pyannote[2107].speaker SPEAKER_18
transcript.pyannote[2107].start 11793.81659375
transcript.pyannote[2107].end 11795.13284375
transcript.pyannote[2108].speaker SPEAKER_18
transcript.pyannote[2108].start 11795.60534375
transcript.pyannote[2108].end 11824.09034375
transcript.pyannote[2109].speaker SPEAKER_18
transcript.pyannote[2109].start 11824.47846875
transcript.pyannote[2109].end 11831.46471875
transcript.pyannote[2110].speaker SPEAKER_18
transcript.pyannote[2110].start 11831.85284375
transcript.pyannote[2110].end 11834.95784375
transcript.pyannote[2111].speaker SPEAKER_18
transcript.pyannote[2111].start 11835.66659375
transcript.pyannote[2111].end 11862.91971875
transcript.pyannote[2112].speaker SPEAKER_18
transcript.pyannote[2112].start 11863.24034375
transcript.pyannote[2112].end 11875.03596875
transcript.pyannote[2113].speaker SPEAKER_41
transcript.pyannote[2113].start 11875.03596875
transcript.pyannote[2113].end 11875.50846875
transcript.pyannote[2114].speaker SPEAKER_18
transcript.pyannote[2114].start 11875.50846875
transcript.pyannote[2114].end 11875.54221875
transcript.pyannote[2115].speaker SPEAKER_41
transcript.pyannote[2115].start 11875.54221875
transcript.pyannote[2115].end 11875.66034375
transcript.pyannote[2116].speaker SPEAKER_18
transcript.pyannote[2116].start 11875.66034375
transcript.pyannote[2116].end 11875.84596875
transcript.pyannote[2117].speaker SPEAKER_41
transcript.pyannote[2117].start 11875.84596875
transcript.pyannote[2117].end 11900.77034375
transcript.pyannote[2118].speaker SPEAKER_08
transcript.pyannote[2118].start 11907.80721875
transcript.pyannote[2118].end 11920.73346875
transcript.pyannote[2119].speaker SPEAKER_08
transcript.pyannote[2119].start 11921.20596875
transcript.pyannote[2119].end 11929.03596875
transcript.pyannote[2120].speaker SPEAKER_18
transcript.pyannote[2120].start 11929.03596875
transcript.pyannote[2120].end 11942.97471875
transcript.pyannote[2121].speaker SPEAKER_10
transcript.pyannote[2121].start 11942.97471875
transcript.pyannote[2121].end 11951.02409375
transcript.pyannote[2122].speaker SPEAKER_08
transcript.pyannote[2122].start 11951.02409375
transcript.pyannote[2122].end 11962.97159375
transcript.pyannote[2123].speaker SPEAKER_10
transcript.pyannote[2123].start 11962.97159375
transcript.pyannote[2123].end 11963.03909375
transcript.pyannote[2124].speaker SPEAKER_08
transcript.pyannote[2124].start 11963.03909375
transcript.pyannote[2124].end 11963.96721875
transcript.pyannote[2125].speaker SPEAKER_10
transcript.pyannote[2125].start 11963.96721875
transcript.pyannote[2125].end 11964.03471875
transcript.pyannote[2126].speaker SPEAKER_08
transcript.pyannote[2126].start 11964.03471875
transcript.pyannote[2126].end 11964.96284375
transcript.pyannote[2127].speaker SPEAKER_10
transcript.pyannote[2127].start 11964.96284375
transcript.pyannote[2127].end 11965.03034375
transcript.pyannote[2128].speaker SPEAKER_08
transcript.pyannote[2128].start 11965.03034375
transcript.pyannote[2128].end 11965.97534375
transcript.pyannote[2129].speaker SPEAKER_10
transcript.pyannote[2129].start 11965.97534375
transcript.pyannote[2129].end 11966.02596875
transcript.pyannote[2130].speaker SPEAKER_18
transcript.pyannote[2130].start 11966.02596875
transcript.pyannote[2130].end 11967.37596875
transcript.pyannote[2131].speaker SPEAKER_08
transcript.pyannote[2131].start 11967.37596875
transcript.pyannote[2131].end 11967.51096875
transcript.pyannote[2132].speaker SPEAKER_18
transcript.pyannote[2132].start 11967.51096875
transcript.pyannote[2132].end 11969.97471875
transcript.pyannote[2133].speaker SPEAKER_08
transcript.pyannote[2133].start 11969.97471875
transcript.pyannote[2133].end 11971.03784375
transcript.pyannote[2134].speaker SPEAKER_10
transcript.pyannote[2134].start 11971.03784375
transcript.pyannote[2134].end 11971.17284375
transcript.pyannote[2135].speaker SPEAKER_08
transcript.pyannote[2135].start 11971.17284375
transcript.pyannote[2135].end 11971.40909375
transcript.pyannote[2136].speaker SPEAKER_10
transcript.pyannote[2136].start 11971.40909375
transcript.pyannote[2136].end 11971.96596875
transcript.pyannote[2137].speaker SPEAKER_08
transcript.pyannote[2137].start 11971.96596875
transcript.pyannote[2137].end 11972.97846875
transcript.pyannote[2138].speaker SPEAKER_10
transcript.pyannote[2138].start 11972.97846875
transcript.pyannote[2138].end 11973.02909375
transcript.pyannote[2139].speaker SPEAKER_18
transcript.pyannote[2139].start 11973.02909375
transcript.pyannote[2139].end 11977.97346875
transcript.pyannote[2140].speaker SPEAKER_10
transcript.pyannote[2140].start 11977.97346875
transcript.pyannote[2140].end 11978.96909375
transcript.pyannote[2141].speaker SPEAKER_18
transcript.pyannote[2141].start 11978.96909375
transcript.pyannote[2141].end 11981.02784375
transcript.pyannote[2142].speaker SPEAKER_08
transcript.pyannote[2142].start 11981.02784375
transcript.pyannote[2142].end 11991.03471875
transcript.pyannote[2143].speaker SPEAKER_18
transcript.pyannote[2143].start 11991.03471875
transcript.pyannote[2143].end 11992.09784375
transcript.pyannote[2144].speaker SPEAKER_18
transcript.pyannote[2144].start 11992.72221875
transcript.pyannote[2144].end 11996.97471875
transcript.pyannote[2145].speaker SPEAKER_34
transcript.pyannote[2145].start 11996.97471875
transcript.pyannote[2145].end 12006.03659375
transcript.pyannote[2146].speaker SPEAKER_18
transcript.pyannote[2146].start 12006.03659375
transcript.pyannote[2146].end 12009.02346875
transcript.pyannote[2147].speaker SPEAKER_38
transcript.pyannote[2147].start 12009.02346875
transcript.pyannote[2147].end 12011.97659375
transcript.pyannote[2148].speaker SPEAKER_18
transcript.pyannote[2148].start 12011.97659375
transcript.pyannote[2148].end 12014.03534375
transcript.pyannote[2149].speaker SPEAKER_38
transcript.pyannote[2149].start 12014.03534375
transcript.pyannote[2149].end 12016.97159375
transcript.pyannote[2150].speaker SPEAKER_18
transcript.pyannote[2150].start 12016.97159375
transcript.pyannote[2150].end 12028.51409375
transcript.pyannote[2151].speaker SPEAKER_18
transcript.pyannote[2151].start 12028.80096875
transcript.pyannote[2151].end 12038.52096875
transcript.pyannote[2152].speaker SPEAKER_10
transcript.pyannote[2152].start 12038.52096875
transcript.pyannote[2152].end 12038.62221875
transcript.pyannote[2153].speaker SPEAKER_18
transcript.pyannote[2153].start 12038.62221875
transcript.pyannote[2153].end 12039.97221875
transcript.pyannote[2154].speaker SPEAKER_10
transcript.pyannote[2154].start 12039.97221875
transcript.pyannote[2154].end 12049.03409375
transcript.pyannote[2155].speaker SPEAKER_18
transcript.pyannote[2155].start 12049.03409375
transcript.pyannote[2155].end 12099.79409375
transcript.pyannote[2156].speaker SPEAKER_18
transcript.pyannote[2156].start 12101.63346875
transcript.pyannote[2156].end 12102.03846875
transcript.pyannote[2157].speaker SPEAKER_18
transcript.pyannote[2157].start 12103.11846875
transcript.pyannote[2157].end 12103.54034375
transcript.pyannote[2158].speaker SPEAKER_10
transcript.pyannote[2158].start 12103.54034375
transcript.pyannote[2158].end 12103.55721875
transcript.pyannote[2159].speaker SPEAKER_10
transcript.pyannote[2159].start 12103.74284375
transcript.pyannote[2159].end 12103.75971875
transcript.pyannote[2160].speaker SPEAKER_18
transcript.pyannote[2160].start 12103.75971875
transcript.pyannote[2160].end 12104.04659375
transcript.pyannote[2161].speaker SPEAKER_10
transcript.pyannote[2161].start 12104.04659375
transcript.pyannote[2161].end 12104.09721875
transcript.pyannote[2162].speaker SPEAKER_10
transcript.pyannote[2162].start 12104.51909375
transcript.pyannote[2162].end 12104.53596875
transcript.pyannote[2163].speaker SPEAKER_18
transcript.pyannote[2163].start 12104.53596875
transcript.pyannote[2163].end 12104.82284375
transcript.pyannote[2164].speaker SPEAKER_10
transcript.pyannote[2164].start 12104.82284375
transcript.pyannote[2164].end 12104.97471875
transcript.pyannote[2165].speaker SPEAKER_10
transcript.pyannote[2165].start 12105.26159375
transcript.pyannote[2165].end 12105.32909375
transcript.pyannote[2166].speaker SPEAKER_18
transcript.pyannote[2166].start 12105.32909375
transcript.pyannote[2166].end 12105.36284375
transcript.pyannote[2167].speaker SPEAKER_10
transcript.pyannote[2167].start 12105.36284375
transcript.pyannote[2167].end 12106.02096875
transcript.pyannote[2168].speaker SPEAKER_10
transcript.pyannote[2168].start 12106.74659375
transcript.pyannote[2168].end 12107.13471875
transcript.pyannote[2169].speaker SPEAKER_34
transcript.pyannote[2169].start 12106.91534375
transcript.pyannote[2169].end 12107.26971875
transcript.pyannote[2170].speaker SPEAKER_10
transcript.pyannote[2170].start 12107.92784375
transcript.pyannote[2170].end 12128.80221875
transcript.pyannote[2171].speaker SPEAKER_18
transcript.pyannote[2171].start 12130.86096875
transcript.pyannote[2171].end 12136.34534375
transcript.pyannote[2172].speaker SPEAKER_18
transcript.pyannote[2172].start 12137.29034375
transcript.pyannote[2172].end 12140.19284375
transcript.pyannote[2173].speaker SPEAKER_18
transcript.pyannote[2173].start 12140.86784375
transcript.pyannote[2173].end 12147.24659375
transcript.pyannote[2174].speaker SPEAKER_18
transcript.pyannote[2174].start 12147.41534375
transcript.pyannote[2174].end 12148.86659375
transcript.pyannote[2175].speaker SPEAKER_18
transcript.pyannote[2175].start 12149.49096875
transcript.pyannote[2175].end 12149.81159375
transcript.pyannote[2176].speaker SPEAKER_18
transcript.pyannote[2176].start 12151.19534375
transcript.pyannote[2176].end 12152.61284375
transcript.pyannote[2177].speaker SPEAKER_18
transcript.pyannote[2177].start 12152.91659375
transcript.pyannote[2177].end 12154.77284375
transcript.pyannote[2178].speaker SPEAKER_18
transcript.pyannote[2178].start 12156.62909375
transcript.pyannote[2178].end 12157.03409375
transcript.pyannote[2179].speaker SPEAKER_18
transcript.pyannote[2179].start 12159.09284375
transcript.pyannote[2179].end 12160.02096875
transcript.pyannote[2180].speaker SPEAKER_18
transcript.pyannote[2180].start 12161.33721875
transcript.pyannote[2180].end 12163.80096875
transcript.pyannote[2181].speaker SPEAKER_18
transcript.pyannote[2181].start 12164.52659375
transcript.pyannote[2181].end 12172.49159375
transcript.pyannote[2182].speaker SPEAKER_18
transcript.pyannote[2182].start 12172.98096875
transcript.pyannote[2182].end 12175.81596875
transcript.pyannote[2183].speaker SPEAKER_18
transcript.pyannote[2183].start 12177.26721875
transcript.pyannote[2183].end 12178.26284375
transcript.pyannote[2184].speaker SPEAKER_18
transcript.pyannote[2184].start 12181.73909375
transcript.pyannote[2184].end 12183.39284375
transcript.pyannote[2185].speaker SPEAKER_18
transcript.pyannote[2185].start 12185.90721875
transcript.pyannote[2185].end 12187.59471875
transcript.pyannote[2186].speaker SPEAKER_18
transcript.pyannote[2186].start 12189.28221875
transcript.pyannote[2186].end 12192.87659375
transcript.pyannote[2187].speaker SPEAKER_18
transcript.pyannote[2187].start 12202.42784375
transcript.pyannote[2187].end 12206.66346875
transcript.pyannote[2188].speaker SPEAKER_18
transcript.pyannote[2188].start 12206.98409375
transcript.pyannote[2188].end 12208.03034375
transcript.pyannote[2189].speaker SPEAKER_18
transcript.pyannote[2189].start 12208.68846875
transcript.pyannote[2189].end 12211.06784375
transcript.pyannote[2190].speaker SPEAKER_37
transcript.pyannote[2190].start 12211.06784375
transcript.pyannote[2190].end 12211.08471875
transcript.pyannote[2191].speaker SPEAKER_18
transcript.pyannote[2191].start 12211.08471875
transcript.pyannote[2191].end 12211.21971875
transcript.pyannote[2192].speaker SPEAKER_37
transcript.pyannote[2192].start 12211.21971875
transcript.pyannote[2192].end 12211.50659375
transcript.pyannote[2193].speaker SPEAKER_18
transcript.pyannote[2193].start 12211.50659375
transcript.pyannote[2193].end 12211.96221875
transcript.pyannote[2194].speaker SPEAKER_37
transcript.pyannote[2194].start 12211.96221875
transcript.pyannote[2194].end 12212.26596875
transcript.pyannote[2195].speaker SPEAKER_37
transcript.pyannote[2195].start 12213.14346875
transcript.pyannote[2195].end 12235.72221875
transcript.pyannote[2196].speaker SPEAKER_18
transcript.pyannote[2196].start 12235.72221875
transcript.pyannote[2196].end 12235.73909375
transcript.pyannote[2197].speaker SPEAKER_37
transcript.pyannote[2197].start 12236.58284375
transcript.pyannote[2197].end 12236.59971875
transcript.pyannote[2198].speaker SPEAKER_18
transcript.pyannote[2198].start 12236.59971875
transcript.pyannote[2198].end 12241.74659375
transcript.pyannote[2199].speaker SPEAKER_18
transcript.pyannote[2199].start 12242.32034375
transcript.pyannote[2199].end 12242.69159375
transcript.pyannote[2200].speaker SPEAKER_18
transcript.pyannote[2200].start 12243.68721875
transcript.pyannote[2200].end 12250.96034375
transcript.pyannote[2201].speaker SPEAKER_00
transcript.pyannote[2201].start 12249.39096875
transcript.pyannote[2201].end 12249.84659375
transcript.pyannote[2202].speaker SPEAKER_18
transcript.pyannote[2202].start 12253.93034375
transcript.pyannote[2202].end 12254.47034375
transcript.pyannote[2203].speaker SPEAKER_18
transcript.pyannote[2203].start 12254.74034375
transcript.pyannote[2203].end 12255.16221875
transcript.pyannote[2204].speaker SPEAKER_18
transcript.pyannote[2204].start 12257.20409375
transcript.pyannote[2204].end 12258.36846875
transcript.pyannote[2205].speaker SPEAKER_18
transcript.pyannote[2205].start 12258.65534375
transcript.pyannote[2205].end 12262.28346875
transcript.pyannote[2206].speaker SPEAKER_18
transcript.pyannote[2206].start 12262.80659375
transcript.pyannote[2206].end 12271.17659375
transcript.pyannote[2207].speaker SPEAKER_18
transcript.pyannote[2207].start 12271.81784375
transcript.pyannote[2207].end 12273.40409375
transcript.pyannote[2208].speaker SPEAKER_18
transcript.pyannote[2208].start 12273.42096875
transcript.pyannote[2208].end 12278.58471875
transcript.pyannote[2209].speaker SPEAKER_18
transcript.pyannote[2209].start 12279.78284375
transcript.pyannote[2209].end 12281.55471875
transcript.pyannote[2210].speaker SPEAKER_18
transcript.pyannote[2210].start 12284.10284375
transcript.pyannote[2210].end 12284.40659375
transcript.pyannote[2211].speaker SPEAKER_18
transcript.pyannote[2211].start 12284.74409375
transcript.pyannote[2211].end 12286.70159375
transcript.pyannote[2212].speaker SPEAKER_18
transcript.pyannote[2212].start 12288.03471875
transcript.pyannote[2212].end 12288.55784375
transcript.pyannote[2213].speaker SPEAKER_18
transcript.pyannote[2213].start 12290.58284375
transcript.pyannote[2213].end 12291.24096875
transcript.pyannote[2214].speaker SPEAKER_18
transcript.pyannote[2214].start 12291.66284375
transcript.pyannote[2214].end 12292.65846875
transcript.pyannote[2215].speaker SPEAKER_18
transcript.pyannote[2215].start 12297.13034375
transcript.pyannote[2215].end 12299.93159375
transcript.pyannote[2216].speaker SPEAKER_18
transcript.pyannote[2216].start 12300.65721875
transcript.pyannote[2216].end 12300.97784375
transcript.pyannote[2217].speaker SPEAKER_18
transcript.pyannote[2217].start 12302.41221875
transcript.pyannote[2217].end 12303.37409375
transcript.pyannote[2218].speaker SPEAKER_18
transcript.pyannote[2218].start 12303.61034375
transcript.pyannote[2218].end 12308.23409375
transcript.pyannote[2219].speaker SPEAKER_18
transcript.pyannote[2219].start 12308.57159375
transcript.pyannote[2219].end 12309.56721875
transcript.pyannote[2220].speaker SPEAKER_18
transcript.pyannote[2220].start 12309.95534375
transcript.pyannote[2220].end 12318.20721875
transcript.pyannote[2221].speaker SPEAKER_18
transcript.pyannote[2221].start 12320.04659375
transcript.pyannote[2221].end 12321.09284375
transcript.pyannote[2222].speaker SPEAKER_18
transcript.pyannote[2222].start 12321.51471875
transcript.pyannote[2222].end 12323.69159375
transcript.pyannote[2223].speaker SPEAKER_18
transcript.pyannote[2223].start 12324.14721875
transcript.pyannote[2223].end 12326.32409375
transcript.pyannote[2224].speaker SPEAKER_18
transcript.pyannote[2224].start 12326.94846875
transcript.pyannote[2224].end 12329.12534375
transcript.pyannote[2225].speaker SPEAKER_18
transcript.pyannote[2225].start 12329.71596875
transcript.pyannote[2225].end 12330.28971875
transcript.pyannote[2226].speaker SPEAKER_18
transcript.pyannote[2226].start 12331.70721875
transcript.pyannote[2226].end 12333.61409375
transcript.pyannote[2227].speaker SPEAKER_18
transcript.pyannote[2227].start 12334.25534375
transcript.pyannote[2227].end 12340.51596875
transcript.pyannote[2228].speaker SPEAKER_18
transcript.pyannote[2228].start 12340.81971875
transcript.pyannote[2228].end 12341.49471875
transcript.pyannote[2229].speaker SPEAKER_18
transcript.pyannote[2229].start 12342.32159375
transcript.pyannote[2229].end 12344.73471875
transcript.pyannote[2230].speaker SPEAKER_18
transcript.pyannote[2230].start 12346.15221875
transcript.pyannote[2230].end 12347.02971875
transcript.pyannote[2231].speaker SPEAKER_37
transcript.pyannote[2231].start 12347.02971875
transcript.pyannote[2231].end 12348.26159375
transcript.pyannote[2232].speaker SPEAKER_18
transcript.pyannote[2232].start 12348.90284375
transcript.pyannote[2232].end 12348.91971875
transcript.pyannote[2233].speaker SPEAKER_37
transcript.pyannote[2233].start 12348.91971875
transcript.pyannote[2233].end 12485.74221875
transcript.pyannote[2234].speaker SPEAKER_05
transcript.pyannote[2234].start 12486.53534375
transcript.pyannote[2234].end 12516.62346875
transcript.pyannote[2235].speaker SPEAKER_05
transcript.pyannote[2235].start 12517.48409375
transcript.pyannote[2235].end 12565.03784375
transcript.pyannote[2236].speaker SPEAKER_18
transcript.pyannote[2236].start 12566.38784375
transcript.pyannote[2236].end 12570.06659375
transcript.pyannote[2237].speaker SPEAKER_18
transcript.pyannote[2237].start 12570.08346875
transcript.pyannote[2237].end 12570.23534375
transcript.pyannote[2238].speaker SPEAKER_18
transcript.pyannote[2238].start 12570.28596875
transcript.pyannote[2238].end 12573.00284375
transcript.pyannote[2239].speaker SPEAKER_31
transcript.pyannote[2239].start 12573.98159375
transcript.pyannote[2239].end 12588.03846875
transcript.pyannote[2240].speaker SPEAKER_31
transcript.pyannote[2240].start 12588.10596875
transcript.pyannote[2240].end 12599.14221875
transcript.pyannote[2241].speaker SPEAKER_31
transcript.pyannote[2241].start 12599.46284375
transcript.pyannote[2241].end 12620.62409375
transcript.pyannote[2242].speaker SPEAKER_31
transcript.pyannote[2242].start 12620.70846875
transcript.pyannote[2242].end 12647.70846875
transcript.pyannote[2243].speaker SPEAKER_31
transcript.pyannote[2243].start 12647.86034375
transcript.pyannote[2243].end 12668.66721875
transcript.pyannote[2244].speaker SPEAKER_31
transcript.pyannote[2244].start 12668.76846875
transcript.pyannote[2244].end 12684.31034375
transcript.pyannote[2245].speaker SPEAKER_31
transcript.pyannote[2245].start 12684.61409375
transcript.pyannote[2245].end 12710.53409375
transcript.pyannote[2246].speaker SPEAKER_31
transcript.pyannote[2246].start 12710.71971875
transcript.pyannote[2246].end 12713.68971875
transcript.pyannote[2247].speaker SPEAKER_11
transcript.pyannote[2247].start 12714.48284375
transcript.pyannote[2247].end 12715.76534375
transcript.pyannote[2248].speaker SPEAKER_11
transcript.pyannote[2248].start 12718.02659375
transcript.pyannote[2248].end 12724.28721875
transcript.pyannote[2249].speaker SPEAKER_11
transcript.pyannote[2249].start 12724.77659375
transcript.pyannote[2249].end 12802.84034375
transcript.pyannote[2250].speaker SPEAKER_18
transcript.pyannote[2250].start 12803.92034375
transcript.pyannote[2250].end 12805.00034375
transcript.pyannote[2251].speaker SPEAKER_18
transcript.pyannote[2251].start 12805.69221875
transcript.pyannote[2251].end 12880.27971875
transcript.pyannote[2252].speaker SPEAKER_18
transcript.pyannote[2252].start 12880.43159375
transcript.pyannote[2252].end 12882.20346875
transcript.pyannote[2253].speaker SPEAKER_18
transcript.pyannote[2253].start 12882.50721875
transcript.pyannote[2253].end 12882.59159375
transcript.pyannote[2254].speaker SPEAKER_41
transcript.pyannote[2254].start 12882.59159375
transcript.pyannote[2254].end 12882.60846875
transcript.pyannote[2255].speaker SPEAKER_18
transcript.pyannote[2255].start 12882.60846875
transcript.pyannote[2255].end 12882.62534375
transcript.pyannote[2256].speaker SPEAKER_41
transcript.pyannote[2256].start 12882.62534375
transcript.pyannote[2256].end 12929.40284375
transcript.pyannote[2257].speaker SPEAKER_41
transcript.pyannote[2257].start 12929.62221875
transcript.pyannote[2257].end 12947.59409375
transcript.pyannote[2258].speaker SPEAKER_18
transcript.pyannote[2258].start 12948.03284375
transcript.pyannote[2258].end 12948.28596875
transcript.pyannote[2259].speaker SPEAKER_18
transcript.pyannote[2259].start 12948.67409375
transcript.pyannote[2259].end 12949.24784375
transcript.pyannote[2260].speaker SPEAKER_41
transcript.pyannote[2260].start 12948.77534375
transcript.pyannote[2260].end 12949.19721875
transcript.pyannote[2261].speaker SPEAKER_41
transcript.pyannote[2261].start 12949.24784375
transcript.pyannote[2261].end 12949.97346875
transcript.pyannote[2262].speaker SPEAKER_18
transcript.pyannote[2262].start 12949.97346875
transcript.pyannote[2262].end 12950.02409375
transcript.pyannote[2263].speaker SPEAKER_18
transcript.pyannote[2263].start 12950.29409375
transcript.pyannote[2263].end 12966.08909375
transcript.pyannote[2264].speaker SPEAKER_30
transcript.pyannote[2264].start 12966.30846875
transcript.pyannote[2264].end 13042.98846875
transcript.pyannote[2265].speaker SPEAKER_19
transcript.pyannote[2265].start 13044.30471875
transcript.pyannote[2265].end 13045.23284375
transcript.pyannote[2266].speaker SPEAKER_18
transcript.pyannote[2266].start 13044.70971875
transcript.pyannote[2266].end 13044.97971875
transcript.pyannote[2267].speaker SPEAKER_19
transcript.pyannote[2267].start 13045.31721875
transcript.pyannote[2267].end 13137.50534375
transcript.pyannote[2268].speaker SPEAKER_18
transcript.pyannote[2268].start 13138.24784375
transcript.pyannote[2268].end 13141.42034375
transcript.pyannote[2269].speaker SPEAKER_18
transcript.pyannote[2269].start 13142.06159375
transcript.pyannote[2269].end 13143.05721875
transcript.pyannote[2270].speaker SPEAKER_18
transcript.pyannote[2270].start 13144.62659375
transcript.pyannote[2270].end 13147.02284375
transcript.pyannote[2271].speaker SPEAKER_18
transcript.pyannote[2271].start 13147.39409375
transcript.pyannote[2271].end 13149.89159375
transcript.pyannote[2272].speaker SPEAKER_18
transcript.pyannote[2272].start 13150.87034375
transcript.pyannote[2272].end 13174.91721875
transcript.pyannote[2273].speaker SPEAKER_18
transcript.pyannote[2273].start 13175.10284375
transcript.pyannote[2273].end 13176.23346875
transcript.pyannote[2274].speaker SPEAKER_18
transcript.pyannote[2274].start 13176.73971875
transcript.pyannote[2274].end 13178.29221875
transcript.pyannote[2275].speaker SPEAKER_18
transcript.pyannote[2275].start 13179.69284375
transcript.pyannote[2275].end 13180.60409375
transcript.pyannote[2276].speaker SPEAKER_18
transcript.pyannote[2276].start 13182.00471875
transcript.pyannote[2276].end 13184.02971875
transcript.pyannote[2277].speaker SPEAKER_18
transcript.pyannote[2277].start 13186.98284375
transcript.pyannote[2277].end 13188.09659375
transcript.pyannote[2278].speaker SPEAKER_18
transcript.pyannote[2278].start 13188.65346875
transcript.pyannote[2278].end 13190.56034375
transcript.pyannote[2279].speaker SPEAKER_09
transcript.pyannote[2279].start 13194.96471875
transcript.pyannote[2279].end 13195.01534375
transcript.pyannote[2280].speaker SPEAKER_09
transcript.pyannote[2280].start 13195.97721875
transcript.pyannote[2280].end 13196.02784375
transcript.pyannote[2281].speaker SPEAKER_09
transcript.pyannote[2281].start 13196.87159375
transcript.pyannote[2281].end 13198.03596875
transcript.pyannote[2282].speaker SPEAKER_25
transcript.pyannote[2282].start 13198.03596875
transcript.pyannote[2282].end 13201.39409375
transcript.pyannote[2283].speaker SPEAKER_18
transcript.pyannote[2283].start 13207.99221875
transcript.pyannote[2283].end 13210.64159375
transcript.pyannote[2284].speaker SPEAKER_18
transcript.pyannote[2284].start 13211.72159375
transcript.pyannote[2284].end 13212.19409375
transcript.pyannote[2285].speaker SPEAKER_18
transcript.pyannote[2285].start 13212.59909375
transcript.pyannote[2285].end 13216.61534375
transcript.pyannote[2286].speaker SPEAKER_18
transcript.pyannote[2286].start 13217.59409375
transcript.pyannote[2286].end 13218.74159375
transcript.pyannote[2287].speaker SPEAKER_18
transcript.pyannote[2287].start 13230.41909375
transcript.pyannote[2287].end 13231.02659375
transcript.pyannote[2288].speaker SPEAKER_08
transcript.pyannote[2288].start 13231.17846875
transcript.pyannote[2288].end 13233.81096875
transcript.pyannote[2289].speaker SPEAKER_18
transcript.pyannote[2289].start 13233.25409375
transcript.pyannote[2289].end 13234.70534375
transcript.pyannote[2290].speaker SPEAKER_18
transcript.pyannote[2290].start 13235.04284375
transcript.pyannote[2290].end 13236.69659375
transcript.pyannote[2291].speaker SPEAKER_18
transcript.pyannote[2291].start 13238.95784375
transcript.pyannote[2291].end 13241.94471875
transcript.pyannote[2292].speaker SPEAKER_18
transcript.pyannote[2292].start 13243.80096875
transcript.pyannote[2292].end 13246.02846875
transcript.pyannote[2293].speaker SPEAKER_08
transcript.pyannote[2293].start 13247.73284375
transcript.pyannote[2293].end 13253.72346875
transcript.pyannote[2294].speaker SPEAKER_18
transcript.pyannote[2294].start 13256.35596875
transcript.pyannote[2294].end 13256.84534375
transcript.pyannote[2295].speaker SPEAKER_18
transcript.pyannote[2295].start 13257.57096875
transcript.pyannote[2295].end 13263.79784375
transcript.pyannote[2296].speaker SPEAKER_18
transcript.pyannote[2296].start 13264.54034375
transcript.pyannote[2296].end 13265.41784375
transcript.pyannote[2297].speaker SPEAKER_18
transcript.pyannote[2297].start 13265.78909375
transcript.pyannote[2297].end 13266.71721875
transcript.pyannote[2298].speaker SPEAKER_18
transcript.pyannote[2298].start 13267.08846875
transcript.pyannote[2298].end 13270.96971875
transcript.pyannote[2299].speaker SPEAKER_08
transcript.pyannote[2299].start 13270.96971875
transcript.pyannote[2299].end 13272.01596875
transcript.pyannote[2300].speaker SPEAKER_18
transcript.pyannote[2300].start 13273.21409375
transcript.pyannote[2300].end 13275.91409375
transcript.pyannote[2301].speaker SPEAKER_08
transcript.pyannote[2301].start 13276.26846875
transcript.pyannote[2301].end 13276.28534375
transcript.pyannote[2302].speaker SPEAKER_18
transcript.pyannote[2302].start 13276.28534375
transcript.pyannote[2302].end 13276.97721875
transcript.pyannote[2303].speaker SPEAKER_08
transcript.pyannote[2303].start 13276.97721875
transcript.pyannote[2303].end 13277.14596875
transcript.pyannote[2304].speaker SPEAKER_08
transcript.pyannote[2304].start 13277.51721875
transcript.pyannote[2304].end 13279.27221875
transcript.pyannote[2305].speaker SPEAKER_08
transcript.pyannote[2305].start 13280.33534375
transcript.pyannote[2305].end 13280.35221875
transcript.pyannote[2306].speaker SPEAKER_18
transcript.pyannote[2306].start 13280.35221875
transcript.pyannote[2306].end 13281.14534375
transcript.pyannote[2307].speaker SPEAKER_08
transcript.pyannote[2307].start 13281.14534375
transcript.pyannote[2307].end 13281.17909375
transcript.pyannote[2308].speaker SPEAKER_18
transcript.pyannote[2308].start 13281.34784375
transcript.pyannote[2308].end 13282.96784375
transcript.pyannote[2309].speaker SPEAKER_08
transcript.pyannote[2309].start 13282.96784375
transcript.pyannote[2309].end 13285.92096875
transcript.pyannote[2310].speaker SPEAKER_18
transcript.pyannote[2310].start 13285.92096875
transcript.pyannote[2310].end 13285.95471875
transcript.pyannote[2311].speaker SPEAKER_08
transcript.pyannote[2311].start 13285.95471875
transcript.pyannote[2311].end 13285.97159375
transcript.pyannote[2312].speaker SPEAKER_18
transcript.pyannote[2312].start 13285.97159375
transcript.pyannote[2312].end 13285.98846875
transcript.pyannote[2313].speaker SPEAKER_08
transcript.pyannote[2313].start 13285.98846875
transcript.pyannote[2313].end 13286.03909375
transcript.pyannote[2314].speaker SPEAKER_08
transcript.pyannote[2314].start 13286.41034375
transcript.pyannote[2314].end 13291.33784375
transcript.pyannote[2315].speaker SPEAKER_08
transcript.pyannote[2315].start 13291.79346875
transcript.pyannote[2315].end 13293.02534375
transcript.pyannote[2316].speaker SPEAKER_18
transcript.pyannote[2316].start 13293.02534375
transcript.pyannote[2316].end 13293.76784375
transcript.pyannote[2317].speaker SPEAKER_08
transcript.pyannote[2317].start 13293.76784375
transcript.pyannote[2317].end 13293.80159375
transcript.pyannote[2318].speaker SPEAKER_08
transcript.pyannote[2318].start 13294.32471875
transcript.pyannote[2318].end 13294.37534375
transcript.pyannote[2319].speaker SPEAKER_18
transcript.pyannote[2319].start 13294.37534375
transcript.pyannote[2319].end 13295.99534375
transcript.pyannote[2320].speaker SPEAKER_18
transcript.pyannote[2320].start 13296.36659375
transcript.pyannote[2320].end 13298.99909375
transcript.pyannote[2321].speaker SPEAKER_08
transcript.pyannote[2321].start 13298.99909375
transcript.pyannote[2321].end 13299.01596875
transcript.pyannote[2322].speaker SPEAKER_18
transcript.pyannote[2322].start 13299.52221875
transcript.pyannote[2322].end 13300.97346875
transcript.pyannote[2323].speaker SPEAKER_08
transcript.pyannote[2323].start 13300.97346875
transcript.pyannote[2323].end 13301.07471875
transcript.pyannote[2324].speaker SPEAKER_18
transcript.pyannote[2324].start 13301.69909375
transcript.pyannote[2324].end 13301.71596875
transcript.pyannote[2325].speaker SPEAKER_08
transcript.pyannote[2325].start 13301.71596875
transcript.pyannote[2325].end 13303.55534375
transcript.pyannote[2326].speaker SPEAKER_08
transcript.pyannote[2326].start 13303.80846875
transcript.pyannote[2326].end 13309.63034375
transcript.pyannote[2327].speaker SPEAKER_08
transcript.pyannote[2327].start 13310.81159375
transcript.pyannote[2327].end 13311.40221875
transcript.pyannote[2328].speaker SPEAKER_40
transcript.pyannote[2328].start 13318.96221875
transcript.pyannote[2328].end 13319.43471875
transcript.pyannote[2329].speaker SPEAKER_40
transcript.pyannote[2329].start 13320.09284375
transcript.pyannote[2329].end 13320.10971875
transcript.pyannote[2330].speaker SPEAKER_24
transcript.pyannote[2330].start 13320.10971875
transcript.pyannote[2330].end 13320.51471875
transcript.pyannote[2331].speaker SPEAKER_40
transcript.pyannote[2331].start 13320.51471875
transcript.pyannote[2331].end 13323.40034375
transcript.pyannote[2332].speaker SPEAKER_24
transcript.pyannote[2332].start 13323.40034375
transcript.pyannote[2332].end 13324.31159375
transcript.pyannote[2333].speaker SPEAKER_15
transcript.pyannote[2333].start 13324.31159375
transcript.pyannote[2333].end 13325.37471875
transcript.pyannote[2334].speaker SPEAKER_18
transcript.pyannote[2334].start 13325.62784375
transcript.pyannote[2334].end 13329.30659375
transcript.pyannote[2335].speaker SPEAKER_18
transcript.pyannote[2335].start 13331.41596875
transcript.pyannote[2335].end 13333.40721875
transcript.pyannote[2336].speaker SPEAKER_09
transcript.pyannote[2336].start 13333.40721875
transcript.pyannote[2336].end 13333.64346875
transcript.pyannote[2337].speaker SPEAKER_09
transcript.pyannote[2337].start 13333.72784375
transcript.pyannote[2337].end 13334.38596875
transcript.pyannote[2338].speaker SPEAKER_08
transcript.pyannote[2338].start 13334.38596875
transcript.pyannote[2338].end 13334.52096875
transcript.pyannote[2339].speaker SPEAKER_18
transcript.pyannote[2339].start 13334.52096875
transcript.pyannote[2339].end 13334.97659375
transcript.pyannote[2340].speaker SPEAKER_08
transcript.pyannote[2340].start 13334.97659375
transcript.pyannote[2340].end 13335.02721875
transcript.pyannote[2341].speaker SPEAKER_18
transcript.pyannote[2341].start 13335.02721875
transcript.pyannote[2341].end 13335.53346875
transcript.pyannote[2342].speaker SPEAKER_08
transcript.pyannote[2342].start 13335.53346875
transcript.pyannote[2342].end 13335.56721875
transcript.pyannote[2343].speaker SPEAKER_09
transcript.pyannote[2343].start 13338.53721875
transcript.pyannote[2343].end 13339.04346875
transcript.pyannote[2344].speaker SPEAKER_09
transcript.pyannote[2344].start 13340.56221875
transcript.pyannote[2344].end 13340.91659375
transcript.pyannote[2345].speaker SPEAKER_09
transcript.pyannote[2345].start 13341.49034375
transcript.pyannote[2345].end 13345.03409375
transcript.pyannote[2346].speaker SPEAKER_18
transcript.pyannote[2346].start 13344.12284375
transcript.pyannote[2346].end 13344.62909375
transcript.pyannote[2347].speaker SPEAKER_10
transcript.pyannote[2347].start 13344.62909375
transcript.pyannote[2347].end 13344.71346875
transcript.pyannote[2348].speaker SPEAKER_09
transcript.pyannote[2348].start 13345.35471875
transcript.pyannote[2348].end 13348.03784375
transcript.pyannote[2349].speaker SPEAKER_10
transcript.pyannote[2349].start 13348.03784375
transcript.pyannote[2349].end 13354.87221875
transcript.pyannote[2350].speaker SPEAKER_40
transcript.pyannote[2350].start 13354.87221875
transcript.pyannote[2350].end 13361.92596875
transcript.pyannote[2351].speaker SPEAKER_10
transcript.pyannote[2351].start 13355.10846875
transcript.pyannote[2351].end 13355.63159375
transcript.pyannote[2352].speaker SPEAKER_21
transcript.pyannote[2352].start 13360.30596875
transcript.pyannote[2352].end 13360.96409375
transcript.pyannote[2353].speaker SPEAKER_25
transcript.pyannote[2353].start 13360.96409375
transcript.pyannote[2353].end 13369.97534375
transcript.pyannote[2354].speaker SPEAKER_21
transcript.pyannote[2354].start 13363.22534375
transcript.pyannote[2354].end 13363.25909375
transcript.pyannote[2355].speaker SPEAKER_21
transcript.pyannote[2355].start 13363.34346875
transcript.pyannote[2355].end 13363.42784375
transcript.pyannote[2356].speaker SPEAKER_40
transcript.pyannote[2356].start 13363.42784375
transcript.pyannote[2356].end 13363.84971875
transcript.pyannote[2357].speaker SPEAKER_21
transcript.pyannote[2357].start 13363.84971875
transcript.pyannote[2357].end 13363.98471875
transcript.pyannote[2358].speaker SPEAKER_24
transcript.pyannote[2358].start 13366.19534375
transcript.pyannote[2358].end 13366.48221875
transcript.pyannote[2359].speaker SPEAKER_18
transcript.pyannote[2359].start 13366.48221875
transcript.pyannote[2359].end 13370.66721875
transcript.pyannote[2360].speaker SPEAKER_24
transcript.pyannote[2360].start 13369.97534375
transcript.pyannote[2360].end 13371.32534375
transcript.pyannote[2361].speaker SPEAKER_11
transcript.pyannote[2361].start 13370.97096875
transcript.pyannote[2361].end 13393.65096875
transcript.pyannote[2362].speaker SPEAKER_38
transcript.pyannote[2362].start 13371.32534375
transcript.pyannote[2362].end 13371.62909375
transcript.pyannote[2363].speaker SPEAKER_11
transcript.pyannote[2363].start 13394.10659375
transcript.pyannote[2363].end 13413.07409375
transcript.pyannote[2364].speaker SPEAKER_18
transcript.pyannote[2364].start 13413.07409375
transcript.pyannote[2364].end 13414.40721875
transcript.pyannote[2365].speaker SPEAKER_18
transcript.pyannote[2365].start 13415.35221875
transcript.pyannote[2365].end 13417.00596875
transcript.pyannote[2366].speaker SPEAKER_11
transcript.pyannote[2366].start 13415.57159375
transcript.pyannote[2366].end 13416.19596875
transcript.pyannote[2367].speaker SPEAKER_18
transcript.pyannote[2367].start 13417.54596875
transcript.pyannote[2367].end 13421.22471875
transcript.pyannote[2368].speaker SPEAKER_18
transcript.pyannote[2368].start 13423.21596875
transcript.pyannote[2368].end 13425.12284375
transcript.pyannote[2369].speaker SPEAKER_18
transcript.pyannote[2369].start 13426.13534375
transcript.pyannote[2369].end 13428.91971875
transcript.pyannote[2370].speaker SPEAKER_18
transcript.pyannote[2370].start 13428.97034375
transcript.pyannote[2370].end 13436.44596875
transcript.pyannote[2371].speaker SPEAKER_18
transcript.pyannote[2371].start 13437.01971875
transcript.pyannote[2371].end 13442.94284375
transcript.pyannote[2372].speaker SPEAKER_18
transcript.pyannote[2372].start 13443.14534375
transcript.pyannote[2372].end 13447.97159375
transcript.pyannote[2373].speaker SPEAKER_08
transcript.pyannote[2373].start 13447.97159375
transcript.pyannote[2373].end 13449.03471875
transcript.pyannote[2374].speaker SPEAKER_18
transcript.pyannote[2374].start 13449.03471875
transcript.pyannote[2374].end 13449.54096875
transcript.pyannote[2375].speaker SPEAKER_08
transcript.pyannote[2375].start 13449.54096875
transcript.pyannote[2375].end 13449.77721875
transcript.pyannote[2376].speaker SPEAKER_18
transcript.pyannote[2376].start 13449.77721875
transcript.pyannote[2376].end 13449.96284375
transcript.pyannote[2377].speaker SPEAKER_08
transcript.pyannote[2377].start 13449.96284375
transcript.pyannote[2377].end 13450.03034375
transcript.pyannote[2378].speaker SPEAKER_18
transcript.pyannote[2378].start 13450.03034375
transcript.pyannote[2378].end 13450.97534375
transcript.pyannote[2379].speaker SPEAKER_08
transcript.pyannote[2379].start 13450.97534375
transcript.pyannote[2379].end 13454.55284375
transcript.pyannote[2380].speaker SPEAKER_18
transcript.pyannote[2380].start 13455.83534375
transcript.pyannote[2380].end 13455.85221875
transcript.pyannote[2381].speaker SPEAKER_08
transcript.pyannote[2381].start 13455.85221875
transcript.pyannote[2381].end 13456.03784375
transcript.pyannote[2382].speaker SPEAKER_18
transcript.pyannote[2382].start 13456.03784375
transcript.pyannote[2382].end 13456.67909375
transcript.pyannote[2383].speaker SPEAKER_18
transcript.pyannote[2383].start 13457.37096875
transcript.pyannote[2383].end 13457.77596875
transcript.pyannote[2384].speaker SPEAKER_18
transcript.pyannote[2384].start 13457.91096875
transcript.pyannote[2384].end 13462.70346875
transcript.pyannote[2385].speaker SPEAKER_18
transcript.pyannote[2385].start 13464.05346875
transcript.pyannote[2385].end 13465.09971875
transcript.pyannote[2386].speaker SPEAKER_18
transcript.pyannote[2386].start 13465.26846875
transcript.pyannote[2386].end 13466.82096875
transcript.pyannote[2387].speaker SPEAKER_18
transcript.pyannote[2387].start 13467.71534375
transcript.pyannote[2387].end 13468.05284375
transcript.pyannote[2388].speaker SPEAKER_18
transcript.pyannote[2388].start 13468.42409375
transcript.pyannote[2388].end 13472.25471875
transcript.pyannote[2389].speaker SPEAKER_18
transcript.pyannote[2389].start 13473.06471875
transcript.pyannote[2389].end 13477.36784375
transcript.pyannote[2390].speaker SPEAKER_18
transcript.pyannote[2390].start 13477.75596875
transcript.pyannote[2390].end 13479.03846875
transcript.pyannote[2391].speaker SPEAKER_18
transcript.pyannote[2391].start 13481.56971875
transcript.pyannote[2391].end 13482.97034375
transcript.pyannote[2392].speaker SPEAKER_18
transcript.pyannote[2392].start 13483.54409375
transcript.pyannote[2392].end 13484.01659375
transcript.pyannote[2393].speaker SPEAKER_18
transcript.pyannote[2393].start 13484.96159375
transcript.pyannote[2393].end 13489.50096875
transcript.pyannote[2394].speaker SPEAKER_40
transcript.pyannote[2394].start 13498.19159375
transcript.pyannote[2394].end 13501.24596875
transcript.pyannote[2395].speaker SPEAKER_40
transcript.pyannote[2395].start 13501.81971875
transcript.pyannote[2395].end 13502.02221875
transcript.pyannote[2396].speaker SPEAKER_40
transcript.pyannote[2396].start 13502.19096875
transcript.pyannote[2396].end 13507.99596875
transcript.pyannote[2397].speaker SPEAKER_05
transcript.pyannote[2397].start 13508.62034375
transcript.pyannote[2397].end 13509.10971875
transcript.pyannote[2398].speaker SPEAKER_25
transcript.pyannote[2398].start 13514.93159375
transcript.pyannote[2398].end 13516.50096875
transcript.pyannote[2399].speaker SPEAKER_22
transcript.pyannote[2399].start 13516.09596875
transcript.pyannote[2399].end 13516.43346875
transcript.pyannote[2400].speaker SPEAKER_05
transcript.pyannote[2400].start 13516.50096875
transcript.pyannote[2400].end 13516.75409375
transcript.pyannote[2401].speaker SPEAKER_25
transcript.pyannote[2401].start 13520.06159375
transcript.pyannote[2401].end 13520.07846875
transcript.pyannote[2402].speaker SPEAKER_38
transcript.pyannote[2402].start 13520.07846875
transcript.pyannote[2402].end 13520.70284375
transcript.pyannote[2403].speaker SPEAKER_25
transcript.pyannote[2403].start 13520.26409375
transcript.pyannote[2403].end 13520.46659375
transcript.pyannote[2404].speaker SPEAKER_40
transcript.pyannote[2404].start 13520.95596875
transcript.pyannote[2404].end 13521.25971875
transcript.pyannote[2405].speaker SPEAKER_38
transcript.pyannote[2405].start 13521.25971875
transcript.pyannote[2405].end 13527.97596875
transcript.pyannote[2406].speaker SPEAKER_11
transcript.pyannote[2406].start 13527.97596875
transcript.pyannote[2406].end 13536.68346875
transcript.pyannote[2407].speaker SPEAKER_40
transcript.pyannote[2407].start 13572.13784375
transcript.pyannote[2407].end 13573.97721875
transcript.pyannote[2408].speaker SPEAKER_40
transcript.pyannote[2408].start 13574.82096875
transcript.pyannote[2408].end 13575.73221875
transcript.pyannote[2409].speaker SPEAKER_40
transcript.pyannote[2409].start 13576.13721875
transcript.pyannote[2409].end 13577.90909375
transcript.pyannote[2410].speaker SPEAKER_40
transcript.pyannote[2410].start 13577.95971875
transcript.pyannote[2410].end 13578.02721875
transcript.pyannote[2411].speaker SPEAKER_40
transcript.pyannote[2411].start 13578.97221875
transcript.pyannote[2411].end 13579.57971875
transcript.pyannote[2412].speaker SPEAKER_40
transcript.pyannote[2412].start 13580.59221875
transcript.pyannote[2412].end 13582.17846875
transcript.pyannote[2413].speaker SPEAKER_40
transcript.pyannote[2413].start 13582.43159375
transcript.pyannote[2413].end 13582.93784375
transcript.pyannote[2414].speaker SPEAKER_40
transcript.pyannote[2414].start 13647.75471875
transcript.pyannote[2414].end 13648.54784375
transcript.pyannote[2415].speaker SPEAKER_40
transcript.pyannote[2415].start 13649.42534375
transcript.pyannote[2415].end 13651.58534375
transcript.pyannote[2416].speaker SPEAKER_40
transcript.pyannote[2416].start 13652.39534375
transcript.pyannote[2416].end 13653.64409375
transcript.pyannote[2417].speaker SPEAKER_22
transcript.pyannote[2417].start 13685.97659375
transcript.pyannote[2417].end 13686.02721875
transcript.pyannote[2418].speaker SPEAKER_22
transcript.pyannote[2418].start 13686.49971875
transcript.pyannote[2418].end 13686.93846875
transcript.pyannote[2419].speaker SPEAKER_22
transcript.pyannote[2419].start 13691.17409375
transcript.pyannote[2419].end 13694.12721875
transcript.pyannote[2420].speaker SPEAKER_22
transcript.pyannote[2420].start 13696.81034375
transcript.pyannote[2420].end 13697.62034375
transcript.pyannote[2421].speaker SPEAKER_40
transcript.pyannote[2421].start 13714.96784375
transcript.pyannote[2421].end 13715.05221875
transcript.pyannote[2422].speaker SPEAKER_40
transcript.pyannote[2422].start 13715.11971875
transcript.pyannote[2422].end 13717.11096875
transcript.pyannote[2423].speaker SPEAKER_40
transcript.pyannote[2423].start 13718.46096875
transcript.pyannote[2423].end 13718.49471875
transcript.pyannote[2424].speaker SPEAKER_40
transcript.pyannote[2424].start 13718.68034375
transcript.pyannote[2424].end 13718.71409375
transcript.pyannote[2425].speaker SPEAKER_40
transcript.pyannote[2425].start 13720.72221875
transcript.pyannote[2425].end 13727.30346875
transcript.pyannote[2426].speaker SPEAKER_40
transcript.pyannote[2426].start 13727.42159375
transcript.pyannote[2426].end 13729.00784375
transcript.pyannote[2427].speaker SPEAKER_24
transcript.pyannote[2427].start 13729.00784375
transcript.pyannote[2427].end 13729.07534375
transcript.pyannote[2428].speaker SPEAKER_24
transcript.pyannote[2428].start 13729.09221875
transcript.pyannote[2428].end 13729.12596875
transcript.pyannote[2429].speaker SPEAKER_40
transcript.pyannote[2429].start 13731.20159375
transcript.pyannote[2429].end 13736.51721875
transcript.pyannote[2430].speaker SPEAKER_40
transcript.pyannote[2430].start 13737.20909375
transcript.pyannote[2430].end 13738.20471875
transcript.pyannote[2431].speaker SPEAKER_40
transcript.pyannote[2431].start 13738.59284375
transcript.pyannote[2431].end 13741.96784375
transcript.pyannote[2432].speaker SPEAKER_40
transcript.pyannote[2432].start 13744.97159375
transcript.pyannote[2432].end 13745.03909375
transcript.pyannote[2433].speaker SPEAKER_16
transcript.pyannote[2433].start 13753.81409375
transcript.pyannote[2433].end 13753.94909375
transcript.pyannote[2434].speaker SPEAKER_22
transcript.pyannote[2434].start 13779.58221875
transcript.pyannote[2434].end 13781.08409375
transcript.pyannote[2435].speaker SPEAKER_22
transcript.pyannote[2435].start 13789.63971875
transcript.pyannote[2435].end 13790.36534375
transcript.pyannote[2436].speaker SPEAKER_22
transcript.pyannote[2436].start 13791.00659375
transcript.pyannote[2436].end 13793.84159375
transcript.pyannote[2437].speaker SPEAKER_22
transcript.pyannote[2437].start 13794.31409375
transcript.pyannote[2437].end 13796.11971875
transcript.pyannote[2438].speaker SPEAKER_22
transcript.pyannote[2438].start 13797.53721875
transcript.pyannote[2438].end 13799.95034375
transcript.pyannote[2439].speaker SPEAKER_40
transcript.pyannote[2439].start 13799.95034375
transcript.pyannote[2439].end 13800.00096875
transcript.pyannote[2440].speaker SPEAKER_40
transcript.pyannote[2440].start 13800.18659375
transcript.pyannote[2440].end 13800.20346875
transcript.pyannote[2441].speaker SPEAKER_22
transcript.pyannote[2441].start 13800.20346875
transcript.pyannote[2441].end 13800.43971875
transcript.pyannote[2442].speaker SPEAKER_40
transcript.pyannote[2442].start 13800.43971875
transcript.pyannote[2442].end 13800.54096875
transcript.pyannote[2443].speaker SPEAKER_22
transcript.pyannote[2443].start 13802.22846875
transcript.pyannote[2443].end 13802.32971875
transcript.pyannote[2444].speaker SPEAKER_13
transcript.pyannote[2444].start 13802.32971875
transcript.pyannote[2444].end 13803.74721875
transcript.pyannote[2445].speaker SPEAKER_34
transcript.pyannote[2445].start 13810.76721875
transcript.pyannote[2445].end 13811.56034375
transcript.pyannote[2446].speaker SPEAKER_09
transcript.pyannote[2446].start 13812.30284375
transcript.pyannote[2446].end 13813.77096875
transcript.pyannote[2447].speaker SPEAKER_22
transcript.pyannote[2447].start 13823.77784375
transcript.pyannote[2447].end 13826.14034375
transcript.pyannote[2448].speaker SPEAKER_40
transcript.pyannote[2448].start 13846.45784375
transcript.pyannote[2448].end 13846.93034375
transcript.pyannote[2449].speaker SPEAKER_22
transcript.pyannote[2449].start 13872.95159375
transcript.pyannote[2449].end 13881.52409375
transcript.pyannote[2450].speaker SPEAKER_24
transcript.pyannote[2450].start 13877.96346875
transcript.pyannote[2450].end 13880.15721875
transcript.pyannote[2451].speaker SPEAKER_24
transcript.pyannote[2451].start 13880.44409375
transcript.pyannote[2451].end 13880.62971875
transcript.pyannote[2452].speaker SPEAKER_24
transcript.pyannote[2452].start 13880.71409375
transcript.pyannote[2452].end 13881.37221875
transcript.pyannote[2453].speaker SPEAKER_24
transcript.pyannote[2453].start 13881.52409375
transcript.pyannote[2453].end 13881.57471875
transcript.pyannote[2454].speaker SPEAKER_17
transcript.pyannote[2454].start 13950.61034375
transcript.pyannote[2454].end 13951.72409375
transcript.pyannote[2455].speaker SPEAKER_22
transcript.pyannote[2455].start 13988.96721875
transcript.pyannote[2455].end 13989.03471875
transcript.pyannote[2456].speaker SPEAKER_22
transcript.pyannote[2456].start 13989.22034375
transcript.pyannote[2456].end 13989.25409375
transcript.pyannote[2457].speaker SPEAKER_35
transcript.pyannote[2457].start 13991.02596875
transcript.pyannote[2457].end 13992.08909375
transcript.pyannote[2458].speaker SPEAKER_24
transcript.pyannote[2458].start 13992.08909375
transcript.pyannote[2458].end 13992.54471875
transcript.pyannote[2459].speaker SPEAKER_35
transcript.pyannote[2459].start 13993.92846875
transcript.pyannote[2459].end 13994.04659375
transcript.pyannote[2460].speaker SPEAKER_24
transcript.pyannote[2460].start 13994.04659375
transcript.pyannote[2460].end 13994.09721875
transcript.pyannote[2461].speaker SPEAKER_35
transcript.pyannote[2461].start 13994.85659375
transcript.pyannote[2461].end 13995.16034375
transcript.pyannote[2462].speaker SPEAKER_24
transcript.pyannote[2462].start 13995.16034375
transcript.pyannote[2462].end 13995.39659375
transcript.pyannote[2463].speaker SPEAKER_35
transcript.pyannote[2463].start 13995.39659375
transcript.pyannote[2463].end 13995.44721875
transcript.pyannote[2464].speaker SPEAKER_24
transcript.pyannote[2464].start 13997.79284375
transcript.pyannote[2464].end 13997.80971875
transcript.pyannote[2465].speaker SPEAKER_25
transcript.pyannote[2465].start 13997.80971875
transcript.pyannote[2465].end 13999.15971875
transcript.pyannote[2466].speaker SPEAKER_28
transcript.pyannote[2466].start 14007.98534375
transcript.pyannote[2466].end 14008.98096875
transcript.pyannote[2467].speaker SPEAKER_35
transcript.pyannote[2467].start 14009.33534375
transcript.pyannote[2467].end 14010.68534375
transcript.pyannote[2468].speaker SPEAKER_28
transcript.pyannote[2468].start 14009.82471875
transcript.pyannote[2468].end 14010.68534375
transcript.pyannote[2469].speaker SPEAKER_24
transcript.pyannote[2469].start 14010.68534375
transcript.pyannote[2469].end 14010.97221875
transcript.pyannote[2470].speaker SPEAKER_24
transcript.pyannote[2470].start 14020.96221875
transcript.pyannote[2470].end 14021.02971875
transcript.pyannote[2471].speaker SPEAKER_24
transcript.pyannote[2471].start 14021.41784375
transcript.pyannote[2471].end 14022.95346875
transcript.pyannote[2472].speaker SPEAKER_24
transcript.pyannote[2472].start 14022.97034375
transcript.pyannote[2472].end 14023.03784375
transcript.pyannote[2473].speaker SPEAKER_24
transcript.pyannote[2473].start 14023.72971875
transcript.pyannote[2473].end 14028.03284375
transcript.pyannote[2474].speaker SPEAKER_24
transcript.pyannote[2474].start 14046.96659375
transcript.pyannote[2474].end 14047.03409375
transcript.pyannote[2475].speaker SPEAKER_24
transcript.pyannote[2475].start 14047.96221875
transcript.pyannote[2475].end 14048.02971875
transcript.pyannote[2476].speaker SPEAKER_24
transcript.pyannote[2476].start 14048.97471875
transcript.pyannote[2476].end 14049.02534375
transcript.pyannote[2477].speaker SPEAKER_13
transcript.pyannote[2477].start 14091.02721875
transcript.pyannote[2477].end 14093.23784375
transcript.pyannote[2478].speaker SPEAKER_22
transcript.pyannote[2478].start 14101.15221875
transcript.pyannote[2478].end 14101.37159375
transcript.pyannote[2479].speaker SPEAKER_22
transcript.pyannote[2479].start 14102.04659375
transcript.pyannote[2479].end 14102.35034375
transcript.pyannote[2480].speaker SPEAKER_22
transcript.pyannote[2480].start 14102.63721875
transcript.pyannote[2480].end 14103.46409375
transcript.pyannote[2481].speaker SPEAKER_22
transcript.pyannote[2481].start 14103.80159375
transcript.pyannote[2481].end 14106.90659375
transcript.pyannote[2482].speaker SPEAKER_22
transcript.pyannote[2482].start 14110.11284375
transcript.pyannote[2482].end 14112.03659375
transcript.pyannote[2483].speaker SPEAKER_22
transcript.pyannote[2483].start 14113.38659375
transcript.pyannote[2483].end 14118.07784375
transcript.pyannote[2484].speaker SPEAKER_22
transcript.pyannote[2484].start 14126.85284375
transcript.pyannote[2484].end 14128.62471875
transcript.pyannote[2485].speaker SPEAKER_22
transcript.pyannote[2485].start 14128.92846875
transcript.pyannote[2485].end 14131.45971875
transcript.pyannote[2486].speaker SPEAKER_22
transcript.pyannote[2486].start 14131.96596875
transcript.pyannote[2486].end 14136.65721875
transcript.pyannote[2487].speaker SPEAKER_22
transcript.pyannote[2487].start 14136.89346875
transcript.pyannote[2487].end 14140.77471875
transcript.pyannote[2488].speaker SPEAKER_22
transcript.pyannote[2488].start 14141.77034375
transcript.pyannote[2488].end 14143.23846875
transcript.pyannote[2489].speaker SPEAKER_22
transcript.pyannote[2489].start 14143.96409375
transcript.pyannote[2489].end 14145.02721875
transcript.pyannote[2490].speaker SPEAKER_17
transcript.pyannote[2490].start 14145.02721875
transcript.pyannote[2490].end 14148.85784375
transcript.pyannote[2491].speaker SPEAKER_17
transcript.pyannote[2491].start 14149.73534375
transcript.pyannote[2491].end 14150.52846875
transcript.pyannote[2492].speaker SPEAKER_22
transcript.pyannote[2492].start 14158.96596875
transcript.pyannote[2492].end 14160.21471875
transcript.pyannote[2493].speaker SPEAKER_22
transcript.pyannote[2493].start 14164.87221875
transcript.pyannote[2493].end 14171.53784375
transcript.pyannote[2494].speaker SPEAKER_22
transcript.pyannote[2494].start 14172.28034375
transcript.pyannote[2494].end 14175.23346875
transcript.pyannote[2495].speaker SPEAKER_40
transcript.pyannote[2495].start 14173.95096875
transcript.pyannote[2495].end 14174.81159375
transcript.pyannote[2496].speaker SPEAKER_22
transcript.pyannote[2496].start 14176.87034375
transcript.pyannote[2496].end 14178.23721875
transcript.pyannote[2497].speaker SPEAKER_22
transcript.pyannote[2497].start 14182.06784375
transcript.pyannote[2497].end 14184.41346875
transcript.pyannote[2498].speaker SPEAKER_13
transcript.pyannote[2498].start 14195.97284375
transcript.pyannote[2498].end 14196.02346875
transcript.pyannote[2499].speaker SPEAKER_13
transcript.pyannote[2499].start 14200.96784375
transcript.pyannote[2499].end 14201.27159375
transcript.pyannote[2500].speaker SPEAKER_22
transcript.pyannote[2500].start 14224.20471875
transcript.pyannote[2500].end 14238.07596875
transcript.pyannote[2501].speaker SPEAKER_22
transcript.pyannote[2501].start 14238.34596875
transcript.pyannote[2501].end 14239.59471875
transcript.pyannote[2502].speaker SPEAKER_22
transcript.pyannote[2502].start 14240.64096875
transcript.pyannote[2502].end 14240.67471875
transcript.pyannote[2503].speaker SPEAKER_22
transcript.pyannote[2503].start 14240.82659375
transcript.pyannote[2503].end 14241.02909375
transcript.pyannote[2504].speaker SPEAKER_22
transcript.pyannote[2504].start 14243.93159375
transcript.pyannote[2504].end 14248.33596875
transcript.pyannote[2505].speaker SPEAKER_22
transcript.pyannote[2505].start 14248.43721875
transcript.pyannote[2505].end 14251.03596875
transcript.pyannote[2506].speaker SPEAKER_40
transcript.pyannote[2506].start 14249.19659375
transcript.pyannote[2506].end 14250.24284375
transcript.pyannote[2507].speaker SPEAKER_40
transcript.pyannote[2507].start 14251.03596875
transcript.pyannote[2507].end 14252.08221875
transcript.pyannote[2508].speaker SPEAKER_40
transcript.pyannote[2508].start 14252.50409375
transcript.pyannote[2508].end 14252.53784375
transcript.pyannote[2509].speaker SPEAKER_40
transcript.pyannote[2509].start 14253.28034375
transcript.pyannote[2509].end 14256.03096875
transcript.pyannote[2510].speaker SPEAKER_40
transcript.pyannote[2510].start 14256.06471875
transcript.pyannote[2510].end 14256.16596875
transcript.pyannote[2511].speaker SPEAKER_40
transcript.pyannote[2511].start 14256.18284375
transcript.pyannote[2511].end 14256.19971875
transcript.pyannote[2512].speaker SPEAKER_40
transcript.pyannote[2512].start 14256.21659375
transcript.pyannote[2512].end 14256.25034375
transcript.pyannote[2513].speaker SPEAKER_40
transcript.pyannote[2513].start 14256.30096875
transcript.pyannote[2513].end 14258.56221875
transcript.pyannote[2514].speaker SPEAKER_40
transcript.pyannote[2514].start 14285.08971875
transcript.pyannote[2514].end 14285.41034375
transcript.pyannote[2515].speaker SPEAKER_22
transcript.pyannote[2515].start 14285.41034375
transcript.pyannote[2515].end 14285.52846875
transcript.pyannote[2516].speaker SPEAKER_22
transcript.pyannote[2516].start 14285.54534375
transcript.pyannote[2516].end 14285.56221875
transcript.pyannote[2517].speaker SPEAKER_40
transcript.pyannote[2517].start 14285.56221875
transcript.pyannote[2517].end 14285.61284375
transcript.pyannote[2518].speaker SPEAKER_22
transcript.pyannote[2518].start 14285.61284375
transcript.pyannote[2518].end 14285.89971875
transcript.pyannote[2519].speaker SPEAKER_24
transcript.pyannote[2519].start 14285.89971875
transcript.pyannote[2519].end 14285.91659375
transcript.pyannote[2520].speaker SPEAKER_22
transcript.pyannote[2520].start 14285.91659375
transcript.pyannote[2520].end 14286.59159375
transcript.pyannote[2521].speaker SPEAKER_40
transcript.pyannote[2521].start 14287.24971875
transcript.pyannote[2521].end 14287.63784375
transcript.pyannote[2522].speaker SPEAKER_22
transcript.pyannote[2522].start 14287.63784375
transcript.pyannote[2522].end 14287.80659375
transcript.pyannote[2523].speaker SPEAKER_40
transcript.pyannote[2523].start 14287.80659375
transcript.pyannote[2523].end 14287.84034375
transcript.pyannote[2524].speaker SPEAKER_22
transcript.pyannote[2524].start 14287.84034375
transcript.pyannote[2524].end 14288.31284375
transcript.pyannote[2525].speaker SPEAKER_40
transcript.pyannote[2525].start 14288.85284375
transcript.pyannote[2525].end 14289.10596875
transcript.pyannote[2526].speaker SPEAKER_22
transcript.pyannote[2526].start 14289.10596875
transcript.pyannote[2526].end 14289.39284375
transcript.pyannote[2527].speaker SPEAKER_40
transcript.pyannote[2527].start 14289.39284375
transcript.pyannote[2527].end 14294.20221875
transcript.pyannote[2528].speaker SPEAKER_22
transcript.pyannote[2528].start 14289.69659375
transcript.pyannote[2528].end 14292.36284375
transcript.pyannote[2529].speaker SPEAKER_22
transcript.pyannote[2529].start 14294.20221875
transcript.pyannote[2529].end 14296.58159375
transcript.pyannote[2530].speaker SPEAKER_24
transcript.pyannote[2530].start 14297.59409375
transcript.pyannote[2530].end 14297.74596875
transcript.pyannote[2531].speaker SPEAKER_17
transcript.pyannote[2531].start 14297.74596875
transcript.pyannote[2531].end 14298.85971875
transcript.pyannote[2532].speaker SPEAKER_24
transcript.pyannote[2532].start 14315.97096875
transcript.pyannote[2532].end 14316.02159375
transcript.pyannote[2533].speaker SPEAKER_22
transcript.pyannote[2533].start 14321.97846875
transcript.pyannote[2533].end 14322.02909375
transcript.pyannote[2534].speaker SPEAKER_22
transcript.pyannote[2534].start 14322.97409375
transcript.pyannote[2534].end 14323.61534375
transcript.pyannote[2535].speaker SPEAKER_22
transcript.pyannote[2535].start 14323.96971875
transcript.pyannote[2535].end 14324.03721875
transcript.pyannote[2536].speaker SPEAKER_22
transcript.pyannote[2536].start 14324.20596875
transcript.pyannote[2536].end 14326.28159375
transcript.pyannote[2537].speaker SPEAKER_22
transcript.pyannote[2537].start 14326.82159375
transcript.pyannote[2537].end 14327.78346875
transcript.pyannote[2538].speaker SPEAKER_24
transcript.pyannote[2538].start 14369.78534375
transcript.pyannote[2538].end 14371.64159375
