iVOD / 17463

Field Value
IVOD_ID 17463
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17463
日期 2026-05-25
會議資料.會議代碼 委員會-11-5-23-15
會議資料.會議代碼:str 第11屆第5會期交通委員會第15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 15
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15次全體委員會議
影片種類 Full
開始時間 2026-05-25T08:36:01+08:00
結束時間 2026-05-25T13:37:00+08:00
影片長度 05:00:59
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302ddb28ae05505236aa7ce8fe875dd2a2890601341028818003d084144bceadae6045ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-05-25T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第15次全體委員會議(事由:一、繼續審查115年度中央政府總預算案關於交通部中央氣象署單位預算。 二、繼續審查115年度中央政府總預算案關於交通部觀光署及所屬單位預算。 三、繼續審查115年度中央政府總預算案直轄市及縣市政府一般性補助款-交通部主管第4目觀光署及所屬。 四、繼續審查115年度中央政府總預算案關於交通部公路局及所屬單位預算。 五、繼續審查115年度中央政府總預算案直轄市及縣市政府一般性補助款-交通部主管第2目公路局及所屬。 六、繼續審查115年度中央政府總預算案關於交通部航港局單位預算。 七、繼續審查115年度中央政府總預算案直轄市及縣市政府一般性補助款-交通部主管第3目航港局。 八、繼續審查115年度中央政府總預算案附屬單位預算非營業部分關於交通部主管航港建設基金非營業預算。 九、繼續審查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臺灣港務股份有限公司營業預算。 【本次會議進行處理】【5月25日、27日及28日三天一次會】)
委員名稱 完整會議
委員發言時間 08:36:01 - 13:37:00
transcript.pyannote[0].speaker SPEAKER_10
transcript.pyannote[0].start 1864.54971875
transcript.pyannote[0].end 1867.77284375
transcript.pyannote[1].speaker SPEAKER_10
transcript.pyannote[1].start 1868.14409375
transcript.pyannote[1].end 1871.53596875
transcript.pyannote[2].speaker SPEAKER_10
transcript.pyannote[2].start 1871.62034375
transcript.pyannote[2].end 1872.41346875
transcript.pyannote[3].speaker SPEAKER_10
transcript.pyannote[3].start 1873.20659375
transcript.pyannote[3].end 1876.68284375
transcript.pyannote[4].speaker SPEAKER_10
transcript.pyannote[4].start 1881.42471875
transcript.pyannote[4].end 1884.00659375
transcript.pyannote[5].speaker SPEAKER_14
transcript.pyannote[5].start 1884.47909375
transcript.pyannote[5].end 1884.96846875
transcript.pyannote[6].speaker SPEAKER_10
transcript.pyannote[6].start 1884.96846875
transcript.pyannote[6].end 1885.22159375
transcript.pyannote[7].speaker SPEAKER_14
transcript.pyannote[7].start 1885.22159375
transcript.pyannote[7].end 1885.37346875
transcript.pyannote[8].speaker SPEAKER_10
transcript.pyannote[8].start 1885.37346875
transcript.pyannote[8].end 1885.40721875
transcript.pyannote[9].speaker SPEAKER_14
transcript.pyannote[9].start 1885.40721875
transcript.pyannote[9].end 1885.44096875
transcript.pyannote[10].speaker SPEAKER_10
transcript.pyannote[10].start 1885.44096875
transcript.pyannote[10].end 1885.49159375
transcript.pyannote[11].speaker SPEAKER_14
transcript.pyannote[11].start 1885.49159375
transcript.pyannote[11].end 1885.50846875
transcript.pyannote[12].speaker SPEAKER_14
transcript.pyannote[12].start 1886.20034375
transcript.pyannote[12].end 1886.97659375
transcript.pyannote[13].speaker SPEAKER_10
transcript.pyannote[13].start 1886.97659375
transcript.pyannote[13].end 1887.02721875
transcript.pyannote[14].speaker SPEAKER_14
transcript.pyannote[14].start 1887.02721875
transcript.pyannote[14].end 1887.21284375
transcript.pyannote[15].speaker SPEAKER_14
transcript.pyannote[15].start 1887.56721875
transcript.pyannote[15].end 1888.17471875
transcript.pyannote[16].speaker SPEAKER_14
transcript.pyannote[16].start 1892.00534375
transcript.pyannote[16].end 1892.52846875
transcript.pyannote[17].speaker SPEAKER_14
transcript.pyannote[17].start 1892.76471875
transcript.pyannote[17].end 1895.39721875
transcript.pyannote[18].speaker SPEAKER_14
transcript.pyannote[18].start 1896.35909375
transcript.pyannote[18].end 1899.97034375
transcript.pyannote[19].speaker SPEAKER_10
transcript.pyannote[19].start 1899.97034375
transcript.pyannote[19].end 1908.08721875
transcript.pyannote[20].speaker SPEAKER_10
transcript.pyannote[20].start 1908.35721875
transcript.pyannote[20].end 1910.36534375
transcript.pyannote[21].speaker SPEAKER_10
transcript.pyannote[21].start 1910.55096875
transcript.pyannote[21].end 1913.70659375
transcript.pyannote[22].speaker SPEAKER_16
transcript.pyannote[22].start 1926.17721875
transcript.pyannote[22].end 1926.26159375
transcript.pyannote[23].speaker SPEAKER_14
transcript.pyannote[23].start 1929.72096875
transcript.pyannote[23].end 1938.02346875
transcript.pyannote[24].speaker SPEAKER_14
transcript.pyannote[24].start 1938.41159375
transcript.pyannote[24].end 1938.61409375
transcript.pyannote[25].speaker SPEAKER_14
transcript.pyannote[25].start 1938.63096875
transcript.pyannote[25].end 1938.64784375
transcript.pyannote[26].speaker SPEAKER_14
transcript.pyannote[26].start 1945.97159375
transcript.pyannote[26].end 1946.03909375
transcript.pyannote[27].speaker SPEAKER_15
transcript.pyannote[27].start 1961.51346875
transcript.pyannote[27].end 1962.47534375
transcript.pyannote[28].speaker SPEAKER_15
transcript.pyannote[28].start 1962.62721875
transcript.pyannote[28].end 1963.03221875
transcript.pyannote[29].speaker SPEAKER_15
transcript.pyannote[29].start 1972.97159375
transcript.pyannote[29].end 1974.20346875
transcript.pyannote[30].speaker SPEAKER_15
transcript.pyannote[30].start 1974.37221875
transcript.pyannote[30].end 1974.38909375
transcript.pyannote[31].speaker SPEAKER_14
transcript.pyannote[31].start 1974.38909375
transcript.pyannote[31].end 1974.91221875
transcript.pyannote[32].speaker SPEAKER_15
transcript.pyannote[32].start 1974.91221875
transcript.pyannote[32].end 1975.46909375
transcript.pyannote[33].speaker SPEAKER_14
transcript.pyannote[33].start 1976.39721875
transcript.pyannote[33].end 1982.91096875
transcript.pyannote[34].speaker SPEAKER_15
transcript.pyannote[34].start 1977.93284375
transcript.pyannote[34].end 1977.94971875
transcript.pyannote[35].speaker SPEAKER_16
transcript.pyannote[35].start 1977.94971875
transcript.pyannote[35].end 1977.98346875
transcript.pyannote[36].speaker SPEAKER_15
transcript.pyannote[36].start 1977.98346875
transcript.pyannote[36].end 1989.03659375
transcript.pyannote[37].speaker SPEAKER_15
transcript.pyannote[37].start 1989.54284375
transcript.pyannote[37].end 1990.43721875
transcript.pyannote[38].speaker SPEAKER_14
transcript.pyannote[38].start 1991.09534375
transcript.pyannote[38].end 1993.77846875
transcript.pyannote[39].speaker SPEAKER_15
transcript.pyannote[39].start 1993.77846875
transcript.pyannote[39].end 1995.34784375
transcript.pyannote[40].speaker SPEAKER_14
transcript.pyannote[40].start 1995.34784375
transcript.pyannote[40].end 1996.51221875
transcript.pyannote[41].speaker SPEAKER_15
transcript.pyannote[41].start 1995.41534375
transcript.pyannote[41].end 1996.36034375
transcript.pyannote[42].speaker SPEAKER_15
transcript.pyannote[42].start 1996.51221875
transcript.pyannote[42].end 1996.56284375
transcript.pyannote[43].speaker SPEAKER_15
transcript.pyannote[43].start 1999.34721875
transcript.pyannote[43].end 2000.74784375
transcript.pyannote[44].speaker SPEAKER_15
transcript.pyannote[44].start 2001.22034375
transcript.pyannote[44].end 2001.81096875
transcript.pyannote[45].speaker SPEAKER_14
transcript.pyannote[45].start 2003.83596875
transcript.pyannote[45].end 2003.95409375
transcript.pyannote[46].speaker SPEAKER_15
transcript.pyannote[46].start 2003.95409375
transcript.pyannote[46].end 2004.03846875
transcript.pyannote[47].speaker SPEAKER_14
transcript.pyannote[47].start 2004.03846875
transcript.pyannote[47].end 2005.54034375
transcript.pyannote[48].speaker SPEAKER_15
transcript.pyannote[48].start 2005.30409375
transcript.pyannote[48].end 2008.81409375
transcript.pyannote[49].speaker SPEAKER_15
transcript.pyannote[49].start 2009.42159375
transcript.pyannote[49].end 2010.48471875
transcript.pyannote[50].speaker SPEAKER_15
transcript.pyannote[50].start 2010.90659375
transcript.pyannote[50].end 2011.42971875
transcript.pyannote[51].speaker SPEAKER_15
transcript.pyannote[51].start 2011.95284375
transcript.pyannote[51].end 2012.96534375
transcript.pyannote[52].speaker SPEAKER_14
transcript.pyannote[52].start 2012.96534375
transcript.pyannote[52].end 2013.38721875
transcript.pyannote[53].speaker SPEAKER_15
transcript.pyannote[53].start 2013.38721875
transcript.pyannote[53].end 2013.65721875
transcript.pyannote[54].speaker SPEAKER_15
transcript.pyannote[54].start 2028.52409375
transcript.pyannote[54].end 2030.02596875
transcript.pyannote[55].speaker SPEAKER_15
transcript.pyannote[55].start 2030.97096875
transcript.pyannote[55].end 2031.74721875
transcript.pyannote[56].speaker SPEAKER_15
transcript.pyannote[56].start 2031.96659375
transcript.pyannote[56].end 2032.03409375
transcript.pyannote[57].speaker SPEAKER_15
transcript.pyannote[57].start 2032.30409375
transcript.pyannote[57].end 2032.47284375
transcript.pyannote[58].speaker SPEAKER_15
transcript.pyannote[58].start 2065.96971875
transcript.pyannote[58].end 2080.81971875
transcript.pyannote[59].speaker SPEAKER_14
transcript.pyannote[59].start 2079.26721875
transcript.pyannote[59].end 2080.29659375
transcript.pyannote[60].speaker SPEAKER_14
transcript.pyannote[60].start 2080.97159375
transcript.pyannote[60].end 2084.43096875
transcript.pyannote[61].speaker SPEAKER_14
transcript.pyannote[61].start 2084.49846875
transcript.pyannote[61].end 2086.97909375
transcript.pyannote[62].speaker SPEAKER_15
transcript.pyannote[62].start 2086.30409375
transcript.pyannote[62].end 2091.87284375
transcript.pyannote[63].speaker SPEAKER_15
transcript.pyannote[63].start 2091.99096875
transcript.pyannote[63].end 2094.45471875
transcript.pyannote[64].speaker SPEAKER_14
transcript.pyannote[64].start 2105.91284375
transcript.pyannote[64].end 2106.26721875
transcript.pyannote[65].speaker SPEAKER_14
transcript.pyannote[65].start 2107.38096875
transcript.pyannote[65].end 2115.73409375
transcript.pyannote[66].speaker SPEAKER_14
transcript.pyannote[66].start 2115.83534375
transcript.pyannote[66].end 2115.93659375
transcript.pyannote[67].speaker SPEAKER_16
transcript.pyannote[67].start 2115.93659375
transcript.pyannote[67].end 2116.03784375
transcript.pyannote[68].speaker SPEAKER_14
transcript.pyannote[68].start 2116.03784375
transcript.pyannote[68].end 2116.29096875
transcript.pyannote[69].speaker SPEAKER_14
transcript.pyannote[69].start 2117.43846875
transcript.pyannote[69].end 2120.05409375
transcript.pyannote[70].speaker SPEAKER_09
transcript.pyannote[70].start 2120.05409375
transcript.pyannote[70].end 2120.17221875
transcript.pyannote[71].speaker SPEAKER_14
transcript.pyannote[71].start 2120.17221875
transcript.pyannote[71].end 2121.64034375
transcript.pyannote[72].speaker SPEAKER_09
transcript.pyannote[72].start 2120.72909375
transcript.pyannote[72].end 2121.21846875
transcript.pyannote[73].speaker SPEAKER_09
transcript.pyannote[73].start 2121.26909375
transcript.pyannote[73].end 2121.55596875
transcript.pyannote[74].speaker SPEAKER_09
transcript.pyannote[74].start 2121.64034375
transcript.pyannote[74].end 2121.72471875
transcript.pyannote[75].speaker SPEAKER_14
transcript.pyannote[75].start 2121.72471875
transcript.pyannote[75].end 2121.82596875
transcript.pyannote[76].speaker SPEAKER_09
transcript.pyannote[76].start 2121.82596875
transcript.pyannote[76].end 2122.63596875
transcript.pyannote[77].speaker SPEAKER_14
transcript.pyannote[77].start 2121.92721875
transcript.pyannote[77].end 2122.83846875
transcript.pyannote[78].speaker SPEAKER_15
transcript.pyannote[78].start 2122.83846875
transcript.pyannote[78].end 2123.00721875
transcript.pyannote[79].speaker SPEAKER_09
transcript.pyannote[79].start 2123.00721875
transcript.pyannote[79].end 2123.29409375
transcript.pyannote[80].speaker SPEAKER_09
transcript.pyannote[80].start 2123.42909375
transcript.pyannote[80].end 2126.09534375
transcript.pyannote[81].speaker SPEAKER_14
transcript.pyannote[81].start 2124.64409375
transcript.pyannote[81].end 2125.58909375
transcript.pyannote[82].speaker SPEAKER_14
transcript.pyannote[82].start 2126.09534375
transcript.pyannote[82].end 2126.58471875
transcript.pyannote[83].speaker SPEAKER_09
transcript.pyannote[83].start 2126.58471875
transcript.pyannote[83].end 2126.97284375
transcript.pyannote[84].speaker SPEAKER_14
transcript.pyannote[84].start 2126.97284375
transcript.pyannote[84].end 2134.43159375
transcript.pyannote[85].speaker SPEAKER_09
transcript.pyannote[85].start 2128.15409375
transcript.pyannote[85].end 2128.22159375
transcript.pyannote[86].speaker SPEAKER_16
transcript.pyannote[86].start 2128.22159375
transcript.pyannote[86].end 2132.42346875
transcript.pyannote[87].speaker SPEAKER_15
transcript.pyannote[87].start 2138.65034375
transcript.pyannote[87].end 2138.81909375
transcript.pyannote[88].speaker SPEAKER_15
transcript.pyannote[88].start 2165.27909375
transcript.pyannote[88].end 2167.15221875
transcript.pyannote[89].speaker SPEAKER_14
transcript.pyannote[89].start 2166.15659375
transcript.pyannote[89].end 2167.01721875
transcript.pyannote[90].speaker SPEAKER_14
transcript.pyannote[90].start 2167.15221875
transcript.pyannote[90].end 2170.03784375
transcript.pyannote[91].speaker SPEAKER_14
transcript.pyannote[91].start 2171.01659375
transcript.pyannote[91].end 2177.95221875
transcript.pyannote[92].speaker SPEAKER_14
transcript.pyannote[92].start 2178.52596875
transcript.pyannote[92].end 2183.94284375
transcript.pyannote[93].speaker SPEAKER_16
transcript.pyannote[93].start 2180.04471875
transcript.pyannote[93].end 2181.96846875
transcript.pyannote[94].speaker SPEAKER_15
transcript.pyannote[94].start 2181.96846875
transcript.pyannote[94].end 2182.13721875
transcript.pyannote[95].speaker SPEAKER_16
transcript.pyannote[95].start 2189.00534375
transcript.pyannote[95].end 2189.03909375
transcript.pyannote[96].speaker SPEAKER_16
transcript.pyannote[96].start 2189.08971875
transcript.pyannote[96].end 2190.38909375
transcript.pyannote[97].speaker SPEAKER_15
transcript.pyannote[97].start 2202.97784375
transcript.pyannote[97].end 2203.02846875
transcript.pyannote[98].speaker SPEAKER_15
transcript.pyannote[98].start 2203.04534375
transcript.pyannote[98].end 2203.18034375
transcript.pyannote[99].speaker SPEAKER_15
transcript.pyannote[99].start 2206.42034375
transcript.pyannote[99].end 2210.53784375
transcript.pyannote[100].speaker SPEAKER_15
transcript.pyannote[100].start 2210.77409375
transcript.pyannote[100].end 2211.55034375
transcript.pyannote[101].speaker SPEAKER_15
transcript.pyannote[101].start 2226.97409375
transcript.pyannote[101].end 2227.02471875
transcript.pyannote[102].speaker SPEAKER_15
transcript.pyannote[102].start 2227.14284375
transcript.pyannote[102].end 2228.30721875
transcript.pyannote[103].speaker SPEAKER_15
transcript.pyannote[103].start 2228.96534375
transcript.pyannote[103].end 2230.68659375
transcript.pyannote[104].speaker SPEAKER_15
transcript.pyannote[104].start 2230.97346875
transcript.pyannote[104].end 2231.02409375
transcript.pyannote[105].speaker SPEAKER_15
transcript.pyannote[105].start 2295.97596875
transcript.pyannote[105].end 2296.02659375
transcript.pyannote[106].speaker SPEAKER_15
transcript.pyannote[106].start 2311.09596875
transcript.pyannote[106].end 2311.56846875
transcript.pyannote[107].speaker SPEAKER_15
transcript.pyannote[107].start 2311.58534375
transcript.pyannote[107].end 2311.68659375
transcript.pyannote[108].speaker SPEAKER_15
transcript.pyannote[108].start 2364.64034375
transcript.pyannote[108].end 2366.44596875
transcript.pyannote[109].speaker SPEAKER_09
transcript.pyannote[109].start 2390.94846875
transcript.pyannote[109].end 2393.27721875
transcript.pyannote[110].speaker SPEAKER_09
transcript.pyannote[110].start 2393.56409375
transcript.pyannote[110].end 2396.17971875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 2397.22596875
transcript.pyannote[111].end 2409.22409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 2409.88221875
transcript.pyannote[112].end 2412.00846875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 2412.32909375
transcript.pyannote[113].end 2416.10909375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 2416.29471875
transcript.pyannote[114].end 2420.17596875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 2420.26034375
transcript.pyannote[115].end 2422.43721875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 2422.80846875
transcript.pyannote[116].end 2424.58034375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 2425.59284375
transcript.pyannote[117].end 2428.79909375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 2428.98471875
transcript.pyannote[118].end 2438.56971875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 2439.04221875
transcript.pyannote[119].end 2447.44596875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 2448.47534375
transcript.pyannote[120].end 2452.57596875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 2452.74471875
transcript.pyannote[121].end 2461.87409375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 2462.05971875
transcript.pyannote[122].end 2465.41784375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 2465.77221875
transcript.pyannote[123].end 2471.32409375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 2471.69534375
transcript.pyannote[124].end 2473.41659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 2473.60221875
transcript.pyannote[125].end 2488.26659375
transcript.pyannote[126].speaker SPEAKER_09
transcript.pyannote[126].start 2490.98346875
transcript.pyannote[126].end 2493.14346875
transcript.pyannote[127].speaker SPEAKER_09
transcript.pyannote[127].start 2494.78034375
transcript.pyannote[127].end 2495.80971875
transcript.pyannote[128].speaker SPEAKER_09
transcript.pyannote[128].start 2496.18096875
transcript.pyannote[128].end 2497.07534375
transcript.pyannote[129].speaker SPEAKER_09
transcript.pyannote[129].start 2497.59846875
transcript.pyannote[129].end 2501.42909375
transcript.pyannote[130].speaker SPEAKER_09
transcript.pyannote[130].start 2504.90534375
transcript.pyannote[130].end 2506.01909375
transcript.pyannote[131].speaker SPEAKER_09
transcript.pyannote[131].start 2508.28034375
transcript.pyannote[131].end 2509.49534375
transcript.pyannote[132].speaker SPEAKER_09
transcript.pyannote[132].start 2511.79034375
transcript.pyannote[132].end 2512.97159375
transcript.pyannote[133].speaker SPEAKER_09
transcript.pyannote[133].start 2515.36784375
transcript.pyannote[133].end 2517.27471875
transcript.pyannote[134].speaker SPEAKER_09
transcript.pyannote[134].start 2517.74721875
transcript.pyannote[134].end 2519.94096875
transcript.pyannote[135].speaker SPEAKER_09
transcript.pyannote[135].start 2522.10096875
transcript.pyannote[135].end 2523.99096875
transcript.pyannote[136].speaker SPEAKER_09
transcript.pyannote[136].start 2526.21846875
transcript.pyannote[136].end 2528.32784375
transcript.pyannote[137].speaker SPEAKER_09
transcript.pyannote[137].start 2529.94784375
transcript.pyannote[137].end 2532.79971875
transcript.pyannote[138].speaker SPEAKER_09
transcript.pyannote[138].start 2535.12846875
transcript.pyannote[138].end 2538.28409375
transcript.pyannote[139].speaker SPEAKER_09
transcript.pyannote[139].start 2540.10659375
transcript.pyannote[139].end 2542.90784375
transcript.pyannote[140].speaker SPEAKER_09
transcript.pyannote[140].start 2550.21471875
transcript.pyannote[140].end 2550.55221875
transcript.pyannote[141].speaker SPEAKER_09
transcript.pyannote[141].start 2552.62784375
transcript.pyannote[141].end 2578.19346875
transcript.pyannote[142].speaker SPEAKER_09
transcript.pyannote[142].start 2578.26096875
transcript.pyannote[142].end 2585.33159375
transcript.pyannote[143].speaker SPEAKER_09
transcript.pyannote[143].start 2586.88409375
transcript.pyannote[143].end 2591.25471875
transcript.pyannote[144].speaker SPEAKER_09
transcript.pyannote[144].start 2595.62534375
transcript.pyannote[144].end 2599.28721875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 2619.36846875
transcript.pyannote[145].end 2621.54534375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 2622.47346875
transcript.pyannote[146].end 2623.11471875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 2623.45221875
transcript.pyannote[147].end 2626.15221875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 2627.51909375
transcript.pyannote[148].end 2628.43034375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 2628.66659375
transcript.pyannote[149].end 2631.85596875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 2632.91909375
transcript.pyannote[150].end 2648.10659375
transcript.pyannote[151].speaker SPEAKER_16
transcript.pyannote[151].start 2645.08596875
transcript.pyannote[151].end 2645.30534375
transcript.pyannote[152].speaker SPEAKER_16
transcript.pyannote[152].start 2647.14471875
transcript.pyannote[152].end 2647.39784375
transcript.pyannote[153].speaker SPEAKER_16
transcript.pyannote[153].start 2647.46534375
transcript.pyannote[153].end 2647.48221875
transcript.pyannote[154].speaker SPEAKER_16
transcript.pyannote[154].start 2647.49909375
transcript.pyannote[154].end 2647.51596875
transcript.pyannote[155].speaker SPEAKER_16
transcript.pyannote[155].start 2648.10659375
transcript.pyannote[155].end 2648.44409375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 2648.44409375
transcript.pyannote[156].end 2648.47784375
transcript.pyannote[157].speaker SPEAKER_16
transcript.pyannote[157].start 2648.47784375
transcript.pyannote[157].end 2648.51159375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 2648.51159375
transcript.pyannote[158].end 2650.11471875
transcript.pyannote[159].speaker SPEAKER_07
transcript.pyannote[159].start 2650.31721875
transcript.pyannote[159].end 2679.32534375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 2668.45784375
transcript.pyannote[160].end 2669.31846875
transcript.pyannote[161].speaker SPEAKER_09
transcript.pyannote[161].start 2669.31846875
transcript.pyannote[161].end 2669.43659375
transcript.pyannote[162].speaker SPEAKER_16
transcript.pyannote[162].start 2669.43659375
transcript.pyannote[162].end 2669.72346875
transcript.pyannote[163].speaker SPEAKER_09
transcript.pyannote[163].start 2669.72346875
transcript.pyannote[163].end 2669.87534375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 2669.87534375
transcript.pyannote[164].end 2669.94284375
transcript.pyannote[165].speaker SPEAKER_16
transcript.pyannote[165].start 2679.32534375
transcript.pyannote[165].end 2679.89909375
transcript.pyannote[166].speaker SPEAKER_07
transcript.pyannote[166].start 2679.89909375
transcript.pyannote[166].end 2692.96034375
transcript.pyannote[167].speaker SPEAKER_16
transcript.pyannote[167].start 2681.72159375
transcript.pyannote[167].end 2682.04221875
transcript.pyannote[168].speaker SPEAKER_16
transcript.pyannote[168].start 2682.22784375
transcript.pyannote[168].end 2682.32909375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 2693.50034375
transcript.pyannote[169].end 2694.41159375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 2695.67721875
transcript.pyannote[170].end 2697.95534375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 2699.98034375
transcript.pyannote[171].end 2701.60034375
transcript.pyannote[172].speaker SPEAKER_16
transcript.pyannote[172].start 2701.60034375
transcript.pyannote[172].end 2703.01784375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 2703.01784375
transcript.pyannote[173].end 2716.68659375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 2716.97346875
transcript.pyannote[174].end 2739.24846875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 2739.75471875
transcript.pyannote[175].end 2745.37409375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 2745.82971875
transcript.pyannote[176].end 2754.94221875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 2755.46534375
transcript.pyannote[177].end 2763.48096875
transcript.pyannote[178].speaker SPEAKER_16
transcript.pyannote[178].start 2763.26159375
transcript.pyannote[178].end 2763.85221875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 2763.85221875
transcript.pyannote[179].end 2765.97846875
transcript.pyannote[180].speaker SPEAKER_10
transcript.pyannote[180].start 2765.97846875
transcript.pyannote[180].end 2797.66971875
transcript.pyannote[181].speaker SPEAKER_10
transcript.pyannote[181].start 2797.73721875
transcript.pyannote[181].end 2838.86159375
transcript.pyannote[182].speaker SPEAKER_10
transcript.pyannote[182].start 2838.96284375
transcript.pyannote[182].end 2838.97971875
transcript.pyannote[183].speaker SPEAKER_10
transcript.pyannote[183].start 2839.04721875
transcript.pyannote[183].end 2841.62909375
transcript.pyannote[184].speaker SPEAKER_10
transcript.pyannote[184].start 2843.08034375
transcript.pyannote[184].end 2848.64909375
transcript.pyannote[185].speaker SPEAKER_10
transcript.pyannote[185].start 2848.90221875
transcript.pyannote[185].end 2857.69409375
transcript.pyannote[186].speaker SPEAKER_07
transcript.pyannote[186].start 2857.57596875
transcript.pyannote[186].end 2870.36721875
transcript.pyannote[187].speaker SPEAKER_07
transcript.pyannote[187].start 2870.55284375
transcript.pyannote[187].end 2876.93159375
transcript.pyannote[188].speaker SPEAKER_07
transcript.pyannote[188].start 2877.11721875
transcript.pyannote[188].end 2888.89596875
transcript.pyannote[189].speaker SPEAKER_07
transcript.pyannote[189].start 2889.18284375
transcript.pyannote[189].end 2891.89971875
transcript.pyannote[190].speaker SPEAKER_07
transcript.pyannote[190].start 2892.28784375
transcript.pyannote[190].end 2900.13471875
transcript.pyannote[191].speaker SPEAKER_07
transcript.pyannote[191].start 2900.23596875
transcript.pyannote[191].end 2910.17534375
transcript.pyannote[192].speaker SPEAKER_07
transcript.pyannote[192].start 2910.36096875
transcript.pyannote[192].end 2924.24909375
transcript.pyannote[193].speaker SPEAKER_16
transcript.pyannote[193].start 2924.24909375
transcript.pyannote[193].end 2926.94909375
transcript.pyannote[194].speaker SPEAKER_09
transcript.pyannote[194].start 2927.43846875
transcript.pyannote[194].end 2931.03284375
transcript.pyannote[195].speaker SPEAKER_09
transcript.pyannote[195].start 2931.33659375
transcript.pyannote[195].end 2938.08659375
transcript.pyannote[196].speaker SPEAKER_09
transcript.pyannote[196].start 2938.45784375
transcript.pyannote[196].end 2941.05659375
transcript.pyannote[197].speaker SPEAKER_09
transcript.pyannote[197].start 2941.39409375
transcript.pyannote[197].end 2943.89159375
transcript.pyannote[198].speaker SPEAKER_09
transcript.pyannote[198].start 2944.34721875
transcript.pyannote[198].end 2965.79534375
transcript.pyannote[199].speaker SPEAKER_16
transcript.pyannote[199].start 2965.79534375
transcript.pyannote[199].end 2966.26784375
transcript.pyannote[200].speaker SPEAKER_09
transcript.pyannote[200].start 2966.40284375
transcript.pyannote[200].end 2977.45596875
transcript.pyannote[201].speaker SPEAKER_07
transcript.pyannote[201].start 2979.02534375
transcript.pyannote[201].end 2993.58846875
transcript.pyannote[202].speaker SPEAKER_16
transcript.pyannote[202].start 2992.33971875
transcript.pyannote[202].end 2993.48721875
transcript.pyannote[203].speaker SPEAKER_16
transcript.pyannote[203].start 2993.77409375
transcript.pyannote[203].end 2994.97221875
transcript.pyannote[204].speaker SPEAKER_07
transcript.pyannote[204].start 2994.97221875
transcript.pyannote[204].end 2996.18721875
transcript.pyannote[205].speaker SPEAKER_16
transcript.pyannote[205].start 2995.61346875
transcript.pyannote[205].end 2995.81596875
transcript.pyannote[206].speaker SPEAKER_17
transcript.pyannote[206].start 2995.81596875
transcript.pyannote[206].end 2995.83284375
transcript.pyannote[207].speaker SPEAKER_16
transcript.pyannote[207].start 2995.83284375
transcript.pyannote[207].end 2995.88346875
transcript.pyannote[208].speaker SPEAKER_16
transcript.pyannote[208].start 2995.90034375
transcript.pyannote[208].end 2995.96784375
transcript.pyannote[209].speaker SPEAKER_17
transcript.pyannote[209].start 2995.96784375
transcript.pyannote[209].end 2996.00159375
transcript.pyannote[210].speaker SPEAKER_17
transcript.pyannote[210].start 2996.03534375
transcript.pyannote[210].end 2996.05221875
transcript.pyannote[211].speaker SPEAKER_17
transcript.pyannote[211].start 2996.37284375
transcript.pyannote[211].end 3001.97534375
transcript.pyannote[212].speaker SPEAKER_07
transcript.pyannote[212].start 2997.80721875
transcript.pyannote[212].end 2999.24159375
transcript.pyannote[213].speaker SPEAKER_07
transcript.pyannote[213].start 3001.68846875
transcript.pyannote[213].end 3009.43409375
transcript.pyannote[214].speaker SPEAKER_16
transcript.pyannote[214].start 3001.97534375
transcript.pyannote[214].end 3002.61659375
transcript.pyannote[215].speaker SPEAKER_17
transcript.pyannote[215].start 3002.61659375
transcript.pyannote[215].end 3002.97096875
transcript.pyannote[216].speaker SPEAKER_16
transcript.pyannote[216].start 3002.97096875
transcript.pyannote[216].end 3003.17346875
transcript.pyannote[217].speaker SPEAKER_16
transcript.pyannote[217].start 3006.41346875
transcript.pyannote[217].end 3006.90284375
transcript.pyannote[218].speaker SPEAKER_07
transcript.pyannote[218].start 3010.36221875
transcript.pyannote[218].end 3012.55596875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 3012.69096875
transcript.pyannote[219].end 3023.86221875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 3024.38534375
transcript.pyannote[220].end 3036.58596875
transcript.pyannote[221].speaker SPEAKER_16
transcript.pyannote[221].start 3037.68284375
transcript.pyannote[221].end 3039.60659375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 3041.96909375
transcript.pyannote[222].end 3042.03659375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 3377.42721875
transcript.pyannote[223].end 3378.72659375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 3383.75534375
transcript.pyannote[224].end 3396.96846875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 3398.40284375
transcript.pyannote[225].end 3399.63471875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 3400.10721875
transcript.pyannote[226].end 3404.62971875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 3405.13596875
transcript.pyannote[227].end 3411.61596875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 3412.03784375
transcript.pyannote[228].end 3419.36159375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 3419.49659375
transcript.pyannote[229].end 3420.15471875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 3420.59346875
transcript.pyannote[230].end 3422.73659375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 3423.71534375
transcript.pyannote[231].end 3424.47471875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 3425.35221875
transcript.pyannote[232].end 3426.56721875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 3426.95534375
transcript.pyannote[233].end 3427.96784375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 3428.69346875
transcript.pyannote[234].end 3429.16596875
transcript.pyannote[235].speaker SPEAKER_12
transcript.pyannote[235].start 6254.05784375
transcript.pyannote[235].end 6254.56409375
transcript.pyannote[236].speaker SPEAKER_15
transcript.pyannote[236].start 6264.73971875
transcript.pyannote[236].end 6265.12784375
transcript.pyannote[237].speaker SPEAKER_15
transcript.pyannote[237].start 6410.08409375
transcript.pyannote[237].end 6411.16409375
transcript.pyannote[238].speaker SPEAKER_15
transcript.pyannote[238].start 6444.82971875
transcript.pyannote[238].end 6448.28909375
transcript.pyannote[239].speaker SPEAKER_15
transcript.pyannote[239].start 6459.96659375
transcript.pyannote[239].end 6460.00034375
transcript.pyannote[240].speaker SPEAKER_15
transcript.pyannote[240].start 6462.85221875
transcript.pyannote[240].end 6463.13909375
transcript.pyannote[241].speaker SPEAKER_08
transcript.pyannote[241].start 6488.43471875
transcript.pyannote[241].end 6492.31596875
transcript.pyannote[242].speaker SPEAKER_08
transcript.pyannote[242].start 6492.88971875
transcript.pyannote[242].end 6493.59846875
transcript.pyannote[243].speaker SPEAKER_08
transcript.pyannote[243].start 6494.27346875
transcript.pyannote[243].end 6495.70784375
transcript.pyannote[244].speaker SPEAKER_08
transcript.pyannote[244].start 6496.38284375
transcript.pyannote[244].end 6507.99284375
transcript.pyannote[245].speaker SPEAKER_08
transcript.pyannote[245].start 6511.87409375
transcript.pyannote[245].end 6513.22409375
transcript.pyannote[246].speaker SPEAKER_08
transcript.pyannote[246].start 6514.00034375
transcript.pyannote[246].end 6515.26596875
transcript.pyannote[247].speaker SPEAKER_08
transcript.pyannote[247].start 6516.02534375
transcript.pyannote[247].end 6518.94471875
transcript.pyannote[248].speaker SPEAKER_08
transcript.pyannote[248].start 6519.50159375
transcript.pyannote[248].end 6519.56909375
transcript.pyannote[249].speaker SPEAKER_08
transcript.pyannote[249].start 6519.63659375
transcript.pyannote[249].end 6520.53096875
transcript.pyannote[250].speaker SPEAKER_08
transcript.pyannote[250].start 6521.23971875
transcript.pyannote[250].end 6521.77971875
transcript.pyannote[251].speaker SPEAKER_08
transcript.pyannote[251].start 6524.36159375
transcript.pyannote[251].end 6527.09534375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 6533.20409375
transcript.pyannote[252].end 6540.94971875
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 6541.23659375
transcript.pyannote[253].end 6546.45096875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 6546.73784375
transcript.pyannote[254].end 6550.72034375
transcript.pyannote[255].speaker SPEAKER_16
transcript.pyannote[255].start 6550.72034375
transcript.pyannote[255].end 6551.00721875
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 6550.97346875
transcript.pyannote[256].end 6553.62284375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 6554.16284375
transcript.pyannote[257].end 6556.13721875
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 6556.54221875
transcript.pyannote[258].end 6559.09034375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 6559.79909375
transcript.pyannote[259].end 6562.83659375
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 6563.20784375
transcript.pyannote[260].end 6568.23659375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 6568.59096875
transcript.pyannote[261].end 6583.49159375
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 6583.76159375
transcript.pyannote[262].end 6589.76909375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 6589.93784375
transcript.pyannote[263].end 6596.26596875
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 6596.40096875
transcript.pyannote[264].end 6597.29534375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 6597.78471875
transcript.pyannote[265].end 6603.28596875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 6603.75846875
transcript.pyannote[266].end 6605.86784375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 6606.18846875
transcript.pyannote[267].end 6614.55846875
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 6615.03096875
transcript.pyannote[268].end 6626.18534375
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 6626.47221875
transcript.pyannote[269].end 6631.83846875
transcript.pyannote[270].speaker SPEAKER_08
transcript.pyannote[270].start 6632.74971875
transcript.pyannote[270].end 6635.97284375
transcript.pyannote[271].speaker SPEAKER_16
transcript.pyannote[271].start 6635.97284375
transcript.pyannote[271].end 6640.05659375
transcript.pyannote[272].speaker SPEAKER_08
transcript.pyannote[272].start 6636.86721875
transcript.pyannote[272].end 6637.96409375
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 6637.96409375
transcript.pyannote[273].end 6638.48721875
transcript.pyannote[274].speaker SPEAKER_04
transcript.pyannote[274].start 6640.63034375
transcript.pyannote[274].end 6677.13096875
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 6678.97034375
transcript.pyannote[275].end 6701.97096875
transcript.pyannote[276].speaker SPEAKER_08
transcript.pyannote[276].start 6702.44346875
transcript.pyannote[276].end 6705.86909375
transcript.pyannote[277].speaker SPEAKER_08
transcript.pyannote[277].start 6706.71284375
transcript.pyannote[277].end 6706.72971875
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 6706.72971875
transcript.pyannote[278].end 6707.89409375
transcript.pyannote[279].speaker SPEAKER_05
transcript.pyannote[279].start 6708.23159375
transcript.pyannote[279].end 6740.41221875
transcript.pyannote[280].speaker SPEAKER_05
transcript.pyannote[280].start 6741.12096875
transcript.pyannote[280].end 6743.46659375
transcript.pyannote[281].speaker SPEAKER_05
transcript.pyannote[281].start 6743.78721875
transcript.pyannote[281].end 6759.56534375
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 6760.15596875
transcript.pyannote[282].end 6781.82346875
transcript.pyannote[283].speaker SPEAKER_05
transcript.pyannote[283].start 6781.99221875
transcript.pyannote[283].end 6789.04596875
transcript.pyannote[284].speaker SPEAKER_05
transcript.pyannote[284].start 6789.48471875
transcript.pyannote[284].end 6793.87221875
transcript.pyannote[285].speaker SPEAKER_05
transcript.pyannote[285].start 6793.97346875
transcript.pyannote[285].end 6795.49221875
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 6795.59346875
transcript.pyannote[286].end 6797.92221875
transcript.pyannote[287].speaker SPEAKER_08
transcript.pyannote[287].start 6798.81659375
transcript.pyannote[287].end 6800.20034375
transcript.pyannote[288].speaker SPEAKER_08
transcript.pyannote[288].start 6801.24659375
transcript.pyannote[288].end 6802.64721875
transcript.pyannote[289].speaker SPEAKER_07
transcript.pyannote[289].start 6802.64721875
transcript.pyannote[289].end 6802.68096875
transcript.pyannote[290].speaker SPEAKER_07
transcript.pyannote[290].start 6804.90846875
transcript.pyannote[290].end 6810.13971875
transcript.pyannote[291].speaker SPEAKER_07
transcript.pyannote[291].start 6810.40971875
transcript.pyannote[291].end 6844.69971875
transcript.pyannote[292].speaker SPEAKER_07
transcript.pyannote[292].start 6844.96971875
transcript.pyannote[292].end 6904.36971875
transcript.pyannote[293].speaker SPEAKER_07
transcript.pyannote[293].start 6904.48784375
transcript.pyannote[293].end 6906.14159375
transcript.pyannote[294].speaker SPEAKER_17
transcript.pyannote[294].start 6906.27659375
transcript.pyannote[294].end 6919.77659375
transcript.pyannote[295].speaker SPEAKER_07
transcript.pyannote[295].start 6906.44534375
transcript.pyannote[295].end 6906.79971875
transcript.pyannote[296].speaker SPEAKER_17
transcript.pyannote[296].start 6919.89471875
transcript.pyannote[296].end 6936.44909375
transcript.pyannote[297].speaker SPEAKER_17
transcript.pyannote[297].start 6936.82034375
transcript.pyannote[297].end 6937.56284375
transcript.pyannote[298].speaker SPEAKER_17
transcript.pyannote[298].start 6938.05221875
transcript.pyannote[298].end 6942.84471875
transcript.pyannote[299].speaker SPEAKER_17
transcript.pyannote[299].start 6942.87846875
transcript.pyannote[299].end 6946.84409375
transcript.pyannote[300].speaker SPEAKER_08
transcript.pyannote[300].start 6947.78909375
transcript.pyannote[300].end 6947.83971875
transcript.pyannote[301].speaker SPEAKER_09
transcript.pyannote[301].start 6947.83971875
transcript.pyannote[301].end 6948.88596875
transcript.pyannote[302].speaker SPEAKER_08
transcript.pyannote[302].start 6948.88596875
transcript.pyannote[302].end 6949.49346875
transcript.pyannote[303].speaker SPEAKER_09
transcript.pyannote[303].start 6949.49346875
transcript.pyannote[303].end 7001.80596875
transcript.pyannote[304].speaker SPEAKER_09
transcript.pyannote[304].start 7002.02534375
transcript.pyannote[304].end 7004.23596875
transcript.pyannote[305].speaker SPEAKER_09
transcript.pyannote[305].start 7005.14721875
transcript.pyannote[305].end 7018.51221875
transcript.pyannote[306].speaker SPEAKER_08
transcript.pyannote[306].start 7019.13659375
transcript.pyannote[306].end 7023.10221875
transcript.pyannote[307].speaker SPEAKER_08
transcript.pyannote[307].start 7024.80659375
transcript.pyannote[307].end 7024.85721875
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 7024.85721875
transcript.pyannote[308].end 7045.64721875
transcript.pyannote[309].speaker SPEAKER_04
transcript.pyannote[309].start 7045.79909375
transcript.pyannote[309].end 7047.75659375
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 7048.44846875
transcript.pyannote[310].end 7050.65909375
transcript.pyannote[311].speaker SPEAKER_04
transcript.pyannote[311].start 7050.87846875
transcript.pyannote[311].end 7086.58596875
transcript.pyannote[312].speaker SPEAKER_04
transcript.pyannote[312].start 7086.90659375
transcript.pyannote[312].end 7094.53409375
transcript.pyannote[313].speaker SPEAKER_04
transcript.pyannote[313].start 7094.80409375
transcript.pyannote[313].end 7101.31784375
transcript.pyannote[314].speaker SPEAKER_04
transcript.pyannote[314].start 7101.57096875
transcript.pyannote[314].end 7106.51534375
transcript.pyannote[315].speaker SPEAKER_04
transcript.pyannote[315].start 7106.83596875
transcript.pyannote[315].end 7107.37596875
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 7107.54471875
transcript.pyannote[316].end 7125.98909375
transcript.pyannote[317].speaker SPEAKER_04
transcript.pyannote[317].start 7126.36034375
transcript.pyannote[317].end 7131.37221875
transcript.pyannote[318].speaker SPEAKER_04
transcript.pyannote[318].start 7131.59159375
transcript.pyannote[318].end 7153.79909375
transcript.pyannote[319].speaker SPEAKER_04
transcript.pyannote[319].start 7153.90034375
transcript.pyannote[319].end 7162.96221875
transcript.pyannote[320].speaker SPEAKER_04
transcript.pyannote[320].start 7163.21534375
transcript.pyannote[320].end 7163.72159375
transcript.pyannote[321].speaker SPEAKER_04
transcript.pyannote[321].start 7164.16034375
transcript.pyannote[321].end 7173.93096875
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 7174.38659375
transcript.pyannote[322].end 7183.54971875
transcript.pyannote[323].speaker SPEAKER_04
transcript.pyannote[323].start 7183.65096875
transcript.pyannote[323].end 7223.44221875
transcript.pyannote[324].speaker SPEAKER_04
transcript.pyannote[324].start 7224.04971875
transcript.pyannote[324].end 7237.88721875
transcript.pyannote[325].speaker SPEAKER_04
transcript.pyannote[325].start 7238.14034375
transcript.pyannote[325].end 7240.57034375
transcript.pyannote[326].speaker SPEAKER_04
transcript.pyannote[326].start 7240.65471875
transcript.pyannote[326].end 7264.41471875
transcript.pyannote[327].speaker SPEAKER_04
transcript.pyannote[327].start 7265.03909375
transcript.pyannote[327].end 7268.70096875
transcript.pyannote[328].speaker SPEAKER_04
transcript.pyannote[328].start 7268.85284375
transcript.pyannote[328].end 7269.34221875
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 7269.51096875
transcript.pyannote[329].end 7274.91096875
transcript.pyannote[330].speaker SPEAKER_04
transcript.pyannote[330].start 7275.34971875
transcript.pyannote[330].end 7326.80159375
transcript.pyannote[331].speaker SPEAKER_04
transcript.pyannote[331].start 7326.88596875
transcript.pyannote[331].end 7354.22346875
transcript.pyannote[332].speaker SPEAKER_04
transcript.pyannote[332].start 7354.72971875
transcript.pyannote[332].end 7357.04159375
transcript.pyannote[333].speaker SPEAKER_04
transcript.pyannote[333].start 7357.39596875
transcript.pyannote[333].end 7357.90221875
transcript.pyannote[334].speaker SPEAKER_04
transcript.pyannote[334].start 7359.42096875
transcript.pyannote[334].end 7361.85096875
transcript.pyannote[335].speaker SPEAKER_04
transcript.pyannote[335].start 7362.17159375
transcript.pyannote[335].end 7369.52909375
transcript.pyannote[336].speaker SPEAKER_04
transcript.pyannote[336].start 7369.95096875
transcript.pyannote[336].end 7406.45159375
transcript.pyannote[337].speaker SPEAKER_04
transcript.pyannote[337].start 7406.90721875
transcript.pyannote[337].end 7437.51846875
transcript.pyannote[338].speaker SPEAKER_04
transcript.pyannote[338].start 7437.87284375
transcript.pyannote[338].end 7442.07471875
transcript.pyannote[339].speaker SPEAKER_16
transcript.pyannote[339].start 7442.73284375
transcript.pyannote[339].end 7443.01971875
transcript.pyannote[340].speaker SPEAKER_04
transcript.pyannote[340].start 7443.10409375
transcript.pyannote[340].end 7444.75784375
transcript.pyannote[341].speaker SPEAKER_04
transcript.pyannote[341].start 7445.39909375
transcript.pyannote[341].end 7457.36346875
transcript.pyannote[342].speaker SPEAKER_04
transcript.pyannote[342].start 7458.20721875
transcript.pyannote[342].end 7482.62534375
transcript.pyannote[343].speaker SPEAKER_04
transcript.pyannote[343].start 7482.67596875
transcript.pyannote[343].end 7486.06784375
transcript.pyannote[344].speaker SPEAKER_04
transcript.pyannote[344].start 7486.43909375
transcript.pyannote[344].end 7487.14784375
transcript.pyannote[345].speaker SPEAKER_04
transcript.pyannote[345].start 7487.46846875
transcript.pyannote[345].end 7490.92784375
transcript.pyannote[346].speaker SPEAKER_04
transcript.pyannote[346].start 7491.19784375
transcript.pyannote[346].end 7504.07346875
transcript.pyannote[347].speaker SPEAKER_08
transcript.pyannote[347].start 7505.33909375
transcript.pyannote[347].end 7509.94596875
transcript.pyannote[348].speaker SPEAKER_05
transcript.pyannote[348].start 7511.22846875
transcript.pyannote[348].end 7512.22409375
transcript.pyannote[349].speaker SPEAKER_08
transcript.pyannote[349].start 7512.78096875
transcript.pyannote[349].end 7512.79784375
transcript.pyannote[350].speaker SPEAKER_05
transcript.pyannote[350].start 7512.79784375
transcript.pyannote[350].end 7517.64096875
transcript.pyannote[351].speaker SPEAKER_05
transcript.pyannote[351].start 7517.70846875
transcript.pyannote[351].end 7517.75909375
transcript.pyannote[352].speaker SPEAKER_05
transcript.pyannote[352].start 7517.97846875
transcript.pyannote[352].end 7539.40971875
transcript.pyannote[353].speaker SPEAKER_16
transcript.pyannote[353].start 7539.40971875
transcript.pyannote[353].end 7539.88221875
transcript.pyannote[354].speaker SPEAKER_05
transcript.pyannote[354].start 7539.69659375
transcript.pyannote[354].end 7540.59096875
transcript.pyannote[355].speaker SPEAKER_05
transcript.pyannote[355].start 7541.09721875
transcript.pyannote[355].end 7559.84534375
transcript.pyannote[356].speaker SPEAKER_05
transcript.pyannote[356].start 7560.23346875
transcript.pyannote[356].end 7563.03471875
transcript.pyannote[357].speaker SPEAKER_05
transcript.pyannote[357].start 7563.20346875
transcript.pyannote[357].end 7567.11846875
transcript.pyannote[358].speaker SPEAKER_09
transcript.pyannote[358].start 7569.21096875
transcript.pyannote[358].end 7569.37971875
transcript.pyannote[359].speaker SPEAKER_09
transcript.pyannote[359].start 7569.51471875
transcript.pyannote[359].end 7569.54846875
transcript.pyannote[360].speaker SPEAKER_08
transcript.pyannote[360].start 7569.54846875
transcript.pyannote[360].end 7570.66221875
transcript.pyannote[361].speaker SPEAKER_09
transcript.pyannote[361].start 7571.60721875
transcript.pyannote[361].end 7576.26471875
transcript.pyannote[362].speaker SPEAKER_09
transcript.pyannote[362].start 7576.78784375
transcript.pyannote[362].end 7578.18846875
transcript.pyannote[363].speaker SPEAKER_09
transcript.pyannote[363].start 7578.93096875
transcript.pyannote[363].end 7582.64346875
transcript.pyannote[364].speaker SPEAKER_09
transcript.pyannote[364].start 7583.11596875
transcript.pyannote[364].end 7590.74346875
transcript.pyannote[365].speaker SPEAKER_09
transcript.pyannote[365].start 7590.79409375
transcript.pyannote[365].end 7596.91971875
transcript.pyannote[366].speaker SPEAKER_09
transcript.pyannote[366].start 7597.02096875
transcript.pyannote[366].end 7598.10096875
transcript.pyannote[367].speaker SPEAKER_09
transcript.pyannote[367].start 7598.48909375
transcript.pyannote[367].end 7600.42971875
transcript.pyannote[368].speaker SPEAKER_09
transcript.pyannote[368].start 7601.20596875
transcript.pyannote[368].end 7605.91409375
transcript.pyannote[369].speaker SPEAKER_09
transcript.pyannote[369].start 7606.42034375
transcript.pyannote[369].end 7607.93909375
transcript.pyannote[370].speaker SPEAKER_09
transcript.pyannote[370].start 7608.74909375
transcript.pyannote[370].end 7624.56096875
transcript.pyannote[371].speaker SPEAKER_09
transcript.pyannote[371].start 7625.11784375
transcript.pyannote[371].end 7626.09659375
transcript.pyannote[372].speaker SPEAKER_09
transcript.pyannote[372].start 7626.61971875
transcript.pyannote[372].end 7641.40221875
transcript.pyannote[373].speaker SPEAKER_09
transcript.pyannote[373].start 7642.07721875
transcript.pyannote[373].end 7646.12721875
transcript.pyannote[374].speaker SPEAKER_09
transcript.pyannote[374].start 7646.56596875
transcript.pyannote[374].end 7652.32034375
transcript.pyannote[375].speaker SPEAKER_09
transcript.pyannote[375].start 7652.35409375
transcript.pyannote[375].end 7654.37909375
transcript.pyannote[376].speaker SPEAKER_09
transcript.pyannote[376].start 7654.90221875
transcript.pyannote[376].end 7657.97346875
transcript.pyannote[377].speaker SPEAKER_16
transcript.pyannote[377].start 7658.64846875
transcript.pyannote[377].end 7658.85096875
transcript.pyannote[378].speaker SPEAKER_09
transcript.pyannote[378].start 7658.85096875
transcript.pyannote[378].end 7660.23471875
transcript.pyannote[379].speaker SPEAKER_09
transcript.pyannote[379].start 7660.72409375
transcript.pyannote[379].end 7663.40721875
transcript.pyannote[380].speaker SPEAKER_16
transcript.pyannote[380].start 7663.40721875
transcript.pyannote[380].end 7663.64346875
transcript.pyannote[381].speaker SPEAKER_09
transcript.pyannote[381].start 7664.06534375
transcript.pyannote[381].end 7664.95971875
transcript.pyannote[382].speaker SPEAKER_09
transcript.pyannote[382].start 7665.31409375
transcript.pyannote[382].end 7666.46159375
transcript.pyannote[383].speaker SPEAKER_09
transcript.pyannote[383].start 7666.52909375
transcript.pyannote[383].end 7686.47534375
transcript.pyannote[384].speaker SPEAKER_04
transcript.pyannote[384].start 7687.82534375
transcript.pyannote[384].end 7701.44346875
transcript.pyannote[385].speaker SPEAKER_08
transcript.pyannote[385].start 7688.16284375
transcript.pyannote[385].end 7688.82096875
transcript.pyannote[386].speaker SPEAKER_04
transcript.pyannote[386].start 7702.50659375
transcript.pyannote[386].end 7710.10034375
transcript.pyannote[387].speaker SPEAKER_16
transcript.pyannote[387].start 7706.52284375
transcript.pyannote[387].end 7707.16409375
transcript.pyannote[388].speaker SPEAKER_16
transcript.pyannote[388].start 7710.16784375
transcript.pyannote[388].end 7712.04096875
transcript.pyannote[389].speaker SPEAKER_04
transcript.pyannote[389].start 7712.04096875
transcript.pyannote[389].end 7712.83409375
transcript.pyannote[390].speaker SPEAKER_16
