iVOD / 17402

Field Value
IVOD_ID 17402
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17402
日期 2026-05-04
會議資料.會議代碼 委員會-11-5-23-11
會議資料.會議代碼:str 第11屆第5會期交通委員會第11次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 11
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5會期交通委員會第11次全體委員會議
影片種類 Full
開始時間 2026-05-04T08:30:53+08:00
結束時間 2026-05-04T12:19:00+08:00
影片長度 03:48:07
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd30e3050d4c62c16ace50009cd90371ce92d343e5acb26ceb2ec3592dde96fc375ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-05-04T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第11次全體委員會議(事由:一、審查115年度中央政府總預算案關於國家運輸安全調查委員會單位預算。二、審查115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。【本次會議僅進行詢答;開會事由一及二預算提案截止收件時間:5月11日下午4時】)
委員名稱 完整會議
委員發言時間 08:30:53 - 12:19:00
transcript.pyannote[0].speaker SPEAKER_10
transcript.pyannote[0].start 1753.19159375
transcript.pyannote[0].end 1755.62159375
transcript.pyannote[1].speaker SPEAKER_10
transcript.pyannote[1].start 1755.77346875
transcript.pyannote[1].end 1758.54096875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1759.72221875
transcript.pyannote[2].end 1764.44721875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1764.78471875
transcript.pyannote[3].end 1768.22721875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1768.32846875
transcript.pyannote[4].end 1770.42096875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1770.92721875
transcript.pyannote[5].end 1775.19659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1775.41596875
transcript.pyannote[6].end 1777.27221875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1777.44096875
transcript.pyannote[7].end 1783.33034375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1783.88721875
transcript.pyannote[8].end 1785.54096875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 1785.76034375
transcript.pyannote[9].end 1789.30409375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 1790.40096875
transcript.pyannote[10].end 1797.48846875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 1797.77534375
transcript.pyannote[11].end 1811.05596875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 1811.15721875
transcript.pyannote[12].end 1815.51096875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 1815.67971875
transcript.pyannote[13].end 1823.94846875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 1824.25221875
transcript.pyannote[14].end 1826.37846875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 1826.68221875
transcript.pyannote[15].end 1834.46159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 1834.76534375
transcript.pyannote[16].end 1840.85721875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 1841.17784375
transcript.pyannote[17].end 1843.65846875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 1844.14784375
transcript.pyannote[18].end 1848.60284375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 1848.90659375
transcript.pyannote[19].end 1851.57284375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 1851.84284375
transcript.pyannote[20].end 1857.24284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 1857.66471875
transcript.pyannote[21].end 1858.77846875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 1859.26784375
transcript.pyannote[22].end 1864.75221875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 1865.20784375
transcript.pyannote[23].end 1869.67971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 1869.86534375
transcript.pyannote[24].end 1873.99971875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 1874.32034375
transcript.pyannote[25].end 1878.08346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 1878.38721875
transcript.pyannote[26].end 1878.64034375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 1879.18034375
transcript.pyannote[27].end 1881.54284375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 1882.77471875
transcript.pyannote[28].end 1886.87534375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 1887.26346875
transcript.pyannote[29].end 1890.55409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 1890.90846875
transcript.pyannote[30].end 1896.34221875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 1896.79784375
transcript.pyannote[31].end 1902.06284375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 1902.60284375
transcript.pyannote[32].end 1907.02409375
transcript.pyannote[33].speaker SPEAKER_10
transcript.pyannote[33].start 1909.35284375
transcript.pyannote[33].end 1915.56284375
transcript.pyannote[34].speaker SPEAKER_10
transcript.pyannote[34].start 1919.71409375
transcript.pyannote[34].end 1923.42659375
transcript.pyannote[35].speaker SPEAKER_10
transcript.pyannote[35].start 1927.27409375
transcript.pyannote[35].end 1930.78409375
transcript.pyannote[36].speaker SPEAKER_10
transcript.pyannote[36].start 1933.14659375
transcript.pyannote[36].end 1934.71596875
transcript.pyannote[37].speaker SPEAKER_10
transcript.pyannote[37].start 1936.69034375
transcript.pyannote[37].end 1939.69409375
transcript.pyannote[38].speaker SPEAKER_10
transcript.pyannote[38].start 1942.14096875
transcript.pyannote[38].end 1943.01846875
transcript.pyannote[39].speaker SPEAKER_10
transcript.pyannote[39].start 1943.47409375
transcript.pyannote[39].end 1944.23346875
transcript.pyannote[40].speaker SPEAKER_10
transcript.pyannote[40].start 1947.18659375
transcript.pyannote[40].end 1950.34221875
transcript.pyannote[41].speaker SPEAKER_10
transcript.pyannote[41].start 1952.31659375
transcript.pyannote[41].end 1953.97034375
transcript.pyannote[42].speaker SPEAKER_10
transcript.pyannote[42].start 1955.72534375
transcript.pyannote[42].end 1957.04159375
transcript.pyannote[43].speaker SPEAKER_10
transcript.pyannote[43].start 1959.25221875
transcript.pyannote[43].end 1961.14221875
transcript.pyannote[44].speaker SPEAKER_10
transcript.pyannote[44].start 1963.30221875
transcript.pyannote[44].end 1966.44096875
transcript.pyannote[45].speaker SPEAKER_10
transcript.pyannote[45].start 1968.21284375
transcript.pyannote[45].end 1970.11971875
transcript.pyannote[46].speaker SPEAKER_10
transcript.pyannote[46].start 1973.39346875
transcript.pyannote[46].end 1982.57346875
transcript.pyannote[47].speaker SPEAKER_07
transcript.pyannote[47].start 1991.43284375
transcript.pyannote[47].end 1995.24659375
transcript.pyannote[48].speaker SPEAKER_07
transcript.pyannote[48].start 1995.49971875
transcript.pyannote[48].end 2001.84471875
transcript.pyannote[49].speaker SPEAKER_07
transcript.pyannote[49].start 2002.19909375
transcript.pyannote[49].end 2005.05096875
transcript.pyannote[50].speaker SPEAKER_07
transcript.pyannote[50].start 2005.45596875
transcript.pyannote[50].end 2017.18409375
transcript.pyannote[51].speaker SPEAKER_16
transcript.pyannote[51].start 2017.75784375
transcript.pyannote[51].end 2018.11221875
transcript.pyannote[52].speaker SPEAKER_07
transcript.pyannote[52].start 2020.10346875
transcript.pyannote[52].end 2033.02971875
transcript.pyannote[53].speaker SPEAKER_07
transcript.pyannote[53].start 2033.45159375
transcript.pyannote[53].end 2033.89034375
transcript.pyannote[54].speaker SPEAKER_07
transcript.pyannote[54].start 2034.68346875
transcript.pyannote[54].end 2040.62346875
transcript.pyannote[55].speaker SPEAKER_07
transcript.pyannote[55].start 2040.96096875
transcript.pyannote[55].end 2043.17159375
transcript.pyannote[56].speaker SPEAKER_07
transcript.pyannote[56].start 2043.79596875
transcript.pyannote[56].end 2045.92221875
transcript.pyannote[57].speaker SPEAKER_07
transcript.pyannote[57].start 2047.06971875
transcript.pyannote[57].end 2047.55909375
transcript.pyannote[58].speaker SPEAKER_07
transcript.pyannote[58].start 2048.87534375
transcript.pyannote[58].end 2053.14471875
transcript.pyannote[59].speaker SPEAKER_07
transcript.pyannote[59].start 2053.80284375
transcript.pyannote[59].end 2064.13034375
transcript.pyannote[60].speaker SPEAKER_07
transcript.pyannote[60].start 2064.51846875
transcript.pyannote[60].end 2066.42534375
transcript.pyannote[61].speaker SPEAKER_07
transcript.pyannote[61].start 2067.45471875
transcript.pyannote[61].end 2068.23096875
transcript.pyannote[62].speaker SPEAKER_07
transcript.pyannote[62].start 2068.55159375
transcript.pyannote[62].end 2076.55034375
transcript.pyannote[63].speaker SPEAKER_07
transcript.pyannote[63].start 2076.93846875
transcript.pyannote[63].end 2077.61346875
transcript.pyannote[64].speaker SPEAKER_07
transcript.pyannote[64].start 2077.88346875
transcript.pyannote[64].end 2079.40221875
transcript.pyannote[65].speaker SPEAKER_07
transcript.pyannote[65].start 2079.68909375
transcript.pyannote[65].end 2085.54471875
transcript.pyannote[66].speaker SPEAKER_07
transcript.pyannote[66].start 2086.11846875
transcript.pyannote[66].end 2088.37971875
transcript.pyannote[67].speaker SPEAKER_07
transcript.pyannote[67].start 2088.59909375
transcript.pyannote[67].end 2095.68659375
transcript.pyannote[68].speaker SPEAKER_07
transcript.pyannote[68].start 2096.34471875
transcript.pyannote[68].end 2100.29346875
transcript.pyannote[69].speaker SPEAKER_07
transcript.pyannote[69].start 2100.74909375
transcript.pyannote[69].end 2106.55409375
transcript.pyannote[70].speaker SPEAKER_07
transcript.pyannote[70].start 2107.19534375
transcript.pyannote[70].end 2110.57034375
transcript.pyannote[71].speaker SPEAKER_07
transcript.pyannote[71].start 2111.39721875
transcript.pyannote[71].end 2122.83846875
transcript.pyannote[72].speaker SPEAKER_07
transcript.pyannote[72].start 2123.46284375
transcript.pyannote[72].end 2129.03159375
transcript.pyannote[73].speaker SPEAKER_07
transcript.pyannote[73].start 2130.21284375
transcript.pyannote[73].end 2140.54034375
transcript.pyannote[74].speaker SPEAKER_07
transcript.pyannote[74].start 2141.41784375
transcript.pyannote[74].end 2144.69159375
transcript.pyannote[75].speaker SPEAKER_07
transcript.pyannote[75].start 2145.51846875
transcript.pyannote[75].end 2146.58159375
transcript.pyannote[76].speaker SPEAKER_07
transcript.pyannote[76].start 2147.17221875
transcript.pyannote[76].end 2153.31471875
transcript.pyannote[77].speaker SPEAKER_07
transcript.pyannote[77].start 2153.68596875
transcript.pyannote[77].end 2157.53346875
transcript.pyannote[78].speaker SPEAKER_07
transcript.pyannote[78].start 2158.56284375
transcript.pyannote[78].end 2159.72721875
transcript.pyannote[79].speaker SPEAKER_07
transcript.pyannote[79].start 2160.97596875
transcript.pyannote[79].end 2165.73471875
transcript.pyannote[80].speaker SPEAKER_07
transcript.pyannote[80].start 2165.95409375
transcript.pyannote[80].end 2171.60721875
transcript.pyannote[81].speaker SPEAKER_07
transcript.pyannote[81].start 2171.67471875
transcript.pyannote[81].end 2175.35346875
transcript.pyannote[82].speaker SPEAKER_07
transcript.pyannote[82].start 2176.34909375
transcript.pyannote[82].end 2177.17596875
transcript.pyannote[83].speaker SPEAKER_07
transcript.pyannote[83].start 2177.96909375
transcript.pyannote[83].end 2183.03159375
transcript.pyannote[84].speaker SPEAKER_07
transcript.pyannote[84].start 2183.63909375
transcript.pyannote[84].end 2185.69784375
transcript.pyannote[85].speaker SPEAKER_07
transcript.pyannote[85].start 2186.05221875
transcript.pyannote[85].end 2192.34659375
transcript.pyannote[86].speaker SPEAKER_07
transcript.pyannote[86].start 2192.56596875
transcript.pyannote[86].end 2197.18971875
transcript.pyannote[87].speaker SPEAKER_07
transcript.pyannote[87].start 2198.72534375
transcript.pyannote[87].end 2201.25659375
transcript.pyannote[88].speaker SPEAKER_07
transcript.pyannote[88].start 2201.79659375
transcript.pyannote[88].end 2204.24346875
transcript.pyannote[89].speaker SPEAKER_07
transcript.pyannote[89].start 2204.61471875
transcript.pyannote[89].end 2207.63534375
transcript.pyannote[90].speaker SPEAKER_07
transcript.pyannote[90].start 2208.02346875
transcript.pyannote[90].end 2209.55909375
transcript.pyannote[91].speaker SPEAKER_07
transcript.pyannote[91].start 2209.76159375
transcript.pyannote[91].end 2210.87534375
transcript.pyannote[92].speaker SPEAKER_07
transcript.pyannote[92].start 2211.55034375
transcript.pyannote[92].end 2212.46159375
transcript.pyannote[93].speaker SPEAKER_07
transcript.pyannote[93].start 2212.96784375
transcript.pyannote[93].end 2215.07721875
transcript.pyannote[94].speaker SPEAKER_07
transcript.pyannote[94].start 2215.14471875
transcript.pyannote[94].end 2217.20346875
transcript.pyannote[95].speaker SPEAKER_07
transcript.pyannote[95].start 2217.79409375
transcript.pyannote[95].end 2219.16096875
transcript.pyannote[96].speaker SPEAKER_07
transcript.pyannote[96].start 2219.81909375
transcript.pyannote[96].end 2221.38846875
transcript.pyannote[97].speaker SPEAKER_07
transcript.pyannote[97].start 2221.82721875
transcript.pyannote[97].end 2223.34596875
transcript.pyannote[98].speaker SPEAKER_07
transcript.pyannote[98].start 2223.63284375
transcript.pyannote[98].end 2225.97846875
transcript.pyannote[99].speaker SPEAKER_07
transcript.pyannote[99].start 2226.85596875
transcript.pyannote[99].end 2229.85971875
transcript.pyannote[100].speaker SPEAKER_07
transcript.pyannote[100].start 2230.43346875
transcript.pyannote[100].end 2233.85909375
transcript.pyannote[101].speaker SPEAKER_07
transcript.pyannote[101].start 2235.31034375
transcript.pyannote[101].end 2240.57534375
transcript.pyannote[102].speaker SPEAKER_07
transcript.pyannote[102].start 2241.04784375
transcript.pyannote[102].end 2249.43471875
transcript.pyannote[103].speaker SPEAKER_07
transcript.pyannote[103].start 2249.92409375
transcript.pyannote[103].end 2251.72971875
transcript.pyannote[104].speaker SPEAKER_07
transcript.pyannote[104].start 2252.15159375
transcript.pyannote[104].end 2252.50596875
transcript.pyannote[105].speaker SPEAKER_07
transcript.pyannote[105].start 2252.99534375
transcript.pyannote[105].end 2256.10034375
transcript.pyannote[106].speaker SPEAKER_07
transcript.pyannote[106].start 2256.26909375
transcript.pyannote[106].end 2259.37409375
transcript.pyannote[107].speaker SPEAKER_07
transcript.pyannote[107].start 2259.96471875
transcript.pyannote[107].end 2263.40721875
transcript.pyannote[108].speaker SPEAKER_07
transcript.pyannote[108].start 2264.95971875
transcript.pyannote[108].end 2277.37971875
transcript.pyannote[109].speaker SPEAKER_07
transcript.pyannote[109].start 2278.05471875
transcript.pyannote[109].end 2279.60721875
transcript.pyannote[110].speaker SPEAKER_07
transcript.pyannote[110].start 2280.09659375
transcript.pyannote[110].end 2282.88096875
transcript.pyannote[111].speaker SPEAKER_07
transcript.pyannote[111].start 2282.91471875
transcript.pyannote[111].end 2285.69909375
transcript.pyannote[112].speaker SPEAKER_07
transcript.pyannote[112].start 2286.59346875
transcript.pyannote[112].end 2291.20034375
transcript.pyannote[113].speaker SPEAKER_07
transcript.pyannote[113].start 2291.79096875
transcript.pyannote[113].end 2293.39409375
transcript.pyannote[114].speaker SPEAKER_07
transcript.pyannote[114].start 2293.73159375
transcript.pyannote[114].end 2300.65034375
transcript.pyannote[115].speaker SPEAKER_07
transcript.pyannote[115].start 2301.37596875
transcript.pyannote[115].end 2304.00846875
transcript.pyannote[116].speaker SPEAKER_07
transcript.pyannote[116].start 2304.66659375
transcript.pyannote[116].end 2312.02409375
transcript.pyannote[117].speaker SPEAKER_07
transcript.pyannote[117].start 2312.73284375
transcript.pyannote[117].end 2316.61409375
transcript.pyannote[118].speaker SPEAKER_07
transcript.pyannote[118].start 2317.32284375
transcript.pyannote[118].end 2320.00596875
transcript.pyannote[119].speaker SPEAKER_07
transcript.pyannote[119].start 2320.51221875
transcript.pyannote[119].end 2321.37284375
transcript.pyannote[120].speaker SPEAKER_07
transcript.pyannote[120].start 2321.76096875
transcript.pyannote[120].end 2323.34721875
transcript.pyannote[121].speaker SPEAKER_07
transcript.pyannote[121].start 2323.95471875
transcript.pyannote[121].end 2326.35096875
transcript.pyannote[122].speaker SPEAKER_07
transcript.pyannote[122].start 2327.56596875
transcript.pyannote[122].end 2327.85284375
transcript.pyannote[123].speaker SPEAKER_07
transcript.pyannote[123].start 2328.27471875
transcript.pyannote[123].end 2329.03409375
transcript.pyannote[124].speaker SPEAKER_07
transcript.pyannote[124].start 2329.08471875
transcript.pyannote[124].end 2336.00346875
transcript.pyannote[125].speaker SPEAKER_07
transcript.pyannote[125].start 2336.32409375
transcript.pyannote[125].end 2342.12909375
transcript.pyannote[126].speaker SPEAKER_07
transcript.pyannote[126].start 2342.95596875
transcript.pyannote[126].end 2343.32721875
transcript.pyannote[127].speaker SPEAKER_07
transcript.pyannote[127].start 2344.06971875
transcript.pyannote[127].end 2352.10221875
transcript.pyannote[128].speaker SPEAKER_07
transcript.pyannote[128].start 2352.65909375
transcript.pyannote[128].end 2355.66284375
transcript.pyannote[129].speaker SPEAKER_07
transcript.pyannote[129].start 2356.65846875
transcript.pyannote[129].end 2359.05471875
transcript.pyannote[130].speaker SPEAKER_07
transcript.pyannote[130].start 2359.39221875
transcript.pyannote[130].end 2363.74596875
transcript.pyannote[131].speaker SPEAKER_07
transcript.pyannote[131].start 2364.50534375
transcript.pyannote[131].end 2364.87659375
transcript.pyannote[132].speaker SPEAKER_07
transcript.pyannote[132].start 2366.15909375
transcript.pyannote[132].end 2379.77721875
transcript.pyannote[133].speaker SPEAKER_07
transcript.pyannote[133].start 2380.16534375
transcript.pyannote[133].end 2381.38034375
transcript.pyannote[134].speaker SPEAKER_07
transcript.pyannote[134].start 2381.90346875
transcript.pyannote[134].end 2384.65409375
transcript.pyannote[135].speaker SPEAKER_07
transcript.pyannote[135].start 2385.07596875
transcript.pyannote[135].end 2389.02471875
transcript.pyannote[136].speaker SPEAKER_07
transcript.pyannote[136].start 2389.54784375
transcript.pyannote[136].end 2391.25221875
transcript.pyannote[137].speaker SPEAKER_10
transcript.pyannote[137].start 2394.32346875
transcript.pyannote[137].end 2399.62221875
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 2409.47721875
transcript.pyannote[138].end 2426.45346875
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 2427.36471875
transcript.pyannote[139].end 2433.74346875
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 2433.81096875
transcript.pyannote[140].end 2442.14721875
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 2443.19346875
transcript.pyannote[141].end 2479.23846875
transcript.pyannote[142].speaker SPEAKER_05
transcript.pyannote[142].start 2479.44096875
transcript.pyannote[142].end 2488.24971875
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 2489.65034375
transcript.pyannote[143].end 2494.57784375
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 2494.74659375
transcript.pyannote[144].end 2505.96846875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 2506.62659375
transcript.pyannote[145].end 2520.59909375
transcript.pyannote[146].speaker SPEAKER_10
transcript.pyannote[146].start 2526.25221875
transcript.pyannote[146].end 2530.25159375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 2537.76096875
transcript.pyannote[147].end 2543.88659375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 2544.44346875
transcript.pyannote[148].end 2550.87284375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 2551.09221875
transcript.pyannote[149].end 2551.46346875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 2551.88534375
transcript.pyannote[150].end 2554.82159375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 2555.12534375
transcript.pyannote[151].end 2567.73096875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 2568.10221875
transcript.pyannote[152].end 2576.67471875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 2576.84346875
transcript.pyannote[153].end 2597.85284375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 2598.32534375
transcript.pyannote[154].end 2607.43784375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 2608.12971875
transcript.pyannote[155].end 2619.73971875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 2620.66784375
transcript.pyannote[156].end 2628.17721875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 2628.31221875
transcript.pyannote[157].end 2630.65784375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 2631.16409375
transcript.pyannote[158].end 2635.61909375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 2635.87221875
transcript.pyannote[159].end 2639.07846875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 2639.73659375
transcript.pyannote[160].end 2653.05096875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 2653.38846875
transcript.pyannote[161].end 2655.21096875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 2655.58221875
transcript.pyannote[162].end 2660.79659375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 2661.28596875
transcript.pyannote[163].end 2661.65721875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 2661.77534375
transcript.pyannote[164].end 2665.16721875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 2665.40346875
transcript.pyannote[165].end 2666.60159375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 2666.95596875
transcript.pyannote[166].end 2669.85846875
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 2670.09471875
transcript.pyannote[167].end 2672.42346875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 2672.71034375
transcript.pyannote[168].end 2680.77659375
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 2681.13096875
transcript.pyannote[169].end 2687.94846875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 2688.42096875
transcript.pyannote[170].end 2691.67784375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 2692.01534375
transcript.pyannote[171].end 2700.30096875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 2700.75659375
transcript.pyannote[172].end 2702.00534375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 2702.34284375
transcript.pyannote[173].end 2713.81784375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 2713.96971875
transcript.pyannote[174].end 2716.38284375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 2716.90596875
transcript.pyannote[175].end 2721.31034375
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 2721.63096875
transcript.pyannote[176].end 2725.76534375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 2726.11971875
transcript.pyannote[177].end 2733.67971875
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 2734.27034375
transcript.pyannote[178].end 2756.68034375
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 2756.89971875
transcript.pyannote[179].end 2758.46909375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 2759.49846875
transcript.pyannote[180].end 2768.61096875
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 2768.89784375
transcript.pyannote[181].end 2780.84534375
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 2781.31784375
transcript.pyannote[182].end 2785.41846875
transcript.pyannote[183].speaker SPEAKER_10
transcript.pyannote[183].start 2789.18159375
transcript.pyannote[183].end 2790.26159375
transcript.pyannote[184].speaker SPEAKER_10
transcript.pyannote[184].start 2792.10096875
transcript.pyannote[184].end 2801.02784375
transcript.pyannote[185].speaker SPEAKER_10
transcript.pyannote[185].start 2801.29784375
transcript.pyannote[185].end 2807.47409375
transcript.pyannote[186].speaker SPEAKER_10
transcript.pyannote[186].start 2807.72721875
transcript.pyannote[186].end 2810.64659375
transcript.pyannote[187].speaker SPEAKER_17
transcript.pyannote[187].start 2821.37909375
transcript.pyannote[187].end 2827.04909375
transcript.pyannote[188].speaker SPEAKER_17
transcript.pyannote[188].start 2835.67221875
transcript.pyannote[188].end 2835.68909375
transcript.pyannote[189].speaker SPEAKER_14
transcript.pyannote[189].start 2835.68909375
transcript.pyannote[189].end 2840.54909375
transcript.pyannote[190].speaker SPEAKER_14
transcript.pyannote[190].start 2841.02159375
transcript.pyannote[190].end 2865.67596875
transcript.pyannote[191].speaker SPEAKER_14
transcript.pyannote[191].start 2866.01346875
transcript.pyannote[191].end 2879.10846875
transcript.pyannote[192].speaker SPEAKER_07
transcript.pyannote[192].start 2879.85096875
transcript.pyannote[192].end 2880.61034375
transcript.pyannote[193].speaker SPEAKER_07
transcript.pyannote[193].start 2881.01534375
transcript.pyannote[193].end 2886.43221875
transcript.pyannote[194].speaker SPEAKER_07
transcript.pyannote[194].start 2887.24221875
transcript.pyannote[194].end 2902.96971875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 2888.50784375
transcript.pyannote[195].end 2888.57534375
transcript.pyannote[196].speaker SPEAKER_16
transcript.pyannote[196].start 2888.57534375
transcript.pyannote[196].end 2888.86221875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 2888.86221875
transcript.pyannote[197].end 2888.91284375
transcript.pyannote[198].speaker SPEAKER_14
transcript.pyannote[198].start 2900.92784375
transcript.pyannote[198].end 2901.33284375
transcript.pyannote[199].speaker SPEAKER_14
transcript.pyannote[199].start 2902.56471875
transcript.pyannote[199].end 2902.64909375
transcript.pyannote[200].speaker SPEAKER_14
transcript.pyannote[200].start 2902.96971875
transcript.pyannote[200].end 3008.33721875
transcript.pyannote[201].speaker SPEAKER_14
transcript.pyannote[201].start 3008.89409375
transcript.pyannote[201].end 3029.76846875
transcript.pyannote[202].speaker SPEAKER_14
transcript.pyannote[202].start 3031.96221875
transcript.pyannote[202].end 3036.82221875
transcript.pyannote[203].speaker SPEAKER_07
transcript.pyannote[203].start 3037.75034375
transcript.pyannote[203].end 3045.91784375
transcript.pyannote[204].speaker SPEAKER_14
transcript.pyannote[204].start 3038.39159375
transcript.pyannote[204].end 3039.55596875
transcript.pyannote[205].speaker SPEAKER_14
transcript.pyannote[205].start 3045.91784375
transcript.pyannote[205].end 3045.93471875
transcript.pyannote[206].speaker SPEAKER_07
transcript.pyannote[206].start 3045.93471875
transcript.pyannote[206].end 3045.96846875
transcript.pyannote[207].speaker SPEAKER_16
transcript.pyannote[207].start 3045.96846875
transcript.pyannote[207].end 3046.25534375
transcript.pyannote[208].speaker SPEAKER_07
transcript.pyannote[208].start 3046.30596875
transcript.pyannote[208].end 3046.33971875
transcript.pyannote[209].speaker SPEAKER_14
transcript.pyannote[209].start 3046.33971875
transcript.pyannote[209].end 3053.42721875
transcript.pyannote[210].speaker SPEAKER_07
transcript.pyannote[210].start 3056.16096875
transcript.pyannote[210].end 3079.21221875
transcript.pyannote[211].speaker SPEAKER_14
transcript.pyannote[211].start 3079.39784375
transcript.pyannote[211].end 3097.48784375
transcript.pyannote[212].speaker SPEAKER_14
transcript.pyannote[212].start 3098.09534375
transcript.pyannote[212].end 3100.00221875
transcript.pyannote[213].speaker SPEAKER_14
transcript.pyannote[213].start 3100.13721875
transcript.pyannote[213].end 3105.57096875
transcript.pyannote[214].speaker SPEAKER_14
transcript.pyannote[214].start 3106.24596875
transcript.pyannote[214].end 3118.64909375
transcript.pyannote[215].speaker SPEAKER_14
transcript.pyannote[215].start 3118.96971875
transcript.pyannote[215].end 3119.42534375
transcript.pyannote[216].speaker SPEAKER_14
transcript.pyannote[216].start 3119.72909375
transcript.pyannote[216].end 3124.55534375
transcript.pyannote[217].speaker SPEAKER_14
transcript.pyannote[217].start 3124.99409375
transcript.pyannote[217].end 3132.26721875
transcript.pyannote[218].speaker SPEAKER_14
transcript.pyannote[218].start 3132.97596875
transcript.pyannote[218].end 3136.09784375
transcript.pyannote[219].speaker SPEAKER_14
transcript.pyannote[219].start 3136.99221875
transcript.pyannote[219].end 3137.88659375
transcript.pyannote[220].speaker SPEAKER_14
transcript.pyannote[220].start 3138.42659375
transcript.pyannote[220].end 3139.40534375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 3140.23221875
transcript.pyannote[221].end 3143.82659375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 3143.97846875
transcript.pyannote[222].end 3148.14659375
transcript.pyannote[223].speaker SPEAKER_14
transcript.pyannote[223].start 3146.57721875
transcript.pyannote[223].end 3149.86784375
transcript.pyannote[224].speaker SPEAKER_14
transcript.pyannote[224].start 3151.13346875
transcript.pyannote[224].end 3156.51659375
transcript.pyannote[225].speaker SPEAKER_14
transcript.pyannote[225].start 3157.09034375
transcript.pyannote[225].end 3186.13221875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 3186.99284375
transcript.pyannote[226].end 3187.58346875
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 3187.93784375
transcript.pyannote[227].end 3192.13971875
transcript.pyannote[228].speaker SPEAKER_14
transcript.pyannote[228].start 3190.62096875
transcript.pyannote[228].end 3190.92471875
transcript.pyannote[229].speaker SPEAKER_16
transcript.pyannote[229].start 3190.92471875
transcript.pyannote[229].end 3190.94159375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 3192.52784375
transcript.pyannote[230].end 3193.03409375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 3193.42221875
transcript.pyannote[231].end 3196.78034375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 3197.03346875
transcript.pyannote[232].end 3205.48784375
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 3205.72409375
transcript.pyannote[233].end 3232.42034375
transcript.pyannote[234].speaker SPEAKER_14
transcript.pyannote[234].start 3209.52096875
transcript.pyannote[234].end 3213.30096875
transcript.pyannote[235].speaker SPEAKER_14
transcript.pyannote[235].start 3215.96721875
transcript.pyannote[235].end 3216.13596875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 3232.65659375
transcript.pyannote[236].end 3235.47471875
transcript.pyannote[237].speaker SPEAKER_14
transcript.pyannote[237].start 3234.52971875
transcript.pyannote[237].end 3240.06471875
transcript.pyannote[238].speaker SPEAKER_14
transcript.pyannote[238].start 3240.75659375
transcript.pyannote[238].end 3257.71596875
transcript.pyannote[239].speaker SPEAKER_16
transcript.pyannote[239].start 3255.15096875
transcript.pyannote[239].end 3255.58971875
transcript.pyannote[240].speaker SPEAKER_16
transcript.pyannote[240].start 3257.71596875
transcript.pyannote[240].end 3258.03659375
transcript.pyannote[241].speaker SPEAKER_14
transcript.pyannote[241].start 3257.96909375
transcript.pyannote[241].end 3268.80284375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 3268.93784375
transcript.pyannote[242].end 3277.56096875
transcript.pyannote[243].speaker SPEAKER_14
transcript.pyannote[243].start 3273.34221875
transcript.pyannote[243].end 3273.56159375
transcript.pyannote[244].speaker SPEAKER_14
transcript.pyannote[244].start 3276.93659375
transcript.pyannote[244].end 3279.46784375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 3279.02909375
transcript.pyannote[245].end 3290.21721875
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 3290.38596875
transcript.pyannote[246].end 3301.16909375
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 3301.28721875
transcript.pyannote[247].end 3304.93221875
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 3305.10096875
transcript.pyannote[248].end 3310.26471875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 3310.60221875
transcript.pyannote[249].end 3320.38971875
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 3320.60909375
transcript.pyannote[250].end 3328.96221875
transcript.pyannote[251].speaker SPEAKER_14
transcript.pyannote[251].start 3328.92846875
transcript.pyannote[251].end 3335.30721875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 3330.05909375
transcript.pyannote[252].end 3331.45971875
transcript.pyannote[253].speaker SPEAKER_14
transcript.pyannote[253].start 3335.57721875
transcript.pyannote[253].end 3336.15096875
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 3336.15096875
transcript.pyannote[254].end 3336.40409375
transcript.pyannote[255].speaker SPEAKER_14
transcript.pyannote[255].start 3336.40409375
transcript.pyannote[255].end 3337.51784375
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 3336.77534375
transcript.pyannote[256].end 3337.31534375
transcript.pyannote[257].speaker SPEAKER_03
transcript.pyannote[257].start 3337.51784375
transcript.pyannote[257].end 3339.23909375
transcript.pyannote[258].speaker SPEAKER_14
transcript.pyannote[258].start 3338.27721875
transcript.pyannote[258].end 3342.73221875
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 3342.17534375
transcript.pyannote[259].end 3344.65596875
transcript.pyannote[260].speaker SPEAKER_14
transcript.pyannote[260].start 3344.43659375
transcript.pyannote[260].end 3344.74034375
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 3344.74034375
transcript.pyannote[261].end 3351.32159375
transcript.pyannote[262].speaker SPEAKER_14
transcript.pyannote[262].start 3349.22909375
transcript.pyannote[262].end 3366.47534375
transcript.pyannote[263].speaker SPEAKER_16
transcript.pyannote[263].start 3357.53159375
transcript.pyannote[263].end 3357.54846875
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 3357.54846875
transcript.pyannote[264].end 3357.58221875
transcript.pyannote[265].speaker SPEAKER_14
transcript.pyannote[265].start 3367.03221875
transcript.pyannote[265].end 3368.33159375
transcript.pyannote[266].speaker SPEAKER_14
transcript.pyannote[266].start 3370.13721875
transcript.pyannote[266].end 3376.04346875
transcript.pyannote[267].speaker SPEAKER_14
transcript.pyannote[267].start 3376.24596875
transcript.pyannote[267].end 3398.25096875
transcript.pyannote[268].speaker SPEAKER_14
transcript.pyannote[268].start 3398.31846875
transcript.pyannote[268].end 3399.63471875
transcript.pyannote[269].speaker SPEAKER_14
transcript.pyannote[269].start 3400.12409375
transcript.pyannote[269].end 3404.19096875
transcript.pyannote[270].speaker SPEAKER_14
transcript.pyannote[270].start 3404.78159375
transcript.pyannote[270].end 3411.16034375
transcript.pyannote[271].speaker SPEAKER_16
transcript.pyannote[271].start 3411.16034375
transcript.pyannote[271].end 3411.19409375
transcript.pyannote[272].speaker SPEAKER_14
transcript.pyannote[272].start 3411.19409375
transcript.pyannote[272].end 3424.32284375
transcript.pyannote[273].speaker SPEAKER_14
transcript.pyannote[273].start 3424.42409375
transcript.pyannote[273].end 3441.60284375
transcript.pyannote[274].speaker SPEAKER_14
transcript.pyannote[274].start 3441.94034375
transcript.pyannote[274].end 3450.93471875
transcript.pyannote[275].speaker SPEAKER_14
transcript.pyannote[275].start 3451.08659375
transcript.pyannote[275].end 3452.45346875
transcript.pyannote[276].speaker SPEAKER_14
transcript.pyannote[276].start 3452.65596875
transcript.pyannote[276].end 3459.16971875
transcript.pyannote[277].speaker SPEAKER_14
transcript.pyannote[277].start 3459.65909375
transcript.pyannote[277].end 3474.54284375
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 3474.54284375
transcript.pyannote[278].end 3474.61034375
transcript.pyannote[279].speaker SPEAKER_16
transcript.pyannote[279].start 3474.61034375
transcript.pyannote[279].end 3474.64409375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 3474.64409375
transcript.pyannote[280].end 3474.79596875
transcript.pyannote[281].speaker SPEAKER_16
transcript.pyannote[281].start 3474.79596875
transcript.pyannote[281].end 3474.84659375
transcript.pyannote[282].speaker SPEAKER_14
transcript.pyannote[282].start 3475.28534375
transcript.pyannote[282].end 3476.63534375
transcript.pyannote[283].speaker SPEAKER_03
transcript.pyannote[283].start 3475.40346875
transcript.pyannote[283].end 3475.42034375
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 3476.63534375
transcript.pyannote[284].end 3476.65221875
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 3477.32721875
transcript.pyannote[285].end 3486.72659375
transcript.pyannote[286].speaker SPEAKER_16
transcript.pyannote[286].start 3480.41534375
transcript.pyannote[286].end 3480.78659375
transcript.pyannote[287].speaker SPEAKER_03
transcript.pyannote[287].start 3486.87846875
transcript.pyannote[287].end 3489.96659375
transcript.pyannote[288].speaker SPEAKER_14
transcript.pyannote[288].start 3489.96659375
transcript.pyannote[288].end 3490.40534375
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 3490.40534375
transcript.pyannote[289].end 3497.96534375
transcript.pyannote[290].speaker SPEAKER_14
transcript.pyannote[290].start 3497.91471875
transcript.pyannote[290].end 3498.06659375
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 3498.06659375
transcript.pyannote[291].end 3498.97784375
transcript.pyannote[292].speaker SPEAKER_14
transcript.pyannote[292].start 3498.97784375
transcript.pyannote[292].end 3499.56846875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 3499.56846875
transcript.pyannote[293].end 3499.66971875
transcript.pyannote[294].speaker SPEAKER_14
transcript.pyannote[294].start 3499.66971875
transcript.pyannote[294].end 3522.45096875
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 3500.47971875
transcript.pyannote[295].end 3500.49659375
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 3522.45096875
transcript.pyannote[296].end 3531.49596875
transcript.pyannote[297].speaker SPEAKER_03
transcript.pyannote[297].start 3531.68159375
transcript.pyannote[297].end 3533.97659375
transcript.pyannote[298].speaker SPEAKER_14
transcript.pyannote[298].start 3533.97659375
transcript.pyannote[298].end 3534.29721875
transcript.pyannote[299].speaker SPEAKER_14
transcript.pyannote[299].start 3535.29284375
transcript.pyannote[299].end 3542.16096875
transcript.pyannote[300].speaker SPEAKER_14
transcript.pyannote[300].start 3542.46471875
transcript.pyannote[300].end 3556.96034375
transcript.pyannote[301].speaker SPEAKER_03
transcript.pyannote[301].start 3553.99034375
transcript.pyannote[301].end 3554.34471875
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 3555.25596875
transcript.pyannote[302].end 3556.03221875
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 3556.96034375
transcript.pyannote[303].end 3576.50159375
transcript.pyannote[304].speaker SPEAKER_14
transcript.pyannote[304].start 3560.04846875
transcript.pyannote[304].end 3560.08221875
transcript.pyannote[305].speaker SPEAKER_14
transcript.pyannote[305].start 3560.13284375
transcript.pyannote[305].end 3560.28471875
transcript.pyannote[306].speaker SPEAKER_14
transcript.pyannote[306].start 3564.53721875
transcript.pyannote[306].end 3565.46534375
transcript.pyannote[307].speaker SPEAKER_14
transcript.pyannote[307].start 3568.14846875
transcript.pyannote[307].end 3572.16471875
transcript.pyannote[308].speaker SPEAKER_14
transcript.pyannote[308].start 3576.56909375
transcript.pyannote[308].end 3582.74534375
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 3580.87221875
transcript.pyannote[309].end 3581.47971875
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 3582.55971875
transcript.pyannote[310].end 3583.57221875
transcript.pyannote[311].speaker SPEAKER_14
transcript.pyannote[311].start 3582.76221875
transcript.pyannote[311].end 3582.77909375
transcript.pyannote[312].speaker SPEAKER_14
transcript.pyannote[312].start 3583.01534375
transcript.pyannote[312].end 3585.17534375
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 3585.56346875
transcript.pyannote[313].end 3587.33534375
transcript.pyannote[314].speaker SPEAKER_14
transcript.pyannote[314].start 3586.42409375
transcript.pyannote[314].end 3587.53784375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 3587.87534375
transcript.pyannote[315].end 3587.92596875
transcript.pyannote[316].speaker SPEAKER_16
transcript.pyannote[316].start 3587.92596875
transcript.pyannote[316].end 3588.06096875
transcript.pyannote[317].speaker SPEAKER_14
transcript.pyannote[317].start 3588.31409375
transcript.pyannote[317].end 3622.31721875
transcript.pyannote[318].speaker SPEAKER_03
transcript.pyannote[318].start 3622.31721875
transcript.pyannote[318].end 3622.73909375
transcript.pyannote[319].speaker SPEAKER_14
transcript.pyannote[319].start 3622.73909375
transcript.pyannote[319].end 3623.93721875
transcript.pyannote[320].speaker SPEAKER_14
transcript.pyannote[320].start 3626.35034375
transcript.pyannote[320].end 3626.36721875
transcript.pyannote[321].speaker SPEAKER_10
transcript.pyannote[321].start 3626.36721875
transcript.pyannote[321].end 3627.93659375
transcript.pyannote[322].speaker SPEAKER_10
transcript.pyannote[322].start 3628.47659375
transcript.pyannote[322].end 3631.83471875
transcript.pyannote[323].speaker SPEAKER_10
transcript.pyannote[323].start 3632.54346875
transcript.pyannote[323].end 3633.28596875
transcript.pyannote[324].speaker SPEAKER_10
transcript.pyannote[324].start 3633.70784375
transcript.pyannote[324].end 3635.73284375
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 3646.56659375
transcript.pyannote[325].end 3650.49846875
transcript.pyannote[326].speaker SPEAKER_10
transcript.pyannote[326].start 3650.80221875
transcript.pyannote[326].end 3651.79784375
transcript.pyannote[327].speaker SPEAKER_15
transcript.pyannote[327].start 3660.97784375
transcript.pyannote[327].end 3661.18034375
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 3661.18034375
transcript.pyannote[328].end 3661.53471875
transcript.pyannote[329].speaker SPEAKER_15
transcript.pyannote[329].start 3661.53471875
transcript.pyannote[329].end 3671.27159375
transcript.pyannote[330].speaker SPEAKER_15
transcript.pyannote[330].start 3671.47409375
transcript.pyannote[330].end 3700.17846875
transcript.pyannote[331].speaker SPEAKER_15
transcript.pyannote[331].start 3700.75221875
transcript.pyannote[331].end 3710.15159375
transcript.pyannote[332].speaker SPEAKER_15
transcript.pyannote[332].start 3710.48909375
transcript.pyannote[332].end 3717.01971875
transcript.pyannote[333].speaker SPEAKER_15
transcript.pyannote[333].start 3717.49221875
transcript.pyannote[333].end 3730.18221875
transcript.pyannote[334].speaker SPEAKER_15
transcript.pyannote[334].start 3730.70534375
transcript.pyannote[334].end 3754.46534375
transcript.pyannote[335].speaker SPEAKER_15
transcript.pyannote[335].start 3755.61284375
transcript.pyannote[335].end 3757.77284375
transcript.pyannote[336].speaker SPEAKER_15
transcript.pyannote[336].start 3758.22846875
transcript.pyannote[336].end 3765.31596875
transcript.pyannote[337].speaker SPEAKER_03
transcript.pyannote[337].start 3765.31596875
transcript.pyannote[337].end 3765.33284375
transcript.pyannote[338].speaker SPEAKER_03
transcript.pyannote[338].start 3765.45096875
transcript.pyannote[338].end 3784.08096875
transcript.pyannote[339].speaker SPEAKER_03
transcript.pyannote[339].start 3784.46909375
transcript.pyannote[339].end 3785.48159375
transcript.pyannote[340].speaker SPEAKER_03
transcript.pyannote[340].start 3785.81909375
transcript.pyannote[340].end 3788.06346875
transcript.pyannote[341].speaker SPEAKER_03
transcript.pyannote[341].start 3788.40096875
transcript.pyannote[341].end 3795.50534375
transcript.pyannote[342].speaker SPEAKER_03
transcript.pyannote[342].start 3795.74159375
transcript.pyannote[342].end 3810.96284375
transcript.pyannote[343].speaker SPEAKER_15
transcript.pyannote[343].start 3808.83659375
transcript.pyannote[343].end 3810.55784375
transcript.pyannote[344].speaker SPEAKER_15
transcript.pyannote[344].start 3810.96284375
transcript.pyannote[344].end 3824.42909375
transcript.pyannote[345].speaker SPEAKER_03
transcript.pyannote[345].start 3811.70534375
transcript.pyannote[345].end 3812.26221875
transcript.pyannote[346].speaker SPEAKER_15
transcript.pyannote[346].start 3824.80034375
transcript.pyannote[346].end 3833.50784375
transcript.pyannote[347].speaker SPEAKER_16
transcript.pyannote[347].start 3833.50784375
transcript.pyannote[347].end 3833.71034375
transcript.pyannote[348].speaker SPEAKER_15
transcript.pyannote[348].start 3833.71034375
transcript.pyannote[348].end 3833.79471875
transcript.pyannote[349].speaker SPEAKER_15
transcript.pyannote[349].start 3833.94659375
transcript.pyannote[349].end 3836.02221875
transcript.pyannote[350].speaker SPEAKER_15
transcript.pyannote[350].start 3836.10659375
transcript.pyannote[350].end 3837.22034375
transcript.pyannote[351].speaker SPEAKER_15
transcript.pyannote[351].start 3837.67596875
transcript.pyannote[351].end 3840.71346875
transcript.pyannote[352].speaker SPEAKER_15
transcript.pyannote[352].start 3841.35471875
transcript.pyannote[352].end 3845.57346875
transcript.pyannote[353].speaker SPEAKER_15
transcript.pyannote[353].start 3845.86034375
transcript.pyannote[353].end 3851.71596875
transcript.pyannote[354].speaker SPEAKER_16
transcript.pyannote[354].start 3851.71596875
transcript.pyannote[354].end 3851.90159375
transcript.pyannote[355].speaker SPEAKER_15
transcript.pyannote[355].start 3851.90159375
transcript.pyannote[355].end 3856.33971875
transcript.pyannote[356].speaker SPEAKER_15
transcript.pyannote[356].start 3856.91346875
transcript.pyannote[356].end 3857.38596875
transcript.pyannote[357].speaker SPEAKER_15
transcript.pyannote[357].start 3859.14096875
transcript.pyannote[357].end 3860.96346875
transcript.pyannote[358].speaker SPEAKER_16
transcript.pyannote[358].start 3860.96346875
transcript.pyannote[358].end 3861.31784375
transcript.pyannote[359].speaker SPEAKER_15
transcript.pyannote[359].start 3861.28409375
transcript.pyannote[359].end 3865.63784375
transcript.pyannote[360].speaker SPEAKER_15
transcript.pyannote[360].start 3866.34659375
transcript.pyannote[360].end 3867.91596875
transcript.pyannote[361].speaker SPEAKER_15
transcript.pyannote[361].start 3868.37159375
transcript.pyannote[361].end 3873.31596875
transcript.pyannote[362].speaker SPEAKER_15
transcript.pyannote[362].start 3873.68721875
transcript.pyannote[362].end 3875.69534375
transcript.pyannote[363].speaker SPEAKER_03
transcript.pyannote[363].start 3875.93159375
transcript.pyannote[363].end 3895.10159375
transcript.pyannote[364].speaker SPEAKER_03
transcript.pyannote[364].start 3895.32096875
transcript.pyannote[364].end 3897.22784375
transcript.pyannote[365].speaker SPEAKER_15
transcript.pyannote[365].start 3897.22784375
transcript.pyannote[365].end 3897.29534375
transcript.pyannote[366].speaker SPEAKER_15
transcript.pyannote[366].start 3897.51471875
transcript.pyannote[366].end 3897.54846875
transcript.pyannote[367].speaker SPEAKER_03
transcript.pyannote[367].start 3897.54846875
transcript.pyannote[367].end 3898.47659375
transcript.pyannote[368].speaker SPEAKER_15
transcript.pyannote[368].start 3897.93659375
transcript.pyannote[368].end 3898.81409375
transcript.pyannote[369].speaker SPEAKER_15
transcript.pyannote[369].start 3898.96596875
transcript.pyannote[369].end 3901.68284375
transcript.pyannote[370].speaker SPEAKER_15
transcript.pyannote[370].start 3902.13846875
transcript.pyannote[370].end 3917.49471875
transcript.pyannote[371].speaker SPEAKER_15
transcript.pyannote[371].start 3918.40596875
transcript.pyannote[371].end 3929.10471875
transcript.pyannote[372].speaker SPEAKER_15
transcript.pyannote[372].start 3930.79221875
transcript.pyannote[372].end 3938.33534375
transcript.pyannote[373].speaker SPEAKER_15
transcript.pyannote[373].start 3938.57159375
transcript.pyannote[373].end 3950.97471875
transcript.pyannote[374].speaker SPEAKER_03
transcript.pyannote[374].start 3951.27846875
transcript.pyannote[374].end 3963.54659375
transcript.pyannote[375].speaker SPEAKER_03
transcript.pyannote[375].start 3963.85034375
transcript.pyannote[375].end 3977.94096875
transcript.pyannote[376].speaker SPEAKER_15
transcript.pyannote[376].start 3974.32971875
transcript.pyannote[376].end 3975.78096875
transcript.pyannote[377].speaker SPEAKER_15
transcript.pyannote[377].start 3976.21971875
transcript.pyannote[377].end 3978.88596875
transcript.pyannote[378].speaker SPEAKER_03
transcript.pyannote[378].start 3978.44721875
transcript.pyannote[378].end 3978.90284375
transcript.pyannote[379].speaker SPEAKER_15
transcript.pyannote[379].start 3978.90284375
transcript.pyannote[379].end 3985.53471875
transcript.pyannote[380].speaker SPEAKER_15
transcript.pyannote[380].start 3986.12534375
transcript.pyannote[380].end 3991.60971875
transcript.pyannote[381].speaker SPEAKER_15
transcript.pyannote[381].start 3991.81221875
transcript.pyannote[381].end 3992.53784375
transcript.pyannote[382].speaker SPEAKER_15
transcript.pyannote[382].start 3992.79096875
transcript.pyannote[382].end 3998.02221875
transcript.pyannote[383].speaker SPEAKER_15
transcript.pyannote[383].start 3998.30909375
transcript.pyannote[383].end 4000.53659375
transcript.pyannote[384].speaker SPEAKER_15
transcript.pyannote[384].start 4001.53221875
transcript.pyannote[384].end 4008.94034375
transcript.pyannote[385].speaker SPEAKER_15
transcript.pyannote[385].start 4009.49721875
transcript.pyannote[385].end 4011.82596875
transcript.pyannote[386].speaker SPEAKER_15
transcript.pyannote[386].start 4012.26471875
transcript.pyannote[386].end 4016.28096875
transcript.pyannote[387].speaker SPEAKER_15
transcript.pyannote[387].start 4016.60159375
transcript.pyannote[387].end 4044.88409375
transcript.pyannote[388].speaker SPEAKER_15
transcript.pyannote[388].start 4045.35659375
transcript.pyannote[388].end 4053.89534375
transcript.pyannote[389].speaker SPEAKER_03
transcript.pyannote[389].start 4053.82784375
transcript.pyannote[389].end 4058.63721875
transcript.pyannote[390].speaker SPEAKER_15
transcript.pyannote[390].start 4057.92846875
transcript.pyannote[390].end 4058.41784375
transcript.pyannote[391].speaker SPEAKER_15
transcript.pyannote[391].start 4058.63721875
transcript.pyannote[391].end 4058.87346875
transcript.pyannote[392].speaker SPEAKER_03
transcript.pyannote[392].start 4058.87346875
transcript.pyannote[392].end 4086.10971875
transcript.pyannote[393].speaker SPEAKER_03
transcript.pyannote[393].start 4086.76784375
transcript.pyannote[393].end 4092.85971875
transcript.pyannote[394].speaker SPEAKER_15
transcript.pyannote[394].start 4092.85971875
transcript.pyannote[394].end 4116.60284375
transcript.pyannote[395].speaker SPEAKER_03
transcript.pyannote[395].start 4092.87659375
transcript.pyannote[395].end 4093.46721875
transcript.pyannote[396].speaker SPEAKER_03
transcript.pyannote[396].start 4097.56784375
transcript.pyannote[396].end 4098.63096875
transcript.pyannote[397].speaker SPEAKER_15
transcript.pyannote[397].start 4117.32846875
transcript.pyannote[397].end 4120.66971875
transcript.pyannote[398].speaker SPEAKER_15
transcript.pyannote[398].start 4121.17596875
transcript.pyannote[398].end 4123.80846875
transcript.pyannote[399].speaker SPEAKER_16
transcript.pyannote[399].start 4123.97721875
transcript.pyannote[399].end 4124.44971875
transcript.pyannote[400].speaker SPEAKER_15
transcript.pyannote[400].start 4124.63534375
transcript.pyannote[400].end 4129.44471875
transcript.pyannote[401].speaker SPEAKER_16
transcript.pyannote[401].start 4129.44471875
transcript.pyannote[401].end 4129.79909375
transcript.pyannote[402].speaker SPEAKER_15
transcript.pyannote[402].start 4129.79909375
transcript.pyannote[402].end 4143.18096875
transcript.pyannote[403].speaker SPEAKER_15
transcript.pyannote[403].start 4143.24846875
transcript.pyannote[403].end 4148.12534375
transcript.pyannote[404].speaker SPEAKER_15
transcript.pyannote[404].start 4148.68221875
transcript.pyannote[404].end 4158.18284375
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 4157.47409375
transcript.pyannote[405].end 4168.96596875
transcript.pyannote[406].speaker SPEAKER_15
transcript.pyannote[406].start 4167.46409375
transcript.pyannote[406].end 4167.91971875
transcript.pyannote[407].speaker SPEAKER_15
transcript.pyannote[407].start 4168.96596875
transcript.pyannote[407].end 4178.44971875
transcript.pyannote[408].speaker SPEAKER_03
transcript.pyannote[408].start 4171.22721875
transcript.pyannote[408].end 4171.63221875
transcript.pyannote[409].speaker SPEAKER_15
transcript.pyannote[409].start 4178.60159375
transcript.pyannote[409].end 4186.76909375
transcript.pyannote[410].speaker SPEAKER_03
transcript.pyannote[410].start 4185.14909375
transcript.pyannote[410].end 4185.26721875
transcript.pyannote[411].speaker SPEAKER_03
transcript.pyannote[411].start 4186.17846875
transcript.pyannote[411].end 4188.72659375
transcript.pyannote[412].speaker SPEAKER_10
transcript.pyannote[412].start 4192.27034375
transcript.pyannote[412].end 4195.72971875
transcript.pyannote[413].speaker SPEAKER_08
transcript.pyannote[413].start 4206.81659375
transcript.pyannote[413].end 4209.51659375
transcript.pyannote[414].speaker SPEAKER_08
transcript.pyannote[414].start 4210.07346875
transcript.pyannote[414].end 4211.57534375
transcript.pyannote[415].speaker SPEAKER_08
transcript.pyannote[415].start 4211.74409375
transcript.pyannote[415].end 4213.02659375
transcript.pyannote[416].speaker SPEAKER_08
transcript.pyannote[416].start 4219.99596875
transcript.pyannote[416].end 4222.72971875
transcript.pyannote[417].speaker SPEAKER_08
transcript.pyannote[417].start 4223.21909375
transcript.pyannote[417].end 4223.75909375
transcript.pyannote[418].speaker SPEAKER_08
transcript.pyannote[418].start 4224.72096875
transcript.pyannote[418].end 4225.96971875
transcript.pyannote[419].speaker SPEAKER_08
transcript.pyannote[419].start 4226.56034375
transcript.pyannote[419].end 4231.13346875
transcript.pyannote[420].speaker SPEAKER_08
transcript.pyannote[420].start 4232.75346875
transcript.pyannote[420].end 4234.28909375
transcript.pyannote[421].speaker SPEAKER_08
transcript.pyannote[421].start 4234.87971875
transcript.pyannote[421].end 4236.06096875
transcript.pyannote[422].speaker SPEAKER_08
transcript.pyannote[422].start 4236.80346875
transcript.pyannote[422].end 4237.47846875
transcript.pyannote[423].speaker SPEAKER_08
transcript.pyannote[423].start 4238.52471875
transcript.pyannote[423].end 4241.68034375
transcript.pyannote[424].speaker SPEAKER_08
transcript.pyannote[424].start 4243.50284375
transcript.pyannote[424].end 4245.15659375
transcript.pyannote[425].speaker SPEAKER_08
transcript.pyannote[425].start 4245.64596875
transcript.pyannote[425].end 4246.27034375
transcript.pyannote[426].speaker SPEAKER_08
transcript.pyannote[426].start 4246.60784375
transcript.pyannote[426].end 4249.81409375
transcript.pyannote[427].speaker SPEAKER_08
transcript.pyannote[427].start 4250.50596875
transcript.pyannote[427].end 4251.85596875
transcript.pyannote[428].speaker SPEAKER_08
transcript.pyannote[428].start 4252.44659375
transcript.pyannote[428].end 4254.45471875
transcript.pyannote[429].speaker SPEAKER_08
transcript.pyannote[429].start 4256.56409375
transcript.pyannote[429].end 4258.62284375
transcript.pyannote[430].speaker SPEAKER_08
transcript.pyannote[430].start 4258.96034375
transcript.pyannote[430].end 4261.72784375
transcript.pyannote[431].speaker SPEAKER_08
transcript.pyannote[431].start 4262.08221875
transcript.pyannote[431].end 4262.48721875
transcript.pyannote[432].speaker SPEAKER_08
transcript.pyannote[432].start 4263.34784375
transcript.pyannote[432].end 4264.09034375
transcript.pyannote[433].speaker SPEAKER_08
transcript.pyannote[433].start 4264.74846875
transcript.pyannote[433].end 4265.79471875
transcript.pyannote[434].speaker SPEAKER_08
transcript.pyannote[434].start 4266.87471875
transcript.pyannote[434].end 4269.77721875
transcript.pyannote[435].speaker SPEAKER_08
transcript.pyannote[435].start 4271.12721875
transcript.pyannote[435].end 4272.30846875
transcript.pyannote[436].speaker SPEAKER_08
transcript.pyannote[436].start 4273.05096875
transcript.pyannote[436].end 4274.16471875
transcript.pyannote[437].speaker SPEAKER_08