transcript.pyannote[2539].speaker SPEAKER_18
transcript.pyannote[2539].start 15131.75909375
transcript.pyannote[2539].end 15147.03096875
transcript.pyannote[2540].speaker SPEAKER_18
transcript.pyannote[2540].start 15147.41909375
transcript.pyannote[2540].end 15149.00534375
transcript.pyannote[2541].speaker SPEAKER_18
transcript.pyannote[2541].start 15149.83221875
transcript.pyannote[2541].end 15154.48971875
transcript.pyannote[2542].speaker SPEAKER_18
transcript.pyannote[2542].start 15155.14784375
transcript.pyannote[2542].end 15155.95784375
transcript.pyannote[2543].speaker SPEAKER_18
transcript.pyannote[2543].start 15157.10534375
transcript.pyannote[2543].end 15159.33284375
transcript.pyannote[2544].speaker SPEAKER_18
transcript.pyannote[2544].start 15163.34909375
transcript.pyannote[2544].end 15163.55159375
transcript.pyannote[2545].speaker SPEAKER_18
transcript.pyannote[2545].start 15163.72034375
transcript.pyannote[2545].end 15165.88034375
transcript.pyannote[2546].speaker SPEAKER_18
transcript.pyannote[2546].start 15166.55534375
transcript.pyannote[2546].end 15168.68159375
transcript.pyannote[2547].speaker SPEAKER_18
transcript.pyannote[2547].start 15171.21284375
transcript.pyannote[2547].end 15172.39409375
transcript.pyannote[2548].speaker SPEAKER_18
transcript.pyannote[2548].start 15174.25034375
transcript.pyannote[2548].end 15175.27971875
transcript.pyannote[2549].speaker SPEAKER_18
transcript.pyannote[2549].start 15176.69721875
transcript.pyannote[2549].end 15177.55784375
transcript.pyannote[2550].speaker SPEAKER_18
transcript.pyannote[2550].start 15178.73909375
transcript.pyannote[2550].end 15179.59971875
transcript.pyannote[2551].speaker SPEAKER_18
transcript.pyannote[2551].start 15180.34221875
transcript.pyannote[2551].end 15182.11409375
transcript.pyannote[2552].speaker SPEAKER_18
transcript.pyannote[2552].start 15182.82284375
transcript.pyannote[2552].end 15184.76346875
transcript.pyannote[2553].speaker SPEAKER_18
transcript.pyannote[2553].start 15185.50596875
transcript.pyannote[2553].end 15188.45909375
transcript.pyannote[2554].speaker SPEAKER_18
transcript.pyannote[2554].start 15191.66534375
transcript.pyannote[2554].end 15192.50909375
transcript.pyannote[2555].speaker SPEAKER_18
transcript.pyannote[2555].start 15193.58909375
transcript.pyannote[2555].end 15196.55909375
transcript.pyannote[2556].speaker SPEAKER_18
transcript.pyannote[2556].start 15197.30159375
transcript.pyannote[2556].end 15197.67284375
transcript.pyannote[2557].speaker SPEAKER_18
transcript.pyannote[2557].start 15198.33096875
transcript.pyannote[2557].end 15199.20846875
transcript.pyannote[2558].speaker SPEAKER_18
transcript.pyannote[2558].start 15199.84971875
transcript.pyannote[2558].end 15201.25034375
transcript.pyannote[2559].speaker SPEAKER_18
transcript.pyannote[2559].start 15203.30909375
transcript.pyannote[2559].end 15204.27096875
transcript.pyannote[2560].speaker SPEAKER_18
transcript.pyannote[2560].start 15204.77721875
transcript.pyannote[2560].end 15205.45221875
transcript.pyannote[2561].speaker SPEAKER_18
transcript.pyannote[2561].start 15205.90784375
transcript.pyannote[2561].end 15216.18471875
transcript.pyannote[2562].speaker SPEAKER_18
transcript.pyannote[2562].start 15216.70784375
transcript.pyannote[2562].end 15219.30659375
transcript.pyannote[2563].speaker SPEAKER_18
transcript.pyannote[2563].start 15220.52159375
transcript.pyannote[2563].end 15222.42846875
transcript.pyannote[2564].speaker SPEAKER_18
transcript.pyannote[2564].start 15223.27221875
transcript.pyannote[2564].end 15230.68034375
transcript.pyannote[2565].speaker SPEAKER_38
transcript.pyannote[2565].start 15227.82846875
transcript.pyannote[2565].end 15228.04784375
transcript.pyannote[2566].speaker SPEAKER_24
transcript.pyannote[2566].start 15228.04784375
transcript.pyannote[2566].end 15228.85784375
transcript.pyannote[2567].speaker SPEAKER_38
transcript.pyannote[2567].start 15228.85784375
transcript.pyannote[2567].end 15228.89159375
transcript.pyannote[2568].speaker SPEAKER_24
transcript.pyannote[2568].start 15230.52846875
transcript.pyannote[2568].end 15231.27096875
transcript.pyannote[2569].speaker SPEAKER_18
transcript.pyannote[2569].start 15231.27096875
transcript.pyannote[2569].end 15231.33846875
transcript.pyannote[2570].speaker SPEAKER_18
transcript.pyannote[2570].start 15231.52409375
transcript.pyannote[2570].end 15233.53221875
transcript.pyannote[2571].speaker SPEAKER_38
transcript.pyannote[2571].start 15233.53221875
transcript.pyannote[2571].end 15233.54909375
transcript.pyannote[2572].speaker SPEAKER_18
transcript.pyannote[2572].start 15233.54909375
transcript.pyannote[2572].end 15233.61659375
transcript.pyannote[2573].speaker SPEAKER_38
transcript.pyannote[2573].start 15233.61659375
transcript.pyannote[2573].end 15268.29471875
transcript.pyannote[2574].speaker SPEAKER_00
transcript.pyannote[2574].start 15241.31159375
transcript.pyannote[2574].end 15241.34534375
transcript.pyannote[2575].speaker SPEAKER_08
transcript.pyannote[2575].start 15241.34534375
transcript.pyannote[2575].end 15241.64909375
transcript.pyannote[2576].speaker SPEAKER_00
transcript.pyannote[2576].start 15241.64909375
transcript.pyannote[2576].end 15241.78409375
transcript.pyannote[2577].speaker SPEAKER_38
transcript.pyannote[2577].start 15268.56471875
transcript.pyannote[2577].end 15303.59721875
transcript.pyannote[2578].speaker SPEAKER_00
transcript.pyannote[2578].start 15298.56846875
transcript.pyannote[2578].end 15298.70346875
transcript.pyannote[2579].speaker SPEAKER_38
transcript.pyannote[2579].start 15304.50846875
transcript.pyannote[2579].end 15326.96909375
transcript.pyannote[2580].speaker SPEAKER_38
transcript.pyannote[2580].start 15327.15471875
transcript.pyannote[2580].end 15338.73096875
transcript.pyannote[2581].speaker SPEAKER_38
transcript.pyannote[2581].start 15339.45659375
transcript.pyannote[2581].end 15341.14409375
transcript.pyannote[2582].speaker SPEAKER_38
transcript.pyannote[2582].start 15341.34659375
transcript.pyannote[2582].end 15366.18659375
transcript.pyannote[2583].speaker SPEAKER_38
transcript.pyannote[2583].start 15367.33409375
transcript.pyannote[2583].end 15370.87784375
transcript.pyannote[2584].speaker SPEAKER_38
transcript.pyannote[2584].start 15371.63721875
transcript.pyannote[2584].end 15372.97034375
transcript.pyannote[2585].speaker SPEAKER_18
transcript.pyannote[2585].start 15372.97034375
transcript.pyannote[2585].end 15374.64096875
transcript.pyannote[2586].speaker SPEAKER_18
transcript.pyannote[2586].start 15374.97846875
transcript.pyannote[2586].end 15377.57721875
transcript.pyannote[2587].speaker SPEAKER_38
transcript.pyannote[2587].start 15379.45034375
transcript.pyannote[2587].end 15386.97659375
transcript.pyannote[2588].speaker SPEAKER_18
transcript.pyannote[2588].start 15381.35721875
transcript.pyannote[2588].end 15381.66096875
transcript.pyannote[2589].speaker SPEAKER_18
transcript.pyannote[2589].start 15386.97659375
transcript.pyannote[2589].end 15413.03159375
transcript.pyannote[2590].speaker SPEAKER_38
transcript.pyannote[2590].start 15413.03159375
transcript.pyannote[2590].end 15415.88346875
transcript.pyannote[2591].speaker SPEAKER_38
transcript.pyannote[2591].start 15416.38971875
transcript.pyannote[2591].end 15417.85784375
transcript.pyannote[2592].speaker SPEAKER_38
transcript.pyannote[2592].start 15418.78596875
transcript.pyannote[2592].end 15430.00784375
transcript.pyannote[2593].speaker SPEAKER_18
transcript.pyannote[2593].start 15429.88971875
transcript.pyannote[2593].end 15434.59784375
transcript.pyannote[2594].speaker SPEAKER_24
transcript.pyannote[2594].start 15434.74971875
transcript.pyannote[2594].end 15435.15471875
transcript.pyannote[2595].speaker SPEAKER_18
transcript.pyannote[2595].start 15435.50909375
transcript.pyannote[2595].end 15435.91409375
transcript.pyannote[2596].speaker SPEAKER_18
transcript.pyannote[2596].start 15436.13346875
transcript.pyannote[2596].end 15438.61409375
transcript.pyannote[2597].speaker SPEAKER_24
transcript.pyannote[2597].start 15436.53846875
transcript.pyannote[2597].end 15438.49596875
transcript.pyannote[2598].speaker SPEAKER_18
transcript.pyannote[2598].start 15438.93471875
transcript.pyannote[2598].end 15446.03909375
transcript.pyannote[2599].speaker SPEAKER_38
transcript.pyannote[2599].start 15446.03909375
transcript.pyannote[2599].end 15446.96721875
transcript.pyannote[2600].speaker SPEAKER_18
transcript.pyannote[2600].start 15446.96721875
transcript.pyannote[2600].end 15453.36284375
transcript.pyannote[2601].speaker SPEAKER_38
transcript.pyannote[2601].start 15448.97534375
transcript.pyannote[2601].end 15451.11846875
transcript.pyannote[2602].speaker SPEAKER_38
transcript.pyannote[2602].start 15452.29971875
transcript.pyannote[2602].end 15454.83096875
transcript.pyannote[2603].speaker SPEAKER_18
transcript.pyannote[2603].start 15455.65784375
transcript.pyannote[2603].end 15467.58846875
transcript.pyannote[2604].speaker SPEAKER_18
transcript.pyannote[2604].start 15468.51659375
transcript.pyannote[2604].end 15469.52909375
transcript.pyannote[2605].speaker SPEAKER_18
transcript.pyannote[2605].start 15470.23784375
transcript.pyannote[2605].end 15471.03096875
transcript.pyannote[2606].speaker SPEAKER_17
transcript.pyannote[2606].start 15471.03096875
transcript.pyannote[2606].end 15476.73471875
transcript.pyannote[2607].speaker SPEAKER_17
transcript.pyannote[2607].start 15476.98784375
transcript.pyannote[2607].end 15488.83409375
transcript.pyannote[2608].speaker SPEAKER_17
transcript.pyannote[2608].start 15492.88409375
transcript.pyannote[2608].end 15492.90096875
transcript.pyannote[2609].speaker SPEAKER_18
transcript.pyannote[2609].start 15492.90096875
transcript.pyannote[2609].end 15496.02284375
transcript.pyannote[2610].speaker SPEAKER_31
transcript.pyannote[2610].start 15496.39409375
transcript.pyannote[2610].end 15538.10909375
transcript.pyannote[2611].speaker SPEAKER_31
transcript.pyannote[2611].start 15538.32846875
transcript.pyannote[2611].end 15547.60971875
transcript.pyannote[2612].speaker SPEAKER_31
transcript.pyannote[2612].start 15548.40284375
transcript.pyannote[2612].end 15552.43596875
transcript.pyannote[2613].speaker SPEAKER_31
transcript.pyannote[2613].start 15553.16159375
transcript.pyannote[2613].end 15568.87221875
transcript.pyannote[2614].speaker SPEAKER_31
transcript.pyannote[2614].start 15568.88909375
transcript.pyannote[2614].end 15593.44221875
transcript.pyannote[2615].speaker SPEAKER_00
transcript.pyannote[2615].start 15595.75409375
transcript.pyannote[2615].end 15595.77096875
transcript.pyannote[2616].speaker SPEAKER_31
transcript.pyannote[2616].start 15595.77096875
transcript.pyannote[2616].end 15596.02409375
transcript.pyannote[2617].speaker SPEAKER_00
transcript.pyannote[2617].start 15595.80471875
transcript.pyannote[2617].end 15598.36971875
transcript.pyannote[2618].speaker SPEAKER_29
transcript.pyannote[2618].start 15596.02409375
transcript.pyannote[2618].end 15596.07471875
transcript.pyannote[2619].speaker SPEAKER_29
transcript.pyannote[2619].start 15596.49659375
transcript.pyannote[2619].end 15596.56409375
transcript.pyannote[2620].speaker SPEAKER_31
transcript.pyannote[2620].start 15596.56409375
transcript.pyannote[2620].end 15598.85909375
transcript.pyannote[2621].speaker SPEAKER_31
transcript.pyannote[2621].start 15599.31471875
transcript.pyannote[2621].end 15611.80221875
transcript.pyannote[2622].speaker SPEAKER_31
transcript.pyannote[2622].start 15612.08909375
transcript.pyannote[2622].end 15630.07784375
transcript.pyannote[2623].speaker SPEAKER_31
transcript.pyannote[2623].start 15630.31409375
transcript.pyannote[2623].end 15633.57096875
transcript.pyannote[2624].speaker SPEAKER_31
transcript.pyannote[2624].start 15633.84096875
transcript.pyannote[2624].end 15635.57909375
transcript.pyannote[2625].speaker SPEAKER_18
transcript.pyannote[2625].start 15637.03034375
transcript.pyannote[2625].end 15638.93721875
transcript.pyannote[2626].speaker SPEAKER_17
transcript.pyannote[2626].start 15641.13096875
transcript.pyannote[2626].end 15648.79221875
transcript.pyannote[2627].speaker SPEAKER_38
transcript.pyannote[2627].start 15645.80534375
transcript.pyannote[2627].end 15646.26096875
transcript.pyannote[2628].speaker SPEAKER_17
transcript.pyannote[2628].start 15649.01159375
transcript.pyannote[2628].end 15654.05721875
transcript.pyannote[2629].speaker SPEAKER_17
transcript.pyannote[2629].start 15656.58846875
transcript.pyannote[2629].end 15657.02721875
transcript.pyannote[2630].speaker SPEAKER_06
transcript.pyannote[2630].start 15657.02721875
transcript.pyannote[2630].end 15657.71909375
transcript.pyannote[2631].speaker SPEAKER_06
transcript.pyannote[2631].start 15659.76096875
transcript.pyannote[2631].end 15678.08721875
transcript.pyannote[2632].speaker SPEAKER_06
transcript.pyannote[2632].start 15678.23909375
transcript.pyannote[2632].end 15720.20721875
transcript.pyannote[2633].speaker SPEAKER_24
transcript.pyannote[2633].start 15685.54596875
transcript.pyannote[2633].end 15686.15346875
transcript.pyannote[2634].speaker SPEAKER_06
transcript.pyannote[2634].start 15720.59534375
transcript.pyannote[2634].end 15735.15846875
transcript.pyannote[2635].speaker SPEAKER_06
transcript.pyannote[2635].start 15735.96846875
transcript.pyannote[2635].end 15759.94784375
transcript.pyannote[2636].speaker SPEAKER_06
transcript.pyannote[2636].start 15761.06159375
transcript.pyannote[2636].end 15762.22596875
transcript.pyannote[2637].speaker SPEAKER_18
transcript.pyannote[2637].start 15762.22596875
transcript.pyannote[2637].end 15762.24284375
transcript.pyannote[2638].speaker SPEAKER_06
transcript.pyannote[2638].start 15763.82909375
transcript.pyannote[2638].end 15763.96409375
transcript.pyannote[2639].speaker SPEAKER_18
transcript.pyannote[2639].start 15763.96409375
transcript.pyannote[2639].end 15786.42471875
transcript.pyannote[2640].speaker SPEAKER_18
transcript.pyannote[2640].start 15786.66096875
transcript.pyannote[2640].end 15822.95909375
transcript.pyannote[2641].speaker SPEAKER_18
transcript.pyannote[2641].start 15823.16159375
transcript.pyannote[2641].end 15846.19596875
transcript.pyannote[2642].speaker SPEAKER_18
transcript.pyannote[2642].start 15846.73596875
transcript.pyannote[2642].end 15847.17471875
transcript.pyannote[2643].speaker SPEAKER_18
transcript.pyannote[2643].start 15847.44471875
transcript.pyannote[2643].end 15850.00971875
transcript.pyannote[2644].speaker SPEAKER_18
transcript.pyannote[2644].start 15850.39784375
transcript.pyannote[2644].end 15851.17409375
transcript.pyannote[2645].speaker SPEAKER_18
transcript.pyannote[2645].start 15851.51159375
transcript.pyannote[2645].end 15851.88284375
transcript.pyannote[2646].speaker SPEAKER_18
transcript.pyannote[2646].start 15852.37221875
transcript.pyannote[2646].end 15852.96284375
transcript.pyannote[2647].speaker SPEAKER_18
transcript.pyannote[2647].start 15853.53659375
transcript.pyannote[2647].end 15853.95846875
transcript.pyannote[2648].speaker SPEAKER_18
transcript.pyannote[2648].start 15855.08909375
transcript.pyannote[2648].end 15856.57409375
transcript.pyannote[2649].speaker SPEAKER_18
transcript.pyannote[2649].start 15856.82721875
transcript.pyannote[2649].end 15857.18159375
transcript.pyannote[2650].speaker SPEAKER_18
transcript.pyannote[2650].start 15858.02534375
transcript.pyannote[2650].end 15859.89846875
transcript.pyannote[2651].speaker SPEAKER_18
transcript.pyannote[2651].start 15860.86034375
transcript.pyannote[2651].end 15861.72096875
transcript.pyannote[2652].speaker SPEAKER_18
transcript.pyannote[2652].start 15862.12596875
transcript.pyannote[2652].end 15864.45471875
transcript.pyannote[2653].speaker SPEAKER_18
transcript.pyannote[2653].start 15864.79221875
transcript.pyannote[2653].end 15896.97284375
transcript.pyannote[2654].speaker SPEAKER_18
transcript.pyannote[2654].start 15897.12471875
transcript.pyannote[2654].end 15901.56284375
transcript.pyannote[2655].speaker SPEAKER_18
transcript.pyannote[2655].start 15902.22096875
transcript.pyannote[2655].end 15936.81471875
transcript.pyannote[2656].speaker SPEAKER_18
transcript.pyannote[2656].start 15936.93284375
transcript.pyannote[2656].end 15937.91159375
transcript.pyannote[2657].speaker SPEAKER_38
transcript.pyannote[2657].start 15937.91159375
transcript.pyannote[2657].end 15986.68034375
transcript.pyannote[2658].speaker SPEAKER_38
transcript.pyannote[2658].start 15987.62534375
transcript.pyannote[2658].end 15991.10159375
transcript.pyannote[2659].speaker SPEAKER_38
transcript.pyannote[2659].start 15991.43909375
transcript.pyannote[2659].end 15998.50971875
transcript.pyannote[2660].speaker SPEAKER_38
transcript.pyannote[2660].start 15999.70784375
transcript.pyannote[2660].end 16025.91471875
transcript.pyannote[2661].speaker SPEAKER_38
transcript.pyannote[2661].start 16026.13409375
transcript.pyannote[2661].end 16058.44971875
transcript.pyannote[2662].speaker SPEAKER_38
transcript.pyannote[2662].start 16059.07409375
transcript.pyannote[2662].end 16091.44034375
transcript.pyannote[2663].speaker SPEAKER_38
transcript.pyannote[2663].start 16091.69346875
transcript.pyannote[2663].end 16093.33034375
transcript.pyannote[2664].speaker SPEAKER_38
transcript.pyannote[2664].start 16093.71846875
transcript.pyannote[2664].end 16111.90971875
transcript.pyannote[2665].speaker SPEAKER_38
transcript.pyannote[2665].start 16112.02784375
transcript.pyannote[2665].end 16124.95409375
transcript.pyannote[2666].speaker SPEAKER_38
transcript.pyannote[2666].start 16127.87346875
transcript.pyannote[2666].end 16127.90721875
transcript.pyannote[2667].speaker SPEAKER_18
transcript.pyannote[2667].start 16127.90721875
transcript.pyannote[2667].end 16127.94096875
transcript.pyannote[2668].speaker SPEAKER_38
transcript.pyannote[2668].start 16127.94096875
transcript.pyannote[2668].end 16127.95784375
transcript.pyannote[2669].speaker SPEAKER_18
transcript.pyannote[2669].start 16127.95784375
transcript.pyannote[2669].end 16134.20159375
transcript.pyannote[2670].speaker SPEAKER_38
transcript.pyannote[2670].start 16134.20159375
transcript.pyannote[2670].end 16141.37346875
transcript.pyannote[2671].speaker SPEAKER_18
transcript.pyannote[2671].start 16139.55096875
transcript.pyannote[2671].end 16140.05721875
transcript.pyannote[2672].speaker SPEAKER_18
transcript.pyannote[2672].start 16140.51284375
transcript.pyannote[2672].end 16142.58846875
transcript.pyannote[2673].speaker SPEAKER_38
transcript.pyannote[2673].start 16142.58846875
transcript.pyannote[2673].end 16148.34284375
transcript.pyannote[2674].speaker SPEAKER_18
transcript.pyannote[2674].start 16149.25409375
transcript.pyannote[2674].end 16150.03034375
transcript.pyannote[2675].speaker SPEAKER_38
transcript.pyannote[2675].start 16149.28784375
transcript.pyannote[2675].end 16150.95846875
transcript.pyannote[2676].speaker SPEAKER_18
transcript.pyannote[2676].start 16152.56159375
transcript.pyannote[2676].end 16152.91596875
transcript.pyannote[2677].speaker SPEAKER_18
transcript.pyannote[2677].start 16153.48971875
transcript.pyannote[2677].end 16171.76534375
transcript.pyannote[2678].speaker SPEAKER_18
transcript.pyannote[2678].start 16172.11971875
transcript.pyannote[2678].end 16172.74409375
transcript.pyannote[2679].speaker SPEAKER_18
transcript.pyannote[2679].start 16173.09846875
transcript.pyannote[2679].end 16176.92909375
transcript.pyannote[2680].speaker SPEAKER_18
transcript.pyannote[2680].start 16176.99659375
transcript.pyannote[2680].end 16177.03034375
transcript.pyannote[2681].speaker SPEAKER_18
transcript.pyannote[2681].start 16177.06409375
transcript.pyannote[2681].end 16178.19471875
transcript.pyannote[2682].speaker SPEAKER_18
transcript.pyannote[2682].start 16178.44784375
transcript.pyannote[2682].end 16180.28721875
transcript.pyannote[2683].speaker SPEAKER_18
transcript.pyannote[2683].start 16181.01284375
transcript.pyannote[2683].end 16181.13096875
transcript.pyannote[2684].speaker SPEAKER_18
transcript.pyannote[2684].start 16184.97846875
transcript.pyannote[2684].end 16186.41284375
transcript.pyannote[2685].speaker SPEAKER_18
transcript.pyannote[2685].start 16189.04534375
transcript.pyannote[2685].end 16189.87221875
transcript.pyannote[2686].speaker SPEAKER_18
transcript.pyannote[2686].start 16190.47971875
transcript.pyannote[2686].end 16191.96471875
transcript.pyannote[2687].speaker SPEAKER_18
transcript.pyannote[2687].start 16192.20096875
transcript.pyannote[2687].end 16193.33159375
transcript.pyannote[2688].speaker SPEAKER_18
transcript.pyannote[2688].start 16193.43284375
transcript.pyannote[2688].end 16194.41159375
transcript.pyannote[2689].speaker SPEAKER_18
transcript.pyannote[2689].start 16194.86721875
transcript.pyannote[2689].end 16197.04409375
transcript.pyannote[2690].speaker SPEAKER_18
transcript.pyannote[2690].start 16197.16221875
transcript.pyannote[2690].end 16198.83284375
transcript.pyannote[2691].speaker SPEAKER_38
transcript.pyannote[2691].start 16199.05221875
transcript.pyannote[2691].end 16199.82846875
transcript.pyannote[2692].speaker SPEAKER_18
transcript.pyannote[2692].start 16199.64284375
transcript.pyannote[2692].end 16200.90846875
transcript.pyannote[2693].speaker SPEAKER_18
transcript.pyannote[2693].start 16201.38096875
transcript.pyannote[2693].end 16203.01784375
transcript.pyannote[2694].speaker SPEAKER_38
transcript.pyannote[2694].start 16203.01784375
transcript.pyannote[2694].end 16218.39096875
transcript.pyannote[2695].speaker SPEAKER_18
transcript.pyannote[2695].start 16203.84471875
transcript.pyannote[2695].end 16204.99221875
transcript.pyannote[2696].speaker SPEAKER_18
transcript.pyannote[2696].start 16210.39221875
transcript.pyannote[2696].end 16210.42596875
transcript.pyannote[2697].speaker SPEAKER_08
transcript.pyannote[2697].start 16210.42596875
transcript.pyannote[2697].end 16210.44284375
transcript.pyannote[2698].speaker SPEAKER_18
transcript.pyannote[2698].start 16210.44284375
transcript.pyannote[2698].end 16211.97846875
transcript.pyannote[2699].speaker SPEAKER_40
transcript.pyannote[2699].start 16211.97846875
transcript.pyannote[2699].end 16212.02909375
transcript.pyannote[2700].speaker SPEAKER_18
transcript.pyannote[2700].start 16212.02909375
transcript.pyannote[2700].end 16212.13034375
transcript.pyannote[2701].speaker SPEAKER_18
transcript.pyannote[2701].start 16213.93596875
transcript.pyannote[2701].end 16214.05409375
transcript.pyannote[2702].speaker SPEAKER_18
transcript.pyannote[2702].start 16214.54346875
transcript.pyannote[2702].end 16214.62784375
transcript.pyannote[2703].speaker SPEAKER_18
transcript.pyannote[2703].start 16217.56409375
transcript.pyannote[2703].end 16225.86659375
transcript.pyannote[2704].speaker SPEAKER_38
transcript.pyannote[2704].start 16222.40721875
transcript.pyannote[2704].end 16223.50409375
transcript.pyannote[2705].speaker SPEAKER_18
transcript.pyannote[2705].start 16225.91721875
transcript.pyannote[2705].end 16226.82846875
transcript.pyannote[2706].speaker SPEAKER_18
transcript.pyannote[2706].start 16227.16596875
transcript.pyannote[2706].end 16228.78596875
transcript.pyannote[2707].speaker SPEAKER_18
transcript.pyannote[2707].start 16229.17409375
transcript.pyannote[2707].end 16229.78159375
transcript.pyannote[2708].speaker SPEAKER_18
transcript.pyannote[2708].start 16230.64221875
transcript.pyannote[2708].end 16231.08096875
transcript.pyannote[2709].speaker SPEAKER_18
transcript.pyannote[2709].start 16231.97534375
transcript.pyannote[2709].end 16233.94971875
transcript.pyannote[2710].speaker SPEAKER_18
transcript.pyannote[2710].start 16234.23659375
transcript.pyannote[2710].end 16237.22346875
transcript.pyannote[2711].speaker SPEAKER_38
transcript.pyannote[2711].start 16236.19409375
transcript.pyannote[2711].end 16236.29534375
transcript.pyannote[2712].speaker SPEAKER_15
transcript.pyannote[2712].start 16236.29534375
transcript.pyannote[2712].end 16236.32909375
transcript.pyannote[2713].speaker SPEAKER_00
transcript.pyannote[2713].start 16236.32909375
transcript.pyannote[2713].end 16236.36284375
transcript.pyannote[2714].speaker SPEAKER_18
transcript.pyannote[2714].start 16243.18034375
transcript.pyannote[2714].end 16246.06596875
transcript.pyannote[2715].speaker SPEAKER_18
transcript.pyannote[2715].start 16246.85909375
transcript.pyannote[2715].end 16249.00221875
transcript.pyannote[2716].speaker SPEAKER_11
transcript.pyannote[2716].start 16252.76534375
transcript.pyannote[2716].end 16269.62346875
transcript.pyannote[2717].speaker SPEAKER_11
transcript.pyannote[2717].start 16269.85971875
transcript.pyannote[2717].end 16337.79846875
transcript.pyannote[2718].speaker SPEAKER_11
transcript.pyannote[2718].start 16338.22034375
transcript.pyannote[2718].end 16375.49721875
transcript.pyannote[2719].speaker SPEAKER_11
transcript.pyannote[2719].start 16376.08784375
transcript.pyannote[2719].end 16378.61909375
transcript.pyannote[2720].speaker SPEAKER_11
transcript.pyannote[2720].start 16381.08284375
transcript.pyannote[2720].end 16405.70346875
transcript.pyannote[2721].speaker SPEAKER_11
transcript.pyannote[2721].start 16406.63159375
transcript.pyannote[2721].end 16446.01784375
transcript.pyannote[2722].speaker SPEAKER_18
transcript.pyannote[2722].start 16446.84471875
transcript.pyannote[2722].end 16450.03409375
transcript.pyannote[2723].speaker SPEAKER_31
transcript.pyannote[2723].start 16452.29534375
transcript.pyannote[2723].end 16503.12284375
transcript.pyannote[2724].speaker SPEAKER_18
transcript.pyannote[2724].start 16504.42221875
transcript.pyannote[2724].end 16506.44721875
transcript.pyannote[2725].speaker SPEAKER_18
transcript.pyannote[2725].start 16507.07159375
transcript.pyannote[2725].end 16507.93221875
transcript.pyannote[2726].speaker SPEAKER_17
transcript.pyannote[2726].start 16507.93221875
transcript.pyannote[2726].end 16507.99971875
transcript.pyannote[2727].speaker SPEAKER_18
transcript.pyannote[2727].start 16508.96159375
transcript.pyannote[2727].end 16508.97846875
transcript.pyannote[2728].speaker SPEAKER_17
transcript.pyannote[2728].start 16508.97846875
transcript.pyannote[2728].end 16509.58596875
transcript.pyannote[2729].speaker SPEAKER_17
transcript.pyannote[2729].start 16510.14284375
transcript.pyannote[2729].end 16512.92721875
transcript.pyannote[2730].speaker SPEAKER_17
transcript.pyannote[2730].start 16513.39971875
transcript.pyannote[2730].end 16520.26784375
transcript.pyannote[2731].speaker SPEAKER_17
transcript.pyannote[2731].start 16520.30159375
transcript.pyannote[2731].end 16529.98784375
transcript.pyannote[2732].speaker SPEAKER_18
transcript.pyannote[2732].start 16530.81471875
transcript.pyannote[2732].end 16531.47284375
transcript.pyannote[2733].speaker SPEAKER_38
transcript.pyannote[2733].start 16531.47284375
transcript.pyannote[2733].end 16531.48971875
transcript.pyannote[2734].speaker SPEAKER_17
transcript.pyannote[2734].start 16531.48971875
transcript.pyannote[2734].end 16531.86096875
transcript.pyannote[2735].speaker SPEAKER_38
transcript.pyannote[2735].start 16531.86096875
transcript.pyannote[2735].end 16531.92846875
transcript.pyannote[2736].speaker SPEAKER_38
transcript.pyannote[2736].start 16532.87346875
transcript.pyannote[2736].end 16587.27846875
transcript.pyannote[2737].speaker SPEAKER_00
transcript.pyannote[2737].start 16582.21596875
transcript.pyannote[2737].end 16582.41846875
transcript.pyannote[2738].speaker SPEAKER_38
transcript.pyannote[2738].start 16587.70034375
transcript.pyannote[2738].end 16618.69971875
transcript.pyannote[2739].speaker SPEAKER_38
transcript.pyannote[2739].start 16618.95284375
transcript.pyannote[2739].end 16635.22034375
transcript.pyannote[2740].speaker SPEAKER_38
transcript.pyannote[2740].start 16635.52409375
transcript.pyannote[2740].end 16636.14846875
transcript.pyannote[2741].speaker SPEAKER_38
transcript.pyannote[2741].start 16636.55346875
transcript.pyannote[2741].end 16637.90346875
transcript.pyannote[2742].speaker SPEAKER_38
transcript.pyannote[2742].start 16638.12284375
transcript.pyannote[2742].end 16641.12659375
transcript.pyannote[2743].speaker SPEAKER_38
transcript.pyannote[2743].start 16641.75096875
transcript.pyannote[2743].end 16643.25284375
transcript.pyannote[2744].speaker SPEAKER_38
transcript.pyannote[2744].start 16643.62409375
transcript.pyannote[2744].end 16671.58596875
transcript.pyannote[2745].speaker SPEAKER_38
transcript.pyannote[2745].start 16671.88971875
transcript.pyannote[2745].end 16680.61409375
transcript.pyannote[2746].speaker SPEAKER_38
transcript.pyannote[2746].start 16681.42409375
transcript.pyannote[2746].end 16689.70971875
transcript.pyannote[2747].speaker SPEAKER_38
transcript.pyannote[2747].start 16690.85721875
transcript.pyannote[2747].end 16733.29784375
transcript.pyannote[2748].speaker SPEAKER_00
transcript.pyannote[2748].start 16706.90534375
transcript.pyannote[2748].end 16707.10784375
transcript.pyannote[2749].speaker SPEAKER_38
transcript.pyannote[2749].start 16733.39909375
transcript.pyannote[2749].end 16770.03471875
transcript.pyannote[2750].speaker SPEAKER_38
transcript.pyannote[2750].start 16770.84471875
transcript.pyannote[2750].end 16795.36409375
transcript.pyannote[2751].speaker SPEAKER_38
transcript.pyannote[2751].start 16795.68471875
transcript.pyannote[2751].end 16807.32846875
transcript.pyannote[2752].speaker SPEAKER_34
transcript.pyannote[2752].start 16808.05409375
transcript.pyannote[2752].end 16818.06096875
transcript.pyannote[2753].speaker SPEAKER_34
transcript.pyannote[2753].start 16818.07784375
transcript.pyannote[2753].end 16819.96784375
transcript.pyannote[2754].speaker SPEAKER_34
transcript.pyannote[2754].start 16820.44034375
transcript.pyannote[2754].end 16821.14909375
transcript.pyannote[2755].speaker SPEAKER_34
transcript.pyannote[2755].start 16821.40221875
transcript.pyannote[2755].end 16824.74346875
transcript.pyannote[2756].speaker SPEAKER_34
transcript.pyannote[2756].start 16824.96284375
transcript.pyannote[2756].end 16836.20159375
transcript.pyannote[2757].speaker SPEAKER_34
transcript.pyannote[2757].start 16836.70784375
transcript.pyannote[2757].end 16842.91784375
transcript.pyannote[2758].speaker SPEAKER_34
transcript.pyannote[2758].start 16843.10346875
transcript.pyannote[2758].end 16847.65971875
transcript.pyannote[2759].speaker SPEAKER_34
transcript.pyannote[2759].start 16848.23346875
transcript.pyannote[2759].end 16858.96596875
transcript.pyannote[2760].speaker SPEAKER_34
transcript.pyannote[2760].start 16859.23596875
transcript.pyannote[2760].end 16866.30659375
transcript.pyannote[2761].speaker SPEAKER_34
transcript.pyannote[2761].start 16866.99846875
transcript.pyannote[2761].end 16870.69409375
transcript.pyannote[2762].speaker SPEAKER_34
transcript.pyannote[2762].start 16870.98096875
transcript.pyannote[2762].end 16871.99346875
transcript.pyannote[2763].speaker SPEAKER_34
transcript.pyannote[2763].start 16872.46596875
transcript.pyannote[2763].end 16876.46534375
transcript.pyannote[2764].speaker SPEAKER_34
transcript.pyannote[2764].start 16876.81971875
transcript.pyannote[2764].end 16879.60409375
transcript.pyannote[2765].speaker SPEAKER_34
transcript.pyannote[2765].start 16880.09346875
transcript.pyannote[2765].end 16887.70409375
transcript.pyannote[2766].speaker SPEAKER_18
transcript.pyannote[2766].start 16889.61096875
transcript.pyannote[2766].end 16890.13409375
transcript.pyannote[2767].speaker SPEAKER_18
transcript.pyannote[2767].start 16890.26909375
transcript.pyannote[2767].end 16899.12846875
transcript.pyannote[2768].speaker SPEAKER_18
transcript.pyannote[2768].start 16899.56721875
transcript.pyannote[2768].end 16900.96784375
transcript.pyannote[2769].speaker SPEAKER_18
transcript.pyannote[2769].start 16901.60909375
transcript.pyannote[2769].end 16903.54971875
transcript.pyannote[2770].speaker SPEAKER_18
transcript.pyannote[2770].start 16904.95034375
transcript.pyannote[2770].end 16914.09659375
transcript.pyannote[2771].speaker SPEAKER_18
transcript.pyannote[2771].start 16916.23971875
transcript.pyannote[2771].end 16918.53471875
transcript.pyannote[2772].speaker SPEAKER_18
transcript.pyannote[2772].start 16919.54721875
transcript.pyannote[2772].end 16922.41596875
transcript.pyannote[2773].speaker SPEAKER_18
transcript.pyannote[2773].start 16922.65221875
transcript.pyannote[2773].end 16928.81159375
transcript.pyannote[2774].speaker SPEAKER_18
transcript.pyannote[2774].start 16929.14909375
transcript.pyannote[2774].end 16939.05471875
transcript.pyannote[2775].speaker SPEAKER_18
transcript.pyannote[2775].start 16939.99971875
transcript.pyannote[2775].end 16952.20034375
transcript.pyannote[2776].speaker SPEAKER_18
transcript.pyannote[2776].start 16952.87534375
transcript.pyannote[2776].end 16954.19159375
transcript.pyannote[2777].speaker SPEAKER_18
transcript.pyannote[2777].start 16955.74409375
transcript.pyannote[2777].end 16958.24159375
transcript.pyannote[2778].speaker SPEAKER_18
transcript.pyannote[2778].start 16959.27096875
transcript.pyannote[2778].end 16961.81909375
transcript.pyannote[2779].speaker SPEAKER_18
transcript.pyannote[2779].start 16962.10596875
transcript.pyannote[2779].end 16963.87784375
transcript.pyannote[2780].speaker SPEAKER_18
transcript.pyannote[2780].start 16966.39221875
transcript.pyannote[2780].end 16968.94034375
transcript.pyannote[2781].speaker SPEAKER_18
transcript.pyannote[2781].start 16974.91409375
transcript.pyannote[2781].end 16976.70284375
transcript.pyannote[2782].speaker SPEAKER_18
transcript.pyannote[2782].start 16976.92221875
transcript.pyannote[2782].end 16977.19221875
transcript.pyannote[2783].speaker SPEAKER_06
transcript.pyannote[2783].start 16978.79534375
transcript.pyannote[2783].end 16992.63284375
transcript.pyannote[2784].speaker SPEAKER_06
transcript.pyannote[2784].start 16992.73409375
transcript.pyannote[2784].end 17036.50784375
transcript.pyannote[2785].speaker SPEAKER_06
transcript.pyannote[2785].start 17038.75221875
transcript.pyannote[2785].end 17039.10659375
transcript.pyannote[2786].speaker SPEAKER_18
transcript.pyannote[2786].start 17039.10659375
transcript.pyannote[2786].end 17039.14034375
transcript.pyannote[2787].speaker SPEAKER_06
transcript.pyannote[2787].start 17040.13596875
transcript.pyannote[2787].end 17041.14846875
transcript.pyannote[2788].speaker SPEAKER_17
transcript.pyannote[2788].start 17041.14846875
transcript.pyannote[2788].end 17041.16534375
transcript.pyannote[2789].speaker SPEAKER_06
transcript.pyannote[2789].start 17042.22846875
transcript.pyannote[2789].end 17042.26221875
transcript.pyannote[2790].speaker SPEAKER_17
transcript.pyannote[2790].start 17042.26221875
transcript.pyannote[2790].end 17044.01721875
transcript.pyannote[2791].speaker SPEAKER_17
transcript.pyannote[2791].start 17044.13534375
transcript.pyannote[2791].end 17046.04221875
transcript.pyannote[2792].speaker SPEAKER_17
transcript.pyannote[2792].start 17046.24471875
transcript.pyannote[2792].end 17046.34596875
transcript.pyannote[2793].speaker SPEAKER_17
transcript.pyannote[2793].start 17046.58221875
transcript.pyannote[2793].end 17051.08784375
transcript.pyannote[2794].speaker SPEAKER_17
transcript.pyannote[2794].start 17052.10034375
transcript.pyannote[2794].end 17058.68159375
transcript.pyannote[2795].speaker SPEAKER_17
transcript.pyannote[2795].start 17058.90096875
transcript.pyannote[2795].end 17061.04409375
transcript.pyannote[2796].speaker SPEAKER_18
transcript.pyannote[2796].start 17063.03534375
transcript.pyannote[2796].end 17066.66346875
transcript.pyannote[2797].speaker SPEAKER_38
transcript.pyannote[2797].start 17069.21159375
transcript.pyannote[2797].end 17104.53096875
transcript.pyannote[2798].speaker SPEAKER_38
transcript.pyannote[2798].start 17104.58159375
transcript.pyannote[2798].end 17123.61659375
transcript.pyannote[2799].speaker SPEAKER_24
transcript.pyannote[2799].start 17123.21159375
transcript.pyannote[2799].end 17127.41346875
transcript.pyannote[2800].speaker SPEAKER_17
transcript.pyannote[2800].start 17127.39659375
transcript.pyannote[2800].end 17132.47596875
transcript.pyannote[2801].speaker SPEAKER_24
transcript.pyannote[2801].start 17127.44721875
transcript.pyannote[2801].end 17127.53159375
transcript.pyannote[2802].speaker SPEAKER_17
transcript.pyannote[2802].start 17132.93159375
transcript.pyannote[2802].end 17164.55534375
transcript.pyannote[2803].speaker SPEAKER_18
transcript.pyannote[2803].start 17164.55534375
transcript.pyannote[2803].end 17164.58909375
transcript.pyannote[2804].speaker SPEAKER_17
transcript.pyannote[2804].start 17165.83784375
transcript.pyannote[2804].end 17165.97284375
transcript.pyannote[2805].speaker SPEAKER_18
transcript.pyannote[2805].start 17165.97284375
transcript.pyannote[2805].end 17177.00909375
transcript.pyannote[2806].speaker SPEAKER_18
transcript.pyannote[2806].start 17177.93721875
transcript.pyannote[2806].end 17179.35471875
transcript.pyannote[2807].speaker SPEAKER_18
transcript.pyannote[2807].start 17180.02971875
transcript.pyannote[2807].end 17181.44721875
transcript.pyannote[2808].speaker SPEAKER_18
transcript.pyannote[2808].start 17183.52284375
transcript.pyannote[2808].end 17187.03284375
transcript.pyannote[2809].speaker SPEAKER_18
transcript.pyannote[2809].start 17190.57659375
transcript.pyannote[2809].end 17194.33971875
transcript.pyannote[2810].speaker SPEAKER_18
transcript.pyannote[2810].start 17198.96346875
transcript.pyannote[2810].end 17202.65909375
transcript.pyannote[2811].speaker SPEAKER_06
transcript.pyannote[2811].start 17202.65909375
transcript.pyannote[2811].end 17210.21909375
transcript.pyannote[2812].speaker SPEAKER_06
transcript.pyannote[2812].start 17210.50596875
transcript.pyannote[2812].end 17230.68846875
transcript.pyannote[2813].speaker SPEAKER_12
transcript.pyannote[2813].start 17232.96659375
transcript.pyannote[2813].end 17233.03409375
transcript.pyannote[2814].speaker SPEAKER_12
transcript.pyannote[2814].start 17233.96221875
transcript.pyannote[2814].end 17234.02971875
transcript.pyannote[2815].speaker SPEAKER_12
transcript.pyannote[2815].start 17234.97471875
transcript.pyannote[2815].end 17235.02534375
transcript.pyannote[2816].speaker SPEAKER_12
transcript.pyannote[2816].start 17235.97034375
transcript.pyannote[2816].end 17236.03784375
transcript.pyannote[2817].speaker SPEAKER_18
transcript.pyannote[2817].start 17238.34971875
transcript.pyannote[2817].end 17240.57721875
transcript.pyannote[2818].speaker SPEAKER_38
transcript.pyannote[2818].start 17240.57721875
transcript.pyannote[2818].end 17240.67846875
transcript.pyannote[2819].speaker SPEAKER_38
transcript.pyannote[2819].start 17241.48846875
transcript.pyannote[2819].end 17272.11659375
transcript.pyannote[2820].speaker SPEAKER_18
transcript.pyannote[2820].start 17273.19659375
transcript.pyannote[2820].end 17273.23034375
transcript.pyannote[2821].speaker SPEAKER_17
transcript.pyannote[2821].start 17273.23034375
transcript.pyannote[2821].end 17273.44971875
transcript.pyannote[2822].speaker SPEAKER_18
transcript.pyannote[2822].start 17273.44971875
transcript.pyannote[2822].end 17273.60159375
transcript.pyannote[2823].speaker SPEAKER_17
transcript.pyannote[2823].start 17273.60159375
transcript.pyannote[2823].end 17273.61846875
transcript.pyannote[2824].speaker SPEAKER_18
transcript.pyannote[2824].start 17273.61846875
transcript.pyannote[2824].end 17273.68596875
transcript.pyannote[2825].speaker SPEAKER_18
transcript.pyannote[2825].start 17273.90534375
transcript.pyannote[2825].end 17273.93909375
transcript.pyannote[2826].speaker SPEAKER_17
transcript.pyannote[2826].start 17273.93909375
transcript.pyannote[2826].end 17273.97284375
transcript.pyannote[2827].speaker SPEAKER_18
transcript.pyannote[2827].start 17273.97284375
transcript.pyannote[2827].end 17274.37784375
transcript.pyannote[2828].speaker SPEAKER_18
transcript.pyannote[2828].start 17274.73221875
transcript.pyannote[2828].end 17274.76596875
transcript.pyannote[2829].speaker SPEAKER_17
transcript.pyannote[2829].start 17274.76596875
transcript.pyannote[2829].end 17274.78284375
transcript.pyannote[2830].speaker SPEAKER_18
transcript.pyannote[2830].start 17274.78284375
transcript.pyannote[2830].end 17275.03596875
transcript.pyannote[2831].speaker SPEAKER_17
transcript.pyannote[2831].start 17275.03596875
transcript.pyannote[2831].end 17275.39034375
transcript.pyannote[2832].speaker SPEAKER_18
transcript.pyannote[2832].start 17275.39034375
transcript.pyannote[2832].end 17275.44096875
transcript.pyannote[2833].speaker SPEAKER_17
transcript.pyannote[2833].start 17275.44096875
transcript.pyannote[2833].end 17275.50846875
transcript.pyannote[2834].speaker SPEAKER_17
transcript.pyannote[2834].start 17275.94721875
transcript.pyannote[2834].end 17287.55721875
transcript.pyannote[2835].speaker SPEAKER_38
transcript.pyannote[2835].start 17287.40534375
transcript.pyannote[2835].end 17297.05784375
transcript.pyannote[2836].speaker SPEAKER_38
transcript.pyannote[2836].start 17298.30659375
transcript.pyannote[2836].end 17299.82534375
transcript.pyannote[2837].speaker SPEAKER_38
transcript.pyannote[2837].start 17300.26409375
transcript.pyannote[2837].end 17301.41159375
transcript.pyannote[2838].speaker SPEAKER_38
transcript.pyannote[2838].start 17302.22159375
transcript.pyannote[2838].end 17309.86596875
transcript.pyannote[2839].speaker SPEAKER_17
transcript.pyannote[2839].start 17305.07346875
transcript.pyannote[2839].end 17305.91721875
transcript.pyannote[2840].speaker SPEAKER_17
transcript.pyannote[2840].start 17306.57534375
transcript.pyannote[2840].end 17307.35159375
transcript.pyannote[2841].speaker SPEAKER_17
transcript.pyannote[2841].start 17308.56659375
transcript.pyannote[2841].end 17311.62096875
transcript.pyannote[2842].speaker SPEAKER_17
transcript.pyannote[2842].start 17311.99221875
transcript.pyannote[2842].end 17312.04284375
transcript.pyannote[2843].speaker SPEAKER_25
transcript.pyannote[2843].start 17312.04284375
transcript.pyannote[2843].end 17312.16096875
transcript.pyannote[2844].speaker SPEAKER_17
transcript.pyannote[2844].start 17312.16096875
transcript.pyannote[2844].end 17313.32534375
transcript.pyannote[2845].speaker SPEAKER_25
transcript.pyannote[2845].start 17313.07221875
transcript.pyannote[2845].end 17315.97471875
transcript.pyannote[2846].speaker SPEAKER_17
transcript.pyannote[2846].start 17316.27846875
transcript.pyannote[2846].end 17316.31221875
transcript.pyannote[2847].speaker SPEAKER_38
transcript.pyannote[2847].start 17316.31221875
transcript.pyannote[2847].end 17324.68221875
transcript.pyannote[2848].speaker SPEAKER_25
transcript.pyannote[2848].start 17318.42159375
transcript.pyannote[2848].end 17318.79284375
transcript.pyannote[2849].speaker SPEAKER_17
transcript.pyannote[2849].start 17323.95659375
transcript.pyannote[2849].end 17324.54721875
transcript.pyannote[2850].speaker SPEAKER_17
transcript.pyannote[2850].start 17324.68221875
transcript.pyannote[2850].end 17324.83409375
transcript.pyannote[2851].speaker SPEAKER_38
transcript.pyannote[2851].start 17324.83409375
transcript.pyannote[2851].end 17324.96909375
transcript.pyannote[2852].speaker SPEAKER_17
transcript.pyannote[2852].start 17324.96909375
transcript.pyannote[2852].end 17325.03659375
transcript.pyannote[2853].speaker SPEAKER_38
transcript.pyannote[2853].start 17325.03659375
transcript.pyannote[2853].end 17325.10409375
transcript.pyannote[2854].speaker SPEAKER_17
transcript.pyannote[2854].start 17325.10409375
transcript.pyannote[2854].end 17337.64221875
transcript.pyannote[2855].speaker SPEAKER_38
transcript.pyannote[2855].start 17325.66096875
transcript.pyannote[2855].end 17326.03221875
transcript.pyannote[2856].speaker SPEAKER_18
transcript.pyannote[2856].start 17326.03221875
transcript.pyannote[2856].end 17327.24721875
transcript.pyannote[2857].speaker SPEAKER_25
transcript.pyannote[2857].start 17337.65909375
transcript.pyannote[2857].end 17341.52346875
transcript.pyannote[2858].speaker SPEAKER_17
transcript.pyannote[2858].start 17341.08471875
transcript.pyannote[2858].end 17349.53909375
transcript.pyannote[2859].speaker SPEAKER_17
transcript.pyannote[2859].start 17350.38284375
transcript.pyannote[2859].end 17350.56846875
transcript.pyannote[2860].speaker SPEAKER_17
transcript.pyannote[2860].start 17351.09159375
transcript.pyannote[2860].end 17352.23909375
transcript.pyannote[2861].speaker SPEAKER_17
transcript.pyannote[2861].start 17352.72846875
transcript.pyannote[2861].end 17352.77909375
transcript.pyannote[2862].speaker SPEAKER_12
transcript.pyannote[2862].start 17352.77909375
transcript.pyannote[2862].end 17354.02784375
transcript.pyannote[2863].speaker SPEAKER_12
transcript.pyannote[2863].start 17354.97284375
transcript.pyannote[2863].end 17359.41096875
transcript.pyannote[2864].speaker SPEAKER_06
transcript.pyannote[2864].start 17362.33034375
transcript.pyannote[2864].end 17373.07971875
transcript.pyannote[2865].speaker SPEAKER_12
transcript.pyannote[2865].start 17372.03346875
transcript.pyannote[2865].end 17372.06721875
transcript.pyannote[2866].speaker SPEAKER_24
transcript.pyannote[2866].start 17372.06721875
transcript.pyannote[2866].end 17373.02909375
transcript.pyannote[2867].speaker SPEAKER_06
transcript.pyannote[2867].start 17373.38346875
transcript.pyannote[2867].end 17373.63659375
transcript.pyannote[2868].speaker SPEAKER_06
transcript.pyannote[2868].start 17374.07534375
transcript.pyannote[2868].end 17378.85096875
transcript.pyannote[2869].speaker SPEAKER_12
transcript.pyannote[2869].start 17378.85096875
transcript.pyannote[2869].end 17379.66096875
transcript.pyannote[2870].speaker SPEAKER_06
transcript.pyannote[2870].start 17379.47534375
transcript.pyannote[2870].end 17382.59721875
transcript.pyannote[2871].speaker SPEAKER_12
transcript.pyannote[2871].start 17382.04034375
transcript.pyannote[2871].end 17383.10346875
transcript.pyannote[2872].speaker SPEAKER_06
transcript.pyannote[2872].start 17383.81221875
transcript.pyannote[2872].end 17384.97659375
transcript.pyannote[2873].speaker SPEAKER_18
transcript.pyannote[2873].start 17384.97659375
transcript.pyannote[2873].end 17385.11159375
transcript.pyannote[2874].speaker SPEAKER_34
transcript.pyannote[2874].start 17387.49096875
transcript.pyannote[2874].end 17391.72659375
transcript.pyannote[2875].speaker SPEAKER_18
transcript.pyannote[2875].start 17390.24159375
transcript.pyannote[2875].end 17390.30909375
transcript.pyannote[2876].speaker SPEAKER_12
transcript.pyannote[2876].start 17390.30909375
transcript.pyannote[2876].end 17391.70971875
transcript.pyannote[2877].speaker SPEAKER_12
transcript.pyannote[2877].start 17391.72659375
transcript.pyannote[2877].end 17392.62096875
transcript.pyannote[2878].speaker SPEAKER_12
transcript.pyannote[2878].start 17393.44784375
transcript.pyannote[2878].end 17394.02159375
transcript.pyannote[2879].speaker SPEAKER_34
transcript.pyannote[2879].start 17394.00471875
transcript.pyannote[2879].end 17402.84721875
transcript.pyannote[2880].speaker SPEAKER_06
transcript.pyannote[2880].start 17399.16846875
transcript.pyannote[2880].end 17399.50596875
transcript.pyannote[2881].speaker SPEAKER_06
transcript.pyannote[2881].start 17401.83471875
transcript.pyannote[2881].end 17410.39034375
transcript.pyannote[2882].speaker SPEAKER_18
transcript.pyannote[2882].start 17411.52096875
transcript.pyannote[2882].end 17412.38159375
transcript.pyannote[2883].speaker SPEAKER_18
transcript.pyannote[2883].start 17413.12409375
transcript.pyannote[2883].end 17419.16534375
transcript.pyannote[2884].speaker SPEAKER_18
transcript.pyannote[2884].start 17419.62096875
transcript.pyannote[2884].end 17423.18159375
transcript.pyannote[2885].speaker SPEAKER_18
transcript.pyannote[2885].start 17423.36721875
transcript.pyannote[2885].end 17433.05346875
transcript.pyannote[2886].speaker SPEAKER_18
transcript.pyannote[2886].start 17433.39096875
transcript.pyannote[2886].end 17435.56784375
transcript.pyannote[2887].speaker SPEAKER_18
transcript.pyannote[2887].start 17436.25971875
transcript.pyannote[2887].end 17438.14971875
transcript.pyannote[2888].speaker SPEAKER_24
transcript.pyannote[2888].start 17440.30971875
transcript.pyannote[2888].end 17441.22096875
transcript.pyannote[2889].speaker SPEAKER_18
transcript.pyannote[2889].start 17441.37284375
transcript.pyannote[2889].end 17443.02659375
transcript.pyannote[2890].speaker SPEAKER_24
transcript.pyannote[2890].start 17442.38534375
transcript.pyannote[2890].end 17442.57096875
transcript.pyannote[2891].speaker SPEAKER_24
transcript.pyannote[2891].start 17442.63846875
transcript.pyannote[2891].end 17443.66784375
transcript.pyannote[2892].speaker SPEAKER_24
transcript.pyannote[2892].start 17443.95471875
transcript.pyannote[2892].end 17444.71409375
transcript.pyannote[2893].speaker SPEAKER_24
transcript.pyannote[2893].start 17444.74784375
transcript.pyannote[2893].end 17444.78159375
transcript.pyannote[2894].speaker SPEAKER_24
transcript.pyannote[2894].start 17444.79846875
transcript.pyannote[2894].end 17445.65909375
transcript.pyannote[2895].speaker SPEAKER_18
transcript.pyannote[2895].start 17446.65471875
transcript.pyannote[2895].end 17447.98784375
transcript.pyannote[2896].speaker SPEAKER_18
transcript.pyannote[2896].start 17450.73846875
transcript.pyannote[2896].end 17456.83034375
transcript.pyannote[2897].speaker SPEAKER_18
transcript.pyannote[2897].start 17458.16346875
transcript.pyannote[2897].end 17466.55034375
transcript.pyannote[2898].speaker SPEAKER_18
transcript.pyannote[2898].start 17467.44471875
transcript.pyannote[2898].end 17470.19534375
transcript.pyannote[2899].speaker SPEAKER_18
transcript.pyannote[2899].start 17470.24596875
transcript.pyannote[2899].end 17474.76846875
transcript.pyannote[2900].speaker SPEAKER_23
transcript.pyannote[2900].start 17483.96534375
transcript.pyannote[2900].end 17484.03284375
transcript.pyannote[2901].speaker SPEAKER_18
transcript.pyannote[2901].start 17487.30659375
transcript.pyannote[2901].end 17520.28034375
transcript.pyannote[2902].speaker SPEAKER_18
transcript.pyannote[2902].start 17520.53346875
transcript.pyannote[2902].end 17523.30096875
transcript.pyannote[2903].speaker SPEAKER_18
transcript.pyannote[2903].start 17524.19534375
transcript.pyannote[2903].end 17525.56221875
transcript.pyannote[2904].speaker SPEAKER_18
transcript.pyannote[2904].start 17525.81534375
transcript.pyannote[2904].end 17527.14846875
transcript.pyannote[2905].speaker SPEAKER_18
transcript.pyannote[2905].start 17527.82346875
transcript.pyannote[2905].end 17529.25784375
transcript.pyannote[2906].speaker SPEAKER_18
transcript.pyannote[2906].start 17530.69221875
transcript.pyannote[2906].end 17535.48471875
transcript.pyannote[2907].speaker SPEAKER_24
transcript.pyannote[2907].start 17535.48471875
transcript.pyannote[2907].end 17535.50159375
transcript.pyannote[2908].speaker SPEAKER_18
transcript.pyannote[2908].start 17536.31159375
transcript.pyannote[2908].end 17542.26846875
transcript.pyannote[2909].speaker SPEAKER_18
transcript.pyannote[2909].start 17543.16284375
transcript.pyannote[2909].end 17544.74909375
transcript.pyannote[2910].speaker SPEAKER_08
transcript.pyannote[2910].start 17549.28846875
transcript.pyannote[2910].end 17552.05596875
transcript.pyannote[2911].speaker SPEAKER_07
transcript.pyannote[2911].start 17564.91471875
transcript.pyannote[2911].end 17564.94846875
transcript.pyannote[2912].speaker SPEAKER_38
transcript.pyannote[2912].start 17564.94846875
transcript.pyannote[2912].end 17566.39971875
transcript.pyannote[2913].speaker SPEAKER_40
transcript.pyannote[2913].start 17571.29346875
transcript.pyannote[2913].end 17572.05284375
transcript.pyannote[2914].speaker SPEAKER_40
transcript.pyannote[2914].start 17572.67721875
transcript.pyannote[2914].end 17573.89221875
transcript.pyannote[2915].speaker SPEAKER_40
transcript.pyannote[2915].start 17574.29721875
transcript.pyannote[2915].end 17574.49971875
transcript.pyannote[2916].speaker SPEAKER_40
transcript.pyannote[2916].start 17574.53346875
transcript.pyannote[2916].end 17574.55034375
transcript.pyannote[2917].speaker SPEAKER_40
transcript.pyannote[2917].start 17574.61784375
transcript.pyannote[2917].end 17576.55846875
transcript.pyannote[2918].speaker SPEAKER_40
transcript.pyannote[2918].start 17577.01409375
transcript.pyannote[2918].end 17579.42721875
transcript.pyannote[2919].speaker SPEAKER_40
transcript.pyannote[2919].start 17579.78159375
transcript.pyannote[2919].end 17579.83221875
transcript.pyannote[2920].speaker SPEAKER_12
transcript.pyannote[2920].start 17579.83221875
transcript.pyannote[2920].end 17579.88284375
transcript.pyannote[2921].speaker SPEAKER_12
transcript.pyannote[2921].start 17580.03471875
transcript.pyannote[2921].end 17580.06846875
transcript.pyannote[2922].speaker SPEAKER_18
transcript.pyannote[2922].start 17580.94596875
transcript.pyannote[2922].end 17602.02284375
transcript.pyannote[2923].speaker SPEAKER_25
transcript.pyannote[2923].start 17591.57721875
transcript.pyannote[2923].end 17592.82596875
transcript.pyannote[2924].speaker SPEAKER_25
transcript.pyannote[2924].start 17598.90096875
transcript.pyannote[2924].end 17599.74471875
transcript.pyannote[2925].speaker SPEAKER_40
transcript.pyannote[2925].start 17600.16659375
transcript.pyannote[2925].end 17600.92596875
transcript.pyannote[2926].speaker SPEAKER_40
transcript.pyannote[2926].start 17601.02721875
transcript.pyannote[2926].end 17601.04409375
transcript.pyannote[2927].speaker SPEAKER_40
transcript.pyannote[2927].start 17602.02284375
transcript.pyannote[2927].end 17623.97721875
transcript.pyannote[2928].speaker SPEAKER_18
transcript.pyannote[2928].start 17603.99721875
transcript.pyannote[2928].end 17604.85784375
transcript.pyannote[2929].speaker SPEAKER_18
transcript.pyannote[2929].start 17623.97721875
transcript.pyannote[2929].end 17624.58471875
transcript.pyannote[2930].speaker SPEAKER_40
transcript.pyannote[2930].start 17624.58471875
transcript.pyannote[2930].end 17625.64784375
transcript.pyannote[2931].speaker SPEAKER_18
transcript.pyannote[2931].start 17625.02346875
transcript.pyannote[2931].end 17636.76846875
transcript.pyannote[2932].speaker SPEAKER_40
transcript.pyannote[2932].start 17636.76846875
transcript.pyannote[2932].end 17639.29971875
transcript.pyannote[2933].speaker SPEAKER_40
transcript.pyannote[2933].start 17640.36284375
transcript.pyannote[2933].end 17642.64096875
transcript.pyannote[2934].speaker SPEAKER_40
transcript.pyannote[2934].start 17643.33284375
transcript.pyannote[2934].end 17643.53534375
transcript.pyannote[2935].speaker SPEAKER_21
transcript.pyannote[2935].start 17674.95659375
transcript.pyannote[2935].end 17675.39534375
transcript.pyannote[2936].speaker SPEAKER_12
transcript.pyannote[2936].start 17679.37784375
transcript.pyannote[2936].end 17679.42846875
transcript.pyannote[2937].speaker SPEAKER_22
transcript.pyannote[2937].start 17700.01596875
transcript.pyannote[2937].end 17700.08346875
transcript.pyannote[2938].speaker SPEAKER_22
transcript.pyannote[2938].start 17700.13409375
transcript.pyannote[2938].end 17705.02784375
transcript.pyannote[2939].speaker SPEAKER_22
transcript.pyannote[2939].start 17705.17971875
transcript.pyannote[2939].end 17705.21346875
transcript.pyannote[2940].speaker SPEAKER_22
transcript.pyannote[2940].start 17705.28096875
transcript.pyannote[2940].end 17705.31471875
transcript.pyannote[2941].speaker SPEAKER_22
transcript.pyannote[2941].start 17705.41596875
transcript.pyannote[2941].end 17705.58471875
transcript.pyannote[2942].speaker SPEAKER_22
transcript.pyannote[2942].start 17705.73659375
transcript.pyannote[2942].end 17705.75346875
transcript.pyannote[2943].speaker SPEAKER_22
transcript.pyannote[2943].start 17705.77034375
transcript.pyannote[2943].end 17705.85471875
transcript.pyannote[2944].speaker SPEAKER_12
transcript.pyannote[2944].start 17711.37284375
transcript.pyannote[2944].end 17711.38971875
transcript.pyannote[2945].speaker SPEAKER_22
transcript.pyannote[2945].start 17733.81659375
transcript.pyannote[2945].end 17733.93471875
transcript.pyannote[2946].speaker SPEAKER_02
transcript.pyannote[2946].start 17733.93471875
transcript.pyannote[2946].end 17734.03596875
transcript.pyannote[2947].speaker SPEAKER_40
transcript.pyannote[2947].start 17734.03596875
transcript.pyannote[2947].end 17734.55909375
transcript.pyannote[2948].speaker SPEAKER_02
transcript.pyannote[2948].start 17734.40721875
transcript.pyannote[2948].end 17734.50846875
transcript.pyannote[2949].speaker SPEAKER_02
transcript.pyannote[2949].start 17734.55909375
transcript.pyannote[2949].end 17734.57596875
transcript.pyannote[2950].speaker SPEAKER_40
transcript.pyannote[2950].start 17734.57596875
transcript.pyannote[2950].end 17734.86284375
transcript.pyannote[2951].speaker SPEAKER_40
transcript.pyannote[2951].start 17735.31846875
transcript.pyannote[2951].end 17736.68534375
transcript.pyannote[2952].speaker SPEAKER_02
transcript.pyannote[2952].start 17735.89221875
transcript.pyannote[2952].end 17736.85409375
transcript.pyannote[2953].speaker SPEAKER_39
transcript.pyannote[2953].start 17736.85409375
transcript.pyannote[2953].end 17737.02284375
transcript.pyannote[2954].speaker SPEAKER_02
transcript.pyannote[2954].start 17737.42784375
transcript.pyannote[2954].end 17737.57971875
transcript.pyannote[2955].speaker SPEAKER_39
transcript.pyannote[2955].start 17737.57971875
transcript.pyannote[2955].end 17741.86596875
transcript.pyannote[2956].speaker SPEAKER_39
transcript.pyannote[2956].start 17742.13596875
transcript.pyannote[2956].end 17743.99221875
transcript.pyannote[2957].speaker SPEAKER_39
transcript.pyannote[2957].start 17744.44784375
transcript.pyannote[2957].end 17745.03846875
transcript.pyannote[2958].speaker SPEAKER_39
transcript.pyannote[2958].start 17745.88221875
transcript.pyannote[2958].end 17746.28721875
transcript.pyannote[2959].speaker SPEAKER_22
transcript.pyannote[2959].start 17755.24784375
transcript.pyannote[2959].end 17755.93971875
transcript.pyannote[2960].speaker SPEAKER_22
transcript.pyannote[2960].start 17755.97346875
transcript.pyannote[2960].end 17756.02409375
transcript.pyannote[2961].speaker SPEAKER_22
transcript.pyannote[2961].start 17756.31096875
transcript.pyannote[2961].end 17758.08284375
transcript.pyannote[2962].speaker SPEAKER_22
transcript.pyannote[2962].start 17759.97284375
transcript.pyannote[2962].end 17764.10721875
transcript.pyannote[2963].speaker SPEAKER_22
transcript.pyannote[2963].start 17764.27596875
transcript.pyannote[2963].end 17765.03534375
transcript.pyannote[2964].speaker SPEAKER_17
transcript.pyannote[2964].start 17765.03534375
transcript.pyannote[2964].end 17765.47409375
transcript.pyannote[2965].speaker SPEAKER_22
transcript.pyannote[2965].start 17765.47409375
transcript.pyannote[2965].end 17765.59221875
transcript.pyannote[2966].speaker SPEAKER_22
transcript.pyannote[2966].start 17766.53721875
transcript.pyannote[2966].end 17766.55409375
transcript.pyannote[2967].speaker SPEAKER_17
transcript.pyannote[2967].start 17766.55409375
transcript.pyannote[2967].end 17770.63784375
transcript.pyannote[2968].speaker SPEAKER_04
transcript.pyannote[2968].start 17782.97346875
transcript.pyannote[2968].end 17786.17971875
transcript.pyannote[2969].speaker SPEAKER_02
transcript.pyannote[2969].start 17860.34534375
transcript.pyannote[2969].end 17864.58096875
transcript.pyannote[2970].speaker SPEAKER_02
transcript.pyannote[2970].start 17866.70721875
transcript.pyannote[2970].end 17867.02784375