transcript.pyannote[390].start 7712.14221875
transcript.pyannote[390].end 7712.29409375
transcript.pyannote[391].speaker SPEAKER_16
transcript.pyannote[391].start 7712.83409375
transcript.pyannote[391].end 7712.85096875
transcript.pyannote[392].speaker SPEAKER_04
transcript.pyannote[392].start 7712.85096875
transcript.pyannote[392].end 7713.07034375
transcript.pyannote[393].speaker SPEAKER_16
transcript.pyannote[393].start 7713.07034375
transcript.pyannote[393].end 7713.20534375
transcript.pyannote[394].speaker SPEAKER_04
transcript.pyannote[394].start 7713.20534375
transcript.pyannote[394].end 7713.96471875
transcript.pyannote[395].speaker SPEAKER_16
transcript.pyannote[395].start 7713.96471875
transcript.pyannote[395].end 7716.44534375
transcript.pyannote[396].speaker SPEAKER_04
transcript.pyannote[396].start 7714.84221875
transcript.pyannote[396].end 7730.53596875
transcript.pyannote[397].speaker SPEAKER_16
transcript.pyannote[397].start 7718.23409375
transcript.pyannote[397].end 7718.26784375
transcript.pyannote[398].speaker SPEAKER_16
transcript.pyannote[398].start 7718.30159375
transcript.pyannote[398].end 7718.33534375
transcript.pyannote[399].speaker SPEAKER_04
transcript.pyannote[399].start 7731.12659375
transcript.pyannote[399].end 7736.86409375
transcript.pyannote[400].speaker SPEAKER_04
transcript.pyannote[400].start 7737.06659375
transcript.pyannote[400].end 7742.55096875
transcript.pyannote[401].speaker SPEAKER_04
transcript.pyannote[401].start 7743.09096875
transcript.pyannote[401].end 7744.42409375
transcript.pyannote[402].speaker SPEAKER_04
transcript.pyannote[402].start 7744.94721875
transcript.pyannote[402].end 7749.77346875
transcript.pyannote[403].speaker SPEAKER_04
transcript.pyannote[403].start 7750.14471875
transcript.pyannote[403].end 7753.50284375
transcript.pyannote[404].speaker SPEAKER_04
transcript.pyannote[404].start 7753.73909375
transcript.pyannote[404].end 7756.67534375
transcript.pyannote[405].speaker SPEAKER_04
transcript.pyannote[405].start 7756.79346875
transcript.pyannote[405].end 7766.37846875
transcript.pyannote[406].speaker SPEAKER_04
transcript.pyannote[406].start 7766.59784375
transcript.pyannote[406].end 7768.94346875
transcript.pyannote[407].speaker SPEAKER_04
transcript.pyannote[407].start 7769.11221875
transcript.pyannote[407].end 7769.93909375
transcript.pyannote[408].speaker SPEAKER_04
transcript.pyannote[408].start 7770.00659375
transcript.pyannote[408].end 7770.04034375
transcript.pyannote[409].speaker SPEAKER_04
transcript.pyannote[409].start 7770.09096875
transcript.pyannote[409].end 7780.43534375
transcript.pyannote[410].speaker SPEAKER_04
transcript.pyannote[410].start 7780.84034375
transcript.pyannote[410].end 7782.22409375
transcript.pyannote[411].speaker SPEAKER_04
transcript.pyannote[411].start 7783.00034375
transcript.pyannote[411].end 7785.98721875
transcript.pyannote[412].speaker SPEAKER_04
transcript.pyannote[412].start 7786.37534375
transcript.pyannote[412].end 7795.45409375
transcript.pyannote[413].speaker SPEAKER_04
transcript.pyannote[413].start 7796.26409375
transcript.pyannote[413].end 7809.32534375
transcript.pyannote[414].speaker SPEAKER_04
transcript.pyannote[414].start 7809.78096875
transcript.pyannote[414].end 7824.71534375
transcript.pyannote[415].speaker SPEAKER_04
transcript.pyannote[415].start 7825.03596875
transcript.pyannote[415].end 7853.16659375
transcript.pyannote[416].speaker SPEAKER_16
transcript.pyannote[416].start 7853.97659375
transcript.pyannote[416].end 7854.31409375
transcript.pyannote[417].speaker SPEAKER_04
transcript.pyannote[417].start 7854.88784375
transcript.pyannote[417].end 7855.24221875
transcript.pyannote[418].speaker SPEAKER_16
transcript.pyannote[418].start 7854.97221875
transcript.pyannote[418].end 7855.83284375
transcript.pyannote[419].speaker SPEAKER_16
transcript.pyannote[419].start 7856.44034375
transcript.pyannote[419].end 7856.79471875
transcript.pyannote[420].speaker SPEAKER_04
transcript.pyannote[420].start 7857.03096875
transcript.pyannote[420].end 7917.67971875
transcript.pyannote[421].speaker SPEAKER_04
transcript.pyannote[421].start 7917.91596875
transcript.pyannote[421].end 7921.61159375
transcript.pyannote[422].speaker SPEAKER_08
transcript.pyannote[422].start 7923.26534375
transcript.pyannote[422].end 7926.96096875
transcript.pyannote[423].speaker SPEAKER_08
transcript.pyannote[423].start 7927.46721875
transcript.pyannote[423].end 7930.08284375
transcript.pyannote[424].speaker SPEAKER_08
transcript.pyannote[424].start 7930.53846875
transcript.pyannote[424].end 7931.11221875
transcript.pyannote[425].speaker SPEAKER_08
transcript.pyannote[425].start 7931.60159375
transcript.pyannote[425].end 7933.40721875
transcript.pyannote[426].speaker SPEAKER_08
transcript.pyannote[426].start 7933.79534375
transcript.pyannote[426].end 7937.08596875
transcript.pyannote[427].speaker SPEAKER_08
transcript.pyannote[427].start 7937.57534375
transcript.pyannote[427].end 7943.31284375
transcript.pyannote[428].speaker SPEAKER_08
transcript.pyannote[428].start 7943.61659375
transcript.pyannote[428].end 7945.62471875
transcript.pyannote[429].speaker SPEAKER_08
transcript.pyannote[429].start 7946.01284375
transcript.pyannote[429].end 7947.10971875
transcript.pyannote[430].speaker SPEAKER_08
transcript.pyannote[430].start 7947.95346875
transcript.pyannote[430].end 7948.29096875
transcript.pyannote[431].speaker SPEAKER_08
transcript.pyannote[431].start 7948.62846875
transcript.pyannote[431].end 7949.18534375
transcript.pyannote[432].speaker SPEAKER_08
transcript.pyannote[432].start 7949.67471875
transcript.pyannote[432].end 7950.19784375
transcript.pyannote[433].speaker SPEAKER_08
transcript.pyannote[433].start 7951.07534375
transcript.pyannote[433].end 7953.52221875
transcript.pyannote[434].speaker SPEAKER_08
transcript.pyannote[434].start 7953.62346875
transcript.pyannote[434].end 7954.78784375
transcript.pyannote[435].speaker SPEAKER_08
transcript.pyannote[435].start 7955.19284375
transcript.pyannote[435].end 7958.41596875
transcript.pyannote[436].speaker SPEAKER_04
transcript.pyannote[436].start 7957.92659375
transcript.pyannote[436].end 7959.44534375
transcript.pyannote[437].speaker SPEAKER_08
transcript.pyannote[437].start 7959.44534375
transcript.pyannote[437].end 7960.99784375
transcript.pyannote[438].speaker SPEAKER_04
transcript.pyannote[438].start 7959.46221875
transcript.pyannote[438].end 7961.80784375
transcript.pyannote[439].speaker SPEAKER_08
transcript.pyannote[439].start 7961.63909375
transcript.pyannote[439].end 7964.74409375
transcript.pyannote[440].speaker SPEAKER_08
transcript.pyannote[440].start 7966.21221875
transcript.pyannote[440].end 7972.37159375
transcript.pyannote[441].speaker SPEAKER_16
transcript.pyannote[441].start 7970.92034375
transcript.pyannote[441].end 7971.24096875
transcript.pyannote[442].speaker SPEAKER_16
transcript.pyannote[442].start 7972.60784375
transcript.pyannote[442].end 7982.26034375
transcript.pyannote[443].speaker SPEAKER_08
transcript.pyannote[443].start 7974.14346875
transcript.pyannote[443].end 7975.37534375
transcript.pyannote[444].speaker SPEAKER_08
transcript.pyannote[444].start 7979.64471875
transcript.pyannote[444].end 7979.88096875
transcript.pyannote[445].speaker SPEAKER_08
transcript.pyannote[445].start 7981.97346875
transcript.pyannote[445].end 7988.84159375
transcript.pyannote[446].speaker SPEAKER_16
transcript.pyannote[446].start 7989.14534375
transcript.pyannote[446].end 7989.90471875
transcript.pyannote[447].speaker SPEAKER_07
transcript.pyannote[447].start 7994.51159375
transcript.pyannote[447].end 8002.56096875
transcript.pyannote[448].speaker SPEAKER_07
transcript.pyannote[448].start 8003.21909375
transcript.pyannote[448].end 8009.64846875
transcript.pyannote[449].speaker SPEAKER_07
transcript.pyannote[449].start 8010.50909375
transcript.pyannote[449].end 8049.28784375
transcript.pyannote[450].speaker SPEAKER_08
transcript.pyannote[450].start 8049.50721875
transcript.pyannote[450].end 8051.58284375
transcript.pyannote[451].speaker SPEAKER_00
transcript.pyannote[451].start 8051.83596875
transcript.pyannote[451].end 8051.86971875
transcript.pyannote[452].speaker SPEAKER_08
transcript.pyannote[452].start 8051.86971875
transcript.pyannote[452].end 8052.32534375
transcript.pyannote[453].speaker SPEAKER_00
transcript.pyannote[453].start 8051.92034375
transcript.pyannote[453].end 8052.47721875
transcript.pyannote[454].speaker SPEAKER_00
transcript.pyannote[454].start 8052.62909375
transcript.pyannote[454].end 8059.00784375
transcript.pyannote[455].speaker SPEAKER_00
transcript.pyannote[455].start 8059.44659375
transcript.pyannote[455].end 8064.18846875
transcript.pyannote[456].speaker SPEAKER_00
transcript.pyannote[456].start 8064.30659375
transcript.pyannote[456].end 8092.15034375
transcript.pyannote[457].speaker SPEAKER_00
transcript.pyannote[457].start 8092.36971875
transcript.pyannote[457].end 8095.40721875
transcript.pyannote[458].speaker SPEAKER_00
transcript.pyannote[458].start 8095.84596875
transcript.pyannote[458].end 8098.93409375
transcript.pyannote[459].speaker SPEAKER_08
transcript.pyannote[459].start 8100.45284375
transcript.pyannote[459].end 8101.49909375
transcript.pyannote[460].speaker SPEAKER_08
transcript.pyannote[460].start 8101.92096875
transcript.pyannote[460].end 8103.69284375
transcript.pyannote[461].speaker SPEAKER_08
transcript.pyannote[461].start 8104.99221875
transcript.pyannote[461].end 8105.00909375
transcript.pyannote[462].speaker SPEAKER_02
transcript.pyannote[462].start 8105.00909375
transcript.pyannote[462].end 8112.53534375
transcript.pyannote[463].speaker SPEAKER_02
transcript.pyannote[463].start 8112.99096875
transcript.pyannote[463].end 8130.67596875
transcript.pyannote[464].speaker SPEAKER_02
transcript.pyannote[464].start 8131.11471875
transcript.pyannote[464].end 8134.79346875
transcript.pyannote[465].speaker SPEAKER_02
transcript.pyannote[465].start 8135.36721875
transcript.pyannote[465].end 8141.69534375
transcript.pyannote[466].speaker SPEAKER_02
transcript.pyannote[466].start 8141.91471875
transcript.pyannote[466].end 8149.18784375
transcript.pyannote[467].speaker SPEAKER_02
transcript.pyannote[467].start 8149.39034375
transcript.pyannote[467].end 8192.79284375
transcript.pyannote[468].speaker SPEAKER_02
transcript.pyannote[468].start 8192.99534375
transcript.pyannote[468].end 8195.99909375
transcript.pyannote[469].speaker SPEAKER_02
transcript.pyannote[469].start 8196.30284375
transcript.pyannote[469].end 8213.29596875
transcript.pyannote[470].speaker SPEAKER_02
transcript.pyannote[470].start 8213.53221875
transcript.pyannote[470].end 8218.89846875
transcript.pyannote[471].speaker SPEAKER_02
transcript.pyannote[471].start 8219.16846875
transcript.pyannote[471].end 8221.53096875
transcript.pyannote[472].speaker SPEAKER_08
transcript.pyannote[472].start 8222.08784375
transcript.pyannote[472].end 8224.53471875
transcript.pyannote[473].speaker SPEAKER_08
transcript.pyannote[473].start 8224.78784375
transcript.pyannote[473].end 8225.02409375
transcript.pyannote[474].speaker SPEAKER_04
transcript.pyannote[474].start 8225.02409375
transcript.pyannote[474].end 8227.01534375
transcript.pyannote[475].speaker SPEAKER_08
transcript.pyannote[475].start 8227.01534375
transcript.pyannote[475].end 8227.03221875
transcript.pyannote[476].speaker SPEAKER_04
transcript.pyannote[476].start 8227.38659375
transcript.pyannote[476].end 8255.41596875
transcript.pyannote[477].speaker SPEAKER_04
transcript.pyannote[477].start 8256.02346875
transcript.pyannote[477].end 8259.73596875
transcript.pyannote[478].speaker SPEAKER_04
transcript.pyannote[478].start 8260.00596875
transcript.pyannote[478].end 8291.76471875
transcript.pyannote[479].speaker SPEAKER_08
transcript.pyannote[479].start 8291.76471875
transcript.pyannote[479].end 8291.78159375
transcript.pyannote[480].speaker SPEAKER_08
transcript.pyannote[480].start 8293.38471875
transcript.pyannote[480].end 8306.47971875
transcript.pyannote[481].speaker SPEAKER_16
transcript.pyannote[481].start 8297.72159375
transcript.pyannote[481].end 8298.24471875
transcript.pyannote[482].speaker SPEAKER_16
transcript.pyannote[482].start 8300.01659375
transcript.pyannote[482].end 8301.41721875
transcript.pyannote[483].speaker SPEAKER_08
transcript.pyannote[483].start 8307.25596875
transcript.pyannote[483].end 8313.24659375
transcript.pyannote[484].speaker SPEAKER_16
transcript.pyannote[484].start 8313.24659375
transcript.pyannote[484].end 8315.59221875
transcript.pyannote[485].speaker SPEAKER_08
transcript.pyannote[485].start 8313.29721875
transcript.pyannote[485].end 8315.03534375
transcript.pyannote[486].speaker SPEAKER_08
transcript.pyannote[486].start 8316.01409375
transcript.pyannote[486].end 8325.90284375
transcript.pyannote[487].speaker SPEAKER_08
transcript.pyannote[487].start 8325.97034375
transcript.pyannote[487].end 8330.42534375
transcript.pyannote[488].speaker SPEAKER_16
transcript.pyannote[488].start 8326.30784375
transcript.pyannote[488].end 8327.03346875
transcript.pyannote[489].speaker SPEAKER_04
transcript.pyannote[489].start 8327.03346875
transcript.pyannote[489].end 8328.55221875
transcript.pyannote[490].speaker SPEAKER_04
transcript.pyannote[490].start 8328.60284375
transcript.pyannote[490].end 8334.54284375
transcript.pyannote[491].speaker SPEAKER_04
transcript.pyannote[491].start 8335.85909375
transcript.pyannote[491].end 8335.97721875
transcript.pyannote[492].speaker SPEAKER_08
transcript.pyannote[492].start 8335.97721875
transcript.pyannote[492].end 8336.41596875
transcript.pyannote[493].speaker SPEAKER_08
transcript.pyannote[493].start 8336.78721875
transcript.pyannote[493].end 8340.75284375
transcript.pyannote[494].speaker SPEAKER_08
transcript.pyannote[494].start 8341.19159375
transcript.pyannote[494].end 8341.95096875
transcript.pyannote[495].speaker SPEAKER_08
transcript.pyannote[495].start 8342.62596875
transcript.pyannote[495].end 8343.38534375
transcript.pyannote[496].speaker SPEAKER_08
transcript.pyannote[496].start 8343.58784375
transcript.pyannote[496].end 8344.41471875
transcript.pyannote[497].speaker SPEAKER_16
transcript.pyannote[497].start 8346.49034375
transcript.pyannote[497].end 8346.59159375
transcript.pyannote[498].speaker SPEAKER_08
transcript.pyannote[498].start 8346.59159375
transcript.pyannote[498].end 8346.92909375
transcript.pyannote[499].speaker SPEAKER_08
transcript.pyannote[499].start 8346.94596875
transcript.pyannote[499].end 8351.02971875
transcript.pyannote[500].speaker SPEAKER_08
transcript.pyannote[500].start 8352.02534375
transcript.pyannote[500].end 8352.98721875
transcript.pyannote[501].speaker SPEAKER_08
transcript.pyannote[501].start 8353.99971875
transcript.pyannote[501].end 8357.62784375
transcript.pyannote[502].speaker SPEAKER_08
transcript.pyannote[502].start 8358.28596875
transcript.pyannote[502].end 8359.43346875
transcript.pyannote[503].speaker SPEAKER_08
transcript.pyannote[503].start 8359.63596875
transcript.pyannote[503].end 8360.04096875
transcript.pyannote[504].speaker SPEAKER_08
transcript.pyannote[504].start 8360.51346875
transcript.pyannote[504].end 8362.21784375
transcript.pyannote[505].speaker SPEAKER_08
transcript.pyannote[505].start 8362.84221875
transcript.pyannote[505].end 8365.10346875
transcript.pyannote[506].speaker SPEAKER_08
transcript.pyannote[506].start 8365.47471875
transcript.pyannote[506].end 8366.13284375
transcript.pyannote[507].speaker SPEAKER_08
transcript.pyannote[507].start 8366.84159375
transcript.pyannote[507].end 8372.35971875
transcript.pyannote[508].speaker SPEAKER_08
transcript.pyannote[508].start 8372.78159375
transcript.pyannote[508].end 8377.16909375
transcript.pyannote[509].speaker SPEAKER_08
transcript.pyannote[509].start 8378.68784375
transcript.pyannote[509].end 8381.21909375
transcript.pyannote[510].speaker SPEAKER_08
transcript.pyannote[510].start 8381.59034375
transcript.pyannote[510].end 8383.15971875
transcript.pyannote[511].speaker SPEAKER_08
transcript.pyannote[511].start 8383.29471875
transcript.pyannote[511].end 8384.00346875
transcript.pyannote[512].speaker SPEAKER_08
transcript.pyannote[512].start 8384.56034375
transcript.pyannote[512].end 8388.23909375
transcript.pyannote[513].speaker SPEAKER_08
transcript.pyannote[513].start 8389.23471875
transcript.pyannote[513].end 8390.11221875
transcript.pyannote[514].speaker SPEAKER_17
transcript.pyannote[514].start 8389.62284375
transcript.pyannote[514].end 8391.68159375
transcript.pyannote[515].speaker SPEAKER_08
transcript.pyannote[515].start 8391.68159375
transcript.pyannote[515].end 8394.33096875
transcript.pyannote[516].speaker SPEAKER_17
transcript.pyannote[516].start 8391.71534375
transcript.pyannote[516].end 8391.96846875
transcript.pyannote[517].speaker SPEAKER_00
transcript.pyannote[517].start 8391.96846875
transcript.pyannote[517].end 8393.53784375
transcript.pyannote[518].speaker SPEAKER_08
transcript.pyannote[518].start 8395.29284375
transcript.pyannote[518].end 8396.30534375
transcript.pyannote[519].speaker SPEAKER_08
transcript.pyannote[519].start 8397.04784375
transcript.pyannote[519].end 8401.50284375
transcript.pyannote[520].speaker SPEAKER_08
transcript.pyannote[520].start 8401.94159375
transcript.pyannote[520].end 8402.73471875
transcript.pyannote[521].speaker SPEAKER_08
transcript.pyannote[521].start 8403.34221875
transcript.pyannote[521].end 8405.14784375
transcript.pyannote[522].speaker SPEAKER_08
transcript.pyannote[522].start 8405.58659375
transcript.pyannote[522].end 8406.27846875
transcript.pyannote[523].speaker SPEAKER_08
transcript.pyannote[523].start 8407.44284375
transcript.pyannote[523].end 8409.01221875
transcript.pyannote[524].speaker SPEAKER_08
transcript.pyannote[524].start 8409.95721875
transcript.pyannote[524].end 8413.02846875
transcript.pyannote[525].speaker SPEAKER_08
transcript.pyannote[525].start 8413.43346875
transcript.pyannote[525].end 8414.64846875
transcript.pyannote[526].speaker SPEAKER_08
transcript.pyannote[526].start 8415.54284375
transcript.pyannote[526].end 8417.14596875
transcript.pyannote[527].speaker SPEAKER_04
transcript.pyannote[527].start 8417.14596875
transcript.pyannote[527].end 8417.17971875
transcript.pyannote[528].speaker SPEAKER_08
transcript.pyannote[528].start 8417.17971875
transcript.pyannote[528].end 8418.09096875
transcript.pyannote[529].speaker SPEAKER_04
transcript.pyannote[529].start 8424.41909375
transcript.pyannote[529].end 8424.84096875
transcript.pyannote[530].speaker SPEAKER_02
transcript.pyannote[530].start 8452.80284375
transcript.pyannote[530].end 8453.08971875
transcript.pyannote[531].speaker SPEAKER_19
transcript.pyannote[531].start 8463.56909375
transcript.pyannote[531].end 8465.81346875
transcript.pyannote[532].speaker SPEAKER_11
transcript.pyannote[532].start 8465.96534375
transcript.pyannote[532].end 8466.03284375
transcript.pyannote[533].speaker SPEAKER_11
transcript.pyannote[533].start 8466.37034375
transcript.pyannote[533].end 8466.40409375
transcript.pyannote[534].speaker SPEAKER_11
transcript.pyannote[534].start 8466.43784375
transcript.pyannote[534].end 8466.47159375
transcript.pyannote[535].speaker SPEAKER_11
transcript.pyannote[535].start 8466.50534375
transcript.pyannote[535].end 8466.57284375
transcript.pyannote[536].speaker SPEAKER_15
transcript.pyannote[536].start 8477.86221875
transcript.pyannote[536].end 8484.03846875
transcript.pyannote[537].speaker SPEAKER_11
transcript.pyannote[537].start 8502.07784375
transcript.pyannote[537].end 8502.49971875
transcript.pyannote[538].speaker SPEAKER_11
transcript.pyannote[538].start 8502.97221875
transcript.pyannote[538].end 8503.02284375
transcript.pyannote[539].speaker SPEAKER_11
transcript.pyannote[539].start 8503.10721875
transcript.pyannote[539].end 8504.03534375
transcript.pyannote[540].speaker SPEAKER_11
transcript.pyannote[540].start 8505.23346875
transcript.pyannote[540].end 8505.52034375
transcript.pyannote[541].speaker SPEAKER_11
transcript.pyannote[541].start 8507.64659375
transcript.pyannote[541].end 8509.33409375
transcript.pyannote[542].speaker SPEAKER_11
transcript.pyannote[542].start 8509.82346875
transcript.pyannote[542].end 8510.88659375
transcript.pyannote[543].speaker SPEAKER_11
transcript.pyannote[543].start 8512.96221875
transcript.pyannote[543].end 8514.29534375
transcript.pyannote[544].speaker SPEAKER_13
transcript.pyannote[544].start 8540.38409375
transcript.pyannote[544].end 8541.05909375
transcript.pyannote[545].speaker SPEAKER_13
transcript.pyannote[545].start 8541.10971875
transcript.pyannote[545].end 8541.21096875
transcript.pyannote[546].speaker SPEAKER_13
transcript.pyannote[546].start 8541.58221875
transcript.pyannote[546].end 8541.86909375
transcript.pyannote[547].speaker SPEAKER_14
transcript.pyannote[547].start 8545.83471875
transcript.pyannote[547].end 8547.33659375
transcript.pyannote[548].speaker SPEAKER_11
transcript.pyannote[548].start 8550.91409375
transcript.pyannote[548].end 8550.93096875
transcript.pyannote[549].speaker SPEAKER_14
transcript.pyannote[549].start 8550.93096875
transcript.pyannote[549].end 8550.96471875
transcript.pyannote[550].speaker SPEAKER_11
transcript.pyannote[550].start 8550.96471875
transcript.pyannote[550].end 8552.07846875
transcript.pyannote[551].speaker SPEAKER_13
transcript.pyannote[551].start 8552.07846875
transcript.pyannote[551].end 8552.11221875
transcript.pyannote[552].speaker SPEAKER_11
transcript.pyannote[552].start 8555.25096875
transcript.pyannote[552].end 8567.02971875
transcript.pyannote[553].speaker SPEAKER_13
transcript.pyannote[553].start 8567.02971875
transcript.pyannote[553].end 8578.89284375
transcript.pyannote[554].speaker SPEAKER_15
transcript.pyannote[554].start 8571.60284375
transcript.pyannote[554].end 8573.17221875
transcript.pyannote[555].speaker SPEAKER_15
transcript.pyannote[555].start 8576.54721875
transcript.pyannote[555].end 8577.49221875
transcript.pyannote[556].speaker SPEAKER_15
transcript.pyannote[556].start 8577.89721875
transcript.pyannote[556].end 8577.93096875
transcript.pyannote[557].speaker SPEAKER_11
transcript.pyannote[557].start 8577.93096875
transcript.pyannote[557].end 8578.42034375
transcript.pyannote[558].speaker SPEAKER_13
transcript.pyannote[558].start 8579.07846875
transcript.pyannote[558].end 8580.10784375
transcript.pyannote[559].speaker SPEAKER_11
transcript.pyannote[559].start 8579.78721875
transcript.pyannote[559].end 8582.03159375
transcript.pyannote[560].speaker SPEAKER_13
transcript.pyannote[560].start 8580.81659375
transcript.pyannote[560].end 8581.01909375
transcript.pyannote[561].speaker SPEAKER_13
transcript.pyannote[561].start 8581.91346875
transcript.pyannote[561].end 8581.93034375
transcript.pyannote[562].speaker SPEAKER_13
transcript.pyannote[562].start 8582.03159375
transcript.pyannote[562].end 8588.73096875
transcript.pyannote[563].speaker SPEAKER_11
transcript.pyannote[563].start 8583.34784375
transcript.pyannote[563].end 8583.43221875
transcript.pyannote[564].speaker SPEAKER_11
transcript.pyannote[564].start 8583.51659375
transcript.pyannote[564].end 8584.17471875
transcript.pyannote[565].speaker SPEAKER_11
transcript.pyannote[565].start 8588.73096875
transcript.pyannote[565].end 8590.95846875
transcript.pyannote[566].speaker SPEAKER_11
transcript.pyannote[566].start 8591.14409375
transcript.pyannote[566].end 8591.17784375
transcript.pyannote[567].speaker SPEAKER_13
transcript.pyannote[567].start 8591.17784375
transcript.pyannote[567].end 8592.19034375
transcript.pyannote[568].speaker SPEAKER_11
transcript.pyannote[568].start 8592.19034375
transcript.pyannote[568].end 8594.21534375
transcript.pyannote[569].speaker SPEAKER_13
transcript.pyannote[569].start 8592.76409375
transcript.pyannote[569].end 8593.64159375
transcript.pyannote[570].speaker SPEAKER_11
transcript.pyannote[570].start 8594.56971875
transcript.pyannote[570].end 8599.46346875
transcript.pyannote[571].speaker SPEAKER_11
transcript.pyannote[571].start 8599.53096875
transcript.pyannote[571].end 8599.93596875
transcript.pyannote[572].speaker SPEAKER_13
transcript.pyannote[572].start 8609.97659375
transcript.pyannote[572].end 8614.80284375
transcript.pyannote[573].speaker SPEAKER_13
transcript.pyannote[573].start 8614.95471875
transcript.pyannote[573].end 8615.61284375
transcript.pyannote[574].speaker SPEAKER_16
transcript.pyannote[574].start 8616.01784375
transcript.pyannote[574].end 8616.05159375
transcript.pyannote[575].speaker SPEAKER_13
transcript.pyannote[575].start 8616.05159375
transcript.pyannote[575].end 8618.02596875
transcript.pyannote[576].speaker SPEAKER_13
transcript.pyannote[576].start 8618.16096875
transcript.pyannote[576].end 8618.49846875
transcript.pyannote[577].speaker SPEAKER_11
transcript.pyannote[577].start 8625.97409375
transcript.pyannote[577].end 8626.02471875
transcript.pyannote[578].speaker SPEAKER_11
transcript.pyannote[578].start 8627.50971875
transcript.pyannote[578].end 8628.13409375
transcript.pyannote[579].speaker SPEAKER_11
transcript.pyannote[579].start 8630.26034375
transcript.pyannote[579].end 8631.00284375
transcript.pyannote[580].speaker SPEAKER_13
transcript.pyannote[580].start 8639.06909375
transcript.pyannote[580].end 8641.12784375
transcript.pyannote[581].speaker SPEAKER_13
transcript.pyannote[581].start 8642.54534375
transcript.pyannote[581].end 8642.57909375
transcript.pyannote[582].speaker SPEAKER_11
transcript.pyannote[582].start 8642.57909375
transcript.pyannote[582].end 8642.66346875
transcript.pyannote[583].speaker SPEAKER_11
transcript.pyannote[583].start 8642.68034375
transcript.pyannote[583].end 8643.16971875
transcript.pyannote[584].speaker SPEAKER_11
transcript.pyannote[584].start 8643.96284375
transcript.pyannote[584].end 8644.03034375
transcript.pyannote[585].speaker SPEAKER_12
transcript.pyannote[585].start 8650.96596875
transcript.pyannote[585].end 8651.84346875
transcript.pyannote[586].speaker SPEAKER_15
transcript.pyannote[586].start 8674.96221875
transcript.pyannote[586].end 8674.99596875
transcript.pyannote[587].speaker SPEAKER_15
transcript.pyannote[587].start 8676.97034375
transcript.pyannote[587].end 8677.03784375
transcript.pyannote[588].speaker SPEAKER_15
transcript.pyannote[588].start 8677.96596875
transcript.pyannote[588].end 8679.02909375
transcript.pyannote[589].speaker SPEAKER_15
transcript.pyannote[589].start 8679.97409375
transcript.pyannote[589].end 8680.02471875
transcript.pyannote[590].speaker SPEAKER_15
transcript.pyannote[590].start 8680.14284375
transcript.pyannote[590].end 8682.03284375
transcript.pyannote[591].speaker SPEAKER_15
transcript.pyannote[591].start 8682.16784375
transcript.pyannote[591].end 8683.53471875
transcript.pyannote[592].speaker SPEAKER_15
transcript.pyannote[592].start 8683.75409375
transcript.pyannote[592].end 8684.09159375
transcript.pyannote[593].speaker SPEAKER_15
transcript.pyannote[593].start 8685.96471875
transcript.pyannote[593].end 8686.16721875
transcript.pyannote[594].speaker SPEAKER_15
transcript.pyannote[594].start 8686.74096875
transcript.pyannote[594].end 8689.71096875
transcript.pyannote[595].speaker SPEAKER_15
transcript.pyannote[595].start 8730.44721875
transcript.pyannote[595].end 8730.86909375
transcript.pyannote[596].speaker SPEAKER_15
transcript.pyannote[596].start 8733.82221875
transcript.pyannote[596].end 8734.91909375
transcript.pyannote[597].speaker SPEAKER_15
transcript.pyannote[597].start 8734.96971875
transcript.pyannote[597].end 8735.03721875
transcript.pyannote[598].speaker SPEAKER_15
transcript.pyannote[598].start 8735.79659375
transcript.pyannote[598].end 8736.03284375
transcript.pyannote[599].speaker SPEAKER_15
transcript.pyannote[599].start 8736.15096875
transcript.pyannote[599].end 8738.02409375
transcript.pyannote[600].speaker SPEAKER_15
transcript.pyannote[600].start 8738.17596875
transcript.pyannote[600].end 8739.03659375
transcript.pyannote[601].speaker SPEAKER_15
transcript.pyannote[601].start 8739.67784375
transcript.pyannote[601].end 8739.77909375
transcript.pyannote[602].speaker SPEAKER_15
transcript.pyannote[602].start 8739.82971875
transcript.pyannote[602].end 8740.03221875
transcript.pyannote[603].speaker SPEAKER_16
transcript.pyannote[603].start 8779.19909375
transcript.pyannote[603].end 8779.21596875
transcript.pyannote[604].speaker SPEAKER_08
transcript.pyannote[604].start 8805.57471875
transcript.pyannote[604].end 8811.00846875
transcript.pyannote[605].speaker SPEAKER_08
transcript.pyannote[605].start 8811.54846875
transcript.pyannote[605].end 8812.66221875
transcript.pyannote[606].speaker SPEAKER_08
transcript.pyannote[606].start 8813.35409375
transcript.pyannote[606].end 8814.33284375
transcript.pyannote[607].speaker SPEAKER_08
transcript.pyannote[607].start 8815.04159375
transcript.pyannote[607].end 8817.62346875
transcript.pyannote[608].speaker SPEAKER_08
transcript.pyannote[608].start 8818.04534375
transcript.pyannote[608].end 8820.79596875
transcript.pyannote[609].speaker SPEAKER_08
transcript.pyannote[609].start 8821.94346875
transcript.pyannote[609].end 8822.28096875
transcript.pyannote[610].speaker SPEAKER_08
transcript.pyannote[610].start 8822.77034375
transcript.pyannote[610].end 8825.95971875
transcript.pyannote[611].speaker SPEAKER_08
transcript.pyannote[611].start 8827.09034375
transcript.pyannote[611].end 8827.34346875
transcript.pyannote[612].speaker SPEAKER_08
transcript.pyannote[612].start 8828.45721875
transcript.pyannote[612].end 8831.89971875
transcript.pyannote[613].speaker SPEAKER_08
transcript.pyannote[613].start 8832.30471875
transcript.pyannote[613].end 8834.12721875
transcript.pyannote[614].speaker SPEAKER_16
transcript.pyannote[614].start 8835.07221875
transcript.pyannote[614].end 8835.30846875
transcript.pyannote[615].speaker SPEAKER_08
transcript.pyannote[615].start 8835.30846875
transcript.pyannote[615].end 8847.93096875
transcript.pyannote[616].speaker SPEAKER_16
transcript.pyannote[616].start 8837.11409375
transcript.pyannote[616].end 8837.56971875
transcript.pyannote[617].speaker SPEAKER_16
transcript.pyannote[617].start 8843.54346875
transcript.pyannote[617].end 8843.89784375
transcript.pyannote[618].speaker SPEAKER_16
transcript.pyannote[618].start 8847.93096875
transcript.pyannote[618].end 8849.66909375
transcript.pyannote[619].speaker SPEAKER_08
transcript.pyannote[619].start 8849.34846875
transcript.pyannote[619].end 8852.38596875
transcript.pyannote[620].speaker SPEAKER_16
transcript.pyannote[620].start 8849.80409375
transcript.pyannote[620].end 8850.17534375
transcript.pyannote[621].speaker SPEAKER_16
transcript.pyannote[621].start 8852.03159375
transcript.pyannote[621].end 8852.25096875
transcript.pyannote[622].speaker SPEAKER_16
transcript.pyannote[622].start 8852.38596875
transcript.pyannote[622].end 8853.02721875
transcript.pyannote[623].speaker SPEAKER_16
transcript.pyannote[623].start 8854.14096875
transcript.pyannote[623].end 8854.15784375
transcript.pyannote[624].speaker SPEAKER_08
transcript.pyannote[624].start 8854.15784375
transcript.pyannote[624].end 8860.89096875
transcript.pyannote[625].speaker SPEAKER_10
transcript.pyannote[625].start 8859.94596875
transcript.pyannote[625].end 8866.83096875
transcript.pyannote[626].speaker SPEAKER_08
transcript.pyannote[626].start 8867.82659375
transcript.pyannote[626].end 8873.59784375
transcript.pyannote[627].speaker SPEAKER_18
transcript.pyannote[627].start 8868.92346875
transcript.pyannote[627].end 8868.94034375
transcript.pyannote[628].speaker SPEAKER_10
transcript.pyannote[628].start 8868.94034375
transcript.pyannote[628].end 8868.95721875
transcript.pyannote[629].speaker SPEAKER_18
transcript.pyannote[629].start 8868.95721875
transcript.pyannote[629].end 8869.02471875
transcript.pyannote[630].speaker SPEAKER_18
transcript.pyannote[630].start 8869.31159375
transcript.pyannote[630].end 8869.36221875
transcript.pyannote[631].speaker SPEAKER_10
transcript.pyannote[631].start 8869.36221875
transcript.pyannote[631].end 8869.39596875
transcript.pyannote[632].speaker SPEAKER_18
transcript.pyannote[632].start 8869.39596875
transcript.pyannote[632].end 8870.52659375
transcript.pyannote[633].speaker SPEAKER_18
transcript.pyannote[633].start 8873.91846875
transcript.pyannote[633].end 8874.13784375
transcript.pyannote[634].speaker SPEAKER_08
transcript.pyannote[634].start 8874.13784375
transcript.pyannote[634].end 8874.23909375
transcript.pyannote[635].speaker SPEAKER_18
transcript.pyannote[635].start 8874.67784375
transcript.pyannote[635].end 8875.26846875
transcript.pyannote[636].speaker SPEAKER_08
transcript.pyannote[636].start 8875.26846875
transcript.pyannote[636].end 8875.82534375
transcript.pyannote[637].speaker SPEAKER_18
transcript.pyannote[637].start 8876.07846875
transcript.pyannote[637].end 8876.17971875
transcript.pyannote[638].speaker SPEAKER_18
transcript.pyannote[638].start 8876.53409375
transcript.pyannote[638].end 8885.35971875
transcript.pyannote[639].speaker SPEAKER_18
transcript.pyannote[639].start 8885.56221875
transcript.pyannote[639].end 8887.19909375
transcript.pyannote[640].speaker SPEAKER_18
transcript.pyannote[640].start 8887.46909375
transcript.pyannote[640].end 8890.79346875
transcript.pyannote[641].speaker SPEAKER_16
transcript.pyannote[641].start 8889.89909375
transcript.pyannote[641].end 8892.83534375
transcript.pyannote[642].speaker SPEAKER_18
transcript.pyannote[642].start 8890.96221875
transcript.pyannote[642].end 8892.97034375
transcript.pyannote[643].speaker SPEAKER_16
transcript.pyannote[643].start 8892.97034375
transcript.pyannote[643].end 8894.23596875
transcript.pyannote[644].speaker SPEAKER_18
transcript.pyannote[644].start 8894.23596875
transcript.pyannote[644].end 8894.67471875
transcript.pyannote[645].speaker SPEAKER_16
transcript.pyannote[645].start 8894.25284375
transcript.pyannote[645].end 8895.80534375
transcript.pyannote[646].speaker SPEAKER_18
transcript.pyannote[646].start 8895.80534375
transcript.pyannote[646].end 8895.85596875
transcript.pyannote[647].speaker SPEAKER_16
transcript.pyannote[647].start 8895.85596875
transcript.pyannote[647].end 8895.88971875
transcript.pyannote[648].speaker SPEAKER_18
transcript.pyannote[648].start 8895.88971875
transcript.pyannote[648].end 8895.90659375
transcript.pyannote[649].speaker SPEAKER_16
transcript.pyannote[649].start 8895.90659375
transcript.pyannote[649].end 8896.36221875
transcript.pyannote[650].speaker SPEAKER_18
transcript.pyannote[650].start 8896.36221875
transcript.pyannote[650].end 8896.41284375
transcript.pyannote[651].speaker SPEAKER_18
transcript.pyannote[651].start 8896.53096875
transcript.pyannote[651].end 8896.54784375
transcript.pyannote[652].speaker SPEAKER_08
transcript.pyannote[652].start 8896.54784375
transcript.pyannote[652].end 8898.11721875
transcript.pyannote[653].speaker SPEAKER_18
transcript.pyannote[653].start 8898.28596875
transcript.pyannote[653].end 8908.20846875
transcript.pyannote[654].speaker SPEAKER_08
transcript.pyannote[654].start 8899.72034375
transcript.pyannote[654].end 8901.32346875
transcript.pyannote[655].speaker SPEAKER_18
transcript.pyannote[655].start 8908.47846875
transcript.pyannote[655].end 8909.81159375
transcript.pyannote[656].speaker SPEAKER_18
transcript.pyannote[656].start 8910.14909375
transcript.pyannote[656].end 8914.24971875
transcript.pyannote[657].speaker SPEAKER_08
transcript.pyannote[657].start 8915.36346875
transcript.pyannote[657].end 8915.83596875
transcript.pyannote[658].speaker SPEAKER_08
transcript.pyannote[658].start 8916.47721875
transcript.pyannote[658].end 8920.15596875
transcript.pyannote[659].speaker SPEAKER_08
transcript.pyannote[659].start 8920.62846875
transcript.pyannote[659].end 8921.86034375
transcript.pyannote[660].speaker SPEAKER_08
transcript.pyannote[660].start 8922.60284375
transcript.pyannote[660].end 8922.61971875
transcript.pyannote[661].speaker SPEAKER_09
transcript.pyannote[661].start 8922.61971875
transcript.pyannote[661].end 8927.09159375
transcript.pyannote[662].speaker SPEAKER_09
transcript.pyannote[662].start 8927.51346875
transcript.pyannote[662].end 8936.00159375
transcript.pyannote[663].speaker SPEAKER_18
transcript.pyannote[663].start 8935.83284375
transcript.pyannote[663].end 8952.30284375
transcript.pyannote[664].speaker SPEAKER_09
transcript.pyannote[664].start 8936.03534375
transcript.pyannote[664].end 8936.47409375
transcript.pyannote[665].speaker SPEAKER_18
transcript.pyannote[665].start 8952.35346875
transcript.pyannote[665].end 8964.87471875
transcript.pyannote[666].speaker SPEAKER_18
transcript.pyannote[666].start 8965.24596875
transcript.pyannote[666].end 8965.83659375
transcript.pyannote[667].speaker SPEAKER_18
transcript.pyannote[667].start 8966.20784375
transcript.pyannote[667].end 8967.45659375
transcript.pyannote[668].speaker SPEAKER_18
transcript.pyannote[668].start 8968.03034375
transcript.pyannote[668].end 8981.80034375
transcript.pyannote[669].speaker SPEAKER_18
transcript.pyannote[669].start 8981.93534375
transcript.pyannote[669].end 8986.74471875
transcript.pyannote[670].speaker SPEAKER_18
transcript.pyannote[670].start 8987.35221875
transcript.pyannote[670].end 8989.84971875
transcript.pyannote[671].speaker SPEAKER_08
transcript.pyannote[671].start 8990.76096875
transcript.pyannote[671].end 8992.12784375
transcript.pyannote[672].speaker SPEAKER_08
transcript.pyannote[672].start 8992.48221875
transcript.pyannote[672].end 9008.36159375
transcript.pyannote[673].speaker SPEAKER_16
transcript.pyannote[673].start 9007.65284375
transcript.pyannote[673].end 9009.84659375
transcript.pyannote[674].speaker SPEAKER_08
transcript.pyannote[674].start 9009.84659375
transcript.pyannote[674].end 9011.02784375
transcript.pyannote[675].speaker SPEAKER_16
transcript.pyannote[675].start 9009.86346875
transcript.pyannote[675].end 9009.91409375
transcript.pyannote[676].speaker SPEAKER_16
transcript.pyannote[676].start 9009.94784375
transcript.pyannote[676].end 9009.96471875
transcript.pyannote[677].speaker SPEAKER_07
transcript.pyannote[677].start 9011.02784375
transcript.pyannote[677].end 9011.70284375
transcript.pyannote[678].speaker SPEAKER_16
transcript.pyannote[678].start 9011.98971875
transcript.pyannote[678].end 9013.62659375
transcript.pyannote[679].speaker SPEAKER_07
transcript.pyannote[679].start 9015.19596875
transcript.pyannote[679].end 9018.62159375
transcript.pyannote[680].speaker SPEAKER_07
transcript.pyannote[680].start 9019.09409375
transcript.pyannote[680].end 9023.68409375
transcript.pyannote[681].speaker SPEAKER_07
transcript.pyannote[681].start 9023.80221875
transcript.pyannote[681].end 9050.41409375
transcript.pyannote[682].speaker SPEAKER_07
transcript.pyannote[682].start 9050.68409375
transcript.pyannote[682].end 9072.01409375
transcript.pyannote[683].speaker SPEAKER_07
transcript.pyannote[683].start 9072.67221875
transcript.pyannote[683].end 9076.53659375
transcript.pyannote[684].speaker SPEAKER_07
transcript.pyannote[684].start 9076.75596875
transcript.pyannote[684].end 9134.62034375
transcript.pyannote[685].speaker SPEAKER_07
transcript.pyannote[685].start 9134.65409375
transcript.pyannote[685].end 9135.36284375
transcript.pyannote[686].speaker SPEAKER_08
transcript.pyannote[686].start 9135.36284375
transcript.pyannote[686].end 9136.69596875
transcript.pyannote[687].speaker SPEAKER_07
transcript.pyannote[687].start 9136.69596875
transcript.pyannote[687].end 9138.29909375
transcript.pyannote[688].speaker SPEAKER_17
transcript.pyannote[688].start 9136.88159375
transcript.pyannote[688].end 9137.92784375
transcript.pyannote[689].speaker SPEAKER_08
transcript.pyannote[689].start 9137.92784375
transcript.pyannote[689].end 9137.94471875
transcript.pyannote[690].speaker SPEAKER_17
transcript.pyannote[690].start 9137.94471875
transcript.pyannote[690].end 9143.96909375
transcript.pyannote[691].speaker SPEAKER_16
transcript.pyannote[691].start 9138.29909375
transcript.pyannote[691].end 9138.31596875
transcript.pyannote[692].speaker SPEAKER_17
transcript.pyannote[692].start 9144.01971875
transcript.pyannote[692].end 9144.05346875
transcript.pyannote[693].speaker SPEAKER_17
transcript.pyannote[693].start 9144.07034375
transcript.pyannote[693].end 9165.46784375
transcript.pyannote[694].speaker SPEAKER_17
transcript.pyannote[694].start 9165.50159375
transcript.pyannote[694].end 9169.83846875
transcript.pyannote[695].speaker SPEAKER_17
transcript.pyannote[695].start 9170.36159375
transcript.pyannote[695].end 9176.97659375
transcript.pyannote[696].speaker SPEAKER_17
transcript.pyannote[696].start 9177.87096875
transcript.pyannote[696].end 9182.57909375
transcript.pyannote[697].speaker SPEAKER_17
transcript.pyannote[697].start 9182.62971875
transcript.pyannote[697].end 9187.47284375
transcript.pyannote[698].speaker SPEAKER_17
transcript.pyannote[698].start 9187.81034375
transcript.pyannote[698].end 9192.28221875
transcript.pyannote[699].speaker SPEAKER_17
transcript.pyannote[699].start 9192.61971875
transcript.pyannote[699].end 9193.29471875
transcript.pyannote[700].speaker SPEAKER_17
transcript.pyannote[700].start 9193.78409375
transcript.pyannote[700].end 9195.26909375
transcript.pyannote[701].speaker SPEAKER_17
transcript.pyannote[701].start 9195.60659375
transcript.pyannote[701].end 9199.11659375
transcript.pyannote[702].speaker SPEAKER_16
transcript.pyannote[702].start 9197.02409375
transcript.pyannote[702].end 9198.13784375
transcript.pyannote[703].speaker SPEAKER_17
transcript.pyannote[703].start 9199.20096875
transcript.pyannote[703].end 9207.35159375
transcript.pyannote[704].speaker SPEAKER_16
transcript.pyannote[704].start 9202.60971875
transcript.pyannote[704].end 9202.62659375
transcript.pyannote[705].speaker SPEAKER_16
transcript.pyannote[705].start 9202.89659375
transcript.pyannote[705].end 9202.94721875
transcript.pyannote[706].speaker SPEAKER_08
transcript.pyannote[706].start 9202.94721875
transcript.pyannote[706].end 9202.96409375
transcript.pyannote[707].speaker SPEAKER_08
transcript.pyannote[707].start 9206.23784375
transcript.pyannote[707].end 9207.04784375
transcript.pyannote[708].speaker SPEAKER_08
transcript.pyannote[708].start 9207.35159375
transcript.pyannote[708].end 9213.51096875
transcript.pyannote[709].speaker SPEAKER_02
transcript.pyannote[709].start 9211.48596875
transcript.pyannote[709].end 9212.32971875
transcript.pyannote[710].speaker SPEAKER_02
transcript.pyannote[710].start 9212.49846875
transcript.pyannote[710].end 9212.63346875
transcript.pyannote[711].speaker SPEAKER_02
transcript.pyannote[711].start 9213.25784375
transcript.pyannote[711].end 9236.49471875
transcript.pyannote[712].speaker SPEAKER_02
transcript.pyannote[712].start 9237.01784375
transcript.pyannote[712].end 9239.05971875
transcript.pyannote[713].speaker SPEAKER_02
transcript.pyannote[713].start 9239.38034375
transcript.pyannote[713].end 9243.07596875
transcript.pyannote[714].speaker SPEAKER_02
transcript.pyannote[714].start 9243.37971875
transcript.pyannote[714].end 9247.85159375
transcript.pyannote[715].speaker SPEAKER_02
transcript.pyannote[715].start 9248.44221875
transcript.pyannote[715].end 9255.17534375
transcript.pyannote[716].speaker SPEAKER_02
transcript.pyannote[716].start 9255.46221875
transcript.pyannote[716].end 9256.32284375
transcript.pyannote[717].speaker SPEAKER_02
transcript.pyannote[717].start 9257.11596875
transcript.pyannote[717].end 9259.00596875
transcript.pyannote[718].speaker SPEAKER_02
transcript.pyannote[718].start 9259.86659375
transcript.pyannote[718].end 9315.04784375
transcript.pyannote[719].speaker SPEAKER_02
transcript.pyannote[719].start 9315.45284375
transcript.pyannote[719].end 9323.29971875
transcript.pyannote[720].speaker SPEAKER_02
transcript.pyannote[720].start 9323.60346875
transcript.pyannote[720].end 9327.58596875
transcript.pyannote[721].speaker SPEAKER_02
transcript.pyannote[721].start 9327.90659375
transcript.pyannote[721].end 9334.79159375
transcript.pyannote[722].speaker SPEAKER_08
transcript.pyannote[722].start 9335.17971875
transcript.pyannote[722].end 9339.43221875
transcript.pyannote[723].speaker SPEAKER_02
transcript.pyannote[723].start 9335.50034375
transcript.pyannote[723].end 9335.66909375
transcript.pyannote[724].speaker SPEAKER_12
transcript.pyannote[724].start 9339.55034375
transcript.pyannote[724].end 9424.75221875
transcript.pyannote[725].speaker SPEAKER_08
transcript.pyannote[725].start 9425.35971875
transcript.pyannote[725].end 9428.11034375
transcript.pyannote[726].speaker SPEAKER_10
transcript.pyannote[726].start 9428.11034375
transcript.pyannote[726].end 9428.16096875
transcript.pyannote[727].speaker SPEAKER_08
transcript.pyannote[727].start 9430.62471875
transcript.pyannote[727].end 9430.64159375
transcript.pyannote[728].speaker SPEAKER_10
transcript.pyannote[728].start 9430.64159375
transcript.pyannote[728].end 9432.17721875
transcript.pyannote[729].speaker SPEAKER_10
transcript.pyannote[729].start 9432.53159375
transcript.pyannote[729].end 9439.18034375
transcript.pyannote[730].speaker SPEAKER_10
transcript.pyannote[730].start 9439.70346875
transcript.pyannote[730].end 9445.42409375
transcript.pyannote[731].speaker SPEAKER_10
transcript.pyannote[731].start 9445.64346875
transcript.pyannote[731].end 9447.02721875
transcript.pyannote[732].speaker SPEAKER_10
transcript.pyannote[732].start 9447.55034375
transcript.pyannote[732].end 9451.88721875
transcript.pyannote[733].speaker SPEAKER_10
transcript.pyannote[733].start 9452.08971875
transcript.pyannote[733].end 9456.05534375
transcript.pyannote[734].speaker SPEAKER_10
transcript.pyannote[734].start 9456.24096875
transcript.pyannote[734].end 9462.18096875
transcript.pyannote[735].speaker SPEAKER_10
transcript.pyannote[735].start 9463.00784375
transcript.pyannote[735].end 9472.50846875
transcript.pyannote[736].speaker SPEAKER_10
transcript.pyannote[736].start 9472.86284375
transcript.pyannote[736].end 9473.72346875
transcript.pyannote[737].speaker SPEAKER_10
transcript.pyannote[737].start 9474.60096875
transcript.pyannote[737].end 9487.84784375
transcript.pyannote[738].speaker SPEAKER_10
transcript.pyannote[738].start 9488.16846875
transcript.pyannote[738].end 9490.41284375
transcript.pyannote[739].speaker SPEAKER_10
transcript.pyannote[739].start 9491.37471875
transcript.pyannote[739].end 9492.16784375
transcript.pyannote[740].speaker SPEAKER_10
transcript.pyannote[740].start 9492.85971875
transcript.pyannote[740].end 9496.25159375
transcript.pyannote[741].speaker SPEAKER_10
transcript.pyannote[741].start 9496.53846875
transcript.pyannote[741].end 9497.43284375
transcript.pyannote[742].speaker SPEAKER_10
transcript.pyannote[742].start 9497.65221875
transcript.pyannote[742].end 9503.05221875
transcript.pyannote[743].speaker SPEAKER_10
transcript.pyannote[743].start 9503.32221875
transcript.pyannote[743].end 9518.52659375
transcript.pyannote[744].speaker SPEAKER_10
transcript.pyannote[744].start 9519.84284375
transcript.pyannote[744].end 9550.74096875
transcript.pyannote[745].speaker SPEAKER_10
transcript.pyannote[745].start 9551.06159375
transcript.pyannote[745].end 9551.61846875
transcript.pyannote[746].speaker SPEAKER_10
transcript.pyannote[746].start 9551.90534375
transcript.pyannote[746].end 9554.77409375
transcript.pyannote[747].speaker SPEAKER_10
transcript.pyannote[747].start 9555.17909375
transcript.pyannote[747].end 9590.24534375
transcript.pyannote[748].speaker SPEAKER_10
transcript.pyannote[748].start 9590.48159375
transcript.pyannote[748].end 9594.09284375
transcript.pyannote[749].speaker SPEAKER_08
transcript.pyannote[749].start 9594.29534375
transcript.pyannote[749].end 9596.25284375
transcript.pyannote[750].speaker SPEAKER_09
transcript.pyannote[750].start 9596.82659375
transcript.pyannote[750].end 9609.04409375
transcript.pyannote[751].speaker SPEAKER_09
transcript.pyannote[751].start 9609.46596875
transcript.pyannote[751].end 9616.70534375
transcript.pyannote[752].speaker SPEAKER_09
transcript.pyannote[752].start 9616.92471875
transcript.pyannote[752].end 9618.15659375
transcript.pyannote[753].speaker SPEAKER_09
transcript.pyannote[753].start 9618.56159375
transcript.pyannote[753].end 9623.65784375
transcript.pyannote[754].speaker SPEAKER_09
transcript.pyannote[754].start 9624.13034375
transcript.pyannote[754].end 9645.93284375
transcript.pyannote[755].speaker SPEAKER_09
transcript.pyannote[755].start 9646.40534375
transcript.pyannote[755].end 9671.21159375
transcript.pyannote[756].speaker SPEAKER_09
transcript.pyannote[756].start 9671.68409375
transcript.pyannote[756].end 9677.62409375
transcript.pyannote[757].speaker SPEAKER_09
transcript.pyannote[757].start 9677.77596875
transcript.pyannote[757].end 9679.61534375
transcript.pyannote[758].speaker SPEAKER_09
transcript.pyannote[758].start 9679.95284375
transcript.pyannote[758].end 9681.33659375
transcript.pyannote[759].speaker SPEAKER_09
transcript.pyannote[759].start 9681.55596875
transcript.pyannote[759].end 9687.41159375
transcript.pyannote[760].speaker SPEAKER_09
transcript.pyannote[760].start 9687.83346875
transcript.pyannote[760].end 9703.29096875
transcript.pyannote[761].speaker SPEAKER_16
transcript.pyannote[761].start 9703.69596875
transcript.pyannote[761].end 9704.01659375
transcript.pyannote[762].speaker SPEAKER_09
transcript.pyannote[762].start 9704.01659375
transcript.pyannote[762].end 9708.82596875
transcript.pyannote[763].speaker SPEAKER_16
transcript.pyannote[763].start 9704.03346875
transcript.pyannote[763].end 9704.06721875
transcript.pyannote[764].speaker SPEAKER_09
transcript.pyannote[764].start 9709.28159375
transcript.pyannote[764].end 9712.09971875
transcript.pyannote[765].speaker SPEAKER_09
transcript.pyannote[765].start 9712.62284375
transcript.pyannote[765].end 9716.50409375
transcript.pyannote[766].speaker SPEAKER_09
transcript.pyannote[766].start 9716.80784375
transcript.pyannote[766].end 9718.30971875
transcript.pyannote[767].speaker SPEAKER_09
transcript.pyannote[767].start 9718.63034375
transcript.pyannote[767].end 9720.03096875
transcript.pyannote[768].speaker SPEAKER_09
transcript.pyannote[768].start 9720.25034375
transcript.pyannote[768].end 9729.44721875
transcript.pyannote[769].speaker SPEAKER_09
transcript.pyannote[769].start 9729.78471875
transcript.pyannote[769].end 9738.44159375
transcript.pyannote[770].speaker SPEAKER_09
transcript.pyannote[770].start 9739.13346875
transcript.pyannote[770].end 9745.32659375
transcript.pyannote[771].speaker SPEAKER_08
transcript.pyannote[771].start 9746.54159375
transcript.pyannote[771].end 9748.92096875
transcript.pyannote[772].speaker SPEAKER_08
transcript.pyannote[772].start 9749.88284375
transcript.pyannote[772].end 9749.89971875
transcript.pyannote[773].speaker SPEAKER_05
transcript.pyannote[773].start 9749.89971875