transcript.pyannote[437].start 4274.48534375
transcript.pyannote[437].end 4276.52721875
transcript.pyannote[438].speaker SPEAKER_08
transcript.pyannote[438].start 4277.79284375
transcript.pyannote[438].end 4278.60284375
transcript.pyannote[439].speaker SPEAKER_08
transcript.pyannote[439].start 4278.92346875
transcript.pyannote[439].end 4282.14659375
transcript.pyannote[440].speaker SPEAKER_03
transcript.pyannote[440].start 4283.69909375
transcript.pyannote[440].end 4283.78346875
transcript.pyannote[441].speaker SPEAKER_08
transcript.pyannote[441].start 4283.78346875
transcript.pyannote[441].end 4283.80034375
transcript.pyannote[442].speaker SPEAKER_03
transcript.pyannote[442].start 4283.80034375
transcript.pyannote[442].end 4283.85096875
transcript.pyannote[443].speaker SPEAKER_08
transcript.pyannote[443].start 4283.85096875
transcript.pyannote[443].end 4283.86784375
transcript.pyannote[444].speaker SPEAKER_03
transcript.pyannote[444].start 4283.86784375
transcript.pyannote[444].end 4292.86221875
transcript.pyannote[445].speaker SPEAKER_08
transcript.pyannote[445].start 4290.83721875
transcript.pyannote[445].end 4294.44846875
transcript.pyannote[446].speaker SPEAKER_08
transcript.pyannote[446].start 4294.90409375
transcript.pyannote[446].end 4295.95034375
transcript.pyannote[447].speaker SPEAKER_08
transcript.pyannote[447].start 4296.74346875
transcript.pyannote[447].end 4297.97534375
transcript.pyannote[448].speaker SPEAKER_08
transcript.pyannote[448].start 4298.54909375
transcript.pyannote[448].end 4301.60346875
transcript.pyannote[449].speaker SPEAKER_16
transcript.pyannote[449].start 4300.94534375
transcript.pyannote[449].end 4301.02971875
transcript.pyannote[450].speaker SPEAKER_06
transcript.pyannote[450].start 4301.02971875
transcript.pyannote[450].end 4301.45159375
transcript.pyannote[451].speaker SPEAKER_06
transcript.pyannote[451].start 4301.60346875
transcript.pyannote[451].end 4301.62034375
transcript.pyannote[452].speaker SPEAKER_08
transcript.pyannote[452].start 4301.78909375
transcript.pyannote[452].end 4302.16034375
transcript.pyannote[453].speaker SPEAKER_08
transcript.pyannote[453].start 4302.97034375
transcript.pyannote[453].end 4304.33721875
transcript.pyannote[454].speaker SPEAKER_08
transcript.pyannote[454].start 4305.21471875
transcript.pyannote[454].end 4309.87221875
transcript.pyannote[455].speaker SPEAKER_08
transcript.pyannote[455].start 4311.40784375
transcript.pyannote[455].end 4312.70721875
transcript.pyannote[456].speaker SPEAKER_16
transcript.pyannote[456].start 4312.87596875
transcript.pyannote[456].end 4313.24721875
transcript.pyannote[457].speaker SPEAKER_08
transcript.pyannote[457].start 4313.24721875
transcript.pyannote[457].end 4316.36909375
transcript.pyannote[458].speaker SPEAKER_08
transcript.pyannote[458].start 4316.62221875
transcript.pyannote[458].end 4317.85409375
transcript.pyannote[459].speaker SPEAKER_16
transcript.pyannote[459].start 4317.93846875
transcript.pyannote[459].end 4318.02284375
transcript.pyannote[460].speaker SPEAKER_08
transcript.pyannote[460].start 4318.02284375
transcript.pyannote[460].end 4318.03971875
transcript.pyannote[461].speaker SPEAKER_16
transcript.pyannote[461].start 4318.03971875
transcript.pyannote[461].end 4318.09034375
transcript.pyannote[462].speaker SPEAKER_08
transcript.pyannote[462].start 4318.66409375
transcript.pyannote[462].end 4319.06909375
transcript.pyannote[463].speaker SPEAKER_08
transcript.pyannote[463].start 4319.52471875
transcript.pyannote[463].end 4321.24596875
transcript.pyannote[464].speaker SPEAKER_03
transcript.pyannote[464].start 4322.35971875
transcript.pyannote[464].end 4323.67596875
transcript.pyannote[465].speaker SPEAKER_08
transcript.pyannote[465].start 4323.67596875
transcript.pyannote[465].end 4325.12721875
transcript.pyannote[466].speaker SPEAKER_03
transcript.pyannote[466].start 4323.72659375
transcript.pyannote[466].end 4325.54909375
transcript.pyannote[467].speaker SPEAKER_08
transcript.pyannote[467].start 4325.32971875
transcript.pyannote[467].end 4326.88221875
transcript.pyannote[468].speaker SPEAKER_08
transcript.pyannote[468].start 4327.38846875
transcript.pyannote[468].end 4327.92846875
transcript.pyannote[469].speaker SPEAKER_26
transcript.pyannote[469].start 4328.31659375
transcript.pyannote[469].end 4328.35034375
transcript.pyannote[470].speaker SPEAKER_26
transcript.pyannote[470].start 4328.55284375
transcript.pyannote[470].end 4335.52221875
transcript.pyannote[471].speaker SPEAKER_08
transcript.pyannote[471].start 4335.80909375
transcript.pyannote[471].end 4338.10409375
transcript.pyannote[472].speaker SPEAKER_08
transcript.pyannote[472].start 4338.25596875
transcript.pyannote[472].end 4344.82034375
transcript.pyannote[473].speaker SPEAKER_08
transcript.pyannote[473].start 4346.17034375
transcript.pyannote[473].end 4346.49096875
transcript.pyannote[474].speaker SPEAKER_08
transcript.pyannote[474].start 4346.86221875
transcript.pyannote[474].end 4348.39784375
transcript.pyannote[475].speaker SPEAKER_08
transcript.pyannote[475].start 4349.73096875
transcript.pyannote[475].end 4352.31284375
transcript.pyannote[476].speaker SPEAKER_08
transcript.pyannote[476].start 4352.63346875
transcript.pyannote[476].end 4355.50221875
transcript.pyannote[477].speaker SPEAKER_08
transcript.pyannote[477].start 4356.49784375
transcript.pyannote[477].end 4357.67909375
transcript.pyannote[478].speaker SPEAKER_08
transcript.pyannote[478].start 4358.30346875
transcript.pyannote[478].end 4358.89409375
transcript.pyannote[479].speaker SPEAKER_08
transcript.pyannote[479].start 4359.34971875
transcript.pyannote[479].end 4361.30721875
transcript.pyannote[480].speaker SPEAKER_16
transcript.pyannote[480].start 4361.67846875
transcript.pyannote[480].end 4361.83034375
transcript.pyannote[481].speaker SPEAKER_08
transcript.pyannote[481].start 4361.83034375
transcript.pyannote[481].end 4363.45034375
transcript.pyannote[482].speaker SPEAKER_08
transcript.pyannote[482].start 4365.01971875
transcript.pyannote[482].end 4366.26846875
transcript.pyannote[483].speaker SPEAKER_08
transcript.pyannote[483].start 4366.52159375
transcript.pyannote[483].end 4375.12784375
transcript.pyannote[484].speaker SPEAKER_08
transcript.pyannote[484].start 4375.44846875
transcript.pyannote[484].end 4376.71409375
transcript.pyannote[485].speaker SPEAKER_08
transcript.pyannote[485].start 4376.91659375
transcript.pyannote[485].end 4378.23284375
transcript.pyannote[486].speaker SPEAKER_08
transcript.pyannote[486].start 4378.94159375
transcript.pyannote[486].end 4381.21971875
transcript.pyannote[487].speaker SPEAKER_08
transcript.pyannote[487].start 4381.74284375
transcript.pyannote[487].end 4382.68784375
transcript.pyannote[488].speaker SPEAKER_08
transcript.pyannote[488].start 4382.89034375
transcript.pyannote[488].end 4384.99971875
transcript.pyannote[489].speaker SPEAKER_03
transcript.pyannote[489].start 4385.26971875
transcript.pyannote[489].end 4387.96971875
transcript.pyannote[490].speaker SPEAKER_08
transcript.pyannote[490].start 4386.70409375
transcript.pyannote[490].end 4387.02471875
transcript.pyannote[491].speaker SPEAKER_08
transcript.pyannote[491].start 4388.29034375
transcript.pyannote[491].end 4391.47971875
transcript.pyannote[492].speaker SPEAKER_08
transcript.pyannote[492].start 4391.96909375
transcript.pyannote[492].end 4392.93096875
transcript.pyannote[493].speaker SPEAKER_08
transcript.pyannote[493].start 4393.67346875
transcript.pyannote[493].end 4394.43284375
transcript.pyannote[494].speaker SPEAKER_08
transcript.pyannote[494].start 4395.24284375
transcript.pyannote[494].end 4396.30596875
transcript.pyannote[495].speaker SPEAKER_08
transcript.pyannote[495].start 4396.77846875
transcript.pyannote[495].end 4398.31409375
transcript.pyannote[496].speaker SPEAKER_08
transcript.pyannote[496].start 4399.46159375
transcript.pyannote[496].end 4404.05159375
transcript.pyannote[497].speaker SPEAKER_08
transcript.pyannote[497].start 4404.92909375
transcript.pyannote[497].end 4406.53221875
transcript.pyannote[498].speaker SPEAKER_08
transcript.pyannote[498].start 4407.59534375
transcript.pyannote[498].end 4408.74284375
transcript.pyannote[499].speaker SPEAKER_08
transcript.pyannote[499].start 4409.77221875
transcript.pyannote[499].end 4415.99909375
transcript.pyannote[500].speaker SPEAKER_16
transcript.pyannote[500].start 4415.30721875
transcript.pyannote[500].end 4415.94846875
transcript.pyannote[501].speaker SPEAKER_16
transcript.pyannote[501].start 4415.99909375
transcript.pyannote[501].end 4416.08346875
transcript.pyannote[502].speaker SPEAKER_08
transcript.pyannote[502].start 4416.08346875
transcript.pyannote[502].end 4416.91034375
transcript.pyannote[503].speaker SPEAKER_16
transcript.pyannote[503].start 4416.18471875
transcript.pyannote[503].end 4416.47159375
transcript.pyannote[504].speaker SPEAKER_16
transcript.pyannote[504].start 4416.97784375
transcript.pyannote[504].end 4417.23096875
transcript.pyannote[505].speaker SPEAKER_08
transcript.pyannote[505].start 4417.72034375
transcript.pyannote[505].end 4420.67346875
transcript.pyannote[506].speaker SPEAKER_08
transcript.pyannote[506].start 4421.71971875
transcript.pyannote[506].end 4423.03596875
transcript.pyannote[507].speaker SPEAKER_08
transcript.pyannote[507].start 4423.57596875
transcript.pyannote[507].end 4425.16221875
transcript.pyannote[508].speaker SPEAKER_08
transcript.pyannote[508].start 4425.63471875
transcript.pyannote[508].end 4426.74846875
transcript.pyannote[509].speaker SPEAKER_08
transcript.pyannote[509].start 4426.88346875
transcript.pyannote[509].end 4429.49909375
transcript.pyannote[510].speaker SPEAKER_08
transcript.pyannote[510].start 4430.74784375
transcript.pyannote[510].end 4432.31721875
transcript.pyannote[511].speaker SPEAKER_08
transcript.pyannote[511].start 4432.75596875
transcript.pyannote[511].end 4434.02159375
transcript.pyannote[512].speaker SPEAKER_08
transcript.pyannote[512].start 4434.98346875
transcript.pyannote[512].end 4438.39221875
transcript.pyannote[513].speaker SPEAKER_08
transcript.pyannote[513].start 4438.83096875
transcript.pyannote[513].end 4438.94909375
transcript.pyannote[514].speaker SPEAKER_16
transcript.pyannote[514].start 4438.94909375
transcript.pyannote[514].end 4439.03346875
transcript.pyannote[515].speaker SPEAKER_08
transcript.pyannote[515].start 4440.04596875
transcript.pyannote[515].end 4440.21471875
transcript.pyannote[516].speaker SPEAKER_03
transcript.pyannote[516].start 4440.09659375
transcript.pyannote[516].end 4440.14721875
transcript.pyannote[517].speaker SPEAKER_03
transcript.pyannote[517].start 4440.21471875
transcript.pyannote[517].end 4446.67784375
transcript.pyannote[518].speaker SPEAKER_03
transcript.pyannote[518].start 4446.89721875
transcript.pyannote[518].end 4457.49471875
transcript.pyannote[519].speaker SPEAKER_03
transcript.pyannote[519].start 4457.52846875
transcript.pyannote[519].end 4469.15534375
transcript.pyannote[520].speaker SPEAKER_08
transcript.pyannote[520].start 4467.92346875
transcript.pyannote[520].end 4470.89346875
transcript.pyannote[521].speaker SPEAKER_03
transcript.pyannote[521].start 4469.23971875
transcript.pyannote[521].end 4469.25659375
transcript.pyannote[522].speaker SPEAKER_03
transcript.pyannote[522].start 4469.34096875
transcript.pyannote[522].end 4469.47596875
transcript.pyannote[523].speaker SPEAKER_03
transcript.pyannote[523].start 4470.38721875
transcript.pyannote[523].end 4481.35596875
transcript.pyannote[524].speaker SPEAKER_08
transcript.pyannote[524].start 4481.37284375
transcript.pyannote[524].end 4482.85784375
transcript.pyannote[525].speaker SPEAKER_08
transcript.pyannote[525].start 4483.21221875
transcript.pyannote[525].end 4483.93784375
transcript.pyannote[526].speaker SPEAKER_08
transcript.pyannote[526].start 4484.49471875
transcript.pyannote[526].end 4485.77721875
transcript.pyannote[527].speaker SPEAKER_16
transcript.pyannote[527].start 4486.06409375
transcript.pyannote[527].end 4486.24971875
transcript.pyannote[528].speaker SPEAKER_08
transcript.pyannote[528].start 4486.33409375
transcript.pyannote[528].end 4487.17784375
transcript.pyannote[529].speaker SPEAKER_08
transcript.pyannote[529].start 4487.44784375
transcript.pyannote[529].end 4489.50659375
transcript.pyannote[530].speaker SPEAKER_08
transcript.pyannote[530].start 4490.04659375
transcript.pyannote[530].end 4492.37534375
transcript.pyannote[531].speaker SPEAKER_08
transcript.pyannote[531].start 4492.84784375
transcript.pyannote[531].end 4496.94846875
transcript.pyannote[532].speaker SPEAKER_08
transcript.pyannote[532].start 4497.35346875
transcript.pyannote[532].end 4498.26471875
transcript.pyannote[533].speaker SPEAKER_08
transcript.pyannote[533].start 4498.51784375
transcript.pyannote[533].end 4500.08721875
transcript.pyannote[534].speaker SPEAKER_08
transcript.pyannote[534].start 4501.06596875
transcript.pyannote[534].end 4501.70721875
transcript.pyannote[535].speaker SPEAKER_08
transcript.pyannote[535].start 4502.58471875
transcript.pyannote[535].end 4503.04034375
transcript.pyannote[536].speaker SPEAKER_08
transcript.pyannote[536].start 4503.68159375
transcript.pyannote[536].end 4511.27534375
transcript.pyannote[537].speaker SPEAKER_08
transcript.pyannote[537].start 4511.64659375
transcript.pyannote[537].end 4516.70909375
transcript.pyannote[538].speaker SPEAKER_08
transcript.pyannote[538].start 4517.56971875
transcript.pyannote[538].end 4519.67909375
transcript.pyannote[539].speaker SPEAKER_08
transcript.pyannote[539].start 4520.32034375
transcript.pyannote[539].end 4522.22721875
transcript.pyannote[540].speaker SPEAKER_08
transcript.pyannote[540].start 4522.86846875
transcript.pyannote[540].end 4523.27346875
transcript.pyannote[541].speaker SPEAKER_08
transcript.pyannote[541].start 4523.52659375
transcript.pyannote[541].end 4523.96534375
transcript.pyannote[542].speaker SPEAKER_03
transcript.pyannote[542].start 4523.96534375
transcript.pyannote[542].end 4548.36659375
transcript.pyannote[543].speaker SPEAKER_08
transcript.pyannote[543].start 4547.01659375
transcript.pyannote[543].end 4547.03346875
transcript.pyannote[544].speaker SPEAKER_08
transcript.pyannote[544].start 4547.15159375
transcript.pyannote[544].end 4553.24346875
transcript.pyannote[545].speaker SPEAKER_08
transcript.pyannote[545].start 4553.59784375
transcript.pyannote[545].end 4555.55534375
transcript.pyannote[546].speaker SPEAKER_08
transcript.pyannote[546].start 4556.73659375
transcript.pyannote[546].end 4559.70659375
transcript.pyannote[547].speaker SPEAKER_08
transcript.pyannote[547].start 4560.16221875
transcript.pyannote[547].end 4560.63471875
transcript.pyannote[548].speaker SPEAKER_08
transcript.pyannote[548].start 4561.24221875
transcript.pyannote[548].end 4565.59596875
transcript.pyannote[549].speaker SPEAKER_16
transcript.pyannote[549].start 4565.81534375
transcript.pyannote[549].end 4566.32159375
transcript.pyannote[550].speaker SPEAKER_08
transcript.pyannote[550].start 4566.23721875
transcript.pyannote[550].end 4567.24971875
transcript.pyannote[551].speaker SPEAKER_08
transcript.pyannote[551].start 4567.77284375
transcript.pyannote[551].end 4571.68784375
transcript.pyannote[552].speaker SPEAKER_08
transcript.pyannote[552].start 4572.17721875
transcript.pyannote[552].end 4573.03784375
transcript.pyannote[553].speaker SPEAKER_03
transcript.pyannote[553].start 4572.26159375
transcript.pyannote[553].end 4572.36284375
transcript.pyannote[554].speaker SPEAKER_03
transcript.pyannote[554].start 4573.03784375
transcript.pyannote[554].end 4574.38784375
transcript.pyannote[555].speaker SPEAKER_08
transcript.pyannote[555].start 4574.38784375
transcript.pyannote[555].end 4574.40471875
transcript.pyannote[556].speaker SPEAKER_08
transcript.pyannote[556].start 4574.52284375
transcript.pyannote[556].end 4574.87721875
transcript.pyannote[557].speaker SPEAKER_08
transcript.pyannote[557].start 4575.72096875
transcript.pyannote[557].end 4582.30221875
transcript.pyannote[558].speaker SPEAKER_08
transcript.pyannote[558].start 4582.79159375
transcript.pyannote[558].end 4587.12846875
transcript.pyannote[559].speaker SPEAKER_08
transcript.pyannote[559].start 4587.16221875
transcript.pyannote[559].end 4588.05659375
transcript.pyannote[560].speaker SPEAKER_08
transcript.pyannote[560].start 4588.56284375
transcript.pyannote[560].end 4589.82846875
transcript.pyannote[561].speaker SPEAKER_08
transcript.pyannote[561].start 4590.28409375
transcript.pyannote[561].end 4593.23721875
transcript.pyannote[562].speaker SPEAKER_08
transcript.pyannote[562].start 4593.89534375
transcript.pyannote[562].end 4595.81909375
transcript.pyannote[563].speaker SPEAKER_08
transcript.pyannote[563].start 4595.88659375
transcript.pyannote[563].end 4596.74721875
transcript.pyannote[564].speaker SPEAKER_08
transcript.pyannote[564].start 4597.64159375
transcript.pyannote[564].end 4598.72159375
transcript.pyannote[565].speaker SPEAKER_08
transcript.pyannote[565].start 4599.34596875
transcript.pyannote[565].end 4600.57784375
transcript.pyannote[566].speaker SPEAKER_08
transcript.pyannote[566].start 4600.89846875
transcript.pyannote[566].end 4605.04971875
transcript.pyannote[567].speaker SPEAKER_08
transcript.pyannote[567].start 4605.80909375
transcript.pyannote[567].end 4610.53409375
transcript.pyannote[568].speaker SPEAKER_08
transcript.pyannote[568].start 4610.92221875
transcript.pyannote[568].end 4612.54221875
transcript.pyannote[569].speaker SPEAKER_03
transcript.pyannote[569].start 4611.66471875
transcript.pyannote[569].end 4611.74909375
transcript.pyannote[570].speaker SPEAKER_03
transcript.pyannote[570].start 4611.76596875
transcript.pyannote[570].end 4611.93471875
transcript.pyannote[571].speaker SPEAKER_03
transcript.pyannote[571].start 4612.05284375
transcript.pyannote[571].end 4613.65596875
transcript.pyannote[572].speaker SPEAKER_08
transcript.pyannote[572].start 4613.28471875
transcript.pyannote[572].end 4613.50409375
transcript.pyannote[573].speaker SPEAKER_03
transcript.pyannote[573].start 4613.92596875
transcript.pyannote[573].end 4614.85409375
transcript.pyannote[574].speaker SPEAKER_08
transcript.pyannote[574].start 4614.85409375
transcript.pyannote[574].end 4618.58346875
transcript.pyannote[575].speaker SPEAKER_03
transcript.pyannote[575].start 4614.97221875
transcript.pyannote[575].end 4615.19159375
transcript.pyannote[576].speaker SPEAKER_03
transcript.pyannote[576].start 4615.27596875
transcript.pyannote[576].end 4618.51596875
transcript.pyannote[577].speaker SPEAKER_08
transcript.pyannote[577].start 4618.97159375
transcript.pyannote[577].end 4626.85221875
transcript.pyannote[578].speaker SPEAKER_08
transcript.pyannote[578].start 4627.32471875
transcript.pyannote[578].end 4631.25659375
transcript.pyannote[579].speaker SPEAKER_08
transcript.pyannote[579].start 4631.83034375
transcript.pyannote[579].end 4634.37846875
transcript.pyannote[580].speaker SPEAKER_08
transcript.pyannote[580].start 4634.86784375
transcript.pyannote[580].end 4637.23034375
transcript.pyannote[581].speaker SPEAKER_03
transcript.pyannote[581].start 4637.90534375
transcript.pyannote[581].end 4638.86721875
transcript.pyannote[582].speaker SPEAKER_08
transcript.pyannote[582].start 4638.86721875
transcript.pyannote[582].end 4638.91784375
transcript.pyannote[583].speaker SPEAKER_03
transcript.pyannote[583].start 4638.91784375
transcript.pyannote[583].end 4638.93471875
transcript.pyannote[584].speaker SPEAKER_08
transcript.pyannote[584].start 4638.93471875
transcript.pyannote[584].end 4638.96846875
transcript.pyannote[585].speaker SPEAKER_03
transcript.pyannote[585].start 4638.96846875
transcript.pyannote[585].end 4638.98534375
transcript.pyannote[586].speaker SPEAKER_08
transcript.pyannote[586].start 4638.98534375
transcript.pyannote[586].end 4641.55034375
transcript.pyannote[587].speaker SPEAKER_03
transcript.pyannote[587].start 4639.12034375
transcript.pyannote[587].end 4643.64284375
transcript.pyannote[588].speaker SPEAKER_08
transcript.pyannote[588].start 4641.98909375
transcript.pyannote[588].end 4643.62596875
transcript.pyannote[589].speaker SPEAKER_10
transcript.pyannote[589].start 4645.70159375
transcript.pyannote[589].end 4649.70096875
transcript.pyannote[590].speaker SPEAKER_01
transcript.pyannote[590].start 4654.71284375
transcript.pyannote[590].end 4660.46721875
transcript.pyannote[591].speaker SPEAKER_10
transcript.pyannote[591].start 4660.72034375
transcript.pyannote[591].end 4661.32784375
transcript.pyannote[592].speaker SPEAKER_01
transcript.pyannote[592].start 4661.09159375
transcript.pyannote[592].end 4662.13784375
transcript.pyannote[593].speaker SPEAKER_10
transcript.pyannote[593].start 4662.40784375
transcript.pyannote[593].end 4664.43284375
transcript.pyannote[594].speaker SPEAKER_10
transcript.pyannote[594].start 4664.90534375
transcript.pyannote[594].end 4666.72784375
transcript.pyannote[595].speaker SPEAKER_07
transcript.pyannote[595].start 4668.56721875
transcript.pyannote[595].end 4669.09034375
transcript.pyannote[596].speaker SPEAKER_01
transcript.pyannote[596].start 4669.64721875
transcript.pyannote[596].end 4669.88346875
transcript.pyannote[597].speaker SPEAKER_01
transcript.pyannote[597].start 4670.20409375
transcript.pyannote[597].end 4671.62159375
transcript.pyannote[598].speaker SPEAKER_01
transcript.pyannote[598].start 4672.14471875
transcript.pyannote[598].end 4710.65346875
transcript.pyannote[599].speaker SPEAKER_01
transcript.pyannote[599].start 4711.56471875
transcript.pyannote[599].end 4741.36596875
transcript.pyannote[600].speaker SPEAKER_01
transcript.pyannote[600].start 4742.42909375
transcript.pyannote[600].end 4787.45159375
transcript.pyannote[601].speaker SPEAKER_01
transcript.pyannote[601].start 4788.22784375
transcript.pyannote[601].end 4789.18971875
transcript.pyannote[602].speaker SPEAKER_01
transcript.pyannote[602].start 4789.74659375
transcript.pyannote[602].end 4792.31159375
transcript.pyannote[603].speaker SPEAKER_01
transcript.pyannote[603].start 4792.73346875
transcript.pyannote[603].end 4798.74096875
transcript.pyannote[604].speaker SPEAKER_01
transcript.pyannote[604].start 4799.71971875
transcript.pyannote[604].end 4801.44096875
transcript.pyannote[605].speaker SPEAKER_01
transcript.pyannote[605].start 4802.70659375
transcript.pyannote[605].end 4816.94909375
transcript.pyannote[606].speaker SPEAKER_05
transcript.pyannote[606].start 4817.80971875
transcript.pyannote[606].end 4832.60909375
transcript.pyannote[607].speaker SPEAKER_01
transcript.pyannote[607].start 4830.61784375
transcript.pyannote[607].end 4833.18284375
transcript.pyannote[608].speaker SPEAKER_05
transcript.pyannote[608].start 4833.14909375
transcript.pyannote[608].end 4842.98721875
transcript.pyannote[609].speaker SPEAKER_01
transcript.pyannote[609].start 4842.98721875
transcript.pyannote[609].end 4847.02034375
transcript.pyannote[610].speaker SPEAKER_05
transcript.pyannote[610].start 4843.62846875
transcript.pyannote[610].end 4844.03346875
transcript.pyannote[611].speaker SPEAKER_05
transcript.pyannote[611].start 4846.98659375
transcript.pyannote[611].end 4847.27346875
transcript.pyannote[612].speaker SPEAKER_16
transcript.pyannote[612].start 4847.27346875
transcript.pyannote[612].end 4847.32409375
transcript.pyannote[613].speaker SPEAKER_01
transcript.pyannote[613].start 4847.40846875
transcript.pyannote[613].end 4852.94346875
transcript.pyannote[614].speaker SPEAKER_01
transcript.pyannote[614].start 4853.36534375
transcript.pyannote[614].end 4875.37034375
transcript.pyannote[615].speaker SPEAKER_01
transcript.pyannote[615].start 4876.23096875
transcript.pyannote[615].end 4893.54471875
transcript.pyannote[616].speaker SPEAKER_01
transcript.pyannote[616].start 4894.15221875
transcript.pyannote[616].end 4916.41034375
transcript.pyannote[617].speaker SPEAKER_16
transcript.pyannote[617].start 4901.59409375
transcript.pyannote[617].end 4902.01596875
transcript.pyannote[618].speaker SPEAKER_01
transcript.pyannote[618].start 4916.93346875
transcript.pyannote[618].end 4919.17784375
transcript.pyannote[619].speaker SPEAKER_05
transcript.pyannote[619].start 4919.38034375
transcript.pyannote[619].end 4931.90159375
transcript.pyannote[620].speaker SPEAKER_01
transcript.pyannote[620].start 4930.26471875
transcript.pyannote[620].end 4932.64409375
transcript.pyannote[621].speaker SPEAKER_01
transcript.pyannote[621].start 4933.16721875
transcript.pyannote[621].end 4937.01471875
transcript.pyannote[622].speaker SPEAKER_05
transcript.pyannote[622].start 4933.30221875
transcript.pyannote[622].end 4934.50034375
transcript.pyannote[623].speaker SPEAKER_05
transcript.pyannote[623].start 4936.62659375
transcript.pyannote[623].end 4946.68409375
transcript.pyannote[624].speaker SPEAKER_01
transcript.pyannote[624].start 4943.79846875
transcript.pyannote[624].end 4945.43534375
transcript.pyannote[625].speaker SPEAKER_01
transcript.pyannote[625].start 4946.68409375
transcript.pyannote[625].end 4952.48909375
transcript.pyannote[626].speaker SPEAKER_05
transcript.pyannote[626].start 4948.28721875
transcript.pyannote[626].end 4948.75971875
transcript.pyannote[627].speaker SPEAKER_01
transcript.pyannote[627].start 4952.69159375
transcript.pyannote[627].end 4954.21034375
transcript.pyannote[628].speaker SPEAKER_01
transcript.pyannote[628].start 4954.88534375
transcript.pyannote[628].end 4956.38721875
transcript.pyannote[629].speaker SPEAKER_01
transcript.pyannote[629].start 4956.70784375
transcript.pyannote[629].end 4967.59221875
transcript.pyannote[630].speaker SPEAKER_05
transcript.pyannote[630].start 4967.74409375
transcript.pyannote[630].end 4970.86596875
transcript.pyannote[631].speaker SPEAKER_01
transcript.pyannote[631].start 4968.97596875
transcript.pyannote[631].end 4969.81971875
transcript.pyannote[632].speaker SPEAKER_01
transcript.pyannote[632].start 4970.22471875
transcript.pyannote[632].end 4988.82096875
transcript.pyannote[633].speaker SPEAKER_05
transcript.pyannote[633].start 4972.06409375
transcript.pyannote[633].end 4973.27909375
transcript.pyannote[634].speaker SPEAKER_05
transcript.pyannote[634].start 4988.82096875
transcript.pyannote[634].end 4997.12346875
transcript.pyannote[635].speaker SPEAKER_01
transcript.pyannote[635].start 4997.20784375
transcript.pyannote[635].end 5018.90909375
transcript.pyannote[636].speaker SPEAKER_16
transcript.pyannote[636].start 5018.90909375
transcript.pyannote[636].end 5019.33096875
transcript.pyannote[637].speaker SPEAKER_01
transcript.pyannote[637].start 5019.44909375
transcript.pyannote[637].end 5027.41409375
transcript.pyannote[638].speaker SPEAKER_16
transcript.pyannote[638].start 5019.53346875
transcript.pyannote[638].end 5020.00596875
transcript.pyannote[639].speaker SPEAKER_16
transcript.pyannote[639].start 5024.95034375
transcript.pyannote[639].end 5025.50721875
transcript.pyannote[640].speaker SPEAKER_01
transcript.pyannote[640].start 5027.97096875
transcript.pyannote[640].end 5030.08034375
transcript.pyannote[641].speaker SPEAKER_01
transcript.pyannote[641].start 5031.64971875
transcript.pyannote[641].end 5032.44284375
transcript.pyannote[642].speaker SPEAKER_01
transcript.pyannote[642].start 5032.86471875
transcript.pyannote[642].end 5044.82909375
transcript.pyannote[643].speaker SPEAKER_01
transcript.pyannote[643].start 5045.65596875
transcript.pyannote[643].end 5048.59221875
transcript.pyannote[644].speaker SPEAKER_01
transcript.pyannote[644].start 5048.69346875
transcript.pyannote[644].end 5052.49034375
transcript.pyannote[645].speaker SPEAKER_16
transcript.pyannote[645].start 5051.20784375
transcript.pyannote[645].end 5051.34284375
transcript.pyannote[646].speaker SPEAKER_16
transcript.pyannote[646].start 5052.49034375
transcript.pyannote[646].end 5052.57471875
transcript.pyannote[647].speaker SPEAKER_01
transcript.pyannote[647].start 5052.57471875
transcript.pyannote[647].end 5056.57409375
transcript.pyannote[648].speaker SPEAKER_01
transcript.pyannote[648].start 5057.58659375
transcript.pyannote[648].end 5062.56471875
transcript.pyannote[649].speaker SPEAKER_01
transcript.pyannote[649].start 5064.06659375
transcript.pyannote[649].end 5066.05784375
transcript.pyannote[650].speaker SPEAKER_05
transcript.pyannote[650].start 5066.05784375
transcript.pyannote[650].end 5067.34034375
transcript.pyannote[651].speaker SPEAKER_01
transcript.pyannote[651].start 5066.39534375
transcript.pyannote[651].end 5069.43284375
transcript.pyannote[652].speaker SPEAKER_05
transcript.pyannote[652].start 5070.19221875
transcript.pyannote[652].end 5073.06096875
transcript.pyannote[653].speaker SPEAKER_01
transcript.pyannote[653].start 5071.74471875
transcript.pyannote[653].end 5072.79096875
transcript.pyannote[654].speaker SPEAKER_01
transcript.pyannote[654].start 5073.06096875
transcript.pyannote[654].end 5076.25034375
transcript.pyannote[655].speaker SPEAKER_01
transcript.pyannote[655].start 5076.45284375
transcript.pyannote[655].end 5079.43971875
transcript.pyannote[656].speaker SPEAKER_01
transcript.pyannote[656].start 5079.97971875
transcript.pyannote[656].end 5090.27346875
transcript.pyannote[657].speaker SPEAKER_01
transcript.pyannote[657].start 5090.71221875
transcript.pyannote[657].end 5091.48846875
transcript.pyannote[658].speaker SPEAKER_01
transcript.pyannote[658].start 5092.50096875
transcript.pyannote[658].end 5093.32784375
transcript.pyannote[659].speaker SPEAKER_01
transcript.pyannote[659].start 5094.98159375
transcript.pyannote[659].end 5095.38659375
transcript.pyannote[660].speaker SPEAKER_03
transcript.pyannote[660].start 5095.97721875
transcript.pyannote[660].end 5098.91346875
transcript.pyannote[661].speaker SPEAKER_01
transcript.pyannote[661].start 5099.28471875
transcript.pyannote[661].end 5114.15159375
transcript.pyannote[662].speaker SPEAKER_01
transcript.pyannote[662].start 5115.56909375
transcript.pyannote[662].end 5116.49721875
transcript.pyannote[663].speaker SPEAKER_01
transcript.pyannote[663].start 5117.05409375
transcript.pyannote[663].end 5118.64034375
transcript.pyannote[664].speaker SPEAKER_01
transcript.pyannote[664].start 5118.94409375
transcript.pyannote[664].end 5143.14284375
transcript.pyannote[665].speaker SPEAKER_01
transcript.pyannote[665].start 5143.48034375
transcript.pyannote[665].end 5149.45409375
transcript.pyannote[666].speaker SPEAKER_01
transcript.pyannote[666].start 5149.63971875
transcript.pyannote[666].end 5150.51721875
transcript.pyannote[667].speaker SPEAKER_01
transcript.pyannote[667].start 5151.81659375
transcript.pyannote[667].end 5161.75596875
transcript.pyannote[668].speaker SPEAKER_01
transcript.pyannote[668].start 5162.59971875
transcript.pyannote[668].end 5175.28971875
transcript.pyannote[669].speaker SPEAKER_01
transcript.pyannote[669].start 5176.33596875
transcript.pyannote[669].end 5183.60909375
transcript.pyannote[670].speaker SPEAKER_16
transcript.pyannote[670].start 5179.17096875
transcript.pyannote[670].end 5179.50846875
transcript.pyannote[671].speaker SPEAKER_01
transcript.pyannote[671].start 5184.06471875
transcript.pyannote[671].end 5193.19409375
transcript.pyannote[672].speaker SPEAKER_16
transcript.pyannote[672].start 5185.63409375
transcript.pyannote[672].end 5186.12346875
transcript.pyannote[673].speaker SPEAKER_00
transcript.pyannote[673].start 5186.12346875
transcript.pyannote[673].end 5186.20784375
transcript.pyannote[674].speaker SPEAKER_00
transcript.pyannote[674].start 5186.76471875
transcript.pyannote[674].end 5186.78159375
transcript.pyannote[675].speaker SPEAKER_16
transcript.pyannote[675].start 5186.79846875
transcript.pyannote[675].end 5186.96721875
transcript.pyannote[676].speaker SPEAKER_00
transcript.pyannote[676].start 5186.96721875
transcript.pyannote[676].end 5187.18659375
transcript.pyannote[677].speaker SPEAKER_01
transcript.pyannote[677].start 5193.80159375
transcript.pyannote[677].end 5197.73346875
transcript.pyannote[678].speaker SPEAKER_05
transcript.pyannote[678].start 5197.88534375
transcript.pyannote[678].end 5217.40971875
transcript.pyannote[679].speaker SPEAKER_01
transcript.pyannote[679].start 5214.99659375
transcript.pyannote[679].end 5229.69471875
transcript.pyannote[680].speaker SPEAKER_16
transcript.pyannote[680].start 5229.57659375
transcript.pyannote[680].end 5230.40346875
transcript.pyannote[681].speaker SPEAKER_01
transcript.pyannote[681].start 5229.99846875
transcript.pyannote[681].end 5242.13159375
transcript.pyannote[682].speaker SPEAKER_16
transcript.pyannote[682].start 5232.14159375
transcript.pyannote[682].end 5232.51284375
transcript.pyannote[683].speaker SPEAKER_01
transcript.pyannote[683].start 5242.38471875
transcript.pyannote[683].end 5243.90346875
transcript.pyannote[684].speaker SPEAKER_01
transcript.pyannote[684].start 5244.71346875
transcript.pyannote[684].end 5245.35471875
transcript.pyannote[685].speaker SPEAKER_01
transcript.pyannote[685].start 5245.86096875
transcript.pyannote[685].end 5254.02846875
transcript.pyannote[686].speaker SPEAKER_01
transcript.pyannote[686].start 5254.16346875
transcript.pyannote[686].end 5255.69909375
transcript.pyannote[687].speaker SPEAKER_01
transcript.pyannote[687].start 5256.22221875
transcript.pyannote[687].end 5264.94659375
transcript.pyannote[688].speaker SPEAKER_01
transcript.pyannote[688].start 5265.04784375
transcript.pyannote[688].end 5273.04659375
transcript.pyannote[689].speaker SPEAKER_16
transcript.pyannote[689].start 5265.21659375
transcript.pyannote[689].end 5265.30096875
transcript.pyannote[690].speaker SPEAKER_01
transcript.pyannote[690].start 5273.65409375
transcript.pyannote[690].end 5278.21034375
transcript.pyannote[691].speaker SPEAKER_05
transcript.pyannote[691].start 5276.80971875
transcript.pyannote[691].end 5277.61971875
transcript.pyannote[692].speaker SPEAKER_05
transcript.pyannote[692].start 5278.21034375
transcript.pyannote[692].end 5288.85846875
transcript.pyannote[693].speaker SPEAKER_01
transcript.pyannote[693].start 5287.25534375
transcript.pyannote[693].end 5304.88971875
transcript.pyannote[694].speaker SPEAKER_22
transcript.pyannote[694].start 5294.08971875
transcript.pyannote[694].end 5295.06846875
transcript.pyannote[695].speaker SPEAKER_16
transcript.pyannote[695].start 5295.06846875
transcript.pyannote[695].end 5295.08534375
transcript.pyannote[696].speaker SPEAKER_05
transcript.pyannote[696].start 5300.24909375
transcript.pyannote[696].end 5300.92409375
transcript.pyannote[697].speaker SPEAKER_05
transcript.pyannote[697].start 5304.97409375
transcript.pyannote[697].end 5308.45034375
transcript.pyannote[698].speaker SPEAKER_01
transcript.pyannote[698].start 5307.62346875
transcript.pyannote[698].end 5311.23471875
transcript.pyannote[699].speaker SPEAKER_05
transcript.pyannote[699].start 5308.58534375
transcript.pyannote[699].end 5313.88409375
transcript.pyannote[700].speaker SPEAKER_01
transcript.pyannote[700].start 5312.70284375
transcript.pyannote[700].end 5316.58409375
transcript.pyannote[701].speaker SPEAKER_05
transcript.pyannote[701].start 5316.97221875
transcript.pyannote[701].end 5318.57534375
transcript.pyannote[702].speaker SPEAKER_01
transcript.pyannote[702].start 5319.09846875
transcript.pyannote[702].end 5325.17346875
transcript.pyannote[703].speaker SPEAKER_05
transcript.pyannote[703].start 5320.16159375
transcript.pyannote[703].end 5320.49909375
transcript.pyannote[704].speaker SPEAKER_05
transcript.pyannote[704].start 5321.81534375
transcript.pyannote[704].end 5322.27096875
transcript.pyannote[705].speaker SPEAKER_01
transcript.pyannote[705].start 5325.59534375
transcript.pyannote[705].end 5329.64534375
transcript.pyannote[706].speaker SPEAKER_05
transcript.pyannote[706].start 5326.72596875
transcript.pyannote[706].end 5326.96221875
transcript.pyannote[707].speaker SPEAKER_16
transcript.pyannote[707].start 5326.96221875
transcript.pyannote[707].end 5327.16471875
transcript.pyannote[708].speaker SPEAKER_01
transcript.pyannote[708].start 5329.71284375
transcript.pyannote[708].end 5334.62346875
transcript.pyannote[709].speaker SPEAKER_16
transcript.pyannote[709].start 5329.74659375
transcript.pyannote[709].end 5330.05034375
transcript.pyannote[710].speaker SPEAKER_16
transcript.pyannote[710].start 5334.62346875
transcript.pyannote[710].end 5334.91034375
transcript.pyannote[711].speaker SPEAKER_01
transcript.pyannote[711].start 5334.91034375
transcript.pyannote[711].end 5341.44096875
transcript.pyannote[712].speaker SPEAKER_01
transcript.pyannote[712].start 5341.89659375
transcript.pyannote[712].end 5343.76971875
transcript.pyannote[713].speaker SPEAKER_01
transcript.pyannote[713].start 5344.71471875
transcript.pyannote[713].end 5345.33909375
transcript.pyannote[714].speaker SPEAKER_01
transcript.pyannote[714].start 5345.69346875
transcript.pyannote[714].end 5351.02596875
transcript.pyannote[715].speaker SPEAKER_01
transcript.pyannote[715].start 5351.26221875
transcript.pyannote[715].end 5361.53909375
transcript.pyannote[716].speaker SPEAKER_01
transcript.pyannote[716].start 5362.21409375
transcript.pyannote[716].end 5369.95971875
transcript.pyannote[717].speaker SPEAKER_03
transcript.pyannote[717].start 5370.85409375
transcript.pyannote[717].end 5373.40221875
transcript.pyannote[718].speaker SPEAKER_01
transcript.pyannote[718].start 5373.40221875
transcript.pyannote[718].end 5374.56659375
transcript.pyannote[719].speaker SPEAKER_03
transcript.pyannote[719].start 5374.29659375
transcript.pyannote[719].end 5374.75221875
transcript.pyannote[720].speaker SPEAKER_01
transcript.pyannote[720].start 5374.75221875
transcript.pyannote[720].end 5378.92034375
transcript.pyannote[721].speaker SPEAKER_03
transcript.pyannote[721].start 5379.35909375
transcript.pyannote[721].end 5379.37596875
transcript.pyannote[722].speaker SPEAKER_16
transcript.pyannote[722].start 5379.37596875
transcript.pyannote[722].end 5379.83159375
transcript.pyannote[723].speaker SPEAKER_01
transcript.pyannote[723].start 5379.44346875
transcript.pyannote[723].end 5386.56471875
transcript.pyannote[724].speaker SPEAKER_16
transcript.pyannote[724].start 5385.23159375
transcript.pyannote[724].end 5386.76721875
transcript.pyannote[725].speaker SPEAKER_01
transcript.pyannote[725].start 5386.81784375
transcript.pyannote[725].end 5406.29159375
transcript.pyannote[726].speaker SPEAKER_16
transcript.pyannote[726].start 5400.82409375
transcript.pyannote[726].end 5400.97596875
transcript.pyannote[727].speaker SPEAKER_00
transcript.pyannote[727].start 5400.97596875
transcript.pyannote[727].end 5400.99284375
transcript.pyannote[728].speaker SPEAKER_01
transcript.pyannote[728].start 5406.30846875
transcript.pyannote[728].end 5425.56284375
transcript.pyannote[729].speaker SPEAKER_00
transcript.pyannote[729].start 5414.37471875
transcript.pyannote[729].end 5414.49284375
transcript.pyannote[730].speaker SPEAKER_16
transcript.pyannote[730].start 5424.93846875
transcript.pyannote[730].end 5425.84971875
transcript.pyannote[731].speaker SPEAKER_03
transcript.pyannote[731].start 5425.84971875
transcript.pyannote[731].end 5425.86659375
transcript.pyannote[732].speaker SPEAKER_01
transcript.pyannote[732].start 5426.10284375
transcript.pyannote[732].end 5431.26659375
transcript.pyannote[733].speaker SPEAKER_03
transcript.pyannote[733].start 5430.89534375
transcript.pyannote[733].end 5437.59471875
transcript.pyannote[734].speaker SPEAKER_01
transcript.pyannote[734].start 5437.15596875
transcript.pyannote[734].end 5459.19471875
transcript.pyannote[735].speaker SPEAKER_03
transcript.pyannote[735].start 5442.67409375
transcript.pyannote[735].end 5442.72471875
transcript.pyannote[736].speaker SPEAKER_22
transcript.pyannote[736].start 5442.72471875
transcript.pyannote[736].end 5443.18034375
transcript.pyannote[737].speaker SPEAKER_03
transcript.pyannote[737].start 5443.18034375
transcript.pyannote[737].end 5443.19721875
transcript.pyannote[738].speaker SPEAKER_01
transcript.pyannote[738].start 5459.56596875
transcript.pyannote[738].end 5467.14284375
transcript.pyannote[739].speaker SPEAKER_01
transcript.pyannote[739].start 5468.10471875
transcript.pyannote[739].end 5470.70346875
transcript.pyannote[740].speaker SPEAKER_16
transcript.pyannote[740].start 5470.70346875
transcript.pyannote[740].end 5471.27721875
transcript.pyannote[741].speaker SPEAKER_01
transcript.pyannote[741].start 5471.10846875
transcript.pyannote[741].end 5478.41534375
transcript.pyannote[742].speaker SPEAKER_01
transcript.pyannote[742].start 5478.70221875
transcript.pyannote[742].end 5482.24596875
transcript.pyannote[743].speaker SPEAKER_01
transcript.pyannote[743].start 5482.78596875
transcript.pyannote[743].end 5496.45471875
transcript.pyannote[744].speaker SPEAKER_00
transcript.pyannote[744].start 5489.80596875
transcript.pyannote[744].end 5489.87346875
transcript.pyannote[745].speaker SPEAKER_16
transcript.pyannote[745].start 5489.87346875
transcript.pyannote[745].end 5489.97471875
transcript.pyannote[746].speaker SPEAKER_00
transcript.pyannote[746].start 5489.97471875
transcript.pyannote[746].end 5491.00409375
transcript.pyannote[747].speaker SPEAKER_00
transcript.pyannote[747].start 5491.98284375
transcript.pyannote[747].end 5492.50596875
transcript.pyannote[748].speaker SPEAKER_16
transcript.pyannote[748].start 5494.09221875
transcript.pyannote[748].end 5494.46346875
transcript.pyannote[749].speaker SPEAKER_01
transcript.pyannote[749].start 5497.24784375
transcript.pyannote[749].end 5498.00721875
transcript.pyannote[750].speaker SPEAKER_01
transcript.pyannote[750].start 5498.63159375
transcript.pyannote[750].end 5499.23909375
transcript.pyannote[751].speaker SPEAKER_01
transcript.pyannote[751].start 5499.84659375
transcript.pyannote[751].end 5500.63971875
transcript.pyannote[752].speaker SPEAKER_01
transcript.pyannote[752].start 5501.17971875
transcript.pyannote[752].end 5501.65221875
transcript.pyannote[753].speaker SPEAKER_01
transcript.pyannote[753].start 5502.54659375
transcript.pyannote[753].end 5509.26284375
transcript.pyannote[754].speaker SPEAKER_01
transcript.pyannote[754].start 5509.97159375
transcript.pyannote[754].end 5510.54534375
transcript.pyannote[755].speaker SPEAKER_01
transcript.pyannote[755].start 5510.96721875
transcript.pyannote[755].end 5532.31409375
transcript.pyannote[756].speaker SPEAKER_18
transcript.pyannote[756].start 5524.09596875
transcript.pyannote[756].end 5524.34909375
transcript.pyannote[757].speaker SPEAKER_16
transcript.pyannote[757].start 5532.46596875
transcript.pyannote[757].end 5532.76971875
transcript.pyannote[758].speaker SPEAKER_01
transcript.pyannote[758].start 5533.00596875
transcript.pyannote[758].end 5535.65534375
transcript.pyannote[759].speaker SPEAKER_16
transcript.pyannote[759].start 5533.47846875
transcript.pyannote[759].end 5533.95096875
transcript.pyannote[760].speaker SPEAKER_01
transcript.pyannote[760].start 5536.16159375
transcript.pyannote[760].end 5549.40846875
transcript.pyannote[761].speaker SPEAKER_16
transcript.pyannote[761].start 5536.19534375
transcript.pyannote[761].end 5536.51596875
transcript.pyannote[762].speaker SPEAKER_03
transcript.pyannote[762].start 5550.35346875
transcript.pyannote[762].end 5559.97221875
transcript.pyannote[763].speaker SPEAKER_01
transcript.pyannote[763].start 5554.16721875
transcript.pyannote[763].end 5554.94346875
transcript.pyannote[764].speaker SPEAKER_01
transcript.pyannote[764].start 5559.75284375
transcript.pyannote[764].end 5565.94596875
transcript.pyannote[765].speaker SPEAKER_03
transcript.pyannote[765].start 5560.20846875
transcript.pyannote[765].end 5560.66409375
transcript.pyannote[766].speaker SPEAKER_03
transcript.pyannote[766].start 5562.21659375
transcript.pyannote[766].end 5562.90846875
transcript.pyannote[767].speaker SPEAKER_03
transcript.pyannote[767].start 5564.27534375
transcript.pyannote[767].end 5564.47784375
transcript.pyannote[768].speaker SPEAKER_03
transcript.pyannote[768].start 5565.94596875
transcript.pyannote[768].end 5565.97971875
transcript.pyannote[769].speaker SPEAKER_03
transcript.pyannote[769].start 5566.01346875
transcript.pyannote[769].end 5571.95346875
transcript.pyannote[770].speaker SPEAKER_01
transcript.pyannote[770].start 5567.97096875
transcript.pyannote[770].end 5568.56159375
transcript.pyannote[771].speaker SPEAKER_01
transcript.pyannote[771].start 5569.16909375
transcript.pyannote[771].end 5582.43284375
transcript.pyannote[772].speaker SPEAKER_03
transcript.pyannote[772].start 5574.40034375
transcript.pyannote[772].end 5574.56909375
transcript.pyannote[773].speaker SPEAKER_03
transcript.pyannote[773].start 5576.07096875
transcript.pyannote[773].end 5576.10471875
transcript.pyannote[774].speaker SPEAKER_16
transcript.pyannote[774].start 5576.10471875
transcript.pyannote[774].end 5576.44221875
transcript.pyannote[775].speaker SPEAKER_03
transcript.pyannote[775].start 5582.43284375
transcript.pyannote[775].end 5582.70284375
transcript.pyannote[776].speaker SPEAKER_01
transcript.pyannote[776].start 5582.70284375
transcript.pyannote[776].end 5587.36034375
transcript.pyannote[777].speaker SPEAKER_03
transcript.pyannote[777].start 5587.36034375
transcript.pyannote[777].end 5587.93409375
transcript.pyannote[778].speaker SPEAKER_01
transcript.pyannote[778].start 5587.86659375
transcript.pyannote[778].end 5591.52846875
transcript.pyannote[779].speaker SPEAKER_03
transcript.pyannote[779].start 5588.28846875
transcript.pyannote[779].end 5588.59221875
transcript.pyannote[780].speaker SPEAKER_03
transcript.pyannote[780].start 5590.60034375
transcript.pyannote[780].end 5591.05596875
transcript.pyannote[781].speaker SPEAKER_01
transcript.pyannote[781].start 5591.83221875
transcript.pyannote[781].end 5593.57034375
transcript.pyannote[782].speaker SPEAKER_01
transcript.pyannote[782].start 5593.78971875
transcript.pyannote[782].end 5598.00846875
transcript.pyannote[783].speaker SPEAKER_03
transcript.pyannote[783].start 5595.57846875
transcript.pyannote[783].end 5596.59096875
transcript.pyannote[784].speaker SPEAKER_03
transcript.pyannote[784].start 5598.00846875
transcript.pyannote[784].end 5603.56034375
transcript.pyannote[785].speaker SPEAKER_01
transcript.pyannote[785].start 5601.80534375
transcript.pyannote[785].end 5602.14284375
transcript.pyannote[786].speaker SPEAKER_01
transcript.pyannote[786].start 5603.03721875
transcript.pyannote[786].end 5603.49284375
transcript.pyannote[787].speaker SPEAKER_01
transcript.pyannote[787].start 5603.56034375
transcript.pyannote[787].end 5603.86409375
transcript.pyannote[788].speaker SPEAKER_03
transcript.pyannote[788].start 5603.86409375
transcript.pyannote[788].end 5606.19284375
transcript.pyannote[789].speaker SPEAKER_01
transcript.pyannote[789].start 5603.91471875
transcript.pyannote[789].end 5604.23534375
transcript.pyannote[790].speaker SPEAKER_01
transcript.pyannote[790].start 5605.39971875
transcript.pyannote[790].end 5605.45034375
transcript.pyannote[791].speaker SPEAKER_10
transcript.pyannote[791].start 5609.51721875
transcript.pyannote[791].end 5613.06096875
transcript.pyannote[792].speaker SPEAKER_12
transcript.pyannote[792].start 5624.06346875
transcript.pyannote[792].end 5628.48471875
transcript.pyannote[793].speaker SPEAKER_10
transcript.pyannote[793].start 5628.60284375
transcript.pyannote[793].end 5629.58159375
transcript.pyannote[794].speaker SPEAKER_10
transcript.pyannote[794].start 5634.88034375
transcript.pyannote[794].end 5634.94784375
transcript.pyannote[795].speaker SPEAKER_07
transcript.pyannote[795].start 5634.94784375
transcript.pyannote[795].end 5635.52159375
transcript.pyannote[796].speaker SPEAKER_12
transcript.pyannote[796].start 5635.69034375
transcript.pyannote[796].end 5656.15971875
transcript.pyannote[797].speaker SPEAKER_07
transcript.pyannote[797].start 5643.41909375
transcript.pyannote[797].end 5643.72284375
transcript.pyannote[798].speaker SPEAKER_00
transcript.pyannote[798].start 5643.72284375
transcript.pyannote[798].end 5643.77346875
transcript.pyannote[799].speaker SPEAKER_12
transcript.pyannote[799].start 5656.32846875
transcript.pyannote[799].end 5665.28909375
transcript.pyannote[800].speaker SPEAKER_00
transcript.pyannote[800].start 5658.72471875
transcript.pyannote[800].end 5658.92721875
transcript.pyannote[801].speaker SPEAKER_12
transcript.pyannote[801].start 5665.59284375
transcript.pyannote[801].end 5669.92971875
transcript.pyannote[802].speaker SPEAKER_12
transcript.pyannote[802].start 5670.13221875
transcript.pyannote[802].end 5672.56221875
transcript.pyannote[803].speaker SPEAKER_12
transcript.pyannote[803].start 5672.91659375
transcript.pyannote[803].end 5675.24534375
transcript.pyannote[804].speaker SPEAKER_12
transcript.pyannote[804].start 5675.66721875
transcript.pyannote[804].end 5681.84346875
transcript.pyannote[805].speaker SPEAKER_12
transcript.pyannote[805].start 5682.11346875
transcript.pyannote[805].end 5703.89909375
transcript.pyannote[806].speaker SPEAKER_12
transcript.pyannote[806].start 5704.11846875
transcript.pyannote[806].end 5709.73784375
transcript.pyannote[807].speaker SPEAKER_12
transcript.pyannote[807].start 5709.85596875
transcript.pyannote[807].end 5712.72471875
transcript.pyannote[808].speaker SPEAKER_12
transcript.pyannote[808].start 5713.01159375
transcript.pyannote[808].end 5721.12846875
transcript.pyannote[809].speaker SPEAKER_12
transcript.pyannote[809].start 5721.41534375
transcript.pyannote[809].end 5723.28846875
transcript.pyannote[810].speaker SPEAKER_12
transcript.pyannote[810].start 5723.44034375
transcript.pyannote[810].end 5725.17846875
transcript.pyannote[811].speaker SPEAKER_12
transcript.pyannote[811].start 5725.27971875
transcript.pyannote[811].end 5727.60846875
transcript.pyannote[812].speaker SPEAKER_12
transcript.pyannote[812].start 5728.11471875
transcript.pyannote[812].end 5730.12284375
transcript.pyannote[813].speaker SPEAKER_12
transcript.pyannote[813].start 5730.27471875
transcript.pyannote[813].end 5736.02909375
transcript.pyannote[814].speaker SPEAKER_12
transcript.pyannote[814].start 5736.09659375
transcript.pyannote[814].end 5741.26034375
transcript.pyannote[815].speaker SPEAKER_12
transcript.pyannote[815].start 5741.47971875
transcript.pyannote[815].end 5748.22971875
transcript.pyannote[816].speaker SPEAKER_12
transcript.pyannote[816].start 5748.65159375
transcript.pyannote[816].end 5764.31159375
transcript.pyannote[817].speaker SPEAKER_07
transcript.pyannote[817].start 5764.95284375
transcript.pyannote[817].end 5766.97784375
transcript.pyannote[818].speaker SPEAKER_07
transcript.pyannote[818].start 5767.95659375
transcript.pyannote[818].end 5771.06159375
transcript.pyannote[819].speaker SPEAKER_07
transcript.pyannote[819].start 5771.95596875
transcript.pyannote[819].end 5772.58034375
transcript.pyannote[820].speaker SPEAKER_12
transcript.pyannote[820].start 5772.58034375
transcript.pyannote[820].end 5772.63096875
transcript.pyannote[821].speaker SPEAKER_07
transcript.pyannote[821].start 5773.54221875
transcript.pyannote[821].end 5774.28471875
transcript.pyannote[822].speaker SPEAKER_12
transcript.pyannote[822].start 5774.38596875
transcript.pyannote[822].end 5776.36034375
transcript.pyannote[823].speaker SPEAKER_12
transcript.pyannote[823].start 5776.41096875
transcript.pyannote[823].end 5782.35096875
transcript.pyannote[824].speaker SPEAKER_07
transcript.pyannote[824].start 5778.99284375
transcript.pyannote[824].end 5780.41034375
transcript.pyannote[825].speaker SPEAKER_07
transcript.pyannote[825].start 5781.72659375
transcript.pyannote[825].end 5784.34221875
transcript.pyannote[826].speaker SPEAKER_02
transcript.pyannote[826].start 5784.57846875
transcript.pyannote[826].end 5784.71346875
transcript.pyannote[827].speaker SPEAKER_02
transcript.pyannote[827].start 5785.00034375
transcript.pyannote[827].end 5804.32221875
transcript.pyannote[828].speaker SPEAKER_02
transcript.pyannote[828].start 5804.42346875
transcript.pyannote[828].end 5806.19534375
transcript.pyannote[829].speaker SPEAKER_02
transcript.pyannote[829].start 5806.49909375
transcript.pyannote[829].end 5811.22409375
transcript.pyannote[830].speaker SPEAKER_12
transcript.pyannote[830].start 5811.49409375
transcript.pyannote[830].end 5816.38784375
transcript.pyannote[831].speaker SPEAKER_02
transcript.pyannote[831].start 5818.69971875
transcript.pyannote[831].end 5818.98659375
transcript.pyannote[832].speaker SPEAKER_02
transcript.pyannote[832].start 5819.40846875
transcript.pyannote[832].end 5844.41721875
transcript.pyannote[833].speaker SPEAKER_12
transcript.pyannote[833].start 5844.63659375
transcript.pyannote[833].end 5849.32784375
transcript.pyannote[834].speaker SPEAKER_12
transcript.pyannote[834].start 5849.49659375
transcript.pyannote[834].end 5850.32346875
transcript.pyannote[835].speaker SPEAKER_12
transcript.pyannote[835].start 5850.52596875
transcript.pyannote[835].end 5854.47471875
transcript.pyannote[836].speaker SPEAKER_12
transcript.pyannote[836].start 5854.76159375
transcript.pyannote[836].end 5857.17471875
transcript.pyannote[837].speaker SPEAKER_12
transcript.pyannote[837].start 5857.32659375
transcript.pyannote[837].end 5871.36659375
transcript.pyannote[838].speaker SPEAKER_12
transcript.pyannote[838].start 5871.72096875
transcript.pyannote[838].end 5874.85971875
transcript.pyannote[839].speaker SPEAKER_12
transcript.pyannote[839].start 5875.16346875
transcript.pyannote[839].end 5881.37346875
transcript.pyannote[840].speaker SPEAKER_12
transcript.pyannote[840].start 5881.72784375
transcript.pyannote[840].end 5886.13221875
transcript.pyannote[841].speaker SPEAKER_12
transcript.pyannote[841].start 5886.31784375
transcript.pyannote[841].end 5891.22846875
transcript.pyannote[842].speaker SPEAKER_12
transcript.pyannote[842].start 5891.44784375
transcript.pyannote[842].end 5896.66221875
transcript.pyannote[843].speaker SPEAKER_12
transcript.pyannote[843].start 5896.83096875
transcript.pyannote[843].end 5899.17659375
transcript.pyannote[844].speaker SPEAKER_12
transcript.pyannote[844].start 5899.34534375
transcript.pyannote[844].end 5902.68659375
transcript.pyannote[845].speaker SPEAKER_12
transcript.pyannote[845].start 5902.78784375
transcript.pyannote[845].end 5909.36909375
transcript.pyannote[846].speaker SPEAKER_12
transcript.pyannote[846].start 5910.88784375
transcript.pyannote[846].end 5911.56284375
transcript.pyannote[847].speaker SPEAKER_07
transcript.pyannote[847].start 5910.90471875
transcript.pyannote[847].end 5912.22096875
transcript.pyannote[848].speaker SPEAKER_12
transcript.pyannote[848].start 5912.32221875
transcript.pyannote[848].end 5916.59159375
transcript.pyannote[849].speaker SPEAKER_22
transcript.pyannote[849].start 5924.75909375
transcript.pyannote[849].end 5924.77596875
transcript.pyannote[850].speaker SPEAKER_16
transcript.pyannote[850].start 5924.77596875
transcript.pyannote[850].end 5924.79284375
transcript.pyannote[851].speaker SPEAKER_22
transcript.pyannote[851].start 5924.79284375
transcript.pyannote[851].end 5924.84346875
transcript.pyannote[852].speaker SPEAKER_16
transcript.pyannote[852].start 5924.84346875
transcript.pyannote[852].end 5924.86034375
transcript.pyannote[853].speaker SPEAKER_22
transcript.pyannote[853].start 5924.86034375
transcript.pyannote[853].end 5925.04596875
transcript.pyannote[854].speaker SPEAKER_16
transcript.pyannote[854].start 5925.04596875
transcript.pyannote[854].end 5925.50159375
transcript.pyannote[855].speaker SPEAKER_12
transcript.pyannote[855].start 5925.43409375
transcript.pyannote[855].end 5949.43034375
transcript.pyannote[856].speaker SPEAKER_22
transcript.pyannote[856].start 5925.50159375
transcript.pyannote[856].end 5925.53534375
transcript.pyannote[857].speaker SPEAKER_22
transcript.pyannote[857].start 5926.17659375
transcript.pyannote[857].end 5926.44659375
transcript.pyannote[858].speaker SPEAKER_16
transcript.pyannote[858].start 5926.44659375
transcript.pyannote[858].end 5926.51409375
transcript.pyannote[859].speaker SPEAKER_22
