iVOD / 15751

Field Value
IVOD_ID 15751
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15751
日期 2024-03-25
會議資料.會議代碼 委員會-11-1-26-8
會議資料.會議代碼:str 第11屆第1會期社會福利及衛生環境委員會第8次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 8
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第1會期社會福利及衛生環境委員會第8次全體委員會議
影片種類 Full
開始時間 2024-03-25T08:30:30+08:00
結束時間 2024-03-25T13:35:00+08:00
影片長度 05:04:30
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/bfaf9b39ac01a68510c940d6246953a290a0be61fea148183be8d109af184be4f6273d13c8ed43235ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-03-25T09:00:00+08:00
會議名稱 立法院第11屆第1會期社會福利及衛生環境委員會第8次全體委員會議(事由:一、邀請勞動部部長就「事業單位應加強安全衛生管理制度、作業流程及必要教育 訓練,並落實職場防災管理」進行專題報告,並備質詢。 二、處理中華民國113年度中央政府總預算有關勞動部主管預算凍結案21案(含報告事項20案及討論事項1案)。 【專題報告及討論事項綜合詢答】)
委員名稱 完整會議
委員發言時間 08:30:30 - 13:35:00
transcript.pyannote[0].speaker SPEAKER_34
transcript.pyannote[0].start 1772.29409375
transcript.pyannote[0].end 1772.61471875
transcript.pyannote[1].speaker SPEAKER_34
transcript.pyannote[1].start 1772.96909375
transcript.pyannote[1].end 1773.00284375
transcript.pyannote[2].speaker SPEAKER_11
transcript.pyannote[2].start 1779.51659375
transcript.pyannote[2].end 1780.17471875
transcript.pyannote[3].speaker SPEAKER_11
transcript.pyannote[3].start 1780.47846875
transcript.pyannote[3].end 1787.02596875
transcript.pyannote[4].speaker SPEAKER_17
transcript.pyannote[4].start 1787.02596875
transcript.pyannote[4].end 1787.61659375
transcript.pyannote[5].speaker SPEAKER_17
transcript.pyannote[5].start 1787.85284375
transcript.pyannote[5].end 1834.27596875
transcript.pyannote[6].speaker SPEAKER_17
transcript.pyannote[6].start 1834.59659375
transcript.pyannote[6].end 1846.05471875
transcript.pyannote[7].speaker SPEAKER_17
transcript.pyannote[7].start 1846.45971875
transcript.pyannote[7].end 1900.84784375
transcript.pyannote[8].speaker SPEAKER_17
transcript.pyannote[8].start 1901.30346875
transcript.pyannote[8].end 1939.05284375
transcript.pyannote[9].speaker SPEAKER_17
transcript.pyannote[9].start 1940.31846875
transcript.pyannote[9].end 1940.97659375
transcript.pyannote[10].speaker SPEAKER_11
transcript.pyannote[10].start 1940.97659375
transcript.pyannote[10].end 1941.75284375
transcript.pyannote[11].speaker SPEAKER_17
transcript.pyannote[11].start 1941.75284375
transcript.pyannote[11].end 1941.97221875
transcript.pyannote[12].speaker SPEAKER_11
transcript.pyannote[12].start 1941.97221875
transcript.pyannote[12].end 1944.95909375
transcript.pyannote[13].speaker SPEAKER_11
transcript.pyannote[13].start 1946.39346875
transcript.pyannote[13].end 1960.97346875
transcript.pyannote[14].speaker SPEAKER_11
transcript.pyannote[14].start 1961.07471875
transcript.pyannote[14].end 1963.92659375
transcript.pyannote[15].speaker SPEAKER_11
transcript.pyannote[15].start 1964.28096875
transcript.pyannote[15].end 1971.57096875
transcript.pyannote[16].speaker SPEAKER_11
transcript.pyannote[16].start 1972.60034375
transcript.pyannote[16].end 1972.98846875
transcript.pyannote[17].speaker SPEAKER_11
transcript.pyannote[17].start 1973.24159375
transcript.pyannote[17].end 1975.97534375
transcript.pyannote[18].speaker SPEAKER_11
transcript.pyannote[18].start 1976.43096875
transcript.pyannote[18].end 1980.36284375
transcript.pyannote[19].speaker SPEAKER_11
transcript.pyannote[19].start 1981.74659375
transcript.pyannote[19].end 1987.06221875
transcript.pyannote[20].speaker SPEAKER_11
transcript.pyannote[20].start 1989.57659375