transcript.pyannote[773].end 9750.76034375
transcript.pyannote[774].speaker SPEAKER_05
transcript.pyannote[774].start 9751.28346875
transcript.pyannote[774].end 9751.77284375
transcript.pyannote[775].speaker SPEAKER_05
transcript.pyannote[775].start 9752.14409375
transcript.pyannote[775].end 9759.33284375
transcript.pyannote[776].speaker SPEAKER_05
transcript.pyannote[776].start 9759.51846875
transcript.pyannote[776].end 9775.73534375
transcript.pyannote[777].speaker SPEAKER_05
transcript.pyannote[777].start 9776.27534375
transcript.pyannote[777].end 9779.46471875
transcript.pyannote[778].speaker SPEAKER_05
transcript.pyannote[778].start 9779.56596875
transcript.pyannote[778].end 9821.17971875
transcript.pyannote[779].speaker SPEAKER_05
transcript.pyannote[779].start 9821.36534375
transcript.pyannote[779].end 9827.15346875
transcript.pyannote[780].speaker SPEAKER_05
transcript.pyannote[780].start 9827.32221875
transcript.pyannote[780].end 9829.87034375
transcript.pyannote[781].speaker SPEAKER_05
transcript.pyannote[781].start 9830.42721875
transcript.pyannote[781].end 9833.07659375
transcript.pyannote[782].speaker SPEAKER_05
transcript.pyannote[782].start 9833.43096875
transcript.pyannote[782].end 9855.13221875
transcript.pyannote[783].speaker SPEAKER_05
transcript.pyannote[783].start 9855.53721875
transcript.pyannote[783].end 9856.26284375
transcript.pyannote[784].speaker SPEAKER_05
transcript.pyannote[784].start 9856.73534375
transcript.pyannote[784].end 9858.65909375
transcript.pyannote[785].speaker SPEAKER_05
transcript.pyannote[785].start 9859.75596875
transcript.pyannote[785].end 9868.61534375
transcript.pyannote[786].speaker SPEAKER_05
transcript.pyannote[786].start 9868.81784375
transcript.pyannote[786].end 9882.70596875
transcript.pyannote[787].speaker SPEAKER_05
transcript.pyannote[787].start 9883.14471875
transcript.pyannote[787].end 9945.41346875
transcript.pyannote[788].speaker SPEAKER_05
transcript.pyannote[788].start 9945.78471875
transcript.pyannote[788].end 9945.97034375
transcript.pyannote[789].speaker SPEAKER_08
transcript.pyannote[789].start 9945.97034375
transcript.pyannote[789].end 9948.02909375
transcript.pyannote[790].speaker SPEAKER_08
transcript.pyannote[790].start 9948.56909375
transcript.pyannote[790].end 9952.65284375
transcript.pyannote[791].speaker SPEAKER_08
transcript.pyannote[791].start 9953.32784375
transcript.pyannote[791].end 9958.03596875
transcript.pyannote[792].speaker SPEAKER_08
transcript.pyannote[792].start 9958.40721875
transcript.pyannote[792].end 9961.78221875
transcript.pyannote[793].speaker SPEAKER_08
transcript.pyannote[793].start 9962.20409375
transcript.pyannote[793].end 9966.47346875
transcript.pyannote[794].speaker SPEAKER_18
transcript.pyannote[794].start 9967.58721875
transcript.pyannote[794].end 9972.51471875
transcript.pyannote[795].speaker SPEAKER_18
transcript.pyannote[795].start 9972.83534375
transcript.pyannote[795].end 9977.37471875
transcript.pyannote[796].speaker SPEAKER_18
transcript.pyannote[796].start 9977.57721875
transcript.pyannote[796].end 9978.48846875
transcript.pyannote[797].speaker SPEAKER_18
transcript.pyannote[797].start 9978.77534375
transcript.pyannote[797].end 9989.44034375
transcript.pyannote[798].speaker SPEAKER_18
transcript.pyannote[798].start 9989.82846875
transcript.pyannote[798].end 9990.89159375
transcript.pyannote[799].speaker SPEAKER_18
transcript.pyannote[799].start 9990.90846875
transcript.pyannote[799].end 9994.60409375
transcript.pyannote[800].speaker SPEAKER_18
transcript.pyannote[800].start 9994.97534375
transcript.pyannote[800].end 10000.59471875
transcript.pyannote[801].speaker SPEAKER_18
transcript.pyannote[801].start 10000.84784375
transcript.pyannote[801].end 10003.46346875
transcript.pyannote[802].speaker SPEAKER_18
transcript.pyannote[802].start 10003.80096875
transcript.pyannote[802].end 10014.93846875
transcript.pyannote[803].speaker SPEAKER_18
transcript.pyannote[803].start 10015.52909375
transcript.pyannote[803].end 10017.58784375
transcript.pyannote[804].speaker SPEAKER_18
transcript.pyannote[804].start 10017.97596875
transcript.pyannote[804].end 10023.12284375
transcript.pyannote[805].speaker SPEAKER_18
transcript.pyannote[805].start 10023.30846875
transcript.pyannote[805].end 10027.27409375
transcript.pyannote[806].speaker SPEAKER_18
transcript.pyannote[806].start 10027.52721875
transcript.pyannote[806].end 10031.15534375
transcript.pyannote[807].speaker SPEAKER_18
transcript.pyannote[807].start 10031.39159375
transcript.pyannote[807].end 10032.69096875
transcript.pyannote[808].speaker SPEAKER_18
transcript.pyannote[808].start 10032.92721875
transcript.pyannote[808].end 10034.27721875
transcript.pyannote[809].speaker SPEAKER_18
transcript.pyannote[809].start 10034.61471875
transcript.pyannote[809].end 10034.96909375
transcript.pyannote[810].speaker SPEAKER_18
transcript.pyannote[810].start 10035.25596875
transcript.pyannote[810].end 10035.69471875
transcript.pyannote[811].speaker SPEAKER_18
transcript.pyannote[811].start 10036.09971875
transcript.pyannote[811].end 10037.26409375
transcript.pyannote[812].speaker SPEAKER_18
transcript.pyannote[812].start 10037.71971875
transcript.pyannote[812].end 10044.45284375
transcript.pyannote[813].speaker SPEAKER_18
transcript.pyannote[813].start 10044.70596875
transcript.pyannote[813].end 10059.74159375
transcript.pyannote[814].speaker SPEAKER_18
transcript.pyannote[814].start 10060.09596875
transcript.pyannote[814].end 10062.12096875
transcript.pyannote[815].speaker SPEAKER_18
transcript.pyannote[815].start 10062.22221875
transcript.pyannote[815].end 10069.22534375
transcript.pyannote[816].speaker SPEAKER_18
transcript.pyannote[816].start 10069.30971875
transcript.pyannote[816].end 10069.39409375
transcript.pyannote[817].speaker SPEAKER_18
transcript.pyannote[817].start 10069.41096875
transcript.pyannote[817].end 10074.50721875
transcript.pyannote[818].speaker SPEAKER_18
transcript.pyannote[818].start 10075.13159375
transcript.pyannote[818].end 10078.97909375
transcript.pyannote[819].speaker SPEAKER_18
transcript.pyannote[819].start 10079.43471875
transcript.pyannote[819].end 10081.40909375
transcript.pyannote[820].speaker SPEAKER_18
transcript.pyannote[820].start 10081.59471875
transcript.pyannote[820].end 10086.99471875
transcript.pyannote[821].speaker SPEAKER_18
transcript.pyannote[821].start 10087.33221875
transcript.pyannote[821].end 10096.39409375
transcript.pyannote[822].speaker SPEAKER_18
transcript.pyannote[822].start 10096.49534375
transcript.pyannote[822].end 10099.65096875
transcript.pyannote[823].speaker SPEAKER_18
transcript.pyannote[823].start 10099.93784375
transcript.pyannote[823].end 10101.62534375
transcript.pyannote[824].speaker SPEAKER_18
transcript.pyannote[824].start 10101.92909375
transcript.pyannote[824].end 10105.79346875
transcript.pyannote[825].speaker SPEAKER_18
transcript.pyannote[825].start 10105.86096875
transcript.pyannote[825].end 10109.69159375
transcript.pyannote[826].speaker SPEAKER_18
transcript.pyannote[826].start 10109.91096875
transcript.pyannote[826].end 10113.80909375
transcript.pyannote[827].speaker SPEAKER_18
transcript.pyannote[827].start 10114.85534375
transcript.pyannote[827].end 10123.42784375
transcript.pyannote[828].speaker SPEAKER_16
transcript.pyannote[828].start 10123.15784375
transcript.pyannote[828].end 10123.41096875
transcript.pyannote[829].speaker SPEAKER_16
transcript.pyannote[829].start 10123.42784375
transcript.pyannote[829].end 10124.77784375
transcript.pyannote[830].speaker SPEAKER_18
transcript.pyannote[830].start 10123.98471875
transcript.pyannote[830].end 10124.89596875
transcript.pyannote[831].speaker SPEAKER_16
transcript.pyannote[831].start 10124.89596875
transcript.pyannote[831].end 10125.97596875
transcript.pyannote[832].speaker SPEAKER_18
transcript.pyannote[832].start 10125.40221875
transcript.pyannote[832].end 10128.57471875
transcript.pyannote[833].speaker SPEAKER_18
transcript.pyannote[833].start 10128.77721875
transcript.pyannote[833].end 10138.15971875
transcript.pyannote[834].speaker SPEAKER_18
transcript.pyannote[834].start 10138.59846875
transcript.pyannote[834].end 10140.18471875
transcript.pyannote[835].speaker SPEAKER_18
transcript.pyannote[835].start 10140.35346875
transcript.pyannote[835].end 10147.33971875
transcript.pyannote[836].speaker SPEAKER_18
transcript.pyannote[836].start 10147.74471875
transcript.pyannote[836].end 10150.83284375
transcript.pyannote[837].speaker SPEAKER_18
transcript.pyannote[837].start 10151.06909375
transcript.pyannote[837].end 10153.56659375
transcript.pyannote[838].speaker SPEAKER_18
transcript.pyannote[838].start 10153.93784375
transcript.pyannote[838].end 10154.88284375
transcript.pyannote[839].speaker SPEAKER_18
transcript.pyannote[839].start 10155.18659375
transcript.pyannote[839].end 10181.44409375
transcript.pyannote[840].speaker SPEAKER_18
transcript.pyannote[840].start 10181.83221875
transcript.pyannote[840].end 10183.57034375
transcript.pyannote[841].speaker SPEAKER_18
transcript.pyannote[841].start 10183.90784375
transcript.pyannote[841].end 10184.49846875
transcript.pyannote[842].speaker SPEAKER_18
transcript.pyannote[842].start 10184.68409375
transcript.pyannote[842].end 10196.00721875
transcript.pyannote[843].speaker SPEAKER_16
transcript.pyannote[843].start 10191.50159375
transcript.pyannote[843].end 10192.90221875
transcript.pyannote[844].speaker SPEAKER_16
transcript.pyannote[844].start 10196.47971875
transcript.pyannote[844].end 10196.54721875
transcript.pyannote[845].speaker SPEAKER_18
transcript.pyannote[845].start 10196.54721875
transcript.pyannote[845].end 10216.51034375
transcript.pyannote[846].speaker SPEAKER_18
transcript.pyannote[846].start 10216.67909375
transcript.pyannote[846].end 10218.23159375
transcript.pyannote[847].speaker SPEAKER_18
transcript.pyannote[847].start 10218.63659375
transcript.pyannote[847].end 10220.61096875
transcript.pyannote[848].speaker SPEAKER_18
transcript.pyannote[848].start 10220.71221875
transcript.pyannote[848].end 10229.14971875
transcript.pyannote[849].speaker SPEAKER_00
transcript.pyannote[849].start 10222.43346875
transcript.pyannote[849].end 10222.75409375
transcript.pyannote[850].speaker SPEAKER_18
transcript.pyannote[850].start 10229.25096875
transcript.pyannote[850].end 10234.39784375
transcript.pyannote[851].speaker SPEAKER_18
transcript.pyannote[851].start 10234.71846875
transcript.pyannote[851].end 10277.58096875
transcript.pyannote[852].speaker SPEAKER_18
transcript.pyannote[852].start 10278.32346875
transcript.pyannote[852].end 10286.81159375
transcript.pyannote[853].speaker SPEAKER_18
transcript.pyannote[853].start 10287.08159375
transcript.pyannote[853].end 10292.95409375
transcript.pyannote[854].speaker SPEAKER_18
transcript.pyannote[854].start 10293.13971875
transcript.pyannote[854].end 10294.87784375
transcript.pyannote[855].speaker SPEAKER_18
transcript.pyannote[855].start 10295.11409375
transcript.pyannote[855].end 10297.62846875
transcript.pyannote[856].speaker SPEAKER_18
transcript.pyannote[856].start 10297.89846875
transcript.pyannote[856].end 10299.75471875
transcript.pyannote[857].speaker SPEAKER_18
transcript.pyannote[857].start 10299.90659375
transcript.pyannote[857].end 10306.60596875
transcript.pyannote[858].speaker SPEAKER_18
transcript.pyannote[858].start 10306.87596875
transcript.pyannote[858].end 10310.25096875
transcript.pyannote[859].speaker SPEAKER_18
transcript.pyannote[859].start 10310.43659375
transcript.pyannote[859].end 10312.25909375
transcript.pyannote[860].speaker SPEAKER_18
transcript.pyannote[860].start 10312.71471875
transcript.pyannote[860].end 10314.08159375
transcript.pyannote[861].speaker SPEAKER_18
transcript.pyannote[861].start 10314.38534375
transcript.pyannote[861].end 10318.31721875
transcript.pyannote[862].speaker SPEAKER_18
transcript.pyannote[862].start 10318.78971875
transcript.pyannote[862].end 10326.02909375
transcript.pyannote[863].speaker SPEAKER_18
transcript.pyannote[863].start 10326.40034375
transcript.pyannote[863].end 10330.60221875
transcript.pyannote[864].speaker SPEAKER_18
transcript.pyannote[864].start 10330.85534375
transcript.pyannote[864].end 10332.45846875
transcript.pyannote[865].speaker SPEAKER_18
transcript.pyannote[865].start 10332.57659375
transcript.pyannote[865].end 10336.79534375
transcript.pyannote[866].speaker SPEAKER_18
transcript.pyannote[866].start 10336.99784375
transcript.pyannote[866].end 10342.85346875
transcript.pyannote[867].speaker SPEAKER_18
transcript.pyannote[867].start 10342.90409375
transcript.pyannote[867].end 10344.89534375
transcript.pyannote[868].speaker SPEAKER_18
transcript.pyannote[868].start 10345.24971875
transcript.pyannote[868].end 10350.27846875
transcript.pyannote[869].speaker SPEAKER_18
transcript.pyannote[869].start 10350.48096875
transcript.pyannote[869].end 10355.69534375
transcript.pyannote[870].speaker SPEAKER_18
transcript.pyannote[870].start 10355.96534375
transcript.pyannote[870].end 10359.03659375
transcript.pyannote[871].speaker SPEAKER_18
transcript.pyannote[871].start 10359.50909375
transcript.pyannote[871].end 10359.98159375
transcript.pyannote[872].speaker SPEAKER_16
transcript.pyannote[872].start 10360.20096875
transcript.pyannote[872].end 10360.60596875
transcript.pyannote[873].speaker SPEAKER_16
transcript.pyannote[873].start 10360.62284375
transcript.pyannote[873].end 10360.75784375
transcript.pyannote[874].speaker SPEAKER_18
transcript.pyannote[874].start 10360.75784375
transcript.pyannote[874].end 10363.03596875
transcript.pyannote[875].speaker SPEAKER_18
transcript.pyannote[875].start 10363.27221875
transcript.pyannote[875].end 10365.33096875
transcript.pyannote[876].speaker SPEAKER_18
transcript.pyannote[876].start 10365.38159375
transcript.pyannote[876].end 10384.38284375
transcript.pyannote[877].speaker SPEAKER_18
transcript.pyannote[877].start 10384.70346875
transcript.pyannote[877].end 10388.93909375
transcript.pyannote[878].speaker SPEAKER_18
transcript.pyannote[878].start 10389.10784375
transcript.pyannote[878].end 10391.30159375
transcript.pyannote[879].speaker SPEAKER_18
transcript.pyannote[879].start 10391.40284375
transcript.pyannote[879].end 10396.02659375
transcript.pyannote[880].speaker SPEAKER_18
transcript.pyannote[880].start 10396.26284375
transcript.pyannote[880].end 10397.84909375
transcript.pyannote[881].speaker SPEAKER_18
transcript.pyannote[881].start 10397.95034375
transcript.pyannote[881].end 10400.19471875
transcript.pyannote[882].speaker SPEAKER_18
transcript.pyannote[882].start 10400.49846875
transcript.pyannote[882].end 10401.64596875
transcript.pyannote[883].speaker SPEAKER_08
transcript.pyannote[883].start 10402.11846875
transcript.pyannote[883].end 10402.89471875
transcript.pyannote[884].speaker SPEAKER_08
transcript.pyannote[884].start 10403.36721875
transcript.pyannote[884].end 10403.67096875
transcript.pyannote[885].speaker SPEAKER_08
transcript.pyannote[885].start 10404.22784375
transcript.pyannote[885].end 10405.62846875
transcript.pyannote[886].speaker SPEAKER_09
transcript.pyannote[886].start 10405.67909375
transcript.pyannote[886].end 10410.55596875
transcript.pyannote[887].speaker SPEAKER_09
transcript.pyannote[887].start 10411.45034375
transcript.pyannote[887].end 10417.00221875
transcript.pyannote[888].speaker SPEAKER_09
transcript.pyannote[888].start 10417.33971875
transcript.pyannote[888].end 10432.00409375
transcript.pyannote[889].speaker SPEAKER_09
transcript.pyannote[889].start 10432.22346875
transcript.pyannote[889].end 10436.17221875
transcript.pyannote[890].speaker SPEAKER_09
transcript.pyannote[890].start 10436.22284375
transcript.pyannote[890].end 10440.44159375
transcript.pyannote[891].speaker SPEAKER_09
transcript.pyannote[891].start 10440.89721875
transcript.pyannote[891].end 10442.36534375
transcript.pyannote[892].speaker SPEAKER_09
transcript.pyannote[892].start 10442.56784375
transcript.pyannote[892].end 10444.35659375
transcript.pyannote[893].speaker SPEAKER_09
transcript.pyannote[893].start 10445.14971875
transcript.pyannote[893].end 10446.98909375
transcript.pyannote[894].speaker SPEAKER_09
transcript.pyannote[894].start 10447.24221875
transcript.pyannote[894].end 10447.68096875
transcript.pyannote[895].speaker SPEAKER_09
transcript.pyannote[895].start 10448.25471875
transcript.pyannote[895].end 10450.34721875
transcript.pyannote[896].speaker SPEAKER_09
transcript.pyannote[896].start 10450.43159375
transcript.pyannote[896].end 10457.51909375
transcript.pyannote[897].speaker SPEAKER_16
transcript.pyannote[897].start 10457.73846875
transcript.pyannote[897].end 10457.80596875
transcript.pyannote[898].speaker SPEAKER_09
transcript.pyannote[898].start 10457.80596875
transcript.pyannote[898].end 10458.44721875
transcript.pyannote[899].speaker SPEAKER_09
transcript.pyannote[899].start 10458.81846875
transcript.pyannote[899].end 10463.42534375
transcript.pyannote[900].speaker SPEAKER_09
transcript.pyannote[900].start 10464.11721875
transcript.pyannote[900].end 10466.54721875
transcript.pyannote[901].speaker SPEAKER_09
transcript.pyannote[901].start 10466.95221875
transcript.pyannote[901].end 10469.68596875
transcript.pyannote[902].speaker SPEAKER_09
transcript.pyannote[902].start 10469.90534375
transcript.pyannote[902].end 10469.93909375
transcript.pyannote[903].speaker SPEAKER_16
transcript.pyannote[903].start 10469.93909375
transcript.pyannote[903].end 10470.52971875
transcript.pyannote[904].speaker SPEAKER_09
transcript.pyannote[904].start 10470.22596875
transcript.pyannote[904].end 10472.30159375
transcript.pyannote[905].speaker SPEAKER_09
transcript.pyannote[905].start 10472.38596875
transcript.pyannote[905].end 10478.64659375
transcript.pyannote[906].speaker SPEAKER_09
transcript.pyannote[906].start 10478.98409375
transcript.pyannote[906].end 10481.51534375
transcript.pyannote[907].speaker SPEAKER_09
transcript.pyannote[907].start 10481.83596875
transcript.pyannote[907].end 10484.51909375
transcript.pyannote[908].speaker SPEAKER_09
transcript.pyannote[908].start 10485.32909375
transcript.pyannote[908].end 10495.89284375
transcript.pyannote[909].speaker SPEAKER_09
transcript.pyannote[909].start 10495.97721875
transcript.pyannote[909].end 10497.56346875
transcript.pyannote[910].speaker SPEAKER_09
transcript.pyannote[910].start 10497.74909375
transcript.pyannote[910].end 10499.53784375
transcript.pyannote[911].speaker SPEAKER_09
transcript.pyannote[911].start 10499.84159375
transcript.pyannote[911].end 10501.15784375
transcript.pyannote[912].speaker SPEAKER_09
transcript.pyannote[912].start 10501.95096875
transcript.pyannote[912].end 10505.86596875
transcript.pyannote[913].speaker SPEAKER_18
transcript.pyannote[913].start 10505.76471875
transcript.pyannote[913].end 10507.89096875
transcript.pyannote[914].speaker SPEAKER_09
transcript.pyannote[914].start 10507.80659375
transcript.pyannote[914].end 10507.82346875
transcript.pyannote[915].speaker SPEAKER_08
transcript.pyannote[915].start 10507.82346875
transcript.pyannote[915].end 10508.68409375
transcript.pyannote[916].speaker SPEAKER_18
transcript.pyannote[916].start 10509.30846875
transcript.pyannote[916].end 10517.52659375
transcript.pyannote[917].speaker SPEAKER_18
transcript.pyannote[917].start 10517.86409375
transcript.pyannote[917].end 10533.32159375
transcript.pyannote[918].speaker SPEAKER_18
transcript.pyannote[918].start 10533.50721875
transcript.pyannote[918].end 10540.34159375
transcript.pyannote[919].speaker SPEAKER_18
transcript.pyannote[919].start 10540.51034375
transcript.pyannote[919].end 10542.70409375
transcript.pyannote[920].speaker SPEAKER_18
transcript.pyannote[920].start 10542.90659375
transcript.pyannote[920].end 10549.09971875
transcript.pyannote[921].speaker SPEAKER_18
transcript.pyannote[921].start 10549.58909375
transcript.pyannote[921].end 10551.14159375
transcript.pyannote[922].speaker SPEAKER_08
transcript.pyannote[922].start 10550.31471875
transcript.pyannote[922].end 10551.24284375
transcript.pyannote[923].speaker SPEAKER_08
transcript.pyannote[923].start 10552.20471875
transcript.pyannote[923].end 10554.90471875
transcript.pyannote[924].speaker SPEAKER_08
transcript.pyannote[924].start 10555.24221875
transcript.pyannote[924].end 10559.14034375
transcript.pyannote[925].speaker SPEAKER_08
transcript.pyannote[925].start 10559.57909375
transcript.pyannote[925].end 10564.05096875
transcript.pyannote[926].speaker SPEAKER_08
transcript.pyannote[926].start 10564.64159375
transcript.pyannote[926].end 10565.92409375
transcript.pyannote[927].speaker SPEAKER_08
transcript.pyannote[927].start 10566.34596875
transcript.pyannote[927].end 10569.11346875
transcript.pyannote[928].speaker SPEAKER_08
transcript.pyannote[928].start 10569.55221875
transcript.pyannote[928].end 10570.46346875
transcript.pyannote[929].speaker SPEAKER_08
transcript.pyannote[929].start 10570.81784375
transcript.pyannote[929].end 10574.10846875
transcript.pyannote[930].speaker SPEAKER_08
transcript.pyannote[930].start 10574.49659375
transcript.pyannote[930].end 10575.18846875
transcript.pyannote[931].speaker SPEAKER_08
transcript.pyannote[931].start 10575.71159375
transcript.pyannote[931].end 10581.85409375
transcript.pyannote[932].speaker SPEAKER_08
transcript.pyannote[932].start 10582.61346875
transcript.pyannote[932].end 10588.80659375
transcript.pyannote[933].speaker SPEAKER_08
transcript.pyannote[933].start 10589.31284375
transcript.pyannote[933].end 10592.11409375
transcript.pyannote[934].speaker SPEAKER_08
transcript.pyannote[934].start 10592.72159375
transcript.pyannote[934].end 10593.14346875
transcript.pyannote[935].speaker SPEAKER_08
transcript.pyannote[935].start 10593.46409375
transcript.pyannote[935].end 10594.91534375
transcript.pyannote[936].speaker SPEAKER_08
transcript.pyannote[936].start 10595.20221875
transcript.pyannote[936].end 10597.59846875
transcript.pyannote[937].speaker SPEAKER_08
transcript.pyannote[937].start 10597.85159375
transcript.pyannote[937].end 10600.18034375
transcript.pyannote[938].speaker SPEAKER_09
transcript.pyannote[938].start 10597.95284375
transcript.pyannote[938].end 10598.27346875
transcript.pyannote[939].speaker SPEAKER_08
transcript.pyannote[939].start 10600.43346875
transcript.pyannote[939].end 10601.54721875
transcript.pyannote[940].speaker SPEAKER_08
transcript.pyannote[940].start 10602.45846875
transcript.pyannote[940].end 10606.40721875
transcript.pyannote[941].speaker SPEAKER_08
transcript.pyannote[941].start 10606.99784375
transcript.pyannote[941].end 10608.65159375
transcript.pyannote[942].speaker SPEAKER_02
transcript.pyannote[942].start 10608.65159375
transcript.pyannote[942].end 10616.73471875
transcript.pyannote[943].speaker SPEAKER_02
transcript.pyannote[943].start 10617.19034375
transcript.pyannote[943].end 10623.41721875
transcript.pyannote[944].speaker SPEAKER_02
transcript.pyannote[944].start 10623.68721875
transcript.pyannote[944].end 10645.74284375
transcript.pyannote[945].speaker SPEAKER_02
transcript.pyannote[945].start 10645.97909375
transcript.pyannote[945].end 10690.12409375
transcript.pyannote[946].speaker SPEAKER_02
transcript.pyannote[946].start 10690.39409375
transcript.pyannote[946].end 10726.67534375
transcript.pyannote[947].speaker SPEAKER_02
transcript.pyannote[947].start 10726.89471875
transcript.pyannote[947].end 10732.39596875
transcript.pyannote[948].speaker SPEAKER_02
transcript.pyannote[948].start 10732.68284375
transcript.pyannote[948].end 10735.43346875
transcript.pyannote[949].speaker SPEAKER_02
transcript.pyannote[949].start 10735.92284375
transcript.pyannote[949].end 10745.05221875
transcript.pyannote[950].speaker SPEAKER_02
transcript.pyannote[950].start 10745.74409375
transcript.pyannote[950].end 10761.79221875
transcript.pyannote[951].speaker SPEAKER_02
transcript.pyannote[951].start 10762.16346875
transcript.pyannote[951].end 10765.65659375
transcript.pyannote[952].speaker SPEAKER_02
transcript.pyannote[952].start 10765.75784375
transcript.pyannote[952].end 10772.89596875
transcript.pyannote[953].speaker SPEAKER_02
transcript.pyannote[953].start 10772.96346875
transcript.pyannote[953].end 10773.04784375
transcript.pyannote[954].speaker SPEAKER_02
transcript.pyannote[954].start 10773.08159375
transcript.pyannote[954].end 10818.12096875
transcript.pyannote[955].speaker SPEAKER_02
transcript.pyannote[955].start 10818.28971875
transcript.pyannote[955].end 10824.24659375
transcript.pyannote[956].speaker SPEAKER_02
transcript.pyannote[956].start 10824.61784375
transcript.pyannote[956].end 10858.24971875
transcript.pyannote[957].speaker SPEAKER_02
transcript.pyannote[957].start 10858.97534375
transcript.pyannote[957].end 10859.02596875
transcript.pyannote[958].speaker SPEAKER_07
transcript.pyannote[958].start 10859.02596875
transcript.pyannote[958].end 10859.83596875
transcript.pyannote[959].speaker SPEAKER_02
transcript.pyannote[959].start 10859.83596875
transcript.pyannote[959].end 10859.88659375
transcript.pyannote[960].speaker SPEAKER_07
transcript.pyannote[960].start 10859.88659375
transcript.pyannote[960].end 10860.76409375
transcript.pyannote[961].speaker SPEAKER_16
transcript.pyannote[961].start 10861.20284375
transcript.pyannote[961].end 10862.75534375
transcript.pyannote[962].speaker SPEAKER_07
transcript.pyannote[962].start 10863.48096875
transcript.pyannote[962].end 10939.18221875
transcript.pyannote[963].speaker SPEAKER_07
transcript.pyannote[963].start 10940.14409375
transcript.pyannote[963].end 10942.99596875
transcript.pyannote[964].speaker SPEAKER_09
transcript.pyannote[964].start 10942.99596875
transcript.pyannote[964].end 10945.64534375
transcript.pyannote[965].speaker SPEAKER_09
transcript.pyannote[965].start 10946.28659375
transcript.pyannote[965].end 10968.32534375
transcript.pyannote[966].speaker SPEAKER_09
transcript.pyannote[966].start 10968.74721875
transcript.pyannote[966].end 10971.09284375
transcript.pyannote[967].speaker SPEAKER_09
transcript.pyannote[967].start 10971.49784375
transcript.pyannote[967].end 10984.74471875
transcript.pyannote[968].speaker SPEAKER_16
transcript.pyannote[968].start 10984.87971875
transcript.pyannote[968].end 10984.91346875
transcript.pyannote[969].speaker SPEAKER_09
transcript.pyannote[969].start 10985.92596875
transcript.pyannote[969].end 10988.03534375
transcript.pyannote[970].speaker SPEAKER_09
transcript.pyannote[970].start 10988.05221875
transcript.pyannote[970].end 10993.85721875
transcript.pyannote[971].speaker SPEAKER_09
transcript.pyannote[971].start 10994.38034375
transcript.pyannote[971].end 10998.88596875
transcript.pyannote[972].speaker SPEAKER_09
transcript.pyannote[972].start 10999.29096875
transcript.pyannote[972].end 11007.54284375
transcript.pyannote[973].speaker SPEAKER_09
transcript.pyannote[973].start 11007.57659375
transcript.pyannote[973].end 11009.61846875
transcript.pyannote[974].speaker SPEAKER_09
transcript.pyannote[974].start 11009.87159375
transcript.pyannote[974].end 11010.98534375
transcript.pyannote[975].speaker SPEAKER_09
transcript.pyannote[975].start 11011.12034375
transcript.pyannote[975].end 11013.97221875
transcript.pyannote[976].speaker SPEAKER_09
transcript.pyannote[976].start 11014.57971875
transcript.pyannote[976].end 11023.21971875
transcript.pyannote[977].speaker SPEAKER_16
transcript.pyannote[977].start 11023.60784375
transcript.pyannote[977].end 11023.79346875
transcript.pyannote[978].speaker SPEAKER_09
transcript.pyannote[978].start 11023.79346875
transcript.pyannote[978].end 11028.53534375
transcript.pyannote[979].speaker SPEAKER_09
transcript.pyannote[979].start 11028.87284375
transcript.pyannote[979].end 11033.22659375
transcript.pyannote[980].speaker SPEAKER_09
transcript.pyannote[980].start 11033.59784375
transcript.pyannote[980].end 11038.28909375
transcript.pyannote[981].speaker SPEAKER_09
transcript.pyannote[981].start 11038.66034375
transcript.pyannote[981].end 11051.82284375
transcript.pyannote[982].speaker SPEAKER_05
transcript.pyannote[982].start 11052.31221875
transcript.pyannote[982].end 11052.32909375
transcript.pyannote[983].speaker SPEAKER_08
transcript.pyannote[983].start 11052.32909375
transcript.pyannote[983].end 11053.03784375
transcript.pyannote[984].speaker SPEAKER_05
transcript.pyannote[984].start 11053.03784375
transcript.pyannote[984].end 11053.99971875
transcript.pyannote[985].speaker SPEAKER_05
transcript.pyannote[985].start 11055.95721875
transcript.pyannote[985].end 11065.33971875
transcript.pyannote[986].speaker SPEAKER_05
transcript.pyannote[986].start 11065.42409375
transcript.pyannote[986].end 11065.44096875
transcript.pyannote[987].speaker SPEAKER_05
transcript.pyannote[987].start 11065.49159375
transcript.pyannote[987].end 11070.67221875
transcript.pyannote[988].speaker SPEAKER_05
transcript.pyannote[988].start 11070.80721875
transcript.pyannote[988].end 11074.33409375
transcript.pyannote[989].speaker SPEAKER_05
transcript.pyannote[989].start 11074.85721875
transcript.pyannote[989].end 11077.67534375
transcript.pyannote[990].speaker SPEAKER_05
transcript.pyannote[990].start 11077.74284375
transcript.pyannote[990].end 11080.91534375
transcript.pyannote[991].speaker SPEAKER_05
transcript.pyannote[991].start 11081.45534375
transcript.pyannote[991].end 11082.48471875
transcript.pyannote[992].speaker SPEAKER_05
transcript.pyannote[992].start 11082.65346875
transcript.pyannote[992].end 11089.65659375
transcript.pyannote[993].speaker SPEAKER_05
transcript.pyannote[993].start 11089.96034375
transcript.pyannote[993].end 11108.48909375
transcript.pyannote[994].speaker SPEAKER_05
transcript.pyannote[994].start 11108.64096875
transcript.pyannote[994].end 11115.55971875
transcript.pyannote[995].speaker SPEAKER_05
transcript.pyannote[995].start 11115.93096875
transcript.pyannote[995].end 11118.59721875
transcript.pyannote[996].speaker SPEAKER_05
transcript.pyannote[996].start 11118.96846875
transcript.pyannote[996].end 11120.94284375
transcript.pyannote[997].speaker SPEAKER_05
transcript.pyannote[997].start 11121.11159375
transcript.pyannote[997].end 11123.74409375
transcript.pyannote[998].speaker SPEAKER_08
transcript.pyannote[998].start 11123.74409375
transcript.pyannote[998].end 11123.76096875
transcript.pyannote[999].speaker SPEAKER_08
transcript.pyannote[999].start 11126.17409375
transcript.pyannote[999].end 11129.65034375
transcript.pyannote[1000].speaker SPEAKER_18
transcript.pyannote[1000].start 11130.17346875
transcript.pyannote[1000].end 11137.02471875
transcript.pyannote[1001].speaker SPEAKER_18
transcript.pyannote[1001].start 11137.41284375
transcript.pyannote[1001].end 11140.09596875
transcript.pyannote[1002].speaker SPEAKER_18
transcript.pyannote[1002].start 11140.19721875
transcript.pyannote[1002].end 11143.65659375
transcript.pyannote[1003].speaker SPEAKER_18
transcript.pyannote[1003].start 11144.06159375
transcript.pyannote[1003].end 11147.06534375
transcript.pyannote[1004].speaker SPEAKER_18
transcript.pyannote[1004].start 11147.36909375
transcript.pyannote[1004].end 11164.46346875
transcript.pyannote[1005].speaker SPEAKER_20
transcript.pyannote[1005].start 11164.63221875
transcript.pyannote[1005].end 11211.05534375
transcript.pyannote[1006].speaker SPEAKER_20
transcript.pyannote[1006].start 11211.10596875
transcript.pyannote[1006].end 11227.10346875
transcript.pyannote[1007].speaker SPEAKER_20
transcript.pyannote[1007].start 11227.18784375
transcript.pyannote[1007].end 11234.91659375
transcript.pyannote[1008].speaker SPEAKER_20
transcript.pyannote[1008].start 11235.22034375
transcript.pyannote[1008].end 11262.27096875
transcript.pyannote[1009].speaker SPEAKER_20
transcript.pyannote[1009].start 11263.03034375
transcript.pyannote[1009].end 11290.85721875
transcript.pyannote[1010].speaker SPEAKER_16
transcript.pyannote[1010].start 11290.97534375
transcript.pyannote[1010].end 11291.75159375
transcript.pyannote[1011].speaker SPEAKER_16
transcript.pyannote[1011].start 11291.97096875
transcript.pyannote[1011].end 11292.02159375
transcript.pyannote[1012].speaker SPEAKER_16
transcript.pyannote[1012].start 11292.51096875
transcript.pyannote[1012].end 11295.22784375
transcript.pyannote[1013].speaker SPEAKER_20
transcript.pyannote[1013].start 11292.59534375
transcript.pyannote[1013].end 11293.64159375
transcript.pyannote[1014].speaker SPEAKER_05
transcript.pyannote[1014].start 11293.64159375
transcript.pyannote[1014].end 11293.69221875
transcript.pyannote[1015].speaker SPEAKER_20
transcript.pyannote[1015].start 11294.70471875
transcript.pyannote[1015].end 11294.97471875
transcript.pyannote[1016].speaker SPEAKER_05
transcript.pyannote[1016].start 11294.97471875
transcript.pyannote[1016].end 11295.19409375
transcript.pyannote[1017].speaker SPEAKER_05
transcript.pyannote[1017].start 11295.22784375
transcript.pyannote[1017].end 11297.03346875
transcript.pyannote[1018].speaker SPEAKER_05
transcript.pyannote[1018].start 11297.10096875
transcript.pyannote[1018].end 11299.63221875
transcript.pyannote[1019].speaker SPEAKER_05
transcript.pyannote[1019].start 11299.95284375
transcript.pyannote[1019].end 11299.96971875
transcript.pyannote[1020].speaker SPEAKER_16
transcript.pyannote[1020].start 11299.96971875
transcript.pyannote[1020].end 11300.12159375
transcript.pyannote[1021].speaker SPEAKER_05
transcript.pyannote[1021].start 11300.15534375
transcript.pyannote[1021].end 11301.08346875
transcript.pyannote[1022].speaker SPEAKER_05
transcript.pyannote[1022].start 11301.18471875
transcript.pyannote[1022].end 11306.68596875
transcript.pyannote[1023].speaker SPEAKER_05
transcript.pyannote[1023].start 11307.24284375
transcript.pyannote[1023].end 11309.03159375
transcript.pyannote[1024].speaker SPEAKER_05
transcript.pyannote[1024].start 11309.52096875
transcript.pyannote[1024].end 11311.88346875
transcript.pyannote[1025].speaker SPEAKER_05
transcript.pyannote[1025].start 11312.38971875
transcript.pyannote[1025].end 11314.53284375
transcript.pyannote[1026].speaker SPEAKER_05
transcript.pyannote[1026].start 11314.78596875
transcript.pyannote[1026].end 11316.05159375
transcript.pyannote[1027].speaker SPEAKER_05
transcript.pyannote[1027].start 11316.89534375
transcript.pyannote[1027].end 11336.85846875
transcript.pyannote[1028].speaker SPEAKER_05
transcript.pyannote[1028].start 11337.28034375
transcript.pyannote[1028].end 11338.49534375
transcript.pyannote[1029].speaker SPEAKER_05
transcript.pyannote[1029].start 11338.83284375
transcript.pyannote[1029].end 11339.94659375
transcript.pyannote[1030].speaker SPEAKER_05
transcript.pyannote[1030].start 11340.13221875
transcript.pyannote[1030].end 11341.06034375
transcript.pyannote[1031].speaker SPEAKER_05
transcript.pyannote[1031].start 11342.14034375
transcript.pyannote[1031].end 11345.46471875
transcript.pyannote[1032].speaker SPEAKER_05
transcript.pyannote[1032].start 11345.80221875
transcript.pyannote[1032].end 11355.74159375
transcript.pyannote[1033].speaker SPEAKER_05
transcript.pyannote[1033].start 11356.02846875
transcript.pyannote[1033].end 11363.14971875
transcript.pyannote[1034].speaker SPEAKER_05
transcript.pyannote[1034].start 11363.38596875
transcript.pyannote[1034].end 11368.87034375
transcript.pyannote[1035].speaker SPEAKER_08
transcript.pyannote[1035].start 11370.23721875
transcript.pyannote[1035].end 11371.04721875
transcript.pyannote[1036].speaker SPEAKER_08
transcript.pyannote[1036].start 11371.53659375
transcript.pyannote[1036].end 11380.17659375
transcript.pyannote[1037].speaker SPEAKER_08
transcript.pyannote[1037].start 11380.34534375
transcript.pyannote[1037].end 11381.47596875
transcript.pyannote[1038].speaker SPEAKER_08
transcript.pyannote[1038].start 11382.03284375
transcript.pyannote[1038].end 11383.34909375
transcript.pyannote[1039].speaker SPEAKER_08
transcript.pyannote[1039].start 11383.65284375
transcript.pyannote[1039].end 11385.44159375
transcript.pyannote[1040].speaker SPEAKER_08
transcript.pyannote[1040].start 11385.66096875
transcript.pyannote[1040].end 11386.80846875
transcript.pyannote[1041].speaker SPEAKER_08
transcript.pyannote[1041].start 11387.21346875
transcript.pyannote[1041].end 11387.93909375
transcript.pyannote[1042].speaker SPEAKER_08
transcript.pyannote[1042].start 11388.32721875
transcript.pyannote[1042].end 11395.39784375
transcript.pyannote[1043].speaker SPEAKER_08
transcript.pyannote[1043].start 11395.80284375
transcript.pyannote[1043].end 11399.41409375
transcript.pyannote[1044].speaker SPEAKER_08
transcript.pyannote[1044].start 11399.88659375
transcript.pyannote[1044].end 11401.69221875
transcript.pyannote[1045].speaker SPEAKER_08
transcript.pyannote[1045].start 11402.21534375
transcript.pyannote[1045].end 11406.29909375
transcript.pyannote[1046].speaker SPEAKER_18
transcript.pyannote[1046].start 11406.61971875
transcript.pyannote[1046].end 11411.59784375
transcript.pyannote[1047].speaker SPEAKER_08
transcript.pyannote[1047].start 11411.00721875
transcript.pyannote[1047].end 11413.03221875
transcript.pyannote[1048].speaker SPEAKER_08
transcript.pyannote[1048].start 11413.89284375
transcript.pyannote[1048].end 11414.90534375
transcript.pyannote[1049].speaker SPEAKER_08
transcript.pyannote[1049].start 11415.32721875
transcript.pyannote[1049].end 11418.68534375
transcript.pyannote[1050].speaker SPEAKER_08
transcript.pyannote[1050].start 11419.78221875
transcript.pyannote[1050].end 11420.52471875
transcript.pyannote[1051].speaker SPEAKER_08
transcript.pyannote[1051].start 11420.89596875
transcript.pyannote[1051].end 11423.29221875
transcript.pyannote[1052].speaker SPEAKER_08
transcript.pyannote[1052].start 11423.76471875
transcript.pyannote[1052].end 11429.70471875
transcript.pyannote[1053].speaker SPEAKER_16
transcript.pyannote[1053].start 11428.64159375
transcript.pyannote[1053].end 11436.15096875
transcript.pyannote[1054].speaker SPEAKER_08
transcript.pyannote[1054].start 11435.25659375
transcript.pyannote[1054].end 11438.93534375
transcript.pyannote[1055].speaker SPEAKER_08
transcript.pyannote[1055].start 11439.45846875
transcript.pyannote[1055].end 11446.37721875
transcript.pyannote[1056].speaker SPEAKER_18
transcript.pyannote[1056].start 11446.37721875
transcript.pyannote[1056].end 11452.03034375
transcript.pyannote[1057].speaker SPEAKER_18
transcript.pyannote[1057].start 11452.31721875
transcript.pyannote[1057].end 11457.59909375
transcript.pyannote[1058].speaker SPEAKER_18
transcript.pyannote[1058].start 11457.83534375
transcript.pyannote[1058].end 11470.35659375
transcript.pyannote[1059].speaker SPEAKER_16
transcript.pyannote[1059].start 11470.35659375
transcript.pyannote[1059].end 11471.04846875
transcript.pyannote[1060].speaker SPEAKER_18
transcript.pyannote[1060].start 11471.04846875
transcript.pyannote[1060].end 11473.20846875
transcript.pyannote[1061].speaker SPEAKER_18
transcript.pyannote[1061].start 11473.47846875
transcript.pyannote[1061].end 11482.11846875
transcript.pyannote[1062].speaker SPEAKER_16
transcript.pyannote[1062].start 11481.57846875
transcript.pyannote[1062].end 11481.96659375
transcript.pyannote[1063].speaker SPEAKER_16
transcript.pyannote[1063].start 11482.11846875
transcript.pyannote[1063].end 11483.02971875
transcript.pyannote[1064].speaker SPEAKER_16
transcript.pyannote[1064].start 11483.24909375
transcript.pyannote[1064].end 11483.48534375
transcript.pyannote[1065].speaker SPEAKER_08
transcript.pyannote[1065].start 11483.95784375
transcript.pyannote[1065].end 11483.97471875
transcript.pyannote[1066].speaker SPEAKER_05
transcript.pyannote[1066].start 11483.97471875
transcript.pyannote[1066].end 11485.03784375
transcript.pyannote[1067].speaker SPEAKER_05
transcript.pyannote[1067].start 11485.49346875
transcript.pyannote[1067].end 11494.62284375
transcript.pyannote[1068].speaker SPEAKER_05
transcript.pyannote[1068].start 11494.96034375
transcript.pyannote[1068].end 11498.35221875
transcript.pyannote[1069].speaker SPEAKER_05
transcript.pyannote[1069].start 11498.74034375
transcript.pyannote[1069].end 11508.78096875
transcript.pyannote[1070].speaker SPEAKER_05
transcript.pyannote[1070].start 11509.15221875
transcript.pyannote[1070].end 11535.76409375
transcript.pyannote[1071].speaker SPEAKER_05
transcript.pyannote[1071].start 11536.45596875
transcript.pyannote[1071].end 11544.03284375
transcript.pyannote[1072].speaker SPEAKER_05
transcript.pyannote[1072].start 11544.04971875
transcript.pyannote[1072].end 11546.39534375
transcript.pyannote[1073].speaker SPEAKER_05
transcript.pyannote[1073].start 11546.42909375
transcript.pyannote[1073].end 11546.44596875
transcript.pyannote[1074].speaker SPEAKER_05
transcript.pyannote[1074].start 11546.46284375
transcript.pyannote[1074].end 11547.67784375
transcript.pyannote[1075].speaker SPEAKER_08
transcript.pyannote[1075].start 11547.76221875
transcript.pyannote[1075].end 11547.81284375
transcript.pyannote[1076].speaker SPEAKER_18
transcript.pyannote[1076].start 11547.81284375
transcript.pyannote[1076].end 11548.09971875
transcript.pyannote[1077].speaker SPEAKER_08
transcript.pyannote[1077].start 11547.99846875
transcript.pyannote[1077].end 11548.03221875
transcript.pyannote[1078].speaker SPEAKER_05
transcript.pyannote[1078].start 11548.03221875
transcript.pyannote[1078].end 11548.96034375
transcript.pyannote[1079].speaker SPEAKER_08
transcript.pyannote[1079].start 11548.09971875
transcript.pyannote[1079].end 11548.11659375
transcript.pyannote[1080].speaker SPEAKER_08
transcript.pyannote[1080].start 11548.97721875
transcript.pyannote[1080].end 11548.99409375
transcript.pyannote[1081].speaker SPEAKER_18
transcript.pyannote[1081].start 11550.71534375
transcript.pyannote[1081].end 11551.08659375
transcript.pyannote[1082].speaker SPEAKER_08
transcript.pyannote[1082].start 11551.08659375
transcript.pyannote[1082].end 11551.91346875
transcript.pyannote[1083].speaker SPEAKER_18
transcript.pyannote[1083].start 11552.30159375
transcript.pyannote[1083].end 11552.50409375
transcript.pyannote[1084].speaker SPEAKER_18
transcript.pyannote[1084].start 11552.74034375
transcript.pyannote[1084].end 11573.76659375
transcript.pyannote[1085].speaker SPEAKER_18
transcript.pyannote[1085].start 11574.03659375
transcript.pyannote[1085].end 11583.31784375
transcript.pyannote[1086].speaker SPEAKER_18
transcript.pyannote[1086].start 11583.79034375
transcript.pyannote[1086].end 11590.62471875
transcript.pyannote[1087].speaker SPEAKER_08
transcript.pyannote[1087].start 11590.13534375
transcript.pyannote[1087].end 11590.47284375
transcript.pyannote[1088].speaker SPEAKER_08
transcript.pyannote[1088].start 11591.31659375
transcript.pyannote[1088].end 11592.09284375
transcript.pyannote[1089].speaker SPEAKER_08
transcript.pyannote[1089].start 11599.09596875
transcript.pyannote[1089].end 11605.03596875
transcript.pyannote[1090].speaker SPEAKER_08
transcript.pyannote[1090].start 11605.17096875
transcript.pyannote[1090].end 11607.04409375
transcript.pyannote[1091].speaker SPEAKER_08
transcript.pyannote[1091].start 11607.44909375
transcript.pyannote[1091].end 11609.37284375
transcript.pyannote[1092].speaker SPEAKER_08
transcript.pyannote[1092].start 11609.84534375
transcript.pyannote[1092].end 11613.50721875
transcript.pyannote[1093].speaker SPEAKER_18
transcript.pyannote[1093].start 11612.84909375
transcript.pyannote[1093].end 11613.84471875
transcript.pyannote[1094].speaker SPEAKER_08
transcript.pyannote[1094].start 11614.13159375
transcript.pyannote[1094].end 11617.64159375
transcript.pyannote[1095].speaker SPEAKER_08
transcript.pyannote[1095].start 11618.53596875
transcript.pyannote[1095].end 11621.05034375
transcript.pyannote[1096].speaker SPEAKER_08
transcript.pyannote[1096].start 11621.43846875
transcript.pyannote[1096].end 11628.20534375
transcript.pyannote[1097].speaker SPEAKER_08
transcript.pyannote[1097].start 11628.64409375
transcript.pyannote[1097].end 11629.89284375
transcript.pyannote[1098].speaker SPEAKER_18
transcript.pyannote[1098].start 11631.81659375
transcript.pyannote[1098].end 11634.78659375
transcript.pyannote[1099].speaker SPEAKER_08
transcript.pyannote[1099].start 11634.92159375
transcript.pyannote[1099].end 11639.73096875
transcript.pyannote[1100].speaker SPEAKER_08
transcript.pyannote[1100].start 11639.84909375
transcript.pyannote[1100].end 11640.74346875
transcript.pyannote[1101].speaker SPEAKER_18
transcript.pyannote[1101].start 11639.93346875
transcript.pyannote[1101].end 11640.57471875
transcript.pyannote[1102].speaker SPEAKER_18
transcript.pyannote[1102].start 11640.96284375
transcript.pyannote[1102].end 11640.99659375
transcript.pyannote[1103].speaker SPEAKER_08
transcript.pyannote[1103].start 11640.99659375
transcript.pyannote[1103].end 11641.03034375
transcript.pyannote[1104].speaker SPEAKER_18
transcript.pyannote[1104].start 11641.03034375
transcript.pyannote[1104].end 11643.24096875
transcript.pyannote[1105].speaker SPEAKER_08
transcript.pyannote[1105].start 11641.09784375
transcript.pyannote[1105].end 11641.51971875
transcript.pyannote[1106].speaker SPEAKER_08
transcript.pyannote[1106].start 11643.24096875
transcript.pyannote[1106].end 11644.18596875
transcript.pyannote[1107].speaker SPEAKER_18
transcript.pyannote[1107].start 11643.74721875
transcript.pyannote[1107].end 11646.86909375
transcript.pyannote[1108].speaker SPEAKER_08
transcript.pyannote[1108].start 11647.30784375
transcript.pyannote[1108].end 11647.69596875
transcript.pyannote[1109].speaker SPEAKER_02
transcript.pyannote[1109].start 11647.69596875
transcript.pyannote[1109].end 11647.74659375
transcript.pyannote[1110].speaker SPEAKER_02
transcript.pyannote[1110].start 11648.08409375
transcript.pyannote[1110].end 11648.15159375
transcript.pyannote[1111].speaker SPEAKER_08
transcript.pyannote[1111].start 11648.15159375
transcript.pyannote[1111].end 11649.33284375
transcript.pyannote[1112].speaker SPEAKER_02
transcript.pyannote[1112].start 11649.33284375
transcript.pyannote[1112].end 11654.56409375
transcript.pyannote[1113].speaker SPEAKER_08
transcript.pyannote[1113].start 11649.43409375
transcript.pyannote[1113].end 11649.56909375
transcript.pyannote[1114].speaker SPEAKER_18
transcript.pyannote[1114].start 11649.56909375
transcript.pyannote[1114].end 11650.09221875
transcript.pyannote[1115].speaker SPEAKER_08
transcript.pyannote[1115].start 11650.09221875
transcript.pyannote[1115].end 11650.14284375
transcript.pyannote[1116].speaker SPEAKER_08
transcript.pyannote[1116].start 11653.92284375
transcript.pyannote[1116].end 11654.54721875
transcript.pyannote[1117].speaker SPEAKER_08
transcript.pyannote[1117].start 11654.56409375
transcript.pyannote[1117].end 11654.78346875
transcript.pyannote[1118].speaker SPEAKER_02
transcript.pyannote[1118].start 11654.78346875
transcript.pyannote[1118].end 11654.81721875
transcript.pyannote[1119].speaker SPEAKER_08
transcript.pyannote[1119].start 11654.81721875
transcript.pyannote[1119].end 11655.07034375
transcript.pyannote[1120].speaker SPEAKER_02
transcript.pyannote[1120].start 11655.07034375
transcript.pyannote[1120].end 11655.10409375
transcript.pyannote[1121].speaker SPEAKER_08
transcript.pyannote[1121].start 11655.10409375
transcript.pyannote[1121].end 11655.12096875
transcript.pyannote[1122].speaker SPEAKER_02
transcript.pyannote[1122].start 11655.12096875
transcript.pyannote[1122].end 11655.17159375
transcript.pyannote[1123].speaker SPEAKER_08
transcript.pyannote[1123].start 11655.17159375
transcript.pyannote[1123].end 11661.17909375
transcript.pyannote[1124].speaker SPEAKER_08
transcript.pyannote[1124].start 11661.70221875
transcript.pyannote[1124].end 11662.57971875
transcript.pyannote[1125].speaker SPEAKER_08
transcript.pyannote[1125].start 11663.38971875
transcript.pyannote[1125].end 11665.92096875
transcript.pyannote[1126].speaker SPEAKER_18
transcript.pyannote[1126].start 11665.92096875
transcript.pyannote[1126].end 11665.97159375
transcript.pyannote[1127].speaker SPEAKER_08
transcript.pyannote[1127].start 11665.97159375
transcript.pyannote[1127].end 11668.24971875
transcript.pyannote[1128].speaker SPEAKER_08
transcript.pyannote[1128].start 11668.58721875
transcript.pyannote[1128].end 11668.60409375
transcript.pyannote[1129].speaker SPEAKER_18
transcript.pyannote[1129].start 11668.60409375
transcript.pyannote[1129].end 11668.62096875
transcript.pyannote[1130].speaker SPEAKER_08
transcript.pyannote[1130].start 11668.62096875
transcript.pyannote[1130].end 11669.68409375
transcript.pyannote[1131].speaker SPEAKER_18
transcript.pyannote[1131].start 11669.68409375
transcript.pyannote[1131].end 11669.73471875
transcript.pyannote[1132].speaker SPEAKER_08
transcript.pyannote[1132].start 11669.73471875
transcript.pyannote[1132].end 11673.22784375
transcript.pyannote[1133].speaker SPEAKER_18
transcript.pyannote[1133].start 11669.76846875
transcript.pyannote[1133].end 11670.57846875
transcript.pyannote[1134].speaker SPEAKER_18
transcript.pyannote[1134].start 11671.64159375
transcript.pyannote[1134].end 11671.82721875
transcript.pyannote[1135].speaker SPEAKER_08
transcript.pyannote[1135].start 11673.49784375
transcript.pyannote[1135].end 11674.32471875
transcript.pyannote[1136].speaker SPEAKER_08
transcript.pyannote[1136].start 11677.42971875
transcript.pyannote[1136].end 11677.44659375
transcript.pyannote[1137].speaker SPEAKER_18
transcript.pyannote[1137].start 11677.44659375
transcript.pyannote[1137].end 11679.91034375
transcript.pyannote[1138].speaker SPEAKER_08
transcript.pyannote[1138].start 11679.91034375
transcript.pyannote[1138].end 11684.68596875
transcript.pyannote[1139].speaker SPEAKER_18
transcript.pyannote[1139].start 11685.49596875
transcript.pyannote[1139].end 11687.82471875
transcript.pyannote[1140].speaker SPEAKER_08
transcript.pyannote[1140].start 11687.90909375
transcript.pyannote[1140].end 11688.29721875
transcript.pyannote[1141].speaker SPEAKER_08
transcript.pyannote[1141].start 11689.00596875
transcript.pyannote[1141].end 11691.31784375
transcript.pyannote[1142].speaker SPEAKER_08
transcript.pyannote[1142].start 11691.80721875
transcript.pyannote[1142].end 11694.38909375
transcript.pyannote[1143].speaker SPEAKER_08
transcript.pyannote[1143].start 11694.86159375
transcript.pyannote[1143].end 11695.03034375
transcript.pyannote[1144].speaker SPEAKER_18
transcript.pyannote[1144].start 11695.03034375
transcript.pyannote[1144].end 11695.55346875
transcript.pyannote[1145].speaker SPEAKER_08
transcript.pyannote[1145].start 11695.55346875
transcript.pyannote[1145].end 11696.46471875
transcript.pyannote[1146].speaker SPEAKER_18
transcript.pyannote[1146].start 11696.46471875
transcript.pyannote[1146].end 11696.48159375
transcript.pyannote[1147].speaker SPEAKER_08
transcript.pyannote[1147].start 11697.13971875
transcript.pyannote[1147].end 11703.92346875
transcript.pyannote[1148].speaker SPEAKER_18
transcript.pyannote[1148].start 11702.89409375