transcript.pyannote[2971].speaker SPEAKER_03
transcript.pyannote[2971].start 17874.90846875
transcript.pyannote[2971].end 17875.92096875
transcript.pyannote[2972].speaker SPEAKER_03
transcript.pyannote[2972].start 17875.97159375
transcript.pyannote[2972].end 17877.20346875
transcript.pyannote[2973].speaker SPEAKER_03
transcript.pyannote[2973].start 17877.27096875
transcript.pyannote[2973].end 17877.28784375
transcript.pyannote[2974].speaker SPEAKER_03
transcript.pyannote[2974].start 17877.30471875
transcript.pyannote[2974].end 17877.35534375
transcript.pyannote[2975].speaker SPEAKER_18
transcript.pyannote[2975].start 17885.28659375
transcript.pyannote[2975].end 17892.39096875
transcript.pyannote[2976].speaker SPEAKER_18
transcript.pyannote[2976].start 17892.81284375
transcript.pyannote[2976].end 17893.38659375
transcript.pyannote[2977].speaker SPEAKER_18
transcript.pyannote[2977].start 17893.62284375
transcript.pyannote[2977].end 17895.27659375
transcript.pyannote[2978].speaker SPEAKER_18
transcript.pyannote[2978].start 17896.64346875
transcript.pyannote[2978].end 17898.11159375
transcript.pyannote[2979].speaker SPEAKER_18
transcript.pyannote[2979].start 17898.53346875
transcript.pyannote[2979].end 17901.45284375
transcript.pyannote[2980].speaker SPEAKER_18
transcript.pyannote[2980].start 17901.97596875
transcript.pyannote[2980].end 17902.44846875
transcript.pyannote[2981].speaker SPEAKER_18
transcript.pyannote[2981].start 17903.24159375
transcript.pyannote[2981].end 17905.45221875
transcript.pyannote[2982].speaker SPEAKER_18
transcript.pyannote[2982].start 17908.35471875
transcript.pyannote[2982].end 17908.94534375
transcript.pyannote[2983].speaker SPEAKER_18
transcript.pyannote[2983].start 17908.96221875
transcript.pyannote[2983].end 17909.02971875
transcript.pyannote[2984].speaker SPEAKER_18
transcript.pyannote[2984].start 17909.11409375
transcript.pyannote[2984].end 17915.56034375
transcript.pyannote[2985].speaker SPEAKER_15
transcript.pyannote[2985].start 17915.05409375
transcript.pyannote[2985].end 17915.47596875
transcript.pyannote[2986].speaker SPEAKER_15
transcript.pyannote[2986].start 17916.74159375
transcript.pyannote[2986].end 17917.48409375
transcript.pyannote[2987].speaker SPEAKER_18
transcript.pyannote[2987].start 17916.91034375
transcript.pyannote[2987].end 17918.02409375
transcript.pyannote[2988].speaker SPEAKER_17
transcript.pyannote[2988].start 17917.48409375
transcript.pyannote[2988].end 17917.73721875
transcript.pyannote[2989].speaker SPEAKER_17
transcript.pyannote[2989].start 17918.02409375
transcript.pyannote[2989].end 17919.71159375
transcript.pyannote[2990].speaker SPEAKER_17
transcript.pyannote[2990].start 17920.25159375
transcript.pyannote[2990].end 17931.70971875
transcript.pyannote[2991].speaker SPEAKER_17
transcript.pyannote[2991].start 17932.23284375
transcript.pyannote[2991].end 17939.23596875
transcript.pyannote[2992].speaker SPEAKER_17
transcript.pyannote[2992].start 17939.33721875
transcript.pyannote[2992].end 17940.50159375
transcript.pyannote[2993].speaker SPEAKER_17
transcript.pyannote[2993].start 17941.61534375
transcript.pyannote[2993].end 17946.44159375
transcript.pyannote[2994].speaker SPEAKER_17
transcript.pyannote[2994].start 17947.03221875
transcript.pyannote[2994].end 17951.38596875
transcript.pyannote[2995].speaker SPEAKER_17
transcript.pyannote[2995].start 17951.95971875
transcript.pyannote[2995].end 17961.35909375
transcript.pyannote[2996].speaker SPEAKER_17
transcript.pyannote[2996].start 17962.10159375
transcript.pyannote[2996].end 17973.37409375
transcript.pyannote[2997].speaker SPEAKER_17
transcript.pyannote[2997].start 17973.52596875
transcript.pyannote[2997].end 17976.96846875
transcript.pyannote[2998].speaker SPEAKER_17
transcript.pyannote[2998].start 17977.55909375
transcript.pyannote[2998].end 17980.90034375
transcript.pyannote[2999].speaker SPEAKER_17
transcript.pyannote[2999].start 17981.18721875
transcript.pyannote[2999].end 18002.31471875
transcript.pyannote[3000].speaker SPEAKER_17
transcript.pyannote[3000].start 18002.82096875
transcript.pyannote[3000].end 18003.41159375
transcript.pyannote[3001].speaker SPEAKER_17
transcript.pyannote[3001].start 18004.12034375
transcript.pyannote[3001].end 18009.11534375
transcript.pyannote[3002].speaker SPEAKER_17
transcript.pyannote[3002].start 18009.72284375
transcript.pyannote[3002].end 18010.90409375
transcript.pyannote[3003].speaker SPEAKER_17
transcript.pyannote[3003].start 18011.73096875
transcript.pyannote[3003].end 18014.88659375
transcript.pyannote[3004].speaker SPEAKER_17
transcript.pyannote[3004].start 18015.35909375
transcript.pyannote[3004].end 18017.55284375
transcript.pyannote[3005].speaker SPEAKER_17
transcript.pyannote[3005].start 18018.27846875
transcript.pyannote[3005].end 18019.40909375
transcript.pyannote[3006].speaker SPEAKER_17
transcript.pyannote[3006].start 18019.96596875
transcript.pyannote[3006].end 18025.99034375
transcript.pyannote[3007].speaker SPEAKER_17
transcript.pyannote[3007].start 18026.19284375
transcript.pyannote[3007].end 18037.39784375
transcript.pyannote[3008].speaker SPEAKER_17
transcript.pyannote[3008].start 18037.97159375
transcript.pyannote[3008].end 18045.29534375
transcript.pyannote[3009].speaker SPEAKER_17
transcript.pyannote[3009].start 18045.70034375
transcript.pyannote[3009].end 18053.09159375
transcript.pyannote[3010].speaker SPEAKER_17
transcript.pyannote[3010].start 18053.59784375
transcript.pyannote[3010].end 18056.90534375
transcript.pyannote[3011].speaker SPEAKER_17
transcript.pyannote[3011].start 18057.20909375
transcript.pyannote[3011].end 18071.04659375
transcript.pyannote[3012].speaker SPEAKER_17
transcript.pyannote[3012].start 18071.50221875
transcript.pyannote[3012].end 18072.43034375
transcript.pyannote[3013].speaker SPEAKER_17
transcript.pyannote[3013].start 18073.29096875
transcript.pyannote[3013].end 18112.66034375
transcript.pyannote[3014].speaker SPEAKER_17
transcript.pyannote[3014].start 18112.82909375
transcript.pyannote[3014].end 18113.35221875
transcript.pyannote[3015].speaker SPEAKER_17
transcript.pyannote[3015].start 18113.80784375
transcript.pyannote[3015].end 18114.71909375
transcript.pyannote[3016].speaker SPEAKER_17
transcript.pyannote[3016].start 18115.12409375
transcript.pyannote[3016].end 18118.97159375
transcript.pyannote[3017].speaker SPEAKER_18
transcript.pyannote[3017].start 18120.62534375
transcript.pyannote[3017].end 18121.65471875
transcript.pyannote[3018].speaker SPEAKER_18
transcript.pyannote[3018].start 18121.97534375
transcript.pyannote[3018].end 18125.28284375
transcript.pyannote[3019].speaker SPEAKER_18
transcript.pyannote[3019].start 18125.83971875
transcript.pyannote[3019].end 18131.56034375
transcript.pyannote[3020].speaker SPEAKER_18
transcript.pyannote[3020].start 18131.71221875
transcript.pyannote[3020].end 18153.88596875
transcript.pyannote[3021].speaker SPEAKER_08
transcript.pyannote[3021].start 18133.53471875
transcript.pyannote[3021].end 18134.81721875
transcript.pyannote[3022].speaker SPEAKER_25
transcript.pyannote[3022].start 18153.88596875
transcript.pyannote[3022].end 18153.95346875
transcript.pyannote[3023].speaker SPEAKER_18
transcript.pyannote[3023].start 18154.24034375
transcript.pyannote[3023].end 18160.06221875
transcript.pyannote[3024].speaker SPEAKER_18
transcript.pyannote[3024].start 18160.48409375
transcript.pyannote[3024].end 18203.29596875
transcript.pyannote[3025].speaker SPEAKER_18
transcript.pyannote[3025].start 18205.42221875
transcript.pyannote[3025].end 18207.07596875
transcript.pyannote[3026].speaker SPEAKER_18
transcript.pyannote[3026].start 18207.81846875
transcript.pyannote[3026].end 18210.95721875
transcript.pyannote[3027].speaker SPEAKER_17
transcript.pyannote[3027].start 18210.73784375
transcript.pyannote[3027].end 18210.94034375
transcript.pyannote[3028].speaker SPEAKER_17
transcript.pyannote[3028].start 18210.95721875
transcript.pyannote[3028].end 18214.21409375
transcript.pyannote[3029].speaker SPEAKER_17
transcript.pyannote[3029].start 18214.63596875
transcript.pyannote[3029].end 18214.82159375
transcript.pyannote[3030].speaker SPEAKER_17
transcript.pyannote[3030].start 18215.64846875
transcript.pyannote[3030].end 18215.71596875
transcript.pyannote[3031].speaker SPEAKER_17
transcript.pyannote[3031].start 18215.96909375
transcript.pyannote[3031].end 18216.03659375
transcript.pyannote[3032].speaker SPEAKER_18
transcript.pyannote[3032].start 18217.57221875
transcript.pyannote[3032].end 18219.88409375
transcript.pyannote[3033].speaker SPEAKER_17
transcript.pyannote[3033].start 18221.43659375
transcript.pyannote[3033].end 18230.27909375
transcript.pyannote[3034].speaker SPEAKER_17
transcript.pyannote[3034].start 18230.78534375
transcript.pyannote[3034].end 18240.74159375
transcript.pyannote[3035].speaker SPEAKER_17
transcript.pyannote[3035].start 18240.96096875
transcript.pyannote[3035].end 18251.22096875
transcript.pyannote[3036].speaker SPEAKER_17
transcript.pyannote[3036].start 18251.45721875
transcript.pyannote[3036].end 18251.91284375
transcript.pyannote[3037].speaker SPEAKER_17
transcript.pyannote[3037].start 18252.40221875
transcript.pyannote[3037].end 18255.64221875
transcript.pyannote[3038].speaker SPEAKER_15
transcript.pyannote[3038].start 18254.88284375
transcript.pyannote[3038].end 18255.62534375
transcript.pyannote[3039].speaker SPEAKER_15
transcript.pyannote[3039].start 18255.64221875
transcript.pyannote[3039].end 18255.89534375
transcript.pyannote[3040].speaker SPEAKER_12
transcript.pyannote[3040].start 18255.96284375
transcript.pyannote[3040].end 18256.84034375
transcript.pyannote[3041].speaker SPEAKER_12
transcript.pyannote[3041].start 18257.65034375
transcript.pyannote[3041].end 18260.65409375
transcript.pyannote[3042].speaker SPEAKER_12
transcript.pyannote[3042].start 18260.80596875
transcript.pyannote[3042].end 18263.86034375
transcript.pyannote[3043].speaker SPEAKER_12
transcript.pyannote[3043].start 18264.33284375
transcript.pyannote[3043].end 18266.47596875
transcript.pyannote[3044].speaker SPEAKER_12
transcript.pyannote[3044].start 18267.10034375
transcript.pyannote[3044].end 18269.78346875
transcript.pyannote[3045].speaker SPEAKER_12
transcript.pyannote[3045].start 18269.96909375
transcript.pyannote[3045].end 18282.94596875
transcript.pyannote[3046].speaker SPEAKER_00
transcript.pyannote[3046].start 18274.17096875
transcript.pyannote[3046].end 18274.47471875
transcript.pyannote[3047].speaker SPEAKER_24
transcript.pyannote[3047].start 18274.47471875
transcript.pyannote[3047].end 18274.49159375
transcript.pyannote[3048].speaker SPEAKER_00
transcript.pyannote[3048].start 18274.49159375
transcript.pyannote[3048].end 18274.52534375
transcript.pyannote[3049].speaker SPEAKER_12
transcript.pyannote[3049].start 18283.63784375
transcript.pyannote[3049].end 18284.98784375
transcript.pyannote[3050].speaker SPEAKER_12
transcript.pyannote[3050].start 18286.70909375
transcript.pyannote[3050].end 18289.25721875
transcript.pyannote[3051].speaker SPEAKER_12
transcript.pyannote[3051].start 18291.11346875
transcript.pyannote[3051].end 18292.93596875
transcript.pyannote[3052].speaker SPEAKER_18
transcript.pyannote[3052].start 18293.00346875
transcript.pyannote[3052].end 18293.34096875
transcript.pyannote[3053].speaker SPEAKER_18
transcript.pyannote[3053].start 18295.24784375
transcript.pyannote[3053].end 18298.94346875
transcript.pyannote[3054].speaker SPEAKER_18
transcript.pyannote[3054].start 18299.21346875
transcript.pyannote[3054].end 18303.07784375
transcript.pyannote[3055].speaker SPEAKER_18
transcript.pyannote[3055].start 18303.12846875
transcript.pyannote[3055].end 18304.07346875
transcript.pyannote[3056].speaker SPEAKER_18
transcript.pyannote[3056].start 18304.36034375
transcript.pyannote[3056].end 18322.21409375
transcript.pyannote[3057].speaker SPEAKER_18
transcript.pyannote[3057].start 18322.51784375
transcript.pyannote[3057].end 18324.03659375
transcript.pyannote[3058].speaker SPEAKER_18
transcript.pyannote[3058].start 18324.57659375
transcript.pyannote[3058].end 18325.84221875
transcript.pyannote[3059].speaker SPEAKER_18
transcript.pyannote[3059].start 18326.48346875
transcript.pyannote[3059].end 18327.20909375
transcript.pyannote[3060].speaker SPEAKER_18
transcript.pyannote[3060].start 18328.40721875
transcript.pyannote[3060].end 18329.38596875
transcript.pyannote[3061].speaker SPEAKER_18
transcript.pyannote[3061].start 18329.89221875
transcript.pyannote[3061].end 18331.74846875
transcript.pyannote[3062].speaker SPEAKER_18
transcript.pyannote[3062].start 18332.17034375
transcript.pyannote[3062].end 18334.38096875
transcript.pyannote[3063].speaker SPEAKER_18
transcript.pyannote[3063].start 18334.97159375
transcript.pyannote[3063].end 18337.16534375
transcript.pyannote[3064].speaker SPEAKER_18
transcript.pyannote[3064].start 18338.75159375
transcript.pyannote[3064].end 18339.47721875
transcript.pyannote[3065].speaker SPEAKER_18
transcript.pyannote[3065].start 18339.57846875
transcript.pyannote[3065].end 18340.25346875
transcript.pyannote[3066].speaker SPEAKER_18
transcript.pyannote[3066].start 18340.60784375
transcript.pyannote[3066].end 18341.55284375
transcript.pyannote[3067].speaker SPEAKER_18
transcript.pyannote[3067].start 18341.58659375
transcript.pyannote[3067].end 18341.60346875
transcript.pyannote[3068].speaker SPEAKER_17
transcript.pyannote[3068].start 18341.60346875
transcript.pyannote[3068].end 18361.24596875
transcript.pyannote[3069].speaker SPEAKER_08
transcript.pyannote[3069].start 18361.53284375
transcript.pyannote[3069].end 18362.47784375
transcript.pyannote[3070].speaker SPEAKER_18
transcript.pyannote[3070].start 18362.47784375
transcript.pyannote[3070].end 18362.52846875
transcript.pyannote[3071].speaker SPEAKER_17
transcript.pyannote[3071].start 18364.28346875
transcript.pyannote[3071].end 18364.30034375
transcript.pyannote[3072].speaker SPEAKER_18
transcript.pyannote[3072].start 18364.30034375
transcript.pyannote[3072].end 18365.02596875
transcript.pyannote[3073].speaker SPEAKER_18
transcript.pyannote[3073].start 18366.37596875
transcript.pyannote[3073].end 18367.20284375
transcript.pyannote[3074].speaker SPEAKER_18
transcript.pyannote[3074].start 18368.16471875
transcript.pyannote[3074].end 18370.07159375
transcript.pyannote[3075].speaker SPEAKER_18
transcript.pyannote[3075].start 18370.83096875
transcript.pyannote[3075].end 18373.90221875
transcript.pyannote[3076].speaker SPEAKER_18
transcript.pyannote[3076].start 18374.57721875
transcript.pyannote[3076].end 18375.99471875
transcript.pyannote[3077].speaker SPEAKER_18
transcript.pyannote[3077].start 18378.22221875
transcript.pyannote[3077].end 18381.56346875
transcript.pyannote[3078].speaker SPEAKER_18
transcript.pyannote[3078].start 18382.39034375
transcript.pyannote[3078].end 18385.91721875
transcript.pyannote[3079].speaker SPEAKER_18
transcript.pyannote[3079].start 18386.67659375
transcript.pyannote[3079].end 18394.96221875
transcript.pyannote[3080].speaker SPEAKER_03
transcript.pyannote[3080].start 18394.96221875
transcript.pyannote[3080].end 18395.04659375
transcript.pyannote[3081].speaker SPEAKER_18
transcript.pyannote[3081].start 18395.04659375
transcript.pyannote[3081].end 18397.62846875
transcript.pyannote[3082].speaker SPEAKER_03
transcript.pyannote[3082].start 18395.08034375
transcript.pyannote[3082].end 18395.14784375
transcript.pyannote[3083].speaker SPEAKER_18
transcript.pyannote[3083].start 18398.38784375
transcript.pyannote[3083].end 18412.15784375
transcript.pyannote[3084].speaker SPEAKER_25
transcript.pyannote[3084].start 18404.12534375
transcript.pyannote[3084].end 18405.49221875
transcript.pyannote[3085].speaker SPEAKER_18
transcript.pyannote[3085].start 18412.19159375
transcript.pyannote[3085].end 18414.25034375
transcript.pyannote[3086].speaker SPEAKER_18
transcript.pyannote[3086].start 18416.29221875
transcript.pyannote[3086].end 18417.05159375
transcript.pyannote[3087].speaker SPEAKER_18
transcript.pyannote[3087].start 18417.69284375
transcript.pyannote[3087].end 18419.93721875
transcript.pyannote[3088].speaker SPEAKER_18
transcript.pyannote[3088].start 18420.61221875
transcript.pyannote[3088].end 18421.67534375
transcript.pyannote[3089].speaker SPEAKER_18
transcript.pyannote[3089].start 18423.95346875
transcript.pyannote[3089].end 18424.03784375
transcript.pyannote[3090].speaker SPEAKER_17
transcript.pyannote[3090].start 18424.03784375
transcript.pyannote[3090].end 18424.91534375
transcript.pyannote[3091].speaker SPEAKER_17
transcript.pyannote[3091].start 18425.37096875
transcript.pyannote[3091].end 18447.03846875
transcript.pyannote[3092].speaker SPEAKER_18
transcript.pyannote[3092].start 18450.86909375
transcript.pyannote[3092].end 18453.29909375
transcript.pyannote[3093].speaker SPEAKER_18
transcript.pyannote[3093].start 18454.75034375
transcript.pyannote[3093].end 18455.93159375
transcript.pyannote[3094].speaker SPEAKER_18
transcript.pyannote[3094].start 18456.31971875
transcript.pyannote[3094].end 18459.15471875
transcript.pyannote[3095].speaker SPEAKER_05
transcript.pyannote[3095].start 18459.82971875
transcript.pyannote[3095].end 18461.09534375
transcript.pyannote[3096].speaker SPEAKER_18
transcript.pyannote[3096].start 18461.53409375
transcript.pyannote[3096].end 18471.25409375
transcript.pyannote[3097].speaker SPEAKER_18
transcript.pyannote[3097].start 18477.64971875
transcript.pyannote[3097].end 18477.91971875
transcript.pyannote[3098].speaker SPEAKER_18
transcript.pyannote[3098].start 18480.31596875
transcript.pyannote[3098].end 18482.35784375
transcript.pyannote[3099].speaker SPEAKER_08
transcript.pyannote[3099].start 18483.45471875
transcript.pyannote[3099].end 18483.67409375
transcript.pyannote[3100].speaker SPEAKER_18
transcript.pyannote[3100].start 18483.67409375
transcript.pyannote[3100].end 18483.69096875
transcript.pyannote[3101].speaker SPEAKER_08
transcript.pyannote[3101].start 18483.69096875
transcript.pyannote[3101].end 18483.82596875
transcript.pyannote[3102].speaker SPEAKER_18
transcript.pyannote[3102].start 18483.82596875
transcript.pyannote[3102].end 18483.84284375
transcript.pyannote[3103].speaker SPEAKER_08
transcript.pyannote[3103].start 18483.84284375
transcript.pyannote[3103].end 18483.89346875
transcript.pyannote[3104].speaker SPEAKER_08
transcript.pyannote[3104].start 18484.02846875
transcript.pyannote[3104].end 18484.04534375
transcript.pyannote[3105].speaker SPEAKER_18
transcript.pyannote[3105].start 18484.04534375
transcript.pyannote[3105].end 18484.33221875
transcript.pyannote[3106].speaker SPEAKER_18
transcript.pyannote[3106].start 18488.36534375
transcript.pyannote[3106].end 18488.70284375
transcript.pyannote[3107].speaker SPEAKER_18
transcript.pyannote[3107].start 18489.37784375
transcript.pyannote[3107].end 18490.69409375
transcript.pyannote[3108].speaker SPEAKER_18
transcript.pyannote[3108].start 18497.66346875
transcript.pyannote[3108].end 18500.39721875
transcript.pyannote[3109].speaker SPEAKER_18
transcript.pyannote[3109].start 18500.98784375
transcript.pyannote[3109].end 18514.79159375
transcript.pyannote[3110].speaker SPEAKER_24
transcript.pyannote[3110].start 18502.03409375
transcript.pyannote[3110].end 18502.11846875
transcript.pyannote[3111].speaker SPEAKER_18
transcript.pyannote[3111].start 18514.82534375
transcript.pyannote[3111].end 18517.33971875
transcript.pyannote[3112].speaker SPEAKER_18
transcript.pyannote[3112].start 18517.47471875
transcript.pyannote[3112].end 18518.11596875
transcript.pyannote[3113].speaker SPEAKER_05
transcript.pyannote[3113].start 18519.58409375
transcript.pyannote[3113].end 18524.07284375
transcript.pyannote[3114].speaker SPEAKER_05
transcript.pyannote[3114].start 18524.57909375
transcript.pyannote[3114].end 18531.83534375
transcript.pyannote[3115].speaker SPEAKER_05
transcript.pyannote[3115].start 18532.29096875
transcript.pyannote[3115].end 18536.61096875
transcript.pyannote[3116].speaker SPEAKER_05
transcript.pyannote[3116].start 18537.28596875
transcript.pyannote[3116].end 18543.42846875
transcript.pyannote[3117].speaker SPEAKER_05
transcript.pyannote[3117].start 18543.52971875
transcript.pyannote[3117].end 18553.16534375
transcript.pyannote[3118].speaker SPEAKER_05
transcript.pyannote[3118].start 18553.95846875
transcript.pyannote[3118].end 18573.88784375
transcript.pyannote[3119].speaker SPEAKER_05
transcript.pyannote[3119].start 18575.11971875
transcript.pyannote[3119].end 18590.39159375
transcript.pyannote[3120].speaker SPEAKER_05
transcript.pyannote[3120].start 18591.04971875
transcript.pyannote[3120].end 18596.12909375
transcript.pyannote[3121].speaker SPEAKER_05
transcript.pyannote[3121].start 18596.43284375
transcript.pyannote[3121].end 18622.70721875
transcript.pyannote[3122].speaker SPEAKER_05
transcript.pyannote[3122].start 18623.17971875
transcript.pyannote[3122].end 18627.68534375
transcript.pyannote[3123].speaker SPEAKER_05
transcript.pyannote[3123].start 18628.07346875
transcript.pyannote[3123].end 18649.40346875
transcript.pyannote[3124].speaker SPEAKER_05
transcript.pyannote[3124].start 18649.72409375
transcript.pyannote[3124].end 18683.55846875
transcript.pyannote[3125].speaker SPEAKER_18
transcript.pyannote[3125].start 18684.77346875
transcript.pyannote[3125].end 18685.75221875
transcript.pyannote[3126].speaker SPEAKER_29
transcript.pyannote[3126].start 18686.02221875
transcript.pyannote[3126].end 18742.36784375
transcript.pyannote[3127].speaker SPEAKER_29
transcript.pyannote[3127].start 18742.92471875
transcript.pyannote[3127].end 18759.59721875
transcript.pyannote[3128].speaker SPEAKER_29
transcript.pyannote[3128].start 18760.22159375
transcript.pyannote[3128].end 18785.43284375
transcript.pyannote[3129].speaker SPEAKER_29
transcript.pyannote[3129].start 18786.22596875
transcript.pyannote[3129].end 18787.01909375
transcript.pyannote[3130].speaker SPEAKER_29
transcript.pyannote[3130].start 18787.45784375
transcript.pyannote[3130].end 18812.02784375
transcript.pyannote[3131].speaker SPEAKER_29
transcript.pyannote[3131].start 18812.97284375
transcript.pyannote[3131].end 18815.89221875
transcript.pyannote[3132].speaker SPEAKER_29
transcript.pyannote[3132].start 18816.19596875
transcript.pyannote[3132].end 18822.55784375
transcript.pyannote[3133].speaker SPEAKER_29
transcript.pyannote[3133].start 18822.69284375
transcript.pyannote[3133].end 18827.46846875
transcript.pyannote[3134].speaker SPEAKER_29
transcript.pyannote[3134].start 18828.14346875
transcript.pyannote[3134].end 18845.59221875
transcript.pyannote[3135].speaker SPEAKER_29
transcript.pyannote[3135].start 18846.08159375
transcript.pyannote[3135].end 18876.06846875
transcript.pyannote[3136].speaker SPEAKER_29
transcript.pyannote[3136].start 18876.38909375
transcript.pyannote[3136].end 18878.93721875
transcript.pyannote[3137].speaker SPEAKER_29
transcript.pyannote[3137].start 18879.94971875
transcript.pyannote[3137].end 18896.08221875
transcript.pyannote[3138].speaker SPEAKER_29
transcript.pyannote[3138].start 18896.38596875
transcript.pyannote[3138].end 18897.07784375
transcript.pyannote[3139].speaker SPEAKER_29
transcript.pyannote[3139].start 18897.21284375
transcript.pyannote[3139].end 18950.97659375
transcript.pyannote[3140].speaker SPEAKER_29
transcript.pyannote[3140].start 18951.75284375
transcript.pyannote[3140].end 18974.34846875
transcript.pyannote[3141].speaker SPEAKER_29
transcript.pyannote[3141].start 18975.12471875
transcript.pyannote[3141].end 18979.81596875
transcript.pyannote[3142].speaker SPEAKER_29
transcript.pyannote[3142].start 18980.08596875
transcript.pyannote[3142].end 18980.74409375
transcript.pyannote[3143].speaker SPEAKER_29
transcript.pyannote[3143].start 18981.55409375
transcript.pyannote[3143].end 18983.17409375
transcript.pyannote[3144].speaker SPEAKER_29
transcript.pyannote[3144].start 18983.89971875
transcript.pyannote[3144].end 18984.89534375
transcript.pyannote[3145].speaker SPEAKER_29
transcript.pyannote[3145].start 18985.87409375
transcript.pyannote[3145].end 18987.78096875
transcript.pyannote[3146].speaker SPEAKER_29
transcript.pyannote[3146].start 18988.62471875
transcript.pyannote[3146].end 18992.65784375
transcript.pyannote[3147].speaker SPEAKER_29
transcript.pyannote[3147].start 18992.97846875
transcript.pyannote[3147].end 19031.38596875
transcript.pyannote[3148].speaker SPEAKER_29
transcript.pyannote[3148].start 19031.90909375
transcript.pyannote[3148].end 19043.72159375
transcript.pyannote[3149].speaker SPEAKER_29
transcript.pyannote[3149].start 19044.07596875
transcript.pyannote[3149].end 19046.37096875
transcript.pyannote[3150].speaker SPEAKER_29
transcript.pyannote[3150].start 19046.74221875
transcript.pyannote[3150].end 19053.57659375
transcript.pyannote[3151].speaker SPEAKER_29
transcript.pyannote[3151].start 19054.06596875
transcript.pyannote[3151].end 19055.97284375
transcript.pyannote[3152].speaker SPEAKER_29
transcript.pyannote[3152].start 19056.36096875
transcript.pyannote[3152].end 19073.40471875
transcript.pyannote[3153].speaker SPEAKER_29
transcript.pyannote[3153].start 19073.82659375
transcript.pyannote[3153].end 19078.24784375
transcript.pyannote[3154].speaker SPEAKER_29
transcript.pyannote[3154].start 19080.03659375
transcript.pyannote[3154].end 19082.26409375
transcript.pyannote[3155].speaker SPEAKER_29
transcript.pyannote[3155].start 19083.05721875
transcript.pyannote[3155].end 19118.46096875
transcript.pyannote[3156].speaker SPEAKER_18
transcript.pyannote[3156].start 19118.93346875
transcript.pyannote[3156].end 19123.87784375
transcript.pyannote[3157].speaker SPEAKER_17
transcript.pyannote[3157].start 19123.50659375
transcript.pyannote[3157].end 19158.03284375
transcript.pyannote[3158].speaker SPEAKER_17
transcript.pyannote[3158].start 19158.79221875
transcript.pyannote[3158].end 19162.26846875
transcript.pyannote[3159].speaker SPEAKER_17
transcript.pyannote[3159].start 19162.57221875
transcript.pyannote[3159].end 19164.58034375
transcript.pyannote[3160].speaker SPEAKER_17
transcript.pyannote[3160].start 19167.61784375
transcript.pyannote[3160].end 19167.63471875
transcript.pyannote[3161].speaker SPEAKER_18
transcript.pyannote[3161].start 19167.63471875
transcript.pyannote[3161].end 19169.00159375
transcript.pyannote[3162].speaker SPEAKER_31
transcript.pyannote[3162].start 19169.49096875
transcript.pyannote[3162].end 19180.94909375
transcript.pyannote[3163].speaker SPEAKER_31
transcript.pyannote[3163].start 19181.06721875
transcript.pyannote[3163].end 19193.48721875
transcript.pyannote[3164].speaker SPEAKER_31
transcript.pyannote[3164].start 19193.52096875
transcript.pyannote[3164].end 19241.64846875
transcript.pyannote[3165].speaker SPEAKER_31
transcript.pyannote[3165].start 19241.83409375
transcript.pyannote[3165].end 19249.90034375
transcript.pyannote[3166].speaker SPEAKER_31
transcript.pyannote[3166].start 19250.13659375
transcript.pyannote[3166].end 19263.16409375
transcript.pyannote[3167].speaker SPEAKER_31
transcript.pyannote[3167].start 19263.88971875
transcript.pyannote[3167].end 19273.98096875
transcript.pyannote[3168].speaker SPEAKER_31
transcript.pyannote[3168].start 19274.38596875
transcript.pyannote[3168].end 19277.81159375
transcript.pyannote[3169].speaker SPEAKER_31
transcript.pyannote[3169].start 19277.98034375
transcript.pyannote[3169].end 19285.05096875
transcript.pyannote[3170].speaker SPEAKER_31
transcript.pyannote[3170].start 19285.25346875
transcript.pyannote[3170].end 19308.20346875
transcript.pyannote[3171].speaker SPEAKER_31
transcript.pyannote[3171].start 19308.47346875
transcript.pyannote[3171].end 19341.14346875
transcript.pyannote[3172].speaker SPEAKER_31
transcript.pyannote[3172].start 19341.66659375
transcript.pyannote[3172].end 19360.81971875
transcript.pyannote[3173].speaker SPEAKER_31
transcript.pyannote[3173].start 19360.85346875
transcript.pyannote[3173].end 19363.46909375
transcript.pyannote[3174].speaker SPEAKER_18
transcript.pyannote[3174].start 19364.11034375
transcript.pyannote[3174].end 19366.52346875
transcript.pyannote[3175].speaker SPEAKER_11
transcript.pyannote[3175].start 19368.05909375
transcript.pyannote[3175].end 19381.32284375
transcript.pyannote[3176].speaker SPEAKER_11
transcript.pyannote[3176].start 19381.60971875
transcript.pyannote[3176].end 19402.77096875
transcript.pyannote[3177].speaker SPEAKER_11
transcript.pyannote[3177].start 19402.85534375
transcript.pyannote[3177].end 19406.02784375
transcript.pyannote[3178].speaker SPEAKER_11
transcript.pyannote[3178].start 19406.26409375
transcript.pyannote[3178].end 19408.00221875
transcript.pyannote[3179].speaker SPEAKER_11
transcript.pyannote[3179].start 19408.13721875
transcript.pyannote[3179].end 19488.76596875
transcript.pyannote[3180].speaker SPEAKER_11
transcript.pyannote[3180].start 19488.86721875
transcript.pyannote[3180].end 19502.38409375
transcript.pyannote[3181].speaker SPEAKER_11
transcript.pyannote[3181].start 19503.80159375
transcript.pyannote[3181].end 19528.03409375
transcript.pyannote[3182].speaker SPEAKER_11
transcript.pyannote[3182].start 19528.13534375
transcript.pyannote[3182].end 19568.92221875
transcript.pyannote[3183].speaker SPEAKER_11
transcript.pyannote[3183].start 19569.64784375
transcript.pyannote[3183].end 19611.39659375
transcript.pyannote[3184].speaker SPEAKER_18
transcript.pyannote[3184].start 19612.32471875
transcript.pyannote[3184].end 19615.41284375
transcript.pyannote[3185].speaker SPEAKER_17
transcript.pyannote[3185].start 19614.94034375
transcript.pyannote[3185].end 19640.30346875
transcript.pyannote[3186].speaker SPEAKER_06
transcript.pyannote[3186].start 19642.49721875
transcript.pyannote[3186].end 19643.12159375
transcript.pyannote[3187].speaker SPEAKER_06
transcript.pyannote[3187].start 19643.64471875
transcript.pyannote[3187].end 19644.74159375
transcript.pyannote[3188].speaker SPEAKER_06
transcript.pyannote[3188].start 19647.13784375
transcript.pyannote[3188].end 19677.71534375
transcript.pyannote[3189].speaker SPEAKER_06
transcript.pyannote[3189].start 19678.22159375
transcript.pyannote[3189].end 19685.46096875
transcript.pyannote[3190].speaker SPEAKER_06
transcript.pyannote[3190].start 19686.42284375
transcript.pyannote[3190].end 19695.92346875
transcript.pyannote[3191].speaker SPEAKER_06
transcript.pyannote[3191].start 19696.04159375
transcript.pyannote[3191].end 19698.35346875
transcript.pyannote[3192].speaker SPEAKER_06
transcript.pyannote[3192].start 19698.87659375
transcript.pyannote[3192].end 19740.96284375
transcript.pyannote[3193].speaker SPEAKER_06
transcript.pyannote[3193].start 19741.19909375
transcript.pyannote[3193].end 19748.23596875
transcript.pyannote[3194].speaker SPEAKER_06
transcript.pyannote[3194].start 19748.43846875
transcript.pyannote[3194].end 19755.96471875
transcript.pyannote[3195].speaker SPEAKER_06
transcript.pyannote[3195].start 19756.23471875
transcript.pyannote[3195].end 19776.87284375
transcript.pyannote[3196].speaker SPEAKER_06
transcript.pyannote[3196].start 19777.51409375
transcript.pyannote[3196].end 19789.83284375
transcript.pyannote[3197].speaker SPEAKER_06
transcript.pyannote[3197].start 19790.42346875
transcript.pyannote[3197].end 19794.81096875
transcript.pyannote[3198].speaker SPEAKER_06
transcript.pyannote[3198].start 19794.96284375
transcript.pyannote[3198].end 19799.70471875
transcript.pyannote[3199].speaker SPEAKER_06
transcript.pyannote[3199].start 19800.98721875
transcript.pyannote[3199].end 19820.51159375
transcript.pyannote[3200].speaker SPEAKER_06
transcript.pyannote[3200].start 19821.27096875
transcript.pyannote[3200].end 19822.53659375
transcript.pyannote[3201].speaker SPEAKER_06
transcript.pyannote[3201].start 19824.02159375
transcript.pyannote[3201].end 19874.62971875
transcript.pyannote[3202].speaker SPEAKER_06
transcript.pyannote[3202].start 19875.49034375
transcript.pyannote[3202].end 19878.19034375
transcript.pyannote[3203].speaker SPEAKER_06
transcript.pyannote[3203].start 19879.69221875
transcript.pyannote[3203].end 19892.46659375
transcript.pyannote[3204].speaker SPEAKER_18
transcript.pyannote[3204].start 19893.51284375
transcript.pyannote[3204].end 19899.11534375
transcript.pyannote[3205].speaker SPEAKER_18
transcript.pyannote[3205].start 19900.78596875
transcript.pyannote[3205].end 19939.80096875
transcript.pyannote[3206].speaker SPEAKER_18
transcript.pyannote[3206].start 19939.96971875
transcript.pyannote[3206].end 19955.73096875
transcript.pyannote[3207].speaker SPEAKER_18
transcript.pyannote[3207].start 19957.03034375
transcript.pyannote[3207].end 19958.98784375
transcript.pyannote[3208].speaker SPEAKER_18
transcript.pyannote[3208].start 19959.44346875
transcript.pyannote[3208].end 19960.59096875
transcript.pyannote[3209].speaker SPEAKER_18
transcript.pyannote[3209].start 19961.02971875
transcript.pyannote[3209].end 19966.66596875
transcript.pyannote[3210].speaker SPEAKER_18
transcript.pyannote[3210].start 19966.96971875
transcript.pyannote[3210].end 19976.53784375
transcript.pyannote[3211].speaker SPEAKER_18
transcript.pyannote[3211].start 19977.04409375
transcript.pyannote[3211].end 19984.30034375
transcript.pyannote[3212].speaker SPEAKER_18
transcript.pyannote[3212].start 19985.05971875
transcript.pyannote[3212].end 19986.76409375
transcript.pyannote[3213].speaker SPEAKER_18
transcript.pyannote[3213].start 19987.11846875
transcript.pyannote[3213].end 19995.25221875
transcript.pyannote[3214].speaker SPEAKER_18
transcript.pyannote[3214].start 19996.45034375
transcript.pyannote[3214].end 19997.96909375
transcript.pyannote[3215].speaker SPEAKER_18
transcript.pyannote[3215].start 19998.39096875
transcript.pyannote[3215].end 20015.58659375
transcript.pyannote[3216].speaker SPEAKER_18
transcript.pyannote[3216].start 20016.53159375
transcript.pyannote[3216].end 20018.30346875
transcript.pyannote[3217].speaker SPEAKER_18
transcript.pyannote[3217].start 20019.40034375
transcript.pyannote[3217].end 20036.51159375
transcript.pyannote[3218].speaker SPEAKER_18
transcript.pyannote[3218].start 20037.10221875
transcript.pyannote[3218].end 20038.60409375
transcript.pyannote[3219].speaker SPEAKER_18
transcript.pyannote[3219].start 20038.97534375
transcript.pyannote[3219].end 20042.95784375
transcript.pyannote[3220].speaker SPEAKER_18
transcript.pyannote[3220].start 20043.73409375
transcript.pyannote[3220].end 20059.41096875
transcript.pyannote[3221].speaker SPEAKER_18
transcript.pyannote[3221].start 20059.73159375
transcript.pyannote[3221].end 20061.09846875
transcript.pyannote[3222].speaker SPEAKER_18
transcript.pyannote[3222].start 20061.68909375
transcript.pyannote[3222].end 20062.48221875
transcript.pyannote[3223].speaker SPEAKER_12
transcript.pyannote[3223].start 20065.78971875
transcript.pyannote[3223].end 20068.00034375
transcript.pyannote[3224].speaker SPEAKER_12
transcript.pyannote[3224].start 20069.01284375
transcript.pyannote[3224].end 20070.27846875
transcript.pyannote[3225].speaker SPEAKER_12
transcript.pyannote[3225].start 20070.86909375
transcript.pyannote[3225].end 20072.45534375
transcript.pyannote[3226].speaker SPEAKER_12
transcript.pyannote[3226].start 20073.38346875
transcript.pyannote[3226].end 20076.92721875
transcript.pyannote[3227].speaker SPEAKER_12
transcript.pyannote[3227].start 20078.10846875
transcript.pyannote[3227].end 20079.72846875
transcript.pyannote[3228].speaker SPEAKER_12
transcript.pyannote[3228].start 20080.21784375
transcript.pyannote[3228].end 20082.29346875
transcript.pyannote[3229].speaker SPEAKER_12
transcript.pyannote[3229].start 20082.41159375
transcript.pyannote[3229].end 20083.37346875
transcript.pyannote[3230].speaker SPEAKER_12
transcript.pyannote[3230].start 20084.18346875
transcript.pyannote[3230].end 20085.26346875
transcript.pyannote[3231].speaker SPEAKER_12
transcript.pyannote[3231].start 20085.44909375
transcript.pyannote[3231].end 20088.75659375
transcript.pyannote[3232].speaker SPEAKER_12
transcript.pyannote[3232].start 20089.92096875
transcript.pyannote[3232].end 20095.28721875
transcript.pyannote[3233].speaker SPEAKER_12
transcript.pyannote[3233].start 20096.14784375
transcript.pyannote[3233].end 20098.17284375
transcript.pyannote[3234].speaker SPEAKER_12
transcript.pyannote[3234].start 20098.52721875
transcript.pyannote[3234].end 20100.36659375
transcript.pyannote[3235].speaker SPEAKER_12
transcript.pyannote[3235].start 20100.97409375
transcript.pyannote[3235].end 20102.77971875
transcript.pyannote[3236].speaker SPEAKER_12
transcript.pyannote[3236].start 20103.35346875
transcript.pyannote[3236].end 20108.02784375
transcript.pyannote[3237].speaker SPEAKER_12
transcript.pyannote[3237].start 20108.85471875
transcript.pyannote[3237].end 20109.58034375
transcript.pyannote[3238].speaker SPEAKER_12
transcript.pyannote[3238].start 20109.96846875
transcript.pyannote[3238].end 20110.03596875
transcript.pyannote[3239].speaker SPEAKER_12
transcript.pyannote[3239].start 20110.30596875
transcript.pyannote[3239].end 20112.53346875
transcript.pyannote[3240].speaker SPEAKER_12
transcript.pyannote[3240].start 20113.34346875
transcript.pyannote[3240].end 20115.16596875
transcript.pyannote[3241].speaker SPEAKER_12
transcript.pyannote[3241].start 20115.90846875
transcript.pyannote[3241].end 20115.97596875
transcript.pyannote[3242].speaker SPEAKER_12
transcript.pyannote[3242].start 20116.00971875
transcript.pyannote[3242].end 20116.02659375
transcript.pyannote[3243].speaker SPEAKER_12
transcript.pyannote[3243].start 20116.07721875
transcript.pyannote[3243].end 20119.68846875
transcript.pyannote[3244].speaker SPEAKER_12
transcript.pyannote[3244].start 20121.51096875
transcript.pyannote[3244].end 20122.65846875
transcript.pyannote[3245].speaker SPEAKER_12
transcript.pyannote[3245].start 20124.17721875
transcript.pyannote[3245].end 20125.30784375
transcript.pyannote[3246].speaker SPEAKER_12
transcript.pyannote[3246].start 20126.13471875
transcript.pyannote[3246].end 20126.99534375
transcript.pyannote[3247].speaker SPEAKER_12
transcript.pyannote[3247].start 20127.51846875
transcript.pyannote[3247].end 20128.64909375
transcript.pyannote[3248].speaker SPEAKER_12
transcript.pyannote[3248].start 20129.47596875
transcript.pyannote[3248].end 20130.15096875
transcript.pyannote[3249].speaker SPEAKER_12
transcript.pyannote[3249].start 20130.62346875
transcript.pyannote[3249].end 20132.69909375
transcript.pyannote[3250].speaker SPEAKER_12
transcript.pyannote[3250].start 20133.25596875
transcript.pyannote[3250].end 20136.12471875
transcript.pyannote[3251].speaker SPEAKER_12
transcript.pyannote[3251].start 20136.64784375
transcript.pyannote[3251].end 20138.50409375
transcript.pyannote[3252].speaker SPEAKER_12
transcript.pyannote[3252].start 20138.79096875
transcript.pyannote[3252].end 20139.83721875
transcript.pyannote[3253].speaker SPEAKER_12
transcript.pyannote[3253].start 20140.39409375
transcript.pyannote[3253].end 20143.26284375
transcript.pyannote[3254].speaker SPEAKER_12
transcript.pyannote[3254].start 20143.81971875
transcript.pyannote[3254].end 20145.50721875
transcript.pyannote[3255].speaker SPEAKER_12
transcript.pyannote[3255].start 20145.86159375
transcript.pyannote[3255].end 20147.16096875
transcript.pyannote[3256].speaker SPEAKER_12
transcript.pyannote[3256].start 20147.97096875
transcript.pyannote[3256].end 20149.03409375
transcript.pyannote[3257].speaker SPEAKER_12
transcript.pyannote[3257].start 20151.09284375
transcript.pyannote[3257].end 20152.64534375
transcript.pyannote[3258].speaker SPEAKER_12
transcript.pyannote[3258].start 20152.96596875
transcript.pyannote[3258].end 20155.71659375
transcript.pyannote[3259].speaker SPEAKER_12
transcript.pyannote[3259].start 20156.20596875
transcript.pyannote[3259].end 20159.42909375
transcript.pyannote[3260].speaker SPEAKER_12
transcript.pyannote[3260].start 20159.96909375
transcript.pyannote[3260].end 20161.08284375
transcript.pyannote[3261].speaker SPEAKER_12
transcript.pyannote[3261].start 20161.85909375
transcript.pyannote[3261].end 20164.50846875
transcript.pyannote[3262].speaker SPEAKER_12
transcript.pyannote[3262].start 20164.89659375
transcript.pyannote[3262].end 20165.53784375
transcript.pyannote[3263].speaker SPEAKER_12
transcript.pyannote[3263].start 20166.24659375
transcript.pyannote[3263].end 20166.56721875
transcript.pyannote[3264].speaker SPEAKER_12
transcript.pyannote[3264].start 20166.98909375
transcript.pyannote[3264].end 20169.43596875
transcript.pyannote[3265].speaker SPEAKER_12
transcript.pyannote[3265].start 20169.97596875
transcript.pyannote[3265].end 20171.47784375
transcript.pyannote[3266].speaker SPEAKER_12
transcript.pyannote[3266].start 20171.81534375
transcript.pyannote[3266].end 20173.73909375
transcript.pyannote[3267].speaker SPEAKER_12
transcript.pyannote[3267].start 20174.34659375
transcript.pyannote[3267].end 20176.08471875
transcript.pyannote[3268].speaker SPEAKER_12
transcript.pyannote[3268].start 20176.47284375
transcript.pyannote[3268].end 20182.75034375
transcript.pyannote[3269].speaker SPEAKER_12
transcript.pyannote[3269].start 20183.61096875
transcript.pyannote[3269].end 20184.82596875
transcript.pyannote[3270].speaker SPEAKER_12
transcript.pyannote[3270].start 20185.88909375
transcript.pyannote[3270].end 20189.23034375
transcript.pyannote[3271].speaker SPEAKER_12
transcript.pyannote[3271].start 20189.70284375
transcript.pyannote[3271].end 20190.42846875
transcript.pyannote[3272].speaker SPEAKER_12
transcript.pyannote[3272].start 20191.06971875
transcript.pyannote[3272].end 20195.32221875
transcript.pyannote[3273].speaker SPEAKER_12
transcript.pyannote[3273].start 20195.86221875
transcript.pyannote[3273].end 20197.54971875
transcript.pyannote[3274].speaker SPEAKER_12
transcript.pyannote[3274].start 20198.10659375
transcript.pyannote[3274].end 20200.68846875
transcript.pyannote[3275].speaker SPEAKER_12
transcript.pyannote[3275].start 20201.26221875
transcript.pyannote[3275].end 20202.13971875
transcript.pyannote[3276].speaker SPEAKER_12
transcript.pyannote[3276].start 20203.59096875
transcript.pyannote[3276].end 20207.38784375
transcript.pyannote[3277].speaker SPEAKER_12
transcript.pyannote[3277].start 20207.79284375
transcript.pyannote[3277].end 20208.77159375
transcript.pyannote[3278].speaker SPEAKER_12
transcript.pyannote[3278].start 20209.27784375
transcript.pyannote[3278].end 20215.03221875
transcript.pyannote[3279].speaker SPEAKER_12
transcript.pyannote[3279].start 20215.58909375
transcript.pyannote[3279].end 20219.30159375
transcript.pyannote[3280].speaker SPEAKER_12
transcript.pyannote[3280].start 20219.38596875
transcript.pyannote[3280].end 20223.21659375
transcript.pyannote[3281].speaker SPEAKER_12
transcript.pyannote[3281].start 20223.68909375
transcript.pyannote[3281].end 20225.15721875
transcript.pyannote[3282].speaker SPEAKER_12
transcript.pyannote[3282].start 20225.56221875
transcript.pyannote[3282].end 20228.81909375
transcript.pyannote[3283].speaker SPEAKER_12
transcript.pyannote[3283].start 20229.19034375
transcript.pyannote[3283].end 20231.29971875
transcript.pyannote[3284].speaker SPEAKER_12
transcript.pyannote[3284].start 20231.63721875
transcript.pyannote[3284].end 20233.66221875
transcript.pyannote[3285].speaker SPEAKER_12
transcript.pyannote[3285].start 20234.28659375
transcript.pyannote[3285].end 20236.29471875
transcript.pyannote[3286].speaker SPEAKER_12
transcript.pyannote[3286].start 20237.88096875
transcript.pyannote[3286].end 20240.64846875
transcript.pyannote[3287].speaker SPEAKER_12
transcript.pyannote[3287].start 20241.10409375
transcript.pyannote[3287].end 20247.60096875
transcript.pyannote[3288].speaker SPEAKER_12
transcript.pyannote[3288].start 20248.24221875
transcript.pyannote[3288].end 20249.38971875
transcript.pyannote[3289].speaker SPEAKER_12
transcript.pyannote[3289].start 20250.09846875
transcript.pyannote[3289].end 20251.93784375
transcript.pyannote[3290].speaker SPEAKER_12
transcript.pyannote[3290].start 20252.12346875
transcript.pyannote[3290].end 20254.09784375
transcript.pyannote[3291].speaker SPEAKER_12
transcript.pyannote[3291].start 20254.58721875
transcript.pyannote[3291].end 20255.93721875
transcript.pyannote[3292].speaker SPEAKER_12
transcript.pyannote[3292].start 20256.39284375
transcript.pyannote[3292].end 20258.72159375
transcript.pyannote[3293].speaker SPEAKER_12
transcript.pyannote[3293].start 20258.78909375
transcript.pyannote[3293].end 20260.76346875
transcript.pyannote[3294].speaker SPEAKER_12
transcript.pyannote[3294].start 20261.20221875
transcript.pyannote[3294].end 20262.11346875
transcript.pyannote[3295].speaker SPEAKER_12
transcript.pyannote[3295].start 20262.31596875
transcript.pyannote[3295].end 20267.49659375
transcript.pyannote[3296].speaker SPEAKER_12
transcript.pyannote[3296].start 20268.81284375
transcript.pyannote[3296].end 20273.04846875
transcript.pyannote[3297].speaker SPEAKER_12
transcript.pyannote[3297].start 20273.75721875
transcript.pyannote[3297].end 20277.50346875
transcript.pyannote[3298].speaker SPEAKER_12
transcript.pyannote[3298].start 20278.04346875
transcript.pyannote[3298].end 20279.57909375
transcript.pyannote[3299].speaker SPEAKER_12
transcript.pyannote[3299].start 20280.20346875
transcript.pyannote[3299].end 20281.77284375
transcript.pyannote[3300].speaker SPEAKER_12
transcript.pyannote[3300].start 20282.31284375
transcript.pyannote[3300].end 20283.81471875
transcript.pyannote[3301].speaker SPEAKER_12
transcript.pyannote[3301].start 20283.86534375
transcript.pyannote[3301].end 20283.89909375
transcript.pyannote[3302].speaker SPEAKER_12
transcript.pyannote[3302].start 20284.11846875
transcript.pyannote[3302].end 20285.70471875
transcript.pyannote[3303].speaker SPEAKER_12
transcript.pyannote[3303].start 20286.24471875
transcript.pyannote[3303].end 20291.98221875
transcript.pyannote[3304].speaker SPEAKER_12
transcript.pyannote[3304].start 20292.50534375
transcript.pyannote[3304].end 20293.78784375
transcript.pyannote[3305].speaker SPEAKER_12
transcript.pyannote[3305].start 20294.36159375
transcript.pyannote[3305].end 20296.65659375
transcript.pyannote[3306].speaker SPEAKER_12
transcript.pyannote[3306].start 20297.12909375
transcript.pyannote[3306].end 20299.00221875
transcript.pyannote[3307].speaker SPEAKER_12
transcript.pyannote[3307].start 20299.35659375
transcript.pyannote[3307].end 20305.00971875
transcript.pyannote[3308].speaker SPEAKER_12
transcript.pyannote[3308].start 20305.60034375
transcript.pyannote[3308].end 20306.73096875
transcript.pyannote[3309].speaker SPEAKER_12
transcript.pyannote[3309].start 20307.94596875
transcript.pyannote[3309].end 20312.24909375
transcript.pyannote[3310].speaker SPEAKER_12
transcript.pyannote[3310].start 20312.68784375
transcript.pyannote[3310].end 20322.18846875
transcript.pyannote[3311].speaker SPEAKER_12
transcript.pyannote[3311].start 20322.71159375
transcript.pyannote[3311].end 20329.10721875
transcript.pyannote[3312].speaker SPEAKER_12
transcript.pyannote[3312].start 20329.63034375
transcript.pyannote[3312].end 20329.83284375
transcript.pyannote[3313].speaker SPEAKER_12
transcript.pyannote[3313].start 20330.40659375
transcript.pyannote[3313].end 20333.32596875
transcript.pyannote[3314].speaker SPEAKER_12
transcript.pyannote[3314].start 20333.52846875
transcript.pyannote[3314].end 20334.86159375
transcript.pyannote[3315].speaker SPEAKER_12
transcript.pyannote[3315].start 20336.12721875
transcript.pyannote[3315].end 20337.05534375
transcript.pyannote[3316].speaker SPEAKER_12
transcript.pyannote[3316].start 20337.94971875
transcript.pyannote[3316].end 20338.86096875
transcript.pyannote[3317].speaker SPEAKER_12
transcript.pyannote[3317].start 20339.63721875
transcript.pyannote[3317].end 20344.41284375
transcript.pyannote[3318].speaker SPEAKER_12
transcript.pyannote[3318].start 20344.71659375
transcript.pyannote[3318].end 20345.18909375
transcript.pyannote[3319].speaker SPEAKER_12
transcript.pyannote[3319].start 20346.30284375
transcript.pyannote[3319].end 20348.36159375
transcript.pyannote[3320].speaker SPEAKER_12
transcript.pyannote[3320].start 20349.01971875
transcript.pyannote[3320].end 20350.75784375
transcript.pyannote[3321].speaker SPEAKER_12
transcript.pyannote[3321].start 20351.34846875
transcript.pyannote[3321].end 20356.64721875
transcript.pyannote[3322].speaker SPEAKER_12
transcript.pyannote[3322].start 20357.01846875
transcript.pyannote[3322].end 20359.56659375
transcript.pyannote[3323].speaker SPEAKER_12
transcript.pyannote[3323].start 20360.17409375
transcript.pyannote[3323].end 20364.40971875
transcript.pyannote[3324].speaker SPEAKER_12
transcript.pyannote[3324].start 20364.71346875
transcript.pyannote[3324].end 20368.34159375
transcript.pyannote[3325].speaker SPEAKER_12
transcript.pyannote[3325].start 20368.83096875
transcript.pyannote[3325].end 20369.79284375
transcript.pyannote[3326].speaker SPEAKER_12
transcript.pyannote[3326].start 20370.46784375
transcript.pyannote[3326].end 20372.03721875
transcript.pyannote[3327].speaker SPEAKER_12
transcript.pyannote[3327].start 20372.72909375
transcript.pyannote[3327].end 20375.17596875
transcript.pyannote[3328].speaker SPEAKER_12
transcript.pyannote[3328].start 20376.47534375
transcript.pyannote[3328].end 20377.77471875
transcript.pyannote[3329].speaker SPEAKER_12
transcript.pyannote[3329].start 20378.63534375
transcript.pyannote[3329].end 20380.82909375
transcript.pyannote[3330].speaker SPEAKER_12
transcript.pyannote[3330].start 20381.21721875
transcript.pyannote[3330].end 20386.54971875
transcript.pyannote[3331].speaker SPEAKER_12
transcript.pyannote[3331].start 20386.93784375
transcript.pyannote[3331].end 20388.79409375
transcript.pyannote[3332].speaker SPEAKER_12
transcript.pyannote[3332].start 20389.51971875
transcript.pyannote[3332].end 20392.77659375
transcript.pyannote[3333].speaker SPEAKER_12
transcript.pyannote[3333].start 20393.31659375
transcript.pyannote[3333].end 20395.54409375
transcript.pyannote[3334].speaker SPEAKER_12
transcript.pyannote[3334].start 20396.05034375
transcript.pyannote[3334].end 20398.21034375
transcript.pyannote[3335].speaker SPEAKER_12
transcript.pyannote[3335].start 20398.81784375
transcript.pyannote[3335].end 20400.40409375
transcript.pyannote[3336].speaker SPEAKER_12
transcript.pyannote[3336].start 20400.82596875
transcript.pyannote[3336].end 20403.91409375
transcript.pyannote[3337].speaker SPEAKER_12
transcript.pyannote[3337].start 20404.52159375
transcript.pyannote[3337].end 20407.22159375
transcript.pyannote[3338].speaker SPEAKER_12
transcript.pyannote[3338].start 20407.42409375
transcript.pyannote[3338].end 20408.08221875
transcript.pyannote[3339].speaker SPEAKER_18
transcript.pyannote[3339].start 20408.50409375
transcript.pyannote[3339].end 20409.61784375
transcript.pyannote[3340].speaker SPEAKER_18
transcript.pyannote[3340].start 20411.27159375
transcript.pyannote[3340].end 20422.67909375
transcript.pyannote[3341].speaker SPEAKER_18
transcript.pyannote[3341].start 20424.51846875
transcript.pyannote[3341].end 20430.13784375
transcript.pyannote[3342].speaker SPEAKER_18
transcript.pyannote[3342].start 20430.96471875
transcript.pyannote[3342].end 20445.64596875
transcript.pyannote[3343].speaker SPEAKER_18
transcript.pyannote[3343].start 20445.71346875
transcript.pyannote[3343].end 20446.75971875
transcript.pyannote[3344].speaker SPEAKER_18
transcript.pyannote[3344].start 20447.46846875
transcript.pyannote[3344].end 20449.79721875
transcript.pyannote[3345].speaker SPEAKER_18
transcript.pyannote[3345].start 20451.09659375
transcript.pyannote[3345].end 20451.97409375
transcript.pyannote[3346].speaker SPEAKER_25
transcript.pyannote[3346].start 20451.97409375
transcript.pyannote[3346].end 20452.02471875
transcript.pyannote[3347].speaker SPEAKER_18
transcript.pyannote[3347].start 20452.02471875
transcript.pyannote[3347].end 20453.02034375
transcript.pyannote[3348].speaker SPEAKER_25
transcript.pyannote[3348].start 20453.02034375
transcript.pyannote[3348].end 20453.08784375
transcript.pyannote[3349].speaker SPEAKER_18
transcript.pyannote[3349].start 20453.08784375
transcript.pyannote[3349].end 20453.15534375
transcript.pyannote[3350].speaker SPEAKER_25
transcript.pyannote[3350].start 20453.15534375
transcript.pyannote[3350].end 20453.25659375
transcript.pyannote[3351].speaker SPEAKER_18
transcript.pyannote[3351].start 20453.25659375
transcript.pyannote[3351].end 20453.96534375
transcript.pyannote[3352].speaker SPEAKER_25
transcript.pyannote[3352].start 20453.96534375
transcript.pyannote[3352].end 20454.03284375
transcript.pyannote[3353].speaker SPEAKER_18
transcript.pyannote[3353].start 20454.03284375
transcript.pyannote[3353].end 20454.55596875
transcript.pyannote[3354].speaker SPEAKER_25
transcript.pyannote[3354].start 20454.55596875
transcript.pyannote[3354].end 20454.58971875
transcript.pyannote[3355].speaker SPEAKER_25
transcript.pyannote[3355].start 20454.91034375
transcript.pyannote[3355].end 20455.02846875
transcript.pyannote[3356].speaker SPEAKER_18
transcript.pyannote[3356].start 20455.02846875
transcript.pyannote[3356].end 20455.97346875
transcript.pyannote[3357].speaker SPEAKER_25
transcript.pyannote[3357].start 20455.97346875
transcript.pyannote[3357].end 20456.04096875
transcript.pyannote[3358].speaker SPEAKER_18
transcript.pyannote[3358].start 20456.04096875
transcript.pyannote[3358].end 20456.53034375
transcript.pyannote[3359].speaker SPEAKER_25
transcript.pyannote[3359].start 20456.53034375
transcript.pyannote[3359].end 20457.03659375
transcript.pyannote[3360].speaker SPEAKER_18
transcript.pyannote[3360].start 20457.03659375
transcript.pyannote[3360].end 20457.08721875
transcript.pyannote[3361].speaker SPEAKER_18
transcript.pyannote[3361].start 20458.04909375
transcript.pyannote[3361].end 20466.16596875
transcript.pyannote[3362].speaker SPEAKER_18
transcript.pyannote[3362].start 20466.50346875
transcript.pyannote[3362].end 20469.81096875
transcript.pyannote[3363].speaker SPEAKER_18
transcript.pyannote[3363].start 20470.04721875
transcript.pyannote[3363].end 20486.28096875
transcript.pyannote[3364].speaker SPEAKER_18
transcript.pyannote[3364].start 20487.68159375
transcript.pyannote[3364].end 20519.28846875
transcript.pyannote[3365].speaker SPEAKER_18
transcript.pyannote[3365].start 20519.79471875
transcript.pyannote[3365].end 20549.12346875
transcript.pyannote[3366].speaker SPEAKER_18
transcript.pyannote[3366].start 20549.19096875
transcript.pyannote[3366].end 20555.18159375
transcript.pyannote[3367].speaker SPEAKER_18
transcript.pyannote[3367].start 20555.50221875
transcript.pyannote[3367].end 20577.70971875
transcript.pyannote[3368].speaker SPEAKER_18
transcript.pyannote[3368].start 20578.45221875
transcript.pyannote[3368].end 20586.58596875
transcript.pyannote[3369].speaker SPEAKER_18
transcript.pyannote[3369].start 20586.83909375
transcript.pyannote[3369].end 20594.21346875
transcript.pyannote[3370].speaker SPEAKER_18
transcript.pyannote[3370].start 20594.36534375
transcript.pyannote[3370].end 20644.73721875
transcript.pyannote[3371].speaker SPEAKER_18
transcript.pyannote[3371].start 20645.14221875
transcript.pyannote[3371].end 20651.97659375
transcript.pyannote[3372].speaker SPEAKER_10
transcript.pyannote[3372].start 20651.97659375
transcript.pyannote[3372].end 20656.02659375
transcript.pyannote[3373].speaker SPEAKER_18
transcript.pyannote[3373].start 20656.02659375
transcript.pyannote[3373].end 20656.36409375
transcript.pyannote[3374].speaker SPEAKER_10
transcript.pyannote[3374].start 20656.36409375
transcript.pyannote[3374].end 20656.61721875
transcript.pyannote[3375].speaker SPEAKER_18
transcript.pyannote[3375].start 20656.61721875
transcript.pyannote[3375].end 20656.97159375
transcript.pyannote[3376].speaker SPEAKER_10
transcript.pyannote[3376].start 20656.97159375
transcript.pyannote[3376].end 20657.03909375
transcript.pyannote[3377].speaker SPEAKER_18
transcript.pyannote[3377].start 20657.03909375
transcript.pyannote[3377].end 20657.49471875
transcript.pyannote[3378].speaker SPEAKER_10
transcript.pyannote[3378].start 20657.49471875
transcript.pyannote[3378].end 20657.84909375
transcript.pyannote[3379].speaker SPEAKER_18
transcript.pyannote[3379].start 20657.84909375
transcript.pyannote[3379].end 20666.52284375
transcript.pyannote[3380].speaker SPEAKER_18
transcript.pyannote[3380].start 20667.01221875
transcript.pyannote[3380].end 20683.02659375
transcript.pyannote[3381].speaker SPEAKER_25
transcript.pyannote[3381].start 20683.02659375
transcript.pyannote[3381].end 20683.66784375
transcript.pyannote[3382].speaker SPEAKER_10
transcript.pyannote[3382].start 20684.62971875
transcript.pyannote[3382].end 20684.64659375
transcript.pyannote[3383].speaker SPEAKER_25
transcript.pyannote[3383].start 20684.64659375
transcript.pyannote[3383].end 20689.38846875
transcript.pyannote[3384].speaker SPEAKER_14
transcript.pyannote[3384].start 20689.38846875
transcript.pyannote[3384].end 20689.65846875
transcript.pyannote[3385].speaker SPEAKER_25
transcript.pyannote[3385].start 20689.65846875
transcript.pyannote[3385].end 20689.96221875
transcript.pyannote[3386].speaker SPEAKER_14
transcript.pyannote[3386].start 20689.96221875
transcript.pyannote[3386].end 20703.02346875
transcript.pyannote[3387].speaker SPEAKER_18
transcript.pyannote[3387].start 20703.02346875
transcript.pyannote[3387].end 20748.70409375
transcript.pyannote[3388].speaker SPEAKER_18
transcript.pyannote[3388].start 20750.76284375
transcript.pyannote[3388].end 20751.15096875
transcript.pyannote[3389].speaker SPEAKER_18
transcript.pyannote[3389].start 20751.52221875
transcript.pyannote[3389].end 20754.88034375
transcript.pyannote[3390].speaker SPEAKER_18
transcript.pyannote[3390].start 20755.67346875
transcript.pyannote[3390].end 20756.60159375
transcript.pyannote[3391].speaker SPEAKER_18
transcript.pyannote[3391].start 20757.31034375
transcript.pyannote[3391].end 20768.04284375
transcript.pyannote[3392].speaker SPEAKER_18
transcript.pyannote[3392].start 20768.71784375
transcript.pyannote[3392].end 20770.08471875
transcript.pyannote[3393].speaker SPEAKER_18
transcript.pyannote[3393].start 20771.90721875
transcript.pyannote[3393].end 20773.03784375
transcript.pyannote[3394].speaker SPEAKER_18
transcript.pyannote[3394].start 20773.15596875
transcript.pyannote[3394].end 20781.01971875
transcript.pyannote[3395].speaker SPEAKER_18
transcript.pyannote[3395].start 20782.23471875
transcript.pyannote[3395].end 20805.60659375
transcript.pyannote[3396].speaker SPEAKER_18
transcript.pyannote[3396].start 20805.96096875
transcript.pyannote[3396].end 20822.63346875
transcript.pyannote[3397].speaker SPEAKER_18
transcript.pyannote[3397].start 20823.42659375
transcript.pyannote[3397].end 20825.41784375
transcript.pyannote[3398].speaker SPEAKER_18
transcript.pyannote[3398].start 20825.85659375
transcript.pyannote[3398].end 20826.17721875
transcript.pyannote[3399].speaker SPEAKER_18
transcript.pyannote[3399].start 20827.29096875
transcript.pyannote[3399].end 20836.53846875
transcript.pyannote[3400].speaker SPEAKER_08
transcript.pyannote[3400].start 20827.79721875
transcript.pyannote[3400].end 20828.91096875
transcript.pyannote[3401].speaker SPEAKER_08
transcript.pyannote[3401].start 20829.34971875
transcript.pyannote[3401].end 20830.73346875
transcript.pyannote[3402].speaker SPEAKER_08
transcript.pyannote[3402].start 20834.81721875
transcript.pyannote[3402].end 20835.34034375