transcript.pyannote[859].start 5926.51409375
transcript.pyannote[859].end 5926.53096875
transcript.pyannote[860].speaker SPEAKER_16
transcript.pyannote[860].start 5926.53096875
transcript.pyannote[860].end 5926.63221875
transcript.pyannote[861].speaker SPEAKER_22
transcript.pyannote[861].start 5926.63221875
transcript.pyannote[861].end 5926.66596875
transcript.pyannote[862].speaker SPEAKER_16
transcript.pyannote[862].start 5926.66596875
transcript.pyannote[862].end 5926.69971875
transcript.pyannote[863].speaker SPEAKER_22
transcript.pyannote[863].start 5926.69971875
transcript.pyannote[863].end 5926.75034375
transcript.pyannote[864].speaker SPEAKER_00
transcript.pyannote[864].start 5936.85846875
transcript.pyannote[864].end 5936.97659375
transcript.pyannote[865].speaker SPEAKER_00
transcript.pyannote[865].start 5939.32221875
transcript.pyannote[865].end 5939.38971875
transcript.pyannote[866].speaker SPEAKER_16
transcript.pyannote[866].start 5939.38971875
transcript.pyannote[866].end 5939.40659375
transcript.pyannote[867].speaker SPEAKER_00
transcript.pyannote[867].start 5939.40659375
transcript.pyannote[867].end 5939.49096875
transcript.pyannote[868].speaker SPEAKER_00
transcript.pyannote[868].start 5939.54159375
transcript.pyannote[868].end 5939.59221875
transcript.pyannote[869].speaker SPEAKER_12
transcript.pyannote[869].start 5949.48096875
transcript.pyannote[869].end 5949.71721875
transcript.pyannote[870].speaker SPEAKER_03
transcript.pyannote[870].start 5949.51471875
transcript.pyannote[870].end 5954.12159375
transcript.pyannote[871].speaker SPEAKER_03
transcript.pyannote[871].start 5954.49284375
transcript.pyannote[871].end 5962.35659375
transcript.pyannote[872].speaker SPEAKER_03
transcript.pyannote[872].start 5962.86284375
transcript.pyannote[872].end 5966.30534375
transcript.pyannote[873].speaker SPEAKER_12
transcript.pyannote[873].start 5962.94721875
transcript.pyannote[873].end 5963.35221875
transcript.pyannote[874].speaker SPEAKER_12
transcript.pyannote[874].start 5966.23784375
transcript.pyannote[874].end 5969.84909375
transcript.pyannote[875].speaker SPEAKER_12
transcript.pyannote[875].start 5970.15284375
transcript.pyannote[875].end 5976.66659375
transcript.pyannote[876].speaker SPEAKER_03
transcript.pyannote[876].start 5972.32971875
transcript.pyannote[876].end 5973.13971875
transcript.pyannote[877].speaker SPEAKER_16
transcript.pyannote[877].start 5973.13971875
transcript.pyannote[877].end 5973.15659375
transcript.pyannote[878].speaker SPEAKER_00
transcript.pyannote[878].start 5973.15659375
transcript.pyannote[878].end 5973.17346875
transcript.pyannote[879].speaker SPEAKER_12
transcript.pyannote[879].start 5976.81846875
transcript.pyannote[879].end 5983.41659375
transcript.pyannote[880].speaker SPEAKER_00
transcript.pyannote[880].start 5981.34096875
transcript.pyannote[880].end 5982.91034375
transcript.pyannote[881].speaker SPEAKER_12
transcript.pyannote[881].start 5983.56846875
transcript.pyannote[881].end 6003.02534375
transcript.pyannote[882].speaker SPEAKER_16
transcript.pyannote[882].start 5990.57159375
transcript.pyannote[882].end 5990.87534375
transcript.pyannote[883].speaker SPEAKER_16
transcript.pyannote[883].start 5995.07721875
transcript.pyannote[883].end 5995.14471875
transcript.pyannote[884].speaker SPEAKER_16
transcript.pyannote[884].start 5996.19096875
transcript.pyannote[884].end 5996.62971875
transcript.pyannote[885].speaker SPEAKER_03
transcript.pyannote[885].start 5998.58721875
transcript.pyannote[885].end 5998.60409375
transcript.pyannote[886].speaker SPEAKER_16
transcript.pyannote[886].start 5998.60409375
transcript.pyannote[886].end 5998.63784375
transcript.pyannote[887].speaker SPEAKER_03
transcript.pyannote[887].start 5998.63784375
transcript.pyannote[887].end 5999.09346875
transcript.pyannote[888].speaker SPEAKER_16
transcript.pyannote[888].start 5999.09346875
transcript.pyannote[888].end 5999.24534375
transcript.pyannote[889].speaker SPEAKER_03
transcript.pyannote[889].start 6000.59534375
transcript.pyannote[889].end 6000.94971875
transcript.pyannote[890].speaker SPEAKER_03
transcript.pyannote[890].start 6003.10971875
transcript.pyannote[890].end 6007.02471875
transcript.pyannote[891].speaker SPEAKER_03
transcript.pyannote[891].start 6007.31159375
transcript.pyannote[891].end 6014.46659375
transcript.pyannote[892].speaker SPEAKER_12
transcript.pyannote[892].start 6011.37846875
transcript.pyannote[892].end 6011.85096875
transcript.pyannote[893].speaker SPEAKER_00
transcript.pyannote[893].start 6011.85096875
transcript.pyannote[893].end 6011.91846875
transcript.pyannote[894].speaker SPEAKER_03
transcript.pyannote[894].start 6014.83784375
transcript.pyannote[894].end 6022.26284375
transcript.pyannote[895].speaker SPEAKER_03
transcript.pyannote[895].start 6022.48221875
transcript.pyannote[895].end 6026.27909375
transcript.pyannote[896].speaker SPEAKER_16
transcript.pyannote[896].start 6026.22846875
transcript.pyannote[896].end 6026.63346875
transcript.pyannote[897].speaker SPEAKER_03
transcript.pyannote[897].start 6026.53221875
transcript.pyannote[897].end 6029.62034375
transcript.pyannote[898].speaker SPEAKER_03
transcript.pyannote[898].start 6029.70471875
transcript.pyannote[898].end 6036.74159375
transcript.pyannote[899].speaker SPEAKER_16
transcript.pyannote[899].start 6032.30346875
transcript.pyannote[899].end 6032.79284375
transcript.pyannote[900].speaker SPEAKER_16
transcript.pyannote[900].start 6036.65721875
transcript.pyannote[900].end 6036.99471875
transcript.pyannote[901].speaker SPEAKER_03
transcript.pyannote[901].start 6036.82596875
transcript.pyannote[901].end 6047.27159375
transcript.pyannote[902].speaker SPEAKER_16
transcript.pyannote[902].start 6043.54221875
transcript.pyannote[902].end 6043.96409375
transcript.pyannote[903].speaker SPEAKER_12
transcript.pyannote[903].start 6043.96409375
transcript.pyannote[903].end 6044.13284375
transcript.pyannote[904].speaker SPEAKER_03
transcript.pyannote[904].start 6047.77784375
transcript.pyannote[904].end 6050.61284375
transcript.pyannote[905].speaker SPEAKER_12
transcript.pyannote[905].start 6050.96721875
transcript.pyannote[905].end 6051.42284375
transcript.pyannote[906].speaker SPEAKER_12
transcript.pyannote[906].start 6051.72659375
transcript.pyannote[906].end 6064.75409375
transcript.pyannote[907].speaker SPEAKER_00
transcript.pyannote[907].start 6062.20596875
transcript.pyannote[907].end 6062.61096875
transcript.pyannote[908].speaker SPEAKER_12
transcript.pyannote[908].start 6065.02409375
transcript.pyannote[908].end 6072.92159375
transcript.pyannote[909].speaker SPEAKER_03
transcript.pyannote[909].start 6072.95534375
transcript.pyannote[909].end 6079.67159375
transcript.pyannote[910].speaker SPEAKER_12
transcript.pyannote[910].start 6079.77284375
transcript.pyannote[910].end 6080.51534375
transcript.pyannote[911].speaker SPEAKER_03
transcript.pyannote[911].start 6079.87409375
transcript.pyannote[911].end 6081.86534375
transcript.pyannote[912].speaker SPEAKER_12
transcript.pyannote[912].start 6081.94971875
transcript.pyannote[912].end 6084.17721875
transcript.pyannote[913].speaker SPEAKER_10
transcript.pyannote[913].start 6087.06284375
transcript.pyannote[913].end 6090.99471875
transcript.pyannote[914].speaker SPEAKER_22
transcript.pyannote[914].start 6093.77909375
transcript.pyannote[914].end 6093.82971875
transcript.pyannote[915].speaker SPEAKER_22
transcript.pyannote[915].start 6098.38596875
transcript.pyannote[915].end 6100.96784375
transcript.pyannote[916].speaker SPEAKER_10
transcript.pyannote[916].start 6101.33909375
transcript.pyannote[916].end 6102.40221875
transcript.pyannote[917].speaker SPEAKER_22
transcript.pyannote[917].start 6110.65409375
transcript.pyannote[917].end 6195.80534375
transcript.pyannote[918].speaker SPEAKER_03
transcript.pyannote[918].start 6195.80534375
transcript.pyannote[918].end 6205.42409375
transcript.pyannote[919].speaker SPEAKER_03
transcript.pyannote[919].start 6205.52534375
transcript.pyannote[919].end 6225.18471875
transcript.pyannote[920].speaker SPEAKER_22
transcript.pyannote[920].start 6224.72909375
transcript.pyannote[920].end 6227.85096875
transcript.pyannote[921].speaker SPEAKER_03
transcript.pyannote[921].start 6225.82596875
transcript.pyannote[921].end 6225.92721875
transcript.pyannote[922].speaker SPEAKER_03
transcript.pyannote[922].start 6227.85096875
transcript.pyannote[922].end 6227.86784375
transcript.pyannote[923].speaker SPEAKER_22
transcript.pyannote[923].start 6227.86784375
transcript.pyannote[923].end 6240.65909375
transcript.pyannote[924].speaker SPEAKER_03
transcript.pyannote[924].start 6228.13784375
transcript.pyannote[924].end 6228.20534375
transcript.pyannote[925].speaker SPEAKER_03
transcript.pyannote[925].start 6240.16971875
transcript.pyannote[925].end 6240.59159375
transcript.pyannote[926].speaker SPEAKER_03
transcript.pyannote[926].start 6240.65909375
transcript.pyannote[926].end 6245.43471875
transcript.pyannote[927].speaker SPEAKER_22
transcript.pyannote[927].start 6243.54471875
transcript.pyannote[927].end 6243.83159375
transcript.pyannote[928].speaker SPEAKER_03
transcript.pyannote[928].start 6245.87346875
transcript.pyannote[928].end 6265.73534375
transcript.pyannote[929].speaker SPEAKER_22
transcript.pyannote[929].start 6247.35846875
transcript.pyannote[929].end 6247.39221875
transcript.pyannote[930].speaker SPEAKER_06
transcript.pyannote[930].start 6247.39221875
transcript.pyannote[930].end 6247.59471875
transcript.pyannote[931].speaker SPEAKER_22
transcript.pyannote[931].start 6247.59471875
transcript.pyannote[931].end 6247.62846875
transcript.pyannote[932].speaker SPEAKER_22
transcript.pyannote[932].start 6262.86659375
transcript.pyannote[932].end 6265.21221875
transcript.pyannote[933].speaker SPEAKER_22
transcript.pyannote[933].start 6265.65096875
transcript.pyannote[933].end 6276.97409375
transcript.pyannote[934].speaker SPEAKER_03
transcript.pyannote[934].start 6276.97409375
transcript.pyannote[934].end 6281.90159375
transcript.pyannote[935].speaker SPEAKER_22
transcript.pyannote[935].start 6281.34471875
transcript.pyannote[935].end 6281.69909375
transcript.pyannote[936].speaker SPEAKER_03
transcript.pyannote[936].start 6282.00284375
transcript.pyannote[936].end 6288.73596875
transcript.pyannote[937].speaker SPEAKER_22
transcript.pyannote[937].start 6287.28471875
transcript.pyannote[937].end 6314.63909375
transcript.pyannote[938].speaker SPEAKER_03
transcript.pyannote[938].start 6289.98471875
transcript.pyannote[938].end 6290.77784375
transcript.pyannote[939].speaker SPEAKER_03
transcript.pyannote[939].start 6314.63909375
transcript.pyannote[939].end 6322.45221875
transcript.pyannote[940].speaker SPEAKER_22
transcript.pyannote[940].start 6314.70659375
transcript.pyannote[940].end 6314.97659375
transcript.pyannote[941].speaker SPEAKER_22
transcript.pyannote[941].start 6321.84471875
transcript.pyannote[941].end 6328.12221875
transcript.pyannote[942].speaker SPEAKER_03
transcript.pyannote[942].start 6323.86971875
transcript.pyannote[942].end 6324.56159375
transcript.pyannote[943].speaker SPEAKER_16
transcript.pyannote[943].start 6327.76784375
transcript.pyannote[943].end 6328.32471875
transcript.pyannote[944].speaker SPEAKER_22
transcript.pyannote[944].start 6328.22346875
transcript.pyannote[944].end 6485.17784375
transcript.pyannote[945].speaker SPEAKER_00
transcript.pyannote[945].start 6368.63909375
transcript.pyannote[945].end 6368.90909375
transcript.pyannote[946].speaker SPEAKER_03
transcript.pyannote[946].start 6485.51534375
transcript.pyannote[946].end 6522.03284375
transcript.pyannote[947].speaker SPEAKER_22
transcript.pyannote[947].start 6522.03284375
transcript.pyannote[947].end 6535.16159375
transcript.pyannote[948].speaker SPEAKER_03
transcript.pyannote[948].start 6533.64284375
transcript.pyannote[948].end 6536.24159375
transcript.pyannote[949].speaker SPEAKER_22
transcript.pyannote[949].start 6536.24159375
transcript.pyannote[949].end 6596.19846875
transcript.pyannote[950].speaker SPEAKER_16
transcript.pyannote[950].start 6571.37534375
transcript.pyannote[950].end 6571.61159375
transcript.pyannote[951].speaker SPEAKER_03
transcript.pyannote[951].start 6593.59971875
transcript.pyannote[951].end 6593.88659375
transcript.pyannote[952].speaker SPEAKER_03
transcript.pyannote[952].start 6593.90346875
transcript.pyannote[952].end 6593.92034375
transcript.pyannote[953].speaker SPEAKER_03
transcript.pyannote[953].start 6596.19846875
transcript.pyannote[953].end 6612.33096875
transcript.pyannote[954].speaker SPEAKER_16
transcript.pyannote[954].start 6602.37471875
transcript.pyannote[954].end 6602.94846875
transcript.pyannote[955].speaker SPEAKER_16
transcript.pyannote[955].start 6603.30284375
transcript.pyannote[955].end 6603.72471875
transcript.pyannote[956].speaker SPEAKER_03
transcript.pyannote[956].start 6612.58409375
transcript.pyannote[956].end 6655.02471875
transcript.pyannote[957].speaker SPEAKER_22
transcript.pyannote[957].start 6655.02471875
transcript.pyannote[957].end 6736.02471875
transcript.pyannote[958].speaker SPEAKER_00
transcript.pyannote[958].start 6676.06784375
transcript.pyannote[958].end 6676.48971875
transcript.pyannote[959].speaker SPEAKER_00
transcript.pyannote[959].start 6677.97471875
transcript.pyannote[959].end 6678.27846875
transcript.pyannote[960].speaker SPEAKER_22
transcript.pyannote[960].start 6736.14284375
transcript.pyannote[960].end 6738.50534375
transcript.pyannote[961].speaker SPEAKER_03
transcript.pyannote[961].start 6739.28159375
transcript.pyannote[961].end 6740.47971875
transcript.pyannote[962].speaker SPEAKER_22
transcript.pyannote[962].start 6740.51346875
transcript.pyannote[962].end 6741.59346875
transcript.pyannote[963].speaker SPEAKER_10
transcript.pyannote[963].start 6743.97284375
transcript.pyannote[963].end 6752.73096875
transcript.pyannote[964].speaker SPEAKER_20
transcript.pyannote[964].start 6757.10159375
transcript.pyannote[964].end 6758.90721875
transcript.pyannote[965].speaker SPEAKER_20
transcript.pyannote[965].start 6760.18971875
transcript.pyannote[965].end 6763.41284375
transcript.pyannote[966].speaker SPEAKER_03
transcript.pyannote[966].start 6770.39909375
transcript.pyannote[966].end 6770.88846875
transcript.pyannote[967].speaker SPEAKER_20
transcript.pyannote[967].start 6771.58034375
transcript.pyannote[967].end 6773.26784375
transcript.pyannote[968].speaker SPEAKER_20
transcript.pyannote[968].start 6773.33534375
transcript.pyannote[968].end 6775.54596875
transcript.pyannote[969].speaker SPEAKER_20
transcript.pyannote[969].start 6776.59221875
transcript.pyannote[969].end 6778.33034375
transcript.pyannote[970].speaker SPEAKER_20
transcript.pyannote[970].start 6778.41471875
transcript.pyannote[970].end 6780.94596875
transcript.pyannote[971].speaker SPEAKER_20
transcript.pyannote[971].start 6781.73909375
transcript.pyannote[971].end 6782.05971875
transcript.pyannote[972].speaker SPEAKER_20
transcript.pyannote[972].start 6782.51534375
transcript.pyannote[972].end 6784.97909375
transcript.pyannote[973].speaker SPEAKER_20
transcript.pyannote[973].start 6785.68784375
transcript.pyannote[973].end 6787.71284375
transcript.pyannote[974].speaker SPEAKER_20
transcript.pyannote[974].start 6788.33721875
transcript.pyannote[974].end 6790.31159375
transcript.pyannote[975].speaker SPEAKER_20
transcript.pyannote[975].start 6791.10471875
transcript.pyannote[975].end 6792.30284375
transcript.pyannote[976].speaker SPEAKER_20
transcript.pyannote[976].start 6792.97784375
transcript.pyannote[976].end 6799.39034375
transcript.pyannote[977].speaker SPEAKER_20
transcript.pyannote[977].start 6799.99784375
transcript.pyannote[977].end 6803.18721875
transcript.pyannote[978].speaker SPEAKER_16
transcript.pyannote[978].start 6803.18721875
transcript.pyannote[978].end 6803.22096875
transcript.pyannote[979].speaker SPEAKER_20
transcript.pyannote[979].start 6803.92971875
transcript.pyannote[979].end 6806.30909375
transcript.pyannote[980].speaker SPEAKER_20
transcript.pyannote[980].start 6806.78159375
transcript.pyannote[980].end 6807.79409375
transcript.pyannote[981].speaker SPEAKER_16
transcript.pyannote[981].start 6807.79409375
transcript.pyannote[981].end 6808.24971875
transcript.pyannote[982].speaker SPEAKER_20
transcript.pyannote[982].start 6808.51971875
transcript.pyannote[982].end 6812.58659375
transcript.pyannote[983].speaker SPEAKER_20
transcript.pyannote[983].start 6813.17721875
transcript.pyannote[983].end 6814.64534375
transcript.pyannote[984].speaker SPEAKER_20
transcript.pyannote[984].start 6815.42159375
transcript.pyannote[984].end 6816.60284375
transcript.pyannote[985].speaker SPEAKER_20
transcript.pyannote[985].start 6817.19346875
transcript.pyannote[985].end 6819.26909375
transcript.pyannote[986].speaker SPEAKER_20
transcript.pyannote[986].start 6819.80909375
transcript.pyannote[986].end 6821.20971875
transcript.pyannote[987].speaker SPEAKER_20
transcript.pyannote[987].start 6821.61471875
transcript.pyannote[987].end 6824.60159375
transcript.pyannote[988].speaker SPEAKER_20
transcript.pyannote[988].start 6825.39471875
transcript.pyannote[988].end 6828.82034375
transcript.pyannote[989].speaker SPEAKER_20
transcript.pyannote[989].start 6829.46159375
transcript.pyannote[989].end 6831.80721875
transcript.pyannote[990].speaker SPEAKER_20
transcript.pyannote[990].start 6831.94221875
transcript.pyannote[990].end 6832.44846875
transcript.pyannote[991].speaker SPEAKER_16
transcript.pyannote[991].start 6832.68471875
transcript.pyannote[991].end 6833.00534375
transcript.pyannote[992].speaker SPEAKER_20
transcript.pyannote[992].start 6833.00534375
transcript.pyannote[992].end 6833.02221875
transcript.pyannote[993].speaker SPEAKER_20
transcript.pyannote[993].start 6833.15721875
transcript.pyannote[993].end 6834.27096875
transcript.pyannote[994].speaker SPEAKER_20
transcript.pyannote[994].start 6834.76034375
transcript.pyannote[994].end 6837.20721875
transcript.pyannote[995].speaker SPEAKER_20
transcript.pyannote[995].start 6838.33784375
transcript.pyannote[995].end 6839.41784375
transcript.pyannote[996].speaker SPEAKER_20
transcript.pyannote[996].start 6840.64971875
transcript.pyannote[996].end 6842.23596875
transcript.pyannote[997].speaker SPEAKER_20
transcript.pyannote[997].start 6842.33721875
transcript.pyannote[997].end 6842.72534375
transcript.pyannote[998].speaker SPEAKER_20
transcript.pyannote[998].start 6842.96159375
transcript.pyannote[998].end 6843.97409375
transcript.pyannote[999].speaker SPEAKER_20
transcript.pyannote[999].start 6844.63221875
transcript.pyannote[999].end 6845.71221875
transcript.pyannote[1000].speaker SPEAKER_20
transcript.pyannote[1000].start 6846.75846875
transcript.pyannote[1000].end 6847.19721875
transcript.pyannote[1001].speaker SPEAKER_20
transcript.pyannote[1001].start 6847.29846875
transcript.pyannote[1001].end 6847.78784375
transcript.pyannote[1002].speaker SPEAKER_20
transcript.pyannote[1002].start 6848.36159375
transcript.pyannote[1002].end 6849.50909375
transcript.pyannote[1003].speaker SPEAKER_20
transcript.pyannote[1003].start 6850.60596875
transcript.pyannote[1003].end 6851.02784375
transcript.pyannote[1004].speaker SPEAKER_20
transcript.pyannote[1004].start 6851.07846875
transcript.pyannote[1004].end 6855.43221875
transcript.pyannote[1005].speaker SPEAKER_03
transcript.pyannote[1005].start 6856.63034375
transcript.pyannote[1005].end 6864.96659375
transcript.pyannote[1006].speaker SPEAKER_20
transcript.pyannote[1006].start 6857.03534375
transcript.pyannote[1006].end 6857.38971875
transcript.pyannote[1007].speaker SPEAKER_20
transcript.pyannote[1007].start 6864.96659375
transcript.pyannote[1007].end 6869.11784375
transcript.pyannote[1008].speaker SPEAKER_20
transcript.pyannote[1008].start 6869.33721875
transcript.pyannote[1008].end 6871.26096875
transcript.pyannote[1009].speaker SPEAKER_20
transcript.pyannote[1009].start 6871.44659375
transcript.pyannote[1009].end 6875.76659375
transcript.pyannote[1010].speaker SPEAKER_20
transcript.pyannote[1010].start 6877.50471875
transcript.pyannote[1010].end 6880.59284375
transcript.pyannote[1011].speaker SPEAKER_20
transcript.pyannote[1011].start 6881.41971875
transcript.pyannote[1011].end 6884.15346875
transcript.pyannote[1012].speaker SPEAKER_20
transcript.pyannote[1012].start 6885.01409375
transcript.pyannote[1012].end 6887.73096875
transcript.pyannote[1013].speaker SPEAKER_20
transcript.pyannote[1013].start 6888.38909375
transcript.pyannote[1013].end 6888.70971875
transcript.pyannote[1014].speaker SPEAKER_20
transcript.pyannote[1014].start 6889.19909375
transcript.pyannote[1014].end 6892.27034375
transcript.pyannote[1015].speaker SPEAKER_20
transcript.pyannote[1015].start 6892.55721875
transcript.pyannote[1015].end 6896.01659375
transcript.pyannote[1016].speaker SPEAKER_20
transcript.pyannote[1016].start 6896.50596875
transcript.pyannote[1016].end 6897.99096875
transcript.pyannote[1017].speaker SPEAKER_20
transcript.pyannote[1017].start 6898.95284375
transcript.pyannote[1017].end 6900.94409375
transcript.pyannote[1018].speaker SPEAKER_20
transcript.pyannote[1018].start 6901.55159375
transcript.pyannote[1018].end 6903.49221875
transcript.pyannote[1019].speaker SPEAKER_20
transcript.pyannote[1019].start 6903.99846875
transcript.pyannote[1019].end 6906.66471875
transcript.pyannote[1020].speaker SPEAKER_03
transcript.pyannote[1020].start 6906.79971875
transcript.pyannote[1020].end 6907.84596875
transcript.pyannote[1021].speaker SPEAKER_03
transcript.pyannote[1021].start 6908.09909375
transcript.pyannote[1021].end 6913.12784375
transcript.pyannote[1022].speaker SPEAKER_03
transcript.pyannote[1022].start 6913.78596875
transcript.pyannote[1022].end 6915.77721875
transcript.pyannote[1023].speaker SPEAKER_03
transcript.pyannote[1023].start 6916.14846875
transcript.pyannote[1023].end 6920.31659375
transcript.pyannote[1024].speaker SPEAKER_03
transcript.pyannote[1024].start 6920.60346875
transcript.pyannote[1024].end 6940.06034375
transcript.pyannote[1025].speaker SPEAKER_03
transcript.pyannote[1025].start 6940.39784375
transcript.pyannote[1025].end 6945.51096875
transcript.pyannote[1026].speaker SPEAKER_03
transcript.pyannote[1026].start 6945.57846875
transcript.pyannote[1026].end 6948.66659375
transcript.pyannote[1027].speaker SPEAKER_03
transcript.pyannote[1027].start 6948.81846875
transcript.pyannote[1027].end 6959.97284375
transcript.pyannote[1028].speaker SPEAKER_03
transcript.pyannote[1028].start 6960.04034375
transcript.pyannote[1028].end 6965.55846875
transcript.pyannote[1029].speaker SPEAKER_20
transcript.pyannote[1029].start 6964.96784375
transcript.pyannote[1029].end 6966.67221875
transcript.pyannote[1030].speaker SPEAKER_03
transcript.pyannote[1030].start 6966.67221875
transcript.pyannote[1030].end 6968.57909375
transcript.pyannote[1031].speaker SPEAKER_20
transcript.pyannote[1031].start 6968.02221875
transcript.pyannote[1031].end 6971.17784375
transcript.pyannote[1032].speaker SPEAKER_20
transcript.pyannote[1032].start 6971.85284375
transcript.pyannote[1032].end 6975.44721875
transcript.pyannote[1033].speaker SPEAKER_20
transcript.pyannote[1033].start 6976.22346875
transcript.pyannote[1033].end 6977.57346875
transcript.pyannote[1034].speaker SPEAKER_03
transcript.pyannote[1034].start 6977.82659375
transcript.pyannote[1034].end 6978.01221875
transcript.pyannote[1035].speaker SPEAKER_20
transcript.pyannote[1035].start 6978.29909375
transcript.pyannote[1035].end 6979.88534375
transcript.pyannote[1036].speaker SPEAKER_03
transcript.pyannote[1036].start 6980.67846875
transcript.pyannote[1036].end 6981.40409375
transcript.pyannote[1037].speaker SPEAKER_20
transcript.pyannote[1037].start 6981.53909375
transcript.pyannote[1037].end 6983.10846875
transcript.pyannote[1038].speaker SPEAKER_03
transcript.pyannote[1038].start 6982.82159375
transcript.pyannote[1038].end 6983.51346875
transcript.pyannote[1039].speaker SPEAKER_20
transcript.pyannote[1039].start 6984.27284375
transcript.pyannote[1039].end 6984.96471875
transcript.pyannote[1040].speaker SPEAKER_20
transcript.pyannote[1040].start 6985.62284375
transcript.pyannote[1040].end 6990.75284375
transcript.pyannote[1041].speaker SPEAKER_20
transcript.pyannote[1041].start 6991.81596875
transcript.pyannote[1041].end 6992.72721875
transcript.pyannote[1042].speaker SPEAKER_20
transcript.pyannote[1042].start 6994.41471875
transcript.pyannote[1042].end 6995.78159375
transcript.pyannote[1043].speaker SPEAKER_20
transcript.pyannote[1043].start 6996.67596875
transcript.pyannote[1043].end 6998.16096875
transcript.pyannote[1044].speaker SPEAKER_16
transcript.pyannote[1044].start 6998.16096875
transcript.pyannote[1044].end 6998.38034375
transcript.pyannote[1045].speaker SPEAKER_20
transcript.pyannote[1045].start 6998.70096875
transcript.pyannote[1045].end 6998.73471875
transcript.pyannote[1046].speaker SPEAKER_16
transcript.pyannote[1046].start 6999.22409375
transcript.pyannote[1046].end 6999.44346875
transcript.pyannote[1047].speaker SPEAKER_20
transcript.pyannote[1047].start 6999.44346875
transcript.pyannote[1047].end 7000.79346875
transcript.pyannote[1048].speaker SPEAKER_16
transcript.pyannote[1048].start 6999.47721875
transcript.pyannote[1048].end 6999.52784375
transcript.pyannote[1049].speaker SPEAKER_16
transcript.pyannote[1049].start 7001.09721875
transcript.pyannote[1049].end 7001.31659375
transcript.pyannote[1050].speaker SPEAKER_03
transcript.pyannote[1050].start 7001.31659375
transcript.pyannote[1050].end 7001.35034375
transcript.pyannote[1051].speaker SPEAKER_20
transcript.pyannote[1051].start 7002.04221875
transcript.pyannote[1051].end 7005.16409375
transcript.pyannote[1052].speaker SPEAKER_03
transcript.pyannote[1052].start 7005.16409375
transcript.pyannote[1052].end 7005.18096875
transcript.pyannote[1053].speaker SPEAKER_03
transcript.pyannote[1053].start 7005.19784375
transcript.pyannote[1053].end 7005.55221875
transcript.pyannote[1054].speaker SPEAKER_20
transcript.pyannote[1054].start 7005.55221875
transcript.pyannote[1054].end 7007.29034375
transcript.pyannote[1055].speaker SPEAKER_03
transcript.pyannote[1055].start 7007.39159375
transcript.pyannote[1055].end 7007.99909375
transcript.pyannote[1056].speaker SPEAKER_20
transcript.pyannote[1056].start 7007.99909375
transcript.pyannote[1056].end 7013.01096875
transcript.pyannote[1057].speaker SPEAKER_16
transcript.pyannote[1057].start 7013.01096875
transcript.pyannote[1057].end 7013.31471875
transcript.pyannote[1058].speaker SPEAKER_20
transcript.pyannote[1058].start 7013.31471875
transcript.pyannote[1058].end 7013.39909375
transcript.pyannote[1059].speaker SPEAKER_20
transcript.pyannote[1059].start 7013.48346875
transcript.pyannote[1059].end 7015.44096875
transcript.pyannote[1060].speaker SPEAKER_20
transcript.pyannote[1060].start 7016.13284375
transcript.pyannote[1060].end 7018.86659375
transcript.pyannote[1061].speaker SPEAKER_20
transcript.pyannote[1061].start 7020.04784375
transcript.pyannote[1061].end 7020.75659375
transcript.pyannote[1062].speaker SPEAKER_20
transcript.pyannote[1062].start 7021.81971875
transcript.pyannote[1062].end 7023.45659375
transcript.pyannote[1063].speaker SPEAKER_03
transcript.pyannote[1063].start 7023.82784375
transcript.pyannote[1063].end 7024.38471875
transcript.pyannote[1064].speaker SPEAKER_20
transcript.pyannote[1064].start 7025.09346875
transcript.pyannote[1064].end 7026.32534375
transcript.pyannote[1065].speaker SPEAKER_20
transcript.pyannote[1065].start 7026.67971875
transcript.pyannote[1065].end 7029.07596875
transcript.pyannote[1066].speaker SPEAKER_20
transcript.pyannote[1066].start 7030.12221875
transcript.pyannote[1066].end 7031.28659375
transcript.pyannote[1067].speaker SPEAKER_03
transcript.pyannote[1067].start 7030.30784375
transcript.pyannote[1067].end 7030.84784375
transcript.pyannote[1068].speaker SPEAKER_03
transcript.pyannote[1068].start 7031.74221875
transcript.pyannote[1068].end 7035.70784375
transcript.pyannote[1069].speaker SPEAKER_03
transcript.pyannote[1069].start 7035.77534375
transcript.pyannote[1069].end 7040.26409375
transcript.pyannote[1070].speaker SPEAKER_16
transcript.pyannote[1070].start 7039.33596875
transcript.pyannote[1070].end 7039.35284375
transcript.pyannote[1071].speaker SPEAKER_20
transcript.pyannote[1071].start 7039.35284375
transcript.pyannote[1071].end 7040.58471875
transcript.pyannote[1072].speaker SPEAKER_16
transcript.pyannote[1072].start 7040.58471875
transcript.pyannote[1072].end 7040.61846875
transcript.pyannote[1073].speaker SPEAKER_03
transcript.pyannote[1073].start 7040.61846875
transcript.pyannote[1073].end 7042.28909375
transcript.pyannote[1074].speaker SPEAKER_03
transcript.pyannote[1074].start 7042.67721875
transcript.pyannote[1074].end 7045.52909375
transcript.pyannote[1075].speaker SPEAKER_20
transcript.pyannote[1075].start 7044.22971875
transcript.pyannote[1075].end 7048.41471875
transcript.pyannote[1076].speaker SPEAKER_03
transcript.pyannote[1076].start 7048.29659375
transcript.pyannote[1076].end 7048.81971875
transcript.pyannote[1077].speaker SPEAKER_20
transcript.pyannote[1077].start 7049.39346875
transcript.pyannote[1077].end 7050.69284375
transcript.pyannote[1078].speaker SPEAKER_20
transcript.pyannote[1078].start 7051.19909375
transcript.pyannote[1078].end 7053.86534375
transcript.pyannote[1079].speaker SPEAKER_03
transcript.pyannote[1079].start 7052.49846875
transcript.pyannote[1079].end 7052.53221875
transcript.pyannote[1080].speaker SPEAKER_16
transcript.pyannote[1080].start 7052.53221875
transcript.pyannote[1080].end 7052.54909375
transcript.pyannote[1081].speaker SPEAKER_03
transcript.pyannote[1081].start 7052.54909375
transcript.pyannote[1081].end 7052.56596875
transcript.pyannote[1082].speaker SPEAKER_16
transcript.pyannote[1082].start 7052.56596875
transcript.pyannote[1082].end 7053.83159375
transcript.pyannote[1083].speaker SPEAKER_16
transcript.pyannote[1083].start 7054.16909375
transcript.pyannote[1083].end 7054.48971875
transcript.pyannote[1084].speaker SPEAKER_20
transcript.pyannote[1084].start 7054.48971875
transcript.pyannote[1084].end 7057.44284375
transcript.pyannote[1085].speaker SPEAKER_20
transcript.pyannote[1085].start 7058.08409375
transcript.pyannote[1085].end 7060.37909375
transcript.pyannote[1086].speaker SPEAKER_16
transcript.pyannote[1086].start 7060.37909375
transcript.pyannote[1086].end 7060.78409375
transcript.pyannote[1087].speaker SPEAKER_20
transcript.pyannote[1087].start 7060.88534375
transcript.pyannote[1087].end 7064.59784375
transcript.pyannote[1088].speaker SPEAKER_20
transcript.pyannote[1088].start 7065.15471875
transcript.pyannote[1088].end 7066.96034375
transcript.pyannote[1089].speaker SPEAKER_16
transcript.pyannote[1089].start 7066.96034375
transcript.pyannote[1089].end 7067.43284375
transcript.pyannote[1090].speaker SPEAKER_20
transcript.pyannote[1090].start 7067.43284375
transcript.pyannote[1090].end 7070.87534375
transcript.pyannote[1091].speaker SPEAKER_20
transcript.pyannote[1091].start 7071.61784375
transcript.pyannote[1091].end 7073.76096875
transcript.pyannote[1092].speaker SPEAKER_20
transcript.pyannote[1092].start 7073.98034375
transcript.pyannote[1092].end 7075.04346875
transcript.pyannote[1093].speaker SPEAKER_03
transcript.pyannote[1093].start 7075.22909375
transcript.pyannote[1093].end 7076.98409375
transcript.pyannote[1094].speaker SPEAKER_20
transcript.pyannote[1094].start 7075.63409375
transcript.pyannote[1094].end 7077.94596875
transcript.pyannote[1095].speaker SPEAKER_20
transcript.pyannote[1095].start 7078.30034375
transcript.pyannote[1095].end 7081.01721875
transcript.pyannote[1096].speaker SPEAKER_03
transcript.pyannote[1096].start 7078.33409375
transcript.pyannote[1096].end 7078.97534375
transcript.pyannote[1097].speaker SPEAKER_20
transcript.pyannote[1097].start 7081.15221875
transcript.pyannote[1097].end 7081.21971875
transcript.pyannote[1098].speaker SPEAKER_03
transcript.pyannote[1098].start 7081.21971875
transcript.pyannote[1098].end 7081.28721875
transcript.pyannote[1099].speaker SPEAKER_20
transcript.pyannote[1099].start 7081.28721875
transcript.pyannote[1099].end 7081.57409375
transcript.pyannote[1100].speaker SPEAKER_03
transcript.pyannote[1100].start 7082.21534375
transcript.pyannote[1100].end 7085.13471875
transcript.pyannote[1101].speaker SPEAKER_03
transcript.pyannote[1101].start 7085.38784375
transcript.pyannote[1101].end 7087.05846875
transcript.pyannote[1102].speaker SPEAKER_03
transcript.pyannote[1102].start 7087.39596875
transcript.pyannote[1102].end 7092.28971875
transcript.pyannote[1103].speaker SPEAKER_03
transcript.pyannote[1103].start 7092.74534375
transcript.pyannote[1103].end 7098.70221875
transcript.pyannote[1104].speaker SPEAKER_06
transcript.pyannote[1104].start 7093.87596875
transcript.pyannote[1104].end 7094.14596875
transcript.pyannote[1105].speaker SPEAKER_03
transcript.pyannote[1105].start 7099.02284375
transcript.pyannote[1105].end 7115.08784375
transcript.pyannote[1106].speaker SPEAKER_03
transcript.pyannote[1106].start 7115.50971875
transcript.pyannote[1106].end 7121.17971875
transcript.pyannote[1107].speaker SPEAKER_03
transcript.pyannote[1107].start 7121.58471875
transcript.pyannote[1107].end 7125.17909375
transcript.pyannote[1108].speaker SPEAKER_03
transcript.pyannote[1108].start 7125.55034375
transcript.pyannote[1108].end 7128.36846875
transcript.pyannote[1109].speaker SPEAKER_20
transcript.pyannote[1109].start 7128.77346875
transcript.pyannote[1109].end 7129.97159375
transcript.pyannote[1110].speaker SPEAKER_03
transcript.pyannote[1110].start 7129.80284375
transcript.pyannote[1110].end 7130.49471875
transcript.pyannote[1111].speaker SPEAKER_20
transcript.pyannote[1111].start 7131.22034375
transcript.pyannote[1111].end 7134.64596875
transcript.pyannote[1112].speaker SPEAKER_20
transcript.pyannote[1112].start 7136.19846875
transcript.pyannote[1112].end 7137.48096875
transcript.pyannote[1113].speaker SPEAKER_20
transcript.pyannote[1113].start 7138.20659375
transcript.pyannote[1113].end 7140.23159375
transcript.pyannote[1114].speaker SPEAKER_20
transcript.pyannote[1114].start 7140.99096875
transcript.pyannote[1114].end 7142.02034375
transcript.pyannote[1115].speaker SPEAKER_20
transcript.pyannote[1115].start 7142.47596875
transcript.pyannote[1115].end 7150.03596875
transcript.pyannote[1116].speaker SPEAKER_20
transcript.pyannote[1116].start 7150.27221875
transcript.pyannote[1116].end 7152.14534375
transcript.pyannote[1117].speaker SPEAKER_20
transcript.pyannote[1117].start 7152.48284375
transcript.pyannote[1117].end 7154.18721875
transcript.pyannote[1118].speaker SPEAKER_20
transcript.pyannote[1118].start 7154.84534375
transcript.pyannote[1118].end 7155.18284375
transcript.pyannote[1119].speaker SPEAKER_03
transcript.pyannote[1119].start 7155.65534375
transcript.pyannote[1119].end 7158.08534375
transcript.pyannote[1120].speaker SPEAKER_20
transcript.pyannote[1120].start 7158.08534375
transcript.pyannote[1120].end 7158.42284375
transcript.pyannote[1121].speaker SPEAKER_03
transcript.pyannote[1121].start 7158.42284375
transcript.pyannote[1121].end 7159.31721875
transcript.pyannote[1122].speaker SPEAKER_20
transcript.pyannote[1122].start 7159.50284375
transcript.pyannote[1122].end 7160.70096875
transcript.pyannote[1123].speaker SPEAKER_20
transcript.pyannote[1123].start 7161.30846875
transcript.pyannote[1123].end 7161.51096875
transcript.pyannote[1124].speaker SPEAKER_20
transcript.pyannote[1124].start 7161.62909375
transcript.pyannote[1124].end 7162.99596875
transcript.pyannote[1125].speaker SPEAKER_03
transcript.pyannote[1125].start 7163.70471875
transcript.pyannote[1125].end 7165.05471875
transcript.pyannote[1126].speaker SPEAKER_20
transcript.pyannote[1126].start 7163.94096875
transcript.pyannote[1126].end 7166.47221875
transcript.pyannote[1127].speaker SPEAKER_03
transcript.pyannote[1127].start 7166.28659375
transcript.pyannote[1127].end 7168.71659375
transcript.pyannote[1128].speaker SPEAKER_03
transcript.pyannote[1128].start 7168.98659375
transcript.pyannote[1128].end 7175.66909375
transcript.pyannote[1129].speaker SPEAKER_20
transcript.pyannote[1129].start 7175.87159375
transcript.pyannote[1129].end 7185.55784375
transcript.pyannote[1130].speaker SPEAKER_03
transcript.pyannote[1130].start 7186.43534375
transcript.pyannote[1130].end 7187.80221875
transcript.pyannote[1131].speaker SPEAKER_20
transcript.pyannote[1131].start 7187.27909375
transcript.pyannote[1131].end 7188.83159375
transcript.pyannote[1132].speaker SPEAKER_20
transcript.pyannote[1132].start 7189.79346875
transcript.pyannote[1132].end 7192.91534375
transcript.pyannote[1133].speaker SPEAKER_03
transcript.pyannote[1133].start 7192.30784375
transcript.pyannote[1133].end 7192.96596875
transcript.pyannote[1134].speaker SPEAKER_20
transcript.pyannote[1134].start 7192.96596875
transcript.pyannote[1134].end 7194.95721875
transcript.pyannote[1135].speaker SPEAKER_20
transcript.pyannote[1135].start 7195.12596875
transcript.pyannote[1135].end 7199.42909375
transcript.pyannote[1136].speaker SPEAKER_03
transcript.pyannote[1136].start 7198.60221875
transcript.pyannote[1136].end 7203.68159375
transcript.pyannote[1137].speaker SPEAKER_20
transcript.pyannote[1137].start 7203.88409375
transcript.pyannote[1137].end 7204.06971875
transcript.pyannote[1138].speaker SPEAKER_20
transcript.pyannote[1138].start 7204.27221875
transcript.pyannote[1138].end 7206.04409375
transcript.pyannote[1139].speaker SPEAKER_20
transcript.pyannote[1139].start 7207.63034375
transcript.pyannote[1139].end 7211.61284375
transcript.pyannote[1140].speaker SPEAKER_03
transcript.pyannote[1140].start 7207.76534375
transcript.pyannote[1140].end 7209.13221875
transcript.pyannote[1141].speaker SPEAKER_16
transcript.pyannote[1141].start 7211.76471875
transcript.pyannote[1141].end 7211.86596875
transcript.pyannote[1142].speaker SPEAKER_20
transcript.pyannote[1142].start 7211.86596875
transcript.pyannote[1142].end 7215.10596875
transcript.pyannote[1143].speaker SPEAKER_20
transcript.pyannote[1143].start 7215.49409375
transcript.pyannote[1143].end 7220.97846875
transcript.pyannote[1144].speaker SPEAKER_16
transcript.pyannote[1144].start 7218.17721875
transcript.pyannote[1144].end 7218.41346875
transcript.pyannote[1145].speaker SPEAKER_03
transcript.pyannote[1145].start 7218.41346875
transcript.pyannote[1145].end 7218.51471875
transcript.pyannote[1146].speaker SPEAKER_20
transcript.pyannote[1146].start 7221.70409375
transcript.pyannote[1146].end 7222.83471875
transcript.pyannote[1147].speaker SPEAKER_03
transcript.pyannote[1147].start 7223.35784375
transcript.pyannote[1147].end 7225.99034375
transcript.pyannote[1148].speaker SPEAKER_20
transcript.pyannote[1148].start 7223.94846875
transcript.pyannote[1148].end 7225.23096875
transcript.pyannote[1149].speaker SPEAKER_20
transcript.pyannote[1149].start 7227.20534375
transcript.pyannote[1149].end 7227.89721875
transcript.pyannote[1150].speaker SPEAKER_20
transcript.pyannote[1150].start 7228.75784375
transcript.pyannote[1150].end 7231.20471875
transcript.pyannote[1151].speaker SPEAKER_20
transcript.pyannote[1151].start 7232.28471875
transcript.pyannote[1151].end 7232.94284375
transcript.pyannote[1152].speaker SPEAKER_20
transcript.pyannote[1152].start 7233.87096875
transcript.pyannote[1152].end 7234.73159375
transcript.pyannote[1153].speaker SPEAKER_20
transcript.pyannote[1153].start 7238.25846875
transcript.pyannote[1153].end 7239.60846875
transcript.pyannote[1154].speaker SPEAKER_07
transcript.pyannote[1154].start 7240.92471875
transcript.pyannote[1154].end 7241.51534375
transcript.pyannote[1155].speaker SPEAKER_20
transcript.pyannote[1155].start 7241.92034375
transcript.pyannote[1155].end 7243.50659375
transcript.pyannote[1156].speaker SPEAKER_20
transcript.pyannote[1156].start 7245.26159375
transcript.pyannote[1156].end 7246.30784375
transcript.pyannote[1157].speaker SPEAKER_20
transcript.pyannote[1157].start 7247.60721875
transcript.pyannote[1157].end 7249.81784375
transcript.pyannote[1158].speaker SPEAKER_20
transcript.pyannote[1158].start 7251.35346875
transcript.pyannote[1158].end 7252.51784375
transcript.pyannote[1159].speaker SPEAKER_20
transcript.pyannote[1159].start 7253.10846875
transcript.pyannote[1159].end 7254.25596875
transcript.pyannote[1160].speaker SPEAKER_20
transcript.pyannote[1160].start 7255.99409375
transcript.pyannote[1160].end 7257.46221875
transcript.pyannote[1161].speaker SPEAKER_20
transcript.pyannote[1161].start 7257.95159375
transcript.pyannote[1161].end 7258.28909375
transcript.pyannote[1162].speaker SPEAKER_20
transcript.pyannote[1162].start 7259.45346875
transcript.pyannote[1162].end 7262.30534375
transcript.pyannote[1163].speaker SPEAKER_20
transcript.pyannote[1163].start 7263.09846875
transcript.pyannote[1163].end 7264.29659375
transcript.pyannote[1164].speaker SPEAKER_20
transcript.pyannote[1164].start 7265.15721875
transcript.pyannote[1164].end 7267.18221875
transcript.pyannote[1165].speaker SPEAKER_20
transcript.pyannote[1165].start 7268.51534375
transcript.pyannote[1165].end 7270.43909375
transcript.pyannote[1166].speaker SPEAKER_20
transcript.pyannote[1166].start 7270.48971875
transcript.pyannote[1166].end 7275.36659375
transcript.pyannote[1167].speaker SPEAKER_20
transcript.pyannote[1167].start 7276.32846875
transcript.pyannote[1167].end 7277.91471875
transcript.pyannote[1168].speaker SPEAKER_20
transcript.pyannote[1168].start 7278.69096875
transcript.pyannote[1168].end 7279.68659375
transcript.pyannote[1169].speaker SPEAKER_20
transcript.pyannote[1169].start 7280.54721875
transcript.pyannote[1169].end 7281.15471875
transcript.pyannote[1170].speaker SPEAKER_20
transcript.pyannote[1170].start 7281.64409375
transcript.pyannote[1170].end 7283.09534375
transcript.pyannote[1171].speaker SPEAKER_20
transcript.pyannote[1171].start 7283.71971875
transcript.pyannote[1171].end 7285.23846875
transcript.pyannote[1172].speaker SPEAKER_20
transcript.pyannote[1172].start 7285.69409375
transcript.pyannote[1172].end 7287.02721875
transcript.pyannote[1173].speaker SPEAKER_20
transcript.pyannote[1173].start 7287.98909375
transcript.pyannote[1173].end 7291.61721875
transcript.pyannote[1174].speaker SPEAKER_20
transcript.pyannote[1174].start 7293.23721875
transcript.pyannote[1174].end 7296.15659375
transcript.pyannote[1175].speaker SPEAKER_20
transcript.pyannote[1175].start 7296.46034375
transcript.pyannote[1175].end 7297.97909375
transcript.pyannote[1176].speaker SPEAKER_20
transcript.pyannote[1176].start 7298.73846875
transcript.pyannote[1176].end 7299.97034375
transcript.pyannote[1177].speaker SPEAKER_20
transcript.pyannote[1177].start 7300.37534375
transcript.pyannote[1177].end 7303.05846875
transcript.pyannote[1178].speaker SPEAKER_20
transcript.pyannote[1178].start 7304.29034375
transcript.pyannote[1178].end 7307.46284375
transcript.pyannote[1179].speaker SPEAKER_20
transcript.pyannote[1179].start 7307.66534375
transcript.pyannote[1179].end 7311.29346875
transcript.pyannote[1180].speaker SPEAKER_20
transcript.pyannote[1180].start 7311.41159375
transcript.pyannote[1180].end 7312.72784375
transcript.pyannote[1181].speaker SPEAKER_20
transcript.pyannote[1181].start 7313.35221875
transcript.pyannote[1181].end 7315.88346875
transcript.pyannote[1182].speaker SPEAKER_20
transcript.pyannote[1182].start 7316.45721875
transcript.pyannote[1182].end 7317.82409375
transcript.pyannote[1183].speaker SPEAKER_20
transcript.pyannote[1183].start 7318.31346875
transcript.pyannote[1183].end 7319.08971875
transcript.pyannote[1184].speaker SPEAKER_07
transcript.pyannote[1184].start 7319.56221875
transcript.pyannote[1184].end 7322.17784375
transcript.pyannote[1185].speaker SPEAKER_07
transcript.pyannote[1185].start 7322.26221875
transcript.pyannote[1185].end 7328.16846875
transcript.pyannote[1186].speaker SPEAKER_07
transcript.pyannote[1186].start 7328.28659375
transcript.pyannote[1186].end 7331.66159375
transcript.pyannote[1187].speaker SPEAKER_20
transcript.pyannote[1187].start 7331.94846875
transcript.pyannote[1187].end 7333.63596875
transcript.pyannote[1188].speaker SPEAKER_07
transcript.pyannote[1188].start 7333.80471875
transcript.pyannote[1188].end 7333.97346875
transcript.pyannote[1189].speaker SPEAKER_16
transcript.pyannote[1189].start 7333.97346875
transcript.pyannote[1189].end 7334.17596875
transcript.pyannote[1190].speaker SPEAKER_07
transcript.pyannote[1190].start 7334.17596875
transcript.pyannote[1190].end 7334.20971875
transcript.pyannote[1191].speaker SPEAKER_20
transcript.pyannote[1191].start 7334.20971875
transcript.pyannote[1191].end 7336.38659375
transcript.pyannote[1192].speaker SPEAKER_20
transcript.pyannote[1192].start 7336.84221875
transcript.pyannote[1192].end 7338.96846875
transcript.pyannote[1193].speaker SPEAKER_20
transcript.pyannote[1193].start 7339.42409375
transcript.pyannote[1193].end 7341.36471875
transcript.pyannote[1194].speaker SPEAKER_20
transcript.pyannote[1194].start 7341.83721875
transcript.pyannote[1194].end 7342.20846875
transcript.pyannote[1195].speaker SPEAKER_20
transcript.pyannote[1195].start 7342.69784375
transcript.pyannote[1195].end 7345.04346875
transcript.pyannote[1196].speaker SPEAKER_20
transcript.pyannote[1196].start 7346.24159375
transcript.pyannote[1196].end 7347.79409375
transcript.pyannote[1197].speaker SPEAKER_20
transcript.pyannote[1197].start 7348.21596875
transcript.pyannote[1197].end 7350.64596875
transcript.pyannote[1198].speaker SPEAKER_20
transcript.pyannote[1198].start 7351.05096875
transcript.pyannote[1198].end 7353.54846875
transcript.pyannote[1199].speaker SPEAKER_20
transcript.pyannote[1199].start 7353.97034375
transcript.pyannote[1199].end 7358.86409375
transcript.pyannote[1200].speaker SPEAKER_07
transcript.pyannote[1200].start 7358.05409375
transcript.pyannote[1200].end 7360.50096875
transcript.pyannote[1201].speaker SPEAKER_20
transcript.pyannote[1201].start 7360.24784375
transcript.pyannote[1201].end 7364.23034375
transcript.pyannote[1202].speaker SPEAKER_07
transcript.pyannote[1202].start 7364.31471875
transcript.pyannote[1202].end 7365.12471875
transcript.pyannote[1203].speaker SPEAKER_20
transcript.pyannote[1203].start 7365.12471875
transcript.pyannote[1203].end 7367.11596875
transcript.pyannote[1204].speaker SPEAKER_07
transcript.pyannote[1204].start 7365.49596875
transcript.pyannote[1204].end 7366.39034375
transcript.pyannote[1205].speaker SPEAKER_10
transcript.pyannote[1205].start 7367.11596875
transcript.pyannote[1205].end 7367.13284375
transcript.pyannote[1206].speaker SPEAKER_20
transcript.pyannote[1206].start 7368.92159375
transcript.pyannote[1206].end 7368.93846875
transcript.pyannote[1207].speaker SPEAKER_10
transcript.pyannote[1207].start 7368.93846875
transcript.pyannote[1207].end 7371.06471875
transcript.pyannote[1208].speaker SPEAKER_10
transcript.pyannote[1208].start 7372.07721875
transcript.pyannote[1208].end 7378.81034375
transcript.pyannote[1209].speaker SPEAKER_26
transcript.pyannote[1209].start 7389.52596875
transcript.pyannote[1209].end 7392.07409375
transcript.pyannote[1210].speaker SPEAKER_26
transcript.pyannote[1210].start 7392.49596875
transcript.pyannote[1210].end 7393.59284375
transcript.pyannote[1211].speaker SPEAKER_26
transcript.pyannote[1211].start 7403.41409375
transcript.pyannote[1211].end 7421.67284375
transcript.pyannote[1212].speaker SPEAKER_16
transcript.pyannote[1212].start 7421.67284375
transcript.pyannote[1212].end 7421.92596875
transcript.pyannote[1213].speaker SPEAKER_26
transcript.pyannote[1213].start 7421.92596875
transcript.pyannote[1213].end 7441.41659375
transcript.pyannote[1214].speaker SPEAKER_16
transcript.pyannote[1214].start 7441.41659375
transcript.pyannote[1214].end 7442.07471875
transcript.pyannote[1215].speaker SPEAKER_26
transcript.pyannote[1215].start 7441.53471875
transcript.pyannote[1215].end 7467.65721875
transcript.pyannote[1216].speaker SPEAKER_16
transcript.pyannote[1216].start 7447.10346875
transcript.pyannote[1216].end 7447.66034375
transcript.pyannote[1217].speaker SPEAKER_16
transcript.pyannote[1217].start 7467.65721875
transcript.pyannote[1217].end 7468.09596875
transcript.pyannote[1218].speaker SPEAKER_26
transcript.pyannote[1218].start 7468.48409375
transcript.pyannote[1218].end 7477.02284375
transcript.pyannote[1219].speaker SPEAKER_05
transcript.pyannote[1219].start 7477.02284375
transcript.pyannote[1219].end 7503.75284375
transcript.pyannote[1220].speaker SPEAKER_05
transcript.pyannote[1220].start 7503.93846875
transcript.pyannote[1220].end 7503.98909375
transcript.pyannote[1221].speaker SPEAKER_05
transcript.pyannote[1221].start 7504.14096875
transcript.pyannote[1221].end 7514.97471875
transcript.pyannote[1222].speaker SPEAKER_26
transcript.pyannote[1222].start 7514.97471875
transcript.pyannote[1222].end 7530.49971875
transcript.pyannote[1223].speaker SPEAKER_05
transcript.pyannote[1223].start 7515.14346875
transcript.pyannote[1223].end 7516.64534375
transcript.pyannote[1224].speaker SPEAKER_05
transcript.pyannote[1224].start 7530.56721875
transcript.pyannote[1224].end 7537.18221875
transcript.pyannote[1225].speaker SPEAKER_05
transcript.pyannote[1225].start 7537.55346875
transcript.pyannote[1225].end 7544.89409375
transcript.pyannote[1226].speaker SPEAKER_26
transcript.pyannote[1226].start 7542.70034375
transcript.pyannote[1226].end 7567.20284375
transcript.pyannote[1227].speaker SPEAKER_05
transcript.pyannote[1227].start 7545.26534375
transcript.pyannote[1227].end 7545.73784375
transcript.pyannote[1228].speaker SPEAKER_05
transcript.pyannote[1228].start 7547.77971875
transcript.pyannote[1228].end 7547.98221875
transcript.pyannote[1229].speaker SPEAKER_06
transcript.pyannote[1229].start 7552.60596875
transcript.pyannote[1229].end 7552.63971875
transcript.pyannote[1230].speaker SPEAKER_17
transcript.pyannote[1230].start 7552.63971875
transcript.pyannote[1230].end 7552.96034375
transcript.pyannote[1231].speaker SPEAKER_06
transcript.pyannote[1231].start 7552.96034375
transcript.pyannote[1231].end 7553.02784375
transcript.pyannote[1232].speaker SPEAKER_16
transcript.pyannote[1232].start 7564.26659375
transcript.pyannote[1232].end 7564.70534375
transcript.pyannote[1233].speaker SPEAKER_00
transcript.pyannote[1233].start 7564.70534375
transcript.pyannote[1233].end 7564.84034375
transcript.pyannote[1234].speaker SPEAKER_16
transcript.pyannote[1234].start 7564.84034375
transcript.pyannote[1234].end 7564.85721875
transcript.pyannote[1235].speaker SPEAKER_00
transcript.pyannote[1235].start 7564.85721875
transcript.pyannote[1235].end 7564.89096875
transcript.pyannote[1236].speaker SPEAKER_16
transcript.pyannote[1236].start 7564.89096875
transcript.pyannote[1236].end 7564.92471875
transcript.pyannote[1237].speaker SPEAKER_00
transcript.pyannote[1237].start 7564.92471875
transcript.pyannote[1237].end 7565.02596875
transcript.pyannote[1238].speaker SPEAKER_26
transcript.pyannote[1238].start 7567.64159375
transcript.pyannote[1238].end 7572.02909375
transcript.pyannote[1239].speaker SPEAKER_05
transcript.pyannote[1239].start 7572.02909375
transcript.pyannote[1239].end 7573.31159375
transcript.pyannote[1240].speaker SPEAKER_26
transcript.pyannote[1240].start 7573.31159375
transcript.pyannote[1240].end 7574.00346875
transcript.pyannote[1241].speaker SPEAKER_05
transcript.pyannote[1241].start 7573.48034375
transcript.pyannote[1241].end 7573.88534375
transcript.pyannote[1242].speaker SPEAKER_05
transcript.pyannote[1242].start 7574.00346875
transcript.pyannote[1242].end 7574.03721875
transcript.pyannote[1243].speaker SPEAKER_26
transcript.pyannote[1243].start 7574.03721875
transcript.pyannote[1243].end 7577.46284375
transcript.pyannote[1244].speaker SPEAKER_05
transcript.pyannote[1244].start 7574.34096875
transcript.pyannote[1244].end 7575.01596875
transcript.pyannote[1245].speaker SPEAKER_03
transcript.pyannote[1245].start 7585.68096875
transcript.pyannote[1245].end 7586.44034375
transcript.pyannote[1246].speaker SPEAKER_26
transcript.pyannote[1246].start 7586.72721875
transcript.pyannote[1246].end 7623.32909375
transcript.pyannote[1247].speaker SPEAKER_26
transcript.pyannote[1247].start 7623.54846875
transcript.pyannote[1247].end 7641.03096875
transcript.pyannote[1248].speaker SPEAKER_03
transcript.pyannote[1248].start 7641.50346875
transcript.pyannote[1248].end 7645.06409375
transcript.pyannote[1249].speaker SPEAKER_26
transcript.pyannote[1249].start 7644.11909375
transcript.pyannote[1249].end 7644.43971875
transcript.pyannote[1250].speaker SPEAKER_03
transcript.pyannote[1250].start 7645.41846875
transcript.pyannote[1250].end 7648.15221875
transcript.pyannote[1251].speaker SPEAKER_03
transcript.pyannote[1251].start 7648.43909375
transcript.pyannote[1251].end 7651.37534375
transcript.pyannote[1252].speaker SPEAKER_03
transcript.pyannote[1252].start 7651.74659375
transcript.pyannote[1252].end 7655.25659375
transcript.pyannote[1253].speaker SPEAKER_03
transcript.pyannote[1253].start 7655.52659375
transcript.pyannote[1253].end 7658.76659375
transcript.pyannote[1254].speaker SPEAKER_03
transcript.pyannote[1254].start 7659.12096875
transcript.pyannote[1254].end 7663.45784375
transcript.pyannote[1255].speaker SPEAKER_03
transcript.pyannote[1255].start 7664.23409375
transcript.pyannote[1255].end 7668.63846875
transcript.pyannote[1256].speaker SPEAKER_03
transcript.pyannote[1256].start 7669.11096875
transcript.pyannote[1256].end 7674.02159375
transcript.pyannote[1257].speaker SPEAKER_03
transcript.pyannote[1257].start 7674.29159375
transcript.pyannote[1257].end 7678.34159375
transcript.pyannote[1258].speaker SPEAKER_26
transcript.pyannote[1258].start 7678.34159375
transcript.pyannote[1258].end 7680.40034375
transcript.pyannote[1259].speaker SPEAKER_03
transcript.pyannote[1259].start 7678.44284375
transcript.pyannote[1259].end 7679.35409375
transcript.pyannote[1260].speaker SPEAKER_03
transcript.pyannote[1260].start 7680.24846875
transcript.pyannote[1260].end 7685.61471875
transcript.pyannote[1261].speaker SPEAKER_26
transcript.pyannote[1261].start 7686.15471875
transcript.pyannote[1261].end 7717.72784375
transcript.pyannote[1262].speaker SPEAKER_03
transcript.pyannote[1262].start 7717.93034375
transcript.pyannote[1262].end 7722.03096875
transcript.pyannote[1263].speaker SPEAKER_03
transcript.pyannote[1263].start 7722.21659375
transcript.pyannote[1263].end 7724.25846875
transcript.pyannote[1264].speaker SPEAKER_03
transcript.pyannote[1264].start 7724.66346875
transcript.pyannote[1264].end 7725.37221875
transcript.pyannote[1265].speaker SPEAKER_03
transcript.pyannote[1265].start 7725.47346875
transcript.pyannote[1265].end 7727.17784375
transcript.pyannote[1266].speaker SPEAKER_03
transcript.pyannote[1266].start 7727.76846875
transcript.pyannote[1266].end 7731.73409375
transcript.pyannote[1267].speaker SPEAKER_03
transcript.pyannote[1267].start 7732.08846875
transcript.pyannote[1267].end 7733.72534375
transcript.pyannote[1268].speaker SPEAKER_03
transcript.pyannote[1268].start 7734.13034375
transcript.pyannote[1268].end 7739.02409375
transcript.pyannote[1269].speaker SPEAKER_03
transcript.pyannote[1269].start 7739.61471875
transcript.pyannote[1269].end 7740.99846875
transcript.pyannote[1270].speaker SPEAKER_03
transcript.pyannote[1270].start 7741.31909375
transcript.pyannote[1270].end 7745.04846875
transcript.pyannote[1271].speaker SPEAKER_03
transcript.pyannote[1271].start 7745.08221875
transcript.pyannote[1271].end 7745.09909375
transcript.pyannote[1272].speaker SPEAKER_03
transcript.pyannote[1272].start 7745.52096875
transcript.pyannote[1272].end 7752.57471875
transcript.pyannote[1273].speaker SPEAKER_03
transcript.pyannote[1273].start 7752.94596875
transcript.pyannote[1273].end 7758.26159375
transcript.pyannote[1274].speaker SPEAKER_03
transcript.pyannote[1274].start 7758.51471875
transcript.pyannote[1274].end 7760.92784375
transcript.pyannote[1275].speaker SPEAKER_03