transcript.pyannote[1148].end 11703.23159375
transcript.pyannote[1149].speaker SPEAKER_00
transcript.pyannote[1149].start 11703.23159375
transcript.pyannote[1149].end 11703.40034375
transcript.pyannote[1150].speaker SPEAKER_08
transcript.pyannote[1150].start 11704.58159375
transcript.pyannote[1150].end 11705.86409375
transcript.pyannote[1151].speaker SPEAKER_08
transcript.pyannote[1151].start 11706.42096875
transcript.pyannote[1151].end 11707.45034375
transcript.pyannote[1152].speaker SPEAKER_08
transcript.pyannote[1152].start 11707.80471875
transcript.pyannote[1152].end 11708.34471875
transcript.pyannote[1153].speaker SPEAKER_08
transcript.pyannote[1153].start 11708.58096875
transcript.pyannote[1153].end 11709.34034375
transcript.pyannote[1154].speaker SPEAKER_08
transcript.pyannote[1154].start 11709.96471875
transcript.pyannote[1154].end 11710.42034375
transcript.pyannote[1155].speaker SPEAKER_08
transcript.pyannote[1155].start 11710.55534375
transcript.pyannote[1155].end 11713.33971875
transcript.pyannote[1156].speaker SPEAKER_08
transcript.pyannote[1156].start 11714.04846875
transcript.pyannote[1156].end 11716.63034375
transcript.pyannote[1157].speaker SPEAKER_08
transcript.pyannote[1157].start 11717.59221875
transcript.pyannote[1157].end 11720.37659375
transcript.pyannote[1158].speaker SPEAKER_18
transcript.pyannote[1158].start 11719.68471875
transcript.pyannote[1158].end 11723.17784375
transcript.pyannote[1159].speaker SPEAKER_08
transcript.pyannote[1159].start 11720.78159375
transcript.pyannote[1159].end 11722.35096875
transcript.pyannote[1160].speaker SPEAKER_18
transcript.pyannote[1160].start 11723.71784375
transcript.pyannote[1160].end 11729.48909375
transcript.pyannote[1161].speaker SPEAKER_08
transcript.pyannote[1161].start 11725.96221875
transcript.pyannote[1161].end 11728.15596875
transcript.pyannote[1162].speaker SPEAKER_08
transcript.pyannote[1162].start 11728.71284375
transcript.pyannote[1162].end 11731.15971875
transcript.pyannote[1163].speaker SPEAKER_08
transcript.pyannote[1163].start 11731.58159375
transcript.pyannote[1163].end 11732.62784375
transcript.pyannote[1164].speaker SPEAKER_08
transcript.pyannote[1164].start 11733.23534375
transcript.pyannote[1164].end 11733.92721875
transcript.pyannote[1165].speaker SPEAKER_08
transcript.pyannote[1165].start 11734.29846875
transcript.pyannote[1165].end 11735.93534375
transcript.pyannote[1166].speaker SPEAKER_08
transcript.pyannote[1166].start 11736.23909375
transcript.pyannote[1166].end 11736.93096875
transcript.pyannote[1167].speaker SPEAKER_18
transcript.pyannote[1167].start 11736.93096875
transcript.pyannote[1167].end 11736.94784375
transcript.pyannote[1168].speaker SPEAKER_08
transcript.pyannote[1168].start 11737.18409375
transcript.pyannote[1168].end 11737.25159375
transcript.pyannote[1169].speaker SPEAKER_18
transcript.pyannote[1169].start 11737.25159375
transcript.pyannote[1169].end 11738.98971875
transcript.pyannote[1170].speaker SPEAKER_18
transcript.pyannote[1170].start 11740.01909375
transcript.pyannote[1170].end 11740.23846875
transcript.pyannote[1171].speaker SPEAKER_18
transcript.pyannote[1171].start 11740.60971875
transcript.pyannote[1171].end 11743.96784375
transcript.pyannote[1172].speaker SPEAKER_17
transcript.pyannote[1172].start 11743.96784375
transcript.pyannote[1172].end 11744.38971875
transcript.pyannote[1173].speaker SPEAKER_16
transcript.pyannote[1173].start 11744.71034375
transcript.pyannote[1173].end 11744.84534375
transcript.pyannote[1174].speaker SPEAKER_17
transcript.pyannote[1174].start 11744.84534375
transcript.pyannote[1174].end 11749.70534375
transcript.pyannote[1175].speaker SPEAKER_17
transcript.pyannote[1175].start 11750.05971875
transcript.pyannote[1175].end 11756.60721875
transcript.pyannote[1176].speaker SPEAKER_17
transcript.pyannote[1176].start 11756.84346875
transcript.pyannote[1176].end 11767.13721875
transcript.pyannote[1177].speaker SPEAKER_17
transcript.pyannote[1177].start 11767.35659375
transcript.pyannote[1177].end 11770.20846875
transcript.pyannote[1178].speaker SPEAKER_17
transcript.pyannote[1178].start 11770.49534375
transcript.pyannote[1178].end 11771.79471875
transcript.pyannote[1179].speaker SPEAKER_17
transcript.pyannote[1179].start 11772.55409375
transcript.pyannote[1179].end 11774.29221875
transcript.pyannote[1180].speaker SPEAKER_17
transcript.pyannote[1180].start 11774.47784375
transcript.pyannote[1180].end 11783.03346875
transcript.pyannote[1181].speaker SPEAKER_16
transcript.pyannote[1181].start 11782.13909375
transcript.pyannote[1181].end 11782.96596875
transcript.pyannote[1182].speaker SPEAKER_18
transcript.pyannote[1182].start 11782.96596875
transcript.pyannote[1182].end 11783.10096875
transcript.pyannote[1183].speaker SPEAKER_16
transcript.pyannote[1183].start 11783.03346875
transcript.pyannote[1183].end 11783.06721875
transcript.pyannote[1184].speaker SPEAKER_17
transcript.pyannote[1184].start 11783.06721875
transcript.pyannote[1184].end 11783.11784375
transcript.pyannote[1185].speaker SPEAKER_18
transcript.pyannote[1185].start 11783.11784375
transcript.pyannote[1185].end 11790.76221875
transcript.pyannote[1186].speaker SPEAKER_18
transcript.pyannote[1186].start 11791.09971875
transcript.pyannote[1186].end 11792.55096875
transcript.pyannote[1187].speaker SPEAKER_18
transcript.pyannote[1187].start 11792.83784375
transcript.pyannote[1187].end 11806.15221875
transcript.pyannote[1188].speaker SPEAKER_18
transcript.pyannote[1188].start 11809.13909375
transcript.pyannote[1188].end 11812.22721875
transcript.pyannote[1189].speaker SPEAKER_08
transcript.pyannote[1189].start 11811.90659375
transcript.pyannote[1189].end 11811.92346875
transcript.pyannote[1190].speaker SPEAKER_03
transcript.pyannote[1190].start 11811.92346875
transcript.pyannote[1190].end 11812.14284375
transcript.pyannote[1191].speaker SPEAKER_08
transcript.pyannote[1191].start 11812.14284375
transcript.pyannote[1191].end 11812.19346875
transcript.pyannote[1192].speaker SPEAKER_08
transcript.pyannote[1192].start 11812.22721875
transcript.pyannote[1192].end 11812.44659375
transcript.pyannote[1193].speaker SPEAKER_03
transcript.pyannote[1193].start 11812.44659375
transcript.pyannote[1193].end 11812.53096875
transcript.pyannote[1194].speaker SPEAKER_08
transcript.pyannote[1194].start 11812.53096875
transcript.pyannote[1194].end 11812.96971875
transcript.pyannote[1195].speaker SPEAKER_03
transcript.pyannote[1195].start 11812.96971875
transcript.pyannote[1195].end 11813.45909375
transcript.pyannote[1196].speaker SPEAKER_03
transcript.pyannote[1196].start 11814.18471875
transcript.pyannote[1196].end 11815.70346875
transcript.pyannote[1197].speaker SPEAKER_03
transcript.pyannote[1197].start 11815.75409375
transcript.pyannote[1197].end 11838.97409375
transcript.pyannote[1198].speaker SPEAKER_18
transcript.pyannote[1198].start 11817.94784375
transcript.pyannote[1198].end 11818.35284375
transcript.pyannote[1199].speaker SPEAKER_00
transcript.pyannote[1199].start 11818.35284375
transcript.pyannote[1199].end 11818.36971875
transcript.pyannote[1200].speaker SPEAKER_03
transcript.pyannote[1200].start 11839.17659375
transcript.pyannote[1200].end 11852.18721875
transcript.pyannote[1201].speaker SPEAKER_03
transcript.pyannote[1201].start 11852.52471875
transcript.pyannote[1201].end 11866.80096875
transcript.pyannote[1202].speaker SPEAKER_17
transcript.pyannote[1202].start 11866.61534375
transcript.pyannote[1202].end 11881.49909375
transcript.pyannote[1203].speaker SPEAKER_17
transcript.pyannote[1203].start 11881.78596875
transcript.pyannote[1203].end 11882.51159375
transcript.pyannote[1204].speaker SPEAKER_17
transcript.pyannote[1204].start 11883.15284375
transcript.pyannote[1204].end 11886.32534375
transcript.pyannote[1205].speaker SPEAKER_17
transcript.pyannote[1205].start 11886.59534375
transcript.pyannote[1205].end 11889.49784375
transcript.pyannote[1206].speaker SPEAKER_18
transcript.pyannote[1206].start 11889.49784375
transcript.pyannote[1206].end 11889.51471875
transcript.pyannote[1207].speaker SPEAKER_17
transcript.pyannote[1207].start 11889.95346875
transcript.pyannote[1207].end 11890.03784375
transcript.pyannote[1208].speaker SPEAKER_18
transcript.pyannote[1208].start 11890.03784375
transcript.pyannote[1208].end 11891.11784375
transcript.pyannote[1209].speaker SPEAKER_17
transcript.pyannote[1209].start 11891.47221875
transcript.pyannote[1209].end 11891.48909375
transcript.pyannote[1210].speaker SPEAKER_18
transcript.pyannote[1210].start 11891.48909375
transcript.pyannote[1210].end 11896.36596875
transcript.pyannote[1211].speaker SPEAKER_18
transcript.pyannote[1211].start 11896.56846875
transcript.pyannote[1211].end 11897.73284375
transcript.pyannote[1212].speaker SPEAKER_18
transcript.pyannote[1212].start 11897.81721875
transcript.pyannote[1212].end 11899.38659375
transcript.pyannote[1213].speaker SPEAKER_18
transcript.pyannote[1213].start 11900.01096875
transcript.pyannote[1213].end 11900.82096875
transcript.pyannote[1214].speaker SPEAKER_18
transcript.pyannote[1214].start 11901.19221875
transcript.pyannote[1214].end 11910.50721875
transcript.pyannote[1215].speaker SPEAKER_17
transcript.pyannote[1215].start 11909.83221875
transcript.pyannote[1215].end 11914.62471875
transcript.pyannote[1216].speaker SPEAKER_18
transcript.pyannote[1216].start 11912.75159375
transcript.pyannote[1216].end 11925.42471875
transcript.pyannote[1217].speaker SPEAKER_17
transcript.pyannote[1217].start 11914.64159375
transcript.pyannote[1217].end 11914.65846875
transcript.pyannote[1218].speaker SPEAKER_18
transcript.pyannote[1218].start 11925.69471875
transcript.pyannote[1218].end 11935.19534375
transcript.pyannote[1219].speaker SPEAKER_18
transcript.pyannote[1219].start 11935.61721875
transcript.pyannote[1219].end 11939.97096875
transcript.pyannote[1220].speaker SPEAKER_17
transcript.pyannote[1220].start 11939.97096875
transcript.pyannote[1220].end 11947.63221875
transcript.pyannote[1221].speaker SPEAKER_18
transcript.pyannote[1221].start 11942.95784375
transcript.pyannote[1221].end 11943.34596875
transcript.pyannote[1222].speaker SPEAKER_18
transcript.pyannote[1222].start 11946.13034375
transcript.pyannote[1222].end 11946.51846875
transcript.pyannote[1223].speaker SPEAKER_18
transcript.pyannote[1223].start 11949.01596875
transcript.pyannote[1223].end 11953.25159375
transcript.pyannote[1224].speaker SPEAKER_17
transcript.pyannote[1224].start 11949.10034375
transcript.pyannote[1224].end 11949.40409375
transcript.pyannote[1225].speaker SPEAKER_17
transcript.pyannote[1225].start 11950.58534375
transcript.pyannote[1225].end 11950.78784375
transcript.pyannote[1226].speaker SPEAKER_18
transcript.pyannote[1226].start 11953.53846875
transcript.pyannote[1226].end 11961.82409375
transcript.pyannote[1227].speaker SPEAKER_18
transcript.pyannote[1227].start 11962.07721875
transcript.pyannote[1227].end 11966.61659375
transcript.pyannote[1228].speaker SPEAKER_08
transcript.pyannote[1228].start 11964.86159375
transcript.pyannote[1228].end 11967.67971875
transcript.pyannote[1229].speaker SPEAKER_08
transcript.pyannote[1229].start 11968.81034375
transcript.pyannote[1229].end 11970.93659375
transcript.pyannote[1230].speaker SPEAKER_18
transcript.pyannote[1230].start 11968.94534375
transcript.pyannote[1230].end 11969.33346875
transcript.pyannote[1231].speaker SPEAKER_18
transcript.pyannote[1231].start 11970.93659375
transcript.pyannote[1231].end 11971.91534375
transcript.pyannote[1232].speaker SPEAKER_08
transcript.pyannote[1232].start 11971.42596875
transcript.pyannote[1232].end 11973.33284375
transcript.pyannote[1233].speaker SPEAKER_18
transcript.pyannote[1233].start 11972.53971875
transcript.pyannote[1233].end 11976.11721875
transcript.pyannote[1234].speaker SPEAKER_03
transcript.pyannote[1234].start 11976.11721875
transcript.pyannote[1234].end 11976.16784375
transcript.pyannote[1235].speaker SPEAKER_03
transcript.pyannote[1235].start 11976.28596875
transcript.pyannote[1235].end 11980.97721875
transcript.pyannote[1236].speaker SPEAKER_17
transcript.pyannote[1236].start 11979.76221875
transcript.pyannote[1236].end 11984.79096875
transcript.pyannote[1237].speaker SPEAKER_03
transcript.pyannote[1237].start 11981.93909375
transcript.pyannote[1237].end 11982.10784375
transcript.pyannote[1238].speaker SPEAKER_08
transcript.pyannote[1238].start 11984.85846875
transcript.pyannote[1238].end 11988.11534375
transcript.pyannote[1239].speaker SPEAKER_08
transcript.pyannote[1239].start 11988.36846875
transcript.pyannote[1239].end 11988.65534375
transcript.pyannote[1240].speaker SPEAKER_08
transcript.pyannote[1240].start 11988.68909375
transcript.pyannote[1240].end 11995.94534375
transcript.pyannote[1241].speaker SPEAKER_08
transcript.pyannote[1241].start 11996.40096875
transcript.pyannote[1241].end 11997.76784375
transcript.pyannote[1242].speaker SPEAKER_08
transcript.pyannote[1242].start 11998.18971875
transcript.pyannote[1242].end 11998.52721875
transcript.pyannote[1243].speaker SPEAKER_08
transcript.pyannote[1243].start 11998.71284375
transcript.pyannote[1243].end 11999.48909375
transcript.pyannote[1244].speaker SPEAKER_08
transcript.pyannote[1244].start 11999.64096875
transcript.pyannote[1244].end 12006.47534375
transcript.pyannote[1245].speaker SPEAKER_08
transcript.pyannote[1245].start 12007.33596875
transcript.pyannote[1245].end 12011.72346875
transcript.pyannote[1246].speaker SPEAKER_08
transcript.pyannote[1246].start 12012.87096875
transcript.pyannote[1246].end 12014.32221875
transcript.pyannote[1247].speaker SPEAKER_03
transcript.pyannote[1247].start 12016.16159375
transcript.pyannote[1247].end 12022.87784375
transcript.pyannote[1248].speaker SPEAKER_03
transcript.pyannote[1248].start 12023.18159375
transcript.pyannote[1248].end 12036.32721875
transcript.pyannote[1249].speaker SPEAKER_08
transcript.pyannote[1249].start 12024.53159375
transcript.pyannote[1249].end 12024.54846875
transcript.pyannote[1250].speaker SPEAKER_08
transcript.pyannote[1250].start 12024.81846875
transcript.pyannote[1250].end 12025.07159375
transcript.pyannote[1251].speaker SPEAKER_08
transcript.pyannote[1251].start 12025.83096875
transcript.pyannote[1251].end 12025.89846875
transcript.pyannote[1252].speaker SPEAKER_08
transcript.pyannote[1252].start 12035.01096875
transcript.pyannote[1252].end 12035.92221875
transcript.pyannote[1253].speaker SPEAKER_17
transcript.pyannote[1253].start 12036.44534375
transcript.pyannote[1253].end 12037.62659375
transcript.pyannote[1254].speaker SPEAKER_03
transcript.pyannote[1254].start 12037.67721875
transcript.pyannote[1254].end 12037.82909375
transcript.pyannote[1255].speaker SPEAKER_17
transcript.pyannote[1255].start 12037.82909375
transcript.pyannote[1255].end 12039.65159375
transcript.pyannote[1256].speaker SPEAKER_17
transcript.pyannote[1256].start 12040.78221875
transcript.pyannote[1256].end 12041.01846875
transcript.pyannote[1257].speaker SPEAKER_03
transcript.pyannote[1257].start 12041.11971875
transcript.pyannote[1257].end 12043.22909375
transcript.pyannote[1258].speaker SPEAKER_03
transcript.pyannote[1258].start 12043.34721875
transcript.pyannote[1258].end 12045.82784375
transcript.pyannote[1259].speaker SPEAKER_08
transcript.pyannote[1259].start 12045.96284375
transcript.pyannote[1259].end 12046.01346875
transcript.pyannote[1260].speaker SPEAKER_03
transcript.pyannote[1260].start 12046.01346875
transcript.pyannote[1260].end 12047.49846875
transcript.pyannote[1261].speaker SPEAKER_17
transcript.pyannote[1261].start 12046.23284375
transcript.pyannote[1261].end 12048.24096875
transcript.pyannote[1262].speaker SPEAKER_08
transcript.pyannote[1262].start 12047.49846875
transcript.pyannote[1262].end 12047.58284375
transcript.pyannote[1263].speaker SPEAKER_08
transcript.pyannote[1263].start 12048.30846875
transcript.pyannote[1263].end 12049.37159375
transcript.pyannote[1264].speaker SPEAKER_08
transcript.pyannote[1264].start 12049.74284375
transcript.pyannote[1264].end 12052.18971875
transcript.pyannote[1265].speaker SPEAKER_08
transcript.pyannote[1265].start 12052.47659375
transcript.pyannote[1265].end 12053.65784375
transcript.pyannote[1266].speaker SPEAKER_08
transcript.pyannote[1266].start 12054.26534375
transcript.pyannote[1266].end 12055.56471875
transcript.pyannote[1267].speaker SPEAKER_08
transcript.pyannote[1267].start 12055.96971875
transcript.pyannote[1267].end 12056.10471875
transcript.pyannote[1268].speaker SPEAKER_08
transcript.pyannote[1268].start 12056.37471875
transcript.pyannote[1268].end 12057.38721875
transcript.pyannote[1269].speaker SPEAKER_08
transcript.pyannote[1269].start 12059.07471875
transcript.pyannote[1269].end 12059.51346875
transcript.pyannote[1270].speaker SPEAKER_08
transcript.pyannote[1270].start 12064.17096875
transcript.pyannote[1270].end 12065.95971875
transcript.pyannote[1271].speaker SPEAKER_08
transcript.pyannote[1271].start 12066.01034375
transcript.pyannote[1271].end 12066.09471875
transcript.pyannote[1272].speaker SPEAKER_18
transcript.pyannote[1272].start 12066.09471875
transcript.pyannote[1272].end 12066.41534375
transcript.pyannote[1273].speaker SPEAKER_08
transcript.pyannote[1273].start 12066.41534375
transcript.pyannote[1273].end 12070.11096875
transcript.pyannote[1274].speaker SPEAKER_17
transcript.pyannote[1274].start 12069.43596875
transcript.pyannote[1274].end 12074.39721875
transcript.pyannote[1275].speaker SPEAKER_18
transcript.pyannote[1275].start 12071.47784375
transcript.pyannote[1275].end 12072.22034375
transcript.pyannote[1276].speaker SPEAKER_17
transcript.pyannote[1276].start 12074.56596875
transcript.pyannote[1276].end 12079.24034375
transcript.pyannote[1277].speaker SPEAKER_08
transcript.pyannote[1277].start 12077.89034375
transcript.pyannote[1277].end 12078.16034375
transcript.pyannote[1278].speaker SPEAKER_08
transcript.pyannote[1278].start 12078.29534375
transcript.pyannote[1278].end 12078.70034375
transcript.pyannote[1279].speaker SPEAKER_08
transcript.pyannote[1279].start 12079.03784375
transcript.pyannote[1279].end 12082.96971875
transcript.pyannote[1280].speaker SPEAKER_17
transcript.pyannote[1280].start 12083.23971875
transcript.pyannote[1280].end 12083.25659375
transcript.pyannote[1281].speaker SPEAKER_16
transcript.pyannote[1281].start 12083.25659375
transcript.pyannote[1281].end 12083.89784375
transcript.pyannote[1282].speaker SPEAKER_08
transcript.pyannote[1282].start 12083.27346875
transcript.pyannote[1282].end 12084.30284375
transcript.pyannote[1283].speaker SPEAKER_08
transcript.pyannote[1283].start 12084.64034375
transcript.pyannote[1283].end 12085.16346875
transcript.pyannote[1284].speaker SPEAKER_08
transcript.pyannote[1284].start 12085.77096875
transcript.pyannote[1284].end 12090.69846875
transcript.pyannote[1285].speaker SPEAKER_08
transcript.pyannote[1285].start 12091.00221875
transcript.pyannote[1285].end 12094.09034375
transcript.pyannote[1286].speaker SPEAKER_08
transcript.pyannote[1286].start 12094.61346875
transcript.pyannote[1286].end 12095.17034375
transcript.pyannote[1287].speaker SPEAKER_08
transcript.pyannote[1287].start 12095.67659375
transcript.pyannote[1287].end 12098.52846875
transcript.pyannote[1288].speaker SPEAKER_08
transcript.pyannote[1288].start 12098.79846875
transcript.pyannote[1288].end 12099.42284375
transcript.pyannote[1289].speaker SPEAKER_08
transcript.pyannote[1289].start 12099.67596875
transcript.pyannote[1289].end 12102.22409375
transcript.pyannote[1290].speaker SPEAKER_08
transcript.pyannote[1290].start 12102.51096875
transcript.pyannote[1290].end 12105.56534375
transcript.pyannote[1291].speaker SPEAKER_08
transcript.pyannote[1291].start 12105.63284375
transcript.pyannote[1291].end 12105.71721875
transcript.pyannote[1292].speaker SPEAKER_08
transcript.pyannote[1292].start 12105.76784375
transcript.pyannote[1292].end 12107.32034375
transcript.pyannote[1293].speaker SPEAKER_08
transcript.pyannote[1293].start 12107.69159375
transcript.pyannote[1293].end 12108.46784375
transcript.pyannote[1294].speaker SPEAKER_08
transcript.pyannote[1294].start 12108.90659375
transcript.pyannote[1294].end 12116.07846875
transcript.pyannote[1295].speaker SPEAKER_17
transcript.pyannote[1295].start 12112.02846875
transcript.pyannote[1295].end 12113.24346875
transcript.pyannote[1296].speaker SPEAKER_17
transcript.pyannote[1296].start 12115.40346875
transcript.pyannote[1296].end 12119.92596875
transcript.pyannote[1297].speaker SPEAKER_17
transcript.pyannote[1297].start 12119.97659375
transcript.pyannote[1297].end 12120.28034375
transcript.pyannote[1298].speaker SPEAKER_08
transcript.pyannote[1298].start 12121.22534375
transcript.pyannote[1298].end 12121.56284375
transcript.pyannote[1299].speaker SPEAKER_08
transcript.pyannote[1299].start 12124.04346875
transcript.pyannote[1299].end 12124.58346875
transcript.pyannote[1300].speaker SPEAKER_08
transcript.pyannote[1300].start 12125.17409375
transcript.pyannote[1300].end 12125.57909375
transcript.pyannote[1301].speaker SPEAKER_08
transcript.pyannote[1301].start 12125.89971875
transcript.pyannote[1301].end 12127.65471875
transcript.pyannote[1302].speaker SPEAKER_08
transcript.pyannote[1302].start 12128.97096875
transcript.pyannote[1302].end 12130.25346875
transcript.pyannote[1303].speaker SPEAKER_08
transcript.pyannote[1303].start 12132.88596875
transcript.pyannote[1303].end 12133.37534375
transcript.pyannote[1304].speaker SPEAKER_18
transcript.pyannote[1304].start 12133.94909375
transcript.pyannote[1304].end 12134.11784375
transcript.pyannote[1305].speaker SPEAKER_18
transcript.pyannote[1305].start 12134.20221875
transcript.pyannote[1305].end 12137.00346875
transcript.pyannote[1306].speaker SPEAKER_08
transcript.pyannote[1306].start 12136.51409375
transcript.pyannote[1306].end 12138.50534375
transcript.pyannote[1307].speaker SPEAKER_18
transcript.pyannote[1307].start 12137.50971875
transcript.pyannote[1307].end 12139.31534375
transcript.pyannote[1308].speaker SPEAKER_18
transcript.pyannote[1308].start 12139.55159375
transcript.pyannote[1308].end 12145.27221875
transcript.pyannote[1309].speaker SPEAKER_08
transcript.pyannote[1309].start 12145.77846875
transcript.pyannote[1309].end 12146.31846875
transcript.pyannote[1310].speaker SPEAKER_16
transcript.pyannote[1310].start 12146.31846875
transcript.pyannote[1310].end 12147.21284375
transcript.pyannote[1311].speaker SPEAKER_08
transcript.pyannote[1311].start 12147.21284375
transcript.pyannote[1311].end 12155.48159375
transcript.pyannote[1312].speaker SPEAKER_16
transcript.pyannote[1312].start 12147.34784375
transcript.pyannote[1312].end 12147.36471875
transcript.pyannote[1313].speaker SPEAKER_16
transcript.pyannote[1313].start 12147.38159375
transcript.pyannote[1313].end 12147.43221875
transcript.pyannote[1314].speaker SPEAKER_16
transcript.pyannote[1314].start 12152.08971875
transcript.pyannote[1314].end 12152.30909375
transcript.pyannote[1315].speaker SPEAKER_08
transcript.pyannote[1315].start 12156.07221875
transcript.pyannote[1315].end 12158.28284375
transcript.pyannote[1316].speaker SPEAKER_16
transcript.pyannote[1316].start 12157.08471875
transcript.pyannote[1316].end 12157.48971875
transcript.pyannote[1317].speaker SPEAKER_16
transcript.pyannote[1317].start 12157.96221875
transcript.pyannote[1317].end 12158.33346875
transcript.pyannote[1318].speaker SPEAKER_08
transcript.pyannote[1318].start 12158.78909375
transcript.pyannote[1318].end 12159.66659375
transcript.pyannote[1319].speaker SPEAKER_08
transcript.pyannote[1319].start 12160.22346875
transcript.pyannote[1319].end 12164.10471875
transcript.pyannote[1320].speaker SPEAKER_08
transcript.pyannote[1320].start 12165.04971875
transcript.pyannote[1320].end 12166.07909375
transcript.pyannote[1321].speaker SPEAKER_18
transcript.pyannote[1321].start 12167.44596875
transcript.pyannote[1321].end 12170.75346875
transcript.pyannote[1322].speaker SPEAKER_08
transcript.pyannote[1322].start 12167.46284375
transcript.pyannote[1322].end 12167.88471875
transcript.pyannote[1323].speaker SPEAKER_08
transcript.pyannote[1323].start 12170.75346875
transcript.pyannote[1323].end 12171.69846875
transcript.pyannote[1324].speaker SPEAKER_18
transcript.pyannote[1324].start 12172.05284375
transcript.pyannote[1324].end 12173.35221875
transcript.pyannote[1325].speaker SPEAKER_08
transcript.pyannote[1325].start 12172.99784375
transcript.pyannote[1325].end 12175.34346875
transcript.pyannote[1326].speaker SPEAKER_18
transcript.pyannote[1326].start 12175.10721875
transcript.pyannote[1326].end 12175.39409375
transcript.pyannote[1327].speaker SPEAKER_08
transcript.pyannote[1327].start 12175.39409375
transcript.pyannote[1327].end 12177.85784375
transcript.pyannote[1328].speaker SPEAKER_18
transcript.pyannote[1328].start 12177.25034375
transcript.pyannote[1328].end 12180.03471875
transcript.pyannote[1329].speaker SPEAKER_08
transcript.pyannote[1329].start 12179.03909375
transcript.pyannote[1329].end 12181.82346875
transcript.pyannote[1330].speaker SPEAKER_18
transcript.pyannote[1330].start 12180.92909375
transcript.pyannote[1330].end 12181.72221875
transcript.pyannote[1331].speaker SPEAKER_08
transcript.pyannote[1331].start 12182.46471875
transcript.pyannote[1331].end 12184.60784375
transcript.pyannote[1332].speaker SPEAKER_08
transcript.pyannote[1332].start 12184.81034375
transcript.pyannote[1332].end 12185.60346875
transcript.pyannote[1333].speaker SPEAKER_08
transcript.pyannote[1333].start 12186.09284375
transcript.pyannote[1333].end 12195.05346875
transcript.pyannote[1334].speaker SPEAKER_08
transcript.pyannote[1334].start 12195.34034375
transcript.pyannote[1334].end 12196.69034375
transcript.pyannote[1335].speaker SPEAKER_08
transcript.pyannote[1335].start 12196.90971875
transcript.pyannote[1335].end 12198.10784375
transcript.pyannote[1336].speaker SPEAKER_08
transcript.pyannote[1336].start 12198.47909375
transcript.pyannote[1336].end 12199.15409375
transcript.pyannote[1337].speaker SPEAKER_08
transcript.pyannote[1337].start 12199.30596875
transcript.pyannote[1337].end 12200.74034375
transcript.pyannote[1338].speaker SPEAKER_08
transcript.pyannote[1338].start 12203.18721875
transcript.pyannote[1338].end 12203.52471875
transcript.pyannote[1339].speaker SPEAKER_08
transcript.pyannote[1339].start 12204.38534375
transcript.pyannote[1339].end 12210.91596875
transcript.pyannote[1340].speaker SPEAKER_08
transcript.pyannote[1340].start 12212.40096875
transcript.pyannote[1340].end 12214.71284375
transcript.pyannote[1341].speaker SPEAKER_08
transcript.pyannote[1341].start 12534.61221875
transcript.pyannote[1341].end 12535.03409375
transcript.pyannote[1342].speaker SPEAKER_08
transcript.pyannote[1342].start 12536.36721875
transcript.pyannote[1342].end 12538.25721875
transcript.pyannote[1343].speaker SPEAKER_08
transcript.pyannote[1343].start 12539.08409375
transcript.pyannote[1343].end 12540.87284375
transcript.pyannote[1344].speaker SPEAKER_08
transcript.pyannote[1344].start 12541.15971875
transcript.pyannote[1344].end 12542.30721875
transcript.pyannote[1345].speaker SPEAKER_08
transcript.pyannote[1345].start 12543.47159375
transcript.pyannote[1345].end 12547.62284375
transcript.pyannote[1346].speaker SPEAKER_08
transcript.pyannote[1346].start 12549.68159375
transcript.pyannote[1346].end 12552.66846875
transcript.pyannote[1347].speaker SPEAKER_08
transcript.pyannote[1347].start 12554.50784375
transcript.pyannote[1347].end 12555.73971875
transcript.pyannote[1348].speaker SPEAKER_08
transcript.pyannote[1348].start 12556.97159375
transcript.pyannote[1348].end 12558.18659375
transcript.pyannote[1349].speaker SPEAKER_08
transcript.pyannote[1349].start 12558.43971875
transcript.pyannote[1349].end 12560.04284375
transcript.pyannote[1350].speaker SPEAKER_08
transcript.pyannote[1350].start 12561.22409375
transcript.pyannote[1350].end 12562.67534375
transcript.pyannote[1351].speaker SPEAKER_08
transcript.pyannote[1351].start 12564.00846875
transcript.pyannote[1351].end 12566.35409375
transcript.pyannote[1352].speaker SPEAKER_08
transcript.pyannote[1352].start 12566.69159375
transcript.pyannote[1352].end 12567.75471875
transcript.pyannote[1353].speaker SPEAKER_08
transcript.pyannote[1353].start 12568.81784375
transcript.pyannote[1353].end 12571.70346875
transcript.pyannote[1354].speaker SPEAKER_08
transcript.pyannote[1354].start 12572.32784375
transcript.pyannote[1354].end 12573.89721875
transcript.pyannote[1355].speaker SPEAKER_08
transcript.pyannote[1355].start 12574.84221875
transcript.pyannote[1355].end 12578.75721875
transcript.pyannote[1356].speaker SPEAKER_08
transcript.pyannote[1356].start 12579.92159375
transcript.pyannote[1356].end 12581.00159375
transcript.pyannote[1357].speaker SPEAKER_16
transcript.pyannote[1357].start 12580.83284375
transcript.pyannote[1357].end 12580.84971875
transcript.pyannote[1358].speaker SPEAKER_16
transcript.pyannote[1358].start 12581.00159375
transcript.pyannote[1358].end 12585.42284375
transcript.pyannote[1359].speaker SPEAKER_08
transcript.pyannote[1359].start 12581.65971875
transcript.pyannote[1359].end 12581.76096875
transcript.pyannote[1360].speaker SPEAKER_08
transcript.pyannote[1360].start 12581.96346875
transcript.pyannote[1360].end 12582.04784375
transcript.pyannote[1361].speaker SPEAKER_08
transcript.pyannote[1361].start 12582.08159375
transcript.pyannote[1361].end 12587.26221875
transcript.pyannote[1362].speaker SPEAKER_16
transcript.pyannote[1362].start 12585.87846875
transcript.pyannote[1362].end 12587.24534375
transcript.pyannote[1363].speaker SPEAKER_16
transcript.pyannote[1363].start 12587.26221875
transcript.pyannote[1363].end 12588.42659375
transcript.pyannote[1364].speaker SPEAKER_08
transcript.pyannote[1364].start 12589.06784375
transcript.pyannote[1364].end 12591.64971875
transcript.pyannote[1365].speaker SPEAKER_08
transcript.pyannote[1365].start 12591.88596875
transcript.pyannote[1365].end 12593.48909375
transcript.pyannote[1366].speaker SPEAKER_08
transcript.pyannote[1366].start 12594.07971875
transcript.pyannote[1366].end 12595.02471875
transcript.pyannote[1367].speaker SPEAKER_08
transcript.pyannote[1367].start 12599.95221875
transcript.pyannote[1367].end 12604.03596875
transcript.pyannote[1368].speaker SPEAKER_08
transcript.pyannote[1368].start 12604.54221875
transcript.pyannote[1368].end 12606.02721875
transcript.pyannote[1369].speaker SPEAKER_02
transcript.pyannote[1369].start 12606.02721875
transcript.pyannote[1369].end 12646.27409375
transcript.pyannote[1370].speaker SPEAKER_02
transcript.pyannote[1370].start 12646.56096875
transcript.pyannote[1370].end 12673.20659375
transcript.pyannote[1371].speaker SPEAKER_08
transcript.pyannote[1371].start 12673.40909375
transcript.pyannote[1371].end 12674.57346875
transcript.pyannote[1372].speaker SPEAKER_08
transcript.pyannote[1372].start 12674.75909375
transcript.pyannote[1372].end 12677.25659375
transcript.pyannote[1373].speaker SPEAKER_17
transcript.pyannote[1373].start 12678.20159375
transcript.pyannote[1373].end 12683.87159375
transcript.pyannote[1374].speaker SPEAKER_17
transcript.pyannote[1374].start 12684.20909375
transcript.pyannote[1374].end 12692.15721875
transcript.pyannote[1375].speaker SPEAKER_17
transcript.pyannote[1375].start 12693.03471875
transcript.pyannote[1375].end 12709.94346875
transcript.pyannote[1376].speaker SPEAKER_17
transcript.pyannote[1376].start 12710.29784375
transcript.pyannote[1376].end 12720.32159375
transcript.pyannote[1377].speaker SPEAKER_08
transcript.pyannote[1377].start 12720.38909375
transcript.pyannote[1377].end 12721.09784375
transcript.pyannote[1378].speaker SPEAKER_08
transcript.pyannote[1378].start 12721.45221875
transcript.pyannote[1378].end 12723.05534375
transcript.pyannote[1379].speaker SPEAKER_08
transcript.pyannote[1379].start 12723.32534375
transcript.pyannote[1379].end 12723.79784375
transcript.pyannote[1380].speaker SPEAKER_08
transcript.pyannote[1380].start 12724.62471875
transcript.pyannote[1380].end 12726.53159375
transcript.pyannote[1381].speaker SPEAKER_08
transcript.pyannote[1381].start 12726.66659375
transcript.pyannote[1381].end 12727.45971875
transcript.pyannote[1382].speaker SPEAKER_08
transcript.pyannote[1382].start 12727.64534375
transcript.pyannote[1382].end 12729.13034375
transcript.pyannote[1383].speaker SPEAKER_08
transcript.pyannote[1383].start 12729.24846875
transcript.pyannote[1383].end 12730.05846875
transcript.pyannote[1384].speaker SPEAKER_08
transcript.pyannote[1384].start 12730.69971875
transcript.pyannote[1384].end 12732.45471875
transcript.pyannote[1385].speaker SPEAKER_08
transcript.pyannote[1385].start 12732.92721875
transcript.pyannote[1385].end 12733.28159375
transcript.pyannote[1386].speaker SPEAKER_08
transcript.pyannote[1386].start 12733.55159375
transcript.pyannote[1386].end 12735.27284375
transcript.pyannote[1387].speaker SPEAKER_08
transcript.pyannote[1387].start 12735.81284375
transcript.pyannote[1387].end 12737.02784375
transcript.pyannote[1388].speaker SPEAKER_08
transcript.pyannote[1388].start 12738.00659375
transcript.pyannote[1388].end 12738.73221875
transcript.pyannote[1389].speaker SPEAKER_08
transcript.pyannote[1389].start 12739.13721875
transcript.pyannote[1389].end 12739.86284375
transcript.pyannote[1390].speaker SPEAKER_08
transcript.pyannote[1390].start 12740.06534375
transcript.pyannote[1390].end 12741.34784375
transcript.pyannote[1391].speaker SPEAKER_05
transcript.pyannote[1391].start 12741.34784375
transcript.pyannote[1391].end 12741.43221875
transcript.pyannote[1392].speaker SPEAKER_05
transcript.pyannote[1392].start 12741.92159375
transcript.pyannote[1392].end 12741.97221875
transcript.pyannote[1393].speaker SPEAKER_05
transcript.pyannote[1393].start 12742.39409375
transcript.pyannote[1393].end 12746.03909375
transcript.pyannote[1394].speaker SPEAKER_05
transcript.pyannote[1394].start 12746.52846875
transcript.pyannote[1394].end 12748.23284375
transcript.pyannote[1395].speaker SPEAKER_05
transcript.pyannote[1395].start 12748.80659375
transcript.pyannote[1395].end 12789.27284375
transcript.pyannote[1396].speaker SPEAKER_16
transcript.pyannote[1396].start 12750.07221875
transcript.pyannote[1396].end 12751.05096875
transcript.pyannote[1397].speaker SPEAKER_05
transcript.pyannote[1397].start 12789.37409375
transcript.pyannote[1397].end 12803.73471875
transcript.pyannote[1398].speaker SPEAKER_05
transcript.pyannote[1398].start 12803.85284375
transcript.pyannote[1398].end 12807.95346875
transcript.pyannote[1399].speaker SPEAKER_08
transcript.pyannote[1399].start 12807.95346875
transcript.pyannote[1399].end 12807.98721875
transcript.pyannote[1400].speaker SPEAKER_08
transcript.pyannote[1400].start 12808.32471875
transcript.pyannote[1400].end 12808.69596875
transcript.pyannote[1401].speaker SPEAKER_08
transcript.pyannote[1401].start 12809.08409375
transcript.pyannote[1401].end 12809.77596875
transcript.pyannote[1402].speaker SPEAKER_08
transcript.pyannote[1402].start 12810.40034375
transcript.pyannote[1402].end 12816.39096875
transcript.pyannote[1403].speaker SPEAKER_16
transcript.pyannote[1403].start 12816.54284375
transcript.pyannote[1403].end 12816.55971875
transcript.pyannote[1404].speaker SPEAKER_08
transcript.pyannote[1404].start 12816.55971875
transcript.pyannote[1404].end 12816.57659375
transcript.pyannote[1405].speaker SPEAKER_16
transcript.pyannote[1405].start 12816.57659375
transcript.pyannote[1405].end 12816.66096875
transcript.pyannote[1406].speaker SPEAKER_08
transcript.pyannote[1406].start 12816.66096875
transcript.pyannote[1406].end 12818.23034375
transcript.pyannote[1407].speaker SPEAKER_08
transcript.pyannote[1407].start 12818.75346875
transcript.pyannote[1407].end 12822.51659375
transcript.pyannote[1408].speaker SPEAKER_21
transcript.pyannote[1408].start 12822.51659375
transcript.pyannote[1408].end 12822.53346875
transcript.pyannote[1409].speaker SPEAKER_21
transcript.pyannote[1409].start 12823.96784375
transcript.pyannote[1409].end 12899.06159375
transcript.pyannote[1410].speaker SPEAKER_21
transcript.pyannote[1410].start 12899.36534375
transcript.pyannote[1410].end 12903.66846875
transcript.pyannote[1411].speaker SPEAKER_08
transcript.pyannote[1411].start 12903.66846875
transcript.pyannote[1411].end 12903.88784375
transcript.pyannote[1412].speaker SPEAKER_21
transcript.pyannote[1412].start 12903.88784375
transcript.pyannote[1412].end 12984.24659375
transcript.pyannote[1413].speaker SPEAKER_16
transcript.pyannote[1413].start 12984.24659375
transcript.pyannote[1413].end 12984.53346875
transcript.pyannote[1414].speaker SPEAKER_21
transcript.pyannote[1414].start 12984.53346875
transcript.pyannote[1414].end 12994.03409375
transcript.pyannote[1415].speaker SPEAKER_21
transcript.pyannote[1415].start 12994.52346875
transcript.pyannote[1415].end 12995.06346875
transcript.pyannote[1416].speaker SPEAKER_21
transcript.pyannote[1416].start 12995.23221875
transcript.pyannote[1416].end 13105.88159375
transcript.pyannote[1417].speaker SPEAKER_21
transcript.pyannote[1417].start 13106.15159375
transcript.pyannote[1417].end 13106.38784375
transcript.pyannote[1418].speaker SPEAKER_21
transcript.pyannote[1418].start 13106.96159375
transcript.pyannote[1418].end 13116.76596875
transcript.pyannote[1419].speaker SPEAKER_21
transcript.pyannote[1419].start 13117.10346875
transcript.pyannote[1419].end 13150.92096875
transcript.pyannote[1420].speaker SPEAKER_08
transcript.pyannote[1420].start 13152.18659375
transcript.pyannote[1420].end 13154.73471875
transcript.pyannote[1421].speaker SPEAKER_21
transcript.pyannote[1421].start 13153.08096875
transcript.pyannote[1421].end 13153.67159375
transcript.pyannote[1422].speaker SPEAKER_05
transcript.pyannote[1422].start 13157.78909375
transcript.pyannote[1422].end 13174.81596875
transcript.pyannote[1423].speaker SPEAKER_05
transcript.pyannote[1423].start 13175.13659375
transcript.pyannote[1423].end 13211.58659375
transcript.pyannote[1424].speaker SPEAKER_05
transcript.pyannote[1424].start 13211.95784375
transcript.pyannote[1424].end 13234.65471875
transcript.pyannote[1425].speaker SPEAKER_05
transcript.pyannote[1425].start 13234.97534375
transcript.pyannote[1425].end 13242.60284375
transcript.pyannote[1426].speaker SPEAKER_05
transcript.pyannote[1426].start 13242.77159375
transcript.pyannote[1426].end 13265.56971875
transcript.pyannote[1427].speaker SPEAKER_05
transcript.pyannote[1427].start 13266.19409375
transcript.pyannote[1427].end 13266.58221875
transcript.pyannote[1428].speaker SPEAKER_05
transcript.pyannote[1428].start 13266.90284375
transcript.pyannote[1428].end 13269.77159375
transcript.pyannote[1429].speaker SPEAKER_05
transcript.pyannote[1429].start 13270.00784375
transcript.pyannote[1429].end 13273.82159375
transcript.pyannote[1430].speaker SPEAKER_08
transcript.pyannote[1430].start 13274.19284375
transcript.pyannote[1430].end 13277.02784375
transcript.pyannote[1431].speaker SPEAKER_10
transcript.pyannote[1431].start 13277.02784375
transcript.pyannote[1431].end 13285.19534375
transcript.pyannote[1432].speaker SPEAKER_10
transcript.pyannote[1432].start 13285.63409375
transcript.pyannote[1432].end 13294.79721875
transcript.pyannote[1433].speaker SPEAKER_10
transcript.pyannote[1433].start 13294.94909375
transcript.pyannote[1433].end 13305.10784375
transcript.pyannote[1434].speaker SPEAKER_10
transcript.pyannote[1434].start 13305.66471875
transcript.pyannote[1434].end 13308.04409375
transcript.pyannote[1435].speaker SPEAKER_10
transcript.pyannote[1435].start 13308.73596875
transcript.pyannote[1435].end 13309.47846875
transcript.pyannote[1436].speaker SPEAKER_10
transcript.pyannote[1436].start 13309.54596875
transcript.pyannote[1436].end 13309.83284375
transcript.pyannote[1437].speaker SPEAKER_10
transcript.pyannote[1437].start 13310.15346875
transcript.pyannote[1437].end 13311.70596875
transcript.pyannote[1438].speaker SPEAKER_10
transcript.pyannote[1438].start 13312.07721875
transcript.pyannote[1438].end 13319.70471875
transcript.pyannote[1439].speaker SPEAKER_10
transcript.pyannote[1439].start 13320.43034375
transcript.pyannote[1439].end 13328.66534375
transcript.pyannote[1440].speaker SPEAKER_10
transcript.pyannote[1440].start 13328.73284375
transcript.pyannote[1440].end 13340.42721875
transcript.pyannote[1441].speaker SPEAKER_10
transcript.pyannote[1441].start 13340.98409375
transcript.pyannote[1441].end 13350.01221875
transcript.pyannote[1442].speaker SPEAKER_10
transcript.pyannote[1442].start 13350.70409375
transcript.pyannote[1442].end 13374.81846875
transcript.pyannote[1443].speaker SPEAKER_10
transcript.pyannote[1443].start 13375.57784375
transcript.pyannote[1443].end 13379.07096875
transcript.pyannote[1444].speaker SPEAKER_10
transcript.pyannote[1444].start 13379.76284375
transcript.pyannote[1444].end 13389.98909375
transcript.pyannote[1445].speaker SPEAKER_10
transcript.pyannote[1445].start 13390.88346875
transcript.pyannote[1445].end 13414.06971875
transcript.pyannote[1446].speaker SPEAKER_10
transcript.pyannote[1446].start 13414.45784375
transcript.pyannote[1446].end 13417.61346875
transcript.pyannote[1447].speaker SPEAKER_10
transcript.pyannote[1447].start 13417.96784375
transcript.pyannote[1447].end 13428.98721875
transcript.pyannote[1448].speaker SPEAKER_08
transcript.pyannote[1448].start 13427.53596875
transcript.pyannote[1448].end 13428.91971875
transcript.pyannote[1449].speaker SPEAKER_08
transcript.pyannote[1449].start 13428.98721875
transcript.pyannote[1449].end 13429.07159375
transcript.pyannote[1450].speaker SPEAKER_10
transcript.pyannote[1450].start 13429.07159375
transcript.pyannote[1450].end 13429.42596875
transcript.pyannote[1451].speaker SPEAKER_08
transcript.pyannote[1451].start 13429.42596875
transcript.pyannote[1451].end 13429.47659375
transcript.pyannote[1452].speaker SPEAKER_10
transcript.pyannote[1452].start 13429.47659375
transcript.pyannote[1452].end 13429.86471875
transcript.pyannote[1453].speaker SPEAKER_08
transcript.pyannote[1453].start 13429.86471875
transcript.pyannote[1453].end 13429.93221875
transcript.pyannote[1454].speaker SPEAKER_21
transcript.pyannote[1454].start 13433.30721875
transcript.pyannote[1454].end 13556.86596875
transcript.pyannote[1455].speaker SPEAKER_08
transcript.pyannote[1455].start 13558.40159375
transcript.pyannote[1455].end 13561.48971875
transcript.pyannote[1456].speaker SPEAKER_08
transcript.pyannote[1456].start 13562.13096875
transcript.pyannote[1456].end 13564.30784375
transcript.pyannote[1457].speaker SPEAKER_08
transcript.pyannote[1457].start 13564.93221875
transcript.pyannote[1457].end 13567.41284375
transcript.pyannote[1458].speaker SPEAKER_08
transcript.pyannote[1458].start 13568.17221875
transcript.pyannote[1458].end 13574.04471875
transcript.pyannote[1459].speaker SPEAKER_08
transcript.pyannote[1459].start 13574.36534375
transcript.pyannote[1459].end 13575.58034375
transcript.pyannote[1460].speaker SPEAKER_08
transcript.pyannote[1460].start 13576.00221875
transcript.pyannote[1460].end 13578.28034375
transcript.pyannote[1461].speaker SPEAKER_05
transcript.pyannote[1461].start 13579.39409375
transcript.pyannote[1461].end 13579.41096875
transcript.pyannote[1462].speaker SPEAKER_08
transcript.pyannote[1462].start 13579.41096875
transcript.pyannote[1462].end 13580.74409375
transcript.pyannote[1463].speaker SPEAKER_17
transcript.pyannote[1463].start 13580.05221875
transcript.pyannote[1463].end 13588.77659375
transcript.pyannote[1464].speaker SPEAKER_17
transcript.pyannote[1464].start 13588.79346875
transcript.pyannote[1464].end 13590.39659375
transcript.pyannote[1465].speaker SPEAKER_17
transcript.pyannote[1465].start 13592.47221875
transcript.pyannote[1465].end 13602.69846875
transcript.pyannote[1466].speaker SPEAKER_17
transcript.pyannote[1466].start 13603.33971875
transcript.pyannote[1466].end 13609.17846875
transcript.pyannote[1467].speaker SPEAKER_16
transcript.pyannote[1467].start 13604.03159375
transcript.pyannote[1467].end 13604.53784375
transcript.pyannote[1468].speaker SPEAKER_21
transcript.pyannote[1468].start 13604.53784375
transcript.pyannote[1468].end 13604.58846875
transcript.pyannote[1469].speaker SPEAKER_17
transcript.pyannote[1469].start 13609.78596875
transcript.pyannote[1469].end 13610.10659375
transcript.pyannote[1470].speaker SPEAKER_08
transcript.pyannote[1470].start 13610.10659375
transcript.pyannote[1470].end 13610.25846875
transcript.pyannote[1471].speaker SPEAKER_08
transcript.pyannote[1471].start 13610.46096875
transcript.pyannote[1471].end 13611.03471875
transcript.pyannote[1472].speaker SPEAKER_10
transcript.pyannote[1472].start 13611.03471875
transcript.pyannote[1472].end 13611.05159375
transcript.pyannote[1473].speaker SPEAKER_08
transcript.pyannote[1473].start 13611.05159375
transcript.pyannote[1473].end 13611.10221875
transcript.pyannote[1474].speaker SPEAKER_10
transcript.pyannote[1474].start 13611.10221875
transcript.pyannote[1474].end 13630.55909375
transcript.pyannote[1475].speaker SPEAKER_10
transcript.pyannote[1475].start 13631.33534375
transcript.pyannote[1475].end 13633.83284375
transcript.pyannote[1476].speaker SPEAKER_10
transcript.pyannote[1476].start 13634.13659375
transcript.pyannote[1476].end 13637.32596875
transcript.pyannote[1477].speaker SPEAKER_21
transcript.pyannote[1477].start 13637.66346875
transcript.pyannote[1477].end 13640.11034375
transcript.pyannote[1478].speaker SPEAKER_08
transcript.pyannote[1478].start 13639.51971875
transcript.pyannote[1478].end 13641.40971875
transcript.pyannote[1479].speaker SPEAKER_10
transcript.pyannote[1479].start 13640.11034375
transcript.pyannote[1479].end 13640.12721875
transcript.pyannote[1480].speaker SPEAKER_08
transcript.pyannote[1480].start 13642.27034375
transcript.pyannote[1480].end 13645.25721875
transcript.pyannote[1481].speaker SPEAKER_08
transcript.pyannote[1481].start 13645.81409375
transcript.pyannote[1481].end 13647.46784375
transcript.pyannote[1482].speaker SPEAKER_08
transcript.pyannote[1482].start 13647.67034375
transcript.pyannote[1482].end 13648.86846875
transcript.pyannote[1483].speaker SPEAKER_08
transcript.pyannote[1483].start 13650.06659375
transcript.pyannote[1483].end 13651.19721875
transcript.pyannote[1484].speaker SPEAKER_08
transcript.pyannote[1484].start 13651.90596875
transcript.pyannote[1484].end 13652.58096875
transcript.pyannote[1485].speaker SPEAKER_08
transcript.pyannote[1485].start 13654.09971875
transcript.pyannote[1485].end 13659.53346875
transcript.pyannote[1486].speaker SPEAKER_06
transcript.pyannote[1486].start 13657.12034375
transcript.pyannote[1486].end 13657.96409375
transcript.pyannote[1487].speaker SPEAKER_00
transcript.pyannote[1487].start 13657.96409375
transcript.pyannote[1487].end 13658.06534375
transcript.pyannote[1488].speaker SPEAKER_08
transcript.pyannote[1488].start 13660.10721875
transcript.pyannote[1488].end 13665.70971875
transcript.pyannote[1489].speaker SPEAKER_08
transcript.pyannote[1489].start 13666.16534375
transcript.pyannote[1489].end 13666.78971875
transcript.pyannote[1490].speaker SPEAKER_08
transcript.pyannote[1490].start 13666.95846875
transcript.pyannote[1490].end 13669.77659375
transcript.pyannote[1491].speaker SPEAKER_21
transcript.pyannote[1491].start 13668.32534375
transcript.pyannote[1491].end 13700.28659375
transcript.pyannote[1492].speaker SPEAKER_21
transcript.pyannote[1492].start 13701.04596875
transcript.pyannote[1492].end 13725.44721875
transcript.pyannote[1493].speaker SPEAKER_16
transcript.pyannote[1493].start 13725.44721875
transcript.pyannote[1493].end 13726.83096875
transcript.pyannote[1494].speaker SPEAKER_21
transcript.pyannote[1494].start 13725.90284375
transcript.pyannote[1494].end 13730.57721875
transcript.pyannote[1495].speaker SPEAKER_08
transcript.pyannote[1495].start 13730.57721875
transcript.pyannote[1495].end 13730.72909375
transcript.pyannote[1496].speaker SPEAKER_10
transcript.pyannote[1496].start 13730.72909375
transcript.pyannote[1496].end 13731.23534375
transcript.pyannote[1497].speaker SPEAKER_08
transcript.pyannote[1497].start 13731.23534375
transcript.pyannote[1497].end 13732.51784375
transcript.pyannote[1498].speaker SPEAKER_10
transcript.pyannote[1498].start 13731.77534375
transcript.pyannote[1498].end 13731.79221875
transcript.pyannote[1499].speaker SPEAKER_21
transcript.pyannote[1499].start 13731.79221875
transcript.pyannote[1499].end 13732.02846875
transcript.pyannote[1500].speaker SPEAKER_10
transcript.pyannote[1500].start 13732.02846875
transcript.pyannote[1500].end 13734.64409375
transcript.pyannote[1501].speaker SPEAKER_08
transcript.pyannote[1501].start 13734.89721875
transcript.pyannote[1501].end 13738.60971875
transcript.pyannote[1502].speaker SPEAKER_10
transcript.pyannote[1502].start 13738.60971875
transcript.pyannote[1502].end 13739.84159375
transcript.pyannote[1503].speaker SPEAKER_08
transcript.pyannote[1503].start 13739.84159375
transcript.pyannote[1503].end 13740.44909375
transcript.pyannote[1504].speaker SPEAKER_10
transcript.pyannote[1504].start 13740.24659375
transcript.pyannote[1504].end 13740.53346875
transcript.pyannote[1505].speaker SPEAKER_08
transcript.pyannote[1505].start 13740.53346875
transcript.pyannote[1505].end 13740.75284375
transcript.pyannote[1506].speaker SPEAKER_10
transcript.pyannote[1506].start 13740.75284375
transcript.pyannote[1506].end 13740.78659375
transcript.pyannote[1507].speaker SPEAKER_08
transcript.pyannote[1507].start 13740.78659375
transcript.pyannote[1507].end 13740.83721875
transcript.pyannote[1508].speaker SPEAKER_10
transcript.pyannote[1508].start 13740.83721875
transcript.pyannote[1508].end 13744.09409375
transcript.pyannote[1509].speaker SPEAKER_05
transcript.pyannote[1509].start 13744.14471875
transcript.pyannote[1509].end 13744.70159375
transcript.pyannote[1510].speaker SPEAKER_05
transcript.pyannote[1510].start 13745.14034375
transcript.pyannote[1510].end 13746.03471875
transcript.pyannote[1511].speaker SPEAKER_05
transcript.pyannote[1511].start 13747.45221875
transcript.pyannote[1511].end 13760.27721875
transcript.pyannote[1512].speaker SPEAKER_05
transcript.pyannote[1512].start 13760.53034375
transcript.pyannote[1512].end 13794.55034375
transcript.pyannote[1513].speaker SPEAKER_05
transcript.pyannote[1513].start 13795.64721875
transcript.pyannote[1513].end 13799.34284375
transcript.pyannote[1514].speaker SPEAKER_05
transcript.pyannote[1514].start 13799.44409375
transcript.pyannote[1514].end 13801.75596875
transcript.pyannote[1515].speaker SPEAKER_08
transcript.pyannote[1515].start 13801.75596875
transcript.pyannote[1515].end 13801.80659375
transcript.pyannote[1516].speaker SPEAKER_08
transcript.pyannote[1516].start 13802.90346875
transcript.pyannote[1516].end 13807.59471875
transcript.pyannote[1517].speaker SPEAKER_08
transcript.pyannote[1517].start 13811.37471875
transcript.pyannote[1517].end 13811.79659375