transcript.pyannote[3403].speaker SPEAKER_08
transcript.pyannote[3403].start 20835.54284375
transcript.pyannote[3403].end 20835.84659375
transcript.pyannote[3404].speaker SPEAKER_12
transcript.pyannote[3404].start 20835.84659375
transcript.pyannote[3404].end 20835.93096875
transcript.pyannote[3405].speaker SPEAKER_18
transcript.pyannote[3405].start 20837.24721875
transcript.pyannote[3405].end 20839.08659375
transcript.pyannote[3406].speaker SPEAKER_18
transcript.pyannote[3406].start 20839.76159375
transcript.pyannote[3406].end 20841.38159375
transcript.pyannote[3407].speaker SPEAKER_12
transcript.pyannote[3407].start 20843.57534375
transcript.pyannote[3407].end 20844.06471875
transcript.pyannote[3408].speaker SPEAKER_12
transcript.pyannote[3408].start 20844.25034375
transcript.pyannote[3408].end 20844.38534375
transcript.pyannote[3409].speaker SPEAKER_18
transcript.pyannote[3409].start 20844.38534375
transcript.pyannote[3409].end 20844.41909375
transcript.pyannote[3410].speaker SPEAKER_12
transcript.pyannote[3410].start 20844.41909375
transcript.pyannote[3410].end 20844.43596875
transcript.pyannote[3411].speaker SPEAKER_12
transcript.pyannote[3411].start 20844.84096875
transcript.pyannote[3411].end 20846.56221875
transcript.pyannote[3412].speaker SPEAKER_18
transcript.pyannote[3412].start 20848.23284375
transcript.pyannote[3412].end 20849.56596875
transcript.pyannote[3413].speaker SPEAKER_17
transcript.pyannote[3413].start 20849.56596875
transcript.pyannote[3413].end 20849.58284375
transcript.pyannote[3414].speaker SPEAKER_17
transcript.pyannote[3414].start 20851.13534375
transcript.pyannote[3414].end 20856.73784375
transcript.pyannote[3415].speaker SPEAKER_17
transcript.pyannote[3415].start 20858.10471875
transcript.pyannote[3415].end 20859.28596875
transcript.pyannote[3416].speaker SPEAKER_17
transcript.pyannote[3416].start 20859.53909375
transcript.pyannote[3416].end 20894.36909375
transcript.pyannote[3417].speaker SPEAKER_17
transcript.pyannote[3417].start 20894.90909375
transcript.pyannote[3417].end 20897.25471875
transcript.pyannote[3418].speaker SPEAKER_12
transcript.pyannote[3418].start 20896.78221875
transcript.pyannote[3418].end 20899.16159375
transcript.pyannote[3419].speaker SPEAKER_12
transcript.pyannote[3419].start 20899.80284375
transcript.pyannote[3419].end 20901.67596875
transcript.pyannote[3420].speaker SPEAKER_12
transcript.pyannote[3420].start 20902.18221875
transcript.pyannote[3420].end 20903.95409375
transcript.pyannote[3421].speaker SPEAKER_12
transcript.pyannote[3421].start 20904.49409375
transcript.pyannote[3421].end 20905.94534375
transcript.pyannote[3422].speaker SPEAKER_12
transcript.pyannote[3422].start 20906.45159375
transcript.pyannote[3422].end 20908.07159375
transcript.pyannote[3423].speaker SPEAKER_12
transcript.pyannote[3423].start 20908.49346875
transcript.pyannote[3423].end 20909.96159375
transcript.pyannote[3424].speaker SPEAKER_12
transcript.pyannote[3424].start 20910.61971875
transcript.pyannote[3424].end 20912.05409375
transcript.pyannote[3425].speaker SPEAKER_12
transcript.pyannote[3425].start 20912.72909375
transcript.pyannote[3425].end 20914.83846875
transcript.pyannote[3426].speaker SPEAKER_12
transcript.pyannote[3426].start 20916.05346875
transcript.pyannote[3426].end 20917.18409375
transcript.pyannote[3427].speaker SPEAKER_12
transcript.pyannote[3427].start 20917.42034375
transcript.pyannote[3427].end 20918.44971875
transcript.pyannote[3428].speaker SPEAKER_12
transcript.pyannote[3428].start 20919.04034375
transcript.pyannote[3428].end 20921.58846875
transcript.pyannote[3429].speaker SPEAKER_18
transcript.pyannote[3429].start 20921.30159375
transcript.pyannote[3429].end 20922.39846875
transcript.pyannote[3430].speaker SPEAKER_12
transcript.pyannote[3430].start 20922.31409375
transcript.pyannote[3430].end 20925.53721875
transcript.pyannote[3431].speaker SPEAKER_12
transcript.pyannote[3431].start 20926.02659375
transcript.pyannote[3431].end 20926.41471875
transcript.pyannote[3432].speaker SPEAKER_12
transcript.pyannote[3432].start 20927.17409375
transcript.pyannote[3432].end 20928.94596875
transcript.pyannote[3433].speaker SPEAKER_24
transcript.pyannote[3433].start 20932.96221875
transcript.pyannote[3433].end 20933.21534375
transcript.pyannote[3434].speaker SPEAKER_17
transcript.pyannote[3434].start 20933.21534375
transcript.pyannote[3434].end 20933.23221875
transcript.pyannote[3435].speaker SPEAKER_24
transcript.pyannote[3435].start 20933.23221875
transcript.pyannote[3435].end 20933.24909375
transcript.pyannote[3436].speaker SPEAKER_12
transcript.pyannote[3436].start 20933.23221875
transcript.pyannote[3436].end 20934.19409375
transcript.pyannote[3437].speaker SPEAKER_17
transcript.pyannote[3437].start 20933.24909375
transcript.pyannote[3437].end 20938.14284375
transcript.pyannote[3438].speaker SPEAKER_24
transcript.pyannote[3438].start 20936.59034375
transcript.pyannote[3438].end 20936.65784375
transcript.pyannote[3439].speaker SPEAKER_17
transcript.pyannote[3439].start 20938.61534375
transcript.pyannote[3439].end 20943.82971875
transcript.pyannote[3440].speaker SPEAKER_17
transcript.pyannote[3440].start 20945.19659375
transcript.pyannote[3440].end 20962.67909375
transcript.pyannote[3441].speaker SPEAKER_18
transcript.pyannote[3441].start 20963.08409375
transcript.pyannote[3441].end 20963.15159375
transcript.pyannote[3442].speaker SPEAKER_17
transcript.pyannote[3442].start 20963.15159375
transcript.pyannote[3442].end 20964.09659375
transcript.pyannote[3443].speaker SPEAKER_18
transcript.pyannote[3443].start 20964.09659375
transcript.pyannote[3443].end 20964.13034375
transcript.pyannote[3444].speaker SPEAKER_12
transcript.pyannote[3444].start 20966.32409375
transcript.pyannote[3444].end 20966.86409375
transcript.pyannote[3445].speaker SPEAKER_12
transcript.pyannote[3445].start 20966.96534375
transcript.pyannote[3445].end 20967.03284375
transcript.pyannote[3446].speaker SPEAKER_12
transcript.pyannote[3446].start 20967.50534375
transcript.pyannote[3446].end 20967.52221875
transcript.pyannote[3447].speaker SPEAKER_18
transcript.pyannote[3447].start 20967.52221875
transcript.pyannote[3447].end 20975.30159375
transcript.pyannote[3448].speaker SPEAKER_18
transcript.pyannote[3448].start 20976.14534375
transcript.pyannote[3448].end 20991.26534375
transcript.pyannote[3449].speaker SPEAKER_18
transcript.pyannote[3449].start 20991.97409375
transcript.pyannote[3449].end 20996.39534375
transcript.pyannote[3450].speaker SPEAKER_06
transcript.pyannote[3450].start 20993.27346875
transcript.pyannote[3450].end 20998.43721875
transcript.pyannote[3451].speaker SPEAKER_18
transcript.pyannote[3451].start 20996.93534375
transcript.pyannote[3451].end 20998.38659375
transcript.pyannote[3452].speaker SPEAKER_06
transcript.pyannote[3452].start 21000.36096875
transcript.pyannote[3452].end 21003.11159375
transcript.pyannote[3453].speaker SPEAKER_06
transcript.pyannote[3453].start 21004.56284375
transcript.pyannote[3453].end 21006.50346875
transcript.pyannote[3454].speaker SPEAKER_18
transcript.pyannote[3454].start 21006.50346875
transcript.pyannote[3454].end 21006.52034375
transcript.pyannote[3455].speaker SPEAKER_06
transcript.pyannote[3455].start 21006.52034375
transcript.pyannote[3455].end 21006.53721875
transcript.pyannote[3456].speaker SPEAKER_06
transcript.pyannote[3456].start 21008.00534375
transcript.pyannote[3456].end 21008.02221875
transcript.pyannote[3457].speaker SPEAKER_18
transcript.pyannote[3457].start 21008.02221875
transcript.pyannote[3457].end 21008.39346875
transcript.pyannote[3458].speaker SPEAKER_18
transcript.pyannote[3458].start 21009.65909375
transcript.pyannote[3458].end 21028.49159375
transcript.pyannote[3459].speaker SPEAKER_18
transcript.pyannote[3459].start 21028.82909375
transcript.pyannote[3459].end 21030.31409375
transcript.pyannote[3460].speaker SPEAKER_18
transcript.pyannote[3460].start 21030.76971875
transcript.pyannote[3460].end 21031.42784375
transcript.pyannote[3461].speaker SPEAKER_18
transcript.pyannote[3461].start 21031.59659375
transcript.pyannote[3461].end 21032.18721875
transcript.pyannote[3462].speaker SPEAKER_18
transcript.pyannote[3462].start 21032.60909375
transcript.pyannote[3462].end 21034.97159375
transcript.pyannote[3463].speaker SPEAKER_18
transcript.pyannote[3463].start 21036.50721875
transcript.pyannote[3463].end 21037.41846875
transcript.pyannote[3464].speaker SPEAKER_18
transcript.pyannote[3464].start 21038.43096875
transcript.pyannote[3464].end 21039.32534375
transcript.pyannote[3465].speaker SPEAKER_18
transcript.pyannote[3465].start 21041.53596875
transcript.pyannote[3465].end 21043.84784375
transcript.pyannote[3466].speaker SPEAKER_18
transcript.pyannote[3466].start 21044.35409375
transcript.pyannote[3466].end 21057.49971875
transcript.pyannote[3467].speaker SPEAKER_18
transcript.pyannote[3467].start 21057.70221875
transcript.pyannote[3467].end 21059.15346875
transcript.pyannote[3468].speaker SPEAKER_18
transcript.pyannote[3468].start 21059.79471875
transcript.pyannote[3468].end 21061.66784375
transcript.pyannote[3469].speaker SPEAKER_18
transcript.pyannote[3469].start 21062.76471875
transcript.pyannote[3469].end 21064.06409375
transcript.pyannote[3470].speaker SPEAKER_18
transcript.pyannote[3470].start 21064.30034375
transcript.pyannote[3470].end 21064.84034375
transcript.pyannote[3471].speaker SPEAKER_18
transcript.pyannote[3471].start 21065.31284375
transcript.pyannote[3471].end 21065.75159375
transcript.pyannote[3472].speaker SPEAKER_18
transcript.pyannote[3472].start 21067.28721875
transcript.pyannote[3472].end 21070.76346875
transcript.pyannote[3473].speaker SPEAKER_18
transcript.pyannote[3473].start 21071.91096875
transcript.pyannote[3473].end 21078.05346875
transcript.pyannote[3474].speaker SPEAKER_18
transcript.pyannote[3474].start 21079.26846875
transcript.pyannote[3474].end 21080.80409375
transcript.pyannote[3475].speaker SPEAKER_18
transcript.pyannote[3475].start 21082.74471875
transcript.pyannote[3475].end 21084.93846875
transcript.pyannote[3476].speaker SPEAKER_31
transcript.pyannote[3476].start 21085.46159375
transcript.pyannote[3476].end 21090.94596875
transcript.pyannote[3477].speaker SPEAKER_18
transcript.pyannote[3477].start 21092.38034375
transcript.pyannote[3477].end 21092.39721875
transcript.pyannote[3478].speaker SPEAKER_11
transcript.pyannote[3478].start 21092.39721875
transcript.pyannote[3478].end 21093.89909375
transcript.pyannote[3479].speaker SPEAKER_11
transcript.pyannote[3479].start 21094.43909375
transcript.pyannote[3479].end 21121.89471875
transcript.pyannote[3480].speaker SPEAKER_11
transcript.pyannote[3480].start 21122.14784375
transcript.pyannote[3480].end 21123.51471875
transcript.pyannote[3481].speaker SPEAKER_11
transcript.pyannote[3481].start 21123.64971875
transcript.pyannote[3481].end 21171.89534375
transcript.pyannote[3482].speaker SPEAKER_11
transcript.pyannote[3482].start 21173.70096875
transcript.pyannote[3482].end 21174.00471875
transcript.pyannote[3483].speaker SPEAKER_18
transcript.pyannote[3483].start 21174.00471875
transcript.pyannote[3483].end 21174.05534375
transcript.pyannote[3484].speaker SPEAKER_18
transcript.pyannote[3484].start 21175.47284375
transcript.pyannote[3484].end 21176.89034375
transcript.pyannote[3485].speaker SPEAKER_18
transcript.pyannote[3485].start 21177.24471875
transcript.pyannote[3485].end 21197.62971875
transcript.pyannote[3486].speaker SPEAKER_18
transcript.pyannote[3486].start 21198.18659375
transcript.pyannote[3486].end 21210.35346875
transcript.pyannote[3487].speaker SPEAKER_18
transcript.pyannote[3487].start 21211.07909375
transcript.pyannote[3487].end 21211.39971875
transcript.pyannote[3488].speaker SPEAKER_18
transcript.pyannote[3488].start 21211.97346875
transcript.pyannote[3488].end 21212.81721875
transcript.pyannote[3489].speaker SPEAKER_12
transcript.pyannote[3489].start 21214.31909375
transcript.pyannote[3489].end 21216.52971875
transcript.pyannote[3490].speaker SPEAKER_12
transcript.pyannote[3490].start 21217.13721875
transcript.pyannote[3490].end 21219.28034375
transcript.pyannote[3491].speaker SPEAKER_12
transcript.pyannote[3491].start 21219.55034375
transcript.pyannote[3491].end 21220.61346875
transcript.pyannote[3492].speaker SPEAKER_12
transcript.pyannote[3492].start 21221.13659375
transcript.pyannote[3492].end 21225.20346875
transcript.pyannote[3493].speaker SPEAKER_12
transcript.pyannote[3493].start 21225.42284375
transcript.pyannote[3493].end 21228.79784375
transcript.pyannote[3494].speaker SPEAKER_12
transcript.pyannote[3494].start 21229.28721875
transcript.pyannote[3494].end 21231.31221875
transcript.pyannote[3495].speaker SPEAKER_12
transcript.pyannote[3495].start 21231.91971875
transcript.pyannote[3495].end 21235.02471875
transcript.pyannote[3496].speaker SPEAKER_12
transcript.pyannote[3496].start 21235.49721875
transcript.pyannote[3496].end 21236.56034375
transcript.pyannote[3497].speaker SPEAKER_12
transcript.pyannote[3497].start 21237.03284375
transcript.pyannote[3497].end 21238.82159375
transcript.pyannote[3498].speaker SPEAKER_18
transcript.pyannote[3498].start 21242.66909375
transcript.pyannote[3498].end 21245.85846875
transcript.pyannote[3499].speaker SPEAKER_18
transcript.pyannote[3499].start 21246.29721875
transcript.pyannote[3499].end 21247.22534375
transcript.pyannote[3500].speaker SPEAKER_18
transcript.pyannote[3500].start 21248.27159375
transcript.pyannote[3500].end 21255.71346875
transcript.pyannote[3501].speaker SPEAKER_18
transcript.pyannote[3501].start 21256.00034375
transcript.pyannote[3501].end 21263.89784375
transcript.pyannote[3502].speaker SPEAKER_18
transcript.pyannote[3502].start 21264.74159375
transcript.pyannote[3502].end 21267.52596875
transcript.pyannote[3503].speaker SPEAKER_18
transcript.pyannote[3503].start 21268.06596875
transcript.pyannote[3503].end 21280.63784375
transcript.pyannote[3504].speaker SPEAKER_12
transcript.pyannote[3504].start 21283.03409375
transcript.pyannote[3504].end 21283.06784375
transcript.pyannote[3505].speaker SPEAKER_18
transcript.pyannote[3505].start 21283.82721875
transcript.pyannote[3505].end 21284.16471875
transcript.pyannote[3506].speaker SPEAKER_12
transcript.pyannote[3506].start 21285.31221875
transcript.pyannote[3506].end 21285.54846875
transcript.pyannote[3507].speaker SPEAKER_18
transcript.pyannote[3507].start 21290.29034375
transcript.pyannote[3507].end 21295.53846875
transcript.pyannote[3508].speaker SPEAKER_18
transcript.pyannote[3508].start 21295.57221875
transcript.pyannote[3508].end 21295.65659375
transcript.pyannote[3509].speaker SPEAKER_18
transcript.pyannote[3509].start 21295.70721875
transcript.pyannote[3509].end 21297.02346875
transcript.pyannote[3510].speaker SPEAKER_18
transcript.pyannote[3510].start 21297.74909375
transcript.pyannote[3510].end 21307.55346875
transcript.pyannote[3511].speaker SPEAKER_18
transcript.pyannote[3511].start 21307.92471875
transcript.pyannote[3511].end 21309.08909375
transcript.pyannote[3512].speaker SPEAKER_18
transcript.pyannote[3512].start 21309.56159375
transcript.pyannote[3512].end 21311.46846875
transcript.pyannote[3513].speaker SPEAKER_00
transcript.pyannote[3513].start 21311.23221875
transcript.pyannote[3513].end 21312.54846875
transcript.pyannote[3514].speaker SPEAKER_18
transcript.pyannote[3514].start 21312.85221875
transcript.pyannote[3514].end 21313.03784375
transcript.pyannote[3515].speaker SPEAKER_00
transcript.pyannote[3515].start 21313.99971875
transcript.pyannote[3515].end 21315.06284375
transcript.pyannote[3516].speaker SPEAKER_18
transcript.pyannote[3516].start 21314.72534375
transcript.pyannote[3516].end 21315.45096875
transcript.pyannote[3517].speaker SPEAKER_18
transcript.pyannote[3517].start 21315.46784375
transcript.pyannote[3517].end 21317.72909375
transcript.pyannote[3518].speaker SPEAKER_18
transcript.pyannote[3518].start 21318.53909375
transcript.pyannote[3518].end 21319.58534375
transcript.pyannote[3519].speaker SPEAKER_18
transcript.pyannote[3519].start 21322.65659375
transcript.pyannote[3519].end 21324.07409375
transcript.pyannote[3520].speaker SPEAKER_18
transcript.pyannote[3520].start 21324.61409375
transcript.pyannote[3520].end 21327.11159375
transcript.pyannote[3521].speaker SPEAKER_24
transcript.pyannote[3521].start 21327.39846875
transcript.pyannote[3521].end 21327.98909375
transcript.pyannote[3522].speaker SPEAKER_18
transcript.pyannote[3522].start 21327.98909375
transcript.pyannote[3522].end 21329.10284375
transcript.pyannote[3523].speaker SPEAKER_18
transcript.pyannote[3523].start 21329.59221875
transcript.pyannote[3523].end 21335.27909375
transcript.pyannote[3524].speaker SPEAKER_18
transcript.pyannote[3524].start 21352.71096875
transcript.pyannote[3524].end 21354.26346875
transcript.pyannote[3525].speaker SPEAKER_18
transcript.pyannote[3525].start 21355.07346875
transcript.pyannote[3525].end 21355.74846875
transcript.pyannote[3526].speaker SPEAKER_18
transcript.pyannote[3526].start 21356.27159375
transcript.pyannote[3526].end 21358.78596875
transcript.pyannote[3527].speaker SPEAKER_18
transcript.pyannote[3527].start 21358.83659375
transcript.pyannote[3527].end 21359.00534375
transcript.pyannote[3528].speaker SPEAKER_24
transcript.pyannote[3528].start 21359.00534375
transcript.pyannote[3528].end 21359.14034375
transcript.pyannote[3529].speaker SPEAKER_18
transcript.pyannote[3529].start 21359.14034375
transcript.pyannote[3529].end 21379.55909375
transcript.pyannote[3530].speaker SPEAKER_18
transcript.pyannote[3530].start 21380.09909375
transcript.pyannote[3530].end 21382.03971875
transcript.pyannote[3531].speaker SPEAKER_18
transcript.pyannote[3531].start 21382.49534375
transcript.pyannote[3531].end 21384.46971875
transcript.pyannote[3532].speaker SPEAKER_18
transcript.pyannote[3532].start 21384.58784375
transcript.pyannote[3532].end 21388.75596875
transcript.pyannote[3533].speaker SPEAKER_18
transcript.pyannote[3533].start 21389.24534375
transcript.pyannote[3533].end 21390.02159375
transcript.pyannote[3534].speaker SPEAKER_18
transcript.pyannote[3534].start 21390.13971875
transcript.pyannote[3534].end 21391.48971875
transcript.pyannote[3535].speaker SPEAKER_18
transcript.pyannote[3535].start 21391.70909375
transcript.pyannote[3535].end 21393.59909375
transcript.pyannote[3536].speaker SPEAKER_18
transcript.pyannote[3536].start 21394.02096875
transcript.pyannote[3536].end 21403.90971875
transcript.pyannote[3537].speaker SPEAKER_18
transcript.pyannote[3537].start 21404.29784375
transcript.pyannote[3537].end 21413.96721875
transcript.pyannote[3538].speaker SPEAKER_25
transcript.pyannote[3538].start 21413.96721875
transcript.pyannote[3538].end 21418.70909375
transcript.pyannote[3539].speaker SPEAKER_18
transcript.pyannote[3539].start 21418.70909375
transcript.pyannote[3539].end 21418.75971875
transcript.pyannote[3540].speaker SPEAKER_18
transcript.pyannote[3540].start 21423.83909375
transcript.pyannote[3540].end 21425.40846875
transcript.pyannote[3541].speaker SPEAKER_18
transcript.pyannote[3541].start 21425.72909375
transcript.pyannote[3541].end 21427.99034375
transcript.pyannote[3542].speaker SPEAKER_18
transcript.pyannote[3542].start 21428.47971875
transcript.pyannote[3542].end 21429.17159375
transcript.pyannote[3543].speaker SPEAKER_18
transcript.pyannote[3543].start 21429.96471875
transcript.pyannote[3543].end 21442.51971875
transcript.pyannote[3544].speaker SPEAKER_18
transcript.pyannote[3544].start 21444.29159375
transcript.pyannote[3544].end 21450.40034375
transcript.pyannote[3545].speaker SPEAKER_00
transcript.pyannote[3545].start 21446.28284375
transcript.pyannote[3545].end 21446.90721875
transcript.pyannote[3546].speaker SPEAKER_18
transcript.pyannote[3546].start 21451.07534375
transcript.pyannote[3546].end 21451.91909375
transcript.pyannote[3547].speaker SPEAKER_18
transcript.pyannote[3547].start 21451.96971875
transcript.pyannote[3547].end 21451.98659375
transcript.pyannote[3548].speaker SPEAKER_18
transcript.pyannote[3548].start 21452.17221875
transcript.pyannote[3548].end 21454.23096875
transcript.pyannote[3549].speaker SPEAKER_18
transcript.pyannote[3549].start 21455.14221875
transcript.pyannote[3549].end 21457.50471875
transcript.pyannote[3550].speaker SPEAKER_18
transcript.pyannote[3550].start 21458.24721875
transcript.pyannote[3550].end 21459.59721875
transcript.pyannote[3551].speaker SPEAKER_13
transcript.pyannote[3551].start 21470.36346875
transcript.pyannote[3551].end 21470.38034375
transcript.pyannote[3552].speaker SPEAKER_08
transcript.pyannote[3552].start 21470.38034375
transcript.pyannote[3552].end 21471.52784375
transcript.pyannote[3553].speaker SPEAKER_13
transcript.pyannote[3553].start 21470.41409375
transcript.pyannote[3553].end 21471.49409375
transcript.pyannote[3554].speaker SPEAKER_13
transcript.pyannote[3554].start 21471.52784375
transcript.pyannote[3554].end 21478.85159375
transcript.pyannote[3555].speaker SPEAKER_24
transcript.pyannote[3555].start 21478.19346875
transcript.pyannote[3555].end 21478.81784375
transcript.pyannote[3556].speaker SPEAKER_24
transcript.pyannote[3556].start 21478.85159375
transcript.pyannote[3556].end 21479.74596875
transcript.pyannote[3557].speaker SPEAKER_24
transcript.pyannote[3557].start 21479.96534375
transcript.pyannote[3557].end 21480.03284375
transcript.pyannote[3558].speaker SPEAKER_24
transcript.pyannote[3558].start 21480.65721875
transcript.pyannote[3558].end 21481.33221875
transcript.pyannote[3559].speaker SPEAKER_40
transcript.pyannote[3559].start 21492.16596875
transcript.pyannote[3559].end 21493.38096875
transcript.pyannote[3560].speaker SPEAKER_22
transcript.pyannote[3560].start 21499.87784375
transcript.pyannote[3560].end 21501.32909375
transcript.pyannote[3561].speaker SPEAKER_12
transcript.pyannote[3561].start 21545.44034375
transcript.pyannote[3561].end 21545.91284375
transcript.pyannote[3562].speaker SPEAKER_40
transcript.pyannote[3562].start 21582.97034375
transcript.pyannote[3562].end 21588.10034375
transcript.pyannote[3563].speaker SPEAKER_33
transcript.pyannote[3563].start 21586.75034375
transcript.pyannote[3563].end 21589.53471875
transcript.pyannote[3564].speaker SPEAKER_01
transcript.pyannote[3564].start 21589.04534375
transcript.pyannote[3564].end 21597.07784375
transcript.pyannote[3565].speaker SPEAKER_33
transcript.pyannote[3565].start 21597.07784375
transcript.pyannote[3565].end 21597.12846875
transcript.pyannote[3566].speaker SPEAKER_01
transcript.pyannote[3566].start 21597.12846875
transcript.pyannote[3566].end 21597.14534375
transcript.pyannote[3567].speaker SPEAKER_33
transcript.pyannote[3567].start 21597.14534375
transcript.pyannote[3567].end 21597.28034375
transcript.pyannote[3568].speaker SPEAKER_01
transcript.pyannote[3568].start 21597.28034375
transcript.pyannote[3568].end 21597.38159375
transcript.pyannote[3569].speaker SPEAKER_33
transcript.pyannote[3569].start 21597.38159375
transcript.pyannote[3569].end 21605.78534375
transcript.pyannote[3570].speaker SPEAKER_33
transcript.pyannote[3570].start 21606.54471875
transcript.pyannote[3570].end 21608.26596875
transcript.pyannote[3571].speaker SPEAKER_25
transcript.pyannote[3571].start 21607.65846875
transcript.pyannote[3571].end 21608.38409375
transcript.pyannote[3572].speaker SPEAKER_33
transcript.pyannote[3572].start 21608.38409375
transcript.pyannote[3572].end 21608.77221875
transcript.pyannote[3573].speaker SPEAKER_25
transcript.pyannote[3573].start 21608.77221875
transcript.pyannote[3573].end 21608.87346875
transcript.pyannote[3574].speaker SPEAKER_33
transcript.pyannote[3574].start 21608.87346875
transcript.pyannote[3574].end 21608.89034375
transcript.pyannote[3575].speaker SPEAKER_25
transcript.pyannote[3575].start 21608.89034375
transcript.pyannote[3575].end 21610.03784375
transcript.pyannote[3576].speaker SPEAKER_40
transcript.pyannote[3576].start 21610.03784375
transcript.pyannote[3576].end 21621.76596875
transcript.pyannote[3577].speaker SPEAKER_25
transcript.pyannote[3577].start 21611.67471875
transcript.pyannote[3577].end 21611.74221875
transcript.pyannote[3578].speaker SPEAKER_24
transcript.pyannote[3578].start 21617.80034375
transcript.pyannote[3578].end 21617.96909375
transcript.pyannote[3579].speaker SPEAKER_02
transcript.pyannote[3579].start 21622.13721875
transcript.pyannote[3579].end 21622.23846875
transcript.pyannote[3580].speaker SPEAKER_24
transcript.pyannote[3580].start 21626.59221875
transcript.pyannote[3580].end 21626.65971875
transcript.pyannote[3581].speaker SPEAKER_33
transcript.pyannote[3581].start 21631.13159375
transcript.pyannote[3581].end 21634.52346875
transcript.pyannote[3582].speaker SPEAKER_01
transcript.pyannote[3582].start 21631.40159375
transcript.pyannote[3582].end 21631.73909375
transcript.pyannote[3583].speaker SPEAKER_21
transcript.pyannote[3583].start 21650.97659375
transcript.pyannote[3583].end 21654.63846875
transcript.pyannote[3584].speaker SPEAKER_33
transcript.pyannote[3584].start 21656.39346875
transcript.pyannote[3584].end 21657.91221875
transcript.pyannote[3585].speaker SPEAKER_18
transcript.pyannote[3585].start 21690.98721875
transcript.pyannote[3585].end 21692.40471875
transcript.pyannote[3586].speaker SPEAKER_18
transcript.pyannote[3586].start 21697.65284375
transcript.pyannote[3586].end 21700.31909375
transcript.pyannote[3587].speaker SPEAKER_18
transcript.pyannote[3587].start 21701.43284375
transcript.pyannote[3587].end 21702.49596875
transcript.pyannote[3588].speaker SPEAKER_18
transcript.pyannote[3588].start 21703.32284375
transcript.pyannote[3588].end 21712.67159375
transcript.pyannote[3589].speaker SPEAKER_18
transcript.pyannote[3589].start 21717.91971875
transcript.pyannote[3589].end 21719.10096875
transcript.pyannote[3590].speaker SPEAKER_18
transcript.pyannote[3590].start 21720.73784375
transcript.pyannote[3590].end 21721.51409375
transcript.pyannote[3591].speaker SPEAKER_18
transcript.pyannote[3591].start 21721.83471875
transcript.pyannote[3591].end 21724.61909375
transcript.pyannote[3592].speaker SPEAKER_18
transcript.pyannote[3592].start 21725.83409375
transcript.pyannote[3592].end 21726.17159375
transcript.pyannote[3593].speaker SPEAKER_18
transcript.pyannote[3593].start 21729.73221875
transcript.pyannote[3593].end 21730.49159375
transcript.pyannote[3594].speaker SPEAKER_18
transcript.pyannote[3594].start 21730.93034375
transcript.pyannote[3594].end 21731.31846875
transcript.pyannote[3595].speaker SPEAKER_18
transcript.pyannote[3595].start 21732.75284375
transcript.pyannote[3595].end 21735.13221875
transcript.pyannote[3596].speaker SPEAKER_18
transcript.pyannote[3596].start 21736.49909375
transcript.pyannote[3596].end 21738.03471875
transcript.pyannote[3597].speaker SPEAKER_18
transcript.pyannote[3597].start 21738.23721875
transcript.pyannote[3597].end 21738.81096875
transcript.pyannote[3598].speaker SPEAKER_18
transcript.pyannote[3598].start 21739.78971875
transcript.pyannote[3598].end 21740.19471875
transcript.pyannote[3599].speaker SPEAKER_18
transcript.pyannote[3599].start 21740.39721875
transcript.pyannote[3599].end 21741.73034375
transcript.pyannote[3600].speaker SPEAKER_18
transcript.pyannote[3600].start 21742.89471875
transcript.pyannote[3600].end 21749.61096875
transcript.pyannote[3601].speaker SPEAKER_00
transcript.pyannote[3601].start 21744.07596875
transcript.pyannote[3601].end 21744.53159375
transcript.pyannote[3602].speaker SPEAKER_24
transcript.pyannote[3602].start 21746.05034375
transcript.pyannote[3602].end 21746.26971875
transcript.pyannote[3603].speaker SPEAKER_00
transcript.pyannote[3603].start 21746.26971875
transcript.pyannote[3603].end 21746.28659375
transcript.pyannote[3604].speaker SPEAKER_00
transcript.pyannote[3604].start 21747.41721875
transcript.pyannote[3604].end 21747.50159375
transcript.pyannote[3605].speaker SPEAKER_24
transcript.pyannote[3605].start 21747.50159375
transcript.pyannote[3605].end 21747.92346875
transcript.pyannote[3606].speaker SPEAKER_18
transcript.pyannote[3606].start 21750.31971875
transcript.pyannote[3606].end 21751.70346875
transcript.pyannote[3607].speaker SPEAKER_18
transcript.pyannote[3607].start 21752.37846875
transcript.pyannote[3607].end 21754.36971875
transcript.pyannote[3608].speaker SPEAKER_18
transcript.pyannote[3608].start 21757.32284375
transcript.pyannote[3608].end 21761.52471875
transcript.pyannote[3609].speaker SPEAKER_18
transcript.pyannote[3609].start 21762.67221875
transcript.pyannote[3609].end 21764.07284375
transcript.pyannote[3610].speaker SPEAKER_18
transcript.pyannote[3610].start 21764.81534375
transcript.pyannote[3610].end 21770.02971875
transcript.pyannote[3611].speaker SPEAKER_18
transcript.pyannote[3611].start 21770.28284375
transcript.pyannote[3611].end 21771.32909375
transcript.pyannote[3612].speaker SPEAKER_18
transcript.pyannote[3612].start 21774.09659375
transcript.pyannote[3612].end 21776.50971875
transcript.pyannote[3613].speaker SPEAKER_18
transcript.pyannote[3613].start 21777.06659375
transcript.pyannote[3613].end 21777.97784375
transcript.pyannote[3614].speaker SPEAKER_18
transcript.pyannote[3614].start 21779.42909375
transcript.pyannote[3614].end 21781.45409375
transcript.pyannote[3615].speaker SPEAKER_18
transcript.pyannote[3615].start 21782.28096875
transcript.pyannote[3615].end 21783.00659375
transcript.pyannote[3616].speaker SPEAKER_18
transcript.pyannote[3616].start 21784.05284375
transcript.pyannote[3616].end 21784.62659375
transcript.pyannote[3617].speaker SPEAKER_18
transcript.pyannote[3617].start 21785.85846875
transcript.pyannote[3617].end 21786.51659375
transcript.pyannote[3618].speaker SPEAKER_39
transcript.pyannote[3618].start 21786.51659375
transcript.pyannote[3618].end 21786.78659375
transcript.pyannote[3619].speaker SPEAKER_18
transcript.pyannote[3619].start 21788.06909375
transcript.pyannote[3619].end 21789.35159375
transcript.pyannote[3620].speaker SPEAKER_18
transcript.pyannote[3620].start 21789.99284375
transcript.pyannote[3620].end 21792.97971875
transcript.pyannote[3621].speaker SPEAKER_18
transcript.pyannote[3621].start 21796.43909375
transcript.pyannote[3621].end 21801.01221875
transcript.pyannote[3622].speaker SPEAKER_18
transcript.pyannote[3622].start 21803.83034375
transcript.pyannote[3622].end 21805.16346875
transcript.pyannote[3623].speaker SPEAKER_18
transcript.pyannote[3623].start 21806.44596875
transcript.pyannote[3623].end 21807.25596875
transcript.pyannote[3624].speaker SPEAKER_18
transcript.pyannote[3624].start 21811.35659375
transcript.pyannote[3624].end 21812.85846875
transcript.pyannote[3625].speaker SPEAKER_18
transcript.pyannote[3625].start 21813.39846875
transcript.pyannote[3625].end 21815.96346875
transcript.pyannote[3626].speaker SPEAKER_06
transcript.pyannote[3626].start 21813.80346875
transcript.pyannote[3626].end 21816.23346875
transcript.pyannote[3627].speaker SPEAKER_08
transcript.pyannote[3627].start 21815.96346875
transcript.pyannote[3627].end 21816.16596875
transcript.pyannote[3628].speaker SPEAKER_08
transcript.pyannote[3628].start 21816.23346875
transcript.pyannote[3628].end 21816.26721875
transcript.pyannote[3629].speaker SPEAKER_06
transcript.pyannote[3629].start 21816.90846875
transcript.pyannote[3629].end 21826.61159375
transcript.pyannote[3630].speaker SPEAKER_06
transcript.pyannote[3630].start 21827.13471875
transcript.pyannote[3630].end 21837.05721875
transcript.pyannote[3631].speaker SPEAKER_06
transcript.pyannote[3631].start 21837.88409375
transcript.pyannote[3631].end 21838.40721875
transcript.pyannote[3632].speaker SPEAKER_06
transcript.pyannote[3632].start 21838.49159375
transcript.pyannote[3632].end 21839.97659375
transcript.pyannote[3633].speaker SPEAKER_06
transcript.pyannote[3633].start 21841.17471875
transcript.pyannote[3633].end 21841.57971875
transcript.pyannote[3634].speaker SPEAKER_06
transcript.pyannote[3634].start 21841.91721875
transcript.pyannote[3634].end 21842.84534375
transcript.pyannote[3635].speaker SPEAKER_10
transcript.pyannote[3635].start 21841.96784375
transcript.pyannote[3635].end 21842.71034375
transcript.pyannote[3636].speaker SPEAKER_10
transcript.pyannote[3636].start 21842.84534375
transcript.pyannote[3636].end 21849.54471875
transcript.pyannote[3637].speaker SPEAKER_06
transcript.pyannote[3637].start 21849.13971875
transcript.pyannote[3637].end 21853.13909375
transcript.pyannote[3638].speaker SPEAKER_06
transcript.pyannote[3638].start 21853.56096875
transcript.pyannote[3638].end 21857.34096875
transcript.pyannote[3639].speaker SPEAKER_06
transcript.pyannote[3639].start 21857.62784375
transcript.pyannote[3639].end 21872.83221875
transcript.pyannote[3640].speaker SPEAKER_00
transcript.pyannote[3640].start 21866.23409375
transcript.pyannote[3640].end 21867.06096875
transcript.pyannote[3641].speaker SPEAKER_12
transcript.pyannote[3641].start 21868.02284375
transcript.pyannote[3641].end 21869.35596875
transcript.pyannote[3642].speaker SPEAKER_18
transcript.pyannote[3642].start 21871.04346875
transcript.pyannote[3642].end 21871.19534375
transcript.pyannote[3643].speaker SPEAKER_06
transcript.pyannote[3643].start 21873.38909375
transcript.pyannote[3643].end 21873.96284375
transcript.pyannote[3644].speaker SPEAKER_18
transcript.pyannote[3644].start 21873.96284375
transcript.pyannote[3644].end 21877.43909375
transcript.pyannote[3645].speaker SPEAKER_12
transcript.pyannote[3645].start 21877.72596875
transcript.pyannote[3645].end 21878.73846875
transcript.pyannote[3646].speaker SPEAKER_12
transcript.pyannote[3646].start 21879.58221875
transcript.pyannote[3646].end 21881.65784375
transcript.pyannote[3647].speaker SPEAKER_18
transcript.pyannote[3647].start 21882.33284375
transcript.pyannote[3647].end 21882.58596875
transcript.pyannote[3648].speaker SPEAKER_12
transcript.pyannote[3648].start 21882.72096875
transcript.pyannote[3648].end 21883.93596875
transcript.pyannote[3649].speaker SPEAKER_12
transcript.pyannote[3649].start 21884.17221875
transcript.pyannote[3649].end 21884.69534375
transcript.pyannote[3650].speaker SPEAKER_18
transcript.pyannote[3650].start 21885.37034375
transcript.pyannote[3650].end 21885.67409375
transcript.pyannote[3651].speaker SPEAKER_12
transcript.pyannote[3651].start 21885.87659375
transcript.pyannote[3651].end 21887.31096875
transcript.pyannote[3652].speaker SPEAKER_18
transcript.pyannote[3652].start 21889.21784375
transcript.pyannote[3652].end 21892.52534375
transcript.pyannote[3653].speaker SPEAKER_18
transcript.pyannote[3653].start 21895.46159375
transcript.pyannote[3653].end 21898.39784375
transcript.pyannote[3654].speaker SPEAKER_18
transcript.pyannote[3654].start 21899.64659375
transcript.pyannote[3654].end 21900.20346875
transcript.pyannote[3655].speaker SPEAKER_18
transcript.pyannote[3655].start 21907.30784375
transcript.pyannote[3655].end 21908.50596875
transcript.pyannote[3656].speaker SPEAKER_24
transcript.pyannote[3656].start 21908.50596875
transcript.pyannote[3656].end 21908.52284375
transcript.pyannote[3657].speaker SPEAKER_18
transcript.pyannote[3657].start 21910.46346875
transcript.pyannote[3657].end 21911.67846875
transcript.pyannote[3658].speaker SPEAKER_36
transcript.pyannote[3658].start 21912.94409375
transcript.pyannote[3658].end 21920.18346875
transcript.pyannote[3659].speaker SPEAKER_18
transcript.pyannote[3659].start 21916.47096875
transcript.pyannote[3659].end 21917.14596875
transcript.pyannote[3660].speaker SPEAKER_18
transcript.pyannote[3660].start 21917.39909375
transcript.pyannote[3660].end 21919.28909375
transcript.pyannote[3661].speaker SPEAKER_18
transcript.pyannote[3661].start 21919.86284375
transcript.pyannote[3661].end 21920.65596875
transcript.pyannote[3662].speaker SPEAKER_18
transcript.pyannote[3662].start 21921.26346875
transcript.pyannote[3662].end 21922.83284375
transcript.pyannote[3663].speaker SPEAKER_39
transcript.pyannote[3663].start 21930.94971875
transcript.pyannote[3663].end 21931.33784375
transcript.pyannote[3664].speaker SPEAKER_18
transcript.pyannote[3664].start 21933.29534375
transcript.pyannote[3664].end 21938.03721875
transcript.pyannote[3665].speaker SPEAKER_18
transcript.pyannote[3665].start 21940.28159375
transcript.pyannote[3665].end 21940.29846875
transcript.pyannote[3666].speaker SPEAKER_11
transcript.pyannote[3666].start 21940.29846875
transcript.pyannote[3666].end 21941.64846875
transcript.pyannote[3667].speaker SPEAKER_11
transcript.pyannote[3667].start 21943.01534375
transcript.pyannote[3667].end 21952.11096875
transcript.pyannote[3668].speaker SPEAKER_11
transcript.pyannote[3668].start 21953.12346875
transcript.pyannote[3668].end 21969.71159375
transcript.pyannote[3669].speaker SPEAKER_11
transcript.pyannote[3669].start 21969.93096875
transcript.pyannote[3669].end 21974.25096875
transcript.pyannote[3670].speaker SPEAKER_11
transcript.pyannote[3670].start 21974.26784375
transcript.pyannote[3670].end 21983.27909375
transcript.pyannote[3671].speaker SPEAKER_18
transcript.pyannote[3671].start 21984.59534375
transcript.pyannote[3671].end 21985.55721875
transcript.pyannote[3672].speaker SPEAKER_18
transcript.pyannote[3672].start 21987.37971875
transcript.pyannote[3672].end 21989.32034375
transcript.pyannote[3673].speaker SPEAKER_18
transcript.pyannote[3673].start 21994.12971875
transcript.pyannote[3673].end 21998.33159375
transcript.pyannote[3674].speaker SPEAKER_18
transcript.pyannote[3674].start 21998.80409375
transcript.pyannote[3674].end 22001.89221875
transcript.pyannote[3675].speaker SPEAKER_18
transcript.pyannote[3675].start 22002.11159375
transcript.pyannote[3675].end 22005.13221875
transcript.pyannote[3676].speaker SPEAKER_18
transcript.pyannote[3676].start 22005.52034375
transcript.pyannote[3676].end 22005.75659375
transcript.pyannote[3677].speaker SPEAKER_18
transcript.pyannote[3677].start 22006.53284375
transcript.pyannote[3677].end 22007.41034375
transcript.pyannote[3678].speaker SPEAKER_18
transcript.pyannote[3678].start 22008.60846875
transcript.pyannote[3678].end 22009.92471875
transcript.pyannote[3679].speaker SPEAKER_18
transcript.pyannote[3679].start 22010.43096875
transcript.pyannote[3679].end 22012.70909375
transcript.pyannote[3680].speaker SPEAKER_18
transcript.pyannote[3680].start 22014.09284375
transcript.pyannote[3680].end 22016.84346875
transcript.pyannote[3681].speaker SPEAKER_18
transcript.pyannote[3681].start 22018.12596875
transcript.pyannote[3681].end 22018.73346875
transcript.pyannote[3682].speaker SPEAKER_18
transcript.pyannote[3682].start 22019.25659375
transcript.pyannote[3682].end 22019.83034375
transcript.pyannote[3683].speaker SPEAKER_18
transcript.pyannote[3683].start 22021.70346875
transcript.pyannote[3683].end 22022.09159375
transcript.pyannote[3684].speaker SPEAKER_18
transcript.pyannote[3684].start 22022.34471875
transcript.pyannote[3684].end 22024.09971875
transcript.pyannote[3685].speaker SPEAKER_12
transcript.pyannote[3685].start 22022.95221875
transcript.pyannote[3685].end 22027.52534375
transcript.pyannote[3686].speaker SPEAKER_18
transcript.pyannote[3686].start 22025.36534375
transcript.pyannote[3686].end 22025.51721875
transcript.pyannote[3687].speaker SPEAKER_12
transcript.pyannote[3687].start 22028.38596875
transcript.pyannote[3687].end 22030.24221875
transcript.pyannote[3688].speaker SPEAKER_12
transcript.pyannote[3688].start 22030.96784375
transcript.pyannote[3688].end 22032.58784375
transcript.pyannote[3689].speaker SPEAKER_18
transcript.pyannote[3689].start 22032.36846875
transcript.pyannote[3689].end 22034.51159375
transcript.pyannote[3690].speaker SPEAKER_18
transcript.pyannote[3690].start 22035.38909375
transcript.pyannote[3690].end 22037.24534375
transcript.pyannote[3691].speaker SPEAKER_18
transcript.pyannote[3691].start 22037.65034375
transcript.pyannote[3691].end 22040.02971875
transcript.pyannote[3692].speaker SPEAKER_18
transcript.pyannote[3692].start 22040.36721875
transcript.pyannote[3692].end 22042.18971875
transcript.pyannote[3693].speaker SPEAKER_18
transcript.pyannote[3693].start 22042.66221875
transcript.pyannote[3693].end 22053.42846875
transcript.pyannote[3694].speaker SPEAKER_18
transcript.pyannote[3694].start 22053.68159375
transcript.pyannote[3694].end 22055.70659375
transcript.pyannote[3695].speaker SPEAKER_18
transcript.pyannote[3695].start 22056.24659375
transcript.pyannote[3695].end 22057.49534375
transcript.pyannote[3696].speaker SPEAKER_18
transcript.pyannote[3696].start 22057.66409375
transcript.pyannote[3696].end 22059.16596875
transcript.pyannote[3697].speaker SPEAKER_18
transcript.pyannote[3697].start 22059.23346875
transcript.pyannote[3697].end 22059.92534375
transcript.pyannote[3698].speaker SPEAKER_18
transcript.pyannote[3698].start 22060.11096875
transcript.pyannote[3698].end 22065.54471875
transcript.pyannote[3699].speaker SPEAKER_18
transcript.pyannote[3699].start 22066.27034375
transcript.pyannote[3699].end 22067.23221875
transcript.pyannote[3700].speaker SPEAKER_18
transcript.pyannote[3700].start 22067.33346875
transcript.pyannote[3700].end 22069.30784375
transcript.pyannote[3701].speaker SPEAKER_18
transcript.pyannote[3701].start 22069.59471875
transcript.pyannote[3701].end 22075.87221875
transcript.pyannote[3702].speaker SPEAKER_18
transcript.pyannote[3702].start 22077.27284375
transcript.pyannote[3702].end 22081.44096875
transcript.pyannote[3703].speaker SPEAKER_18
transcript.pyannote[3703].start 22081.81221875
transcript.pyannote[3703].end 22083.61784375
transcript.pyannote[3704].speaker SPEAKER_18
transcript.pyannote[3704].start 22084.09034375
transcript.pyannote[3704].end 22084.81596875
transcript.pyannote[3705].speaker SPEAKER_18
transcript.pyannote[3705].start 22085.81159375
transcript.pyannote[3705].end 22086.09846875
transcript.pyannote[3706].speaker SPEAKER_18
transcript.pyannote[3706].start 22086.52034375
transcript.pyannote[3706].end 22086.92534375
transcript.pyannote[3707].speaker SPEAKER_18
transcript.pyannote[3707].start 22087.51596875
transcript.pyannote[3707].end 22088.76471875
transcript.pyannote[3708].speaker SPEAKER_18
transcript.pyannote[3708].start 22089.22034375
transcript.pyannote[3708].end 22106.97284375
transcript.pyannote[3709].speaker SPEAKER_08
transcript.pyannote[3709].start 22091.65034375
transcript.pyannote[3709].end 22091.90346875
transcript.pyannote[3710].speaker SPEAKER_25
transcript.pyannote[3710].start 22106.97284375
transcript.pyannote[3710].end 22111.42784375
transcript.pyannote[3711].speaker SPEAKER_05
transcript.pyannote[3711].start 22115.73096875
transcript.pyannote[3711].end 22116.91221875
transcript.pyannote[3712].speaker SPEAKER_05
transcript.pyannote[3712].start 22119.51096875
transcript.pyannote[3712].end 22128.80909375
transcript.pyannote[3713].speaker SPEAKER_05
transcript.pyannote[3713].start 22129.29846875
transcript.pyannote[3713].end 22140.31784375
transcript.pyannote[3714].speaker SPEAKER_05
transcript.pyannote[3714].start 22141.41471875
transcript.pyannote[3714].end 22146.71346875
transcript.pyannote[3715].speaker SPEAKER_05
transcript.pyannote[3715].start 22147.03409375
transcript.pyannote[3715].end 22150.74659375
transcript.pyannote[3716].speaker SPEAKER_05
transcript.pyannote[3716].start 22151.21909375
transcript.pyannote[3716].end 22168.26284375
transcript.pyannote[3717].speaker SPEAKER_05
transcript.pyannote[3717].start 22168.44846875
transcript.pyannote[3717].end 22172.75159375
transcript.pyannote[3718].speaker SPEAKER_18
transcript.pyannote[3718].start 22172.75159375
transcript.pyannote[3718].end 22175.24909375
transcript.pyannote[3719].speaker SPEAKER_18
transcript.pyannote[3719].start 22175.45159375
transcript.pyannote[3719].end 22181.56034375
transcript.pyannote[3720].speaker SPEAKER_18
transcript.pyannote[3720].start 22181.61096875
transcript.pyannote[3720].end 22214.97284375
transcript.pyannote[3721].speaker SPEAKER_25
transcript.pyannote[3721].start 22214.97284375
transcript.pyannote[3721].end 22220.03534375
transcript.pyannote[3722].speaker SPEAKER_18
transcript.pyannote[3722].start 22220.03534375
transcript.pyannote[3722].end 22224.30471875
transcript.pyannote[3723].speaker SPEAKER_18
transcript.pyannote[3723].start 22224.69284375
transcript.pyannote[3723].end 22271.52096875
transcript.pyannote[3724].speaker SPEAKER_18
transcript.pyannote[3724].start 22274.13659375
transcript.pyannote[3724].end 22274.54159375
transcript.pyannote[3725].speaker SPEAKER_18
transcript.pyannote[3725].start 22274.99721875
transcript.pyannote[3725].end 22275.52034375
transcript.pyannote[3726].speaker SPEAKER_18
transcript.pyannote[3726].start 22276.54971875
transcript.pyannote[3726].end 22277.73096875
transcript.pyannote[3727].speaker SPEAKER_18
transcript.pyannote[3727].start 22279.53659375
transcript.pyannote[3727].end 22282.75971875
transcript.pyannote[3728].speaker SPEAKER_18
transcript.pyannote[3728].start 22283.04659375
transcript.pyannote[3728].end 22286.84346875
transcript.pyannote[3729].speaker SPEAKER_18
transcript.pyannote[3729].start 22287.34971875
transcript.pyannote[3729].end 22301.49096875
transcript.pyannote[3730].speaker SPEAKER_18
transcript.pyannote[3730].start 22301.91284375
transcript.pyannote[3730].end 22329.99284375
transcript.pyannote[3731].speaker SPEAKER_18
transcript.pyannote[3731].start 22330.31346875
transcript.pyannote[3731].end 22330.93784375
transcript.pyannote[3732].speaker SPEAKER_18
transcript.pyannote[3732].start 22332.45659375
transcript.pyannote[3732].end 22344.97784375
transcript.pyannote[3733].speaker SPEAKER_25
transcript.pyannote[3733].start 22344.97784375
transcript.pyannote[3733].end 22352.03159375
transcript.pyannote[3734].speaker SPEAKER_18
transcript.pyannote[3734].start 22352.03159375
transcript.pyannote[3734].end 22387.50284375
transcript.pyannote[3735].speaker SPEAKER_06
transcript.pyannote[3735].start 22388.58284375
transcript.pyannote[3735].end 22393.61159375
transcript.pyannote[3736].speaker SPEAKER_06
transcript.pyannote[3736].start 22394.37096875
transcript.pyannote[3736].end 22397.20596875
transcript.pyannote[3737].speaker SPEAKER_06
transcript.pyannote[3737].start 22397.66159375
transcript.pyannote[3737].end 22401.05346875
transcript.pyannote[3738].speaker SPEAKER_06
transcript.pyannote[3738].start 22401.15471875
transcript.pyannote[3738].end 22463.92971875
transcript.pyannote[3739].speaker SPEAKER_18
transcript.pyannote[3739].start 22465.95471875
transcript.pyannote[3739].end 22491.72284375
transcript.pyannote[3740].speaker SPEAKER_18
transcript.pyannote[3740].start 22492.98846875
transcript.pyannote[3740].end 22495.26659375
transcript.pyannote[3741].speaker SPEAKER_18
transcript.pyannote[3741].start 22495.41846875
transcript.pyannote[3741].end 22499.09721875
transcript.pyannote[3742].speaker SPEAKER_25
transcript.pyannote[3742].start 22500.17721875
transcript.pyannote[3742].end 22500.71721875
transcript.pyannote[3743].speaker SPEAKER_25
transcript.pyannote[3743].start 22501.05471875
transcript.pyannote[3743].end 22501.08846875
transcript.pyannote[3744].speaker SPEAKER_18
transcript.pyannote[3744].start 22501.08846875
transcript.pyannote[3744].end 22501.89846875
transcript.pyannote[3745].speaker SPEAKER_25
transcript.pyannote[3745].start 22501.13909375
transcript.pyannote[3745].end 22505.86409375
transcript.pyannote[3746].speaker SPEAKER_18
transcript.pyannote[3746].start 22502.37096875
transcript.pyannote[3746].end 22502.40471875
transcript.pyannote[3747].speaker SPEAKER_18
transcript.pyannote[3747].start 22502.72534375
transcript.pyannote[3747].end 22505.57721875
transcript.pyannote[3748].speaker SPEAKER_15
transcript.pyannote[3748].start 22505.57721875
transcript.pyannote[3748].end 22505.61096875
transcript.pyannote[3749].speaker SPEAKER_25
transcript.pyannote[3749].start 22505.96534375
transcript.pyannote[3749].end 22506.03284375
transcript.pyannote[3750].speaker SPEAKER_25
transcript.pyannote[3750].start 22506.75846875
transcript.pyannote[3750].end 22508.00721875
transcript.pyannote[3751].speaker SPEAKER_40
transcript.pyannote[3751].start 22513.57596875
transcript.pyannote[3751].end 22514.28471875
transcript.pyannote[3752].speaker SPEAKER_18
transcript.pyannote[3752].start 22520.51159375
transcript.pyannote[3752].end 22522.18221875
transcript.pyannote[3753].speaker SPEAKER_18
transcript.pyannote[3753].start 22522.70534375
transcript.pyannote[3753].end 22528.66221875
transcript.pyannote[3754].speaker SPEAKER_18
transcript.pyannote[3754].start 22529.03346875
transcript.pyannote[3754].end 22534.90596875
transcript.pyannote[3755].speaker SPEAKER_18
transcript.pyannote[3755].start 22536.44159375
transcript.pyannote[3755].end 22538.46659375
transcript.pyannote[3756].speaker SPEAKER_25
transcript.pyannote[3756].start 22537.79159375
transcript.pyannote[3756].end 22538.43284375
transcript.pyannote[3757].speaker SPEAKER_25
transcript.pyannote[3757].start 22538.46659375
transcript.pyannote[3757].end 22539.86721875
transcript.pyannote[3758].speaker SPEAKER_18
transcript.pyannote[3758].start 22539.86721875
transcript.pyannote[3758].end 22539.88409375
transcript.pyannote[3759].speaker SPEAKER_18
transcript.pyannote[3759].start 22540.64346875
transcript.pyannote[3759].end 22541.72346875
transcript.pyannote[3760].speaker SPEAKER_18
transcript.pyannote[3760].start 22542.87096875
transcript.pyannote[3760].end 22545.90846875
transcript.pyannote[3761].speaker SPEAKER_18
transcript.pyannote[3761].start 22546.53284375
transcript.pyannote[3761].end 22554.19409375
transcript.pyannote[3762].speaker SPEAKER_18
transcript.pyannote[3762].start 22555.30784375
transcript.pyannote[3762].end 22563.71159375
transcript.pyannote[3763].speaker SPEAKER_26
transcript.pyannote[3763].start 22569.66846875
transcript.pyannote[3763].end 22573.60034375
transcript.pyannote[3764].speaker SPEAKER_18
transcript.pyannote[3764].start 22572.77346875
transcript.pyannote[3764].end 22575.43971875
transcript.pyannote[3765].speaker SPEAKER_18
transcript.pyannote[3765].start 22578.56159375
transcript.pyannote[3765].end 22579.27034375
transcript.pyannote[3766].speaker SPEAKER_18
transcript.pyannote[3766].start 22581.78471875
transcript.pyannote[3766].end 22582.25721875
transcript.pyannote[3767].speaker SPEAKER_18
transcript.pyannote[3767].start 22583.47221875
transcript.pyannote[3767].end 22589.74971875
transcript.pyannote[3768].speaker SPEAKER_18
transcript.pyannote[3768].start 22605.24096875
transcript.pyannote[3768].end 22606.33784375
transcript.pyannote[3769].speaker SPEAKER_18
transcript.pyannote[3769].start 22606.67534375
transcript.pyannote[3769].end 22608.68346875
transcript.pyannote[3770].speaker SPEAKER_18
transcript.pyannote[3770].start 22608.95346875
transcript.pyannote[3770].end 22610.05034375
transcript.pyannote[3771].speaker SPEAKER_18
transcript.pyannote[3771].start 22610.97846875
transcript.pyannote[3771].end 22611.67034375
transcript.pyannote[3772].speaker SPEAKER_18
transcript.pyannote[3772].start 22612.24409375
transcript.pyannote[3772].end 22612.96971875
transcript.pyannote[3773].speaker SPEAKER_18
transcript.pyannote[3773].start 22613.39159375
transcript.pyannote[3773].end 22614.65721875
transcript.pyannote[3774].speaker SPEAKER_18
transcript.pyannote[3774].start 22615.43346875
transcript.pyannote[3774].end 22622.52096875
transcript.pyannote[3775].speaker SPEAKER_24
transcript.pyannote[3775].start 22622.84159375
transcript.pyannote[3775].end 22623.12846875
transcript.pyannote[3776].speaker SPEAKER_18
transcript.pyannote[3776].start 22623.87096875
transcript.pyannote[3776].end 22626.90846875
transcript.pyannote[3777].speaker SPEAKER_18
transcript.pyannote[3777].start 22629.67596875
transcript.pyannote[3777].end 22631.70096875
transcript.pyannote[3778].speaker SPEAKER_18
transcript.pyannote[3778].start 22632.49409375
transcript.pyannote[3778].end 22637.28659375
transcript.pyannote[3779].speaker SPEAKER_00
transcript.pyannote[3779].start 22634.09721875
transcript.pyannote[3779].end 22634.75534375
transcript.pyannote[3780].speaker SPEAKER_00
transcript.pyannote[3780].start 22635.27846875
transcript.pyannote[3780].end 22636.17284375
transcript.pyannote[3781].speaker SPEAKER_18
transcript.pyannote[3781].start 22639.93596875
transcript.pyannote[3781].end 22644.10409375
transcript.pyannote[3782].speaker SPEAKER_00
transcript.pyannote[3782].start 22642.11284375
transcript.pyannote[3782].end 22642.26471875
transcript.pyannote[3783].speaker SPEAKER_18
transcript.pyannote[3783].start 22646.92221875
transcript.pyannote[3783].end 22647.17534375
transcript.pyannote[3784].speaker SPEAKER_18
transcript.pyannote[3784].start 22649.06534375
transcript.pyannote[3784].end 22658.27909375
transcript.pyannote[3785].speaker SPEAKER_24
transcript.pyannote[3785].start 22659.76409375
transcript.pyannote[3785].end 22659.98346875
transcript.pyannote[3786].speaker SPEAKER_24
transcript.pyannote[3786].start 22660.03409375
transcript.pyannote[3786].end 22660.05096875
transcript.pyannote[3787].speaker SPEAKER_18
transcript.pyannote[3787].start 22660.05096875
transcript.pyannote[3787].end 22673.04471875
transcript.pyannote[3788].speaker SPEAKER_24
transcript.pyannote[3788].start 22661.23221875
transcript.pyannote[3788].end 22662.71721875
transcript.pyannote[3789].speaker SPEAKER_18
transcript.pyannote[3789].start 22674.31034375
transcript.pyannote[3789].end 22675.03596875
transcript.pyannote[3790].speaker SPEAKER_18
transcript.pyannote[3790].start 22675.71096875
transcript.pyannote[3790].end 22678.54596875
transcript.pyannote[3791].speaker SPEAKER_18
transcript.pyannote[3791].start 22741.23659375
transcript.pyannote[3791].end 22745.11784375
transcript.pyannote[3792].speaker SPEAKER_18
transcript.pyannote[3792].start 22745.38784375
transcript.pyannote[3792].end 22752.03659375
transcript.pyannote[3793].speaker SPEAKER_18
transcript.pyannote[3793].start 22752.50909375
transcript.pyannote[3793].end 22753.45409375
transcript.pyannote[3794].speaker SPEAKER_18
transcript.pyannote[3794].start 22754.11221875
transcript.pyannote[3794].end 22765.16534375
transcript.pyannote[3795].speaker SPEAKER_01
transcript.pyannote[3795].start 22768.96221875
transcript.pyannote[3795].end 22769.83971875
transcript.pyannote[3796].speaker SPEAKER_01
transcript.pyannote[3796].start 22770.98721875
transcript.pyannote[3796].end 22792.03034375
transcript.pyannote[3797].speaker SPEAKER_18
transcript.pyannote[3797].start 22787.64284375
transcript.pyannote[3797].end 22788.55409375
transcript.pyannote[3798].speaker SPEAKER_18
transcript.pyannote[3798].start 22798.07159375
transcript.pyannote[3798].end 22800.04596875
transcript.pyannote[3799].speaker SPEAKER_18
transcript.pyannote[3799].start 22800.58596875
transcript.pyannote[3799].end 22812.82034375
transcript.pyannote[3800].speaker SPEAKER_18
transcript.pyannote[3800].start 22813.93409375
transcript.pyannote[3800].end 22814.69346875
transcript.pyannote[3801].speaker SPEAKER_18
transcript.pyannote[3801].start 22815.01409375
transcript.pyannote[3801].end 22816.51596875
transcript.pyannote[3802].speaker SPEAKER_18
transcript.pyannote[3802].start 22817.46096875
transcript.pyannote[3802].end 22818.23721875
transcript.pyannote[3803].speaker SPEAKER_18
transcript.pyannote[3803].start 22818.49034375
transcript.pyannote[3803].end 22819.67159375
transcript.pyannote[3804].speaker SPEAKER_18
transcript.pyannote[3804].start 22820.07659375
transcript.pyannote[3804].end 22821.67971875
transcript.pyannote[3805].speaker SPEAKER_18
transcript.pyannote[3805].start 22822.23659375
transcript.pyannote[3805].end 22823.04659375
transcript.pyannote[3806].speaker SPEAKER_18
transcript.pyannote[3806].start 22823.16471875
transcript.pyannote[3806].end 22823.53596875
transcript.pyannote[3807].speaker SPEAKER_18
transcript.pyannote[3807].start 22828.44659375
transcript.pyannote[3807].end 22831.51784375
transcript.pyannote[3808].speaker SPEAKER_18
transcript.pyannote[3808].start 22831.99034375
transcript.pyannote[3808].end 22833.89721875
transcript.pyannote[3809].speaker SPEAKER_18
transcript.pyannote[3809].start 22835.01096875
transcript.pyannote[3809].end 22835.48346875
transcript.pyannote[3810].speaker SPEAKER_18
transcript.pyannote[3810].start 22835.87159375
transcript.pyannote[3810].end 22837.05284375
transcript.pyannote[3811].speaker SPEAKER_18
transcript.pyannote[3811].start 22838.14971875
transcript.pyannote[3811].end 22857.16784375
transcript.pyannote[3812].speaker SPEAKER_18
transcript.pyannote[3812].start 22857.80909375
transcript.pyannote[3812].end 22858.82159375
transcript.pyannote[3813].speaker SPEAKER_18
transcript.pyannote[3813].start 22859.53034375
transcript.pyannote[3813].end 22862.70284375
transcript.pyannote[3814].speaker SPEAKER_18
transcript.pyannote[3814].start 22863.07409375
transcript.pyannote[3814].end 22865.13284375
transcript.pyannote[3815].speaker SPEAKER_18
transcript.pyannote[3815].start 22865.95971875
transcript.pyannote[3815].end 22867.79909375
transcript.pyannote[3816].speaker SPEAKER_18
transcript.pyannote[3816].start 22868.23784375
transcript.pyannote[3816].end 22873.58721875
transcript.pyannote[3817].speaker SPEAKER_18
transcript.pyannote[3817].start 22874.12721875
transcript.pyannote[3817].end 22876.23659375
transcript.pyannote[3818].speaker SPEAKER_18
transcript.pyannote[3818].start 22877.56971875
transcript.pyannote[3818].end 22878.54846875
transcript.pyannote[3819].speaker SPEAKER_18
transcript.pyannote[3819].start 22879.34159375
transcript.pyannote[3819].end 22881.24846875
transcript.pyannote[3820].speaker SPEAKER_18
transcript.pyannote[3820].start 22882.58159375
transcript.pyannote[3820].end 22883.27346875
transcript.pyannote[3821].speaker SPEAKER_18
transcript.pyannote[3821].start 22884.50534375
transcript.pyannote[3821].end 22885.60221875
transcript.pyannote[3822].speaker SPEAKER_18
transcript.pyannote[3822].start 22886.56409375
transcript.pyannote[3822].end 22888.90971875
transcript.pyannote[3823].speaker SPEAKER_18
transcript.pyannote[3823].start 22889.16284375
transcript.pyannote[3823].end 22889.51721875
transcript.pyannote[3824].speaker SPEAKER_18
transcript.pyannote[3824].start 22890.17534375
transcript.pyannote[3824].end 22891.39034375
transcript.pyannote[3825].speaker SPEAKER_18
transcript.pyannote[3825].start 22891.87971875
transcript.pyannote[3825].end 22893.87096875
transcript.pyannote[3826].speaker SPEAKER_18
transcript.pyannote[3826].start 22894.37721875
transcript.pyannote[3826].end 22894.78221875
transcript.pyannote[3827].speaker SPEAKER_18
transcript.pyannote[3827].start 22895.35596875
transcript.pyannote[3827].end 22898.19096875
transcript.pyannote[3828].speaker SPEAKER_18
transcript.pyannote[3828].start 22898.89971875
transcript.pyannote[3828].end 22900.58721875
transcript.pyannote[3829].speaker SPEAKER_18
transcript.pyannote[3829].start 22901.04284375
transcript.pyannote[3829].end 22915.26846875
transcript.pyannote[3830].speaker SPEAKER_18
transcript.pyannote[3830].start 22915.67346875
transcript.pyannote[3830].end 22917.10784375
transcript.pyannote[3831].speaker SPEAKER_18
transcript.pyannote[3831].start 22917.14159375
transcript.pyannote[3831].end 22919.40284375
transcript.pyannote[3832].speaker SPEAKER_18
transcript.pyannote[3832].start 22921.02284375
transcript.pyannote[3832].end 22922.38971875
transcript.pyannote[3833].speaker SPEAKER_18
transcript.pyannote[3833].start 22923.35159375
transcript.pyannote[3833].end 22924.06034375
transcript.pyannote[3834].speaker SPEAKER_18
transcript.pyannote[3834].start 22924.39784375
transcript.pyannote[3834].end 22926.65909375