transcript.pyannote[1275].start 7761.33284375
transcript.pyannote[1275].end 7768.33596875
transcript.pyannote[1276].speaker SPEAKER_03
transcript.pyannote[1276].start 7768.70721875
transcript.pyannote[1276].end 7770.52971875
transcript.pyannote[1277].speaker SPEAKER_26
transcript.pyannote[1277].start 7770.52971875
transcript.pyannote[1277].end 7790.12159375
transcript.pyannote[1278].speaker SPEAKER_26
transcript.pyannote[1278].start 7790.35784375
transcript.pyannote[1278].end 7807.38471875
transcript.pyannote[1279].speaker SPEAKER_26
transcript.pyannote[1279].start 7807.70534375
transcript.pyannote[1279].end 7813.93221875
transcript.pyannote[1280].speaker SPEAKER_03
transcript.pyannote[1280].start 7814.99534375
transcript.pyannote[1280].end 7822.87596875
transcript.pyannote[1281].speaker SPEAKER_26
transcript.pyannote[1281].start 7820.10846875
transcript.pyannote[1281].end 7821.34034375
transcript.pyannote[1282].speaker SPEAKER_26
transcript.pyannote[1282].start 7822.97721875
transcript.pyannote[1282].end 7825.47471875
transcript.pyannote[1283].speaker SPEAKER_26
transcript.pyannote[1283].start 7825.74471875
transcript.pyannote[1283].end 7827.71909375
transcript.pyannote[1284].speaker SPEAKER_03
transcript.pyannote[1284].start 7828.22534375
transcript.pyannote[1284].end 7831.41471875
transcript.pyannote[1285].speaker SPEAKER_03
transcript.pyannote[1285].start 7831.68471875
transcript.pyannote[1285].end 7834.16534375
transcript.pyannote[1286].speaker SPEAKER_26
transcript.pyannote[1286].start 7833.38909375
transcript.pyannote[1286].end 7836.96659375
transcript.pyannote[1287].speaker SPEAKER_03
transcript.pyannote[1287].start 7835.58284375
transcript.pyannote[1287].end 7835.83596875
transcript.pyannote[1288].speaker SPEAKER_03
transcript.pyannote[1288].start 7837.08471875
transcript.pyannote[1288].end 7844.03721875
transcript.pyannote[1289].speaker SPEAKER_03
transcript.pyannote[1289].start 7844.98221875
transcript.pyannote[1289].end 7849.33596875
transcript.pyannote[1290].speaker SPEAKER_26
transcript.pyannote[1290].start 7845.03284375
transcript.pyannote[1290].end 7846.38284375
transcript.pyannote[1291].speaker SPEAKER_26
transcript.pyannote[1291].start 7849.53846875
transcript.pyannote[1291].end 7854.58409375
transcript.pyannote[1292].speaker SPEAKER_03
transcript.pyannote[1292].start 7856.27159375
transcript.pyannote[1292].end 7860.99659375
transcript.pyannote[1293].speaker SPEAKER_03
transcript.pyannote[1293].start 7861.19909375
transcript.pyannote[1293].end 7864.47284375
transcript.pyannote[1294].speaker SPEAKER_26
transcript.pyannote[1294].start 7864.47284375
transcript.pyannote[1294].end 7869.61971875
transcript.pyannote[1295].speaker SPEAKER_26
transcript.pyannote[1295].start 7869.87284375
transcript.pyannote[1295].end 7871.10471875
transcript.pyannote[1296].speaker SPEAKER_26
transcript.pyannote[1296].start 7871.37471875
transcript.pyannote[1296].end 7875.18846875
transcript.pyannote[1297].speaker SPEAKER_03
transcript.pyannote[1297].start 7874.93534375
transcript.pyannote[1297].end 7878.46221875
transcript.pyannote[1298].speaker SPEAKER_03
transcript.pyannote[1298].start 7878.74909375
transcript.pyannote[1298].end 7884.80721875
transcript.pyannote[1299].speaker SPEAKER_03
transcript.pyannote[1299].start 7885.22909375
transcript.pyannote[1299].end 7888.68846875
transcript.pyannote[1300].speaker SPEAKER_03
transcript.pyannote[1300].start 7889.11034375
transcript.pyannote[1300].end 7895.18534375
transcript.pyannote[1301].speaker SPEAKER_26
transcript.pyannote[1301].start 7895.84346875
transcript.pyannote[1301].end 7900.33221875
transcript.pyannote[1302].speaker SPEAKER_16
transcript.pyannote[1302].start 7900.33221875
transcript.pyannote[1302].end 7900.51784375
transcript.pyannote[1303].speaker SPEAKER_26
transcript.pyannote[1303].start 7900.51784375
transcript.pyannote[1303].end 7929.88034375
transcript.pyannote[1304].speaker SPEAKER_03
transcript.pyannote[1304].start 7929.71159375
transcript.pyannote[1304].end 7933.23846875
transcript.pyannote[1305].speaker SPEAKER_03
transcript.pyannote[1305].start 7933.45784375
transcript.pyannote[1305].end 7934.79096875
transcript.pyannote[1306].speaker SPEAKER_26
transcript.pyannote[1306].start 7934.26784375
transcript.pyannote[1306].end 7937.03534375
transcript.pyannote[1307].speaker SPEAKER_03
transcript.pyannote[1307].start 7937.03534375
transcript.pyannote[1307].end 7937.62596875
transcript.pyannote[1308].speaker SPEAKER_26
transcript.pyannote[1308].start 7937.62596875
transcript.pyannote[1308].end 7937.64284375
transcript.pyannote[1309].speaker SPEAKER_03
transcript.pyannote[1309].start 7937.64284375
transcript.pyannote[1309].end 7939.88721875
transcript.pyannote[1310].speaker SPEAKER_26
transcript.pyannote[1310].start 7937.82846875
transcript.pyannote[1310].end 7938.11534375
transcript.pyannote[1311].speaker SPEAKER_26
transcript.pyannote[1311].start 7939.38096875
transcript.pyannote[1311].end 7941.72659375
transcript.pyannote[1312].speaker SPEAKER_03
transcript.pyannote[1312].start 7941.47346875
transcript.pyannote[1312].end 7945.65846875
transcript.pyannote[1313].speaker SPEAKER_26
transcript.pyannote[1313].start 7944.76409375
transcript.pyannote[1313].end 7948.83096875
transcript.pyannote[1314].speaker SPEAKER_26
transcript.pyannote[1314].start 7949.20221875
transcript.pyannote[1314].end 7953.21846875
transcript.pyannote[1315].speaker SPEAKER_03
transcript.pyannote[1315].start 7953.28596875
transcript.pyannote[1315].end 7958.11221875
transcript.pyannote[1316].speaker SPEAKER_26
transcript.pyannote[1316].start 7957.87596875
transcript.pyannote[1316].end 7962.56721875
transcript.pyannote[1317].speaker SPEAKER_03
transcript.pyannote[1317].start 7962.31409375
transcript.pyannote[1317].end 7968.08534375
transcript.pyannote[1318].speaker SPEAKER_26
transcript.pyannote[1318].start 7968.08534375
transcript.pyannote[1318].end 7971.62909375
transcript.pyannote[1319].speaker SPEAKER_03
transcript.pyannote[1319].start 7972.42221875
transcript.pyannote[1319].end 7977.90659375
transcript.pyannote[1320].speaker SPEAKER_26
transcript.pyannote[1320].start 7977.50159375
transcript.pyannote[1320].end 7977.85596875
transcript.pyannote[1321].speaker SPEAKER_26
transcript.pyannote[1321].start 7977.90659375
transcript.pyannote[1321].end 8010.79596875
transcript.pyannote[1322].speaker SPEAKER_16
transcript.pyannote[1322].start 7988.92596875
transcript.pyannote[1322].end 7988.95971875
transcript.pyannote[1323].speaker SPEAKER_16
transcript.pyannote[1323].start 7989.02721875
transcript.pyannote[1323].end 7989.22971875
transcript.pyannote[1324].speaker SPEAKER_03
transcript.pyannote[1324].start 8010.79596875
transcript.pyannote[1324].end 8013.47909375
transcript.pyannote[1325].speaker SPEAKER_26
transcript.pyannote[1325].start 8011.26846875
transcript.pyannote[1325].end 8011.85909375
transcript.pyannote[1326].speaker SPEAKER_26
transcript.pyannote[1326].start 8012.44971875
transcript.pyannote[1326].end 8013.44534375
transcript.pyannote[1327].speaker SPEAKER_26
transcript.pyannote[1327].start 8013.47909375
transcript.pyannote[1327].end 8014.08659375
transcript.pyannote[1328].speaker SPEAKER_10
transcript.pyannote[1328].start 8016.28034375
transcript.pyannote[1328].end 8020.63409375
transcript.pyannote[1329].speaker SPEAKER_04
transcript.pyannote[1329].start 8033.47596875
transcript.pyannote[1329].end 8034.58971875
transcript.pyannote[1330].speaker SPEAKER_04
transcript.pyannote[1330].start 8035.16346875
transcript.pyannote[1330].end 8036.90159375
transcript.pyannote[1331].speaker SPEAKER_04
transcript.pyannote[1331].start 8037.27284375
transcript.pyannote[1331].end 8037.50909375
transcript.pyannote[1332].speaker SPEAKER_04
transcript.pyannote[1332].start 8038.18409375
transcript.pyannote[1332].end 8039.66909375
transcript.pyannote[1333].speaker SPEAKER_03
transcript.pyannote[1333].start 8047.39784375
transcript.pyannote[1333].end 8047.95471875
transcript.pyannote[1334].speaker SPEAKER_04
transcript.pyannote[1334].start 8048.49471875
transcript.pyannote[1334].end 8052.07221875
transcript.pyannote[1335].speaker SPEAKER_04
transcript.pyannote[1335].start 8052.69659375
transcript.pyannote[1335].end 8057.18534375
transcript.pyannote[1336].speaker SPEAKER_04
transcript.pyannote[1336].start 8057.65784375
transcript.pyannote[1336].end 8061.72471875
transcript.pyannote[1337].speaker SPEAKER_04
transcript.pyannote[1337].start 8062.12971875
transcript.pyannote[1337].end 8069.79096875
transcript.pyannote[1338].speaker SPEAKER_04
transcript.pyannote[1338].start 8070.19596875
transcript.pyannote[1338].end 8074.93784375
transcript.pyannote[1339].speaker SPEAKER_16
transcript.pyannote[1339].start 8074.93784375
transcript.pyannote[1339].end 8075.34284375
transcript.pyannote[1340].speaker SPEAKER_04
transcript.pyannote[1340].start 8075.20784375
transcript.pyannote[1340].end 8083.35846875
transcript.pyannote[1341].speaker SPEAKER_16
transcript.pyannote[1341].start 8077.73909375
transcript.pyannote[1341].end 8077.80659375
transcript.pyannote[1342].speaker SPEAKER_04
transcript.pyannote[1342].start 8084.74221875
transcript.pyannote[1342].end 8087.25659375
transcript.pyannote[1343].speaker SPEAKER_03
transcript.pyannote[1343].start 8087.15534375
transcript.pyannote[1343].end 8093.58471875
transcript.pyannote[1344].speaker SPEAKER_04
transcript.pyannote[1344].start 8088.89346875
transcript.pyannote[1344].end 8090.14221875
transcript.pyannote[1345].speaker SPEAKER_04
transcript.pyannote[1345].start 8093.80409375
transcript.pyannote[1345].end 8109.31221875
transcript.pyannote[1346].speaker SPEAKER_04
transcript.pyannote[1346].start 8109.48096875
transcript.pyannote[1346].end 8118.93096875
transcript.pyannote[1347].speaker SPEAKER_04
transcript.pyannote[1347].start 8119.42034375
transcript.pyannote[1347].end 8121.24284375
transcript.pyannote[1348].speaker SPEAKER_04
transcript.pyannote[1348].start 8121.59721875
transcript.pyannote[1348].end 8132.00909375
transcript.pyannote[1349].speaker SPEAKER_04
transcript.pyannote[1349].start 8132.19471875
transcript.pyannote[1349].end 8134.70909375
transcript.pyannote[1350].speaker SPEAKER_16
transcript.pyannote[1350].start 8134.70909375
transcript.pyannote[1350].end 8135.02971875
transcript.pyannote[1351].speaker SPEAKER_04
transcript.pyannote[1351].start 8135.35034375
transcript.pyannote[1351].end 8138.77596875
transcript.pyannote[1352].speaker SPEAKER_04
transcript.pyannote[1352].start 8139.29909375
transcript.pyannote[1352].end 8141.00346875
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 8141.89784375
transcript.pyannote[1353].end 8143.50096875
transcript.pyannote[1354].speaker SPEAKER_04
transcript.pyannote[1354].start 8143.88909375
transcript.pyannote[1354].end 8144.80034375
transcript.pyannote[1355].speaker SPEAKER_04
transcript.pyannote[1355].start 8145.30659375
transcript.pyannote[1355].end 8147.28096875
transcript.pyannote[1356].speaker SPEAKER_03
transcript.pyannote[1356].start 8145.86346875
transcript.pyannote[1356].end 8153.96346875
transcript.pyannote[1357].speaker SPEAKER_04
transcript.pyannote[1357].start 8148.52971875
transcript.pyannote[1357].end 8148.95159375
transcript.pyannote[1358].speaker SPEAKER_03
transcript.pyannote[1358].start 8154.46971875
transcript.pyannote[1358].end 8157.33846875
transcript.pyannote[1359].speaker SPEAKER_03
transcript.pyannote[1359].start 8157.52409375
transcript.pyannote[1359].end 8160.81471875
transcript.pyannote[1360].speaker SPEAKER_03
transcript.pyannote[1360].start 8161.21971875
transcript.pyannote[1360].end 8164.66221875
transcript.pyannote[1361].speaker SPEAKER_04
transcript.pyannote[1361].start 8164.66221875
transcript.pyannote[1361].end 8172.64409375
transcript.pyannote[1362].speaker SPEAKER_03
transcript.pyannote[1362].start 8166.23159375
transcript.pyannote[1362].end 8166.29909375
transcript.pyannote[1363].speaker SPEAKER_04
transcript.pyannote[1363].start 8172.99846875
transcript.pyannote[1363].end 8180.77784375
transcript.pyannote[1364].speaker SPEAKER_04
transcript.pyannote[1364].start 8181.46971875
transcript.pyannote[1364].end 8191.49346875
transcript.pyannote[1365].speaker SPEAKER_04
transcript.pyannote[1365].start 8191.93221875
transcript.pyannote[1365].end 8192.89409375
transcript.pyannote[1366].speaker SPEAKER_04
transcript.pyannote[1366].start 8193.28221875
transcript.pyannote[1366].end 8205.38159375
transcript.pyannote[1367].speaker SPEAKER_16
transcript.pyannote[1367].start 8199.50909375
transcript.pyannote[1367].end 8199.62721875
transcript.pyannote[1368].speaker SPEAKER_16
transcript.pyannote[1368].start 8199.69471875
transcript.pyannote[1368].end 8199.88034375
transcript.pyannote[1369].speaker SPEAKER_03
transcript.pyannote[1369].start 8205.46596875
transcript.pyannote[1369].end 8212.03034375
transcript.pyannote[1370].speaker SPEAKER_04
transcript.pyannote[1370].start 8212.03034375
transcript.pyannote[1370].end 8218.72971875
transcript.pyannote[1371].speaker SPEAKER_16
transcript.pyannote[1371].start 8218.72971875
transcript.pyannote[1371].end 8219.01659375
transcript.pyannote[1372].speaker SPEAKER_04
transcript.pyannote[1372].start 8219.33721875
transcript.pyannote[1372].end 8219.65784375
transcript.pyannote[1373].speaker SPEAKER_04
transcript.pyannote[1373].start 8219.91096875
transcript.pyannote[1373].end 8225.56409375
transcript.pyannote[1374].speaker SPEAKER_16
transcript.pyannote[1374].start 8225.83409375
transcript.pyannote[1374].end 8225.90159375
transcript.pyannote[1375].speaker SPEAKER_04
transcript.pyannote[1375].start 8226.07034375
transcript.pyannote[1375].end 8226.93096875
transcript.pyannote[1376].speaker SPEAKER_04
transcript.pyannote[1376].start 8227.13346875
transcript.pyannote[1376].end 8238.08534375
transcript.pyannote[1377].speaker SPEAKER_04
transcript.pyannote[1377].start 8238.97971875
transcript.pyannote[1377].end 8240.85284375
transcript.pyannote[1378].speaker SPEAKER_03
transcript.pyannote[1378].start 8240.92034375
transcript.pyannote[1378].end 8241.32534375
transcript.pyannote[1379].speaker SPEAKER_03
transcript.pyannote[1379].start 8241.47721875
transcript.pyannote[1379].end 8242.99596875
transcript.pyannote[1380].speaker SPEAKER_03
transcript.pyannote[1380].start 8243.33346875
transcript.pyannote[1380].end 8247.11346875
transcript.pyannote[1381].speaker SPEAKER_03
transcript.pyannote[1381].start 8247.95721875
transcript.pyannote[1381].end 8253.30659375
transcript.pyannote[1382].speaker SPEAKER_04
transcript.pyannote[1382].start 8253.54284375
transcript.pyannote[1382].end 8255.41596875
transcript.pyannote[1383].speaker SPEAKER_04
transcript.pyannote[1383].start 8256.95159375
transcript.pyannote[1383].end 8267.65034375
transcript.pyannote[1384].speaker SPEAKER_03
transcript.pyannote[1384].start 8267.93721875
transcript.pyannote[1384].end 8268.12284375
transcript.pyannote[1385].speaker SPEAKER_04
transcript.pyannote[1385].start 8268.12284375
transcript.pyannote[1385].end 8268.17346875
transcript.pyannote[1386].speaker SPEAKER_04
transcript.pyannote[1386].start 8268.76409375
transcript.pyannote[1386].end 8270.95784375
transcript.pyannote[1387].speaker SPEAKER_03
transcript.pyannote[1387].start 8270.94096875
transcript.pyannote[1387].end 8274.33284375
transcript.pyannote[1388].speaker SPEAKER_04
transcript.pyannote[1388].start 8274.46784375
transcript.pyannote[1388].end 8278.92284375
transcript.pyannote[1389].speaker SPEAKER_16
transcript.pyannote[1389].start 8278.82159375
transcript.pyannote[1389].end 8278.87221875
transcript.pyannote[1390].speaker SPEAKER_16
transcript.pyannote[1390].start 8278.92284375
transcript.pyannote[1390].end 8279.47971875
transcript.pyannote[1391].speaker SPEAKER_04
transcript.pyannote[1391].start 8279.47971875
transcript.pyannote[1391].end 8287.02284375
transcript.pyannote[1392].speaker SPEAKER_04
transcript.pyannote[1392].start 8287.37721875
transcript.pyannote[1392].end 8289.25034375
transcript.pyannote[1393].speaker SPEAKER_16
transcript.pyannote[1393].start 8289.25034375
transcript.pyannote[1393].end 8289.55409375
transcript.pyannote[1394].speaker SPEAKER_04
transcript.pyannote[1394].start 8290.22909375
transcript.pyannote[1394].end 8298.12659375
transcript.pyannote[1395].speaker SPEAKER_04
transcript.pyannote[1395].start 8298.27846875
transcript.pyannote[1395].end 8301.55221875
transcript.pyannote[1396].speaker SPEAKER_04
transcript.pyannote[1396].start 8301.75471875
transcript.pyannote[1396].end 8302.27784375
transcript.pyannote[1397].speaker SPEAKER_04
transcript.pyannote[1397].start 8302.36221875
transcript.pyannote[1397].end 8303.50971875
transcript.pyannote[1398].speaker SPEAKER_04
transcript.pyannote[1398].start 8303.88096875
transcript.pyannote[1398].end 8309.02784375
transcript.pyannote[1399].speaker SPEAKER_04
transcript.pyannote[1399].start 8309.11221875
transcript.pyannote[1399].end 8311.79534375
transcript.pyannote[1400].speaker SPEAKER_04
transcript.pyannote[1400].start 8312.82471875
transcript.pyannote[1400].end 8316.11534375
transcript.pyannote[1401].speaker SPEAKER_04
transcript.pyannote[1401].start 8316.65534375
transcript.pyannote[1401].end 8318.91659375
transcript.pyannote[1402].speaker SPEAKER_03
transcript.pyannote[1402].start 8319.20346875
transcript.pyannote[1402].end 8327.32034375
transcript.pyannote[1403].speaker SPEAKER_04
transcript.pyannote[1403].start 8327.52284375
transcript.pyannote[1403].end 8328.72096875
transcript.pyannote[1404].speaker SPEAKER_03
transcript.pyannote[1404].start 8327.79284375
transcript.pyannote[1404].end 8330.25659375
transcript.pyannote[1405].speaker SPEAKER_04
transcript.pyannote[1405].start 8330.25659375
transcript.pyannote[1405].end 8330.76284375
transcript.pyannote[1406].speaker SPEAKER_03
transcript.pyannote[1406].start 8330.69534375
transcript.pyannote[1406].end 8337.12471875
transcript.pyannote[1407].speaker SPEAKER_04
transcript.pyannote[1407].start 8335.55534375
transcript.pyannote[1407].end 8336.07846875
transcript.pyannote[1408].speaker SPEAKER_04
transcript.pyannote[1408].start 8336.51721875
transcript.pyannote[1408].end 8341.03971875
transcript.pyannote[1409].speaker SPEAKER_03
transcript.pyannote[1409].start 8338.37346875
transcript.pyannote[1409].end 8338.84596875
transcript.pyannote[1410].speaker SPEAKER_16
transcript.pyannote[1410].start 8341.24221875
transcript.pyannote[1410].end 8341.51221875
transcript.pyannote[1411].speaker SPEAKER_04
transcript.pyannote[1411].start 8341.57971875
transcript.pyannote[1411].end 8345.74784375
transcript.pyannote[1412].speaker SPEAKER_16
transcript.pyannote[1412].start 8346.40596875
transcript.pyannote[1412].end 8346.76034375
transcript.pyannote[1413].speaker SPEAKER_04
transcript.pyannote[1413].start 8346.70971875
transcript.pyannote[1413].end 8349.69659375
transcript.pyannote[1414].speaker SPEAKER_04
transcript.pyannote[1414].start 8350.13534375
transcript.pyannote[1414].end 8356.54784375
transcript.pyannote[1415].speaker SPEAKER_04
transcript.pyannote[1415].start 8357.10471875
transcript.pyannote[1415].end 8360.63159375
transcript.pyannote[1416].speaker SPEAKER_16
transcript.pyannote[1416].start 8360.83409375
transcript.pyannote[1416].end 8361.20534375
transcript.pyannote[1417].speaker SPEAKER_04
transcript.pyannote[1417].start 8361.88034375
transcript.pyannote[1417].end 8366.26784375
transcript.pyannote[1418].speaker SPEAKER_04
transcript.pyannote[1418].start 8366.74034375
transcript.pyannote[1418].end 8372.84909375
transcript.pyannote[1419].speaker SPEAKER_03
transcript.pyannote[1419].start 8373.89534375
transcript.pyannote[1419].end 8377.82721875
transcript.pyannote[1420].speaker SPEAKER_03
transcript.pyannote[1420].start 8378.06346875
transcript.pyannote[1420].end 8381.80971875
transcript.pyannote[1421].speaker SPEAKER_03
transcript.pyannote[1421].start 8382.33284375
transcript.pyannote[1421].end 8398.49909375
transcript.pyannote[1422].speaker SPEAKER_03
transcript.pyannote[1422].start 8398.75221875
transcript.pyannote[1422].end 8409.85596875
transcript.pyannote[1423].speaker SPEAKER_04
transcript.pyannote[1423].start 8407.08846875
transcript.pyannote[1423].end 8407.66221875
transcript.pyannote[1424].speaker SPEAKER_04
transcript.pyannote[1424].start 8409.11346875
transcript.pyannote[1424].end 8413.58534375
transcript.pyannote[1425].speaker SPEAKER_03
transcript.pyannote[1425].start 8413.51784375
transcript.pyannote[1425].end 8415.94784375
transcript.pyannote[1426].speaker SPEAKER_03
transcript.pyannote[1426].start 8416.77471875
transcript.pyannote[1426].end 8418.31034375
transcript.pyannote[1427].speaker SPEAKER_04
transcript.pyannote[1427].start 8416.94346875
transcript.pyannote[1427].end 8426.27534375
transcript.pyannote[1428].speaker SPEAKER_03
transcript.pyannote[1428].start 8418.79971875
transcript.pyannote[1428].end 8419.33971875
transcript.pyannote[1429].speaker SPEAKER_04
transcript.pyannote[1429].start 8426.64659375
transcript.pyannote[1429].end 8433.07596875
transcript.pyannote[1430].speaker SPEAKER_04
transcript.pyannote[1430].start 8434.15596875
transcript.pyannote[1430].end 8435.10096875
transcript.pyannote[1431].speaker SPEAKER_03
transcript.pyannote[1431].start 8435.89409375
transcript.pyannote[1431].end 8437.42971875
transcript.pyannote[1432].speaker SPEAKER_03
transcript.pyannote[1432].start 8437.85159375
transcript.pyannote[1432].end 8442.64409375
transcript.pyannote[1433].speaker SPEAKER_04
transcript.pyannote[1433].start 8439.92721875
transcript.pyannote[1433].end 8440.39971875
transcript.pyannote[1434].speaker SPEAKER_04
transcript.pyannote[1434].start 8440.77096875
transcript.pyannote[1434].end 8441.47971875
transcript.pyannote[1435].speaker SPEAKER_04
transcript.pyannote[1435].start 8442.64409375
transcript.pyannote[1435].end 8456.46471875
transcript.pyannote[1436].speaker SPEAKER_03
transcript.pyannote[1436].start 8444.02784375
transcript.pyannote[1436].end 8444.87159375
transcript.pyannote[1437].speaker SPEAKER_03
transcript.pyannote[1437].start 8447.30159375
transcript.pyannote[1437].end 8448.39846875
transcript.pyannote[1438].speaker SPEAKER_16
transcript.pyannote[1438].start 8451.89159375
transcript.pyannote[1438].end 8452.27971875
transcript.pyannote[1439].speaker SPEAKER_04
transcript.pyannote[1439].start 8457.05534375
transcript.pyannote[1439].end 8458.60784375
transcript.pyannote[1440].speaker SPEAKER_16
transcript.pyannote[1440].start 8458.92846875
transcript.pyannote[1440].end 8459.31659375
transcript.pyannote[1441].speaker SPEAKER_04
transcript.pyannote[1441].start 8459.31659375
transcript.pyannote[1441].end 8463.34971875
transcript.pyannote[1442].speaker SPEAKER_16
transcript.pyannote[1442].start 8463.16409375
transcript.pyannote[1442].end 8463.56909375
transcript.pyannote[1443].speaker SPEAKER_04
transcript.pyannote[1443].start 8463.40034375
transcript.pyannote[1443].end 8467.97346875
transcript.pyannote[1444].speaker SPEAKER_16
transcript.pyannote[1444].start 8468.12534375
transcript.pyannote[1444].end 8468.49659375
transcript.pyannote[1445].speaker SPEAKER_04
transcript.pyannote[1445].start 8468.46284375
transcript.pyannote[1445].end 8475.51659375
transcript.pyannote[1446].speaker SPEAKER_04
transcript.pyannote[1446].start 8475.68534375
transcript.pyannote[1446].end 8479.78596875
transcript.pyannote[1447].speaker SPEAKER_04
transcript.pyannote[1447].start 8480.39346875
transcript.pyannote[1447].end 8485.69221875
transcript.pyannote[1448].speaker SPEAKER_04
transcript.pyannote[1448].start 8486.36721875
transcript.pyannote[1448].end 8489.59034375
transcript.pyannote[1449].speaker SPEAKER_04
transcript.pyannote[1449].start 8490.16409375
transcript.pyannote[1449].end 8490.58596875
transcript.pyannote[1450].speaker SPEAKER_04
transcript.pyannote[1450].start 8491.31159375
transcript.pyannote[1450].end 8497.50471875
transcript.pyannote[1451].speaker SPEAKER_04
transcript.pyannote[1451].start 8497.72409375
transcript.pyannote[1451].end 8502.02721875
transcript.pyannote[1452].speaker SPEAKER_04
transcript.pyannote[1452].start 8502.55034375
transcript.pyannote[1452].end 8505.11534375
transcript.pyannote[1453].speaker SPEAKER_04
transcript.pyannote[1453].start 8506.02659375
transcript.pyannote[1453].end 8516.99534375
transcript.pyannote[1454].speaker SPEAKER_00
transcript.pyannote[1454].start 8506.81971875
transcript.pyannote[1454].end 8509.01346875
transcript.pyannote[1455].speaker SPEAKER_00
transcript.pyannote[1455].start 8510.36346875
transcript.pyannote[1455].end 8511.13971875
transcript.pyannote[1456].speaker SPEAKER_04
transcript.pyannote[1456].start 8517.24846875
transcript.pyannote[1456].end 8519.35784375
transcript.pyannote[1457].speaker SPEAKER_03
transcript.pyannote[1457].start 8520.52221875
transcript.pyannote[1457].end 8525.19659375
transcript.pyannote[1458].speaker SPEAKER_03
transcript.pyannote[1458].start 8525.58471875
transcript.pyannote[1458].end 8534.12346875
transcript.pyannote[1459].speaker SPEAKER_04
transcript.pyannote[1459].start 8533.60034375
transcript.pyannote[1459].end 8539.40534375
transcript.pyannote[1460].speaker SPEAKER_03
transcript.pyannote[1460].start 8534.25846875
transcript.pyannote[1460].end 8535.38909375
transcript.pyannote[1461].speaker SPEAKER_04
transcript.pyannote[1461].start 8539.50659375
transcript.pyannote[1461].end 8542.54409375
transcript.pyannote[1462].speaker SPEAKER_16
transcript.pyannote[1462].start 8542.54409375
transcript.pyannote[1462].end 8543.10096875
transcript.pyannote[1463].speaker SPEAKER_04
transcript.pyannote[1463].start 8543.03346875
transcript.pyannote[1463].end 8548.82159375
transcript.pyannote[1464].speaker SPEAKER_04
transcript.pyannote[1464].start 8548.88909375
transcript.pyannote[1464].end 8548.99034375
transcript.pyannote[1465].speaker SPEAKER_16
transcript.pyannote[1465].start 8548.99034375
transcript.pyannote[1465].end 8549.22659375
transcript.pyannote[1466].speaker SPEAKER_04
transcript.pyannote[1466].start 8549.07471875
transcript.pyannote[1466].end 8552.29784375
transcript.pyannote[1467].speaker SPEAKER_04
transcript.pyannote[1467].start 8552.68596875
transcript.pyannote[1467].end 8554.15409375
transcript.pyannote[1468].speaker SPEAKER_04
transcript.pyannote[1468].start 8554.35659375
transcript.pyannote[1468].end 8556.36471875
transcript.pyannote[1469].speaker SPEAKER_03
transcript.pyannote[1469].start 8556.36471875
transcript.pyannote[1469].end 8557.22534375
transcript.pyannote[1470].speaker SPEAKER_04
transcript.pyannote[1470].start 8556.66846875
transcript.pyannote[1470].end 8561.12346875
transcript.pyannote[1471].speaker SPEAKER_04
transcript.pyannote[1471].start 8561.57909375
transcript.pyannote[1471].end 8562.76034375
transcript.pyannote[1472].speaker SPEAKER_03
transcript.pyannote[1472].start 8562.91221875
transcript.pyannote[1472].end 8566.48971875
transcript.pyannote[1473].speaker SPEAKER_04
transcript.pyannote[1473].start 8565.15659375
transcript.pyannote[1473].end 8565.66284375
transcript.pyannote[1474].speaker SPEAKER_04
transcript.pyannote[1474].start 8565.96659375
transcript.pyannote[1474].end 8583.68534375
transcript.pyannote[1475].speaker SPEAKER_04
transcript.pyannote[1475].start 8583.75284375
transcript.pyannote[1475].end 8589.08534375
transcript.pyannote[1476].speaker SPEAKER_03
transcript.pyannote[1476].start 8587.38096875
transcript.pyannote[1476].end 8587.83659375
transcript.pyannote[1477].speaker SPEAKER_03
transcript.pyannote[1477].start 8589.08534375
transcript.pyannote[1477].end 8589.50721875
transcript.pyannote[1478].speaker SPEAKER_04
transcript.pyannote[1478].start 8589.11909375
transcript.pyannote[1478].end 8591.22846875
transcript.pyannote[1479].speaker SPEAKER_03
transcript.pyannote[1479].start 8591.19471875
transcript.pyannote[1479].end 8594.14784375
transcript.pyannote[1480].speaker SPEAKER_04
transcript.pyannote[1480].start 8593.23659375
transcript.pyannote[1480].end 8608.42409375
transcript.pyannote[1481].speaker SPEAKER_03
transcript.pyannote[1481].start 8598.04596875
transcript.pyannote[1481].end 8598.21471875
transcript.pyannote[1482].speaker SPEAKER_03
transcript.pyannote[1482].start 8600.93159375
transcript.pyannote[1482].end 8601.70784375
transcript.pyannote[1483].speaker SPEAKER_03
transcript.pyannote[1483].start 8603.09159375
transcript.pyannote[1483].end 8603.39534375
transcript.pyannote[1484].speaker SPEAKER_03
transcript.pyannote[1484].start 8605.69034375
transcript.pyannote[1484].end 8610.43221875
transcript.pyannote[1485].speaker SPEAKER_04
transcript.pyannote[1485].start 8609.57159375
transcript.pyannote[1485].end 8621.97471875
transcript.pyannote[1486].speaker SPEAKER_03
transcript.pyannote[1486].start 8613.31784375
transcript.pyannote[1486].end 8613.82409375
transcript.pyannote[1487].speaker SPEAKER_03
transcript.pyannote[1487].start 8617.60409375
transcript.pyannote[1487].end 8618.34659375
transcript.pyannote[1488].speaker SPEAKER_03
transcript.pyannote[1488].start 8619.39284375
transcript.pyannote[1488].end 8620.27034375
transcript.pyannote[1489].speaker SPEAKER_10
transcript.pyannote[1489].start 8620.27034375
transcript.pyannote[1489].end 8621.24909375
transcript.pyannote[1490].speaker SPEAKER_03
transcript.pyannote[1490].start 8621.24909375
transcript.pyannote[1490].end 8621.35034375
transcript.pyannote[1491].speaker SPEAKER_10
transcript.pyannote[1491].start 8624.03346875
transcript.pyannote[1491].end 8625.56909375
transcript.pyannote[1492].speaker SPEAKER_10
transcript.pyannote[1492].start 8626.36221875
transcript.pyannote[1492].end 8628.91034375
transcript.pyannote[1493].speaker SPEAKER_10
transcript.pyannote[1493].start 9235.07721875
transcript.pyannote[1493].end 9236.42721875
transcript.pyannote[1494].speaker SPEAKER_10
transcript.pyannote[1494].start 9236.74784375
transcript.pyannote[1494].end 9238.97534375
transcript.pyannote[1495].speaker SPEAKER_21
transcript.pyannote[1495].start 9248.54346875
transcript.pyannote[1495].end 9252.98159375
transcript.pyannote[1496].speaker SPEAKER_21
transcript.pyannote[1496].start 9253.53846875
transcript.pyannote[1496].end 9254.51721875
transcript.pyannote[1497].speaker SPEAKER_21
transcript.pyannote[1497].start 9254.92221875
transcript.pyannote[1497].end 9256.81221875
transcript.pyannote[1498].speaker SPEAKER_21
transcript.pyannote[1498].start 9262.33034375
transcript.pyannote[1498].end 9262.38096875
transcript.pyannote[1499].speaker SPEAKER_03
transcript.pyannote[1499].start 9262.38096875
transcript.pyannote[1499].end 9262.39784375
transcript.pyannote[1500].speaker SPEAKER_21
transcript.pyannote[1500].start 9262.39784375
transcript.pyannote[1500].end 9262.97159375
transcript.pyannote[1501].speaker SPEAKER_03
transcript.pyannote[1501].start 9262.97159375
transcript.pyannote[1501].end 9263.14034375
transcript.pyannote[1502].speaker SPEAKER_03
transcript.pyannote[1502].start 9264.05159375
transcript.pyannote[1502].end 9266.39721875
transcript.pyannote[1503].speaker SPEAKER_21
transcript.pyannote[1503].start 9265.70534375
transcript.pyannote[1503].end 9266.71784375
transcript.pyannote[1504].speaker SPEAKER_03
transcript.pyannote[1504].start 9266.71784375
transcript.pyannote[1504].end 9267.00471875
transcript.pyannote[1505].speaker SPEAKER_21
transcript.pyannote[1505].start 9267.52784375
transcript.pyannote[1505].end 9270.48096875
transcript.pyannote[1506].speaker SPEAKER_21
transcript.pyannote[1506].start 9270.73409375
transcript.pyannote[1506].end 9273.41721875
transcript.pyannote[1507].speaker SPEAKER_21
transcript.pyannote[1507].start 9273.55221875
transcript.pyannote[1507].end 9275.08784375
transcript.pyannote[1508].speaker SPEAKER_21
transcript.pyannote[1508].start 9275.61096875
transcript.pyannote[1508].end 9277.70346875
transcript.pyannote[1509].speaker SPEAKER_21
transcript.pyannote[1509].start 9278.10846875
transcript.pyannote[1509].end 9284.04846875
transcript.pyannote[1510].speaker SPEAKER_16
transcript.pyannote[1510].start 9283.22159375
transcript.pyannote[1510].end 9284.33534375
transcript.pyannote[1511].speaker SPEAKER_21
transcript.pyannote[1511].start 9284.45346875
transcript.pyannote[1511].end 9288.50346875
transcript.pyannote[1512].speaker SPEAKER_16
transcript.pyannote[1512].start 9284.52096875
transcript.pyannote[1512].end 9284.99346875
transcript.pyannote[1513].speaker SPEAKER_21
transcript.pyannote[1513].start 9288.90846875
transcript.pyannote[1513].end 9291.23721875
transcript.pyannote[1514].speaker SPEAKER_21
transcript.pyannote[1514].start 9292.50284375
transcript.pyannote[1514].end 9293.90346875
transcript.pyannote[1515].speaker SPEAKER_21
transcript.pyannote[1515].start 9294.22409375
transcript.pyannote[1515].end 9297.63284375
transcript.pyannote[1516].speaker SPEAKER_21
transcript.pyannote[1516].start 9298.30784375
transcript.pyannote[1516].end 9299.91096875
transcript.pyannote[1517].speaker SPEAKER_21
transcript.pyannote[1517].start 9300.23159375
transcript.pyannote[1517].end 9300.75471875
transcript.pyannote[1518].speaker SPEAKER_21
transcript.pyannote[1518].start 9301.21034375
transcript.pyannote[1518].end 9304.75409375
transcript.pyannote[1519].speaker SPEAKER_21
transcript.pyannote[1519].start 9305.17596875
transcript.pyannote[1519].end 9305.81721875
transcript.pyannote[1520].speaker SPEAKER_21
transcript.pyannote[1520].start 9306.07034375
transcript.pyannote[1520].end 9306.82971875
transcript.pyannote[1521].speaker SPEAKER_21
transcript.pyannote[1521].start 9307.47096875
transcript.pyannote[1521].end 9308.55096875
transcript.pyannote[1522].speaker SPEAKER_21
transcript.pyannote[1522].start 9309.02346875
transcript.pyannote[1522].end 9310.35659375
transcript.pyannote[1523].speaker SPEAKER_21
transcript.pyannote[1523].start 9310.84596875
transcript.pyannote[1523].end 9313.76534375
transcript.pyannote[1524].speaker SPEAKER_21
transcript.pyannote[1524].start 9314.11971875
transcript.pyannote[1524].end 9315.45284375
transcript.pyannote[1525].speaker SPEAKER_21
transcript.pyannote[1525].start 9315.94221875
transcript.pyannote[1525].end 9317.39346875
transcript.pyannote[1526].speaker SPEAKER_21
transcript.pyannote[1526].start 9317.73096875
transcript.pyannote[1526].end 9320.26221875
transcript.pyannote[1527].speaker SPEAKER_21
transcript.pyannote[1527].start 9320.53221875
transcript.pyannote[1527].end 9322.60784375
transcript.pyannote[1528].speaker SPEAKER_21
transcript.pyannote[1528].start 9323.95784375
transcript.pyannote[1528].end 9324.68346875
transcript.pyannote[1529].speaker SPEAKER_21
transcript.pyannote[1529].start 9324.71721875
transcript.pyannote[1529].end 9326.69159375
transcript.pyannote[1530].speaker SPEAKER_21
transcript.pyannote[1530].start 9326.82659375
transcript.pyannote[1530].end 9329.67846875
transcript.pyannote[1531].speaker SPEAKER_21
transcript.pyannote[1531].start 9330.10034375
transcript.pyannote[1531].end 9335.02784375
transcript.pyannote[1532].speaker SPEAKER_21
transcript.pyannote[1532].start 9335.12909375
transcript.pyannote[1532].end 9336.56346875
transcript.pyannote[1533].speaker SPEAKER_21
transcript.pyannote[1533].start 9336.79971875
transcript.pyannote[1533].end 9341.33909375
transcript.pyannote[1534].speaker SPEAKER_21
transcript.pyannote[1534].start 9341.77784375
transcript.pyannote[1534].end 9344.10659375
transcript.pyannote[1535].speaker SPEAKER_21
transcript.pyannote[1535].start 9344.17409375
transcript.pyannote[1535].end 9349.79346875
transcript.pyannote[1536].speaker SPEAKER_21
transcript.pyannote[1536].start 9349.89471875
transcript.pyannote[1536].end 9352.08846875
transcript.pyannote[1537].speaker SPEAKER_21
transcript.pyannote[1537].start 9352.62846875
transcript.pyannote[1537].end 9365.82471875
transcript.pyannote[1538].speaker SPEAKER_21
transcript.pyannote[1538].start 9366.28034375
transcript.pyannote[1538].end 9370.04346875
transcript.pyannote[1539].speaker SPEAKER_21
transcript.pyannote[1539].start 9370.33034375
transcript.pyannote[1539].end 9372.28784375
transcript.pyannote[1540].speaker SPEAKER_21
transcript.pyannote[1540].start 9373.01346875
transcript.pyannote[1540].end 9374.80221875
transcript.pyannote[1541].speaker SPEAKER_21
transcript.pyannote[1541].start 9375.15659375
transcript.pyannote[1541].end 9376.87784375
transcript.pyannote[1542].speaker SPEAKER_21
transcript.pyannote[1542].start 9377.18159375
transcript.pyannote[1542].end 9380.82659375
transcript.pyannote[1543].speaker SPEAKER_21
transcript.pyannote[1543].start 9381.28221875
transcript.pyannote[1543].end 9381.88971875
transcript.pyannote[1544].speaker SPEAKER_21
transcript.pyannote[1544].start 9382.21034375
transcript.pyannote[1544].end 9384.92721875
transcript.pyannote[1545].speaker SPEAKER_21
transcript.pyannote[1545].start 9385.39971875
transcript.pyannote[1545].end 9386.54721875
transcript.pyannote[1546].speaker SPEAKER_21
transcript.pyannote[1546].start 9387.20534375
transcript.pyannote[1546].end 9387.66096875
transcript.pyannote[1547].speaker SPEAKER_21
transcript.pyannote[1547].start 9388.01534375
transcript.pyannote[1547].end 9388.62284375
transcript.pyannote[1548].speaker SPEAKER_21
transcript.pyannote[1548].start 9388.79159375
transcript.pyannote[1548].end 9389.97284375
transcript.pyannote[1549].speaker SPEAKER_21
transcript.pyannote[1549].start 9390.37784375
transcript.pyannote[1549].end 9391.64346875
transcript.pyannote[1550].speaker SPEAKER_21
transcript.pyannote[1550].start 9391.98096875
transcript.pyannote[1550].end 9392.75721875
transcript.pyannote[1551].speaker SPEAKER_21
transcript.pyannote[1551].start 9393.22971875
transcript.pyannote[1551].end 9394.15784375
transcript.pyannote[1552].speaker SPEAKER_21
transcript.pyannote[1552].start 9394.37721875
transcript.pyannote[1552].end 9395.13659375
transcript.pyannote[1553].speaker SPEAKER_21
transcript.pyannote[1553].start 9395.44034375
transcript.pyannote[1553].end 9397.06034375
transcript.pyannote[1554].speaker SPEAKER_21
transcript.pyannote[1554].start 9397.39784375
transcript.pyannote[1554].end 9398.47784375
transcript.pyannote[1555].speaker SPEAKER_21
transcript.pyannote[1555].start 9398.93346875
transcript.pyannote[1555].end 9400.33409375
transcript.pyannote[1556].speaker SPEAKER_21
transcript.pyannote[1556].start 9400.55346875
transcript.pyannote[1556].end 9403.23659375
transcript.pyannote[1557].speaker SPEAKER_21
transcript.pyannote[1557].start 9403.75971875
transcript.pyannote[1557].end 9404.63721875
transcript.pyannote[1558].speaker SPEAKER_21
transcript.pyannote[1558].start 9405.32909375
transcript.pyannote[1558].end 9405.91971875
transcript.pyannote[1559].speaker SPEAKER_21
transcript.pyannote[1559].start 9406.42596875
transcript.pyannote[1559].end 9408.50159375
transcript.pyannote[1560].speaker SPEAKER_21
transcript.pyannote[1560].start 9408.83909375
transcript.pyannote[1560].end 9409.98659375
transcript.pyannote[1561].speaker SPEAKER_21
transcript.pyannote[1561].start 9410.25659375
transcript.pyannote[1561].end 9411.47159375
transcript.pyannote[1562].speaker SPEAKER_21
transcript.pyannote[1562].start 9412.38284375
transcript.pyannote[1562].end 9413.58096875
transcript.pyannote[1563].speaker SPEAKER_21
transcript.pyannote[1563].start 9413.98596875
transcript.pyannote[1563].end 9415.28534375
transcript.pyannote[1564].speaker SPEAKER_21
transcript.pyannote[1564].start 9415.63971875
transcript.pyannote[1564].end 9422.57534375
transcript.pyannote[1565].speaker SPEAKER_21
transcript.pyannote[1565].start 9423.28409375
transcript.pyannote[1565].end 9423.94221875
transcript.pyannote[1566].speaker SPEAKER_21
transcript.pyannote[1566].start 9424.65096875
transcript.pyannote[1566].end 9426.35534375
transcript.pyannote[1567].speaker SPEAKER_21
transcript.pyannote[1567].start 9426.52409375
transcript.pyannote[1567].end 9429.17346875
transcript.pyannote[1568].speaker SPEAKER_21
transcript.pyannote[1568].start 9429.57846875
transcript.pyannote[1568].end 9431.23221875
transcript.pyannote[1569].speaker SPEAKER_21
transcript.pyannote[1569].start 9431.58659375
transcript.pyannote[1569].end 9433.37534375
transcript.pyannote[1570].speaker SPEAKER_21
transcript.pyannote[1570].start 9433.66221875
transcript.pyannote[1570].end 9435.97409375
transcript.pyannote[1571].speaker SPEAKER_21
transcript.pyannote[1571].start 9436.34534375
transcript.pyannote[1571].end 9439.60221875
transcript.pyannote[1572].speaker SPEAKER_21
transcript.pyannote[1572].start 9440.24346875
transcript.pyannote[1572].end 9440.53034375
transcript.pyannote[1573].speaker SPEAKER_21
transcript.pyannote[1573].start 9441.07034375
transcript.pyannote[1573].end 9442.16721875
transcript.pyannote[1574].speaker SPEAKER_21
transcript.pyannote[1574].start 9442.35284375
transcript.pyannote[1574].end 9445.10346875
transcript.pyannote[1575].speaker SPEAKER_21
transcript.pyannote[1575].start 9445.66034375
transcript.pyannote[1575].end 9446.55471875
transcript.pyannote[1576].speaker SPEAKER_21
transcript.pyannote[1576].start 9447.21284375
transcript.pyannote[1576].end 9448.32659375
transcript.pyannote[1577].speaker SPEAKER_21
transcript.pyannote[1577].start 9448.84971875
transcript.pyannote[1577].end 9451.71846875
transcript.pyannote[1578].speaker SPEAKER_16
transcript.pyannote[1578].start 9451.70159375
transcript.pyannote[1578].end 9451.93784375
transcript.pyannote[1579].speaker SPEAKER_21
transcript.pyannote[1579].start 9451.78596875
transcript.pyannote[1579].end 9452.15721875
transcript.pyannote[1580].speaker SPEAKER_21
transcript.pyannote[1580].start 9452.59596875
transcript.pyannote[1580].end 9454.04721875
transcript.pyannote[1581].speaker SPEAKER_21
transcript.pyannote[1581].start 9454.43534375
transcript.pyannote[1581].end 9455.07659375
transcript.pyannote[1582].speaker SPEAKER_21
transcript.pyannote[1582].start 9455.38034375
transcript.pyannote[1582].end 9465.13409375
transcript.pyannote[1583].speaker SPEAKER_03
transcript.pyannote[1583].start 9465.47159375
transcript.pyannote[1583].end 9465.72471875
transcript.pyannote[1584].speaker SPEAKER_03
transcript.pyannote[1584].start 9465.84284375
transcript.pyannote[1584].end 9472.45784375
transcript.pyannote[1585].speaker SPEAKER_21
transcript.pyannote[1585].start 9470.83784375
transcript.pyannote[1585].end 9471.20909375
transcript.pyannote[1586].speaker SPEAKER_21
transcript.pyannote[1586].start 9472.05284375
transcript.pyannote[1586].end 9472.39034375
transcript.pyannote[1587].speaker SPEAKER_03
transcript.pyannote[1587].start 9473.04846875
transcript.pyannote[1587].end 9480.40596875
transcript.pyannote[1588].speaker SPEAKER_03
transcript.pyannote[1588].start 9480.72659375
transcript.pyannote[1588].end 9484.82721875
transcript.pyannote[1589].speaker SPEAKER_16
transcript.pyannote[1589].start 9482.56596875
transcript.pyannote[1589].end 9482.97096875
transcript.pyannote[1590].speaker SPEAKER_00
transcript.pyannote[1590].start 9482.97096875
transcript.pyannote[1590].end 9483.39284375
transcript.pyannote[1591].speaker SPEAKER_03
transcript.pyannote[1591].start 9485.43471875
transcript.pyannote[1591].end 9489.07971875
transcript.pyannote[1592].speaker SPEAKER_21
transcript.pyannote[1592].start 9489.07971875
transcript.pyannote[1592].end 9493.19721875
transcript.pyannote[1593].speaker SPEAKER_21
transcript.pyannote[1593].start 9493.43346875
transcript.pyannote[1593].end 9509.04284375
transcript.pyannote[1594].speaker SPEAKER_16
transcript.pyannote[1594].start 9494.86784375
transcript.pyannote[1594].end 9495.88034375
transcript.pyannote[1595].speaker SPEAKER_03
transcript.pyannote[1595].start 9509.04284375
transcript.pyannote[1595].end 9509.29596875
transcript.pyannote[1596].speaker SPEAKER_21
transcript.pyannote[1596].start 9509.39721875
transcript.pyannote[1596].end 9511.50659375
transcript.pyannote[1597].speaker SPEAKER_03
transcript.pyannote[1597].start 9511.75971875
transcript.pyannote[1597].end 9511.77659375
transcript.pyannote[1598].speaker SPEAKER_21
transcript.pyannote[1598].start 9511.77659375
transcript.pyannote[1598].end 9511.96221875
transcript.pyannote[1599].speaker SPEAKER_03
transcript.pyannote[1599].start 9511.96221875
transcript.pyannote[1599].end 9513.37971875
transcript.pyannote[1600].speaker SPEAKER_21
transcript.pyannote[1600].start 9512.82284375
transcript.pyannote[1600].end 9515.16846875
transcript.pyannote[1601].speaker SPEAKER_03
transcript.pyannote[1601].start 9516.38346875
transcript.pyannote[1601].end 9516.40034375
transcript.pyannote[1602].speaker SPEAKER_21
transcript.pyannote[1602].start 9516.40034375
transcript.pyannote[1602].end 9516.41721875
transcript.pyannote[1603].speaker SPEAKER_03
transcript.pyannote[1603].start 9516.41721875
transcript.pyannote[1603].end 9516.43409375
transcript.pyannote[1604].speaker SPEAKER_21
transcript.pyannote[1604].start 9516.43409375
transcript.pyannote[1604].end 9516.45096875
transcript.pyannote[1605].speaker SPEAKER_03
transcript.pyannote[1605].start 9516.45096875
transcript.pyannote[1605].end 9516.75471875
transcript.pyannote[1606].speaker SPEAKER_21
transcript.pyannote[1606].start 9516.75471875
transcript.pyannote[1606].end 9533.91659375
transcript.pyannote[1607].speaker SPEAKER_03
transcript.pyannote[1607].start 9516.77159375
transcript.pyannote[1607].end 9517.21034375
transcript.pyannote[1608].speaker SPEAKER_03
transcript.pyannote[1608].start 9518.45909375
transcript.pyannote[1608].end 9520.31534375
transcript.pyannote[1609].speaker SPEAKER_21
transcript.pyannote[1609].start 9534.08534375
transcript.pyannote[1609].end 9534.77721875
transcript.pyannote[1610].speaker SPEAKER_21
transcript.pyannote[1610].start 9535.50284375
transcript.pyannote[1610].end 9541.12221875
transcript.pyannote[1611].speaker SPEAKER_21
transcript.pyannote[1611].start 9541.59471875
transcript.pyannote[1611].end 9542.35409375
transcript.pyannote[1612].speaker SPEAKER_21
transcript.pyannote[1612].start 9542.62409375
transcript.pyannote[1612].end 9543.95721875
transcript.pyannote[1613].speaker SPEAKER_21
transcript.pyannote[1613].start 9544.32846875
transcript.pyannote[1613].end 9545.08784375
transcript.pyannote[1614].speaker SPEAKER_21
transcript.pyannote[1614].start 9545.37471875
transcript.pyannote[1614].end 9548.05784375
transcript.pyannote[1615].speaker SPEAKER_21
transcript.pyannote[1615].start 9548.47971875
transcript.pyannote[1615].end 9549.00284375
transcript.pyannote[1616].speaker SPEAKER_21
transcript.pyannote[1616].start 9549.39096875
transcript.pyannote[1616].end 9550.33596875
transcript.pyannote[1617].speaker SPEAKER_21
transcript.pyannote[1617].start 9550.45409375
transcript.pyannote[1617].end 9551.70284375
transcript.pyannote[1618].speaker SPEAKER_21
transcript.pyannote[1618].start 9552.09096875
transcript.pyannote[1618].end 9552.66471875
transcript.pyannote[1619].speaker SPEAKER_21
transcript.pyannote[1619].start 9552.88409375
transcript.pyannote[1619].end 9553.77846875
transcript.pyannote[1620].speaker SPEAKER_21
transcript.pyannote[1620].start 9554.31846875
transcript.pyannote[1620].end 9554.68971875
transcript.pyannote[1621].speaker SPEAKER_21
transcript.pyannote[1621].start 9555.16221875
transcript.pyannote[1621].end 9556.95096875
transcript.pyannote[1622].speaker SPEAKER_21
transcript.pyannote[1622].start 9557.13659375
transcript.pyannote[1622].end 9558.35159375
transcript.pyannote[1623].speaker SPEAKER_21
transcript.pyannote[1623].start 9558.82409375
transcript.pyannote[1623].end 9559.78596875
transcript.pyannote[1624].speaker SPEAKER_16
transcript.pyannote[1624].start 9559.93784375
transcript.pyannote[1624].end 9560.30909375
transcript.pyannote[1625].speaker SPEAKER_21
transcript.pyannote[1625].start 9561.15284375
transcript.pyannote[1625].end 9562.58721875
transcript.pyannote[1626].speaker SPEAKER_16
transcript.pyannote[1626].start 9562.97534375
transcript.pyannote[1626].end 9563.16096875
transcript.pyannote[1627].speaker SPEAKER_21
transcript.pyannote[1627].start 9563.36346875
transcript.pyannote[1627].end 9567.46409375
transcript.pyannote[1628].speaker SPEAKER_21
transcript.pyannote[1628].start 9568.22346875
transcript.pyannote[1628].end 9569.08409375
transcript.pyannote[1629].speaker SPEAKER_21
transcript.pyannote[1629].start 9569.55659375
transcript.pyannote[1629].end 9570.28221875
transcript.pyannote[1630].speaker SPEAKER_21
transcript.pyannote[1630].start 9570.72096875
transcript.pyannote[1630].end 9574.93971875
transcript.pyannote[1631].speaker SPEAKER_21
transcript.pyannote[1631].start 9575.17596875
transcript.pyannote[1631].end 9576.45846875
transcript.pyannote[1632].speaker SPEAKER_21
transcript.pyannote[1632].start 9576.79596875
transcript.pyannote[1632].end 9577.96034375
transcript.pyannote[1633].speaker SPEAKER_21
transcript.pyannote[1633].start 9578.26409375
transcript.pyannote[1633].end 9582.53346875
transcript.pyannote[1634].speaker SPEAKER_21
transcript.pyannote[1634].start 9582.85409375
transcript.pyannote[1634].end 9585.25034375
transcript.pyannote[1635].speaker SPEAKER_21
transcript.pyannote[1635].start 9585.52034375
transcript.pyannote[1635].end 9597.21471875
transcript.pyannote[1636].speaker SPEAKER_21
transcript.pyannote[1636].start 9597.36659375
transcript.pyannote[1636].end 9599.99909375
transcript.pyannote[1637].speaker SPEAKER_21
transcript.pyannote[1637].start 9600.21846875
transcript.pyannote[1637].end 9606.83346875
transcript.pyannote[1638].speaker SPEAKER_16
transcript.pyannote[1638].start 9607.12034375
transcript.pyannote[1638].end 9607.13721875
transcript.pyannote[1639].speaker SPEAKER_21
transcript.pyannote[1639].start 9607.13721875
transcript.pyannote[1639].end 9607.82909375
transcript.pyannote[1640].speaker SPEAKER_21
transcript.pyannote[1640].start 9607.86284375
transcript.pyannote[1640].end 9610.41096875
transcript.pyannote[1641].speaker SPEAKER_21
transcript.pyannote[1641].start 9610.91721875
transcript.pyannote[1641].end 9613.16159375
transcript.pyannote[1642].speaker SPEAKER_21
transcript.pyannote[1642].start 9613.51596875
transcript.pyannote[1642].end 9614.57909375
transcript.pyannote[1643].speaker SPEAKER_21
transcript.pyannote[1643].start 9614.66346875
transcript.pyannote[1643].end 9616.68846875
transcript.pyannote[1644].speaker SPEAKER_21
transcript.pyannote[1644].start 9617.38034375
transcript.pyannote[1644].end 9619.28721875
transcript.pyannote[1645].speaker SPEAKER_21
transcript.pyannote[1645].start 9619.81034375
transcript.pyannote[1645].end 9622.78034375
transcript.pyannote[1646].speaker SPEAKER_21
transcript.pyannote[1646].start 9623.28659375
transcript.pyannote[1646].end 9623.84346875
transcript.pyannote[1647].speaker SPEAKER_21
transcript.pyannote[1647].start 9624.34971875
transcript.pyannote[1647].end 9625.90221875
transcript.pyannote[1648].speaker SPEAKER_21
transcript.pyannote[1648].start 9626.25659375
transcript.pyannote[1648].end 9627.26909375
transcript.pyannote[1649].speaker SPEAKER_21
transcript.pyannote[1649].start 9627.60659375
transcript.pyannote[1649].end 9629.71596875
transcript.pyannote[1650].speaker SPEAKER_21
transcript.pyannote[1650].start 9629.96909375
transcript.pyannote[1650].end 9631.72409375
transcript.pyannote[1651].speaker SPEAKER_21
transcript.pyannote[1651].start 9632.14596875
transcript.pyannote[1651].end 9652.19346875
transcript.pyannote[1652].speaker SPEAKER_16
transcript.pyannote[1652].start 9653.15534375
transcript.pyannote[1652].end 9653.23971875
transcript.pyannote[1653].speaker SPEAKER_21
transcript.pyannote[1653].start 9653.32409375
transcript.pyannote[1653].end 9654.60659375
transcript.pyannote[1654].speaker SPEAKER_21
transcript.pyannote[1654].start 9655.29846875
transcript.pyannote[1654].end 9656.54721875
transcript.pyannote[1655].speaker SPEAKER_21
transcript.pyannote[1655].start 9656.85096875
transcript.pyannote[1655].end 9658.60596875
transcript.pyannote[1656].speaker SPEAKER_21
transcript.pyannote[1656].start 9658.80846875
transcript.pyannote[1656].end 9660.09096875
transcript.pyannote[1657].speaker SPEAKER_21
transcript.pyannote[1657].start 9660.46221875
transcript.pyannote[1657].end 9661.77846875
transcript.pyannote[1658].speaker SPEAKER_21
transcript.pyannote[1658].start 9661.91346875
transcript.pyannote[1658].end 9664.34346875
transcript.pyannote[1659].speaker SPEAKER_21
transcript.pyannote[1659].start 9664.59659375
transcript.pyannote[1659].end 9667.31346875
transcript.pyannote[1660].speaker SPEAKER_03
transcript.pyannote[1660].start 9667.46534375
transcript.pyannote[1660].end 9673.01721875
transcript.pyannote[1661].speaker SPEAKER_21
transcript.pyannote[1661].start 9673.01721875
transcript.pyannote[1661].end 9673.21971875
transcript.pyannote[1662].speaker SPEAKER_03
transcript.pyannote[1662].start 9673.21971875
transcript.pyannote[1662].end 9684.08721875
transcript.pyannote[1663].speaker SPEAKER_21
transcript.pyannote[1663].start 9683.46284375
transcript.pyannote[1663].end 9687.76596875
transcript.pyannote[1664].speaker SPEAKER_03
transcript.pyannote[1664].start 9685.20096875
transcript.pyannote[1664].end 9686.44971875
transcript.pyannote[1665].speaker SPEAKER_03
transcript.pyannote[1665].start 9686.98971875
transcript.pyannote[1665].end 9687.74909375
transcript.pyannote[1666].speaker SPEAKER_03
transcript.pyannote[1666].start 9687.76596875
transcript.pyannote[1666].end 9688.03596875
transcript.pyannote[1667].speaker SPEAKER_21
transcript.pyannote[1667].start 9688.03596875
transcript.pyannote[1667].end 9688.60971875
transcript.pyannote[1668].speaker SPEAKER_21
transcript.pyannote[1668].start 9689.23409375
transcript.pyannote[1668].end 9700.96221875
transcript.pyannote[1669].speaker SPEAKER_03
transcript.pyannote[1669].start 9700.96221875
transcript.pyannote[1669].end 9701.58659375
transcript.pyannote[1670].speaker SPEAKER_03
transcript.pyannote[1670].start 9701.67096875
transcript.pyannote[1670].end 9716.40284375
transcript.pyannote[1671].speaker SPEAKER_21
transcript.pyannote[1671].start 9706.41284375
transcript.pyannote[1671].end 9707.54346875
transcript.pyannote[1672].speaker SPEAKER_21
transcript.pyannote[1672].start 9713.98971875
transcript.pyannote[1672].end 9714.41159375
transcript.pyannote[1673].speaker SPEAKER_21
transcript.pyannote[1673].start 9714.47909375
transcript.pyannote[1673].end 9719.06909375
transcript.pyannote[1674].speaker SPEAKER_21
transcript.pyannote[1674].start 9719.10284375
transcript.pyannote[1674].end 9723.57471875
transcript.pyannote[1675].speaker SPEAKER_21
transcript.pyannote[1675].start 9723.92909375
transcript.pyannote[1675].end 9725.58284375
transcript.pyannote[1676].speaker SPEAKER_21
transcript.pyannote[1676].start 9725.88659375
transcript.pyannote[1676].end 9726.40971875
transcript.pyannote[1677].speaker SPEAKER_21
transcript.pyannote[1677].start 9726.74721875
transcript.pyannote[1677].end 9727.86096875
transcript.pyannote[1678].speaker SPEAKER_21
transcript.pyannote[1678].start 9727.94534375
transcript.pyannote[1678].end 9730.32471875
transcript.pyannote[1679].speaker SPEAKER_21
transcript.pyannote[1679].start 9730.66221875
transcript.pyannote[1679].end 9732.04596875
transcript.pyannote[1680].speaker SPEAKER_21
transcript.pyannote[1680].start 9732.28221875
transcript.pyannote[1680].end 9735.60659375
transcript.pyannote[1681].speaker SPEAKER_21
transcript.pyannote[1681].start 9735.74159375
transcript.pyannote[1681].end 9745.52909375
transcript.pyannote[1682].speaker SPEAKER_21
transcript.pyannote[1682].start 9746.17034375
transcript.pyannote[1682].end 9748.44846875
transcript.pyannote[1683].speaker SPEAKER_21
transcript.pyannote[1683].start 9748.97159375
transcript.pyannote[1683].end 9753.17346875
transcript.pyannote[1684].speaker SPEAKER_21
transcript.pyannote[1684].start 9753.57846875
transcript.pyannote[1684].end 9754.25346875
transcript.pyannote[1685].speaker SPEAKER_21
transcript.pyannote[1685].start 9755.21534375
transcript.pyannote[1685].end 9757.61159375
transcript.pyannote[1686].speaker SPEAKER_21
transcript.pyannote[1686].start 9758.37096875
transcript.pyannote[1686].end 9760.90221875
transcript.pyannote[1687].speaker SPEAKER_21
transcript.pyannote[1687].start 9760.96971875
transcript.pyannote[1687].end 9761.91471875
transcript.pyannote[1688].speaker SPEAKER_21