transcript.pyannote[1518].speaker SPEAKER_08
transcript.pyannote[1518].start 13811.96534375
transcript.pyannote[1518].end 13812.03284375
transcript.pyannote[1519].speaker SPEAKER_08
transcript.pyannote[1519].start 13812.13409375
transcript.pyannote[1519].end 13815.18846875
transcript.pyannote[1520].speaker SPEAKER_08
transcript.pyannote[1520].start 13815.47534375
transcript.pyannote[1520].end 13819.82909375
transcript.pyannote[1521].speaker SPEAKER_08
transcript.pyannote[1521].start 13820.33534375
transcript.pyannote[1521].end 13832.06346875
transcript.pyannote[1522].speaker SPEAKER_08
transcript.pyannote[1522].start 13832.77221875
transcript.pyannote[1522].end 13833.51471875
transcript.pyannote[1523].speaker SPEAKER_10
transcript.pyannote[1523].start 13835.03346875
transcript.pyannote[1523].end 13837.05846875
transcript.pyannote[1524].speaker SPEAKER_10
transcript.pyannote[1524].start 13838.88096875
transcript.pyannote[1524].end 13847.11596875
transcript.pyannote[1525].speaker SPEAKER_06
transcript.pyannote[1525].start 13842.44159375
transcript.pyannote[1525].end 13842.96471875
transcript.pyannote[1526].speaker SPEAKER_10
transcript.pyannote[1526].start 13848.56721875
transcript.pyannote[1526].end 13859.35034375
transcript.pyannote[1527].speaker SPEAKER_08
transcript.pyannote[1527].start 13851.08159375
transcript.pyannote[1527].end 13852.00971875
transcript.pyannote[1528].speaker SPEAKER_08
transcript.pyannote[1528].start 13859.35034375
transcript.pyannote[1528].end 13862.87721875
transcript.pyannote[1529].speaker SPEAKER_08
transcript.pyannote[1529].start 13863.88971875
transcript.pyannote[1529].end 13864.02471875
transcript.pyannote[1530].speaker SPEAKER_10
transcript.pyannote[1530].start 13864.02471875
transcript.pyannote[1530].end 13870.38659375
transcript.pyannote[1531].speaker SPEAKER_08
transcript.pyannote[1531].start 13864.07534375
transcript.pyannote[1531].end 13864.53096875
transcript.pyannote[1532].speaker SPEAKER_10
transcript.pyannote[1532].start 13871.04471875
transcript.pyannote[1532].end 13879.06034375
transcript.pyannote[1533].speaker SPEAKER_10
transcript.pyannote[1533].start 13880.19096875
transcript.pyannote[1533].end 13882.26659375
transcript.pyannote[1534].speaker SPEAKER_10
transcript.pyannote[1534].start 13885.92846875
transcript.pyannote[1534].end 13888.56096875
transcript.pyannote[1535].speaker SPEAKER_10
transcript.pyannote[1535].start 13888.93221875
transcript.pyannote[1535].end 13891.24409375
transcript.pyannote[1536].speaker SPEAKER_10
transcript.pyannote[1536].start 13891.90221875
transcript.pyannote[1536].end 13892.35784375
transcript.pyannote[1537].speaker SPEAKER_10
transcript.pyannote[1537].start 13892.57721875
transcript.pyannote[1537].end 13897.03221875
transcript.pyannote[1538].speaker SPEAKER_10
transcript.pyannote[1538].start 13897.26846875
transcript.pyannote[1538].end 13898.48346875
transcript.pyannote[1539].speaker SPEAKER_10
transcript.pyannote[1539].start 13898.65221875
transcript.pyannote[1539].end 13899.10784375
transcript.pyannote[1540].speaker SPEAKER_10
transcript.pyannote[1540].start 13902.17909375
transcript.pyannote[1540].end 13908.86159375
transcript.pyannote[1541].speaker SPEAKER_10
transcript.pyannote[1541].start 13909.33409375
transcript.pyannote[1541].end 13915.07159375
transcript.pyannote[1542].speaker SPEAKER_10
transcript.pyannote[1542].start 13915.47659375
transcript.pyannote[1542].end 13917.67034375
transcript.pyannote[1543].speaker SPEAKER_10
transcript.pyannote[1543].start 13918.14284375
transcript.pyannote[1543].end 13919.86409375
transcript.pyannote[1544].speaker SPEAKER_10
transcript.pyannote[1544].start 13921.24784375
transcript.pyannote[1544].end 13926.44534375
transcript.pyannote[1545].speaker SPEAKER_10
transcript.pyannote[1545].start 13926.95159375
transcript.pyannote[1545].end 13933.09409375
transcript.pyannote[1546].speaker SPEAKER_10
transcript.pyannote[1546].start 13933.98846875
transcript.pyannote[1546].end 13934.73096875
transcript.pyannote[1547].speaker SPEAKER_10
transcript.pyannote[1547].start 13935.13596875
transcript.pyannote[1547].end 13937.29596875
transcript.pyannote[1548].speaker SPEAKER_10
transcript.pyannote[1548].start 13938.13971875
transcript.pyannote[1548].end 13939.87784375
transcript.pyannote[1549].speaker SPEAKER_10
transcript.pyannote[1549].start 13940.70471875
transcript.pyannote[1549].end 13946.23971875
transcript.pyannote[1550].speaker SPEAKER_10
transcript.pyannote[1550].start 13947.37034375
transcript.pyannote[1550].end 13948.90596875
transcript.pyannote[1551].speaker SPEAKER_10
transcript.pyannote[1551].start 13950.12096875
transcript.pyannote[1551].end 13955.74034375
transcript.pyannote[1552].speaker SPEAKER_10
transcript.pyannote[1552].start 13957.36034375
transcript.pyannote[1552].end 13963.43534375
transcript.pyannote[1553].speaker SPEAKER_10
transcript.pyannote[1553].start 13964.31284375
transcript.pyannote[1553].end 13966.52346875
transcript.pyannote[1554].speaker SPEAKER_10
transcript.pyannote[1554].start 13966.64159375
transcript.pyannote[1554].end 13969.79721875
transcript.pyannote[1555].speaker SPEAKER_10
transcript.pyannote[1555].start 13970.48909375
transcript.pyannote[1555].end 13972.66596875
transcript.pyannote[1556].speaker SPEAKER_10
transcript.pyannote[1556].start 13973.45909375
transcript.pyannote[1556].end 13973.86409375
transcript.pyannote[1557].speaker SPEAKER_10
transcript.pyannote[1557].start 13973.96534375
transcript.pyannote[1557].end 13978.55534375
transcript.pyannote[1558].speaker SPEAKER_10
transcript.pyannote[1558].start 13978.97721875
transcript.pyannote[1558].end 13979.85471875
transcript.pyannote[1559].speaker SPEAKER_10
transcript.pyannote[1559].start 13980.31034375
transcript.pyannote[1559].end 13981.99784375
transcript.pyannote[1560].speaker SPEAKER_10
transcript.pyannote[1560].start 13983.19596875
transcript.pyannote[1560].end 13990.33409375
transcript.pyannote[1561].speaker SPEAKER_10
transcript.pyannote[1561].start 13990.72221875
transcript.pyannote[1561].end 13994.60346875
transcript.pyannote[1562].speaker SPEAKER_10
transcript.pyannote[1562].start 13995.26159375
transcript.pyannote[1562].end 13997.62409375
transcript.pyannote[1563].speaker SPEAKER_10
transcript.pyannote[1563].start 13998.36659375
transcript.pyannote[1563].end 14002.65284375
transcript.pyannote[1564].speaker SPEAKER_10
transcript.pyannote[1564].start 14003.29409375
transcript.pyannote[1564].end 14004.64409375
transcript.pyannote[1565].speaker SPEAKER_10
transcript.pyannote[1565].start 14005.79159375
transcript.pyannote[1565].end 14007.12471875
transcript.pyannote[1566].speaker SPEAKER_10
transcript.pyannote[1566].start 14008.49159375
transcript.pyannote[1566].end 14010.56721875
transcript.pyannote[1567].speaker SPEAKER_10
transcript.pyannote[1567].start 14010.70221875
transcript.pyannote[1567].end 14011.74846875
transcript.pyannote[1568].speaker SPEAKER_10
transcript.pyannote[1568].start 14012.06909375
transcript.pyannote[1568].end 14012.98034375
transcript.pyannote[1569].speaker SPEAKER_10
transcript.pyannote[1569].start 14014.66784375
transcript.pyannote[1569].end 14018.53221875
transcript.pyannote[1570].speaker SPEAKER_10
transcript.pyannote[1570].start 14018.97096875
transcript.pyannote[1570].end 14026.54784375
transcript.pyannote[1571].speaker SPEAKER_10
transcript.pyannote[1571].start 14027.18909375
transcript.pyannote[1571].end 14029.50096875
transcript.pyannote[1572].speaker SPEAKER_10
transcript.pyannote[1572].start 14031.01971875
transcript.pyannote[1572].end 14032.26846875
transcript.pyannote[1573].speaker SPEAKER_10
transcript.pyannote[1573].start 14032.84221875
transcript.pyannote[1573].end 14042.79846875
transcript.pyannote[1574].speaker SPEAKER_10
transcript.pyannote[1574].start 14043.23721875
transcript.pyannote[1574].end 14044.41846875
transcript.pyannote[1575].speaker SPEAKER_10
transcript.pyannote[1575].start 14045.16096875
transcript.pyannote[1575].end 14045.80221875
transcript.pyannote[1576].speaker SPEAKER_10
transcript.pyannote[1576].start 14045.93721875
transcript.pyannote[1576].end 14046.52784375
transcript.pyannote[1577].speaker SPEAKER_10
transcript.pyannote[1577].start 14047.06784375
transcript.pyannote[1577].end 14051.06721875
transcript.pyannote[1578].speaker SPEAKER_10
transcript.pyannote[1578].start 14052.28221875
transcript.pyannote[1578].end 14055.62346875
transcript.pyannote[1579].speaker SPEAKER_10
transcript.pyannote[1579].start 14056.14659375
transcript.pyannote[1579].end 14056.82159375
transcript.pyannote[1580].speaker SPEAKER_10
transcript.pyannote[1580].start 14058.17159375
transcript.pyannote[1580].end 14060.56784375
transcript.pyannote[1581].speaker SPEAKER_10
transcript.pyannote[1581].start 14061.51284375
transcript.pyannote[1581].end 14064.22971875
transcript.pyannote[1582].speaker SPEAKER_10
transcript.pyannote[1582].start 14064.41534375
transcript.pyannote[1582].end 14064.93846875
transcript.pyannote[1583].speaker SPEAKER_10
transcript.pyannote[1583].start 14065.07346875
transcript.pyannote[1583].end 14066.62596875
transcript.pyannote[1584].speaker SPEAKER_10
transcript.pyannote[1584].start 14066.99721875
transcript.pyannote[1584].end 14069.84909375
transcript.pyannote[1585].speaker SPEAKER_16
transcript.pyannote[1585].start 14071.60409375
transcript.pyannote[1585].end 14071.85721875
transcript.pyannote[1586].speaker SPEAKER_10
transcript.pyannote[1586].start 14073.08909375
transcript.pyannote[1586].end 14074.47284375
transcript.pyannote[1587].speaker SPEAKER_10
transcript.pyannote[1587].start 14074.96221875
transcript.pyannote[1587].end 14081.66159375
transcript.pyannote[1588].speaker SPEAKER_10
transcript.pyannote[1588].start 14082.30284375
transcript.pyannote[1588].end 14087.38221875
transcript.pyannote[1589].speaker SPEAKER_10
transcript.pyannote[1589].start 14087.77034375
transcript.pyannote[1589].end 14089.25534375
transcript.pyannote[1590].speaker SPEAKER_10
transcript.pyannote[1590].start 14089.84596875
transcript.pyannote[1590].end 14093.59221875
transcript.pyannote[1591].speaker SPEAKER_10
transcript.pyannote[1591].start 14093.86221875
transcript.pyannote[1591].end 14094.52034375
transcript.pyannote[1592].speaker SPEAKER_10
transcript.pyannote[1592].start 14095.48221875
transcript.pyannote[1592].end 14096.07284375
transcript.pyannote[1593].speaker SPEAKER_10
transcript.pyannote[1593].start 14096.95034375
transcript.pyannote[1593].end 14098.11471875
transcript.pyannote[1594].speaker SPEAKER_10
transcript.pyannote[1594].start 14098.99221875
transcript.pyannote[1594].end 14099.29596875
transcript.pyannote[1595].speaker SPEAKER_10
transcript.pyannote[1595].start 14099.44784375
transcript.pyannote[1595].end 14101.94534375
transcript.pyannote[1596].speaker SPEAKER_10
transcript.pyannote[1596].start 14102.55284375
transcript.pyannote[1596].end 14102.94096875
transcript.pyannote[1597].speaker SPEAKER_10
transcript.pyannote[1597].start 14103.10971875
transcript.pyannote[1597].end 14104.20659375
transcript.pyannote[1598].speaker SPEAKER_10
transcript.pyannote[1598].start 14104.84784375
transcript.pyannote[1598].end 14107.90221875
transcript.pyannote[1599].speaker SPEAKER_10
transcript.pyannote[1599].start 14108.96534375
transcript.pyannote[1599].end 14109.74159375
transcript.pyannote[1600].speaker SPEAKER_10
transcript.pyannote[1600].start 14111.00721875
transcript.pyannote[1600].end 14113.36971875
transcript.pyannote[1601].speaker SPEAKER_10
transcript.pyannote[1601].start 14115.14159375
transcript.pyannote[1601].end 14116.18784375
transcript.pyannote[1602].speaker SPEAKER_10
transcript.pyannote[1602].start 14118.43221875
transcript.pyannote[1602].end 14119.44471875
transcript.pyannote[1603].speaker SPEAKER_10
transcript.pyannote[1603].start 14119.88346875
transcript.pyannote[1603].end 14123.34284375
transcript.pyannote[1604].speaker SPEAKER_10
transcript.pyannote[1604].start 14124.35534375
transcript.pyannote[1604].end 14125.70534375
transcript.pyannote[1605].speaker SPEAKER_10
transcript.pyannote[1605].start 14126.61659375
transcript.pyannote[1605].end 14129.14784375
transcript.pyannote[1606].speaker SPEAKER_10
transcript.pyannote[1606].start 14129.41784375
transcript.pyannote[1606].end 14130.83534375
transcript.pyannote[1607].speaker SPEAKER_10
transcript.pyannote[1607].start 14131.56096875
transcript.pyannote[1607].end 14132.97846875
transcript.pyannote[1608].speaker SPEAKER_08
transcript.pyannote[1608].start 14132.97846875
transcript.pyannote[1608].end 14133.04596875
transcript.pyannote[1609].speaker SPEAKER_08
transcript.pyannote[1609].start 14133.19784375
transcript.pyannote[1609].end 14138.02409375
transcript.pyannote[1610].speaker SPEAKER_10
transcript.pyannote[1610].start 14138.02409375
transcript.pyannote[1610].end 14146.20846875
transcript.pyannote[1611].speaker SPEAKER_08
transcript.pyannote[1611].start 14146.20846875
transcript.pyannote[1611].end 14146.22534375
transcript.pyannote[1612].speaker SPEAKER_08
transcript.pyannote[1612].start 14146.86659375
transcript.pyannote[1612].end 14155.03409375
transcript.pyannote[1613].speaker SPEAKER_09
transcript.pyannote[1613].start 14155.03409375
transcript.pyannote[1613].end 14161.56471875
transcript.pyannote[1614].speaker SPEAKER_09
transcript.pyannote[1614].start 14162.02034375
transcript.pyannote[1614].end 14166.61034375
transcript.pyannote[1615].speaker SPEAKER_09
transcript.pyannote[1615].start 14166.93096875
transcript.pyannote[1615].end 14169.36096875
transcript.pyannote[1616].speaker SPEAKER_09
transcript.pyannote[1616].start 14169.46221875
transcript.pyannote[1616].end 14172.14534375
transcript.pyannote[1617].speaker SPEAKER_09
transcript.pyannote[1617].start 14172.73596875
transcript.pyannote[1617].end 14176.11096875
transcript.pyannote[1618].speaker SPEAKER_09
transcript.pyannote[1618].start 14176.49909375
transcript.pyannote[1618].end 14198.38596875
transcript.pyannote[1619].speaker SPEAKER_09
transcript.pyannote[1619].start 14198.65596875
transcript.pyannote[1619].end 14204.03909375
transcript.pyannote[1620].speaker SPEAKER_09
transcript.pyannote[1620].start 14204.61284375
transcript.pyannote[1620].end 14211.88596875
transcript.pyannote[1621].speaker SPEAKER_09
transcript.pyannote[1621].start 14212.39221875
transcript.pyannote[1621].end 14217.15096875
transcript.pyannote[1622].speaker SPEAKER_09
transcript.pyannote[1622].start 14217.75846875
transcript.pyannote[1622].end 14265.80159375
transcript.pyannote[1623].speaker SPEAKER_09
transcript.pyannote[1623].start 14265.97034375
transcript.pyannote[1623].end 14266.03784375
transcript.pyannote[1624].speaker SPEAKER_09
transcript.pyannote[1624].start 14266.05471875
transcript.pyannote[1624].end 14267.55659375
transcript.pyannote[1625].speaker SPEAKER_09
transcript.pyannote[1625].start 14273.31096875
transcript.pyannote[1625].end 14273.76659375
transcript.pyannote[1626].speaker SPEAKER_09
transcript.pyannote[1626].start 14274.45846875
transcript.pyannote[1626].end 14282.23784375
transcript.pyannote[1627].speaker SPEAKER_09
transcript.pyannote[1627].start 14282.71034375
transcript.pyannote[1627].end 14283.03096875
transcript.pyannote[1628].speaker SPEAKER_09
transcript.pyannote[1628].start 14283.38534375
transcript.pyannote[1628].end 14290.54034375
transcript.pyannote[1629].speaker SPEAKER_09
transcript.pyannote[1629].start 14291.08034375
transcript.pyannote[1629].end 14297.30721875
transcript.pyannote[1630].speaker SPEAKER_09
transcript.pyannote[1630].start 14297.66159375
transcript.pyannote[1630].end 14318.94096875
transcript.pyannote[1631].speaker SPEAKER_09
transcript.pyannote[1631].start 14319.51471875
transcript.pyannote[1631].end 14332.42409375
transcript.pyannote[1632].speaker SPEAKER_09
transcript.pyannote[1632].start 14332.66034375
transcript.pyannote[1632].end 14344.99596875
transcript.pyannote[1633].speaker SPEAKER_09
transcript.pyannote[1633].start 14345.65409375
transcript.pyannote[1633].end 14360.26784375
transcript.pyannote[1634].speaker SPEAKER_09
transcript.pyannote[1634].start 14360.48721875
transcript.pyannote[1634].end 14370.91596875
transcript.pyannote[1635].speaker SPEAKER_09
transcript.pyannote[1635].start 14370.96659375
transcript.pyannote[1635].end 14374.64534375
transcript.pyannote[1636].speaker SPEAKER_09
transcript.pyannote[1636].start 14375.23596875
transcript.pyannote[1636].end 14384.66909375
transcript.pyannote[1637].speaker SPEAKER_09
transcript.pyannote[1637].start 14385.37784375
transcript.pyannote[1637].end 14390.15346875
transcript.pyannote[1638].speaker SPEAKER_09
transcript.pyannote[1638].start 14390.65971875
transcript.pyannote[1638].end 14392.56659375
transcript.pyannote[1639].speaker SPEAKER_09
transcript.pyannote[1639].start 14393.47784375
transcript.pyannote[1639].end 14402.59034375
transcript.pyannote[1640].speaker SPEAKER_09
transcript.pyannote[1640].start 14402.91096875
transcript.pyannote[1640].end 14433.96096875
transcript.pyannote[1641].speaker SPEAKER_08
transcript.pyannote[1641].start 14434.21409375
transcript.pyannote[1641].end 14437.43721875
transcript.pyannote[1642].speaker SPEAKER_21
transcript.pyannote[1642].start 14440.05284375
transcript.pyannote[1642].end 14489.37846875
transcript.pyannote[1643].speaker SPEAKER_21
transcript.pyannote[1643].start 14490.07034375
transcript.pyannote[1643].end 14492.70284375
transcript.pyannote[1644].speaker SPEAKER_21
transcript.pyannote[1644].start 14493.15846875
transcript.pyannote[1644].end 14560.94534375
transcript.pyannote[1645].speaker SPEAKER_21
transcript.pyannote[1645].start 14561.58659375
transcript.pyannote[1645].end 14563.54409375
transcript.pyannote[1646].speaker SPEAKER_21
transcript.pyannote[1646].start 14564.01659375
transcript.pyannote[1646].end 14598.45846875
transcript.pyannote[1647].speaker SPEAKER_21
transcript.pyannote[1647].start 14599.40346875
transcript.pyannote[1647].end 14599.48784375
transcript.pyannote[1648].speaker SPEAKER_08
transcript.pyannote[1648].start 14599.48784375
transcript.pyannote[1648].end 14599.72409375
transcript.pyannote[1649].speaker SPEAKER_21
transcript.pyannote[1649].start 14599.72409375
transcript.pyannote[1649].end 14599.97721875
transcript.pyannote[1650].speaker SPEAKER_08
transcript.pyannote[1650].start 14599.97721875
transcript.pyannote[1650].end 14600.26409375
transcript.pyannote[1651].speaker SPEAKER_21
transcript.pyannote[1651].start 14600.26409375
transcript.pyannote[1651].end 14600.28096875
transcript.pyannote[1652].speaker SPEAKER_21
transcript.pyannote[1652].start 14600.78721875
transcript.pyannote[1652].end 14600.82096875
transcript.pyannote[1653].speaker SPEAKER_08
transcript.pyannote[1653].start 14600.82096875
transcript.pyannote[1653].end 14601.59721875
transcript.pyannote[1654].speaker SPEAKER_08
transcript.pyannote[1654].start 14601.98534375
transcript.pyannote[1654].end 14603.16659375
transcript.pyannote[1655].speaker SPEAKER_08
transcript.pyannote[1655].start 14603.62221875
transcript.pyannote[1655].end 14604.39846875
transcript.pyannote[1656].speaker SPEAKER_08
transcript.pyannote[1656].start 14604.44909375
transcript.pyannote[1656].end 14606.10284375
transcript.pyannote[1657].speaker SPEAKER_08
transcript.pyannote[1657].start 14606.62596875
transcript.pyannote[1657].end 14607.33471875
transcript.pyannote[1658].speaker SPEAKER_08
transcript.pyannote[1658].start 14608.04346875
transcript.pyannote[1658].end 14608.58346875
transcript.pyannote[1659].speaker SPEAKER_08
transcript.pyannote[1659].start 14609.44409375
transcript.pyannote[1659].end 14612.63346875
transcript.pyannote[1660].speaker SPEAKER_10
transcript.pyannote[1660].start 14611.55346875
transcript.pyannote[1660].end 14618.87721875
transcript.pyannote[1661].speaker SPEAKER_10
transcript.pyannote[1661].start 14619.40034375
transcript.pyannote[1661].end 14624.31096875
transcript.pyannote[1662].speaker SPEAKER_10
transcript.pyannote[1662].start 14624.46284375
transcript.pyannote[1662].end 14627.34846875
transcript.pyannote[1663].speaker SPEAKER_10
transcript.pyannote[1663].start 14628.61409375
transcript.pyannote[1663].end 14629.77846875
transcript.pyannote[1664].speaker SPEAKER_10
transcript.pyannote[1664].start 14630.18346875
transcript.pyannote[1664].end 14634.41909375
transcript.pyannote[1665].speaker SPEAKER_10
transcript.pyannote[1665].start 14636.78159375
transcript.pyannote[1665].end 14644.52721875
transcript.pyannote[1666].speaker SPEAKER_10
transcript.pyannote[1666].start 14646.38346875
transcript.pyannote[1666].end 14650.56846875
transcript.pyannote[1667].speaker SPEAKER_10
transcript.pyannote[1667].start 14651.07471875
transcript.pyannote[1667].end 14652.76221875
transcript.pyannote[1668].speaker SPEAKER_10
transcript.pyannote[1668].start 14653.21784375
transcript.pyannote[1668].end 14658.01034375
transcript.pyannote[1669].speaker SPEAKER_08
transcript.pyannote[1669].start 14658.60096875
transcript.pyannote[1669].end 14658.90471875
transcript.pyannote[1670].speaker SPEAKER_10
transcript.pyannote[1670].start 14659.22534375
transcript.pyannote[1670].end 14660.96346875
transcript.pyannote[1671].speaker SPEAKER_08
transcript.pyannote[1671].start 14660.96346875
transcript.pyannote[1671].end 14662.85346875
transcript.pyannote[1672].speaker SPEAKER_08
transcript.pyannote[1672].start 14662.92096875
transcript.pyannote[1672].end 14664.28784375
transcript.pyannote[1673].speaker SPEAKER_08
transcript.pyannote[1673].start 14664.96284375
transcript.pyannote[1673].end 14668.38846875
transcript.pyannote[1674].speaker SPEAKER_08
transcript.pyannote[1674].start 14669.16471875
transcript.pyannote[1674].end 14671.86471875
transcript.pyannote[1675].speaker SPEAKER_06
transcript.pyannote[1675].start 14669.21534375
transcript.pyannote[1675].end 14669.23221875
transcript.pyannote[1676].speaker SPEAKER_16
transcript.pyannote[1676].start 14669.23221875
transcript.pyannote[1676].end 14669.26596875
transcript.pyannote[1677].speaker SPEAKER_06
transcript.pyannote[1677].start 14669.26596875
transcript.pyannote[1677].end 14669.45159375
transcript.pyannote[1678].speaker SPEAKER_08
transcript.pyannote[1678].start 14672.28659375
transcript.pyannote[1678].end 14678.17596875
transcript.pyannote[1679].speaker SPEAKER_08
transcript.pyannote[1679].start 14678.66534375
transcript.pyannote[1679].end 14681.95596875
transcript.pyannote[1680].speaker SPEAKER_08
transcript.pyannote[1680].start 14682.36096875
transcript.pyannote[1680].end 14687.32221875
transcript.pyannote[1681].speaker SPEAKER_08
transcript.pyannote[1681].start 14687.42346875
transcript.pyannote[1681].end 14689.00971875
transcript.pyannote[1682].speaker SPEAKER_08
transcript.pyannote[1682].start 14689.33034375
transcript.pyannote[1682].end 14691.22034375
transcript.pyannote[1683].speaker SPEAKER_17
transcript.pyannote[1683].start 14690.96721875
transcript.pyannote[1683].end 14697.07596875
transcript.pyannote[1684].speaker SPEAKER_17
transcript.pyannote[1684].start 14697.43034375
transcript.pyannote[1684].end 14698.18971875
transcript.pyannote[1685].speaker SPEAKER_08
transcript.pyannote[1685].start 14697.46409375
transcript.pyannote[1685].end 14698.02096875
transcript.pyannote[1686].speaker SPEAKER_17
transcript.pyannote[1686].start 14698.49346875
transcript.pyannote[1686].end 14698.52721875
transcript.pyannote[1687].speaker SPEAKER_08
transcript.pyannote[1687].start 14698.52721875
transcript.pyannote[1687].end 14700.77159375
transcript.pyannote[1688].speaker SPEAKER_17
transcript.pyannote[1688].start 14698.54409375
transcript.pyannote[1688].end 14699.20221875
transcript.pyannote[1689].speaker SPEAKER_08
transcript.pyannote[1689].start 14701.05846875
transcript.pyannote[1689].end 14704.46721875
transcript.pyannote[1690].speaker SPEAKER_08
transcript.pyannote[1690].start 14704.55159375
transcript.pyannote[1690].end 14707.33596875
transcript.pyannote[1691].speaker SPEAKER_08
transcript.pyannote[1691].start 14708.16284375
transcript.pyannote[1691].end 14709.83346875
transcript.pyannote[1692].speaker SPEAKER_08
transcript.pyannote[1692].start 14710.30596875
transcript.pyannote[1692].end 14712.39846875
transcript.pyannote[1693].speaker SPEAKER_08
transcript.pyannote[1693].start 14712.88784375
transcript.pyannote[1693].end 14714.27159375
transcript.pyannote[1694].speaker SPEAKER_08
transcript.pyannote[1694].start 14714.99721875
transcript.pyannote[1694].end 14716.02659375
transcript.pyannote[1695].speaker SPEAKER_08
transcript.pyannote[1695].start 14716.87034375
transcript.pyannote[1695].end 14717.34284375
transcript.pyannote[1696].speaker SPEAKER_08
transcript.pyannote[1696].start 14717.84909375
transcript.pyannote[1696].end 14718.40596875
transcript.pyannote[1697].speaker SPEAKER_21
transcript.pyannote[1697].start 14717.98409375
transcript.pyannote[1697].end 14719.13159375
transcript.pyannote[1698].speaker SPEAKER_08
transcript.pyannote[1698].start 14719.13159375
transcript.pyannote[1698].end 14719.18221875
transcript.pyannote[1699].speaker SPEAKER_21
transcript.pyannote[1699].start 14719.18221875
transcript.pyannote[1699].end 14720.17784375
transcript.pyannote[1700].speaker SPEAKER_08
transcript.pyannote[1700].start 14720.17784375
transcript.pyannote[1700].end 14722.20284375
transcript.pyannote[1701].speaker SPEAKER_21
transcript.pyannote[1701].start 14720.26221875
transcript.pyannote[1701].end 14720.80221875
transcript.pyannote[1702].speaker SPEAKER_08
transcript.pyannote[1702].start 14723.29971875
transcript.pyannote[1702].end 14726.10096875
transcript.pyannote[1703].speaker SPEAKER_08
transcript.pyannote[1703].start 14726.70846875
transcript.pyannote[1703].end 14729.32409375
transcript.pyannote[1704].speaker SPEAKER_08
transcript.pyannote[1704].start 14729.77971875
transcript.pyannote[1704].end 14731.18034375
transcript.pyannote[1705].speaker SPEAKER_08
transcript.pyannote[1705].start 14731.43346875
transcript.pyannote[1705].end 14732.88471875
transcript.pyannote[1706].speaker SPEAKER_08
transcript.pyannote[1706].start 14733.15471875
transcript.pyannote[1706].end 14739.90471875
transcript.pyannote[1707].speaker SPEAKER_08
transcript.pyannote[1707].start 14740.24221875
transcript.pyannote[1707].end 14740.76534375
transcript.pyannote[1708].speaker SPEAKER_08
transcript.pyannote[1708].start 14743.76909375
transcript.pyannote[1708].end 14744.39346875
transcript.pyannote[1709].speaker SPEAKER_06
transcript.pyannote[1709].start 14744.74784375
transcript.pyannote[1709].end 14744.76471875
transcript.pyannote[1710].speaker SPEAKER_08
transcript.pyannote[1710].start 14744.76471875
transcript.pyannote[1710].end 14746.01346875
transcript.pyannote[1711].speaker SPEAKER_06
transcript.pyannote[1711].start 14746.31721875
transcript.pyannote[1711].end 14746.33409375
transcript.pyannote[1712].speaker SPEAKER_08
transcript.pyannote[1712].start 14746.33409375
transcript.pyannote[1712].end 14746.92471875
transcript.pyannote[1713].speaker SPEAKER_06
transcript.pyannote[1713].start 14746.92471875
transcript.pyannote[1713].end 14746.95846875
transcript.pyannote[1714].speaker SPEAKER_06
transcript.pyannote[1714].start 14747.05971875
transcript.pyannote[1714].end 14747.12721875
transcript.pyannote[1715].speaker SPEAKER_08
transcript.pyannote[1715].start 14747.12721875
transcript.pyannote[1715].end 14747.85284375
transcript.pyannote[1716].speaker SPEAKER_06
transcript.pyannote[1716].start 14747.85284375
transcript.pyannote[1716].end 14748.98346875
transcript.pyannote[1717].speaker SPEAKER_06
transcript.pyannote[1717].start 14749.23659375
transcript.pyannote[1717].end 14749.25346875
transcript.pyannote[1718].speaker SPEAKER_08
transcript.pyannote[1718].start 14749.25346875
transcript.pyannote[1718].end 14749.94534375
transcript.pyannote[1719].speaker SPEAKER_06
transcript.pyannote[1719].start 14749.94534375
transcript.pyannote[1719].end 14749.96221875
transcript.pyannote[1720].speaker SPEAKER_21
transcript.pyannote[1720].start 14749.96221875
transcript.pyannote[1720].end 14749.99596875
transcript.pyannote[1721].speaker SPEAKER_21
transcript.pyannote[1721].start 14750.50221875
transcript.pyannote[1721].end 14750.51909375
transcript.pyannote[1722].speaker SPEAKER_08
transcript.pyannote[1722].start 14750.51909375
transcript.pyannote[1722].end 14750.53596875
transcript.pyannote[1723].speaker SPEAKER_21
transcript.pyannote[1723].start 14750.53596875
transcript.pyannote[1723].end 14751.66659375
transcript.pyannote[1724].speaker SPEAKER_21
transcript.pyannote[1724].start 14751.76784375
transcript.pyannote[1724].end 14752.57784375
transcript.pyannote[1725].speaker SPEAKER_21
transcript.pyannote[1725].start 14752.76346875
transcript.pyannote[1725].end 14753.97846875
transcript.pyannote[1726].speaker SPEAKER_21
transcript.pyannote[1726].start 14754.38346875
transcript.pyannote[1726].end 14761.03221875
transcript.pyannote[1727].speaker SPEAKER_16
transcript.pyannote[1727].start 14759.68221875
transcript.pyannote[1727].end 14762.38221875
transcript.pyannote[1728].speaker SPEAKER_08
transcript.pyannote[1728].start 14761.03221875
transcript.pyannote[1728].end 14761.20096875
transcript.pyannote[1729].speaker SPEAKER_21
transcript.pyannote[1729].start 14761.20096875
transcript.pyannote[1729].end 14761.23471875
transcript.pyannote[1730].speaker SPEAKER_16
transcript.pyannote[1730].start 14762.61846875
transcript.pyannote[1730].end 14762.65221875
transcript.pyannote[1731].speaker SPEAKER_08
transcript.pyannote[1731].start 14762.65221875
transcript.pyannote[1731].end 14766.98909375
transcript.pyannote[1732].speaker SPEAKER_08
transcript.pyannote[1732].start 14767.27596875
transcript.pyannote[1732].end 14768.65971875
transcript.pyannote[1733].speaker SPEAKER_08
transcript.pyannote[1733].start 14769.53721875
transcript.pyannote[1733].end 14772.52409375
transcript.pyannote[1734].speaker SPEAKER_08
transcript.pyannote[1734].start 14772.54096875
transcript.pyannote[1734].end 14777.63721875
transcript.pyannote[1735].speaker SPEAKER_00
transcript.pyannote[1735].start 14774.24534375
transcript.pyannote[1735].end 14775.35909375
transcript.pyannote[1736].speaker SPEAKER_08
transcript.pyannote[1736].start 14778.43034375
transcript.pyannote[1736].end 14781.04596875
transcript.pyannote[1737].speaker SPEAKER_08
transcript.pyannote[1737].start 14781.46784375
transcript.pyannote[1737].end 14788.31909375
transcript.pyannote[1738].speaker SPEAKER_21
transcript.pyannote[1738].start 14787.50909375
transcript.pyannote[1738].end 14788.16721875
transcript.pyannote[1739].speaker SPEAKER_08
transcript.pyannote[1739].start 14789.14596875
transcript.pyannote[1739].end 14791.62659375
transcript.pyannote[1740].speaker SPEAKER_08
transcript.pyannote[1740].start 14793.12846875
transcript.pyannote[1740].end 14793.97221875
transcript.pyannote[1741].speaker SPEAKER_21
transcript.pyannote[1741].start 14793.97221875
transcript.pyannote[1741].end 14794.00596875
transcript.pyannote[1742].speaker SPEAKER_21
transcript.pyannote[1742].start 14795.54159375
transcript.pyannote[1742].end 14798.24159375
transcript.pyannote[1743].speaker SPEAKER_21
transcript.pyannote[1743].start 14798.74784375
transcript.pyannote[1743].end 14816.02784375
transcript.pyannote[1744].speaker SPEAKER_08
transcript.pyannote[1744].start 14810.79659375
transcript.pyannote[1744].end 14811.15096875
transcript.pyannote[1745].speaker SPEAKER_08
transcript.pyannote[1745].start 14815.63971875
transcript.pyannote[1745].end 14822.99721875
transcript.pyannote[1746].speaker SPEAKER_21
transcript.pyannote[1746].start 14823.50346875
transcript.pyannote[1746].end 14824.63409375
transcript.pyannote[1747].speaker SPEAKER_08
transcript.pyannote[1747].start 14823.87471875
transcript.pyannote[1747].end 14824.81971875
transcript.pyannote[1748].speaker SPEAKER_21
transcript.pyannote[1748].start 14824.81971875
transcript.pyannote[1748].end 14824.92096875
transcript.pyannote[1749].speaker SPEAKER_21
transcript.pyannote[1749].start 14824.95471875
transcript.pyannote[1749].end 14824.97159375
transcript.pyannote[1750].speaker SPEAKER_08
transcript.pyannote[1750].start 14825.61284375
transcript.pyannote[1750].end 14827.70534375
transcript.pyannote[1751].speaker SPEAKER_08
transcript.pyannote[1751].start 14828.00909375
transcript.pyannote[1751].end 14831.63721875
transcript.pyannote[1752].speaker SPEAKER_08
transcript.pyannote[1752].start 14832.10971875
transcript.pyannote[1752].end 14832.90284375
transcript.pyannote[1753].speaker SPEAKER_08
transcript.pyannote[1753].start 14833.18971875
transcript.pyannote[1753].end 14841.03659375
transcript.pyannote[1754].speaker SPEAKER_21
transcript.pyannote[1754].start 14841.03659375
transcript.pyannote[1754].end 14841.37409375
transcript.pyannote[1755].speaker SPEAKER_08
transcript.pyannote[1755].start 14841.54284375
transcript.pyannote[1755].end 14841.59346875
transcript.pyannote[1756].speaker SPEAKER_21
transcript.pyannote[1756].start 14841.59346875
transcript.pyannote[1756].end 14842.96034375
transcript.pyannote[1757].speaker SPEAKER_21
transcript.pyannote[1757].start 14843.12909375
transcript.pyannote[1757].end 14843.85471875
transcript.pyannote[1758].speaker SPEAKER_21
transcript.pyannote[1758].start 14844.78284375
transcript.pyannote[1758].end 14848.03971875
transcript.pyannote[1759].speaker SPEAKER_21
transcript.pyannote[1759].start 14848.56284375
transcript.pyannote[1759].end 14849.13659375
transcript.pyannote[1760].speaker SPEAKER_21
transcript.pyannote[1760].start 14849.37284375
transcript.pyannote[1760].end 14850.84096875
transcript.pyannote[1761].speaker SPEAKER_08
transcript.pyannote[1761].start 14850.84096875
transcript.pyannote[1761].end 14851.36409375
transcript.pyannote[1762].speaker SPEAKER_21
transcript.pyannote[1762].start 14851.80284375
transcript.pyannote[1762].end 14851.81971875
transcript.pyannote[1763].speaker SPEAKER_08
transcript.pyannote[1763].start 14851.81971875
transcript.pyannote[1763].end 14859.31221875
transcript.pyannote[1764].speaker SPEAKER_08
transcript.pyannote[1764].start 14862.78846875
transcript.pyannote[1764].end 14863.36221875
transcript.pyannote[1765].speaker SPEAKER_08
transcript.pyannote[1765].start 14863.68284375
transcript.pyannote[1765].end 14869.36971875
transcript.pyannote[1766].speaker SPEAKER_08
transcript.pyannote[1766].start 14869.55534375
transcript.pyannote[1766].end 14871.69846875
transcript.pyannote[1767].speaker SPEAKER_08
transcript.pyannote[1767].start 14872.99784375
transcript.pyannote[1767].end 14875.22534375
transcript.pyannote[1768].speaker SPEAKER_08
transcript.pyannote[1768].start 14875.86659375
transcript.pyannote[1768].end 14878.60034375
transcript.pyannote[1769].speaker SPEAKER_08
transcript.pyannote[1769].start 14878.78596875
transcript.pyannote[1769].end 14882.00909375
transcript.pyannote[1770].speaker SPEAKER_08
transcript.pyannote[1770].start 14882.54909375
transcript.pyannote[1770].end 14884.30409375
transcript.pyannote[1771].speaker SPEAKER_08
transcript.pyannote[1771].start 14884.81034375
transcript.pyannote[1771].end 14885.41784375
transcript.pyannote[1772].speaker SPEAKER_08
transcript.pyannote[1772].start 14885.73846875
transcript.pyannote[1772].end 14887.03784375
transcript.pyannote[1773].speaker SPEAKER_08
transcript.pyannote[1773].start 14888.10096875
transcript.pyannote[1773].end 14891.10471875
transcript.pyannote[1774].speaker SPEAKER_08
transcript.pyannote[1774].start 14891.52659375
transcript.pyannote[1774].end 14893.51784375
transcript.pyannote[1775].speaker SPEAKER_08
transcript.pyannote[1775].start 14894.12534375
transcript.pyannote[1775].end 14895.03659375
transcript.pyannote[1776].speaker SPEAKER_08
transcript.pyannote[1776].start 14896.52159375
transcript.pyannote[1776].end 14899.42409375
transcript.pyannote[1777].speaker SPEAKER_08
transcript.pyannote[1777].start 14902.56284375
transcript.pyannote[1777].end 14905.31346875
transcript.pyannote[1778].speaker SPEAKER_13
transcript.pyannote[1778].start 14918.84721875
transcript.pyannote[1778].end 14918.93159375
transcript.pyannote[1779].speaker SPEAKER_11
transcript.pyannote[1779].start 14920.83846875
transcript.pyannote[1779].end 14921.02409375
transcript.pyannote[1780].speaker SPEAKER_09
transcript.pyannote[1780].start 14921.02409375
transcript.pyannote[1780].end 14921.66534375
transcript.pyannote[1781].speaker SPEAKER_11
transcript.pyannote[1781].start 14921.66534375
transcript.pyannote[1781].end 14924.02784375
transcript.pyannote[1782].speaker SPEAKER_15
transcript.pyannote[1782].start 14924.02784375
transcript.pyannote[1782].end 14931.11534375
transcript.pyannote[1783].speaker SPEAKER_09
transcript.pyannote[1783].start 14934.06846875
transcript.pyannote[1783].end 14934.23721875
transcript.pyannote[1784].speaker SPEAKER_09
transcript.pyannote[1784].start 14934.27096875
transcript.pyannote[1784].end 14934.30471875
transcript.pyannote[1785].speaker SPEAKER_09
transcript.pyannote[1785].start 14934.55784375
transcript.pyannote[1785].end 14934.86159375
transcript.pyannote[1786].speaker SPEAKER_09
transcript.pyannote[1786].start 14935.80659375
transcript.pyannote[1786].end 14941.30784375
transcript.pyannote[1787].speaker SPEAKER_16
transcript.pyannote[1787].start 14937.46034375
transcript.pyannote[1787].end 14937.79784375
transcript.pyannote[1788].speaker SPEAKER_16
transcript.pyannote[1788].start 14938.47284375
transcript.pyannote[1788].end 14941.91534375
transcript.pyannote[1789].speaker SPEAKER_15
transcript.pyannote[1789].start 14941.91534375
transcript.pyannote[1789].end 14942.10096875
transcript.pyannote[1790].speaker SPEAKER_16
transcript.pyannote[1790].start 14942.10096875
transcript.pyannote[1790].end 14942.21909375
transcript.pyannote[1791].speaker SPEAKER_09
transcript.pyannote[1791].start 14942.21909375
transcript.pyannote[1791].end 14945.37471875
transcript.pyannote[1792].speaker SPEAKER_16
transcript.pyannote[1792].start 14942.28659375
transcript.pyannote[1792].end 14943.65346875
transcript.pyannote[1793].speaker SPEAKER_15
transcript.pyannote[1793].start 14943.65346875
transcript.pyannote[1793].end 14944.58159375
transcript.pyannote[1794].speaker SPEAKER_15
transcript.pyannote[1794].start 14944.71659375
transcript.pyannote[1794].end 14944.78409375
transcript.pyannote[1795].speaker SPEAKER_15
transcript.pyannote[1795].start 14945.37471875
transcript.pyannote[1795].end 14945.72909375
transcript.pyannote[1796].speaker SPEAKER_09
transcript.pyannote[1796].start 14949.00284375
transcript.pyannote[1796].end 14951.11221875
transcript.pyannote[1797].speaker SPEAKER_09
transcript.pyannote[1797].start 14951.14596875
transcript.pyannote[1797].end 14951.16284375
transcript.pyannote[1798].speaker SPEAKER_09
transcript.pyannote[1798].start 14951.17971875
transcript.pyannote[1798].end 14961.45659375
transcript.pyannote[1799].speaker SPEAKER_13
transcript.pyannote[1799].start 14961.45659375
transcript.pyannote[1799].end 14961.64221875
transcript.pyannote[1800].speaker SPEAKER_13
transcript.pyannote[1800].start 14962.57034375
transcript.pyannote[1800].end 14963.12721875
transcript.pyannote[1801].speaker SPEAKER_13
transcript.pyannote[1801].start 14963.85284375
transcript.pyannote[1801].end 14964.24096875
transcript.pyannote[1802].speaker SPEAKER_13
transcript.pyannote[1802].start 14975.36159375
transcript.pyannote[1802].end 14976.47534375
transcript.pyannote[1803].speaker SPEAKER_13
transcript.pyannote[1803].start 14984.03534375
transcript.pyannote[1803].end 14985.68909375
transcript.pyannote[1804].speaker SPEAKER_13
transcript.pyannote[1804].start 14990.34659375
transcript.pyannote[1804].end 14990.44784375
transcript.pyannote[1805].speaker SPEAKER_15
transcript.pyannote[1805].start 15000.64034375
transcript.pyannote[1805].end 15002.68221875
transcript.pyannote[1806].speaker SPEAKER_15
transcript.pyannote[1806].start 15002.73284375
transcript.pyannote[1806].end 15007.15409375
transcript.pyannote[1807].speaker SPEAKER_09
transcript.pyannote[1807].start 15004.47096875
transcript.pyannote[1807].end 15004.52159375
transcript.pyannote[1808].speaker SPEAKER_15
transcript.pyannote[1808].start 15009.49971875
transcript.pyannote[1808].end 15009.97221875
transcript.pyannote[1809].speaker SPEAKER_09
transcript.pyannote[1809].start 15009.97221875
transcript.pyannote[1809].end 15010.32659375
transcript.pyannote[1810].speaker SPEAKER_09
transcript.pyannote[1810].start 15010.52909375
transcript.pyannote[1810].end 15015.40596875
transcript.pyannote[1811].speaker SPEAKER_15
transcript.pyannote[1811].start 15011.74409375
transcript.pyannote[1811].end 15013.02659375
transcript.pyannote[1812].speaker SPEAKER_11
transcript.pyannote[1812].start 15013.97159375
transcript.pyannote[1812].end 15014.03909375
transcript.pyannote[1813].speaker SPEAKER_15
transcript.pyannote[1813].start 15014.03909375
transcript.pyannote[1813].end 15014.49471875
transcript.pyannote[1814].speaker SPEAKER_15
transcript.pyannote[1814].start 15018.96659375
transcript.pyannote[1814].end 15019.08471875
transcript.pyannote[1815].speaker SPEAKER_06
transcript.pyannote[1815].start 15019.08471875
transcript.pyannote[1815].end 15019.91159375
transcript.pyannote[1816].speaker SPEAKER_15
transcript.pyannote[1816].start 15023.37096875
transcript.pyannote[1816].end 15024.02909375
transcript.pyannote[1817].speaker SPEAKER_09
transcript.pyannote[1817].start 15026.52659375
transcript.pyannote[1817].end 15029.02409375
transcript.pyannote[1818].speaker SPEAKER_15
transcript.pyannote[1818].start 15027.16784375
transcript.pyannote[1818].end 15027.18471875
transcript.pyannote[1819].speaker SPEAKER_13
transcript.pyannote[1819].start 15027.18471875
transcript.pyannote[1819].end 15027.80909375
transcript.pyannote[1820].speaker SPEAKER_15
transcript.pyannote[1820].start 15027.80909375
transcript.pyannote[1820].end 15027.82596875
transcript.pyannote[1821].speaker SPEAKER_09
transcript.pyannote[1821].start 15029.12534375
transcript.pyannote[1821].end 15030.96471875
transcript.pyannote[1822].speaker SPEAKER_13
transcript.pyannote[1822].start 15032.60159375
transcript.pyannote[1822].end 15032.80409375
transcript.pyannote[1823].speaker SPEAKER_09
transcript.pyannote[1823].start 15032.80409375
transcript.pyannote[1823].end 15034.03596875
transcript.pyannote[1824].speaker SPEAKER_13
transcript.pyannote[1824].start 15032.85471875
transcript.pyannote[1824].end 15033.29346875
transcript.pyannote[1825].speaker SPEAKER_13
transcript.pyannote[1825].start 15034.03596875
transcript.pyannote[1825].end 15036.97221875
transcript.pyannote[1826].speaker SPEAKER_13
transcript.pyannote[1826].start 15037.91721875
transcript.pyannote[1826].end 15038.10284375
transcript.pyannote[1827].speaker SPEAKER_13
transcript.pyannote[1827].start 15038.22096875
transcript.pyannote[1827].end 15039.87471875
transcript.pyannote[1828].speaker SPEAKER_13
transcript.pyannote[1828].start 15040.56659375
transcript.pyannote[1828].end 15041.29221875
transcript.pyannote[1829].speaker SPEAKER_13
transcript.pyannote[1829].start 15049.42596875
transcript.pyannote[1829].end 15050.53971875
transcript.pyannote[1830].speaker SPEAKER_13
transcript.pyannote[1830].start 15051.09659375
transcript.pyannote[1830].end 15051.40034375
transcript.pyannote[1831].speaker SPEAKER_13
transcript.pyannote[1831].start 15051.63659375
transcript.pyannote[1831].end 15053.20596875
transcript.pyannote[1832].speaker SPEAKER_13
transcript.pyannote[1832].start 15054.37034375
transcript.pyannote[1832].end 15056.36159375
transcript.pyannote[1833].speaker SPEAKER_13
transcript.pyannote[1833].start 15058.36971875
transcript.pyannote[1833].end 15062.99346875
transcript.pyannote[1834].speaker SPEAKER_11
transcript.pyannote[1834].start 15062.99346875
transcript.pyannote[1834].end 15067.11096875
transcript.pyannote[1835].speaker SPEAKER_08
transcript.pyannote[1835].start 16410.34409375
transcript.pyannote[1835].end 16413.80346875
transcript.pyannote[1836].speaker SPEAKER_08
transcript.pyannote[1836].start 16413.95534375
transcript.pyannote[1836].end 16415.59221875
transcript.pyannote[1837].speaker SPEAKER_08
transcript.pyannote[1837].start 16416.57096875
transcript.pyannote[1837].end 16417.39784375
transcript.pyannote[1838].speaker SPEAKER_08
transcript.pyannote[1838].start 16418.42721875
transcript.pyannote[1838].end 16421.68409375
transcript.pyannote[1839].speaker SPEAKER_08
transcript.pyannote[1839].start 16425.26159375
transcript.pyannote[1839].end 16425.68346875
transcript.pyannote[1840].speaker SPEAKER_08
transcript.pyannote[1840].start 16427.47221875
transcript.pyannote[1840].end 16428.31596875
transcript.pyannote[1841].speaker SPEAKER_08
transcript.pyannote[1841].start 16429.96971875
transcript.pyannote[1841].end 16430.42534375
transcript.pyannote[1842].speaker SPEAKER_06
transcript.pyannote[1842].start 16430.42534375
transcript.pyannote[1842].end 16430.49284375
transcript.pyannote[1843].speaker SPEAKER_08
transcript.pyannote[1843].start 16430.96534375
transcript.pyannote[1843].end 16431.03284375
transcript.pyannote[1844].speaker SPEAKER_08
transcript.pyannote[1844].start 16433.31096875
transcript.pyannote[1844].end 16434.94784375
transcript.pyannote[1845].speaker SPEAKER_08
transcript.pyannote[1845].start 16436.19659375
transcript.pyannote[1845].end 16436.66909375
transcript.pyannote[1846].speaker SPEAKER_08
transcript.pyannote[1846].start 16437.04034375
transcript.pyannote[1846].end 16439.26784375
transcript.pyannote[1847].speaker SPEAKER_08
transcript.pyannote[1847].start 16439.99346875
transcript.pyannote[1847].end 16440.34784375
transcript.pyannote[1848].speaker SPEAKER_08
transcript.pyannote[1848].start 16440.63471875
transcript.pyannote[1848].end 16442.08596875
transcript.pyannote[1849].speaker SPEAKER_08
transcript.pyannote[1849].start 16442.33909375
transcript.pyannote[1849].end 16444.65096875
transcript.pyannote[1850].speaker SPEAKER_08
transcript.pyannote[1850].start 16450.21971875
transcript.pyannote[1850].end 16452.48096875
transcript.pyannote[1851].speaker SPEAKER_08
transcript.pyannote[1851].start 16453.30784375
transcript.pyannote[1851].end 16456.21034375
transcript.pyannote[1852].speaker SPEAKER_08
transcript.pyannote[1852].start 16457.39159375
transcript.pyannote[1852].end 16459.95659375
transcript.pyannote[1853].speaker SPEAKER_02
transcript.pyannote[1853].start 16460.81721875
transcript.pyannote[1853].end 16469.30534375
transcript.pyannote[1854].speaker SPEAKER_02
transcript.pyannote[1854].start 16469.87909375
transcript.pyannote[1854].end 16471.88721875
transcript.pyannote[1855].speaker SPEAKER_02
transcript.pyannote[1855].start 16472.35971875
transcript.pyannote[1855].end 16475.24534375
transcript.pyannote[1856].speaker SPEAKER_02
transcript.pyannote[1856].start 16475.71784375
transcript.pyannote[1856].end 16478.62034375
transcript.pyannote[1857].speaker SPEAKER_02
transcript.pyannote[1857].start 16479.22784375
transcript.pyannote[1857].end 16481.18534375
transcript.pyannote[1858].speaker SPEAKER_02
transcript.pyannote[1858].start 16481.42159375
transcript.pyannote[1858].end 16482.94034375
transcript.pyannote[1859].speaker SPEAKER_02
transcript.pyannote[1859].start 16483.17659375
transcript.pyannote[1859].end 16488.03659375
transcript.pyannote[1860].speaker SPEAKER_02
transcript.pyannote[1860].start 16488.05346875
transcript.pyannote[1860].end 16490.87159375
transcript.pyannote[1861].speaker SPEAKER_02
transcript.pyannote[1861].start 16491.20909375
transcript.pyannote[1861].end 16495.36034375
transcript.pyannote[1862].speaker SPEAKER_02
transcript.pyannote[1862].start 16495.98471875
transcript.pyannote[1862].end 16504.52346875
transcript.pyannote[1863].speaker SPEAKER_02
transcript.pyannote[1863].start 16504.87784375
transcript.pyannote[1863].end 16513.23096875
transcript.pyannote[1864].speaker SPEAKER_02
transcript.pyannote[1864].start 16513.56846875
transcript.pyannote[1864].end 16515.93096875
transcript.pyannote[1865].speaker SPEAKER_02
transcript.pyannote[1865].start 16516.55534375
transcript.pyannote[1865].end 16552.56659375
transcript.pyannote[1866].speaker SPEAKER_08
transcript.pyannote[1866].start 16552.85346875
transcript.pyannote[1866].end 16553.86596875
transcript.pyannote[1867].speaker SPEAKER_08
transcript.pyannote[1867].start 16554.00096875
transcript.pyannote[1867].end 16556.51534375
transcript.pyannote[1868].speaker SPEAKER_07
transcript.pyannote[1868].start 16556.68409375
transcript.pyannote[1868].end 16556.70096875
transcript.pyannote[1869].speaker SPEAKER_08
transcript.pyannote[1869].start 16556.70096875
transcript.pyannote[1869].end 16556.71784375
transcript.pyannote[1870].speaker SPEAKER_07
transcript.pyannote[1870].start 16556.71784375
transcript.pyannote[1870].end 16564.37909375
transcript.pyannote[1871].speaker SPEAKER_07
transcript.pyannote[1871].start 16564.75034375
transcript.pyannote[1871].end 16609.30034375
transcript.pyannote[1872].speaker SPEAKER_07
transcript.pyannote[1872].start 16609.60409375
transcript.pyannote[1872].end 16672.17659375
transcript.pyannote[1873].speaker SPEAKER_08
transcript.pyannote[1873].start 16672.31159375
transcript.pyannote[1873].end 16674.65721875
transcript.pyannote[1874].speaker SPEAKER_08
transcript.pyannote[1874].start 16675.07909375
transcript.pyannote[1874].end 16676.53034375
transcript.pyannote[1875].speaker SPEAKER_08
transcript.pyannote[1875].start 16677.07034375
transcript.pyannote[1875].end 16677.88034375
transcript.pyannote[1876].speaker SPEAKER_05
transcript.pyannote[1876].start 16677.88034375
transcript.pyannote[1876].end 16677.89721875
transcript.pyannote[1877].speaker SPEAKER_08
transcript.pyannote[1877].start 16678.60596875
transcript.pyannote[1877].end 16678.62284375
transcript.pyannote[1878].speaker SPEAKER_05
transcript.pyannote[1878].start 16678.62284375
transcript.pyannote[1878].end 16686.72284375
transcript.pyannote[1879].speaker SPEAKER_05
transcript.pyannote[1879].start 16686.92534375
transcript.pyannote[1879].end 16700.39159375
transcript.pyannote[1880].speaker SPEAKER_05
transcript.pyannote[1880].start 16700.49284375
transcript.pyannote[1880].end 16702.16346875
transcript.pyannote[1881].speaker SPEAKER_05
transcript.pyannote[1881].start 16702.28159375
transcript.pyannote[1881].end 16707.39471875
transcript.pyannote[1882].speaker SPEAKER_05
transcript.pyannote[1882].start 16707.86721875
transcript.pyannote[1882].end 16709.63909375
transcript.pyannote[1883].speaker SPEAKER_05
transcript.pyannote[1883].start 16709.84159375
transcript.pyannote[1883].end 16711.34346875
transcript.pyannote[1884].speaker SPEAKER_05
transcript.pyannote[1884].start 16711.71471875
transcript.pyannote[1884].end 16712.91284375
transcript.pyannote[1885].speaker SPEAKER_05
transcript.pyannote[1885].start 16713.35159375
transcript.pyannote[1885].end 16715.86596875
transcript.pyannote[1886].speaker SPEAKER_05
transcript.pyannote[1886].start 16716.23721875
transcript.pyannote[1886].end 16720.15221875
transcript.pyannote[1887].speaker SPEAKER_05
transcript.pyannote[1887].start 16720.91159375