transcript.pyannote[3835].speaker SPEAKER_40
transcript.pyannote[3835].start 22927.97534375
transcript.pyannote[3835].end 22929.10596875
transcript.whisperx[0].start 1923.953
transcript.whisperx[0].end 1951.254
transcript.whisperx[0].text 好謝謝各位我們繼續開會今天進行討論事項114年度社會發展部中華郵政公司觀光署及所屬以及觀光發展基金預算的處理我先介紹一下在場的這個委員跟列席的官員首先介紹委員從前面開始黃建豪委員大家給他一個掌聲謝謝廖先祥委員
transcript.whisperx[1].start 1955.649
transcript.whisperx[1].end 1974.47
transcript.whisperx[1].text 林國成委員還有我們葛國軍委員特別來關注我們蘇衛部好 林俊憲委員陳素月召委
transcript.whisperx[2].start 1978.939
transcript.whisperx[2].end 2007.381
transcript.whisperx[2].text 好接著介紹列席的官員我們第一個預算是審理數位發展部的首先我們歡迎數位發展部黃燕南部長謝謝部長葉寧常務司長常次數位策略師葉秀全司長葉司長任性建設師吳明仁代理司長
transcript.whisperx[3].start 2009.642
transcript.whisperx[3].end 2020.454
transcript.whisperx[3].text 資源管理師 劉信仁市長數位政府師 王承明市長數位國際師 莊盈智市長資料創新師 莊明芬市長
transcript.whisperx[4].start 2027.944
transcript.whisperx[4].end 2039.369
transcript.whisperx[4].text 你們這一排也要幫忙鼓掌一下不然鼓掌部隊太明顯了同仁之間也要稍微互動一下主計處 吳俊鈺處長還有秘書處 陳仲山處長資訊處 周志和處長人事處 莫永榮處長
transcript.whisperx[5].start 2056.707
transcript.whisperx[5].end 2085.308
transcript.whisperx[5].text 政風處陳春信處長法治處張學文處長我們數位產業署林俊秀署長跟我們資通安全署謝翠娟署長國家資通安全研究院何全德院長
transcript.whisperx[6].start 2088.099
transcript.whisperx[6].end 2102.223
transcript.whisperx[6].text 好謝謝 財政法人台灣網路資訊中心黃盛雄董事長好黃董事長財政法人電信技術中心林炫祐副執行長啊你們執行長咧喔好財政法人資訊工業策進會楊佳
transcript.whisperx[7].start 2114.961
transcript.whisperx[7].end 2117.144
transcript.whisperx[7].text 行政院主計總署公務預算處黃曉娟專委基金預算處李政道科長
transcript.whisperx[8].start 2134.346
transcript.whisperx[8].end 2151.77
transcript.whisperx[8].text 好今天謝謝我們社會發展部啊這個可以相關單位都來了如果各位也有待會有什麼就教部分要詳細回答好那我們現在進行協商同時請議事人員宣讀預算數及委員提案
transcript.whisperx[9].start 2153.834
transcript.whisperx[9].end 2169.188
transcript.whisperx[9].text 我們今天協商的順序是一 數位發展部二 中華郵政公司三 觀光署及所屬第四 觀光發展基金請相關列席的官員大概注意一下順序我們現在開始進行協商
transcript.whisperx[10].start 2214.664
transcript.whisperx[10].end 2225.036
transcript.whisperx[10].text 中華民國一月四年度中央政府總預算數位發展部稅務入來原幣預算數第二款八款及非常收入
transcript.whisperx[11].start 2226.949
transcript.whisperx[11].end 2246.694
transcript.whisperx[11].text 第207項數位發展部五列數第三款規費收入第171項數位發展部24億5658萬7千元第4款財產收入第217項好謝謝各位委員那今天請拿出最大本的最大本的第7款其他收入
transcript.whisperx[12].start 2247.934
transcript.whisperx[12].end 2269.774
transcript.whisperx[12].text 應該是算今天最後的好也請各位翻開社會發展部114年度單位預算建議併案及預算表待會審理預算按照這個併案審理的這個順序來審理好如果各位翻開我們先看第一案
transcript.whisperx[13].start 2271.876
transcript.whisperx[13].end 2292.552
transcript.whisperx[13].text 稅務使用 規費收入 頻率及電信號碼使用費來 主席有沒有提案好你好 主席這個我想因為數位部可以看到今天的這個建議批判預算表其實大家這個提案非常多那三的數量也非常的高當然是爭議也蠻多的
transcript.whisperx[14].start 2293.232
transcript.whisperx[14].end 2302.261
transcript.whisperx[14].text 那最高的大概有兩億三億的都有在刪了那我就建議說因為過去這兩週我想我們交通委員會過去以來這個省運算都是比較和諧啦
transcript.whisperx[15].start 2303.953
transcript.whisperx[15].end 2322.828
transcript.whisperx[15].text 很多提案委員提的數字很高但大家到最後因為委員會大家為了和氣最後就沒有上或是直接凍結而已所以我建議說這個蘇衛部預算因為我想大家也在提不管朝野政黨對這個蘇衛部的爭議或對蘇衛部的這些想法非常多那提案也非常多是不是就直接
transcript.whisperx[16].start 2324.109
transcript.whisperx[16].end 2345.142
transcript.whisperx[16].text 節省大家時間我們直接送後續直接送政黨協商來看不然今天我看今天這個光說不可能弄一整天弄不完目前這個光如果光每一個項目的數字光這樣來來回回大家討論來討論去吵架玩家之後我想可能今天都過不完啊所以提案說看如果我們委會沒有意見的話是不是直接送到政黨協商我們請主席採視謝謝
transcript.whisperx[17].start 2348.824
transcript.whisperx[17].end 2368.978
transcript.whisperx[17].text 好 謝謝黃金豪委員保留送政黨結案 陳書業召委我想立法院是委員會中心主義啦齁那審預算也是我們委員的權利啊所以我是希望說我們還是逐一來審查然後也讓那個數位部有充分說明的一個機會啦齁 謝謝
transcript.whisperx[18].start 2372.435
transcript.whisperx[18].end 2393.046
transcript.whisperx[18].text 好 那我想這個林國成委員我想看來看去因為省預算省到我們交通委員會這裡啊數位部是背山的比例算蠻高的啦那就代表大家對數位部的瞭解度不夠或者你們的編類預算
transcript.whisperx[19].start 2396.688
transcript.whisperx[19].end 2414.521
transcript.whisperx[19].text 較為苦難這個當然要先釐清這個那當然也要尊重部長因為建豪委員他提的也是有理由看起來似乎啊這個三減一算這麼多就代表所有委員對這些是有疑慮
transcript.whisperx[20].start 2415.522
transcript.whisperx[20].end 2441.441
transcript.whisperx[20].text 那當然還是要聽聽你的意見我想見好他的理由不是沒有理由但是大家可以商量一下你認為送到那邊去也比較簡單啦也比較簡單那你們認為希望我們神不需要送到大會那你要講出一個理由啊為什麼比例這麼高為什麼比例這麼高所以這是我個人看法那我也贊成
transcript.whisperx[21].start 2442.602
transcript.whisperx[21].end 2463.133
transcript.whisperx[21].text 送那個大會來審查這樣因為現在數位部所有編列的預算成長幅度啊各方面是非常高的所以到大會去啊大家三黨所有的立委共同來討論也是一件好事所以基本上建好的建議我是支持的
transcript.whisperx[22].start 2465.578
transcript.whisperx[22].end 2487.725
transcript.whisperx[22].text 好的謝謝幾位委員的發言那這個黃委員的建議是說這個數位發展部就整本的預算就保留送院會那我們的委員還有沒有來林俊憲委員所有主席各位同仁如果我們送到院會去院會沒有時間審查啦
transcript.whisperx[23].start 2490.686
transcript.whisperx[23].end 2517.22
transcript.whisperx[23].text 都是一個統三啦統三的比例都不會太高如果各位真的對各位同仁可以自己考量一下如果大家對數位數法部的預算有意見那其實應該你要審嘛你才可以逐條去了解他的業務到底在幹什麼你才可以去知道他未來的預算增加是要做什麼事情嘛
transcript.whisperx[24].start 2518.516
transcript.whisperx[24].end 2541.614
transcript.whisperx[24].text 我覺得如果你整本都送到大會去啊其實是交委會沒有盡到我們的責任啦各位知道他這段預算要幹嘛嗎?我認為在場的立委也不一定都知道啦沒人知道啦,你要信嗎?你不知道你審下去你才有機會去更進一步去了解不清楚我們就問他嘛
transcript.whisperx[25].start 2542.745
transcript.whisperx[25].end 2569.623
transcript.whisperx[25].text 其實你把他送到大會去反而好啦 保證你比較輕鬆啦對不對 你天都好你送他去 蘇華部的官員也不會比較痛苦啦好不好 大家考量一下啦如果真的是對預算有意見反而就是應該要審啦這是我的意見看法 好不好好 謝謝 尊重你的才智啦好 各位
transcript.whisperx[26].start 2571.325
transcript.whisperx[26].end 2587.775
transcript.whisperx[26].text 徐副委員來給徐委員講謝謝主席我想過去委員會在質詢的時候我想很多委員對抒發部的業務也都很關心尤其社會大眾對這個抒發部未來打造的功能也寄予厚望所以本席這邊
transcript.whisperx[27].start 2589.436
transcript.whisperx[27].end 2616.694
transcript.whisperx[27].text 我還是認為說我們既然對這個預算應該要把關也應該要好好的審查針對一些重點的一個業務的項目也應該要給予書法部一個說明的機會那我想這樣子避免說這樣到時候到院會去統刪之後結果有些重點項目的經費被刪掉之後那未來這個再打詐還有一些相關的一些數位發展的業務上面受到這個衝擊的時候就不好了所以我建議還是我們好好的來把關審查 謝謝
transcript.whisperx[28].start 2619.898
transcript.whisperx[28].end 2635.69
transcript.whisperx[28].text 好 那我們部長有什麼想法嗎我希望有機會給我們進一步說明我想這個很多業務可能要說明以後會比較清楚所以如果有機會我是希望能夠在這邊說明以後再來決定怎麼進行這樣
transcript.whisperx[29].start 2639.437
transcript.whisperx[29].end 2662.21
transcript.whisperx[29].text 好 那這樣那個建華委員各位委員我想大家這個不管是不同的意見其實只有一個目標啦就針對於我們社會發展部不管他執行的效率或者預算的這個編列大家事實上有蠻多疑問的那我這樣子好不好我就在這裡裁示我們就開始來審預算好不好盡我們交通委員會的一個責任
transcript.whisperx[30].start 2665.304
transcript.whisperx[30].end 2670.508
transcript.whisperx[30].text 這個部分當然為什麼我也想說針對異議啦那經過溝通啊他們所有的作法
transcript.whisperx[31].start 2692.085
transcript.whisperx[31].end 2711.927
transcript.whisperx[31].text 那我在這裡是有要求那數位部也原則性同意三個月以內向立法院交通委員會提出書面報告那我也同意不針類所以這點特別跟我們召集人做說明跟報告
transcript.whisperx[32].start 2714.625
transcript.whisperx[32].end 2721.418
transcript.whisperx[32].text 好 這個第一案是改組決議的意思嗎好的那我們現在第一案改組決議
transcript.whisperx[33].start 2726.525
transcript.whisperx[33].end 2749.06
transcript.whisperx[33].text 好 三個月內提供報告嘛 沒問題吧 主決也要押這樣的一個時程好 接下來第二至三案 開始審查稅出稅出的 這是整體的通案嗎沒有寫通案稅出的整個整體的通案 兩位委員提案 這個
transcript.whisperx[34].start 2756.305
transcript.whisperx[34].end 2766.992
transcript.whisperx[34].text 提案委員有沒有補充說明的好各位謝謝召委本席在這邊提案的第三案呢是關於速發布114年度業務費的這個預算案
transcript.whisperx[35].start 2770.578
transcript.whisperx[35].end 2794.645
transcript.whisperx[35].text 那我想這個業務費呢在這個案子上面總共編列是12億那我不知道這個訴發部的官員還有我們的同仁知不知道12億是什麼樣的規模我們這個詐騙集團單日最高詐騙金額一天就是5.5億所以這個詐騙集團兩天的收入我們這個訴發部要花一年
transcript.whisperx[36].start 2796.005
transcript.whisperx[36].end 2815.883
transcript.whisperx[36].text 去跟他對抗所以當然我們理解啦這個速發部的同仁應該是非常辛苦就是我們的資源有限那我們是在做這個不對稱的戰爭但是雖然資源有限我們也希望能夠讓這個資源可以給速發部的同仁來做打仗
transcript.whisperx[37].start 2816.644
transcript.whisperx[37].end 2838.521
transcript.whisperx[37].text 但是编的每一笔钱也都是名子名高所以我们一定要好好的来监督就算只有这些资源我们能不能把这些资源最大化那在这个业务费的使用上面呢我们看到速发部的预算书里面有清楚的列出积极推动打诈工作是你们的施政主轴
transcript.whisperx[38].start 2839.241
transcript.whisperx[38].end 2852.473
transcript.whisperx[38].text 但是我們可以看到從數據上來說我不知道部長理不理解這個越打越炸已經不是只是民間的傳言而是數據上的真相112年全台炸氣件數37000件到了113年年還沒過完的統計1到10月的炸氣件數統計是7萬多件
transcript.whisperx[39].start 2862.102
transcript.whisperx[39].end 2881.451
transcript.whisperx[39].text 那我们看打渣仪表本加起来我们现在已经到2025年了所以很可能是要将近10万甚至突破10万件财损总金额呢应该是已经突破了几百亿台币那我们本来看到10月份数据是稍微下降到单月108亿
transcript.whisperx[40].start 2883.171
transcript.whisperx[40].end 2905.636
transcript.whisperx[40].text 但是到了11月 126億又回來了我們本來還期待說12月 速發部會不會相關的打詐行為因為有相關的作為 所以又下降結果沒有 只下降2億所以又是124億 12月 我們現在是1月2號所以讓官員還有同仁都了解最新的數據
transcript.whisperx[41].start 2906.816
transcript.whisperx[41].end 2930.519
transcript.whisperx[41].text 那單日的財損5.5億平均每日超過4億多這個數據我想每一位官員一定都要背在心裡因為這都是民眾的痛抒發物每一年花納稅人這麼多的錢我們今天講到12億還只是業務費那卻沒有成效那又有很多這個粉磚上架下架封鎖
transcript.whisperx[42].start 2931.4
transcript.whisperx[42].end 2952.23
transcript.whisperx[42].text 可能有一些資訊不公開不透明甚至呢這些詐騙橫行的事件我想一再的頻傳速發部應該比國人感到更生氣更緊張但是我想我們在整個過程當中看到速發部相對消極那如果這麼消極你們又把它列為你們的主軸工作這是不是有所
transcript.whisperx[43].start 2953.19
transcript.whisperx[43].end 2977.644
transcript.whisperx[43].text 漢格呢到底速發部能不能一肩扛起能不能承諾明年的成效是不是有什麼樣的一個數據可以讓我們看到很明確的下降那同時呢我們也看到很多的案例裡面詐騙的做法已經開始轉型了變成是用這種所謂的扮演角色做資訊落差來做詐騙
transcript.whisperx[44].start 2979.345
transcript.whisperx[44].end 2994.331
transcript.whisperx[44].text 運用利用民眾的正義感開始有很多人扮演假扮警察假扮檢察官去欺騙那我們認為呢這個有非常多民眾甚至名人都受騙他們說資訊落差造成了這些詐騙橫行
transcript.whisperx[45].start 2995.771
transcript.whisperx[45].end 3009.578
transcript.whisperx[45].text 本席在此案建議透過雙重認證的機制2FA讓檢警跟民眾接觸的時候這些官方代表應該要出示一個rotating的六碼讓民眾將這些數碼傳到
transcript.whisperx[46].start 3012.839
transcript.whisperx[46].end 3035.732
transcript.whisperx[46].text 政府的官方頻道去收到確認說他到底是不是哪一個檢察官到底是不是哪一個辦案的人員到底是不是一個中央政府甚至我們都看到網紅說收到速發布的人來收集白名單速發布說沒有這些身份的驗證我相信速發布應該要一肩扛起去減低這個資訊的落差
transcript.whisperx[47].start 3037.333
transcript.whisperx[47].end 3059.429
transcript.whisperx[47].text 那對此呢我們有溝通啦那抒發部有說呢這個做法希望能跟警政署做實務程序的研議去共同評估甚至做技術的提供那希望請部長說明一下抒發部要花多久的時間才能夠評估完成我們每評估多一天社會就被多騙四五億台幣所以能不能快一點
transcript.whisperx[48].start 3059.969
transcript.whisperx[48].end 3088.177
transcript.whisperx[48].text 那另外呢這個打炸賴貼圖我是先不講他叫寶寶不說我不知道為什麼當然這是一個網紅啦是一個創作者那我想你說你應該要寶寶要說嘛因為被騙了就應該要說啊結果你這個貼圖系列叫寶寶不說其實不太理解為什麼是這樣但是因為我也有下載我覺得蠻可愛的但是這裡面的內容跟策略到底是不是我們打炸大家看到的
transcript.whisperx[49].start 3088.877
transcript.whisperx[49].end 3117.056
transcript.whisperx[49].text 的這個速發布希望民眾看到的東西難道希望民眾只看到貼圖嗎貼圖就能夠降低詐騙率嗎希望明年度的預算我們今天一定會嚴正的來審核希望我們在這個案子的凍結500萬左右凍結希望能夠速發布藉由這樣的一個專案來提出我們剛剛幾點的這個回覆之外也希望能夠有相關的這個做法能夠讓我們更清楚我們在於解凍謝謝
transcript.whisperx[50].start 3118.888
transcript.whisperx[50].end 3135.577
transcript.whisperx[50].text 好謝謝葛委員那這樣好不好部長要不要說明一下回應一下大概時程怎麼樣因為這個我看這一段只有凍結了你就看回應一下什麼時候給書面報告謝謝委員那個知道那個我們有協商過我是不是請那個署長協商的那個結果再說明一下
transcript.whisperx[51].start 3140.402
transcript.whisperx[51].end 3164.477
transcript.whisperx[51].text 謝謝趙委謝謝委員那這個協商的結果感謝各位同意把文字就是提出書面報告等等那也順便跟趙委跟委員報告一下目前的一些成效那假投資因為我們每天都會去掃這些網路廣告平台的一些廣告假投資已經下降從7萬多下降到數千而已
transcript.whisperx[52].start 3165.097
transcript.whisperx[52].end 3189.346
transcript.whisperx[52].text 那名人詐騙也下降了蠻多 從三萬多下降到變四千多所以我們觀察趨勢 但是它會轉移比如說在我們三資虛擬帳號的那個部分它就轉移到這個超商的條貸嘛那我們也跟經濟部聯訪 找四大超商來聯訪就把它超商條貸嘛 不要當作詐騙的工具這個我們也一直在進行
transcript.whisperx[53].start 3190.606
transcript.whisperx[53].end 3205.6
transcript.whisperx[53].text 那剛剛委員嘴巡的這個雙重認證的這個機制我覺得蠻好的那不過現在就是我們會有政府的意義當作是政府的部分那另外其實165一直廣宣如果你有疑義的話希望打165讓165來幫你這樣子
transcript.whisperx[54].start 3207.822
transcript.whisperx[54].end 3234.481
transcript.whisperx[54].text 大概我們目前是有這樣子不好意思我可以稍等一下我這邊先建議一下我們今天是主要是審預算大家對如果對於詐騙或者我們到時候會有專案報告或另外排流程那我們還是針對預算好 葛如君第二次發言沒關係我想這個做法上我覺得這個並沒有得到相應的答覆所以我還是因為
transcript.whisperx[55].start 3236.527
transcript.whisperx[55].end 3255.898
transcript.whisperx[55].text 這個剛剛講的很多數字我們其實一般上網都可以看得到那我們就希望能夠有這樣子的預算其實就是希望能夠知道具體的時程我們才能夠知道我們在預算上面要如何做那這個我剛剛是沒有得到明確的答覆的謝謝我這邊是不是可以再補充一下就是該委員這邊提到
transcript.whisperx[56].start 3256.818
transcript.whisperx[56].end 3278.413
transcript.whisperx[56].text 跟那個警政署這邊協調的這個部分的話我們訴訟室這邊會來處理那我們希望可以在兩個月內跟這個委員這邊提出書面報告是不是書面報告之後就可以動之我們的預算這樣子主席 謝謝好 那個林國昌委員我想你們這個在審預算怎麼那麼不乾脆啊12億多給你們凍結
transcript.whisperx[57].start 3281.336
transcript.whisperx[57].end 3297.574
transcript.whisperx[57].text 凍結我這個葛文勳委員這裡凍結五百萬這個你們還在談什麼理由凍結以後一個是專案報告一個是書面報告十二億多凍結五百萬你們還有什麼意見呢所以我是覺得你們在審預算
transcript.whisperx[58].start 3299.516
transcript.whisperx[58].end 3309.543
transcript.whisperx[58].text 該動的這動議算本來就是最輕微的給你們一個警惕12億多欸如果我是你們啊我老早就答應說好欸我還
transcript.whisperx[59].start 3314.853
transcript.whisperx[59].end 3329.863
transcript.whisperx[59].text 這本來就用書面報告啊 你就爭取的書面報告跟專案報告這樣跟委員溝通 委員同意 這個案子就好啦那你們為什麼要講得老半天咧委員講的沒有錯 就是我們...你們在菜市場聊天是不是
transcript.whisperx[60].start 3337.352
transcript.whisperx[60].end 3363.44
transcript.whisperx[60].text 你人家講話也稍微舉手發言一下好不好好不好不管誰做這個主席拜託各位你們誰講話沒有關係稍微舉手發言一下好才讓我們哪位發言突然一個聲音出來委員這邊也搞不清楚抱歉不是對你不禮貌但拜託你們現在人這麼多誰要舉手發言沒問題你要補充說明請舉個手那委員這邊我會自己來看來昆哲委員
transcript.whisperx[61].start 3366.837
transcript.whisperx[61].end 3390.132
transcript.whisperx[61].text 謝謝昭偉我們數位部的官員請注意剛才昭偉很明確的這是會議的一個基本的原則不是說你們要講話就麥克風拿起來就講都要經過徵詢過主席的同意剛才我也贊成葛如荊委員跟寧國城委員的提案就凍結500萬提書面報告好 針對於
transcript.whisperx[62].start 3396.311
transcript.whisperx[62].end 3414.824
transcript.whisperx[62].text 第二至三案如果各位沒有其他意見做一下處理稅出因為這可能是通案待會如果有堆疊累積的部分麻煩你們數位部自己去了解我們會幫你去了解堆疊到這邊這邊可能多少趴累積起來多少趴我們到時候你們自己要去估算那
transcript.whisperx[63].start 3415.928
transcript.whisperx[63].end 3428.738
transcript.whisperx[63].text 這樣的因為這邊有油化委員跟整個葛如葛如軍委員的這個部分還有廖先祥委員那這個部分我們整體凍結5%好不好整體凍結5%提書面報告10個凍結對全部33億的好接下來我們處理如果各位沒有意見我們接下來處理4至11案
transcript.whisperx[64].start 3442.284
transcript.whisperx[64].end 3455.662
transcript.whisperx[64].text 通難業務費下面的委辦費總共兩億八千萬餘元這個部分有提案的委員要補充林沛翔委員好再來林國成委員
transcript.whisperx[65].start 3457.904
transcript.whisperx[65].end 3482.752
transcript.whisperx[65].text 謝謝召委本席主要提的是第6案第8案第10案跟第11案因為這個為什麼提出這些案子而且我刪除的那個刪減加凍結的金額都不小最主要的原因是因為上一屆也就是上個主委唐鳳的時候用這個所謂的民主網路的連結本席曾經在外交部民主基金會台灣民主基金會擔過民主網路的連結似乎都是比較承襲在外交上面的事情
transcript.whisperx[66].start 3483.132
transcript.whisperx[66].end 3502.803
transcript.whisperx[66].text 比較不會說在數位上面用民主網路的連結本席實在百思不得其解所以對於這個民主網路的連結及創新這方面來講的話我會認為說這個運算機應該要酌情很審慎的使用因此本席做出刪減跟凍結另外一方面來講有關尾半費跟所謂數位韌性的應用
transcript.whisperx[67].start 3504.344
transcript.whisperx[67].end 3522.783
transcript.whisperx[67].text 老師講對於社會認訓委員會的五大主軸名利訓練及應用戰略物資盤整及維生配送能源關鍵基礎之維運社會這個包山包海的東西然後我們這邊講的時候委辦費也不清楚有說明也不清楚所以本席還是堅持我上面列三儲跟凍結的預算以上
transcript.whisperx[68].start 3527.711
transcript.whisperx[68].end 3555.632
transcript.whisperx[68].text 好 那待會發言順序是林國正委員李昆哲委員還有黃建華委員好 請林國正委員好 那個本席提的是第九案因為我在看這個強化通訊網路這個委辦的這個部分我認為它跟去年它跟去年也都差不多但是有一半是講不清楚講不清楚我相信連立法委員都
transcript.whisperx[69].start 3556.733
transcript.whisperx[69].end 3585.609
transcript.whisperx[69].text 看不清楚那這個預算就代表是有問題的所以本席是建議啊濁山本來原來是1400萬委辦的這個部分全山但是經過解釋以後補充理由以後我建議是由主席這裡建議小山如何去山由主席來做裁解以上好 接下來請李昆哲委員
transcript.whisperx[70].start 3590.003
transcript.whisperx[70].end 3608.535
transcript.whisperx[70].text 好 謝謝召委委辦經費總共編列預算2億8253萬元那即使立法院的交通委員會曾經多次的提案強調各單位的委辦費應該要力行尊潔減少非必要的委辦計畫
transcript.whisperx[71].start 3610.936
transcript.whisperx[71].end 3634.442
transcript.whisperx[71].text 相關的委辦計畫他的未來的預計成果都應該要說明清楚等一下就看數位部怎樣的說明我們再來決定刪減的金額或者是凍結預算以上好 黃天豪委員好 謝謝主席那我們這一次我共提的是6、8、10、11也是針對委辦這部分那因為這個向下就提到說其實這個
transcript.whisperx[72].start 3636.403
transcript.whisperx[72].end 3653.34
transcript.whisperx[72].text 名稱很大就建立全民數位任性連結民生網絡的這個向下都是在這向下裡面在刪減那這尾辦費到底立個尾辦給誰那要做什麼事情那這個經費未來要做什麼就是有什麼樣的成果我想因為在預算說明裡面都沒有講清楚那就要拿好幾億走那到底
transcript.whisperx[73].start 3654.315
transcript.whisperx[73].end 3676.195
transcript.whisperx[73].text 大家concern的點就是說到底為什麼要花這個錢那你這個委辦是你們部內做不到的事情嗎還是說很多業務其實是各部會要做然後全部丟給數位部這也是我覺得各部會也要把這個權責講清楚啦所以我們提這個這幾個刪減案跟凍結案就是希望這部分待會可能請數位部要講一下說你們這個委辦費的後續要怎麼處理好不好就以上謝謝
transcript.whisperx[74].start 3677.702
transcript.whisperx[74].end 3701.915
transcript.whisperx[74].text 好謝謝各位委員那我個人本人提的是第五案那也是一樣我們對於尾辦費是比較有反感的那當然有一些是必要的可是在尾辦費你們每年大概編了兩億七兩億八左右那這個部分我們發覺很多的民眾包括我們各位委員都覺得我們數位部在這幾年成立了我們對你們期待是很
transcript.whisperx[75].start 3702.955
transcript.whisperx[75].end 3721.672
transcript.whisperx[75].text 很高的但是呈現出來的一個成果我個人覺得不如預期那到底研究這麼多的計畫委辦這麼多的一個計畫那為什麼沒有帶動你們的讓民眾或者委員的一個感受這個部分我覺得這是你們要去說明要去檢討的所以我提出來是3.350萬凍結10%好請社會部說明
transcript.whisperx[76].start 3728.951
transcript.whisperx[76].end 3748.738
transcript.whisperx[76].text 欸部長你總要先說一下吧我們是不是會委員提案你先說一下你再找誰幫你補充好謝謝趙委員那個還有謝謝各位委員的指導那個我們這個因為牽涉到好幾個私我是不是請那個我們就個別先請任信室回答因為有些大部分是關數位任信的部分提案人你可以想
transcript.whisperx[77].start 3750.058
transcript.whisperx[77].end 3753.099
transcript.whisperx[77].text 幫部長補充發言蘇阿部感謝立委對我們委辦案的關切今年度我們114年度大概有15個委辦案
transcript.whisperx[78].start 3764.923
transcript.whisperx[78].end 3776.939
transcript.whisperx[78].text 所以那個任興建律師這邊的委辦案為例其實我們的委辦案基本上都是很實質的就是說對於那個消費者權益部分做這樣的一個檢視那例如說我們剛才那個
transcript.whisperx[79].start 3781.425
transcript.whisperx[79].end 3797.477
transcript.whisperx[79].text 李委員這邊有關切到的就是像說那個5G的那個NSA的量測那基本上我們就是每年度會去針對整個國家各地區那大概700定點的話777,760個點還有就是對於那個我們22個省道國營的還有我們的國道高速公三鐵就高鐵台鐵還有那捷運
transcript.whisperx[80].start 3806.884
transcript.whisperx[80].end 3825.116
transcript.whisperx[80].text 這些的民眾在這個通訊上面的品質的話去進行量測來把關讓我們的消費者能夠有一個參考的依據此外我們也針對民眾在無線電視的收視環境尤其是偏遠地區它不容易收視到無家電視台的無線電視訊號
transcript.whisperx[81].start 3827.117
transcript.whisperx[81].end 3852.491
transcript.whisperx[81].text 所以我們就透過衛星商鏈的這樣的一個計畫將無線電視台23個頻道能夠透過衛星來發射然後到偏遠地區再透過改賽站來加以能夠改善我們偏遠地區民眾所屬無線電視台的這樣的一個品質另外就是為了要促進我們智慧國家的這樣的一個基盤
transcript.whisperx[82].start 3856.854
transcript.whisperx[82].end 3876.833
transcript.whisperx[82].text 我們這邊的委辦的話基本上有的是電信機台廠環境中心有的是那個相關的像說中華電信公司為例他就是衛星商令的話他就透過他這個中華電信公司的衛星商令來提供所以我們的主要經費以任慶司的為例的話大概
transcript.whisperx[83].start 3877.273
transcript.whisperx[83].end 3889.218
transcript.whisperx[83].text 一億多的這樣的費用有七成都是屬於無線電視的改善的這樣的一個委辦以上報告請說明稍微精簡一點那針對您提案第五項的部分新增的這個委辦的部分做一個簡要的說明
transcript.whisperx[84].start 3901.903
transcript.whisperx[84].end 3928.052
transcript.whisperx[84].text 第一個我們新任是重更頻譜的屆期這個規劃計畫大概是針對700、900、1800這個馬上試機頻率要屆期要去做一些評估來去做後續的更迭那另外一個是數位創新關鍵技術設施的計畫呢它最主要是打造我國的公共城市呢跟跨境的數位流通平台來輔導地方政府與中央政府來推動公共城市嘛
transcript.whisperx[85].start 3928.672
transcript.whisperx[85].end 3954.438
transcript.whisperx[85].text 另外一個是5家無線電視的數位頻道及公司的海內的衛星上鏈它其實最主要是提供偏遠地區的民眾的收視權益另外一個是新增AI新議題的趨勢及應用調查分析計畫這是為了建立我國AI治理框架的一個重要參考強化我國整體技術發展的國際接軌 以上報告好 這個廖先生講委員
transcript.whisperx[86].start 3956.946
transcript.whisperx[86].end 3977.287
transcript.whisperx[86].text 好謝謝,我們事務部的同仁有大概說一下啦那其實我們一些細項好像跟我們的主標民主網絡的落差還滿大的啦把民主網絡灌上去好像什麼經費上面灌一個民主兩個字然後如果說立法院來動好像就是反民主我覺得好像有扣一個帽子在我們委員會的一個頭上
transcript.whisperx[87].start 3978.849
transcript.whisperx[87].end 4003.666
transcript.whisperx[87].text 有民主我們就不能動這樣子那其實在委員會有一直講我們速發部的人員其實一直都不夠的嘛那有請我們速發部來增加編組足夠的人力然後減少委辦嘛那兩個應該是相對應的我們希望增加人力的同時我們委辦費應該也要適度的來精簡啦否則如果說我們速發部什麼事情都用發包委辦辦理的話我們乾脆改名叫
transcript.whisperx[88].start 4004.486
transcript.whisperx[88].end 4006.668
transcript.whisperx[88].text 那我剛剛看了一下各個單項委員的三檢動議啦如果在同樣的像是不重複
transcript.whisperx[89].start 4022.72
transcript.whisperx[89].end 4039.792
transcript.whisperx[89].text 加的話各項以最大額來加的話大概加起來大概是大概是一個一億的一個數額啦那我就建議建議主席就是委辦費這個大項就統三統三一億然後再由他們自己去調節這樣子以上好謝謝院長委員好那我想這個
transcript.whisperx[90].start 4048.601
transcript.whisperx[90].end 4062.734
transcript.whisperx[90].text 差不多了差不多了那個針對這個通案的業務費委辦費的部分那我剛剛看了一下這個因為我們還是基於委員提案為一個基礎啦以基礎來處理那這個整體來講2億8253萬餘元這個部分那有提案刪除的委員呢從我的350萬1000萬
transcript.whisperx[91].start 4073.524
transcript.whisperx[91].end 4089.74
transcript.whisperx[91].text 那林沛翔委員這邊的提案其實是總三八千萬因為你是向下累積的分在各個向下那是八千還是一千 我講這樣好不好那我們針對於這個是同案業務違反費三減兩千萬凍結百分之十提書面報告使得動之
transcript.whisperx[92].start 4098.174
transcript.whisperx[92].end 4127.191
transcript.whisperx[92].text 各位委員有沒有不同意見八千號來 昆哲委員謝謝召委 剛才數位部有初步的一個說明當然我們委員會在過去也都一直要求相關的委辦計畫應該要例行尊嚴除非啊 能夠清楚的說明相關計畫的必要性以及未來預期的相關的效果
transcript.whisperx[93].start 4128.359
transcript.whisperx[93].end 4143.081
transcript.whisperx[93].text 那數位部比較不一樣的一個地方就是說其實因為數位部成立不久很多都是各部會相關來支援成立的一個部會
transcript.whisperx[94].start 4144.042
transcript.whisperx[94].end 4163.592
transcript.whisperx[94].text 所以在相關數位產業的部分這些公務員他們對他們自己的公務行政是很熟悉但是對數位產業的發展還是有他先天能力上的一些限制所以委辦的計畫因為數位是非常專業的我們說白了 產業是很專業的所以他們委辦的計畫會比較多一點
transcript.whisperx[95].start 4170.576
transcript.whisperx[95].end 4181.884
transcript.whisperx[95].text 這個我們倒也是有限度的可以接受一定的這種經費的編列所以我具體建議是刪除1000萬凍結10%順便報告或解凍以上
transcript.whisperx[96].start 4187.028
transcript.whisperx[96].end 4198.025
transcript.whisperx[96].text 好黃天豪委員好謝謝張委員那剛剛提到說上一輪提問的時候我就問說那到底今天數位部的這個預算項目下的民主網絡的連結跟民主韌性這個關聯是什麼剛剛說明沒有提到就這個項目
transcript.whisperx[97].start 4202.291
transcript.whisperx[97].end 4221.438
transcript.whisperx[97].text 編的那你的標題是這個但是內容好像跟這都沒有關係你們剛剛的說明裡面也跟這件事情沒有關係所以我覺得這是第一件第二件事情是這整個委辦費編了兩億八千多萬那我所以覺得過去的執行率也不是很高那我覺得具體建議就刪零頭啦留兩億給你們那八千萬是要刪掉以上
transcript.whisperx[98].start 4222.638
transcript.whisperx[98].end 4246.713
transcript.whisperx[98].text 好謝謝建行委員來我請介次長來再補充說明一下跟各位報告第一個當然我們邊在民主網路的創新發展大概基本的概念就是說我們要維持我們的社會的這個他必須要最基本最基本的這個通訊以及這個網路的連結要有所以大概有兩個重點是這個向下的第一個是通訊網路的維持那這部分
transcript.whisperx[99].start 4247.473
transcript.whisperx[99].end 4268.953
transcript.whisperx[99].text 這個非常專業 原因是說他有很多技術的他不是一般的公務機關所以我們大部分都就像市長剛剛報告的是中華電信或者是電信技術中心那另外一個是前瞻性的規劃包括未來的評估怎麼重整包括未來的AI怎麼樣運用到通訊網路上面那這個其實是非常專業性學術性的
transcript.whisperx[100].start 4270.094
transcript.whisperx[100].end 4297.734
transcript.whisperx[100].text 我們的確需要委辦的費用來支持也正如剛才這個林俊憲委員提的很多產業的發展其實我們要追上不是光靠公務機關同仁就可以做的所以跟各位委員這個懇請就是委辦費我們實在是需要那但是我們也理解各位委員對我們的鞭策那是不是可以按照林俊憲委員的這個提示我們就這個鞭策我們就我們就三減一千萬那這個凍結百分之十然後提書面報告後凍職
transcript.whisperx[101].start 4298.875
transcript.whisperx[101].end 4301.538
transcript.whisperx[101].text 林培祥委員主席老實講我還是對這答案一點都不滿意我建議保留好
transcript.whisperx[102].start 4317.577
transcript.whisperx[102].end 4342.05
transcript.whisperx[102].text 謝謝那我們接下來就是針對這個部分來處理啦那其實我的問題跟蠻多委員擔心的一樣當然第一個是實務上你們在2.就是現在要2億8的委判費可是在看今年為止現在已經是已經跨年了已經14年了所以你在113年預算到目前為止的執行率大概才58%
transcript.whisperx[103].start 4344.831
transcript.whisperx[103].end 4360.676
transcript.whisperx[103].text 58%那我不知道啦這個月在請款有沒有請到60 70我不清楚啦多少啦到目前為止多少來你講一下講個%數我們禮拜二的時候才整個統整我們現在已經到98%了已經到98%了那為什麼給我們58%因為這個經費是34個機關在執行的那你上次給我們給我們58%是什麼意思
transcript.whisperx[104].start 4369.076
transcript.whisperx[104].end 4382.868
transcript.whisperx[104].text 就是說事實上你10天以內或20天就可以執行到40%也就不簡單了好好沒關係沒關係到98%那是好事那第二個是你們要增加的委辦費其中有一個
transcript.whisperx[105].start 4384.158
transcript.whisperx[105].end 4410.251
transcript.whisperx[105].text 叫AI現在很多東西掛了AI我們都先除掉看後面的字叫做新興議題趨勢及應用調查分析部長現在新興議題是什麼怎麼樣報告趙偉比如說用AI怎麼用AI打炸怎麼用AI來增加我們的一些政府的效率像這些議題你打炸費用很多確定是這一條嗎新興議題是開放性的
transcript.whisperx[106].start 4412.452
transcript.whisperx[106].end 4437.447
transcript.whisperx[106].text 譬如說你把新議題丟什麼進去譬如說採購法譬如說採劃法民眾的反應然後分析之後給我們坦白講我們是蠻困擾這些的整個政府的機器你要丟什麼議題而今天可能羅志強三個是丟進去變成一個新興的議題然後要怎麼樣去分析我覺得這個東西太過抽象而且有點讓人害怕
transcript.whisperx[107].start 4438.047
transcript.whisperx[107].end 4457.658
transcript.whisperx[107].text 那這樣好不好 針對這個我來處理一下啦 就是三減兩千萬好不好 三減兩千萬好 太少齁 那我們就保留院會送協商好不好 我們就保留院會送協商好 接下來處理第十二到第十五案 也是通案
transcript.whisperx[108].start 4459.638
transcript.whisperx[108].end 4466.862
transcript.whisperx[108].text 業務費 一般事務費那我們提案委員有沒有要補充說明的好 林培長委員謝謝主席基本上來講我會認為說這575萬這個預算來講的話如果說以去年的功效來講
transcript.whisperx[109].start 4479.209
transcript.whisperx[109].end 4500.806
transcript.whisperx[109].text 這個老實講在表現的平台上面其實成效很有限像說YT的訂閱數只有3500人不到那那個臉書的平均貼文互動數只有雙位數Instagram追蹤數可能比我們現在每個委員這邊的話還要少所以說我會認為這一般事務費上面基於尊潔政府預算以利開遊節援我會在這邊3.340萬以上
transcript.whisperx[110].start 4504.989
transcript.whisperx[110].end 4512.896
transcript.whisperx[110].text 好 那還沒有委員要補充發言好 沒有發言 來 請你們說明一下因為我的書面寫得很清楚 你們一定說明吧好 數位政府司 來
transcript.whisperx[111].start 4528.889
transcript.whisperx[111].end 4551.708
transcript.whisperx[111].text 謝謝委員 我們針對第12題的部分就是有一般事務費從600萬增加到增加了400多萬的這個部分那其實這裡面大部分都是因為我們之前的預算編列是由案件記酬然後現在因為那個預算科目我們覺得編到一般事務費比較合理 所以我們把它移過來那其實並沒有做大幅增加 其實整個
transcript.whisperx[112].start 4552.408
transcript.whisperx[112].end 4562.293
transcript.whisperx[112].text 我們這一塊經費從9122還降到了7547所以其實是並沒有增加很多的以上好 林國誠委員現在是12案到15案我沒有提案 抱歉我看錯
transcript.whisperx[113].start 4574.58
transcript.whisperx[113].end 4595.943
transcript.whisperx[113].text 好 針對這個第十二案到第十五案通案我們這個通案的一般數倍向下是六千四百五十八萬那我們看到各委員的一個提案那我們就有三減一千八百萬跟到兩百萬 三百四十萬 五十萬我們就三減五百萬
transcript.whisperx[114].start 4597.148
transcript.whisperx[114].end 4602.99
transcript.whisperx[114].text 三減五百萬 凍結10%然後提書面報告使得動之各位委員有沒有其他意見折衷一下 五百差不多我們把所有提案委員的稍微balance一下沒有意見我們接下來往下處理
transcript.whisperx[115].start 4623.789
transcript.whisperx[115].end 4625.856
transcript.whisperx[115].text 客戶自行調整啦 好不好
transcript.whisperx[116].start 4632.936
transcript.whisperx[116].end 4660.014
transcript.whisperx[116].text 接下來處理16到31案一樣是通案我再提醒一下通案因為等於第幾目還沒開始審現在是通案所以待會再審到各目的時候可能還會有凍結會刪這是累加性的你們自己的財主單位你們自己去計算我不會幫你計算的第16到第31案通案業務費國外旅費這個部分提案委員蠻多的有沒有要補充說明的
transcript.whisperx[117].start 4660.851
transcript.whisperx[117].end 4681.164
transcript.whisperx[117].text 好 林國成委員 林沛翔委員 羅志強委員 翁曉琳委員好 秋龍華委員第17案 我主張是刪1500萬但是經由溝通 為什麼要刪1500萬主要是這裡面出國有些寫得非常明確
transcript.whisperx[118].start 4682.465
transcript.whisperx[118].end 4704.407
transcript.whisperx[118].text 幾例他到德國的這個漢諾威工業啊等等這些很清楚的那當然我們一定會支持那有一部分是寫的不清楚所以在這裡我還是建議不一定一定要刪到1500萬但是適度的刪是有必要的這是以上建議主席好 林沛翔委員
transcript.whisperx[119].start 4708.462
transcript.whisperx[119].end 4730.941
transcript.whisperx[119].text 對不起喔還是我以前在民主基金會在民主基金會看民主這兩個字就覺得說真的貓膩很多要民主是網路然後說你去漢諾威我剛才問漢諾威幹嘛去看電腦展然後我會覺得說這個錢是不是這樣亂花國外旅費尤其是民主網路的連結那乾脆把這2000多萬全部分給民主基金會就好了嘛民主基金會的預算談不到3億耶那我們這邊動不動就2000多萬就不見了
transcript.whisperx[120].start 4732.95
transcript.whisperx[120].end 4757.294
transcript.whisperx[120].text 那老實講民主基金還要補助其他的地方那跟從這個速發部的經費直接轉到外交部民主基金會去那還比較實在一點所以我覺得民主網路如果你們只去看這個所謂的電腦展那其實有很多其他的科目你們應該要編而不是編在這個民主網路說什麼什麼通傳通傳網路任性這點我覺得我覺得這個編列預算太腐爛了以上好接下來羅志強委員
transcript.whisperx[121].start 4761.892
transcript.whisperx[121].end 4768.317
transcript.whisperx[121].text 我覺得速發部過去有一個民間大家非常熟悉的別名叫做出國發展部
transcript.whisperx[122].start 4769.505
transcript.whisperx[122].end 4796.651
transcript.whisperx[122].text 那為了找出國的理由真的是都非常有創意連民主網路都編出來了你今天數位發展部到底跟民主網路什麼關係啊你數位發展部就是專注於今天數位發展的本務那什麼灌到民主以後就變成堂而皇之的正當性了嗎但是我今天講最根本的問題國人對於速發部所期待的打詐的業務速發部你教出了多少成績
transcript.whisperx[123].start 4798.035
transcript.whisperx[123].end 4802.529
transcript.whisperx[123].text 你不專注於本業一天到晚搞一些所謂唐鳳式的那種
transcript.whisperx[124].start 4804.243
transcript.whisperx[124].end 4830.829
transcript.whisperx[124].text 虛晃然後呢這個奢華式的這種所謂的做法那說真的我們今天為了來幫助人民來去監督人民納稅錢同時也勉勵今天速發部一起唐鳳門封啦不要再繼續用唐鳳這種所謂出國發展部的精神來去揮霍政府預算所以在這邊我們覺得應該要督促速發部
transcript.whisperx[125].start 4832.149
transcript.whisperx[125].end 4849.649
transcript.whisperx[125].text 少浪費力氣在一些非本務的事務上多集中心力好好的把抒發部的本務本業以及人民最期待的打詐工作把它做好所以在這部分的話我是提案我們抒發部在114年出國預算就高達2220萬
transcript.whisperx[126].start 4852.873
transcript.whisperx[126].end 4868.429
transcript.whisperx[126].text 那在34個中央機關其實排名第5名出國計畫高達20項超越外交部的15項所以因此才博得了出國發展部的美名所以在這個地方幫你把這個美名摘下來所以我的提案是减列1000萬元 凍結80%謝謝
transcript.whisperx[127].start 4873.994
transcript.whisperx[127].end 4890.321
transcript.whisperx[127].text 好 接下來請翁小玲委員發言陳若光 羅志祥委員說得很好數位發展部已經不是重點在發展數位技術而是以出國文明
transcript.whisperx[128].start 4891.161
transcript.whisperx[128].end 4906.78
transcript.whisperx[128].text 那麼本席在看到這次速發部所列舉的相關的國際會議的計畫裡面發現有些部分計畫是根本不需要速發部去參加的譬如講說這個涉及到數位經貿議題
transcript.whisperx[129].start 4908.342
transcript.whisperx[129].end 4932.484
transcript.whisperx[129].text 台美安全對話會議等等這些出國考察這個部分其實經濟部或是其他的單位就可以去參加了台美安全對話會議這可能也是國安會或是外交部等等他們去談就可以了那麼書發部不曉得為什麼還要出席類似這樣的會議此外涉及到像網路民主
transcript.whisperx[130].start 4932.944
transcript.whisperx[130].end 4933.284
transcript.whisperx[130].text 好 接下來請邱鶴華委員
transcript.whisperx[131].start 4963.555
transcript.whisperx[131].end 4972.497
transcript.whisperx[131].text 謝謝主席 本席提的是第16案 一樣針對國外旅費速發部112年的旅費是1408萬113年的時候編了3133萬那114年的時候編了2220萬雖然跟去年比起來少了913萬 可是依舊高達2220萬還有速發部跟資產署編列的方式是一樣的
transcript.whisperx[132].start 4988.16
transcript.whisperx[132].end 5007.829
transcript.whisperx[132].text 十九項出國的會議其中有十項的地點都只有敘述歐洲北美亞太地區超過百分之五十那本席是認為如果出國的計畫都只是這樣敘述的話那我們要怎麼把預算編給你們來執行所以本席這邊有提案檢列五百萬以上說明好謝謝委員好許智傑委員
transcript.whisperx[133].start 5015.699
transcript.whisperx[133].end 5025.406
transcript.whisperx[133].text 謝謝主席其實書發部當然現在網路很興盛用視訊也很方便但是很多事情本來還是要碰面談嘛
transcript.whisperx[134].start 5026.445
transcript.whisperx[134].end 5046.219
transcript.whisperx[134].text 你說那個出國的經費事實上拙減我是可以或是拙動我是可以同意的但是那個數量其實還是要少一點因為有一些的確是跟世界各國的一些串聯還是要見面談才會比較有效果所以我是建議說還是要多保留一點謝謝好 陳樹葉早委
transcript.whisperx[135].start 5053.069
transcript.whisperx[135].end 5076.321
transcript.whisperx[135].text 好謝謝主席那就是抒發部是新成立的一個這個單位那當然就是在成立之初這個在出國旅費的編列上確實是有被外界來詬病那就我所知就是說在明年度在這個國外旅費的部分我們黃部長也有做一個
transcript.whisperx[136].start 5077.801
transcript.whisperx[136].end 5106.907
transcript.whisperx[136].text 盤整之後做一些簡略了那是不是這個部分請黃部長等一下要做一個說明讓各位委員了解那當然就是說針對明年度的這些出國計畫他的一個必要性你要做一個充分的一個說明那另外許多委員對這個民主網絡之連結與創新這個名詞有很大的意見那本席是認為說這個應該就是在這個部門成立之初的一個預算科目
transcript.whisperx[137].start 5107.887
transcript.whisperx[137].end 5132.695
transcript.whisperx[137].text 預算科目的就是這樣子的一個定調了那如果說大家對這個名詞覺得太廣泛有意見我是不曉得說之後在會計部門這個科目是不是可以再做一個適當的修正做一個更具體的讓大家可以知道對對所以是不是應該要把這個科目做一個修正這是我一個建議謝謝
transcript.whisperx[138].start 5134.496
transcript.whisperx[138].end 5141.189
transcript.whisperx[138].text 好謝謝陳時委召委還有林俊憲委員還有單位李昆哲委員好謝謝主席
transcript.whisperx[139].start 5142.84
transcript.whisperx[139].end 5159.567
transcript.whisperx[139].text 各位同仁可見大家對蘇發布出國這個都很有意見蘇發布的出國預算在過去幾年像去年今年今年原本編了3700萬在委員會也被刪除600萬變成3133萬那你明年這新部長
transcript.whisperx[140].start 5170.967
transcript.whisperx[140].end 5179.857
transcript.whisperx[140].text 他又提了2220萬其實已經又比今年再減少30%了啦我認為就塑化部他的出國預算啦
transcript.whisperx[141].start 5181.314
transcript.whisperx[141].end 5207.055
transcript.whisperx[141].text 在委員會這邊每次都受到委員很強烈的批判所以他的預算其實已經就明年來講也比今年有自己自己砍掉38了但是你今年的執行坦白講也不是很好你今年大概也有好幾張計畫不知道有沒有執行不知道今年的執行可以達到多少那待會也請部長那個說明一下
transcript.whisperx[142].start 5208.116
transcript.whisperx[142].end 5233.846
transcript.whisperx[142].text 尤其你就明年的出國預算的相關部分更是應該要事先有對委員讓委員有所了解才對所以我們待會也請部長就你未來重點出國的諮詢幾項計畫也讓委員會了解一下好以上謝謝好李坤哲委員謝謝召委數位部我認為最認真的人是他們的國會聯絡人
transcript.whisperx[143].start 5241.043
transcript.whisperx[143].end 5255.866
transcript.whisperx[143].text 但是你們其他的針對預算的溝通啊能力啊以及啊勤奮的程度啊真的是要多多的檢討部長也很認真啊部長你一上任啊你這個出國的預算就已經減少了20%主動自己就減少20%少了900多萬啊
transcript.whisperx[144].start 5262.937
transcript.whisperx[144].end 5280.913
transcript.whisperx[144].text 這個針對出國的數位部已經有自己自行的一個初步的檢討第二說明也不夠清楚你們現在還有民主網絡師嗎你們現在不是叫數位國際師了嗎你們有跟委員來做說明嗎現在還一直在
transcript.whisperx[145].start 5282.654
transcript.whisperx[145].end 5303.144
transcript.whisperx[145].text 在這個名稱上面大家一直在罵民主網絡什麼之連結你們現在已經叫蘇衛國際師了所扮演的角色跟內涵跟原則應該要更清楚的跟委員來做說明嘛我跟各位委員說明那現在他們已經自行減列了900多萬就是減少了20%但是我們現在他們有2220萬
transcript.whisperx[146].start 5308.487
transcript.whisperx[146].end 5323.111
transcript.whisperx[146].text 那其實應該給部長以及相關的官員清楚的說明相關預算編列的必要性以及詳細的內容情形因為我們相關的說明這也是我們預算書編列的一個問題這個預算說明的
transcript.whisperx[147].start 5326.212
transcript.whisperx[147].end 5355.086
transcript.whisperx[147].text 各位空間沒有那麼大沒有辦法一一的把相關的計畫都清楚的說明但是官員在委員質詢的時候針對預算的內容提出問題的時候就必須要清楚的說明尤其是相關的部長以下的這些負責的這些局處首長應該都有能力來做說明如果沒有能力你們還為什麼可以坐在這個職位上以上好我們先請社會部說明
transcript.whisperx[148].start 5357.447
transcript.whisperx[148].end 5370.434
transcript.whisperx[148].text 謝謝趙委員 各位委員的確像剛剛委員提到就是我上任之後第一件事就檢討我們的出國預算那時候我也要求各司數把他出國未來的計畫報給我知道然後經過討論之後我自己刪掉30%在今年出國
transcript.whisperx[149].start 5377.898
transcript.whisperx[149].end 5398.008
transcript.whisperx[149].text 這個保留的預算其實有一些蠻重要是因為我們很多很多的會議第一個必須要因為牽涉到基民比如說資安的演練資安的親自的討論牽涉到這檔問題或者是一些數位經濟的發展需要需要這個他們的主辦單位並不接受視訊所以我們只好現場參加
transcript.whisperx[150].start 5400.689
transcript.whisperx[150].end 5421.436
transcript.whisperx[150].text 那另外就是說有很多時候這是一種外交因為如果對方邀請是一個部長級或次長級的一個討論的話我們也只好派出部長或次長去參加所以有幾個會議是由次長或是由我自己參加的一個FOC是一個部長級的會議包括跟美國國務卿的一個這樣的一個研討會所以這種會議有的時候是因為國際外交的關係
transcript.whisperx[151].start 5425.437
transcript.whisperx[151].end 5444.847
transcript.whisperx[151].text 用數位的理由來去參加國際的這樣外交的會議現在有很多這樣的活動所以我們會需要保留一些經費對第一個是當然在在剛剛講AI數位經濟或者是治安韌性上面的一些交流另外就是說在我們的數位外交現在我們部裡面扮演一個很重要的角色
transcript.whisperx[152].start 5446.368
transcript.whisperx[152].end 5471.244
transcript.whisperx[152].text 至於出國民主網絡這個名字我們可以拿掉科目可以改因為這個確實我上任之後也決定把這個名字以前叫民主網絡現在叫數位國際視他就是負責跟國際我們就是以他實際工作就是叫做數位國際視我這個有在行政院經過申請這是我大概二個小時的名字是不是再請國際視做簡單的補充
transcript.whisperx[153].start 5477.029
transcript.whisperx[153].end 5493.75
transcript.whisperx[153].text 有一個剛委員的提案在出國預算的兵力部分的確剛委員有提到說目前的科技發展其實非常先進所以在數位發展部如果說對方的國際會議他是可以線上參與的部分
transcript.whisperx[154].start 5494.37
transcript.whisperx[154].end 5504.555
transcript.whisperx[154].text 我們基本上就是線上參與比如像WTO的一些工作會議我們都是線上出席可是有些部分的會議的話必須就是會議主辦對方的一個
transcript.whisperx[155].start 5509.597
transcript.whisperx[155].end 5529.203
transcript.whisperx[155].text 安排有些部分是沒有辦法說用線上會議那比如說像是亞太是我們那個亞太經濟合作組織還有包含說自由線上聯盟FOC還有我們非常重要的ICANN就是網際網路名稱子域這些東西都必須這些會議都必須是線上出席所以我們才編列
transcript.whisperx[156].start 5530.063
transcript.whisperx[156].end 5557.846
transcript.whisperx[156].text 那另外剛剛各位委員也有提到說那數位經濟跟數位發展部有什麼關係那這邊跟委員各位報告因為在疫情的發展過程中各個國家都知道發現數位發展是對整個經濟方式非常重要的所以各國也積極在推動數位經濟相關的談判那跟委員報告包含說我們現在跟英國在談的這已經公告了英國的ETP這個協議已經是談到一個初步了
transcript.whisperx[157].start 5558.326
transcript.whisperx[157].end 5579.618
transcript.whisperx[157].text 那後續另外還有一個包含台美21世紀裡面也有數位相關議題在裡面那當然其他還有非常多是其他部會主戰希望我們能夠去談的數位經濟相關議題那第三個部分呢就是因為有些的業務呢它是比較機敏的像我們在談的剛剛部長所說的
transcript.whisperx[158].start 5581.059
transcript.whisperx[158].end 5599.748
transcript.whisperx[158].text 資安合作相關的議題那因為這些東西在還沒有真正談成之前其實我們沒有辦法說對外去做宣告所以有些預算的部分我們就會比較就是編法會比較說沒有去很直接的指明說我要跟哪一個國家去談以上說明
transcript.whisperx[159].start 5600.948
transcript.whisperx[159].end 5629.867
transcript.whisperx[159].text 好的那我先請教一下這個簡單的問題我們剛剛已經我們上禮拜已經處理過的資安署資安署你的署內的預算編國外旅費多少錢因為你們是堆疊的你現在講半天我們資安要怎麼樣出國要出國但他已經編了你目前已經通過是多少錢這個不用猜吧你的資安署資安署目前我們上禮拜通過的是你出國國外旅費是多少錢
transcript.whisperx[160].start 5632.136
transcript.whisperx[160].end 5633.418
transcript.whisperx[160].text 我們是700萬但是761萬但是我們
transcript.whisperx[161].start 5655.201
transcript.whisperx[161].end 5675.511
transcript.whisperx[161].text 你們總共是多少七百六十一萬六千塊然後刪掉五百五百萬刪掉五百萬剩兩百多萬嗎是這樣嗎不要亂講啦好好好你去想一下好好想一下那個產業署產業署產業署來你出國預算我知道也有三
transcript.whisperx[162].start 5676.691
transcript.whisperx[162].end 5685.116
transcript.whisperx[162].text 因為你們編的比較混你們目前剩下多少來講一下我們編324萬那被委員會刪除100萬所以我們變224萬OKOK好那那個其實齁這個我們包括兩個數算出來多少對剩下多少啦
transcript.whisperx[163].start 5699.85
transcript.whisperx[163].end 5726.181
transcript.whisperx[163].text 剩下600多嘛就是這是一個背景啦就是說剛剛談到治安啊產業署這個很多的業務都要出國開會我們理解但事實上我們在審過兩個署的預算的時候都有留一下留一些出國的費用不是沒留啦那這樣好不好我們是不是先嘗試的處理一下好不好嘗試的處理一下三八七六二五十九年東捷四趴天安路明澤
transcript.whisperx[164].start 5727.711
transcript.whisperx[164].end 5741.924
transcript.whisperx[164].text 我剛剛聽完我們出國發展部的補充說明之後我突然有點後悔啦我要道歉一下我覺得簡列的還不夠多我支持林國成委員的簡列案或者是汪小英委員的簡列案
transcript.whisperx[165].start 5743.761
transcript.whisperx[165].end 5768.32
transcript.whisperx[165].text 結果搞了半天我們在那邊都是瞎忙什麼啊你跟我講民主網路現在又說民主網路不重要了那你全部憋以民主網路來去搞你的這個出國的這個所謂的正當性到底存在在哪裡你賣的是羊頭還是狗肉都沒搞清楚的時候你叫我們這邊怎麼去幫你去來去審你的出國的預算啊因為你的方向都搞錯了嘛就我們講的就是莫名其妙的一個單位
transcript.whisperx[166].start 5769.821
transcript.whisperx[166].end 5774.325
transcript.whisperx[166].text 你速發部 我要先講完啦我要先跟大家講為什麼今天我們的速發部會變成出國發展部
transcript.whisperx[167].start 5781.448
transcript.whisperx[167].end 5807.177
transcript.whisperx[167].text 因為在過去唐鳳的時候 到底不能完全怪你們嚴習唐鳳之風 我覺得是大大不可啦所以在這邊 我覺得我就支持我們林國成委員的提案減電一千萬還太少你今天好好的把你的所謂的那個抒發物本業做好的話來年我們看到你的業績之後的話再去斟酌是什麼樣是必要的所謂的出國的費用
transcript.whisperx[168].start 5807.737
transcript.whisperx[168].end 5829.408
transcript.whisperx[168].text 就像剛剛主席也講了啊有些包括資安署或其他的各個底下的各個所謂的部門事實上出國預算仍然是在我待會還要講一個連資安維護費都搞了一堆所謂出國交流的一些項目在裡面你們真的就是出國發展部不喊你們真的有點對不起我們全國老百姓謝謝
transcript.whisperx[169].start 5830.689
transcript.whisperx[169].end 5838.333
transcript.whisperx[169].text 蘇發部跟去年2024比起來已經有自己有大概砍30%但是提供另外一個思考
transcript.whisperx[170].start 5853.86
transcript.whisperx[170].end 5876.667
transcript.whisperx[170].text 去年伏編的是比較嚴重所以是會嘩然那如果說以112年度其實速發部的出口預算的決算數才1342萬9千元那我可以給這個數字也給主席參考一下因為這個數字其實跟2025年編列的預算的落差也是蠻大的給主席參考
transcript.whisperx[171].start 5878.176
transcript.whisperx[171].end 5902.873
transcript.whisperx[171].text 好 林俊憲委員好 謝謝主席剛剛部長那個說明部長你要講清楚因為我剛剛聽羅志強委員質疑那個民主網路你的剛剛說的意思是你現在改名為數位國際對啦所以不是你
transcript.whisperx[172].start 5904.554
transcript.whisperx[172].end 5930.161
transcript.whisperx[172].text 就說你編這個預算的時候單位名稱還是舊的名稱啦那名稱還沒改他說叫做什麼民主網路網路師嘛那你現在這個你現在這個名稱已經改為數位國際師的意思啦你剛剛講的是這樣嘛所以不是什麼民主網路什麼重不重要其次那只要就是你名稱那你名稱這個部分應該讓我們搞清楚啦再來第二個齁
transcript.whisperx[173].start 5931.933
transcript.whisperx[173].end 5954.974
transcript.whisperx[173].text 國際在蘇華部最主張刪預算的北京也是啦今年為什麼刪了六百萬那時候就是在委員會我們要處理掉但坦白講這個黃部長你算多少錢啦你自己送到編名的預算送到委員會來以前你自己又刪了九百萬對不對其實你就部長如果要
transcript.whisperx[174].start 5956.854
transcript.whisperx[174].end 5980.348
transcript.whisperx[174].text 他可以照今年的預算送進來啊然後讓你砍啊他已經自己先砍了30%這點我們在審預算的時候大家考量進來啦也就是說他已經把自己的出國預算自己先減內900萬或者如果他預期會被刪他就灌水進來就好了 是不是這樣這普天也算是比較務實啦
transcript.whisperx[175].start 5982.009
transcript.whisperx[175].end 5997.649
transcript.whisperx[175].text 那另外更早以前幾年度是因為那時候有疫情本來那時候出國預算都很少所以我是覺得如果以他自己就已經減劣了900萬這點我們應該在預算審查的時候也要納入考量
transcript.whisperx[176].start 6006.192
transcript.whisperx[176].end 6022.878
transcript.whisperx[176].text 那今年度的預算在去年省的時候我跟林俊憲委員事實上是對於對於數位發展部的出國預算這麼多早就有意見了那所以去年在省今年度的預算的時候我們是要求要刪減
transcript.whisperx[177].start 6024.378
transcript.whisperx[177].end 6045.399
transcript.whisperx[177].text 那刪減了之後呢今年看到明年度的預算第一個我覺得數位發展部沒有說明清楚是第一個應該在審預算之前要拜會各個委員要讓各個委員知道說你在這個出國預算因為去年已經備受質疑今年你有自治之民你已經非常的
transcript.whisperx[178].start 6046.84
transcript.whisperx[178].end 6060.828
transcript.whisperx[178].text 橫頻的而且呢很扎實的去盤點過哪些是必要的出國計畫跟預算所以呢不必要的你已經自砍了900萬第一個這個你沒有說明清楚所以大家會誤解也不知道第二個
transcript.whisperx[179].start 6061.528
transcript.whisperx[179].end 6081.015
transcript.whisperx[179].text 好 你自己刪減了900萬之後呢現在看起來又編了這2000多萬出來預計在明年度使用你也沒有到各個委員會包括我的辦公室你也沒有來跟大家說明清楚你編在明年度這2000多萬哪些是你盤點過後是必須要去的國際會議
transcript.whisperx[180].start 6082.355
transcript.whisperx[180].end 6095.333
transcript.whisperx[180].text 所以才會有這些旅費 國外旅費那這個每一項計畫 每一個出國的項目每一個預算的一個細目我覺得這個都是可以公開透明攤給大家看而且必須讓國人知道
transcript.whisperx[181].start 6098.317
transcript.whisperx[181].end 6113.079
transcript.whisperx[181].text 那這樣子大家才能夠支持你的預算那這兩點你都沒有說明清楚難怪現場現在所有的委員有質疑那包括我也有質疑啊你剛剛請你們的這個你說已經改名叫什麼民主以前叫民
transcript.whisperx[182].start 6114.181
transcript.whisperx[182].end 6133.56
transcript.whisperx[182].text 以前叫什麼忘記啦 現在叫數位國際司啦那數位國際司呢 這個承辦單位你司長剛剛在說明的時候你也沒有說明清楚說明年編了這兩千多萬到底哪幾個部分是屬於我的那我明年要打算去哪幾個會議所以我需要哪些錢
transcript.whisperx[183].start 6134.981
transcript.whisperx[183].end 6155.465
transcript.whisperx[183].text 說不清楚啦 你說不清楚人家要你支持就很困難了包括剛剛很多人都有提出要刪減的數額嘛你其實誠實拜託公開透明一一攤開告訴大家你明年度到底有哪幾項國際會議是必須要出國的必須要到場的而且是重要的
transcript.whisperx[184].start 6155.925
transcript.whisperx[184].end 6174.824
transcript.whisperx[184].text 是讓台灣可以跟國際連結也參與在不管是資訊的互相交換或者是資安的系統互相的國際連結建置等等這必要的重要性的那你就要講清楚啦好不好不然我也會支持其他委員說拙簡喔好不好謝謝
transcript.whisperx[185].start 6176.405
transcript.whisperx[185].end 6191.02
transcript.whisperx[185].text 好我想這個今天雖然這個預算數2220萬餘元但是我們所有的委員感覺200億的已經很激烈討論了快大半圈我覺得第一個啦說真的你們
transcript.whisperx[186].start 6192.422
transcript.whisperx[186].end 6218.559
transcript.whisperx[186].text 這個數位部其實你們業務很抽象因為很高端嘛那我們可以理解可是你們事實上包括師長署長能不跟立委來派會能不來解釋能閃能躲我坦白講就交通部跟你們數位部來講我跟你們是真的不熟悉我不知道有沒有委員跟他們很熟的啦真的不熟悉啦所以也不知道不知道說真的啦對很多是沒有信心的原因是說
transcript.whisperx[187].start 6219.58
transcript.whisperx[187].end 6234.148
transcript.whisperx[187].text 你們盡量不跟委員去談 審視所以事情在這邊肯定會比較複雜一點嘛那這個部分是不是 這樣好不好再統一 再說明一次我們來處理好不好 來你們還要再補充說明嗎
transcript.whisperx[188].start 6235.809
transcript.whisperx[188].end 6259.089
transcript.whisperx[188].text 還是剛都說過不要重複喔這樣喔你們說明一下你們已經改了詩可是你們的預算預算根本沒有改是一樣民主網路連結為什麼裡面內容不是什麼數位國際連結呢還是說改假的怎麼回事還是明年會改
transcript.whisperx[189].start 6260.31
transcript.whisperx[189].end 6265.633
transcript.whisperx[189].text 之前的預算書是比較早期就已經送進來數位國際市的市名是在今年的11月發布改過來的所以會有時間的落差
transcript.whisperx[190].start 6283.243
transcript.whisperx[190].end 6307.367
transcript.whisperx[190].text 那第二個就是剛剛委員有詢問說那數位國際的業務有哪些會議是必須要去出席的那剛剛有跟委員包含說像我們自己主政主政的IPAD還有經貿相關的會議還有包含FOC相關還有包含我們ICAN這些都是
transcript.whisperx[191].start 6307.887
transcript.whisperx[191].end 6332.797
transcript.whisperx[191].text 整個數位發展領域裡面大家非常關鍵而是必須要實體去參與的會議那所以這些會議也就是當初在籌編的時候部長重新再審視過一些不需要的我們就全刪了那目前所留下的部分都必須為了整個數位發展而必須出席的會議還請各位委員支持
transcript.whisperx[192].start 6334.056
transcript.whisperx[192].end 6343.899
transcript.whisperx[192].text 好 那準備處理了啊 那個林國仁有什麼建議那個黃部長你是老實人啊這個民主兩制啊歷史淹人啊 你們就要檢討這個是蘇貞昌院長的時候民主 你們是用這種東西來闖關欸 以前是
transcript.whisperx[193].start 6355.595
transcript.whisperx[193].end 6369.524
transcript.whisperx[193].text 一黨獨大的時候是可以這樣好不好你們難道連這個你拿來貼一貼那主計人員認為名字可以改項目不能改名字可以改你就拿來貼一貼這個問題不是解決了嗎
transcript.whisperx[194].start 6371.926
transcript.whisperx[194].end 6396.618
transcript.whisperx[194].text 你們還送來什麼民主 你難怪人家說實在的 難怪人家有意見什麼叫做民主 跟整個資訊有關所以你們就很喜歡這樣不要再越說越多所以我在看我是同行部長的這部長根本都不知道你們這些幕僚就很喜歡在那邊拐彎抹角
transcript.whisperx[195].start 6398.223
transcript.whisperx[195].end 6423.525
transcript.whisperx[195].text 對不對剛剛給你們凍結五百萬你們還在那邊囉哩巴嗦所以什麼叫做民主啊你們都解釋不清楚所以我還是建議真的我還是建議要改你們就盡快改不要假民主啊去做這些預算的闖關這一點說實在的我是看不過去啊我是人家刪一條對你們都很通融的但是我還是要建議部長啊
transcript.whisperx[196].start 6424.586
transcript.whisperx[196].end 6442.613
transcript.whisperx[196].text 很有經驗啦 這遺傳喔 你要好好去研究一下這些人喔 過去遺傳都胡編得很厲害你如果要整理 你就整理一下我相信 數位部不是今年就結束啦明年還是會有明年再把民主送出來 我也主張全部都刪
transcript.whisperx[197].start 6443.633
transcript.whisperx[197].end 6452.758
transcript.whisperx[197].text 真的來 林沛翔委員主席我們討論這麼久本席建議我們直接刪減800萬元凍結20%以上
transcript.whisperx[198].start 6456.735
transcript.whisperx[198].end 6480.494
transcript.whisperx[198].text 好那我們針對於這個第16第31案到31案通案業務費國外旅費這樣好不好因為我們看到裡面3減從500萬到2000萬都有啦那我們是不是就3減800萬凍結20%提供去年的就13年的一個具體的一個成果跟明年的計畫使得凍資
transcript.whisperx[199].start 6483.458
transcript.whisperx[199].end 6490.114
transcript.whisperx[199].text 來 各位等一下 我問委員好不好各位委員有沒有三太嫂是不是陳總理
transcript.whisperx[200].start 6492.443
transcript.whisperx[200].end 6509.48
transcript.whisperx[200].text 我是覺得說我們還是持平來檢討啦因為我覺得說你跟他刪了800萬可能對他們的一些業務執行上可能會有一些比較摯愛難行我是今天說是不是我們就小刪200萬然後因為已經刪了30%了因為他們已經自刪30%了
transcript.whisperx[201].start 6513.724
transcript.whisperx[201].end 6537.352
transcript.whisperx[201].text 我想對阿黃部長已經很務實了啦因為依然說教育股你的數字送進來當然讓你刪八百萬是是綽綽有餘啦我是覺得說我們就小刪兩百萬然後讓他們明年度的一個表現啦那因為我們應該下次還是會會再來有機會再審到啦做一個持平的建議 謝謝來 羅志強委員
transcript.whisperx[202].start 6543.177
transcript.whisperx[202].end 6566.182
transcript.whisperx[202].text 我們針對於我覺得主席已經很客氣了啦我覺得三八百萬很客氣了如果說這個主席這個八百萬的客氣仍然不能夠讓這個書發部覺得可以接受的話那就保留我覺得政黨協商你就看會刪多少所以在這邊我是支持主席說三八百萬我覺得已經是很合理了那不然就保留嘛對 謝謝
transcript.whisperx[203].start 6571.024
transcript.whisperx[203].end 6586.672
transcript.whisperx[203].text 你還有什麼補充說明嗎這一條可以處理啦我剛剛特別強調我們已經自己刪了九百萬去年是刪六百萬那我們今年自己先刪九百萬所以說如果九百萬再加八百萬就變成一千七百萬
transcript.whisperx[204].start 6589.053
transcript.whisperx[204].end 6604.819
transcript.whisperx[204].text 那這樣好不好 折衷一下因為我們二輪 其他委員會可能還有要提 那是他們的後面再提那我們這部分能處理的 我們還是處理一下那針對於這個國外旅費 那我們這邊就3減500萬 凍結20%
transcript.whisperx[205].start 6609.882
transcript.whisperx[205].end 6610.542
transcript.whisperx[205].text 科目自行調整使用
transcript.whisperx[206].start 6629.382
transcript.whisperx[206].end 6638.185
transcript.whisperx[206].text 各位待會這樣發言的我們就稍微針對重點感覺有點舉步維艱走不太動的感覺接下來審查32到41案有10位委員提案林備長委員
transcript.whisperx[207].start 6654.593
transcript.whisperx[207].end 6674.491
transcript.whisperx[207].text 謝謝主席本席提議的案子是在這邊提議比較多一點不過是針對我想針對第37案跟第40案來去做進一步的說明基本上來講講補助金真的過高我們這邊補助到五億六千萬在民主網路跟創新上面
transcript.whisperx[208].start 6674.591
transcript.whisperx[208].end 6693.624
transcript.whisperx[208].text 然後另外一方面在強化AI網路主動性防禦到8600萬甚至我們這邊看從38案開始37 38 39基本上都是相對很驚人的數字而且全部都是講補助費本席認為這是過於腐爛所以說本席認為應該做出一定程度的刪減以上
transcript.whisperx[209].start 6695.831
transcript.whisperx[209].end 6720.049
transcript.whisperx[209].text 好 接下來發言順序 林靜倩委員 李昆澤委員 黃建華委員 請林靜倩委員是喔 謝謝主席我也延續剛剛林佩祥委員的意見就是你編那麼多的一些預算 而且一些獎補助費但是我看一下你那個捐助計畫裡面並沒有相關杜絕詐騙犯罪問題的研究
transcript.whisperx[210].start 6721.01
transcript.whisperx[210].end 6744.219
transcript.whisperx[210].text 我覺得這個應該是目前民怨最深的部分啦我認為重點應該是在這個地方啦那為什麼這個地方的問題研究請問是沒有納入還是你在別的地方啦大學請你說明一下因為國能關心的是到底能不能有效的處理打炸的問題北京也有體檢類啦我是體檢類5000萬凍結10%啦那再請你送報告謝謝好 李坤哲委員旅遊推廣管理
transcript.whisperx[211].start 6750.702
transcript.whisperx[211].end 6778.183
transcript.whisperx[211].text 謝謝昭偉這個捐助的經費總共編列的預算是13億元那用途是為捐助團體辦理第三代互聯網分散式數位驗證推動架構還有無線電頻率合併相關干擾評估計畫也包含強化我國網路網際網路技術社群參與及觀測稀缺資源發展計畫等等
transcript.whisperx[212].start 6779.804
transcript.whisperx[212].end 6802.621
transcript.whisperx[212].text 那捐助的對象也包含財政法人電信技術中心財政法人臺灣網路資訊中心等等那這個部分 數位部有來跟我做說明我是可以同意改動預算五千萬一個月內提說明報告
transcript.whisperx[213].start 6804.022
transcript.whisperx[213].end 6826.595
transcript.whisperx[213].text 第三十四案是補助經費預算是六千零九十二萬這個部分社會部也來做說明就是說過去黑客松實際成果的應用包括建置全民參與街道改善平台導入建立高齡長輩為中心的照顧模式等等
transcript.whisperx[214].start 6827.395
transcript.whisperx[214].end 6840.673
transcript.whisperx[214].text 那其實我看他們也有補助地方政府的部分那也協助地方政府協動數位轉型那我原本是提案凍結預算500萬數位部來說明之後可不予凍結以上
transcript.whisperx[215].start 6844.349
transcript.whisperx[215].end 6862.314
transcript.whisperx[215].text 好接下來是黃建華委員再來葛如今委員好謝謝昭偉那我想這個獎補助費的部分我想大家對於補助地方政府大家是比較沒有意見但是我們看到各項的獎補助費光是我提的我們共提了37跟38這兩項就高達了這個8億左右8億8 9億那連包含說這個
transcript.whisperx[216].start 6867.535
transcript.whisperx[216].end 6871.543
transcript.whisperx[216].text 建置雲端核網提升行動通信網路認証計畫那還有這個39的晶片驅動產業創新再升級這個補助費裡面就
transcript.whisperx[217].start 6877.782
transcript.whisperx[217].end 6907.282
transcript.whisperx[217].text 大家想知道說到底數位部你的政策的目標是什麼那你提的這個計畫裡面這是你你的本職學能就是你們本來部門的業務呢還是說這必須要交給別人來處理那還有像這個這個晶片驅動產業創新再升級這部分這是你們的業務還是經濟部的業務就跟C之前講過就是數位部業務好像包山包海什麼都丟在你這邊來然後什麼都用這種繳補助費包在包在裡面那我要講其實前面包含委辦費已經也也都給也給你們了那結果你們現在又
transcript.whisperx[218].start 6907.942
transcript.whisperx[218].end 6935.695
transcript.whisperx[218].text 放了這麼多的獎補助的東西那這個獎補助費你們要補助哪些團體哪些公司或哪些這個計畫那達到什麼成效過去做得好不好那另外剛剛小偉也提到說我們提了這麼多案的凍結或刪減也是因為說大家最關注的是說你們對這個詐騙集團的技術要怎麼樣去克制要怎麼樣去控制但在這些獎補助費裡面你花好幾億在做這個事情但好像還是沒有成效因為大家最
transcript.whisperx[219].start 6936.82
transcript.whisperx[219].end 6960.343
transcript.whisperx[219].text 回到核心問題啦大家對數位部最核心的目的還是希望你們能夠在網路詐騙這一塊在數位詐騙上面能夠有一些成效但是如果這個計畫真的給你們都做下去了那能夠達成嗎還是不行還是這個錢是要做別的事情好這是我覺得大家提了這麼多凍結啊或提了這麼多刪減最主要原因所以在刪減的部分我覺得我們還是蠻堅持希望說這個數位部能夠尊嚴然後把這個項目說明清楚以上
transcript.whisperx[220].start 6961.772
transcript.whisperx[220].end 6982.441
transcript.whisperx[220].text 好 各位謝謝昭偉那這邊我echo一下第37案這個Mocon的這個技術做多網路的連結其實我在質詢的時候就有提過現在全世界都在做近地軌道衛星但是我們為什麼我們的多網路的連結的預算竟然比近地軌道衛星的計畫的預算還高
transcript.whisperx[221].start 6984.562
transcript.whisperx[221].end 7013.305
transcript.whisperx[221].text 那遇到這種極端的狀態或者是極端的事件的時候靜地軌道衛星的安全性跟韌性應該更強啊那為什麼我們的韌性計畫竟然是擴張上個世代或既有世代的東西而不是做下一個世代或者是各國都已經在增列的靜地軌道衛星的計畫呢這個是也希望了解的那這裡面呢講做預算的費用甚至高達5億所以這個應該要說明一下那第40案呢
transcript.whisperx[222].start 7014.145
transcript.whisperx[222].end 7036.053
transcript.whisperx[222].text 這個AI網路主動式防禦的關鍵技術研究計畫我想提出這樣的計畫我覺得還是予以肯定因為在HICOM還有一些這個資安的會議上都有看到部長都有親自出席還有很多的官員也親自出席那人工智慧運用在這個資安的防禦或者這個主動式或被動式的這個策略上其實各國已經有
transcript.whisperx[223].start 7037.013
transcript.whisperx[223].end 7050.722
transcript.whisperx[223].text 在這塊已經開始做了那我們在民間或者在政府相關的這個部會單位裡面也有接觸但是呢這個計劃書我們有跟相關單位要來仔細研讀了以後我們也認為
transcript.whisperx[224].start 7052.003
transcript.whisperx[224].end 7067.051
transcript.whisperx[224].text 有不够清楚的地方首先是在于KPI或者是目标目的的设定到底侦测的准确率要达几%供给回应的时间应该要缩短到多少的时间等等的具体目标我们是没有看到的
transcript.whisperx[225].start 7067.691
transcript.whisperx[225].end 7091.984
transcript.whisperx[225].text 甚至裡面還是有購買一些硬體比如說NVIDIA的這些H100等等的這些顯示的這個運算但是這個運算呢就我們的理解政府應該中央要有一個整體的編列而不是這裡買一組那裡買一組到時候大家實際上的算力反而是更分化的這個這樣的做法是不是有經過更細緻的評估跟需求這個要了解一下
transcript.whisperx[226].start 7092.984
transcript.whisperx[226].end 7114.074
transcript.whisperx[226].text 另外呢我們做這個AI網路的資安的這個技術不管你是sentence bird或者是graph neural network到底你這個用的是主要哪一個技術成熟度如何有沒有最小可行性的驗證已經在執行了或者國際上的成功的案例有沒有佐證我們在這個計劃書可能也還沒看到
transcript.whisperx[227].start 7114.874
transcript.whisperx[227].end 7128.83
transcript.whisperx[227].text 另外在人力配置的部分還有我們剛剛提到這個獎補助的部分到底有沒有第三方來協助進行評估驗證這個也是我們非常關注的因為資安跟數位本身它是黑盒子
transcript.whisperx[228].start 7129.531
transcript.whisperx[228].end 7158.835
transcript.whisperx[228].text 或者說它這是程式碼也好啦或者看不到摸不到的東西也好我們認為在這裡面的研發跟預算都應該要跟外界的單位不管是開放透明的組織也好或者是這些像G0V或者一些資安的協會等等我們應該要跟外界有更透明的這個連結藉由第三方的這個協作我們才能夠確保這樣子的一個人力或者獎注的分配是合理的
transcript.whisperx[229].start 7159.235
transcript.whisperx[229].end 7187.897
transcript.whisperx[229].text 否則的話我們是政府內部自己來評估自己來分配我們怎麼能夠確定會不會到時候重南輕北重北輕南或者是有可能怎麼樣的一個不平均的劃分這個也希望能夠予以說明否則的話我想這樣子數位我們都強調這個transparency強調這個open但如果我們在預算上面我們沒有看到這樣的transparency跟openness我想這樣的一個預算可能我們也是會有非常多的意見謝謝
transcript.whisperx[230].start 7190.336
transcript.whisperx[230].end 7210.392
transcript.whisperx[230].text 好 謝謝各位委員 來我們順序說明好 謝謝那個趙委員還有各位委員的指導那個我簡單的說一下我們這個講補助費主要是我們下面有三個重要的這個法人那一個就是TTC 一個是TITANRONIC然後這個就是治安院那有一些剛剛講的問題的研發都是在這三個單位要幫忙執行
transcript.whisperx[231].start 7211.132
transcript.whisperx[231].end 7229.29
transcript.whisperx[231].text 那這個強補助會主要是讓這三個法人能夠去幫整個樹花部甚至幫整個政府在做這方面的不管是政策推薦或技術的研發那我是不是細節 因為這裡面牽涉到好幾個單位我請任信司跟訴證司還有資源司這邊來做扼要的說明
transcript.whisperx[232].start 7235.156
transcript.whisperx[232].end 7256.217
transcript.whisperx[232].text 任信司就我們立委關切的這個補助案來看的話基本上跟委員報告就是在我們大概以任信司這邊來講的話我們著重在陸海空的通訊任信的這樣的一個建制那主要的這個計畫裡面有10個補助案基本上都像剛才我們
transcript.whisperx[233].start 7257.458
transcript.whisperx[233].end 7282.105
transcript.whisperx[233].text 部長所講的也是李昆哲委員所提示的就是我們補助我們轄下的財端法輪來強化在這個通訊任性方面的一個能量那這一個葛委員有關切到說我們這個這個MOKEN這個網絡行動這個5GC的這一塊那跟委員報告就是基本上確實當前的未來的這個趨勢有望在低軌衛星但低軌衛星基本上它還是
transcript.whisperx[234].start 7282.825
transcript.whisperx[234].end 7310.851
transcript.whisperx[234].text 還是目前還是只有少數的業者提供那我們會有這樣一個雲端5G基本上它就是一個應用極端企業下能夠提供給我們的政經級的機關能夠有強化它的一個通信韌性那歐企這個雲端會是將來有可能在極端的情況下有可能會把這個5G的這個行動網路能夠透過海外的這樣的一個雲端的核心系統來支持我們國內的行動通信
transcript.whisperx[235].start 7311.431
transcript.whisperx[235].end 7335.27
transcript.whisperx[235].text 那所以即使這兩個是扣在一起也就是說它也是有應用到低軌衛星也有用到雲端的這個5G的網路的通訊來強化我們的整個國家的通訊韌性以上先就這樣補充報告那這中間就是會用會補充比較多的這一塊就是因為明年要著重在屍體的這樣的建置 以上報告
transcript.whisperx[236].start 7338.012
transcript.whisperx[236].end 7358.91
transcript.whisperx[236].text 我記得沒有錯 上禮拜在審資安署的時候資安署已經有一筆很大的補助款已經給資安院了為什麼這邊重複編列為什麼這邊重複編列 記得嗎我記得那一次的時候有一個桌面還寫資安院院長跑過來解釋說你們到底做什麼業務的後來資安署那天我們就把資安署那筆經費補助款給過了那這邊為什麼剛剛是部長講的說要重新再補助資安院 為什麼要這樣做
transcript.whisperx[237].start 7364.636
transcript.whisperx[237].end 7377.494
transcript.whisperx[237].text 這會不會重複編列是同一個科目嗎是同一筆預算嗎好這個部分補助資安院的獎補助有多少錢沒有不理這一塊補助給資安院進行AI主動式防疫那個是8600萬
transcript.whisperx[238].start 7380.216
transcript.whisperx[238].end 7400.878
transcript.whisperx[238].text 8600萬對跟資安署那個補助他的一些那個是兩個是不同這是一個科技計畫四年期的今年是第一年這樣好那我們資安院麻煩你說明一下就是整體的從產業署資安署到數位部三個單位你到底接收多少資源啦讓我們知道一下
transcript.whisperx[239].start 7402.299
transcript.whisperx[239].end 7421.667
transcript.whisperx[239].text 好 謝謝趙委還有各位委員那我們治安院是行政法的所以它不像政治官員有預算原格的經常這個基本需求所以從112年我們掛牌到成立第二年大概每一年補助費補助費的話大概是像113大概是4.5億左右
transcript.whisperx[240].start 7424.868
transcript.whisperx[240].end 7444.845
transcript.whisperx[240].text 我們大概4.5億來支持相關的工作那跟委員報告就是說資安院當時立法院通過的條例裡面我們有幾個重要的任務除了協助政府的資安以外那第一個很重要列在第一條就是有關比較前瞻的一些資安的技術的研發
transcript.whisperx[241].start 7445.606
transcript.whisperx[241].end 7474.89
transcript.whisperx[241].text 那部分並沒有在剛剛委員講的資安署的那個補助計畫裡面那除了這個以外我們還協助一些產業所以資安院剛剛委員關心的包括這個AI的相關的技術的研發那葛委員給我們很多指導因為這個是一個全世界的趨勢那商業性已經有了我們不會研究但是呢部長認為說我們國內不管是一般的產業資安或資安產業大部分都是比較屬於中小型的企業所以資安院呢
transcript.whisperx[242].start 7475.79
transcript.whisperx[242].end 7502.083
transcript.whisperx[242].text 有內部的人員自行委外來開發出來以後除了協助政府以外也可以協助產業也可以做技術移轉我想從這個角度來希望我也能夠支持這樣的計畫 謝謝好 那誰知道資安院4.5億的組成來自三個單位的個多少來 那個資安署 謝署長來自 你補助多少你們三個要把4.5億湊齊讓我們知道在哪裡來 你這邊有給他多少不管透過計畫 透過什麼
transcript.whisperx[243].start 7503.664
transcript.whisperx[243].end 7531.758
transcript.whisperx[243].text 我的給他的補助款是1.211048000元就這樣的有沒有什麼透過其他計畫的有委外案但是委外案是公開招標所以資安院也可以來競標這樣子那產業署有沒有跟召委報告跟委員報告我們目前也是招標是2500萬也是用招標的方式那資安院招標的方式會固定給他們
transcript.whisperx[244].start 7532.638
transcript.whisperx[244].end 7552.516
transcript.whisperx[244].text 欸 不會 那個是看但是每一年剛好他飆到 是不是這樣欸 對 他跟那個公園約不是好好好 我知道 我知道技術不錯 好好好 技術不錯不是 就是他跟公園合作來 成功了你們目前為止只說明了大概1.5億啦還有3億在哪裡 誰說明一下不是 他錢到底在哪裡啊
transcript.whisperx[245].start 7559.522
transcript.whisperx[245].end 7575.293
transcript.whisperx[245].text 等一下這麼多人舉手話錢都藏在你們幾個市裡面是吧來統一說明一下還剩下3億在哪裡報告主席那個我們本部裡面全部捐114年捐助給治安院的是3.4億耶
transcript.whisperx[246].start 7577.354
transcript.whisperx[246].end 7592.765
transcript.whisperx[246].text 好 那這樣說明完畢 後面不用舉手了這邊3億多 可是我覺得今天預算省來這邊我們說不分黨派 講一個預算的特性你們其實已經固定要給這個行政法人多少錢
transcript.whisperx[247].start 7593.866
transcript.whisperx[247].end 7622.252
transcript.whisperx[247].text 可是有一些是常在譬如說具體的補助館給他行政費用有一些常在計畫裡面你都講補助你知道嗎理論上是招標的可是你每一年其實已經變成就你來我覺得這個對我對委員來說這個東西你要不然你就編個4.5億乾乾脆脆你就給他他業務這麼多你要不然就給他嘛反正預算這樣可是你長東長西我們標什麼案子標什麼案子後面咧
transcript.whisperx[248].start 7623.632
transcript.whisperx[248].end 7641.064
transcript.whisperx[248].text 是大家所有的溪流都是流向那裡我是覺得對我們來講常常講說長預算或者不清楚你這樣的其實對我覺得對我們委員認真看預算的時候因為其他預算根本看不出來到你這邊來我是個人這樣建議那這樣的
transcript.whisperx[249].start 7644.5
transcript.whisperx[249].end 7670.775
transcript.whisperx[249].text 我們來處理一下好不好 因為其實就我個人的看法 因為違犯費2.8億 就委託別人做強補助事實上比違犯費更放鬆的 就丟給別人丟給別人去做的那這邊是13億多了那我想這樣的好不好因為我剛剛看到有三千幾百萬幾千萬到兩億的都有那我這邊是不是
transcript.whisperx[250].start 7673.051
transcript.whisperx[250].end 7699.834
transcript.whisperx[250].text 嘗試的做這樣的一個處理針對於這整體的預算整體預算3減1億元凍結10%但是三減凍結的是給直轄市政府跟縣市政府補助的除外這6092不動不刪其他的部分你項目去移各位來 阿尼亞委員
transcript.whisperx[251].start 7702.899
transcript.whisperx[251].end 7728.15
transcript.whisperx[251].text 因為光是38案跟37案合計起來就刪了四億六千萬了這是個別的案子不是說什麼這案他刪兩億多我刪一億多是這兩案合計起來就刪了四億六那再加上有其他的合計起來其實數量蠻高的所以我覺得如果要統三的方向的話應該是我覺得一億有點太少了我覺得至少再一億再一億啊
transcript.whisperx[252].start 7729.179
transcript.whisperx[252].end 7743.913
transcript.whisperx[252].text 好 建豪委員有具體建議 黃沛翔接下來林俊憲委我本來是講3億凍結30%那我建豪都講了 我支持建豪的想法3億再凍結30%因為老實講 凍不凍講補助金 凍不凍這些數位任性東西你這解釋東西說真的 所有人都疑問
transcript.whisperx[253].start 7750.999
transcript.whisperx[253].end 7776.44
transcript.whisperx[253].text 如果是3億我們就輕輕鬆鬆這樣出去的話我們不知道該怎麼跟大家交代你知道嗎不知道怎麼跟選民交代不知道人家說為什麼他們可以3億多這樣花在這邊上面來講你們也知道這黑盒子剛剛寶博也講是黑盒子那黑盒子你們又沒有辦法來說服我們的時候那我們該怎麼做講補助3億多對不起是3億多然後我們所有人都相信我們會嚴格把關
transcript.whisperx[254].start 7779.338
transcript.whisperx[254].end 7780.499
transcript.whisperx[254].text 所以其實講兩億 我本來想說砍3億 凍結30%以上好 林俊賢委員
transcript.whisperx[255].start 7788.576
transcript.whisperx[255].end 7816.474
transcript.whisperx[255].text 謝謝主席那個部長 那個大委也請主席回答一下部長 那個主席剛才有說你們既然大部分有4億多都是要補助給那個資安院嘛但是其實在組織法律上你是不能直接編例上就指定要給他啦就這邊的相關的法律大致你要跟委員說明一下你可以這樣編嘛第二個 你說13億裡面其實你給各地關政府就有6億多了嘛
transcript.whisperx[256].start 7817.535
transcript.whisperx[256].end 7832.629
transcript.whisperx[256].text 是不是這樣那主任你剛說這個部分不能就不動嘛6千萬6千萬嘛6千萬那其他的你的主要業務大部分都是委託給資產業嗎市役多嗎
transcript.whisperx[257].start 7838.459
transcript.whisperx[257].end 7860.312
transcript.whisperx[257].text 只有三個單位TDC還有TWNICTWNIC就是負責網絡的所以你這個部分其實也應該要講清楚因為他委託的基本上也等於是政府單位之間的互相委託所以我想就他業務的執行我們應該算那個比例
transcript.whisperx[258].start 7862.412
transcript.whisperx[258].end 7889.54
transcript.whisperx[258].text 你給他砍個兩億我看是我們委員會從來沒有刪那麼高比例的主席你這樣一採他的業務還能推嗎對不對基本上我們當然希望能夠你們不要浪費不要亂做事情但你如果刪到他根本基本業務都沒有幫我推動那你還要求他能夠做出什麼樣的績效來所以我是覺得第一個你先就主席剛裁定的如果刪一億的話那部裡面的意見是怎麼樣
transcript.whisperx[259].start 7891.082
transcript.whisperx[259].end 7894.711
transcript.whisperx[259].text 你可以接受嗎你要先講這部分啦好 謝謝好 何俊頓委員
transcript.whisperx[260].start 7898.561
transcript.whisperx[260].end 7921.241
transcript.whisperx[260].text 好 謝謝主席 大家好其實對於這個數位台灣未來的一個建制其實大家對數位發展部實在是期待很深那因為期待深就會有要求那也會嚴格檢視那我覺得數位發展部真的要更積極而且要更像的來跟各位委員說明那如何來爭取大家
transcript.whisperx[261].start 7921.761
transcript.whisperx[261].end 7942.071
transcript.whisperx[261].text 支持你的預算那像這一個預算裡面就如同剛剛其他幾位委員講的第一個我們保留給各直轄市縣市政府的補助這個我們當然OK一定要全力支持第二個一開始你們也沒有明確的說明說其中有多少錢是給我們的資安院其實你可以
transcript.whisperx[262].start 7942.611
transcript.whisperx[262].end 7962.159
transcript.whisperx[262].text 非常公開的說資安院本來就是我們政府捐助成立的行政法人他的位置他要做什麼事情其實是很必要而且重要的尤其現在我們在數位台灣裡面又非常重視所謂的資安那在委員會的質詢裡面我一直很強調第一個資安
transcript.whisperx[263].start 7964.5
transcript.whisperx[263].end 7981.059
transcript.whisperx[263].text 全台灣從中央政府到地方政府各行政機關的資安體系的建置如何能夠有效的防禦所謂的不管是這個駭客的攻擊啦或者是呢境外勢力的惡意的攻擊等等
transcript.whisperx[264].start 7981.519
transcript.whisperx[264].end 7999.947
transcript.whisperx[264].text 那這些都需要人需要經費那這個我們要人之前也要有經費這個我覺得你要先講清楚為什麼那麼一大筆錢必須要去講補助給資安院或者是其他的各行政機關這第一個第二個我們的這個預算裡面的各個項目
transcript.whisperx[265].start 8004.273
transcript.whisperx[265].end 8022.601
transcript.whisperx[265].text 計畫內容是不是有說明清楚包括我剛剛講的資安以外我們有很多的要去建置一個這個資訊體系尤其我們現在正在分10層進階式的在佈建台灣全國性的一個資訊的一個脈絡
transcript.whisperx[266].start 8025.382
transcript.whisperx[266].end 8041.974
transcript.whisperx[266].text 那這個資訊脈絡我覺得裡面你們的計畫裡面還是沿用過去什麼民主網絡啦或者是其他的你們覺得跟現在的計畫預算或發展的方向如果需要微調的地方我覺得你就要在我們現場要講出來你們未來這個預算邊境去那執行面是怎麼樣的微調精進能夠更符合這個預算執行的效益
transcript.whisperx[267].start 8051.46
transcript.whisperx[267].end 8080.667
transcript.whisperx[267].text 那這樣子大家會支持你的預算那像剛剛主席在財市要刪減一億那如果這個預算被刪了一億之外你們的運作如何運作那影響的程度會影響到哪裡是不是會讓一些業務跟計畫跟一些資安的問題會自愛難行去推動這個我希望部長跟我們相關單位的首長是不是可以趕快講清楚好不好我們一定會支持好不好
transcript.whisperx[268].start 8081.684
transcript.whisperx[268].end 8082.512
transcript.whisperx[268].text 好 葛珠君委員
transcript.whisperx[269].start 8084.689
transcript.whisperx[269].end 8111.63
transcript.whisperx[269].text 我想這邊是很欽佩這個執政黨的委員都是非常公正公允的在看尤其這個預算真的是大家都在盯著也希望可以說明清楚我這邊只有兩點補充就是所以我也希望公允就是說如果這兩點能夠說清楚的話我當然也可以跟本黨的委員說是不是少一些第一個這13億發出去給這三個單位他們能不能再轉發
transcript.whisperx[270].start 8112.731
transcript.whisperx[270].end 8141.433
transcript.whisperx[270].text 他能不能再轉發不然你發出去了他再轉發那他再轉發再轉發再轉發發到哪裡我們都不知道啊這個如果可以或不可以講清楚這是第一個第二個轉發給這些單位那他們的人員有沒有進適任性查核因為資通安全的計劃執行的人力跟單位都應該要適任性的查核這一點會不會做就這兩點問題謝謝
transcript.whisperx[271].start 8145.731
transcript.whisperx[271].end 8156.142
transcript.whisperx[271].text 好林佩祥委員好既然何信存委員特地講林俊傑委員特地講為了保持委員會中心跟委員會的和諧本期願意改成1.5億到凍結10%
transcript.whisperx[272].start 8161.806
transcript.whisperx[272].end 8171.371
transcript.whisperx[272].text 好那這樣好不好因為討論已經蠻久的那我針對於本案通案獎補助費13億6781萬餘元我們就3減1.5億凍結10%但是其中對直轄市政府的補助對各縣政府的補助政府機關相關的補助6092萬餘元除外
transcript.whisperx[273].start 8191.135
transcript.whisperx[273].end 8216.394
transcript.whisperx[273].text 趙偉給部長回應一下啦好不好剛剛我們這個大家的問題部長回應一下講清楚啦部長報告那個趙偉這個工作其實剛剛講我們現在講三個單位我先回答各位的問題就是說第一個我們那個經費下去是三個單位自己執行然後第二個就是說那個有關於這個查核我們資安院的資通工作人士會查核所以這個這是對對對
transcript.whisperx[274].start 8219.136
transcript.whisperx[274].end 8219.536
transcript.whisperx[274].text 來針對委員的疑問誰來回答一下
transcript.whisperx[275].start 8247.014
transcript.whisperx[275].end 8263.37
transcript.whisperx[275].text 好委員我可以發言那個跟委員還有各位報告資安院的所有同仁全部都經過安全查核那我院長是要做特殊更嚴格的查核那主要還是我們有執行一些敏感性的東西那第二個
transcript.whisperx[276].start 8264.071
transcript.whisperx[276].end 8286.175
transcript.whisperx[276].text 在專案成立以後我們交友會的各會委員很關心說我們一定要培養我們自己的能力所以呢我們所有的計畫都是我們的同仁很優秀的同仁年輕人自己在研發自己在研發自己在開發那這個部分呢也剛剛這個各會委員也特別關心那我就這兩點說明謝謝好 安委員
transcript.whisperx[277].start 8296.508
transcript.whisperx[277].end 8307.913
transcript.whisperx[277].text 是 其實剛剛聽了院長的說法其實還是不清不楚現在這個錢基本上是給資安院對 那資安院裡面本身它就是自己要有研發的能力嘛你現在變成說是這個裡面內部又有各個不同的計畫
transcript.whisperx[278].start 8312.795
transcript.whisperx[278].end 8331.024
transcript.whisperx[278].text 那這個計劃怎麼可能會是用一種在補助的這個方式去做那勢必就是說你們可能會不會未來把撥給自然院的錢然後又其中又分了其他的子計劃給其他的研究單位去做我想葛委員剛剛想要問的是這個部分或是給其他的民間團體去做
transcript.whisperx[279].start 8332.165
transcript.whisperx[279].end 8356.144
transcript.whisperx[279].text 好 我再說明一下這個資安院有一批非常優秀 年輕的工程師所謂 那我剛才講過是因為我們不是政府單位 我們不能編公務預算也沒有基本需求所以就靠這個每一年部跟屬根門這樣的補助計畫或是我們需要去公開競標那丟到跟委員報告 所有的計畫
transcript.whisperx[280].start 8357.365
transcript.whisperx[280].end 8383.399
transcript.whisperx[280].text 由部裡面撥到資安院全部由資安院的一些像我們的前瞻的技術的工程師自行研發自行開發沒有再轉報告給其他法人我想這個部分很清楚我利用這個機會在這個順便希望委員能夠支持這樣一個年輕那希望能夠透過技術的開發來協助我們政府機關協助我們的中小企業把資安產業跟產業資安造謝謝
transcript.whisperx[281].start 8387.625
transcript.whisperx[281].end 8411.781
transcript.whisperx[281].text 好 這個因為資安院我是建議所有的委員可能未來需要你的KPI就是說我很強我很壯我很棒然後但是一切不能檢驗這個沒有辦法4.5億好你說你剛開始那我真的很想問你譬如說113年你4.5億你的具體的成果能夠發展什麼當然因為你要說明就可能書面說明那但是你可能未來
transcript.whisperx[282].start 8412.842
transcript.whisperx[282].end 8433.208
transcript.whisperx[282].text 未來因為我剛剛已經說了你的預算來源有正面的補助有側面的假標案標完之後對這是公開招標但是一定你得標像這種的部分納入你每一年的一個收入部分我是覺得你值得去研究你們要補助一個單位就明著補助給他們去做就好了好不好
transcript.whisperx[283].start 8434.068
transcript.whisperx[283].end 8459.206
transcript.whisperx[283].text 那這個部分我們是不是再折衷一次啦再折衷一次啦3.1.2億啦好不好3.1.2億凍結10%請你治安院這邊提出具體的說明使得動之好不好我們就各位委員先這樣好不好好不好3.3億剛剛這個主席英明已經說是1.5億我們當然好多蠻認同的沒關係啦就再讓我再裁示一下好不好就1.2億凍結10%提書面報告使得動之
transcript.whisperx[284].start 8464.363
transcript.whisperx[284].end 8490.895
transcript.whisperx[284].text 好但是一樣一樣補助地方政府的6092是除外沒有動也沒有刪所以科目的那個挪移不准動這個就這樣其他科目自行調整但是不准動6092好吧給地方政府的好不好那我們接續處理好吧繼續啦繼續往下走休息五分鐘啦
transcript.whisperx[285].start 8495.061
transcript.whisperx[285].end 8495.742
transcript.whisperx[285].text 沒關係 沒關係 沒關係
transcript.whisperx[286].start 8519.565
transcript.whisperx[286].end 8536.834
transcript.whisperx[286].text 謝謝
transcript.whisperx[287].start 8538.187
transcript.whisperx[287].end 8544.509
transcript.whisperx[287].text 7.6億我跟你講這個部分也是我非常希望可是不可能就不可能
transcript.whisperx[288].start 8561.604
transcript.whisperx[288].end 8576.525
transcript.whisperx[288].text 本來那個時候部長就說要治安省你就編一條就直接給文化部也這樣可是他不要啊部長來以後就覺得說就那一筆錢你就明明白白的去捨不得那些基本需求
transcript.whisperx[289].start 8578.473
transcript.whisperx[289].end 8599.069
transcript.whisperx[289].text 然後他有些計畫要競標我還要去標三十五萬一個兩百五十個人全部都是工程師你不給他這個預算因為我們不是剛剛講的公共計畫沒有基本需求啊我也沒有那個人事會啊我就要靠組織計畫
transcript.whisperx[290].start 8604.233
transcript.whisperx[290].end 8609.656
transcript.whisperx[290].text 這個就是我們在下包的法人馬,台灣馬又不太一樣
transcript.whisperx[291].start 8629.31
transcript.whisperx[291].end 8630.891
transcript.whisperx[291].text 這間餐廳的餐廳是一間餐廳的中間餐廳。
transcript.whisperx[292].start 8647.85
transcript.whisperx[292].end 8649.331
transcript.whisperx[292].text 中文字幕 李宗盛
transcript.whisperx[293].start 8664.736
transcript.whisperx[293].end 8674.542
transcript.whisperx[293].text 王長宇啊 出國一天走誰啊 王長宇你什麼都不可以接受你啊 你是接待人權嗎第一個 不用接 第二個 別做人家講話阿伯來 要通 阿伯來 要通 阿伯來
transcript.whisperx[294].start 8697.858
transcript.whisperx[294].end 8702.06
transcript.whisperx[294].text 我們也不熟 比較比較我們怎麼會熟在公務員也不熟 因為公務員根本對社會產業也不熟
transcript.whisperx[295].start 8726.451
transcript.whisperx[295].end 8731.734
transcript.whisperx[295].text 那些平庸車啊那些貨車啊那些貨車啊那些貨車啊那些貨車啊那些貨車啊
transcript.whisperx[296].start 8757.748
transcript.whisperx[296].end 8766.971
transcript.whisperx[296].text 如果隨時時間差 你看來台南溫暖派通的 也沒有啊因為年多的人都在說溫暖 國際溫暖現在溫暖 他們覺得溫暖派通太靠臨了
transcript.whisperx[297].start 8774.754
transcript.whisperx[297].end 8780.819
transcript.whisperx[297].text 有没有达到啊?你找的啊?你找的啊?你找的啊?你找的啊?