transcript.pyannote[20].end 1990.92659375
transcript.pyannote[21].speaker SPEAKER_11
transcript.pyannote[21].start 1992.85034375
transcript.pyannote[21].end 1994.50409375
transcript.pyannote[22].speaker SPEAKER_11
transcript.pyannote[22].start 1996.29284375
transcript.pyannote[22].end 1997.59221875
transcript.pyannote[23].speaker SPEAKER_11
transcript.pyannote[23].start 1999.07721875
transcript.pyannote[23].end 2000.30909375
transcript.pyannote[24].speaker SPEAKER_11
transcript.pyannote[24].start 2001.84471875
transcript.pyannote[24].end 2008.13909375
transcript.pyannote[25].speaker SPEAKER_11
transcript.pyannote[25].start 2009.06721875
transcript.pyannote[25].end 2011.68284375
transcript.pyannote[26].speaker SPEAKER_11
transcript.pyannote[26].start 2012.86409375
transcript.pyannote[26].end 2015.58096875
transcript.pyannote[27].speaker SPEAKER_11
transcript.pyannote[27].start 2016.71159375
transcript.pyannote[27].end 2019.78284375
transcript.pyannote[28].speaker SPEAKER_11
transcript.pyannote[28].start 2020.72784375
transcript.pyannote[28].end 2024.69346875
transcript.pyannote[29].speaker SPEAKER_11
transcript.pyannote[29].start 2025.55409375
transcript.pyannote[29].end 2028.16971875
transcript.pyannote[30].speaker SPEAKER_11
transcript.pyannote[30].start 2030.02596875
transcript.pyannote[30].end 2032.77659375
transcript.pyannote[31].speaker SPEAKER_11
transcript.pyannote[31].start 2034.49784375
transcript.pyannote[31].end 2036.89409375
transcript.pyannote[32].speaker SPEAKER_11
transcript.pyannote[32].start 2038.21034375
transcript.pyannote[32].end 2041.24784375
transcript.pyannote[33].speaker SPEAKER_11
transcript.pyannote[33].start 2042.26034375
transcript.pyannote[33].end 2047.25534375
transcript.pyannote[34].speaker SPEAKER_11
transcript.pyannote[34].start 2048.40284375
transcript.pyannote[34].end 2050.03971875
transcript.pyannote[35].speaker SPEAKER_11
transcript.pyannote[35].start 2050.27596875
transcript.pyannote[35].end 2051.79471875
transcript.pyannote[36].speaker SPEAKER_11
transcript.pyannote[36].start 2052.67221875
transcript.pyannote[36].end 2055.03471875
transcript.pyannote[37].speaker SPEAKER_11
transcript.pyannote[37].start 2056.04721875
transcript.pyannote[37].end 2061.75096875
transcript.pyannote[38].speaker SPEAKER_11
transcript.pyannote[38].start 2062.47659375
transcript.pyannote[38].end 2075.03159375
transcript.pyannote[39].speaker SPEAKER_17
transcript.pyannote[39].start 2075.03159375
transcript.pyannote[39].end 2075.28471875
transcript.pyannote[40].speaker SPEAKER_11
transcript.pyannote[40].start 2075.67284375
transcript.pyannote[40].end 2075.68971875
transcript.pyannote[41].speaker SPEAKER_17
transcript.pyannote[41].start 2075.68971875
transcript.pyannote[41].end 2194.48971875
transcript.pyannote[42].speaker SPEAKER_11
transcript.pyannote[42].start 2194.48971875
transcript.pyannote[42].end 2194.50659375
transcript.pyannote[43].speaker SPEAKER_17
transcript.pyannote[43].start 2195.67096875
transcript.pyannote[43].end 2195.70471875
transcript.pyannote[44].speaker SPEAKER_11
transcript.pyannote[44].start 2195.70471875
transcript.pyannote[44].end 2200.12596875
transcript.pyannote[45].speaker SPEAKER_11
transcript.pyannote[45].start 2201.22284375
transcript.pyannote[45].end 2206.06596875
transcript.pyannote[46].speaker SPEAKER_11
transcript.pyannote[46].start 2207.66909375
transcript.pyannote[46].end 2213.64284375
transcript.pyannote[47].speaker SPEAKER_09