transcript.pyannote[1688].start 9762.35346875
transcript.pyannote[1688].end 9763.56846875
transcript.pyannote[1689].speaker SPEAKER_21
transcript.pyannote[1689].start 9763.97346875
transcript.pyannote[1689].end 9765.25596875
transcript.pyannote[1690].speaker SPEAKER_21
transcript.pyannote[1690].start 9765.57659375
transcript.pyannote[1690].end 9766.03221875
transcript.pyannote[1691].speaker SPEAKER_21
transcript.pyannote[1691].start 9766.23471875
transcript.pyannote[1691].end 9768.19221875
transcript.pyannote[1692].speaker SPEAKER_21
transcript.pyannote[1692].start 9768.61409375
transcript.pyannote[1692].end 9779.80221875
transcript.pyannote[1693].speaker SPEAKER_21
transcript.pyannote[1693].start 9780.22409375
transcript.pyannote[1693].end 9781.96221875
transcript.pyannote[1694].speaker SPEAKER_21
transcript.pyannote[1694].start 9782.38409375
transcript.pyannote[1694].end 9784.49346875
transcript.pyannote[1695].speaker SPEAKER_21
transcript.pyannote[1695].start 9785.20221875
transcript.pyannote[1695].end 9785.72534375
transcript.pyannote[1696].speaker SPEAKER_21
transcript.pyannote[1696].start 9786.24846875
transcript.pyannote[1696].end 9787.93596875
transcript.pyannote[1697].speaker SPEAKER_21
transcript.pyannote[1697].start 9788.17221875
transcript.pyannote[1697].end 9789.26909375
transcript.pyannote[1698].speaker SPEAKER_21
transcript.pyannote[1698].start 9789.60659375
transcript.pyannote[1698].end 9790.48409375
transcript.pyannote[1699].speaker SPEAKER_21
transcript.pyannote[1699].start 9790.68659375
transcript.pyannote[1699].end 9792.10409375
transcript.pyannote[1700].speaker SPEAKER_21
transcript.pyannote[1700].start 9792.47534375
transcript.pyannote[1700].end 9793.03221875
transcript.pyannote[1701].speaker SPEAKER_21
transcript.pyannote[1701].start 9793.06596875
transcript.pyannote[1701].end 9794.60159375
transcript.pyannote[1702].speaker SPEAKER_21
transcript.pyannote[1702].start 9794.78721875
transcript.pyannote[1702].end 9795.78284375
transcript.pyannote[1703].speaker SPEAKER_21
transcript.pyannote[1703].start 9795.95159375
transcript.pyannote[1703].end 9796.72784375
transcript.pyannote[1704].speaker SPEAKER_21
transcript.pyannote[1704].start 9797.16659375
transcript.pyannote[1704].end 9797.90909375
transcript.pyannote[1705].speaker SPEAKER_21
transcript.pyannote[1705].start 9798.19596875
transcript.pyannote[1705].end 9800.89596875
transcript.pyannote[1706].speaker SPEAKER_03
transcript.pyannote[1706].start 9800.40659375
transcript.pyannote[1706].end 9805.31721875
transcript.pyannote[1707].speaker SPEAKER_03
transcript.pyannote[1707].start 9805.40159375
transcript.pyannote[1707].end 9811.79721875
transcript.pyannote[1708].speaker SPEAKER_21
transcript.pyannote[1708].start 9807.00471875
transcript.pyannote[1708].end 9808.72596875
transcript.pyannote[1709].speaker SPEAKER_03
transcript.pyannote[1709].start 9812.16846875
transcript.pyannote[1709].end 9817.68659375
transcript.pyannote[1710].speaker SPEAKER_03
transcript.pyannote[1710].start 9817.90596875
transcript.pyannote[1710].end 9823.50846875
transcript.pyannote[1711].speaker SPEAKER_21
transcript.pyannote[1711].start 9823.18784375
transcript.pyannote[1711].end 9823.93034375
transcript.pyannote[1712].speaker SPEAKER_03
transcript.pyannote[1712].start 9823.93034375
transcript.pyannote[1712].end 9823.96409375
transcript.pyannote[1713].speaker SPEAKER_21
transcript.pyannote[1713].start 9823.96409375
transcript.pyannote[1713].end 9838.42596875
transcript.pyannote[1714].speaker SPEAKER_03
transcript.pyannote[1714].start 9825.07784375
transcript.pyannote[1714].end 9827.92971875
transcript.pyannote[1715].speaker SPEAKER_16
transcript.pyannote[1715].start 9831.81096875
transcript.pyannote[1715].end 9832.67159375
transcript.pyannote[1716].speaker SPEAKER_16
transcript.pyannote[1716].start 9832.73909375
transcript.pyannote[1716].end 9834.86534375
transcript.pyannote[1717].speaker SPEAKER_16
transcript.pyannote[1717].start 9835.05096875
transcript.pyannote[1717].end 9836.18159375
transcript.pyannote[1718].speaker SPEAKER_21
transcript.pyannote[1718].start 9838.67909375
transcript.pyannote[1718].end 9844.97346875
transcript.pyannote[1719].speaker SPEAKER_02
transcript.pyannote[1719].start 9844.97346875
transcript.pyannote[1719].end 9845.37846875
transcript.pyannote[1720].speaker SPEAKER_21
transcript.pyannote[1720].start 9845.20971875
transcript.pyannote[1720].end 9858.01784375
transcript.pyannote[1721].speaker SPEAKER_02
transcript.pyannote[1721].start 9846.08721875
transcript.pyannote[1721].end 9846.20534375
transcript.pyannote[1722].speaker SPEAKER_02
transcript.pyannote[1722].start 9846.27284375
transcript.pyannote[1722].end 9846.42471875
transcript.pyannote[1723].speaker SPEAKER_03
transcript.pyannote[1723].start 9846.42471875
transcript.pyannote[1723].end 9846.52596875
transcript.pyannote[1724].speaker SPEAKER_02
transcript.pyannote[1724].start 9849.00659375
transcript.pyannote[1724].end 9849.02346875
transcript.pyannote[1725].speaker SPEAKER_03
transcript.pyannote[1725].start 9849.02346875
transcript.pyannote[1725].end 9849.24284375
transcript.pyannote[1726].speaker SPEAKER_16
transcript.pyannote[1726].start 9849.24284375
transcript.pyannote[1726].end 9849.27659375
transcript.pyannote[1727].speaker SPEAKER_03
transcript.pyannote[1727].start 9849.27659375
transcript.pyannote[1727].end 9849.29346875
transcript.pyannote[1728].speaker SPEAKER_03
transcript.pyannote[1728].start 9852.01034375
transcript.pyannote[1728].end 9858.59159375
transcript.pyannote[1729].speaker SPEAKER_10
transcript.pyannote[1729].start 9861.22409375
transcript.pyannote[1729].end 9866.13471875
transcript.pyannote[1730].speaker SPEAKER_24
transcript.pyannote[1730].start 9877.81221875
transcript.pyannote[1730].end 9878.82471875
transcript.pyannote[1731].speaker SPEAKER_24
transcript.pyannote[1731].start 9879.19596875
transcript.pyannote[1731].end 9879.78659375
transcript.pyannote[1732].speaker SPEAKER_24
transcript.pyannote[1732].start 9880.20846875
transcript.pyannote[1732].end 9882.18284375
transcript.pyannote[1733].speaker SPEAKER_24
transcript.pyannote[1733].start 9882.31784375
transcript.pyannote[1733].end 9883.26284375
transcript.pyannote[1734].speaker SPEAKER_10
transcript.pyannote[1734].start 9883.70159375
transcript.pyannote[1734].end 9884.83221875
transcript.pyannote[1735].speaker SPEAKER_24
transcript.pyannote[1735].start 9890.83971875
transcript.pyannote[1735].end 9895.61534375
transcript.pyannote[1736].speaker SPEAKER_03
transcript.pyannote[1736].start 9892.03784375
transcript.pyannote[1736].end 9893.37096875
transcript.pyannote[1737].speaker SPEAKER_03
transcript.pyannote[1737].start 9896.40846875
transcript.pyannote[1737].end 9898.09596875
transcript.pyannote[1738].speaker SPEAKER_24
transcript.pyannote[1738].start 9898.50096875
transcript.pyannote[1738].end 9898.97346875
transcript.pyannote[1739].speaker SPEAKER_03
transcript.pyannote[1739].start 9898.56846875
transcript.pyannote[1739].end 9898.92284375
transcript.pyannote[1740].speaker SPEAKER_03
transcript.pyannote[1740].start 9898.97346875
transcript.pyannote[1740].end 9899.71596875
transcript.pyannote[1741].speaker SPEAKER_24
transcript.pyannote[1741].start 9899.78346875
transcript.pyannote[1741].end 9900.71159375
transcript.pyannote[1742].speaker SPEAKER_03
transcript.pyannote[1742].start 9900.57659375
transcript.pyannote[1742].end 9903.52971875
transcript.pyannote[1743].speaker SPEAKER_24
transcript.pyannote[1743].start 9901.23471875
transcript.pyannote[1743].end 9902.77034375
transcript.pyannote[1744].speaker SPEAKER_24
transcript.pyannote[1744].start 9903.69846875
transcript.pyannote[1744].end 9904.23846875
transcript.pyannote[1745].speaker SPEAKER_24
transcript.pyannote[1745].start 9904.33971875
transcript.pyannote[1745].end 9907.02284375
transcript.pyannote[1746].speaker SPEAKER_24
transcript.pyannote[1746].start 9907.27596875
transcript.pyannote[1746].end 9910.71846875
transcript.pyannote[1747].speaker SPEAKER_16
transcript.pyannote[1747].start 9910.71846875
transcript.pyannote[1747].end 9910.83659375
transcript.pyannote[1748].speaker SPEAKER_24
transcript.pyannote[1748].start 9910.83659375
transcript.pyannote[1748].end 9910.85346875
transcript.pyannote[1749].speaker SPEAKER_24
transcript.pyannote[1749].start 9910.92096875
transcript.pyannote[1749].end 9915.08909375
transcript.pyannote[1750].speaker SPEAKER_24
transcript.pyannote[1750].start 9915.59534375
transcript.pyannote[1750].end 9922.00784375
transcript.pyannote[1751].speaker SPEAKER_24
transcript.pyannote[1751].start 9922.61534375
transcript.pyannote[1751].end 9924.58971875
transcript.pyannote[1752].speaker SPEAKER_24
transcript.pyannote[1752].start 9925.14659375
transcript.pyannote[1752].end 9926.61471875
transcript.pyannote[1753].speaker SPEAKER_24
transcript.pyannote[1753].start 9926.96909375
transcript.pyannote[1753].end 9928.23471875
transcript.pyannote[1754].speaker SPEAKER_24
transcript.pyannote[1754].start 9928.28534375
transcript.pyannote[1754].end 9932.58846875
transcript.pyannote[1755].speaker SPEAKER_24
transcript.pyannote[1755].start 9933.87096875
transcript.pyannote[1755].end 9935.64284375
transcript.pyannote[1756].speaker SPEAKER_24
transcript.pyannote[1756].start 9936.09846875
transcript.pyannote[1756].end 9937.53284375
transcript.pyannote[1757].speaker SPEAKER_24
transcript.pyannote[1757].start 9938.34284375
transcript.pyannote[1757].end 9941.83596875
transcript.pyannote[1758].speaker SPEAKER_16
transcript.pyannote[1758].start 9941.86971875
transcript.pyannote[1758].end 9942.24096875
transcript.pyannote[1759].speaker SPEAKER_24
transcript.pyannote[1759].start 9942.10596875
transcript.pyannote[1759].end 9946.03784375
transcript.pyannote[1760].speaker SPEAKER_24
transcript.pyannote[1760].start 9946.13909375
transcript.pyannote[1760].end 9963.36846875
transcript.pyannote[1761].speaker SPEAKER_24
transcript.pyannote[1761].start 9963.68909375
transcript.pyannote[1761].end 9969.93284375
transcript.pyannote[1762].speaker SPEAKER_24
transcript.pyannote[1762].start 9970.55721875
transcript.pyannote[1762].end 9974.11784375
transcript.pyannote[1763].speaker SPEAKER_24
transcript.pyannote[1763].start 9974.47221875
transcript.pyannote[1763].end 9975.38346875
transcript.pyannote[1764].speaker SPEAKER_24
transcript.pyannote[1764].start 9977.25659375
transcript.pyannote[1764].end 9978.67409375
transcript.pyannote[1765].speaker SPEAKER_24
transcript.pyannote[1765].start 9978.82596875
transcript.pyannote[1765].end 9979.78784375
transcript.pyannote[1766].speaker SPEAKER_24
transcript.pyannote[1766].start 9980.29409375
transcript.pyannote[1766].end 9985.45784375
transcript.pyannote[1767].speaker SPEAKER_24
transcript.pyannote[1767].start 9985.84596875
transcript.pyannote[1767].end 9986.25096875
transcript.pyannote[1768].speaker SPEAKER_24
transcript.pyannote[1768].start 9986.58846875
transcript.pyannote[1768].end 9991.49909375
transcript.pyannote[1769].speaker SPEAKER_24
transcript.pyannote[1769].start 9991.70159375
transcript.pyannote[1769].end 9992.37659375
transcript.pyannote[1770].speaker SPEAKER_24
transcript.pyannote[1770].start 9992.71409375
transcript.pyannote[1770].end 9994.13159375
transcript.pyannote[1771].speaker SPEAKER_24
transcript.pyannote[1771].start 9994.51971875
transcript.pyannote[1771].end 9995.39721875
transcript.pyannote[1772].speaker SPEAKER_24
transcript.pyannote[1772].start 9995.78534375
transcript.pyannote[1772].end 9997.16909375
transcript.pyannote[1773].speaker SPEAKER_16
transcript.pyannote[1773].start 9998.26596875
transcript.pyannote[1773].end 9998.51909375
transcript.pyannote[1774].speaker SPEAKER_24
transcript.pyannote[1774].start 9998.51909375
transcript.pyannote[1774].end 10003.96971875
transcript.pyannote[1775].speaker SPEAKER_16
transcript.pyannote[1775].start 10000.30784375
transcript.pyannote[1775].end 10001.82659375
transcript.pyannote[1776].speaker SPEAKER_03
transcript.pyannote[1776].start 10001.82659375
transcript.pyannote[1776].end 10001.91096875
transcript.pyannote[1777].speaker SPEAKER_03
transcript.pyannote[1777].start 10003.96971875
transcript.pyannote[1777].end 10024.92846875
transcript.pyannote[1778].speaker SPEAKER_16
transcript.pyannote[1778].start 10009.65659375
transcript.pyannote[1778].end 10010.29784375
transcript.pyannote[1779].speaker SPEAKER_24
transcript.pyannote[1779].start 10020.25409375
transcript.pyannote[1779].end 10020.79409375
transcript.pyannote[1780].speaker SPEAKER_24
transcript.pyannote[1780].start 10021.85721875
transcript.pyannote[1780].end 10022.21159375
transcript.pyannote[1781].speaker SPEAKER_03
transcript.pyannote[1781].start 10025.18159375
transcript.pyannote[1781].end 10029.50159375
transcript.pyannote[1782].speaker SPEAKER_03
transcript.pyannote[1782].start 10029.97409375
transcript.pyannote[1782].end 10031.05409375
transcript.pyannote[1783].speaker SPEAKER_24
transcript.pyannote[1783].start 10031.05409375
transcript.pyannote[1783].end 10031.13846875
transcript.pyannote[1784].speaker SPEAKER_03
transcript.pyannote[1784].start 10031.45909375
transcript.pyannote[1784].end 10031.54346875
transcript.pyannote[1785].speaker SPEAKER_24
transcript.pyannote[1785].start 10031.54346875
transcript.pyannote[1785].end 10049.12721875
transcript.pyannote[1786].speaker SPEAKER_24
transcript.pyannote[1786].start 10049.51534375
transcript.pyannote[1786].end 10056.78846875
transcript.pyannote[1787].speaker SPEAKER_24
transcript.pyannote[1787].start 10056.92346875
transcript.pyannote[1787].end 10060.75409375
transcript.pyannote[1788].speaker SPEAKER_24
transcript.pyannote[1788].start 10061.39534375
transcript.pyannote[1788].end 10061.86784375
transcript.pyannote[1789].speaker SPEAKER_24
transcript.pyannote[1789].start 10062.28971875
transcript.pyannote[1789].end 10063.74096875
transcript.pyannote[1790].speaker SPEAKER_24
transcript.pyannote[1790].start 10064.88846875
transcript.pyannote[1790].end 10065.76596875
transcript.pyannote[1791].speaker SPEAKER_24
transcript.pyannote[1791].start 10066.01909375
transcript.pyannote[1791].end 10066.60971875
transcript.pyannote[1792].speaker SPEAKER_24
transcript.pyannote[1792].start 10066.87971875
transcript.pyannote[1792].end 10069.15784375
transcript.pyannote[1793].speaker SPEAKER_24
transcript.pyannote[1793].start 10069.42784375
transcript.pyannote[1793].end 10082.62409375
transcript.pyannote[1794].speaker SPEAKER_24
transcript.pyannote[1794].start 10083.53534375
transcript.pyannote[1794].end 10090.43721875
transcript.pyannote[1795].speaker SPEAKER_24
transcript.pyannote[1795].start 10090.85909375
transcript.pyannote[1795].end 10111.02471875
transcript.pyannote[1796].speaker SPEAKER_24
transcript.pyannote[1796].start 10111.07534375
transcript.pyannote[1796].end 10112.34096875
transcript.pyannote[1797].speaker SPEAKER_24
transcript.pyannote[1797].start 10112.74596875
transcript.pyannote[1797].end 10115.66534375
transcript.pyannote[1798].speaker SPEAKER_24
transcript.pyannote[1798].start 10115.95221875
transcript.pyannote[1798].end 10117.92659375
transcript.pyannote[1799].speaker SPEAKER_24
transcript.pyannote[1799].start 10118.41596875
transcript.pyannote[1799].end 10132.84409375
transcript.pyannote[1800].speaker SPEAKER_24
transcript.pyannote[1800].start 10132.94534375
transcript.pyannote[1800].end 10137.85596875
transcript.pyannote[1801].speaker SPEAKER_24
transcript.pyannote[1801].start 10138.17659375
transcript.pyannote[1801].end 10140.03284375
transcript.pyannote[1802].speaker SPEAKER_24
transcript.pyannote[1802].start 10140.26909375
transcript.pyannote[1802].end 10141.36596875
transcript.pyannote[1803].speaker SPEAKER_24
transcript.pyannote[1803].start 10142.26034375
transcript.pyannote[1803].end 10142.86784375
transcript.pyannote[1804].speaker SPEAKER_24
transcript.pyannote[1804].start 10142.93534375
transcript.pyannote[1804].end 10144.47096875
transcript.pyannote[1805].speaker SPEAKER_24
transcript.pyannote[1805].start 10144.90971875
transcript.pyannote[1805].end 10145.68596875
transcript.pyannote[1806].speaker SPEAKER_24
transcript.pyannote[1806].start 10145.98971875
transcript.pyannote[1806].end 10148.74034375
transcript.pyannote[1807].speaker SPEAKER_24
transcript.pyannote[1807].start 10148.97659375
transcript.pyannote[1807].end 10172.71971875
transcript.pyannote[1808].speaker SPEAKER_24
transcript.pyannote[1808].start 10173.29346875
transcript.pyannote[1808].end 10174.27221875
transcript.pyannote[1809].speaker SPEAKER_24
transcript.pyannote[1809].start 10174.99784375
transcript.pyannote[1809].end 10178.86221875
transcript.pyannote[1810].speaker SPEAKER_24
transcript.pyannote[1810].start 10179.60471875
transcript.pyannote[1810].end 10184.39721875
transcript.pyannote[1811].speaker SPEAKER_24
transcript.pyannote[1811].start 10185.24096875
transcript.pyannote[1811].end 10195.09596875
transcript.pyannote[1812].speaker SPEAKER_24
transcript.pyannote[1812].start 10195.61909375
transcript.pyannote[1812].end 10196.37846875
transcript.pyannote[1813].speaker SPEAKER_24
transcript.pyannote[1813].start 10196.53034375
transcript.pyannote[1813].end 10197.52596875
transcript.pyannote[1814].speaker SPEAKER_24
transcript.pyannote[1814].start 10198.36971875
transcript.pyannote[1814].end 10199.82096875
transcript.pyannote[1815].speaker SPEAKER_24
transcript.pyannote[1815].start 10200.20909375
transcript.pyannote[1815].end 10208.41034375
transcript.pyannote[1816].speaker SPEAKER_03
transcript.pyannote[1816].start 10208.41034375
transcript.pyannote[1816].end 10209.47346875
transcript.pyannote[1817].speaker SPEAKER_24
transcript.pyannote[1817].start 10208.51159375
transcript.pyannote[1817].end 10208.91659375
transcript.pyannote[1818].speaker SPEAKER_24
transcript.pyannote[1818].start 10209.59159375
transcript.pyannote[1818].end 10209.62534375
transcript.pyannote[1819].speaker SPEAKER_03
transcript.pyannote[1819].start 10209.62534375
transcript.pyannote[1819].end 10214.29971875
transcript.pyannote[1820].speaker SPEAKER_03
transcript.pyannote[1820].start 10214.63721875
transcript.pyannote[1820].end 10218.16409375
transcript.pyannote[1821].speaker SPEAKER_03
transcript.pyannote[1821].start 10218.58596875
transcript.pyannote[1821].end 10220.71221875
transcript.pyannote[1822].speaker SPEAKER_03
transcript.pyannote[1822].start 10221.15096875
transcript.pyannote[1822].end 10223.47971875
transcript.pyannote[1823].speaker SPEAKER_03
transcript.pyannote[1823].start 10223.83409375
transcript.pyannote[1823].end 10235.00534375
transcript.pyannote[1824].speaker SPEAKER_03
transcript.pyannote[1824].start 10235.30909375
transcript.pyannote[1824].end 10247.12159375
transcript.pyannote[1825].speaker SPEAKER_03
transcript.pyannote[1825].start 10247.32409375
transcript.pyannote[1825].end 10259.17034375
transcript.pyannote[1826].speaker SPEAKER_03
transcript.pyannote[1826].start 10259.44034375
transcript.pyannote[1826].end 10260.28409375
transcript.pyannote[1827].speaker SPEAKER_03
transcript.pyannote[1827].start 10260.48659375
transcript.pyannote[1827].end 10262.17409375
transcript.pyannote[1828].speaker SPEAKER_03
transcript.pyannote[1828].start 10262.47784375
transcript.pyannote[1828].end 10263.89534375
transcript.pyannote[1829].speaker SPEAKER_03
transcript.pyannote[1829].start 10263.96284375
transcript.pyannote[1829].end 10266.52784375
transcript.pyannote[1830].speaker SPEAKER_03
transcript.pyannote[1830].start 10266.73034375
transcript.pyannote[1830].end 10270.03784375
transcript.pyannote[1831].speaker SPEAKER_03
transcript.pyannote[1831].start 10270.07159375
transcript.pyannote[1831].end 10271.74221875
transcript.pyannote[1832].speaker SPEAKER_03
transcript.pyannote[1832].start 10271.82659375
transcript.pyannote[1832].end 10273.14284375
transcript.pyannote[1833].speaker SPEAKER_03
transcript.pyannote[1833].start 10273.24409375
transcript.pyannote[1833].end 10279.72409375
transcript.pyannote[1834].speaker SPEAKER_24
transcript.pyannote[1834].start 10278.07034375
transcript.pyannote[1834].end 10278.50909375
transcript.pyannote[1835].speaker SPEAKER_24
transcript.pyannote[1835].start 10279.35284375
transcript.pyannote[1835].end 10280.63534375
transcript.pyannote[1836].speaker SPEAKER_24
transcript.pyannote[1836].start 10280.97284375
transcript.pyannote[1836].end 10301.45909375
transcript.pyannote[1837].speaker SPEAKER_00
transcript.pyannote[1837].start 10295.35034375
transcript.pyannote[1837].end 10295.67096875
transcript.pyannote[1838].speaker SPEAKER_24
transcript.pyannote[1838].start 10301.64471875
transcript.pyannote[1838].end 10309.23846875
transcript.pyannote[1839].speaker SPEAKER_24
transcript.pyannote[1839].start 10309.27221875
transcript.pyannote[1839].end 10325.25284375
transcript.pyannote[1840].speaker SPEAKER_24
transcript.pyannote[1840].start 10325.26971875
transcript.pyannote[1840].end 10334.87159375
transcript.pyannote[1841].speaker SPEAKER_24
transcript.pyannote[1841].start 10335.44534375
transcript.pyannote[1841].end 10340.60909375
transcript.pyannote[1842].speaker SPEAKER_24
transcript.pyannote[1842].start 10340.99721875
transcript.pyannote[1842].end 10355.66159375
transcript.pyannote[1843].speaker SPEAKER_24
transcript.pyannote[1843].start 10356.21846875
transcript.pyannote[1843].end 10357.82159375
transcript.pyannote[1844].speaker SPEAKER_24
transcript.pyannote[1844].start 10358.61471875
transcript.pyannote[1844].end 10359.44159375
transcript.pyannote[1845].speaker SPEAKER_24
transcript.pyannote[1845].start 10359.66096875
transcript.pyannote[1845].end 10360.67346875
transcript.pyannote[1846].speaker SPEAKER_24
transcript.pyannote[1846].start 10360.96034375
transcript.pyannote[1846].end 10371.40596875
transcript.pyannote[1847].speaker SPEAKER_24
transcript.pyannote[1847].start 10372.92471875
transcript.pyannote[1847].end 10373.39721875
transcript.pyannote[1848].speaker SPEAKER_24
transcript.pyannote[1848].start 10373.80221875
transcript.pyannote[1848].end 10375.45596875
transcript.pyannote[1849].speaker SPEAKER_03
transcript.pyannote[1849].start 10375.15221875
transcript.pyannote[1849].end 10375.16909375
transcript.pyannote[1850].speaker SPEAKER_03
transcript.pyannote[1850].start 10375.45596875
transcript.pyannote[1850].end 10375.84409375
transcript.pyannote[1851].speaker SPEAKER_24
transcript.pyannote[1851].start 10375.84409375
transcript.pyannote[1851].end 10378.40909375
transcript.pyannote[1852].speaker SPEAKER_24
transcript.pyannote[1852].start 10378.81409375
transcript.pyannote[1852].end 10396.85346875
transcript.pyannote[1853].speaker SPEAKER_24
transcript.pyannote[1853].start 10397.59596875
transcript.pyannote[1853].end 10399.36784375
transcript.pyannote[1854].speaker SPEAKER_24
transcript.pyannote[1854].start 10399.77284375
transcript.pyannote[1854].end 10403.51909375
transcript.pyannote[1855].speaker SPEAKER_24
transcript.pyannote[1855].start 10404.34596875
transcript.pyannote[1855].end 10406.65784375
transcript.pyannote[1856].speaker SPEAKER_24
transcript.pyannote[1856].start 10407.92346875
transcript.pyannote[1856].end 10410.03284375
transcript.pyannote[1857].speaker SPEAKER_24
transcript.pyannote[1857].start 10410.50534375
transcript.pyannote[1857].end 10416.63096875
transcript.pyannote[1858].speaker SPEAKER_24
transcript.pyannote[1858].start 10416.76596875
transcript.pyannote[1858].end 10416.79971875
transcript.pyannote[1859].speaker SPEAKER_24
transcript.pyannote[1859].start 10417.23846875
transcript.pyannote[1859].end 10427.93721875
transcript.pyannote[1860].speaker SPEAKER_24
transcript.pyannote[1860].start 10428.44346875
transcript.pyannote[1860].end 10442.68596875
transcript.pyannote[1861].speaker SPEAKER_24
transcript.pyannote[1861].start 10443.22596875
transcript.pyannote[1861].end 10443.73221875
transcript.pyannote[1862].speaker SPEAKER_24
transcript.pyannote[1862].start 10444.01909375
transcript.pyannote[1862].end 10446.02721875
transcript.pyannote[1863].speaker SPEAKER_24
transcript.pyannote[1863].start 10446.49971875
transcript.pyannote[1863].end 10447.84971875
transcript.pyannote[1864].speaker SPEAKER_24
transcript.pyannote[1864].start 10447.88346875
transcript.pyannote[1864].end 10454.24534375
transcript.pyannote[1865].speaker SPEAKER_24
transcript.pyannote[1865].start 10454.36346875
transcript.pyannote[1865].end 10457.89034375
transcript.pyannote[1866].speaker SPEAKER_24
transcript.pyannote[1866].start 10458.27846875
transcript.pyannote[1866].end 10460.03346875
transcript.pyannote[1867].speaker SPEAKER_24
transcript.pyannote[1867].start 10460.33721875
transcript.pyannote[1867].end 10464.50534375
transcript.pyannote[1868].speaker SPEAKER_24
transcript.pyannote[1868].start 10465.23096875
transcript.pyannote[1868].end 10470.17534375
transcript.pyannote[1869].speaker SPEAKER_24
transcript.pyannote[1869].start 10470.61409375
transcript.pyannote[1869].end 10471.47471875
transcript.pyannote[1870].speaker SPEAKER_24
transcript.pyannote[1870].start 10471.60971875
transcript.pyannote[1870].end 10472.38596875
transcript.pyannote[1871].speaker SPEAKER_24
transcript.pyannote[1871].start 10472.57159375
transcript.pyannote[1871].end 10473.44909375
transcript.pyannote[1872].speaker SPEAKER_24
transcript.pyannote[1872].start 10473.71909375
transcript.pyannote[1872].end 10475.06909375
transcript.pyannote[1873].speaker SPEAKER_24
transcript.pyannote[1873].start 10475.49096875
transcript.pyannote[1873].end 10476.01409375
transcript.pyannote[1874].speaker SPEAKER_24
transcript.pyannote[1874].start 10476.60471875
transcript.pyannote[1874].end 10477.04346875
transcript.pyannote[1875].speaker SPEAKER_24
transcript.pyannote[1875].start 10478.07284375
transcript.pyannote[1875].end 10481.32971875
transcript.pyannote[1876].speaker SPEAKER_24
transcript.pyannote[1876].start 10481.53221875
transcript.pyannote[1876].end 10490.47596875
transcript.pyannote[1877].speaker SPEAKER_24
transcript.pyannote[1877].start 10491.11721875
transcript.pyannote[1877].end 10492.55159375
transcript.pyannote[1878].speaker SPEAKER_24
transcript.pyannote[1878].start 10493.34471875
transcript.pyannote[1878].end 10496.19659375
transcript.pyannote[1879].speaker SPEAKER_24
transcript.pyannote[1879].start 10496.60159375
transcript.pyannote[1879].end 10497.46221875
transcript.pyannote[1880].speaker SPEAKER_24
transcript.pyannote[1880].start 10497.78284375
transcript.pyannote[1880].end 10499.87534375
transcript.pyannote[1881].speaker SPEAKER_24
transcript.pyannote[1881].start 10500.66846875
transcript.pyannote[1881].end 10501.69784375
transcript.pyannote[1882].speaker SPEAKER_24
transcript.pyannote[1882].start 10501.96784375
transcript.pyannote[1882].end 10504.38096875
transcript.pyannote[1883].speaker SPEAKER_24
transcript.pyannote[1883].start 10504.85346875
transcript.pyannote[1883].end 10511.70471875
transcript.pyannote[1884].speaker SPEAKER_24
transcript.pyannote[1884].start 10512.17721875
transcript.pyannote[1884].end 10512.43034375
transcript.pyannote[1885].speaker SPEAKER_24
transcript.pyannote[1885].start 10512.85221875
transcript.pyannote[1885].end 10519.95659375
transcript.pyannote[1886].speaker SPEAKER_24
transcript.pyannote[1886].start 10520.00721875
transcript.pyannote[1886].end 10522.03221875
transcript.pyannote[1887].speaker SPEAKER_24
transcript.pyannote[1887].start 10522.45409375
transcript.pyannote[1887].end 10522.60596875
transcript.pyannote[1888].speaker SPEAKER_24
transcript.pyannote[1888].start 10522.77471875
transcript.pyannote[1888].end 10524.51284375
transcript.pyannote[1889].speaker SPEAKER_24
transcript.pyannote[1889].start 10525.57596875
transcript.pyannote[1889].end 10527.98909375
transcript.pyannote[1890].speaker SPEAKER_24
transcript.pyannote[1890].start 10528.46159375
transcript.pyannote[1890].end 10531.78596875
transcript.pyannote[1891].speaker SPEAKER_24
transcript.pyannote[1891].start 10531.83659375
transcript.pyannote[1891].end 10534.53659375
transcript.pyannote[1892].speaker SPEAKER_24
transcript.pyannote[1892].start 10535.32971875
transcript.pyannote[1892].end 10536.98346875
transcript.pyannote[1893].speaker SPEAKER_24
transcript.pyannote[1893].start 10537.50659375
transcript.pyannote[1893].end 10539.75096875
transcript.pyannote[1894].speaker SPEAKER_03
transcript.pyannote[1894].start 10539.75096875
transcript.pyannote[1894].end 10540.22346875
transcript.pyannote[1895].speaker SPEAKER_24
transcript.pyannote[1895].start 10540.22346875
transcript.pyannote[1895].end 10540.24034375
transcript.pyannote[1896].speaker SPEAKER_03
transcript.pyannote[1896].start 10540.57784375
transcript.pyannote[1896].end 10546.77096875
transcript.pyannote[1897].speaker SPEAKER_03
transcript.pyannote[1897].start 10546.88909375
transcript.pyannote[1897].end 10561.90784375
transcript.pyannote[1898].speaker SPEAKER_03
transcript.pyannote[1898].start 10562.16096875
transcript.pyannote[1898].end 10564.23659375
transcript.pyannote[1899].speaker SPEAKER_03
transcript.pyannote[1899].start 10564.70909375
transcript.pyannote[1899].end 10571.67846875
transcript.pyannote[1900].speaker SPEAKER_24
transcript.pyannote[1900].start 10567.61159375
transcript.pyannote[1900].end 10567.86471875
transcript.pyannote[1901].speaker SPEAKER_00
transcript.pyannote[1901].start 10567.86471875
transcript.pyannote[1901].end 10567.94909375
transcript.pyannote[1902].speaker SPEAKER_24
transcript.pyannote[1902].start 10568.18534375
transcript.pyannote[1902].end 10568.20221875
transcript.pyannote[1903].speaker SPEAKER_00
transcript.pyannote[1903].start 10568.20221875
transcript.pyannote[1903].end 10568.23596875
transcript.pyannote[1904].speaker SPEAKER_00
transcript.pyannote[1904].start 10570.66596875
transcript.pyannote[1904].end 10570.68284375
transcript.pyannote[1905].speaker SPEAKER_24
transcript.pyannote[1905].start 10570.68284375
transcript.pyannote[1905].end 10581.66846875
transcript.pyannote[1906].speaker SPEAKER_24
transcript.pyannote[1906].start 10582.57971875
transcript.pyannote[1906].end 10583.65971875
transcript.pyannote[1907].speaker SPEAKER_24
transcript.pyannote[1907].start 10584.84096875
transcript.pyannote[1907].end 10595.05034375
transcript.pyannote[1908].speaker SPEAKER_24
transcript.pyannote[1908].start 10595.79284375
transcript.pyannote[1908].end 10597.37909375
transcript.pyannote[1909].speaker SPEAKER_24
transcript.pyannote[1909].start 10597.71659375
transcript.pyannote[1909].end 10600.07909375
transcript.pyannote[1910].speaker SPEAKER_24
transcript.pyannote[1910].start 10600.46721875
transcript.pyannote[1910].end 10603.96034375
transcript.pyannote[1911].speaker SPEAKER_24
transcript.pyannote[1911].start 10604.07846875
transcript.pyannote[1911].end 10609.17471875
transcript.pyannote[1912].speaker SPEAKER_24
transcript.pyannote[1912].start 10609.29284375
transcript.pyannote[1912].end 10612.07721875
transcript.pyannote[1913].speaker SPEAKER_10
transcript.pyannote[1913].start 10615.65471875
transcript.pyannote[1913].end 10618.52346875
transcript.pyannote[1914].speaker SPEAKER_24
transcript.pyannote[1914].start 10629.86346875
transcript.pyannote[1914].end 10631.83784375
transcript.pyannote[1915].speaker SPEAKER_10
transcript.pyannote[1915].start 10635.48284375
transcript.pyannote[1915].end 10638.03096875
transcript.pyannote[1916].speaker SPEAKER_10
transcript.pyannote[1916].start 10647.02534375
transcript.pyannote[1916].end 10647.54846875
transcript.pyannote[1917].speaker SPEAKER_10
transcript.pyannote[1917].start 10648.20659375
transcript.pyannote[1917].end 10652.99909375
transcript.pyannote[1918].speaker SPEAKER_10
transcript.pyannote[1918].start 10653.04971875
transcript.pyannote[1918].end 10665.82409375
transcript.pyannote[1919].speaker SPEAKER_03
transcript.pyannote[1919].start 10665.82409375
transcript.pyannote[1919].end 10667.20784375
transcript.pyannote[1920].speaker SPEAKER_10
transcript.pyannote[1920].start 10667.20784375
transcript.pyannote[1920].end 10670.43096875
transcript.pyannote[1921].speaker SPEAKER_10
transcript.pyannote[1921].start 10671.07221875
transcript.pyannote[1921].end 10679.81346875
transcript.pyannote[1922].speaker SPEAKER_14
transcript.pyannote[1922].start 10679.67846875
transcript.pyannote[1922].end 10679.69534375
transcript.pyannote[1923].speaker SPEAKER_16
transcript.pyannote[1923].start 10679.69534375
transcript.pyannote[1923].end 10680.03284375
transcript.pyannote[1924].speaker SPEAKER_10
transcript.pyannote[1924].start 10679.89784375
transcript.pyannote[1924].end 10682.98596875
transcript.pyannote[1925].speaker SPEAKER_16
transcript.pyannote[1925].start 10682.98596875
transcript.pyannote[1925].end 10683.12096875
transcript.pyannote[1926].speaker SPEAKER_10
transcript.pyannote[1926].start 10683.12096875
transcript.pyannote[1926].end 10686.83346875
transcript.pyannote[1927].speaker SPEAKER_16
transcript.pyannote[1927].start 10683.17159375
transcript.pyannote[1927].end 10683.20534375
transcript.pyannote[1928].speaker SPEAKER_10
transcript.pyannote[1928].start 10687.25534375
transcript.pyannote[1928].end 10702.61159375
transcript.pyannote[1929].speaker SPEAKER_10
transcript.pyannote[1929].start 10702.96596875
transcript.pyannote[1929].end 10707.77534375
transcript.pyannote[1930].speaker SPEAKER_10
transcript.pyannote[1930].start 10708.02846875
transcript.pyannote[1930].end 10730.52284375
transcript.pyannote[1931].speaker SPEAKER_10
transcript.pyannote[1931].start 10731.24846875
transcript.pyannote[1931].end 10732.32846875
transcript.pyannote[1932].speaker SPEAKER_10
transcript.pyannote[1932].start 10733.00346875
transcript.pyannote[1932].end 10737.93096875
transcript.pyannote[1933].speaker SPEAKER_10
transcript.pyannote[1933].start 10738.26846875
transcript.pyannote[1933].end 10742.16659375
transcript.pyannote[1934].speaker SPEAKER_10
transcript.pyannote[1934].start 10742.52096875
transcript.pyannote[1934].end 10745.00159375
transcript.pyannote[1935].speaker SPEAKER_10
transcript.pyannote[1935].start 10745.47409375
transcript.pyannote[1935].end 10749.60846875
transcript.pyannote[1936].speaker SPEAKER_10
transcript.pyannote[1936].start 10749.97971875
transcript.pyannote[1936].end 10766.06159375
transcript.pyannote[1937].speaker SPEAKER_10
transcript.pyannote[1937].start 10766.75346875
transcript.pyannote[1937].end 10774.87034375
transcript.pyannote[1938].speaker SPEAKER_03
transcript.pyannote[1938].start 10774.87034375
transcript.pyannote[1938].end 10791.34034375
transcript.pyannote[1939].speaker SPEAKER_03
transcript.pyannote[1939].start 10791.59346875
transcript.pyannote[1939].end 10797.70221875
transcript.pyannote[1940].speaker SPEAKER_03
transcript.pyannote[1940].start 10798.07346875
transcript.pyannote[1940].end 10800.99284375
transcript.pyannote[1941].speaker SPEAKER_03
transcript.pyannote[1941].start 10801.12784375
transcript.pyannote[1941].end 10801.46534375
transcript.pyannote[1942].speaker SPEAKER_03
transcript.pyannote[1942].start 10802.02221875
transcript.pyannote[1942].end 10803.76034375
transcript.pyannote[1943].speaker SPEAKER_03
transcript.pyannote[1943].start 10804.26659375
transcript.pyannote[1943].end 10807.47284375
transcript.pyannote[1944].speaker SPEAKER_03
transcript.pyannote[1944].start 10807.82721875
transcript.pyannote[1944].end 10809.27846875
transcript.pyannote[1945].speaker SPEAKER_03
transcript.pyannote[1945].start 10809.64971875
transcript.pyannote[1945].end 10811.20221875
transcript.pyannote[1946].speaker SPEAKER_03
transcript.pyannote[1946].start 10811.45534375
transcript.pyannote[1946].end 10816.82159375
transcript.pyannote[1947].speaker SPEAKER_03
transcript.pyannote[1947].start 10816.88909375
transcript.pyannote[1947].end 10819.77471875
transcript.pyannote[1948].speaker SPEAKER_10
transcript.pyannote[1948].start 10818.54284375
transcript.pyannote[1948].end 10824.55034375
transcript.pyannote[1949].speaker SPEAKER_03
transcript.pyannote[1949].start 10823.62221875
transcript.pyannote[1949].end 10824.17909375
transcript.pyannote[1950].speaker SPEAKER_16
transcript.pyannote[1950].start 10824.17909375
transcript.pyannote[1950].end 10824.28034375
transcript.pyannote[1951].speaker SPEAKER_16
transcript.pyannote[1951].start 10824.55034375
transcript.pyannote[1951].end 10824.87096875
transcript.pyannote[1952].speaker SPEAKER_10
transcript.pyannote[1952].start 10825.32659375
transcript.pyannote[1952].end 10834.03409375
transcript.pyannote[1953].speaker SPEAKER_10
transcript.pyannote[1953].start 10834.55721875
transcript.pyannote[1953].end 10840.81784375
transcript.pyannote[1954].speaker SPEAKER_10
transcript.pyannote[1954].start 10841.56034375
transcript.pyannote[1954].end 10857.35534375
transcript.pyannote[1955].speaker SPEAKER_10
transcript.pyannote[1955].start 10857.76034375
transcript.pyannote[1955].end 10866.51846875
transcript.pyannote[1956].speaker SPEAKER_10
transcript.pyannote[1956].start 10866.72096875
transcript.pyannote[1956].end 10877.74034375
transcript.pyannote[1957].speaker SPEAKER_10
transcript.pyannote[1957].start 10878.06096875
transcript.pyannote[1957].end 10889.85659375
transcript.pyannote[1958].speaker SPEAKER_03
transcript.pyannote[1958].start 10889.68784375
transcript.pyannote[1958].end 10895.22284375
transcript.pyannote[1959].speaker SPEAKER_03
transcript.pyannote[1959].start 10895.66159375
transcript.pyannote[1959].end 10898.49659375
transcript.pyannote[1960].speaker SPEAKER_03
transcript.pyannote[1960].start 10898.85096875
transcript.pyannote[1960].end 10903.82909375
transcript.pyannote[1961].speaker SPEAKER_03
transcript.pyannote[1961].start 10904.18346875
transcript.pyannote[1961].end 10907.69346875
transcript.pyannote[1962].speaker SPEAKER_03
transcript.pyannote[1962].start 10907.79471875
transcript.pyannote[1962].end 10909.88721875
transcript.pyannote[1963].speaker SPEAKER_03
transcript.pyannote[1963].start 10910.44409375
transcript.pyannote[1963].end 10923.40409375
transcript.pyannote[1964].speaker SPEAKER_03
transcript.pyannote[1964].start 10923.91034375
transcript.pyannote[1964].end 10927.87596875
transcript.pyannote[1965].speaker SPEAKER_03
transcript.pyannote[1965].start 10928.29784375
transcript.pyannote[1965].end 10939.19909375
transcript.pyannote[1966].speaker SPEAKER_03
transcript.pyannote[1966].start 10939.58721875
transcript.pyannote[1966].end 10944.48096875
transcript.pyannote[1967].speaker SPEAKER_03
transcript.pyannote[1967].start 10945.07159375
transcript.pyannote[1967].end 10953.57659375
transcript.pyannote[1968].speaker SPEAKER_10
transcript.pyannote[1968].start 10947.58596875
transcript.pyannote[1968].end 10952.42909375
transcript.pyannote[1969].speaker SPEAKER_10
transcript.pyannote[1969].start 10953.88034375
transcript.pyannote[1969].end 10959.56721875
transcript.pyannote[1970].speaker SPEAKER_03
transcript.pyannote[1970].start 10959.78659375
transcript.pyannote[1970].end 10959.83721875
transcript.pyannote[1971].speaker SPEAKER_16
transcript.pyannote[1971].start 10959.83721875
transcript.pyannote[1971].end 10960.20846875
transcript.pyannote[1972].speaker SPEAKER_10
transcript.pyannote[1972].start 10960.29284375
transcript.pyannote[1972].end 10967.48159375
transcript.pyannote[1973].speaker SPEAKER_16
transcript.pyannote[1973].start 10967.39721875
transcript.pyannote[1973].end 10967.88659375
transcript.pyannote[1974].speaker SPEAKER_10
transcript.pyannote[1974].start 10967.76846875
transcript.pyannote[1974].end 10971.43034375
transcript.pyannote[1975].speaker SPEAKER_10
transcript.pyannote[1975].start 10971.49784375
transcript.pyannote[1975].end 10978.66971875
transcript.pyannote[1976].speaker SPEAKER_16
transcript.pyannote[1976].start 10978.66971875
transcript.pyannote[1976].end 10978.90596875
transcript.pyannote[1977].speaker SPEAKER_10
transcript.pyannote[1977].start 10978.90596875
transcript.pyannote[1977].end 10993.01346875
transcript.pyannote[1978].speaker SPEAKER_10
transcript.pyannote[1978].start 10993.31721875
transcript.pyannote[1978].end 10995.54471875
transcript.pyannote[1979].speaker SPEAKER_10
transcript.pyannote[1979].start 10995.71346875
transcript.pyannote[1979].end 11003.03721875
transcript.pyannote[1980].speaker SPEAKER_07
transcript.pyannote[1980].start 11001.95721875
transcript.pyannote[1980].end 11002.02471875
transcript.pyannote[1981].speaker SPEAKER_03
transcript.pyannote[1981].start 11002.02471875
transcript.pyannote[1981].end 11002.26096875
transcript.pyannote[1982].speaker SPEAKER_07
transcript.pyannote[1982].start 11002.26096875
transcript.pyannote[1982].end 11002.31159375
transcript.pyannote[1983].speaker SPEAKER_10
transcript.pyannote[1983].start 11003.29034375
transcript.pyannote[1983].end 11007.10409375
transcript.pyannote[1984].speaker SPEAKER_03
transcript.pyannote[1984].start 11007.17159375
transcript.pyannote[1984].end 11010.05721875
transcript.pyannote[1985].speaker SPEAKER_03
transcript.pyannote[1985].start 11010.39471875
transcript.pyannote[1985].end 11014.90034375
transcript.pyannote[1986].speaker SPEAKER_10
transcript.pyannote[1986].start 11015.15346875
transcript.pyannote[1986].end 11018.78159375
transcript.pyannote[1987].speaker SPEAKER_10
transcript.pyannote[1987].start 11019.38909375
transcript.pyannote[1987].end 11021.31284375
transcript.pyannote[1988].speaker SPEAKER_10
transcript.pyannote[1988].start 11022.32534375
transcript.pyannote[1988].end 11027.80971875
transcript.pyannote[1989].speaker SPEAKER_10
transcript.pyannote[1989].start 11028.38346875
transcript.pyannote[1989].end 11031.74159375
transcript.pyannote[1990].speaker SPEAKER_10
transcript.pyannote[1990].start 11032.36596875
transcript.pyannote[1990].end 11039.55471875
transcript.pyannote[1991].speaker SPEAKER_10
transcript.pyannote[1991].start 11039.67284375
transcript.pyannote[1991].end 11047.18221875
transcript.pyannote[1992].speaker SPEAKER_10
transcript.pyannote[1992].start 11047.63784375
transcript.pyannote[1992].end 11050.30409375
transcript.pyannote[1993].speaker SPEAKER_10
transcript.pyannote[1993].start 11051.04659375
transcript.pyannote[1993].end 11056.61534375
transcript.pyannote[1994].speaker SPEAKER_10
transcript.pyannote[1994].start 11057.10471875
transcript.pyannote[1994].end 11062.42034375
transcript.pyannote[1995].speaker SPEAKER_03
transcript.pyannote[1995].start 11062.50471875
transcript.pyannote[1995].end 11068.63034375
transcript.pyannote[1996].speaker SPEAKER_03
transcript.pyannote[1996].start 11068.69784375
transcript.pyannote[1996].end 11073.62534375
transcript.pyannote[1997].speaker SPEAKER_03
transcript.pyannote[1997].start 11073.84471875
transcript.pyannote[1997].end 11076.34221875
transcript.pyannote[1998].speaker SPEAKER_03
transcript.pyannote[1998].start 11076.74721875
transcript.pyannote[1998].end 11080.40909375
transcript.pyannote[1999].speaker SPEAKER_03
transcript.pyannote[1999].start 11080.74659375
transcript.pyannote[1999].end 11084.49284375
transcript.pyannote[2000].speaker SPEAKER_03
transcript.pyannote[2000].start 11084.91471875
transcript.pyannote[2000].end 11087.09159375
transcript.pyannote[2001].speaker SPEAKER_03
transcript.pyannote[2001].start 11087.34471875
transcript.pyannote[2001].end 11091.85034375
transcript.pyannote[2002].speaker SPEAKER_10
transcript.pyannote[2002].start 11091.56346875
transcript.pyannote[2002].end 11096.38971875
transcript.pyannote[2003].speaker SPEAKER_10
transcript.pyannote[2003].start 11096.74409375
transcript.pyannote[2003].end 11109.43409375
transcript.pyannote[2004].speaker SPEAKER_10
transcript.pyannote[2004].start 11109.73784375
transcript.pyannote[2004].end 11113.73721875
transcript.pyannote[2005].speaker SPEAKER_03
transcript.pyannote[2005].start 11113.65284375
transcript.pyannote[2005].end 11116.11659375
transcript.pyannote[2006].speaker SPEAKER_10
transcript.pyannote[2006].start 11114.41221875
transcript.pyannote[2006].end 11115.35721875
transcript.pyannote[2007].speaker SPEAKER_10
transcript.pyannote[2007].start 11116.09971875
transcript.pyannote[2007].end 11118.78284375
transcript.pyannote[2008].speaker SPEAKER_03
transcript.pyannote[2008].start 11119.20471875
transcript.pyannote[2008].end 11119.22159375
transcript.pyannote[2009].speaker SPEAKER_10
transcript.pyannote[2009].start 11119.22159375
transcript.pyannote[2009].end 11119.35659375
transcript.pyannote[2010].speaker SPEAKER_10
transcript.pyannote[2010].start 11119.79534375
transcript.pyannote[2010].end 11121.60096875
transcript.pyannote[2011].speaker SPEAKER_10
transcript.pyannote[2011].start 11121.82034375
transcript.pyannote[2011].end 11144.38221875
transcript.pyannote[2012].speaker SPEAKER_10
transcript.pyannote[2012].start 11144.82096875
transcript.pyannote[2012].end 11155.16534375
transcript.pyannote[2013].speaker SPEAKER_03
transcript.pyannote[2013].start 11154.28784375
transcript.pyannote[2013].end 11154.74346875
transcript.pyannote[2014].speaker SPEAKER_03
transcript.pyannote[2014].start 11155.16534375
transcript.pyannote[2014].end 11159.41784375
transcript.pyannote[2015].speaker SPEAKER_03
transcript.pyannote[2015].start 11159.78909375
transcript.pyannote[2015].end 11182.11471875
transcript.pyannote[2016].speaker SPEAKER_10
transcript.pyannote[2016].start 11169.67784375
transcript.pyannote[2016].end 11172.24284375
transcript.pyannote[2017].speaker SPEAKER_03
transcript.pyannote[2017].start 11182.51971875
transcript.pyannote[2017].end 11201.41971875
transcript.pyannote[2018].speaker SPEAKER_03
transcript.pyannote[2018].start 11201.70659375
transcript.pyannote[2018].end 11205.01409375
transcript.pyannote[2019].speaker SPEAKER_03
transcript.pyannote[2019].start 11205.84096875
transcript.pyannote[2019].end 11210.66721875
transcript.pyannote[2020].speaker SPEAKER_10
transcript.pyannote[2020].start 11208.47346875
transcript.pyannote[2020].end 11215.81409375
transcript.pyannote[2021].speaker SPEAKER_03
transcript.pyannote[2021].start 11214.88596875
transcript.pyannote[2021].end 11216.70846875
transcript.pyannote[2022].speaker SPEAKER_10
transcript.pyannote[2022].start 11215.88159375
transcript.pyannote[2022].end 11217.13034375
transcript.pyannote[2023].speaker SPEAKER_10
transcript.pyannote[2023].start 11217.73784375
transcript.pyannote[2023].end 11219.77971875
transcript.pyannote[2024].speaker SPEAKER_10
transcript.pyannote[2024].start 11220.01596875
transcript.pyannote[2024].end 11223.25596875
transcript.pyannote[2025].speaker SPEAKER_10
transcript.pyannote[2025].start 11223.49221875
transcript.pyannote[2025].end 11228.53784375
transcript.pyannote[2026].speaker SPEAKER_00
transcript.pyannote[2026].start 11223.79596875
transcript.pyannote[2026].end 11223.81284375
transcript.pyannote[2027].speaker SPEAKER_10
transcript.pyannote[2027].start 11229.07784375
transcript.pyannote[2027].end 11233.21221875
transcript.pyannote[2028].speaker SPEAKER_10
transcript.pyannote[2028].start 11233.80284375
transcript.pyannote[2028].end 11235.08534375
transcript.pyannote[2029].speaker SPEAKER_10
transcript.pyannote[2029].start 11235.47346875
transcript.pyannote[2029].end 11238.51096875
transcript.pyannote[2030].speaker SPEAKER_10
transcript.pyannote[2030].start 11238.81471875
transcript.pyannote[2030].end 11254.76159375
transcript.pyannote[2031].speaker SPEAKER_16
transcript.pyannote[2031].start 11251.09971875
transcript.pyannote[2031].end 11254.82909375
transcript.pyannote[2032].speaker SPEAKER_16
transcript.pyannote[2032].start 11255.06534375
transcript.pyannote[2032].end 11255.26784375
transcript.pyannote[2033].speaker SPEAKER_10
transcript.pyannote[2033].start 11255.26784375
transcript.pyannote[2033].end 11257.36034375
transcript.pyannote[2034].speaker SPEAKER_10
transcript.pyannote[2034].start 11258.30534375
transcript.pyannote[2034].end 11259.63846875
transcript.pyannote[2035].speaker SPEAKER_03
transcript.pyannote[2035].start 11260.04346875
transcript.pyannote[2035].end 11261.00534375
transcript.pyannote[2036].speaker SPEAKER_10
transcript.pyannote[2036].start 11261.00534375
transcript.pyannote[2036].end 11262.45659375
transcript.pyannote[2037].speaker SPEAKER_24
transcript.pyannote[2037].start 11264.56596875
transcript.pyannote[2037].end 11265.44346875
transcript.pyannote[2038].speaker SPEAKER_24
transcript.pyannote[2038].start 11265.73034375
transcript.pyannote[2038].end 11266.84409375
transcript.pyannote[2039].speaker SPEAKER_24
transcript.pyannote[2039].start 11267.31659375
transcript.pyannote[2039].end 11269.59471875
transcript.pyannote[2040].speaker SPEAKER_11
transcript.pyannote[2040].start 11284.15784375
transcript.pyannote[2040].end 11289.08534375
transcript.pyannote[2041].speaker SPEAKER_11
transcript.pyannote[2041].start 11289.69284375
transcript.pyannote[2041].end 11294.68784375
transcript.pyannote[2042].speaker SPEAKER_11
transcript.pyannote[2042].start 11295.16034375
transcript.pyannote[2042].end 11296.64534375
transcript.pyannote[2043].speaker SPEAKER_06
transcript.pyannote[2043].start 11295.34596875
transcript.pyannote[2043].end 11295.36284375
transcript.pyannote[2044].speaker SPEAKER_10
transcript.pyannote[2044].start 11295.36284375
transcript.pyannote[2044].end 11295.85221875
transcript.pyannote[2045].speaker SPEAKER_11
transcript.pyannote[2045].start 11296.96596875
transcript.pyannote[2045].end 11299.83471875
transcript.pyannote[2046].speaker SPEAKER_10
transcript.pyannote[2046].start 11300.20596875
transcript.pyannote[2046].end 11301.38721875
transcript.pyannote[2047].speaker SPEAKER_11
transcript.pyannote[2047].start 11300.25659375
transcript.pyannote[2047].end 11301.55596875
transcript.pyannote[2048].speaker SPEAKER_11
transcript.pyannote[2048].start 11301.80909375
transcript.pyannote[2048].end 11304.34034375
transcript.pyannote[2049].speaker SPEAKER_11
transcript.pyannote[2049].start 11304.79596875
transcript.pyannote[2049].end 11305.28534375
transcript.pyannote[2050].speaker SPEAKER_10
transcript.pyannote[2050].start 11305.28534375
transcript.pyannote[2050].end 11305.77471875
transcript.pyannote[2051].speaker SPEAKER_11
transcript.pyannote[2051].start 11306.39909375
transcript.pyannote[2051].end 11307.90096875
transcript.pyannote[2052].speaker SPEAKER_07
transcript.pyannote[2052].start 11310.51659375
transcript.pyannote[2052].end 11311.20846875
transcript.pyannote[2053].speaker SPEAKER_11
transcript.pyannote[2053].start 11311.98471875
transcript.pyannote[2053].end 11334.83346875
transcript.pyannote[2054].speaker SPEAKER_07
transcript.pyannote[2054].start 11313.26721875
transcript.pyannote[2054].end 11313.45284375
transcript.pyannote[2055].speaker SPEAKER_03
transcript.pyannote[2055].start 11334.83346875
transcript.pyannote[2055].end 11338.41096875
transcript.pyannote[2056].speaker SPEAKER_11
transcript.pyannote[2056].start 11337.82034375
transcript.pyannote[2056].end 11339.40659375
transcript.pyannote[2057].speaker SPEAKER_11
transcript.pyannote[2057].start 11340.46971875
transcript.pyannote[2057].end 11351.18534375
transcript.pyannote[2058].speaker SPEAKER_11
transcript.pyannote[2058].start 11351.65784375
transcript.pyannote[2058].end 11353.05846875
transcript.pyannote[2059].speaker SPEAKER_03
transcript.pyannote[2059].start 11353.32846875
transcript.pyannote[2059].end 11353.76721875
transcript.pyannote[2060].speaker SPEAKER_03
transcript.pyannote[2060].start 11354.03721875
transcript.pyannote[2060].end 11357.04096875
transcript.pyannote[2061].speaker SPEAKER_03
transcript.pyannote[2061].start 11357.44596875
transcript.pyannote[2061].end 11360.29784375
transcript.pyannote[2062].speaker SPEAKER_11
transcript.pyannote[2062].start 11360.29784375
transcript.pyannote[2062].end 11362.96409375
transcript.pyannote[2063].speaker SPEAKER_03
transcript.pyannote[2063].start 11362.96409375
transcript.pyannote[2063].end 11363.30159375
transcript.pyannote[2064].speaker SPEAKER_11
transcript.pyannote[2064].start 11363.30159375
transcript.pyannote[2064].end 11368.73534375
transcript.pyannote[2065].speaker SPEAKER_11
transcript.pyannote[2065].start 11369.08971875
transcript.pyannote[2065].end 11374.75971875
transcript.pyannote[2066].speaker SPEAKER_16
transcript.pyannote[2066].start 11374.91159375
transcript.pyannote[2066].end 11375.29971875
transcript.pyannote[2067].speaker SPEAKER_11
transcript.pyannote[2067].start 11375.24909375
transcript.pyannote[2067].end 11392.96784375
transcript.pyannote[2068].speaker SPEAKER_11
transcript.pyannote[2068].start 11393.44034375
transcript.pyannote[2068].end 11396.51159375
transcript.pyannote[2069].speaker SPEAKER_11
transcript.pyannote[2069].start 11396.68034375
transcript.pyannote[2069].end 11405.01659375
transcript.pyannote[2070].speaker SPEAKER_11
transcript.pyannote[2070].start 11405.38784375
transcript.pyannote[2070].end 11411.47971875
transcript.pyannote[2071].speaker SPEAKER_11
transcript.pyannote[2071].start 11412.18846875
transcript.pyannote[2071].end 11414.95596875
transcript.pyannote[2072].speaker SPEAKER_11
transcript.pyannote[2072].start 11415.14159375
transcript.pyannote[2072].end 11416.67721875
transcript.pyannote[2073].speaker SPEAKER_11
transcript.pyannote[2073].start 11416.98096875
transcript.pyannote[2073].end 11424.05159375
transcript.pyannote[2074].speaker SPEAKER_11
transcript.pyannote[2074].start 11424.37221875
transcript.pyannote[2074].end 11435.35784375
transcript.pyannote[2075].speaker SPEAKER_11
transcript.pyannote[2075].start 11435.93159375
transcript.pyannote[2075].end 11436.57284375
transcript.pyannote[2076].speaker SPEAKER_11
transcript.pyannote[2076].start 11437.04534375
transcript.pyannote[2076].end 11439.54284375
transcript.pyannote[2077].speaker SPEAKER_11
transcript.pyannote[2077].start 11440.42034375
transcript.pyannote[2077].end 11442.36096875
transcript.pyannote[2078].speaker SPEAKER_11
transcript.pyannote[2078].start 11442.66471875
transcript.pyannote[2078].end 11444.77409375
transcript.pyannote[2079].speaker SPEAKER_11
transcript.pyannote[2079].start 11445.60096875
transcript.pyannote[2079].end 11461.04159375
transcript.pyannote[2080].speaker SPEAKER_11
transcript.pyannote[2080].start 11461.46346875
transcript.pyannote[2080].end 11466.45846875
transcript.pyannote[2081].speaker SPEAKER_25
transcript.pyannote[2081].start 11469.12471875
transcript.pyannote[2081].end 11482.54034375
transcript.pyannote[2082].speaker SPEAKER_11
transcript.pyannote[2082].start 11481.96659375
transcript.pyannote[2082].end 11487.58596875
transcript.pyannote[2083].speaker SPEAKER_25
transcript.pyannote[2083].start 11483.75534375
transcript.pyannote[2083].end 11484.19409375
transcript.pyannote[2084].speaker SPEAKER_11
transcript.pyannote[2084].start 11487.94034375
transcript.pyannote[2084].end 11489.76284375
transcript.pyannote[2085].speaker SPEAKER_11
transcript.pyannote[2085].start 11490.21846875
transcript.pyannote[2085].end 11498.53784375
transcript.pyannote[2086].speaker SPEAKER_11
transcript.pyannote[2086].start 11499.51659375
transcript.pyannote[2086].end 11502.30096875
transcript.pyannote[2087].speaker SPEAKER_07
transcript.pyannote[2087].start 11501.45721875
transcript.pyannote[2087].end 11501.50784375
transcript.pyannote[2088].speaker SPEAKER_26
transcript.pyannote[2088].start 11501.50784375
transcript.pyannote[2088].end 11502.19971875
transcript.pyannote[2089].speaker SPEAKER_07
transcript.pyannote[2089].start 11502.19971875
transcript.pyannote[2089].end 11502.26721875
transcript.pyannote[2090].speaker SPEAKER_26
transcript.pyannote[2090].start 11502.30096875
transcript.pyannote[2090].end 11502.40221875
transcript.pyannote[2091].speaker SPEAKER_11
transcript.pyannote[2091].start 11505.20346875
transcript.pyannote[2091].end 11506.04721875
transcript.pyannote[2092].speaker SPEAKER_11
transcript.pyannote[2092].start 11506.23284375
transcript.pyannote[2092].end 11507.48159375
transcript.pyannote[2093].speaker SPEAKER_11
transcript.pyannote[2093].start 11508.13971875
transcript.pyannote[2093].end 11509.45596875
transcript.pyannote[2094].speaker SPEAKER_11
transcript.pyannote[2094].start 11509.72596875
transcript.pyannote[2094].end 11516.22284375
transcript.pyannote[2095].speaker SPEAKER_11
transcript.pyannote[2095].start 11516.42534375
transcript.pyannote[2095].end 11519.90159375
transcript.pyannote[2096].speaker SPEAKER_11