transcript.whisperx[298].start 8794.773
transcript.whisperx[298].end 8806.169
transcript.whisperx[298].text 我之前都沒有習慣,都沒有愛上我,所以我常常忘了你怎麼會這樣,很可憐,很好的事情那些都要想清楚要有公文嘛,要順利沒關係,如果沒有的話,我開廟
transcript.whisperx[299].start 8812.139
transcript.whisperx[299].end 8813.88
transcript.whisperx[299].text 這時侯去找人家?
transcript.whisperx[300].start 8813.88
transcript.whisperx[300].end 8816.723
transcript.whisperx[300].text 說他先去立委 立委消息一番?
transcript.whisperx[301].start 8816.723
transcript.whisperx[301].end 8833.556
transcript.whisperx[301].text 立委 最近 最近查了一遍就有了 最近最後一遍就有了沒有啊 上一遍啦 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊 沒啊
transcript.whisperx[302].start 8838.383
transcript.whisperx[302].end 8840.991
transcript.whisperx[302].text 蜂蜜
transcript.whisperx[303].start 8850.295
transcript.whisperx[303].end 8852.536
transcript.whisperx[303].text 他都跑出來了,就這樣就好了
transcript.whisperx[304].start 8873.88
transcript.whisperx[304].end 8886.277
transcript.whisperx[304].text 當時他們就比較辛苦,這次放他在那裡抱著就好了這三個是沒有跟其他人說沒有關係,他們要有三個是跟其他人說他自己要靠近,我們都要靠近對啊,我也是有什麼關係,只是他說...我也沒時間去跟他了啦
transcript.whisperx[305].start 8890.422
transcript.whisperx[305].end 8908.372
transcript.whisperx[305].text 你就叫建隆去推就好我已經做好可以做了啊我們就做就好 阿鳳你自己全背都要你自己鑽點這樣就好了這樣好不好對啊 我們沒辦法去跟那個玩你到底怎麼可以跟他去不是 阿鳳你就要推 要推建隆你用這個我們沒辦法去推他每天在那裡裝藥叫建隆去 建隆也要負點責任啊
transcript.whisperx[306].start 8925.924
transcript.whisperx[306].end 8935.174
transcript.whisperx[306].text 好請各位就座好我們繼續處理預算
transcript.whisperx[307].start 8939.605
transcript.whisperx[307].end 8957.781
transcript.whisperx[307].text 第42案到第45案也是通案業務費一般稅務費向下的媒體政策及業務宣導費經費不多但是我們有幾位委員提案林國成委員我要請教一下部長
transcript.whisperx[308].start 8959.178
transcript.whisperx[308].end 8977.331
transcript.whisperx[308].text 你這個媒體政策及業務宣導會你要編名就編多一點上不上下不下265萬他是要做什麼是揚網金嗎或者要做廣告你們做什麼廣告
transcript.whisperx[309].start 8978.732
transcript.whisperx[309].end 9001.569
transcript.whisperx[309].text 所以這個部分我是認為沒有必要因為你們要好好去做一下那邊這個預算也不是電視廣告也不是什麼那你們也沒有必要去做廣告啊所以本席認為這是沒有必要的東西雖然通案啦但是我認為你們這個是要做什麼所以我主張要全部刪除好
transcript.whisperx[310].start 9006.516
transcript.whisperx[310].end 9017.48
transcript.whisperx[310].text 好那接下來我本身也有提案第44案的部分那我提案最主要是這樣也是幫你們第一個在你們這個預算在113年編了175萬那明年我們在審查114年的時候你大概加了90萬變成265萬有增加
transcript.whisperx[311].start 9029.364
transcript.whisperx[311].end 9055.278
transcript.whisperx[311].text 那第一個是說你增加的部分你要做什麼要增加在編預算的起新動念就是說我今年或去年編的實在是不夠用所以我要增加一些做新的計畫可是倒過來看你112年開始你編的預算執行率只有25%就是那一年就作廢了大概只花了大概就是四五十萬只需要四五十萬啦那當然我是肯定嘛就是有要用的去用嘛
transcript.whisperx[312].start 9056.318
transcript.whisperx[312].end 9082.216
transcript.whisperx[312].text 那113年呢這個今年度目前我們拿到11月以前的資訊是用了28%28%所以我個人是覺得我們要幫你去調整一下預算因為第一個你連續兩年的預算只用大概都不到三成所以你只需要這麼多在用不完的情況之下在編預算的時候又說又多編了90萬我覺得這個
transcript.whisperx[313].start 9085.879
transcript.whisperx[313].end 9092.787
transcript.whisperx[313].text 這個編法我是不認同啦所以我這邊雖然是3.1百萬待會帶大家統一大家再來考慮好請說明
transcript.whisperx[314].start 9098.203
transcript.whisperx[314].end 9123.677
transcript.whisperx[314].text 事務部說明我們請那個市長蔡市長說明好那委員我們大概今年編列265最主要召委剛剛說明說112 113到114因為112部成立的時候我們大概是編在一般行政那個秘書處的向下那經過這兩年我們大概就編到我們數位策略師裡面就是公關科真的專責用
transcript.whisperx[315].start 9124.617
transcript.whisperx[315].end 9138.093
transcript.whisperx[315].text 但是編這個在核實265這主要是有資料師、國際師、數證師跟策略師四個師來使用那我們大概114年大概我們大概要去做政策的宣導跟
transcript.whisperx[316].start 9139.815
transcript.whisperx[316].end 9157.397
transcript.whisperx[316].text 科普的說明就是這些都是拍一些簡單的一些公關的公關的工具並不是說去做給特定媒體的那個補助或怎麼樣所以說這個部分看委員能不能支持然後就是讓我們提書面報告之後來運用這樣
transcript.whisperx[317].start 9159.579
transcript.whisperx[317].end 9181.313
transcript.whisperx[317].text 對 所以你這邊的意思就是我不太懂就是政策宣導跟有一些觀念的科普都OK嘛但是今年目前只實行28%嘛所以今年不用政策宣導今年不用科普但我覺得這個部分還是有一點奇怪因為連續兩年只用到百分之二十幾%那你說又要增加九十萬所以我只是幫你調整
transcript.whisperx[318].start 9185.736
transcript.whisperx[318].end 9203.412
transcript.whisperx[318].text 那在這裡啊 那我請問一下為什麼你們來溝通的時候我說叫你們提供細目 去年的細目 為什麼你們不提供不是啦 那為什麼不提供 那不提供就是沒有必要啊
transcript.whisperx[319].start 9204.605
transcript.whisperx[319].end 9222.314
transcript.whisperx[319].text 我要你們提出說明你也知道我在審議算是非常理性的只要提出來有理由的我們基本上都支持啊但是我請教一下我要你們提供你們去年的那個那個細目為什麼提供不出來
transcript.whisperx[320].start 9223.407
transcript.whisperx[320].end 9236.805
transcript.whisperx[320].text 好 報告委員大概就是這邊我們資料沒有提供這個部分再跟委員道歉那最主要我們執行率大概就是12113大概2528左右因為這分在四個四個司有的編書有的編
transcript.whisperx[321].start 9238.887
transcript.whisperx[321].end 9260.07
transcript.whisperx[321].text 是是是 那這個我們提供 所以我才 我說拜託委員喔這個部分我們大概以後這四個市我們一百一十人要朝統一這兩百六十萬統一去發包對 我知道 二十六州一回事 你們過去你也經過你解釋本來原來編在其他地方 你們現在把它統一編在這個地方
transcript.whisperx[322].start 9261.171
transcript.whisperx[322].end 9273.895
transcript.whisperx[322].text 這個我們知道那你怎麼編沒有關係戲目為什麼不給我所以我才會前三啊因為不給我就是見不得人不是嗎沒有沒有我是說可不可以讓我凍結50%戲目我再提供這樣
transcript.whisperx[323].start 9277.256
transcript.whisperx[323].end 9301.495
transcript.whisperx[323].text 那幹嘛 我審議算為什麼要聽你的呢 對不對那為什麼很簡單 給我資料 我就會放行 我也會支持那你們為什麼不給 你們就是壞習慣嘛委員要你們要資料 好像是要你們什麼東西耶這基本上給我們資料 我們了解的越多 我們越支持你們嘛
transcript.whisperx[324].start 9303.004
transcript.whisperx[324].end 9318.771
transcript.whisperx[324].text 我們交通委員會在審議算不管三檔在審議算是非常理性的我就請教你啊不然為什麼不讓你是你交代的還是他們自己做主張的沒有沒有 這個是我這邊的疏忽是啊 你要解釋為什麼不給我嘛
transcript.whisperx[325].start 9322.513
transcript.whisperx[325].end 9344.485
transcript.whisperx[325].text 這個資料我大概給慢了這樣委員不好意思 是啦 給慢 什麼時候那你什麼時候給 那就剩第二輪的大會來討論好不好好 那就送到那個 這樣的啦 我覺得這樣很不行喔每一位委員跟你要資料說真的啦 你人看不到就算了 跟你要資料
transcript.whisperx[326].start 9346.045
transcript.whisperx[326].end 9363.151
transcript.whisperx[326].text 這是我們的全通過預算資訊公開要跟你怎麼質詢怎麼會說不給咧會說今天在已經在建在弦上你說要給林俊賢委員來現在主席喔這個只有兩百多萬喔全部預算兩百多萬這個送鞋上實在有一點
transcript.whisperx[327].start 9374.835
transcript.whisperx[327].end 9397.856
transcript.whisperx[327].text 所以喔 你也後備人啦你兩百多萬 你是要上什麼學生啦你就在那邊跟經貿政委員報告誰啊 人家就給你藥製藥 你也沒人我現在立刻給委員好 來來來 我想問一下那個部長再說明一下那個 真的 這個是我們的束縛啦那我們資料有了是不是就當
transcript.whisperx[328].start 9399.657
transcript.whisperx[328].end 9415.64
transcript.whisperx[328].text 你們團隊聽一下部長的話啦好不好以後資料要怎麼弄來 部長你再說一遍對 就是對啦那個我先跟委員道歉啦因為這個確實是我們束縛的地方那我們資料是有是不是向委員現在當場給委員看一下
transcript.whisperx[329].start 9416.381
transcript.whisperx[329].end 9434.536
transcript.whisperx[329].text 真的有點尷尬每一位委員跟你們要調合法的預算處理資料你要最快第一時間要去給到委員辦公室這個是基本的那看到你的資料再了解預算要怎麼去做處理這個部分我覺得基本了但是265萬我來處理一下就3減100萬好不好3減100萬
transcript.whisperx[330].start 9439.24
transcript.whisperx[330].end 9455.931
transcript.whisperx[330].text 凍結10%然後提供書院報告10%的凍資這樣啦部長因為我已經說了你們也講了去年112年給你們錢你們只執行到四分之一25%今年已經113年結束了你們只執行到28%
transcript.whisperx[331].start 9458.183
transcript.whisperx[331].end 9472.515
transcript.whisperx[331].text 但是你還要比去年再多90萬 多51%我覺得在預算的編列上面有它的不合理性我今年錢都用不完了然後我要再多90萬所以我只是幫你們調整一下調到你們去年
transcript.whisperx[332].start 9473.476
transcript.whisperx[332].end 9493.993
transcript.whisperx[332].text 今年用到28%都用不完嘛那你們再努力去用我沒有說把你們整個刪減啦好不好那這個比較小條的要不要快一點來部長林副院長如果你在發言說明的時候你知道預算會刪減你也可以提出一個你認為就部裡面希望委員會刪減的一個數字你也可以主動提出來
transcript.whisperx[333].start 9495.494
transcript.whisperx[333].end 9520.248
transcript.whisperx[333].text 不然我們這個主席有時候比較勇 台腦比較多有時候你 譬如說你希望這個預算三五十萬 你也可以主動提出來對不對我在想 部長這個一個立法委員 要了解到底你們錢花到哪邊去像你們剛剛就有資料啊 你們有九項啊去執行這些啊
transcript.whisperx[334].start 9521.38
transcript.whisperx[334].end 9535.754
transcript.whisperx[334].text 那我就感覺現在真的是一個不了解要你們提供資料你們就是粗心大意不給委員知道那我刪掉是剛好而已你聽到沒有因為我會認為你們提不出來
transcript.whisperx[335].start 9536.877
transcript.whisperx[335].end 9553.744
transcript.whisperx[335].text 你們只有20幾%那我要的是這個執行的情形我坦白跟你講我堅持這些最基本的就是我們立法委員審議算基本的尊嚴你們不要以為這樣混的就過去立法委員有立法委員的職責
transcript.whisperx[336].start 9554.764
transcript.whisperx[336].end 9570.135
transcript.whisperx[336].text 我最討厭這樣就像你們上一次那個行政法人不來我也很不滿啊其實審預算本來就是我們你信你們盡心把它說清楚這樣的預算會很快就取得共識啊
transcript.whisperx[337].start 9571.331
transcript.whisperx[337].end 9587.621
transcript.whisperx[337].text 所以我跟你講啊明明你們都有資料啊為什麼不給不給就是什麼對立法委員一點尊重都沒有不是要刪這兩百多萬不是而是了解一下總是要吧所以柏定我是這樣跟你建議啦
transcript.whisperx[338].start 9588.522
transcript.whisperx[338].end 9613.14
transcript.whisperx[338].text 像這種東西你們都不把它放在心裡面委員委員所質疑的東西啊你都把它當作親菜反正有人幫你護行我坦白跟你講民進黨的委員也是理性的啦對的對不對不對啦所以我原則性主席如何裁我也不一定一定要堅持前三就是主席如何去裁定我也尊重
transcript.whisperx[339].start 9614.469
transcript.whisperx[339].end 9636.404
transcript.whisperx[339].text 何俊成委員謝謝主席主席我還是請求是不是可以再討論一下剛剛你財事的刪減的數額可以再少一點有兩個原因第一個原因是在於我們一直要求說數位發展部必須要對於我們現在民間最深通惡絕的這個詐騙我們要怎麼阻詐怎麼防詐怎麼反詐
transcript.whisperx[340].start 9637.225
transcript.whisperx[340].end 9652.757
transcript.whisperx[340].text 那數位發展部如果他們有研發出一些阻詐反詐的一些系統的話那他必須要宣導要講有做的要說你如果不說不宣導的時候不宣傳的時候大家又誤會而且不知道
transcript.whisperx[341].start 9653.137
transcript.whisperx[341].end 9673.816
transcript.whisperx[341].text 那也許呢就對這個我們的主詐反詐的這樣子的一個讓民間深通誤覺的這樣子的一個詐騙行為可能又更氾濫這第一個啦我覺得宣傳費用有時候是必要的因為之前我們一直要求數位發展部必須要好好的來告知國人你們到底在幹什麼
transcript.whisperx[342].start 9674.377
transcript.whisperx[342].end 9690.2
transcript.whisperx[342].text 你們為國人做了什麼你們對大家最恨的這個詐騙的一個反詐 試詐 阻詐的一個系統軟體開發又開發了什麼這個要講 這第一個如果你們願意講 講得清楚那要做什麼樣的宣傳
transcript.whisperx[343].start 9691.401
transcript.whisperx[343].end 9710.071
transcript.whisperx[343].text 預算當然我們支持你第二個是在於剛剛主席召委已經給我們數位發展不同的一個很好的機會你就把這個265萬為什麼第一個過去的執行率那麼的低那你要講清楚嘛到底是基於什麼原因嘛第二個執行率低
transcript.whisperx[344].start 9711.031
transcript.whisperx[344].end 9740.05
transcript.whisperx[344].text 是真的還是假的那後來的最終的這個決算的時候的質詢力到底是多少那還有你今年要為明年度的這個宣傳費用增加了90萬那又是為了什麼要增加90萬也許部長你有你的思考跟想法那你也要講清楚這樣子大家才能夠去知道說這筆預算到底要做什麼那該不該支持你那如果該支持我們當然要全力的支持所以以上 謝謝
transcript.whisperx[345].start 9741.511
transcript.whisperx[345].end 9758.74
transcript.whisperx[345].text 好徐副國務委員謝謝主席我個人覺得說這個蘇衛部其實剛剛我很贊成何清春委員的講法尤其我們這個偏鄉我一直跟部長也反映說這個打砸這個事情在偏鄉因為資訊的落差很多老人家不曉得這個
transcript.whisperx[346].start 9760.121
transcript.whisperx[346].end 9789.501
transcript.whisperx[346].text 詐騙的手法跟如果去防範我反而覺得說數位不憋得太少人應該多憋一點針對這個宣傳的部分應該要加強所以我想還是請我們的委員沈慎去思考一下那尤其剛剛講說到底今年增加90萬到底要做什麼那未來在這個媒體的行銷上面應該有不一樣的一個宣傳的一個手法跟不一樣的媒體的一個項目應該要更說明更清楚讓所有的委員能夠支持你們的預算案
transcript.whisperx[347].start 9789.761
transcript.whisperx[347].end 9806.146
transcript.whisperx[347].text 好 謝謝好 謝謝其實我跟所有委員都一樣我們現在省掉預算是恨鐵不成鋼啦我們隨便在想這麼多你們新的軟體上包括偏鄉你們要去宣傳結果你剛剛講政策的宣導甚至民眾不知道科普成了詐騙這個部分你錢
transcript.whisperx[348].start 9808.127
transcript.whisperx[348].end 9821.276
transcript.whisperx[348].text 今年給你175萬13年你只用了49萬是問題點在這裡你知道嗎是恨點不成綱啊那在你編預算的邏輯就用不完你為什麼要再多一點我意思在講的是這個再給你們說明一次來
transcript.whisperx[349].start 9823.497
transcript.whisperx[349].end 9849.098
transcript.whisperx[349].text 我報告召委跟各位委員就是因為我剛剛有說明就是過去這個媒體宣導要分站分編列在四個司那我們114年有去檢討過會統一去發報把這260萬好好的做那我是說這個部分讓我們不管在宣導上面能夠為部宣導希望委員支持那我這邊可不可以陳前委員大概跟召委就讓我們凍結50%我提書面報告之後使得凍值不要給我們刪減以上
transcript.whisperx[350].start 9853.596
transcript.whisperx[350].end 9861.725
transcript.whisperx[350].text 好 黃建豪委員好 謝謝張委員我拿到 剛剛拿到這個剛剛提到給國城委員的資料大家想說你們要來宣導詐騙那其實你們在112年前10名廠商資料裡面
transcript.whisperx[351].start 9865.56
transcript.whisperx[351].end 9892.674
transcript.whisperx[351].text 真的在宣傳詐騙反詐騙的就是兩個項目都是不到十五萬兩名不到十五萬合計大概不到三十萬其他都是其他都是這些有的沒的就別的項目啦應該這樣講啦所以說其實剛剛主席才是說三一百嘛對不對一開始才是三一百然後其他凍結然後再提相關的數位報告我覺得合理啊因為其實大家對數位報告期待不是說你們去宣傳反詐因為反詐宣傳是別的單位的事情你們的期待是說
transcript.whisperx[352].start 9893.855
transcript.whisperx[352].end 9917.021
transcript.whisperx[352].text 技術面上去阻止詐騙不是去跟大家講說你們不要被騙我想這單位各單位不同的期待是不一樣的所以你們才會編才編110你們才編所謂的30萬不到的數字去做反詐騙的行為嘛所以這是我覺得預算編列合理性因為260萬講真的確也不多沒錯但是合不合理咧就我剛提到了你們就是只編30萬而已啊所以還是蠻多錢給你們花的其實以上
transcript.whisperx[353].start 9919.281
transcript.whisperx[353].end 9932.484
transcript.whisperx[353].text 好 充分討論針對於本案42到第45案通案的部分那我就來這邊這個調整一下3減尾數刪掉了365萬凍結10%請你詳細說明為什麼效率這麼差提供書面報告時的動之好不好 各位有沒有其他意見好 沒有意見我們繼續
transcript.whisperx[354].start 9943.769
transcript.whisperx[354].end 9970.56
transcript.whisperx[354].text 那這樣跟各位委員稍微報告一下也徵求同意一下因為今天總共有四本的預算要審理所以待會因為剛剛這個部分我們每次發言我的這個立場一定是讓每位委員講到有飽足感飽足感可是因為有四本預算要審這樣好不好各位委員如果要發言我們就精簡控制在一分鐘以內為原則但是沒有人按鈴就這樣拜託一下好
transcript.whisperx[355].start 9972.48
transcript.whisperx[355].end 9987.225
transcript.whisperx[355].text 接下來我們處理46到66案剛剛以上處理的都是通案現在開始第一幕一般行政徵求委員補充說明林國成委員本席提的是49案、55案、61案、65案在這裡提這些當然
transcript.whisperx[356].start 9995.607
transcript.whisperx[356].end 10020.085
transcript.whisperx[356].text 租金的問題 這個也希望部長要去注意那另外一個就是績效讓我好像也不太明顯這個部分61案也請這個部長要了解一下那65案我也建議就是這個部分小三那在這裡比較敏感的一個問題
transcript.whisperx[357].start 10021.286
transcript.whisperx[357].end 10050.413
transcript.whisperx[357].text 部長可能你要了解因為這跟人事會有關其實基本上如何去刪我沒有意見雖然我堅持刪的金額很大但是大家如果討論以後也可以適度的刪那我也不堅持第二我要請教部長你們有一個單位上班在睡覺這個人這個人不是只有睡一次喔
transcript.whisperx[358].start 10052.681
transcript.whisperx[358].end 10069.966
transcript.whisperx[358].text 不是只有睡一次喔行銷中心吵醒他 在上班吵醒他 還被他嗆賭行銷中心 柏柳 怎麼處理是不是可以談一下 這是風氣的問題啦風氣的問題聽說這個人後面 後面很有咬咧啦但是我不要理他
transcript.whisperx[359].start 10075.948
transcript.whisperx[359].end 10088.779
transcript.whisperx[359].text 跟你正式檢舉一定要趕快處理叫他不要睡覺就好了好不好睡覺要晚上才回去睡真的喝酒喝了受不了
transcript.whisperx[360].start 10090.426
transcript.whisperx[360].end 10115.798
transcript.whisperx[360].text 請他請假去睡覺不要在辦公室裡面睡覺因為睡覺他有穿梁繩啦他可以睡我不能睡 起不去很壞所以不要霸凌之後還有一個睡覺的事情不然 我好意 我不要你嫌棄這雖然跟預算沒有直接關係但是還是有一個監督不足的問題 好不好
transcript.whisperx[361].start 10119.554
transcript.whisperx[361].end 10143.868
transcript.whisperx[361].text 好 葛如君委員好 謝謝昭偉本席第47案是關心這個也是人緣人力啦那我自己是阿宅 我知道阿宅很常熬夜確實白天可能會睡覺但是這個就應該要正規化嘛你要輪班的輪班那尤其我們的工作的環境是應該要更加的照護的那這一次呢 速發部有爆發三起霸凌的案件
transcript.whisperx[362].start 10144.768
transcript.whisperx[362].end 10162.305
transcript.whisperx[362].text 最終是兩成立一不成立調查結果其實是相對的比較草率其他的部會對於這樣的事件其實都有比較詳細的報告但是速發部相對的比較不夠完整人員真的是人才真的太重要了
transcript.whisperx[363].start 10162.805
transcript.whisperx[363].end 10188.475
transcript.whisperx[363].text 那我們就很快跳過其實我們資安法有這個規定我們應該要配備1500位以上的專職人力但是目前我們看到只有898位所以只要能夠進來的我們都希望能夠全力留住尤其我們剛剛又提到資安的專案資安或資通訊的專業人才、纜才實屬不易讓他們進來了一定要照顧好他們尤其他們有可能面臨工時超長
transcript.whisperx[364].start 10189.776
transcript.whisperx[364].end 10212.399
transcript.whisperx[364].text 24小時待命日夜很可能還要輪班相對的高壓所以我們這個霸凌一定要特別重視尤其相關的資安人才資通人才工作情形去建造一個健康友善的環境所以我想希望能夠就部長剛剛我提到的幾件事尤其相關霸凌的案件能不能簡要的說明
transcript.whisperx[365].start 10212.899
transcript.whisperx[365].end 10233.126
transcript.whisperx[365].text 希望能夠營造這個健康的環境否則我想這個行政上面我們應該與凍結同時呢也希望了解高壓合理的這個環境其實也可能會影響到高階的管理人才我們看到素產署的署長我從來這邊到現在幾乎都看到都是代理署長都還是在代理那也有聽聞說
transcript.whisperx[366].start 10234.386
transcript.whisperx[366].end 10247.894
transcript.whisperx[366].text 先前的這個呂署長好像待的也壓力有點大好像也不是很愉快我們到底新任的署長什麼時候要上呢正式的人員能不能補上呢這個都是我們這個人才的關懷是不是可以請回覆一下 謝謝好 接下來林俊憲委員再來徐富奎委員
transcript.whisperx[367].start 10254.622
transcript.whisperx[367].end 10276.468
transcript.whisperx[367].text 好 感謝主席好 林佩祥本期題第62案是在我們蘇發部114年度預算一般行政向下的數位策略規劃及管理會長請教蘇發部就是說我們數位平台因為它之前我們在委員會也討論過很多次就新聞有價的這個部分
transcript.whisperx[368].start 10278.308
transcript.whisperx[368].end 10302.026
transcript.whisperx[368].text 因為一些平台他都免費使用新聞然後廣告收入當然屬於平台導致新聞產業目前都面臨到這個部分很多國家注意到了所以各國都有一些相關的法規不知道我們未來要怎麼做我記得在委員會也大概討論過很多次就新聞媒體溢價草案
transcript.whisperx[369].start 10303.967
transcript.whisperx[369].end 10314.152
transcript.whisperx[369].text 蘇華部目前的態度如何?以及這個草案一推這麼多年蘇華部未來要如何的規劃?本期是提凍結案10%三個月內請蘇華部提報告再動輒謝謝
transcript.whisperx[370].start 10318.206
transcript.whisperx[370].end 10337.78
transcript.whisperx[370].text 好接下來徐副科委員謝謝主席那我想我提出的第五十案那還是針對我們現在很頻繁的一個名人粉絲專業的一個詐騙還有一個時事的一個案件的一個詐騙行為那我想尤其現在投資理財的部分影響非常非常的巨大那
transcript.whisperx[371].start 10338.56
transcript.whisperx[371].end 10354.654
transcript.whisperx[371].text 當然蘇發部目前有提出很多的一個因應的一個對策不過我們還是要要求應該要加強各部會的一個打造的一個溝通平台那尤其針對一個電商業者的一個治安的維護能力還有第三方支付的一個防治作為
transcript.whisperx[372].start 10355.314
transcript.whisperx[372].end 10374.17
transcript.whisperx[372].text 甚至現在年輕人很盛行的一個網路遊戲的一個點數詐騙我想這些案子 蘇化部應該要認真思考怎麼樣加強一個防治那所以經過溝通 我們動解了提案動解基本行政工作維持費的10%那請提出書面報告 使得解凍 好 謝謝
transcript.whisperx[373].start 10376.272
transcript.whisperx[373].end 10400.405
transcript.whisperx[373].text 好謝謝林沛翔委員好謝謝主席本案本協題是64案是有關這個資訊管理資訊管理的那經過溝通之後已經已經改要改為說減列1000萬到10%然後改順便報告不過中間也要特別特別強調要要求要求中間這個科目裡面要有要有要有列500萬來去做雲端防火牆的措施以上好好的
transcript.whisperx[374].start 10404.673
transcript.whisperx[374].end 10429.422
transcript.whisperx[374].text 那我這邊提的兩案其中第52案那我改組決議好了因為我對於每個單位的水電費都希望政府來做節能省碳你們提供的資料說目前為止你們的水電費已經執行率112%因為感覺不夠那我就改成組決議希望你們再提供說明具體節能省碳的一個方式
transcript.whisperx[375].start 10430.262
transcript.whisperx[375].end 10452.488
transcript.whisperx[375].text 那第59案啊59案是針對於這個我們部長的特別費大概是我所有的預算大概第一個針對於特別費的一個部分錢不多但最重要的意義在哪裡呢因為我覺得12月4號我在主持會議的時候那時候整個行政院很多部會在講霸凌特別有個空間在請教你們
transcript.whisperx[376].start 10453.288
transcript.whisperx[376].end 10477.823
transcript.whisperx[376].text 那時候我們的謝署長謝署長站起來針對於霸凌的跟所有的交通委員不是我啊在透過麥克風有記錄的說明說你們針對於霸凌事件已經做過訪談跟匿名的問卷我覺得這個人是叫做主任是吧人是處長嗎
transcript.whisperx[377].start 10480.345
transcript.whisperx[377].end 10493.779
transcript.whisperx[377].text 你們兩個在那邊整個演的齁我是沒法講一個點頭搖頭也看不清楚但是錄影非常清楚就是謝署長說已經做過訪談跟匿名的問卷後面我們講說那匿名問卷的樣張啊
transcript.whisperx[378].start 10498.264
transcript.whisperx[378].end 10522.501
transcript.whisperx[378].text 我們不知道結果啦 竟然是匿名樣張提供給我們 正式跟你們調結果呢結果調不出來 沒有這回事那但是你們來這邊說明啦 那謝署長因為是當事人之一啦所以他並沒有參加調查霸凌的申訴事件所以當天在交通委員會的表達純屬口誤我的天啊 純屬口誤
transcript.whisperx[379].start 10526.804
transcript.whisperx[379].end 10549.474
transcript.whisperx[379].text 那我跟你講我今天講說3個1億到隔天講說純屬口誤是10億你這個交通委員會我們在談一個非常重要的事情因為你們這樣子說是我們點頭所以委員不質詢因為你們有處理了結果後面告訴我抱歉啦講錯了說錯了可是在講錯的過程中部長你在現場
transcript.whisperx[380].start 10551.215
transcript.whisperx[380].end 10567.736
transcript.whisperx[380].text 你也在現場那你這樣的整個的一個在整個處理之下我覺得你的管理的機制是真的有問題署長可以在你的面前去講一件不是事實的事情第二個他本身能不能參加霸凌的一個審議的小組
transcript.whisperx[381].start 10569.278
transcript.whisperx[381].end 10586.388
transcript.whisperx[381].text 輪延可能也不清楚或者人事的處長當時其實點頭搖頭我也看不清楚我在看了錄影帶我是覺得真的有莫名其妙最後一個其實我們在各個部會的預算的審議其實部長我真的我個人良心的建議
transcript.whisperx[382].start 10587.449
transcript.whisperx[382].end 10610.201
transcript.whisperx[382].text 你是講話最少的很多的事情你都叫市長叫其他人來說可是因為我們真的我知道你是這個好人啦但是真的你當一個數位部部長我們不是選好人好事代表是真的沒有辦法我覺得你壓不住讓這些整個那個你管的官員在那邊可以隨便亂說的話我是真的沒辦法接受所以我這邊提
transcript.whisperx[383].start 10611.201
transcript.whisperx[383].end 10619.044
transcript.whisperx[383].text 在你的特別費喔 三節50% 凍結50%請你講說到底什麼情況好 那請說一波說明好 那個謝謝召委還有各位委員的指導那我先簡單就針對剛剛幾個委員提的關於這個第一個就是那個各位委員講的那個署長的人選我們現在是有送給院長一個名單那院長等於上批了以後就會正式應該希望近期就能夠確認
transcript.whisperx[384].start 10641.053
transcript.whisperx[384].end 10664.462
transcript.whisperx[384].text 那人力部門我們會特別強調就包括從人員培訓跟人員經驗我們會讓資訊人員是足夠來執行這個未來的資訊因為資訊真的是很繁重這個確實是一個問題整個政府的問題資訊人員是不夠是個整個的問題這個我們會特別來關注然後其他的很多委員的包括剛剛講這個這個媒體溢價華啦這些東西我想我們就寫書面寫書面報告再跟委員討這個來報告報導
transcript.whisperx[385].start 10667.023
transcript.whisperx[385].end 10684.76
transcript.whisperx[385].text 那至於剛剛那個我們召委講的這個關於那天這個在諮詢所提的問題因為我們這個細節我們那個整個調查委員會的主席是那個次長那他有經過一些法律專家的考量然後一些建議以後才採取的一個辦法這是不是請次長在這邊進一步簡單的說明
transcript.whisperx[386].start 10689.457
transcript.whisperx[386].end 10706.253
transcript.whisperx[386].text 不是我不是要問你後段啦那謝組長你當天講說已經做過匿名問卷了那你現在自己說一下你當天在交通委員會講的是是誤會嗎你要幫他講嗎我一定要講這個事件而已當天你在交通委員會跟所有委員講的
transcript.whisperx[387].start 10707.194
transcript.whisperx[387].end 10736.08
transcript.whisperx[387].text 為什麼講不是事實的話第一件事情謝署長本身是當事人所以他完全迴避這個程序第二件事情我們當然有通知謝署長說他是當事人而且可能會對於署裡面採取一些調查措施其中包括問卷但是後來在實際調查的時候主持調查的律師認為說他有具體的事項要調查的時候用匿名問卷的方式會干擾他的調查所以實際上沒有採取那因為謝署長沒有參與這個過程所以他後面這一段是
transcript.whisperx[388].start 10736.5
transcript.whisperx[388].end 10761.044
transcript.whisperx[388].text 是不清楚所以當時在交通委員會跟趙偉報告的時候有的確是發生一些失誤那我們是非常抱歉跟趙偉非常抱歉那實際上面那個時候在調查的時候問卷是沒有做的那這個先跟趙偉致歉那整個案子也如這個剛才葛如威軍委員所提的那我們會特別針對資安人才培育跟友善職場的環境我們是願意來提專案報告的以上
transcript.whisperx[389].start 10761.644
transcript.whisperx[389].end 10771.633
transcript.whisperx[389].text 好 謝謝次長的說明 默處長你當時是證人嘛 他沒有辦法參加他在那邊講說已經做過匿名問卷 你是人事處處長你跟著點頭是什麼意思默處長你回應一下
transcript.whisperx[390].start 10790.845
transcript.whisperx[390].end 10799.909
transcript.whisperx[390].text 那個當天那個我們是透過那個人事院跟國會系統會後再來跟那個趙偉辦公室來做說明
transcript.whisperx[391].start 10804.198
transcript.whisperx[391].end 10813.062
transcript.whisperx[391].text 你跟我說明什麼我跟你講當天我們在開委員會委員不在現場的也是本人 祕書都在參與透過視訊鏡頭參與這個會議我想這樣因為來這裡我再次說
transcript.whisperx[392].start 10821.265
transcript.whisperx[392].end 10840.358
transcript.whisperx[392].text 來到立法院甚至你們自己在這個怎麼可以這樣的有就有沒有就沒有當天說已經做過匿名問卷了那你知道嗎很多員工他有他沒有啊沒有這個事情搞得我們齁跟豬頭一樣我們說有他說沒有所以你們跟我講是口誤齁那這樣好我們針對這個預算來做處理
transcript.whisperx[393].start 10845.95
transcript.whisperx[393].end 10866.583
transcript.whisperx[393].text 好我們針對第46萬到66萬第一幕一般行政的費用總共是6億4745萬餘元那這個部分有各位委員提的三減的數字大概最高到6000但是有互相累加的那個機制
transcript.whisperx[394].start 10868.488
transcript.whisperx[394].end 10883.74
transcript.whisperx[394].text 來各位來您有什麼建議謝謝昭偉那其實剛剛我提的這47案我想其實速發部葉市長有來這邊溝通那他們有答應就這個三起八零案件一個月內提供交通委員會完整的補充說明
transcript.whisperx[395].start 10884.881
transcript.whisperx[395].end 10903.948
transcript.whisperx[395].text 那也同意本席的要求就該部以及所屬機關的資通訊資安人才的培育健康有善職場環境向交通委員會提出專案報告因此我自己的這個案子47案是同意改為主決議不過剛剛部長有提到這個署長的這個人選是什麼時候送出的我希望能夠知道一下謝謝
transcript.whisperx[396].start 10907.304
transcript.whisperx[396].end 10920.927
transcript.whisperx[396].text 好那個第四期案改組決議謝謝葛委員那我們講針對於這個一般行政的部分我們就是統一處理這個兩個部分第一個針對6億多的預算我們3減2000萬針對特別費的部分單一特別付費3減50%
transcript.whisperx[397].start 10933.641
transcript.whisperx[397].end 10959.922
transcript.whisperx[397].text 其他整體凍結反正是各位有沒有不同意見沒有 你們已經講過了好不好你們已經講過了嘛你要講 來 你說不過當天為什麼騙我們委員我不是在講報委我是說這個科目因為跟前面的一般事務會有重複的情況所以可不可以減少一點這樣子好
transcript.whisperx[398].start 10963.354
transcript.whisperx[398].end 10982.482
transcript.whisperx[398].text 來那各位委員對於我剛剛的就是其實六億四嘛剛剛前面處理的也不多那我們就三減兩千萬那針對於特資部分 特資費的部分個別三減50%那整體動資10%提供書面報告時的動資各位有沒有不同意見好來
transcript.whisperx[399].start 10993.941
transcript.whisperx[399].end 11008.873
transcript.whisperx[399].text 好 科目事情調整嘛是不是這個部長我們發生的事是不是讓部長承擔的不太...沒關係啦你就是費的部分借用他一點嘛沒有沒有沒有好不好借一點 沒有多少錢啊沒有沒有不是這個報告委員這個是
transcript.whisperx[400].start 11012.14
transcript.whisperx[400].end 11033.397
transcript.whisperx[400].text 我們無聊的這個發生失誤這讓部長六億四才三兩千萬還有六億兩千多萬那特別費不過我剛剛是真的一個提醒好不好不要都狀況外不行啦真的不行好不好那特別費這個部分我們就是提醒那整體的部分三減兩千萬凍結10%
transcript.whisperx[401].start 11038.581
transcript.whisperx[401].end 11060.194
transcript.whisperx[401].text 沒有有動啊整體動10%啦好不好整體動10%提供具體的書面報告時的動之各位有沒有不同意見科目自行調整好就這樣對然後其中第47案第52案改成主決議好接下來處理第二幕
transcript.whisperx[402].start 11069.949
transcript.whisperx[402].end 11093.385
transcript.whisperx[402].text 建立全民數位韌性 連結民主網路你們那個 不是 我覺得民主是沒有問題啦但是你這樣改來改去 你在次上裡面的內容物真的 你在明年度啦 因為現在跟你扯這個沒有用 好不好你們如果覺得需要改的 你們就去調整一下不要在這邊找那個額外的麻煩總積分是16億6294萬餘元
transcript.whisperx[403].start 11099.129
transcript.whisperx[403].end 11122.536
transcript.whisperx[403].text 這個提案蠻多的有沒有提案委員要補充說明林國成委員 陳世衛召委徐副國務委員我是69案 80案 94案那我刪的預算算也不少也是不少五千萬 三千萬跟三千萬那這裡面就是計畫書寫得不太清楚69案給部長去做參考
transcript.whisperx[404].start 11126.497
transcript.whisperx[404].end 11146.159
transcript.whisperx[404].text 那另外我八十案可以改為凍結案那九十四案是績效不明所以這個部分還是要刪一下那當然尊重主席如何去刪減這個部分尊重主席的決定以上好 陳書業召委
transcript.whisperx[405].start 11148.393
transcript.whisperx[405].end 11161.732
transcript.whisperx[405].text 好謝謝主席那本席針對第二幕就是建立全民數位韌性連結民主網絡這個經費我提了三個凍結案就是76案84案跟109案
transcript.whisperx[406].start 11164.215
transcript.whisperx[406].end 11183.54
transcript.whisperx[406].text 我大概就是總和來講一下就是事實上我們知道在委員會裡面每個委員都非常關心這個資安的問題那包括一般社會這個民眾也都非常的關心因為我們知道台灣人可以說是全球駭客攻擊的熱點那每秒被攻擊的次數就有達到1.5萬次
transcript.whisperx[407].start 11185.541
transcript.whisperx[407].end 11208.264
transcript.whisperx[407].text 事實上這個整個網路的一個使用事實上不僅是關係到國家的安全也是關係到整個民生的問題因為我在委員會質詢的時候也有質詢過幾次事實上我們知道就是說跟民眾民生息息相關的包括就是這個肉品市場的拍賣也好或者果菜市場的拍賣也好或者是
transcript.whisperx[408].start 11208.964
transcript.whisperx[408].end 11218.549
transcript.whisperx[408].text 電力啊電信啊等等的使用都跟民生有很大的關係所以對於建立整個這個全民數位韌性包括這個基礎建設關鍵基礎建設的一個加強我覺得這個都很必要我們也都會支持本縣會支持那我也希望就是說在預算的一個編列跟執行上我們也希望
transcript.whisperx[409].start 11229.575
transcript.whisperx[409].end 11241.343
transcript.whisperx[409].text 數位部要就是要更積極跟更用心那本期也包括我提案裡面有提到這個數位皮夾的問題等等我們都希望就是說針對這幾個議題我們希望就是數位部要提出這個書面的一個說明那在這個政策的執行上我們也希望能夠更明確然後讓更就是民眾能夠更清楚的了解謝謝
transcript.whisperx[410].start 11255.691
transcript.whisperx[410].end 11270.939
transcript.whisperx[410].text 好這個待會發言順序徐富奎委員林佩祥委員葛國軍委員邱厚華委員羅志強委員好請徐富奎委員發言謝謝主席本席提出第74 75 82跟
transcript.whisperx[411].start 11274.921
transcript.whisperx[411].end 11294.889
transcript.whisperx[411].text 107案我想74 75主要還是針對我們屏東縣這個數位基礎建設不足的部分尤其是我們偏鄉的一個數位資源的一個落差缺乏甚至我們未來希望跟這個數位部跟我們的NCC針對我們一些我們的一些沿海鄉鎮一些防災地區的一個
transcript.whisperx[412].start 11295.589
transcript.whisperx[412].end 11311.637
transcript.whisperx[412].text 高抗災的基地台的設置能夠強化這個我們的一個基本的建制那針對82案的部分我想我們還是要求關於這個數位創新的一個關鍵基礎建設能夠給予屏東縣更多的一個支持
transcript.whisperx[413].start 11313.669
transcript.whisperx[413].end 11335.64
transcript.whisperx[413].text 那在107案的部分那我們還是要求蘇衛部在這個所謂的AI的技術的一個建立的威脅情勢的部分能夠提升有效我們政府機關的一個資安防護跟一個監控的一個預警系統最重要要有緊急應變的一個能力那所以針對這幾個部分經過溝通之後我想我們還是凍結10%提出書面報告後 使得凍滯好 謝謝
transcript.whisperx[414].start 11339.093
transcript.whisperx[414].end 11359.198
transcript.whisperx[414].text 好 謝謝許委員我們因為羅志祥委員待會要趕趴來 羅委員我想為什麼一直在強調我們的抒發部變出國發展部我就看我的第71案 大家看一下科目計畫名稱叫民主網路之連結與創新用途是業務費 資訊服務費預算說明來是資訊操作維護費
transcript.whisperx[415].start 11364.679
transcript.whisperx[415].end 11372.764
transcript.whisperx[415].text 但是你會發現說這個速發布是用資訊操作維護費為由在114年度編列高達4580萬元但是其中細項很多比跟資訊操作維護毫不相干我舉個例子辦理國際組織跟其他機關資通訊技術合作請問跟資訊操作維護是什麼關係還有跨國民主技術研發推動
transcript.whisperx[416].start 11394.576
transcript.whisperx[416].end 11403.913
transcript.whisperx[416].text 這又跟資訊操作維護什麼關係參與全球分散式自治組織活動技術交流這又跟資訊操作維護有什麼關係
transcript.whisperx[417].start 11406.243
transcript.whisperx[417].end 11430.426
transcript.whisperx[417].text 非常多啦還有什麼包括什麼公民科技倫理規範啊然後跨國技術實證作業那我要特別說資訊操作維護應該是跟資訊系統運作是直接關聯的可是速發部的資訊操作維護費卻有很多的國際交流政策推廣技術合作的用途我不是說這些不能做啊
transcript.whisperx[418].start 11431.047
transcript.whisperx[418].end 11446.935
transcript.whisperx[418].text 但是我覺得不應該是用技術資訊操作維護的名義來做那不是一樣就是掛龍頭賣狗肉然後把你想要過的東西藏在一些好像覺得我們可能看不到的地方嗎你這樣的預算編列的名詞不相符那請問那我們要怎麼樣去來去審酌你的預算
transcript.whisperx[419].start 11448.476
transcript.whisperx[419].end 11456.121
transcript.whisperx[419].text 所以在這部分我的提案是主張就針對這個4580萬元減列3000萬 凍結80%那請書發部一個月內向立法院教育委員會提出專案報告同意後實施的動之 以上好 謝謝羅委員 林沛翔委員
transcript.whisperx[420].start 11469.107
transcript.whisperx[420].end 11484.193
transcript.whisperx[420].text 好謝謝主席本席主要提的是八十九案還有八十九案一百零一跟一百零一跟一百零四案這三個案裡面尤其是八十九案其實又是一樣也是跟剛剛
transcript.whisperx[421].start 11485.393
transcript.whisperx[421].end 11505.036
transcript.whisperx[421].text 市長委員講的差不多有關民主網路資源解決創新還有什麼數位創新關鍵計畫想請問具體說明所謂分散式認證跟授權系統而且老實說這個其實我還是認為說這筆這筆錢花的其實讓人家解釋不清楚之外而且會讓他覺得說我們是在浪費納稅人的錢
transcript.whisperx[422].start 11506.741
transcript.whisperx[422].end 11524.887
transcript.whisperx[422].text 再來也是一樣在第101案裡面數位韌性之應用以及強化然後項目6G的產業產業的這個先期研發計畫那其實也是一樣尾半費那其實尾半費是不是太高了一點我們這邊看到是尾半費高達將近4500萬那其實應該檢討是必要性而且具體說明6G產業到底你們先發先期研發計畫是什麼是有關IoT的再應用呢還是什麼還是什麼樣的項目我們這邊都不清楚
transcript.whisperx[423].start 11535.051
transcript.whisperx[423].end 11557.988
transcript.whisperx[423].text 另外再來是有關這個hackathon我剛剛才在想說你們總統被駭客松應用創新推動那請問是為期幾天辦幾場有什麼樣的內容想要達到什麼樣的目標hackathon不是只有寫code而已而且我說的是一些idea的發想可是你們真的夯不啷噹就直接2850萬出去那我覺得獎助金會還是過高有扶爛邊用的支險所以應該
transcript.whisperx[424].start 11565.033
transcript.whisperx[424].end 11590.208
transcript.whisperx[424].text 檢討期必要性以上好葛如君委員謝謝稍微本席第二幕的第88案是關於數位創新關鍵基礎建設計劃這個也是在所謂的民主網絡連結創新我們就先不講這個名稱這裡面有很多專有名詞我也算是大概理解就是分散式的驗證數位工具入口等等
transcript.whisperx[425].start 11590.948
transcript.whisperx[425].end 11613.786
transcript.whisperx[425].text 但是在前半的第八十八案執行率在八月底其實你們只到14%當然我們一直在溝通速發部後來有跟本席辦公室來了解跟表達說在後來的下半年加速20場座談會加速辦理到11月底突然就從8月的14%變成111%了
transcript.whisperx[426].start 11616.408
transcript.whisperx[426].end 11643.221
transcript.whisperx[426].text 那這裡面當然我想執行完成是肯定但是呢到底做了什麼事情是20場就消化了多少預算呢這個中間還是希望了解一下如果了解清楚的話這一案凍結500萬我是可以本席可以併案處理那第二幕呢這第90案呢是關於數位皮夾的建制案這一案呢本席也是非常關注的這個預算呢近2億元呢是兩年期的計劃
transcript.whisperx[427].start 11644.448
transcript.whisperx[427].end 11665.639
transcript.whisperx[427].text 那這個邊鑽的方式呢書發部有跟本席的辦公室說明但是我想要釐清就是說因為這個數位皮夾Digital Wallet全世界都在推那他需要做到隱私的保護跟加密的機制但是呢就我本席的理解是這個專案最終的是由
transcript.whisperx[428].start 11667.3
transcript.whisperx[428].end 11692.422
transcript.whisperx[428].text 這個有關股的電信公司得標但這個關股的電信公司呢在過去呢已經開始有一些民眾甚至是跨黨派的都有疑慮說他們可能有這個個資的一些風險可能甚至掌握或分析了人流群眾的資料現在我們的數位皮夾連金流錢的流向都要由這些公司來做這樣子的做法
transcript.whisperx[429].start 11692.762
transcript.whisperx[429].end 11720.753
transcript.whisperx[429].text 民眾可能會猶豫說有沒有可能去搞監控搞後台大數據分析請部長要說明一下抒發部怎麼來跟第三方來協作去做到公正公開透明來緩解民眾的疑慮否則的話我想預算上本席是希望與凍結來追蹤數位皮夾在研發跟推廣上受到信任的這個部分的成效謝謝
transcript.whisperx[430].start 11724.235
transcript.whisperx[430].end 11729.62
transcript.whisperx[430].text 好請問華委員好謝謝主席本期提的是第70第72105106案那針對第70案還有72案那72案的計劃名稱叫跨國
transcript.whisperx[431].start 11737.591
transcript.whisperx[431].end 11759.225
transcript.whisperx[431].text 民主之技術研發推動等資訊服務請問速發部什麼叫做跨國民主的技術研發民主可以技術研發嗎民主的技術要怎麼來研發那本席很好奇為什麼速發部哪一大堆社會學的名詞跟理工用語合併呢讓大家摸不著頭緒啊所以針對70案和72案本席這邊提一個3-50萬那在105案的部分就本席了解這個計劃的名稱叫數位
transcript.whisperx[432].start 11761.815
transcript.whisperx[432].end 11775.015
transcript.whisperx[432].text 跨域創新淨零先期計劃編列了335.8萬有關淨零相關的計劃速發部另外就有編推動部及所屬單位淨零機制及技術研發編列280萬還有數位發展淨零典範之
transcript.whisperx[433].start 11777.759
transcript.whisperx[433].end 11782.584
transcript.whisperx[433].text 這三項的計畫主要是先導研發和輸出光是一個淨零就分了三項來計畫本身認為是有重複編列的疑慮所以這邊提3-150萬以上
transcript.whisperx[434].start 11793.82
transcript.whisperx[434].end 11808.999
transcript.whisperx[434].text 好 謝謝邱委員那我自己本身在這個階段有提五個案子那就統一 不要一一說了其中跟委員有提到的包括數位皮夾因為你們已經做了一部分到底進度如何大家擔心的資安的問題
transcript.whisperx[435].start 11809.98
transcript.whisperx[435].end 11834.5
transcript.whisperx[435].text 要如何說明所以我大概這個五個案子基本上都提凍結案啦希望你們再具體說明其中包括新的14年到17年的計劃創建主動式聯防必進任性的國家關鍵通傳網路計劃這個是一個新的計劃四年計劃可能要再具體說明一下那包括低軌衛星的部分因為
transcript.whisperx[436].start 11836.495
transcript.whisperx[436].end 11857.85
transcript.whisperx[436].text 當時有感覺要低軌衛星國家隊那現在是國家去租用國外的低軌衛星到底未來要怎麼去發展要具體一下不然現在弄了半天的預算說我們要自己相關的研發當然你們現在是資安的預算後面到時候又不自己做有沒有這種可能接下來是6G的未來是可能要清楚
transcript.whisperx[437].start 11858.63
transcript.whisperx[437].end 11877.285
transcript.whisperx[437].text 最後一個是112案也是一個新的四年計劃也就AI網路你們是網路主動是防禦就好了為什麼要加個AI比較容易過還是怎麼樣那我以上提的幾案都是以這個凍結為主那請事務部說明
transcript.whisperx[438].start 11878.266
transcript.whisperx[438].end 11900.607
transcript.whisperx[438].text 首先我要講的就是說因為這個案子在前面通案已經刪了1.2億在報告出國經費又刪了500萬所以我想這邊是不是可以很多可以改成以凍結為主那我們再聽報告那其實剛剛有提到幾件事情我想因為很多是跟國際事跟任性事相關我是不是請國際事跟任性事二要說明就好
transcript.whisperx[439].start 11908.63
transcript.whisperx[439].end 11915.652
transcript.whisperx[439].text 在網路政策發展的部分這個案子的部分我們在編列預算的時候其實我們就已經重新盤點過所以就去年的部分已經減少了649萬元的經費支出
transcript.whisperx[440].start 11936.818
transcript.whisperx[440].end 11964.273
transcript.whisperx[440].text 然後在他的預算的編列裡面他主要是在剛委員有詢問到說那資訊服務費操作費的部分跟委員報告這部分的確是因為我們在整個專案的執行計劃執行過程中我們是跟地方政府包含台南屏東還有桃園等地方政府去開發他們所需要的一些公托的系統還有兒童聯品相關的為民服務系統
transcript.whisperx[441].start 11964.873
transcript.whisperx[441].end 11991.836
transcript.whisperx[441].text 那這些的系統開發出來其實後續他必須要有相關的操作維護的一個經費那另外在整個那個我們這邊因為我這邊是國際師所以我們也需要跟國際的一些組織合作會有一些系統的一個操作的使用情形那所以費用的部分是這樣的編列然後剛剛委員就特別關切的是有關於數位皮夾的部分
transcript.whisperx[442].start 11992.777
transcript.whisperx[442].end 12010.977
transcript.whisperx[442].text 我先跟委員報告我們專案的執行原則大概都會是在年底也就是說12月因為那是建制案所以會是在年底的時候再做核銷就是因為分階段建制所以會在年底一般都是在12月的時候會核銷那
transcript.whisperx[443].start 12011.517
transcript.whisperx[443].end 12028.359
transcript.whisperx[443].text 所以才會有委員發現說是前期是14%那後期會整個追上因為到後期開始在驗收那座談會的部分主要是因為在數位皮夾的開發他必須要取得不管是公民也好或者是產業也好
transcript.whisperx[444].start 12028.88
transcript.whisperx[444].end 12042.975
transcript.whisperx[444].text 或者是政府官員也好大家要認同這件事情所以我們開了大概四季二十場的一些座談會主要就是取得一些這樣的共識那委員有特別關切說那保密呢保密這一塊怎麼處理
transcript.whisperx[445].start 12044.116
transcript.whisperx[445].end 12063.548
transcript.whisperx[445].text 那跟委員報告因為整個數位皮夾的開發所有的程式嘛他都會是public call就是整個都會是公開讓大家去共同檢視所以在開發過程中跟甚至之後開發完全部都會釋出讓全民公視全民都能夠一起了解
transcript.whisperx[446].start 12064.008
transcript.whisperx[446].end 12090.328
transcript.whisperx[446].text 那另外委員有在詢問進度的部分進度的部分我們今年年底他開發出來的是雛形的系統那我們現在已經開始已經跟了經濟部還有內政部衛福部等部會去討論他們內部系統的界階如何能夠產生憑證在數位評價內那原則是在明年的6月
transcript.whisperx[447].start 12091.249
transcript.whisperx[447].end 12099.686
transcript.whisperx[447].text 會先做完內部的測試那明年的下半年會release第一版的就是公測版本以上說明
transcript.whisperx[448].start 12101.67
transcript.whisperx[448].end 12128.391
transcript.whisperx[448].text 好那還有說明好那剛才招委有關切到我們有關主動四聯網並繼國家關鍵的通傳網路的計劃這個計劃主要都是補助我們的治安院來幫我們做國家通訊與網際安全中心NCCC的這樣的一個委員那以確保我們通傳網路的這樣的一個的治安防護以上報告
transcript.whisperx[449].start 12130.885
transcript.whisperx[449].end 12156.7
transcript.whisperx[449].text 好的 那我們這個針對於這個階段我們總共第二幕的部分很多委員的一個提案從我們先處理三檢的部分 從幾十萬到林郭村委員的三億郭村委員的三億三億我很難調耶好的那這樣好不好
transcript.whisperx[450].start 12161.645
transcript.whisperx[450].end 12187.241
transcript.whisperx[450].text 這個部分我看很多委員提的是他有些的計畫正在施行中那有一部分是不清楚的這個部分那我們這個來折衷一下就按照陳雪生委員提案三減三千萬凍結10%給雪生委員一個面子這跟解釋有什麼關係我看他提三千萬
transcript.whisperx[451].start 12189.318
transcript.whisperx[451].end 12209.976
transcript.whisperx[451].text 好沒關係各位有沒有不同意見來再說明一下沒有其實剛剛通案已經有刪了這個通案已經有刪到了好那我想說我們還是有一點點邏輯有連結來來各位
transcript.whisperx[452].start 12213.117
transcript.whisperx[452].end 12235.495
transcript.whisperx[452].text 我是尊重召委但是有一些說明要講清楚剛剛很奇怪一下講private code一下又說公開檢視你到底是private還是public講清楚所以是講又口誤口誤那我們現在趕快校正不然我們這個山洞又搞不清楚那個說年底那已經有驗收項目了嗎數位皮夾好謝謝謝謝主席
transcript.whisperx[453].start 12236.616
transcript.whisperx[453].end 12249.109
transcript.whisperx[453].text 好 那3.3千萬凍結10%針對於很多的項目大家提出的疑問請請提出書我講完你再衝一下我講話講到一半你一直跟我搶話講 麥克風給你坐這裡好
transcript.whisperx[454].start 12257.236
transcript.whisperx[454].end 12268.823
transcript.whisperx[454].text 我再宣告一次第67到115案第二幕建立全民數位韌性連結民主網路這個向下16億6294萬餘元我們做以下處理3減3000萬凍結10%科目可以自行調整提供書面報告使得動之
transcript.whisperx[455].start 12284.147
transcript.whisperx[455].end 12288.418
transcript.whisperx[455].text 好另外11500改組決議還有什麼對啊可以還有不同意見嗎
transcript.whisperx[456].start 12297.15
transcript.whisperx[456].end 12317.492
transcript.whisperx[456].text 我怕你下去罵我乾脆現在講先這樣因為我們想說大概中午之前把數位部的先處理到一個階段大家簡單吃個午飯休息半個小時之後再審審後面三個單位所以我們如果沒有不同意見我們就接續往下審
transcript.whisperx[457].start 12321.75
transcript.whisperx[457].end 12344.641
transcript.whisperx[457].text 接下來我們處理116到142案第三幕創新數位跨域協作奠定智慧應用基礎你們寫的那個幕都很文學很有那種文青感真的不錯給你們嘉獎一下針對這個部分有沒有委員要普通說明葛國勤委員 陳樹葉召委
transcript.whisperx[458].start 12348.979
transcript.whisperx[458].end 12361.212
transcript.whisperx[458].text 是謝謝主席本席這邊第129案是關於這個地方政府稅服務品質提升計劃當中有資訊服務費那相較去年編列多編了300多萬
transcript.whisperx[459].start 12363.506
transcript.whisperx[459].end 12378.196
transcript.whisperx[459].text 但是這個預算書對於這個資訊服務費說明欄的描述卻完全一樣所以我們想說這個資訊數位服務品質每年都在變現在又有這個技術的大的巨大的變革
transcript.whisperx[460].start 12379.096
transcript.whisperx[460].end 12405.147
transcript.whisperx[460].text 你們連資安的計劃都灌了一個AI的池進去那到底是因為增加了什麼新的東西要多編334萬嗎但是說明欄又沒有講清楚所以這個AI工具到底怎麼樣導入有什麼樣新的做法怎麼樣用AI技術來幫助地方政府執行公務這個部分是不是也應該要說明一下不然的話我想這個相關的預算呢希望以這個著動
transcript.whisperx[461].start 12407.088
transcript.whisperx[461].end 12432.215
transcript.whisperx[461].text 那第40案140案呢是关于速发部正在研拟的促进资料创新利用发展的条例那根据速发部提供的资料有做一些沟通拟定一些框架那本席想要特别提醒这个条例的立法目的是希望能够提升开放资料的品质创造一个促进政府跟民间资料共享的利他环境甚至如果做得好
transcript.whisperx[462].start 12433.056
transcript.whisperx[462].end 12455.938
transcript.whisperx[462].text 有可能也協助到目前我們深層式AI的資料缺乏的問題那想要請部長要說明一下因為這個預算已經編了那接下來的這個溝通機制的規劃是什麼那先前的這個座談會有邀請政府部門列席但是像主管文化內容產業的文化部以及主管勞動權益的勞動部都沒有在這些所謂的
transcript.whisperx[463].start 12456.599
transcript.whisperx[463].end 12485.507
transcript.whisperx[463].text 资料创新利用发展条例里面的这个相关会议的受邀名单我们在因为我个人本席是在教文的我们也认为教育在文化甚至是劳动部都应该有非常多的数据应该要开放公开那为什么这样的一些做法跟会议竟然有所谓的排他到底什么样的原因那以及这个立他的机制要用什么作为奖励措施想请相关的这个同仁做个简要说明谢谢
transcript.whisperx[464].start 12486.664
transcript.whisperx[464].end 12487.685
transcript.whisperx[464].text 好 接下來黃建豪委員
transcript.whisperx[465].start 12517.525
transcript.whisperx[465].end 12535.601
transcript.whisperx[465].text 台湾两个三百五十万人里面可能真的使用买data平台的人真的少之又少啊所以为了提出三点跟冻结就是希望说这东西是概念是没问题的可问题是你们怎么怎么好像你们光跟自己政府之间的连结都做这么差那你当然没办法让民众去使用嘛
transcript.whisperx[466].start 12536.141
transcript.whisperx[466].end 12564.853
transcript.whisperx[466].text 大家希望說數位政府講那麼多年但是一直是這個成效做這麼差你的比例這麼低你光跟地方政府的這個連結這麼差那為什麼我們還要給你這麼多的經費做這個事情呢所以這部分我覺得說不定要講清楚因為這是很單純這個還比剛剛什麼民主網絡什麼有的沒有的都還單純這很單純就是你們跟各政府各級政府的連結性的問題而已然後連這樣子你們連這麼部門的協調都做不好的情況下那民眾怎麼能夠使用這平台呢以上
transcript.whisperx[467].start 12566.411
transcript.whisperx[467].end 12572.592
transcript.whisperx[467].text 好那委員在發言的時候拜託相關單位你們要仔細聽千萬不要在裡面聊天好陳樹葉召委
transcript.whisperx[468].start 12574.408
transcript.whisperx[468].end 12580.51
transcript.whisperx[468].text 謝謝主席那本席在這部分有提了120案128案跟137案那其中120案針對這個健全政府數位服務基礎環境及人才賠利下有一個機關資料傳輸韌性強化劑發放共用基礎平台建置計畫這樣子的一個科目預算950萬元
transcript.whisperx[469].start 12599.517
transcript.whisperx[469].end 12625.312
transcript.whisperx[469].text 那我們知道就是機關資料的傳輸任性強化很重要因為這個涉及到這個資安的一個安全那我們也看到在去年十月中的時候就是有發生這個國防部政府公司在辦理就是所屬人員財產申報的時候就是把很多這個高級將官包括國防部長的這個個資都外洩所以這個也引起很大的一個爭議
transcript.whisperx[470].start 12626.653
transcript.whisperx[470].end 12643.708
transcript.whisperx[470].text 所以在這個部分本席是提這個凍結案就是要求這個書發部要針對如何提供跨機關更為安全快速之訊息傳輸服務增加國人對於跨機關資料傳輸的安全性然後盤點各機關系統建制提出規劃的一個時程提出書面報告後時的凍結
transcript.whisperx[471].start 12648.012
transcript.whisperx[471].end 12668.179
transcript.whisperx[471].text 然後再來第128案的部分這個抒發部有編列了深化政府資通訊應用建設向下這個強化智慧政府數位發展計畫那我看到這個計畫的用途也是在用於辦理政府資訊直系人員的法定訓練辦資訊人員數位治理素養
transcript.whisperx[472].start 12671.96
transcript.whisperx[472].end 12686.384
transcript.whisperx[472].text 訓練等等那本席在這邊是想要請教一下因為我們在上個禮拜在審這個資安署的時候我們也看到資安署同樣有編列這個預算就是針對要就是培訓相關的公務人員在這個資訊的這個專業的這個課程的方面
transcript.whisperx[473].start 12692.065
transcript.whisperx[473].end 12713.553
transcript.whisperx[473].text 那我不曉得說這樣兩筆預算的一個編列跟執行的對象有沒有重複那這個內容上是不是要請數位部做一個說明所以這部分我也是提凍結預算三百萬元然後希望就就是提出相關的這個報告之後書院報告之後然後使得動之好謝謝好徐副委員
transcript.whisperx[474].start 12718.492
transcript.whisperx[474].end 12733.2
transcript.whisperx[474].text 謝謝主席 本席提出第131案剛剛我們聽到數位部有提到針對這個父權個人打造自主數位運用計畫這個很難念但是這個計畫今年是最後一年的預算從110年到總共5年的計畫我想數位部編了1億1700多萬
transcript.whisperx[475].start 12742.845
transcript.whisperx[475].end 12768.147
transcript.whisperx[475].text 但是我們看到的是截至到去年7月底這個MyData的這個平台上線超過一年的資料收集有700多項但是使用次數14以下的也有高達277項所以這個佔比高達三成六左右那尤其是我們在這個林桂檢核的這個服務的使用次數偏低這個比例也高達67%所以我想
transcript.whisperx[476].start 12769.969
transcript.whisperx[476].end 12790.871
transcript.whisperx[476].text 未來我想尤其地方政府這個他們的這個經費有限然後人資安人力也有限那未來怎麼樣去協助這個地方政府能夠適時的運用這樣的一個平台服務的推廣我想是有一個優化的一個空間那所以也希望我們數位部能夠在這個促進這個政府的業務數位化的部分
transcript.whisperx[477].start 12791.812
transcript.whisperx[477].end 12800.561
transcript.whisperx[477].text 應該也要加強去輔導讓我們的民眾這個數位服務的使用意願能夠提升所以我想我們還是提案凍結10%然後提出書面報告號 使得凍滯 謝謝好 謝謝徐委員
transcript.whisperx[478].start 12806.025
transcript.whisperx[478].end 12829.81
transcript.whisperx[478].text 在這個階段我個人也有提兩案124案主要是針對於你們在113年就是現在已經變去年提出來的網路詐騙通報查詢網當然在整個過程中間大家有不同的一個建議還有也給察覺不同的問題但我現在我覺得最大的問題是你通報給其他機關之後很多機關在一定的期間真的更不理你
transcript.whisperx[479].start 12830.37
transcript.whisperx[479].end 12853.71
transcript.whisperx[479].text 那但是目前看到這個業務是屬於暑期的產業署來主導那你要在產業署跟內政部或是說其他衛福部去協調我覺得是更不可行的目前看到國家隊在這個防詐詐騙國家隊真的是我覺得不夠合作不夠合作 是不是成績過低還怎麼樣我覺得部長要介入
transcript.whisperx[480].start 12854.531
transcript.whisperx[480].end 12881.961
transcript.whisperx[480].text 接下來142案最主要是對於我們看到這個政府的簡訊短碼111然後被簡單的技術惡機去傳一些老舊手機啊老舊手機很多長輩啊那剛好是比較容易受騙的那個族群那會不會未來持續向上發展有其他的可能性所以針對這兩案我都是提凍結案那請市委部說明
transcript.whisperx[481].start 12882.902
transcript.whisperx[481].end 12896.197
transcript.whisperx[481].text 主要是我們要建立一個Digital Infrastructure然後幫助政府跟產業做數位轉型所以很多工作是在奠定這個基礎的一些我們的技術或者是一個環境
transcript.whisperx[482].start 12897.578
transcript.whisperx[482].end 12909.946
transcript.whisperx[482].text 那這裡面其實因為很多我也有提建議很多都是需要再進一步澄清書面報告來說明我是不是請那個就是當然我可以個別請我們幾個創新師跟我們的那個