transcript.pyannote[1887].end 16722.10971875
transcript.pyannote[1888].speaker SPEAKER_05
transcript.pyannote[1888].start 16722.49784375
transcript.pyannote[1888].end 16723.61159375
transcript.pyannote[1889].speaker SPEAKER_05
transcript.pyannote[1889].start 16723.89846875
transcript.pyannote[1889].end 16728.96096875
transcript.pyannote[1890].speaker SPEAKER_05
transcript.pyannote[1890].start 16729.66971875
transcript.pyannote[1890].end 16730.02409375
transcript.pyannote[1891].speaker SPEAKER_05
transcript.pyannote[1891].start 16730.53034375
transcript.pyannote[1891].end 16735.06971875
transcript.pyannote[1892].speaker SPEAKER_05
transcript.pyannote[1892].start 16735.25534375
transcript.pyannote[1892].end 16743.22034375
transcript.pyannote[1893].speaker SPEAKER_05
transcript.pyannote[1893].start 16744.36784375
transcript.pyannote[1893].end 16744.87409375
transcript.pyannote[1894].speaker SPEAKER_07
transcript.pyannote[1894].start 16744.87409375
transcript.pyannote[1894].end 16821.89159375
transcript.pyannote[1895].speaker SPEAKER_08
transcript.pyannote[1895].start 16823.05596875
transcript.pyannote[1895].end 16826.51534375
transcript.pyannote[1896].speaker SPEAKER_16
transcript.pyannote[1896].start 16827.13971875
transcript.pyannote[1896].end 16827.47721875
transcript.pyannote[1897].speaker SPEAKER_08
transcript.pyannote[1897].start 16827.66284375
transcript.pyannote[1897].end 16829.31659375
transcript.pyannote[1898].speaker SPEAKER_08
transcript.pyannote[1898].start 16830.12659375
transcript.pyannote[1898].end 16832.79284375
transcript.pyannote[1899].speaker SPEAKER_08
transcript.pyannote[1899].start 16833.28221875
transcript.pyannote[1899].end 16836.75846875
transcript.pyannote[1900].speaker SPEAKER_08
transcript.pyannote[1900].start 16837.09596875
transcript.pyannote[1900].end 16839.57659375
transcript.pyannote[1901].speaker SPEAKER_08
transcript.pyannote[1901].start 16840.30221875
transcript.pyannote[1901].end 16844.99346875
transcript.pyannote[1902].speaker SPEAKER_08
transcript.pyannote[1902].start 16845.97221875
transcript.pyannote[1902].end 16846.64721875
transcript.pyannote[1903].speaker SPEAKER_08
transcript.pyannote[1903].start 16847.62596875
transcript.pyannote[1903].end 16848.16596875
transcript.pyannote[1904].speaker SPEAKER_08
transcript.pyannote[1904].start 16849.31346875
transcript.pyannote[1904].end 16850.89971875
transcript.pyannote[1905].speaker SPEAKER_08
transcript.pyannote[1905].start 16851.79409375
transcript.pyannote[1905].end 16854.86534375
transcript.pyannote[1906].speaker SPEAKER_08
transcript.pyannote[1906].start 16855.37159375
transcript.pyannote[1906].end 16863.79221875
transcript.pyannote[1907].speaker SPEAKER_08
transcript.pyannote[1907].start 16864.31534375
transcript.pyannote[1907].end 16865.27721875
transcript.pyannote[1908].speaker SPEAKER_08
transcript.pyannote[1908].start 16865.88471875
transcript.pyannote[1908].end 16868.07846875
transcript.pyannote[1909].speaker SPEAKER_08
transcript.pyannote[1909].start 16868.97284375
transcript.pyannote[1909].end 16870.67721875
transcript.pyannote[1910].speaker SPEAKER_08
transcript.pyannote[1910].start 16871.25096875
transcript.pyannote[1910].end 16872.02721875
transcript.pyannote[1911].speaker SPEAKER_07
transcript.pyannote[1911].start 16872.02721875
transcript.pyannote[1911].end 16872.66846875
transcript.pyannote[1912].speaker SPEAKER_07
transcript.pyannote[1912].start 16873.00596875
transcript.pyannote[1912].end 16886.52284375
transcript.pyannote[1913].speaker SPEAKER_08
transcript.pyannote[1913].start 16885.93221875
transcript.pyannote[1913].end 16888.19346875
transcript.pyannote[1914].speaker SPEAKER_08
transcript.pyannote[1914].start 16890.69096875
transcript.pyannote[1914].end 16891.82159375
transcript.pyannote[1915].speaker SPEAKER_08
transcript.pyannote[1915].start 16892.34471875
transcript.pyannote[1915].end 16895.06159375
transcript.pyannote[1916].speaker SPEAKER_08
transcript.pyannote[1916].start 16895.38221875
transcript.pyannote[1916].end 16896.47909375
transcript.pyannote[1917].speaker SPEAKER_08
transcript.pyannote[1917].start 16897.25534375
transcript.pyannote[1917].end 16897.74471875
transcript.pyannote[1918].speaker SPEAKER_08
transcript.pyannote[1918].start 16897.93034375
transcript.pyannote[1918].end 16916.44221875
transcript.pyannote[1919].speaker SPEAKER_08
transcript.pyannote[1919].start 16916.64471875
transcript.pyannote[1919].end 16918.60221875
transcript.pyannote[1920].speaker SPEAKER_08
transcript.pyannote[1920].start 16918.93971875
transcript.pyannote[1920].end 16925.25096875
transcript.pyannote[1921].speaker SPEAKER_08
transcript.pyannote[1921].start 16925.80784375
transcript.pyannote[1921].end 16930.29659375
transcript.pyannote[1922].speaker SPEAKER_08
transcript.pyannote[1922].start 16930.81971875
transcript.pyannote[1922].end 16931.19096875
transcript.pyannote[1923].speaker SPEAKER_08
transcript.pyannote[1923].start 16931.61284375
transcript.pyannote[1923].end 16933.45221875
transcript.pyannote[1924].speaker SPEAKER_08
transcript.pyannote[1924].start 16933.58721875
transcript.pyannote[1924].end 16934.58284375
transcript.pyannote[1925].speaker SPEAKER_08
transcript.pyannote[1925].start 16934.66721875
transcript.pyannote[1925].end 16935.57846875
transcript.pyannote[1926].speaker SPEAKER_08
transcript.pyannote[1926].start 16935.71346875
transcript.pyannote[1926].end 16936.48971875
transcript.pyannote[1927].speaker SPEAKER_08
transcript.pyannote[1927].start 16936.77659375
transcript.pyannote[1927].end 16939.59471875
transcript.pyannote[1928].speaker SPEAKER_08
transcript.pyannote[1928].start 16939.84784375
transcript.pyannote[1928].end 16941.90659375
transcript.pyannote[1929].speaker SPEAKER_08
transcript.pyannote[1929].start 16942.46346875
transcript.pyannote[1929].end 16945.45034375
transcript.pyannote[1930].speaker SPEAKER_08
transcript.pyannote[1930].start 16945.75409375
transcript.pyannote[1930].end 16952.75721875
transcript.pyannote[1931].speaker SPEAKER_08
transcript.pyannote[1931].start 16953.39846875
transcript.pyannote[1931].end 16960.63784375
transcript.pyannote[1932].speaker SPEAKER_07
transcript.pyannote[1932].start 16960.63784375
transcript.pyannote[1932].end 16962.64596875
transcript.pyannote[1933].speaker SPEAKER_08
transcript.pyannote[1933].start 16962.64596875
transcript.pyannote[1933].end 16964.85659375
transcript.pyannote[1934].speaker SPEAKER_07
transcript.pyannote[1934].start 16962.67971875
transcript.pyannote[1934].end 16962.69659375
transcript.pyannote[1935].speaker SPEAKER_08
transcript.pyannote[1935].start 16966.51034375
transcript.pyannote[1935].end 16968.65346875
transcript.pyannote[1936].speaker SPEAKER_08
transcript.pyannote[1936].start 16969.10909375
transcript.pyannote[1936].end 16974.08721875
transcript.pyannote[1937].speaker SPEAKER_08
transcript.pyannote[1937].start 16974.40784375
transcript.pyannote[1937].end 16976.50034375
transcript.pyannote[1938].speaker SPEAKER_08
transcript.pyannote[1938].start 16976.92221875
transcript.pyannote[1938].end 16978.39034375
transcript.pyannote[1939].speaker SPEAKER_08
transcript.pyannote[1939].start 16979.25096875
transcript.pyannote[1939].end 16979.82471875
transcript.pyannote[1940].speaker SPEAKER_08
transcript.pyannote[1940].start 16981.02284375
transcript.pyannote[1940].end 16982.45721875
transcript.pyannote[1941].speaker SPEAKER_08
transcript.pyannote[1941].start 16982.76096875
transcript.pyannote[1941].end 16985.00534375
transcript.pyannote[1942].speaker SPEAKER_16
transcript.pyannote[1942].start 16986.45659375
transcript.pyannote[1942].end 16989.03846875
transcript.pyannote[1943].speaker SPEAKER_16
transcript.pyannote[1943].start 16989.08909375
transcript.pyannote[1943].end 16989.13971875
transcript.pyannote[1944].speaker SPEAKER_08
transcript.pyannote[1944].start 16989.13971875
transcript.pyannote[1944].end 16992.05909375
transcript.pyannote[1945].speaker SPEAKER_08
transcript.pyannote[1945].start 16992.46409375
transcript.pyannote[1945].end 16992.76784375
transcript.pyannote[1946].speaker SPEAKER_08
transcript.pyannote[1946].start 16993.89846875
transcript.pyannote[1946].end 16994.69159375
transcript.pyannote[1947].speaker SPEAKER_08
transcript.pyannote[1947].start 16995.18096875
transcript.pyannote[1947].end 16996.86846875
transcript.pyannote[1948].speaker SPEAKER_08
transcript.pyannote[1948].start 16998.80909375
transcript.pyannote[1948].end 16999.83846875
transcript.pyannote[1949].speaker SPEAKER_08
transcript.pyannote[1949].start 17000.73284375
transcript.pyannote[1949].end 17005.52534375
transcript.pyannote[1950].speaker SPEAKER_08
transcript.pyannote[1950].start 17006.01471875
transcript.pyannote[1950].end 17007.24659375
transcript.pyannote[1951].speaker SPEAKER_08
transcript.pyannote[1951].start 17007.78659375
transcript.pyannote[1951].end 17008.71471875
transcript.pyannote[1952].speaker SPEAKER_08
transcript.pyannote[1952].start 17009.45721875
transcript.pyannote[1952].end 17011.02659375
transcript.pyannote[1953].speaker SPEAKER_08
transcript.pyannote[1953].start 17011.26284375
transcript.pyannote[1953].end 17012.22471875
transcript.pyannote[1954].speaker SPEAKER_08
transcript.pyannote[1954].start 17012.83221875
transcript.pyannote[1954].end 17013.81096875
transcript.pyannote[1955].speaker SPEAKER_08
transcript.pyannote[1955].start 17014.77284375
transcript.pyannote[1955].end 17016.17346875
transcript.pyannote[1956].speaker SPEAKER_08
transcript.pyannote[1956].start 17016.39284375
transcript.pyannote[1956].end 17020.94909375
transcript.pyannote[1957].speaker SPEAKER_16
transcript.pyannote[1957].start 17021.03346875
transcript.pyannote[1957].end 17021.06721875
transcript.pyannote[1958].speaker SPEAKER_16
transcript.pyannote[1958].start 17021.11784375
transcript.pyannote[1958].end 17021.55659375
transcript.pyannote[1959].speaker SPEAKER_08
transcript.pyannote[1959].start 17022.28221875
transcript.pyannote[1959].end 17028.03659375
transcript.pyannote[1960].speaker SPEAKER_08
transcript.pyannote[1960].start 17028.40784375
transcript.pyannote[1960].end 17028.79596875
transcript.pyannote[1961].speaker SPEAKER_08
transcript.pyannote[1961].start 17029.26846875
transcript.pyannote[1961].end 17030.73659375
transcript.pyannote[1962].speaker SPEAKER_08
transcript.pyannote[1962].start 17031.19221875
transcript.pyannote[1962].end 17033.85846875
transcript.pyannote[1963].speaker SPEAKER_08
transcript.pyannote[1963].start 17034.70221875
transcript.pyannote[1963].end 17037.09846875
transcript.pyannote[1964].speaker SPEAKER_08
transcript.pyannote[1964].start 17037.52034375
transcript.pyannote[1964].end 17039.89971875
transcript.pyannote[1965].speaker SPEAKER_08
transcript.pyannote[1965].start 17040.84471875
transcript.pyannote[1965].end 17041.40159375
transcript.pyannote[1966].speaker SPEAKER_08
transcript.pyannote[1966].start 17041.43534375
transcript.pyannote[1966].end 17041.70534375
transcript.pyannote[1967].speaker SPEAKER_05
transcript.pyannote[1967].start 17041.45221875
transcript.pyannote[1967].end 17048.75909375
transcript.pyannote[1968].speaker SPEAKER_05
transcript.pyannote[1968].start 17049.04596875
transcript.pyannote[1968].end 17049.11346875
transcript.pyannote[1969].speaker SPEAKER_05
transcript.pyannote[1969].start 17049.14721875
transcript.pyannote[1969].end 17061.97221875
transcript.pyannote[1970].speaker SPEAKER_16
transcript.pyannote[1970].start 17052.47159375
transcript.pyannote[1970].end 17053.75409375
transcript.pyannote[1971].speaker SPEAKER_08
transcript.pyannote[1971].start 17061.97221875
transcript.pyannote[1971].end 17062.68096875
transcript.pyannote[1972].speaker SPEAKER_05
transcript.pyannote[1972].start 17062.68096875
transcript.pyannote[1972].end 17062.76534375
transcript.pyannote[1973].speaker SPEAKER_08
transcript.pyannote[1973].start 17062.76534375
transcript.pyannote[1973].end 17062.79909375
transcript.pyannote[1974].speaker SPEAKER_05
transcript.pyannote[1974].start 17062.79909375
transcript.pyannote[1974].end 17062.81596875
transcript.pyannote[1975].speaker SPEAKER_08
transcript.pyannote[1975].start 17063.18721875
transcript.pyannote[1975].end 17064.23346875
transcript.pyannote[1976].speaker SPEAKER_08
transcript.pyannote[1976].start 17064.82409375
transcript.pyannote[1976].end 17069.43096875
transcript.pyannote[1977].speaker SPEAKER_08
transcript.pyannote[1977].start 17071.20284375
transcript.pyannote[1977].end 17071.86096875
transcript.pyannote[1978].speaker SPEAKER_07
transcript.pyannote[1978].start 17071.86096875
transcript.pyannote[1978].end 17073.54846875
transcript.pyannote[1979].speaker SPEAKER_08
transcript.pyannote[1979].start 17072.11409375
transcript.pyannote[1979].end 17072.78909375
transcript.pyannote[1980].speaker SPEAKER_08
transcript.pyannote[1980].start 17073.98721875
transcript.pyannote[1980].end 17074.03784375
transcript.pyannote[1981].speaker SPEAKER_07
transcript.pyannote[1981].start 17074.03784375
transcript.pyannote[1981].end 17076.31596875
transcript.pyannote[1982].speaker SPEAKER_07
transcript.pyannote[1982].start 17077.85159375
transcript.pyannote[1982].end 17081.76659375
transcript.pyannote[1983].speaker SPEAKER_08
transcript.pyannote[1983].start 17081.98596875
transcript.pyannote[1983].end 17082.59346875
transcript.pyannote[1984].speaker SPEAKER_08
transcript.pyannote[1984].start 17084.80409375
transcript.pyannote[1984].end 17085.20909375
transcript.pyannote[1985].speaker SPEAKER_08
transcript.pyannote[1985].start 17085.22596875
transcript.pyannote[1985].end 17090.60909375
transcript.pyannote[1986].speaker SPEAKER_16
transcript.pyannote[1986].start 17087.50409375
transcript.pyannote[1986].end 17087.97659375
transcript.pyannote[1987].speaker SPEAKER_07
transcript.pyannote[1987].start 17090.60909375
transcript.pyannote[1987].end 17090.67659375
transcript.pyannote[1988].speaker SPEAKER_07
transcript.pyannote[1988].start 17091.28409375
transcript.pyannote[1988].end 17095.14846875
transcript.pyannote[1989].speaker SPEAKER_07
transcript.pyannote[1989].start 17095.51971875
transcript.pyannote[1989].end 17101.29096875
transcript.pyannote[1990].speaker SPEAKER_07
transcript.pyannote[1990].start 17101.54409375
transcript.pyannote[1990].end 17102.50596875
transcript.pyannote[1991].speaker SPEAKER_08
transcript.pyannote[1991].start 17103.23159375
transcript.pyannote[1991].end 17106.33659375
transcript.pyannote[1992].speaker SPEAKER_07
transcript.pyannote[1992].start 17104.34534375
transcript.pyannote[1992].end 17107.63596875
transcript.pyannote[1993].speaker SPEAKER_08
transcript.pyannote[1993].start 17106.65721875
transcript.pyannote[1993].end 17107.12971875
transcript.pyannote[1994].speaker SPEAKER_08
transcript.pyannote[1994].start 17108.36159375
transcript.pyannote[1994].end 17111.19659375
transcript.pyannote[1995].speaker SPEAKER_08
transcript.pyannote[1995].start 17111.48346875
transcript.pyannote[1995].end 17113.93034375
transcript.pyannote[1996].speaker SPEAKER_08
transcript.pyannote[1996].start 17114.11596875
transcript.pyannote[1996].end 17114.94284375
transcript.pyannote[1997].speaker SPEAKER_08
transcript.pyannote[1997].start 17115.19596875
transcript.pyannote[1997].end 17118.68909375
transcript.pyannote[1998].speaker SPEAKER_08
transcript.pyannote[1998].start 17118.97596875
transcript.pyannote[1998].end 17119.92096875
transcript.pyannote[1999].speaker SPEAKER_08
transcript.pyannote[1999].start 17120.83221875
transcript.pyannote[1999].end 17121.38909375
transcript.pyannote[2000].speaker SPEAKER_08
transcript.pyannote[2000].start 17121.96284375
transcript.pyannote[2000].end 17124.12284375
transcript.pyannote[2001].speaker SPEAKER_08
transcript.pyannote[2001].start 17124.29159375
transcript.pyannote[2001].end 17126.65409375
transcript.pyannote[2002].speaker SPEAKER_07
transcript.pyannote[2002].start 17126.65409375
transcript.pyannote[2002].end 17126.67096875
transcript.pyannote[2003].speaker SPEAKER_08
transcript.pyannote[2003].start 17127.51471875
transcript.pyannote[2003].end 17128.03784375
transcript.pyannote[2004].speaker SPEAKER_07
transcript.pyannote[2004].start 17128.03784375
transcript.pyannote[2004].end 17128.07159375
transcript.pyannote[2005].speaker SPEAKER_08
transcript.pyannote[2005].start 17128.07159375
transcript.pyannote[2005].end 17128.12221875
transcript.pyannote[2006].speaker SPEAKER_07
transcript.pyannote[2006].start 17128.12221875
transcript.pyannote[2006].end 17128.20659375
transcript.pyannote[2007].speaker SPEAKER_08
transcript.pyannote[2007].start 17128.20659375
transcript.pyannote[2007].end 17128.22346875
transcript.pyannote[2008].speaker SPEAKER_07
transcript.pyannote[2008].start 17128.22346875
transcript.pyannote[2008].end 17128.89846875
transcript.pyannote[2009].speaker SPEAKER_07
transcript.pyannote[2009].start 17129.45534375
transcript.pyannote[2009].end 17131.96971875
transcript.pyannote[2010].speaker SPEAKER_07
transcript.pyannote[2010].start 17132.08784375
transcript.pyannote[2010].end 17133.75846875
transcript.pyannote[2011].speaker SPEAKER_08
transcript.pyannote[2011].start 17132.17221875
transcript.pyannote[2011].end 17133.43784375
transcript.pyannote[2012].speaker SPEAKER_08
transcript.pyannote[2012].start 17133.70784375
transcript.pyannote[2012].end 17135.12534375
transcript.pyannote[2013].speaker SPEAKER_08
transcript.pyannote[2013].start 17135.86784375
transcript.pyannote[2013].end 17136.99846875
transcript.pyannote[2014].speaker SPEAKER_08
transcript.pyannote[2014].start 17138.09534375
transcript.pyannote[2014].end 17138.88846875
transcript.pyannote[2015].speaker SPEAKER_08
transcript.pyannote[2015].start 17140.49159375
transcript.pyannote[2015].end 17141.77409375
transcript.pyannote[2016].speaker SPEAKER_08
transcript.pyannote[2016].start 17142.68534375
transcript.pyannote[2016].end 17144.10284375
transcript.pyannote[2017].speaker SPEAKER_05
transcript.pyannote[2017].start 17144.10284375
transcript.pyannote[2017].end 17144.11971875
transcript.pyannote[2018].speaker SPEAKER_08
transcript.pyannote[2018].start 17145.19971875
transcript.pyannote[2018].end 17145.84096875
transcript.pyannote[2019].speaker SPEAKER_05
transcript.pyannote[2019].start 17145.84096875
transcript.pyannote[2019].end 17145.90846875
transcript.pyannote[2020].speaker SPEAKER_08
transcript.pyannote[2020].start 17145.90846875
transcript.pyannote[2020].end 17146.02659375
transcript.pyannote[2021].speaker SPEAKER_05
transcript.pyannote[2021].start 17146.02659375
transcript.pyannote[2021].end 17146.58346875
transcript.pyannote[2022].speaker SPEAKER_05
transcript.pyannote[2022].start 17147.69721875
transcript.pyannote[2022].end 17148.23721875
transcript.pyannote[2023].speaker SPEAKER_05
transcript.pyannote[2023].start 17148.40596875
transcript.pyannote[2023].end 17162.96909375
transcript.pyannote[2024].speaker SPEAKER_08
transcript.pyannote[2024].start 17160.47159375
transcript.pyannote[2024].end 17160.53909375
transcript.pyannote[2025].speaker SPEAKER_16
transcript.pyannote[2025].start 17160.53909375
transcript.pyannote[2025].end 17162.02409375
transcript.pyannote[2026].speaker SPEAKER_08
transcript.pyannote[2026].start 17162.02409375
transcript.pyannote[2026].end 17165.06159375
transcript.pyannote[2027].speaker SPEAKER_16
transcript.pyannote[2027].start 17162.96909375
transcript.pyannote[2027].end 17163.39096875
transcript.pyannote[2028].speaker SPEAKER_05
transcript.pyannote[2028].start 17163.39096875
transcript.pyannote[2028].end 17163.42471875
transcript.pyannote[2029].speaker SPEAKER_16
transcript.pyannote[2029].start 17163.76221875
transcript.pyannote[2029].end 17164.40346875
transcript.pyannote[2030].speaker SPEAKER_05
transcript.pyannote[2030].start 17164.40346875
transcript.pyannote[2030].end 17164.50471875
transcript.pyannote[2031].speaker SPEAKER_08
transcript.pyannote[2031].start 17165.34846875
transcript.pyannote[2031].end 17165.48346875
transcript.pyannote[2032].speaker SPEAKER_08
transcript.pyannote[2032].start 17168.01471875
transcript.pyannote[2032].end 17169.78659375
transcript.pyannote[2033].speaker SPEAKER_08
transcript.pyannote[2033].start 17170.12409375
transcript.pyannote[2033].end 17181.68346875
transcript.pyannote[2034].speaker SPEAKER_15
transcript.pyannote[2034].start 17171.38971875
transcript.pyannote[2034].end 17171.49096875
transcript.pyannote[2035].speaker SPEAKER_16
transcript.pyannote[2035].start 17175.87846875
transcript.pyannote[2035].end 17175.91221875
transcript.pyannote[2036].speaker SPEAKER_07
transcript.pyannote[2036].start 17175.91221875
transcript.pyannote[2036].end 17178.49409375
transcript.pyannote[2037].speaker SPEAKER_07
transcript.pyannote[2037].start 17178.98346875
transcript.pyannote[2037].end 17179.89471875
transcript.pyannote[2038].speaker SPEAKER_16
transcript.pyannote[2038].start 17179.89471875
transcript.pyannote[2038].end 17179.96221875
transcript.pyannote[2039].speaker SPEAKER_07
transcript.pyannote[2039].start 17179.96221875
transcript.pyannote[2039].end 17179.97909375
transcript.pyannote[2040].speaker SPEAKER_00
transcript.pyannote[2040].start 17179.97909375
transcript.pyannote[2040].end 17180.46846875
transcript.pyannote[2041].speaker SPEAKER_08
transcript.pyannote[2041].start 17182.03784375
transcript.pyannote[2041].end 17186.42534375
transcript.pyannote[2042].speaker SPEAKER_19
transcript.pyannote[2042].start 17203.60409375
transcript.pyannote[2042].end 17206.03409375
transcript.pyannote[2043].speaker SPEAKER_08
transcript.pyannote[2043].start 17216.04096875
transcript.pyannote[2043].end 17222.21721875
transcript.pyannote[2044].speaker SPEAKER_08
transcript.pyannote[2044].start 17222.67284375
transcript.pyannote[2044].end 17223.22971875
transcript.pyannote[2045].speaker SPEAKER_08
transcript.pyannote[2045].start 17224.05659375
transcript.pyannote[2045].end 17225.23784375
transcript.pyannote[2046].speaker SPEAKER_08
transcript.pyannote[2046].start 17225.54159375
transcript.pyannote[2046].end 17226.58784375
transcript.pyannote[2047].speaker SPEAKER_08
transcript.pyannote[2047].start 17227.60034375
transcript.pyannote[2047].end 17229.57471875
transcript.pyannote[2048].speaker SPEAKER_08
transcript.pyannote[2048].start 17229.70971875
transcript.pyannote[2048].end 17231.44784375
transcript.pyannote[2049].speaker SPEAKER_08
transcript.pyannote[2049].start 17232.35909375
transcript.pyannote[2049].end 17233.06784375
transcript.pyannote[2050].speaker SPEAKER_13
transcript.pyannote[2050].start 17237.10096875
transcript.pyannote[2050].end 17237.92784375
transcript.pyannote[2051].speaker SPEAKER_13
transcript.pyannote[2051].start 17240.62784375
transcript.pyannote[2051].end 17243.02409375
transcript.pyannote[2052].speaker SPEAKER_08
transcript.pyannote[2052].start 17243.02409375
transcript.pyannote[2052].end 17248.30596875
transcript.pyannote[2053].speaker SPEAKER_13
transcript.pyannote[2053].start 17243.05784375
transcript.pyannote[2053].end 17243.12534375
transcript.pyannote[2054].speaker SPEAKER_13
transcript.pyannote[2054].start 17243.20971875
transcript.pyannote[2054].end 17243.32784375
transcript.pyannote[2055].speaker SPEAKER_08
transcript.pyannote[2055].start 17248.87971875
transcript.pyannote[2055].end 17253.90846875
transcript.pyannote[2056].speaker SPEAKER_05
transcript.pyannote[2056].start 17253.90846875
transcript.pyannote[2056].end 17254.09409375
transcript.pyannote[2057].speaker SPEAKER_08
transcript.pyannote[2057].start 17254.09409375
transcript.pyannote[2057].end 17254.16159375
transcript.pyannote[2058].speaker SPEAKER_05
transcript.pyannote[2058].start 17254.16159375
transcript.pyannote[2058].end 17312.76846875
transcript.pyannote[2059].speaker SPEAKER_06
transcript.pyannote[2059].start 17312.76846875
transcript.pyannote[2059].end 17313.03846875
transcript.pyannote[2060].speaker SPEAKER_08
transcript.pyannote[2060].start 17313.03846875
transcript.pyannote[2060].end 17333.03534375
transcript.pyannote[2061].speaker SPEAKER_05
transcript.pyannote[2061].start 17313.76409375
transcript.pyannote[2061].end 17319.02909375
transcript.pyannote[2062].speaker SPEAKER_00
transcript.pyannote[2062].start 17319.02909375
transcript.pyannote[2062].end 17319.07971875
transcript.pyannote[2063].speaker SPEAKER_00
transcript.pyannote[2063].start 17319.14721875
transcript.pyannote[2063].end 17319.26534375
transcript.pyannote[2064].speaker SPEAKER_16
transcript.pyannote[2064].start 17322.53909375
transcript.pyannote[2064].end 17323.28159375
transcript.pyannote[2065].speaker SPEAKER_00
transcript.pyannote[2065].start 17323.28159375
transcript.pyannote[2065].end 17323.31534375
transcript.pyannote[2066].speaker SPEAKER_04
transcript.pyannote[2066].start 17333.03534375
transcript.pyannote[2066].end 17340.96659375
transcript.pyannote[2067].speaker SPEAKER_08
transcript.pyannote[2067].start 17340.96659375
transcript.pyannote[2067].end 17343.66659375
transcript.pyannote[2068].speaker SPEAKER_04
transcript.pyannote[2068].start 17343.66659375
transcript.pyannote[2068].end 17343.90284375
transcript.pyannote[2069].speaker SPEAKER_08
transcript.pyannote[2069].start 17343.90284375
transcript.pyannote[2069].end 17347.68284375
transcript.pyannote[2070].speaker SPEAKER_08
transcript.pyannote[2070].start 17348.54346875
transcript.pyannote[2070].end 17351.59784375
transcript.pyannote[2071].speaker SPEAKER_08
transcript.pyannote[2071].start 17351.80034375
transcript.pyannote[2071].end 17353.18409375
transcript.pyannote[2072].speaker SPEAKER_08
transcript.pyannote[2072].start 17353.82534375
transcript.pyannote[2072].end 17354.97284375
transcript.pyannote[2073].speaker SPEAKER_02
transcript.pyannote[2073].start 17354.97284375
transcript.pyannote[2073].end 17355.69846875
transcript.pyannote[2074].speaker SPEAKER_08
transcript.pyannote[2074].start 17355.69846875
transcript.pyannote[2074].end 17356.91346875
transcript.pyannote[2075].speaker SPEAKER_02
transcript.pyannote[2075].start 17355.73221875
transcript.pyannote[2075].end 17358.21284375
transcript.pyannote[2076].speaker SPEAKER_08
transcript.pyannote[2076].start 17358.21284375
transcript.pyannote[2076].end 17361.28409375
transcript.pyannote[2077].speaker SPEAKER_02
transcript.pyannote[2077].start 17358.24659375
transcript.pyannote[2077].end 17358.34784375
transcript.pyannote[2078].speaker SPEAKER_08
transcript.pyannote[2078].start 17361.57096875
transcript.pyannote[2078].end 17363.98409375
transcript.pyannote[2079].speaker SPEAKER_08
transcript.pyannote[2079].start 17364.57471875
transcript.pyannote[2079].end 17365.03034375
transcript.pyannote[2080].speaker SPEAKER_08
transcript.pyannote[2080].start 17365.46909375
transcript.pyannote[2080].end 17366.93721875
transcript.pyannote[2081].speaker SPEAKER_08
transcript.pyannote[2081].start 17370.14346875
transcript.pyannote[2081].end 17373.60284375
transcript.pyannote[2082].speaker SPEAKER_08
transcript.pyannote[2082].start 17375.37471875
transcript.pyannote[2082].end 17376.89346875
transcript.pyannote[2083].speaker SPEAKER_08
transcript.pyannote[2083].start 17377.50096875
transcript.pyannote[2083].end 17377.82159375
transcript.pyannote[2084].speaker SPEAKER_08
transcript.pyannote[2084].start 17378.15909375
transcript.pyannote[2084].end 17383.49159375
transcript.pyannote[2085].speaker SPEAKER_04
transcript.pyannote[2085].start 17378.34471875
transcript.pyannote[2085].end 17378.44596875
transcript.pyannote[2086].speaker SPEAKER_16
transcript.pyannote[2086].start 17378.44596875
transcript.pyannote[2086].end 17379.05346875
transcript.pyannote[2087].speaker SPEAKER_04
transcript.pyannote[2087].start 17379.05346875
transcript.pyannote[2087].end 17379.08721875
transcript.pyannote[2088].speaker SPEAKER_04
transcript.pyannote[2088].start 17379.89721875
transcript.pyannote[2088].end 17380.30221875
transcript.pyannote[2089].speaker SPEAKER_16
transcript.pyannote[2089].start 17382.71534375
transcript.pyannote[2089].end 17383.66034375
transcript.pyannote[2090].speaker SPEAKER_08
transcript.pyannote[2090].start 17383.66034375
transcript.pyannote[2090].end 17387.84534375
transcript.pyannote[2091].speaker SPEAKER_08
transcript.pyannote[2091].start 17388.30096875
transcript.pyannote[2091].end 17391.03471875
transcript.pyannote[2092].speaker SPEAKER_08
transcript.pyannote[2092].start 17391.18659375
transcript.pyannote[2092].end 17392.21596875
transcript.pyannote[2093].speaker SPEAKER_08
transcript.pyannote[2093].start 17393.53221875
transcript.pyannote[2093].end 17396.82284375
transcript.pyannote[2094].speaker SPEAKER_08
transcript.pyannote[2094].start 17397.19409375
transcript.pyannote[2094].end 17398.24034375
transcript.pyannote[2095].speaker SPEAKER_08
transcript.pyannote[2095].start 17401.42971875
transcript.pyannote[2095].end 17406.01971875
transcript.pyannote[2096].speaker SPEAKER_00
transcript.pyannote[2096].start 17401.64909375
transcript.pyannote[2096].end 17401.68284375
transcript.pyannote[2097].speaker SPEAKER_06
transcript.pyannote[2097].start 17401.68284375
transcript.pyannote[2097].end 17403.25221875
transcript.pyannote[2098].speaker SPEAKER_00
transcript.pyannote[2098].start 17403.25221875
transcript.pyannote[2098].end 17403.30284375
transcript.pyannote[2099].speaker SPEAKER_08
transcript.pyannote[2099].start 17406.74534375
transcript.pyannote[2099].end 17407.75784375
transcript.pyannote[2100].speaker SPEAKER_08
transcript.pyannote[2100].start 17408.66909375
transcript.pyannote[2100].end 17409.46221875
transcript.pyannote[2101].speaker SPEAKER_08
transcript.pyannote[2101].start 17410.94721875
transcript.pyannote[2101].end 17411.99346875
transcript.pyannote[2102].speaker SPEAKER_08
transcript.pyannote[2102].start 17413.66409375
transcript.pyannote[2102].end 17416.07721875
transcript.pyannote[2103].speaker SPEAKER_08
transcript.pyannote[2103].start 17417.73096875
transcript.pyannote[2103].end 17425.88159375
transcript.pyannote[2104].speaker SPEAKER_08
transcript.pyannote[2104].start 17426.03346875
transcript.pyannote[2104].end 17426.28659375
transcript.pyannote[2105].speaker SPEAKER_08
transcript.pyannote[2105].start 17427.70409375
transcript.pyannote[2105].end 17428.81784375
transcript.pyannote[2106].speaker SPEAKER_00
transcript.pyannote[2106].start 17428.27784375
transcript.pyannote[2106].end 17428.42971875
transcript.pyannote[2107].speaker SPEAKER_16
transcript.pyannote[2107].start 17428.42971875
transcript.pyannote[2107].end 17428.63221875
transcript.pyannote[2108].speaker SPEAKER_00
transcript.pyannote[2108].start 17428.63221875
transcript.pyannote[2108].end 17428.64909375
transcript.pyannote[2109].speaker SPEAKER_08
transcript.pyannote[2109].start 17430.45471875
transcript.pyannote[2109].end 17433.01971875
transcript.pyannote[2110].speaker SPEAKER_16
transcript.pyannote[2110].start 17430.48846875
transcript.pyannote[2110].end 17431.29846875
transcript.pyannote[2111].speaker SPEAKER_08
transcript.pyannote[2111].start 17435.14596875
transcript.pyannote[2111].end 17438.79096875
transcript.pyannote[2112].speaker SPEAKER_16
transcript.pyannote[2112].start 17435.87159375
transcript.pyannote[2112].end 17436.37784375
transcript.pyannote[2113].speaker SPEAKER_08
transcript.pyannote[2113].start 17438.99346875
transcript.pyannote[2113].end 17440.71471875
transcript.pyannote[2114].speaker SPEAKER_08
transcript.pyannote[2114].start 17441.60909375
transcript.pyannote[2114].end 17447.44784375
transcript.pyannote[2115].speaker SPEAKER_00
transcript.pyannote[2115].start 17445.59159375
transcript.pyannote[2115].end 17446.26659375
transcript.pyannote[2116].speaker SPEAKER_00
transcript.pyannote[2116].start 17446.65471875
transcript.pyannote[2116].end 17446.95846875
transcript.pyannote[2117].speaker SPEAKER_08
transcript.pyannote[2117].start 17447.54909375
transcript.pyannote[2117].end 17447.90346875
transcript.pyannote[2118].speaker SPEAKER_08
transcript.pyannote[2118].start 17450.02971875
transcript.pyannote[2118].end 17451.61596875
transcript.pyannote[2119].speaker SPEAKER_08
transcript.pyannote[2119].start 17453.28659375
transcript.pyannote[2119].end 17457.47159375
transcript.pyannote[2120].speaker SPEAKER_05
transcript.pyannote[2120].start 17455.53096875
transcript.pyannote[2120].end 17455.75034375
transcript.pyannote[2121].speaker SPEAKER_16
transcript.pyannote[2121].start 17455.75034375
transcript.pyannote[2121].end 17456.07096875
transcript.pyannote[2122].speaker SPEAKER_05
transcript.pyannote[2122].start 17456.07096875
transcript.pyannote[2122].end 17456.10471875
transcript.pyannote[2123].speaker SPEAKER_08
transcript.pyannote[2123].start 17459.07471875
transcript.pyannote[2123].end 17461.04909375
transcript.pyannote[2124].speaker SPEAKER_00
transcript.pyannote[2124].start 17459.98596875
transcript.pyannote[2124].end 17460.82971875
transcript.pyannote[2125].speaker SPEAKER_08
transcript.pyannote[2125].start 17461.90971875
transcript.pyannote[2125].end 17462.71971875
transcript.pyannote[2126].speaker SPEAKER_08
transcript.pyannote[2126].start 17464.01909375
transcript.pyannote[2126].end 17467.81596875
transcript.pyannote[2127].speaker SPEAKER_08
transcript.pyannote[2127].start 17468.11971875
transcript.pyannote[2127].end 17469.50346875
transcript.pyannote[2128].speaker SPEAKER_08
transcript.pyannote[2128].start 17471.12346875
transcript.pyannote[2128].end 17472.03471875
transcript.pyannote[2129].speaker SPEAKER_08
transcript.pyannote[2129].start 17472.22034375
transcript.pyannote[2129].end 17472.92909375
transcript.pyannote[2130].speaker SPEAKER_08
transcript.pyannote[2130].start 17473.62096875
transcript.pyannote[2130].end 17474.34659375
transcript.pyannote[2131].speaker SPEAKER_08
transcript.pyannote[2131].start 17476.13534375
transcript.pyannote[2131].end 17481.80534375
transcript.pyannote[2132].speaker SPEAKER_08
transcript.pyannote[2132].start 17482.22721875
transcript.pyannote[2132].end 17487.67784375
transcript.pyannote[2133].speaker SPEAKER_08
transcript.pyannote[2133].start 17487.74534375
transcript.pyannote[2133].end 17489.38221875
transcript.pyannote[2134].speaker SPEAKER_08
transcript.pyannote[2134].start 17490.07409375
transcript.pyannote[2134].end 17492.43659375
transcript.pyannote[2135].speaker SPEAKER_08
transcript.pyannote[2135].start 17492.53784375
transcript.pyannote[2135].end 17494.78221875
transcript.pyannote[2136].speaker SPEAKER_08
transcript.pyannote[2136].start 17494.96784375
transcript.pyannote[2136].end 17496.92534375
transcript.pyannote[2137].speaker SPEAKER_08
transcript.pyannote[2137].start 17498.03909375
transcript.pyannote[2137].end 17499.28784375
transcript.pyannote[2138].speaker SPEAKER_08
transcript.pyannote[2138].start 17500.30034375
transcript.pyannote[2138].end 17501.51534375
transcript.pyannote[2139].speaker SPEAKER_08
transcript.pyannote[2139].start 17502.57846875
transcript.pyannote[2139].end 17503.05096875
transcript.pyannote[2140].speaker SPEAKER_08
transcript.pyannote[2140].start 17503.27034375
transcript.pyannote[2140].end 17505.73409375
transcript.pyannote[2141].speaker SPEAKER_05
transcript.pyannote[2141].start 17505.73409375
transcript.pyannote[2141].end 17505.76784375
transcript.pyannote[2142].speaker SPEAKER_05
transcript.pyannote[2142].start 17506.08846875
transcript.pyannote[2142].end 17507.75909375
transcript.pyannote[2143].speaker SPEAKER_05
transcript.pyannote[2143].start 17507.84346875
transcript.pyannote[2143].end 17509.41284375
transcript.pyannote[2144].speaker SPEAKER_05
transcript.pyannote[2144].start 17509.71659375
transcript.pyannote[2144].end 17541.44159375
transcript.pyannote[2145].speaker SPEAKER_05
transcript.pyannote[2145].start 17541.66096875
transcript.pyannote[2145].end 17545.98096875
transcript.pyannote[2146].speaker SPEAKER_05
transcript.pyannote[2146].start 17546.20034375
transcript.pyannote[2146].end 17570.98971875
transcript.pyannote[2147].speaker SPEAKER_05
transcript.pyannote[2147].start 17571.24284375
transcript.pyannote[2147].end 17572.62659375
transcript.pyannote[2148].speaker SPEAKER_05
transcript.pyannote[2148].start 17573.84159375
transcript.pyannote[2148].end 17576.08596875
transcript.pyannote[2149].speaker SPEAKER_08
transcript.pyannote[2149].start 17578.80284375
transcript.pyannote[2149].end 17581.18221875
transcript.pyannote[2150].speaker SPEAKER_08
transcript.pyannote[2150].start 17581.33409375
transcript.pyannote[2150].end 17588.08409375
transcript.pyannote[2151].speaker SPEAKER_08
transcript.pyannote[2151].start 17588.53971875
transcript.pyannote[2151].end 17606.03909375
transcript.pyannote[2152].speaker SPEAKER_04
transcript.pyannote[2152].start 17606.03909375
transcript.pyannote[2152].end 17607.37221875
transcript.pyannote[2153].speaker SPEAKER_08
transcript.pyannote[2153].start 17607.37221875
transcript.pyannote[2153].end 17607.67596875
transcript.pyannote[2154].speaker SPEAKER_04
transcript.pyannote[2154].start 17607.67596875
transcript.pyannote[2154].end 17609.00909375
transcript.pyannote[2155].speaker SPEAKER_04
transcript.pyannote[2155].start 17609.48159375
transcript.pyannote[2155].end 17635.97534375
transcript.pyannote[2156].speaker SPEAKER_08
transcript.pyannote[2156].start 17635.97534375
transcript.pyannote[2156].end 17636.63346875
transcript.pyannote[2157].speaker SPEAKER_04
transcript.pyannote[2157].start 17636.63346875
transcript.pyannote[2157].end 17636.66721875
transcript.pyannote[2158].speaker SPEAKER_08
transcript.pyannote[2158].start 17636.66721875
transcript.pyannote[2158].end 17636.78534375
transcript.pyannote[2159].speaker SPEAKER_04
transcript.pyannote[2159].start 17636.78534375
transcript.pyannote[2159].end 17636.80221875
transcript.pyannote[2160].speaker SPEAKER_08
transcript.pyannote[2160].start 17636.80221875
transcript.pyannote[2160].end 17636.85284375
transcript.pyannote[2161].speaker SPEAKER_04
transcript.pyannote[2161].start 17636.85284375
transcript.pyannote[2161].end 17637.15659375
transcript.pyannote[2162].speaker SPEAKER_08
transcript.pyannote[2162].start 17636.90346875
transcript.pyannote[2162].end 17639.02971875
transcript.pyannote[2163].speaker SPEAKER_19
transcript.pyannote[2163].start 17639.02971875
transcript.pyannote[2163].end 17641.49346875
transcript.pyannote[2164].speaker SPEAKER_19
transcript.pyannote[2164].start 17641.64534375
transcript.pyannote[2164].end 17641.66221875
transcript.pyannote[2165].speaker SPEAKER_08
transcript.pyannote[2165].start 17641.66221875
transcript.pyannote[2165].end 17641.67909375
transcript.pyannote[2166].speaker SPEAKER_19
transcript.pyannote[2166].start 17641.67909375
transcript.pyannote[2166].end 17644.58159375
transcript.pyannote[2167].speaker SPEAKER_19
transcript.pyannote[2167].start 17645.10471875
transcript.pyannote[2167].end 17683.15784375
transcript.pyannote[2168].speaker SPEAKER_19
transcript.pyannote[2168].start 17683.20846875
transcript.pyannote[2168].end 17693.73846875
transcript.pyannote[2169].speaker SPEAKER_19
transcript.pyannote[2169].start 17694.29534375
transcript.pyannote[2169].end 17698.27784375
transcript.pyannote[2170].speaker SPEAKER_19
transcript.pyannote[2170].start 17698.32846875
transcript.pyannote[2170].end 17700.48846875
transcript.pyannote[2171].speaker SPEAKER_19
transcript.pyannote[2171].start 17700.99471875
transcript.pyannote[2171].end 17706.63096875
transcript.pyannote[2172].speaker SPEAKER_19
transcript.pyannote[2172].start 17706.66471875
transcript.pyannote[2172].end 17710.17471875
transcript.pyannote[2173].speaker SPEAKER_19
transcript.pyannote[2173].start 17710.78221875
transcript.pyannote[2173].end 17714.20784375
transcript.pyannote[2174].speaker SPEAKER_19
transcript.pyannote[2174].start 17714.54534375
transcript.pyannote[2174].end 17715.00096875
transcript.pyannote[2175].speaker SPEAKER_08
transcript.pyannote[2175].start 17715.00096875
transcript.pyannote[2175].end 17715.18659375
transcript.pyannote[2176].speaker SPEAKER_19
transcript.pyannote[2176].start 17715.18659375
transcript.pyannote[2176].end 17715.22034375
transcript.pyannote[2177].speaker SPEAKER_08
transcript.pyannote[2177].start 17715.22034375
transcript.pyannote[2177].end 17715.28784375
transcript.pyannote[2178].speaker SPEAKER_19
transcript.pyannote[2178].start 17715.28784375
transcript.pyannote[2178].end 17715.33846875
transcript.pyannote[2179].speaker SPEAKER_19
transcript.pyannote[2179].start 17715.52409375
transcript.pyannote[2179].end 17715.54096875
transcript.pyannote[2180].speaker SPEAKER_08
transcript.pyannote[2180].start 17715.54096875
transcript.pyannote[2180].end 17715.59159375
transcript.pyannote[2181].speaker SPEAKER_05
transcript.pyannote[2181].start 17715.59159375
transcript.pyannote[2181].end 17715.65909375
transcript.pyannote[2182].speaker SPEAKER_08
transcript.pyannote[2182].start 17715.65909375
transcript.pyannote[2182].end 17715.70971875
transcript.pyannote[2183].speaker SPEAKER_05
transcript.pyannote[2183].start 17715.70971875
transcript.pyannote[2183].end 17715.76034375
transcript.pyannote[2184].speaker SPEAKER_08
transcript.pyannote[2184].start 17715.76034375
transcript.pyannote[2184].end 17715.82784375
transcript.pyannote[2185].speaker SPEAKER_05
transcript.pyannote[2185].start 17715.82784375
transcript.pyannote[2185].end 17715.94596875
transcript.pyannote[2186].speaker SPEAKER_08
transcript.pyannote[2186].start 17715.94596875
transcript.pyannote[2186].end 17716.36784375
transcript.pyannote[2187].speaker SPEAKER_05
transcript.pyannote[2187].start 17716.36784375
transcript.pyannote[2187].end 17716.40159375
transcript.pyannote[2188].speaker SPEAKER_05
transcript.pyannote[2188].start 17716.90784375
transcript.pyannote[2188].end 17717.92034375
transcript.pyannote[2189].speaker SPEAKER_05
transcript.pyannote[2189].start 17719.05096875
transcript.pyannote[2189].end 17720.43471875
transcript.pyannote[2190].speaker SPEAKER_05
transcript.pyannote[2190].start 17720.75534375
transcript.pyannote[2190].end 17725.75034375
transcript.pyannote[2191].speaker SPEAKER_05
transcript.pyannote[2191].start 17725.96971875
transcript.pyannote[2191].end 17734.37346875
transcript.pyannote[2192].speaker SPEAKER_05
transcript.pyannote[2192].start 17734.79534375
transcript.pyannote[2192].end 17755.21409375
transcript.pyannote[2193].speaker SPEAKER_05
transcript.pyannote[2193].start 17755.63596875
transcript.pyannote[2193].end 17773.30409375
transcript.pyannote[2194].speaker SPEAKER_16
transcript.pyannote[2194].start 17773.64159375
transcript.pyannote[2194].end 17774.06346875
transcript.pyannote[2195].speaker SPEAKER_08
transcript.pyannote[2195].start 17773.75971875
transcript.pyannote[2195].end 17773.77659375
transcript.pyannote[2196].speaker SPEAKER_05
transcript.pyannote[2196].start 17773.77659375
transcript.pyannote[2196].end 17774.55284375
transcript.pyannote[2197].speaker SPEAKER_05
transcript.pyannote[2197].start 17774.77221875
transcript.pyannote[2197].end 17774.97471875
transcript.pyannote[2198].speaker SPEAKER_08
transcript.pyannote[2198].start 17774.97471875
transcript.pyannote[2198].end 17777.47221875
transcript.pyannote[2199].speaker SPEAKER_08
transcript.pyannote[2199].start 17777.77596875
transcript.pyannote[2199].end 17781.50534375
transcript.pyannote[2200].speaker SPEAKER_08
transcript.pyannote[2200].start 17782.50096875
transcript.pyannote[2200].end 17785.53846875
transcript.pyannote[2201].speaker SPEAKER_08
transcript.pyannote[2201].start 17785.96034375
transcript.pyannote[2201].end 17786.92221875
transcript.pyannote[2202].speaker SPEAKER_08
transcript.pyannote[2202].start 17787.31034375
transcript.pyannote[2202].end 17793.03096875
transcript.pyannote[2203].speaker SPEAKER_08
transcript.pyannote[2203].start 17793.41909375
transcript.pyannote[2203].end 17797.58721875
transcript.pyannote[2204].speaker SPEAKER_08
transcript.pyannote[2204].start 17798.26221875
transcript.pyannote[2204].end 17799.69659375
transcript.pyannote[2205].speaker SPEAKER_08
transcript.pyannote[2205].start 17799.98346875
transcript.pyannote[2205].end 17801.70471875
transcript.pyannote[2206].speaker SPEAKER_08
transcript.pyannote[2206].start 17802.29534375
transcript.pyannote[2206].end 17806.10909375
transcript.pyannote[2207].speaker SPEAKER_08
transcript.pyannote[2207].start 17806.90221875
transcript.pyannote[2207].end 17807.89784375
transcript.pyannote[2208].speaker SPEAKER_08
transcript.pyannote[2208].start 17808.99471875
transcript.pyannote[2208].end 17809.36596875
transcript.pyannote[2209].speaker SPEAKER_08
transcript.pyannote[2209].start 17809.90596875
transcript.pyannote[2209].end 17813.06159375
transcript.pyannote[2210].speaker SPEAKER_08
transcript.pyannote[2210].start 17813.41596875
transcript.pyannote[2210].end 17814.68159375
transcript.pyannote[2211].speaker SPEAKER_08
transcript.pyannote[2211].start 17815.40721875
transcript.pyannote[2211].end 17816.74034375
transcript.pyannote[2212].speaker SPEAKER_08
transcript.pyannote[2212].start 17817.07784375
transcript.pyannote[2212].end 17817.66846875
transcript.pyannote[2213].speaker SPEAKER_08
transcript.pyannote[2213].start 17818.54596875
transcript.pyannote[2213].end 17819.27159375
transcript.pyannote[2214].speaker SPEAKER_08
transcript.pyannote[2214].start 17820.21659375
transcript.pyannote[2214].end 17820.75659375
transcript.pyannote[2215].speaker SPEAKER_06
transcript.pyannote[2215].start 17824.55346875
transcript.pyannote[2215].end 17838.96471875
transcript.pyannote[2216].speaker SPEAKER_11
transcript.pyannote[2216].start 17828.99159375
transcript.pyannote[2216].end 17830.39221875
transcript.pyannote[2217].speaker SPEAKER_00
transcript.pyannote[2217].start 17832.26534375
transcript.pyannote[2217].end 17832.68721875
transcript.pyannote[2218].speaker SPEAKER_08
transcript.pyannote[2218].start 17836.93971875
transcript.pyannote[2218].end 17837.12534375
transcript.pyannote[2219].speaker SPEAKER_08
transcript.pyannote[2219].start 17838.22221875
transcript.pyannote[2219].end 17838.77909375
transcript.pyannote[2220].speaker SPEAKER_08
transcript.pyannote[2220].start 17838.96471875
transcript.pyannote[2220].end 17847.04784375
transcript.pyannote[2221].speaker SPEAKER_06
transcript.pyannote[2221].start 17842.23846875
transcript.pyannote[2221].end 17842.52534375
transcript.pyannote[2222].speaker SPEAKER_08
transcript.pyannote[2222].start 17848.33034375
transcript.pyannote[2222].end 17858.82659375
transcript.pyannote[2223].speaker SPEAKER_16
transcript.pyannote[2223].start 17850.64221875
transcript.pyannote[2223].end 17851.03034375
transcript.pyannote[2224].speaker SPEAKER_16
transcript.pyannote[2224].start 17852.02596875
transcript.pyannote[2224].end 17852.48159375
transcript.pyannote[2225].speaker SPEAKER_16
transcript.pyannote[2225].start 17854.59096875
transcript.pyannote[2225].end 17854.92846875
transcript.pyannote[2226].speaker SPEAKER_08
transcript.pyannote[2226].start 17859.73784375
transcript.pyannote[2226].end 17869.37346875
transcript.pyannote[2227].speaker SPEAKER_04
transcript.pyannote[2227].start 17865.25596875
transcript.pyannote[2227].end 17865.64409375
transcript.pyannote[2228].speaker SPEAKER_04
transcript.pyannote[2228].start 17866.82534375
transcript.pyannote[2228].end 17867.28096875
transcript.pyannote[2229].speaker SPEAKER_08
transcript.pyannote[2229].start 17870.79096875
transcript.pyannote[2229].end 17882.33346875
transcript.pyannote[2230].speaker SPEAKER_16
transcript.pyannote[2230].start 17880.12284375
transcript.pyannote[2230].end 17881.05096875
transcript.pyannote[2231].speaker SPEAKER_16
transcript.pyannote[2231].start 17881.35471875
transcript.pyannote[2231].end 17882.24909375
transcript.pyannote[2232].speaker SPEAKER_16
transcript.pyannote[2232].start 17882.33346875
transcript.pyannote[2232].end 17882.45159375
transcript.pyannote[2233].speaker SPEAKER_08
transcript.pyannote[2233].start 17882.45159375
transcript.pyannote[2233].end 17882.48534375
transcript.pyannote[2234].speaker SPEAKER_16
transcript.pyannote[2234].start 17882.48534375
transcript.pyannote[2234].end 17883.04221875
transcript.pyannote[2235].speaker SPEAKER_08
transcript.pyannote[2235].start 17882.51909375
transcript.pyannote[2235].end 17888.25659375
transcript.pyannote[2236].speaker SPEAKER_03
transcript.pyannote[2236].start 17883.04221875
transcript.pyannote[2236].end 17883.05909375
transcript.pyannote[2237].speaker SPEAKER_08
transcript.pyannote[2237].start 17888.45909375
transcript.pyannote[2237].end 17910.86909375
transcript.pyannote[2238].speaker SPEAKER_16
transcript.pyannote[2238].start 17901.30096875
transcript.pyannote[2238].end 17902.65096875
transcript.pyannote[2239].speaker SPEAKER_16
transcript.pyannote[2239].start 17903.32596875
transcript.pyannote[2239].end 17904.76034375
transcript.pyannote[2240].speaker SPEAKER_03
transcript.pyannote[2240].start 17907.71346875
transcript.pyannote[2240].end 17908.60784375
transcript.pyannote[2241].speaker SPEAKER_08
transcript.pyannote[2241].start 17911.32471875
transcript.pyannote[2241].end 17924.72346875
transcript.pyannote[2242].speaker SPEAKER_03
transcript.pyannote[2242].start 17912.53971875
transcript.pyannote[2242].end 17912.74221875
transcript.pyannote[2243].speaker SPEAKER_04
transcript.pyannote[2243].start 17912.74221875
transcript.pyannote[2243].end 17913.36659375
transcript.pyannote[2244].speaker SPEAKER_03
transcript.pyannote[2244].start 17913.36659375
transcript.pyannote[2244].end 17913.55221875
transcript.pyannote[2245].speaker SPEAKER_03
transcript.pyannote[2245].start 17913.87284375
transcript.pyannote[2245].end 17913.88971875
transcript.pyannote[2246].speaker SPEAKER_04
transcript.pyannote[2246].start 17913.88971875
transcript.pyannote[2246].end 17915.83034375
transcript.pyannote[2247].speaker SPEAKER_08
transcript.pyannote[2247].start 17925.55034375
transcript.pyannote[2247].end 17936.45159375
transcript.pyannote[2248].speaker SPEAKER_02
transcript.pyannote[2248].start 17927.94659375
transcript.pyannote[2248].end 17928.41909375
transcript.pyannote[2249].speaker SPEAKER_00
transcript.pyannote[2249].start 17928.41909375
transcript.pyannote[2249].end 17928.48659375
transcript.pyannote[2250].speaker SPEAKER_00
transcript.pyannote[2250].start 17930.34284375
transcript.pyannote[2250].end 17930.35971875
transcript.pyannote[2251].speaker SPEAKER_04
transcript.pyannote[2251].start 17930.35971875
transcript.pyannote[2251].end 17931.03471875
transcript.pyannote[2252].speaker SPEAKER_16
transcript.pyannote[2252].start 17931.03471875
transcript.pyannote[2252].end 17931.33846875
transcript.pyannote[2253].speaker SPEAKER_04
transcript.pyannote[2253].start 17931.33846875
transcript.pyannote[2253].end 17931.42284375
transcript.pyannote[2254].speaker SPEAKER_04
transcript.pyannote[2254].start 17934.39284375
transcript.pyannote[2254].end 17934.49409375
transcript.pyannote[2255].speaker SPEAKER_16
transcript.pyannote[2255].start 17934.49409375
transcript.pyannote[2255].end 17934.51096875
transcript.pyannote[2256].speaker SPEAKER_08
transcript.pyannote[2256].start 17937.43034375
transcript.pyannote[2256].end 17939.33721875