transcript.pyannote[47].start 2221.64159375
transcript.pyannote[47].end 2224.15596875
transcript.pyannote[48].speaker SPEAKER_09
transcript.pyannote[48].start 2224.56096875
transcript.pyannote[48].end 2228.15534375
transcript.pyannote[49].speaker SPEAKER_09
transcript.pyannote[49].start 2228.50971875
transcript.pyannote[49].end 2232.23909375
transcript.pyannote[50].speaker SPEAKER_09
transcript.pyannote[50].start 2232.42471875
transcript.pyannote[50].end 2234.56784375
transcript.pyannote[51].speaker SPEAKER_09
transcript.pyannote[51].start 2234.83784375
transcript.pyannote[51].end 2238.19596875
transcript.pyannote[52].speaker SPEAKER_09
transcript.pyannote[52].start 2238.44909375
transcript.pyannote[52].end 2240.57534375
transcript.pyannote[53].speaker SPEAKER_09
transcript.pyannote[53].start 2240.87909375
transcript.pyannote[53].end 2243.81534375
transcript.pyannote[54].speaker SPEAKER_09
transcript.pyannote[54].start 2244.33846875
transcript.pyannote[54].end 2251.61159375
transcript.pyannote[55].speaker SPEAKER_09
transcript.pyannote[55].start 2252.15159375
transcript.pyannote[55].end 2257.36596875
transcript.pyannote[56].speaker SPEAKER_09
transcript.pyannote[56].start 2257.66971875
transcript.pyannote[56].end 2259.79596875
transcript.pyannote[57].speaker SPEAKER_09
transcript.pyannote[57].start 2260.16721875
transcript.pyannote[57].end 2263.28909375
transcript.pyannote[58].speaker SPEAKER_09
transcript.pyannote[58].start 2263.55909375
transcript.pyannote[58].end 2265.48284375
transcript.pyannote[59].speaker SPEAKER_09
transcript.pyannote[59].start 2266.12409375
transcript.pyannote[59].end 2271.35534375
transcript.pyannote[60].speaker SPEAKER_09
transcript.pyannote[60].start 2271.77721875
transcript.pyannote[60].end 2275.03409375
transcript.pyannote[61].speaker SPEAKER_09
transcript.pyannote[61].start 2275.32096875
transcript.pyannote[61].end 2276.35034375
transcript.pyannote[62].speaker SPEAKER_09
transcript.pyannote[62].start 2276.62034375
transcript.pyannote[62].end 2278.56096875
transcript.pyannote[63].speaker SPEAKER_09
transcript.pyannote[63].start 2278.79721875
transcript.pyannote[63].end 2279.82659375
transcript.pyannote[64].speaker SPEAKER_09
transcript.pyannote[64].start 2279.99534375
transcript.pyannote[64].end 2280.34971875
transcript.pyannote[65].speaker SPEAKER_09
transcript.pyannote[65].start 2280.80534375
transcript.pyannote[65].end 2283.03284375
transcript.pyannote[66].speaker SPEAKER_09
transcript.pyannote[66].start 2283.43784375
transcript.pyannote[66].end 2286.93096875
transcript.pyannote[67].speaker SPEAKER_09
transcript.pyannote[67].start 2287.38659375
transcript.pyannote[67].end 2288.26409375
transcript.pyannote[68].speaker SPEAKER_09
transcript.pyannote[68].start 2288.92221875
transcript.pyannote[68].end 2291.99346875
transcript.pyannote[69].speaker SPEAKER_09
transcript.pyannote[69].start 2292.24659375
transcript.pyannote[69].end 2293.56284375
transcript.pyannote[70].speaker SPEAKER_09
transcript.pyannote[70].start 2293.81596875
transcript.pyannote[70].end 2295.50346875
transcript.pyannote[71].speaker SPEAKER_09
transcript.pyannote[71].start 2295.72284375
transcript.pyannote[71].end 2297.78159375
transcript.pyannote[72].speaker SPEAKER_09
transcript.pyannote[72].start 2298.15284375
transcript.pyannote[72].end 2300.04284375
transcript.pyannote[73].speaker SPEAKER_09
transcript.pyannote[73].start 2300.17784375
transcript.pyannote[73].end 2301.24096875