transcript.whisperx[483].start 12913.428
transcript.whisperx[483].end 12938.896
transcript.whisperx[483].text 說這件事來做 因為很多工作是跟他們有關資料創新是跟數位政府是那我先請他們說明那是不是到時候請主持就是我們因為這一部分可能因為牽涉到國家Digital Infrastructure的建立所以我們用凍結之後再做更進一步的說明是我覺得是一個方向那不過這關於剛剛的一些問題簡單二要我先請創新是因為今天牽涉到MyData然後跟Open Data的問題
transcript.whisperx[484].start 12939.876
transcript.whisperx[484].end 12965.703
transcript.whisperx[484].text 還有剛剛那個關於數位政府室的一些問題我們是不是請創新室先二遙說明然後數位政府室也做個二遙說明好兩位市長這個針對整個凍結案待會都會有機會如果說是要很詳細的你這個短時間是說不清楚所有委員那個質疑但是會有一個書面說明的時候提供但是所以現在是簡要的回應好請
transcript.whisperx[485].start 12966.331
transcript.whisperx[485].end 12980.469
transcript.whisperx[485].text 好謝謝召委跟各位委員的指教那我先回答一下這個MyData這個問題那MyData目前我們的這個使用人次大概已經到276萬人次所以使用率其實節節高升那我們的一些亮點的一個
transcript.whisperx[486].start 12981.93
transcript.whisperx[486].end 13005.78
transcript.whisperx[486].text 服務呢像包括有條件式的換發護照像民眾不用去排隊就可以有條件式的換發護照這也是我們跟外交部合作那以及這個像是良民證啊或者是身心障礙停車證這些都可以有利於這個民眾來線上來做一個線上的申請那未來呢我們其實都會持續跟地方政府還有中央機關一起合作召開工作會議以及技術輔導的方式呢來提供這些亮眼的服務
transcript.whisperx[487].start 13006.36
transcript.whisperx[487].end 13025.356
transcript.whisperx[487].text 我們後續也會加強這個推廣讓地方政府以及中央機關都能夠提供好的一個服務讓民眾來做使用那第二個部分是有關於委員有詢問就是說我們的促進資料創新發展條例這個部分那我們未來就是說我們在年底的時候呢已經完成這個條例的一個草案
transcript.whisperx[488].start 13025.896
transcript.whisperx[488].end 13042.834
transcript.whisperx[488].text 那未來我們的這個溝通的方式呢就是會在明年的第一季呢我們會召集這個部會相關的部會以及這個專家來對我們這個條案給予一些建議那這個部分我們當然也可以提供給委員來做這個給我們一些建議那以上我的補充說明
transcript.whisperx[489].start 13044.306
transcript.whisperx[489].end 13068.395
transcript.whisperx[489].text 好 下一位好 針對剛才委員有提到說針對T-Roll或是零信任這個部分那機關導入那我們現在其實針對A級機關我們都有協助他們導入那針對B級跟C級機關其實我們是把整個安控模組的軟體讓免費的提供這些B級機關使用而且我們有一些輔導的資源所以B級機關如果他們想要導入的話我們都會用技術的方式來協助他們來做導入
transcript.whisperx[490].start 13069.875
transcript.whisperx[490].end 13098.802
transcript.whisperx[490].text 那第二個就是針對剛才委員有提到的128項就是這個教育訓練部分跟資安署這邊有沒有重複那跟委員報告這邊是沒有重複的因為資安署他的教育訓練是針對資安普洱是資安的技術資安的集合那我們這邊的教育訓練是針對資訊系統的建置就好像這個集合的人員跟這個建置的工程師一樣那兩個是分開的那而且我們這邊的一些教育訓練其實是跟人事總署等等的這些有相關的合作所以跟其他機關也不會有重複
transcript.whisperx[491].start 13099.702
transcript.whisperx[491].end 13123.652
transcript.whisperx[491].text 那第三個是針對129題就是有提到說這個經費上面是不是有增加但是那個功能上沒有提到那這部分是因為我們以前我們在協助地方政府的這個網站讓他做得更好我們是用人工的方式用一些工具去做一些檢測讓他們檢測出他們這個網站是不是有這個符合一些UIUX的一些設計但是因為這樣子的方式比較慢所以我們現在想要用AI的方式來自動化這個檢測的方式
transcript.whisperx[492].start 13128.414
transcript.whisperx[492].end 13135.002
transcript.whisperx[492].text 這樣子的一個檢測的量能可以提升 所以在這邊我們就增加300萬 甚至AI的導入 然後來檢測的一個能量 以上簡單報告 謝謝好 謝謝蘇緯夫的說明我們現在來處理這個針對於
transcript.whisperx[493].start 13145.353
transcript.whisperx[493].end 13169.182
transcript.whisperx[493].text 116到142案第三目創新數位跨域協作奠定智慧應用基礎這個目別總共是10億多預算因為剛剛通案他們也有刪掉我看到我們所有提案委員有兩位委員提了三案三處但是剛剛建法委員也有去做一個調整
transcript.whisperx[494].start 13169.762
transcript.whisperx[494].end 13177.81
transcript.whisperx[494].text 先祥委員不在 那我就幫他做決定了現在就是3減200萬 凍結20%提供書面報告時的動機各位有沒有意見沒有意見 項目你們自行調整好 第118案改組決議
transcript.whisperx[495].start 13208.016
transcript.whisperx[495].end 13214.418
transcript.whisperx[495].text 好就按照剛剛宣告處理 接下來處理決議案 主決議案143到159請各位分開143案
transcript.whisperx[496].start 13230.458
transcript.whisperx[496].end 13253.485
transcript.whisperx[496].text 好準備好沒有那個143案那個我還沒講話你我還沒有宣告出於哪一案不是不是我還你等我進度好好來好143案來蘇衛博那個報告委員那個14案的提案委員已經同意修正文字
transcript.whisperx[497].start 13256.363
transcript.whisperx[497].end 13285.724
transcript.whisperx[497].text 好不是他那個委員有簽字啦沒關係143案修正文字後通過144案遵照辦理144案照案通過145案那個委員已經同意修正文字145案修正文字後通過146案146案遵照辦理146案照案通過147案147案遵照辦理
transcript.whisperx[498].start 13287.145
transcript.whisperx[498].end 13311.179
transcript.whisperx[498].text 147案照案通過148案148案遵照辦理148案照案通過149案149案遵照辦理149案照案通過150案150案遵照辦理150案照案通過151案151案可不可以請各位委員可不可以把那個專案報告改成書面報告來 邱委員
transcript.whisperx[499].start 13323.345
transcript.whisperx[499].end 13325.167
transcript.whisperx[499].text 有沒有跟邱委員辦公室溝通溝通如何
transcript.whisperx[500].start 13341.519
transcript.whisperx[500].end 13353.677
transcript.whisperx[500].text 對 因為邱委員人在這裡啊 你們直接面對我要請同仁這個案子的話基本上我們就是建議說改書面報告
transcript.whisperx[501].start 13355.82
transcript.whisperx[501].end 13361.403
transcript.whisperx[501].text 就說明就好就說明就好我們有拜會委員辦公室那天委員應該是不在對不對對是誰啊不要委員在這裡啊拜託啊你看著委員喔
transcript.whisperx[502].start 13372.007
transcript.whisperx[502].end 13392.812
transcript.whisperx[502].text 報告委員這個我們有有拜會過但是那天好像委員是不在對不對所以沒有親自跟委員報告但是這個委員提這個事情是比較複雜就是我們跟通常會不是我們單獨可以決定的所以我們可以提書面報告就我們的觀點來報告但是專案報告我們也沒有能力說代表行政院來做這個決定
transcript.whisperx[503].start 13394.158
transcript.whisperx[503].end 13396.219
transcript.whisperx[503].text 151案修正文字後通過152案
transcript.whisperx[504].start 13424.061
transcript.whisperx[504].end 13434.811
transcript.whisperx[504].text 152案遵照辦理152案照案通過153案遵照辦理153案照案通過154案遵照辦理154案照案通過155案遵照辦理
transcript.whisperx[505].start 13441.356
transcript.whisperx[505].end 13462.464
transcript.whisperx[505].text 155案照案通過 156案156案遵照辦理156案照案通過 157案157案遵照辦理157案照案通過 158案158案委員同意修正文字好 158案修正文字後通過 159案159案委員同意修正文字
transcript.whisperx[506].start 13464.096
transcript.whisperx[506].end 13486.223
transcript.whisperx[506].text 好159案修正文字後通過好今天我們秀慧部的預算處理完畢謝謝大家我們現在午休中午休息一下到45分12點半來不及啦來不及好40分12點40分我們再開會請下個單位請注意謝謝
transcript.whisperx[507].start 13500.177
transcript.whisperx[507].end 13500.417
transcript.whisperx[507].text 蔡市長
transcript.whisperx[508].start 13520.174
transcript.whisperx[508].end 13535.645
transcript.whisperx[508].text 蔡市長 那個秋日法委他主要的我剛才已經講他電信管理法的部分是有行政院公告的你不用叫任性準備叫法務處準備好 馬上就送一份資料給或者是做一個簡單的說明然後送一個資料給秋日法委辦公室好不好
transcript.whisperx[509].start 13557.974
transcript.whisperx[509].end 13558.855
transcript.whisperx[509].text 有些事情
transcript.whisperx[510].start 13587.579
transcript.whisperx[510].end 13589.34
transcript.whisperx[510].text 我們來整理一下音樂
transcript.whisperx[511].start 13605.345
transcript.whisperx[511].end 13605.505
transcript.whisperx[511].text 所以
transcript.whisperx[512].start 13631.118
transcript.whisperx[512].end 13632.299
transcript.whisperx[512].text 市長 市長 市長 市長
transcript.whisperx[513].start 13656.049
transcript.whisperx[513].end 13676.032
transcript.whisperx[513].text 謝謝觀賞
transcript.whisperx[514].start 13683.434
transcript.whisperx[514].end 13685.976
transcript.whisperx[514].text 中文字幕志愿者 李宗盛
transcript.whisperx[515].start 13700.783
transcript.whisperx[515].end 13701.824
transcript.whisperx[515].text 我還是要罵罵他
transcript.whisperx[516].start 13730.92
transcript.whisperx[516].end 13734.201
transcript.whisperx[516].text 你看一下這個科普跟技術的分別
transcript.whisperx[517].start 13750.505
transcript.whisperx[517].end 13751.426
transcript.whisperx[517].text 這是長官的嗎?你要問一下科長嗎?
transcript.whisperx[518].start 13779.338
transcript.whisperx[518].end 13795.616
transcript.whisperx[518].text 有些人知道你不太好,所以有一點感慨,但是你不太好,所以就好,你不太好,所以就好,所以就好,所以就好,所以就好,所以就好,所以就好,所以就好,所以就好,所以就好,所以就好,所以就好,
transcript.whisperx[519].start 13802.33
transcript.whisperx[519].end 13802.35
transcript.whisperx[519].text
transcript.whisperx[520].start 13823.875
transcript.whisperx[520].end 13825.716
transcript.whisperx[520].text 這間餐廳的餐廳有很多不同的食物。
transcript.whisperx[521].start 13842.025
transcript.whisperx[521].end 13843.346
transcript.whisperx[521].text 這間餐廳的餐廳是一間餐廳的中間餐廳
transcript.whisperx[522].start 13873.215
transcript.whisperx[522].end 13876.796
transcript.whisperx[522].text 這個已經幫他擺了這個是這是別人的這都是別人的這都不是別人的
transcript.whisperx[523].start 13912.602
transcript.whisperx[523].end 13922.278
transcript.whisperx[523].text 響鐘
transcript.whisperx[524].start 13931.151
transcript.whisperx[524].end 13933.552
transcript.whisperx[524].text 嗯嗯
transcript.whisperx[525].start 13944.099
transcript.whisperx[525].end 13948.622
transcript.whisperx[525].text 我把他修一下不用修了我
transcript.whisperx[526].start 13970.919
transcript.whisperx[526].end 13971.899
transcript.whisperx[526].text 君怡你的杯子喔
transcript.whisperx[527].start 14007.961
transcript.whisperx[527].end 14009.422
transcript.whisperx[527].text 不敢要這個嗎?不用不用
transcript.whisperx[528].start 14044.002
transcript.whisperx[528].end 14058.217
transcript.whisperx[528].text 響鐘
transcript.whisperx[529].start 14098.241
transcript.whisperx[529].end 14103.226
transcript.whisperx[529].text 剩下還在想 他們是預算嗎 嗯 剩剩剩剩剩剩剩剩剩剩剩
transcript.whisperx[530].start 14128.797
transcript.whisperx[530].end 14133.341
transcript.whisperx[530].text 你們最後出現大法官的權力 由大法官來決定我說風頭嘛 風頭啊
transcript.whisperx[531].start 14153.74
transcript.whisperx[531].end 14155.041
transcript.whisperx[531].text 但目的是怎樣?
transcript.whisperx[532].start 14182.092
transcript.whisperx[532].end 14182.993
transcript.whisperx[532].text 法定人數不足
transcript.whisperx[533].start 14221.927
transcript.whisperx[533].end 14236.096
transcript.whisperx[533].text 他霸佔你的生命他霸佔你的生命他霸佔你的生命他霸佔你的生命他霸佔你的生命他霸佔你的生命
transcript.whisperx[534].start 14253.651
transcript.whisperx[534].end 14255.472
transcript.whisperx[534].text 那邊立法會會不會有大事
transcript.whisperx[535].start 14285.45
transcript.whisperx[535].end 14285.71
transcript.whisperx[535].text 嗯好燙
transcript.whisperx[536].start 14316.198
transcript.whisperx[536].end 14316.999
transcript.whisperx[536].text 辛苦了
transcript.whisperx[537].start 15131.772
transcript.whisperx[537].end 15150.155
transcript.whisperx[537].text 好我們繼續開會接下來處理中華郵政股份有限公司114年度附屬單位預算請各位翻開建議並案及預算表那我介紹一下今天到場的官員交通部陳彥博政務次長陳次長謝謝以及我們交通產業發展及國際事務師陳晉升市長陳市長我們會計處張信英處長
transcript.whisperx[538].start 15165.12
transcript.whisperx[538].end 15188.349
transcript.whisperx[538].text 中華郵政股份有限公司王國才董事長以及會計處褚秀敏有沒有念錯啊念對還念錯喔對了齁 專委齁那這兩個有換嗎 行政院喔沒換 還是早上的嘛 好 那就不再介紹了
transcript.whisperx[539].start 15191.704
transcript.whisperx[539].end 15219.108
transcript.whisperx[539].text 好請各位這個看預算我們依序來處理第一個是第一第一到四案營業收入的部分林俊賢委員不在那我這邊是提了三案總而言之是對你們有信心所以增加兩百五千五千總共三個加起來是一億左右的預算希望能夠增列
transcript.whisperx[540].start 15220.575
transcript.whisperx[540].end 15245.005
transcript.whisperx[540].text 好那可以嗎 通過了嗎通過了是不是 沒有沒有來總經理總經理怎麼沒有在名單上好來我們請總經理報告召委 那個就是這四個案子裡面第一個案子是那個銷售收入然後銷售收入這個部分就是說因為我們那個現在就是說因為就是
transcript.whisperx[541].start 15246.025
transcript.whisperx[541].end 15270.009
transcript.whisperx[541].text 環保所以就是說我們有鼓勵封裝材料重複使用那例如說我們的IO箱便利箱便利袋如果你重複使用你可以節省3塊到12塊那另外就是說因為現在電商他其實他自己都有他自己的包材所以在封裝材料跟一些信箱這一些他的業績量比較衰退了不過就是說我們114年的預算數還是比113年的結算數多了100
transcript.whisperx[542].start 15273.63
transcript.whisperx[542].end 15297.556
transcript.whisperx[542].text 1343萬然後比113年前年一估是多了1820萬也就是說14年第一案這個編列3600多萬這個也是合理那第二案就是關於那個那個整個郵政整體收入下跌那這最主要就是說因為現在物流配送的潮流其實改變了就是說物流配送慢慢的傾向於到超商起貨或蝦皮的電到電
transcript.whisperx[543].start 15298.496
transcript.whisperx[543].end 15325.898
transcript.whisperx[543].text 所以整個因為你蝦餅你到超商起貨蝦餅電稻店你的那個那個稻宅配送這個部分就會比較少而且電稻店的單價會比較便宜那所以就是說我這個277.24億就是說可能要達到可能比較不容易而且如果用跟113年結算比我們有增加4.66億然後跟113年的預估整年度整個預算數
transcript.whisperx[544].start 15327.539
transcript.whisperx[544].end 15345.795
transcript.whisperx[544].text 那個預估數比起來261.8億會增加15億所以這個部分希望那個召委這邊看能不能體諒一下那第三個就是保惠收入這個部分因為就是因為金管會對於那個保險傾向於就是保障型
transcript.whisperx[545].start 15346.715
transcript.whisperx[545].end 15362.307
transcript.whisperx[545].text 就是說不鼓勵除息型那另外就還有一個最主要原因就是說因為這一兩年那個就是說金融投資交易熱絡那投資報酬率很高很多人投保意願跟著降低所以我們就是說希望看能不能就是114年能夠跟113年的那個預算數一樣就好
transcript.whisperx[546].start 15367.689
transcript.whisperx[546].end 15391.886
transcript.whisperx[546].text 那第四個那就大概這樣子謝謝好聽到說明那我們就那增略1%好不好看起來比較少一點1%那個很大那個像那個那個那個保險800多1%那個那個金額蠻大的對啊所以我是在說1億的話是趴在地下也不知道算千分之幾趴啦
transcript.whisperx[547].start 15392.546
transcript.whisperx[547].end 15417.715
transcript.whisperx[547].text 好不好這樣好不好我們增列五千萬啦2473億的收入預算整個營業收入我們就增列五千萬好不好給你們鼓勵啦因為你們現在這個勞務收入你們自己減編了比一三年減少了將近兩億嘛一億九那我們就希望再增加一點要有信心啦報告三位可不可以就兩千萬就好增列兩千萬就好
transcript.whisperx[548].start 15418.835
transcript.whisperx[548].end 15434.217
transcript.whisperx[548].text 因為事實上真的因為今年因為去年我們有造成虧損那今年就是說各項業務其實也都也都不大容易要達成一些既定的營運目標也不大容易這不要再討論了就增列三千萬好不好增列三千萬
transcript.whisperx[549].start 15436.5
transcript.whisperx[549].end 15454.638
transcript.whisperx[549].text 好好不好我給你們鼓勵收入希望你們增加一點是鼓勵增列3000萬好各位有沒有不同意見那報告召委那科目讓我們自行來調整自行調整你希望調整到哪裡心中有知道哪裡會賺錢的嗎突然想到了對不對好OK好謝謝召委
transcript.whisperx[550].start 15455.917
transcript.whisperx[550].end 15476.048
transcript.whisperx[550].text 接下來處理第5到26案服務費用的部分總金額是107億5564萬元有沒有提案委員要補充說明的林國成委員本席提第18案跟25案看起來似乎
transcript.whisperx[551].start 15477.128
transcript.whisperx[551].end 15495.22
transcript.whisperx[551].text 我是主張建議刪減100多億然後刪減1000萬以上這些由主席來做決定好謝謝林委員接下來陳書業召委
transcript.whisperx[552].start 15496.411
transcript.whisperx[552].end 15520.976
transcript.whisperx[552].text 好 謝謝主席 那本席在這個科目有提了第十一案二十跟二十三案那第十一案就是針對郵政公司在郵件運輸費暫儲包裝代理及加工費這個預算科目那我們看到就是說在中華郵政公司在處理這個郵件的業務我們看到它的這個就是業務是逐年在衰退
transcript.whisperx[553].start 15521.656
transcript.whisperx[553].end 15545.495
transcript.whisperx[553].text 那在114年度的預算數預估數就是叫112年還是有減少了4.59%那預算數卻增加了所以在這個部分就是本席希望中華郵政公司就是針對我們郵政單位的數位平台跟郵務系統的一個缺失要提出一個說明一個書面報告那本席是提這個凍結預算1000萬元
transcript.whisperx[554].start 15548.447
transcript.whisperx[554].end 15575.124
transcript.whisperx[554].text 那再來第20案的一個部分就是我也是提凍結案預算數1000萬元就是針對這個業務費用服務費用專業服務費電腦軟體服務費這個部分因為我們看到中環郵政公司在這個數位化的這個程度叫民間物流公司還是這個部分還是有待加強那我們也看到董事長之前也有指示說要要求資訊處要來
transcript.whisperx[555].start 15577.665
transcript.whisperx[555].end 15592.83
transcript.whisperx[555].text 盤點郵政單位的APP跟網路問題要彙整出郵政數位發展藍圖可是這個所謂的郵政數位發展藍圖的具體內容是什麼我們也希望就是郵政公司這邊提出一個書面報告後 使得動之
transcript.whisperx[556].start 15595.768
transcript.whisperx[556].end 15608.625
transcript.whisperx[556].text 好那再來第23案第23案就是我們郵政公司在研究發展費用專用業服務費這個部分在明年度的預算有編了600萬元那我們相較就是說在
transcript.whisperx[557].start 15612.73
transcript.whisperx[557].end 15638.667
transcript.whisperx[557].text 112年度的這個決算數僅執行了175萬5千元所以在這個部分我們也希望就是說郵政公司在預算上能夠確實的能夠落實執行不要服變所以我是提三減預算數100萬元然後凍結100萬然後請就是郵政公司這邊也要提出一個書面報告後來使得動之謝謝好謝謝接下來林沛翔委員
transcript.whisperx[558].start 15641.141
transcript.whisperx[558].end 15648.089
transcript.whisperx[558].text 好謝謝主席本席是獎勵案第16案推展費本來是3.2百萬 凍結40%經過溝通之後改為3.1百萬 凍結10%以上改成書面報告好 呂崑哲委員
transcript.whisperx[559].start 15659.793
transcript.whisperx[559].end 15677.09
transcript.whisperx[559].text 好 謝謝有關於外包會預算編列14億6674萬元主要是作為禁用勞務承攬人力這個部分的經費那其實這幾年郵政公司對於郵政公司員工的權益
transcript.whisperx[560].start 15678.411
transcript.whisperx[560].end 15704.232
transcript.whisperx[560].text 其實努力的成績是應該給予肯定不管是直接人員總和金融人員相關的這些權益的這個保障或者是烤雞移等做調整等等王國才董事長都有在第一線努力的為郵政勞工來爭取權益但是我們交通委員會我看我們
transcript.whisperx[561].start 15705.453
transcript.whisperx[561].end 15719.654
transcript.whisperx[561].text 不文黨派的委員對於相關外包費有關於勞務承攬這些人力的勞工權益我們認為是保障不足啦應該是要加強督促
transcript.whisperx[562].start 15720.897
transcript.whisperx[562].end 15734.454
transcript.whisperx[562].text 承攬公司對於外包人力的權益保障那我是建議不要刪減啦因為他們對於郵政勞工或者是外包的這些啊對於郵政公司編制內的
transcript.whisperx[563].start 15736.256
transcript.whisperx[563].end 15759.54
transcript.whisperx[563].text 勞工權益這幾年的努力成績是看得見那對於外包的部分我們應該要給督促請郵政公司對於外包的勞務承攬必須要保障這些勞工的權益我是建議凍結預算1000萬提出書面報告後解凍以上好 謝謝李委員
transcript.whisperx[564].start 15763.854
transcript.whisperx[564].end 15782.5
transcript.whisperx[564].text 好這個部分我個人提了兩案第一個是第五案第五案最主要這邊是凍結十億十分之一左右那主要的原因是因為我們也發覺最近在網間的詐騙集團利用中華郵政為名因為中華郵政是我們一般
transcript.whisperx[565].start 15783.34
transcript.whisperx[565].end 15798.713
transcript.whisperx[565].text 小市民大家非常信賴依賴的一個單位而且不管是郵儲啊或者保險啊或者相關的業務郵寄的業務跟你們接觸最多最值得信賴可是發現除了釣魚郵件
transcript.whisperx[566].start 15800.014
transcript.whisperx[566].end 15822.591
transcript.whisperx[566].text 釣魚簡訊 透過email等等的最近啊 甚至有在通知單留下遊牧專營的手機號碼等等啊 也造成了真正的詐騙得逞那我 因為我們剛剛才審過數位部啊那數位部其實他沒有在努力啦但講了半天也講不清楚啦那除了他們努力 我覺得各個單位也要自立自強啊
transcript.whisperx[567].start 15823.311
transcript.whisperx[567].end 15845.978
transcript.whisperx[567].text 因為你們分支點是最深入各個鄉鎮各個脈絡的你們在維學館這個部分我覺得對你們自己本身本身的部分我覺得應該要更積極的作為所以洞爵是希望你們想一些方法好想一些方法那不光是說打炸國家隊跟我們沒關係那再來是第二次案我這邊是
transcript.whisperx[568].start 15847.599
transcript.whisperx[568].end 15875.322
transcript.whisperx[568].text 是希望能夠全數減劣的原因呢最主要是第24案你們113年編600萬那目前執行率是27%所以說你們這是研究發展費用好像無法可言啦就是感覺可有可無的然後大家也不希望進步或是說沒有什麼議題可以創新的或者你們覺得創新了可能在
transcript.whisperx[569].start 15877.022
transcript.whisperx[569].end 15893.027
transcript.whisperx[569].text 團隊人接受的比例也比較低那我不清楚什麼原因那至少我們看到113年用不到三分之一的經費那你今年又編了600萬所以這個部分我覺得很奇怪那尤其從112年你們本來600萬編的五項計畫只完成了三項兩項根本沒有辦理那113年呢
transcript.whisperx[570].start 15902.284
transcript.whisperx[570].end 15925.946
transcript.whisperx[570].text 有包括兩項計劃更改內容三項暫緩我就覺得好像就是每年六百萬先框在那裡然後回去再想想到再用一下可是我們在審查預算的時候似乎不能這樣開張支票想用就用不想用就算了那每年度檢討你到底該用多少你能用多少那我們委員在審預算的時候給你該用的
transcript.whisperx[571].start 15926.486
transcript.whisperx[571].end 15952.344
transcript.whisperx[571].text 給你 那我覺得就足夠了所以我在這裡是這個提要如果說你們真的去年都 今年都用不完所以我提全數減劣這兩個提案來 我們請中華郵政說明好 那個首先針對那個林國成委員就是關於那個研究發展會這個部分事實上研究發展會這個部分600萬我們那個114年有編了商案商案要執行 那商案剛好是300萬
transcript.whisperx[572].start 15954.205
transcript.whisperx[572].end 15969.542
transcript.whisperx[572].text 那另外就是關於那個陳樹業委員所提的就是113年的那個研究發展會執行600萬執行率遍地只有100幾萬不過我們12月經過驗收然後付款之後目前是執行率是達到581萬
transcript.whisperx[573].start 15971.084
transcript.whisperx[573].end 15986.177
transcript.whisperx[573].text 那另外在114年我們還是有編了三個案子例如說那個物流業者的定價策略跟作業流程還有人工智慧還有我們的資料資料治理導入方案這三個六百萬所以114年可能這個六百萬還是用得到
transcript.whisperx[574].start 15987.758
transcript.whisperx[574].end 16014.771
transcript.whisperx[574].text 那另外就是針對針對那個調漲工資這個部分調漲工資這個部分因為雖然就是說雖然我們的預算數暫儲包裝代理加工會的預算數有調比113年調漲了5.73%不過因為公告勞工基本工資就要調4.08%那調漲基本工資之後的勞健保惠及提繳勞工退休金也相對要提高所以
transcript.whisperx[575].start 16015.111
transcript.whisperx[575].end 16042.998
transcript.whisperx[575].text 增加5.73%是不是應該也是合理的另外李崑哲委員有提到就是關於勞工權益的部分事實上我們的工會就是說工程我們有依照工程會的企業範本來訂定那相關的一些勞工的勞健保勞剛才講的勞動退休金還有職財保險等等我們都會核實的給付所以在勞工權益的方面事實上我們也是非常的用心
transcript.whisperx[576].start 16044.338
transcript.whisperx[576].end 16069.749
transcript.whisperx[576].text 那另外就是林沛翔委員針對這個減劣100萬的部分因為事實上我們114年的肌肉收入這個部分事實上我們就是因為就是說因為我們的數字是跟那個113年一樣那雖然比112年還高如果跟113年的前年的一估數比較起來我們的
transcript.whisperx[577].start 16070.849
transcript.whisperx[577].end 16091.078
transcript.whisperx[577].text 五億六千八百九十萬這個部分應該也就是說我們要努力去達成因為我們今年113年大概沒有辦法達成那我們會努力來達成希望看能不能就是這個退展會的部分不要減劣不要減劣一百萬然後另外就是魯明哲委員所提的有也是
transcript.whisperx[578].start 16092.038
transcript.whisperx[578].end 16106.845
transcript.whisperx[578].text 關於就是那個也是那個研究發展會的部分就是剛才有提到113年事實上我們有達到581萬那114年我們也編列三個案子也是要600萬那另外就是提到沒有積極防炸這個部分其實我們113年有主炸2030件主炸金額達到8.2億元
transcript.whisperx[579].start 16112.228
transcript.whisperx[579].end 16123.889
transcript.whisperx[579].text 那113年的113年的執行率偏低最主要就是因為我們的有一些113年案子是到113年才驗收付款所以造成了這個延誤以上報告謝謝
transcript.whisperx[580].start 16127.927
transcript.whisperx[580].end 16139.876
transcript.whisperx[580].text 所以113年偏低的原因是有些案子也是到113年才驗收付款112年112年偏低是113年不113年才付款你113年偏低的原因呢113年他到11月是100多萬但是到12月的時候我們已經執行到581萬就快用完了對對對
transcript.whisperx[581].start 16152.594
transcript.whisperx[581].end 16177.907
transcript.whisperx[581].text 好那這樣好不好我們現在這個大家有討論過了那我們那個服務費用的部分總共是107億5564那事實上整體預算比去年我們看了一下少了一點1億啦那各委員提案有刪除的從幾十萬到大概1000到2000堆疊加起來大概有2000萬那這個部分我們來統一處理
transcript.whisperx[582].start 16185.018
transcript.whisperx[582].end 16185.522
transcript.whisperx[582].text 我們申請500萬元
transcript.whisperx[583].start 16191.221
transcript.whisperx[583].end 16208.336
transcript.whisperx[583].text 凍結5% 呃 針對各委員的提供說明齁 使得凍滋啦沒有因為他們分散到各個郵局啦齁全台灣這麼多的郵局齁5百萬還舉手啊不用舉手了吧5%那個凍結 欸那個3個隊啊 特別凍結改成那個5 那個1億啦 好不好就是說因為 這個5% 這個107億我感覺5%比較少欸好 好 好 好 好 好 好
transcript.whisperx[584].start 16215.882
transcript.whisperx[584].end 16229.557
transcript.whisperx[584].text 好好好謝謝沒差啦因為5%你就提供書面報告啦也沒叫你專案報告啦好不好凍結的部分不要太在那個引發爭議那我們就做這樣處理3減500萬凍結5%書面報告使得動之謝謝科目自行調整
transcript.whisperx[585].start 16243.223
transcript.whisperx[585].end 16264.517
transcript.whisperx[585].text 好各位沒有問題我們接下來處理第27到40案有沒有委員要補充說明的 許副委員謝謝主席我提出第27 28 29 30還有39 40共6個案子那其中27到30部分是有針對我們中華郵政公司在112年度我們的決算竟虧損了16億多
transcript.whisperx[586].start 16269.941
transcript.whisperx[586].end 16282.784
transcript.whisperx[586].text 那教育算數更是大幅減少105億多那檢視我們的主要的營業項目裡面其中包含郵件匯兌跟檢疫授權這三項這個營業的減少的金額非常的多從5900萬到475億之間那這個部分我想
transcript.whisperx[587].start 16291.446
transcript.whisperx[587].end 16307.817
transcript.whisperx[587].text 未來我們要求這個中華郵政應該要檢討這個整個提升收入一個對策那這個連動就是在於28案的部分我想因為這樣一個虧損造成我們中華郵政公司在這個招考人力的部分好減少那造成很多地方
transcript.whisperx[588].start 16308.317
transcript.whisperx[588].end 16337.406
transcript.whisperx[588].text 的欲缺不補或是沒辦法解決一個人力的一個缺口造成我們的同仁的一個工作負擔的加重或是無法做一個調動的一個處理那所以這部分我們希望提出檢討那29案的部分我想中華郵政為了要提供客戶更便利多元的一個開戶方式滿足我們現在數位的一個客群需求那應該要去檢視所謂的一個數位存款的帳戶的一個狀況那要持續的一個進行優化的一個服務
transcript.whisperx[589].start 16338.286
transcript.whisperx[589].end 16353.755
transcript.whisperx[589].text 那30案的部分有鑒於這個郵政專用信箱的一個失控背景目前我們檢視之後發現從110年到113年7月初中的情形有減少從13萬6千多減少了2500多個
transcript.whisperx[590].start 16357.617
transcript.whisperx[590].end 16378.309
transcript.whisperx[590].text 那出租數更是大幅減少五千多個剩下八萬四千多那我想中華郵政公司為了避免這個信箱空置出租率過低也應該逐步檢討這樣的一個業務的需求那所以這個四個案子我們提出凍結勞務成本各一億元提出書面說明那39案的部分
transcript.whisperx[591].start 16381.264
transcript.whisperx[591].end 16405.526
transcript.whisperx[591].text 有鉴於這個中華郵政公司最近幾年在於受險收入投保率跟普及率都有下降的一個狀況那我們現在看到我們受險的新契約被保險人我們還是偏重在所謂的一個中高年的部分所以我想中華郵政公司也應該積極開拓一個年輕族群的一個保險市場增加一個受險的收益
transcript.whisperx[592].start 16406.667
transcript.whisperx[592].end 16431.685
transcript.whisperx[592].text 那40案的部分有介於這個電子網路這個投保業務我想其他的授權公司大家都碰撥發展那但是我們中華郵政公司成長的比例偏低只有在目前為止看到只有增加1.69%那尤其又是以員工的一個電子保單的契約為主那可見我們這個中華郵政公司在推廣這個網路投保跟
transcript.whisperx[593].start 16432.685
transcript.whisperx[593].end 16449.731
transcript.whisperx[593].text 保單電子貨的部分這個有加強的空間那所以我們針對這個兼容保險成本部分也提出凍結1億元那請中華郵輪公司提出相關的一個書面報告時的動之好謝謝好接下來陳樹葉召委再來林國成委員
transcript.whisperx[594].start 16453.102
transcript.whisperx[594].end 16476.224
transcript.whisperx[594].text 謝謝主席那本席針對中華郵政公司在114年度預算編列其他油物成本材料及用品費有編列兩億三千兩百八十八萬元一千元這樣子的預算來辦理規劃設計及開發製作及油商品等費用那我們也看到中華郵政公司這次搭上了這個棒球的熱潮
transcript.whisperx[595].start 16477.585
transcript.whisperx[595].end 16502.001
transcript.whisperx[595].text 針對我們中華職棒台灣英雄奪下了這個十二強賽的一個冠軍有來發行相關的紀念郵票紀念存摺然後也引發搶購的熱潮這個我們給予肯定所以本期這個提案主要是希望就是這個中華郵政公司能夠多有這樣子的一個創新形象的一個思維然後創造更多營業的一個收益那我這個提案我就是改成主決議謝謝
transcript.whisperx[596].start 16504.471
transcript.whisperx[596].end 16518.945
transcript.whisperx[596].text 好謝謝接下來林國成委員好我想郵政公司基本上我在看他們也已經按部就班行之有連那雖然我提了31案
transcript.whisperx[597].start 16520.926
transcript.whisperx[597].end 16535.571
transcript.whisperx[597].text 跟34案我是希望還是要凍結一下書面報告我是建議凍結20%然後提出書面報告以上好那我們請中華郵政來說明一下
transcript.whisperx[598].start 16536.651
transcript.whisperx[598].end 16557.605
transcript.whisperx[598].text 針對那個習委員所提的就是113年虧16.5億其實這個最主要就是我們的海外投資的避險成本造成的就是我們在海外投資大概有1兆2600億那因為都是外幣基價以美金為主那這個因為利差兩國的利差造成我們避險成本在去年虧損了294億那今年也應該接近這個數字並沒有減少
transcript.whisperx[599].start 16564.449
transcript.whisperx[599].end 16586.624
transcript.whisperx[599].text 那另外招考人員逾缺不補其實並沒有逾缺不補的情形就是說事實上因為油務造成的虧損我們去年虧了3億多那今年大概要虧16億那因為虧損表示說你的油件量減少那你支出如果支出不變那你收入減少然後支出又不變的話整個虧損就會擴大所以這個是
transcript.whisperx[600].start 16587.965
transcript.whisperx[600].end 16611.117
transcript.whisperx[600].text 並不是亦缺不補最主要就是郵件量下跌所以我們必須要遵截一些人手不然郵務的虧損沒有辦法去改變那另外數位存款帳戶這個確實就是推動的沒有達到我們預期的效果不過就是說因為最主要就是數位存款帳戶它增加一個帳戶但是它很多功能也慢慢的在我們的實體存款帳戶裡面的APP裡面也可以去達成所以
transcript.whisperx[601].start 16611.517
transcript.whisperx[601].end 16617.932
transcript.whisperx[601].text 迫切性沒有那麼足夠不過我們還是會努力提供一些獎勵措施來推升數位成本帳戶
transcript.whisperx[602].start 16619.011
transcript.whisperx[602].end 16640.498
transcript.whisperx[602].text 那專用信箱衰退確實也是衰退就是你的信箱數跟你的租用數確實是衰退那這個我們也會積極的透過一些來研議看看就是說到底專用信箱衰退的原因或者必須用什麼手段來一些獎勵來引起各級來積極來促銷專用信箱
transcript.whisperx[603].start 16642.879
transcript.whisperx[603].end 16670.87
transcript.whisperx[603].text 那授權收入減少最主要保障還是在中高年人最主要就是說因為那個比較年輕人他可能他的經濟他的收入收益並沒有那麼高那另外就是因為剛才有提到就是金融投資的收益性比較高那很多年輕人認為說我賺這麼多錢我可能就是來買一些金融性商品或者就是說我的錢根本也沒有嫌疑的錢來繳付這個授權收入那我們會
transcript.whisperx[604].start 16672.03
transcript.whisperx[604].end 16689.29
transcript.whisperx[604].text 透過一些行銷活動來鼓勵就是來招攬一些年輕人另外就是那個網路投保的部分我們事實上我們在今年有推動一個新的88的定期授權我們希望透過這個新的授權能夠
transcript.whisperx[605].start 16690.959
transcript.whisperx[605].end 16705.694
transcript.whisperx[605].text 在網路頭髮或者電子保單這一方面能夠有所注意那另外就是陳樹業委員所提到的剛才有提到我們的那個材料用品還有就是提到那個12強就是鼓勵我們多做一些那個
transcript.whisperx[606].start 16706.975
transcript.whisperx[606].end 16735.525
transcript.whisperx[606].text 極有的行銷部分那確實在在今年的我們11月24號取得那個棒球12強世界賽冠軍的時候我們有推出了明信片跟我們的那個遊者遊者然後還有個人化遊票那這一組最近看起來就是說我們大概我們的遊者的部分我們大概可以賣了兩萬兩萬三千多本然後明信片有賣了十幾萬張那整個加起來有有大概有一千一千一千
transcript.whisperx[607].start 16736.025
transcript.whisperx[607].end 16762.615
transcript.whisperx[607].text 一千兩百萬左右的一些收入那另外林國成委員所提到的這個第31案跟第34案剛才有提到就是其實他像剛提到的就是像窗口才了兩百幾元最主要就是因為事實上現在零貴的成分就是說一般年輕人都不零貴大部分零貴都是大概六十歲以上那所以你的整個業務量整體的業務量是衰退那如果你
transcript.whisperx[608].start 16763.155
transcript.whisperx[608].end 16777.746
transcript.whisperx[608].text 因為量衰退然後你沒有人員四度終結的話那要達成公司的營業是不容易所以我們按照我們的人數評給標準應該是要採200多個但是事實上我們也沒有採那麼多只有採100多個
transcript.whisperx[609].start 16779.307
transcript.whisperx[609].end 16806.703
transcript.whisperx[609].text 那另外就是因為現在網路那麼發達那很多事情都是臨櫃可以完成那即使這另一方面也顯現說郵局做了一些改變方便我們的儲戶就是說你很多很多那個業務不必到郵局來辦理在那個網路上就可以完成了那希望就是說各位委員支持我們的一些一些就是盡量就是就是盡量支持我們郵局的預算謝謝
transcript.whisperx[610].start 16808.084
transcript.whisperx[610].end 16827.775
transcript.whisperx[610].text 好請王董事長補充說明好各位委員大家好我想大家很關心我們112年的結算就是郵政公司首度的虧了16億好跟各位報告經過我們去年下半年下半年大家努力去年已經轉虧為盈了大概可以賺25億
transcript.whisperx[611].start 16829.278
transcript.whisperx[611].end 16858.5
transcript.whisperx[611].text 那的確在郵局這邊郵政公司是面臨到很大的挑戰郵件減少包裹競爭然後我們的壽險還包括儲備都面臨包括銀行跟壽險公司的競爭雖然剛剛9位所提的很好比如說我們郵政專用信箱現在是使用率是6成但是我們的Io箱大概5成多我們現在也在不管是Io箱把它轉成這個我們叫做這個寄取店還有包括數量的
transcript.whisperx[612].start 16859.321
transcript.whisperx[612].end 16887.181
transcript.whisperx[612].text 我們因為櫃檯來的很少以後我們這個櫃檯有一些也會把它變成比如說愛遊鄉或是這方面的一部分也就是說遊物的轉型現在是最重要的一件事情了郵政公最重要的一件事情現在也都這個按照我們的步伐包括在數位轉型還有包括我們客戶關係的維持也都持續在進行中那很謝謝各位的支持 謝謝
transcript.whisperx[613].start 16889.602
transcript.whisperx[613].end 16906.995
transcript.whisperx[613].text 好這個謝謝中華郵政的說明那我們這本案提案的委員大致已經補充說明完畢看一下我們刪減的部分刪減的部分到現在是到40案好那從幾百萬到1億多這邊要先講委員對刪減有沒什麼堅持
transcript.whisperx[614].start 16916.297
transcript.whisperx[614].end 16938.788
transcript.whisperx[614].text OK 沒有沒有堅持嗎好我想這樣因為這個項目這個費用是蠻多的但是我覺得對於我們第一線的遊客人士費用也在這裡為了避免錯誤傳達訊息我覺得這個部分我們就採凍結給他們說明各位委員有沒有其他的想法
transcript.whisperx[615].start 16940.029
transcript.whisperx[615].end 16963.665
transcript.whisperx[615].text 對我沒問題就不刪那我們凍結凍結10%請你們提供書面報告各委員提的方向不一樣請你針對各委員提書面報告後時得凍之好各位如果沒有意見我們就接續往下等一下待會有個案就三期案三期案改組決議我們繼續處理41案到46案
transcript.whisperx[616].start 16974.906
transcript.whisperx[616].end 16985.608
transcript.whisperx[616].text 有關於43案管理費用的預算編列了31億6587萬我們依據違反勞動法律事業單位僱主的查詢系統資訊中環郵政公司在113年度發生了兩件違反勞動基準法的違規狀態違反的內容包括延長工時
transcript.whisperx[617].start 17002.372
transcript.whisperx[617].end 17019.158
transcript.whisperx[617].text 衛醫規定加給工資衛醫法給付休息日工作工資或者是衛醫規定每七日中給予勞工一日例假及一日休息日這個嚴重影響郵政勞工的權利應該要檢討改善
transcript.whisperx[618].start 17019.838
transcript.whisperx[618].end 17045.183
transcript.whisperx[618].text 那郵政公司這幾年對於勞工權的保障有在努力但是還是有這些事情那應該要檢討改善那有來做說明啦我可以同意改動解一千萬提書面報告後解凍以上好林國成委員我是44案啦沒啦我講一下啦沒關係啦
transcript.whisperx[619].start 17046.673
transcript.whisperx[619].end 17064.868
transcript.whisperx[619].text 沒有啦 我講一下 媽你遇到王國才就什麼都不能動我是提凍結啦 本來是百分之二十可是在這個部分有主席來做裁定啦好 我是提案如書面說明 請中華郵政來說明
transcript.whisperx[620].start 17071.145
transcript.whisperx[620].end 17086.445
transcript.whisperx[620].text 李君哲委所提的就是兩件違反勞基法這個部分其實第一案我們是被就是說因為他認為說我們沒有給他工資但最主要就是這個員工他沒有上班然後戶頭解清了那後來我們有到法院去提出但是那個
transcript.whisperx[621].start 17087.767
transcript.whisperx[621].end 17104.057
transcript.whisperx[621].text 後來還是被裁判了我們有提起訴願訴願被駁回但是我們還是提起刑律訴訟那另外就是第二個勞基法這個部分我們就是可能就是我們的主管信念不足了代班主管沒有去注意到這個這個我們也會去做一個改善
transcript.whisperx[622].start 17104.717
transcript.whisperx[622].end 17119.833
transcript.whisperx[622].text 那另外就是林國成委員就是關於那個重視交通車輛違規這個案件事實上我們是113年確實比113年還要多啦那我們會已經要求各級加強去注意尤其是因為現在科技執法所以一些違規會比較嚴格那我們已經對謝謝謝謝
transcript.whisperx[623].start 17128.161
transcript.whisperx[623].end 17141.19
transcript.whisperx[623].text 總經理我跟你講我在當議員16年都幫你們開了很多協調會也就是他確確實實在這個部分在交通法規裡面他是不把你們納入是緊急人員的
transcript.whisperx[624].start 17142.131
transcript.whisperx[624].end 17163.669
transcript.whisperx[624].text 那都是市警局我幫你們開了好多節省了好多單子那我是認為這個也要把它當成一個問題來研究到底是不是請求警察局或者交通法規這裡要把你們拉進去或者你們應該要怎麼約束這個部分我還是建議啊還是建議一定要做
transcript.whisperx[625].start 17165.851
transcript.whisperx[625].end 17186.935
transcript.whisperx[625].text 好的這個階段因為所有委員提案的方向不一但是都是凍結10到20%那我們就採凍結10%請提書面說明 使得動之各位有沒有不同意見沒有不同意見對啊就整體啊整體整體整體整體啦好各位沒有問題我們接續處理第47到第49案
transcript.whisperx[626].start 17199.854
transcript.whisperx[626].end 17209.247
transcript.whisperx[626].text 身處的部分可能李昆哲委員要發言一下好 謝謝固定資產建設及改良這個預算47億8925萬元相關的預算包含了這些專案計畫一般建築及設備等等
transcript.whisperx[627].start 17216.337
transcript.whisperx[627].end 17228.365
transcript.whisperx[627].text 那過去部分專案我們來考量他執行的狀況不佳啦所以說因為執行狀況不佳所以我建議刪減預算五千萬凍結五千萬提書面報告後解凍以上
transcript.whisperx[628].start 17238.873
transcript.whisperx[628].end 17264.28
transcript.whisperx[628].text 我們請中華郵政說明執行不佳的情況說明一下最主要就是因為我們台北郵企都更這是一個很大的工程但是因為台北郵企的那個北門那個博物館那個那個是試定古蹟那試定古蹟你要去翻建可能必須要經過那個那個文資審議那最主要就是文資審議這邊卡到了所以影響到我們後續的一個那個一些工程的一些執行那這個是不
transcript.whisperx[629].start 17265.281
transcript.whisperx[629].end 17271.44
transcript.whisperx[629].text 沒有辦法因為事實上文職審議他也獨立的他沒有辦法去就是說影響他的所作的決定謝謝
transcript.whisperx[630].start 17273.206
transcript.whisperx[630].end 17301.059
transcript.whisperx[630].text 好林國東也不管是董事長或總經理都可以回答我們油儲現在投入股市的投資報酬率有多少金額有多少請說明一下好不好那個投資股市大概2500億左右那分儲位跟授權那儲位大概7點多吧那授權應該10點多對對報酬率因為7點多當然是比較少因為油局不是不是因為我們
transcript.whisperx[631].start 17302.559
transcript.whisperx[631].end 17326.047
transcript.whisperx[631].text 總共16 平均16啦 到目前16那最主要 阿不然你告訴我看11月的數字 到底多少報酬率 報期率多少整個年度報酬率是16%對啊 中間率你要暗槓嗎不是 我是算到11月我的資料是到11月哇 你12月一下賺8%有可能啊 中間率 我跟你講
transcript.whisperx[632].start 17327.327
transcript.whisperx[632].end 17349.39
transcript.whisperx[632].text 我會問這些東西就是我多少也列之一二喔所以不要這樣啦 總經理我們說實在的 到底多少對 到了12月底的話是16%對嘛 對嘛 好啦加強一下啦 人家都賺爆了你們還是只有18%多好啦好啦好啦
transcript.whisperx[633].start 17352.855
transcript.whisperx[633].end 17358.827
transcript.whisperx[633].text 那個 崑德偉崑德偉部長剛剛上台 你去刪人家五千塊幹什麼
transcript.whisperx[634].start 17362.606
transcript.whisperx[634].end 17384.696
transcript.whisperx[634].text 剛才那個總經理已經說明的很清楚因為他這屬於文資審議所以這個行政程序繁瑣他沒有辦法去執行就是說他的執行率會不佳那你要三五千啊他三五千然後保留然後凍結五千啊還是三五千啊這符合他們的這些執行率董事長還要三五千嗎差不多啦可以啦沒問題
transcript.whisperx[635].start 17387.88
transcript.whisperx[635].end 17410.112
transcript.whisperx[635].text 是不是2500好了因為我想說因為我想說我們北門的都更我現在也在催他們不要說好像就是認為執行不到我覺得我要提醒郵政公司都更是很重要但是文資的保護更是重要的工作以上
transcript.whisperx[636].start 17411.533
transcript.whisperx[636].end 17434.829
transcript.whisperx[636].text 好 這樣好不好大家已經討論到一定的階段了因為我覺得也請中華郵政能夠了解委員在審預算每一個不管是凍結3它有它的一個背景跟意義啦有意義也就是說你做得很慢或者你困難沒辦法解決我們什麼都不說就這樣過了對委員會很奇怪那這樣我們是不是就3.3千萬啦好不好3.3千萬凍結5千萬提供書面報告16通知
transcript.whisperx[637].start 17441.445
transcript.whisperx[637].end 17447.829
transcript.whisperx[637].text 因為他不差五百萬你知道嗎我在看崑哲偉呢
transcript.whisperx[638].start 17450.785
transcript.whisperx[638].end 17473.939
transcript.whisperx[638].text 好沒關係那我們就刪減2500萬凍結5000萬提供書面報告使得動之科目自行調整但要拜託中華優政很多案子不是放在那邊每年省預算基本上都沒什麼動作這樣是不行的好大家沒有意見我們接續處理主決議我們決議案50案到60案請各位翻開第50案
transcript.whisperx[639].start 17487.372
transcript.whisperx[639].end 17501.891
transcript.whisperx[639].text 好第五十案中間還有人有問題嗎遵照辦理好那第五十案照案通過第五十一案遵照辦理第五十一案照案通過第五十二案遵照辦理第五十二案照案通過第五十三案遵照辦理
transcript.whisperx[640].start 17502.332
transcript.whisperx[640].end 17525.436
transcript.whisperx[640].text 第53案 遭案通過第54案 徵照辦理第54案 遭案通過第55案 徵照辦理第55案 遭案通過第56案 徵照辦理第56案 遭案通過第57案 徵照辦理第57案 遭案通過第58案 徵照辦理第58案 遭案通過第59案 徵照辦理第59案 遭案通過第60案 徵照辦理第60案 遭案通過第61案 徵照辦理第61案 遭案通過第62案 徵照辦理
transcript.whisperx[641].start 17530.751
transcript.whisperx[641].end 17531.251
transcript.whisperx[641].text 我先回去了
transcript.whisperx[642].start 17564.988
transcript.whisperx[642].end 17569.132
transcript.whisperx[642].text 市長那個登位部長已經答應兩次了就是他們現在就是
transcript.whisperx[643].start 17585.224
transcript.whisperx[643].end 17601.035
transcript.whisperx[643].text 然後觀光局是一千兩百萬然後剩下三千七百萬是去年台南美式公路組織那他們現在就是每次都要上千啦因為這個拜託晚吃一下答應我兩次不要為這個事情在我上次開會的時候我現在現在也不會有我先去買這次的
transcript.whisperx[644].start 17613.103
transcript.whisperx[644].end 17626.752
transcript.whisperx[644].text 我再問一下我昨天才跟陳局長幫忙通電話我說陳辦人不知道他在把我的事情當作沒事啊他確實有跟我的申請3800萬這個部分我們要上千拜託跟我來催一下這種一定要給的做盤面之外不要我催的盤面真的沒有
transcript.whisperx[645].start 17643.243
transcript.whisperx[645].end 17644.204
transcript.whisperx[645].text 幫忙一下 好不好謝謝
transcript.whisperx[646].start 17672.072
transcript.whisperx[646].end 17673.273
transcript.whisperx[646].text 這裏面有個寬窗
transcript.whisperx[647].start 17698.744
transcript.whisperx[647].end 17700.688
transcript.whisperx[647].text 你还不回去我两个月没回去
transcript.whisperx[648].start 17712.76
transcript.whisperx[648].end 17718.261
transcript.whisperx[648].text 我會啊 現場議長 立委 你看不看不亮這樣得了啊老闆已經說了 那不值得再講話了你去抽煙啊你陪他去抽煙啊
transcript.whisperx[649].start 17742.065
transcript.whisperx[649].end 17755.614
transcript.whisperx[649].text 我要退回一串我不懂啦我看官方都認得你過程三盤 二盤 三盤你都這樣做 等一下要做好料啦兩次賣一下 扣打 扣打兩次一個案子兩次喔對面都很大
transcript.whisperx[650].start 17777.903
transcript.whisperx[650].end 17779.925
transcript.whisperx[650].text 這裏都沒有腦袋
transcript.whisperx[651].start 17798.365
transcript.whisperx[651].end 17798.866
transcript.whisperx[651].text 謝謝大家
transcript.whisperx[652].start 17862.442
transcript.whisperx[652].end 17863.182
transcript.whisperx[652].text 不用喉嚨出來
transcript.whisperx[653].start 17885.341
transcript.whisperx[653].end 17894.808
transcript.whisperx[653].text 好各位委員我們繼續開會接下來我們要處理觀光署相關的一個預算我們補充介紹我們觀光署周永輝署長
transcript.whisperx[654].start 17897.732
transcript.whisperx[654].end 17904.066
transcript.whisperx[654].text 還有我們主計是杜曉英主任杜主任剩下都是團隊嘛OK
transcript.whisperx[655].start 17908.379
transcript.whisperx[655].end 17931.255
transcript.whisperx[655].text 好的 請各位委員翻開交通部觀光署及所屬114年年份可否 要退回啊沒有 可否 讓我說幾句話我本來原本是把基金跟觀光署的預算要退回去 第一個
transcript.whisperx[656].start 17932.316
transcript.whisperx[656].end 17955.169
transcript.whisperx[656].text 我是替立法委員啊爭取尊嚴的問題我要拜託次長拜託署長立法委員反映給你們有兩個問題我極為不滿第一大鵬灣他是花生車禍之後圍欄以及電線桿損壞之後我反映請他們儘快繼續結果
transcript.whisperx[657].start 17962.165
transcript.whisperx[657].end 17976.479
transcript.whisperx[657].text 偷了老半天還騙委員說修好結果我叫人去看根本沒有修這個是對立法院非常不尊重的這是第一點第二點人民的請願案我反映給署長
transcript.whisperx[658].start 17977.68
transcript.whisperx[658].end 18002.032
transcript.whisperx[658].text 署長你也答應要處理我認為公務人員依法行政這是OK的但是人民油沉淹案立法委員要提出這些陳情案那大家可以大家來協調溝通本來就是這樣署長你知道可以放縱你的處長都不處理搞了
transcript.whisperx[659].start 18004.173
transcript.whisperx[659].end 18010.639
transcript.whisperx[659].text 半年都不處理所以本來我對這些預算是非常有意見的但是
transcript.whisperx[660].start 18012.413
transcript.whisperx[660].end 18036.431
transcript.whisperx[660].text 經過昨天署長你也答應我但是現在在開會有錄音請問你我現在那個陳情案件人家是有理由的你看也認為不行的啊你們到底要不要處理我要你答覆要不要處理那個次長你知道這件事情我坦白跟你講找署長以後
transcript.whisperx[661].start 18038.012
transcript.whisperx[661].end 18052.499
transcript.whisperx[661].text 沒有用我才去找部長可是找部長還是一個月沒有下文啊部長跟我講說他有交代啦為什麼會產生這個問題這是對一個立法委員非常不尊重不是只有我的問題
transcript.whisperx[662].start 18053.703
transcript.whisperx[662].end 18071.937
transcript.whisperx[662].text 有可能發生到所有委員的身上所以這個我坦白跟次長講也要跟署長講屬下所做的事情雖然你們無法去監督他就代表你們領導有問題所以我要你如果要審
transcript.whisperx[663].start 18073.945
transcript.whisperx[663].end 18097.601
transcript.whisperx[663].text 請問第一個這個事情人民懲驗案要不要解決你只要說要解決今天大家來審預算我沒意見只要做不到那很簡單我們就等事情解決以後再來審這個預算第一個第二個如果做不到那我也贊成送大會再來審這以上這是我身為一個立法委員
transcript.whisperx[664].start 18098.502
transcript.whisperx[664].end 18118.638
transcript.whisperx[664].text 被公務機關欺負的一個心聲我希望各位委員能夠體諒我這些並非是找麻煩只是我把一個立法委員遇到的事情提出來給次長給署長你了解這些事情如何去處理
transcript.whisperx[665].start 18120.66
transcript.whisperx[665].end 18141.555
transcript.whisperx[665].text 好 謝謝林委員 謝謝你們廣泛討論的概念不是 你一個委員這樣跟你們講那麼多 也講到部長處理到這樣我覺得怪怪的你這樣好不好 真的回應一下真的跟昭和跟各位委員報告一下委員有提示這兩個案子我們也確實覺得處理得不夠積極
transcript.whisperx[666].start 18143.096
transcript.whisperx[666].end 18167.329
transcript.whisperx[666].text 第一個案子可能大家也都有碰到就是說我們有一些譬如說我們的公用設施然後有違規的車輛駕駛人把它撞壞了撞壞以後本來就是要賠償的這賠償的部分通常來講有幾種處理的模式我們管理處當時是按照原例就是撞壞的要賠所以撞壞的去修好
transcript.whisperx[667].start 18168.149
transcript.whisperx[667].end 18187.59
transcript.whisperx[667].text 那可是撞壞人他並沒有把他修好那當然就是我們自己要先修然後安全優先然後我們再去去球場所以想說方法要善巧我這個也利用這個機會表達那也處理完那第二個是因為三坨台風啦三坨台風也是一樣
transcript.whisperx[668].start 18188.351
transcript.whisperx[668].end 18208.311
transcript.whisperx[668].text 有些民眾的審議我們也希望能夠更圓滿那這個方式我們已經都已經協調好了這也是請委員放心那麼也按照這個協議的部分達成協議特別利用這個機會跟大家報告說明一下好我們希望有錄音錄影為憑
transcript.whisperx[669].start 18218.251
transcript.whisperx[669].end 18239.52
transcript.whisperx[669].text 麥克風要記錄一下其實部長我跟他反映以後他也覺得不可思議這麼小的事情簽到的人民權利為什麼處理這樣部長也覺得很怪所以部長當然也答應說這個一定要處理所以市長你也知道這個事當然我不是針對署長啦
transcript.whisperx[670].start 18241.181
transcript.whisperx[670].end 18261.631
transcript.whisperx[670].text 因為我那邊被騙了一遍所以我心裡面覺得所以為什麼要在開會的時候我要去請你承諾要處理就審一算不處理就擇日再審這個很簡單好不好昨天晚上郭城委員跟我有溝通協調我們也找署長電話上也溝通協調
transcript.whisperx[671].start 18264.412
transcript.whisperx[671].end 18293.233
transcript.whisperx[671].text 我想署長你講的話也算話吧好不好我也是掛個人頭保證人在這邊啊好不好那郭政委員受到那麼不尊重的待遇啊聽說你們處長也換人了嘛是不是處長也換掉了嘛齁處長換掉了啦好不好請郭政委員你就喜怒一下好不好畢竟他們參議算是你的選擇我干涉不了你啊好不好謝謝啦好不好
transcript.whisperx[672].start 18295.273
transcript.whisperx[672].end 18321.46
transcript.whisperx[672].text 好 今天其實建議署長啦 當然次長也在這裡啦很多的這樣的損害 我跟你講你一定要用待位求償的概念像路燈 路邊被撞斷了 路燈可能在路邊你說我要找那個撞的人陪完之後再修路燈這個拜託 以後遇到這個事情不要再民意代表或者人民提醒你你修好再待位求償 好不好這個部分希望這個未來才會這樣做
transcript.whisperx[673].start 18322.62
transcript.whisperx[673].end 18332.984
transcript.whisperx[673].text 那我們現在就是繼續開始處理預算首先第一案第一案稅入罰款及賠償收入罰金罰還及貸金罰金罰還這個部分
transcript.whisperx[674].start 18338.786
transcript.whisperx[674].end 18366.438
transcript.whisperx[674].text 提案委員 林委員 林國聰委員本席提這個第一案是想甄列說一百萬因為這個我在看現在的業務慢慢觀光也慢慢這個業績回籠所以應該甄列一百萬這個經過郭通他們也認為OK的我們遵照辦理好 第一案我們稅務
transcript.whisperx[675].start 18368.528
transcript.whisperx[675].end 18394.217
transcript.whisperx[675].text 罰款及賠償收入罰金罰還及貸金罰金罰還我們增列100萬好沒有意見我們繼續審理第二案第二案是稅出的通案業務費水電費那這個部分是我個人有提案那當然對水電費的部分到後面我們看到你增加92萬比例上面不高
transcript.whisperx[676].start 18395.137
transcript.whisperx[676].end 18421.463
transcript.whisperx[676].text 那我們還是希望能夠節能省碳尤其節電的部分政府率先來做那我這個第二案就改成主決議好不好希望你們來說明一下你們有什麼方法來去做好這樣的一個民眾的示範節能省碳是好第二案改為主決議好接下來處理第三到第七案第三到第七案
transcript.whisperx[677].start 18423.993
transcript.whisperx[677].end 18446.788
transcript.whisperx[677].text 林國成委員好那個這裡我提了本席提了第四案跟第七案那本來我是要求三列五百萬那然後凍結百分之二十那其他的話經過溝通充分了解之後三預算的部分就不三所以兩個都希望凍結百分之十以上
transcript.whisperx[678].start 18450.905
transcript.whisperx[678].end 18467.829
transcript.whisperx[678].text 好那邱文華委員這邊有要補充說明嗎沒有好沒有好好那我們就直接來處理現在3到7還沒有還沒有好我們現在是處理3到7第一幕一般行政的部分總經費是10億1892萬餘元啊啊
transcript.whisperx[679].start 18480.322
transcript.whisperx[679].end 18498.509
transcript.whisperx[679].text 那有沒有三個委員要堅持的沒有嗎好好那一般行政的部分好我們凍結10%提供書面報告時的動之好
transcript.whisperx[680].start 18501.035
transcript.whisperx[680].end 18517.751
transcript.whisperx[680].text 好 沒有意見 接續處理8到61案 這個案量非常多那這個請總共10億2,209萬餘元來 黃建豪委員再來 等一下 先有要講話的 何新淳委員好 林沛翔委員 陳樹葉召委好 先講
transcript.whisperx[681].start 18519.625
transcript.whisperx[681].end 18536.406
transcript.whisperx[681].text 好 谢谢赵伟哦我提的是12 26 43跟54好那其实12跟26类似的部分就跟观光观光客的人次有关系一个是进来一个是出去进来部分当然这个他们也来说明了他们有些解释说进来要来
transcript.whisperx[682].start 18537.327