transcript.pyannote[2257].speaker SPEAKER_08
transcript.pyannote[2257].start 17939.74221875
transcript.pyannote[2257].end 17944.99034375
transcript.pyannote[2258].speaker SPEAKER_08
transcript.pyannote[2258].start 17946.03659375
transcript.pyannote[2258].end 17971.07909375
transcript.pyannote[2259].speaker SPEAKER_04
transcript.pyannote[2259].start 17951.21721875
transcript.pyannote[2259].end 17951.82471875
transcript.pyannote[2260].speaker SPEAKER_04
transcript.pyannote[2260].start 17952.60096875
transcript.pyannote[2260].end 17952.98909375
transcript.pyannote[2261].speaker SPEAKER_00
transcript.pyannote[2261].start 17952.98909375
transcript.pyannote[2261].end 17953.02284375
transcript.pyannote[2262].speaker SPEAKER_00
transcript.pyannote[2262].start 17960.63346875
transcript.pyannote[2262].end 17961.51096875
transcript.pyannote[2263].speaker SPEAKER_00
transcript.pyannote[2263].start 17962.77659375
transcript.pyannote[2263].end 17964.04221875
transcript.pyannote[2264].speaker SPEAKER_06
transcript.pyannote[2264].start 17966.33721875
transcript.pyannote[2264].end 17966.35409375
transcript.pyannote[2265].speaker SPEAKER_04
transcript.pyannote[2265].start 17966.35409375
transcript.pyannote[2265].end 17967.21471875
transcript.pyannote[2266].speaker SPEAKER_06
transcript.pyannote[2266].start 17967.21471875
transcript.pyannote[2266].end 17967.26534375
transcript.pyannote[2267].speaker SPEAKER_00
transcript.pyannote[2267].start 17967.26534375
transcript.pyannote[2267].end 17967.51846875
transcript.pyannote[2268].speaker SPEAKER_00
transcript.pyannote[2268].start 17968.02471875
transcript.pyannote[2268].end 17968.09221875
transcript.pyannote[2269].speaker SPEAKER_06
transcript.pyannote[2269].start 17968.09221875
transcript.pyannote[2269].end 17968.15971875
transcript.pyannote[2270].speaker SPEAKER_04
transcript.pyannote[2270].start 17968.15971875
transcript.pyannote[2270].end 17968.58159375
transcript.pyannote[2271].speaker SPEAKER_06
transcript.pyannote[2271].start 17968.58159375
transcript.pyannote[2271].end 17968.61534375
transcript.pyannote[2272].speaker SPEAKER_08
transcript.pyannote[2272].start 17974.57221875
transcript.pyannote[2272].end 17977.13721875
transcript.pyannote[2273].speaker SPEAKER_08
transcript.pyannote[2273].start 17992.35846875
transcript.pyannote[2273].end 17992.88159375
transcript.pyannote[2274].speaker SPEAKER_08
transcript.pyannote[2274].start 17994.04596875
transcript.pyannote[2274].end 17997.62346875
transcript.pyannote[2275].speaker SPEAKER_08
transcript.pyannote[2275].start 17998.31534375
transcript.pyannote[2275].end 18000.69471875
transcript.pyannote[2276].speaker SPEAKER_08
transcript.pyannote[2276].start 18000.99846875
transcript.pyannote[2276].end 18004.82909375
transcript.pyannote[2277].speaker SPEAKER_08
transcript.pyannote[2277].start 18005.48721875
transcript.pyannote[2277].end 18012.25409375
transcript.pyannote[2278].speaker SPEAKER_08
transcript.pyannote[2278].start 18012.60846875
transcript.pyannote[2278].end 18016.89471875
transcript.pyannote[2279].speaker SPEAKER_08
transcript.pyannote[2279].start 18017.40096875
transcript.pyannote[2279].end 18020.18534375
transcript.pyannote[2280].speaker SPEAKER_08
transcript.pyannote[2280].start 18020.77596875
transcript.pyannote[2280].end 18025.50096875
transcript.pyannote[2281].speaker SPEAKER_08
transcript.pyannote[2281].start 18025.95659375
transcript.pyannote[2281].end 18030.47909375
transcript.pyannote[2282].speaker SPEAKER_08
transcript.pyannote[2282].start 18031.15409375
transcript.pyannote[2282].end 18031.62659375
transcript.pyannote[2283].speaker SPEAKER_08
transcript.pyannote[2283].start 18032.28471875
transcript.pyannote[2283].end 18035.62596875
transcript.pyannote[2284].speaker SPEAKER_08
transcript.pyannote[2284].start 18035.96346875
transcript.pyannote[2284].end 18037.31346875
transcript.pyannote[2285].speaker SPEAKER_08
transcript.pyannote[2285].start 18037.87034375
transcript.pyannote[2285].end 18039.30471875
transcript.pyannote[2286].speaker SPEAKER_08
transcript.pyannote[2286].start 18039.70971875
transcript.pyannote[2286].end 18041.17784375
transcript.pyannote[2287].speaker SPEAKER_08
transcript.pyannote[2287].start 18041.97096875
transcript.pyannote[2287].end 18047.65784375
transcript.pyannote[2288].speaker SPEAKER_08
transcript.pyannote[2288].start 18048.60284375
transcript.pyannote[2288].end 18052.21409375
transcript.pyannote[2289].speaker SPEAKER_08
transcript.pyannote[2289].start 18052.85534375
transcript.pyannote[2289].end 18056.73659375
transcript.pyannote[2290].speaker SPEAKER_08
transcript.pyannote[2290].start 18057.27659375
transcript.pyannote[2290].end 18057.78284375
transcript.whisperx[0].start 1864.584
transcript.whisperx[0].end 1875.89
transcript.whisperx[0].text 抱歉我請教一下有沒有同仁可以掌握一下至少掌握一下說召委什麼時候到還是部長什麼時候到那我們什麼時候回來總不能讓我們在這邊哭等吧祖密說首先召委打不通那這樣諧詢召委
transcript.whisperx[1].start 1893.185
transcript.whisperx[1].end 1913.551
transcript.whisperx[1].text 民進黨團的助理有在嗎好不好不然還是協助這個沒有任何高鐵霧點都遇到了我們也就面對那不分黨派但是我至少我們確認一下什麼時候到那也許官員可以趕快先去做一些即時性的處理或是辦公嘛那我們就看什麼時候開會我們確定一下吧好不好
transcript.whisperx[2].start 1930.448
transcript.whisperx[2].end 1931.468
transcript.whisperx[2].text 對 或是我們就確定一個時間嘛
transcript.whisperx[3].start 1955.087
transcript.whisperx[3].end 1955.107
transcript.whisperx[3].text 對 因為
transcript.whisperx[4].start 1972.083
transcript.whisperx[4].end 1978.487
transcript.whisperx[4].text 你台中其實台鐵比較方便,你不用去做就對了喔,假凍喔,你賣苦瓜
transcript.whisperx[5].start 1998.806
transcript.whisperx[5].end 1999.366
transcript.whisperx[5].text 大壽司
transcript.whisperx[6].start 2028.336
transcript.whisperx[6].end 2030.217
transcript.whisperx[6].text 謝謝大家
transcript.whisperx[7].start 2068.545
transcript.whisperx[7].end 2082.788
transcript.whisperx[7].text 你也是在...在郡縣比較多的地方給黃縣豪然後...看電視說幾層高吧?他們訊號不通喔,每天訊號頓頓訊訊我為大家提供訊號都沒有訊號
transcript.whisperx[8].start 2105.862
transcript.whisperx[8].end 2110.404
transcript.whisperx[8].text 我們確定我們交通委員會委員人數夠不夠可以開會
transcript.whisperx[9].start 2117.748
transcript.whisperx[9].end 2127.219
transcript.whisperx[9].text 三個嗎?沒有啊,家裡四個了吧?四個,四個而已餒,四個可以才會嗎?等會會,四個會等會,等你公仔來啦對啦,要五個啊,五個啊你也要快點啦
transcript.whisperx[10].start 2165.859
transcript.whisperx[10].end 2181.305
transcript.whisperx[10].text 因為我們這邊沒有辦法開貓床那上面有開貓床嗎?有外交國防床喔有喔,OK,那這樣子就是整個溫泉園的產品上來吧那鄰居先進去先進去,稍微自己進去,對對對所以稍微再偷看
transcript.whisperx[11].start 2191.138
transcript.whisperx[11].end 2193.959
transcript.whisperx[11].text 謝謝大家。
transcript.whisperx[12].start 2236.739
transcript.whisperx[12].end 2245.847
transcript.whisperx[12].text 好 謝謝大家
transcript.whisperx[13].start 2263.488
transcript.whisperx[13].end 2268.053
transcript.whisperx[13].text 谢谢大家
transcript.whisperx[14].start 2295.558
transcript.whisperx[14].end 2296.041
transcript.whisperx[14].text 好 謝謝大家
transcript.whisperx[15].start 2324.721
transcript.whisperx[15].end 2324.883
transcript.whisperx[15].text 好痛喔
transcript.whisperx[16].start 2365.944
transcript.whisperx[16].end 2365.984
transcript.whisperx[16].text 哦哦
transcript.whisperx[17].start 2390.984
transcript.whisperx[17].end 2395.252
transcript.whisperx[17].text 好 初期委員與打法定人數 我們現在開會請議事人員先宣讀上次會議議事錄
transcript.whisperx[18].start 2397.267
transcript.whisperx[18].end 2424.12
transcript.whisperx[18].text 立法院第十一屆第五會期交通委員會第十四次全體委員會議事錄時間中華民國一百一十五年五月二十日星期三上午九時二分至時時三十四分地點本院紅樓二零一會議室出席委員洪孟凱等十二人列席委員鍾嘉斌等六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次長林國賢等主席林交集委員郡縣
transcript.whisperx[19].start 2425.76
transcript.whisperx[19].end 2446.77
transcript.whisperx[19].text 報告事項宣讀上次會議議事錄決定議事錄確定討論事項一二繼續審查一百一十五年度中政府總預算案關於行政院公共工程委員會交通部運輸研究所單位預算決議一本日預算審查結果照協商結論通過二本日通過之決議文字授權主席及議事人員調整
transcript.whisperx[20].start 2448.793
transcript.whisperx[20].end 2468.503
transcript.whisperx[20].text 3.第一案及第二案均審查完並內容如審查結果行政院公共工程委員會單位預算因稅入部分第二款第21項照列第三款第13項照列第四款第22項照列第七款第22項照列二稅出部分第二款第18項照列本項通過決議26項交通部運輸
transcript.whisperx[21].start 2471.664
transcript.whisperx[21].end 2473.946
transcript.whisperx[21].text 好 請問各位委員對議事錄有沒有意見沒有意見喔 好那議事錄確定那我們現在先介紹在場委員 首先李昆哲委員
transcript.whisperx[22].start 2504.943
transcript.whisperx[22].end 2531.526
transcript.whisperx[22].text 侯孟楷委員陳青龍委員邱若華委員我們介紹在場的列席官員交通部常務次長林國賢次長交通部快遞處黃宏文處長中央氣象署署長呂國成氣象署主計事主任張立挺
transcript.whisperx[23].start 2535.168
transcript.whisperx[23].end 2550.215
transcript.whisperx[23].text 行政院主席總署公務預算處專委曾益聖行政院主席總署基金預算處科長李正道好
transcript.whisperx[24].start 2552.659
transcript.whisperx[24].end 2577.744
transcript.whisperx[24].text 我跟委員會報告 因為我想這個本來今天應該是據縣召委來召開當然因為它是這個交通的狀況所以我先暫待它那我們一樣程序繼續進行現在請討論四項115年度交通部中央氣象署 觀光署及所屬 公路局及所屬 航港局單位預算直轄市及縣市政府一般性補助款交通部主管的第四目觀光署及所屬第二目公路局及所屬 第三目航港局
transcript.whisperx[25].start 2578.444
transcript.whisperx[25].end 2598.762
transcript.whisperx[25].text 航港建設基金非營業預算及台灣港務股份有限公司營業預算的處理那麼現在進行協商總之請議事人員先宣讀預算數及委員提案那我們接下來協商請我們崑澤委員協助主持謝謝
transcript.whisperx[26].start 2620.744
transcript.whisperx[26].end 2631.454
transcript.whisperx[26].text 謝謝黃建豪、趙偉我們就今天要進行我們相關的七項署第一個來進行相關的預算審核
transcript.whisperx[27].start 2632.972
transcript.whisperx[27].end 2649.269
transcript.whisperx[27].text 那今天因為高鐵的延誤,造成部長及民進縣召委交通的延誤那針對會議的進行,我先請教一下交通部目前高鐵延誤的狀況如何?清不清楚?
transcript.whisperx[28].start 2650.37
transcript.whisperx[28].end 2671.137
transcript.whisperx[28].text 包括因為House故障所以高鐵宣布8點開始從南港往左營跟左營往台北方向都改為全車自由坐除了商務艙以外同步我們也已經成立應變中心一起在高鐵台鐵的運氣聯防我們成立二級應變中心開啟相關的接駁
transcript.whisperx[29].start 2673.678
transcript.whisperx[29].end 2697.759
transcript.whisperx[29].text 那第三個呢我們也對外說明這個退票改票以及相關的規定那整個列車的可能今天的運轉都會用一個小時三班20、40跟整點對開的方式來運作那要到晚上才能夠做整體的巡檢到晚上看相關的班次能不能正常
transcript.whisperx[30].start 2700.5
transcript.whisperx[30].end 2715.607
transcript.whisperx[30].text 這個影響非常大高鐵現在每天的平均搭乘人次是高達24萬人次在重要的假日甚至每天平均搭乘人次是衝破30萬人次
transcript.whisperx[31].start 2717.328
transcript.whisperx[31].end 2736.176
transcript.whisperx[31].text 這不只是交通委員會我們開會受到延誤更是每一位國人在交通造成不管是工作、生活、上課等等重大的影響跟衝擊那我必須要提醒交通部我們在2024年這樣的行車異常
transcript.whisperx[32].start 2739.838
transcript.whisperx[32].end 2754.514
transcript.whisperx[32].text 大概有25件到2025年已經提升到43件那今年到現在為止也發生了多次的相關的延誤比較嚴重的在5月25也發生過一次那
transcript.whisperx[33].start 2755.655
transcript.whisperx[33].end 2771.086
transcript.whisperx[33].text 相關的這樣的一個延誤跟影響必須要儘早的一個改善好那是來請侯孟愷委員來 次長我想兩個部分這應該也算是程序發言就是說第一
transcript.whisperx[34].start 2771.866
transcript.whisperx[34].end 2791.883
transcript.whisperx[34].text 高鐵今天的這個耗資異常我剛查了一下歷史真的算是高鐵這個近年來很少的一個狀況那但是料敵從寬因為剛剛昭偉有提到一個這個期待就是說是不是要晚上能夠好可是就我們現在的理解可能你也沒有辦法讓高鐵
transcript.whisperx[35].start 2792.663
transcript.whisperx[35].end 2812.804
transcript.whisperx[35].text 停下來做全面的一個搶修也因此有可能是不是要再說明清楚一點有可能今天一整天都沒有辦法正常的對號車次而是採取您剛所提到的現在的南下北上都是每小時三班的全車自由坐
transcript.whisperx[36].start 2813.385
transcript.whisperx[36].end 2838.26
transcript.whisperx[36].text 那我覺得因為面對遇到已經遇到了我覺得對於現在譬如說中午下午晚上可能有買高鐵的乘客你也要預先讓他們知道他們面臨到什麼樣的狀況我覺得該適時的預告要預告讓今天下午晚上的民眾如果說他買了對號座他可能要了解他面臨到的情況他要提前到車站那有可能這樣的一個狀況是要到
transcript.whisperx[37].start 2843.126
transcript.whisperx[37].end 2857.808
transcript.whisperx[37].text 今天晚上明天才有可能排除是不是還是說有辦法搶修在今天多少點以前可以恢復正常我覺得這要讓民眾適時的了解以便做他行程的安排跟因應次長是不是再說明一下是 謝謝委員
transcript.whisperx[38].start 2860.429
transcript.whisperx[38].end 2876.514
transcript.whisperx[38].text 我們是早上宣布八點以後今天白天按照剛剛說明一小時三班的方式二十四時跟整點從南港跟左營互開商務艙除外其他的都全車自由坐
transcript.whisperx[39].start 2877.835
transcript.whisperx[39].end 2899.973
transcript.whisperx[39].text 高鐵公司我剛剛報告成立應變中心以及應變中心也對外宣布所有的退改票規定5點30到60分鐘退50%的票一個小時以上的就全退一年內可以去退改票所以目前這個已經對外先說明但是我們現在有通報雲安會跟部里
transcript.whisperx[40].start 2900.853
transcript.whisperx[40].end 2924.05
transcript.whisperx[40].text 鐵道局正在全力查查相關的原因如果能夠及時修復那也會提早跟大家來說明但是目前因為剛剛委員提的確實是降維運作而且也無法全停來維修所以目前預計是先用白天先用這樣的方式運作那如果我們提早作業完成我們就會提早公佈恢復正常以上說明
transcript.whisperx[41].start 2927.492
transcript.whisperx[41].end 2953.113
transcript.whisperx[41].text 主席謝謝我想我是補充程序說明我想今天這事件讓很多民眾早上的行程被打亂了包含說連委員跟部長都受到影響那其實我們利用這個機會也希望次長叮嚀一下高鐵公司的部分像這種資訊的串流像我們的手機APP或是我們的手機簡訊都沒有收到相關通知這個理論上它擁有我們所有客戶的資料它應該是可以提早通知大家
transcript.whisperx[42].start 2953.393
transcript.whisperx[42].end 2976.894
transcript.whisperx[42].text 那另外是退票的問題其實剛剛民眾有服務所傳來有幾個陳情案如果要退票的話他目前還沒辦法透過手機透過這種資訊軟體去退票他必須排隊退票那排隊退票一個人就根據我陳情的這個部分他們大概一個人要七分鐘八分鐘填寫現場資料他才能夠成功退票所以我覺得遇到這種狀況我覺得高鐵公司的這個緊急應變能力還是要加強一下以上 謝謝
transcript.whisperx[43].start 2979.076
transcript.whisperx[43].end 2996.003
transcript.whisperx[43].text 非常謝謝委員提醒退票是一年內都可以辦理所以請觀眾也不用急著今天就辦理那電子這個APP的部分因為可能目前狀況比較大但是我們在那個高鐵的那個叫什麼app是吧
transcript.whisperx[44].start 2996.483
transcript.whisperx[44].end 3001.069
transcript.whisperx[44].text 上面TEX上面應該有推播相關的訊息謝謝委員提醒我們會再對外說明提醒高鐵對外說明
transcript.whisperx[45].start 3012.702
transcript.whisperx[45].end 3032.015
transcript.whisperx[45].text 好那因為交通委員會有多位委員以及部長現在都延誤在高鐵相關的因為訊號異常所造成的延誤那我要休息五分鐘請各黨團助理確認相關委員交通的狀況我們再來決定開會的時間現在休息請問一下各個委員交通的狀況
transcript.whisperx[46].start 3050.947
transcript.whisperx[46].end 3051.107
transcript.whisperx[46].text 剪刀剝皮
transcript.whisperx[47].start 3377.523
transcript.whisperx[47].end 3377.543
transcript.whisperx[47].text 9點50的
transcript.whisperx[48].start 3383.772
transcript.whisperx[48].end 3411.112
transcript.whisperx[48].text 好 委員大概都在10點之後才會陸續的到達好 我們現在正式開會我來做以下的宣告那因為高鐵訊號一場造成延誤不但造成國人的日常生活的影響跟衝擊也影響到交通委員會部長及委員
transcript.whisperx[49].start 3412.613
transcript.whisperx[49].end 3427.465
transcript.whisperx[49].text 開會的時程那相關的委員都在10點之後才能陸續的到達我們現在就休息到10點15分之後繼續開會休息
transcript.whisperx[50].start 6254.31
transcript.whisperx[50].end 6262.325
transcript.whisperx[50].text 剪刀剪刀
transcript.whisperx[51].start 6310.792
transcript.whisperx[51].end 6325.404
transcript.whisperx[51].text 好好好
transcript.whisperx[52].start 6335.162
transcript.whisperx[52].end 6351.067
transcript.whisperx[52].text 響鐘
transcript.whisperx[53].start 6378.558
transcript.whisperx[53].end 6387.944
transcript.whisperx[53].text 響鐘
transcript.whisperx[54].start 6410.077
transcript.whisperx[54].end 6410.898
transcript.whisperx[54].text 謝謝大家,下次見
transcript.whisperx[55].start 6457.06
transcript.whisperx[55].end 6460.103
transcript.whisperx[55].text 哈哈哈哈哈哈
transcript.whisperx[56].start 6489.863
transcript.whisperx[56].end 6507.049
transcript.whisperx[56].text 各位委員辛苦大家我們現在就開始進行今天的會議我們先來審查交通部氣象署氣象署的單位預算來
transcript.whisperx[57].start 6511.929
transcript.whisperx[57].end 6526.847
transcript.whisperx[57].text 好 各位委員氣象署的單位預算我們先看第一到二十五案我們併案處理各位委員有沒有意見中央氣象署的一到二十五案
transcript.whisperx[58].start 6533.243
transcript.whisperx[58].end 6558.633
transcript.whisperx[58].text 好 李分子委員第24案有關於交通部氣象署在第一幕氣象科技研究發展的第三節相關的精進氣象雷達與災防的預警那它的預算是編列了3億3965萬那當然它的用途包括
transcript.whisperx[59].start 6560.127
transcript.whisperx[59].end 6587.966
transcript.whisperx[59].text 強化雷達的服務的韌性以及拓展防災風險的知識傳播等等其實我們都知道國人防災的意識仍然是不足以地震為例中研院的研究報告也指出我國民眾在地震發生的當下確實還有很多人沒有確實的應變措施
transcript.whisperx[60].start 6590.127
transcript.whisperx[60].end 6613.614
transcript.whisperx[60].text 其中感覺不需要應變的有高達49.8%僅有8.3%的民眾採用以政府宣導的方式來保護自己那氣象署針對地震災害性的天氣要加強宣導的這個部分必須要提出妥善的一個規劃
transcript.whisperx[61].start 6615.094
transcript.whisperx[61].end 6637.07
transcript.whisperx[61].text 那我提議凍結預算100萬在一個月內應該要提出如何加長宣導地震災害性天災等災害應變措施向立法院交通委員會提出說明報告後解凍以上好 謝謝各位還有意見嗎沒有 我們請氣象署來說明
transcript.whisperx[62].start 6640.712
transcript.whisperx[62].end 6659.425
transcript.whisperx[62].text 好的委員好的確是在極端氣候之下複合性的災害越來越多像去年丹納斯颱風登陸中南部的時候其實產生了這種強風是很多人都沒經歷過的所以不同的災種跟不同的宣導方式氣象署會在這個地方持續的在加強
transcript.whisperx[63].start 6660.325
transcript.whisperx[63].end 6676.314
transcript.whisperx[63].text 那同時我們也會跟相關的一些防災的一些部會就譬如說水利署或者是水保署土石的這一塊甚至地震的這一部分也跟消防署這邊來合作來做從
transcript.whisperx[64].start 6679.036
transcript.whisperx[64].end 6700.162
transcript.whisperx[64].text 地震氣象災害的威脅一直連貫到最後的一里路那我們也會透過我們的官網還有我們的APP還有我們的粉絲團去推播這一些災害來的訊息即使能讓民眾能夠有所因應那這一方面氣象署會在這個地方會做一個更完整的規劃跟委員報告 謝謝
transcript.whisperx[65].start 6702.803
transcript.whisperx[65].end 6719.88
transcript.whisperx[65].text 好 謝謝各位委員還有意見嗎好 魯明哲委員來 謝謝主席因為我提案有三個案子那我針對前兩個案子來做一個補充說明首先是第六案的一個部分這份我們特別看到啦那就能延續之前計畫新開創一個六年的計畫但總經費不低啊
transcript.whisperx[66].start 6724.364
transcript.whisperx[66].end 6730.987
transcript.whisperx[66].text 大概22.5億今年編了3.25億那這個部分請你們要稍微說明一下這樣的預算當然龐大對於我們整個的一個數位治理跟創新計畫它主要的
transcript.whisperx[67].start 6741.152
transcript.whisperx[67].end 6759.357
transcript.whisperx[67].text 硬體軟體的一個設計的一個到底具體內容是什麼你預期的目標跟效益什麼時候可以達到那有沒有什麼涉及其他中央部會地方政府同樣在編列這個預算我這邊提示凍結10%主要是希望你做一個清楚的一個說明
transcript.whisperx[68].start 6760.197
transcript.whisperx[68].end 6788.851
transcript.whisperx[68].text 那接下來是第14案14案部分你今年編了3270萬元那這個計畫其實上我們之前有提過了最主要是一直過去流標了12次流標廢標所以我們在提案的114年預算當時我們有提出說到底這個是不是要刪減或整個凍結當時有委員覺得說非常需要那這樣整個一年之後
transcript.whisperx[69].start 6789.471
transcript.whisperx[69].end 6814.992
transcript.whisperx[69].text 你們到底飆得出去 飆不出去到底困難點在哪裡所以我這案也提凍結10% 以上說明好 謝謝盧委員請徐副委員謝謝主席 我提出第一案跟第二案那第二個案子是針對我們台灣南部地區這個地震跟海嘯的一個海嶺監測系統的建置計畫
transcript.whisperx[70].start 6816.653
transcript.whisperx[70].end 6835.825
transcript.whisperx[70].text 那這個也是經過多次流標那氣象署有多次修正但是因為我們發現這個修正之後是不是跟原本的規劃有一個很顯著的一個差異那到底會不會影響到我們科研的一個效益跟延宕一個防災的一個建置所以我想氣象署應該審慎減少這樣的一個計畫架構所以我提出凍結兩千萬那經過溝通改凍結五百萬提出書面報告 使得凍資
transcript.whisperx[71].start 6845.071
transcript.whisperx[71].end 6861.217
transcript.whisperx[71].text 那第二案是針對因為我們有進入現在極端氣候那農業部在辦理農損認定的時候仍然高度仰賴我們氣象署現有的氣象觀測站的一個數據資料那作為一個是不是啟動免性開運機制的一個重要的一個依據
transcript.whisperx[72].start 6862.037
transcript.whisperx[72].end 6882.102
transcript.whisperx[72].text 那但是因為我們現在我們很多的一個農業縣我們的氣象觀測站的密度明顯不足尤其像屏東縣我們的服務員遼闊那氣象的差異很大那尤其遇到局部的一個強降雨的時候恐造成一個區域性的一個災害那現有的觀測資料也沒辦法呈現實際上一個農損的一個情形
transcript.whisperx[73].start 6883.422
transcript.whisperx[73].end 6902.76
transcript.whisperx[73].text 我想對於我們農民的權益影響甚具所以我想這部分我們一樣提出凍結一千萬那希望氣象署能夠盡快的建置更多的一個氣象觀測站作為未來這個農民的一個氣象一個精準的資訊那也降低我們天然災害帶來的一個衝擊好 謝謝
transcript.whisperx[74].start 6904.562
transcript.whisperx[74].end 6933.491
transcript.whisperx[74].text 好 謝謝 請就委員謝謝召委 本期題目是第三案同樣的這項氣象科技研究我題目是凍結10%那主要是因為這個計畫執行很多年了可是就因為招標不順還有物價上漲也也是多次流標進度嚴重落後預算也一直追加那尤其是這個原本規劃海嵐的長度約800公里那後來說減到200公里等於監測範圍大幅縮水可能會影響全台地震還有海嘯早期的預警能力
transcript.whisperx[75].start 6934.071
transcript.whisperx[75].end 6946.403
transcript.whisperx[75].text 所以這邊也希望氣象署能夠提出報告要包括要有流標的原因還有計畫縮減影響還有預警能力的它的效能差異那這邊以上補充
transcript.whisperx[76].start 6947.853
transcript.whisperx[76].end 6965.758
transcript.whisperx[76].text 好謝謝請黃建豪召委好謝謝召委那個我是提8跟11跟20案那第8案其實它整個經費第三期的計畫比第二期的計畫增幅達到52.49%那它到底是原因在哪裡因為其實我們之前談過其實對氣象組我們當然支持說我們選用很好的科技
transcript.whisperx[77].start 6966.378
transcript.whisperx[77].end 6984.468
transcript.whisperx[77].text 能夠提升整體的氣象預準的精度但是這個第二期計畫跟第二期計畫差別差了這麼多錢那到底是錢花在什麼樣的地方政府達到52.49%的原因在哪裡那再來就是說第11案也是類似的概念就是你們要買這個超級電腦沒有問題但是為什麼這個計畫在去年的時候到2025年大約的實現率有13.36%
transcript.whisperx[78].start 6991.232
transcript.whisperx[78].end 7017.933
transcript.whisperx[78].text 那這個資訊這麼低的情況之下後面第七代又要繼續再把錢追加上去這部分肯定要請你們說明清楚然後二十案的部分也是在預算也是在那個經費執行率上也是一樣的問題喔前面的流標這麼多次那後面又提新的計畫那前面的部分解決了沒那如果後面我現在錢又給你了會不會又繼續流標不要把它偵測到相關我們需要知道海嘯預警系統等等這部分可能也要請一併的說明以上謝謝
transcript.whisperx[79].start 7019.195
transcript.whisperx[79].end 7045.242
transcript.whisperx[79].text 好 感謝 我們請交通部的說明 氣象署委員好 那綜合委員的提問那我們氣象署這邊做整體來框幾個面向來跟委員報告還有委員提到的一些相關的一些像農業站等等的這些資料我待會我一定來回答
transcript.whisperx[80].start 7045.882
transcript.whisperx[80].end 7066.167
transcript.whisperx[80].text 那有關於委員普遍都有關心的台灣南部海域地震海嘯海嵐監測及建設計畫這支計畫過去流標了12次那在整個台灣的海域地震海嘯監測部分的話我們目前有的就是東部的海嵐已經完成了三期
transcript.whisperx[81].start 7066.787
transcript.whisperx[81].end 7085.645
transcript.whisperx[81].text 那目前游标12次的主要是第四期海岸那因为我们在110年提出来这个计划的时候呢正好碰到COVID-19同时之后物价的飙涨那接续之后呢南海中国飞域边的情势紧张也造成了多次的延诞那这一些
transcript.whisperx[82].start 7087.346
transcript.whisperx[82].end 7111.462
transcript.whisperx[82].text 國際情勢的變化實在是有很多不可抗力的因素在裡面不過氣象署還是認為在台灣南海馬尼拉海溝的地震對我們南台灣的地震跟海嘯都有威脅所以氣象署持續的提供提出了第三次的修正計畫那期待呢在未來能夠把這個海嵐能夠建構起來
transcript.whisperx[83].start 7112.182
transcript.whisperx[83].end 7131.052
transcript.whisperx[83].text 那過去一兩年期間呢 信向許還是持續的在跟國外跟國內的潛在廠商去做投標意願的徵詢那同時呢 我們也在設計細節部分做了一些修正我們原來是用節點式的一個監測儀不過這個監測儀節點式的相對來講比較昂貴
transcript.whisperx[84].start 7135.814
transcript.whisperx[84].end 7152.234
transcript.whisperx[84].text 後來我們就跟相關的一些潛在廠商談有沒有一些新的技術可以導入那我們目前呢規劃的修正計畫裡面我們是設定了它是用嵌入式的系統同時呢它具有可擴充可延長能夠呢
transcript.whisperx[85].start 7154.056
transcript.whisperx[85].end 7173.116
transcript.whisperx[85].text 及時的提供地震效益可以到達14秒的預警海嘯到達30分鐘的運行那如果說我們可以配合我們的防災體系快速的應變以及防災訓練等等可以讓海欖的確是可以發揮中效那目前呢我們
transcript.whisperx[86].start 7174.517
transcript.whisperx[86].end 7189.727
transcript.whisperx[86].text 就目前進行的進度來看已經在台銀進行公告的程序了預計6月初就可以完成公告做完招標的順順程序如果這樣子的話我們有機會在今年的第三季第四季就可以完成決標
transcript.whisperx[87].start 7191.429
transcript.whisperx[87].end 7208.349
transcript.whisperx[87].text 在潛在廠商部分的話我們目前已經有潛在廠商有醫院投標同時基本上也獲得初步市場的規格跟價格的評估所以我們對這個案子目前的執行情況還是以樂觀的情況來看
transcript.whisperx[88].start 7210.572
transcript.whisperx[88].end 7222.947
transcript.whisperx[88].text 所以請委員能夠支持氣象署在完成這件事情的最後一哩度那氣象署也會持續的努力希望說這個案子能夠順利來達成那委員也有提到說
transcript.whisperx[89].start 7224.427
transcript.whisperx[89].end 7247.272
transcript.whisperx[89].text 氣象署在新興計畫在今年度有編列比較多的預算在115年編列了3億2500萬那這個預算主要是氣象署長年以來在推動氣象預報還有監測還有對外服務的一個貫穿性的系統建置系統那目前已經進入到做到第七期
transcript.whisperx[90].start 7248.092
transcript.whisperx[90].end 7263.772
transcript.whisperx[90].text 那這個預算主要是要結合氣象署的資料以及氣象署的中間的資訊系統服務那同時也會把這個服務透過最後一路傳送給民眾那這件事情
transcript.whisperx[91].start 7265.114
transcript.whisperx[91].end 7284.466
transcript.whisperx[91].text 最近幾年也發生了一些轉變在AI的模型發展之下我們現在也正在優化我們的AI的系統希望說這個計畫在完成的時候可以讓我們現在天氣預報服務以2.5公里的網格將來能夠進化到1公里的網格
transcript.whisperx[92].start 7285.006
transcript.whisperx[92].end 7297.171
transcript.whisperx[92].text 那現在的預報目前大概是以三小時更新的逐時預報我們會把它變成每小時更新所以期待將來我們的預報跟預警能力能夠透過這個計畫來貫穿氣象署的監測
transcript.whisperx[93].start 7300.612
transcript.whisperx[93].end 7326.377
transcript.whisperx[93].text 還有高速電腦AI的賦能同時把最後一爐對外服務能夠做得更好這個是這個計畫主要的工作項目那同時呢我們在做這一些過程裡面我們在AI部分在氣象應用其實過去幾年除了說我們在用的大型語言模型之外在氣象應用其實進步還蠻多的以過去我們第六代的系統主要呢
transcript.whisperx[94].start 7327.057
transcript.whisperx[94].end 7352.889
transcript.whisperx[94].text 原來是只有CPU第五代到第六代的時候我們多建構了兩Peta Flow的GPU那做GPU在去年就發揮了效應像去年的颱風的預報有一些都已經轉到GPU裡面來也讓我們在去年的颱風的路徑預報24小時的預報呢已經小於60公里現在大概是57公里58公里應該比歐美日甚至中國預報的
transcript.whisperx[95].start 7354.81
transcript.whisperx[95].end 7376.185
transcript.whisperx[95].text 路徑的預報準確度還來得高那由於呢在未來我們期待天氣的預報能夠更精準的期待之下呢我們也快速的跟政府提出了支持希望我們能夠建構出我們更快速的高速電腦出來所以我們在114年到112年這段時間提供了
transcript.whisperx[96].start 7381.909
transcript.whisperx[96].end 7405.109
transcript.whisperx[96].text 提出了一些高速電腦的建置計畫就目前來看的話我們這個計畫雖然說執行率有點偏低主要的原因是因為我們在去年評估目前AI進步的環境之下我們的GPU的耗能跟散熱以及樓梯板承重都大幅提升的情形之下我們也做了調整機房機電設施的一些功能
transcript.whisperx[97].start 7407.01
transcript.whisperx[97].end 7433.241
transcript.whisperx[97].text 也因為這樣子所以造成我們的在執行的時候有稍微延後了一年不過這個計畫我們目前已經修正通過我們期待在今年我們在新竹所建立的高速電腦的機房能夠順利的發包出去那麼預計明年大概就可以建構50%到後年就可以正式的營運這個是我們在高速電腦有關於執行計畫比較偏落後的地方
transcript.whisperx[98].start 7433.721
transcript.whisperx[98].end 7456.588
transcript.whisperx[98].text 目前進度都依據我們休息計畫逐漸的趕上來那這一些呢都是為了要提供我們更完善的氣象服務那氣象服務其實在被前面的這些氣象站的建設對我們來講也很重要所以呢不管是在農業的應用或者是加拿大綠能的應用我們都會努力的去改善這一些資料的
transcript.whisperx[99].start 7458.408
transcript.whisperx[99].end 7485.57
transcript.whisperx[99].text 資料的應用部分那有關於氣象雷達站也是我們很重要的一個措施所以我們將來呢在建構金門跟馬祖氣象站的過程裡面我們在不管是在選地或者是現在的一些基礎設計其實目前都有按照原來的進度在執行那氣象署在這一方面呢也是必須要努力去做的所以整個天氣預報的過程不管是資料的建構包含了氣象雷達還有地面的觀測在
transcript.whisperx[100].start 7487.932
transcript.whisperx[100].end 7509.645
transcript.whisperx[100].text 電腦算力 不管是在高速電腦或CPU的建置以及將來的跨能服務的這一塊人才培育在這一邊呢 在這些計畫裡面都是協助我們在往前走的一個很大的經費的來源所以也懇請委員能夠支持 謝謝好 謝謝 各位要有意見嗎 輪到委員然後再黃建豪召委
transcript.whisperx[101].start 7511.703
transcript.whisperx[101].end 7538.411
transcript.whisperx[101].text 謝謝主席沒有 氣象署再說明一下因為你剛剛說了這個部分剛剛請教你們針對於我這邊提的第六案22.5億的這個今年編的3.25億你特別講了非常多的硬體我再跟你確認一下就包括高速電腦這個非常重大的建設我們都非常支持所以你的意思就是說我們像這樣的高端的硬體的建設沒有編在其他資本門就是因為你這是一個計畫你是
transcript.whisperx[102].start 7541.372
transcript.whisperx[102].end 7566.463
transcript.whisperx[102].text 確定喔就是所有的高速電腦就是在這個預算裡面還是另有資本門包括很多的雷達相關的聽起來有些都是硬體資本門的一個建設那你的意思說把它通通灌在這裡面我再確認是還是不是第二個是現在總預算22.5億那你就直接說明一下硬體的構置跟軟體的一個服務大概比例是多少謝謝
transcript.whisperx[103].start 7569.916
transcript.whisperx[103].end 7596.435
transcript.whisperx[103].text 請黃建豪 趙偉好 謝謝趙偉其實就是其實我跟魯敏哲偉有一樣的疑問因為我在第八跟第十一案你們都在氣象科技研究發展裡面來編相關的高速電腦的運算的這個計畫那同樣的其實我們當然支持嘛不然怎麼預算會通過那現在是問執行率的問題因為在你們在我在第十一案裡面指出來說你們在去年的執行率這麼低那原因到底是什麼那是業務費的部分執行率很低那所以業務費為什麼會執行率會這麼低
transcript.whisperx[104].start 7598.596
transcript.whisperx[104].end 7619.813
transcript.whisperx[104].text 然後再來是你們這個設備你們把這個高速電腦我放在第八案裡面你們是把高速電腦的建置這個不能放在資本門嗎那業務費我在第十案的業務費的支出到底又是什麼內容因為其實你們是把它框在一個氣象科技研究要發展整體計畫是22億多那22億多裡面到底是你們資本門編列多少
transcript.whisperx[105].start 7625.177
transcript.whisperx[105].end 7641.01
transcript.whisperx[105].text 要拿來買電腦然後你的業務費執行為什麼只有13點多到去年8月的時候只有13點多那你到去年到底執行多少然後我今年第二期繼續給你的話那你的執行率能夠追上來嗎這是第一個問題然後再來第二個問題是說剛剛提到那個海底電纜的部分當然剛剛提到說
transcript.whisperx[106].start 7642.131
transcript.whisperx[106].end 7662.904
transcript.whisperx[106].text 主要你要說可能是因為前面的物價上漲啦因為戰爭等等的好沒關係那你現在看起來很像是減相發包欸如果你本來要抓到真正的預測預警機制你是要坐800公里6座車站但你現在減成200公里3座車站那它的效果它預警的功能會不會因此受到影響
transcript.whisperx[107].start 7664.125
transcript.whisperx[107].end 7685.925
transcript.whisperx[107].text 那你的問題是就發放不出去還是價格代替還是什麼原因我覺得這個部分我覺得還是要清楚跟國人說明今天不是錢的問題今天是安全的問題你本來預計在800座6個車站才能夠完整的監測到可能會地震可能會有海嘯那你現在只剩下200公里跟山東車站是錢不夠所以你減降還是什麼原因發生你覺得這樣就夠了好不好以上謝謝
transcript.whisperx[108].start 7689.408
transcript.whisperx[108].end 7700.375
transcript.whisperx[108].text 那是不是先針對海嵐的問題來看那海嵐原來是800公里然後比較多的節點可是因為就目前的情勢來看的話這個價格
transcript.whisperx[109].start 7702.874
transcript.whisperx[109].end 7728.323
transcript.whisperx[109].text 廠商報價報進來價格沒辦法去滿足這樣子所以後來在一百一十一百二我們在我們我們後來在一百一十二年一百一十三年左右我們就做了調整把它調整回來到兩百兩百公里然後三個那
transcript.whisperx[110].start 7731.204
transcript.whisperx[110].end 7749.481
transcript.whisperx[110].text 我們也召集了國內的專家來審慎這件事情那你這樣子的經費呢來大概是20億左右的經費來實施這樣子的計畫是可行的那可是後來又沒辦法做了其實我們在執行的時候其實在合作廠商
transcript.whisperx[111].start 7750.222
transcript.whisperx[111].end 7765.897
transcript.whisperx[111].text 部分呢他們把他們的一些相關的一些架構面的東西做了調整所以他要的金額可能又比較多那同時呢在南海的這一塊的情勢他們也顧慮到可能會有影響到他們將來施作的情況
transcript.whisperx[112].start 7766.718
transcript.whisperx[112].end 7795.067
transcript.whisperx[112].text 所以這些部分在那個情境之下造成了第二次的修正計畫幾次的流標一直累積到有12次的流標這種情況不過目前的情況來看的話呢在我們跟潛在廠商在討論的時候呢目前這一些狀況其實都可以克服所以我們才想說目前這個第三次的修正案院裡面通過我們努力來執行這件事情那有關於在算力算力跟
transcript.whisperx[113].start 7796.474
transcript.whisperx[113].end 7824.443
transcript.whisperx[113].text 資料治理的部分的話呢主要在算力部分我們是期待說將來能夠建築在新竹有一個機閥能夠出來所以我們爭取到高速電腦這樣子的運算那這一部分主要是硬體那軟體的開發呢是在我們的氣象風險數位治理以及跨域應用這支計畫也就是今年的新興計畫這一部分的話主要是在建構軟體應用的部分在硬體部分相對資本本相對是比較少的
transcript.whisperx[114].start 7825.163
transcript.whisperx[114].end 7839.782
transcript.whisperx[114].text 所以我們主要在整個氣象資訊跟防災資訊的應用我們在硬體跟算力還有軟體的開發中間有一些區隔所以從我們的計畫上面來看的話我們的數位風險自由跨越就主要是在軟體的開發以及系統的整合
transcript.whisperx[115].start 7841.684
transcript.whisperx[115].end 7852.669
transcript.whisperx[115].text 那在算力部分的話我們是在數字天氣預報高速電腦建設計畫裡面來完成這件事情所以中間的在軟體跟硬體是有一些區隔面是在這個地方跟委員報告
transcript.whisperx[116].start 7857.091
transcript.whisperx[116].end 7876.949
transcript.whisperx[116].text 那實現率的部分其實我們在建構高速電腦的時候在去年是第一年不過第一年我們在建構的時候主要是在這個以前是用在土建跟基建這一部分那我們原來在設計這一塊的時候其實是在前幾年設計的那時候GPU還沒有這麼夯AI能力還沒有這麼強
transcript.whisperx[117].start 7877.95
transcript.whisperx[117].end 7904.413
transcript.whisperx[117].text 所以我們去年在執行的時候我們在跟整個整體AI設計跟GPU規劃的時候我們就發現到不管是耗能啊或者是散熱啊或者是地板承受度都跟原來的設計會不大一樣所以我們也跟高速電腦中心去討論去合作後來我們就覺得說建立說我們這個機房的建構呢這些土建跟基建呢必須要做有些調整所以我們氣象署就做一個變更計畫
transcript.whisperx[118].start 7905.914
transcript.whisperx[118].end 7920.399
transcript.whisperx[118].text 那所以變更計畫就前面的執行率竟然當然就是不會到達那麼高就用保留的方式保留到今年跟明年來陸續的來執行這些事情所以因為這樣子所以在執行率上相對做比較低這一部分呢我們會持續的在檢討來改進 謝謝
transcript.whisperx[119].start 7923.771
transcript.whisperx[119].end 7946.143
transcript.whisperx[119].text 好 謝謝 各位委員我們各位委員都有提動結案那我們第一個我們請氣象署就各位委員提的剛剛所關心的項目領委書面資料要詳細來做說明各位委員 那我們的第一幕啦我們第一幕的氣象科技研究發展我們因為各位委員提的動結數目不大一致我們動結五千萬好不好
transcript.whisperx[120].start 7951.105
transcript.whisperx[120].end 7970.493
transcript.whisperx[120].text 平均大概也差不多這樣子啦那我們就凍結五千萬一個月內一個月內可以齁一個月內體育輸入報告體育輸入報告死活凍結好 謝謝好 各位委員那我們現在繼續看接下來齁我們第三幕的氣象測報我們合併處理26案到31案
transcript.whisperx[121].start 7974.196
transcript.whisperx[121].end 7987.91
transcript.whisperx[121].text 各位委員有意見嗎?好線上數了第26到31案提案委員在場的有徐祐愷委員 李昆哲委員徐祐愷委員請
transcript.whisperx[122].start 7995.6
transcript.whisperx[122].end 8008.726
transcript.whisperx[122].text 我提出第27案那針對我們氣象組提出一個氣象預報的一個高速電腦的一個建置的一個計畫高達3億多那目前推動到第6代
transcript.whisperx[123].start 8011.128
transcript.whisperx[123].end 8034.805
transcript.whisperx[123].text 預計是這個要這個能夠大幅提升這個使用的一個基準但是仍低於這個國際主要的氣象中心的一個水準那加上我們現在颱風季的使用率接近飽和研發空間有限那我想說這部分是不是應該要持續加強推動第七代的計畫從這個延續到122年那分三階段建置那這部分我想
transcript.whisperx[124].start 8035.325
transcript.whisperx[124].end 8056.472
transcript.whisperx[124].text 我們應該要求氣象署應該加快這個建制的這個速度還有控管這個進度確保第七項計畫能夠順利延伸所以我提案凍結兩千萬那提出書面報告之後 使得凍之好 謝謝好 謝謝 請陳清龍委員好 謝謝主席有關於我在這個氣象預報局颱風車報這邊那我提出這個三減一百萬元的一個預算
transcript.whisperx[125].start 8064.514
transcript.whisperx[125].end 8089.833
transcript.whisperx[125].text 那當然最主要當初是依據我們氣象署這邊的一個各個社群平台的一個整合的一個問題那經過這個中央氣象署的一個這個報告那我這個3.1百萬我可以這個不刪啦但是凍結的部分還是主張凍結20個
transcript.whisperx[126].start 8093.936
transcript.whisperx[126].end 8116.891
transcript.whisperx[126].text 20%那可以提出專案報告改成書面報告好 以上好 我們請李君哲委員針對第28案我們對氣象預報有編列預算是2億9065萬元那它主要的用途是要建置現代化的氣象觀測
transcript.whisperx[127].start 8118.612
transcript.whisperx[127].end 8134.079
transcript.whisperx[127].text 提升氣象的一些觀測氣象衛星的接收還有海象的觀測等等的設施它的效能以及技術的運用等等我看我們現在國內大型的活動
transcript.whisperx[128].start 8135.419
transcript.whisperx[128].end 8150.351
transcript.whisperx[128].text 越來越多那常常有這種大量人潮的集中那時間長或者是像粉紅草堡這種路線不固定的跨區域等等的這種特性那因此體溫
transcript.whisperx[129].start 8153.174
transcript.whisperx[129].end 8165.866
transcript.whisperx[129].text 體溫跟濕度的身體狀況管理就非常重要那一旦遇到突發的天氣變化除了影響活動的品質那對民眾的身體健康的安全也有可能造成風險
transcript.whisperx[130].start 8167.748
transcript.whisperx[130].end 8192.062
transcript.whisperx[130].text 我看目前氣象署所提供的氣象服務其實是有三種類型第一種是定點的觀測第二是移動的觀測第三是水行的觀測那水行觀測在這次粉紅超跑也有在做運用那氣象服務目前雖然是有開放主辦方可以申請
transcript.whisperx[131].start 8193.143
transcript.whisperx[131].end 8221.342
transcript.whisperx[131].text 但是一般的民眾在提供民眾獲得氣象情報的這些應用應該更積極的提供服務讓參與活動的民眾可以簡便快速的獲得這些氣象的資訊所以我提議凍結100萬一個月內要就各類可申請的氣象服務如何提供簡易便民的接收方式提出書面報告解凍以上
transcript.whisperx[132].start 8222.582
transcript.whisperx[132].end 8243.197
transcript.whisperx[132].text 好謝謝我們請季教授說明好謝謝委員的提點那有關於FB的部分的整合很感謝陳委員的提點的確我們有一些FB效率並不是那麼好說適當的整合是一個非常非常好的一個措施不過因為像抱天氣抱天文等等有一些各有他們的粉絲
transcript.whisperx[133].start 8243.977
transcript.whisperx[133].end 8259.303
transcript.whisperx[133].text 的屬性所以這一部分我們會努力持續的來經營那有關於我們的第七代電腦的建置也謝謝委員的提點其實我們現在正在採購第七代電腦希望說能夠以現在AI為主的GPU
transcript.whisperx[134].start 8260.143
transcript.whisperx[134].end 8281.185
transcript.whisperx[134].text 所以我們希望說我們明年能夠順利的採購增加我們的3PETA的GPU的能量出來這對我們在發展的AI跟AI做台灣的路徑預報有很大的幫助謝謝我們的提案我們會努力來執行另外在行動氣象儀的部分的推廣我是覺得今年我們也做一個新的嘗試那委員的建議我們會來規劃
transcript.whisperx[135].start 8283.327
transcript.whisperx[135].end 8296.058
transcript.whisperx[135].text 讓這一個隨行的這種觀測儀器將來能夠有更大的發揮空間能夠接到氣象服務的最後一體度謝謝好 謝謝好 各位委員那我們來處理預算
transcript.whisperx[136].start 8298.3
transcript.whisperx[136].end 8322.49
transcript.whisperx[136].text 就各委員所提的凍結案我們第三部的氣象撤報我們就凍結兩千萬那請氣象署一個月內提出報告 否則都解凍可以喔是 謝謝好謝謝各委員接下來我們看第32案開始的主決議好 第32案各委員有意見嗎
transcript.whisperx[137].start 8323.89
transcript.whisperx[137].end 8344.097
transcript.whisperx[137].text 好沒有 我們就通過33案 陸委員33案可以嗎33案可不可以改為書面報告提案33案 向委員會提出書面報告陸委員這樣可以啦33案提案委員 李明哲委員
transcript.whisperx[138].start 8347.101
transcript.whisperx[138].end 8362.95
transcript.whisperx[138].text 好那我們就修正修正通過 議34案 信仰主席委員註冊辦理好那我們就通過35案 註冊辦理好我們就召喚通過36案 註冊辦理我們通過37案 註冊辦理
transcript.whisperx[139].start 8367.232
transcript.whisperx[139].end 8395.498
transcript.whisperx[139].text 好 我們通過38案 正在辦理通過39案 建立改為書面報告提案好 我們建立改為書面報告三個月內提起舉行與書面報告好 我們修正通過40案是不是也建立改為書面報告改為書面報告好 邱委員同意中案報告改書面報告好 謝謝邱委員那我們就修正通過第41案
transcript.whisperx[140].start 8397.056
transcript.whisperx[140].end 8417.64
transcript.whisperx[140].text 是不是有建議改為書面報告是提案好 改為書面報告各位有沒有意見沒有的話我們修正通過第四十二案好 通過好 謝謝我們謝謝機長署好 謝謝委員 謝謝好 我們休息五分鐘接下來請觀光署
transcript.whisperx[141].start 8452.773
transcript.whisperx[141].end 8480.469
transcript.whisperx[141].text 響鐘
transcript.whisperx[142].start 8490.342
transcript.whisperx[142].end 8493.704
transcript.whisperx[142].text 等一下再給你
transcript.whisperx[143].start 8535.993
transcript.whisperx[143].end 8538.595
transcript.whisperx[143].text 我們進去對不對然後就沒辦法因為人太多
transcript.whisperx[144].start 8563.386
transcript.whisperx[144].end 8565.267
transcript.whisperx[144].text 中斷旅程後面的對 應該是都可以做
transcript.whisperx[145].start 8591.262
transcript.whisperx[145].end 8592.923
transcript.whisperx[145].text 我來訓練一下細節我訓練一下麻煩你會不會放好我請
transcript.whisperx[146].start 8621.54
transcript.whisperx[146].end 8621.56
transcript.whisperx[146].text 7月
transcript.whisperx[147].start 8653.729
transcript.whisperx[147].end 8655.598
transcript.whisperx[147].text 谢谢大家
transcript.whisperx[148].start 8674.813
transcript.whisperx[148].end 8687.123
transcript.whisperx[148].text 喔喔喔
transcript.whisperx[149].start 8697.144
transcript.whisperx[149].end 8698.184
transcript.whisperx[149].text 謝謝大家
transcript.whisperx[150].start 8734.592
transcript.whisperx[150].end 8736.353
transcript.whisperx[150].text 謝謝大家
transcript.whisperx[151].start 8758.456
transcript.whisperx[151].end 8775.141
transcript.whisperx[151].text 嗯嗯嗯
transcript.whisperx[152].start 8786.685
transcript.whisperx[152].end 8788.667
transcript.whisperx[152].text 謝謝大家
transcript.whisperx[153].start 8805.632
transcript.whisperx[153].end 8827.119
transcript.whisperx[153].text 好 那我們現在開始開會我們先來介紹今天在場列席的我們介紹列席的人員我們首先是公關署的陳玉秀署長還有我們公關署主計事的劉政賢主任好
transcript.whisperx[154].start 8828.482
transcript.whisperx[154].end 8852.042
transcript.whisperx[154].text 我們現在開始來進行公共組合預算審查各位委員我們現在看第一案第一案體驗委員不在那第一案我們就不處理我們看第二到三案我們邊桿處理稅率的部分各位有沒有意見我們體驗委員在場有沒有意見
transcript.whisperx[155].start 8854.243
transcript.whisperx[155].end 8856.605
transcript.whisperx[155].text 我們的意見都已經寫在這邊了應該是請觀光署這邊要說明吧
transcript.whisperx[156].start 8867.85
transcript.whisperx[156].end 8889.096
transcript.whisperx[156].text 好 你有請到說明嗎對啊 我剛就在講說請官方署說明你告訴我一下 我就請到說明好 謝謝好 來第一個 稅入的這個部分最主要向法院的部分最主要是向旅行社因為都是行前的 臨時檢約或者是變更行程因為這樣子被罰嘛那我們預算編列是830萬陳靜良委員第二幕 已經
transcript.whisperx[157].start 8893.597
transcript.whisperx[157].end 8911.581
transcript.whisperx[157].text 執行進度就是向右向南幾個方案不是第二案第三案第二案第三案資訊管理的部分我們是希望說因為它多數都是屬於署本部還有像所屬機關的一般行政的資訊費用那我們是希望說有沒有可能是凍結5%三個月內提出書面報告
transcript.whisperx[158].start 8915.422
transcript.whisperx[158].end 8921.466
transcript.whisperx[158].text 好謝謝好各位還有意見嗎我們就凍結5%我們很客氣了就凍結幾%我沒有什麼意見但是你要跟我說明說像我們提的這個是當初的個資外洩這種內部資料被公開上網
transcript.whisperx[159].start 8931.031
transcript.whisperx[159].end 8952.086
transcript.whisperx[159].text 這個要解決嗎 要怎麼解決 這個還是要給我的說法 給民眾一個說法因為這個部分是屬於在屬本部在使用的那像一般的業界 如果他們的資訊安全的部分因為資訊安全基本上涉及到的範圍還蠻多的比如說有人員的資安意識流程 還有技術面的部分
transcript.whisperx[160].start 8952.626
transcript.whisperx[160].end 8966.78
transcript.whisperx[160].text 那這個部分基本上公安署應該一直都在輔導業者那再加上是說因為資安的問題大家會很多的破口包含像人員的這種整個他的作業流程的部分所以就是會一直
transcript.whisperx[161].start 8968.141
transcript.whisperx[161].end 8989.186
transcript.whisperx[161].text 挑戰新的項目那這個部分現在目前經過這幾次我覺得旅行社或者是觀光產業的大家已經有這樣的意識那只是還是要持續的來推進那我們自己相關的課程也會持續的來相關的辦理所以希望說這個部分純粹是以屬本部自己同仁上班的需要為主希望可以爭取保留預算
transcript.whisperx[162].start 8990.766
transcript.whisperx[162].end 9011.35
transcript.whisperx[162].text 好 謝謝各位委員我們來處理預算然後我們就一般行政我們就凍結五八讓議委員提案的三個月內提議書面報告 審核動之謝謝謝謝 我們各位委員我們繼續看四到四十三案觀光業務我們變案處理好 各位委員有意見嗎好 請徐副委員
transcript.whisperx[163].start 9015.652
transcript.whisperx[163].end 9023.32
transcript.whisperx[163].text 謝主席我提出第七案到第十案那第七案是有鑒於這個國內這個旅宿房價過高那整體這個旅宿業的增幅高達這個17.37%
transcript.whisperx[164].start 9030.228
transcript.whisperx[164].end 9046.477
transcript.whisperx[164].text 那也造成這個高於一般的物價指數也造成民眾對於選擇國旅選擇區旅行的一個原因我想這部分觀光署也應該針對這個高房價的一個政策提出檢討機制所以經過溝通我提出這個凍結一千萬提出書面報告時的凍資
transcript.whisperx[165].start 9050.799
transcript.whisperx[165].end 9071.327
transcript.whisperx[165].text 那第八案有介於這個國際旅客來台旅遊大多集中在雙北那我想對於這個非六都的這個觀光業也影響甚巨所以未來如何適當引導國際遊客到非六都的區域讓觀光居民發展這部分經過溝通一樣凍結一千萬提出書面報告時的凍資
transcript.whisperx[166].start 9072.708
transcript.whisperx[166].end 9097.33
transcript.whisperx[166].text 那第九案有鑑於現在旅宿業缺工的情形非常嚴重那根據目前的估計大概缺工人數高達五千到六千人那未來針對這樣的一個服務的一個項目的跟招募的一個狀況我想是也必須是觀光署要面對一個很重要的一個議題那也未來應該提出一個解決一個對策那一樣提出凍結一千萬那請提出書面報告時的動之
transcript.whisperx[167].start 9098.371
transcript.whisperx[167].end 9123.807
transcript.whisperx[167].text 那第十案針對觀光署的這個來臺旅客人數訂定的部分我想觀光署也應該要逐步在檢討那尤其我們許多的這個對外的一個旅客的人數逐點的下降我想這個部分應該是要檢討那最近針對有這個旅展甚至有宣傳大陸團來臺灣的一個情勢我想這部分應該觀光署要密切注意
transcript.whisperx[168].start 9124.247
transcript.whisperx[168].end 9144.235
transcript.whisperx[168].text 那我想尤其是針對這個如何吸引國際旅客來台的措施我想也應該要主動提出一個因應措施那一樣提出凍結一千萬提出書面報告謝謝好謝謝我們請恰羅華委員再來請李光澤委員這邊是陳勛榮召委他提出的第四案主要是針對我國的觀光那
transcript.whisperx[169].start 9145.615
transcript.whisperx[169].end 9169.522
transcript.whisperx[169].text 觀光署編列的是四十一億八千六百六十八萬那主要是要推動我國的觀光資源要爭取旅客來台觀光賴總統也有提出觀光國家隊要讓二零二三年國內的觀光產值破造可是呢外國來台的旅客二零二四年二零五五年都沒有達到原定的年度目標而且連續兩年都多次下修二零二四年
transcript.whisperx[170].start 9170.422
transcript.whisperx[170].end 9172.226
transcript.whisperx[170].text 的時候1200萬下修是1000萬最後實際的人次是786萬那
transcript.whisperx[171].start 9177.898
transcript.whisperx[171].end 9206.803
transcript.whisperx[171].text 召委這邊也有提出那像是我國女的痛點像是景點缺乏特色還有住宿太貴物價高漲的問題那原先是要提出這邊是要預算原本要刪除的預算是一億元那這邊經過經過同意之後那這邊刪減五百萬元那也同樣的請觀光署在提出報告之後取得動之謝謝
transcript.whisperx[172].start 9208.183
transcript.whisperx[172].end 9235.997
transcript.whisperx[172].text 好 謝謝我們請李坤澤委員坤澤委員或請萬美玲委員第十一案有關於交通部觀光署的這個預算案的第二幕就是觀光的業務編列的預算四十一億八千六百六十八萬它其實重要的工作是要爭取旅客來台灣觀光那增加我們外匯的收入那其實我們看一百一十四年度的國際旅客來台
transcript.whisperx[173].start 9237.077
transcript.whisperx[173].end 9254.412
transcript.whisperx[173].text 旅遊其實是不如預期那115年度1到3月的國際旅客來台的人數雖然比114年度的同期略有增長但是成長的幅度我們認為是還有進步的一個空間
transcript.whisperx[174].start 9255.513
transcript.whisperx[174].end 9272.332
transcript.whisperx[174].text 那我認為觀光署應該要提出如何促進國際旅客來台提出實際的作為而且針對不同區域國家的特性提出因應的加強作為那我提議是要凍結
transcript.whisperx[175].start 9273.673
transcript.whisperx[175].end 9296.041
transcript.whisperx[175].text 預算一千萬三個月內就如何促進國際旅客來台以及不同國家的因應加強作為像交通委員會提出書面報告後解凍那在這邊我等一下要請署長來說明雖然是三個月內提出書面報告也應該在
transcript.whisperx[176].start 9298.042
transcript.whisperx[176].end 9322.889
transcript.whisperx[176].text 審查觀光署預算的時候提出要如何增進國際旅客的座位要提出簡單的一個說明我們知道行政院有核定相關的方案就是要透過觀光品牌來吸引全球的一個旅客環島的亮點還有跨域的一個整合還有智慧景區的
transcript.whisperx[177].start 9324.03
transcript.whisperx[177].end 9339.09
transcript.whisperx[177].text 價值的一個升級的這樣的一個策略這有四大策略你是不是簡單說明一下讓我們作為審核預算的一個參考以上好 謝謝我們請萬美玲委員然後再請洪孟楷委員
transcript.whisperx[178].start 9339.791
transcript.whisperx[178].end 9363.807
transcript.whisperx[178].text 好 謝謝昭偉那本席的是第五案第五案其實跟上述大家提的案子是一樣的問題也就是說我們看到觀光署其實提出了這個所謂的台灣觀光邁向2025方案那這個方案是110年到114年但是我們看到在這個所有的報表上面看到來台旅客人次可以說是評效績效都不好那我們看到110年到114年
transcript.whisperx[179].start 9366.589
transcript.whisperx[179].end 9387.214
transcript.whisperx[179].text 因為本席有附了一個表我們可以看到這個預期的目標值大概都只有七成左右那當然就是國外的觀光旅遊人次來台這個評估一直都不好有很多的原因那數字上面呈現的這個數字背後有很多的因素跟問題點那我覺得觀光署應該要把這些問題點把它找出來然後根據這些問題點找出解決的辦法
transcript.whisperx[180].start 9389.475
transcript.whisperx[180].end 9418.779
transcript.whisperx[180].text 所以如果說在2025的這個方案當中我們看到年齡的這個這個績效都不好那我們要怎麼樣去達成說觀光署要在2030年呢還要再推所謂的來台旅客的人士能夠達到一個目標值我想本期抱很大的一個問號所以呢所以我現在寫的是希望能夠凍結這個預算10%不過等一下我想大家就一起來處理不過我想交通部觀光署要來做這個專案報告然後找出問題點找出解決的方法
transcript.whisperx[181].start 9419.079
transcript.whisperx[181].end 9445.154
transcript.whisperx[181].text 那我覺得才可以動之那至於這個解凍多少這個預算等一下由大家來討論我都可以接受 以上好 謝謝翁委員接下來請洪孟楷委員好 稍微感謝第二幕我想是觀光署重中之重的預算那我也希望聽一下觀光署2024年當時其實每年我們針對觀光都有訂KPI都有訂目標值
transcript.whisperx[182].start 9445.774
transcript.whisperx[182].end 9471.559
transcript.whisperx[182].text 但好像這兩年不敢訂了或是訂了之後就是一直在修正一直在下修那現在總是明年也要立一個目標跟方向嘛是不是請署長等一下也跟我們國人說明一下是說那明年你預計要達到多少的觀光旅次2024年有列出1200萬那就沒有達標2025年我記得那時候也說要突破千萬到最後現在沒有達標那2026年呢總是要
transcript.whisperx[183].start 9474.66
transcript.whisperx[183].end 9489.388
transcript.whisperx[183].text 能力越強責任越大嘛一樣嘛 預算越多你目標也要讓我們知道是說那你到底要達成多少目標我想這是不分朝野藍綠委員我們都希望能夠聽到觀光署你的雄心壯志在哪邊那另外本節第37案
transcript.whisperx[184].start 9491.737
transcript.whisperx[184].end 9518.32
transcript.whisperx[184].text 這個部分我也拜託觀光署因為之前我們有討論過觀光發展條例當時我們說是不是能夠把觀光工廠或是觀光商圈等等也列入當時觀光署跟我們的回覆是說不行啊如果這個列入的話那觀光夜市要不要也列入什麼要不要也列入我也從善如流我也認為是說業務本質應該要回歸所以我沒有堅持說一定要列入可是
transcript.whisperx[185].start 9519.881
transcript.whisperx[185].end 9539.771
transcript.whisperx[185].text 我們各部會不要各司其職就是說我們的觀光很多的商圈其實也是帶動觀光的一環那但是現在我們很多的補貼會變成是都是用這種不管是悠遊卡一卡通等等的這種補貼可是我們很多的商圈其實它是沒有這些讀卡機沒有這個相關設備
transcript.whisperx[186].start 9540.831
transcript.whisperx[186].end 9555.731
transcript.whisperx[186].text 那你變成是說你給他這一些點數給他這一些這個加碼金但他沒有辦法用在實質的商圈上那難免你就變成是到最後是變什麼都民眾拿到這個點數他可能他就去百貨公司
transcript.whisperx[187].start 9556.252
transcript.whisperx[187].end 9584.772
transcript.whisperx[187].text 他可能他要去一個比較大的他沒有辦法直接落實到真的商圈內部所以我才會說跟經濟部應該要去做一個協調討論到底能不能落實在一般店家裡面最基本也可以有這些讀卡機的運用讓你的補貼讓你的加碼是可以落實到我們一般的商店也都可以接收他有沒有辦法爭取到消費者那是他的本事但你不能連工具都不給他讓他連要獲取那個加碼金都沒有辦法
transcript.whisperx[188].start 9585.512
transcript.whisperx[188].end 9608.745
transcript.whisperx[188].text 所以37條37案的部分我覺得主要講的是這個部分要整合所以這兩案等一下也請這個署長特別說明一下以上謝謝好謝謝我們請黃建豪召委好謝謝召委我想提的主要是針對第38案其他是凍結那38案我提的是三減案這個三減案是什麼呢這個放在獎補助費對特種金的補助國際標竿演唱會的支持方案
transcript.whisperx[189].start 9609.545
transcript.whisperx[189].end 9631.664
transcript.whisperx[189].text 那這演唱會支持方案我們了解了一下它到底要做什麼作用總共有三億元那這三億元我們據我們目前所了解的它是要幫忙宣傳年底會有一些知名團體可能就是BTS之類的來台灣辦演唱會宣傳的對象是海外是對國際來宣傳說年底會有這樣的團體來台灣表演歡迎大家來台灣之類的
transcript.whisperx[190].start 9632.725
transcript.whisperx[190].end 9656.183
transcript.whisperx[190].text 可是我們講真的這種商業演唱會不管是BTS或是其他的韓團或是全球性知名的樂團他們來台灣表演他們本來就自帶流量他們本來就會自己做形象相關宣傳所以我們今天花這個三億元到底效益在哪裡到底是為了什麼事情而宣傳我一開始以為這個方案是說我補助各地方政府三億元那大家我肯定補助你這邊五千萬那邊一億你來辦演唱會來邀請大家來台灣表演來台灣帶動觀光不是
transcript.whisperx[191].start 9661.207
transcript.whisperx[191].end 9686.74
transcript.whisperx[191].text 是已經確定要辦演唱會了然後我們政府在幫忙宣傳說有演唱會要來喔 大家可以來可是問題是這演唱會最近很有名的它本來票價就秒殺了所以根本沒有宣傳的就是沒有政府出來宣傳的必要性你宣傳的TEA是誰你要對誰宣傳那他如果買得到票他就會來啦那他本來票就已經賣光了所以你現在宣傳你放那三億元出去我們就講真的啦如果BTS你給他三億元那多開五場
transcript.whisperx[192].start 9687.841
transcript.whisperx[192].end 9702.656
transcript.whisperx[192].text 然後大家可能就接受可是不是這樣子三億人說你對本來叫來台灣的宣傳說BTS要來或是誰要來所以還你再來這個效益我是覺得很奇怪啦所以我是提三請下的原因在這裡那再講真的其他國家也並不是說
transcript.whisperx[193].start 9704.057
transcript.whisperx[193].end 9729.238
transcript.whisperx[193].text 演唱會經濟是很好的一個方式很多國家也這麼做新加坡就說給你看過了嘛新加坡他是直接買斷泰勒斯東大亞表演權你不能去其他國家表演你泰勒斯只能在我新加坡表演所以一次三十萬人跑去新加坡登記註冊兩千多萬人所以新加坡政府手上有這麼多觀光客資訊那我們賺了這個三億元你撒出去之後請問一下我們可以拿回多少的data有多少觀光客有多少歌迷
transcript.whisperx[194].start 9729.858
transcript.whisperx[194].end 9744.757
transcript.whisperx[194].text 你手上會有資料它未來要宣傳的時候你可以找到正確的體驗你找不到啊你就是全出去之後就沒有回來了所以我要問的就是說今天這個錢並不是不讓你行銷可是行銷之後要做什麼用你行銷的對象是誰如果都講不清楚那當然只能刪掉嘛以上 謝謝
transcript.whisperx[195].start 9747.124
transcript.whisperx[195].end 9775.437
transcript.whisperx[195].text 感謝我們請盧明哲委謝謝主席在這個階段有提第28案跟第49案第28案主要針對於我們觀光署旅館民宿管理跟輔導管理跟輔導最主要是對於相關的業者有不好的部分我們與其介入管理去糾正對於他盡好的部分我們透過輔導措施讓他的一個生意進行是更好這應該是一體的兩面但我們看到
transcript.whisperx[196].start 9776.837
transcript.whisperx[196].end 9799.529
transcript.whisperx[196].text 這幾年各地也傳出很多大家在住宿方面覺得住宿費飆漲我想看到很多的新聞都有提到雖然不是全面但是我覺得對觀光署在整個管理一個標的造成整個台灣觀光產業很多人要去訂房的時候可能有一點畏懼這個部分我覺得是非常不好的
transcript.whisperx[197].start 9800.009
transcript.whisperx[197].end 9824.907
transcript.whisperx[197].text 那另外一方面呢也有一些很多無預警被取消的相關的一些訂房那我們有特別請教觀光署其實觀光署你給我們一個答案是說如果惡意棄單的話當然會進行我們如果業者的一個開罰不過如果平台業者的話你們就沒有辦法我覺得這個以前在數位部還沒成立之前他也是這樣說對FB對什麼他也沒辦法
transcript.whisperx[198].start 9827.749
transcript.whisperx[198].end 9854.756
transcript.whisperx[198].text 現在它都有法可管因為你不得不去面對這個問題因為整個旅遊的形態不管是國內國外都完全改變了以前八成跟團現在八成自由行八成都是自己訂的所以透過平台業者這個的部分對於這個旅館民宿這個管理輔導的部分我覺得應該提出更具體的一個措施所以我這個部分提出來是簡列100萬元
transcript.whisperx[199].start 9856.816
transcript.whisperx[199].end 9882.363
transcript.whisperx[199].text 那第二個是第49案49案的部分之前在我質詢的時候也特別跟觀光署也有提出我的建議也就是說我們桃園市是國家風景區13不管的地帶因為我們全國有13個國家風景區但是桃園跟少數部分縣市是完全沒有列入我們看到在今年度的預算
transcript.whisperx[200].start 9883.483
transcript.whisperx[200].end 9903.549
transcript.whisperx[200].text 國家風景區開發與管理的37億.5的預算全部分給這13個國家風景區如果沒有列入的縣市你就看在旁邊流口水一毛也沒有這個部分我特別透過執訊有提出那我在這裡再次再次的一個建議我這邊
transcript.whisperx[201].start 9905.13
transcript.whisperx[201].end 9933.829
transcript.whisperx[201].text 這個凍結五千萬主要目的啊我們是希望像降德的桃園北橫那個風景區大家不斷說在輔導希望能夠快點成立這個過程我們是希望在這個國家風景區裡面由鄰近的風景區來做一個預算的輔導也有鄰近的風景區能夠分配預算的時候也能夠給這些沒有邊路的縣市能夠預算來協助或者是你在其他的預算
transcript.whisperx[202].start 9934.409
transcript.whisperx[202].end 9951.896
transcript.whisperx[202].text 在針對於沒有另外一個國家風景區的這個縣市來予以協助我覺得這個部分是我們提出一個最重要的一個目標我們希望 觀光署能給明確的答案 謝謝好 謝謝不過 那位陸委員因為我們現在只處理第二幕我們先處理第二幕 處理到43案
transcript.whisperx[203].start 9953.977
transcript.whisperx[203].end 9965.283
transcript.whisperx[203].text 您剛發言的是第三幕第三幕的吳委員這個部分待會再請觀光署來回答我們現在就請觀光署第2幕的觀光業務來做說明
transcript.whisperx[204].start 9968.209
transcript.whisperx[204].end 9994.492
transcript.whisperx[204].text 主席還有各位委員大家很關心國際觀光的這個部分然後針對像坤澤委員特別提到說我們的四大策略那目前其實像我們的全球宣傳多元併進多元影客這幾年基本上成績是看到了現在確實像歐美人士跟過去比較少來台灣的這塊確實是看到了那這個事情是然後另外是每個市場都有它適合的像觀光代言人
transcript.whisperx[205].start 9995.032
transcript.whisperx[205].end 10014.748
transcript.whisperx[205].text 像我們今年四月份呢邀請了像越南的代言人來到我們的高雄內門吃飯的那個的市場在市場的反應是非常好的就是說透過這種代言人來到台灣的主題性的旅遊方式我覺得慢慢整個成效是看到了當然我們的努力還是要持續加強因為整個大環境真的變化很快
transcript.whisperx[206].start 10015.589
transcript.whisperx[206].end 10043.563
transcript.whisperx[206].text 那另外是分眾行銷跟整合佈局我們這幾個月基本上一直在跟很多的單位包含像郵輪還有像我們的駐外會議會在針對每個不同的市場它的每一個狀況的改變我們都在做這樣子跟署本部這邊做對應的準備所以這塊的部分然後另外是我們觀察到我們為什麼今年擴大就是雙輪驅動會去提所謂的重遊課
transcript.whisperx[207].start 10044.844
transcript.whisperx[207].end 10059.249
transcript.whisperx[207].text 那最主要是我們觀察我們兩三年內的重流率大概是五十幾趴左右我們認為不夠所以我們希望說增加這塊的部分所以今年的重點放在重流課希望延長停留跟深度的消費
transcript.whisperx[208].start 10060.169
transcript.whisperx[208].end 10074.382
transcript.whisperx[208].text 那另外是在像我們現在的我們的淘機真的就是來過境的非常的多所以我們也提供了像有消費券啊高鐵買一送一啦還有像跨鴻的轉行這塊的部分
transcript.whisperx[209].start 10075.183
transcript.whisperx[209].end 10100.645
transcript.whisperx[209].text 目前看起來整個的狀況都比過去再好那今年度的主要的人數就是來台旅客的目標我們希望追求就是每年固定9%的成長所以去年是857萬今年我們的目標是希望930萬我相信委員們都知道大家剛剛提到了目前觀光的困境不然景點重複啦跟設施老舊等等其他都是結構性的問題
transcript.whisperx[210].start 10102.046
transcript.whisperx[210].end 10112.523
transcript.whisperx[210].text 其實結構性的問題要馬上一年之間改變是不容易的所以我們希望做質量並進希望在整個服務品質跟觀光環境的準備工作都一定要來進行
transcript.whisperx[211].start 10114.935
transcript.whisperx[211].end 10137.847
transcript.whisperx[211].text 所以這個部分是我們還持續在繼續要努力的那江浩委員特別提到那個就是3億支持那個國際其實台灣不是我們不是沒有看到新加坡的案例但是呢台灣的模式很難走新加坡的案例因為我們的預算結構預算的模式不太一樣
transcript.whisperx[212].start 10138.667
transcript.whisperx[212].end 10153.376
transcript.whisperx[212].text 我們去年其實因為我自己管過場域我很清楚要辦大型的捷徑活動沒有兩年前先敲場地是不太可能的但是兩年前的狀況我的預算在哪裡我不知道所以我們只能就借力使力
transcript.whisperx[213].start 10154.016
transcript.whisperx[213].end 10180.997
transcript.whisperx[213].text 就是針對我們去年接觸的時候是想知道說如果他有意思想來的這種一起合作這種方式但是以到目前為止我們認為說我們就直接已經選定跟知名的要來那這種我們希望說增加停留的等於是我們的策略上是借力使力第二個是增加留宿跟停留台灣的時間第三個是如果他能在台灣停留時間增加在台灣我說明星
transcript.whisperx[214].start 10181.898
transcript.whisperx[214].end 10195.714
transcript.whisperx[214].text 它就會創造未來跟著明星來台灣旅遊的模式那這件事情其實市場的瞬息萬變我們過去在整個演唱會經濟其實我們的經驗也差不多
transcript.whisperx[215].start 10196.855
transcript.whisperx[215].end 10224.233
transcript.whisperx[215].text 这几年才是比较明显的所以我们也希望说委员们支持我们今年这样一个做法希望能找到新的模式来行销台湾那这样的状况呢在国际透过我们16个驻外点也可以去做宣传同时可以让全球知道台湾是有具备办国际性活动的这个条件和能力的那针对鲁明哲委员跟邱若华老委员一直很关心我们北橫的这件事情
transcript.whisperx[216].start 10224.893
transcript.whisperx[216].end 10242.49
transcript.whisperx[216].text 我們現在是這樣子就是說我相信程旭過去也跟委員報告過那我們現在是約了5月27號跟原住民委員會來商量到底如何讓這件事情可以往前推進那因為他還是得要讓跟原住民都完成最難他們同意我們才往前走嘛
transcript.whisperx[217].start 10243.03
transcript.whisperx[217].end 10270.621
transcript.whisperx[217].text 那這塊如果跟原住民委員會商量可以再往前我們就會找這三個跨這三個單位的地方政府也再來討論一下這是避免還是得要由主行政單位就是縣市提出來因為我們也避免全員監裁判但是我們願意一起來協力看看怎麼來前進那針對旅宿或者電子支付的狀況是這樣電子支付我們跟金管會跟經濟部其實有做過商量
transcript.whisperx[218].start 10271.221
transcript.whisperx[218].end 10286.458
transcript.whisperx[218].text 其實他的重點不在於說他能不能普及而是業者有時候是很怕這件事情跟繳稅掛鉤所以輔導呢金管會跟經濟部都很認認地在做推動在做輔導其實也都給予滿不錯的恩惠
transcript.whisperx[219].start 10287.159
transcript.whisperx[219].end 10313.912
transcript.whisperx[219].text 那公安署這邊呢會在幾個13個管理處我們盡量做像獎勵的方式我們未來有些的比如說我們商圈的我們觀光圈的活動啦或者是說到國外參展啦或者是我們自己相關的一些希望說以有電子支付的為優先我們來獎勵他們來帶動他們等於是說你開始做電子支付呢我們會把商機帶給你這個部分也是我們相關的專程那旅宿的部分呢
transcript.whisperx[220].start 10314.432
transcript.whisperx[220].end 10331.939
transcript.whisperx[220].text 因為現在台灣的旅遊模式大家就是全部太過集中在週末那最近我們也先後說跟各地方政府也商量一下如何讓可能有些的活動呢要辦在中間因為全部大家辦在週末的時候呢就是那個時間接待能力也有限就全部就是以價格來漲
transcript.whisperx[221].start 10332.779
transcript.whisperx[221].end 10358.357
transcript.whisperx[221].text 所以這件事情我希望說未來我們開那個首長會議的時候我要跟各個行政單位來溝通有沒有強勢型的產品不管它是不是禮拜六禮拜天基本上他們都會願意來的那這個部分呢逐步逐步百分比調整有一些是在周間來辦理我相信它就會帶動一下我們周間的活動跟住宿的部分也會做一點調整這個是已經開始在跟各縣市來做這樣的溝通
transcript.whisperx[222].start 10359.578
transcript.whisperx[222].end 10388.685
transcript.whisperx[222].text 然後OTA平台部分我們因為軍線委員也非常關心這個事情我們有在跟OTA平台溝通第一個是OTA平台現在願意來協助我們去查出非法旅宿這個部分只要是非法我們就是說有合法旅宿的標章如果他是非法旅宿他願意配合我們讓他下架這個部分他現在是同意的那第二個是說我們對但是這些是有業務人員在台灣的這塊還可以溝通那有些是沒有的時候我們當然會去函
transcript.whisperx[223].start 10389.505
transcript.whisperx[223].end 10406.077
transcript.whisperx[223].text 還是要跟他們做這樣一個要求這個是大概我們先用這樣方式先來處理那再看看整個執行的狀況怎麼樣然後再跟委員做報告是不是以上先就這個部分來報告 謝謝好 謝謝好 請黃建華 趙偉好謝謝趙偉 謝謝署長說明但是聽完說明我還是沒辦法支持我想這樣講因為其實
transcript.whisperx[224].start 10411.52
transcript.whisperx[224].end 10431.696
transcript.whisperx[224].text 你剛提到說就是你的宣傳的你是經典叫借力使力那我就剛剛提了嘛這些歌迷他本來就因為他喜歡的團體他就會來了他本來就會來那他來了之後我的飯店有沒有折扣或是我台灣有沒有自他留下來的地方等等的這個應該是觀光組本來你的業務在其他的項目裡面做好
transcript.whisperx[225].start 10432.276
transcript.whisperx[225].end 10446.555
transcript.whisperx[225].text 他來台灣他好不容易來了那他要不要留下來玩他要不要在那邊消費是相關整個台灣要不要讓他留下來玩不是說你花了三億元宣傳這件事情他就會來那這個三億元我講的是說如果今天你是花三億元請
transcript.whisperx[226].start 10449.118
transcript.whisperx[226].end 10463.232
transcript.whisperx[226].text 買斷或是請哪個團體他來台灣表演他可以帶來大量的商機我想我們會支持可是今天不是今天他本來就要來辦售票演唱會然後你去宣傳這件事情去行銷說你剛剛提到說要讓外館去宣傳可是
transcript.whisperx[227].start 10464.173
transcript.whisperx[227].end 10484.323
transcript.whisperx[227].text 核心問題是說那請問一下誰需要知道這件事情不就是這些像比如說這些韓團或這些搖滾樂團他們的經紀公司嗎那這個事情不是本來外館他去跟他講跟他溝通跟他知道去去去去demo這件事情他們就會知道了你去花三億元宣傳說台灣可以辦演唱會你的目的在哪裡就是說你要對誰宣傳這件事情
transcript.whisperx[228].start 10485.783
transcript.whisperx[228].end 10508.629
transcript.whisperx[228].text 因為今天歌迷他要來他是看樂團看韓團看哪些團體他來台灣他在全世界任何地方表演他去新加坡去越南去台灣去香港去哪裡都一樣他們去了人就去了跟你有沒有花三億是無關的所以我覺得這件事情還是要再斟酌啦如果今天沒有辦法有公司我覺得就保留送協賞好不好以上謝謝這個可以讓我再說明一下嗎不好意思來請說明
transcript.whisperx[229].start 10509.489
transcript.whisperx[229].end 10533.021
transcript.whisperx[229].text 委員說的是也對啦但是我們要的是說有些時候他是因為來聽演唱會他可能就是來三天就走了但是我們希望他stay longer所以我們希望說邀請跟OTA就是說我們希望這個部分讓OTA可以去綁一下這件事情讓他變成一個更長的時間的旅遊可以留在台灣的時間更久留在台灣的時間更久他的消費力就會再更長嘛
transcript.whisperx[230].start 10533.641
transcript.whisperx[230].end 10549.917
transcript.whisperx[230].text 這個就是最主要我們希望說借力使力因為以到現在目前為止我們預算都還無法確定的時候我們能談的合作也不是夠確定所以希望說如果願意支持我們希望今天就可以支持我們才能開始啟動做相關的作業抱歉謝謝
transcript.whisperx[231].start 10552.399
transcript.whisperx[231].end 10568.748
transcript.whisperx[231].text 各位委員那我們來處理預算其實觀光署我們看很多委員的發言基本上都是對觀光署就是我們的成效大家提出了一些的質疑那過去我們署由觀光局升格為署
transcript.whisperx[232].start 10569.588
transcript.whisperx[232].end 10588.003
transcript.whisperx[232].text 在立法院我們委員也都支持基本上就是希望觀光署有更大的一個組織彈性能夠有更好的一個成績所以對於各位委員所關心的事項我們剛剛看到有提出刪減 也有提出凍結
transcript.whisperx[233].start 10589.504
transcript.whisperx[233].end 10606.114
transcript.whisperx[233].text 這樣好了 各位委員如果我們就3.2千萬然後我們都凍結1億不知道大家 各位委員的意見意見如何都得保留啦 好不好趙委 這個 好我們這樣好了 趙委說要全案要保留信託結算各位有沒有意見
transcript.whisperx[234].start 10608.835
transcript.whisperx[234].end 10622.545
transcript.whisperx[234].text 我是覺得相關的預算對於推動觀光的業務來講是極其重要尤其是在2019疫情之後其實我們相關的預算
transcript.whisperx[235].start 10623.786
transcript.whisperx[235].end 10644.633
transcript.whisperx[235].text 交通委員會雖然有給予支持但是我在過去就一直覺得我們相關的預算編列還是不足那在疫情期間我們除了跟世界各國一樣對相關的業者以及相關的旅遊有優惠的補助之外其實在當時不管是韓國的
transcript.whisperx[236].start 10646.813
transcript.whisperx[236].end 10674.479
transcript.whisperx[236].text 觀光公社或是像日本的旅遊推動香港的機票優惠新加坡等等的這種優惠的這樣的一個加強之外他們也對他們旅遊的體質做更基本的一個改善那很可惜我們在那時候有做這樣的一個優惠的補助以及對業者的補助但是我們對於觀光升級改善體質在那個時候做得不夠
transcript.whisperx[237].start 10675.359
transcript.whisperx[237].end 10689.924
transcript.whisperx[237].text 所以現在我們也面臨到很多的這樣的一個問題那我還是認為公共的預算應該要給予支持這對台灣的這個公共產業旅遊產業來講是非常重要的
transcript.whisperx[238].start 10690.484
transcript.whisperx[238].end 10705.222
transcript.whisperx[238].text 那以這個演唱會經濟來說我想一個演唱會經濟的成型它是必須經過長久的基礎的建設以及相關的行銷推動
transcript.whisperx[239].start 10706.623
transcript.whisperx[239].end 10725.368
transcript.whisperx[239].text 整個才能造就有天王天后天團來造成這種票房的秒殺的這種盛況它是經過很長一段時間的這樣的一個進化以高雄為例高雄在當年