transcript.pyannote[74].speaker SPEAKER_09
transcript.pyannote[74].start 2301.39284375
transcript.pyannote[74].end 2302.42221875
transcript.pyannote[75].speaker SPEAKER_09
transcript.pyannote[75].start 2302.87784375
transcript.pyannote[75].end 2304.44721875
transcript.pyannote[76].speaker SPEAKER_09
transcript.pyannote[76].start 2304.83534375
transcript.pyannote[76].end 2306.77596875
transcript.pyannote[77].speaker SPEAKER_09
transcript.pyannote[77].start 2307.11346875
transcript.pyannote[77].end 2310.50534375
transcript.pyannote[78].speaker SPEAKER_09
transcript.pyannote[78].start 2310.97784375
transcript.pyannote[78].end 2313.57659375
transcript.pyannote[79].speaker SPEAKER_09
transcript.pyannote[79].start 2313.62721875
transcript.pyannote[79].end 2314.58909375
transcript.pyannote[80].speaker SPEAKER_09
transcript.pyannote[80].start 2315.41596875
transcript.pyannote[80].end 2317.64346875
transcript.pyannote[81].speaker SPEAKER_09
transcript.pyannote[81].start 2318.08221875
transcript.pyannote[81].end 2320.74846875
transcript.pyannote[82].speaker SPEAKER_09
transcript.pyannote[82].start 2321.13659375
transcript.pyannote[82].end 2324.44409375
transcript.pyannote[83].speaker SPEAKER_09
transcript.pyannote[83].start 2324.61284375
transcript.pyannote[83].end 2339.00721875
transcript.pyannote[84].speaker SPEAKER_09
transcript.pyannote[84].start 2339.42909375
transcript.pyannote[84].end 2343.69846875
transcript.pyannote[85].speaker SPEAKER_09
transcript.pyannote[85].start 2344.08659375
transcript.pyannote[85].end 2346.55034375
transcript.pyannote[86].speaker SPEAKER_09
transcript.pyannote[86].start 2346.58409375
transcript.pyannote[86].end 2350.75221875
transcript.pyannote[87].speaker SPEAKER_09
transcript.pyannote[87].start 2351.24159375
transcript.pyannote[87].end 2354.75159375
transcript.pyannote[88].speaker SPEAKER_09
transcript.pyannote[88].start 2355.03846875
transcript.pyannote[88].end 2357.50221875
transcript.pyannote[89].speaker SPEAKER_09
transcript.pyannote[89].start 2357.97471875
transcript.pyannote[89].end 2362.59846875
transcript.pyannote[90].speaker SPEAKER_09
transcript.pyannote[90].start 2362.83471875
transcript.pyannote[90].end 2365.61909375
transcript.pyannote[91].speaker SPEAKER_09
transcript.pyannote[91].start 2366.12534375
transcript.pyannote[91].end 2370.41159375
transcript.pyannote[92].speaker SPEAKER_09
transcript.pyannote[92].start 2370.86721875
transcript.pyannote[92].end 2377.53284375
transcript.pyannote[93].speaker SPEAKER_09
transcript.pyannote[93].start 2377.70159375
transcript.pyannote[93].end 2380.16534375
transcript.pyannote[94].speaker SPEAKER_09
transcript.pyannote[94].start 2380.28346875
transcript.pyannote[94].end 2382.47721875
transcript.pyannote[95].speaker SPEAKER_09
transcript.pyannote[95].start 2383.59096875
transcript.pyannote[95].end 2385.07596875
transcript.pyannote[96].speaker SPEAKER_09
transcript.pyannote[96].start 2385.10971875
transcript.pyannote[96].end 2387.08409375
transcript.pyannote[97].speaker SPEAKER_09
transcript.pyannote[97].start 2387.37096875
transcript.pyannote[97].end 2388.31596875
transcript.pyannote[98].speaker SPEAKER_09
transcript.pyannote[98].start 2388.56909375
transcript.pyannote[98].end 2391.13409375
transcript.pyannote[99].speaker SPEAKER_09
transcript.pyannote[99].start 2391.38721875
transcript.pyannote[99].end 2393.04096875
transcript.pyannote[100].speaker SPEAKER_09
transcript.pyannote[100].start 2393.44596875