transcript.pyannote[2096].start 11520.76221875
transcript.pyannote[2096].end 11522.53409375
transcript.pyannote[2097].speaker SPEAKER_11
transcript.pyannote[2097].start 11522.58471875
transcript.pyannote[2097].end 11525.20034375
transcript.pyannote[2098].speaker SPEAKER_11
transcript.pyannote[2098].start 11525.47034375
transcript.pyannote[2098].end 11538.16034375
transcript.pyannote[2099].speaker SPEAKER_11
transcript.pyannote[2099].start 11538.49784375
transcript.pyannote[2099].end 11540.28659375
transcript.pyannote[2100].speaker SPEAKER_11
transcript.pyannote[2100].start 11540.62409375
transcript.pyannote[2100].end 11544.80909375
transcript.pyannote[2101].speaker SPEAKER_11
transcript.pyannote[2101].start 11544.96096875
transcript.pyannote[2101].end 11545.39971875
transcript.pyannote[2102].speaker SPEAKER_11
transcript.pyannote[2102].start 11545.83846875
transcript.pyannote[2102].end 11546.88471875
transcript.pyannote[2103].speaker SPEAKER_11
transcript.pyannote[2103].start 11547.30659375
transcript.pyannote[2103].end 11557.38096875
transcript.pyannote[2104].speaker SPEAKER_11
transcript.pyannote[2104].start 11558.00534375
transcript.pyannote[2104].end 11560.48596875
transcript.pyannote[2105].speaker SPEAKER_11
transcript.pyannote[2105].start 11561.46471875
transcript.pyannote[2105].end 11575.33596875
transcript.pyannote[2106].speaker SPEAKER_11
transcript.pyannote[2106].start 11575.63971875
transcript.pyannote[2106].end 11576.04471875
transcript.pyannote[2107].speaker SPEAKER_11
transcript.pyannote[2107].start 11576.58471875
transcript.pyannote[2107].end 11580.02721875
transcript.pyannote[2108].speaker SPEAKER_11
transcript.pyannote[2108].start 11580.31409375
transcript.pyannote[2108].end 11583.79034375
transcript.pyannote[2109].speaker SPEAKER_11
transcript.pyannote[2109].start 11585.02221875
transcript.pyannote[2109].end 11586.60846875
transcript.pyannote[2110].speaker SPEAKER_11
transcript.pyannote[2110].start 11588.46471875
transcript.pyannote[2110].end 11593.51034375
transcript.pyannote[2111].speaker SPEAKER_25
transcript.pyannote[2111].start 11589.96659375
transcript.pyannote[2111].end 11589.98346875
transcript.pyannote[2112].speaker SPEAKER_08
transcript.pyannote[2112].start 11589.98346875
transcript.pyannote[2112].end 11590.05096875
transcript.pyannote[2113].speaker SPEAKER_25
transcript.pyannote[2113].start 11590.05096875
transcript.pyannote[2113].end 11590.43909375
transcript.pyannote[2114].speaker SPEAKER_08
transcript.pyannote[2114].start 11590.43909375
transcript.pyannote[2114].end 11590.57409375
transcript.pyannote[2115].speaker SPEAKER_25
transcript.pyannote[2115].start 11590.57409375
transcript.pyannote[2115].end 11590.67534375
transcript.pyannote[2116].speaker SPEAKER_11
transcript.pyannote[2116].start 11594.43846875
transcript.pyannote[2116].end 11597.67846875
transcript.pyannote[2117].speaker SPEAKER_11
transcript.pyannote[2117].start 11598.11721875
transcript.pyannote[2117].end 11600.69909375
transcript.pyannote[2118].speaker SPEAKER_11
transcript.pyannote[2118].start 11601.54284375
transcript.pyannote[2118].end 11602.82534375
transcript.pyannote[2119].speaker SPEAKER_11
transcript.pyannote[2119].start 11603.28096875
transcript.pyannote[2119].end 11612.02221875
transcript.pyannote[2120].speaker SPEAKER_11
transcript.pyannote[2120].start 11612.15721875
transcript.pyannote[2120].end 11629.87596875
transcript.pyannote[2121].speaker SPEAKER_11
transcript.pyannote[2121].start 11630.50034375
transcript.pyannote[2121].end 11633.26784375
transcript.pyannote[2122].speaker SPEAKER_11
transcript.pyannote[2122].start 11633.68971875
transcript.pyannote[2122].end 11636.13659375
transcript.pyannote[2123].speaker SPEAKER_09
transcript.pyannote[2123].start 11636.35596875
transcript.pyannote[2123].end 11636.52471875
transcript.pyannote[2124].speaker SPEAKER_09
transcript.pyannote[2124].start 11636.89596875
transcript.pyannote[2124].end 11637.03096875
transcript.pyannote[2125].speaker SPEAKER_09
transcript.pyannote[2125].start 11637.35159375
transcript.pyannote[2125].end 11654.02409375
transcript.pyannote[2126].speaker SPEAKER_11
transcript.pyannote[2126].start 11654.02409375
transcript.pyannote[2126].end 11662.76534375
transcript.pyannote[2127].speaker SPEAKER_11
transcript.pyannote[2127].start 11663.13659375
transcript.pyannote[2127].end 11665.71846875
transcript.pyannote[2128].speaker SPEAKER_11
transcript.pyannote[2128].start 11666.12346875
transcript.pyannote[2128].end 11668.75596875
transcript.pyannote[2129].speaker SPEAKER_11
transcript.pyannote[2129].start 11669.05971875
transcript.pyannote[2129].end 11669.98784375
transcript.pyannote[2130].speaker SPEAKER_11
transcript.pyannote[2130].start 11670.59534375
transcript.pyannote[2130].end 11678.93159375
transcript.pyannote[2131].speaker SPEAKER_11
transcript.pyannote[2131].start 11679.11721875
transcript.pyannote[2131].end 11687.01471875
transcript.pyannote[2132].speaker SPEAKER_11
transcript.pyannote[2132].start 11687.33534375
transcript.pyannote[2132].end 11692.11096875
transcript.pyannote[2133].speaker SPEAKER_11
transcript.pyannote[2133].start 11692.21221875
transcript.pyannote[2133].end 11693.64659375
transcript.pyannote[2134].speaker SPEAKER_11
transcript.pyannote[2134].start 11695.90784375
transcript.pyannote[2134].end 11696.92034375
transcript.pyannote[2135].speaker SPEAKER_11
transcript.pyannote[2135].start 11697.05534375
transcript.pyannote[2135].end 11697.42659375
transcript.pyannote[2136].speaker SPEAKER_11
transcript.pyannote[2136].start 11698.05096875
transcript.pyannote[2136].end 11699.35034375
transcript.pyannote[2137].speaker SPEAKER_11
transcript.pyannote[2137].start 11699.82284375
transcript.pyannote[2137].end 11721.01784375
transcript.pyannote[2138].speaker SPEAKER_11
transcript.pyannote[2138].start 11722.16534375
transcript.pyannote[2138].end 11722.78971875
transcript.pyannote[2139].speaker SPEAKER_11
transcript.pyannote[2139].start 11722.92471875
transcript.pyannote[2139].end 11723.38034375
transcript.pyannote[2140].speaker SPEAKER_11
transcript.pyannote[2140].start 11726.70471875
transcript.pyannote[2140].end 11728.27409375
transcript.pyannote[2141].speaker SPEAKER_11
transcript.pyannote[2141].start 11728.61159375
transcript.pyannote[2141].end 11733.43784375
transcript.pyannote[2142].speaker SPEAKER_11
transcript.pyannote[2142].start 11733.58971875
transcript.pyannote[2142].end 11748.22034375
transcript.pyannote[2143].speaker SPEAKER_11
transcript.pyannote[2143].start 11748.70971875
transcript.pyannote[2143].end 11752.70909375
transcript.pyannote[2144].speaker SPEAKER_11
transcript.pyannote[2144].start 11753.68784375
transcript.pyannote[2144].end 11759.40846875
transcript.pyannote[2145].speaker SPEAKER_11
transcript.pyannote[2145].start 11759.81346875
transcript.pyannote[2145].end 11799.70596875
transcript.pyannote[2146].speaker SPEAKER_11
transcript.pyannote[2146].start 11800.27971875
transcript.pyannote[2146].end 11800.81971875
transcript.pyannote[2147].speaker SPEAKER_11
transcript.pyannote[2147].start 11800.97159375
transcript.pyannote[2147].end 11825.22096875
transcript.pyannote[2148].speaker SPEAKER_11
transcript.pyannote[2148].start 11825.64284375
transcript.pyannote[2148].end 11826.01409375
transcript.pyannote[2149].speaker SPEAKER_11
transcript.pyannote[2149].start 11827.26284375
transcript.pyannote[2149].end 11829.62534375
transcript.pyannote[2150].speaker SPEAKER_11
transcript.pyannote[2150].start 11829.94596875
transcript.pyannote[2150].end 11830.87409375
transcript.pyannote[2151].speaker SPEAKER_11
transcript.pyannote[2151].start 11831.36346875
transcript.pyannote[2151].end 11838.31596875
transcript.pyannote[2152].speaker SPEAKER_11
transcript.pyannote[2152].start 11838.53534375
transcript.pyannote[2152].end 11844.71159375
transcript.pyannote[2153].speaker SPEAKER_11
transcript.pyannote[2153].start 11845.43721875
transcript.pyannote[2153].end 11847.14159375
transcript.pyannote[2154].speaker SPEAKER_03
transcript.pyannote[2154].start 11847.95159375
transcript.pyannote[2154].end 11861.45159375
transcript.pyannote[2155].speaker SPEAKER_11
transcript.pyannote[2155].start 11854.21221875
transcript.pyannote[2155].end 11856.91221875
transcript.pyannote[2156].speaker SPEAKER_03
transcript.pyannote[2156].start 11861.68784375
transcript.pyannote[2156].end 11865.97409375
transcript.pyannote[2157].speaker SPEAKER_11
transcript.pyannote[2157].start 11864.86034375
transcript.pyannote[2157].end 11865.36659375
transcript.pyannote[2158].speaker SPEAKER_11
transcript.pyannote[2158].start 11865.97409375
transcript.pyannote[2158].end 11866.15971875
transcript.pyannote[2159].speaker SPEAKER_03
transcript.pyannote[2159].start 11866.15971875
transcript.pyannote[2159].end 11866.17659375
transcript.pyannote[2160].speaker SPEAKER_03
transcript.pyannote[2160].start 11866.83471875
transcript.pyannote[2160].end 11868.10034375
transcript.pyannote[2161].speaker SPEAKER_11
transcript.pyannote[2161].start 11867.61096875
transcript.pyannote[2161].end 11869.73721875
transcript.pyannote[2162].speaker SPEAKER_11
transcript.pyannote[2162].start 11870.26034375
transcript.pyannote[2162].end 11870.31096875
transcript.pyannote[2163].speaker SPEAKER_03
transcript.pyannote[2163].start 11870.31096875
transcript.pyannote[2163].end 11870.63159375
transcript.pyannote[2164].speaker SPEAKER_11
transcript.pyannote[2164].start 11870.63159375
transcript.pyannote[2164].end 11870.66534375
transcript.pyannote[2165].speaker SPEAKER_11
transcript.pyannote[2165].start 11870.90159375
transcript.pyannote[2165].end 11878.44471875
transcript.pyannote[2166].speaker SPEAKER_03
transcript.pyannote[2166].start 11876.06534375
transcript.pyannote[2166].end 11876.63909375
transcript.pyannote[2167].speaker SPEAKER_03
transcript.pyannote[2167].start 11877.90471875
transcript.pyannote[2167].end 11880.90846875
transcript.pyannote[2168].speaker SPEAKER_11
transcript.pyannote[2168].start 11881.19534375
transcript.pyannote[2168].end 11887.99596875
transcript.pyannote[2169].speaker SPEAKER_10
transcript.pyannote[2169].start 11891.23596875
transcript.pyannote[2169].end 11893.05846875
transcript.pyannote[2170].speaker SPEAKER_10
transcript.pyannote[2170].start 11893.61534375
transcript.pyannote[2170].end 11896.99034375
transcript.pyannote[2171].speaker SPEAKER_10
transcript.pyannote[2171].start 11897.58096875
transcript.pyannote[2171].end 11900.39909375
transcript.pyannote[2172].speaker SPEAKER_10
transcript.pyannote[2172].start 11900.77034375
transcript.pyannote[2172].end 11902.91346875
transcript.pyannote[2173].speaker SPEAKER_19
transcript.pyannote[2173].start 11912.39721875
transcript.pyannote[2173].end 11915.83971875
transcript.pyannote[2174].speaker SPEAKER_10
transcript.pyannote[2174].start 11916.17721875
transcript.pyannote[2174].end 11917.00409375
transcript.pyannote[2175].speaker SPEAKER_19
transcript.pyannote[2175].start 11922.67409375
transcript.pyannote[2175].end 11922.70784375
transcript.pyannote[2176].speaker SPEAKER_07
transcript.pyannote[2176].start 11922.70784375
transcript.pyannote[2176].end 11923.33221875
transcript.pyannote[2177].speaker SPEAKER_19
transcript.pyannote[2177].start 11923.33221875
transcript.pyannote[2177].end 11940.22409375
transcript.pyannote[2178].speaker SPEAKER_07
transcript.pyannote[2178].start 11927.95596875
transcript.pyannote[2178].end 11928.29346875
transcript.pyannote[2179].speaker SPEAKER_19
transcript.pyannote[2179].start 11940.40971875
transcript.pyannote[2179].end 11944.79721875
transcript.pyannote[2180].speaker SPEAKER_19
transcript.pyannote[2180].start 11944.89846875
transcript.pyannote[2180].end 11955.20909375
transcript.pyannote[2181].speaker SPEAKER_19
transcript.pyannote[2181].start 11955.46221875
transcript.pyannote[2181].end 11971.18971875
transcript.pyannote[2182].speaker SPEAKER_07
transcript.pyannote[2182].start 11972.11784375
transcript.pyannote[2182].end 11974.56471875
transcript.pyannote[2183].speaker SPEAKER_07
transcript.pyannote[2183].start 11975.86409375
transcript.pyannote[2183].end 11978.32784375
transcript.pyannote[2184].speaker SPEAKER_07
transcript.pyannote[2184].start 11979.08721875
transcript.pyannote[2184].end 11982.91784375
transcript.pyannote[2185].speaker SPEAKER_07
transcript.pyannote[2185].start 11983.15409375
transcript.pyannote[2185].end 11986.52909375
transcript.pyannote[2186].speaker SPEAKER_07
transcript.pyannote[2186].start 11986.98471875
transcript.pyannote[2186].end 12000.38346875
transcript.pyannote[2187].speaker SPEAKER_07
transcript.pyannote[2187].start 12000.63659375
transcript.pyannote[2187].end 12004.43346875
transcript.pyannote[2188].speaker SPEAKER_19
transcript.pyannote[2188].start 12003.67409375
transcript.pyannote[2188].end 12010.15409375
transcript.pyannote[2189].speaker SPEAKER_07
transcript.pyannote[2189].start 12010.52534375
transcript.pyannote[2189].end 12011.14971875
transcript.pyannote[2190].speaker SPEAKER_19
transcript.pyannote[2190].start 12010.98096875
transcript.pyannote[2190].end 12015.23346875
transcript.pyannote[2191].speaker SPEAKER_07
transcript.pyannote[2191].start 12016.53284375
transcript.pyannote[2191].end 12016.54971875
transcript.pyannote[2192].speaker SPEAKER_19
transcript.pyannote[2192].start 12016.54971875
transcript.pyannote[2192].end 12017.32596875
transcript.pyannote[2193].speaker SPEAKER_07
transcript.pyannote[2193].start 12016.56659375
transcript.pyannote[2193].end 12020.12721875
transcript.pyannote[2194].speaker SPEAKER_19
transcript.pyannote[2194].start 12020.78534375
transcript.pyannote[2194].end 12022.52346875
transcript.pyannote[2195].speaker SPEAKER_07
transcript.pyannote[2195].start 12021.93284375
transcript.pyannote[2195].end 12024.41346875
transcript.pyannote[2196].speaker SPEAKER_19
transcript.pyannote[2196].start 12025.67909375
transcript.pyannote[2196].end 12027.75471875
transcript.pyannote[2197].speaker SPEAKER_07
transcript.pyannote[2197].start 12026.70846875
transcript.pyannote[2197].end 12028.12596875
transcript.pyannote[2198].speaker SPEAKER_19
transcript.pyannote[2198].start 12028.32846875
transcript.pyannote[2198].end 12039.14534375
transcript.pyannote[2199].speaker SPEAKER_19
transcript.pyannote[2199].start 12039.43221875
transcript.pyannote[2199].end 12059.27721875
transcript.pyannote[2200].speaker SPEAKER_07
transcript.pyannote[2200].start 12059.51346875
transcript.pyannote[2200].end 12061.85909375
transcript.pyannote[2201].speaker SPEAKER_07
transcript.pyannote[2201].start 12062.51721875
transcript.pyannote[2201].end 12066.65159375
transcript.pyannote[2202].speaker SPEAKER_07
transcript.pyannote[2202].start 12066.87096875
transcript.pyannote[2202].end 12076.50659375
transcript.pyannote[2203].speaker SPEAKER_19
transcript.pyannote[2203].start 12072.40596875
transcript.pyannote[2203].end 12072.86159375
transcript.pyannote[2204].speaker SPEAKER_19
transcript.pyannote[2204].start 12075.81471875
transcript.pyannote[2204].end 12082.93596875
transcript.pyannote[2205].speaker SPEAKER_07
transcript.pyannote[2205].start 12077.16471875
transcript.pyannote[2205].end 12078.37971875
transcript.pyannote[2206].speaker SPEAKER_07
transcript.pyannote[2206].start 12080.28659375
transcript.pyannote[2206].end 12081.72096875
transcript.pyannote[2207].speaker SPEAKER_07
transcript.pyannote[2207].start 12083.64471875
transcript.pyannote[2207].end 12084.16784375
transcript.pyannote[2208].speaker SPEAKER_19
transcript.pyannote[2208].start 12084.16784375
transcript.pyannote[2208].end 12084.18471875
transcript.pyannote[2209].speaker SPEAKER_07
transcript.pyannote[2209].start 12084.38721875
transcript.pyannote[2209].end 12084.52221875
transcript.pyannote[2210].speaker SPEAKER_07
transcript.pyannote[2210].start 12086.58096875
transcript.pyannote[2210].end 12087.42471875
transcript.pyannote[2211].speaker SPEAKER_18
transcript.pyannote[2211].start 12088.01534375
transcript.pyannote[2211].end 12106.86471875
transcript.pyannote[2212].speaker SPEAKER_19
transcript.pyannote[2212].start 12106.44284375
transcript.pyannote[2212].end 12118.44096875
transcript.pyannote[2213].speaker SPEAKER_18
transcript.pyannote[2213].start 12118.91346875
transcript.pyannote[2213].end 12124.17846875
transcript.pyannote[2214].speaker SPEAKER_19
transcript.pyannote[2214].start 12124.17846875
transcript.pyannote[2214].end 12136.32846875
transcript.pyannote[2215].speaker SPEAKER_19
transcript.pyannote[2215].start 12136.68284375
transcript.pyannote[2215].end 12140.58096875
transcript.pyannote[2216].speaker SPEAKER_19
transcript.pyannote[2216].start 12141.25596875
transcript.pyannote[2216].end 12154.65471875
transcript.pyannote[2217].speaker SPEAKER_16
transcript.pyannote[2217].start 12152.22471875
transcript.pyannote[2217].end 12152.56221875
transcript.pyannote[2218].speaker SPEAKER_19
transcript.pyannote[2218].start 12155.12721875
transcript.pyannote[2218].end 12156.32534375
transcript.pyannote[2219].speaker SPEAKER_16
transcript.pyannote[2219].start 12155.16096875
transcript.pyannote[2219].end 12155.73471875
transcript.pyannote[2220].speaker SPEAKER_16
transcript.pyannote[2220].start 12155.76846875
transcript.pyannote[2220].end 12155.98784375
transcript.pyannote[2221].speaker SPEAKER_19
transcript.pyannote[2221].start 12156.83159375
transcript.pyannote[2221].end 12162.90659375
transcript.pyannote[2222].speaker SPEAKER_19
transcript.pyannote[2222].start 12163.32846875
transcript.pyannote[2222].end 12163.80096875
transcript.pyannote[2223].speaker SPEAKER_19
transcript.pyannote[2223].start 12164.37471875
transcript.pyannote[2223].end 12165.04971875
transcript.pyannote[2224].speaker SPEAKER_19
transcript.pyannote[2224].start 12165.43784375
transcript.pyannote[2224].end 12166.73721875
transcript.pyannote[2225].speaker SPEAKER_19
transcript.pyannote[2225].start 12167.12534375
transcript.pyannote[2225].end 12181.60409375
transcript.pyannote[2226].speaker SPEAKER_07
transcript.pyannote[2226].start 12183.19034375
transcript.pyannote[2226].end 12198.34409375
transcript.pyannote[2227].speaker SPEAKER_07
transcript.pyannote[2227].start 12198.68159375
transcript.pyannote[2227].end 12203.28846875
transcript.pyannote[2228].speaker SPEAKER_19
transcript.pyannote[2228].start 12203.10284375
transcript.pyannote[2228].end 12204.67221875
transcript.pyannote[2229].speaker SPEAKER_07
transcript.pyannote[2229].start 12203.33909375
transcript.pyannote[2229].end 12204.43596875
transcript.pyannote[2230].speaker SPEAKER_19
transcript.pyannote[2230].start 12205.26284375
transcript.pyannote[2230].end 12207.45659375
transcript.pyannote[2231].speaker SPEAKER_07
transcript.pyannote[2231].start 12208.09784375
transcript.pyannote[2231].end 12209.56596875
transcript.pyannote[2232].speaker SPEAKER_18
transcript.pyannote[2232].start 12210.05534375
transcript.pyannote[2232].end 12210.52784375
transcript.pyannote[2233].speaker SPEAKER_18
transcript.pyannote[2233].start 12210.66284375
transcript.pyannote[2233].end 12215.84346875
transcript.pyannote[2234].speaker SPEAKER_18
transcript.pyannote[2234].start 12215.96159375
transcript.pyannote[2234].end 12218.54346875
transcript.pyannote[2235].speaker SPEAKER_19
transcript.pyannote[2235].start 12218.47596875
transcript.pyannote[2235].end 12221.19284375
transcript.pyannote[2236].speaker SPEAKER_18
transcript.pyannote[2236].start 12219.40409375
transcript.pyannote[2236].end 12219.64034375
transcript.pyannote[2237].speaker SPEAKER_18
transcript.pyannote[2237].start 12221.19284375
transcript.pyannote[2237].end 12222.86346875
transcript.pyannote[2238].speaker SPEAKER_19
transcript.pyannote[2238].start 12221.20971875
transcript.pyannote[2238].end 12221.90159375
transcript.pyannote[2239].speaker SPEAKER_18
transcript.pyannote[2239].start 12222.96471875
transcript.pyannote[2239].end 12224.09534375
transcript.pyannote[2240].speaker SPEAKER_07
transcript.pyannote[2240].start 12224.34846875
transcript.pyannote[2240].end 12238.40534375
transcript.pyannote[2241].speaker SPEAKER_19
transcript.pyannote[2241].start 12237.44346875
transcript.pyannote[2241].end 12244.07534375
transcript.pyannote[2242].speaker SPEAKER_19
transcript.pyannote[2242].start 12244.34534375
transcript.pyannote[2242].end 12253.23846875
transcript.pyannote[2243].speaker SPEAKER_19
transcript.pyannote[2243].start 12253.37346875
transcript.pyannote[2243].end 12273.64034375
transcript.pyannote[2244].speaker SPEAKER_07
transcript.pyannote[2244].start 12274.48409375
transcript.pyannote[2244].end 12275.54721875
transcript.pyannote[2245].speaker SPEAKER_19
transcript.pyannote[2245].start 12274.60221875
transcript.pyannote[2245].end 12275.14221875
transcript.pyannote[2246].speaker SPEAKER_19
transcript.pyannote[2246].start 12275.78346875
transcript.pyannote[2246].end 12278.66909375
transcript.pyannote[2247].speaker SPEAKER_19
transcript.pyannote[2247].start 12278.80409375
transcript.pyannote[2247].end 12280.23846875
transcript.pyannote[2248].speaker SPEAKER_19
transcript.pyannote[2248].start 12280.72784375
transcript.pyannote[2248].end 12283.93409375
transcript.pyannote[2249].speaker SPEAKER_19
transcript.pyannote[2249].start 12284.22096875
transcript.pyannote[2249].end 12285.01409375
transcript.pyannote[2250].speaker SPEAKER_07
transcript.pyannote[2250].start 12285.01409375
transcript.pyannote[2250].end 12290.02596875
transcript.pyannote[2251].speaker SPEAKER_07
transcript.pyannote[2251].start 12290.34659375
transcript.pyannote[2251].end 12297.09659375
transcript.pyannote[2252].speaker SPEAKER_19
transcript.pyannote[2252].start 12297.61971875
transcript.pyannote[2252].end 12299.29034375
transcript.pyannote[2253].speaker SPEAKER_07
transcript.pyannote[2253].start 12298.95284375
transcript.pyannote[2253].end 12302.76659375
transcript.pyannote[2254].speaker SPEAKER_07
transcript.pyannote[2254].start 12303.42471875
transcript.pyannote[2254].end 12309.14534375
transcript.pyannote[2255].speaker SPEAKER_07
transcript.pyannote[2255].start 12309.56721875
transcript.pyannote[2255].end 12312.70596875
transcript.pyannote[2256].speaker SPEAKER_19
transcript.pyannote[2256].start 12312.70596875
transcript.pyannote[2256].end 12313.56659375
transcript.pyannote[2257].speaker SPEAKER_07
transcript.pyannote[2257].start 12312.90846875
transcript.pyannote[2257].end 12313.04346875
transcript.pyannote[2258].speaker SPEAKER_07
transcript.pyannote[2258].start 12313.14471875
transcript.pyannote[2258].end 12314.89971875
transcript.pyannote[2259].speaker SPEAKER_19
transcript.pyannote[2259].start 12315.43971875
transcript.pyannote[2259].end 12322.03784375
transcript.pyannote[2260].speaker SPEAKER_19
transcript.pyannote[2260].start 12322.18971875
transcript.pyannote[2260].end 12327.37034375
transcript.pyannote[2261].speaker SPEAKER_19
transcript.pyannote[2261].start 12328.34909375
transcript.pyannote[2261].end 12328.66971875
transcript.pyannote[2262].speaker SPEAKER_07
transcript.pyannote[2262].start 12329.47971875
transcript.pyannote[2262].end 12337.69784375
transcript.pyannote[2263].speaker SPEAKER_07
transcript.pyannote[2263].start 12338.25471875
transcript.pyannote[2263].end 12338.52471875
transcript.pyannote[2264].speaker SPEAKER_07
transcript.pyannote[2264].start 12339.01409375
transcript.pyannote[2264].end 12340.22909375
transcript.pyannote[2265].speaker SPEAKER_07
transcript.pyannote[2265].start 12341.29221875
transcript.pyannote[2265].end 12359.56784375
transcript.pyannote[2266].speaker SPEAKER_07
transcript.pyannote[2266].start 12360.85034375
transcript.pyannote[2266].end 12362.65596875
transcript.pyannote[2267].speaker SPEAKER_19
transcript.pyannote[2267].start 12362.03159375
transcript.pyannote[2267].end 12369.67596875
transcript.pyannote[2268].speaker SPEAKER_07
transcript.pyannote[2268].start 12370.67159375
transcript.pyannote[2268].end 12372.88221875
transcript.pyannote[2269].speaker SPEAKER_19
transcript.pyannote[2269].start 12371.80221875
transcript.pyannote[2269].end 12376.69596875
transcript.pyannote[2270].speaker SPEAKER_19
transcript.pyannote[2270].start 12376.76346875
transcript.pyannote[2270].end 12376.83096875
transcript.pyannote[2271].speaker SPEAKER_07
transcript.pyannote[2271].start 12376.83096875
transcript.pyannote[2271].end 12376.93221875
transcript.pyannote[2272].speaker SPEAKER_19
transcript.pyannote[2272].start 12376.93221875
transcript.pyannote[2272].end 12376.96596875
transcript.pyannote[2273].speaker SPEAKER_07
transcript.pyannote[2273].start 12376.96596875
transcript.pyannote[2273].end 12378.92346875
transcript.pyannote[2274].speaker SPEAKER_19
transcript.pyannote[2274].start 12377.23596875
transcript.pyannote[2274].end 12378.60284375
transcript.pyannote[2275].speaker SPEAKER_10
transcript.pyannote[2275].start 12381.69096875
transcript.pyannote[2275].end 12383.36159375
transcript.pyannote[2276].speaker SPEAKER_10
transcript.pyannote[2276].start 12384.15471875
transcript.pyannote[2276].end 12385.09971875
transcript.pyannote[2277].speaker SPEAKER_10
transcript.pyannote[2277].start 12385.75784375
transcript.pyannote[2277].end 12387.66471875
transcript.pyannote[2278].speaker SPEAKER_23
transcript.pyannote[2278].start 12399.42659375
transcript.pyannote[2278].end 12400.32096875
transcript.pyannote[2279].speaker SPEAKER_23
transcript.pyannote[2279].start 12400.82721875
transcript.pyannote[2279].end 12404.28659375
transcript.pyannote[2280].speaker SPEAKER_10
transcript.pyannote[2280].start 12404.92784375
transcript.pyannote[2280].end 12404.94471875
transcript.pyannote[2281].speaker SPEAKER_23
transcript.pyannote[2281].start 12404.94471875
transcript.pyannote[2281].end 12404.97846875
transcript.pyannote[2282].speaker SPEAKER_10
transcript.pyannote[2282].start 12404.97846875
transcript.pyannote[2282].end 12405.06284375
transcript.pyannote[2283].speaker SPEAKER_23
transcript.pyannote[2283].start 12405.06284375
transcript.pyannote[2283].end 12405.18096875
transcript.pyannote[2284].speaker SPEAKER_10
transcript.pyannote[2284].start 12405.18096875
transcript.pyannote[2284].end 12405.26534375
transcript.pyannote[2285].speaker SPEAKER_23
transcript.pyannote[2285].start 12405.26534375
transcript.pyannote[2285].end 12405.29909375
transcript.pyannote[2286].speaker SPEAKER_10
transcript.pyannote[2286].start 12405.29909375
transcript.pyannote[2286].end 12405.36659375
transcript.pyannote[2287].speaker SPEAKER_23
transcript.pyannote[2287].start 12405.36659375
transcript.pyannote[2287].end 12405.38346875
transcript.pyannote[2288].speaker SPEAKER_10
transcript.pyannote[2288].start 12405.38346875
transcript.pyannote[2288].end 12405.50159375
transcript.pyannote[2289].speaker SPEAKER_23
transcript.pyannote[2289].start 12405.50159375
transcript.pyannote[2289].end 12405.61971875
transcript.pyannote[2290].speaker SPEAKER_10
transcript.pyannote[2290].start 12405.61971875
transcript.pyannote[2290].end 12406.59846875
transcript.pyannote[2291].speaker SPEAKER_23
transcript.pyannote[2291].start 12410.31096875
transcript.pyannote[2291].end 12411.07034375
transcript.pyannote[2292].speaker SPEAKER_23
transcript.pyannote[2292].start 12411.08721875
transcript.pyannote[2292].end 12414.63096875
transcript.pyannote[2293].speaker SPEAKER_23
transcript.pyannote[2293].start 12415.00221875
transcript.pyannote[2293].end 12423.69284375
transcript.pyannote[2294].speaker SPEAKER_07
transcript.pyannote[2294].start 12425.80221875
transcript.pyannote[2294].end 12426.27471875
transcript.pyannote[2295].speaker SPEAKER_07
transcript.pyannote[2295].start 12426.94971875
transcript.pyannote[2295].end 12428.41784375
transcript.pyannote[2296].speaker SPEAKER_23
transcript.pyannote[2296].start 12428.51909375
transcript.pyannote[2296].end 12432.01221875
transcript.pyannote[2297].speaker SPEAKER_18
transcript.pyannote[2297].start 12432.24846875
transcript.pyannote[2297].end 12440.29784375
transcript.pyannote[2298].speaker SPEAKER_18
transcript.pyannote[2298].start 12440.66909375
transcript.pyannote[2298].end 12447.94221875
transcript.pyannote[2299].speaker SPEAKER_18
transcript.pyannote[2299].start 12448.34721875
transcript.pyannote[2299].end 12457.61159375
transcript.pyannote[2300].speaker SPEAKER_23
transcript.pyannote[2300].start 12457.24034375
transcript.pyannote[2300].end 12462.42096875
transcript.pyannote[2301].speaker SPEAKER_07
transcript.pyannote[2301].start 12463.48409375
transcript.pyannote[2301].end 12464.73284375
transcript.pyannote[2302].speaker SPEAKER_07
transcript.pyannote[2302].start 12464.98596875
transcript.pyannote[2302].end 12472.88346875
transcript.pyannote[2303].speaker SPEAKER_23
transcript.pyannote[2303].start 12473.00159375
transcript.pyannote[2303].end 12559.43534375
transcript.pyannote[2304].speaker SPEAKER_07
transcript.pyannote[2304].start 12560.93721875
transcript.pyannote[2304].end 12565.93221875
transcript.pyannote[2305].speaker SPEAKER_07
transcript.pyannote[2305].start 12566.18534375
transcript.pyannote[2305].end 12570.26909375
transcript.pyannote[2306].speaker SPEAKER_07
transcript.pyannote[2306].start 12570.65721875
transcript.pyannote[2306].end 12573.54284375
transcript.pyannote[2307].speaker SPEAKER_07
transcript.pyannote[2307].start 12573.94784375
transcript.pyannote[2307].end 12580.90034375
transcript.pyannote[2308].speaker SPEAKER_23
transcript.pyannote[2308].start 12581.74409375
transcript.pyannote[2308].end 12589.67534375
transcript.pyannote[2309].speaker SPEAKER_23
transcript.pyannote[2309].start 12591.04221875
transcript.pyannote[2309].end 12593.13471875
transcript.pyannote[2310].speaker SPEAKER_23
transcript.pyannote[2310].start 12593.70846875
transcript.pyannote[2310].end 12608.92971875
transcript.pyannote[2311].speaker SPEAKER_07
transcript.pyannote[2311].start 12610.34721875
transcript.pyannote[2311].end 12612.27096875
transcript.pyannote[2312].speaker SPEAKER_23
transcript.pyannote[2312].start 12611.96721875
transcript.pyannote[2312].end 12613.75596875
transcript.pyannote[2313].speaker SPEAKER_07
transcript.pyannote[2313].start 12613.97534375
transcript.pyannote[2313].end 12619.64534375
transcript.pyannote[2314].speaker SPEAKER_07
transcript.pyannote[2314].start 12620.20221875
transcript.pyannote[2314].end 12625.51784375
transcript.pyannote[2315].speaker SPEAKER_23
transcript.pyannote[2315].start 12624.37034375
transcript.pyannote[2315].end 12624.87659375
transcript.pyannote[2316].speaker SPEAKER_23
transcript.pyannote[2316].start 12625.51784375
transcript.pyannote[2316].end 12625.56846875
transcript.pyannote[2317].speaker SPEAKER_23
transcript.pyannote[2317].start 12625.60221875
transcript.pyannote[2317].end 12625.61909375
transcript.pyannote[2318].speaker SPEAKER_23
transcript.pyannote[2318].start 12625.66971875
transcript.pyannote[2318].end 12628.55534375
transcript.pyannote[2319].speaker SPEAKER_07
transcript.pyannote[2319].start 12629.68596875
transcript.pyannote[2319].end 12636.31784375
transcript.pyannote[2320].speaker SPEAKER_07
transcript.pyannote[2320].start 12636.85784375
transcript.pyannote[2320].end 12639.50721875
transcript.pyannote[2321].speaker SPEAKER_07
transcript.pyannote[2321].start 12640.35096875
transcript.pyannote[2321].end 12642.71346875
transcript.pyannote[2322].speaker SPEAKER_23
transcript.pyannote[2322].start 12640.38471875
transcript.pyannote[2322].end 12641.44784375
transcript.pyannote[2323].speaker SPEAKER_23
transcript.pyannote[2323].start 12641.73471875
transcript.pyannote[2323].end 12647.82659375
transcript.pyannote[2324].speaker SPEAKER_07
transcript.pyannote[2324].start 12648.16409375
transcript.pyannote[2324].end 12649.31159375
transcript.pyannote[2325].speaker SPEAKER_23
transcript.pyannote[2325].start 12649.46346875
transcript.pyannote[2325].end 12674.59034375
transcript.pyannote[2326].speaker SPEAKER_07
transcript.pyannote[2326].start 12650.50971875
transcript.pyannote[2326].end 12650.93159375
transcript.pyannote[2327].speaker SPEAKER_23
transcript.pyannote[2327].start 12674.99534375
transcript.pyannote[2327].end 12686.18346875
transcript.pyannote[2328].speaker SPEAKER_03
transcript.pyannote[2328].start 12686.28471875
transcript.pyannote[2328].end 12687.02721875
transcript.pyannote[2329].speaker SPEAKER_23
transcript.pyannote[2329].start 12687.78659375
transcript.pyannote[2329].end 12691.07721875
transcript.pyannote[2330].speaker SPEAKER_03
transcript.pyannote[2330].start 12692.02221875
transcript.pyannote[2330].end 12699.44721875
transcript.pyannote[2331].speaker SPEAKER_03
transcript.pyannote[2331].start 12700.05471875
transcript.pyannote[2331].end 12711.56346875
transcript.pyannote[2332].speaker SPEAKER_03
transcript.pyannote[2332].start 12712.23846875
transcript.pyannote[2332].end 12719.76471875
transcript.pyannote[2333].speaker SPEAKER_23
transcript.pyannote[2333].start 12719.69721875
transcript.pyannote[2333].end 12728.03346875
transcript.pyannote[2334].speaker SPEAKER_03
transcript.pyannote[2334].start 12727.18971875
transcript.pyannote[2334].end 12727.35846875
transcript.pyannote[2335].speaker SPEAKER_03
transcript.pyannote[2335].start 12727.37534375
transcript.pyannote[2335].end 12727.40909375
transcript.pyannote[2336].speaker SPEAKER_03
transcript.pyannote[2336].start 12728.30346875
transcript.pyannote[2336].end 12730.48034375
transcript.pyannote[2337].speaker SPEAKER_23
transcript.pyannote[2337].start 12731.12159375
transcript.pyannote[2337].end 12744.60471875
transcript.pyannote[2338].speaker SPEAKER_03
transcript.pyannote[2338].start 12744.85784375
transcript.pyannote[2338].end 12745.70159375
transcript.pyannote[2339].speaker SPEAKER_03
transcript.pyannote[2339].start 12746.35971875
transcript.pyannote[2339].end 12750.84846875
transcript.pyannote[2340].speaker SPEAKER_23
transcript.pyannote[2340].start 12748.97534375
transcript.pyannote[2340].end 12750.96659375
transcript.pyannote[2341].speaker SPEAKER_03
transcript.pyannote[2341].start 12750.96659375
transcript.pyannote[2341].end 12754.93221875
transcript.pyannote[2342].speaker SPEAKER_23
transcript.pyannote[2342].start 12754.94909375
transcript.pyannote[2342].end 12785.22284375
transcript.pyannote[2343].speaker SPEAKER_23
transcript.pyannote[2343].start 12785.56034375
transcript.pyannote[2343].end 12824.59221875
transcript.pyannote[2344].speaker SPEAKER_00
transcript.pyannote[2344].start 12822.02721875
transcript.pyannote[2344].end 12822.39846875
transcript.pyannote[2345].speaker SPEAKER_00
transcript.pyannote[2345].start 12823.41096875
transcript.pyannote[2345].end 12823.63034375
transcript.pyannote[2346].speaker SPEAKER_16
transcript.pyannote[2346].start 12823.63034375
transcript.pyannote[2346].end 12823.64721875
transcript.pyannote[2347].speaker SPEAKER_00
transcript.pyannote[2347].start 12823.64721875
transcript.pyannote[2347].end 12823.74846875
transcript.pyannote[2348].speaker SPEAKER_23
transcript.pyannote[2348].start 12824.89596875
transcript.pyannote[2348].end 12832.50659375
transcript.pyannote[2349].speaker SPEAKER_03
transcript.pyannote[2349].start 12833.16471875
transcript.pyannote[2349].end 12840.69096875
transcript.pyannote[2350].speaker SPEAKER_03
transcript.pyannote[2350].start 12841.09596875
transcript.pyannote[2350].end 12847.45784375
transcript.pyannote[2351].speaker SPEAKER_16
transcript.pyannote[2351].start 12841.83846875
transcript.pyannote[2351].end 12843.79596875
transcript.pyannote[2352].speaker SPEAKER_16
transcript.pyannote[2352].start 12847.45784375
transcript.pyannote[2352].end 12847.69409375
transcript.pyannote[2353].speaker SPEAKER_03
transcript.pyannote[2353].start 12847.69409375
transcript.pyannote[2353].end 12854.83221875
transcript.pyannote[2354].speaker SPEAKER_23
transcript.pyannote[2354].start 12854.83221875
transcript.pyannote[2354].end 12905.59221875
transcript.pyannote[2355].speaker SPEAKER_10
transcript.pyannote[2355].start 12907.95471875
transcript.pyannote[2355].end 12912.51096875
transcript.pyannote[2356].speaker SPEAKER_13
transcript.pyannote[2356].start 12929.58846875
transcript.pyannote[2356].end 12931.61346875
transcript.pyannote[2357].speaker SPEAKER_10
transcript.pyannote[2357].start 12932.13659375
transcript.pyannote[2357].end 12933.53721875
transcript.pyannote[2358].speaker SPEAKER_16
transcript.pyannote[2358].start 12941.16471875
transcript.pyannote[2358].end 12941.18159375
transcript.pyannote[2359].speaker SPEAKER_13
transcript.pyannote[2359].start 12941.18159375
transcript.pyannote[2359].end 12948.77534375
transcript.pyannote[2360].speaker SPEAKER_16
transcript.pyannote[2360].start 12941.19846875
transcript.pyannote[2360].end 12941.97471875
transcript.pyannote[2361].speaker SPEAKER_03
transcript.pyannote[2361].start 12941.97471875
transcript.pyannote[2361].end 12942.12659375
transcript.pyannote[2362].speaker SPEAKER_13
transcript.pyannote[2362].start 12949.58534375
transcript.pyannote[2362].end 12957.85409375
transcript.pyannote[2363].speaker SPEAKER_17
transcript.pyannote[2363].start 12952.11659375
transcript.pyannote[2363].end 12952.43721875
transcript.pyannote[2364].speaker SPEAKER_13
transcript.pyannote[2364].start 12958.27596875
transcript.pyannote[2364].end 12959.59221875
transcript.pyannote[2365].speaker SPEAKER_00
transcript.pyannote[2365].start 12958.34346875
transcript.pyannote[2365].end 12958.74846875
transcript.pyannote[2366].speaker SPEAKER_13
transcript.pyannote[2366].start 12959.99721875
transcript.pyannote[2366].end 12968.36721875
transcript.pyannote[2367].speaker SPEAKER_03
transcript.pyannote[2367].start 12968.51909375
transcript.pyannote[2367].end 12971.74221875
transcript.pyannote[2368].speaker SPEAKER_03
transcript.pyannote[2368].start 12971.89409375
transcript.pyannote[2368].end 12971.92784375
transcript.pyannote[2369].speaker SPEAKER_16
transcript.pyannote[2369].start 12971.92784375
transcript.pyannote[2369].end 12971.96159375
transcript.pyannote[2370].speaker SPEAKER_03
transcript.pyannote[2370].start 12971.96159375
transcript.pyannote[2370].end 12975.47159375
transcript.pyannote[2371].speaker SPEAKER_16
transcript.pyannote[2371].start 12972.01221875
transcript.pyannote[2371].end 12972.24846875
transcript.pyannote[2372].speaker SPEAKER_03
transcript.pyannote[2372].start 12975.62346875
transcript.pyannote[2372].end 12977.85096875
transcript.pyannote[2373].speaker SPEAKER_16
transcript.pyannote[2373].start 12975.67409375
transcript.pyannote[2373].end 12976.02846875
transcript.pyannote[2374].speaker SPEAKER_03
transcript.pyannote[2374].start 12977.93534375
transcript.pyannote[2374].end 12977.95221875
transcript.pyannote[2375].speaker SPEAKER_16
transcript.pyannote[2375].start 12977.95221875
transcript.pyannote[2375].end 12978.03659375
transcript.pyannote[2376].speaker SPEAKER_03
transcript.pyannote[2376].start 12978.03659375
transcript.pyannote[2376].end 12982.49159375
transcript.pyannote[2377].speaker SPEAKER_16
transcript.pyannote[2377].start 12978.07034375
transcript.pyannote[2377].end 12978.27284375
transcript.pyannote[2378].speaker SPEAKER_03
transcript.pyannote[2378].start 12982.50846875
transcript.pyannote[2378].end 12989.32596875
transcript.pyannote[2379].speaker SPEAKER_16
transcript.pyannote[2379].start 12982.59284375
transcript.pyannote[2379].end 12982.84596875
transcript.pyannote[2380].speaker SPEAKER_13
transcript.pyannote[2380].start 12982.84596875
transcript.pyannote[2380].end 12983.31846875
transcript.pyannote[2381].speaker SPEAKER_13
transcript.pyannote[2381].start 12987.26721875
transcript.pyannote[2381].end 12988.14471875
transcript.pyannote[2382].speaker SPEAKER_03
transcript.pyannote[2382].start 12991.01346875
transcript.pyannote[2382].end 12993.61221875
transcript.pyannote[2383].speaker SPEAKER_13
transcript.pyannote[2383].start 12992.97096875
transcript.pyannote[2383].end 12996.09284375
transcript.pyannote[2384].speaker SPEAKER_03
transcript.pyannote[2384].start 12993.84846875
transcript.pyannote[2384].end 12995.26596875
transcript.pyannote[2385].speaker SPEAKER_03
transcript.pyannote[2385].start 12996.34596875
transcript.pyannote[2385].end 13000.42971875
transcript.pyannote[2386].speaker SPEAKER_13
transcript.pyannote[2386].start 12997.44284375
transcript.pyannote[2386].end 13002.72471875
transcript.pyannote[2387].speaker SPEAKER_16
transcript.pyannote[2387].start 13002.65721875
transcript.pyannote[2387].end 13002.67409375
transcript.pyannote[2388].speaker SPEAKER_16
transcript.pyannote[2388].start 13002.72471875
transcript.pyannote[2388].end 13002.79221875
transcript.pyannote[2389].speaker SPEAKER_13
transcript.pyannote[2389].start 13002.79221875
transcript.pyannote[2389].end 13025.75909375
transcript.pyannote[2390].speaker SPEAKER_16
transcript.pyannote[2390].start 13002.80909375
transcript.pyannote[2390].end 13002.91034375
transcript.pyannote[2391].speaker SPEAKER_15
transcript.pyannote[2391].start 13009.72784375
transcript.pyannote[2391].end 13009.77846875
transcript.pyannote[2392].speaker SPEAKER_16
transcript.pyannote[2392].start 13009.77846875
transcript.pyannote[2392].end 13010.08221875
transcript.pyannote[2393].speaker SPEAKER_15
transcript.pyannote[2393].start 13010.08221875
transcript.pyannote[2393].end 13010.23409375
transcript.pyannote[2394].speaker SPEAKER_13
transcript.pyannote[2394].start 13025.87721875
transcript.pyannote[2394].end 13028.71221875
transcript.pyannote[2395].speaker SPEAKER_16
transcript.pyannote[2395].start 13028.71221875
transcript.pyannote[2395].end 13028.89784375
transcript.pyannote[2396].speaker SPEAKER_13
transcript.pyannote[2396].start 13028.79659375
transcript.pyannote[2396].end 13032.98159375
transcript.pyannote[2397].speaker SPEAKER_13
transcript.pyannote[2397].start 13033.13346875
transcript.pyannote[2397].end 13034.36534375
transcript.pyannote[2398].speaker SPEAKER_13
transcript.pyannote[2398].start 13035.02346875
transcript.pyannote[2398].end 13036.08659375
transcript.pyannote[2399].speaker SPEAKER_03
transcript.pyannote[2399].start 13035.52971875
transcript.pyannote[2399].end 13038.83721875
transcript.pyannote[2400].speaker SPEAKER_13
transcript.pyannote[2400].start 13036.87971875
transcript.pyannote[2400].end 13037.30159375
transcript.pyannote[2401].speaker SPEAKER_13
transcript.pyannote[2401].start 13037.90909375
transcript.pyannote[2401].end 13046.34659375
transcript.pyannote[2402].speaker SPEAKER_03
transcript.pyannote[2402].start 13040.67659375
transcript.pyannote[2402].end 13041.62159375
transcript.pyannote[2403].speaker SPEAKER_03
transcript.pyannote[2403].start 13041.77346875
transcript.pyannote[2403].end 13041.79034375
transcript.pyannote[2404].speaker SPEAKER_03
transcript.pyannote[2404].start 13043.88284375
transcript.pyannote[2404].end 13044.32159375
transcript.pyannote[2405].speaker SPEAKER_03
transcript.pyannote[2405].start 13046.34659375
transcript.pyannote[2405].end 13051.34159375
transcript.pyannote[2406].speaker SPEAKER_03
transcript.pyannote[2406].start 13051.71284375
transcript.pyannote[2406].end 13055.64471875
transcript.pyannote[2407].speaker SPEAKER_13
transcript.pyannote[2407].start 13055.64471875
transcript.pyannote[2407].end 13058.34471875
transcript.pyannote[2408].speaker SPEAKER_03
transcript.pyannote[2408].start 13056.38721875
transcript.pyannote[2408].end 13057.02846875
transcript.pyannote[2409].speaker SPEAKER_03
transcript.pyannote[2409].start 13057.51784375
transcript.pyannote[2409].end 13065.12846875
transcript.pyannote[2410].speaker SPEAKER_03
transcript.pyannote[2410].start 13065.24659375
transcript.pyannote[2410].end 13068.40221875
transcript.pyannote[2411].speaker SPEAKER_13
transcript.pyannote[2411].start 13068.01409375
transcript.pyannote[2411].end 13071.06846875
transcript.pyannote[2412].speaker SPEAKER_03
transcript.pyannote[2412].start 13069.00971875
transcript.pyannote[2412].end 13070.17409375
transcript.pyannote[2413].speaker SPEAKER_03
transcript.pyannote[2413].start 13071.06846875
transcript.pyannote[2413].end 13071.70971875
transcript.pyannote[2414].speaker SPEAKER_13
transcript.pyannote[2414].start 13071.20346875
transcript.pyannote[2414].end 13072.58721875
transcript.pyannote[2415].speaker SPEAKER_03
transcript.pyannote[2415].start 13072.58721875
transcript.pyannote[2415].end 13081.26096875
transcript.pyannote[2416].speaker SPEAKER_13
transcript.pyannote[2416].start 13076.89034375
transcript.pyannote[2416].end 13077.17721875
transcript.pyannote[2417].speaker SPEAKER_13
transcript.pyannote[2417].start 13080.53534375
transcript.pyannote[2417].end 13084.48409375
transcript.pyannote[2418].speaker SPEAKER_03
transcript.pyannote[2418].start 13082.47596875
transcript.pyannote[2418].end 13087.53846875
transcript.pyannote[2419].speaker SPEAKER_13
transcript.pyannote[2419].start 13086.79596875
transcript.pyannote[2419].end 13090.37346875
transcript.pyannote[2420].speaker SPEAKER_13
transcript.pyannote[2420].start 13090.59284375
transcript.pyannote[2420].end 13100.02596875
transcript.pyannote[2421].speaker SPEAKER_03
transcript.pyannote[2421].start 13093.63034375
transcript.pyannote[2421].end 13093.98471875
transcript.pyannote[2422].speaker SPEAKER_16
transcript.pyannote[2422].start 13093.98471875
transcript.pyannote[2422].end 13094.05221875
transcript.pyannote[2423].speaker SPEAKER_13
transcript.pyannote[2423].start 13100.29596875
transcript.pyannote[2423].end 13108.42971875
transcript.pyannote[2424].speaker SPEAKER_16
transcript.pyannote[2424].start 13103.65409375
transcript.pyannote[2424].end 13103.94096875
transcript.pyannote[2425].speaker SPEAKER_00
transcript.pyannote[2425].start 13103.94096875
transcript.pyannote[2425].end 13103.95784375
transcript.pyannote[2426].speaker SPEAKER_13
transcript.pyannote[2426].start 13109.05409375
transcript.pyannote[2426].end 13113.37409375
transcript.pyannote[2427].speaker SPEAKER_13
transcript.pyannote[2427].start 13113.81284375
transcript.pyannote[2427].end 13116.69846875
transcript.pyannote[2428].speaker SPEAKER_13
transcript.pyannote[2428].start 13117.67721875
transcript.pyannote[2428].end 13119.33096875
transcript.pyannote[2429].speaker SPEAKER_13
transcript.pyannote[2429].start 13119.46596875
transcript.pyannote[2429].end 13122.41909375
transcript.pyannote[2430].speaker SPEAKER_13
transcript.pyannote[2430].start 13122.89159375
transcript.pyannote[2430].end 13135.54784375
transcript.pyannote[2431].speaker SPEAKER_13
transcript.pyannote[2431].start 13135.75034375
transcript.pyannote[2431].end 13146.85409375
transcript.pyannote[2432].speaker SPEAKER_16
transcript.pyannote[2432].start 13147.17471875
transcript.pyannote[2432].end 13147.51221875
transcript.pyannote[2433].speaker SPEAKER_13
transcript.pyannote[2433].start 13147.54596875
transcript.pyannote[2433].end 13151.86596875
transcript.pyannote[2434].speaker SPEAKER_13
transcript.pyannote[2434].start 13152.10221875
transcript.pyannote[2434].end 13153.43534375
transcript.pyannote[2435].speaker SPEAKER_13
transcript.pyannote[2435].start 13154.68409375
transcript.pyannote[2435].end 13162.31159375
transcript.pyannote[2436].speaker SPEAKER_13
transcript.pyannote[2436].start 13162.83471875
transcript.pyannote[2436].end 13173.02721875
transcript.pyannote[2437].speaker SPEAKER_13
transcript.pyannote[2437].start 13173.46596875
transcript.pyannote[2437].end 13176.25034375
transcript.pyannote[2438].speaker SPEAKER_13
transcript.pyannote[2438].start 13176.60471875
transcript.pyannote[2438].end 13180.82346875
transcript.pyannote[2439].speaker SPEAKER_13
transcript.pyannote[2439].start 13181.41409375
transcript.pyannote[2439].end 13210.50659375
transcript.pyannote[2440].speaker SPEAKER_13
transcript.pyannote[2440].start 13210.84409375
transcript.pyannote[2440].end 13227.55034375
transcript.pyannote[2441].speaker SPEAKER_00
transcript.pyannote[2441].start 13215.18096875
transcript.pyannote[2441].end 13215.21471875
transcript.pyannote[2442].speaker SPEAKER_26
transcript.pyannote[2442].start 13215.21471875
transcript.pyannote[2442].end 13215.51846875
transcript.pyannote[2443].speaker SPEAKER_00
transcript.pyannote[2443].start 13215.51846875
transcript.pyannote[2443].end 13215.56909375
transcript.pyannote[2444].speaker SPEAKER_03
transcript.pyannote[2444].start 13227.55034375
transcript.pyannote[2444].end 13228.42784375
transcript.pyannote[2445].speaker SPEAKER_13
transcript.pyannote[2445].start 13228.42784375
transcript.pyannote[2445].end 13228.66409375
transcript.pyannote[2446].speaker SPEAKER_03
transcript.pyannote[2446].start 13228.66409375
transcript.pyannote[2446].end 13228.68096875
transcript.pyannote[2447].speaker SPEAKER_03
transcript.pyannote[2447].start 13229.00159375
transcript.pyannote[2447].end 13242.73784375
transcript.pyannote[2448].speaker SPEAKER_13
transcript.pyannote[2448].start 13232.64659375
transcript.pyannote[2448].end 13232.81534375
transcript.pyannote[2449].speaker SPEAKER_13
transcript.pyannote[2449].start 13240.71284375
transcript.pyannote[2449].end 13242.45096875
transcript.pyannote[2450].speaker SPEAKER_13
transcript.pyannote[2450].start 13242.48471875
transcript.pyannote[2450].end 13242.53534375
transcript.pyannote[2451].speaker SPEAKER_03
transcript.pyannote[2451].start 13243.21034375
transcript.pyannote[2451].end 13243.26096875
transcript.pyannote[2452].speaker SPEAKER_03
transcript.pyannote[2452].start 13243.27784375
transcript.pyannote[2452].end 13243.31159375
transcript.pyannote[2453].speaker SPEAKER_03
transcript.pyannote[2453].start 13243.44659375
transcript.pyannote[2453].end 13250.88846875
transcript.pyannote[2454].speaker SPEAKER_13
transcript.pyannote[2454].start 13246.09596875
transcript.pyannote[2454].end 13246.43346875
transcript.pyannote[2455].speaker SPEAKER_03
transcript.pyannote[2455].start 13251.09096875
transcript.pyannote[2455].end 13252.54221875
transcript.pyannote[2456].speaker SPEAKER_03
transcript.pyannote[2456].start 13252.91346875
transcript.pyannote[2456].end 13255.69784375
transcript.pyannote[2457].speaker SPEAKER_03
transcript.pyannote[2457].start 13255.91721875
transcript.pyannote[2457].end 13256.50784375
transcript.pyannote[2458].speaker SPEAKER_03
transcript.pyannote[2458].start 13256.52471875
transcript.pyannote[2458].end 13257.43596875
transcript.pyannote[2459].speaker SPEAKER_03
transcript.pyannote[2459].start 13257.63846875
transcript.pyannote[2459].end 13260.03471875
transcript.pyannote[2460].speaker SPEAKER_03
transcript.pyannote[2460].start 13260.49034375
transcript.pyannote[2460].end 13262.61659375
transcript.pyannote[2461].speaker SPEAKER_03
transcript.pyannote[2461].start 13262.68409375
transcript.pyannote[2461].end 13274.93534375
transcript.pyannote[2462].speaker SPEAKER_13
transcript.pyannote[2462].start 13274.93534375
transcript.pyannote[2462].end 13289.90346875
transcript.pyannote[2463].speaker SPEAKER_03
transcript.pyannote[2463].start 13275.25596875
transcript.pyannote[2463].end 13277.80409375
transcript.pyannote[2464].speaker SPEAKER_03
transcript.pyannote[2464].start 13279.18784375
transcript.pyannote[2464].end 13282.27596875
transcript.pyannote[2465].speaker SPEAKER_16
transcript.pyannote[2465].start 13289.78534375
transcript.pyannote[2465].end 13290.07221875
transcript.pyannote[2466].speaker SPEAKER_13
transcript.pyannote[2466].start 13290.07221875
transcript.pyannote[2466].end 13290.08909375
transcript.pyannote[2467].speaker SPEAKER_13
transcript.pyannote[2467].start 13290.27471875
transcript.pyannote[2467].end 13320.68346875
transcript.pyannote[2468].speaker SPEAKER_00
transcript.pyannote[2468].start 13300.02846875
transcript.pyannote[2468].end 13300.38284375
transcript.pyannote[2469].speaker SPEAKER_13
transcript.pyannote[2469].start 13321.12221875
transcript.pyannote[2469].end 13325.03721875
transcript.pyannote[2470].speaker SPEAKER_13
transcript.pyannote[2470].start 13325.57721875
transcript.pyannote[2470].end 13328.17596875
transcript.pyannote[2471].speaker SPEAKER_13
transcript.pyannote[2471].start 13328.37846875
transcript.pyannote[2471].end 13340.29221875
transcript.pyannote[2472].speaker SPEAKER_13
transcript.pyannote[2472].start 13340.81534375
transcript.pyannote[2472].end 13344.47721875
transcript.pyannote[2473].speaker SPEAKER_13
transcript.pyannote[2473].start 13345.05096875
transcript.pyannote[2473].end 13345.75971875
transcript.pyannote[2474].speaker SPEAKER_13
transcript.pyannote[2474].start 13345.96221875
transcript.pyannote[2474].end 13350.97409375
transcript.pyannote[2475].speaker SPEAKER_13
transcript.pyannote[2475].start 13351.51409375
transcript.pyannote[2475].end 13356.45846875
transcript.pyannote[2476].speaker SPEAKER_13
transcript.pyannote[2476].start 13356.81284375
transcript.pyannote[2476].end 13357.99409375
transcript.pyannote[2477].speaker SPEAKER_13
transcript.pyannote[2477].start 13358.90534375
transcript.pyannote[2477].end 13367.79846875
transcript.pyannote[2478].speaker SPEAKER_13
transcript.pyannote[2478].start 13368.20346875
transcript.pyannote[2478].end 13371.32534375
transcript.pyannote[2479].speaker SPEAKER_16
transcript.pyannote[2479].start 13371.22409375
transcript.pyannote[2479].end 13371.64596875
transcript.pyannote[2480].speaker SPEAKER_13
transcript.pyannote[2480].start 13371.46034375
transcript.pyannote[2480].end 13384.01534375
transcript.pyannote[2481].speaker SPEAKER_13
transcript.pyannote[2481].start 13384.85909375
transcript.pyannote[2481].end 13386.07409375
transcript.pyannote[2482].speaker SPEAKER_03
transcript.pyannote[2482].start 13386.07409375
transcript.pyannote[2482].end 13386.09096875
transcript.pyannote[2483].speaker SPEAKER_03
transcript.pyannote[2483].start 13386.17534375
transcript.pyannote[2483].end 13390.74846875
transcript.pyannote[2484].speaker SPEAKER_13
transcript.pyannote[2484].start 13390.29284375
transcript.pyannote[2484].end 13390.68096875
transcript.pyannote[2485].speaker SPEAKER_03
transcript.pyannote[2485].start 13391.03534375
transcript.pyannote[2485].end 13395.08534375
transcript.pyannote[2486].speaker SPEAKER_13
transcript.pyannote[2486].start 13394.52846875
transcript.pyannote[2486].end 13395.05159375
transcript.pyannote[2487].speaker SPEAKER_13
transcript.pyannote[2487].start 13395.08534375
transcript.pyannote[2487].end 13397.24534375
transcript.pyannote[2488].speaker SPEAKER_03
transcript.pyannote[2488].start 13395.91221875
transcript.pyannote[2488].end 13399.03409375
transcript.pyannote[2489].speaker SPEAKER_13
transcript.pyannote[2489].start 13398.62909375
transcript.pyannote[2489].end 13411.50471875
transcript.pyannote[2490].speaker SPEAKER_03
transcript.pyannote[2490].start 13405.17659375
transcript.pyannote[2490].end 13405.96971875
transcript.pyannote[2491].speaker SPEAKER_00
transcript.pyannote[2491].start 13405.96971875
transcript.pyannote[2491].end 13406.00346875
transcript.pyannote[2492].speaker SPEAKER_00
transcript.pyannote[2492].start 13408.36596875
transcript.pyannote[2492].end 13410.00284375
transcript.pyannote[2493].speaker SPEAKER_13
transcript.pyannote[2493].start 13411.63971875
transcript.pyannote[2493].end 13415.18346875
transcript.pyannote[2494].speaker SPEAKER_13
transcript.pyannote[2494].start 13415.43659375
transcript.pyannote[2494].end 13417.46159375
transcript.pyannote[2495].speaker SPEAKER_13
transcript.pyannote[2495].start 13418.64284375
transcript.pyannote[2495].end 13419.68909375
transcript.pyannote[2496].speaker SPEAKER_13
transcript.pyannote[2496].start 13420.33034375
transcript.pyannote[2496].end 13421.83221875
transcript.pyannote[2497].speaker SPEAKER_13
transcript.pyannote[2497].start 13421.93346875
transcript.pyannote[2497].end 13423.01346875
transcript.pyannote[2498].speaker SPEAKER_13
transcript.pyannote[2498].start 13423.38471875
transcript.pyannote[2498].end 13433.02034375
transcript.pyannote[2499].speaker SPEAKER_13
transcript.pyannote[2499].start 13433.57721875
transcript.pyannote[2499].end 13439.63534375
transcript.pyannote[2500].speaker SPEAKER_16
transcript.pyannote[2500].start 13433.62784375
transcript.pyannote[2500].end 13434.03284375
transcript.pyannote[2501].speaker SPEAKER_13
transcript.pyannote[2501].start 13440.96846875
transcript.pyannote[2501].end 13446.28409375
transcript.pyannote[2502].speaker SPEAKER_03
transcript.pyannote[2502].start 13445.65971875
transcript.pyannote[2502].end 13445.76096875
transcript.pyannote[2503].speaker SPEAKER_03