transcript.whisperx[240].start 10727.268
transcript.whisperx[240].end 10743.721
transcript.whisperx[240].text 開始五月天的演唱會跟黃色小鴨引起熱潮之後不管是在交通的運輸還有相關活動的行銷以及跟國外人員的接觸相關的這樣的一個
transcript.whisperx[241].start 10745.819
transcript.whisperx[241].end 10764.961
transcript.whisperx[241].text 演唱會或大型活動是經過了將近20年的這樣的一個努力所以說我們也希望不管是桃園或是台中也經由高雄過去的經驗來作為演唱會或大型活動
transcript.whisperx[242].start 10765.922
transcript.whisperx[242].end 10791.233
transcript.whisperx[242].text 的一個重要的地方所以這個3億的經費如果刪掉1億凍結2億這是讓重要的這樣一個都會不管是未來舉辦演唱會或是大型活動喪失了一個很重要的先機那這個署長也應該跟交通委員會各個委員來說明我們相關
transcript.whisperx[243].start 10792.273
transcript.whisperx[243].end 10816.87
transcript.whisperx[243].text 這樣的一個演唱會相關的這樣一個行銷打下基礎重要的用途到底是要怎樣來做處理讓委員可以來支持那其實相關的這樣的一個演唱會經濟是很多年的一個努力用很大的資源不過黃建豪召委剛才提到
transcript.whisperx[244].start 10818.471
transcript.whisperx[244].end 10840.931
transcript.whisperx[244].text 有一點是非常重要的我也非常認同就是說演唱會經濟不是來看演唱會而已是演唱會經濟它可以提前到晚一點走然後透過這樣一個演唱會或大型活動所帶來整體的區域旅遊的一個附加價值這是非常重要的
transcript.whisperx[245].start 10842.072
transcript.whisperx[245].end 10859.525
transcript.whisperx[245].text 這個都是觀光署在提到這個預算或是未來的運用以及未來的一個觀光旅遊的推展黃建豪委員講的這個就是重點那希望你們去做一個簡單有力的說明以上好 這個請巡迴委員
transcript.whisperx[246].start 10863.893
transcript.whisperx[246].end 10892.507
transcript.whisperx[246].text 謝謝召委我想後疫情時代的這個旅遊模式的一個轉變那從過去的一個景點的一個觀光旅遊那我想已經推展到所謂的一個體驗型的一個旅遊那尤其從高雄經驗的這個演唱會的一個經驗我們可以發現帶來非常龐大的一個商機那尤其這個最新不是只有臺灣人甚至連日韓很多的這個最新族都會來其實對我們臺灣的觀光產業一定有一定的相對的注意
transcript.whisperx[247].start 10893.047
transcript.whisperx[247].end 10909.704
transcript.whisperx[247].text 那我非常支持我們李昆哲委員的一個看法那當然我想剛剛黃敬堯召委提到的部分我也贊成說其實未來如果說觀光署針對這樣大型演唱會在舉辦的時候應該也可以事先跟我們地方政府或我們相關的這些風雲慾管理處
transcript.whisperx[248].start 10910.845
transcript.whisperx[248].end 10937.516
transcript.whisperx[248].text 怎麼樣再增加這些加值性的一些觀光的一些服務的項目讓大家來不要兩天一晚甚至可以三天兩夜五天四夜更好那如果增加這樣的一個觀光消費的一個誘因那我也支持說這個觀光預算應該是要再增加不然要讓你們做事又不讓你們糧草也不好啦那尤其我想這個推展觀光已經非常不易了應該要支持觀光預算然後讓我們的觀光產業更加的發展謝謝
transcript.whisperx[249].start 10940.197
transcript.whisperx[249].end 10945.261
transcript.whisperx[249].text 其實在這個案子裡面它是一個強化國際觀光動能方案裡面它有四個指項目其中一條項目就是這個國際標竿性演唱會支持方案那其他三條都是
transcript.whisperx[250].start 10957.791
transcript.whisperx[250].end 10984.345
transcript.whisperx[250].text 就是剛剛其實蘇珊剛剛講要怎麼留客要怎麼讓人家願意留下來消費所以那三個基金的部分那三個預算我是完全沒有動我連凍結都沒有凍結我也沒有要刪啦但是我今天講的是說因為這個國際表演唱會製程方案我們問了那包含新聞上也披露了嘛他的做法是說針對今年第四季要來台的大型場館演唱的藝人透過標籤方式請藝人在社群平台上PO文他要來台灣辦演唱會
transcript.whisperx[251].start 10985.966
transcript.whisperx[251].end 11013.72
transcript.whisperx[251].text 他要來台灣辦演唱會這件事情不用你花錢請他PO文他應該就會PO文說我今年什麼時候要去什麼國家的什麼城市的哪個體育場辦演唱會所以我今天講的是這件事情就是說你為什麼要花錢做這個事情呢就是我沒有反對你去留客你要去補助他你要旅館給他補助你要車票給他補助你甚至機票給他補助我都沒有意見他只要願意來然後來台灣帶動消費我都可以可是我今天不懂的是說今天這個國際明星的他已經大明星了
transcript.whisperx[252].start 11014.6
transcript.whisperx[252].end 11033.003
transcript.whisperx[252].text 不管是泰勒斯基也好或者是剛剛講的BTS也好 其他的其他團體也好他要來台灣表演這件事情不需要我們觀光署緊上貼花再給他錢送他錢或是幫忙宣傳說他要來喔大家趕快來我覺得這是兩件事情他要來我們很歡迎那甚至你用其他場館免費用其他的旅宿方案
transcript.whisperx[253].start 11033.684
transcript.whisperx[253].end 11050.952
transcript.whisperx[253].text 支持他們來我覺得都OK我們在其他方案上我們提到了這個基金底下面有四個方案有留課的有很多支持方案裡面是這一個很奇怪就是為什麼我要花三億元請他幫他宣傳這件事情他本來就會自己宣傳所以我覺得這個還是如果今天講不清楚我覺得還是保留到後面去協商大家來討論謝謝
transcript.whisperx[254].start 11053.274
transcript.whisperx[254].end 11080.831
transcript.whisperx[254].text 好 謝謝 盧明哲委員那我就補充問一下啦其實現在都已經有答案了這個不用在那邊猜謎了因為現在剛好去年算比較完整現在是五月底 馬上就六月了只要是有一線的國際知名的這些影星或者歌星要來台灣其實現在已經八成到九成必須抵頂所以你們心裡按理說城市要辦也好要跟你身體這個基本第一個我希望你直接說好了
transcript.whisperx[255].start 11081.811
transcript.whisperx[255].end 11107.814
transcript.whisperx[255].text 第四季從九月開始十月開始現在到底是在哪些城市因為你這是一個支持方案簡單來講就是非常可能就是補助方案所以城市在哪裡他需要補助多少經費那你大概方向也說一下也就是說今天的不管是三億或者三億中間有多少是屬於這個支持一個方案到底落在哪個城市到底情況是如何補助什麼項目
transcript.whisperx[256].start 11108.955
transcript.whisperx[256].end 11123.369
transcript.whisperx[256].text 還是說其實就是你就是乾脆是補助一個城市其他做什麼你也不知道不是他潑不潑紋那所以他到底這個補助的方式你們要補助在年底哪一個部分可以直接說明好不好謝謝
transcript.whisperx[257].start 11127.076
transcript.whisperx[257].end 11143.468
transcript.whisperx[257].text 謝謝 觀光署要補充說明嗎這個應該不是我們現在確實跟委員提的一樣你到現在目前大家第四季大概全部都知道了那知道我們不會只選擇一個案子那目前能辦國際型的演唱會大概就是高雄跟台北
transcript.whisperx[258].start 11144.148
transcript.whisperx[258].end 11166.106
transcript.whisperx[258].text 就只有這兩個地方是目前是有條件的那我們不是用補助案是用採購的方式所以有我們自己的要求跟條件比如說他一定是要能完成在這裡的區域的旅遊所以我們一定要他要跟OTA的合作那細節部分我是不是請我們國際組組長來講更清楚一點各位委員好 國防署這邊做簡單的補充說明
transcript.whisperx[259].start 11167.987
transcript.whisperx[259].end 11184.003
transcript.whisperx[259].text 第一個當然我們在執行這個案子裡面我想我們是把國際型的演唱會當作一個宣傳的管道它是一個宣傳的管道那沒有錯就如同剛剛委員有提到說這個藝人要來他一定會跟大家說他在哪裡辦
transcript.whisperx[260].start 11184.944
transcript.whisperx[260].end 11203.638
transcript.whisperx[260].text 那我們的確是希望借力使力來藉由投入預算的方式來讓他擴大對台灣的介紹那這裡面我們後續要進行的方式主要是用標案的方式來進行那標案的部分當然會包含了我們希望藝人在辦這個演唱會這個訊息波的這個強度能夠變強
transcript.whisperx[261].start 11204.699
transcript.whisperx[261].end 11226.767
transcript.whisperx[261].text 那當然我們也理解藝人他除了吸引一般的粉絲之外當然他也會吸引到一般對這個產業或這個明星形成有注意到一般的消費群眾所以我們的確是希望透過演唱會在台灣辦理的過程透過藝人的管道來加強台灣在不同族群的這個宣傳的強度這是第一個我們要做說明的
transcript.whisperx[262].start 11227.347
transcript.whisperx[262].end 11253.503
transcript.whisperx[262].text 第二個在支持相關性的演唱會的這個訊息曝光的過程裡面我們當然也希望讓海外的消費者知道台灣其實不只只有觀光這個選項而已而是有其他更多的活動可以參與並且透過來參加活動的模式來停留在台灣能夠停留的更久這個消費更多我想這是我們第二個想要做的事情那第三個當然就是希望在這個標案裡面
transcript.whisperx[263].start 11254.844
transcript.whisperx[263].end 11270.94
transcript.whisperx[263].text 能夠結合OTA在進行相關的產品的販售的過程裡面不只是吸引粉絲能夠這個在台灣停留的更久這個在不同的地方進行消費那另外一方面也透過OTA這個宣傳管道能夠讓
transcript.whisperx[264].start 11272.822
transcript.whisperx[264].end 11290.747
transcript.whisperx[264].text 使用OTA這個群眾裡面也發現到說台灣也有類似的產品可以購買未來能夠以台灣當作一個它的旅遊目的地我想這個也是我們在做國際宣傳裡面我們第一次嘗試想要透過不同的管道來宣傳台灣的觀光來增強台灣的國際的知名度以上說明
transcript.whisperx[265].start 11295.891
transcript.whisperx[265].end 11314.985
transcript.whisperx[265].text 直接國際組了我非常有興趣因為標案都已經寫好了簡單來講就你標案那個方向不管是一個開口合約或者你有實際你們來招標那更清楚了就請問一下你現在要招標要單位是什麼是一個顧問公司還是什麼樣的公司現在你招標的是3億
transcript.whisperx[266].start 11317.146
transcript.whisperx[266].end 11340.934
transcript.whisperx[266].text 整個飆出去是一個開口回憶還是只針對一個案子還是這個歌星都是由你們請到底這三億到底在花什麼你剛剛講什麼有什麼禮品啊什麼東西那可能地方政府做可能他們自己都會去辦甚至歌手他自己都會帶來你到底要做到底這個三億到底要做什麼然後第二個現在已經知道目前是到底只有兩個地方嘛
transcript.whisperx[267].start 11342.199
transcript.whisperx[267].end 11368.349
transcript.whisperx[267].text 台北高雄大概狀況是如何會在哪裡去辦你們到底投入多少的一個經費不過你能不能講清楚現在台北高雄這個我們馬上通過的到底在哪裡辦然後大概可能性最高第二個你到底得標是什麼樣的公司他具體要做什麼他做一些禮品出來去賣還是怎麼樣這個錢根本是歌手你們請的或者怎麼樣你直接可以講清楚一下謝謝
transcript.whisperx[268].start 11370.239
transcript.whisperx[268].end 11394.994
transcript.whisperx[268].text 那這個鋼路委員關心的事項你們要跟路委員再做說明清楚那我們現在直接處理預算因為對第38案各位委員有非常不同的意見所以我們就第38案黃建豪召委他只對這個案子就國際標竿型演唱會支持方案這三頁的預算我們就保留送協商
transcript.whisperx[269].start 11395.894
transcript.whisperx[269].end 11422.105
transcript.whisperx[269].text 那其餘的公關業務我們就刪減不表辦 凍結五千萬那請公關署一個月內就剛各委員有發言要求的順便報告一個月內提出來 實在動之可不可以增加 就是說那個刪減的部分呢就是請委員同意科目自行調整好 科目可以自行調整謝謝好 各委員這樣有意見嗎沒有的話我們就這樣處理好 謝謝接下來請各位委員我們繼續看
transcript.whisperx[270].start 11423.886
transcript.whisperx[270].end 11436.315
transcript.whisperx[270].text 第44到57案第3目的國家風險區域開發與管理 各位有意見嗎其中第48案第56案已經改為主決議
transcript.whisperx[271].start 11439.517
transcript.whisperx[271].end 11456.549
transcript.whisperx[271].text 那魯明澤委員剛剛也有發言了那是不是就請公安署先回答魯明澤委員剛剛的那個詢詢是 魯委員因為一直都很關心北橫的這件事情我們現在是約了那個園民會5月27號的時候跟園民會先討論一下這件事情可以怎麼進行
transcript.whisperx[272].start 11457.97
transcript.whisperx[272].end 11481.758
transcript.whisperx[272].text 那這個部分後續呢如果說雙方合作上面可以的話我們會再邀請三個縣市的就是橫跨三個縣市的部分大家再來討論可以讓這件事情看看怎麼可以推進因為我們畢竟是審議單位所以說我們可以把一些相關的方法或者是怎麼樣來進行這個部分先讓委員知道那後續的狀況再跟兩位委員報告好不好
transcript.whisperx[273].start 11484.319
transcript.whisperx[273].end 11508.533
transcript.whisperx[273].text 好 請羅委員這樣我比較在乎就是因為你們整個觀光署的一個預算一個結構其實有蠻多在地方軟硬體的觀光的一個活動其實都在我們國家風景區我在談的是這個啦如果說假設不管桃園跟部分的縣市在十年之內謝謝你們推動它還是沒有成立一個新的國家風景區這是非常的一個可能性嘛
transcript.whisperx[274].start 11509.233
transcript.whisperx[274].end 11534.285
transcript.whisperx[274].text 那你不可能每年三十幾億編了十年三百多億你們這幾個完全都沒有份因為畢竟這個預算換到最後都是一個觀光的一個能量跟活動我卻不要忘記桃園就是說如果說你在國家風景區裡面所以我剛才講你們要不要研擬一個說目前已經有提案了在成立的這些縣市有一個輔導的機制是由周邊的國家風景區
transcript.whisperx[275].start 11536.976
transcript.whisperx[275].end 11548.545
transcript.whisperx[275].text 適當的編一些預算也能夠在這裡辦軟體的活動或者硬體的建設我覺得你這個大概就能夠解決我大部分的問題可不可以朝這個方向來去研究一下好謝謝請光組來
transcript.whisperx[276].start 11552.828
transcript.whisperx[276].end 11577.282
transcript.whisperx[276].text 就是說觀光署的經費過去也會支持地方政府在觀光環境的整備的工作嘛這個部分也是有的但是在跨區域的這個合作上面我們是用觀光圈的方式一起把一些活動互相辦在彼此的地方上這個目前也在推進所以說我記得我們桃園市珍珠海岸是吧那塊也是觀光署有來做支持這個項目過去也是有
transcript.whisperx[277].start 11577.742
transcript.whisperx[277].end 11590.217
transcript.whisperx[277].text 那今年看起來的好像覺得整個國家風水管理區的經費是有增加最主要是我們有那個北回之巔的經費是落在這裡面所以是編在他們裡面向下去執行大概是這個樣子好 謝謝
transcript.whisperx[278].start 11599.888
transcript.whisperx[278].end 11617.103
transcript.whisperx[278].text 好 謝謝各位 我們來處理預算那我們第三幕的國家風景區開發與管理我們就凍結兩千萬那並請公務員在一個月內提出書面報告那個三個月三個月啦 三個月內提出書面報告 使得凍結
transcript.whisperx[279].start 11618.564
transcript.whisperx[279].end 11646.279
transcript.whisperx[279].text 好 各位委員接下來我們繼續看58案開始的主決議第58案各位委員各位委員有意見嗎公安署 58案我們希望說把一個月的部分改成三個月好 改三個月各位有沒有意見沒有的話我們照修正通過第59案也是把兩個月改為三個月好 兩個月不要裝 就是提成書面報告
transcript.whisperx[280].start 11647.359
transcript.whisperx[280].end 11674.165
transcript.whisperx[280].text 好三個月內第五十報告主席第五十九案是專案報告還是書面報告他改為書面報告那三個月內基準改為三個月是各位有沒有意見沒有的話我們就修正通過第六十案也是專案報告改為書面報告然後是兩個月改為三個月好這三個月內改為提出書面報告對好 修正通過第六十一案
transcript.whisperx[281].start 11677.478
transcript.whisperx[281].end 11696.268
transcript.whisperx[281].text 就是把書面報告兩個月改為三個月好61案修正通過改為三個月提出書面報告修正通過62案也是書面報告兩個月改為三個月好兩個月改為三個月提出書面報告照修正通過第63案也是兩個月改為三個月
transcript.whisperx[282].start 11697.145
transcript.whisperx[282].end 11716.401
transcript.whisperx[282].text 好 六十三案 兩個月改為三個月內提出書面報告 使得動之修正通過 六十四案遵照辦理六十四案通過 六十五案遵照辦理通過 六十六案遵照辦理通過 六十七案是書面報告改為三個月
transcript.whisperx[283].start 11717.888
transcript.whisperx[283].end 11725.076
transcript.whisperx[283].text 三個月內提出書面報告修正通過 六十八案改為三個月內提出書面報告六十八案修正通過六十九案通過七十案通過七十一案
transcript.whisperx[284].start 11740.893
transcript.whisperx[284].end 11756.429
transcript.whisperx[284].text 其實議案我們是希望說有沒有機會就是文字修正是啦 觀光署這邊雖然有希望是可以提文字修正嘛不過我這邊原本是說觀光署應該會同各地方政府建立國內旅宿房價監控與異常通報的平台
transcript.whisperx[285].start 11756.909
transcript.whisperx[285].end 11771.502
transcript.whisperx[285].text 主要是平台那我想先請觀光署說明違規裁罰的機制是什麼機制因為我過去也有在院會上面提到現在我國就針對旅宿價格亂象的問題希望民眾他們對目前房價就是
transcript.whisperx[286].start 11772.603
transcript.whisperx[286].end 11790.42
transcript.whisperx[286].text 的波動非常有意見那是希望可以透過這個平台他們能夠去申訴去反映那我這邊想先了解觀光署你們的機制是什麼什麼樣的機制好 請松明謝謝就是旅宿基本上他們本來他們的房價的最高的那個報價基本上一定要送送
transcript.whisperx[287].start 11791.161
transcript.whisperx[287].end 11806.028
transcript.whisperx[287].text 各機關合備嘛那這塊我們現在目前也因為大家真的很關心房價的問題所以現在各縣市只要辦大型的活動他們就加強查緝到底有沒有超過他們原本的那個報價這是第一個第二個呢第二個是什麼
transcript.whisperx[288].start 11809.197
transcript.whisperx[288].end 11824.181
transcript.whisperx[288].text 那個旅宿 請旅宿組組長再補充一下來 請說明我跟各位委員報告就是那個俱樂園這部分我們那天有跟辦公室來做溝通了解說那個委員這部分的關心的部分
transcript.whisperx[289].start 11824.801
transcript.whisperx[289].end 11844.872
transcript.whisperx[289].text 因為所以說我們就想說那個把文字就是異常通報平台改為違規裁罰機這部分就是因為目前大概一般的民眾發現這個房價這個有問題這部分他們會透過就是跟縣市政府或相關單位或消保這部分來做反應
transcript.whisperx[290].start 11845.692
transcript.whisperx[290].end 11869.745
transcript.whisperx[290].text 那這一塊我們會遵照委員的指示我們會跟地方政府再加強看怎麼再來處理會能夠更積極讓民眾這一部分能夠直接跟我們這部分的機制來做一個更好的反應跟回饋我這邊之所以會要求說要一個平台就像你剛才說的
transcript.whisperx[291].start 11870.365
transcript.whisperx[291].end 11898.536
transcript.whisperx[291].text 通常民眾遇到這樣子的爭議他們只能透過地方政府或是打1999或是消保的方式來去反映我們都是案件一件一件的來去處理為什麼我們這邊不能有一個平台就是讓民眾譬如說在演唱會期間或是在就是觀光旺季的時候一定很多這樣子的案例跟邱委員報告我其實知道你想要做的那個項目但是坦白講有難度因為它不是買房子它是賣房間每一天的動態狀況
transcript.whisperx[292].start 11900.057
transcript.whisperx[292].end 11920.334
transcript.whisperx[292].text 很多元所以其實署長您說的多元是多元是指說假設呢因為它價格的波動很高對不對因為房間數是幾萬件案件只會是只有一兩件嗎我相信在各個縣市都有這樣子的問題所以這種狀況現在只能講就是說如果你欲有爭議你就來提出申訴申復我們去查證
transcript.whisperx[293].start 11921.295
transcript.whisperx[293].end 11947.4
transcript.whisperx[293].text 現在目前這件事情是很花人力沒有錯但目前看起來比較能執行的大概目前還是走這個方式因為我們不太可能像什麼591住屋網就是奶丸房子它有實價登錄不太可能這件事情它每天的動態狀況很多現在是指的是議場的通報一個通報的平台你們再去跟各縣市政府再去做演繹能不能做這樣子的平台
transcript.whisperx[294].start 11949.048
transcript.whisperx[294].end 11967.158
transcript.whisperx[294].text 那我們在文字上面可不可以改成違規裁罰的機制上面那我大概現在了解委員的這個想法跟建議我們在首長會議的時候會把這個問題提出來大家看看用什麼方式見面那個平台不是啊 公安署你今天就訪問你的意見是什麼
transcript.whisperx[295].start 11968.843
transcript.whisperx[295].end 11974.631
transcript.whisperx[295].text 我現在在處理委員的提案我們是修改一下文字的內容因為我是看到違規裁罰機制機制是非常的空泛並沒有解決到問題
transcript.whisperx[296].start 11985.744
transcript.whisperx[296].end 12014.171
transcript.whisperx[296].text 因為這個確實有產生很多消費糾紛確實它價格也是會波動因為市場也是有它的機制因為你那個週末當然會比較貴一點這個大概全世界都一樣只是對於萬一有發生消費糾紛那委員 邱委員意思大概說那你消費者大概還有什麼樣的平台可以反映我們先就邱委員的提案那公務員署你的意見是什麼你如果要做修正要怎麼修正
transcript.whisperx[297].start 12016.232
transcript.whisperx[297].end 12039.45
transcript.whisperx[297].text 是不是可以就是說如果這個委員就是說覺得異常通報平台這一部分那個要不然你就研究不然你嘛好不好那我們是不是可以後面的實售價格這一部分可以因為實售價格真的是會有事務上的困難就我們前面的異常通報平台這一部分我們一次維持價格異常呢如果是真的價格異常呢
transcript.whisperx[298].start 12041.212
transcript.whisperx[298].end 12059.31
transcript.whisperx[298].text 因為我們那個 後面的這個最高房價配查這部分沒有問題那這一案再來溝通就是說 公關署已經會同地方政府研究 辦理 建立柯委員要求的這個平台好不好就是
transcript.whisperx[299].start 12064.722
transcript.whisperx[299].end 12084.784
transcript.whisperx[299].text 國內什麼價格異常通報平台國內旅宿房價就是我們來研議一下建立異常的我同意可以把實售價格就是做刪掉那前面這個平台你們要再去研議好 我們另來研議一下好 那個實售價格那個就把它這樣就把它刪除啦好好那
transcript.whisperx[300].start 12087.086
transcript.whisperx[300].end 12106.976
transcript.whisperx[300].text 最後一段 觀光署應會同地方政府研究辦理建立國內旅宿房價異常價格的通報平台這樣好不好然後接下來那一句要求業者確實將失收價格 那一句就刪掉了
transcript.whisperx[301].start 12107.816
transcript.whisperx[301].end 12129.73
transcript.whisperx[301].text 然後最後那一句在接下去那一句有沒有意見並加強平日價格異常上漲是處罰與宣告最高費查房價公開於台灣旅宿網這也是保留對好這樣可以嗎好那就照修正案通過接下來第72案
transcript.whisperx[302].start 12132.935
transcript.whisperx[302].end 12159.342
transcript.whisperx[302].text 公安署第七項專案改書面書面好我們專案會議同意辦理然後呢刪除一下行政院亦已審定該風景開發計畫這文字然後正式第幾行第二行啦行政院亦已審定這一句話刪掉對到至今嚴重嚴重慈愛到這裡都刪掉了是那其他的
transcript.whisperx[303].start 12160.282
transcript.whisperx[303].end 12183.703
transcript.whisperx[303].text 就是遵照辦理遵照 好 那修正通過好 第73案就是專案報告改為書面報告已經更為一個月內可以嗎都三個月好 三個月內提出書面報告修正通過第74案跟上面一樣好 也是三個月內提出書面報告照修正通過是 謝謝
transcript.whisperx[304].start 12184.924
transcript.whisperx[304].end 12210.607
transcript.whisperx[304].text 好另外另外也跟各位委員報告我們的討論事項三就是接下來直轄市還有縣市政府一般性補助款我們交通部主管的第四目觀光署及所屬又沒有委員提案所以我們就就照列好各位委員那我們現在觀光署的收預算審查就先到這裡告一那我們就休息五分鐘
transcript.whisperx[305].start 12212.441
transcript.whisperx[305].end 12214.534
transcript.whisperx[305].text 接下來審查公路局的預算
transcript.whisperx[306].start 12534.619
transcript.whisperx[306].end 12562.498
transcript.whisperx[306].text 好各位我們現在繼續開會那我們先介紹今天的列席人員我們首先我們歡迎公路局的林埔山局長還有我們主計事的林真玉主任好謝謝各位我們現在開始審查公路局的預算
transcript.whisperx[307].start 12564.042
transcript.whisperx[307].end 12567.457
transcript.whisperx[307].text 我們先看第一案 稅路各位有沒有意見
transcript.whisperx[308].start 12568.837
transcript.whisperx[308].end 12594.75
transcript.whisperx[308].text 我們提案委員不在那第一案我們就不處理我們看第二至三案各位有沒有意見稅出的媒體政策及業務宣導費各位有沒有意見沒有意見好 因為委員不在那我們就不處理我們就不處理第四到四十八案各位有沒有意見
transcript.whisperx[309].start 12600.801
transcript.whisperx[309].end 12607.029
transcript.whisperx[309].text 4-48案是我們第二幕公路及監理業務管理好請李分責委員簡單說一下115年的這種客運的車輛電動化的推動計畫他預算編入的一億兩千萬左右
transcript.whisperx[310].start 12616.44
transcript.whisperx[310].end 12631.948
transcript.whisperx[310].text 那它最重要的目標是要導入先進而成熟的電動公車以及它相關的智慧化以及自動化的一個技術來提升公車的服務的效能等等那這個計畫是113年到119年度
transcript.whisperx[311].start 12636.05
transcript.whisperx[311].end 12662.948
transcript.whisperx[311].text 目標是全國要推動客運車輛電動化那其實各地方政府推動的效率速度也不一樣那公路局應該要針對各地方政府推動的狀況加強協助並且提出相關因應的方案那我本來是要凍結但是經過溝通我可以同意不凍結但是一個月內
transcript.whisperx[312].start 12663.869
transcript.whisperx[312].end 12693.103
transcript.whisperx[312].text 要提出相關的加強推動客運車輛的電動以及過去辦理的成效提出說明報告以上好 謝謝好 各位還沒見邱若驊委員謝謝張偉這邊提出的是第十一案這案是針對公路局監理業務的預算主要是針對車牌懸掛還有撬牌執法標準不清的問題現在法規雖然有高牌
transcript.whisperx[313].start 12693.703
transcript.whisperx[313].end 12720.03
transcript.whisperx[313].text 就是車牌位移指定位置懸掛的法環可是實務上是什麼角度算違規然後要怎麼測量一般改裝跟惡意的竅牌要怎麼區分標準都還不夠清楚那尤其第一線員警在執法的時候常常只能靠目視那昨天就有一個爭議警方是用手機來測量那所以呢我這邊有提出那也希望請公務局要說明這個標準到底是什麼謝謝 以上
transcript.whisperx[314].start 12720.43
transcript.whisperx[314].end 12738.281
transcript.whisperx[314].text 好 謝謝 剛剛各位委員報告我們在第二幕的第九案 二十六案 二十九案 三十三案提案委員都改為主決議好 接下來各位有沒有意見好 請盧委員盧秉哲委員請發言好 謝謝主席
transcript.whisperx[315].start 12747.067
transcript.whisperx[315].end 12765.359
transcript.whisperx[315].text 第16案還是請教一下公務局我們在預算整個編列當然我們監理在相關一些業務其中我們多次接到我們民眾反映在機車要報考的過程每一次大概整個月幾乎都是滿的名額
transcript.whisperx[316].start 12766.3
transcript.whisperx[316].end 12785.937
transcript.whisperx[316].text 然後我們在桃園很多的年輕人他說要到可能馬祖其他的一個地方去考甚至宜蘭那我覺得這個情況是非常非常奇怪那在你們網路報名的怎麼會引發這樣的一個情況所以我們是不是請我們公路局我今天提凍結10%需要我們提出專案的報告
transcript.whisperx[317].start 12789.58
transcript.whisperx[317].end 12812.487
transcript.whisperx[317].text 那你們要如何去優化這些報考的一些能量讓要考駕照的人他都能夠能夠順利在最快最有效的時間能夠到我們監理站去考照我想這個的部分我特別提出凍結10%提出專案報告10多通知以上好 謝謝那龔志群如果有人剛提了這個問題這個確實民眾反應這個名譽很大這個你待會要說明一下
transcript.whisperx[318].start 12818.809
transcript.whisperx[318].end 12846.856
transcript.whisperx[318].text 好 各位委員如果還沒有意見我們就先請公務局來做說明是 主席還有各位委員那剛剛大概就是說昆澤委員還有這個邱委員還有盧委員大概有提三個課題那第一個課題有關於這個李昆澤委員提到電動搭客車這個電動化的部分大概跟各位報告一下確實剛開始113年的時候相關的廠牌不夠多的時候那地方政府還有客戶業者有點遲疑
transcript.whisperx[319].start 12847.896
transcript.whisperx[319].end 12868.883
transcript.whisperx[319].text 所以這個推展的並不是很順利但是從114年到這個今年其實那個速度都跟上來了那這個目前上路營運的部分大概有3000多台那這個合併在打造中的也有1000多台總共有4000多台那都符合目前這個就是到2030年完成全面電動化的一個這個目標
transcript.whisperx[320].start 12870.603
transcript.whisperx[320].end 12886.556
transcript.whisperx[320].text 那剛剛這個委員指示這些相關跟地方政府大家在共同來合作解決這些相關現在遇到的問題比較大的部分大概就是這個充電廠的這個部分那我們跟台電都有在這個做這個合作來跟地方政府解決這些相關的一個課題
transcript.whisperx[321].start 12887.336
transcript.whisperx[321].end 12903.31
transcript.whisperx[321].text 那第二個部分剛剛邱委員所提到就是說那個號最主要大概是機車啦就是機車這個號牌不依指定位置這個來選來這一個懸掛的部分那這個部分的話大概這個一年啦一年大概這個舉報數大概有三百多件
transcript.whisperx[322].start 12904.091
transcript.whisperx[322].end 12931.147
transcript.whisperx[322].text 那這個部分的話之前我大概也找過警政署大家來這一個開過會那目前經濟機關判斷的跟這個警政署預定的部分是這一個差不多我們剛剛提的那個部分基本上大概警政署他們自己認定是一個比較個案的一個情況但是未來通案如何去做處理的部分我這邊大概也跟社安中心這個就是說也開過這一個兩次會了
transcript.whisperx[323].start 12932.908
transcript.whisperx[323].end 12957.808
transcript.whisperx[323].text 那這個對於這個就是說原廠出來這個號牌價的位置基本上在歐盟在美國還有日本都有一些這個角度的一個這個規定比如說45度42度這個等等的部分但是後來這個盤完之後現在內容到一個這個課題啦就是已經這個如果說即使採用國外這個最寬鬆大概是15度這樣子角度來看的話
transcript.whisperx[324].start 12958.388
transcript.whisperx[324].end 12986.281
transcript.whisperx[324].text 那國內這個1萬領排的部分還有將近30萬輛他那個角度是有點這個就是可能是比較大一點所以這個使用中未來如果說綠電這樣子的標準那使用中適合車輛如何去做處理這部分的話還要再跟檢控署跟其他單位做一個討論所以我這個部分大概跟委員報告說已經有在做處理但是有使用中這些數量還蠻龐大的部分未來要怎麼去做處理這個是一個課題那但是已經有在處理當中
transcript.whisperx[325].start 12986.901
transcript.whisperx[325].end 13015.735
transcript.whisperx[325].text 那剛剛這個羅委員所提到這個機車這一個考照的部分這部分我大概也跟這一個委員報告目前機車考照大概分兩個管道一個是這一個駕訓班的管道那另外一個部分就是個別報名的部分那委員關切的大概就是個別報名的部分那個別報名的部分的話我之前大概也羅委員所提到這個課題確實是實務上有發生的問題那目前局裡面大概朝幾個方向來做處理
transcript.whisperx[326].start 13016.295
transcript.whisperx[326].end 13042.785
transcript.whisperx[326].text 第一個部分就是說以往考照的時候只能預約到考照的前7天那現在這個放寬到這個預約可以就是考照那天的前3天所以增加了4天可以做預約那第二個部分的話以往也發生我們去簽完之後很多去預約完之後沒有去考照所以後來這個決定在4月份就是加了停選的一個部分你第一次如果預約沒來的話
transcript.whisperx[327].start 13044.085
transcript.whisperx[327].end 13066.75
transcript.whisperx[327].text 你這個15天之後才能夠報名你如果第二次在這個預約再沒來的話就要一個月之後所以這個停權的機制一進來之後原來大概實際到考慮大概75%現在已經提高到91%所以以前會佔空額的那個部分一下子我們在跑完之後多了一年大概多了7萬的一個這一個名額出來
transcript.whisperx[328].start 13067.31
transcript.whisperx[328].end 13092.908
transcript.whisperx[328].text 那第二個部分我們大概也提到確實在各地地區這個實際需求可能會這個不一樣因為到暑假的時候像桃園可能這個有些學生比較多或等這個等等部分的話所以我們在這個上個月就要求經理機關全部再增加百分之這個百分之十的部分那百分之十的一個部分的話大概目前局裡面都有在控管看看每天的一個部分
transcript.whisperx[329].start 13093.709
transcript.whisperx[329].end 13116.369
transcript.whisperx[329].text 那如果說這個有這個比較緊迫的部分的話大概盡可能就是要求建立機關去這個加開那但是我也跟委員報告這個加開的部分也牽涉到建立機關的這個人力的一個考量那後面的部分的話我們在六月底大概會有一個線上監控的系統就是說如果名額已經逼近到什麼樣的階段的話局裡面
transcript.whisperx[330].start 13117.591
transcript.whisperx[330].end 13131.891
transcript.whisperx[330].text 這邊就會來做監控就會再來協調所裡面這邊來做一個處理所以目前大概就是說整個容量的一個部分的話大概都有做檢討都有這個這個提升上來那而後
transcript.whisperx[331].start 13132.592
transcript.whisperx[331].end 13154.498
transcript.whisperx[331].text 個別這個比較特殊區域的這一個就是這一塊的話我們會有線上這個監控的一個部分那另外一個部分比較偏鄉的部分我們大概就朝這個下降考照這個方式來做一個處理所以剛剛委員所提到的課題我們在今年上半年都一直在處理這樣子的課題以上大概做個報告好 二位要補充好
transcript.whisperx[332].start 13157.816
transcript.whisperx[332].end 13174.573
transcript.whisperx[332].text 好 謝謝主席所以其實我們在基層聽到的奇怪因為我每次 我會打電話到我們直接監獄所去問大家好像的說法都不一樣可是一堆的孩子就是被爸爸報名那名字也給我了所以我覺得
transcript.whisperx[333].start 13175.414
transcript.whisperx[333].end 13200.246
transcript.whisperx[333].text 這逐步的一個怎麼樣去放寬這個接受這個部分第二個現在都已經進入AI時代了嘛他抱不上你應該要主動推波嘛就說他已經卡到這裡了沒關係我哪裡有缺就直接推波給他不要說當天的啦就建議他怎麼樣去我覺得至少在服務的態度上面這感覺會比較好一點最後一個其實就所了解從另外一個角度過去考機車的
transcript.whisperx[334].start 13201.246
transcript.whisperx[334].end 13216.62
transcript.whisperx[334].text 那幾位監考官 監考人員可以講門庭若市我想不要講我那個時代整個早上排不完 弄不完聽說現在連那些考官都說現在真的是一下就結束了然後
transcript.whisperx[335].start 13217.401
transcript.whisperx[335].end 13233.065
transcript.whisperx[335].text 我也不太清楚你們去從這些監考官的角度你們在背後去看譬如說他早上可以四個小時或三個半小時讓監督考照可是他現在真的就只有變一個半小時一個半小時在那邊假設假設他所
transcript.whisperx[336].start 13235.026
transcript.whisperx[336].end 13253.999
transcript.whisperx[336].text 那個有人跟我講這個是真實的情況之下那你們不會覺得很怪嗎那我原本規定這個量是不是有問題第二個是你們現在早上下午也分門別類有一類是給第一次來的而第一次來因為比較麻煩嘛那有些是因為第一次沒考上第二次還來那這兩個
transcript.whisperx[337].start 13255.26
transcript.whisperx[337].end 13264.558
transcript.whisperx[337].text 他的本身的遇到問題又不太一樣我真的希望你們能夠仔細去研究也看看監考官他的能量是不是你們在這名額他已經緊繃了
transcript.whisperx[338].start 13267.39
transcript.whisperx[338].end 13284.639
transcript.whisperx[338].text 從9點上班到12點都沒辦法休息還是根本到10點半就結束了我覺得你們要去思考一下 謝謝好 請洪孟楷委員好 感謝昭偉在電幕這邊本席有幾個提案其中36跟45我想要拜託公務局 拜託我們次長
transcript.whisperx[339].start 13285.74
transcript.whisperx[339].end 13309.169
transcript.whisperx[339].text 本席過去到現在都一直強調是說大客車的運能運量因為是解決通勤的很重要的一個關鍵那我們也在去年大家共同努力之下接受本席的建議就是我們開放雙層巴士上國道但目前為止已經開放了快半年時間還有有沒有任何的雙層巴士上國道了還沒嘛
transcript.whisperx[340].start 13310.229
transcript.whisperx[340].end 13325.012
transcript.whisperx[340].text 因為兩個部分其實我也了解大家都希望往這個方向不然我們也不會開放但是確實還沒有第一造價相對比較貴雙層巴塞的造價相對比較貴那第二就是業者的這個可能誘因不足
transcript.whisperx[341].start 13325.433
transcript.whisperx[341].end 13347.624
transcript.whisperx[341].text 那我之前也提過像這個我們這次第45案就是我們既然也有補貼給一般的這個大客車的一個部分那是不是雙城巴士這邊趕快訂出相關的一個補貼辦法其實最重要的是讓能夠有這個運具上路來解決現在的司機荒也可以減少車輛讓民眾在
transcript.whisperx[342].start 13350.966
transcript.whisperx[342].end 13374.406
transcript.whisperx[342].text 國道上面可以有這個雙層巴士可以搭乘所以怎麼樣能夠促進這個方向我想中央這個主管機關這邊可以跟地方政府再多push一下這是本席這個36案跟45案的一個提案的一個目的那另外第47案等一下也要提一下就是打炸一直是本席以及我們很多委員共同關注的那我們不能變成因為
transcript.whisperx[343].start 13375.852
transcript.whisperx[343].end 13389.392
transcript.whisperx[343].text 資料庫其實就是詐騙集團的源頭詐騙集團掌握那個資料庫個資為什麼我們現在看到說個資保護非常重要就是因為詐騙集團掌握之後他就可以以假亂真去先騙你
transcript.whisperx[344].start 13390.934
transcript.whisperx[344].end 13417.49
transcript.whisperx[344].text 告訴你一些個資之後你就以為真的是這個公部門來然後藉此他就可以取信於你之後他就好詐騙所以我們針對我們的系統維護以及相關因為之前有媒體報導是不是有被監理資料有被詐騙集團利用的狀況那我們要怎麼樣加強我們的資安升級不是只是升級硬體軟體也要升級這部分資安的部分不是只有速發不要配了
transcript.whisperx[345].start 13418.05
transcript.whisperx[345].end 13428.618
transcript.whisperx[345].text 我們交通部我們公務局尤其監理單位這個掌握最多的其實更應該要以最嚴格的防火牆來去做維護好不好這兩案是不可以再說明一下好謝謝請公務局說明
transcript.whisperx[346].start 13433.362
transcript.whisperx[346].end 13454.81
transcript.whisperx[346].text 剛剛這個我想我先再回應一下這個盧委員所提到機械考照的部分那我想第一個部分就是說考驗員的部分其實在建立機關並不是專任他都是一般的這一個同仁所以他還有其他的業務要辦那但是剛剛委員講的那個部分的話就是這個也就是我們上半年其實我跟各位委員報告一下
transcript.whisperx[347].start 13455.83
transcript.whisperx[347].end 13477.7
transcript.whisperx[347].text 一往大概就是在我們這個年代的時候像板橋建立站是已經排到中山路那邊去然後整個建立人員從早上到下午都沒休息這樣子就是為了要便民服務讓民眾但是這樣子的一個考照品質等等的部分大家也是擔心所以後來才講說這個用預約的一個方式但是預約的部分深入剛剛委員所提到的部分
transcript.whisperx[348].start 13478.94
transcript.whisperx[348].end 13501.085
transcript.whisperx[348].text 只要有這個人員可以付貨的這情況我們還是要盡可能來這個服務所以剛剛委員所提到那個部分的話我們也是會拉進來在這個通盤來做一個處理所以現在大概都有去到各所各站你有多少人你其他的業務這個相關多少那可以排除多少個這個場次目前都在這一輪的滾動檢討裡面
transcript.whisperx[349].start 13503.405
transcript.whisperx[349].end 13519.308
transcript.whisperx[349].text 那剛剛這個就是說洪榮所提到的那個建立系統之外的部分我跟委員報告因為公共建立資訊系統是國內三大這個行政系統就是這個復一證跟這個財稅接下來就是公共建立資訊系統
transcript.whisperx[350].start 13520.049
transcript.whisperx[350].end 13546.314
transcript.whisperx[350].text 所以公路監禮諮詢系統在公路局本身就是一個非常重要這個關鍵要防護的一個部分所以我們在這個也可以看到說在心靈的預算裡面其實我們對於公路監禮諮詢系統相關的升級還有包括資安等等的部分的話都是這個投入經費這個也是局裡面這個最重要的一個這個部分那剛剛委員所提到的部分的話我們會持續來這個精進來這個持續來做一個辦理
transcript.whisperx[351].start 13550.875
transcript.whisperx[351].end 13577.924
transcript.whisperx[351].text 這個公務監理資料庫是絕對不容外洩的部分這個部分我跟委員做個報告好 謝謝各位委員 那我們來處理預算謝謝各位委員提的凍結案我們就在第二幕 我們就凍結五千萬然後請工總就各位委員剛剛發言追尋的項目聲明內庭疏問報告那客戶請公務局自行調整
transcript.whisperx[352].start 13580.742
transcript.whisperx[352].end 13589.857
transcript.whisperx[352].text 好來教研那我這邊還是我剛提的第11案我這邊堅持要專案報告因為據我了解你們跟警政署開過兩次會之後就沒有下文了而且你們在
transcript.whisperx[353].start 13592.492
transcript.whisperx[353].end 13607.883
transcript.whisperx[353].text 你們在道路交通安全規則第四條主要規範是因正面懸掛與車輛後端之明顯適當位置可是你們目前對於適當位置你們還是沒有說明清楚啊所以我這邊就是請你們再提出專案報告那之後時得動之 謝謝
transcript.whisperx[354].start 13614.346
transcript.whisperx[354].end 13636.354
transcript.whisperx[354].text 剛剛尊重這個邱若驊委員的提案另外我也尊重召委就是說第二幕凍結五千萬我這邊沒有意見因為這已經高出我幾個案子的一個凍結但是我要求是不是公務局長這邊也可以回覆一下那雙城巴士的這個補助項目或者說補助辦法什麼時候可以出來我已經追滿久了
transcript.whisperx[355].start 13638.434
transcript.whisperx[355].end 13652.381
transcript.whisperx[355].text 我先回答一下那救援如果我們要再辦專案報告的話我是怕時間上的壓縮我們現在已經到快到六月了以後去
transcript.whisperx[356].start 13654.182
transcript.whisperx[356].end 13683.28
transcript.whisperx[356].text 是不是 那我們是請公務局 公務局到您的辦公室去那公務局 公務總要到邱委員的辦公室跟他做一些 就他所關心的項目做生意另外 剛剛黃委員所提到的一個部分的話我們那個 這個最近啦 最近那個今年的那個供應計畫補助也快要下去了 因為大概就是在等這個 如果說要確定之後 我們那個補助的部分大概就會下去 那目前啦
transcript.whisperx[357].start 13683.74
transcript.whisperx[357].end 13698.334
transcript.whisperx[357].text 大概對於這個雙層巴士的一個這個補助的話大概心中大概會有一個這個補助金額大概會是現在這個地地板的一個這個
transcript.whisperx[358].start 13701.576
transcript.whisperx[358].end 13730.052
transcript.whisperx[358].text 這個兩倍那另外一個部分剛剛委員有提到因為這裡面使用者有一個是國道科運像北極北桃這個國道科運那另外一個有一部分是這個市區客運業者是地方政府的部分所以未來這兩類對象的一個部分的話國道客運業者我們想這個只要客運業者這個有意願的話我們都會來協助那地方政府的部分的話我們會跟這個地方政府這個來那個好那原則上我們希望說這個在6月份我們供應輔助原則就可以下去好
transcript.whisperx[359].start 13730.652
transcript.whisperx[359].end 13742.939
transcript.whisperx[359].text 六月份 好 謝謝那就六月底以前這個辦法出來好 您剛剛是對他講的啦您就補足補足的六月底以前啦對啦 他就說啦可以喔 那就六月底以前辦法出來謝謝好 陸委員
transcript.whisperx[360].start 13747.721
transcript.whisperx[360].end 13776.52
transcript.whisperx[360].text 好 謝謝那我還有提3538案尊重我們召委的一個這個才事那我再補充問一下 跟預算無關你們事後能夠給揮霍報告因為你們這個把我們在66興建高架的一個施工整個潰線 整個台電的線路挖掉這是我們公路局嗎是不是公路局的一個工程那現在我們在桃園觀音的生殖能中心他處理垃圾大概有段
transcript.whisperx[361].start 13777.581
transcript.whisperx[361].end 13792.272
transcript.whisperx[361].text 斷掉第二個來講這條潰線不光是供應給這個生殖能中心焚燒垃圾來電之用而且也是發電之後回饋給台電雙向損失我不知道它預估是2.8億多少億那你們說這個廠商會賠
transcript.whisperx[362].start 13796.098
transcript.whisperx[362].end 13806.258
transcript.whisperx[362].text 來龍去脈跟最後如何處理我們不要在今天講麻煩你們給我一個說明謝謝好那再請公務局向盧委員盧委員辦公室報告
transcript.whisperx[363].start 13811.397
transcript.whisperx[363].end 13833.254
transcript.whisperx[363].text 好各位委員那我們接下來就看第49到76案那補充說明喔49到76案裡面當中的49案、53案、64案、65案、73案、74案提案委員都改為主決議好各位委員好請何孟楷委員
transcript.whisperx[364].start 13835.069
transcript.whisperx[364].end 13862.098
transcript.whisperx[364].text 好 朝偉謝謝我們接下來是第三幕嘛 公路建設改善計劃199案到76案討論第三幕之前我可不可以先請教一下部長現在人在哪邊啊部長 因為一開始早上跟我們的消息是說部長在高鐵站趕不過來那現在郡縣朝偉都已經到了那部長現在人是在哪裡還是今天部長就打算不來了他今天要請假了他說要去看什麼 台61嗎
transcript.whisperx[365].start 13864.198
transcript.whisperx[365].end 13890.229
transcript.whisperx[365].text 不是一開始本來講部長今天沒來是跟我們講是說是因為高鐵的原因耶原來這樣事實中今天部長是請假那今天部長我們那麼重要的觀光署然後相關部會的預算部長不來等一下 稍微這樣子很大條喔今天單上面有寫啦他出席到10點半是 到10點半嘛對
transcript.whisperx[366].start 13891.983
transcript.whisperx[366].end 13919.546
transcript.whisperx[366].text 所以原本部長是九點到十點半然後沒有辦法來然後他直接他就他就離開了是不是所以我為什麼會這樣問是因為接下來這一個第三幕很重要就是本席的選區淡江大橋那每一次大家不要說部長生日的時候有去淡江大橋這個祈福我這不是怪我們公路局的同仁啦因為我相信公路局的同仁
transcript.whisperx[367].start 13921.294
transcript.whisperx[367].end 13948.276
transcript.whisperx[367].text 也很冤枉啦突然間講說原來選到那一天5月12原來就是我們偉大部長的生日但這些過了我都就先不講可我想說討論預算的部分然後部長可以不來剪彩 辦活動部長跑得比誰都勤我在淡水那麼久的時間部長從以前到現在也沒有來過那麼多次但是就是在要開通的時候來了好多次喔好 可是我為什麼今天這樣講
transcript.whisperx[368].start 13950.588
transcript.whisperx[368].end 13972.477
transcript.whisperx[368].text 58案、59案本席提的但本席要講的是公路局淡江大橋淡水端相對來講有些改善措施我們都在改善中但是八里端的問題非常嚴重八里端的問題嚴重到是第一它的步行跟腳踏車跟自行車的一個路段完全周邊是沒有照明
transcript.whisperx[369].start 13973.496
transcript.whisperx[369].end 13997.417
transcript.whisperx[369].text 然後走進這個巴里端要過來的時候那下面其實還經過 講不客氣還經過蒙阿波上個禮拜我們再去會刊因為之前你們把全部都圍住全部都是工地所以我們想要去做辦理會刊了解還沒有辦法但現在開通了我們再去做了解才發覺說你引道腳踏車跟行人步道是蒙阿波
transcript.whisperx[370].start 13998.407
transcript.whisperx[370].end 14012.784
transcript.whisperx[370].text 那本席在這個六日接到地方民眾的陳情才發現更嚴重的是那個是既有道路嗎我們八里端連外的那個是我們的道路還是私地
transcript.whisperx[371].start 14014.707
transcript.whisperx[371].end 14029.341
transcript.whisperx[371].text 那邊有很多的地主現在跳出來現在在抗議是說他們一開始根本不知道公路局把淡江大橋八里端那邊變成是連外的主要的道路那結果原來那些都是私人地主
transcript.whisperx[372].start 14031.192
transcript.whisperx[372].end 14060.396
transcript.whisperx[372].text 他現在在問說政府徵收沒徵收用地沒取得然後原本是他們自己P的一個私人土地的道路其實主要是對於本來是要去做那個去漁村漁港海邊使用那就現在突然變成是公路局規劃淡江大橋行人腳踏車對外的主要道路蛙子緯我想公路局長應該很知道我在講哪一段
transcript.whisperx[373].start 14061.547
transcript.whisperx[373].end 14088.666
transcript.whisperx[373].text 那現在那些地主現在跳出來講是說那他們要怎麼樣同意我們政府部門政府部門完全沒有跟他們溝通過我覺得這件事情很嚴重耶不要搞到到最後淡江大橋通車反而是一件好事然後結果讓地方的地主跳出來講說以後不讓行人走因為你淡江大橋開通之後24小時然後凌晨3點都有人經過都有人想要去上橋
transcript.whisperx[374].start 14089.887
transcript.whisperx[374].end 14112.361
transcript.whisperx[374].text 那對他們居住在 原本居住在那邊的人就苦不堪言那還有公廁最基本的公廁淡水端上來的走到八里端之後沒有洗手間可以使用他發覺已經太多次他就直接在人家家門口裡面就發現有隨地便秘的狀況那這要怎麼解決
transcript.whisperx[375].start 14118.462
transcript.whisperx[375].end 14145.22
transcript.whisperx[375].text 你不能說開 開橋的時候風風光光部長都在橋上那邊這個 辦活動然後結果反而巴里端這邊的民眾完全沒有這一些細節的部分沒有做一個很好的收尾好啦 那個 那公務局繼續跟紅木改委員做直接說明好不好好 紅木委員 我們先回到要不要請部長也來看一下不要只有剪彩的時候部長去然後結果這種最基本的事情部長連來都不來吧
transcript.whisperx[376].start 14146.909
transcript.whisperx[376].end 14175.799
transcript.whisperx[376].text 好 這可以跟部長反映一下啦好 各位委員還有沒有要派員來 黃建老委員 張偉來來 張偉 謝謝齁我提62 63 66 75 76齁那62當然是為了說這個前瞻現在當然結束了啦那在有地方停車場過去當然支持率比較低那當初什麼選定就先不生就了那未來這個經費地方上如果還是有因為市區的部分齁像我停車場的需求的話交通部的立場是會不會有相關的補助啊這是第一件事情
transcript.whisperx[377].start 14176.579
transcript.whisperx[377].end 14202.781
transcript.whisperx[377].text 然後在63案講的是這個自動駕駛的部分就是說其實當然現在自動駕駛的法規都還沒有完全的上路那我想世界各地世界各國 新興國家他們都有在做FSD的一個相關示範的上路那問題在哪裡問題說現在我們的公路局我們對於標誌標線的設計的部分我們有沒有要針對無人駕駛的這樣子的革命做一些調整不只是未來是靠人來辨識未來是說我們希望它的這個標誌標線更系統化
transcript.whisperx[378].start 14204.882
transcript.whisperx[378].end 14224.074
transcript.whisperx[378].text 這樣的機器在判讀的時候有更精確那當然未來我們真的如果真的無人車有機會上路我們當然需要加速嘛那上路之後能不能透過標示標訊的引導好像整個事故有夠降低這個部分我們提出凍結然後再來是66部分當然是這個我們不斷跟大家討論不過這今天可以快點講過去我們後面還有一些協調會就是66我們是針對
transcript.whisperx[379].start 14227.156
transcript.whisperx[379].end 14248.993
transcript.whisperx[379].text 台74沿街高鐵站的這部分其實這範例我覺得像在高雄就很明顯高雄也是用這種概念就是快速道路直接接近高鐵站那我們今天要講的這個也是這問題說台74線我能不能直接把車流疏導直接進到高鐵站我不需要再下閘道然後再上去然後在這邊塞車我想這部分我覺得
transcript.whisperx[380].start 14249.554
transcript.whisperx[380].end 14266.715
transcript.whisperx[380].text 過去有市府跟地方政府跟公共局有配合的經驗那其實我認為台氣是接這個高鐵閘道接上 接近高鐵站的這個部分它並不是工程上並不是一個困難的事情那只是說誰要做啊花多少錢啊誰來做的啊所以這部分我希望我們就要盡快有一個共識喔然後再來7576部分
transcript.whisperx[381].start 14273.359
transcript.whisperx[381].end 14289.584
transcript.whisperx[381].text 抱歉喔這個75的部分也是台中中部地區有些快速道路它可以直接上去上去之後就直接接國道了那對重機騎士來講他的認知中或社會大眾普羅大眾的認知就是一般的快速道路可以騎重機
transcript.whisperx[382].start 14291.164
transcript.whisperx[382].end 14318.281
transcript.whisperx[382].text 那問題是在閘道口的部分到底標誌因為你們說像這個案例是說在這個有一個閘道口它要上74上74之後又可以接國道所以那個閘道理論上它是不能上重機的可是那標誌呢你們設了一個尊22標誌你們當然有這樣講嘛說尊22標誌但什麼叫尊22標誌我想因為各種標誌真的非常多啦我覺得還是要回到用路人的使用經驗裡面你乾脆就直接寫進行
transcript.whisperx[383].start 14319.562
transcript.whisperx[383].end 14344.452
transcript.whisperx[383].text 重疾或什麼樣你就直接寫明擺或是直接標示很明確的什麼地方不可以做什麼地方可以做我覺得不要用這種官方的說法說我已經公告了然後我犯了122但是就是你這個就看不懂所以才有很多人他是為了上74他是為了上快速道路結果他上了這個閘道之後因為這個閘道可以上上去國道所以反而他被開罰所以我覺得這部分還是要檢討一下整個標示標線我覺得還是要做其實包含這個
transcript.whisperx[384].start 14346.312
transcript.whisperx[384].end 14374.499
transcript.whisperx[384].text 這個75案跟剛剛我前面講自動駕駛是類似的概念我們希望說公路局在做標誌標籤的相關檢討實在要直覺一點不要說我們講真的你們那個交通標誌標誌尊敬尊敬尊敬那個真的太多種了各種車型各種不同的路況我們希望說能夠很明確的讓用路人知道說很直覺事實上這邊就是不能上去或這邊就是可以上去這個要很直覺一點不要有這麼多奇怪的就是不同類型的規範那76我覺得也是要做個表態就是說你們到底對於車座照相的
transcript.whisperx[385].start 14375.319
transcript.whisperx[385].end 14383.538
transcript.whisperx[385].text 車子照相的這個政策是什麼我想不管是之前質詢還是很多入選團體還是民間業者大家都有談到有件事情就是一直用車子照相來開罰
transcript.whisperx[386].start 14385.404
transcript.whisperx[386].end 14410.761
transcript.whisperx[386].text 阿你如果一個路段一年可以收到上萬件罰單那不就表示這個路有點問題嗎今天就是說我不是顧大家的有些路段你明明看起來可以開到時速60開到50結果你設40那一定會中標嘛所以這部分就是說要檢討一下到底是路型太寬還是路線還是樹線有設置有問題你如果說當然在彎道你為了大家的安全你希望大家開慢一點設置設置照相就情有可原
transcript.whisperx[387].start 14411.121
transcript.whisperx[387].end 14437.319
transcript.whisperx[387].text 那有時橙筆直的道路你也放測速照相然後這個所謂的速限跟它真實的這個行車的這個速度是有很大的落差所以我在測速照相上面我覺得你們還是要有一個很明確的立場出來到底未來是不是還繼續用這種方式來懲罰來設計用路人因為我想這個近年來的發環收路而且越設越多所以我覺得這個部分也是請公路局要來說明以上 謝謝好 謝謝王建華召委來 請公路局說明
transcript.whisperx[388].start 14440.083
transcript.whisperx[388].end 14462.32
transcript.whisperx[388].text 我想我先針對那個這個就是說黃委員所提到的一個部分第一個停車場的一個補助的一個計畫基本上這一期就到這邊大概就目前並沒有其他的一個計畫那對於之前已經核定的一個計畫在執行中的一個部分的話公務局會監督各地方政府來加速做一個辦理那第二個部分就是因應未來這個這種駕駛就是無人駕駛直接相關標示標線的一個部分的話
transcript.whisperx[389].start 14465.583
transcript.whisperx[389].end 14490.921
transcript.whisperx[389].text 那我跟委員的這個部分包括這個交通管理法令的部分在目前在部裡面公寓室這邊他有委託這個車安中心跟這個市車會在做一個專案的一個這個計畫那未來就是說包括這些交通管理的一個應遵循的法令還有相關配套的標示標線的一個部分的話會在這個案子裡面來做一個處理
transcript.whisperx[390].start 14492.262
transcript.whisperx[390].end 14519.964
transcript.whisperx[390].text 那針對這個就是說剛剛所提到在台其實是那個大型重型機車這個上來可能會誤入這個就是說那個路口閘道那邊到底這個大型重型機車能不能這個上來的部分的話我想我們會這個醫療委員的一個指示來就是說如果說會讓駕駛人有誤解的一個部分的話我們就會這個來做一個檢討不能上來就能上來不能上來就這個不能上來
transcript.whisperx[391].start 14520.844
transcript.whisperx[391].end 14546.924
transcript.whisperx[391].text 我想這個這個標示的一個部分我們會來做一個處理那有關剛剛委員提到就是說公務局對於這個測速照相政策的部分這部分我跟這個委員報告因為公務局基本上省到的一個這個部分如果說有相關這個這個事故的一個部分的話大概就是說第一個就我們自己本身工程應該要改善可以改善那個部分我們一定會來做一個處理
transcript.whisperx[392].start 14548.385
transcript.whisperx[392].end 14563.304
transcript.whisperx[392].text 那搭配了如果說在這個路段上面必須要做這個速度管理必須要做一些執法的一個部分的話這個部分就比較偏向這個就是說小管警察機關這些這個相關的一個處理啦所以
transcript.whisperx[393].start 14564.085
transcript.whisperx[393].end 14580.704
transcript.whisperx[393].text 因為有關於這個執法的部分因為我公務局並不是這個執法的一個機關那原則上有關於這些在公務局轄管的省道路段裡面如果有關於這些執法那個部分的話我們會充分跟這個轄管的警察機關來做一個討論跟溝通
transcript.whisperx[394].start 14585.189
transcript.whisperx[394].end 14597.898
transcript.whisperx[394].text 來原則上我想不管是檢察機關或者是這個道路主管機關相關安全管理的部分都不會以這個這個執法處罰為主要的原目的跟目標以上大概作為補充
transcript.whisperx[395].start 14599.44
transcript.whisperx[395].end 14626.871
transcript.whisperx[395].text 好 感謝好 各位人如果沒有其他意見好 孟教練我剛剛講了半天淡江大橋是怎麼樣不是 那個我再請他跟你報告我們先把預算處理好 好不好現在不是跟我報告我可不可以請教一下為什麼當初會我們連外道路居然是選到一個是根本不是一般道路而是有私地主的它也不算是既有道路它就是它現在是私地主現在大家群情激憤
transcript.whisperx[396].start 14628.786
transcript.whisperx[396].end 14657.107
transcript.whisperx[396].text 覺得說怎麼會當初我這個中央跟地方但當初怎麼會這樣子選定這個狀況要怎麼解決我覺得這其實是對地方民眾來講他是尤其是在地的鄉親他甚至是說不排除要抗議耶所以我今天才反應那我說什麼時候可以解決這個問題不然黃委員你要不要拍個稿子啊可以啊但不是要難道現在是行政部門丟的包然後要我們立法部門來解決嗎
transcript.whisperx[397].start 14659.296
transcript.whisperx[397].end 14681.611
transcript.whisperx[397].text 我們還有考察看什麼狀況在委員可以追究責任你到時候再做一個比較說明不然你這樣講我們旁邊的人聽不懂好不好各位我們先處理預算第一個我們的49到76年的第三幕我們就凍結五千萬各位有沒有意見然後我們就科目前工種自行調整
transcript.whisperx[398].start 14682.412
transcript.whisperx[398].end 14707.085
transcript.whisperx[398].text 那各委員發言要求的詢問報告 請公務局在三個月內提出 使得動之好 還有幾個案件 來 介委員不好意思 詹委員 那針對三十七案就是陳青龍委員提出的那也這邊再請局長到 再跟陳青龍委員繼續報告第三個案 陳青龍委員所提的案再請公務局跟陳青龍委員辦公室到陳委員辦公室去做說明
transcript.whisperx[399].start 14708.206
transcript.whisperx[399].end 14720.81
transcript.whisperx[399].text 好 各位委員 那我們接下來繼續看第77案到100案的主決議第77案宮主席專案經理委員同意改書面好 我們改為書面報告
transcript.whisperx[400].start 14723.668
transcript.whisperx[400].end 14737.472
transcript.whisperx[400].text 修正通過78案 遵照辦理通過79案 遵照辦理通過80案 遵照辦理通過81案 遵照辦理通過82案 遵照辦理通過83案 遵照辦理通過
transcript.whisperx[401].start 14743.84
transcript.whisperx[401].end 14768.408
transcript.whisperx[401].text 八十四案 通過八十五案 通過八十六案八十七案 通過八十八案八十八案的部分大概有跟我們辦公室有報告是不是有幾個公司做一個修正第一個第八十八案就是最後一段
transcript.whisperx[402].start 14769.608
transcript.whisperx[402].end 14791.488
transcript.whisperx[402].text 要求交通部公路局應會同 衛生福利部就刪除啦就是公路局會同地方政府好 那倒數 在下一行研議建構與高齡者需求為核心的交通服務模式你這一句話要刪除嗎各位有意見沒有的話我們就修正通過89案
transcript.whisperx[403].start 14795.96
transcript.whisperx[403].end 14822.608
transcript.whisperx[403].text 89案的部分這個文職修正就是倒數第二行針對該計畫所設的這些內容直到那個定落時第三方工程品質查核機制每年定期那個定期之前建議文職刪除這個文職都刪除這個直接跳了就是且要求交通部公路局應該於兩個月內向立法院提出書面報告
transcript.whisperx[404].start 14825.669
transcript.whisperx[404].end 14833.472
transcript.whisperx[404].text 就變成這樣子嗎各位有沒有意見沒有的話就照修正通過90案通過91案通過92案通過93案通過94案通過95案
transcript.whisperx[405].start 14844.636
transcript.whisperx[405].end 14852.321
transcript.whisperx[405].text 95案建議改書面改為書面修正通過96案通過97案通過98案通過99案改為書面修正通過100案改為書面修正通過
transcript.whisperx[406].start 14873.015
transcript.whisperx[406].end 14899.23
transcript.whisperx[406].text 好另外我們的討論事項五直轄市及縣市政府一般性補助款交通部主管的第二幕公路局及所屬因為沒有委員提案所以所列預算照列好各位我們公路局的預算就審查到這個地方那我們現在休息休息20分鐘好那請也發便當了好大家辛苦一下
transcript.whisperx[407].start 14902.571
transcript.whisperx[407].end 14902.972
transcript.whisperx[407].text 1點5分請大家回到現場謝謝
transcript.whisperx[408].start 14922.91
transcript.whisperx[408].end 14932.774
transcript.whisperx[408].text 他都沒有提啊 大家都動靜在哪裏他都沒有堅持啊哪裏 哪裏 哪裏 哪裏 哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏哪裏
transcript.whisperx[409].start 14949.131
transcript.whisperx[409].end 14949.852
transcript.whisperx[409].text 這跑就不能開會了
transcript.whisperx[410].start 14980.042
transcript.whisperx[410].end 14980.962
transcript.whisperx[410].text 在旁邊
transcript.whisperx[411].start 15007.5
transcript.whisperx[411].end 15008.361
transcript.whisperx[411].text 阿所以我有留守阿 幹
transcript.whisperx[412].start 15027.52
transcript.whisperx[412].end 15039.797
transcript.whisperx[412].text 兩公司啊 兩公司啊 兩公司啊不說話就是我最大的溫柔哇 你要辦哪個便當你們已經說到高雄都跑不掉了啊那拿個便當來接一支啊兩家酒店
transcript.whisperx[413].start 15047.077
transcript.whisperx[413].end 15049.538
transcript.whisperx[413].text 謝謝大家
transcript.whisperx[414].start 16411.254
transcript.whisperx[414].end 16425.383
transcript.whisperx[414].text 好謝謝各位我們繼續開會接下來我們來審查香港局一百一十五年度的預算我們介紹要介紹好我們
transcript.whisperx[415].start 16436.229
transcript.whisperx[415].end 16454.387
transcript.whisperx[415].text 我們首先歡迎韓港局的葉協榮局長還有我們主計事的陳雲橋主任 陳主任 謝謝我們先看韓港局的預算各位委員我們先處理1到19案 並案處理
transcript.whisperx[416].start 16457.423
transcript.whisperx[416].end 16482.548
transcript.whisperx[416].text 好 各位委員有意見嗎來 請林昆哲委員好 航港局的預算在第二幕就是航港業務管理及發展編列的6億9千與16萬那其實根據運安會運輸安全改善建議的資訊航港局有兩項的改善建議是在等候回覆或者是處理中
transcript.whisperx[417].start 16483.288
transcript.whisperx[417].end 16503.835
transcript.whisperx[417].text 那13項改善建議分項執行計畫列管中那為了維護水路的安全那航港局應該要積極的參考運安會的改善意見並且提出具體的改善作為那我建議凍結1000萬然後一個月內提出署名報告
transcript.whisperx[418].start 16504.935
transcript.whisperx[418].end 16512.845
transcript.whisperx[418].text 那之後使得解凍那另外就是第五案就是違辦費的部分編列了7516萬那他辦理了25項的計畫比114年度辦理的17項計畫增加了8項
transcript.whisperx[419].start 16522.017
transcript.whisperx[419].end 16532.54
transcript.whisperx[419].text 那增加的預算是達到2653萬那航港局應該就增加的計畫的必要性要詳細說明而且要說明114年度委辦計畫辦理的具體成效
transcript.whisperx[420].start 16537.782
transcript.whisperx[420].end 16558.282
transcript.whisperx[420].text 那我建議凍結五百萬那一個月內就一百一十五年委辦計畫辦理之必要性還有一百一十四年度委辦計畫的辦理成效向交通委員會提出書面報告後解凍以上好 感謝我們先請香港局來做說明是 謝謝張偉張偉 各位委員
transcript.whisperx[421].start 16560.624
transcript.whisperx[421].end 16583.172
transcript.whisperx[421].text 那有關李工作委員所追尋的第四案有關運安會的目前列管航港局的這個15項的這個分項的改善建議呢那跟李委員報告這15項裡面涉及飲水作業有9項涉及船舶交通服務VTS管理有3項另外涉及船舶管理也有3項針對這15項的這個列管改善建議呢
transcript.whisperx[422].start 16587.354
transcript.whisperx[422].end 16599.129
transcript.whisperx[422].text 我個人都定期不定期的都會專案督導我們業務單位積極的來進行這個具體的改善措施依照運動會的這個建議跟指示那這15項裡面我們現在經過盤點應該有10項
transcript.whisperx[423].start 16604.555
transcript.whisperx[423].end 16631.887
transcript.whisperx[423].text 有機會在下半年渴望解除列管那我們會積極的來依照運安會的改善建議積極的來做處理也會盡量我們意見提出報告那第二個我們垂尋的第五案違犯費增加這個部分呢最主要是因整個國際海事人員的訓練朝數位化智慧化的這個方向在發展我們本局目前正在推動我國海事人智慧數位升級計畫
transcript.whisperx[424].start 16633.087
transcript.whisperx[424].end 16650.929
transcript.whisperx[424].text 在這個計畫專案計畫下面有多項的這個分享子計畫包括海事人員課程的數位化替代能源人才培育的這個課程計畫以及專案管理等等資訊那另外呢因整個淨零減排在今年度也新增
transcript.whisperx[425].start 16651.61
transcript.whisperx[425].end 16677.649
transcript.whisperx[425].text 海運產業鏈的企業檢探管理的作業指引的委辦研究所以基於這個國際趨勢不管是淨零還是出入販的這個需要增加了委辦的這個項目那我們會遵照委員的指示提出這個相關的必要性的說明那也會報告114年度委辦的成效以上報告好 謝謝各位還有意見嗎沒有的話好 盧委員好 謝謝主席
transcript.whisperx[426].start 16678.65
transcript.whisperx[426].end 16706.841
transcript.whisperx[426].text 我想這個剛剛油化委員有特別來電針對他提到第14案還是請我們航港局來說明一下最主要是這個預算航港業務管理及發展向下編列的簡稱非漁業用小船裝設AIS計畫系統大概就是這個自動識別的系統其中有一些是因為我們國安體系的一個要求針對可能不明的一個船隻直接衝入
transcript.whisperx[427].start 16707.941
transcript.whisperx[427].end 16718.024
transcript.whisperx[427].text 我們這個國家的一個港口那為了增加便士的一個涵蓋率所以提出這樣的計畫看到你113年編列預算全數保留沒有執行114年這個分配預算1700萬它執行率0.07
transcript.whisperx[428].start 16729.728
transcript.whisperx[428].end 16748.026
transcript.whisperx[428].text 那遇到什麼困難啊那當然今年以後續編到底這個事情是遇到能做不能做我想這件事油耗委員他提出凍結10%主要的原因以上說明謝謝 請韓國瑜接受您謝謝召委還有羅委員的催訓
transcript.whisperx[429].start 16749.407
transcript.whisperx[429].end 16767.897
transcript.whisperx[429].text 跟盧委員報告本項的這個計畫推動盧同委員剛剛所說明的一個是國安單位的這個基於國安的考量另外也為了進一步強化我們的這個航岸的管理讓所有船舶都必須要裝飾IS那我們原來盤點的這個經過盤點現在預計要裝飾總數是3,559艘
transcript.whisperx[430].start 16773.3
transcript.whisperx[430].end 16787.269
transcript.whisperx[430].text 那特別跟委員報告原來因為相關船主的聯絡還有裝飾的意願不高那經過我們修法也發布相關的訊息來透過多元的管道來提升這個船主裝飾的意願之後在113年、114年我們已經裝飾完成2030艘
transcript.whisperx[431].start 16794.753
transcript.whisperx[431].end 16820.932
transcript.whisperx[431].text 那到今年的5月20號為止目前已經完成裝射2888艘所以整個裝射的執行率已經達到81%那我想最主要一開始這些船主對於這個是否要裝射還是保持觀望的態度經過我們多元的宣導還有包括法規的修正現在執行的狀況已經有所改善那我預計6月份會全部完成裝射 議長報告
transcript.whisperx[432].start 16823.123
transcript.whisperx[432].end 16847.974
transcript.whisperx[432].text 好 謝謝各位委員那我們來處理航港局的一到十九案第一幕那我們就凍結一千萬那委員垂詢部分那請航港局上天院的體育書面報告後實施凍置好 那凍結一千萬就 科目就請你自行調整好 接下來我們看第二十案
transcript.whisperx[433].start 16851.988
transcript.whisperx[433].end 16867.898
transcript.whisperx[433].text 提案委員徐屋可委員有要發言嗎沒有那委員要提凍結嗎還是我們就好那我們就不處理好第二十案我們就不處理我們看第二十一案到三十五案的決議案
transcript.whisperx[434].start 16869.188
transcript.whisperx[434].end 16887.613
transcript.whisperx[434].text 各位委員我們看第21案 通過22案各位委員有關核心存檸關切這個台中港擴港的這個營運補償部分請董事長在這邊簡要報告說明一下92年台中港擴港的這個程序你先就預算有沒有意見
transcript.whisperx[435].start 16890.754
transcript.whisperx[435].end 16915.898
transcript.whisperx[435].text 你有要修正嗎我們先處理倒數第三對好是文字修正就是對並各位委員我們第22案主決議倒數第三行是並提出適當之補償方案以彌補當地漁民漁業權被限制之損失這裡刪除是各位有沒有意見沒有意見的話我們修正通過好 第23案專長幫你
transcript.whisperx[436].start 16918.999
transcript.whisperx[436].end 16924.984
transcript.whisperx[436].text 通過24案 通過25案 通過26案 通過27案 通過28案好 我們改為書面報告修正通過29案 通過30案好 專案報告改為書面報告
transcript.whisperx[437].start 16942.518
transcript.whisperx[437].end 16951.187
transcript.whisperx[437].text 各位委員好那我們修正通過31案通過32案通過33案也是一樣我們改為書面報告修正通過34案好專案改為書面報告第三案修正通過35案改為書面報告35案修正通過
transcript.whisperx[438].start 16966.53
transcript.whisperx[438].end 16991.605
transcript.whisperx[438].text 好 各位委員我們討論事項七直轄市及縣市政府一般性補助款交通部主管的第三部航港局委員沒有提案我們預算就照列好各位委員那接下來我們來看航港基金航港建設基金各位委員我們看
transcript.whisperx[439].start 16993.942
transcript.whisperx[439].end 17020.567
transcript.whisperx[439].text 一至二案 航港建設計劃各位有意見嗎沒有意見的話我們一至二第一案到第二案我們就不處理第三到四案各位有意見嗎沒有的話那我們也不處理五到十一案各位有意見嗎沒有那我們也不處理十二到十四案各位有意見嗎好那我們也不處理
transcript.whisperx[440].start 17022.367
transcript.whisperx[440].end 17033.393
transcript.whisperx[440].text 另外12到14案不處理第15案好 各位沒有意見的話我們不處理第16到16案開始的主決議
transcript.whisperx[441].start 17034.781
transcript.whisperx[441].end 17062.196
transcript.whisperx[441].text 各位我們請看第16案我們是那個不在口頭表達意見但是整個的一個包括凍結的部分還是這個太過優待整個還是稍微要稍微處理一下因為我們還在等書面報告如果這樣什麼都沒有的話我覺得這樣也沒有不太很好麻煩那個主席處理一下
transcript.whisperx[442].start 17063.217
transcript.whisperx[442].end 17081.103
transcript.whisperx[442].text 好啦那我們就那個第十六案的主決我們大家就看仔細一點第十六案報告這一張改書面來我們各位我們看第十六案有號委員復判有跟有委員報告
transcript.whisperx[443].start 17084.844
transcript.whisperx[443].end 17107.487
transcript.whisperx[443].text 好 我們第16案的主決議改為書面報告修正通過第17案8 建議文字修正在倒數第三行的部分建請交通部航港局協同台灣港澳公司增加協同台灣港澳公司的文字這個有跟那個提案委員溝通嗎有跟那個提案委員溝通 以他獲得同意
transcript.whisperx[444].start 17108.593
transcript.whisperx[444].end 17125.68
transcript.whisperx[444].text 各位委員就是我們的倒數第三行原遣交通部航港局協同臺灣港務公司積極督促就是文字上的修正各位委員如果沒有意見的話我們就修正通過好第十八案
transcript.whisperx[445].start 17127.72
transcript.whisperx[445].end 17141.335
transcript.whisperx[445].text 10案通過19案報告 進行專案改書面好 我們改為書面報告那我們就修正通過好 各位委員接下來我們看
transcript.whisperx[446].start 17142.731
transcript.whisperx[446].end 17164.954
transcript.whisperx[446].text 台灣港務公司主席我在第七案啊因為剛剛講說統一處理啊那統一沒有處理的話這邊凍結5%還是還是如果不處理我就保留到這個沒有沒有沒有凍結5%嘛第幾案第七案第七案第七案
transcript.whisperx[447].start 17168.873
transcript.whisperx[447].end 17186.213
transcript.whisperx[447].text 好啦 凍結5%啦給盧委員一個面子 凍結5%用順便報告三個月內提出來啦提順便報告 使得動之然後再使得動之 好不好盧委員感謝盧委員感謝盧委員好 謝謝盧委員謝謝張惠也 謝謝盧委員好 各位委員我們現在看台灣港務公司
transcript.whisperx[448].start 17216.263
transcript.whisperx[448].end 17226.286
transcript.whisperx[448].text 各位委員我們接下來輪到台灣港務公司我們先介紹列席人員首先我們歡迎周永輝董事長
transcript.whisperx[449].start 17227.605
transcript.whisperx[449].end 17256.427
transcript.whisperx[449].text 好 我們會計處的資深處長陳政委陳處長好 各位委員那我們看台灣港務公司我們先看營業收入第一到二案我們變案處理來 魯明哲委員好 謝謝主席我提的是第一案
transcript.whisperx[450].start 17257.228
transcript.whisperx[450].end 17271.214
transcript.whisperx[450].text 最主要上次在質詢的時候特別跟港澳公司就談過這些問題你們也發覺確實這個是有一點情況就已經編這個預算勞務收入這個占卜收入旅客服務相關的一個收入在過去
transcript.whisperx[451].start 17272.455
transcript.whisperx[451].end 17290.251
transcript.whisperx[451].text 好幾年都編了四千多萬但實際的決算大概兩百多萬到四百多萬大概你們真的決算就差不多不到十分之一那降德的部分我就覺得預算編列我們希望能夠核實編列經過幾年的體驗它確實這張服務它萎縮或者
transcript.whisperx[452].start 17294.835
transcript.whisperx[452].end 17314.905
transcript.whisperx[452].text 沒有需要這個部分我們希望能夠核實編列好那這個部分所以我提凍結10%也希望我們港部公司來說明那在今年度或者未來如果確實他的能量並沒有那麼高我們希望這個預算不要變那麼高以上說明是謝謝港部公司要說明嗎
transcript.whisperx[453].start 17315.405
transcript.whisperx[453].end 17340.037
transcript.whisperx[453].text 是就是尊重委員的提醒我要說明一下就是說我們在預判2016年度開始就核實調整那麼過去確實有這種情況但是因為我們是CIQS很多是在其他單位所以我們在相關單位的配合我們以後會加把勁也特別謝謝魯明哲委員的提示
transcript.whisperx[454].start 17340.797
transcript.whisperx[454].end 17363.656
transcript.whisperx[454].text 那這個我們還是希望能夠冰岸凍結兩千萬然後我們提書面報告不是 我跟大家說因為這是稅路齁你稅路用凍結是不是怪怪的非常奇怪 對對啊 稅路怎麼凍結稅路稅路是一般是不會用組密對啦 你是要把它檢列嘛
transcript.whisperx[455].start 17370.188
transcript.whisperx[455].end 17397.848
transcript.whisperx[455].text 剪裂2000萬收入我們還是剪裂多少來你的能力委員2000萬可以嗎好那港澳公司也同意那我們的一到二案就並案處理我們港灣建設計畫的稅率就剪裂2000萬好各位我們現在看第三到四案並案處理各位有意見嗎
transcript.whisperx[456].start 17401.668
transcript.whisperx[456].end 17415.915
transcript.whisperx[456].text 針對第三案的部分三到四案啊三三三跟四案嘛對嗎啊第三案第三案啊第三案啊來第三案提案委員黃委員不在呢有沒有要幫他拍眼的
transcript.whisperx[457].start 17418.085
transcript.whisperx[457].end 17432.282
transcript.whisperx[457].text 來你們跟黃委員有跟趙偉有溝通過嗎也是有溝通對他也同意刪除那個經同意這三個字有同意嗎有同意
transcript.whisperx[458].start 17436.426
transcript.whisperx[458].end 17457.035
transcript.whisperx[458].text 這個也是收入耶 收入要凍結喔你們自己講啦 檢列多少我就建議這個就不要凍結了 然後我們就改書面報告就改書面報告好不好我們的第三案我不能幫提交委員決定了那第三案我們就是
transcript.whisperx[459].start 17459.113
transcript.whisperx[459].end 17472.679
transcript.whisperx[459].text 不予處理啦好不好各位謝謝好我們第4案到第11案我們合併來處理各位4到11案有意見嗎請各位
transcript.whisperx[460].start 17476.161
transcript.whisperx[460].end 17488.848
transcript.whisperx[460].text 好如果沒有意見的話我們4-11案就不處理我們看第12-20案營業費用我們也合併處理12-20案請各位看12-20案各位有意見嗎
transcript.whisperx[461].start 17490.437
transcript.whisperx[461].end 17515.595
transcript.whisperx[461].text 沒有的話那我們就不處理21案跟22案我們並案處理請各位有意見嗎好 盧明哲委員對 盧委員的提議22案好 謝謝主席提的22案最主要是你們一個投資案事實上我們有很多一個公司我個人特別專注說你在本業以外投資
transcript.whisperx[462].start 17516.736
transcript.whisperx[462].end 17535.604
transcript.whisperx[462].text 那這個部分你們的投資跟港務看起來並沒有很直接的關係你們投資的主要是台灣智慧電能股份有限公司所以我們在幾個月前我們就非常非常擔心因為當時呢他們的這個現在叫前總經理前總經理 正總經理因為社會貪腐這個的部分已經
transcript.whisperx[463].start 17541.887
transcript.whisperx[463].end 17568.661
transcript.whisperx[463].text 事實上已經進入司法的一個部分所以這很明顯在公司他有一個存在治理風險畢竟總經理如果遇到一些問題他相關的在制度甚至有一些下屬可能連結都是一個風險那我覺得港澳公司經營本業那在這樣的一個情況之下有沒有必要來進行這樣的一個直接的一個投資那我覺得我個人是存在疑慮的
transcript.whisperx[464].start 17569.241
transcript.whisperx[464].end 17573.91
transcript.whisperx[464].text 那我這個部分我就提案凍結10%然後提出專案報告使得凍結
transcript.whisperx[465].start 17579.129
transcript.whisperx[465].end 17599.585
transcript.whisperx[465].text 跟委員報告一下這個部分因為我們是要做綠色港口那有很多岸電然後台資電的部分其實我們有通盤的一個考慮那細節的部分我請王總經理跟你報告那第二個我要報告一下因為這次投資案基本上經過董事會一個很長時間的審慎的一個討論
transcript.whisperx[466].start 17603.227
transcript.whisperx[466].end 17630.079
transcript.whisperx[466].text 那麼確實有衡量但是我覺得不能因業廢死就是說因為司法雖然台積電本身有一些在司法的一個進行那但是他完全這個案子是我們台灣港公司本於自己希望能夠走向智慧港口綠色港口那我們也需要這樣子的一個這個業外的這個投資這是純粹是站在
transcript.whisperx[467].start 17631.94
transcript.whisperx[467].end 17651.452
transcript.whisperx[467].text 台灣港澳公司未來長期的一個發展那麼也希望委員能夠支持那有關於當初的細節的部分我請王總監理還是跟您報告跟委員補充報告齁台積電目前的營業都是正常的啦齁那另外就是說他的股東都是用電大戶包括日夜光 聯電
transcript.whisperx[468].start 17652.853
transcript.whisperx[468].end 17671.539
transcript.whisperx[468].text 台達電這些上市公司上市上櫃公司其實是連連強強強聯手為什麼因為他們需要綠電那港屋公司就如同董事長剛剛報告的我們要岸電我們要很多的綠電還有包括我們未來行商三大國輪也要用岸電用綠電所以呢
transcript.whisperx[469].start 17673.039
transcript.whisperx[469].end 17693.457
transcript.whisperx[469].text 我們如果能夠入股的話等於有掌控權另外第二個就是說我們入股的要求我們會要求有一席董事所以我們在董事會會有等於有監督的權利所以說應該是在經營上不會有太有困難有問題那另外就是說
transcript.whisperx[470].start 17694.358
transcript.whisperx[470].end 17705.574
transcript.whisperx[470].text 他那邊寫的所謂避鎖期其實是為了這些大股東希望穩定能夠拿到綠電所以避鎖期是好事而不是是去限縮我們的權利跟股權的問題所以說
transcript.whisperx[471].start 17711.062
transcript.whisperx[471].end 17729.345
transcript.whisperx[471].text 拜託委員能夠支持 謝謝好 陸委員好 謝謝主席其實我的建議是因為你們公司的一個決策經過董事會 經過很多的考量但是可能也有一些上級政治的一個使命因素
transcript.whisperx[472].start 17730.066
transcript.whisperx[472].end 17754.862
transcript.whisperx[472].text 但是最終的一個結局你們都要去為這個公司再做一個負責當然國家的一個用電開始逐步在轉變要綠電的部分未來核能搞不好會變成綠電第二個是我們也聽到了機場公司也要變成全世界綠能示範一個集體跟你們港口的概念一樣但他不一定要去加入要去投資變成這一家綠能公司一個股東這是兩回事
transcript.whisperx[473].start 17755.883
transcript.whisperx[473].end 17779.921
transcript.whisperx[473].text 這是兩回事那我們希望說你們這個是經過真的去考量不要經過幾年之後我們在算這筆帳的時候你最後跟我們講說抱歉當時考慮的不清楚那我這個專案報告變書面報告凍結10%應該沒問題吧好 謝謝啦那我們就遵照盧委員的提案各位我們第22案我們就凍結1000萬
transcript.whisperx[474].start 17783.266
transcript.whisperx[474].end 17807.591
transcript.whisperx[474].text 凍結1000萬差不多10%啦凍結1000萬那請一個月內向加農委員會提一個月內可以提書面報告後 使得凍資報告一下就可以如果有需要的話 堅決的話我們就修正通過各位有沒有其他意見的話那接下來我們就看第23到26案各位有沒有意見
transcript.whisperx[475].start 17809.031
transcript.whisperx[475].end 17820.588
transcript.whisperx[475].text 好沒有意見的話那我們就不處理喔好各位我們看27案開始的組決議27案港澳公司
transcript.whisperx[476].start 17824.588
transcript.whisperx[476].end 17845.395
transcript.whisperx[476].text 二十七案遵照辦理通過二十八案遵照辦理通過二十九案遵照辦理通過三十案修改文字就是跟那個航港局一樣第三十案修正在最後倒數第三行並提出適當之補償方案以彌補當地漁民
transcript.whisperx[477].start 17849.599
transcript.whisperx[477].end 17868.885
transcript.whisperx[477].text 漁業權被限制之損失這幾個文字刪除其他這個航港局是同案好那我們第三十案修正通過各位我們看三十一案三十一案建議就是要求修正那邊開始刪除到條款倒數第二行要求修正
transcript.whisperx[478].start 17871.707
transcript.whisperx[478].end 17893.278
transcript.whisperx[478].text 要求修正式要求修正式約中不合理之限縮權利條款這幾個文字刪除然後最後改為書面報告好各位那我們修正通過第32案遵照辦理通過33案30號遵照辦理通過34案30號遵照辦理35案
transcript.whisperx[479].start 17894.898
transcript.whisperx[479].end 17905.066
transcript.whisperx[479].text 遵照辦理通過36案那個專案報告最後4個字啊專案改為書面報告36案修正通過37案專案改為書面報告修正通過38案
transcript.whisperx[480].start 17911.951
transcript.whisperx[480].end 17935.948
transcript.whisperx[480].text 也是一樣 中案改為書面報告 38案修正通過 39案39案就是遵照辦理 但是他那個最後編列欲是不是少一個算遵照 編列欲算對 我們 謝謝遵照辦理那我們修正通過啦 那少寫一個字好 第
transcript.whisperx[481].start 17937.789
transcript.whisperx[481].end 17952.395
transcript.whisperx[481].text 40案遵照辦理通過41案遵照辦理通過42案遵照辦理通過43案就最後一行提出書面報告就這樣改書面43案
transcript.whisperx[482].start 17953.755
transcript.whisperx[482].end 17970.764
transcript.whisperx[482].text 改為書面報告修正通過44案謝謝委員那也是一樣就是最後提出書面報告改為書面報告修正通過45案謝謝委員我們也是最後一行45案各位委員一樣改為書面報告修正通過感謝委員謝謝謝謝召委謝謝各位委員謝謝
transcript.whisperx[483].start 17992.403
transcript.whisperx[483].end 18016.485
transcript.whisperx[483].text 好跟委員會報告各位我們協商完成做以下的宣告今日協商結論免以宣讀我們授權議事人員整理作為決議列入紀錄委員要求提供的書面報告及相關資料請交通部及相關機關盡速以書面答覆如有委員對於提案補簽列入紀錄並刊登公報
transcript.whisperx[484].start 18017.446
transcript.whisperx[484].end 18029.842
transcript.whisperx[484].text 那針對本日會議我們也做以下的決議第一本日預算審查結果照協商結論通過第二本日通過的決議文字授權主席及議事人員調整
transcript.whisperx[485].start 18031.209
transcript.whisperx[485].end 18056.388
transcript.whisperx[485].text 第三 我們115年度交通部中央氣象署 觀光署及所屬 公路局及所屬 航港局單位預算直轄市及縣市政府一般性補助款 交通部主管第二幕至第四幕航港建設基金非營業預算及台灣港務股份有限公司營業預算審查完畢 散會