transcript.pyannote[100].end 2395.84221875
transcript.pyannote[101].speaker SPEAKER_09
transcript.pyannote[101].start 2396.02784375
transcript.pyannote[101].end 2396.97284375
transcript.pyannote[102].speaker SPEAKER_09
transcript.pyannote[102].start 2397.25971875
transcript.pyannote[102].end 2399.75721875
transcript.pyannote[103].speaker SPEAKER_09
transcript.pyannote[103].start 2400.24659375
transcript.pyannote[103].end 2403.19971875
transcript.pyannote[104].speaker SPEAKER_09
transcript.pyannote[104].start 2403.53721875
transcript.pyannote[104].end 2404.98846875
transcript.pyannote[105].speaker SPEAKER_09
transcript.pyannote[105].start 2405.41034375
transcript.pyannote[105].end 2412.07596875
transcript.pyannote[106].speaker SPEAKER_09
transcript.pyannote[106].start 2412.53159375
transcript.pyannote[106].end 2414.50596875
transcript.pyannote[107].speaker SPEAKER_09
transcript.pyannote[107].start 2414.70846875
transcript.pyannote[107].end 2418.74159375
transcript.pyannote[108].speaker SPEAKER_09
transcript.pyannote[108].start 2419.31534375
transcript.pyannote[108].end 2423.53409375
transcript.pyannote[109].speaker SPEAKER_09
transcript.pyannote[109].start 2423.70284375
transcript.pyannote[109].end 2432.25846875
transcript.pyannote[110].speaker SPEAKER_09
transcript.pyannote[110].start 2433.11909375
transcript.pyannote[110].end 2433.65909375
transcript.pyannote[111].speaker SPEAKER_09
transcript.pyannote[111].start 2434.38471875
transcript.pyannote[111].end 2436.49409375
transcript.pyannote[112].speaker SPEAKER_09
transcript.pyannote[112].start 2437.00034375
transcript.pyannote[112].end 2439.36284375
transcript.pyannote[113].speaker SPEAKER_09
transcript.pyannote[113].start 2439.66659375
transcript.pyannote[113].end 2441.15159375
transcript.pyannote[114].speaker SPEAKER_09
transcript.pyannote[114].start 2441.47221875
transcript.pyannote[114].end 2445.21846875
transcript.pyannote[115].speaker SPEAKER_09
transcript.pyannote[115].start 2445.69096875
transcript.pyannote[115].end 2448.03659375
transcript.pyannote[116].speaker SPEAKER_09
transcript.pyannote[116].start 2448.42471875
transcript.pyannote[116].end 2451.12471875
transcript.pyannote[117].speaker SPEAKER_09
transcript.pyannote[117].start 2451.24284375
transcript.pyannote[117].end 2453.36909375
transcript.pyannote[118].speaker SPEAKER_09
transcript.pyannote[118].start 2453.60534375
transcript.pyannote[118].end 2456.40659375
transcript.pyannote[119].speaker SPEAKER_09
transcript.pyannote[119].start 2456.65971875
transcript.pyannote[119].end 2458.53284375
transcript.pyannote[120].speaker SPEAKER_09
transcript.pyannote[120].start 2459.66346875
transcript.pyannote[120].end 2461.87409375
transcript.pyannote[121].speaker SPEAKER_09
transcript.pyannote[121].start 2462.12721875
transcript.pyannote[121].end 2463.71346875
transcript.pyannote[122].speaker SPEAKER_09
transcript.pyannote[122].start 2464.05096875
transcript.pyannote[122].end 2467.74659375
transcript.pyannote[123].speaker SPEAKER_09
transcript.pyannote[123].start 2467.98284375
transcript.pyannote[123].end 2470.24409375
transcript.pyannote[124].speaker SPEAKER_09
transcript.pyannote[124].start 2470.46346875
transcript.pyannote[124].end 2471.20596875
transcript.pyannote[125].speaker SPEAKER_09
transcript.pyannote[125].start 2471.54346875
transcript.pyannote[125].end 2471.86409375
transcript.pyannote[126].speaker SPEAKER_09
transcript.pyannote[126].start 2472.16784375