transcript.pyannote[2503].start 13445.77784375
transcript.pyannote[2503].end 13445.79471875
transcript.pyannote[2504].speaker SPEAKER_03
transcript.pyannote[2504].start 13446.14909375
transcript.pyannote[2504].end 13448.44409375
transcript.pyannote[2505].speaker SPEAKER_13
transcript.pyannote[2505].start 13447.26284375
transcript.pyannote[2505].end 13447.63409375
transcript.pyannote[2506].speaker SPEAKER_03
transcript.pyannote[2506].start 13448.95034375
transcript.pyannote[2506].end 13455.31221875
transcript.pyannote[2507].speaker SPEAKER_13
transcript.pyannote[2507].start 13454.60346875
transcript.pyannote[2507].end 13461.91034375
transcript.pyannote[2508].speaker SPEAKER_03
transcript.pyannote[2508].start 13461.74159375
transcript.pyannote[2508].end 13461.85971875
transcript.pyannote[2509].speaker SPEAKER_03
transcript.pyannote[2509].start 13461.91034375
transcript.pyannote[2509].end 13461.97784375
transcript.pyannote[2510].speaker SPEAKER_13
transcript.pyannote[2510].start 13461.97784375
transcript.pyannote[2510].end 13469.99346875
transcript.pyannote[2511].speaker SPEAKER_13
transcript.pyannote[2511].start 13472.44034375
transcript.pyannote[2511].end 13473.70596875
transcript.pyannote[2512].speaker SPEAKER_13
transcript.pyannote[2512].start 13473.92534375
transcript.pyannote[2512].end 13480.01721875
transcript.pyannote[2513].speaker SPEAKER_16
transcript.pyannote[2513].start 13478.65034375
transcript.pyannote[2513].end 13478.92034375
transcript.pyannote[2514].speaker SPEAKER_13
transcript.pyannote[2514].start 13480.67534375
transcript.pyannote[2514].end 13481.46846875
transcript.pyannote[2515].speaker SPEAKER_13
transcript.pyannote[2515].start 13481.82284375
transcript.pyannote[2515].end 13482.83534375
transcript.pyannote[2516].speaker SPEAKER_13
transcript.pyannote[2516].start 13483.10534375
transcript.pyannote[2516].end 13485.85596875
transcript.pyannote[2517].speaker SPEAKER_13
transcript.pyannote[2517].start 13486.21034375
transcript.pyannote[2517].end 13487.89784375
transcript.pyannote[2518].speaker SPEAKER_13
transcript.pyannote[2518].start 13488.37034375
transcript.pyannote[2518].end 13489.58534375
transcript.pyannote[2519].speaker SPEAKER_03
transcript.pyannote[2519].start 13489.58534375
transcript.pyannote[2519].end 13497.58409375
transcript.pyannote[2520].speaker SPEAKER_03
transcript.pyannote[2520].start 13497.76971875
transcript.pyannote[2520].end 13500.63846875
transcript.pyannote[2521].speaker SPEAKER_13
transcript.pyannote[2521].start 13498.81596875
transcript.pyannote[2521].end 13510.94909375
transcript.pyannote[2522].speaker SPEAKER_03
transcript.pyannote[2522].start 13510.94909375
transcript.pyannote[2522].end 13518.20534375
transcript.pyannote[2523].speaker SPEAKER_13
transcript.pyannote[2523].start 13517.53034375
transcript.pyannote[2523].end 13520.04471875
transcript.pyannote[2524].speaker SPEAKER_03
transcript.pyannote[2524].start 13518.93096875
transcript.pyannote[2524].end 13521.88409375
transcript.pyannote[2525].speaker SPEAKER_13
transcript.pyannote[2525].start 13520.93909375
transcript.pyannote[2525].end 13521.78284375
transcript.pyannote[2526].speaker SPEAKER_13
transcript.pyannote[2526].start 13521.88409375
transcript.pyannote[2526].end 13521.90096875
transcript.pyannote[2527].speaker SPEAKER_13
transcript.pyannote[2527].start 13522.12034375
transcript.pyannote[2527].end 13524.68534375
transcript.pyannote[2528].speaker SPEAKER_13
transcript.pyannote[2528].start 13525.59659375
transcript.pyannote[2528].end 13528.43159375
transcript.pyannote[2529].speaker SPEAKER_13
transcript.pyannote[2529].start 13529.52846875
transcript.pyannote[2529].end 13530.69284375
transcript.pyannote[2530].speaker SPEAKER_03
transcript.pyannote[2530].start 13531.28346875
transcript.pyannote[2530].end 13534.52346875
transcript.pyannote[2531].speaker SPEAKER_13
transcript.pyannote[2531].start 13532.78534375
transcript.pyannote[2531].end 13532.95409375
transcript.pyannote[2532].speaker SPEAKER_06
transcript.pyannote[2532].start 13532.95409375
transcript.pyannote[2532].end 13533.00471875
transcript.pyannote[2533].speaker SPEAKER_13
transcript.pyannote[2533].start 13533.00471875
transcript.pyannote[2533].end 13533.08909375
transcript.pyannote[2534].speaker SPEAKER_06
transcript.pyannote[2534].start 13535.28284375
transcript.pyannote[2534].end 13538.86034375
transcript.pyannote[2535].speaker SPEAKER_06
transcript.pyannote[2535].start 13538.97846875
transcript.pyannote[2535].end 13546.28534375
transcript.pyannote[2536].speaker SPEAKER_13
transcript.pyannote[2536].start 13542.38721875
transcript.pyannote[2536].end 13553.28846875
transcript.pyannote[2537].speaker SPEAKER_10
transcript.pyannote[2537].start 13546.28534375
transcript.pyannote[2537].end 13546.30221875
transcript.pyannote[2538].speaker SPEAKER_13
transcript.pyannote[2538].start 13555.12784375
transcript.pyannote[2538].end 13561.08471875
transcript.pyannote[2539].speaker SPEAKER_00
transcript.pyannote[2539].start 13557.69284375
transcript.pyannote[2539].end 13559.26221875
transcript.pyannote[2540].speaker SPEAKER_13
transcript.pyannote[2540].start 13561.21971875
transcript.pyannote[2540].end 13567.05846875
transcript.pyannote[2541].speaker SPEAKER_13
transcript.pyannote[2541].start 13567.91909375
transcript.pyannote[2541].end 13569.13409375
transcript.pyannote[2542].speaker SPEAKER_03
transcript.pyannote[2542].start 13568.03721875
transcript.pyannote[2542].end 13568.17221875
transcript.pyannote[2543].speaker SPEAKER_03
transcript.pyannote[2543].start 13569.35346875
transcript.pyannote[2543].end 13574.80409375
transcript.pyannote[2544].speaker SPEAKER_13
transcript.pyannote[2544].start 13570.12971875
transcript.pyannote[2544].end 13570.38284375
transcript.pyannote[2545].speaker SPEAKER_13
transcript.pyannote[2545].start 13574.38221875
transcript.pyannote[2545].end 13580.40659375
transcript.pyannote[2546].speaker SPEAKER_03
transcript.pyannote[2546].start 13579.27596875
transcript.pyannote[2546].end 13585.92471875
transcript.pyannote[2547].speaker SPEAKER_03
transcript.pyannote[2547].start 13586.21159375
transcript.pyannote[2547].end 13587.93284375
transcript.pyannote[2548].speaker SPEAKER_03
transcript.pyannote[2548].start 13588.28721875
transcript.pyannote[2548].end 13590.36284375
transcript.pyannote[2549].speaker SPEAKER_03
transcript.pyannote[2549].start 13591.08846875
transcript.pyannote[2549].end 13599.59346875
transcript.pyannote[2550].speaker SPEAKER_13
transcript.pyannote[2550].start 13599.22221875
transcript.pyannote[2550].end 13604.67284375
transcript.pyannote[2551].speaker SPEAKER_03
transcript.pyannote[2551].start 13605.12846875
transcript.pyannote[2551].end 13605.21284375
transcript.pyannote[2552].speaker SPEAKER_16
transcript.pyannote[2552].start 13605.21284375
transcript.pyannote[2552].end 13605.49971875
transcript.pyannote[2553].speaker SPEAKER_06
transcript.pyannote[2553].start 13605.49971875
transcript.pyannote[2553].end 13605.51659375
transcript.pyannote[2554].speaker SPEAKER_06
transcript.pyannote[2554].start 13605.63471875
transcript.pyannote[2554].end 13612.09784375
transcript.pyannote[2555].speaker SPEAKER_13
transcript.pyannote[2555].start 13610.05596875
transcript.pyannote[2555].end 13615.37159375
transcript.pyannote[2556].speaker SPEAKER_13
transcript.pyannote[2556].start 13615.70909375
transcript.pyannote[2556].end 13620.16409375
transcript.pyannote[2557].speaker SPEAKER_13
transcript.pyannote[2557].start 13620.85596875
transcript.pyannote[2557].end 13622.13846875
transcript.pyannote[2558].speaker SPEAKER_03
transcript.pyannote[2558].start 13621.02471875
transcript.pyannote[2558].end 13621.15971875
transcript.pyannote[2559].speaker SPEAKER_03
transcript.pyannote[2559].start 13622.07096875
transcript.pyannote[2559].end 13623.58971875
transcript.pyannote[2560].speaker SPEAKER_13
transcript.pyannote[2560].start 13623.20159375
transcript.pyannote[2560].end 13628.51721875
transcript.pyannote[2561].speaker SPEAKER_03
transcript.pyannote[2561].start 13626.94784375
transcript.pyannote[2561].end 13627.84221875
transcript.pyannote[2562].speaker SPEAKER_23
transcript.pyannote[2562].start 13627.84221875
transcript.pyannote[2562].end 13627.87596875
transcript.pyannote[2563].speaker SPEAKER_13
transcript.pyannote[2563].start 13628.61846875
transcript.pyannote[2563].end 13637.64659375
transcript.pyannote[2564].speaker SPEAKER_03
transcript.pyannote[2564].start 13634.98034375
transcript.pyannote[2564].end 13636.02659375
transcript.pyannote[2565].speaker SPEAKER_03
transcript.pyannote[2565].start 13637.02221875
transcript.pyannote[2565].end 13640.43096875
transcript.pyannote[2566].speaker SPEAKER_13
transcript.pyannote[2566].start 13640.43096875
transcript.pyannote[2566].end 13643.26596875
transcript.pyannote[2567].speaker SPEAKER_03
transcript.pyannote[2567].start 13642.45596875
transcript.pyannote[2567].end 13642.48971875
transcript.pyannote[2568].speaker SPEAKER_10
transcript.pyannote[2568].start 13642.48971875
transcript.pyannote[2568].end 13642.79346875
transcript.pyannote[2569].speaker SPEAKER_03
transcript.pyannote[2569].start 13642.79346875
transcript.pyannote[2569].end 13642.91159375
transcript.pyannote[2570].speaker SPEAKER_10
transcript.pyannote[2570].start 13645.45971875
transcript.pyannote[2570].end 13647.88971875
transcript.pyannote[2571].speaker SPEAKER_10
transcript.pyannote[2571].start 13650.42096875
transcript.pyannote[2571].end 13654.16721875
transcript.pyannote[2572].speaker SPEAKER_10
transcript.pyannote[2572].start 13655.11221875
transcript.pyannote[2572].end 13663.24596875
transcript.pyannote[2573].speaker SPEAKER_10
transcript.pyannote[2573].start 13664.10659375
transcript.pyannote[2573].end 13665.94596875
transcript.pyannote[2574].speaker SPEAKER_10
transcript.pyannote[2574].start 13666.33409375
transcript.pyannote[2574].end 13674.94034375
transcript.pyannote[2575].speaker SPEAKER_10
transcript.pyannote[2575].start 13675.49721875
transcript.pyannote[2575].end 13681.75784375
transcript.whisperx[0].start 1753.206
transcript.whisperx[0].end 1757.72
transcript.whisperx[0].text 出席委員已足法令人數我們現在開會我們請議事委員先宣讀上次會議事錄
transcript.whisperx[1].start 1759.758
transcript.whisperx[1].end 1787.952
transcript.whisperx[1].text 立法院第十一屆第五會期交通委員會第十次全體委員會議事錄時間中華民國一百一十五年四月三十日星期四上午九十至十二時十六分地點本院紅樓二零一會議室出席委員萬美玲等十四人列席委員鍾嘉斌等八人列席官員行政院公共工程委員會主任委員陳金德交通部部長陳士凱等主席林昭吉委員俊憲報告事項一宣讀上次會議議事錄決定議事錄確定
transcript.whisperx[2].start 1790.421
transcript.whisperx[2].end 1814.659
transcript.whisperx[2].text 二處理一百一十四年度中央政府總預算附屬單位預算關於交通部主管預算凍結案計四十七案決定個案書面報告已送達均予以備查提報院會討論事項一至十二審查一百一十五年度中央政府總預算案關於一行政院公務工程委員會單位預算二交通部單位預算三中央氣象署單位預算四觀光署及所屬單位預算
transcript.whisperx[3].start 1815.78
transcript.whisperx[3].end 1842.978
transcript.whisperx[3].text 五 運輸研究所單位預算六 公路局及所屬單位預算七 航港局單位預算八 直轄市及縣市政府一般性補助款交通部主管第一目至第四目九 台灣港務公司營業預算十 交通作業基金國道公路建設管理基金分預算十一 觀光發展基金分預算十二 航港建設基金非營業預算十三 處理一百二十四年度中央政府總預算附屬單位預算關於交通部主管預算凍結案記憶案
transcript.whisperx[4].start 1844.179
transcript.whisperx[4].end 1857.759
transcript.whisperx[4].text 本日會議由工程會主任委員 曾經的交通部部長陳士凱等報告後暨由委員萬美玲等15人提出質詢均經主任委員 曾經的部長陳士凱及相關人員分別予以答覆決議一
transcript.whisperx[5].start 1859.461
transcript.whisperx[5].end 1880.958
transcript.whisperx[5].text 報告及詢答完畢二委員洪玉祥所提書面質詢列入紀錄並刊登公報三委員於質詢中要求提供相關書面資料或未及答覆部分請公共工程委員會交通部及相關機關盡速以書面答覆四討論事項第一至第十二案均另則其進行處理委員預算提案截止收件時間
transcript.whisperx[6].start 1882.833
transcript.whisperx[6].end 1906.604
transcript.whisperx[6].text 除第九案台灣港務公司營業預算及第十二案航港建設基金非營業預算於五月二十一日下午二十前第十案國道公路建設管理基金分預算及第十一案觀光發展基金分預算於五月二十九日下午二十前外其餘均照本日開會通知單鎖定時間辦理五討論事項第十三案同意動之提報院會散會宣讀完畢
transcript.whisperx[7].start 1909.497
transcript.whisperx[7].end 1929.566
transcript.whisperx[7].text 好謝謝醫事錄我們待會再確定再處理我們現在先介紹在場委員侯孟楷委員現在介紹列席官員交通部政務次長武聖元次長交通部交通產業發展及國際事務司司長陳其華快遞處處長黃鴻文
transcript.whisperx[8].start 1936.761
transcript.whisperx[8].end 1966.158
transcript.whisperx[8].text 中華郵政股份有限公司董事長王國才董事長快遞處處長楚秀敏國家運輸安全調查委員會主任委員林信德主委主任秘書姚承安主秘林佩達執行長主計室主任孫淑信行政院主計總處公務預算處專門委員邱碧珠
transcript.whisperx[9].start 1968.277
transcript.whisperx[9].end 1982.189
transcript.whisperx[9].text 西京運算處科長李正道我們本日進行國家運輸安全調查委員會單位預算審查及中澳郵政公司營業預算審查我們先請院會林主委進行報告
transcript.whisperx[10].start 1992.025
transcript.whisperx[10].end 2016.943
transcript.whisperx[10].text 主席各位委員各位女士先生大家好今天非常榮幸列席貴委員會向主席及各位委員報告運安會115年度單位預算請各位不吝給予指導與建議請將本會以往年度施政績效114年度預算的執行情形及115年度預算編列情形及預期的施政績效檢要報告如下
transcript.whisperx[11].start 2020.894
transcript.whisperx[11].end 2047.27
transcript.whisperx[11].text 114年的施政績效第一114年原體運輸安全改善建議計有129項有效提升運輸安全保障人民的生命財產第二本會建制的運輸安全志願報告系統TSRS114年共接獲97件的志願報告發現隱患以防範未然第三
transcript.whisperx[12].start 2048.942
transcript.whisperx[12].end 2058.366
transcript.whisperx[12].text 有建議電動車自駕系統及新興硬體的快速發展本會採取具體的因應行動114年辦理5場的專題研討涵蓋電動車先進駕駛輔助系統也就是ADAS電動大課程等主題
transcript.whisperx[13].start 2067.466
transcript.whisperx[13].end 2089.143
transcript.whisperx[13].text 第一是我們114年主辦多場的國際論壇讓我國在全球運輸安全調查專業領域之舞台上能夠扮演主動積極的角色我們也辦理了2025亞太世故教堂工程技術論壇以及鐵道世故調查國際論壇並持續派員赴英美澳等國參加專業訓練引進最新的調查技術
transcript.whisperx[14].start 2096.408
transcript.whisperx[14].end 2111.938
transcript.whisperx[14].text 因為我們完成114年度各式運具的紀錄裝置的普查作業所有的解讀率都已經達到100%現在報告114年度預算的執行情形114年度稅務預算20萬元實現數266,000元執行率132.88%執行情況良好在稅數的部分
transcript.whisperx[15].start 2124.674
transcript.whisperx[15].end 2144.387
transcript.whisperx[15].text 114年度預算數兩億兩千六百一十六萬一千元實行數兩億八十五萬七千元執行率百分之八十八點八各項經費經營預算施政計畫何時致用執行情形正常現在包括一百一十五年度的預算編列情形
transcript.whisperx[16].start 2145.56
transcript.whisperx[16].end 2159.472
transcript.whisperx[16].text 在稅務部分本會115年度稅務預算編列仍然是以20萬元跟114年度是相同的主要是大樓的行動電話基地台以及停車位的租金收入在稅務部分
transcript.whisperx[17].start 2161.001
transcript.whisperx[17].end 2176.876
transcript.whisperx[17].text 一百一十五年度稅數預算編列兩億三千九百零九萬七千元較一百一十四年度的預算數增加一千兩百九十五萬六千元增幅百分之五點七十一其中包括
transcript.whisperx[18].start 2177.998
transcript.whisperx[18].end 2196.789
transcript.whisperx[18].text 一般行政編列一億八千三百一十三萬八千元較一百一十四年度預算數增加四百七十六萬四千元增幅百分之二點六七主要是編列人員的維持費以及基本行政工作維持費
transcript.whisperx[19].start 2198.749
transcript.whisperx[19].end 2207.275
transcript.whisperx[19].text 另外運輸事故的調查編列1424萬3千元較114年度的預算數增加340萬9千元增幅約31.47%主要編列的項目包括事故事實資料的蒐集分析檢測的調查報告印製等相關經費
transcript.whisperx[20].start 2226.952
transcript.whisperx[20].end 2229.179
transcript.whisperx[20].text 還有調查人員的專業教育訓練國內外相關調查組織的聯繫協調
transcript.whisperx[21].start 2235.376
transcript.whisperx[21].end 2258.783
transcript.whisperx[21].text 在運輸系統安全分析與工程建立方面編列3175,000元較114年度預算數增加558,000元增幅大約21.32%主要的編列項目包括以人為因素的分析與工程技術的支援以及志願報告系統的建置與運作還有國內外相關技術組織的聯繫協調
transcript.whisperx[22].start 2265.014
transcript.whisperx[22].end 2272.081
transcript.whisperx[22].text 在經濟運輸事故調查能量方面編列3851萬1千元較114年度預算數增加417萬5千元增幅大約12.16%主要編列項目包括研擬新型運氣事故調查的技術建立新型記錄器的解讀能量
transcript.whisperx[23].start 2286.973
transcript.whisperx[23].end 2303.373
transcript.whisperx[23].text 強化運輸事故工程失效原因分析以模擬的技術經濟運輸事故人為因素的調查能量另外一倍金跟114年度一樣是編列3萬元現在包括115年度預期的失效
transcript.whisperx[24].start 2304.724
transcript.whisperx[24].end 2326.061
transcript.whisperx[24].text 第一 藉由重大運輸事故調查 發覺事故的根源的人為技術及管理的噪音嚴提各項具體可行之運輸安全改善建議協助各機關完成分項執行計畫與預防類似事故再發生 有效提升我國的運輸安全
transcript.whisperx[25].start 2327.608
transcript.whisperx[25].end 2343.067
transcript.whisperx[25].text 二 藉由強化國際合作交流 吸取各國調查及安全觀念 制度及技術之優點因應未來新式運氣發生重大運輸事故調查作為所需面臨的挑戰三
transcript.whisperx[26].start 2344.167
transcript.whisperx[26].end 2361.145
transcript.whisperx[26].text 持續透過國內外的專業訓練以提升調查人員制事故調查技術、數據分析方法及工程鑑定技術並強化運輸安全事故趨勢分析和預防性的研究等等以進一步提升對運輸安全的預防與應對能力
transcript.whisperx[27].start 2366.192
transcript.whisperx[27].end 2390.15
transcript.whisperx[27].text 本會115年度稅數預算案的編列是配合業務實際所需以有限的資源下做最有效的分配與運用並致力提升本會的組織功能專業知識以行政效力敬請各位委員對本會預算予以支持共同為提升台灣海陸空運輸安全實際努力以上報告謝謝
transcript.whisperx[28].start 2394.346
transcript.whisperx[28].end 2399.202
transcript.whisperx[28].text 好 我們謝謝院會領事的主委那我們接下來請交通部武次長進行口頭報告
transcript.whisperx[29].start 2409.885
transcript.whisperx[29].end 2425.513
transcript.whisperx[29].text 主席各位委員各位女士先生今天應邀列席會員會就本部主管中華郵政公司115年度業務計畫還有營業預算編列提出報告進行指教郵政公司肩負
transcript.whisperx[30].start 2427.438
transcript.whisperx[30].end 2441.711
transcript.whisperx[30].text 普惠金融的任務採由除售三月合影的企業化經營模式來致力整合郵政的物流金流資訊流等功能提供民眾無差異化的一個服務
transcript.whisperx[31].start 2443.895
transcript.whisperx[31].end 2470.036
transcript.whisperx[31].text 為應應新興科技還有氣候變遷等影響公司持續發展郵政智慧物流並透過數位轉型提升郵務的效率藉由智能郵政物流延期的導入高效率倉儲理貨加工作業提升電商物流處理的效率強化數位金融完善國際行動支付服務以及提升數位保險服務的一個體驗
transcript.whisperx[32].start 2471.317
transcript.whisperx[32].end 2488.033
transcript.whisperx[32].text 推廣全零的授權擴大金融保險服務觸及範圍並提升便利性也就是公司除了努力提升服務品質創造營業利益外積極配合政府的政策
transcript.whisperx[33].start 2489.93
transcript.whisperx[33].end 2505.339
transcript.whisperx[33].text 防止金融的詐騙減少民眾的財損損失並協助農產平台建設及行銷活動善盡企業責任以及落實ESG請提供卓越還有全民信賴的
transcript.whisperx[34].start 2506.807
transcript.whisperx[34].end 2529.635
transcript.whisperx[34].text 郵政服務有關中華郵政115年的業務計畫還有編列的這個內容等一下請王董事長向各位委員提出報告以及說明敬請各位委員會議支持謝謝好謝謝五次長接下來請中華郵政公司的王董事長進行報告
transcript.whisperx[35].start 2537.982
transcript.whisperx[35].end 2559.316
transcript.whisperx[35].text 主席 各位委員 各位女士先生以下就中華郵政1.5年度的業務計畫還有包括1.4年的業務檢討做報告面對全球國際金融的嚴峻挑戰中華郵政在前提同仁共同努力下在去年稅後盡力達到101.54億元是三年來最高
transcript.whisperx[36].start 2568.202
transcript.whisperx[36].end 2591.32
transcript.whisperx[36].text 跟物流發展 我們現在在郵途收收三方面都做一些轉型郵務部分就是積極把這個信函這個減少的部分轉到包裹跟快捷的服務所以我們現在很重要的包括主動上收的服務 客戶關係的管理資訊優化 運輸網路的整合 跟郵政處理中心的協作 這是我們的重點
transcript.whisperx[37].start 2592.66
transcript.whisperx[37].end 2617.906
transcript.whisperx[37].text 儲備部分主要是數位科技、拓展多元金融服務另外就是防詛咒的機制來守護民眾財產的安全壽險部分積極推動保險的數位服務導入RPA、影像辨識及AI減核機制來改善整個網路投保的流程跟壽險的產品的品質
transcript.whisperx[38].start 2620.714
transcript.whisperx[38].end 2638.026
transcript.whisperx[38].text 那在2015年部分,在報告書有很多,我針對三點,是我們2015年最重要的部分第一個是台北郵局公辦渡耕案,那這個案子整個會在民國121年完工,變成建一個郵政塔,然後由F4進駐
transcript.whisperx[39].start 2640.007
transcript.whisperx[39].end 2654.254
transcript.whisperx[39].text 以及保留我們的這個北門這個古蹟的部分那在115年投資有4797萬元那主要是辦理基本設計都市更新事業計畫計全力變更計畫都市設計的各項審議作業以及台北郵局的出力
transcript.whisperx[40].start 2662.037
transcript.whisperx[40].end 2689.79
transcript.whisperx[40].text 臺北郵件處理中心的整修工程那目前整個關鍵的部分是在臺北市政府的審查部分那臺北市政府這邊也非常多的協助希望能夠在這個我們的行政程序能夠縮短那在藝人第二項就是郵政物流園區現在完工那今天臺北郵件今天就這個時候他們已經搬到這個我們北臺灣郵件中心就是在這個龜山的部分
transcript.whisperx[41].start 2690.31
transcript.whisperx[41].end 2696.793
transcript.whisperx[41].text 那台灣處理中心、營運中心跟台北郵局處理中心分別在4月7號、4月27號以及5月4號已經陸續完成這個搬遷
transcript.whisperx[42].start 2702.386
transcript.whisperx[42].end 2725.348
transcript.whisperx[42].text 那第三個比較重要是今年的11月20號到25號我們會辦台北2026的世界遊展那這個是10年前辦過一次那現在是第二次辦那這個也是來增加我們整個中華民國的國際知名度跟中華郵政的這個全世界的這個大家的知名
transcript.whisperx[43].start 2726.189
transcript.whisperx[43].end 2737.612
transcript.whisperx[43].text 那在115年收支的部分一估收入是1745億3008萬元比上年度的預算增加5.05%支出1684億4449萬元比上年度的預算增加4.16%所以本期的淨利是48億6847萬元
transcript.whisperx[44].start 2749.955
transcript.whisperx[44].end 2754.958
transcript.whisperx[44].text 那加計公積轉列跟損益綜合損益的轉入我們可以截繳國庫50億這個514萬元
transcript.whisperx[45].start 2759.534
transcript.whisperx[45].end 2784.843
transcript.whisperx[45].text 中華郵政現在面臨各項轉型的這個挑戰那我們現在積極的拓展郵儲業郵儲售三大本業並跟全體同仁大家一起努力在進行轉型也深化客戶的關係強化數位創新跟服務能量我們希望這個百年郵政能夠有一個更亮麗的這個另外一個100年以上報告進行指教 謝謝
transcript.whisperx[46].start 2789.589
transcript.whisperx[46].end 2809.981
transcript.whisperx[46].text 謝謝王董事長現在我開始進行尋答先宣告以下事項尋答時間初期委員6分鐘列席委員4分鐘委員發言登記於10點30分截止各位如果有提案請在10點前提出以便醫生會診我們暫定10點30分休息10分鐘現在請登記第一位洪孟楷委員發言
transcript.whisperx[47].start 2821.394
transcript.whisperx[47].end 2826.754
transcript.whisperx[47].text 好主席謝謝我先麻煩請運安會林主委跟中華郵政王董事長
transcript.whisperx[48].start 2835.714
transcript.whisperx[48].end 2861.491
transcript.whisperx[48].text 好 主委 董事長議題非常多 所以每一個我們都是直問直答主委 上一次本席就請教是說因為我國這邊 您也回答也表示我國還沒有建立所謂道路的安全審核機制導致說這個道路工程規劃設計施工有欠缺考量交通安全的因素也因此建議要儘速建立道路安全審議機制那主委也強調是說不只是針對汽車道 機車道應該也可以納入
transcript.whisperx[49].start 2866.134
transcript.whisperx[49].end 2885.711
transcript.whisperx[49].text 我們國內最重要是有1400萬輛的機車族朋友所以請教什麼時候我們會在這個運輸安全研討會這邊來做討論這個所謂的道路安全審核機制教童部有委託運輸研究所在
transcript.whisperx[50].start 2887.301
transcript.whisperx[50].end 2914.785
transcript.whisperx[50].text 他做兩年的一個研究他大概應該已經快要結案做期末報告那我們會跟運輸研究所研究說你這個RSA剛剛委員所提到如果有開研討會有說我們會派人去參加跟他宣導說這個跟運輸安全也是息息相關我想這個是可以朝這個方向來做你們派人但是跟上一次本席提出來因為其實最主要會有這樣的一個議題又被放大其實是最近我們國家很重要重大工程淡江大橋也是在本席的選區也是大家都期待
transcript.whisperx[51].start 2915.345
transcript.whisperx[51].end 2933.801
transcript.whisperx[51].text 那就是一樣上個禮拜也在交通委員會我提出來一個想法我請主委跟我們董事長也聽聽看就是說因為現在的淡江大橋是很多人覺得說這個交通機車道它是過於2.5公尺其實不到是因為它的標線你內就沒有2.5公尺
transcript.whisperx[52].start 2934.261
transcript.whisperx[52].end 2952.032
transcript.whisperx[52].text 那我也知道是說現在硬體已經好了沒有辦法去短時間沒有辦法更改這個大家都理解但是有開放媒體上橋之後有看到什麼看到是說因為吊鎖它是往內往內鎖也因此在機車道上面機車族的視線會有那個壓迫感
transcript.whisperx[53].start 2952.552
transcript.whisperx[53].end 2976.044
transcript.whisperx[53].text 所以我才提到是說那是不是既然5月12號正式通車5月9號還有一個通車典禮聽說也邀請了總統等等相關的政要都來那能不能在這之前先讓機車朋友上橋我沒有講說要讓特定哪一些你其實可以由交通部去找機車族相關譬如找100位200位模擬上下班通勤時間的那個尖峰的機車輛
transcript.whisperx[54].start 2977.205
transcript.whisperx[54].end 2989.162
transcript.whisperx[54].text 然後來去做這個限地的研究並且來做壓力測試那結果沒想到交通部長反而跟我回甚至那個影片大家網路上大家講很傲慢就講說這樣汽車道要不要那個公車道要不要
transcript.whisperx[55].start 2992.767
transcript.whisperx[55].end 3008.048
transcript.whisperx[55].text 兩個部分 第一本期的態度就是如果有做都很好因為公路局在之前就已經有讓200台的煞車上橋去做壓力測試 去做重量測試所以有做第二個部分是公車道也好 汽車道也好沒有鋼索
transcript.whisperx[56].start 3009.016
transcript.whisperx[56].end 3035.873
transcript.whisperx[56].text 只有摩托車道那邊是有鋼索所以說摩托車道才有被那個視線遮蔽啊所以來請教一下主委你覺得咧如果所以站在這個安全來講很多人講說難道敢通車所以說還要勤勒說會不會淡江大橋這樣延後但是更有一派說法是所以為了敢通車連安全都可以不顧嗎還是要等說發生事情之後我們再來做檢討用人命來換檢討
transcript.whisperx[57].start 3038.022
transcript.whisperx[57].end 3052.717
transcript.whisperx[57].text 我想運輸安全跟交通的這個順暢度應該兩者要兼顧啦是我的看法是這樣我同意啊來所以如果說真的未來發生現在我們質疑的這個機車組質疑的重大交通事故的話那誰應該負責
transcript.whisperx[58].start 3056.192
transcript.whisperx[58].end 3078.82
transcript.whisperx[58].text 所以我想委員這個議題非常好我們今年會有一個運輸資訊的安全研討會如果運營所不找我們也會主動找他因為他現在做113到114的RSA的導入計畫他已經在台北市新北市宜蘭市三處的道路在做試驗那我希望我們可以跟他一起來大家來努力協助看看怎麼樣吧
transcript.whisperx[59].start 3079.46
transcript.whisperx[59].end 3105.063
transcript.whisperx[59].text 大方向我肯定主委的想法啦但是主委你沒有針對本席的問題回答啦講實在話如果說因為道路設計不良或說有相關的瑕疵然後趕著通車然後連這種壓力車是都不願意坐的話那當然是主管機關要負全責啊來主委謝謝我就先請你回來王董事長看到你笑容滿面本席也不禁想到過去交通部長任內其實淡江大橋你有貢獻啊
transcript.whisperx[60].start 3106.297
transcript.whisperx[60].end 3131.682
transcript.whisperx[60].text 第二期的工程完工的時候當時還是您擔任交通部長蘇貞昌擔任院長所以我們還到那個6164那邊來去做一個這個完工的一個部分那是第二期工程嘛所以部長您怎麼看如果說你還是在部長的任內你會那麼傲慢嗎你會覺得是說連我們200台300台通勤的機車去模擬通勤的上下班的狀況
transcript.whisperx[61].start 3133.515
transcript.whisperx[61].end 3149.31
transcript.whisperx[61].text 來避免說真的發生問題的時候才要來手忙腳亂您的看法是怎麼樣報告委員因為我現在是中華郵政的董事長不大適合對於現行的交通的我懇請你以交通的專業
transcript.whisperx[62].start 3151.192
transcript.whisperx[62].end 3179.726
transcript.whisperx[62].text 因為您也是交通專業我記得你那個時候在交通部長的時候還別了一個運輸的那個LOGO在身上所以說我肯定您的專業我肯定你以交通的專業一個大橋通車大家都期待尤其淡水人尤其巴黎人更是期待了幾十年所以我們當然都期待但是我們要期待的是希望是一個安全無約一個橋化解民眾的疑慮讓大家開心的上橋而不是在擔憂的情況上橋
transcript.whisperx[63].start 3180.626
transcript.whisperx[63].end 3191.618
transcript.whisperx[63].text 所以以交通的專業來講是不是應該要在開通之前多化解一般民眾的疑慮在過去我講也同專業啦在過去在
transcript.whisperx[64].start 3193.496
transcript.whisperx[64].end 3215.357
transcript.whisperx[64].text 比如說公路局的設計它就是公路路線設計規範所以它的橫斷面就是在按照這個標準來做但是過去的確在鐵路或是公路通車的前後如果有一些不好的地方會做一些微調像金門大橋或是有壓力測試所以金門大橋其實也測試過不一定有壓力測試就是它做比如說標誌標線或是車道的
transcript.whisperx[65].start 3218.58
transcript.whisperx[65].end 3239.701
transcript.whisperx[65].text 這個比較危險的地方或是過去常常看到的在結構上是不是有一些地方大家餘力的做一些補強那我是覺得就相信公務局的這個團隊他這個團隊事實上非常的專業如果說因為很細節我不知道我也肯定公務局的專業但是現在是一個不專業的部長在帶領公務局所以我很擔心
transcript.whisperx[66].start 3241.014
transcript.whisperx[66].end 3267.935
transcript.whisperx[66].text 來部長不為難你了啦回過頭來中華郵政的這個預算先請教因為你剛有講到是說A7郵政智慧物流園區也是今天又搬過去正式來啟動對不對所有的同仁都過去但是我們也看到三個禮拜前有個新聞說大出包然後最主要是因為自動化的系統沒有辦法上線甚至媒體講說大件上不去小件飛出來那我們想請教一下現在這問題解決了嗎
transcript.whisperx[67].start 3269.156
transcript.whisperx[67].end 3282.995
transcript.whisperx[67].text 現在大概有兩個課題一個是自動化設備的微調現在也在做微調的確主要是自動化設備出了問題他也不算出問題他因為他有些假設是當時在設計的時候未來郵件長什麼樣子
transcript.whisperx[68].start 3285.879
transcript.whisperx[68].end 3309.759
transcript.whisperx[68].text 所以它很多是對未來郵件的這種比如說限高的這些設計但是現在我們情操上開始微調就是說事實上現在比如說包裹事實上沒有按照當時的這個未來郵件長什麼樣子來部分所以現在在調第二個是人員的SOP的部分這一部分因為它是桃園中心跟台北中心過去那第一階段是台北是桃園中心過去
transcript.whisperx[69].start 3310.68
transcript.whisperx[69].end 3334.617
transcript.whisperx[69].text 那他所處理的又很多是在台北中心這些幹部所管的範圍但是我們是覺得今天今天這個時候大概卡尔典跟台北都已經會合了我們今天本來總經理要到立法院我請他不要來就是去督導這個事我想也是為了直接就是說會不會再出現三個禮拜前那種大粗暴的狀況
transcript.whisperx[70].start 3335.658
transcript.whisperx[70].end 3361.704
transcript.whisperx[70].text 會不會 應該是不會 有沒有把握應該不會 還是可以5月現在正式上線 然後5月正式啟動現在今天已經正式啟動了然後我們會把它微調到一定的程度現在大概我們的同仁都是在現場 有找到問題點了有找到問題來處理了來 部長 那另外董事長 另外一個部分本期也看到遊牧市的安全是最重要的來我們來看一下 因為這兩天也看到這個新聞遊牧市的機車輪胎漲6變形
transcript.whisperx[71].start 3364.065
transcript.whisperx[71].end 3367.679
transcript.whisperx[71].text 你看 這個是我們的遊牧式的輪胎來 下一張
transcript.whisperx[72].start 3371.085
transcript.whisperx[72].end 3399.337
transcript.whisperx[72].text 這個說實在話我們大家都有騎機車的經驗啦所以說輪胎騎乘這樣子是不合格的啦那我也看到說中華郵政講說初步了解抱胎的原因可能包括車輛行駛前未檢查胎壓輪胎已經磨損到安全極限未及時更換欸這還是把過錯推給郵務室欸好像你的意思是說郵務室在出發前沒有檢查然後沒有檢查胎壓然後輪胎已經磨到安全底線了你還沒有換但是不是啊
transcript.whisperx[73].start 3400.177
transcript.whisperx[73].end 3423.245
transcript.whisperx[73].text 公會也好或是說一般的民眾有牧師他騎了幾十年的車他怎麼可能不了解這狀況所以有人就講是不是採購的問題到底是不是這一批輪胎有瑕疵本席現在不敢講說一定有瑕疵或沒有可是這就要中環球證去了解因為為什麼你們現在把所有的輪胎這些都是各分局他們自行採購而都是用什麼最低價標
transcript.whisperx[74].start 3424.645
transcript.whisperx[74].end 3439.89
transcript.whisperx[74].text 所以在銷價競爭的情況下會不會廠商他因為也要賺利潤所以他就提供比較次等品來我們看一下這一次的這個採購這本席在公開的資料上面找的資料你看你們的預算金額202萬
transcript.whisperx[75].start 3442.071
transcript.whisperx[75].end 3458.942
transcript.whisperx[75].text 可是底價金額是一百九十幾萬但到最後絕標的時候這家公司只用一百七十幾萬就絕標了就得標了那換言之是什麼我們一般大家公務體系也都知道廠商他可能來投票的時候都還會抓一點合理的利潤兩成到三成
transcript.whisperx[76].start 3459.764
transcript.whisperx[76].end 3486.197
transcript.whisperx[76].text 所以他變成是一百七十幾萬就可以得標那已經比你原本的預算規模都還要少了差不多十分之一然後他還有利潤那所以在這樣的情況下會不會這一批的輪胎相對來講比較瑕疵這個是大家所關注的董事長這個是我大概跟台南郵局做個討論他們大概這一批採購600個備胎他的確品質是比較差的
transcript.whisperx[77].start 3487.063
transcript.whisperx[77].end 3509.811
transcript.whisperx[77].text 那這樣子怎麼驗收得過現在這樣現在已經要求他更換了這個廠商也同意更換那最近會把已經裝上去的都把它全部更換掉不能開玩笑台南郵局一個狀況那其他各分局那還有郵務室的輪胎就如同我們之前講說警察要有防彈衣就防彈衣驗收不合格
transcript.whisperx[78].start 3510.151
transcript.whisperx[78].end 3531.839
transcript.whisperx[78].text 那就是讓警察同仁在第一線面臨到生命危險那一樣有物色輪胎如果說可以變形漲流那也不是一句輕描淡寫講說原來這批輪胎比較有瑕疵他們驗收的時候都會符合相關的規範的確應用下來這一批是比較差的現在在更換廠商也同意更換然後該不該啟動針鋒調查
transcript.whisperx[79].start 3535.356
transcript.whisperx[79].end 3554.822
transcript.whisperx[79].text 了解一下是說到底那這樣的話JP驗收的狀況有沒有瑕疵這個是內部管理董事長你的營收創高本席都樂見因為中華郵政能夠努力然後改變我們現在的物流等等相關但是最基本第一線的同仁的安全不能開玩笑也不能打折
transcript.whisperx[80].start 3555.822
transcript.whisperx[80].end 3584.702
transcript.whisperx[80].text 這個是本席所提出來他這個可能排不到正宗調整因為過去的確就是在採購備品的時候都用最低價標來處理那是不是也應該他過去是認為這是比較沒有技術水準是現在看起來他是有安全水準他們現在檢討是說未來可能會採最有利標現在我也請他們要往這方面來走好所以針對這個部分是不是能做檢討之後也讓本席了解你們後續內部的過程沒問題好不好多久可以給本席相關報告
transcript.whisperx[81].start 3585.962
transcript.whisperx[81].end 3611.834
transcript.whisperx[81].text 兩個禮拜兩個禮拜好董事長還是強調因為這個廠商是誰我也不知道所以我也沒有把這個廠商秀出來我也不確定說這個因為我也不敢講說這個廠商提供的一定有瑕疵或沒有瑕疵但是從標案數字上面我們可以看到一些蛛絲馬跡本席只要提醒既然有這樣的狀況既然有物色反應有物色的安全絕對是最優先的要務他也是我們的同仁
transcript.whisperx[82].start 3612.614
transcript.whisperx[82].end 3635.174
transcript.whisperx[82].text 每一次開工會的時候您也前往所以我想共同我們希望讓郵務室讓我們的郵差弟兄都能夠最安全的情況下來執勤這樣可以吧沒有問題好 謝謝董事長好 謝謝侯木開委員我先處理一下一四路那個各位委員對一四路有沒有意見沒有好 沒有意見接下來請李崑哲委員發言
transcript.whisperx[83].start 3646.587
transcript.whisperx[83].end 3651.458
transcript.whisperx[83].text 好 謝謝主席 請一下王國才董事長來 我們請王董事長
transcript.whisperx[84].start 3661.822
transcript.whisperx[84].end 3673.19
transcript.whisperx[84].text 王董事長好首先我們來看這幾年郵政公司相關的歷年稅後的盈虧的一個狀況2023年我們的稅後虧損達到16億元後來有經過努力跟改善到2025年整個稅後淨利
transcript.whisperx[85].start 3683.838
transcript.whisperx[85].end 3708.81
transcript.whisperx[85].text 突破了101億元那當然在轉虧為盈郵政公司的努力是應該要值得肯定但是我們對於公司的營運比較正常之後這是所有郵政公司員工努力的一個成果但是我們對於郵政勞工的工作環境及相關的權益
transcript.whisperx[86].start 3710.755
transcript.whisperx[86].end 3738.757
transcript.whisperx[86].text 去引起我們基層郵政公司員工大家普遍都有怨言那其實我要提醒王董事長在過去我們針對非主管人員非主管人員的這種直接人員比照轉調人員的待遇案那時候你是次長也擔任部長在那段期間我們共同努力這個郵政員工都很肯定
transcript.whisperx[87].start 3739.477
transcript.whisperx[87].end 3754.168
transcript.whisperx[87].text 然後在考成的這樣的一個國安會打為一等也是部長跟我們一起努力生父之後轉為家等這個員工也肯定但是我們現在員工大家所抱怨的
transcript.whisperx[88].start 3755.66
transcript.whisperx[88].end 3778.55
transcript.whisperx[88].text 就是我們的人力不足的問題人力不足的問題我們在目前的缺額到底是多少來你簡單說明一下首先謝謝委員過去對於中華郵政我們郵政同仁的照顧包括過去很多的他們的相關環境工作環境還有他薪資待遇方面也都做了很多的一個調整
transcript.whisperx[89].start 3779.298
transcript.whisperx[89].end 3791.886
transcript.whisperx[89].text 那現在大概這樣就是說我們去年開始有一個重點就是在性的改到硬包裹跟快捷所以我們快捷在2月份大概成長20幾%3月份成長20幾%
transcript.whisperx[90].start 3795.808
transcript.whisperx[90].end 3811.419
transcript.whisperx[90].text 那在這時候剛好第一個是這一個就是說人力從寄訊到包裹他沒辦法說一對一的轉比如說性減少就把人轉過去那第二個在去年實施身心調適假黃董事長那我根據工會跟我討論的相關資料來比對我們的編制原理跟實際的原理
transcript.whisperx[91].start 3821.306
transcript.whisperx[91].end 3838.757
transcript.whisperx[91].text 有三千名人力的這樣一個缺口人力是不足啦 我說坦白我也去現場看過那另外就是我們的休假的問題啊就是因為我認為是要參照公務員我們針對啊
transcript.whisperx[92].start 3841.571
transcript.whisperx[92].end 3867.55
transcript.whisperx[92].text 郵政員工勤領休假補助的措施以及員工要請休假的相關措施我們必須要改善人力不足的問題它當然會導致休假受到排擠那要請特休是很困難另外我們對於特休展延的時間其實也不夠那另外我們也
transcript.whisperx[93].start 3869.002
transcript.whisperx[93].end 3885.674
transcript.whisperx[93].text 擠壓到要請你休假補助的這樣的一個請你這個問題來您說明一下現在大概這樣我們大概最近都在招考在趕快補現在有一個時間差時間差現在在補的確同仁非常的辛苦
transcript.whisperx[94].start 3886.354
transcript.whisperx[94].end 3901.327
transcript.whisperx[94].text 那剛才談到就是說關於請假這個他們也沒辦法休假的這些補假或是請你的規定我事實上也有請人力資源處這邊來做一些討論董事長我明確的要求我們對人力不足啊
transcript.whisperx[95].start 3902.253
transcript.whisperx[95].end 3928.125
transcript.whisperx[95].text 要補足要逐漸的補足那另外我們要調整員工的這些請你休假補助以及啊要請休假的相關的措施啊也必須要改善你什麼時候可以提出相關改善的措施董事長我要提醒你就是說我們針對員工的權利啊你要多聽工會以及基層勞工的心聲啊你要跟他們對話
transcript.whisperx[96].start 3930.851
transcript.whisperx[96].end 3957.661
transcript.whisperx[96].text 你跟他們對話你什麼時候會跟工會會跟基層員工對話然後針對人力不足的問題針對相關的勤領休假以及勤領休假補助有什麼改善措施啊你預定什麼時間會提出改善的措施來說明一下我想跟工會的溝通事實上包括理事長 分會理事長我這邊都會有溝通這個題目他們其實也已經提過了
transcript.whisperx[97].start 3959.571
transcript.whisperx[97].end 3985.148
transcript.whisperx[97].text 那我個人是覺得就是說人力就是一個合理的人力然後在這些休假補助等等也是要合理只要在一個合理範圍內這個我們這邊願意來做一些調整那這部分我也有請人力責任處長一個月內提出相關的改善措施另外我覺得我們盈利持續增加但是員工的工作環境
transcript.whisperx[98].start 3986.169
transcript.whisperx[98].end 4006.964
transcript.whisperx[98].text 沒有改善,顯現越來越惡劣,尤其現在極端氣候,夏天又要來了氣溫有時候尤其是南部,常常是高達30度以上,卻不能開空調導致在悶熱的環境中,工作或者是相關的作業的這樣一個狀況
transcript.whisperx[99].start 4009.591
transcript.whisperx[99].end 4028.793
transcript.whisperx[99].text 基層勞工的工作環境惡劣到這種狀況尤其是我們有很多的郵務中心董事長郵務中心是相關郵件貨物不管是它的分送或者是分類都是大量勞力的一個工作
transcript.whisperx[100].start 4029.834
transcript.whisperx[100].end 4044.549
transcript.whisperx[100].text 有很多儀物中心他有空調或者是有相關的通風設備卻是因為要省電費不開或者是沒有相關的這樣的一個空調空氣調節的這樣的一個措施
transcript.whisperx[101].start 4046.571
transcript.whisperx[101].end 4066.764
transcript.whisperx[101].text 這個對員工的工作環境是非常不利對他們的健康也是有很大的衝擊部長說明一下有什麼改善措施的確現在我們就是按照經濟部的這個你有去了解嗎我有去過 首爾中醫都有去過就是現在就是室溫是以不低於26度但是也夏天太熱
transcript.whisperx[102].start 4067.685
transcript.whisperx[102].end 4085.711
transcript.whisperx[102].text 那過去委員也幫忙蒸起這個服裝要能夠這個排熱等等的那現在我們大概這樣就是說在這個規定下我們在大型吊扇工業力扇還有水務的降溫這部分現在在各個的處理中心也在處理我想說這部分的確我看到有很多的
transcript.whisperx[103].start 4087.1
transcript.whisperx[103].end 4114.899
transcript.whisperx[103].text 整個區裡面還是有些區是特別的悶熱我想這部分我們來努力趕快來做一些加強我認為是要改善空間的對流增加隔熱的效果另外我們要更新我們再生能源的這一些提高能源的這一些效率改善場地提高這些能源的使用率不是要求員工不要開冷氣最後我建議我們對於
transcript.whisperx[104].start 4117.38
transcript.whisperx[104].end 4142.13
transcript.whisperx[104].text 要去研議場地的這些環境的規範來確保作業的環境而且我們要納入一線工作人員的這樣的一個意見不要你們坐在冷氣房裡然後去研議相關基層員工的這種工作環境以及在炎熱氣溫之下工作的辛苦你們都要去體認
transcript.whisperx[105].start 4143.47
transcript.whisperx[105].end 4147.638
transcript.whisperx[105].text 那相關耗能比較高的這些設備也要去
transcript.whisperx[106].start 4148.766
transcript.whisperx[106].end 4177.957
transcript.whisperx[106].text 太換下季來臨之前必須要提出具體的這種改善時程跟執行的成果這能不能在一個月內提出相關的改善措施我覺得這兩點都是很好的建議跟我個人想法是一致的那我們就一個月內提出一個這個改善的一個報告給委員跟議會董事長我再提醒一下盈利有增加大家都給你肯定那轉虧為盈這個努力是值得肯定但是員工的
transcript.whisperx[107].start 4178.757
transcript.whisperx[107].end 4188.95
transcript.whisperx[107].text 工作環境沒有改善卻反而有惡化的這種傾向這董事長責任很大你要去努力改善以上我要簽訂來處理 謝謝好 謝謝李坤哲委員接下來我們請林俊憲委員發言
transcript.whisperx[108].start 4207.62
transcript.whisperx[108].end 4231.846
transcript.whisperx[108].text 謝謝我們請中華郵政董事長我們請中華郵政王董事長請王董董事長好我想了解一下跟其他委員我們今天都來關心我們郵政公司的人力的問題我發現我們的興建人員
transcript.whisperx[109].start 4236.857
transcript.whisperx[109].end 4265.014
transcript.whisperx[109].text 每一年這個離職員工都大於新進能源你看這個表去年從最近幾年離職員工一千兩百多新進員工差不多一千也就是說你的能力都補不足然後董事長都一直報告這個我們的郵政的業績越來越好但是你業績好
transcript.whisperx[110].start 4266.926
transcript.whisperx[110].end 4295.756
transcript.whisperx[110].text 那你能力不足的話 那麼現有員工這個基本上啦 他們反應出來就加班都加到三個半了有沒有這種狀況 還有特休第一線員工特休根本沒辦法休啦是 現在就是說現在有一點時間差事實上我們最近也在考包括半日制就是有這種狀況 所以你能力缺到啊你講的這種半日 就半日制啦
transcript.whisperx[111].start 4297.095
transcript.whisperx[111].end 4320.881
transcript.whisperx[111].text 就半薪的啦月薪差不多一萬八千多一萬八千九對不對另外你欠人家欠到所以你才只好去用這種所謂的半日制的員工做半日的啦表示你的能力有缺嘛所以你才會去考這種半日制的所謂月薪大概一萬八千多的嘛那你正式員工為什麼招不進來
transcript.whisperx[112].start 4322.441
transcript.whisperx[112].end 4344.68
transcript.whisperx[112].text 現在每一年都有在考一年內的離職率多少?一年內的離職率來講的話差不多是那個7% 佔了7%都斷不了啦 兩年內離職率要看啦我們大概離職員工裡面1200多人大概三成是退休了
transcript.whisperx[113].start 4346.95
transcript.whisperx[113].end 4363.269
transcript.whisperx[113].text 其他大概有大概有將近七成幾乎剩下都是厘子啦 都資源厘子啦都資源厘子的啦資源厘子大概七成八成那為什麼現在不可以走
transcript.whisperx[114].start 4365.286
transcript.whisperx[114].end 4394.375
transcript.whisperx[114].text 我舉個例子啦我們公司有一個桃園的所謂A7的郵政園區嘛對不對對有這個嘛對A7郵政園區那你A7郵政園區啊你是不是成立以後那你現在調一些附近的單位的人力過去支援嘛有嗎有你有調桃園的調台北的因為他們是合併啦兩個中間合併到這裡那你原來的在桃園台北的單位啊他們就加班加他們就做不完啦
transcript.whisperx[115].start 4395.287
transcript.whisperx[115].end 4420.581
transcript.whisperx[115].text 因為人減啊你把人調去這個地方啊那照理講如果你成立這個園區以後那他們原來單位的業務量應該要減少啊是不是這樣不然你成立這個園區幹嘛所以你現在造成啊人力被調來支援郵政A7園區的幾個單位像台北像台北桃園桃園啊員工根本反應啊加班到半夜啊
transcript.whisperx[116].start 4422.33
transcript.whisperx[116].end 4437.986
transcript.whisperx[116].text 都加班啦 大家做不到就很辛苦了啦然後不要說正常休假 連特休都沒辦法休啊那你如果沒有辦法解決人力問題那我們後續郵政的經營一定會出問題啦
transcript.whisperx[117].start 4440.783
transcript.whisperx[117].end 4463.273
transcript.whisperx[117].text 跟委員報告現在這樣就是說4月7號是桃園中心到A7那台北中心有一半的人到A7所以它是分散兩地現在到今天桃園跟台北全部都上去了然後有一些不足的地方也用外包人員在處理我想說在4月7號那個市營運的狀況現在應該會好轉
transcript.whisperx[118].start 4468.136
transcript.whisperx[118].end 4489.392
transcript.whisperx[118].text 因為你試營運一片大亂因為那天剛才講的沒有全員到齊但是的確在營運期間有很多比較磨合的部分我們就加速來磨合另外你要考量到消費者就是一般民眾我的郵件我現在要收到的時間都延後了
transcript.whisperx[119].start 4490.634
transcript.whisperx[119].end 4516.59
transcript.whisperx[119].text 因為你連加班都做不了啊你現在把人都調來A7界的地方那你台灣新北的人力幾乎剩下的沒有辦法處理這個業務嘛所以都加班到半夜凌晨甚至大量的郵件也沒有辦法處理延後損害到民眾就收到這個我們他自己東西的一個時間嘛都比原來都延後啊
transcript.whisperx[120].start 4517.628
transcript.whisperx[120].end 4544.797
transcript.whisperx[120].text 那你這個人 人家都站不起來這絕對是個問題來 董事長其實他是這樣他是兩個中心並一個中心 桃園跟台北那剛才講不夠是因為剛才有一半留在台北那一半上來這樣嘛那現在如果今天全部到齊的話基本上這個問題應該就可以處理然後人力的部分就是說我們剛才的確整體人力有一些時間差跟我們現在招考的時間進來還有訓練的時間有些差
transcript.whisperx[121].start 4547.298
transcript.whisperx[121].end 4574.159
transcript.whisperx[121].text 如果是時間差就好了 我是怕你都站不到人你注意看一個現象啦你現在郵局都站不到年輕人啦30歲以下站的比例都很低啦那些年輕人為什麼不來郵政公司為什麼大家都聽到說 那個郵局喔很累嗎 很高班的做得很辛苦的啦所以你告訴我們你的業績一直成長但你業績成長在什麼地方在什麼業務我們在包裹跟快捷對
transcript.whisperx[122].start 4575.845
transcript.whisperx[122].end 4594.783
transcript.whisperx[122].text 你看這個會多累 你自動化還是有限 你以目前來講 你還是需要大量的人力所以有的員工 留下來的員工苦不堪言 就很辛苦那新進的 如果知道未來的工作狀況 他不願意來或者是進來以後 他趕快有離職
transcript.whisperx[123].start 4597.694
transcript.whisperx[123].end 4617.535
transcript.whisperx[123].text 所以你看你每一年 你每一年的離職員工都遠大於新進員工 都多到兩成還有你的合併員工數啊 其實是到兩萬七千多了 你可不可以撐不高嘛你現在都大概只有兩萬五千多了其實這個不是那不管如何啊我希望你能 董事長控管
transcript.whisperx[124].start 4619.296
transcript.whisperx[124].end 4639.709
transcript.whisperx[124].text 時間的關係啦,我希望你能夠趕快解決這個人力做嚴重短缺,還有沒有辦法年輕人不願意到我們郵政來,或者進來以後留不住人才,不然你就做到好也不好,員工變成血汗公司啦,好不好,總長,加油啦,謝謝主席
transcript.whisperx[125].start 4645.745
transcript.whisperx[125].end 4666.452
transcript.whisperx[125].text 好 謝謝林俊賢召委接下來我們請何欣淳委員發言好 謝謝建豪召委那我們是不是先請運營安會跟交通部交通部今天是 吳次長好 請運營安會林欽的主委跟我們交通部政務次長吳聖元次長委員好好 主委好
transcript.whisperx[126].start 4672.219
transcript.whisperx[126].end 4691.056
transcript.whisperx[126].text 那次長好我想我長期在關心這個行動電源的運輸事故所以上次在也是在這個地方那我跟我們的這個運安會的林主委有提過要建置一個行動電源的運輸事故資料庫那我記得了主委跟我
transcript.whisperx[127].start 4691.596
transcript.whisperx[127].end 4710.374
transcript.whisperx[127].text 提到可以那因為當時候呢我提供你五大意見除了建立資料庫那個案調查要提升為系統性的風險分析定期的發布安全改善建議報告還有跨部會的風險通報跟協調平台這個就是跨部會為什麼呢我接下來下一頁
transcript.whisperx[128].start 4711.618
transcript.whisperx[128].end 4734.793
transcript.whisperx[128].text 因為需要運安會跟交通部聯手五次長你管的是鐵道局我為什麼今天會特別再拿出來報告我希望交通部應該要積極主動因為在我們的法規裡面運輸安全資源報告系統是我們運安會所有的職長在裡面有寫到運輸從業人員跟乘客都可提出資源報告我們現在發現一個問題我跟運安會主委有提過
transcript.whisperx[129].start 4742.499
transcript.whisperx[129].end 4768.177
transcript.whisperx[129].text 在這一個運安會的一個系統的一個網頁上面公開的資訊裡面我們鼓勵所謂的自願報告那有關行動電源在我們交通這個運具上面發生了好幾次這個事故但是呢我們看到沒有所謂的自願報告這牽涉到什麼第一個積極主動性第二個是在大數據的一個累積我們才能夠
transcript.whisperx[130].start 4768.857
transcript.whisperx[130].end 4787.027
transcript.whisperx[130].text 有足夠的一個量能來做所謂的評估跟風險建議那從運安會到目前為止我們再次的看到以行動電源事故的資源報告非安有兩件鐵道有一件水路零件公路零件但是反而是從媒體
transcript.whisperx[131].start 4788.288
transcript.whisperx[131].end 4816.599
transcript.whisperx[131].text 跟我們說的台鐵接二連三發生很多件旅客的行動電源爆裂自然不只一件但是呢我們看到鐵道相關的單位跟從業人員沒有人做所謂的自願報告那這個呢我認為就是交通部跟運安會要共同來合作的那五次長你知道這一件事嗎
transcript.whisperx[132].start 4818.267
transcript.whisperx[132].end 4842.718
transcript.whisperx[132].text 跟委員報告 我想我知道這事行動電影部份交通部其實在之前已經訂定所謂的使用作為規範已經跟各個營運機構提供給他們去做參考對啊 但是還是發生事件啊我們是要用所謂的合格的產品嘛那另外你使用的時候希望能夠在你看到的地方眼睛可以看到的地方這個我想我們會持續再來要求
transcript.whisperx[133].start 4843.078
transcript.whisperx[133].end 4856.84
transcript.whisperx[133].text 次長你講的是一件事我講的又是另外一件事你講的是我們現在有一個規範要宣導請旅客呢要能夠呢第一個用合格的行動電源第二個呢要放在
transcript.whisperx[134].start 4858.602
transcript.whisperx[134].end 4874.673
transcript.whisperx[134].text 我們所看得到的地方 目視所及之處但是我講的是 當你們的台鐵已經接二連三發生了那麼多件媒體也都已經有報導了但是呢 鐵道局台鐵公司裡面沒有人知道何謂自願報告
transcript.whisperx[135].start 4876.294
transcript.whisperx[135].end 4893.386
transcript.whisperx[135].text 理論上只要發生事情應該要自願報告不管是我們自己台鐵內部甚至的應該要通報運安會不管這次是大或小他只要是對交通運據在行進當中可能造成的
transcript.whisperx[136].start 4894.227
transcript.whisperx[136].end 4919.009
transcript.whisperx[136].text 人員還有交通事故的一個危險上的一個安全疑慮的話理論上都要有所謂的自願報告這個是我們積極鼓勵而且在法規裡面明定要求的希望能夠呢以這個自願報告來鼓勵能夠呢進而累積量能進而能夠可以檢討改善讓未來的交通運具的安全能夠更安全
transcript.whisperx[137].start 4919.477
transcript.whisperx[137].end 4946.298
transcript.whisperx[137].text 是 謝委員的提醒 剛提到說台鐵或鐵路運輸系統部分 行動電源部分 即使台鐵都會向這個鐵道局報告向鐵道局報告 但是鐵道局沒有任何一個人跟運安會做所謂的資源報告因為他跟運安會報告的時候 他有一個分級啦就是對陣線的影響那些 他有相關的一個規定符合我是建議啦 市長 但是他一定會跟交通部報告
transcript.whisperx[138].start 4946.738
transcript.whisperx[138].end 4967.121
transcript.whisperx[138].text 我是建議啦市長你們自己的分級不能在自己的內部就把它掩蓋掉了啦為什麼啦因為呢你認為是小市可能它的危險程度不夠大但是你怎麼知道這個危險有可能造成人員的傷亡或者是交通運具行駛當中的一個安全問題
transcript.whisperx[139].start 4967.862
transcript.whisperx[139].end 4996.513
transcript.whisperx[139].text 是 謝謝委員 是不是剛提到了 那你們是不是可以內部要檢討第二個我也要求運安會要對行動電源的事件的資料庫要建立那我們也鼓勵所有的交通運具裡面的志願報告的這樣子的一個價值跟他的主動的精神跟行動一定要能夠做到啊是 我跟委員報告齁剛剛講行動電源這個事情發生爆炸這個事情在交通部都有掌握跟委員報告齁 這個沒有問題
transcript.whisperx[140].start 4997.253
transcript.whisperx[140].end 5018.18
transcript.whisperx[140].text 那我還是建議啦我會再提案運航會跟交通部對於行動電源事故的資料庫你們要跨部會合作啦而且我認為交通部應該要積極的來跟我們的鐵道局裡面以及台鐵軌道的相關的從業人員應該要分享這樣的一個資訊而且要鼓勵志願報告
transcript.whisperx[141].start 5019.94
transcript.whisperx[141].end 5044.567
transcript.whisperx[141].text 這是一件事跟你講的這個規範那又是另外一件事好不好我為什麼會這樣子講接下來如果說是內部層級的問題上個禮拜我們看到這個大學生入侵高鐵的無線電是駭客還是呢他裡面的密碼被盜考還是是我們高鐵的自通防護太弱
transcript.whisperx[142].start 5045.714
transcript.whisperx[142].end 5068.37
transcript.whisperx[142].text 高鐵已經是我們的軌道建設裡面等級相當高的一個軌道運輸如果高鐵都還會被害的話那台鐵是不是又更罵咖那我們高鐵的無線電在這一次裡面被一個大學生這件事次長應該知道吧我知道那這件事有支援報告給運安會嗎
transcript.whisperx[143].start 5071.057
transcript.whisperx[143].end 5090.069
transcript.whisperx[143].text 這個事情應該有跟運安會有就我拿到的一個你們的書面資料啦高鐵呢4月5號11點晚上11點23分事件發生緊急停車11點52分高鐵說用簡訊通知鐵道局跟運安會運安會有收到嗎簡訊喔簡訊喔有嗎報告委員這部分我們目前是沒有收到通報
transcript.whisperx[144].start 5100.549
transcript.whisperx[144].end 5102.41
transcript.whisperx[144].text 這個事情問題就來囉 次長我剛剛是用台鐵 我現在用高鐵你都說你們內部有分級的通報系統但是你們呢 到底這個SOP有沒有做到位
transcript.whisperx[145].start 5116.092
transcript.whisperx[145].end 5142.515
transcript.whisperx[145].text 這件事是一個嚴重的事情一個大學生可以倒接高鐵的無線電然後透過無線電告訴說什麼有緊急狀況然後高鐵因為有這件事而在當天晚上有四班列車停駛48分鐘三班的是行駛當中的旅客在上面的一個列車一班是回送列車
transcript.whisperx[146].start 5143.576
transcript.whisperx[146].end 5161.142
transcript.whisperx[146].text 那我就問啊 那我們高鐵的自通安全的防護系統到底是怎麼一回事而且呢高鐵的無線電商業 高鐵的無線電已經是所有台灣的交通運具裡面最高層級它的無線電要經過七道的驗證
transcript.whisperx[147].start 5162.711
transcript.whisperx[147].end 5172.026
transcript.whisperx[147].text 而這個大學生竟然可以通過這七道的驗證然後呢可以直接駭入我們的無線電而且可以放送錯誤的訊息讓高鐵列車停駛
transcript.whisperx[148].start 5176.904
transcript.whisperx[148].end 5197.547
transcript.whisperx[148].text 這件事你說他不大嗎這等於是可能是國安問題還是國人的生命這個安全的問題這件事市長結果呢你說高鐵說有簡訊通報這個鐵道局跟運安會但是運安會說他沒有收到那現在到底是怎麼一回事
transcript.whisperx[149].start 5197.927
transcript.whisperx[149].end 5219.546
transcript.whisperx[149].text 我跟委員報告喔 那個鐵道移植部分收到是確定沒問題喔然後後續剛剛提到 因為跟營安會他通報有他的相關的要件就到什麼程度才會通知那個營安會那後續我們再針對這幾個太陽啊 我們是不是再跟營安會再討論一下市長 這很重要一件事喔雖然這一件事已經送司法偵辦 那個男大學生也十萬元交保
transcript.whisperx[150].start 5223.109
transcript.whisperx[150].end 5243.688
transcript.whisperx[150].text 但是呢司法是一回事行政內部的調查是你們自己一定要做的那這個並不衝突耶因為這是要保證我們公共運輸安全的一個機制那這個個案第一個交通部鐵道局高鐵到底有沒有依法自願通報運安會目前看起來是沒有
transcript.whisperx[151].start 5244.775
transcript.whisperx[151].end 5272.789
transcript.whisperx[151].text 第二個有沒有全面的盤點高鐵台鐵捷運等軌道運輸的自通安全你們的自通安全防護網到底夠不夠格到底夠不夠高讓一個大學生都能夠駭進而且我跟你講之前也發生過陶傑頻道也遭入侵喔那所以有學者說公共設施軌道建設的應該全面的盤點跟防堵那這件事情發生之後
transcript.whisperx[152].start 5273.869
transcript.whisperx[152].end 5298.255
transcript.whisperx[152].text 市長我們高鐵有盤點嗎?台鐵有盤點嗎?高鐵跟台鐵都已經在盤點了那剛剛講其他的那個捷運系統部分我想我再要求那個鐵道局去責成鐵道局去要求我們這些軌道運輸裡面的無線電系統的設備有汰換的連線嗎?有保管的方式嗎?SOP安全防護參數的一個更新有沒有
transcript.whisperx[153].start 5298.775
transcript.whisperx[153].end 5310.807
transcript.whisperx[153].text 提高頻率來更新因為你參數要不斷的變動那才會增加破解的困難度嘛對 這後面我們再去做研討啦做研討 事情都已經發生那麼多件了對不起 做檢討是嘛 那你多久的時間要檢討出來要給一個檢討報告好 我們是不是一個月內
transcript.whisperx[154].start 5319.461
transcript.whisperx[154].end 5341.153
transcript.whisperx[154].text 一個月內我希望能夠看到檢討報告而且一個月內檢討完之後要有行動去改進去做得更好因為這關係到安全的問題不僅僅是這個交通安全還有國人的生命安全的問題好不好最後兩位請回我請中華郵政我只最後一個提醒這個首先要謝謝
transcript.whisperx[155].start 5344.775
transcript.whisperx[155].end 5369.392
transcript.whisperx[155].text 王董事長 首先要謝謝中華郵政因為在這個中央普發現金一萬塊在4月30號期限截止之前總計有3367181人是透過郵局來領獻所以要謝謝郵局的辛苦但是我也提醒董事長你知道如果是4月份出生的baby可不可以領一萬塊
transcript.whisperx[156].start 5371.312
transcript.whisperx[156].end 5378.831
transcript.whisperx[156].text 4月初應該是可以了應該可以嘛對不對那因為我們4月30號截止那4月份出生的baby
transcript.whisperx[157].start 5380.197
transcript.whisperx[157].end 5405.916
transcript.whisperx[157].text 那以我們的過去的慣例 延到5月22號之前都可以來領獻對不對這一件我覺得要透過媒體 透過大家共同來宣傳因為以我們現在掌握到的4月份這個當月出生符合資格的新生兒大概有6000人而目前我們拿到的資料告訴我們只有1700多人領取
transcript.whisperx[158].start 5406.636
transcript.whisperx[158].end 5424.166
transcript.whisperx[158].text 表示還有4000人還沒有領那這些4000個新生的baby他們都有資格領一萬塊所以新手的爸媽或者是這些baby的爸媽要記得趕快來領5月22號之前可以到郵局領獻對不對 董事長
transcript.whisperx[159].start 5426.608
transcript.whisperx[159].end 5442.323
transcript.whisperx[159].text 所以這個我也希望透過郵政的系統可不可以幫忙宣傳一下我們窗口跟郵局的系統請大家趕快到郵局來領上個月四月份出生的baby都可以領
transcript.whisperx[160].start 5443.024
transcript.whisperx[160].end 5465.649
transcript.whisperx[160].text 最後最後的一個小問題提醒郵局郵局也是所謂的金融機構我們現在發生一個問題這個是我的服務案件我們現在出國的留學包括學位生交換生語言學校生美國澳洲日本英國德國韓國你會說這跟郵政服務有沒有關係因為呢郵政的儲戶是最多學生開設帳戶的
transcript.whisperx[161].start 5468.164
transcript.whisperx[161].end 5495.362
transcript.whisperx[161].text 金融機構你同意吧對所以很多學生他可能他唯一有的叫做郵政儲戶這樣子的一個帳號但是呢我們郵政儲金的這個什麼餘額存款證明這是什麼你知道嗎就是我如果要去遊學我如果要出國留學或是遊學要財力證明這個就是所謂的財力證明對不對但是你們的財力證明
transcript.whisperx[162].start 5497.301
transcript.whisperx[162].end 5508.842
transcript.whisperx[162].text 竟然只有美金的兌換匯率你們的電腦系統裡面不能有日元不能有歐元不能有其他的
transcript.whisperx[163].start 5511.812
transcript.whisperx[163].end 5532.078
transcript.whisperx[163].text 這個是一個很僵化跟非常傳統的模式現在所有的金融機構都與時俱進而且你們現在郵局也能兌換美金港幣歐元日元人民幣現鈔都可以兌換了為什麼在財力證明上面你們的電腦系統就只能有美金一個匯率的一個表示方式
transcript.whisperx[164].start 5533.098
transcript.whisperx[164].end 5549.134
transcript.whisperx[164].text 對不對這個系統去改一下就好啦因為我要去日本留學我要的是日圓的一個財力證明啊我要去澳洲我要的是澳幣的一個財力證明啊我要去歐洲留學或是遊學我要的是歐元的財力證明的一個好
transcript.whisperx[165].start 5551.249
transcript.whisperx[165].end 5565.566
transcript.whisperx[165].text 這部分我們處長說他研究一下過去因為全世界的通貨貨幣是美元所以他因為國家很多其他的金融機構在財力證明上面都是可以因應美日歐
transcript.whisperx[166].start 5566.167
transcript.whisperx[166].end 5592.739
transcript.whisperx[166].text 就幾個比較重要的我們遊學的國家這樣是是是是這個只是系統上的一個小小的一個可以改進的地方我覺得可以讓學生更方便因為郵政儲戶最大的客群就是學生廣大的學生可能他身上就只有一個郵政的一個帳號了解所以他需要有你們的財力證明所以可以把它與時俱進改進的更好
transcript.whisperx[167].start 5595.68
transcript.whisperx[167].end 5606.452
transcript.whisperx[167].text 更符合現在的需求好不好對 委員所講的我覺得有道理 那個我請我們處長研究一下再跟委員在這邊回報一個月內可以嗎一個月內回報好 謝謝謝謝何欣淳委員接下來我們請陳樹越委員發言
transcript.whisperx[168].start 5624.711
transcript.whisperx[168].end 5628.678
transcript.whisperx[168].text 謝謝主席 請主席邀請運安會林主委好 請林主委委員好
transcript.whisperx[169].start 5636.011
transcript.whisperx[169].end 5656.766
transcript.whisperx[169].text 主委早安 本席在這邊先來關心一下有關我們港區的水路安全的議題我們看到最近光3月跟4月就接續發生了貨船碰撞碼頭或者是互撞的一個事故
transcript.whisperx[170].start 5657.586
transcript.whisperx[170].end 5674.745
transcript.whisperx[170].text 那我們看到3月6號就是安海信心輪在台中港離港的時候觸碰了13號碼頭那4月1號的時候又發生了這個英國籍的日耳輪在高雄港77號碼頭與另一艘貨船發生碰撞的事故
transcript.whisperx[171].start 5675.726
transcript.whisperx[171].end 5695.057
transcript.whisperx[171].text 那我們根據運安會的統計從運安會成立以來就總共發生了27件與這個雲水人領航有關的一個事故我們看到我們運安會所統計的這個水路事故的一個類型就是大概有觸碰、碰撞以及擱淺、翻覆這四大類型
transcript.whisperx[172].start 5696.158
transcript.whisperx[172].end 5720.937
transcript.whisperx[172].text 那以這四大類型來看主要就是觸碰碼頭或設施就佔了55.6%那碰撞其他船舶就佔了25.9%擱淺是7.4%然後翻覆級其他是11.1%那事實上我們看到這個事故率比例最高的這兩個基本上是就是跟飲水人或者是人為的事故
transcript.whisperx[173].start 5721.657
transcript.whisperx[173].end 5740.765
transcript.whisperx[173].text 比較有關係所以就是針對我們自己運安會的一個就是對於這樣子的一個事故統計歸納之後就是說有關飲水人領航事故的一個安全議題主要就是有這四個重點就是船長與飲水人資訊交換不良
transcript.whisperx[174].start 5742.806
transcript.whisperx[174].end 5763.994
transcript.whisperx[174].text 還有飲水人操船決策失誤還有飲水人領航前飲酒或疲勞還有飲水人惡劣天候下強行登船所以依據我們運安會目前就是針對就是飲水人領航事故有列了103項的改善建議那至今就是說這些建議是不是都已經有達到了你知道嗎
transcript.whisperx[175].start 5765.197
transcript.whisperx[175].end 5778.24
transcript.whisperx[175].text 這些建議事實上我們一面列管因為會新增目前就是還沒有改善的我們的南爾治療室說還有26項未改善改善經驗我請組長來講一下
transcript.whisperx[176].start 5785.048
transcript.whisperx[176].end 5810.968
transcript.whisperx[176].text 根本報告就是有關飲水人的感染建議如果統計到114年底大概還有幾個類型的一個是有關於領航期間的溝通協調支援管理這是比較多的感染建議還在列管那另外還有三類包括飲水人的體格檢查飲水人的排班跟疲勞管理跟飲水船的規格跟安全設備那這四大類是統計到114年底都有相關的感染建議還在列管當中這樣子
transcript.whisperx[177].start 5811.587
transcript.whisperx[177].end 5816.23
transcript.whisperx[177].text 是那我們有沒有要求說這個什麼時候要全部改善完成
transcript.whisperx[178].start 5819.723
transcript.whisperx[178].end 5844.208
transcript.whisperx[178].text 跟委員報告就是說我們現在的改案建議發布之後都有一具這個調查法跟這個行政院頒布的列管作業規定每半年的話各單位都要提報這個執行進度給行政院跟我們醫院會這邊那如果他有這個分享執行計畫如果都一期完成的時候那我們就會建議行政院解列所以每一個案子都有他各自的那個時程在列管當中
transcript.whisperx[179].start 5844.747
transcript.whisperx[179].end 5860.125
transcript.whisperx[179].text 是我們希望就是說我們要掌握這個未改善的這個事項啊到底是哪個環節遇到困難那我們也希望就是說能夠督促這個相關單位就是主管機關能夠就這個事項去進行改善因為我們覺得這個水
transcript.whisperx[180].start 5862.327
transcript.whisperx[180].end 5890.054
transcript.whisperx[180].text 就是港區的水路安全是非常的重要尤其我們看到就是根據我們雍安會的統計的這個水路的事故統計那發生的件數最高的竟然是這個國際三港的其中的兩個最高就是高雄跟台中那我國的這個三大國際三港其中兩個的事故率這麼高這個不僅是會影響到就是相關的這個財產的損失
transcript.whisperx[181].start 5891.534
transcript.whisperx[181].end 5909.091
transcript.whisperx[181].text 最重要的也是影響到我們國際的一個形象所以我覺得這是一個非常重要的一個部分所以我們希望就是說對於這個港區的水路安全我們希望就是透過我們運航會的這樣子的一個事故調查之後也能夠督促相關單位盡快進行改善好 謝謝那我先接下來請教一下這個郵政我們請那個王董事長
transcript.whisperx[182].start 5925.694
transcript.whisperx[182].end 5948.262
transcript.whisperx[182].text 王董事長早安我們知道現在就是遊物的這個面臨最大的一個問題就是因為數位化之後現在寄信的人少了因為幾乎都用email或者是LINE來聯絡所以面對這樣子的一個不可逆的一個趨勢我們每年這個遊物的減少的比例大概多少
transcript.whisperx[183].start 5951.243
transcript.whisperx[183].end 5976.064
transcript.whisperx[183].text 應該這樣 信函一年大概減少大概3%左右但是從去年開始 包裹大概包裹跟快捷都成長了 最近的快捷的成長已經到27%了所以現在轉是有成功 現在再轉成功是 就是說在油五劑性的這個部分 我們就是這個件數跟收入都減少了啦 那本席也有發現就是說我們這個愛油箱的這個
transcript.whisperx[184].start 5977.184
transcript.whisperx[184].end 5998.978
transcript.whisperx[184].text 部分我們在建置之後我們目前全台是建置了2,408座那整個支出就是建置以及維護的一個經費是8億多那我們收入還有11億多所以看起來我們這個就是沒有虧本沒了錢可是我們看到使用率只有58.04%所以這個應該還有成長的空間吧
transcript.whisperx[185].start 6003.18
transcript.whisperx[185].end 6021.851
transcript.whisperx[185].text 是最近我們也在做一些調整處長這邊就是針對我們購去愛油箱因為當時的KPS多少做啊那我是覺得有很多地方是不是那麼好的一個地方所以最近也在做這些愛油箱的一個調整第二個就是愛油箱的
transcript.whisperx[186].start 6022.611
transcript.whisperx[186].end 6050.388
transcript.whisperx[186].text 它的聚取的部分 取是很方便 寄比較不方便所以我們從去年開始大概有一百座的把寄做得非常方便的愛油箱我們叫做聚取店現在也在做比如說愛油箱它是彌補我們油局這個沒有24小時營運的這個空間所以我們是覺得很重要所以一方面就是位置的調整另外是它功能的提升
transcript.whisperx[187].start 6052.986
transcript.whisperx[187].end 6077.028
transcript.whisperx[187].text 我們知道現在電商市場的需求越來越大所以我們針對目前這個愛油箱的使用率迄今為突破六成那我們也希望就是中華油生這邊能夠提出改善策略因為也因應目前這個電商市場的一個發展我想這個應該很有發展的一個空間吧是就剛才談的這兩點位置的調整跟功能提升
transcript.whisperx[188].start 6077.968
transcript.whisperx[188].end 6102.051
transcript.whisperx[188].text 另外一方面是行銷我們也做了很多行銷的工作是 好 謝謝董事長好 謝謝陳樹葉委員發言接下來我們請萬美玲委員發言謝謝趙偉 我們有請王董事長好 我們請王董事長
transcript.whisperx[189].start 6113.362
transcript.whisperx[189].end 6130.314
transcript.whisperx[189].text 我們看到中華郵政也編了275億在桃園我們有一個AC郵政物流園區那這個園區其實利益蠻好的就希望能夠整合北部地區郵件的處理然後還有提升郵件自動化的效率我覺得這兩個目標都蠻好的不過我們看到雖然這個園區今天開始正式營運
transcript.whisperx[190].start 6137.739
transcript.whisperx[190].end 6165.71
transcript.whisperx[190].text 那前面我們有一段試營運期其實我是比較覺得打一個問號我們中華郵政也是百年老店了啦要這麼大的一個郵政物流園區為什麼不能夠好好的規劃好以後再來上路這個試營運會讓人家覺得說是不是我在試營運當中如果出了很多的問題那當然找問題是一件事啦但是出現太多太大的問題恐怕這個試營運也比較說不過去就應該要好好的去把它準備好所以呢
transcript.whisperx[191].start 6166.81
transcript.whisperx[191].end 6195.509
transcript.whisperx[191].text 我們看到這個有郵局的員工自己出來爆料那我其實非常重視這個爆料為什麼呢因為他說這個A7園區其實要啟用的時候人力調度不佳那這個人力調度不佳包括人力的不足當然也包括就是在人力調動當中那這個人力可能又要來支援這個園區那還有自己園單位等等我覺得看這個爆料的過程當中我覺得蠻混亂的那是不是在這個部分我董事長可以說明一下
transcript.whisperx[192].start 6197.811
transcript.whisperx[192].end 6211.966
transcript.whisperx[192].text 因為他現在試營是因為機器都變更新了他變成是應該是前亞洲最先進的一個就是郵件處理的一個系統那過去人力調度是這樣因為他台灣中心先辦過去嘛
transcript.whisperx[193].start 6213.047
transcript.whisperx[193].end 6237.06
transcript.whisperx[193].text 那台北郵件處理它是未來桃園郵件處理中心跟台北郵件處理中兩個把它合併在那邊但是在搬的過程所以它是分兩地就是我們台北郵件處理我理解啊早上您在答詢的時候我也有聽到一定是這樣嘛那但是問題是我們應該就要有一個比較好的調度計畫本身要提醒的是這件事情當然是這樣子可是不能因為說因為我兩個要併在一起我就可以亂成這個樣我覺得這對於員工來講是一個很大的負擔
transcript.whisperx[194].start 6240.842
transcript.whisperx[194].end 6264.695
transcript.whisperx[194].text 的確就是開始有些磨合起包括兩邊的員工的處理的模式但是這段時間已經慢慢變好了另外有一方面是自動化設備的微調部分這部分的確在當時設計的時候是把未來郵件都把它當成標準郵件來看所以就有一些錯誤跟磨合在裡面現在也在調整
transcript.whisperx[195].start 6265.996
transcript.whisperx[195].end 6280.975
transcript.whisperx[195].text 但是呢他其實在這個爆料當中還有講到一點就是說這個自動化設備其實沒有驗收完成所以頻頻失靈才會造成這麼混亂的結果有這樣的事情嗎他現在他在微調就是說我舉個例子來講過去的包裹
transcript.whisperx[196].start 6282.676
transcript.whisperx[196].end 6310.722
transcript.whisperx[196].text 這個他認為在未來可能是大概37公分嘛所以變成說沒有沒有董事長我想講的太細節的部分其實你們在試運之前就應該要把很多的細節能夠去注意到但是呢我覺得第一個人力調度這件事情其實我覺得它是可以克服的那這一次這麼亂我覺得要作為一個警惕跟經驗那第二個呢就在這自動化這個設備到底有沒有驗收完成這件事情是重要的所以在當時是驗收完成了嗎
transcript.whisperx[197].start 6312.522
transcript.whisperx[197].end 6327.753
transcript.whisperx[197].text 他們驗收完成但是這個合約有驗收完成嗎驗收完成但是我最近要求他們微調要做到完我們才付尾款好那至少你一定要驗收完成嘛對不對不能說驗收都還沒有完成那我們就來去試營運這樣是不可以的
transcript.whisperx[198].start 6328.413
transcript.whisperx[198].end 6337.717
transcript.whisperx[198].text 所以我想在這個過程當中我們希望將來不管有任何新的政策上來或者我們有新的一個變動這一次的經驗我覺得都要提醒一下那接下來呢本期要跟您討論的就是說我們現在這個中華郵政
transcript.whisperx[199].start 6343.899
transcript.whisperx[199].end 6367.034
transcript.whisperx[199].text 今天也聽這個董事長報告其實我們有很多就是很不錯的成績展現出來百年老店要維持過去的榮耀然後又要再開創新局其實不容易但是人絕對是中華郵政的一個根本所以我們一定要把我們的員工照顧好我們要把工會的聲音聽進去唯有把這些員工照顧好以後我們中華郵政才能向前邁進但是我們來看
transcript.whisperx[200].start 6370.456
transcript.whisperx[200].end 6393.891
transcript.whisperx[200].text 這個人力的缺口其實董事長您自己也在前陣子在媒體上也有提到那本席看了一下我們現在中華郵政在預算原額上面應該要有達到27496人不過現在看起來只有2470人缺額就高達了3026人那本席看到董事長之前就是在我們媒體上面也有跟媒體講說
transcript.whisperx[201].start 6395.433
transcript.whisperx[201].end 6408.871
transcript.whisperx[201].text 現在不但是目前人力就吃緊而且還要面臨退休潮所以這個人力吃緊的狀況其實您也看到了而且本席看到可能從114年到118年恐怕每一年都會將近1000人退休這個數字是對的嗎是 對
transcript.whisperx[202].start 6410.553
transcript.whisperx[202].end 6413.894
transcript.whisperx[202].text 這是對的所以好第一個這數字是對的第二個你也發現了這樣問題那要怎麼去改善這個問題那我提幾個數字來跟你們再對一次我們看到在114年的時候我們離職的員工離職員工當然也包含退休就有1310人這數字真的非常的大然後我們在這個新進的人員我們招募了1040人
transcript.whisperx[203].start 6437.823
transcript.whisperx[203].end 6458.515
transcript.whisperx[203].text 那當然問題來了第一個就是說我們臨時員工真的很多除了該退休的退了以外那還有什麼我們剛招進來的人裡頭就有將近百位他留不住所以你看我們第一個你這個一千零四十人其實我知道你要招的大概是一千一百多人所以第一個你招不滿第一個招進來以後留不住第三個你又擋不住退休潮
transcript.whisperx[204].start 6459.415
transcript.whisperx[204].end 6483.073
transcript.whisperx[204].text 你點出這個問題沒有解決的方案我覺得這是很值得憂心的啦那再者我們又看到你又預估115年我們大概還需要1803人116年預估還需要2180人那我覺得打了很多很多的問號了就是說招不滿留不住退休潮擋不住跟你後面還需要這麼多人那你覺得這個人力上面的這個問題一點這個吃緊要怎麼解決呢
transcript.whisperx[205].start 6486.056
transcript.whisperx[205].end 6500.774
transcript.whisperx[205].text 對 跟外媒報告的確在中華山在過去有一段時間它是以節流為主那我來以後是覺得開眼是也很重要所以也要開眼的確因為這個狀況變成有一個人力差當時節流嘛
transcript.whisperx[206].start 6502.276
transcript.whisperx[206].end 6520.865
transcript.whisperx[206].text 沒有 那現在我們就是人力出廠這邊已經在積極的招考包括9月有一批人會進來 會把這些對 把這些人也趕快來補齊 其實中間有一個時間差而且我們最近在快捷的部分是成長27%哇 這個人力真的是不足
transcript.whisperx[207].start 6521.505
transcript.whisperx[207].end 6534.831
transcript.whisperx[207].text 但是我覺得所以剛才我一聽到您在講說很多的業務在成長我都一則以喜一則以憂啊我真的覺得成長這件事對中華油這是好事但對於員工來講如果只是現階段就這些人哇他們的工作壓力真的加倍啊要趕快補進來要趕快補進來要把方法
transcript.whisperx[208].start 6538.012
transcript.whisperx[208].end 6565.98
transcript.whisperx[208].text 把方法找出來這是第一個第二個呢我們不見的人我們要讓他留得住所以給他好的工作環境這件事就非常重要了我們應該要怎麼樣去不管是他的薪資結構啦或者獎勵啦津貼啦那甚至於我覺得在很多的這個實質上的鼓勵啦體恤啦我覺得其實這個董事長你也是一個很有溫度的人這個一定要做到但還有另外一個問題我們剛剛除了這個基層員工人力吃緊之外本席發現我們主管
transcript.whisperx[209].start 6567.881
transcript.whisperx[209].end 6595.9
transcript.whisperx[209].text 主管的職務的這件事情好像現在也沒有人要做耶所以我們還出現了很多的支局的經理找不到人的一個問題喔就那這個又衍生出另外一個問題第一個沒有人要去當主管為什麼第二個呢有一些人呢其實他已經有這個主管職的一個資格的員工喔那他是不是他是不是可以領主管職的這個薪資但他去做的卻不是卻沒有去做他應該在這個薪資上面要做的工作是不是有這樣的狀況能不能說明一下
transcript.whisperx[210].start 6596.94
transcript.whisperx[210].end 6615.709
transcript.whisperx[210].text 現在的確就是這個我常常看到那個資舉的經理現在大家都不願意當因為壓力很大然後要扛這個業務那我們現在的方式一方面就是說在資理經理的養成教育我覺得要更這個精確一點然後要讓他更有信心比如說
transcript.whisperx[211].start 6616.209
transcript.whisperx[211].end 6638.001
transcript.whisperx[211].text 什麼叫精確一點比如說他需要的是一個資理經理的一個類似教戰手冊在過去我沒有所以我這邊也請他把資理經理從第一天上班到什麼首爾中間問你的問題怎麼照科把寫出來這第一個先做第二個現在我們面臨到這個機器人經理人這個
transcript.whisperx[212].start 6639.642
transcript.whisperx[212].end 6654.35
transcript.whisperx[212].text 不願意去當我們現在最近把專二子本來他是沒有資格當定級經理的我們最近大概有30%讓他可以上去所以等於說供給還有包括這個在整個資理經理的養成部分因為的確有很多
transcript.whisperx[213].start 6655.21
transcript.whisperx[213].end 6676.639
transcript.whisperx[213].text 這個部分我提兩個點啦因為你也發現這個點我就提兩個點第一個就是說如果我們在整體的制度上面他明明就已經考上主管職了他應該要去做主管職的工作但他沒有去他領的還是這個薪資我覺得整個結構上面你們應該要徹底的去檢討討論一下因為這也會引起很多基層的同仁的心理上面的不愉快
transcript.whisperx[214].start 6677.219
transcript.whisperx[214].end 6692.292
transcript.whisperx[214].text 這一定會的第二個就是說那我已經是主管了為什麼我不願意去做你剛剛說交代手冊我真的覺得本身真的覺得不是重點就是說你應該我覺得要找出真正的併徵是為什麼他為什麼不願意去到底我們這個工作環境出了什麼狀況了這樣的榮譽值
transcript.whisperx[215].start 6694.774
transcript.whisperx[215].end 6705.989
transcript.whisperx[215].text 這樣子一個位置他卻不願意來我覺得想這個董事長會後你好好去討論一下到底是什麼原因把這些目前是這樣子的人找來問問看你們到底什麼狀況然後歸納原因以後找出問題才能夠有解決的方法那我最後講一個也就是說
transcript.whisperx[216].start 6713.077
transcript.whisperx[216].end 6741.016
transcript.whisperx[216].text 我們今天不管是我們在郵局的這些行政人員基層員工 我們郵務室我跟你講大家真的好辛苦 非常的辛苦你人力又不足所以這些問題要盡快去解決這樣子我們才有辦法這些員工一起跟著中華郵政去進步所以今天本席提出來的問題我希望是不是一個禮拜之內可以給我一份報告跟說明 可以嗎好 OK 一個禮拜一個禮拜 好 謝謝
transcript.whisperx[217].start 6743.988
transcript.whisperx[217].end 6763.077
transcript.whisperx[217].text 好 謝謝外面的委員發言 謝謝王董事長我們接下來請陳雪生委員發言那稍後我們再徐富奎委員發言完之後我們休息十分鐘好 謝謝召委 誰不請中華郵件我們董事長 王董事長好 我們請王董事長
transcript.whisperx[218].start 6770.681
transcript.whisperx[218].end 6790.022
transcript.whisperx[218].text 陳偉好董事長部長早我們老部長其實董事長你當部長那天我對你就非常有信心因為你是一個非常務實的人而且沒有把顏色分得很清楚我是很佩服你的地方我相信
transcript.whisperx[219].start 6791.638
transcript.whisperx[219].end 6812.416
transcript.whisperx[219].text 董事長接負中環郵政的重任,你一定也做得很好而且你在部長任內也代理過,代理過好幾次剛才提到郵政缺人,你考試能不能多考一點昨天電視上我看卓院長對護理人員說
transcript.whisperx[220].start 6815.435
transcript.whisperx[220].end 6843.844
transcript.whisperx[220].text 他打電話給考試院題目出簡單一點嘛是不是你不要出那麼複雜啊現在年輕人對這個公務體系都沒什麼興趣啦他玩股票隨便玩一下一個禮拜賺十幾二十萬他幹嘛幹你這個一個月才五六萬塊錢是不是你能夠多考一點我們那邊常常有單位出缺喔只錄取一個名額錄取一個名額勒好已經放榜了
transcript.whisperx[221].start 6844.687
transcript.whisperx[221].end 6855.218
transcript.whisperx[221].text 他不去報到那再考要經過好幾個月這時候已經來不及了嘛是不是所以你可以多考一點嘛
transcript.whisperx[222].start 6858.868
transcript.whisperx[222].end 6875.752
transcript.whisperx[222].text 這部分我們處長有在處理,包括最近有一些臨時在插軍區的考試也在進行中因為我看早上好幾位委員都在關心這個問題我想中華郵政很重要那麼像我們老人家,我看了你們早上的夜報郵政業務裡面郵件大概有低檢其他除非業務像儲金、匯兌
transcript.whisperx[223].start 6885.666
transcript.whisperx[223].end 6912.92
transcript.whisperx[223].text 受險、代理業務都有成長我覺得這蠻好的事情那現在郵政業務你如何長久應對電子化的趨勢當然老人家可能不習慣像我們這一代人可能不習慣你怎麼樣去應對電子化的趨勢現在跟我有報告你這張投影片是重點就是丹麥郵局在去年的12月
transcript.whisperx[224].start 6913.837
transcript.whisperx[224].end 6939.587
transcript.whisperx[224].text 把郵筒都拆掉不寄信了所以我們也有這個危機感就是說這個中華專在某一天有可能寄信會甚至一直往下跌跌到低點所以我們現在的重點就是把寄信轉到包裹跟快捷這是我們現在的一個方向那這個方向的確現在也有一些成果比如到3月的時候郵件減少當然快捷跟包裹都增加大幅增加
transcript.whisperx[225].start 6940.467
transcript.whisperx[225].end 6962.626