transcript.whisperx[682].end 18552.258
transcript.whisperx[682].text 行銷針針對東南亞國家針對這個亞洲國家來行銷那因為這個來台理事的確一直沒有達成這個目標和到底後續要怎麼做我們希望說提出書面報告來解釋說到底要怎麼達成你們的這個目標的第一件事情他26號是針對
transcript.whisperx[683].start 18555.14
transcript.whisperx[683].end 18573.613
transcript.whisperx[683].text 這個入客團的這部分就是我們出團去副入的組團的禁令的部分因為我想觀光署也是屬於執行單位這個可能不是你們的直接能夠管轄的政策這只是整個政府的上位政策要這樣做我想這還是要幫旅行業說一點話就是這個事情等於讓整個客群影響非常大
transcript.whisperx[684].start 18575.168
transcript.whisperx[684].end 18590.16
transcript.whisperx[684].text 所以我是希望說也是提出凍結讓你們來說明那其實43案也是類似也是幫旅行業說話其實我們看到說現在出團的這個比例因為現在不能去大陸所以世界各國去出團但旅行業自己的營收其實相對是比較低的但是
transcript.whisperx[685].start 18591.281
transcript.whisperx[685].end 18607.162
transcript.whisperx[685].text 機票的就是航空公司的這個稅後存益是很高的這很有趣啊就說如果今天航空公司跟旅行業之間應該是一個共生的談判的問題就是觀光署的角色應該是去幫忙旅行業業者來協助跟這個旅行航空業來談判來談判來溝通哦
transcript.whisperx[686].start 18608.544
transcript.whisperx[686].end 18627.522
transcript.whisperx[686].text 因為既然都放在所謂交通部底下的相關單位我想他也是有原因的就是你要觀光跟交通有必然的關係那觀光業已經這麼慘淡了也不能去大陸那大陸也不能進來那他們變成要去開發其他的這個旅遊航線那出國旅遊航線最最主要的工具當然就是機票嘛
transcript.whisperx[687].start 18628.163
transcript.whisperx[687].end 18648.514
transcript.whisperx[687].text 那結果就是我們可以看到說旅行業為了東省西省然後自己搞這麼辛苦但是我們的這個航空公司的稅收存益其實反而更高所以我們希望說在這個這一部分我們希望這個觀光署能夠協助我們旅行業者來跟航空公司來談判票價部分讓業者有利可圖了坦白說這樣子那讓民眾也能夠有比較好的這個出國消費的動機
transcript.whisperx[688].start 18649.835
transcript.whisperx[688].end 18677.063
transcript.whisperx[688].text 那再來是這個54案是針對當然違法旅宿的部分這你有提到的時候你們有來說明這部分沒關係你們有來說明說這不是你們的主要業務這是變成地方政府在管轄但是我們要希望說觀光水上扮演好這個把關的角色地方政府怎麼樣去管理所謂違規的民宿違規旅館業你們要提供什麼樣準則或者甚至是你們應該去協調數位部來幫你們去偵測他們現在有說AI工具嘛打在有AI工具那是抓這個
transcript.whisperx[689].start 18678.383
transcript.whisperx[689].end 18701.194
transcript.whisperx[689].text 違法的這個民宿跟旅館是不是也有相關的工具可以使用這個我希望你們做個整合 以上 謝謝好 何欣晨委員好 謝謝 本人在這一個項下有提三個案子那我先講我第三十案一 二 三 對 三個案子第三十案 我關心的是這個台灣PASS的這個問題因為我們公安署要推觀光
transcript.whisperx[690].start 18701.994
transcript.whisperx[690].end 18728.823
transcript.whisperx[690].text 那觀光裡面我們分北中南東那過去呢我記得我們曾經在交通委員會裡面也有提醒觀光署應該把我們中央跟地方各種的Path應該要整合比如說像我們也經常去日本去韓國他們也都會以城市為中心去推一些這個Path那這個Path裡面一定會包含什麼交通各式各樣的交通運具還有呢觀光景點甚至呢還有地方商圈的消費折扣等等
transcript.whisperx[691].start 18730.003
transcript.whisperx[691].end 18759.122
transcript.whisperx[691].text 那這個整合起來的要讓人家手上一卡一個pass是非常好用的才能夠促進這個國際觀光客來台的意願還有甚至深入到每一個城市的意願那我現在看到的是第一個我們從台灣pass之前的台灣好玩卡那成效到底怎麼樣我想署長等一下可以講一下起碼就我現在找到手上有的資料好像都著重在北北基跟南部那中台灣
transcript.whisperx[692].start 18760.263
transcript.whisperx[692].end 18785.197
transcript.whisperx[692].text 好像已經有的縣市沒有涵蓋在裡面那我知道的是好像台中市現在就沒有在所謂的台灣 pass 裡面那這個對整個台灣的國際的一個不管是觀光旅遊還有呢我們城市間的一個觀光旅遊尤其對台中市來講我覺得是一個缺憾那這個第一個原因是什麼第二個我們如何可以在
transcript.whisperx[693].start 18786.318
transcript.whisperx[693].end 18809.93
transcript.whisperx[693].text 整合 精進 希望能夠涵蓋到所有全台灣能夠去推動這樣子的一個台灣PASS 台灣好玩卡這第一個 第二個現在我又看到台灣PASS又有一個高鐵版你們又有進階版我剛剛講了 本來這種PASS就必須要有交通運具跟其他的配套交通運具以台灣現在來講 就高鐵 台鐵
transcript.whisperx[694].start 18813.021
transcript.whisperx[694].end 18827.219
transcript.whisperx[694].text 那接著呢還有各個公路系統客運巴士等等那我就請教一下我們現在高鐵的這樣子的一個台灣PASS我們的成效如何那未來我們要如何精進因為我手上
transcript.whisperx[695].start 18828.22
transcript.whisperx[695].end 18845.309
transcript.whisperx[695].text 拿到台灣PASS高鐵板到今年12月19號發行量勉強可以啦其實數字也不怎麼好啦那這個原因到底是在哪裡是因為不符合國際觀光客的需求還是他不好用還是怎樣我覺得
transcript.whisperx[696].start 18846.189
transcript.whisperx[696].end 18875.809
transcript.whisperx[696].text 我希望這個觀光因為我的這個提案只是稍微凍結500萬元但是我是希望能夠給我們觀光署一個要求是不是可以好好的來告訴我們我們如何行銷台灣在這個國際觀光旅客進來台灣之後我們如何讓他們覺得方便好用又好玩而且又可以認識台灣覺得台灣是一個No.1的一個旅遊的一個首選這個部分我希望有書面報告之後
transcript.whisperx[697].start 18876.549
transcript.whisperx[697].end 18878.611
transcript.whisperx[697].text 我記得有一個數字說全台灣大概超過200萬人以上是熱衷於這個
transcript.whisperx[698].start 18897.346
transcript.whisperx[698].end 18912.067
transcript.whisperx[698].text 那露營除了有土地這個場地的合法問題要解決以外我覺得我們觀光署在這個要求業者是不是可以投保公共意外責任險這個部分可不可以要求
transcript.whisperx[699].start 18912.628
transcript.whisperx[699].end 18928.44
transcript.whisperx[699].text 因為去露營我們都希望平安不要發生任何意外但是如果一旦發生意外如果我們沒有強制業者有這樣子一個投保的義務然後負擔起這個責任的話
transcript.whisperx[700].start 18932.482
transcript.whisperx[700].end 18948.549
transcript.whisperx[700].text 應該說這個觀光客我們國人去露營的這個權益還有他的安全這個真的是會受到很大的影響那這個影響的不是只有說這個消費者之間跟民宿或是跟露營場地業者的一個糾紛問題我覺得這影響的還是我們整個對政府
transcript.whisperx[701].start 18951.826
transcript.whisperx[701].end 18973.942
transcript.whisperx[701].text 管理露營這個產業的一個信任度到底我們有沒有能力管能不能管好能不能管得好我覺得這個是信任的問題我也凍結十分之一的預算希望公共署給我詳盡的一個對策那還有一個書面報告然後才可以動之那最後還有一個提案第三個提案
transcript.whisperx[702].start 18975.784
transcript.whisperx[702].end 18996.562
transcript.whisperx[702].text 這個是有關我們在管理旅行業的業務的部分之安我們所有國人的各自的問題我可以跟大家講我曾經在我的手機上收到一個簡訊那是一個東南還是哪一個旅行社通知我的
transcript.whisperx[703].start 18997.262
transcript.whisperx[703].end 19007.931
transcript.whisperx[703].text 那通知我說的因為呢疑似各自有外洩提醒我要有警覺但是我跟你講我收到這個簡訊的時候跟我跟你調到資料的時候這中間的時間差已經差了很久了我們現在要討論的是什麼
transcript.whisperx[704].start 19013.596
transcript.whisperx[704].end 19028.592
transcript.whisperx[704].text 我們在2022年甚至幾乎每一年我們很多上市櫃的大型的旅行社都有發生這個他的客戶的個資外洩的事件他有可能是被駭客攻擊他有可能很多的不明原因我不知道
transcript.whisperx[705].start 19029.133
transcript.whisperx[705].end 19052.919
transcript.whisperx[705].text 那各自外線我們現在的管理是要求旅行業者第一時間要通報我知道通報了之後他要怎麼趕快去查明原因跟改善有沒有要求期限內要改進要說明原因第二個我們有沒有要求他要用最快的速度來告知他的客戶他的顧客
transcript.whisperx[706].start 19054.179
transcript.whisperx[706].end 19081.993
transcript.whisperx[706].text 有沒有個資外洩像我手上的這個簡訊已經離你們給我的資料那個旅行社通報有個資外洩的疑慮的時候他通報的時間點到我我這個消費者端收到簡訊這中間已經有一個多月的時間差而在這一個多月以來我都不知道原來我的個資是被外洩的那這個我們要怎麼解決啊
transcript.whisperx[707].start 19083.106
transcript.whisperx[707].end 19096.657
transcript.whisperx[707].text 我到目前為止你們給我的這個報告裡面都沒有談到這個喔那如果這一個多月這個時間差裡面我因為個資被外洩我有一些權益上的損失那誰來負責任
transcript.whisperx[708].start 19098.658
transcript.whisperx[708].end 19113.682
transcript.whisperx[708].text 那政府在這一端有沒有對旅行業的要求跟罰則或者是有沒有其他的一個精進跟補救措施我覺得這個事情很嚴重啦好不好所以呢我也是著動希望能夠的來檢討精進然後給我們書面報告後使得動之以上謝謝
transcript.whisperx[709].start 19118.939
transcript.whisperx[709].end 19137.667
transcript.whisperx[709].text 好林培良委員接下來陳樹葉召委啊再來徐副國務委員好謝謝主席啊本席提的是第8第14第22第25跟第40號第42案那基本上來講其他的幾個案子都我們都有跟觀光署來協調過
transcript.whisperx[710].start 19139.028
transcript.whisperx[710].end 19146.971
transcript.whisperx[710].text 只是針對第8案本席建議刪除7億6千萬經過溝通之後改為刪除2千萬其他的話針對是像說不好意思像第22案改為凍結10%改書面報告而第40案也改成書面報告換成處決也改成書面報告以上
transcript.whisperx[711].start 19167.625
transcript.whisperx[711].end 19190.576
transcript.whisperx[711].text 好 謝謝 陳樹園 趙薇好 謝謝主席那本席在這個觀光業務項下這個部分觀光國際事務這個明年度的預算數是8792萬4千元這個項目我是提凍結案10%那主要我們知道說這一個科目的預算是希望辦理國際觀光事務加強對目標市場
transcript.whisperx[712].start 19193.777
transcript.whisperx[712].end 19216.769
transcript.whisperx[712].text 吸引客源等業務我們是希望說我們在吸引客源之外也希望來台觀光的旅客能夠增加他們的消費額度這樣子才能夠確實讓我們國內的經濟能夠受益我們也看到就是說在疫情前的2019年每一個旅客來台的平均消費額是195.91
transcript.whisperx[713].start 19219.19
transcript.whisperx[713].end 19234.011
transcript.whisperx[713].text 美元那在疫情後2023年他來台的這個停留的業數是比疫情前有多多了一天的時間那我們看到他的消費平均的消費額度是反而是減少是180.67美元
transcript.whisperx[714].start 19236.094
transcript.whisperx[714].end 19262.843
transcript.whisperx[714].text 所以我們希望就是說在江部觀光署針對就是來台旅客的這個平均日消費額度這個部分我們要進行一些有具體的一個策略然後能夠提高這個在台來台旅客在台停留的業數跟消費的這個金額所以本席在這邊就是希望觀光署能夠提出這個書面報告後的動之那二十五十八案的部分就是
transcript.whisperx[715].start 19264.243
transcript.whisperx[715].end 19284.122
transcript.whisperx[715].text 觀光業務向下的這個補助交通作業基金九億六千兩百五十萬元這個預算我們知道這個預算主要也是在補助地方政府就是透過就是提案競爭型的計畫來補助地方就是做一些優化或者是提升地方旅遊環境升級的這個部分
transcript.whisperx[716].start 19285.343
transcript.whisperx[716].end 19293.773
transcript.whisperx[716].text 看到就是說我們對這樣子一個執行計畫也有一個就是績效的一個指標那是以就是說這個當年參訪遊憩區遊客的總數來做一個績效的一個指標那在108年度的時候我們看到這個
transcript.whisperx[717].start 19303.244
transcript.whisperx[717].end 19310.994
transcript.whisperx[717].text 資料統計就是直轄市及縣市幾封景特定區的遊客人次就是有2010萬人2010萬人是一個參考基數那目前我們是設定113年到116年度的預計目標
transcript.whisperx[718].start 19319.324
transcript.whisperx[718].end 19333.788
transcript.whisperx[718].text 指是在2010到2100萬就是2100萬旅客人次可是我們看到這個統計的人數在112年度直轄市及縣市及風景特定區實際遊客人次就已經有達到2297萬7千人所以我覺得說你們設定的這個績效指標是不是
transcript.whisperx[719].start 19341.79
transcript.whisperx[719].end 19366.261
transcript.whisperx[719].text 低於這個112年度我覺得這樣子是不合理的啦所以在這個部分本席是提凍結預算9000萬元那希望交通部公安署能夠研議調整這是地方旅遊環境升級計畫的績效指標然後提出一個具體的一個說明然後提出書面報告後時的動之謝謝好徐富奎委員接下來林國成委員
transcript.whisperx[720].start 19368.449
transcript.whisperx[720].end 19387.38
transcript.whisperx[720].text 謝謝主席我提出第16到21案還有第56案我想我們對於觀光署業務的推動我們都寄予厚望尤其是希望國外更多的遊客到我們台灣來觀光消費國內的國旅市場也能夠突飛猛進
transcript.whisperx[721].start 19388.38
transcript.whisperx[721].end 19410.803
transcript.whisperx[721].text 但是我們看到這個努力的過程裡面我們也有幾點的憂慮所以希望我們觀光署能夠來做一個改善那第一個就是第16案的部分針對我們這個旅宿跟民宿這個住宿的營收去年有呈現一個還是呈現一個衰退的狀況那尤其一後之後我們希望能夠這個所有的旅宿業能夠恢復營運
transcript.whisperx[722].start 19411.804
transcript.whisperx[722].end 19429.278
transcript.whisperx[722].text 所以針對這部分我想因為許多的國人對於旅宿業的一個房價跟所謂的一個服務的部分還是有一些負面的一些評價那所以針對我們交通部訂定一個新級旅館的一個品件的要點我們希望能夠做一個能夠再做一個檢視
transcript.whisperx[723].start 19430.479
transcript.whisperx[723].end 19446.824
transcript.whisperx[723].text 那實現的部分我想我們進入這個超高齡的一個社會之後我想針對我們有一些退休的一些長者的一些旅遊觀光的一個服務部分我們希望公共署能夠提出一些因應對策那畢竟這個是一個很重要的一個市場
transcript.whisperx[724].start 19447.964
transcript.whisperx[724].end 19474.494
transcript.whisperx[724].text 那另外18案的部分剛剛陳儒核心總委員講的我們台灣最近這個露營的活動興起那全台目前有1600多家的露營場但是目前我們知道交通部在111年公布一個露營區的一個管理要點那輔導業者能夠合法的營運但是截至目前只有500多家能夠申請到合法化
transcript.whisperx[725].start 19475.114
transcript.whisperx[725].end 19501.416
transcript.whisperx[725].text 還有大概1000多家沒有提出申請或是不能合法營運我想這個也對於我們一個未來的一個露營的一個油漆的一個品質非常的重要那我們也希望能夠關火水能夠加強來做輔導那另外19案部分對於這個地方旅遊環境的一個提升計畫那我們也是希望這個對於這個風景區的一個參考的一個基礎的部分那個KPI應該重新來檢視過
transcript.whisperx[726].start 19503.84
transcript.whisperx[726].end 19526.888
transcript.whisperx[726].text 二十安的部分我想這個有介於這個國外旅客的部分雖然這個我們亞太地區的入境的收入已經達到疫情前的78%但是我跟相較於日韓來比我們還是回復的速度比較緩慢那所以觀光署也應該要積極開發其他國家的一個旅客的一個來源那提升我們一個旅遊一個績效
transcript.whisperx[727].start 19528.288
transcript.whisperx[727].end 19550.058
transcript.whisperx[727].text 那21案的部分那一樣也是針對我們一個台灣觀光一個政策白筆書的一個落實那希望未來我們希望打造台灣成為一個亞洲旅遊最重要的一個目的地那其實目前我想包含我們的衛視洛杉磯管理學院提出的部分我們的這個觀光收入佔GDP的一個排名我們從2022年的第56名
transcript.whisperx[728].start 19552.459
transcript.whisperx[728].end 19565.115
transcript.whisperx[728].text 持續下滑到這個2024年第65名那我想這個在委員會的時候也有許多的委員提出一個希望我們觀光署能夠盡盡的一個作為所以以上幾個案子我提出針對觀光業務經過溝通凍結500萬提出書面報告
transcript.whisperx[729].start 19569.7
transcript.whisperx[729].end 19589.919
transcript.whisperx[729].text 那第56案的部分我想國內的旅遊業缺工的一個現象連帶影響到一個國旅的一個住宿跟服務的一個品質那所以這部分我想觀光署也應該要積極跟我們相關部會來溝通協調然後針對怎麼樣的一個旅遊的一個作為要提出一個因應措施尤其是我們整個這個
transcript.whisperx[730].start 19591.48
transcript.whisperx[730].end 19610.532
transcript.whisperx[730].text 很多的舊景點的吸引力不足怎麼樣開發新的景點我們結合我們的風景區管理處做出一些新的一個生態旅遊的一個部分我希望能夠提出一個經營作為所以這個部分我也提案要凍結這個補助交通作業基金的一個10%一樣要提出書面報告之後使得動之 謝謝
transcript.whisperx[731].start 19612.373
transcript.whisperx[731].end 19638.666
transcript.whisperx[731].text 好謝謝學委員接下來林國成委員好謝謝因為本期提了23萬47案53案55案所以除了23案要刪1000萬以外其他的部分47 53 55都是希望凍結10%那至於刪多少那這裡建議有主席來做裁定我希望最少要刪500萬以上報告
transcript.whisperx[732].start 19642.523
transcript.whisperx[732].end 19669.37
transcript.whisperx[732].text 好 李貫哲委員好 其實我們對交通部各部門都要求經費要謹慎的編列而且要類型尊潔但是我們針對氣象署跟觀光署這是去年我提案升格的兩個重要的部門
transcript.whisperx[733].start 19670.47
transcript.whisperx[733].end 19684.818
transcript.whisperx[733].text 因為第一個氣象署是關係到人民生命財產安全的保障面對極端氣候的衝擊觀光署在過去我就一直要求政府尤其是交通部必須編列更充足的經費在疫情期間
transcript.whisperx[734].start 19686.482
transcript.whisperx[734].end 19715.283
transcript.whisperx[734].text 在相關的國內外旅遊的這樣的一個資源跟經費必須要充足的這樣的一個彈藥資源的補助但是可惜還是稍嫌不足我們看到韓國的觀光公社韓國的觀光的這些計畫的推動以及日本現在二線三線城市不只是一線城市的觀光二線三線也如火如荼的展開他們的觀光課的這樣的一個復甦也明顯可見
transcript.whisperx[735].start 19716.044
transcript.whisperx[735].end 19739.976
transcript.whisperx[735].text 那我們的力道就是差那麼一點我們的經費一直是不足我一直要求交通部的部長還有署長必須再爭取更多的資源經費來補足那我們在國際競爭之間我們的經費資源是明顯的不足我希望各位在刪減預算的時候必須考慮到國家的這個
transcript.whisperx[736].start 19741.357
transcript.whisperx[736].end 19755.147
transcript.whisperx[736].text 觀光旅遊的發展以及觀光署對各地方縣市政府補助的重要性那我們來看八字21案八字21案其實就很重要了八字21案是觀光的業務
transcript.whisperx[737].start 19756.388
transcript.whisperx[737].end 19775.577
transcript.whisperx[737].text 它主要的編列是要補助地方政府環境旅遊建設計畫就要補助9億6千萬左右還有地方創生也是補助地方政府是3950萬這個補助地方政府的經費就高達10億元以上
transcript.whisperx[738].start 19778.017
transcript.whisperx[738].end 19797.356
transcript.whisperx[738].text 而且這些相關的這些住外的僱員薪資辦公室租金基本運作這個經費是8400萬然後我們這些經費要補助地方的我們要去刪嗎各縣市政府呢另外我們對於22至23
transcript.whisperx[739].start 19801.298
transcript.whisperx[739].end 19822.208
transcript.whisperx[739].text 這個部分我想他是屬於觀光國際事務觀光國際事務其實他的經費編列也都很詳實因為他的觀光國際事務這項經費主要是住外人員住外人力的雇員他的薪資及辦公室的租金及他的運作
transcript.whisperx[740].start 19824.479
transcript.whisperx[740].end 19852.722
transcript.whisperx[740].text 這些經費其實我們看他們在113年度的預算是全數執行年度增加主要當然是因為缺額你要補食匯率的成長國外的僱員因為薪資通蓬佩爾外交部調升駐外僱員薪資的標準等等當然也新增加了孟馬雅加達辦事處等經費這個大家都要去確實的考量
transcript.whisperx[741].start 19853.447
transcript.whisperx[741].end 19877.463
transcript.whisperx[741].text 另外第34到36案是觀光國際事務是大陸地區的旅會那這個都有相似的人員要去多少人或者是這個機票是多少錢都有相似的編列大家也都可以確實的來審視了另外有關於第
transcript.whisperx[742].start 19880.285
transcript.whisperx[742].end 19898.363
transcript.whisperx[742].text 42到46這個部分也有相關的這個凍結這個等一下觀光署也要來做明確的說明我以上先簡單的這樣報告以上好那在陳卓人委員發言之前我先把我講一講不然你結論一講我就沒辦法講
transcript.whisperx[743].start 19900.974
transcript.whisperx[743].end 19918.439
transcript.whisperx[743].text 還有提四個案子但是第45跟51就參照我們的說明那在口頭補充說明的部分針對於第24案24案的部分這邊提出3.1千萬 凍結10%然後做專案報告最主要的原因是因為其實每一年都在
transcript.whisperx[744].start 19919.139
transcript.whisperx[744].end 19938.305
transcript.whisperx[744].text 疫後的這個國際旅客就是外來旅客的一個復甦的一個情況但是看起來在今年並不如預期所以我們覺得感覺沒有非常非常具體的方法那在這種情況之下那我們也看到就在預算的部分是增加了差不多2000萬
transcript.whisperx[745].start 19940.106
transcript.whisperx[745].end 19955.462
transcript.whisperx[745].text 比113年那我們就會說但是我是覺得還是要拿出具體的數字出來再增加所以我們希望只增加1000萬然後所以希望幫你調整3減1000萬這是我的用意那第36案最主要是
transcript.whisperx[746].start 19957.065
transcript.whisperx[746].end 19983.894
transcript.whisperx[746].text 你們的大陸地區的旅費的部分那唯一的不解的原因就是你們這邊特別說是針對於住戶我們因為觀光署有在這個大陸地區辦事處人員相關的一些費用那主要是在我們北京辦事處兩人上海三人福州一人這些人要來往相關的一些
transcript.whisperx[747].start 19985.856
transcript.whisperx[747].end 19995.073
transcript.whisperx[747].text 經費是有必要的那如果說是這些人來來去去經費有必要勢必要顯現在113年剛結束的年度結果
transcript.whisperx[748].start 19996.711
transcript.whisperx[748].end 20013.978
transcript.whisperx[748].text 讓我沒辦法理解的是13年給你72萬其實經費比較少你們現在編了108萬嘛你們說經費不夠希望能夠給他們來回的更多的一些彈性我可以理解喔如果你們這樣說法落實我是可以支持的可是今年給你72萬你針對這6個人只用了到11月底9.7%
transcript.whisperx[749].start 20019.437
transcript.whisperx[749].end 20042.79
transcript.whisperx[749].text 我意思說這個預算到底是不是如你所說的是這些六位的很辛苦的我們駐路人員的來來去去如果是他絕對不會到今年到11月你只用10%而已只用七八萬所以就表示這些人其實主要錢根本不是這些錢啊那你現在講的跟做的不一樣嘛
transcript.whisperx[750].start 20043.77
transcript.whisperx[750].end 20059.936
transcript.whisperx[750].text 我不知道你聽得懂我意思嗎那如果說不是他們用的是你們想到兩邊要去溝通或怎麼樣那看起來現在溝通的管道比較少所以我們這邊有提出來是只是調整幫你減20萬凍結10%那我針對這兩岸說明陳學生委員公安署這一次審明年度預算是非常緊張的我想
transcript.whisperx[751].start 20073.627
transcript.whisperx[751].end 20102.547
transcript.whisperx[751].text 各組織都充分的跟我們委員去討論但還沒有討論得非常清楚其實我們三檢預算是個手段不是目的我們是希望我們中華民國的觀光能夠發展得更好這很重要我聽了前幾天這兩天賴清德總統有提到說你們應該要去做一些焦慮的談判等等你們都可以嘗試是不是
transcript.whisperx[752].start 20103.548
transcript.whisperx[752].end 20132.219
transcript.whisperx[752].text 雖然大陸現在以前馬英九總統時代是一國兩制嘛其實不是一國兩制啊是...是什麼?他有名稱嗎?兩岸共識啦是兩岸共識嗎?九二共識啦對啦,長大不行啊九二共識九二共識是一個很模糊的空間
transcript.whisperx[753].start 20133.317
transcript.whisperx[753].end 20148.305
transcript.whisperx[753].text 所以在這個模糊的空間裡面兩邊有交流那現在大陸在講一個中國台灣又講說台灣是台灣 中國是中國那這裡面就觸礁了嘛所以談不下去了那老共講說
transcript.whisperx[754].start 20151.124
transcript.whisperx[754].end 20168.094
transcript.whisperx[754].text 九二共識我們是一家人那現在是兩家人兩家人我幹嘛要跟你談所以你們要尋這個方向去看看怎麼解套還有出團的部分我記得王國才當部長的時候把團就放了團禁解開了
transcript.whisperx[755].start 20170.017
transcript.whisperx[755].end 20182.127
transcript.whisperx[755].text 後來當然很冒險又收回來了我們就放嘛有什麼關係大陸他是大國他覺得沒有面子是不是不要為了面子在那邊扯
transcript.whisperx[756].start 20183.652
transcript.whisperx[756].end 20201.938
transcript.whisperx[756].text 那這個預算裡面呢當然署長還有署長底下的這些署長也跟我拜託啦跟我們國民黨黨內的同仁去跟他們說明我也幫你們也出了力了我們是對什麼對你宣傳的部分有意見文宣的部分
transcript.whisperx[757].start 20203.775
transcript.whisperx[757].end 20214.383
transcript.whisperx[757].text 還有就是你去越南啦、泰國啦、香港啦你招人來我們花錢去請人家到我們這裡來觀光那你不如把這個錢放在國內
transcript.whisperx[758].start 20216.186
transcript.whisperx[758].end 20234.838
transcript.whisperx[758].text 促銷去金馬鵬、花蓮、台東啊尤其是個災區嘛對不對去高雄啊或是高雄到台北來啊你在這上面促銷你得把錢去買這個觀光嘛那主要的問題在這裡面我們也希望我們觀光能夠做得很好啊當然這裡面11億多裡面齁
transcript.whisperx[759].start 20237.915
transcript.whisperx[759].end 20245.222
transcript.whisperx[759].text 比如說有我們駐外單位比如說大陸啦有北京、上海、福州吧我們還有三個辦事處在外面
transcript.whisperx[760].start 20248.488
transcript.whisperx[760].end 20272.789
transcript.whisperx[760].text 這些人的薪水,還有在日本、越南這些雇員的薪水也都在這個裡面你如果把這個錢刪的話,將來這些雇員勢必就裁員了嘛北京、上海這些人要裁回來了而且還有,裡面有一些費用在裡面另外還有大概有9億多,你看11億多裡面
transcript.whisperx[761].start 20273.83
transcript.whisperx[761].end 20293.567
transcript.whisperx[761].text 有9億多是補助各縣市來發展觀光的所以你們這個要講清楚啊因為你11億其中包含了9億多是各縣市發展觀光的那有一些委員不了解啊你都混在裡面嘛你混在裡面你應該把它區隔把它分開讓他們看得更清楚
transcript.whisperx[762].start 20294.406
transcript.whisperx[762].end 20321.462
transcript.whisperx[762].text 所以我這個事情跟沛翔委員報告以後沛翔委員他就了解了解以後今天你看他就說砍掉兩千萬不然三點七億多對不對他了解以後也所以你們跟委員之間的互動剛才國城委員在這邊講了很久你們要尊重各個委員我們委員大家都一樣大的沒有年齡大小他們說我來這邊壓力很大其實每個委員都有他的職權
transcript.whisperx[763].start 20322.763
transcript.whisperx[763].end 20344.826
transcript.whisperx[763].text 我哪能去干涉他們呢對不對只是說我在這邊比較資深一點像困擾委員在這邊比較資深一點我們去跟他講道理講的可能比較會通一點建築體設備建築體設備你公安署不能把建築體設備放在各縣市的風景管理處裡面去喔署長
transcript.whisperx[764].start 20346.345
transcript.whisperx[764].end 20369.599
transcript.whisperx[764].text 你把這個錢你各縣市風景管理處你去蓋建築啊蓋設備啊從原來他們就有機會去弄的話那你這個風景管理處在縣市裡面有什麼作用你只是養了一批人員在那邊說是風景管理處然後在忙著蓋房子你對各縣市政府對各縣市的觀光景點毫無幫助嘛
transcript.whisperx[765].start 20370.479
transcript.whisperx[765].end 20388.527
transcript.whisperx[765].text 所以署長我提醒你當然我不會去指名哪個縣市政府啦你特別注意一下好不好你比如說他只有3億你一個建築設備擺了1億多在裡面他的人事費去了1億多那沒錢了嘛你這個署長在那邊幹什麼是不是
transcript.whisperx[766].start 20389.56
transcript.whisperx[766].end 20409.481
transcript.whisperx[766].text 所以我想對這個預算我也呼籲我們國民黨黨內的同仁我們盡量就在心仁厚啦我們想放下小走嘛該算的也要算 剛才沛翔委員說三兩千萬等等我覺得這個都很講道理的啦好不好好 以上好 觀光署說明
transcript.whisperx[767].start 20411.637
transcript.whisperx[767].end 20422.205
transcript.whisperx[767].text 非常謝謝各位委員的指教那也特別利用這個機會跟大家報告一下今年的預算了114年度預算是公安署成立以來的第一個預算
transcript.whisperx[768].start 20424.574
transcript.whisperx[768].end 20449.599
transcript.whisperx[768].text 我們113年度執行的預算是112年度編列的預算112年度編列的預算的時候那時候是國防局所以今年是一個新的開始所以請各位能夠來幫忙為什麼我們很緊張其實是我們真的很想做一點事情我們的預算是各國裡面最少
transcript.whisperx[769].start 20451.365
transcript.whisperx[769].end 20456.939
transcript.whisperx[769].text 幾乎算是這些觀光強國裡面我們很希望各位能夠支持我們
transcript.whisperx[770].start 20458.069
transcript.whisperx[770].end 20485.204
transcript.whisperx[770].text 那麼我簡單說一句話就是說有幾個大的項目譬如說在這個科目裡面是11億確實在9億多是補助地方政府我們也希望地方政府的亮點能夠更好所以我們也希望能夠透過預算來支持地方政府那地方政府也有做KPI那我想說剛剛魯朝偉特別提到我利用簡短的時間有幾項我就併在一起簡單說明一下
transcript.whisperx[771].start 20487.748
transcript.whisperx[771].end 20509.226
transcript.whisperx[771].text 我們的穿裝費 譬如說我們福州 我們大陸是這樣子大陸是兩個辦事處 就是北京跟上海有一個管理站在福州福州的同仁他借零退休所以他12月就要回台灣那我們就要派一個人到福州去那這個穿裝費我們12月的話就預算執行的話就將近72%
transcript.whisperx[772].start 20511.267
transcript.whisperx[772].end 20538.493
transcript.whisperx[772].text 所以剛剛召委的那個數字跟我們12月就有出入所以有很多的費用他是放在第二季我想說第四季所以我想說很簡單的跟大家報告一下那麼黃委員特別關心有幾個就是旅行社跟航空業的部分這個我們確實也跟民航局跟航空公司有不斷的在溝通還有非法旅宿大家很關心我們也希望
transcript.whisperx[773].start 20539.594
transcript.whisperx[773].end 20555.014
transcript.whisperx[773].text 能夠講優太烈我們對合法的部分能夠來全力來支持何委員關心的有三件事我也利用這個機會跟大家報告一下我們原來是好玩卡那我們覺得海玩卡應該是改成區域卡不要是城市卡
transcript.whisperx[774].start 20555.615
transcript.whisperx[774].end 20577.186
transcript.whisperx[774].text 所以我們就在轉型的過程中我們也發現在地方上他有些競合的關係所以高雄市他就覺得做得很好他就希望能夠把高雄市的好玩卡能夠擴充區域卡能夠持續所以他仍然叫做南部的好玩卡那中部的好玩卡的話就是台中他不願意做裝那就由南投來做裝
transcript.whisperx[775].start 20578.499
transcript.whisperx[775].end 20602.144
transcript.whisperx[775].text 那我們希望他的英文名字叫做Taiwan Pass所以我們這次Taiwan Pass就把它轉型把英文的名字變成一個重要的聯票那我們在高鐵跟台鐵有分開來那台鐵的票已經賣得很好也是有賣了將近一萬八千張那麼高鐵票的是將近八千張那也就是這個套票的部分呢有希望能夠勾選那麼讓大家能夠促進國旅
transcript.whisperx[776].start 20604.285
transcript.whisperx[776].end 20625.464
transcript.whisperx[776].text 委員很關心就是透過AI智慧化之後我們也希望把台灣PASS跟TPASS做結合所以我們也希望跟公路局2.0版的TPASS能夠它涉及到一些清分何委員跟我們徐委員都有特別提到露營
transcript.whisperx[777].start 20626.405
transcript.whisperx[777].end 20641.1
transcript.whisperx[777].text 那麼露營這個部分我們也希望能夠改善老問題那麼杜絕新問題那這個城鎮市也特別召開一次會議那主要是在水源保護區還有農林墓地的部分我們也解套了那保險的部分我們會持續來做
transcript.whisperx[778].start 20642.501
transcript.whisperx[778].end 20665.468
transcript.whisperx[778].text 還有林委員是建議的部分我們真的是補助地方政府所以我們還是希望林委員您會不要刪除這個刪的預算對我們來講就是很多在業務推動上確實有點為難那陳昭偉希望我們有更好的KPI我們確實也重新檢討尤其是地方的那個景區景點他有做微調譬如說範圍變大
transcript.whisperx[779].start 20667.068
transcript.whisperx[779].end 20683.274
transcript.whisperx[779].text 或是他覺得有新的景點我們也同意他們做微調所以這個部分我們也會滾動式檢討那徐委員也特別提醒到新籍旅館的部分我們覺得新籍旅館浩克的民宿我還是繼續推所以我們這件事情我們會加大力道來做處理
transcript.whisperx[780].start 20684.674
transcript.whisperx[780].end 20700.436
transcript.whisperx[780].text 那麼地方的景區跟這個國際旅客的開源也非常謝謝大家的指教那我們就按照各位委員的意見我們逐步來擴大尤其我們舊景點的不足確實需要能夠重新整頓
transcript.whisperx[781].start 20701.397
transcript.whisperx[781].end 20720.746
transcript.whisperx[781].text 那我們也配合像今年的話在台南我們就配合台南做一些改變也包括了它的運河那我們今年已經算今年了今年在桃園所以我們就希望桃園的這些景點海岸線能夠做一些改變所以我們也有在精神型的計畫裡面來支持他們
transcript.whisperx[782].start 20721.886
transcript.whisperx[782].end 20747.722
transcript.whisperx[782].text 那再次非常謝謝昆哲委員的支持確實有一次我跟算去年啦我跟這個泰國的這個局長來談光總局局長在談的時候他們的預算都是幾乎換我們的七倍了所以我們在預算上來講是非常尊潔然後也希望各位委員能夠併案然後是不是可以讓我們來補充說明用凍結的方式也拜託召委謝謝
transcript.whisperx[783].start 20750.768
transcript.whisperx[783].end 20769.627
transcript.whisperx[783].text 好那這樣這個這個案子因為案量大所以討論蠻久的齁那剛剛那個我想刪除的委員剛剛有凝聚一下意見啦齁說呃不要刪那麼多刪除大概兩千萬左右了齁那這可以接受嗎那個可以差不多嗎齁
transcript.whisperx[784].start 20772.023
transcript.whisperx[784].end 20787.57
transcript.whisperx[784].text 那這樣好不好因為觀光署第一年的預算啦那我想各縣市的一個補助我們都有啦那這個部分但是我要拜託啦我們的委員其實一路支持你是你們觀光署的一個工作的夥伴
transcript.whisperx[785].start 20788.17
transcript.whisperx[785].end 20805.344
transcript.whisperx[785].text 但你在地方很多觀光活動好像跟委員都沒有連結也不必通知你知道嗎我們一回到地方哇都是議員做的委員跟委員沒有關係我是覺得第一個跟地方的觀光的補助你要讓在地委員真的要知道大家共榮你做得好
transcript.whisperx[786].start 20806.164
transcript.whisperx[786].end 20824.332
transcript.whisperx[786].text 也是我們的一個榮耀好像都跟我們沒有關係你補助我覺得應該跟各區的在地的委員一定要通知那委員有一些比較特色的活動觀光的這個部分他協助你們推動的時候我也希望你們要優先的幫忙好不好那我們就3.1千萬
transcript.whisperx[787].start 20827.922
transcript.whisperx[787].end 20849.424
transcript.whisperx[787].text 基隆的活動要稍微注意一下基隆活動我們來調整然後我們所有的處長都在還有組長都在就三點整體三點一千萬然後科目自行調整周偉周偉 沛翔委員有意見沛翔委員你說一下
transcript.whisperx[788].start 20851.107
transcript.whisperx[788].end 20875.518
transcript.whisperx[788].text 其實剛剛學霸跟我溝通他從昨天開始跟我溝通這個是這個案子不然今天我會堅持716我會堅持716因為老實說當我們國內的旅遊大家都在這邊叫苦連天的時候然後我們還花錢去補助國外東南亞的人進來這邊那我覺得他們東南亞我也不想去講那麼多細節說他們到底花多少錢歐美花多少錢日本花多少錢我們都不要去談那些
transcript.whisperx[789].start 20876.198
transcript.whisperx[789].end 20905.778
transcript.whisperx[789].text 光這一點後來學霸一直跟我講這個11億2000萬裡面有他說9億6是地方政府地方政府不是地方政府的那中間他們真的能動的只有8000好那我說我先算到2000到1000我是覺得真的不好意思我有點蘇長2000萬也沒問題因為因為我們幾個也聊了很久了因為趙偉他是主席嘛我們談面前聊了很久了
transcript.whisperx[790].start 20906.978
transcript.whisperx[790].end 20928.689
transcript.whisperx[790].text 因為沛翔委員、建豪委員我們幾個還有弄花委員因為這裡本來要刪了很多嘛是說兩千萬 因為 召委對不起啦剛才你宣布了 但是我們因為沛翔委員有意見你沒有聽到可不可以處理一下
transcript.whisperx[791].start 20934.371
transcript.whisperx[791].end 20946.986
transcript.whisperx[791].text 給我一分鐘其實如果你本來看我刪除的預算其實不止716加起來可能到9億左右是整個科目的9億左右因為我覺得很多東西我無法了解就是這樣子我無法了解為什麼會去這樣去編
transcript.whisperx[792].start 20947.927
transcript.whisperx[792].end 20953.811
transcript.whisperx[792].text 那其他你們後來你們辦公室有跟我們辦公室解釋過很多所以很多是凍結10%很多凍結5%很多變組決議都OK就那716的時候後來學霸跟我解釋很久好決定那從8000萬裡面真的你們真的業務會用8000萬裡面減2000
transcript.whisperx[793].start 20967.724
transcript.whisperx[793].end 20982.035
transcript.whisperx[793].text 我們現在這樣好不好 精準刪除啦大家都挺國內的補助嘛那我們就刪除的項目是這個22案到32案所謂的觀光國際事務費用的8792萬三減這個項目向下三減兩千萬報告 報告趙委員這樣我們沒辦法執行沒辦法執行
transcript.whisperx[794].start 20992.324
transcript.whisperx[794].end 21005.623
transcript.whisperx[794].text 不是因為你正好比去年增加兩千萬就觀光業務的部分就讓他們自行調整啦國際觀光都已經很不夠了你就自行調整啦
transcript.whisperx[795].start 21008.052
transcript.whisperx[795].end 21020.818
transcript.whisperx[795].text 好 希望能夠科目自行調整是不是好 那我來就是按照我們的委員的一個建議第8到61案第二幕觀光業務相關的費用11億2209萬餘元
transcript.whisperx[796].start 21026.781
transcript.whisperx[796].end 21029.545
transcript.whisperx[796].text 我們處理方式如下 3減2000萬 凍結10% 提供書面說明 使得凍結科目自行調整可以嗎 好
transcript.whisperx[797].start 21041.567
transcript.whisperx[797].end 21070.584
transcript.whisperx[797].text 好那另外是針對於這第二幕嘛第二幕部分我們測案第二期案測案改組決議有下列個案第40案42案49案52案54案57案60案等案改組決議好各位委員朋友不同意見好那我們繼續來處理62到90案第三幕
transcript.whisperx[798].start 21072.103
transcript.whisperx[798].end 21089.843
transcript.whisperx[798].text 國家風景區開發與管理業務總金額336,840萬有沒有提案委員要補充說明的好 陳志偉 趙偉 徐副國務委員好 謝謝主席我的比較簡單第76案我就改主決議 謝謝
transcript.whisperx[799].start 21094.524
transcript.whisperx[799].end 21112.255
transcript.whisperx[799].text 好 謝謝謝謝主席我提出第六四案那我想剛剛大家很熱烈討論觀光署的業務那我個人因為我們屏東縣這邊有大鵬灣管理處跟茂林管理處那我自己的感覺是說過去我們當然國家風景區的責任是推廣觀光
transcript.whisperx[800].start 21113.155
transcript.whisperx[800].end 21132.115
transcript.whisperx[800].text 但是事實上在他們的這個轄區裡面我們現在面臨的也有很多的生態保育跟一個觀光推展要變重的一些項目那我覺得我們觀光署的同仁應該也要體認這樣的一個時代不一樣的變遷尤其是像小琉球也好或是墾丁也好
transcript.whisperx[801].start 21132.675
transcript.whisperx[801].end 21156.704
transcript.whisperx[801].text 現在水的時代變現小琉球非常的夯但是我們看到過去的垃圾跟污水的處理上面我們也希望我們盆管處這邊應該要積極來跟所謂相關部會來協調應該要超前部署去處理這些的問題那茂林的部分我們也是希望未來針對我們原民的文化還有產業輔導部分能夠給予更多的一些資源的挹注那所以我想我們提出凍結國家風雲去開發
transcript.whisperx[802].start 21158.985
transcript.whisperx[802].end 21171.141
transcript.whisperx[802].text 以及管理費的預算1%也是希望我們的所有的觀光署的同仁我們大家能夠更精進作為然後尤其是整個對觀光跟生態的推廣部分給予更多的一個力道謝謝
transcript.whisperx[803].start 21173.7
transcript.whisperx[803].end 21196.033
transcript.whisperx[803].text 好那我個人也有提案啦我們提案的話第74案最主要我們桃園這邊北橫國家風景區其實已經談了非常非常久了你們的回應大概一直沒有進度吧另外還有新北市他有一個區塊他也想成立國家風景區但我覺得這個案子還是病案要討論因為跨
transcript.whisperx[804].start 21198.594
transcript.whisperx[804].end 21225.659
transcript.whisperx[804].text 縣市兩個直轄市你們總是要開個會看看大家的意願然後有沒有共同的一個方向然後你們來協助處理我們希望有一些傳遞我們委員關心的聲音好不好好陳雪森委員現在時間是2點24分剛才我們底下也做過協商啦大概就不發言了配項委員刪減的跟林國成委員刪減的部分我們就不刪了好不好好
transcript.whisperx[805].start 21225.953
transcript.whisperx[805].end 21238.682
transcript.whisperx[805].text 因為前面已經散了嘛,前面剛才已經廣泛討論,而且署長也做充分的說明,好不好,為了節省時間,好不好,稍微裡面做,欸,民進黨委員沒意見,明天請你做財事,好不好,OK
transcript.whisperx[806].start 21242.737
transcript.whisperx[806].end 21267.226
transcript.whisperx[806].text 好 那沛昌委員這邊沒有 OK了那我們這邊就也不用說了就是你書面說明好了好不好我們這邊第三幕因為國家風景區我們希望我們都一直說要弄得更好吸引不管是國內國外的旅客希望你更好所以我們在這裡面就沒有沒有沒有刪除了用凍結的方式
transcript.whisperx[807].start 21268.146
transcript.whisperx[807].end 21295.988
transcript.whisperx[807].text 好第六涉到90案第三目國家風景區開發與管理我們處理方式是凍結10%請對委員的意見來書面說明好接下來一樣第三目來宣告一下以下個案改組決議
transcript.whisperx[808].start 21297.799
transcript.whisperx[808].end 21318.914
transcript.whisperx[808].text 第六三案、六十六案、六七案、六八、六九、七十、七一、七二、八一、八二、八三、八四、八五、八六、八八、第九十案等案改組決議還有七十六案七十六案沒念到也是改組決議
transcript.whisperx[809].start 21322.691
transcript.whisperx[809].end 21330.124
transcript.whisperx[809].text 好沒有問題我們就接下來處理到主決議了嗎好接下來處理決議案好91到106案請各位委員翻開91案
transcript.whisperx[810].start 21352.708
transcript.whisperx[810].end 21370.425
transcript.whisperx[810].text 好91案觀光署91案我們遵照辦理好91案照案通過92案遵照辦理92案照案通過93案遵照辦理93案照案通過94案文字修正那提書面報告
transcript.whisperx[811].start 21371.807
transcript.whisperx[811].end 21387.428
transcript.whisperx[811].text 委員已經同意了謝謝崑澤委員這邊委員有同意那我們就是修正文字通過第95案專照辦理95案交案通過96案感謝若華委員我們改成書面報告謝謝
transcript.whisperx[812].start 21389.43
transcript.whisperx[812].end 21417.96
transcript.whisperx[812].text 好 修正文字後通過第九七案 遵照辦理九七案 照案通過九十八案 遵照辦理九十八案 照案通過九九案 遵照辦理九九 九九案 照案通過一百案 遵照辦理一百案 照案通過一百零一案 遵照辦理一百零一 照案通過一百零二也謝謝游委員 我們他也同意改成書面報告專案改成書面是
transcript.whisperx[813].start 21424.488
transcript.whisperx[813].end 21431.514
transcript.whisperx[813].text 好102案修正文字或通過103案遵照辦理103案召喚通過104遵照辦理104案召喚通過105案謝謝召委那我們就改書面好
transcript.whisperx[814].start 21444.335
transcript.whisperx[814].end 21459.381
transcript.whisperx[814].text 文字修正後通過106遵照辦理106案照案通過好我們觀光署及所屬單位預算處理完畢 接下來處理觀光發展基金
transcript.whisperx[815].start 21470.484
transcript.whisperx[815].end 21471.145
transcript.whisperx[815].text 休息三分鐘喔
transcript.whisperx[816].start 21500.475
transcript.whisperx[816].end 21500.975
transcript.whisperx[816].text OK,好
transcript.whisperx[817].start 21530.776
transcript.whisperx[817].end 21557.995
transcript.whisperx[817].text 響鐘
transcript.whisperx[818].start 21560.874
transcript.whisperx[818].end 21560.914
transcript.whisperx[818].text 蜂蜜
transcript.whisperx[819].start 21583.22
transcript.whisperx[819].end 21599.172
transcript.whisperx[819].text 對啊,我這邊超多都是他們的那個...沒問題,那個...速發部有發言就好因為剛才跟雪爸討論一下,他說...他說沒有差不多一百塊的獎勵
transcript.whisperx[820].start 21606.657
transcript.whisperx[820].end 21607.518
transcript.whisperx[820].text 三年有超過一百萬
transcript.whisperx[821].start 21625.179
transcript.whisperx[821].end 21627.321
transcript.whisperx[821].text 我們下次就再提高經濟了下次以後啦
transcript.whisperx[822].start 21656.817
transcript.whisperx[822].end 21657.598
transcript.whisperx[822].text 今天沒有看到人
transcript.whisperx[823].start 21691.014
transcript.whisperx[823].end 21700.016
transcript.whisperx[823].text 好 大家請就座剛剛那個2000萬自行調整 有宣告了
transcript.whisperx[824].start 21701.605
transcript.whisperx[824].end 21723.663
transcript.whisperx[824].text 接下來我們來處理交通部觀光發展基金114年度附屬單位預算請各位參照建議併案及預算表我們開始處理第一案第一案林國成委員已經改組決議
transcript.whisperx[825].start 21729.795
transcript.whisperx[825].end 21753.362
transcript.whisperx[825].text 沒問題好接下來處理第二至五案何委員批發試案有跟何委員協調嗎都已經跟何委員報告因為都是凍結案凍結案那就請你提供詳細的說明第二到五案業務成本與費用
transcript.whisperx[826].start 21757.355
transcript.whisperx[826].end 21786.277
transcript.whisperx[826].text 我們就是凍結10%提供書面報告時的凍資沒問題吧是不過剛剛第一案還在宣告一下第一案勞務收入改組決議好沒問題接下來處理6到15案勞務成本勞務成本的部分有沒有委員要補充說明徐副委員嗎
transcript.whisperx[827].start 21788.106
transcript.whisperx[827].end 21815.183
transcript.whisperx[827].text 李昆哲委員沒有好大家不要說我就直接處理好我們來看一看整個徐副國務委員要補充說明嗎改動節1000萬改動節1000萬了好好好李昆哲好謝謝有關我們貿易物成本
transcript.whisperx[828].start 21817.463
transcript.whisperx[828].end 21839.74
transcript.whisperx[828].text 這個勞務成本應該他主要是辦理各風景區的清潔維護保全場域的巡查人力遊覽解說連續假日交通維運還有設備折舊補助地方政府環境旅遊建設升級還是不是包含這些
transcript.whisperx[829].start 21842.042
transcript.whisperx[829].end 21848.789
transcript.whisperx[829].text 所以我們景區的部分還包括了地方的有4.97億我看你們112年度的執行數是31.33億
transcript.whisperx[830].start 21857.759
transcript.whisperx[830].end 21887.2
transcript.whisperx[830].text 那114年度有主要有增加是因為你們要補助地方政府嘛環境旅遊建設升級計畫要增加3.24億嘛這個補助地方政府很重要以上好 謝謝 謝謝委員那剛剛那個國城委員那邊就好像免稅嘛我就趕動捷我代表國城委員趕動捷500萬好不好好我代表他我代表他好不好OK可以啦 莊委你人才是吧
transcript.whisperx[831].start 21889.246
transcript.whisperx[831].end 21911.52
transcript.whisperx[831].text 我們來處理一下6到15萬勞務成本的部分我們日採凍結10%提供書面報告時的通知有沒有問題哪裡 前面有通案嗎就勞務成本啊
transcript.whisperx[832].start 21913.304
transcript.whisperx[832].end 21921.748
transcript.whisperx[832].text 5萬是最大案就是2到5萬其實是整個勞務成本跟業務費用加總好那這邊再凍結5%了謝謝凍結5%填充書面報告使得動之好接下來處理16到48案有沒有提案委員要補充說明徐副委員
transcript.whisperx[833].start 21943.415
transcript.whisperx[833].end 21954.122
transcript.whisperx[833].text 謝謝主席我提16到第18案16案就新集旅館部分就請觀光組這邊再研議辦理17案改組決議18案的部分我想針對國內職業的導遊跟領隊的人數有下降的一個趨勢我們也擔心後續旅遊產業人才的供需狀況
transcript.whisperx[834].start 21968.05
transcript.whisperx[834].end 21988.948
transcript.whisperx[834].text 避免一個產業缺工的情形那所以我們經過溝通提案凍結業務費用一千萬元那請觀光署能夠針對這樣一個旅行產業一個人才培育一個幽營提升的部分要提出一個相關的書面報告 使得動之 謝謝好 謝謝許委員接下來有提案委員要補充說明嗎
transcript.whisperx[835].start 21994.161
transcript.whisperx[835].end 22018.22
transcript.whisperx[835].text 好那我個人提案有幾個案子第22案主要是去這個大陸地區的旅費那你們這邊也放了嘛齁那加上之前的是火力這麼強啊兩邊加起來剛剛其實也沒什麼沒什麼山欸有沒有需要這麼多啦因為現在沒有什麼聯絡啊有聯絡
transcript.whisperx[836].start 22021.707
transcript.whisperx[836].end 22030.058
transcript.whisperx[836].text 我知道 我知道剛剛已經添了一條了他們有單位在大陸 不夠 不夠不夠啊我知道我知道 這個不要去碰他啦這個我主張 我建議不要去碰他
transcript.whisperx[837].start 22030.99
transcript.whisperx[837].end 22054.639
transcript.whisperx[837].text 好那就我提這個案子最主要是很需要可是奇怪啊執行率112年2.5%執行率所以你不要辜負了委員的期待因為你錢根本沒用非常需要但是113年到目前為止執行4.1%就簡單來講就是我錢給你了委員在那邊講錢給你了
transcript.whisperx[838].start 22056.54
transcript.whisperx[838].end 22075.618
transcript.whisperx[838].text 兩百萬幾百萬就用不到十萬然後明年繼續編這個部分我覺得你們要讓支持你們的委員不要失望你們因為剛剛審這個預算跟預算你們其實執行率都沒有很高啦你們我覺得要做一個說明
transcript.whisperx[839].start 22077.318
transcript.whisperx[839].end 22098.576
transcript.whisperx[839].text 那我後面還有兩岸那請參閱我的書面說明好那還有沒有補充意見那我們就來我們觀光署要不要補充說明針對有要刪除的部分優先要不要來講一下這個要拜託委員這個部分我們大概因為都是核實在執行
transcript.whisperx[840].start 22099.116
transcript.whisperx[840].end 22110.986
transcript.whisperx[840].text 那我們現在也是希望能夠促進一些交流所以這些費用還是麻煩能夠如期來編列那我們是不是允許我們用凍結的方式來提書面書面報告黃金華委員
transcript.whisperx[841].start 22119.557
transcript.whisperx[841].end 22140.008
transcript.whisperx[841].text 好,谢谢赵伟我提38案那其实38案跟之前那个交通部你们对不起,观光署本部预算是类似一样的事情就想推展为了要促进这个来台旅客人次那不管是在你们的本署预算里面在这个基金里面我想问一下因为我也是提冻结而已我也没有三一预算但是要我要知道说
transcript.whisperx[842].start 22141.451
transcript.whisperx[842].end 22167.876
transcript.whisperx[842].text 本來是預計一千兩百萬人那你們現在下修那我想問一下那2025年開始的那你們這些錢給你們那你們的目標數是多少因為這樣才辦法我們明年省一算所以你剛剛講一年是現在第一年嘛那好過去都不算了現在第一年送預算進來那你今年做完之後我們這些不管是本屬預算還是這個基金預算出去之後那你預計你這個推展費也花這麼多錢去推展去各地去等於去擺攤去去攬客嘛
transcript.whisperx[843].start 22168.556
transcript.whisperx[843].end 22188.125
transcript.whisperx[843].text 跟補助也好或怎麼樣也好那你希望你2025年的目標是多少我們的規劃是1000萬那跟委員報告下他有分兩個部分一個是自由行一個是團客旅遊那因為現在的整個疫情之後的自由行非常的興盛所以我們就是2025年這一年
transcript.whisperx[844].start 22189.285
transcript.whisperx[844].end 22208.005
transcript.whisperx[844].text 我們優先在歐洲的阿姆斯特丹跟美國的西雅圖我們優先設台灣觀光旅客的服務分處也就是我們所謂的TTIC就是Taiwan Tourism Information Center
transcript.whisperx[845].start 22208.746
transcript.whisperx[845].end 22221.002
transcript.whisperx[845].text 那麼我們也希望能夠把握這個澳洲所以我們澳洲雪梨在明年的上半年也會來設這個台灣觀光的遊客中心還有我們會預估在9月份來設這個孟買的辦事處
transcript.whisperx[846].start 22224.787
transcript.whisperx[846].end 22244.778
transcript.whisperx[846].text 就是印度的辦事處那這個部分呢就是我們要達標啊還是需要能夠擴大這個所謂的飲客圈所以我們的目標是除了既定的顧本之外我們希望能夠擴大北美市場跟所謂的這個所謂的4到8小時的這個飛行的航行的這個範圍
transcript.whisperx[847].start 22246.299
transcript.whisperx[847].end 22270.97
transcript.whisperx[847].text 所以相關的這個措施還是會透過這個旅展透過所謂的這個相關的優惠措施還是要有譬如說我們鼓勵包機能夠到我們一些其他的行下來還有我們會有海外的這些所謂的宣傳推廣會還有所謂的這個社群網站的這個行銷以上簡單的跟委員報告
transcript.whisperx[848].start 22274.144
transcript.whisperx[848].end 22300.105
transcript.whisperx[848].text 好 那相關的說明這個包括委員跟我們署裡面都有說明但我其實對於你們那個新籍旅館的評鑑歷年來你們定的目標都是90到100間但是現在評鑑 像今年大概只有39間就是也沒有達標 那要不要用這麼多錢我是覺得很奇怪第二個 你這麼多的研究計畫 第32案
transcript.whisperx[849].start 22302.006
transcript.whisperx[849].end 22329.186
transcript.whisperx[849].text 你這麼多的一個研究計畫其實我們最知道你的計畫然後有沒有落實在觀光旅遊改善的一個情況我們覺得關聯性我個人覺得關聯性很低啦不斷去分析不斷的研究觀光政策弄完之後就每年一千多萬我是覺得是有固定的單位在等著接這個案子然後研究一下統計一下就丟出來我的感覺是這樣所以我想說這個的部分啦還是針對於我看
transcript.whisperx[850].start 22333.539
transcript.whisperx[850].end 22356.622
transcript.whisperx[850].text 針對這個委託計劃好這個部分我們來做一個刪減好了好不好第32案跟委員報告一下我們要再精準投放我們還是需要有一些調查的分析啦那這個部分呢說實在的我們的調查分析的這個還希望能夠委員支持可能我們平常讓委員這個感受不到
transcript.whisperx[851].start 22357.182
transcript.whisperx[851].end 22384.779
transcript.whisperx[851].text 我們除了這個我可以簡單的說明我們如果在國外的分析裡面如果不夠到位我們沒辦法做精準投放而且我們說實在在疫情之後我們更希望能夠掌握更多的資訊就是旅遊客他在來到台灣或者是我們國內的旅遊能夠更掌握更多的資訊來做回饋那這個就是我們在做調研的一個觀光分析的一個非常重要的一個要件
transcript.whisperx[852].start 22385.579
transcript.whisperx[852].end 22414.55
transcript.whisperx[852].text 所以這個部分還是麻煩委員支持好 李崑哲委員好 謝謝昭偉那這些相關的委託調查相關的研究計畫其實是很重要 尤其是觀光旅遊的推動那我們知道我們生病了 去看醫生醫生很重要 護理師很重要但是醫檢師所提供的數據是作為醫病的一個最重要的參考依據的
transcript.whisperx[853].start 22415.35
transcript.whisperx[853].end 22443.356
transcript.whisperx[853].text 那我們相關有關於國際觀光相關的旅遊產業的推動就誠如周署長剛才所言我們不管是這種旅遊的狀況的調查分析或者是市場的趨勢研究或是產業人才的供需調查或者是數位觀光價值的未來發展各種資訊系統資安的研究等等
transcript.whisperx[854].start 22444.476
transcript.whisperx[854].end 22463.736
transcript.whisperx[854].text 這些都是像醫檢師所提供的數據才知道你三雙肝油脂高不高知道你的血糖數高不高這個都是很重要的一個觀光旅遊這個數據的分析投注是很重要的一個參考依據我是建議不要刪啦
transcript.whisperx[855].start 22466.224
transcript.whisperx[855].end 22482.81
transcript.whisperx[855].text 好的那我們現在針對於第16萬到第48案的部分那這個部分當然各委員到最後會需要針對於相關的議題提出書面報告那我們業務的費用44億0536萬餘元這個部分綜合所有委員的一個提案從幾百萬到2億他們折衷一下3減5000萬
transcript.whisperx[856].start 22493.561
transcript.whisperx[856].end 22504.93
transcript.whisperx[856].text 3.5千萬 凍結18然後提供書面報告 使得動之各位有沒有其他意見委員沒意見齁 不行啦好好好 署長 署長有意見來你再講一下44億才5千萬而已
transcript.whisperx[857].start 22520.546
transcript.whisperx[857].end 22543.296
transcript.whisperx[857].text 喔好 那這樣好了這樣好了啦 因為委員提這麼多啦 我們來處理一下3.2千萬啦 米科目自行調整調整啦 好不好 凍結10%每位委員問的問題 你還是要給各位專業回答好不好 他們同意啦 沒問題啦那我再宣告一下針對於16到48案業務費用
transcript.whisperx[858].start 22546.604
transcript.whisperx[858].end 22562.671
transcript.whisperx[858].text 我們處理方式如下3減2000萬凍結10%然後科目自行調整提供書面報告使得動之好沒有問題我們繼續處理好剛剛這個階段改組決議的有兩案17案跟第22案改為組決議主席還有我的第46案也改為組決議好第46案也改為組決議
transcript.whisperx[859].start 22578.584
transcript.whisperx[859].end 22588.96
transcript.whisperx[859].text 然後審完了嗎好我們接下來處理決議案我們審理組決議請各位委員翻到第49案
transcript.whisperx[860].start 22605.253
transcript.whisperx[860].end 22626.568
transcript.whisperx[860].text 好第49案有沒有問題遵照辦理好 照案通過第50案遵照辦理50案照案通過51案謝謝蘇越召委就是我們文字修正提書面報告好51案修正文字後通過
transcript.whisperx[861].start 22630.687
transcript.whisperx[861].end 22657.334
transcript.whisperx[861].text 額文字什麼修啊加書面書面就是專案改書面是不是專案改書面喔喔書面這樣提出書面報告加兩個字好第52案遵照辦理52案照案通過53案就召會協助改書面報告
transcript.whisperx[862].start 22660.093
transcript.whisperx[862].end 22664.315
transcript.whisperx[862].text 交通作業基金我們處理完畢我們做後續宣告
transcript.whisperx[863].start 22741.254
transcript.whisperx[863].end 22764.827
transcript.whisperx[863].text 好 謝謝各位委員今天協商完成做以下宣告一 今日協商結論免於宣讀授權議事人員整理作為決議列入記錄第二 委員要求提供之書面報告及相關資料請相關機關盡速以書面答覆第三 如有委員對於提案補簽列入記錄並刊登公報
transcript.whisperx[864].start 22771.184
transcript.whisperx[864].end 22794.104
transcript.whisperx[864].text 村長委員的46案他的助理有跟我們反映就是說他已經改成第49案所以要不要再跟村長委員再確認一下46案就不處理就是改成第49案的主決議再跟他確認一下好了可能那個村長委員不知道但他助理有跟我們這是基金嗎對這基金基金的部分所以他的助理有告訴我們46跟46
transcript.whisperx[865].start 22798.137
transcript.whisperx[865].end 22822.291
transcript.whisperx[865].text 好我們在這裡先確認一下齁稍微精確一點這邊邱若驊委員在現場因為這個助理有特別說明你在這個剛剛審議的觀光發展基金裡面有提案的46案預算案嘛策案直接改成49案的主決議好沒問題吧好
transcript.whisperx[866].start 22828.476
transcript.whisperx[866].end 22836.781
transcript.whisperx[866].text 好另外針對本日會議做以下決議一本日預算審查結果照列暫照列或
transcript.whisperx[867].start 22838.206
transcript.whisperx[867].end 22864.943
transcript.whisperx[867].text 照協商結論通過第二本日通過的舉願意文字授權主席及議事人員調整第三114年度社會發展部中華郵政公司觀光署及所屬觀光發展基金預算案均審查完畢第四本會主審之114年度中央政府總預算案
transcript.whisperx[868].start 22866.184
transcript.whisperx[868].end 22884.747
transcript.whisperx[868].text 關於公務預算部分附屬單位預算營業及非營業部分均與審查完略並決議如下第一有關公務預算正識別稅出預算隨同以上機關
transcript.whisperx[869].start 22886.598
transcript.whisperx[869].end 22897.836
transcript.whisperx[869].text 以機關別審查結果調整第二分別擬據公務預算附屬單位預算之營業及非營業部分審查報告
transcript.whisperx[870].start 22898.936
transcript.whisperx[870].end 22926.546
transcript.whisperx[870].text 含富財政委員會提報院會討論第三院會討論前需交由政黨協商院會討論時由本會魯昭吉委員明哲及陳昭吉委員數月出席說明請問各位委員對於以上的決議有無異議好沒有異議通過大家辛苦了本次會到此結束現在散會謝謝大家
transcript.whisperx[871].start 22927.607
transcript.whisperx[871].end 22927.627
transcript.whisperx[871].text