transcript.whisperx[225].text 那的確在這個公司在轉型過程中對於人力的這個調配的確是很重要的課題所以我現在也跟處長這邊特別談了就是包括最近招考的半日制因為有很多的人他是希望半天時間照顧家庭半天去工作的所以用這樣的方式也讓更多人來
transcript.whisperx[226].start 6963.887
transcript.whisperx[226].end 6984.618
transcript.whisperx[226].text 參與到郵政的大家庭昨天我聽一個朋友跟我講一個故事一個老人家高齡他急郵他急郵急了好多算一算有900多萬急郵你們郵票有沒有900多萬後來他死掉了寫了一個遺書這個郵票都給他兒子後來他兒子
transcript.whisperx[227].start 6994.468
transcript.whisperx[227].end 7018.167
transcript.whisperx[227].text 有票拿去幹什麼?拿去賣賣多少錢?賣十幾萬,九百多萬賣十幾萬所以現在極右的人我看慢慢就少了,結果你現在寫信的人少了以前都寫情書啊什麼的,現在用電子張一下就過去了嘛是不是?所以這個都很傷腦筋另外董事長是不是請你評估一下這個離島
transcript.whisperx[228].start 7022.558
transcript.whisperx[228].end 7045.837
transcript.whisperx[228].text 離島用無人機有沒有可能用無人機的業務有沒有用無人機無人機的部分是這樣今年我們有10架無人機4條是在阿里山跟虎頭但是離島有點遠你說離島是本島嗎我跟你講現實的我們的選舉出來了我以前常常敗票
transcript.whisperx[229].start 7051.277
transcript.whisperx[229].end 7069.955
transcript.whisperx[229].text 他在山嶺上只有一戶人家我跑過去一個多鐘頭才會到達以前車輛無法到達以前走路要走起碼三四十分鐘一個鐘頭有的在海邊只有一家你如果用無人機搬一下過去打個電話說
transcript.whisperx[230].start 7072.347
transcript.whisperx[230].end 7094.437
transcript.whisperx[230].text 這個東西大概幾分鐘會到達要取一下就好了你不要遊牧市跑累死啦我們離島遊牧市的兩個腿都跑斷了過去我們曾經試驗過從東港到小琉球但是如果剛才委員談到是在比如說馬祖本地的地方我們進來10架變成20架我們也可以來評估看看
transcript.whisperx[231].start 7099.099
transcript.whisperx[231].end 7128.169
transcript.whisperx[231].text 但是的確就是溫基也有它飛行的一些限制它沒辦法長比如說抗風跟這個長途的飛行這個電池的電力等等的所以我想說今年這個這十架我們會用在四條路線上面去做一些這個試營運跟訓練如果說這個部分訓練差不多或許在後續因為這也是現在增加的重要政策在離島內有些偏遠地方要不要來做這個我們來研究一下
transcript.whisperx[232].start 7128.906
transcript.whisperx[232].end 7152.686
transcript.whisperx[232].text 你評估一下看好不好還有上次我有質詢中華郵政大陸很多郵包可以透過我們金馬小三通到台灣來你們對馬祖地區金門地區這些郵政單位有沒有督促他們看看他們用什麼方式你可以增加一些人力給他們那個錢賺很多
transcript.whisperx[233].start 7156.777
transcript.whisperx[233].end 7162.714
transcript.whisperx[233].text 現在就是看量啦對啊,上次你講了,我沒有看到下文
transcript.whisperx[234].start 7164.595
transcript.whisperx[234].end 7187.087
transcript.whisperx[234].text 沒有動作,到底要不要拖小山東或是直接到台北港因為現在就是那個量,集合郵件的量有多少現在郵務室的工作量蠻多的,你們現在有沒有要求他要幫我們賣高粱酒或是賣什麼沙拉油、賣什麼電機用品,你們有沒有有一些國營單位有
transcript.whisperx[235].start 7189.864
transcript.whisperx[235].end 7201.89
transcript.whisperx[235].text 像我們高粱酒你的業績是不是要賣出來的每個人負責推銷一打沒有的話他自己買下來喝現在我們在各個油酒店賣金門的高粱馬祖的高粱賣不錯你不要強迫他們賣啊
transcript.whisperx[236].start 7208.713
transcript.whisperx[236].end 7234.558
transcript.whisperx[236].text 中華第一有喔中華郵政應該也有喔你不要強迫員工嘛有時候員工我不想喝高粱酒啊你又強迫我們要推銷一個月有沒有要推銷兩打三打這個就沒道理了你們注意一下好不好好 了解那董事長你請回是不是請運安會 林主委
transcript.whisperx[237].start 7238.291
transcript.whisperx[237].end 7266.838
transcript.whisperx[237].text 稍微很快,兩分鐘市委有個事拜託你一下我最近開車我走這個安全設計這個圖示有沒有看到現在這種反光標誌不亮車子過去那個車頭常常會撞到這個頭這裡尤其那個有一個快速道路從哪裡到
transcript.whisperx[238].start 7269.401
transcript.whisperx[238].end 7297.068
transcript.whisperx[238].text 也到淡水,也到關渡那邊北通那邊在橋上的分岔路那很危險耶非常危險現在反光標誌有太陽能的那麼多像路頭這個請你們跟是大安匯報還是哪個匯報大安匯報不是你們嘛你跟他們建議一下好不好這個路頭這邊有一些反光還有那個箭頭啊
transcript.whisperx[239].start 7298.803
transcript.whisperx[239].end 7318.782
transcript.whisperx[239].text 追尋方向有沒有你可以用太陽能的那個標示嘛用一些嘛你用了起碼交通安全有幫助晚上尤其下午或是下大雨根本都分不清楚搞不清楚非常容易出車禍我覺得這一種路標非常好用啊而且也花的錢不多主委可以嗎
transcript.whisperx[240].start 7319.962
transcript.whisperx[240].end 7343.684
transcript.whisperx[240].text 我們建議交通部還有現在我們建議運營所他在做RSA就是道路的安全集合這些意見通通納進來,將來他們會開一個我們有開會把他納進去好不好你想這個如果是太陽能OK啦但他不是太陽能,他反光標誌反光的話那是強力反光你用太陽能裝一個很簡單嘛
transcript.whisperx[241].start 7346.851
transcript.whisperx[241].end 7365.984
transcript.whisperx[241].text 晚上會亮啊,很像苗栗路段就很多啊容易起霧的地方,我們馬祖地界也裝了很多台灣這邊有一些危險區域,危險路段你們可以參考一下這可以請公路局他們把它納入好不好,我們盡量把這個危險性把它減少謝謝謝謝好主委謝謝了好謝謝陳遠山委員的發言
transcript.whisperx[242].start 7372.13
transcript.whisperx[242].end 7393.277
transcript.whisperx[242].text 那我們接下來請徐富奎委員發言那我們先宣告調整一下我們在許志傑委員完之後再休息10分鐘謝謝主席 有請我們交通部吳次長好 我們交通部吳次長
transcript.whisperx[243].start 7404.424
transcript.whisperx[243].end 7417.528
transcript.whisperx[243].text 市長早市長我想您過去在這個交通部一路走來都是我們國內很知名這個軌道建設的一個長才那所以包含你在鐵道局的時候也針對我們這個國內的軌道建設
transcript.whisperx[244].start 7419.629
transcript.whisperx[244].end 7447.001
transcript.whisperx[244].text 也做出了很多的一個努力但是我想知道這個針對我們財化法修正之後去年你有提到說因為我們地方政府獲得的財源這個有增加所以我們交通部針對公建的一個預算從2200億降了被砍了一半 剩下1100億那尤其是編列給地方集運建設的部分也降到只有剩下90億有這回事嗎有 有了
transcript.whisperx[245].start 7449.264
transcript.whisperx[245].end 7463.958
transcript.whisperx[245].text 但是我想這個對於六都來講當然目前我們聽到雙北也好 桃園也好甚至台中也好 台南也好大家都在也都在爭取這個軌道建設尤其是捷運的部分那我們屏東第一條現在還在設計規劃從小港到我們的林邊
transcript.whisperx[246].start 7469.284
transcript.whisperx[246].end 7491.339
transcript.whisperx[246].text 市長 針對這樣的預算的目前的狀況會不會影響到我們 排擠到我們所謂的非六都的一個軌道建設的一個預算我想跟委員報告剛才講115年就是新年度確實當時我們的整個預算2200億大概被紙杯三成大概1100億其中那個結印的部分
transcript.whisperx[247].start 7492.239
transcript.whisperx[247].end 7511.65
transcript.whisperx[247].text 本來應該大概399,它後來變成只有91它主要是因為整個新版財務法的關係那後續我想我們對於所謂沒有軌道的這個建設的這個相關的限制我想我們會應該會擬一套其他的一個方式來看看怎麼樣來增加
transcript.whisperx[248].start 7512.791
transcript.whisperx[248].end 7536.972
transcript.whisperx[248].text 對這個沒有軌道建設的這個我想您本身對於軌道建設有你的專業所以我們目前現在才剛才在省115年的預算那也開始搓手又變116年的預算嘛是不是可以針對屏東縣的部分給予更大力的一個支持可以就我想我們會針對剛講的屏東的部分因為他現在送上我們當然看他的
transcript.whisperx[249].start 7537.612
transcript.whisperx[249].end 7566.872
transcript.whisperx[249].text 目前整個的一個辦理情況 譬如說它的可行性研究現在它的進度配合進度我們再來就編列不然你看到嗎 包含我們現在屏南觀光鐵道我們現在進行中的這個臨遠到我們的臨邊的可行性研究還有最重要我們這個訪寮大平台的一個計畫這都攸關我們整個屏東的一個軌道建設交通的發展也是關於產業的一個很重要的一個升級的一個要項所以這請部長請我們次長一定要來
transcript.whisperx[250].start 7567.732
transcript.whisperx[250].end 7577.197
transcript.whisperx[250].text 支持啦 你來統籌一下我們依照這個相關的進度 我們來編列啦好 次長謝謝 請回謝謝那麼請郵政公司王董事長
transcript.whisperx[251].start 7587.575
transcript.whisperx[251].end 7608.871
transcript.whisperx[251].text 我想剛剛有幾位委員都有特別提到我們這個郵政公司的營運的狀況跟人力的狀況那我這邊要特別再提出一個數據根據我們調閱的資料去年我們郵務的罕見的件數一整年減少了2780萬件那收入更是衰退了3億元
transcript.whisperx[252].start 7609.912
transcript.whisperx[252].end 7637.587
transcript.whisperx[252].text 那從114年到目前為止我們整併的採測了12間的一個郵局那我們從111年我們整個郵政公司的營收一整年有3300多億到隔年就少了800多億那到115年到目前為止也只有剩下1700億我想這個衰退的速度非常的恐怖那董事長未來對於這樣的一個營收的這個
transcript.whisperx[253].start 7638.807
transcript.whisperx[253].end 7663.16
transcript.whisperx[253].text 拓展來源的部分有沒有什麼樣的積極作為現在大概有兩點一個是這個有罕見的減少一個是保衛收入的這個減少這兩部分那目前我們都有一個相對應比如說罕見部分就是轉讓快捷跟包裹這個在進行然後在這個保險的部分現在對於長年期因為
transcript.whisperx[254].start 7664.401
transcript.whisperx[254].end 7685.473
transcript.whisperx[254].text 因應這個這個會計的新制度我們也在進行單中委員報告就是說這裡1.3、1.4、1.5到事實上我們的收入都那個淨利都成長了到1.4已經到了超過百億所以我們有在做調整嗎對對對就是說整個的結構結構然後收入跟這個支出都有在做調整
transcript.whisperx[255].start 7686.292
transcript.whisperx[255].end 7705.501
transcript.whisperx[255].text 我知道董事長上任之後很用心那您過去這個你的專業的部分我想這個把這個整個郵政公司帶上來我們都樂觀其成但是我想還是有幾個問題要請董事長再關注一下剛剛有我們有提到說我們新進的一個同仁他的其實離職率相當的高那另外一個
transcript.whisperx[256].start 7706.201
transcript.whisperx[256].end 7726.143
transcript.whisperx[256].text 我們資深的同仁他也不願意擔任主管職然後甚至委屈他擔任營運的經辦也不願意承擔業績的一個壓力跟管理的壓力有這回事嗎的確現在知己經理找很多人都不願意擔任甚至有的人降調就是這部分我想說這個
transcript.whisperx[257].start 7728.086
transcript.whisperx[257].end 7744.307
transcript.whisperx[257].text 一方面我也在鼓勵我們年輕的這些知識及經理的可能人選就是說如果在整個郵政公司的發展從基層的主管的歷練這是第一層的然後往這個比如說各責任中心取到總公司的歷練是一個很重要的歷練
transcript.whisperx[258].start 7745.589
transcript.whisperx[258].end 7769.44
transcript.whisperx[258].text 然後當然就是說在整個知己裡面他們的最大就是抗業績的壓力很大那這部分我們也要做一些這個調整就是說讓這個知己另外一個是知己經理有很多人他沒有做過很妥善的訓練所以他變成去的時候就沒抗壓性就不足那這方面我也有請人力資源處處長這邊也在做一些相關的一個調整
transcript.whisperx[259].start 7770.56
transcript.whisperx[259].end 7789.882
transcript.whisperx[259].text 董事長我想我們還是有提出幾個想法啦就是第一個是不是嚴你能夠提升我們主管的一個待遇增加這個擔任主管的一個誘因嘛那第二個在一定的期限之內如果沒有擔任我們主管的一些同仁基層同仁是不是有機會來做一個職務的調整讓這些年輕的同仁有機會來擔任主管
transcript.whisperx[260].start 7790.462
transcript.whisperx[260].end 7813.67
transcript.whisperx[260].text 那第三個最嚴重的你看去年光是我們申請這個身心調適價就高達一萬八千多人佔全體員工的七十七八那如何去減輕員工的壓力我想董事長應該要有一個妥善的一個做法啦那最後我想董事長您上任之後目前為止您手邊公司的這個訴訟案件大概有幾件
transcript.whisperx[261].start 7817.168
transcript.whisperx[261].end 7843.569
transcript.whisperx[261].text 大概去年大概有50件現在沒有 現在有67件那今年1到3月就有17件為什麼你們的訴訟案件會那麼多我們很多是被顧客告或是員工告 所以非常多的所以訴訟的案件的內容大概說是什麼案件比較多就是民事的部分 就賠償的部分行政 還有刑事 刑事訴訟也有
transcript.whisperx[262].start 7845.211
transcript.whisperx[262].end 7854.221
transcript.whisperx[262].text 還有一些理業爭議其中理業爭議也是一個部分是董事長那你覺得這個案件這個成長這麼多訴訟案件這個對公司的傾向好嗎
transcript.whisperx[263].start 7856.588
transcript.whisperx[263].end 7876.776
transcript.whisperx[263].text 這個事實上,我發覺現在很容易打官司但是我看中環郵政的官司比例比其他國營事業高更多聽說你的專責單位的主管是負責專門來打官司用的,有這回事嗎?也沒有啦,他事情非常多
transcript.whisperx[264].start 7879.738
transcript.whisperx[264].end 7895.006
transcript.whisperx[264].text 因為我們郵政公司業務規則很龐大有儲售等等的所以它的確在整個訴訟案件裡面的確是比較高一點但是有很多案子就是慢慢把它結案掉
transcript.whisperx[265].start 7895.865
transcript.whisperx[265].end 7919.335
transcript.whisperx[265].text 董事長,目前140件裡面有73件結案,沒有結了67件我是建議,董事長您本身也在公務體系這麼多年,也有當過部長應該是能夠把整個公司的文化體質除了改善之外應該是要跟同仁與人為善,沒理想要受苦而已然後把所有的責任都丟給我們的司法機關去處理我認為這不是一個好現象
transcript.whisperx[266].start 7920.515
transcript.whisperx[266].end 7948.086
transcript.whisperx[266].text 那尤其我想很多可以透過調解協調的部分也應該要這樣減少一個訴訟的一個資源的一個浪費董事長認同這個說法嗎我們現在是被告比較多啦很少我們主動告的然後那個你們喜歡告人家當然是你們案件一定多被人家告被人告不是你們喜歡告人家都有啦我們應該很少告很少很少告人家我想這部分應該是要來減少一下不然這實在是
transcript.whisperx[267].start 7949.286
transcript.whisperx[267].end 7971.718
transcript.whisperx[267].text 我們的職者是要服務鄉親 結果好像是拿來設局我們可以檢討一下啦 但的確就是說他的工作量很大或者透過公共工程委員會或一些民間的一些協調可以來做處理嘛對 有些訴訟案件我們是覺得在像工程會的調解是一個重點啦但是好像你們也不大甩工程會啦對啊常常在工程會調解
transcript.whisperx[268].start 7972.812
transcript.whisperx[268].end 7988.17
transcript.whisperx[268].text 我們還是希望說一個合理的調解我們是先用合理的調解好 董事長那這個部分再麻煩您最後一個我想因為我們下個禮拜也謝謝董事長跟公司下禮拜我們在仿山的加洛車站我們辦一個芒果的寄送服務
transcript.whisperx[269].start 7989.111
transcript.whisperx[269].end 8009.968
transcript.whisperx[269].text 那過去我在縣政府服務的時候也感謝針對我們的這個蓮霧也好或是一些洋蔥也好我們有跟公司有做這樣一個合作我想這對我們偏鄉尤其杭州半島的農民是一個非常非常好的一個措施那未來也期待能夠跟我們的農民還有社會團體來合作強化加強促銷我們屏東的農特產品這沒問題這個我們會全力來協助
transcript.whisperx[270].start 8016.345
transcript.whisperx[270].end 8038.566
transcript.whisperx[270].text 好 謝謝許物貴委員接下來我們請許志傑委員發言謝謝主席我們請郵政我們請中央郵政 王董事長
transcript.whisperx[271].start 8050.324
transcript.whisperx[271].end 8065.27
transcript.whisperx[271].text 謝謝董事長,我們高雄郵政博物館現在都有繼續,假日都有繼續開張所以要謝謝當時你在當部長的時候,那時候我要求的
transcript.whisperx[272].start 8066.87
transcript.whisperx[272].end 8081.318
transcript.whisperx[272].text 現在經過這麼一段時間那事實上也陸陸續續獲得我們高雄不少民眾的誇獎讓孩子們啊喜歡己有的人啊其實有個地方假日都可以去參觀所以這個
transcript.whisperx[273].start 8084.758
transcript.whisperx[273].end 8107.73
transcript.whisperx[273].text 不錯的繼續誇獎繼續下去而且我們是不收賄的對我知道所以如果有一些小朋友可以戶外教學可以去因為之前台北有開放高雄沒有所以我們也一直要求要注重南部注重高雄那現在這幾年來也還不錯所以在這邊也先給我們郵政先感謝跟鼓勵
transcript.whisperx[274].start 8109.831
transcript.whisperx[274].end 8133.839
transcript.whisperx[274].text 當然有做的繼續感謝,沒有做的繼續要求那我們現在其實郵政在世界郵展跟亞洲郵展成果也都還不錯那目前就是世界郵展在2016跟2026這個是世界郵展都在台北辦嘛然後2023亞洲郵展是在台北辦
transcript.whisperx[275].start 8135.421
transcript.whisperx[275].end 8164.408
transcript.whisperx[275].text 那現在2030我們應該有機會爭取到亞洲遊展到台灣那是不是有機會換一個地方我們高雄人也有需要我是很支持的就是說的確過去都集中在台北但是他有一個申請的程序就是不用用主辦程式然後去他叫國際集合聯合會要做一個申請我覺得下一次辦在這個中南部我是覺得可以考慮
transcript.whisperx[276].start 8165.509
transcript.whisperx[276].end 8192.287
transcript.whisperx[276].text 應該要考慮一下因為現在很多不同的部會現在慢慢的高雄我們的活動除了演唱會經濟做得如火如荼之外其他的部分包括觀光署的數位展覽包括鐵路便當包括各式各樣的活動現在我們慢慢的高雄其實越來越多了
transcript.whisperx[277].start 8193.359
transcript.whisperx[277].end 8218.635
transcript.whisperx[277].text 那就是針對遊展的部分我就是希望說爭取啦也要求啦就是這一次2030你們再申請的時候可以做規劃那以高雄為主這樣OK吧好 那個委員已經講了就是我們試一下高雄那個我發現處長可以啦 處長說可以處長說可以 謝謝謝謝謝謝董事長那這個方向我們就以這個方向為主希望能夠落實好
transcript.whisperx[278].start 8219.355
transcript.whisperx[278].end 8246.303
transcript.whisperx[278].text 好那另外就是說郵政事實上也有蠻大的進步因為現在都在轉型嘛現在郵寄的比較少那但是呢現在改物流嘛這個部分跟儲惠這兩個大業務那你們現在物流的業務經過AI的協助應該有蠻大的進步吧是就是導入AI除了這個流程還有在處理構成
transcript.whisperx[279].start 8248.104
transcript.whisperx[279].end 8267.264
transcript.whisperx[279].text 還有這個一些在內部的這些這個管理上面都有導入對我就看到你們這個時間AI助理查詢時間大幅縮短交易風險等等的就是說現在你物流寄到全世界我們已經可以沿路追蹤了對不對對
transcript.whisperx[280].start 8269.057
transcript.whisperx[280].end 8288.413
transcript.whisperx[280].text 所以這個追蹤效果應該還不錯啦對 他可以追蹤 追蹤就是他到哪一個地方可以追蹤那包括除繪成功攔阻詐騙也有成果那針對剛才徐富奎委員提到的就是說有一些訴訟的行為我現在想再問一下就是說以前中華郵政
transcript.whisperx[281].start 8290.325
transcript.whisperx[281].end 8318.722
transcript.whisperx[281].text 有一些比較不優的員工曾經把那個大批郵件就丟到旁邊嘛對不對然後就沒有寄到所以那個就會有訴訟嘛那現在經過AI經過這些不一樣的程序管理有沒有確保就是說我今天中華郵政寄出去的信件或寄出去的物流都可以保證不會被丟到外面
transcript.whisperx[282].start 8320.105
transcript.whisperx[282].end 8344.946
transcript.whisperx[282].text 現在物流在這個部分就是都有這個追蹤但是平線沒有現在平線沒有追蹤系統掛號有掛號有追蹤系統所以如果他丟不過這個我們在內部的SOP裡面會規範我這邊特別提醒董事長這一部分有沒有機會因為平線當然平線只是時間比較久不應該丟
transcript.whisperx[283].start 8347.056
transcript.whisperx[283].end 8372.475
transcript.whisperx[283].text 那現在民間有很多郵寄公司啦那當然我們要人民要用民間的郵寄公司或是用我們中華郵政最大的差別當然就是我們中華郵政的保證嘛所以平信是不是將來有沒有機會納入追蹤系統就是說我至少我只要到中華郵政掛號的信件我就不會丟掉
transcript.whisperx[284].start 8374.219
transcript.whisperx[284].end 8392.272
transcript.whisperx[284].text 因為當時就是收掛澳費我們現在掛澳費都收20塊就是說這個就是類似這個成本讓他能夠全程追蹤所以我們是因為憑信你知道現在節目費是8塊所以在的確沒有這樣的一個服務但是
transcript.whisperx[285].start 8399.317
transcript.whisperx[285].end 8425.867
transcript.whisperx[285].text 這個郵件有沒有這個丟掉我們是可以去查詢就是我們可以去追蹤但是它不像過號性可以全程追蹤我知道我現在就是環繞啊我現在就是怕平時我環繞會沒起來你要刮好要刮好刮好那是成本問題啊我這樣建議啦我覺得是有機會的就是說你不見得每一個暗戶追蹤但是今天我
transcript.whisperx[286].start 8426.987
transcript.whisperx[286].end 8456.127
transcript.whisperx[286].text 郵政車出去 郵差出去我一定會有騎車 我一定會有GPS你懂我意思嗎我們就一下啦 但是的確我們在費用方面就這樣分級 把它分級費用當然是分級啦 這個我知道啊不然我就掛貨就好了但是我如果要寄大量的當然掛貨要多花很多錢啦那以人民的角度就是說我送達 但是我不在意速度
transcript.whisperx[287].start 8457.267
transcript.whisperx[287].end 8483.856
transcript.whisperx[287].text 但是我只要送達那今天我知道你們每個地方都有去分層嘛就是說我這個信件到哪個至少我到了郵局一定是沒問題嘛那我到郵局沒問題我這些信件寄出去的時候我可以把這個信件即使是平線我可以做一個那個掃描或什麼樣的動作我知道這些信寄去哪裡嘛那我用GPS就可以知道我這一輛車出去
transcript.whisperx[288].start 8486.634
transcript.whisperx[288].end 8504.904
transcript.whisperx[288].text 到底有繞了很多的地方還是我繞到點就不見了東西就不見了我覺得那個是雖然我沒有辦法暗戶去像掛號那麼精準但是我越列可以從這個甚至AI system應該可以做啦
transcript.whisperx[289].start 8506.367
transcript.whisperx[289].end 8518.681
transcript.whisperx[289].text 你懂我意思嗎 我覺得研究一下我覺得這個是有機會可以做的就是說我不見得精準但是我知道我這部車出去我走了哪一些線路那你就不敢亂丟啦
transcript.whisperx[290].start 8521.238
transcript.whisperx[290].end 8541.808
transcript.whisperx[290].text 對,這個部分我剛剛講這樣,就是說這是SOP裡面包括我們的這個機場,它來管理這個油污室的這部分這部分是有啦,但是沒辦法個別每一方去追蹤,因為它是不用不用不用,其實你,我這一批,我這一批出去,比如說我有一千個平線,那我這個點
transcript.whisperx[291].start 8545.149
transcript.whisperx[291].end 8560.566
transcript.whisperx[291].text 他走的點你只要GPS去qualify其實是可以知道我不見得確定每一戶每一封信但是我這一千封信他走到哪裡有哪些路線我只要有追蹤回來
transcript.whisperx[292].start 8561.627
transcript.whisperx[292].end 8583.24
transcript.whisperx[292].text 他就不會亂丟啦我們試一下這種比較大批的基建這種我覺得這個是讓人民對中華郵政的信任度嘛跟一般的民間的公司不一樣的地方那這個讓我們有信任度的話以後我們大批的都其實以前都是用中華郵政啦但是就是曾經遇到好像有些人沒收到好像不少人沒收到
transcript.whisperx[293].start 8583.98
transcript.whisperx[293].end 8608.286
transcript.whisperx[293].text 我正好那時候也沒有去訴訟啦想說過了就算了啦但是我想到這是人民的權益啊現在委員還是拿回來給我們送好了好不好這個希望說我們把那個人民的權益顧好把中華郵政的信任度讓全民可以信任所以這個部分如果再多做的話我想這是一個中華郵政不一樣的改革是不是有機會可以研究一下把它完成
transcript.whisperx[294].start 8610.186
transcript.whisperx[294].end 8628.526
transcript.whisperx[294].text 下一次再問董事長看有沒有想法出來了啦現在先拋出問題嘛我提出一個簡單的解決方案嘛那研究一下看可不可行好 我了解好不好好 謝謝好 謝謝許志杰委員謝謝王董事長我們現在先休息十分鐘
transcript.whisperx[295].start 9235.103
transcript.whisperx[295].end 9238.445
transcript.whisperx[295].text 好 我們現在繼續開會我們接下來請陳青龍總召發言好 主席 麻煩邀請我們中華郵政我們王總市長好 請王董事長
transcript.whisperx[296].start 9264.473
transcript.whisperx[296].end 9289.183
transcript.whisperx[296].text 謝謝陳總長好王董事長早在這裡我先點出跟董事長特別做一個報告我們中華郵政對我們的一個活化的土地就是顯智資產的一個活化運用我認為是績效不髒績效不髒因為從審計部
transcript.whisperx[297].start 9293.178
transcript.whisperx[297].end 9311.475
transcript.whisperx[297].text 2025年公布113年的一個決算報告我們中華郵政公司還有將近7萬8千多坪的土地顯示惡火化那這個部分從111年就是2022年一直到2024年
transcript.whisperx[298].start 9316.099
transcript.whisperx[298].end 9341.052
transcript.whisperx[298].text 三年的期間我們的一個土地質產的火化從八萬三千平方公尺左右到火化到三年時間只降到七萬八千多平方公尺也就是說三年時間我們火化的面積才差不多一千三百坪左右
transcript.whisperx[299].start 9341.892
transcript.whisperx[299].end 9363.972
transcript.whisperx[299].text 所以我在這邊就指出根據審計部的資料我們對我們的閒置資產的一個活化我們的績效非常的差這一點我在這邊特別跟董事長特別來提出那也因為我們對活化資產的效率這麼差我這邊就舉兩個例子
transcript.whisperx[300].start 9366.394
transcript.whisperx[300].end 9385.947
transcript.whisperx[300].text 在台中、在馮園、在我的這個選區裡面我們中華郵政有一塊土地就是在馮園火車站的一個站前這個最精華的土地我們規劃了一個複合式的三里大樓
transcript.whisperx[301].start 9388.089
transcript.whisperx[301].end 9410.77
transcript.whisperx[301].text 這個在2020年我們就開工2020年就開工那時候我們投資了將近11億、11億多億那依據2023年就要來完工而且在開工之前中華郵政也已經
transcript.whisperx[302].start 9412.421
transcript.whisperx[302].end 9437.383
transcript.whisperx[302].text 招商完成就是在這一個這一個要作為我們的一個複合式的商禮大樓之前我們招商也已經招好了但是在這個過程當中從2023年要完工到現在已經是2026年了我還沒有看到完工的跡象甚至在2026年的2月9號
transcript.whisperx[303].start 9441.406
transcript.whisperx[303].end 9458.541
transcript.whisperx[303].text 還在辦理第六次的設計變更那我請問我們王董事長這個案子我記得我也曾經來跟你提過在台中豐原最熱鬧的地方我們期待這個護核式的產物大樓這麼久的時間一直延長我們的問題出在哪裡是
transcript.whisperx[304].start 9465.828
transcript.whisperx[304].end 9481.033
transcript.whisperx[304].text 我跟陳委員報告,109年7月3日就開工了目前完工是定在6月30日但是這是外表完工,裡面還要格賴天央他們還會再做一些
transcript.whisperx[305].start 9489.216
transcript.whisperx[305].end 9514.736
transcript.whisperx[305].text 這個案子我之前就有跟你提過到現在你還沒辦法答覆出來就代表你對整個案子的一個追蹤跟了解當初你也承諾你有答應這個案子你會納入你的這個特別的一個了解到目前為止你沒辦法掌握我只問你六月能完工嗎六月能夠取得使用執照嗎
transcript.whisperx[306].start 9516.728
transcript.whisperx[306].end 9534.48
transcript.whisperx[306].text 不可能嘛你不用講不可能嘛因為你還在做設計變更嘛所以根本不可能取得使用執照所以你的完工又是在欺騙我們大東原區的一個民眾嘛我們引請期盼希望
transcript.whisperx[307].start 9535.561
transcript.whisperx[307].end 9559.409
transcript.whisperx[307].text 有這樣的一個新的複合式商旅大樓帶動風源的觀光休閒整個餐飲整個這個經濟的一個帶動結果拖了三年還沒辦法完工沒辦法啟用這個進度的落後我在這邊真的要提出來
transcript.whisperx[308].start 9561.215
transcript.whisperx[308].end 9582.222
transcript.whisperx[308].text 我一定要拜託我們中華郵政這個案子一定要加速去處理為什麼我們這個當初啊我們中華郵政也考慮到這個是戰前嘛火車戰前停車的需求我們總共額外加挖了一層地下樓層增加了180個停車位
transcript.whisperx[309].start 9585.963
transcript.whisperx[309].end 9609.701
transcript.whisperx[309].text 這個也是要解決當地交通重點的一個停車問題但是到目前為止已經又拖了三年停車的一個緩解空間還是沒辦法解決所以在這裡特別跟我們王總市長來表達我們地方的一個急迫性另外我說我們的一個土地資產
transcript.whisperx[310].start 9610.962
transcript.whisperx[310].end 9631.261
transcript.whisperx[310].text 的一個活化的效益部長一樣在豐原荒豐原就有第二個案子我們豐原的遊取大樓也是在我們豐原最熱鬧的種生物結果你已經豐了幾年了至少豐了今年也算是第三年了放在那邊都不動
transcript.whisperx[311].start 9632.262
transcript.whisperx[311].end 9651.981
transcript.whisperx[311].text 然後既有的遊物大樓你不使用你還中華郵政還去陳租其他的辦公場域啊來去陳租開租金去做一個空間來做遊物大樓自己的大樓放著閒置三年不用
transcript.whisperx[312].start 9653.543
transcript.whisperx[312].end 9672.25
transcript.whisperx[312].text 這個案子我也跟總市長提過啊,也沒有任何的答案啊,任何的進度啊所以我們的一個資產營運處這邊,我就不曉得我們的效率在哪裡上次拜訪你已經提到,事實上我在追蹤啊
transcript.whisperx[313].start 9674.873
transcript.whisperx[313].end 9687.45
transcript.whisperx[313].text 這個豐原佔領大樓它的確我剛才講是外面整個工程完工是在6月30但是他取的實照是在明年的第一季明年的第一季等於到2027年了的確過去了
transcript.whisperx[314].start 9689.793
transcript.whisperx[314].end 9708.051
transcript.whisperx[314].text 過去你看現在原當多少年2023要使用要開幕的現在要到2027年的第一劑會不會如期我們還沒把握對這個我在盯啦就是說過去的這段時間遇到疫情他們包括不能用疫情做理由啊
transcript.whisperx[315].start 9708.911
transcript.whisperx[315].end 9717.515
transcript.whisperx[315].text 現在他們的答案在過去就是大概是疫情期間包括這些好 那個我是講過時間有限我就提這兩個活化閒置的這樣的一個消息麻煩我們中華有證消息要拿出來
transcript.whisperx[316].start 9725.959
transcript.whisperx[316].end 9744.887
transcript.whisperx[316].text 另外我在這邊也要反映我們對我們的遊物這個同仁輪胎品質台南高雄產生這個問題我剛剛也有聽到總市長這邊也有答詢我們其他的委員同仁但是我在這邊我要指出一個問題
transcript.whisperx[317].start 9746.607
transcript.whisperx[317].end 9763.233
transcript.whisperx[317].text 這個都是公開招標明明在招標文件裡面他的產地註明了就是在我們高雄的這個標案那個原產地國別就註明了中華民國就註明中華民國
transcript.whisperx[318].start 9764.033
transcript.whisperx[318].end 9783.953
transcript.whisperx[318].text 台南的標案就原產地住民泰國但是最後兩個標案是同一個廠商得標同一個廠商得標所以交的貨品是越南的製造這樣明明跟採購法跟我們的一個合約
transcript.whisperx[319].start 9785.254
transcript.whisperx[319].end 9791.379
transcript.whisperx[319].text 不如 明明要買台灣的 要買中華民國的 要買泰國的 還要交給什麼人這個在我們的禮約 在我們的驗收 有問題嗎這個應該要去了解
transcript.whisperx[320].start 9801.285
transcript.whisperx[320].end 9821.09
transcript.whisperx[320].text 他那個的確他的問題在於就是說這一批他是用最低價對所以他因為最低價所以他用像別國的這個輪胎這個部分我已經請他第一個現在再用了把它換掉第二個就是未來是往這個最有利標來執行
transcript.whisperx[321].start 9823.251
transcript.whisperx[321].end 9844.377
transcript.whisperx[321].text 要照顧我們油庫同仁的安全確保我們油庫服務者的一個品質好不好像這樣用類似輪胎在郵差每天在外面這樣騎著我們的油庫車輛騎車這樣走安全的部分我們要幫他考量好不好
transcript.whisperx[322].start 9846.518
transcript.whisperx[322].end 9858.544
transcript.whisperx[322].text 所以以上幾點請我們王董事長能夠來督促我們中環郵政來改善預算我們要來支持也才有理由嘛對不對好謝謝好謝謝我們陳慶隆總召也謝謝王董事長接下來我們請魯明哲委員發言
transcript.whisperx[323].start 9878.091
transcript.whisperx[323].end 9884.604
transcript.whisperx[323].text 好 謝謝主席一樣是有請我們中華郵政王董事長好 我們請王董事長
transcript.whisperx[324].start 9891.288
transcript.whisperx[324].end 9914.095
transcript.whisperx[324].text 董事長 王董事長你去中華郵政幾年了一年多幾年一年多一年多嘛快兩年了應該兩年了吧八月就兩年了其實對我來說對你期待蠻多的這個中華郵政大家號稱百年大殿這個百年大殿 百年老殿 百年風華
transcript.whisperx[325].start 9915.675
transcript.whisperx[325].end 9937.36
transcript.whisperx[325].text 如果說很多的百年老店在全世界企業上很多就領一塊牌匾就回家了但是你是公家機關百年風華我們希望你部長級對不起你交通部長帶過去的是很多的看法很多的變化你是不是被同化了
transcript.whisperx[326].start 9938.7
transcript.whisperx[326].end 9961.471
transcript.whisperx[326].text 你覺得你是有帶去變化還是自己被同化了因為我覺得莫名其妙在我今天主題不是這個我衝力要蓋一個拖個三年幾年剛剛講風源也拖然後輪胎也我覺得對於你當過交通部部長處理比這個大十倍百倍的一個預算案我們真的是希望你在這個老組織裡面
transcript.whisperx[327].start 9963.812
transcript.whisperx[327].end 9975.145
transcript.whisperx[327].text 沒有帶去改變的話百年老店剩下的是固步之風墨守成規能不能迎合這個時代的一個變化是一個很大的問題啊那我首先
transcript.whisperx[328].start 9977.681
transcript.whisperx[328].end 9997.001
transcript.whisperx[328].text 這兩個月 兩個新聞首先第一個是台灣郵局撐不下去收入暴跌3億 連收12家那有收到我快中壢的中壢郵局也通知我準備要收店了請問一下 這你帶過去的是不是第一個業績未來三年還要收幾家
transcript.whisperx[329].start 9998.242
transcript.whisperx[329].end 10024.751
transcript.whisperx[329].text 你就說一下你知不知道還是都不清楚未來現在規劃還要繼續收的裁測的支局有幾家目前已經收了14家但是14家這是因應就是說萊克減少就是說現在都用網路然後他鄰近的這個郵局很近在這個狀況下把他收掉這個事實上不只中環預計還要合併的大概有幾家會裁掉
transcript.whisperx[330].start 10025.211
transcript.whisperx[330].end 10048.928
transcript.whisperx[330].text 他現在就是有案子就提啦現在還在討論好 所以還不知道所以這是你的遊誤嘛那第二個呢那今年去年大賺錢啦這個我是要恭喜啦那整體就本業虧到這樣的但是大賺錢那是你們的能耐嘛那員工可以領這員工的福利我覺得非常好當然我們可以去猜到
transcript.whisperx[331].start 10050.109
transcript.whisperx[331].end 10060.602
transcript.whisperx[331].text 猜到這個的部分你們110年到114年的營收衰退的一個相關的幅度我們發覺你的本業啦不管是遞送的業務 郵務匯兌跟檢疫授權的部分
transcript.whisperx[332].start 10064.927
transcript.whisperx[332].end 10081.441
transcript.whisperx[332].text 都是下跌的狀態那賺錢賺大錢超過100億主要的來源當然儲經的業務手續費的收入還有你剛剛講很多的一個資產甚至不動產一個租售相關的合作的一個業務另外資金運用資金運用
transcript.whisperx[333].start 10083.627
transcript.whisperx[333].end 10100.433
transcript.whisperx[333].text 這要看市場除了這麼多錢除了法定不能動的你們拿去市場運用本來是合法的本來就合法的那可是你的願望事實上跟我們一樣嘛我看到你的一個專業報告你說你今年的最大的目標其實跟我一樣
transcript.whisperx[334].start 10101.273
transcript.whisperx[334].end 10117.755
transcript.whisperx[334].text 還是以本業為重就是要主打遊物、儲惠跟售險三大業務但我今天算是一個提醒因為我真的是不希望不希望說中華郵政走向完全的台塘化
transcript.whisperx[335].start 10118.456
transcript.whisperx[335].end 10141.185
transcript.whisperx[335].text 台糖化 結果弄到最後台糖也不生產 痰了剩兩場 它剩兩場也不完 沒有痰了大概不動產的一個槓桿的一個操作租售合作為主變成一個土地開發的公司所以你們在這整個一個過程中面對了很多一個挑戰我真的是希望
transcript.whisperx[336].start 10142.305
transcript.whisperx[336].end 10167.695
transcript.whisperx[336].text 你們的很多的一級主管一級主管百年老店我曾經溝通幾次我發覺對於新的觀念新的知識我覺得真的有時候我自己感覺是密不透風但是你要帶著兩萬多人往哪裡衝呢往哪裡衝呢什麼不要台湯化的意思呢台湯在四五十年前在他本業
transcript.whisperx[337].start 10168.695
transcript.whisperx[337].end 10197.368
transcript.whisperx[337].text OK的時候他有一萬多員工啊為什麼都要去第一線耕耘嘛那到現在為止剩三千一百三千個員工那一樣啊你現在最主要的一個郵務第一線的這麼辛苦的他們大概百分之四十五四十七一萬多個那未來你病病病沒有人朝你去寄信大家走社群軟體直接通訊軟體小包你又搶不到
transcript.whisperx[338].start 10198.53
transcript.whisperx[338].end 10213.856
transcript.whisperx[338].text 對不對 國際包裹你們現在整個都萎縮你本業真的萎縮完之後我是擔心啊你缺位機會會越來越少你有沒有這種擔心是是 我跟我的報告就是說的確我看到他們本業衰退這部分
transcript.whisperx[339].start 10214.716
transcript.whisperx[339].end 10234.859
transcript.whisperx[339].text 那油脂減少主要是性寒就是每一年都是非常大的這個下降然後簡易受險也是他們在過去我也看到他衰退的一部分但是第一個就是說整個把性寒轉到包裹快捷現在已經有一點成績出來的
transcript.whisperx[340].start 10235.399
transcript.whisperx[340].end 10250.762
transcript.whisperx[340].text 所以我想說我去中環遊鎮最重要的就是轉型這個轉型然後在受險部分事實上現在希望是在數位跟網路投保部分把它加強還有一些好的產品那的確在中環遊鎮我去的時候發覺他本業
transcript.whisperx[341].start 10252.323
transcript.whisperx[341].end 10276.381
transcript.whisperx[341].text 這個除金以外其他都有衰退的現象那在過去一年的努力事實上都有進步 已經有進步了比如說郵件部分快捷已經增加27%了就是已經轉 已經開始在轉但是這個的確需要時間就包括今天早上這麼多委員在談人力的確在人力配置為了要配合這個調整的確有一個時間差但是我是覺得我們中環郵政的員工很優秀應該會面臨這個轉型來 這個董事長
transcript.whisperx[342].start 10281.084
transcript.whisperx[342].end 10301.045
transcript.whisperx[342].text 我看到我們基層的中華郵政員工真的非常認真非常辛苦這個東西我跟你的想法是一致的但是關鍵是你火車頭你帶他往哪裡跑就往哪裡跑嘛其實這市場已經是瞬息在變譬如說你那郵箱當年講到我是不是跟蝦皮訂點合作隨便找一家跟他合作
transcript.whisperx[343].start 10302.346
transcript.whisperx[343].end 10329.719
transcript.whisperx[343].text 到最後變成你的你們一人一半我的意思是說你們現在的在處理這些人員是遠遠都沒有這樣的市場性的一個想法我到底要怎麼樣一個合作我自己獨立吃不到沒關係我如果合法 合情合理我跟業界很亨的這麼多家我跟他一家合作對他有好處 對我有好處你們從來不可能我在跟你們幾個處長副處長在溝通任何的變化的時候就抱歉
transcript.whisperx[344].start 10330.379
transcript.whisperx[344].end 10357.69
transcript.whisperx[344].text 我們民國60年 70年我們就這樣幹的我覺得你們這個本業再死古不化我建議你用一些新人我知道你們中華郵政是年功制日本的年功制就一步一腳印一步一步向上爬可是這個時代已經沒有辦法了你不能夠這樣低著頭往上爬看不見外面那個變化你爬到那個位置之後帶領這個團體是整個往後爬那我再想一下你們現在的
transcript.whisperx[345].start 10358.69
transcript.whisperx[345].end 10371.286
transcript.whisperx[345].text 族會業務我也蠻擔心的到底時代變了因為你們郵政業務過去十年最大的小包你們也搶不到夯得要死你說疫情帶來很多不好的事情那包裹是大爆發
transcript.whisperx[346].start 10373.829
transcript.whisperx[346].end 10396.222
transcript.whisperx[346].text 你們也沒講到現在有專家現在有那我先恭喜你你這個現在整個廚會不管是有些直接網營我不知道你們嗅覺嗅到沒有我坦白講我們家裡都有你們的一個帳戶因為我們覺得那邊很安穩可是你覺得這百年老店一貫的思想我就靠這個
transcript.whisperx[347].start 10397.643
transcript.whisperx[347].end 10416.341
transcript.whisperx[347].text 一朝兩世就準備再弄個十年二十年我覺得真的非常非常危險你們現在推動數位賬戶的情況開戶包括公司開戶個人開戶兩千九百多萬戶啦超越我們的人口嘛因為還有公司啊法人啊都有嘛
transcript.whisperx[348].start 10417.321
transcript.whisperx[348].end 10442.286
transcript.whisperx[348].text 比例就差不多很穩定都超過2900萬可是你110年來推動數位帳戶從數位去操作的這個部分推了到現在4年4年你看那個比例不好意思我是幫你放大700倍這條線才能夠線出來不然這條到4.23萬戶這是秀不出來的所以它的整體涵蓋率是你自己的客戶願意去辦的
transcript.whisperx[349].start 10444.407
transcript.whisperx[349].end 10464.167
transcript.whisperx[349].text 大概不到0.2%那我就覺得很奇怪我建議你們要思考一件事大家很多孩子我們都有出過國有些去那裡做事業的你隨便去問問歐美國家先進國家坦白講還說我們是AI王國IT王國台灣
transcript.whisperx[350].start 10465.268
transcript.whisperx[350].end 10491.65
transcript.whisperx[350].text 到國外我跟你講如果是2900萬是數位帳戶領不到資本的領不到資本的最多給你一張體卡簽帳卡結束就這樣的真的你們現在整個倒過來這樣運作你們覺得運作很順嗎這個你們自己去思考啦完全跟整個大勢逆勢而為你們也不想加就是無所謂少點業務嘛對不對那可是有個問題點
transcript.whisperx[351].start 10493.396
transcript.whisperx[351].end 10499.728
transcript.whisperx[351].text 你們現在推了4年才4萬多戶用數位帳戶結果有人要進去你不讓他進去啊
transcript.whisperx[352].start 10500.734
transcript.whisperx[352].end 10524.414
transcript.whisperx[352].text 我們規劃為中華民國籍的人士不能開立數位賬戶其實你在國外先進國家他是不可能的你拿到中華民國的一個身份證之後這個他要做一些生活上的一個運用你們居然說不行啊董事長我上次電話跟你說囉到前天為止在數位去操作的時候
transcript.whisperx[353].start 10525.615
transcript.whisperx[353].end 10545.516
transcript.whisperx[353].text 我們整個原本台灣人都可以但是規劃的到目前為止所有的外籍加陸配總共加起來接近30萬人左右你們給他就是抱歉不行啊不行那現在到底什麼狀況請你說一下這個事情我跟我們除非處長討論大概今年年底會開放會開放
transcript.whisperx[354].start 10547.017
transcript.whisperx[354].end 10563.76
transcript.whisperx[354].text 那的確啦就是說數位帳戶在很多的金融單位它事實上跟我們一般帳戶的網路銀行非常類似所以它的確在包括中華郵政沒有把它當一個很重要的業務但是如果從這個增加
transcript.whisperx[355].start 10564.981
transcript.whisperx[355].end 10581.477
transcript.whisperx[355].text 這個我們的戶數這方面是可以來增加那外籍規劃人士的部分現在已經在我覺得這個東西因為已經真的很離譜因為已經非常久了你們我問完之後你給我兩個理由你說因為要繳的文件比較多比較複雜這什麼理由啊
transcript.whisperx[356].start 10584.875
transcript.whisperx[356].end 10611.407
transcript.whisperx[356].text 第二個因為我沒有辦法在現場確認文件的真偽結果這個跟我曾經的人他已經拿到中華民國身份證15年了他是銀行開電子數位沒問題股市OK健保卡駕照都OK舉重以民輕嘛你怎麼會郵局進不去我希望你們趕快去處理啦那我想這樣時間到了我其他就不講了謝謝
transcript.whisperx[357].start 10615.717
transcript.whisperx[357].end 10637.708
transcript.whisperx[357].text 好謝謝魯明真委員的發言謝謝王董事長好請黃建豪委員發言好謝謝主席主席我們要請莊永正王董事長
transcript.whisperx[358].start 10646.937
transcript.whisperx[358].end 10668.248
transcript.whisperx[358].text 趙偉好總長這個周浩雄大家就非常關心你們的營運狀況我想整體來講喔現在陸陸續續在關這個所謂實體郵局那當然原因是因為你們提到說這個核心業務不然就郵務的部分年收衰退3億啦就這個壓力追年要把它關掉可是回到現實面你看到一下也不是這個原因啦媒體報導這樣寫沒關係我們還要討論別的問題就是說
transcript.whisperx[359].start 10671.149
transcript.whisperx[359].end 10686.52
transcript.whisperx[359].text 整體來講其實你整個的在郵務部分不然罕見包括快捷郵件你整體雖然量是減少可是你的營收它是增加的嘛增加了4億多嘛對所以你的營收整體是增加在這個業務上你是增加的是增加可是在這個情況下面你現在要把你的通路關掉所以我覺得在
transcript.whisperx[360].start 10687.521
transcript.whisperx[360].end 10707.353
transcript.whisperx[360].text 從公司經營角度來講 我覺得個人覺得不太能理解一方面是說 你的通路 你本來就已經沒有比什麼便利商店來得多了甚至是像蝦皮等等的很多的路邊店他可以去收件跟寄件那你們第一個邮局的你們本身你們實體的所謂的據點就沒這麼多那在同時間你又再陸續把這個東西關掉
transcript.whisperx[361].start 10711.815
transcript.whisperx[361].end 10732.081
transcript.whisperx[361].text 那郵局除了郵務業務之外其實有很多是偏鄉或是說民眾習慣的這種消費或是民眾習慣信賴的管道你把這樣的東西關掉所以我覺得對民眾會有一個現實的問題就是說他不知道去哪裡找到去找郵局那另外一個問題就是說其實我覺得要去中國人身上也要去思考你們整體來講你們的資產有八兆
transcript.whisperx[362].start 10733.035
transcript.whisperx[362].end 10749.333
transcript.whisperx[362].text 那你們的現金流從去年的財報看有100多有103億的現金有些現金有103億所以其實你們的資產規模跟你們現金都比檯面上商界目前所有的物流公司或者這些電商 郵購公司你的資產或者是你的現金都比他還多
transcript.whisperx[363].start 10750.094
transcript.whisperx[363].end 10765.495
transcript.whisperx[363].text 所以理論上你應該如果要把這個業務發展好的話因為你現在既然你的油屋的所謂傳統興建的這個收入在減少那你們也那天之前你們來跟我聊的時候想說你們要去發展所謂的快捷去發展包裹這一塊可是你要做快捷你要做包裹那你就要有據點啊
transcript.whisperx[364].start 10766.792
transcript.whisperx[364].end 10791.055
transcript.whisperx[364].text 所以你自己把據點收掉那同時你又沒有去跟業界做合作的話那請問一下你要去哪裡收這個快捷包裹這種實體的活物你要去哪裡收是 跟趙報告就是說中華為政本來是有1296個局啊對那您知道那個大概你看到台灣銀行土地銀行都沒有超過200家所以我們當時是一箱至少一個局那現在一箱不只一個局啊
transcript.whisperx[365].start 10791.676
transcript.whisperx[365].end 10805.503
transcript.whisperx[365].text 那現在這個在過去我們也做一些討論就第一個有些舉的環境這個已經不大好比如說他停車的環境或是這個房屋的一些狀況不大好那後來我們就覺得這個現在面臨這個到
transcript.whisperx[366].start 10808.544
transcript.whisperx[366].end 10824.072
transcript.whisperx[366].text 實體的這個知己的人數減少所以這個也是在我們經營這個改革的一部分我們是合理的減少沒有說好像有一個目標就要一直減少來董事長合理的減少你剛剛提到什麼台灣銀行土地銀行那個是單純就金融業務的部分但是我們今天講的是
transcript.whisperx[367].start 10825.713
transcript.whisperx[367].end 10840.583
transcript.whisperx[367].text 剛剛報告說吳俊哲有提到金融業務你們目前看起來你的量你的這個業績可能也比不上一般銀行業但是你們現在實際上你們在中華郵政你們業務上在增加實際上有收入的是指剛剛提到的包括你們自己的報告裡面提到是這種包裹跟快捷
transcript.whisperx[368].start 10841.721
transcript.whisperx[368].end 10857.038
transcript.whisperx[368].text 那幫我跟會員解釋大家為什麼去找郵局記他不會去找黑貓不會去找蝦皮不會去找大樓或微信或來記因為很多民眾他是相信郵局的效率他相信郵局有最後最終保證責任嘛所以大家當然想要找郵局所以我今天提到說你今天
transcript.whisperx[369].start 10857.859
transcript.whisperx[369].end 10877.459
transcript.whisperx[369].text 你的定義到底是你們到底是金融機構呢還是說你們要把你們的重點業務放在像這種傳統的寄送郵件快捷跟包裹這些事情上面如果今天你們是要把你的重心放在快捷放在包裹這一類的這樣子的業務上面那你反而把實體店面實體的這個據點你把它收掉了
transcript.whisperx[370].start 10878.16
transcript.whisperx[370].end 10898.176
transcript.whisperx[370].text 那你的替代方案是什麼還是說你就把它收掉之後沒有替代方案那這個區域的人他是不是他就去找民間業者就不會找你們那你們這個營收不就又減少了嗎那這樣對公司長遠的經營是會影響的現在就是說是他們在把一個邮局我們叫整併啦沒有消滅就是說他會整併到鄰近的一個支局
transcript.whisperx[371].start 10898.917
transcript.whisperx[371].end 10923.202
transcript.whisperx[371].text 那他們是經過很多的評估包括剛才談到不管是油廚售來客在某些局是量是非常少的這時候他就鄰近可能是1到2公里地方有一個肢體在那個地方所以說把業務把它轉過去那剛才談到的就是說這個據點的部分我們現在是用上收的這種方式這意思是說你只要是大宗的
transcript.whisperx[372].start 10923.962
transcript.whisperx[372].end 10944.033
transcript.whisperx[372].text 我是派人去主動到你那個地方收過來這意思是說這個郵局的這個距離也不是已經也不是不是問題了他鄰近縱然是一點都我們人還是去去把尤其是小電商把他上說但是這一個在事實上我看到各個金融機構我看到談到的都在減
transcript.whisperx[373].start 10945.134
transcript.whisperx[373].end 10959.286
transcript.whisperx[373].text 我看那個圖片好像撿了時間啊沒有 董事長沒關係我今天沒有要跟你談金融我沒有要跟你談金融這個就是說也是一個趨勢啦一個趨勢是我現在今天提出來主要說你們要去思考說我剛剛提到很重要的前提是你們資產是八兆對
transcript.whisperx[374].start 10960.367
transcript.whisperx[374].end 10975.906
transcript.whisperx[374].text 你們現金有100億多億你們比檯面上所有的這些做物流的做快捷的這些公司都還多所以你該思考說你今天把這個實體據點收掉之後未來就像剛剛魯明哲委員所說的那你有沒有要找業者業界去合作去收件
transcript.whisperx[375].start 10976.627
transcript.whisperx[375].end 11002.19
transcript.whisperx[375].text 或是用什麼方式去取代掉你把這個實體店面你把這個實體據點收掉了如果我想找魷魚記我要去哪裡或是我要用什麼管道有通路在哪裡我覺得這個是因為你們營收如果看起來明顯的嘛你們傳統的郵件是下降可是你們最好是賺錢賺錢來自哪裡就是快捷跟包裹嘛那大家現在都在搶這個市場那你們作為這個關股的這個民營公司我們當然希望說你能夠把這個部分把它做好所以據點
transcript.whisperx[376].start 11003.391
transcript.whisperx[376].end 11030.492
transcript.whisperx[376].text 你們要怎麼去做結合這個是我覺得未來公司應該要去思考的吧好就是這個服務不打折這部分我們我們事實上他們有一些考慮啊那看有沒有哪些服務不周到的地方我們再來處理好再來是IoGo的問題我想之前也有很多人討論這個問題就是說其實你們想做轉型可是IoGo你的員工內部員工自購就佔了近五成了等於說你在市面上你跟外界競爭的競爭力是不足的所以才必須透過這個員工去自購
transcript.whisperx[377].start 11032.421
transcript.whisperx[377].end 11044.586
transcript.whisperx[377].text 那這個東西推出來花了這麼多錢花了六點多去建置那結果有一半以上都是靠員工在自購這第一個當然過去有些媒體有爆料或是有提出來有貼出來說員工有覺得有點壓力壓力處理這個業績的問題那在實際面上到底你最阿油購的部分
transcript.whisperx[378].start 11051.089
transcript.whisperx[378].end 11080.029
transcript.whisperx[378].text 你們要怎麼去讓民眾去適應或是喜歡你使用這東西那如果這個服務如果不好或它沒有實際達到你本來的效益的話你要趕快把它收掉這到底你們對愛宇哥外的評估是什麼是像我們現在愛宇哥定位是成為台灣最有特色的一個網路過戶平台所以它裡面的項目不要求多但是它也要求有特色啦比如說各地的這個伴手禮還有各地甚至我們現在也有很多跟宮廟合作的一些
transcript.whisperx[379].start 11081.129
transcript.whisperx[379].end 11092.976
transcript.whisperx[379].text 這個文創的一些商品等等都會在這裡面然後我們這個對偏鄉的小農的把這個比較好的小農把他引進到我們的這個平台裡董事長這個沒問題這個在你們105年度2010年剛開始弄這個事情的時候你們的目標
transcript.whisperx[380].start 11096.838
transcript.whisperx[380].end 11118.557
transcript.whisperx[380].text 就是希望做這種特色的就算這些小農啦 整個農會啦整個地方的這些產品能夠透過愛遊購去出去那第一個這又回到剛剛提到的你們據點不夠嘛大家沒有辦法習慣去使用你的據點那第二個這已經推了將近十年了現在等於要做個十年的檢討已經推出來十年了嘛愛遊購嗎對 這個是這個愛遊購是賺錢的是賺錢的我知道賺錢啦我說你現在內部的使用率
transcript.whisperx[381].start 11119.838
transcript.whisperx[381].end 11143.709
transcript.whisperx[381].text 民間使用率不高嘛是內部都是員工自己占了一半以上占了一半左右沒有在以上當然從一半以上慢慢調整現在到百分之47.49慢慢降慢慢降可是那到底這個東西服務推出來之後你本來應該是為了服務社會大眾是為了讓這個偏鄉或是所謂小農或是各地方的農特產品能夠透過IEO GO的方式出去到各地去那結果現在回過頭來
transcript.whisperx[382].start 11145.13
transcript.whisperx[382].end 11169.052
transcript.whisperx[382].text 實際在執行的時候只有內部員工多數內部員工在使用業者多數的台灣民眾沒有在使用這個工具那這個東西到底出現問題在哪裡已經做了十年了對我們的重點還是外面的確現在給我數據大概這個員工內部剩四成五四成五的那個那這部分我也發覺這樣刻意但是就事實上我自己在愛國買是他我覺得他產品真的還不錯
transcript.whisperx[383].start 11169.773
transcript.whisperx[383].end 11184.469
transcript.whisperx[383].text 所以我並不覺得員工是我覺得很多員工覺得產品不錯自己很了解去買他不見得是什麼比如說什麼怎樣的一個有什麼樣的這個壓力下去買的
transcript.whisperx[384].start 11185.41
transcript.whisperx[384].end 11203.75
transcript.whisperx[384].text 那但是我覺得愛遊過它現在一直在轉型就是我也期待它未來就是說它變成最有特色的然後這個意思是說你在別的這個電商品牌買不到在我們就買得到然後品質包括品質跟跟這個相關的一些這個
transcript.whisperx[385].start 11206.042
transcript.whisperx[385].end 11233.009
transcript.whisperx[385].text 過去大家認可的一些比如說董事長時間到但是我要再次提醒當然你覺得服務很好所以員工都是自願很開心的去買我也沒有意見有一些應該是這樣但是你光今年一到今年一年一到七月員工就買了一億六千多萬你們郵局員工光自己內部消費就花了一億六千多萬在這個服務上面那如果真的如董事長說的這麼好我也希望他這麼好大家願意使用
transcript.whisperx[386].start 11233.849
transcript.whisperx[386].end 11255.904
transcript.whisperx[386].text 那不應該是有只有不應該是整體營收裡面有一半是內部營收的消費應該是員工有在使用沒錯但是你不能占到整體營收的一半吧這個在任何公司在任何這種服務上面自己的花消費占一半還是很奇怪的事情我覺得這個部分你要去提升外界去使用IoGo的比例可以嗎沒有問題你什麼時候提一個檢討的數據的報告給我們什麼時候可以提一個檢討報告給我們給本委員會兩個禮拜好不好好可以沒問題好謝謝
transcript.whisperx[387].start 11264.585
transcript.whisperx[387].end 11269.051
transcript.whisperx[387].text 好 謝謝黃建豪召委接下來有請鍾嘉斌委員發言
transcript.whisperx[388].start 11284.415
transcript.whisperx[388].end 11307.588
transcript.whisperx[388].text 主席 在場委員先進 列席的政府機關事務官員 會長 工作夥伴 媒體記者女士先生有請我們國家運輸安全調查委員會的林主任委員交通部的產業發展及國際司的陳司長以及很辛苦的中華郵政的王董事長好 請王董事長本來想讓你休息一下
transcript.whisperx[389].start 11312.364
transcript.whisperx[389].end 11339.135
transcript.whisperx[389].text 主委好 董事長好 市長好來標題就開宗明義啦因應無人或極跨境工業物流趨勢要調整非安市委建立資料庫評估民航法先讓王董事長回答董事長中華郵政的郵包業務是不是意味著中華郵政必須是貨運公司還是物流公司 有嗎你們是不是貨運公司還是物流公司我們現在屬於郵政法規範的這個郵政公司所以你們可以送郵包
transcript.whisperx[390].start 11340.806
transcript.whisperx[390].end 11362.681
transcript.whisperx[390].text 類似像貨運物流可以都可以嗎好那我請教一下那依照現行的法規中華郵政如果你們用無人機送小包裹到偏鄉山地要不要成立航空公司不用不用我們是算使用端啦使用端是飛行的場域必須經過我們兩者合作好謝謝來我現在請教那個主委主委
transcript.whisperx[391].start 11363.061
transcript.whisperx[391].end 11389.81
transcript.whisperx[391].text 是我們過去運安會對於載人航空器的事故調查範圍大概就這1 2 3 3個但是我們思考是說透過事故調查改善建議以確保機上人員的安全是不是這樣是OK所以我們通常飛安事故尤其是空難死傷多人最後如果是屬於駕駛的問題要改善它的管理如果是基建就要把它維修或者是航空器的性能要強化對不對
transcript.whisperx[392].start 11390.27
transcript.whisperx[392].end 11411.269
transcript.whisperx[392].text 好 那我們來看一下 來 三位看一下這是一個經濟日報 在上個月這是中國的無人貨機的跨經物流它的載重可達1.5噸 航程超過2000公里300米跑道就可以起降好了 我們來請教三位 我們來看一下你們會不會想要來跨足經營啊來 請教一下 往下看
transcript.whisperx[393].start 11412.25
transcript.whisperx[393].end 11439.201
transcript.whisperx[393].text 無人貨機為什麼要有競爭優勢呢第一它短跑道起降第二它無需駕駛員因為短跑道起降你在工業區可以直接設檢驗跑道因為沒有人員可以迅速通關如果是跨境的話那如果是因為不用駕駛員它用AI系統輔助遠端遙控甚至自主導航可以讓我們的機載具的安全規格就很低我們都知道你看看那個照片往上看來往前有沒有看到無人載具它的最大特色是什麼
transcript.whisperx[394].start 11440.438
transcript.whisperx[394].end 11466.144
transcript.whisperx[394].text 沒有玻璃啊 沒有窗啊為什麼 不需要駕駛員嘛那這樣的一個航空器往下看它就具有這樣的優勢那我想請教一下以現行的法規 我想請教陳司長如果我專門經營空中物流剛剛我們董事長說啦我送包裹啊 用無人飛行器啊 無人機送包裹啊不用成立航空公司 可以嗎
transcript.whisperx[395].start 11469.147
transcript.whisperx[395].end 11498.037
transcript.whisperx[395].text 目前來講的話如果那個郵政公司他要做無人機的運送他必須要符合在那個我們民航局這邊所規範的未來的UTM就是城市空中的一些相關管理的一個規範我現在講的不是城市交通喔我現在講的是跨國貨運喔來往下看來往前往前看來所以我要提醒一下那個主委啊跨越交通的門檻我們有沒有可能建立個24小時的跨境空中物流走廊運安會會不會支持工業用的無人貨機
transcript.whisperx[396].start 11499.591
transcript.whisperx[396].end 11502.154
transcript.whisperx[396].text 這個是主管機關的權責主管機關是哪一個好啦 我往下看啦 來現在我們大膽的想北呂宋跟南台灣可不可能是一個前經濟部長郭志輝說的一個新的電子產業園區台灣有晶片 有半導體 相關的關鍵零組件
transcript.whisperx[397].start 11520.836
transcript.whisperx[397].end 11543.185
transcript.whisperx[397].text 菲律賓有充沛的綠燈他有充沛的人工他可以做裝配在這裡從恆春到呂宋島才不到400公里如果用無人貨機的機隊24小時穿流不斷我們都知道這個半導體的這個零組件電子零組件又輕又貴通常本來就要坐飛機都坐空吧都坐貨機現在坐無人貨機在這邊坐這像不像什麼
transcript.whisperx[398].start 11547.387
transcript.whisperx[398].end 11560.267
transcript.whisperx[398].text 像特斯拉 特斯拉的超級工廠很大很大大到他有多少公里 兩三公里他的零組件透過幾公里的輸送帶出來就是一輛電動車好 往下看來 如果在工業區裡面設無人貨機跑道
transcript.whisperx[399].start 11561.856
transcript.whisperx[399].end 11585.909
transcript.whisperx[399].text 現在我們的運安會你是管25公斤以上的你是做事後的事故調查然後來改善建議但是未來如果大型的無人貨機用短跑道起降這個工業區跑到臨街住宅區工業區如果是無人貨機跑到臨街住宅區運安會會不會去研究一下對周邊居民 地面居民安全的影響會不會你們會不會去思考這個問題
transcript.whisperx[400].start 11588.499
transcript.whisperx[400].end 11600.468
transcript.whisperx[400].text 以現在台灣的你還是覺得很安全嗎如果覺得很安全中華郵政可以考慮啊只要我們用航空法你們不用申請航空公司啊你們既然小包裹都可以送了大郵件可不可以送
transcript.whisperx[401].start 11601.584
transcript.whisperx[401].end 11629.615
transcript.whisperx[401].text 了解好往下看來我們希望運安會來思考一下你重新定義無人機事故調查其實你在裡面的人員傷亡或死亡人員傷亡25公斤以上其他造成生命財產身體的影響其實無人貨機沒有駕駛乘客工業區設置檢疫的無人貨機跑道它其實影響的是什麼地面的人員跟地面的財產安全以及工業區周邊的人員造成影響是不是運安會你需不需要調整要不要調整你的
transcript.whisperx[402].start 11630.555
transcript.whisperx[402].end 11653.579
transcript.whisperx[402].text 面對無人機的事故調查你的思維要不要思考一下調整一下來那個市長你要不要回答請報告委員有關於這個人員傷亡的話他不設限公斤數不管他是幾百克或幾公斤的只要造成人員傷亡我們都會調查那個25公斤以上是失職損壞也就是飛機摔了他沒有造成人員傷亡的話飛機摔了超過25公斤我們就會調查
transcript.whisperx[403].start 11654.019
transcript.whisperx[403].end 11669.797
transcript.whisperx[403].text 真的是答非所問我們要再跟你講25公里以上以下我只有跟你說未來的無人貨機會大大的改變我們對於什麼叫做機場的概念一個工業區300公尺就可以起這樣的跑道它整個影響的是周邊地面的安全往下看來我們看一下
transcript.whisperx[404].start 11670.658
transcript.whisperx[404].end 11692.998
transcript.whisperx[404].text 無人機的飛航供應鏈你看看這裡有寫我國從去年12月開始已經公告必須經濟部指出必須要用民航局的同意文件無人機的事故都跟通訊晶片有關運安會有沒有開始建立現在世界各國使用的無人機他們的事故調查有沒有去搜集這個資料現在很多了現在很多國家不願採用對岸就很多無人機事故運安會有沒有想到這個範疇
transcript.whisperx[405].start 11695.931
transcript.whisperx[405].end 11723.235
transcript.whisperx[405].text 好 沒關係往下看 來很快讓你們知道一下大型的無人貨機投入工業物流的話他用AI系統輔導自動導航調查無人機的具備要什麼鑑定他的AI輔助系統的能力他依據 他依賴數據鏈結的數位通訊涉及到資安國安要跨部會合作所以運安會要開始去收集國際無人貨機事故的調查報告建立這樣一個資料庫供各部會調查可以嗎 開始收集可以啦 主委
transcript.whisperx[406].start 11726.721
transcript.whisperx[406].end 11751.833
transcript.whisperx[406].text 可以啦 OK 主委這個可能還在思考往下看其實我們希望說現在在場有中華郵政在場有我們交通部交通產業發展跟國際事務司我為什麼請你們來就是說未來整個我們還在討論中華郵政到底郵差要不要送信到底要不要做電商要不要做物流我們看到一個藍海臺灣鄰近的這些國家跟臺灣有非常好的合作的機會
transcript.whisperx[407].start 11753.737
transcript.whisperx[407].end 11773.259
transcript.whisperx[407].text 中國使用無人機是因為它可以省卻道路路面的公路工程的影響它直接就跳島但我們太平洋這些地區印尼 菲律賓 台灣有很多島嶼的國家只要有跑道就可以直接運貨這個概念也可以突破我們傳統我們的國際貿易受限於港口跟公路的受限
transcript.whisperx[408].start 11773.94
transcript.whisperx[408].end 11799.34
transcript.whisperx[408].text 所以這個部分請運安會來跟民航局推動四航認證無人貨就要通過結構跟籌載的測試這該民航局規劃專用航路短跑道選址避免有人航空載人航空造成地面居民的影響還有導入無人機的交管系統以AI交管系統避免航路衝突請運安會可不可以承諾一下未來根據民航局來修訂我們無人貨因應無人貨的趨勢評估現行法規的修正之處
transcript.whisperx[409].start 11800.336
transcript.whisperx[409].end 11825.037
transcript.whisperx[409].text 可以嗎我們可以跟民安局來討論嗎好謝謝那最後這三個問題請三位回答一下針對工業區設置無人貨機短跑道評估對地面居民的影響這個是運安會的那麼建立無人機的事故調查資料庫供跨部會政策參考制定這個運安會也可以接受嘛對不對最後一個協同民安局評估現行的法規因應無人貨機的修正之處都可以嘛是不是最後呢我請王國台董事長請教您一句請
transcript.whisperx[410].start 11827.427
transcript.whisperx[410].end 11844.056
transcript.whisperx[410].text 畢竟您擔任過最高的國教中主管所以您看一看其實當我們在思考一個事業體的困境的時候其實要去思考整個未來的趨勢跟新科技的發展您要不要簡單的談一下如果今天中華郵政法規許可您會考慮來接這個業務嗎畫鏡的無人貨機
transcript.whisperx[411].start 11849.318
transcript.whisperx[411].end 11865.964
transcript.whisperx[411].text 這個中華郵政是受限於在郵政法所以包裹物流可以送包裹多重要包裹包裹要限幾公斤以下如果我先講無人貨物區它應該是航空運輸業的執照就是航空運輸業執照中華郵政不能做嗎你們現在包裹最重多重
transcript.whisperx[412].start 11867.114
transcript.whisperx[412].end 11887.522
transcript.whisperx[412].text 這個未來應該是你目前的郵政包裹最重多重就是20公斤20公斤嘛我相信很多這樣的跨境的一個物流20公斤是綽綽有餘的我們跟航空公司合作就好了不需要自己做航空公司要請駕駛員航空公司要經過試航許可無人貨機簡單多了您回去思考看看謝謝
transcript.whisperx[413].start 11891.26
transcript.whisperx[413].end 11902.187
transcript.whisperx[413].text 好 謝謝中央B委員的發言我們接下來請王美惠委員 王美惠不在接下來請黃婕委員 黃婕 黃婕不在接下來請邱若驊委員發言好 謝謝主席 請主席邀請運安會林主委好 我們請林主委
transcript.whisperx[414].start 11923.615
transcript.whisperx[414].end 11944.467
transcript.whisperx[414].text 主委好 優安會是我國最高運輸安全的調查機關嘛你們要負責航空還有船舶碟套公路重大事故調查這也不是一般的行政工作是需要高度專業然後也要高度仰賴經驗的事故調查工作可是我看到115年度的預算說優安會的預算原額共92人那其中
transcript.whisperx[415].start 11945.047
transcript.whisperx[415].end 11973.838
transcript.whisperx[415].text 拼用的人員71人 占比近八成也就是說你們幼兒園會的核心業務高度仰賴專業的拼用能力可是現在有兩個問題 第一個徵才的公告沒有清楚結構薪資待遇那第二個是你們調查的專業能力仍有缺而這也會讓結案的進度也有壓力所以請主委說明幼兒園會到底要怎麼才能招得到人 留得住人然後也確保重大事故你們在調查不會因為人力不足而延宕我們現在
transcript.whisperx[416].start 11976.199
transcript.whisperx[416].end 12003.395
transcript.whisperx[416].text 過去3年我們離退12個人然後新進有15個人事實上平均每年離退4個人所以我們現在只有航空組公路組有缺2個然後這個運輸發電組缺2個正在招好中但是有一個現象是剛剛有提到我們現在人的招人有一點碰到一個困難就是我們的薪水沒有辦法跟著業界一直在
transcript.whisperx[417].start 12003.835
transcript.whisperx[417].end 12017.258
transcript.whisperx[417].text 我先確認幾個數字115年度預算書你們所列的聘用人員71人是不是就是主要的調查人力對主要的調查人力那現在在職的調查人員是不是62個人現在調查人員有71個4個組有71個目前在職的目前在職有67個
transcript.whisperx[418].start 12028.376
transcript.whisperx[418].end 12046.769
transcript.whisperx[418].text 那我有看到因為專業的人力缺額還有7個那現在我要問薪資公告的問題因為調查人員他也需要具備高度的專業能力那也要具備航空還有航運鐵道公路運輸的實務經驗那這樣你們還有一個重大運輸事故調查人員的資格的一個評鑑程序
transcript.whisperx[419].start 12048.05
transcript.whisperx[419].end 12073.213
transcript.whisperx[419].text 敬請你們的公告通常只有看到職稱還有資格的條件可是沒有清楚選民薪資的級距那這樣子你們要怎麼來招募就是專業的人力呢我們人員招好進來會考量他過去在業界他的整個工作年資然後我們內部會有一個小組說他應該會比照給他幾個值等然後他的薪水多少
transcript.whisperx[420].start 12073.914
transcript.whisperx[420].end 12081.402
transcript.whisperx[420].text 那interview的時候會跟他講說是確實還有interview嗎可是因為沒有看到一個薪資的範圍是因為你們自己選擇不公告直接講
transcript.whisperx[421].start 12088.473
transcript.whisperx[421].end 12106.456
transcript.whisperx[421].text 報告委員我們目前確實在公告外補的部分是沒有特別去揭露薪資那我們是針對就是他們報名進來之後的我們會看他的專業性因為我們一個職缺的專業性是不一樣的那我們會在那個遴選小組的會議上去做一個介紹
transcript.whisperx[422].start 12106.756
transcript.whisperx[422].end 12123.201
transcript.whisperx[422].text 我看到你們對學歷然後還有經歷也有特別的有要求嗎那這樣子你們要怎麼吸引就是相當學歷然後還有具備業界經驗的人才可是前提是你們都完全沒有公告這個部分我們可以後續做檢討是不是做公告這樣比較適合這樣
transcript.whisperx[423].start 12124.421
transcript.whisperx[423].end 12146.721
transcript.whisperx[423].text 因為除非因為在不管是在業界還是就是其他其他的機關他們都有清楚的揭露其實希望你們也能夠就是把就是除了學金曆的要求然後因為都看到都是條件條件列出來可是你們不管是集聚然後還是就是還是這個薪資的區間你們都沒有寫出來這樣你們怎麼要跟業界來搶人才
transcript.whisperx[424].start 12147.381
transcript.whisperx[424].end 12163.722
transcript.whisperx[424].text 那再來 主委 我要問到 院會你們都有花預算就是培養調查人員嘛也不定期的會到國外去接受手訊沒有錯吧那像是非安事故還有海事事故的調查還有紀錄器解讀的課程那現在因為新制的
transcript.whisperx[425].start 12164.523
transcript.whisperx[425].end 12181.393
transcript.whisperx[425].text 透明度不足那加上人才不願意進來或是之後他們接受訓練之後然後他們又被業界挖走了那這樣子就是國家跟你們院會的損失啊所以現在你們有沒有去計算過調查人員有多少是由業界直接轉任的
transcript.whisperx[426].start 12183.488
transcript.whisperx[426].end 12208.942
transcript.whisperx[426].text 我們有一半至少在業界都有很多年的經營但是剛剛委員提到說薪資透明化事實上我們也是等於是政府的機構我們的薪資是它是固定一個Range那將來如果我們招考的時候事實上我們可以適度的揭露說我們大概薪水在哪一個那近三年你們有多少人才從雲安會離職呢近三年來說明一下
transcript.whisperx[427].start 12210.1
transcript.whisperx[427].end 12223.812
transcript.whisperx[427].text 我們近三年 平均每年大概四位那就是有關調查人力的部分所以近三年大概十二位左右近三年十二位 這算蠻多的吧 主委大概五點 五趴左右
transcript.whisperx[428].start 12225.373
transcript.whisperx[428].end 12251.218
transcript.whisperx[428].text 差不多啦平均一年有除以三的話一年差不多四個人差不多但是這是離退這是很自然還有一個現象就是說就我剛剛有報告的少子化嘛人也很難招因為剛剛有提到就是因為有一些案件你們還在調查當中那我有看到114年3月底調查的專業能力你們預算的預算員的額是預算員額是七十一人那我有看到七名
transcript.whisperx[429].start 12251.918
transcript.whisperx[429].end 12273.158
transcript.whisperx[429].text 缺額比例占一成那同時在公路事故的部分1月2年底未結案的有9件1月3年又增加了4件可是1月3年你們結案的也只有4件所以你們未結案人維持在9件那航空事故也有增加的趨勢那可不可以說明這幾名的缺額那您剛剛提到就是各兩名是在公路還有哪一個單位
transcript.whisperx[430].start 12274.84
transcript.whisperx[430].end 12296.629
transcript.whisperx[430].text 運輸安全組運輸安全組那有沒有分別在航空鐵道水路你們有沒有去計算過就是哪一個組別的缺額導致就未檢案的數字比較高目前目前航空水路的人力剛剛好啦那公路因為最近的公路世界比較多所以我們一直在想辦法補人進來想辦法補人進來我們確實有補人進來然後
transcript.whisperx[431].start 12303.559
transcript.whisperx[431].end 12328.552
transcript.whisperx[431].text 跟委員報告我們前一陣子也是補一個人進來然後給他試用三個月之後後來內部在開會之後就覺得好像沒有辦法繼續用就重新又再找這樣重新又再找真的是很難找人才是那我希望就是在找人才的同時你們先就是在網路上的公告也可以清楚的列出讓就是有志加入議案會的人才他們可以更清楚在interview之前他們就可以有一個了解就是薪資的級距OK嗎
transcript.whisperx[432].start 12330.093
transcript.whisperx[432].end 12333.018
transcript.whisperx[432].text 在公路的調查專業裡面,分層是屬於車輛專業,屬於道路設計的,屬於這個操作的等等
transcript.whisperx[433].start 12341.323
transcript.whisperx[433].end 12369.264
transcript.whisperx[433].text 他不同的領域的人進來才會組成一個調查的這個小組所以有時候我們原來以為這個調查官他是在車輛方面的專業可是當進來的時候我們有幾個案子請他去實行當然進來要新進人員授訓ODT啦 進階訓練等等可是完成他的orientation之後沒關係 再確認一件事在上一次的委員會那很多委員都有問到嘛因為目前還有很多案件還沒有解嘛那主委您認為這跟能力有關嗎
transcript.whisperx[434].start 12371.295
transcript.whisperx[434].end 12387.149
transcript.whisperx[434].text 應該是沒有關係應該沒有關係嘛那也希望就是今天本席提的問題那運安會回去也做一個研究啊是是是OK好謝謝主委謝謝好謝謝我們邱若昊委員的發言謝謝運安會主委接下來我們請游昊委員發言
transcript.whisperx[435].start 12399.394
transcript.whisperx[435].end 12406.418
transcript.whisperx[435].text 那有請一下運安委主委還有王國才董事長我們請林主委也請王董事長那主委好那主委就是這個員額的部分其實之前很早也有跟您提到過那我想問一下那跟行政院溝通目前的一個狀況能不能夠增加員額
transcript.whisperx[436].start 12427.212
transcript.whisperx[436].end 12446.324
transcript.whisperx[436].text 來我們全城市主任來個好簡短講因為還有等一下要請王董事長回覆的報告委員我們經過那個我們一百一十五年裡面的品鑑的一個檢討目前我們人力目前是足夠的那因為我們從北安會時代改制到現在其實我們人力已經趨近於成熟
transcript.whisperx[437].start 12446.884
transcript.whisperx[437].end 12460.897
transcript.whisperx[437].text 所以有發揮在在人力的一個業務上的一個效力那就是我們每兩年都會透過人力的評鑑去做人力的檢討那我請問一下主委你覺得雲安會目前人力是足夠的跟委員報告
transcript.whisperx[438].start 12465.263
transcript.whisperx[438].end 12482.553
transcript.whisperx[438].text 這一兩年的重大的運勢事故確實是有比較少所以我們目前的人力差不多可以meet那坦白講因為這個部分來講的話還是要回覆剛剛主任您所提的就是人力我相信不會是足夠的因為
transcript.whisperx[439].start 12483.553
transcript.whisperx[439].end 12497.529
transcript.whisperx[439].text 當然說目前來講最近重大事故比較少那當然是好事那也希望持續都那麼少可是同樣的一個負荷量那其實也是重的因為像預案會的許多報告確實都要花了蠻多的時間
transcript.whisperx[440].start 12498.47
transcript.whisperx[440].end 12526.878
transcript.whisperx[440].text 那所以一直以來大家每次的不管是法治局的或預算中心的你先回沒關係法治局或預算中心的許多的調查報告其實都有提到能力需要提升 援握不足還需要能夠去跟行政院來做爭取那我覺得剛才邱立豪委員點出的問題確實是必要的所以說還是希望內部重新再做一下討論吧因為這個部分其實許多同仁都有這個需求那所以我是覺得這個部分反而還是需要慎重看待
transcript.whisperx[441].start 12527.438
transcript.whisperx[441].end 12542.752
transcript.whisperx[441].text 那同樣的 那主委你可以先回那因為您以前也擔任過民航局的副局長那像這一次來講我們看到賴清德總統他前往這個史瓦帝尼那在就你的一個民航的經驗
transcript.whisperx[442].start 12543.773
transcript.whisperx[442].end 12559.184
transcript.whisperx[442].text 那這樣子的一個搭乘他們駛過的班機來前往他又是外籍機師他還沒有本國國籍機師以你這個專業的部分來看待這樣子的一個飛航安全你可以提出一個什麼樣的建議
transcript.whisperx[443].start 12560.985
transcript.whisperx[443].end 12588.245
transcript.whisperx[443].text 我想以矢國的專機它是等於外國的飛機那外國的飛機它依國際民航組織的一些規範它申請飛航就飛越啦它說是飛越它是第一航權嘛那第一航權一般在國際的慣例一般都是會同意的那所以說總統搭乘矢國飛機還有外籍機師還有這個在用微信電話這個都沒有相關的這種國安的問題嘛
transcript.whisperx[444].start 12591.112
transcript.whisperx[444].end 12608.818
transcript.whisperx[444].text 在這樣子的一個方式做法上是不是應該要給一個比較對於不管是政治的問題不會勉強你但是至少在安全的問題來講那是不是應該要怎麼樣的做法比較符合這個保護這個國家元首或是總統出訪安全的考量
transcript.whisperx[445].start 12610.91
transcript.whisperx[445].end 12628.159
transcript.whisperx[445].text 但是你有民航專業啊在非常安全的角度民航局他應該在事前規劃的時候他應該會被通知到他有考慮到我認為有啦那所以考量到的話他應該要給出什麼樣的建議
transcript.whisperx[446].start 12629.727
transcript.whisperx[446].end 12647.249
transcript.whisperx[446].text 因為只是外國的專機在飛航的時候如果上面做了VIP一般在在航管程序上他們會有特別care會特別的care所以說你覺得在目前飛航安全如果以這樣的模式來講是一切沒有問題的
transcript.whisperx[447].start 12648.55
transcript.whisperx[447].end 12674.126
transcript.whisperx[447].text 應該是沒問題啊一直都沒問題喔好啦沒關係我看您也不太方便回答那沒關係啦那我是想接著請教一下黃國帥董事長那董事長政治的問題我不特別請你回答那您也做得非常的傑出那所以說我是想針對技術性的問題來講那像剛才所提到這樣子的一個飛航安全以及過去在
transcript.whisperx[448].start 12675.106
transcript.whisperx[448].end 12690.562
transcript.whisperx[448].text 就是總統出訪的時候其實您在當任部長期間也有參與那像他現在賴總統回來的部分他的路線上跟方式上那要怎麼辦那以你過去的專業來講你覺得要怎麼辦
transcript.whisperx[449].start 12692.799
transcript.whisperx[449].end 12711.31
transcript.whisperx[449].text 過去在出往的國家當然是國安團隊也評估到這個整個非常安全然後當然民航其實配合還有航空公司配合這個航路的申請但是他這個這次的確比較他是一個比較突破突破性的一個外交那裡面可能
transcript.whisperx[450].start 12712.55
transcript.whisperx[450].end 12729.589
transcript.whisperx[450].text 他們應該有一群人在那邊做一個討論要怎麼樣去跟回因為我沒有參與我沒辦法回答那如果說以你過去當任部長的專業來講那還有哪兩種方式可以來做選擇嗎他回來的方式我現在真的很難回答這個問題
transcript.whisperx[451].start 12731.175
transcript.whisperx[451].end 12744.044
transcript.whisperx[451].text 好啦 那沒關係那還是跟部長講說其實專業性的部分其實你是可以回覆啦那 那我就直接表達一下因為現在來講那你覺得有沒有可能他會再搭著死國的飛機回來因為
transcript.whisperx[452].start 12746.872
transcript.whisperx[452].end 12764.611
transcript.whisperx[452].text 這個牽涉到兩國外交的這個溝通我們每年給他們十幾億啊對 您猜的可能都是方案 但是我真的沒辦法確定好啊 那不知道他會不會搭著這個巴拉圭到時候要來台灣的話 飛州再飛到那個巴拉圭 不知道但是其實啊 那如果
transcript.whisperx[453].start 12765.271
transcript.whisperx[453].end 12784.571
transcript.whisperx[453].text 過去來講比較的 歷任總統出訪史瓦帝尼的一個經驗他還從來沒有像如此的方式前往那其實這個部分他並沒有因為這樣子而讓大家覺得怎麼可以用這樣子很像是有一些特別的方式但是說穿了他就搭便車
transcript.whisperx[454].start 12785.652
transcript.whisperx[454].end 12809.988
transcript.whisperx[454].text 那其實以國家元首要出訪啊我覺得不管怎麼樣前往但是應該是要合乎一個該有的一個方式因為過去你在擔任部長期間包括蔡英文總統她一樣也是能夠前往嘛那包括過去馬英九總統陳水平總統甚至連李登輝總統都有前往成功啊那所以說以夾帶的方式過去啊那其實
transcript.whisperx[455].start 12811.288
transcript.whisperx[455].end 12832.079
transcript.whisperx[455].text 確實是對於我們付出了每年十幾億的一個死國來講這個確實我覺得還是讓民眾來講不一定能夠接受這種方式那同樣的啦那我也是希望說如果希望你能夠給一些他能夠怎麼樣光明正大回來的建議那有辦法提供嗎
transcript.whisperx[456].start 12833.466
transcript.whisperx[456].end 12861.258
transcript.whisperx[456].text 我沒辦法提供 但是的確這次外交遇到很大很大的困難啦我個人是覺得是一個突破因為他跟以前國家出去 國家英雄出去狀況已經不一樣了所以我想說他們有他們的考量不過我是覺得這次是很成功的一個外交的一個拜訪其實我個人來講 我並不認為是成功啦因為總統出訪畢竟還是光明正大比較理想啦
transcript.whisperx[457].start 12861.678
transcript.whisperx[457].end 12876.378
transcript.whisperx[457].text 那過去蔡英文總統都能夠光明正大的出去我覺得賴清哲總統反而要思考一下兩岸關係的這個路徑上或是在國際關係的路徑上到底如何能夠去做突破我覺得反而要去做一些反思而且同樣的
transcript.whisperx[458].start 12877.279
transcript.whisperx[458].end 12904.395
transcript.whisperx[458].text 不一定是事的話都一定是以扣紅帽的方式我覺得在這過程中是不是有些的申請上面的一些方式可以更為完善我覺得其實參問總統的時候都可以我覺得賴清德總統應該要思考他要怎麼樣去讓我們的整個台灣的在世界的定位能夠是更為的如以往甚至是不是有可能超越以往我覺得他應該去思考好 謝謝
transcript.whisperx[459].start 12908.001
transcript.whisperx[459].end 12933.26
transcript.whisperx[459].text 好謝謝油耗委員的質詢我們接下來請葉元之委員發言主席好我們請那個中華郵政好我們請中華郵政王董事長
transcript.whisperx[460].start 12941.501
transcript.whisperx[460].end 12967.936
transcript.whisperx[460].text 各位好我們現在關心一下因為我們現在好像郵局在招募人的時候是不是現在有很多預缺不補然後退休也都沒有補的狀況現在郵局業務量增加了啦業務量增加是好事但是人力也是要增加不然的話我們郵局的一些郵政事他們的負擔變重現在一直沒有補人的原因到底是什麼
transcript.whisperx[461].start 12969.216
transcript.whisperx[461].end 12988.784
transcript.whisperx[461].text 現在不是不補,現在有點有一個時間差我們現在招考,像半日是已經招考完進來的然後後續就是會一直進來那今年大概有200多個缺,現在今年都會把它補齊沒有說一缺不補這個事,就是說我們按照業務的需求然後我們就調整所以你說大概會補多少
transcript.whisperx[462].start 12993.266
transcript.whisperx[462].end 13008.974
transcript.whisperx[462].text 240個會補到什麼時候會補期今年就幫他補7月7月7月就補期是不是那我這邊提醒幾件事情因為有一些郵局的同仁有在抱怨的這你在網路上看到我不知道是有沒有真實的狀況
transcript.whisperx[463].start 13010.094
transcript.whisperx[463].end 13032.692
transcript.whisperx[463].text 第一個就是像有南部的講說好像那個輪胎都買便宜貨所以你可以看到輪胎都變形了還持續在騎這個會造成安全的影響然後右邊是有人在反映說他們的支局都沒開冷氣31度還不能開所以非常的熱然後他下班之後去全聯覺得人家全聯的冷氣很好吹有這種狀況嗎
transcript.whisperx[464].start 13035.214
transcript.whisperx[464].end 13056.74
transcript.whisperx[464].text 董事長這狀況是這個就是你如果要補人的話你要留人嘛不要說讓這個工作環境變比較差不管是安全或舒適度有沒有這個狀況對謝謝葉委員就第一個這個的確在台南郵局他這次用最低價標的確有一批這個品質比較差的那在台南有這個狀況其他沒有現在目前是台南
transcript.whisperx[465].start 13059.901
transcript.whisperx[465].end 13084.447
transcript.whisperx[465].text 那4月29號他們的大經理已經召開會議要全數全數把它換掉了然後也要求椰奶廠商提供比較好的所以已經有改善方案了這個在改善所以只有台南有對那沒開冷氣有嗎冷氣我們現在是就是按照經濟部的規定是26度那如果在這個我們的處理中心就加在他這邊寫說31度不能開這個我們再了解一下我們是希望說環境是26度了26度的環境
transcript.whisperx[466].start 13087.628
transcript.whisperx[466].end 13098.32
transcript.whisperx[466].text 然後再來我們來看一個就是你們在2010年有推一個網路商城在2020改名叫愛郵購那愛郵購今年的營業數據大概到今年今年是有賺大概217萬去年是賺的營利是732萬
transcript.whisperx[467].start 13109.431
transcript.whisperx[467].end 13135.145
transcript.whisperx[467].text 郵局當然是說好像感覺不錯但是實際上我們在裡面有看到一個問題我們有看到一個問題什麼問題呢就是實際上你們營運成本只有算這個商城的人事費但是這個商城裡面主打一個東西叫做免運費那免運費的成本是誰來吸收的免運費成本是由原本的郵局的那些郵政事來吸收
transcript.whisperx[468].start 13135.905
transcript.whisperx[468].end 13160.606
transcript.whisperx[468].text 那等於你把那就是其他部門的成本就把它算在其他部門裡面就沒有算在這個愛郵購裡面導致於愛郵購好像看起來營收不錯這就隱形成本的然後第二個給董事長看一下其實你們的那個產品是沒什麼競爭力你看全聯的福利的中心禮券一張面額100塊你是賣108塊
transcript.whisperx[469].start 13162.915
transcript.whisperx[469].end 13179.82
transcript.whisperx[469].text 那家樂福一張100塊是賣104塊賣的比原本的票面價還貴當然董事長你們會說多的錢就是運費嘛對不對因為如果他要到家樂福去買的話他就跑一趟你如果是電商的話就不用跑一趟可是實際上這就很沒有競爭力我們再繼續看
transcript.whisperx[470].start 13181.46
transcript.whisperx[470].end 13206.154
transcript.whisperx[470].text 比如說以飲料來講同樣的一個飲料在愛油購是賣588塊一箱其他店商是一箱只賣470塊我只是讓你看其實你的產品是非常沒有競爭力的那在產品這種沒有競爭力的情況之下為什麼感覺上有營收是因為把那些物流的成本算在油局裡面沒有算在愛油購裡面
transcript.whisperx[471].start 13207.114
transcript.whisperx[471].end 13234.862
transcript.whisperx[471].text 然後整體來講這個平台大概一年的營業收入也大概就三千萬左右其實在電商來講不算是大的電商所以郵局如果花了那麼多的心力還成立這個部門然後做的這樣鑰匙不合的樣子還把成本灌在別的部門我覺得是有必要再檢討一下我跟葉委員報告這個愛郵購當時成立是為了福島小農所以它事實上是我們偏鄉義務的一部分
transcript.whisperx[472].start 13235.382
transcript.whisperx[472].end 13255.149
transcript.whisperx[472].text 那後來現在一直在發展我是希望他們成為全國最有特色的那加油啦剛剛看到因為他是B2B2C啊就是北仁把這個禮件放在我們這邊賣所以價錢是他來訂然後剛才免印費的部分這個也是在這個上架場上那如果這個這個
transcript.whisperx[473].start 13257.13
transcript.whisperx[473].end 13283.612
transcript.whisperx[473].text 這個買的這個金額夠的話他會省掉這個就是說他會吸收這個運費所以這個B2C就是他掛在我們這邊去賣給各個消費者那所以但是剛才所提到的就是說怎麼樣讓這個愛遊過更有競爭力也是我們對啦我覺得要加油盡量要做啦盡量要做就不要說好像就做到差不多就好了好不好最後我還是要也是要再講一個
transcript.whisperx[474].start 13284.733
transcript.whisperx[474].end 13299.686
transcript.whisperx[474].text 也是跟郵局就是態度的問題啦 公眾態度的問題我們在我的選區一直要有一個郵局叫合一A3這個郵局實際上這個房子是什麼時候買到呢是2024年就前年已經快兩年了
transcript.whisperx[475].start 13300.446
transcript.whisperx[475].end 13324.428
transcript.whisperx[475].text 驗收那個時候要在這邊開一個郵局大家都非常期待那里長也很關心里民也很關心所以我也多次去詢問大概什麼時候會營業然後我在2024年9月的時候問當時郵局給我的回覆是說2025年5月就會營業去年5月喔那時候是說去年5月喔然後結果後來快到了大概在
transcript.whisperx[476].start 13325.649
transcript.whisperx[476].end 13350.687
transcript.whisperx[476].text 去年的五月之前我再去問然後結果又跟我講說沒有因為什麼種種原因又改成2025年的年底要營業所以十一月2025年的十一月要蓋好然後2025年的年底要營業然後我中間一直去詢問也都是這樣講結果年底到了因為我們里長問我李明問我們都會去講尤其說是年底
transcript.whisperx[477].start 13351.707
transcript.whisperx[477].end 13357.699
transcript.whisperx[477].text 結果到了年底的時候怎麼又還是在那邊大門聲鎖要繼續問又要改成今年的五月
transcript.whisperx[478].start 13358.976
transcript.whisperx[478].end 13382.411
transcript.whisperx[478].text 所以實際 而且到現在還沒有營業喔所以實際上營業的時間已經比一開始承諾我們的時間晚了一年啊我們同事講當然你可能不會管到那麼小的事情啊可是問題是你心中認為的小事是我們地方大事因為郵局大家一定是覺得很方便嘛其實這也是你們要改到高興大家使用的服務可是為什麼連開一個郵局都這麼困難啊
transcript.whisperx[479].start 13384.895
transcript.whisperx[479].end 13410.767
transcript.whisperx[479].text 到底是什麼狀況因為他這個內裝是用那個最低角結標這個是這個有舉這個我們必須要討論的所以他對我跟你講董事長給你報告他中間過程都有很多驗收部分我們去了解也是這樣講說什麼找到一個廠商怪廠商是內裝廠商很差沒有經驗然後所以如果那你為什麼要找一個沒有經驗的廠商呢這也是很大的問題而且你們都不要沒關係
transcript.whisperx[480].start 13411.787
transcript.whisperx[480].end 13438.738
transcript.whisperx[480].text 每次我去問都我再去了解一下我再去了解一下都從來沒有把這個當一回事拖了一年開一個郵局要拖一年這種效率你要怎麼樣讓人家對郵局產生信心所以請問一下董事長過去我都不講了你在這邊具體承諾到底什麼時候要營業董事長自己來承諾什麼時候要營業本來最早是去年五月已經拖了一年董事長請你講一個時間
transcript.whisperx[481].start 13441.001
transcript.whisperx[481].end 13469.792
transcript.whisperx[481].text 然後請你幫忙訂一下好不好你知道在我們地方有發生這麼離譜的事情嗎你知道嗎謝謝委員我就覺得這個就是說這個廠商他現在缺失還一大堆還在改那我現在可能沒辦法馬上不是啦董事長你不能這樣講那你為什麼找一個那麼缺失就沒有經驗的廠商是覺得郵局的服務不重要然後弄到牛年馬月喔你講一個時間你要有一個目標嘛不然又拖到明年五月喔
transcript.whisperx[482].start 13472.473
transcript.whisperx[482].end 13495.518
transcript.whisperx[482].text 你講一個目標我本來我跟你講我們後來問到最新是說現在又在辦在辦驗收啦一個月內讓他營業好不好你趕快去盯看他有什麼缺失請他趕快改然後又不然的話做辦一個採購都可以辦到那麼差那個葉遠這樣啦那個我現在可能沒辦法馬上那個我回去瞭解一下那個缺失現在處長跟我講說缺失還蠻嚴重的
transcript.whisperx[483].start 13498.099
transcript.whisperx[483].end 13524.412
transcript.whisperx[483].text 所以不是啦 董事長你們我都還沒問到大的東西物流園區什麼哇你們動輒那麼大龐大金額的東西你們也都在做然後連開一個郵局都會開到哩哩那啦這個我來盯我答應委員我來盯這件事情然後兩個禮拜內給委員一個所以還要兩個禮拜我等都等一年了書面答覆啦書面答覆沒有啦你看下個月可不可以開幕啦
transcript.whisperx[484].start 13525.643
transcript.whisperx[484].end 13553.039
transcript.whisperx[484].text 你們都不當一回事所以他缺失就慢慢改啊你們都不當一回事啊處長跟你回答一下好不好他現在看起來是還有一些困難是 報告委員因為這個案子的確他廠商施工的的驗收品質很就是不太好那目前還在驗收中沒有 最好最好這個問題很多了啦今天如果說你預定的時間我下個月就叫你那個我就覺得我太苛了啦等了一年你還在講說有缺失那到底什麼時候要開幕
transcript.whisperx[485].start 13555.211
transcript.whisperx[485].end 13566.67
transcript.whisperx[485].text 到底什麼要開幕 牛年馬月不是啦 你有沒有當一回事啦有沒有當一回事啦董事長有沒有當一回事郵局開幕有沒有當一回事任由一個廠商缺失然後都可以一直拖
transcript.whisperx[486].start 13567.967
transcript.whisperx[486].end 13587.622
transcript.whisperx[486].text 一年不一年這樣啦就是說沿途是這個廠商但是現在如果缺失沒有改善也沒辦法越做當然啦可是你們我覺得你們要做事找方法嘛不做事要找理由嘛現在當然都可以推給廠商啊找方法的部分剛才談到就是說未來最低價絕標這個方式應該要改善但是這個是已經發生了我來盯他們他們現在說5月6號
transcript.whisperx[487].start 13592.385
transcript.whisperx[487].end 13619.918
transcript.whisperx[487].text 復驗嘛但是現在復驗的結果不知道他處長就是跟我講說缺失還很大所以我現在沒辦法可以委任處長有把他的缺失當一回事嗎就隨便嘛反正報嘛隨便缺失再改嘛缺失再改嘛不知道委員他的驗收過程的時候我們有一直盯著他但的確是因為廠商他的如果說連一個郵局一個廠商室內裝修廠商你們都搞不定那你怎麼讓大家相信幾百億的東西什麼物流園區你們搞得好
transcript.whisperx[488].start 13621.679
transcript.whisperx[488].end 13642.673
transcript.whisperx[488].text 兩個禮拜啦兩個禮拜給你個書面你現在董事長今天就回去幫我盯一下啦好不好然後請處長來講一下到底有什麼最快什麼時候好不好不要一直拖了啦不然我們大家真的對你們都很失望啦好不好好謝謝所以處長當面跟委員報告這樣是這意思嗎處長先了解狀況好不好好謝謝好謝謝葉委員也謝謝我們王董事長
transcript.whisperx[489].start 13650.438
transcript.whisperx[489].end 13663.051
transcript.whisperx[489].text 登記諮詢委員都發言完畢我們做以下決定報告及詢談完畢委員在諮詢中要求提供相關的書面資料和未及答覆部分請預言會跟交通部以及相關單位儘速以書面來答覆
transcript.whisperx[490].start 13664.178
transcript.whisperx[490].end 13681.346
transcript.whisperx[490].text 針對今天的會議我們做以下決議115年度國家運輸安全調查委員會單位預算及中華郵政公司營業預算審查報告及取答完畢令定期進行處理委員提案在5月11日下午4點截止收件散會