transcript.pyannote[126].end 2472.92721875
transcript.pyannote[127].speaker SPEAKER_09
transcript.pyannote[127].start 2473.31534375
transcript.pyannote[127].end 2477.83784375
transcript.pyannote[128].speaker SPEAKER_09
transcript.pyannote[128].start 2478.25971875
transcript.pyannote[128].end 2479.96409375
transcript.pyannote[129].speaker SPEAKER_09
transcript.pyannote[129].start 2480.13284375
transcript.pyannote[129].end 2481.97221875
transcript.pyannote[130].speaker SPEAKER_09
transcript.pyannote[130].start 2482.46159375
transcript.pyannote[130].end 2486.30909375
transcript.pyannote[131].speaker SPEAKER_09
transcript.pyannote[131].start 2486.54534375
transcript.pyannote[131].end 2488.21596875
transcript.pyannote[132].speaker SPEAKER_09
transcript.pyannote[132].start 2488.55346875
transcript.pyannote[132].end 2490.74721875
transcript.pyannote[133].speaker SPEAKER_09
transcript.pyannote[133].start 2490.83159375
transcript.pyannote[133].end 2492.53596875
transcript.pyannote[134].speaker SPEAKER_09
transcript.pyannote[134].start 2492.72159375
transcript.pyannote[134].end 2494.35846875
transcript.pyannote[135].speaker SPEAKER_09
transcript.pyannote[135].start 2494.81409375
transcript.pyannote[135].end 2498.39159375
transcript.pyannote[136].speaker SPEAKER_09
transcript.pyannote[136].start 2498.59409375
transcript.pyannote[136].end 2499.43784375
transcript.pyannote[137].speaker SPEAKER_09
transcript.pyannote[137].start 2499.67409375
transcript.pyannote[137].end 2502.17159375
transcript.pyannote[138].speaker SPEAKER_09
transcript.pyannote[138].start 2502.39096875
transcript.pyannote[138].end 2503.75784375
transcript.pyannote[139].speaker SPEAKER_09
transcript.pyannote[139].start 2504.02784375
transcript.pyannote[139].end 2505.58034375
transcript.pyannote[140].speaker SPEAKER_09
transcript.pyannote[140].start 2505.79971875
transcript.pyannote[140].end 2507.82471875
transcript.pyannote[141].speaker SPEAKER_09
transcript.pyannote[141].start 2508.43221875
transcript.pyannote[141].end 2512.02659375
transcript.pyannote[142].speaker SPEAKER_09
transcript.pyannote[142].start 2512.39784375
transcript.pyannote[142].end 2517.54471875
transcript.pyannote[143].speaker SPEAKER_09
transcript.pyannote[143].start 2518.20284375
transcript.pyannote[143].end 2521.81409375
transcript.pyannote[144].speaker SPEAKER_09
transcript.pyannote[144].start 2521.98284375
transcript.pyannote[144].end 2525.35784375
transcript.pyannote[145].speaker SPEAKER_09
transcript.pyannote[145].start 2525.67846875
transcript.pyannote[145].end 2529.61034375
transcript.pyannote[146].speaker SPEAKER_09
transcript.pyannote[146].start 2530.08284375
transcript.pyannote[146].end 2534.09909375
transcript.pyannote[147].speaker SPEAKER_09
transcript.pyannote[147].start 2534.55471875
transcript.pyannote[147].end 2535.58409375
transcript.pyannote[148].speaker SPEAKER_09
transcript.pyannote[148].start 2535.85409375
transcript.pyannote[148].end 2536.10721875
transcript.pyannote[149].speaker SPEAKER_09
transcript.pyannote[149].start 2536.27596875
transcript.pyannote[149].end 2537.17034375
transcript.pyannote[150].speaker SPEAKER_09
transcript.pyannote[150].start 2537.25471875
transcript.pyannote[150].end 2540.10659375
transcript.pyannote[151].speaker SPEAKER_09
transcript.pyannote[151].start 2540.51159375
transcript.pyannote[151].end 2542.85721875
transcript.pyannote[152].speaker SPEAKER_09
transcript.pyannote[152].start 2543.34659375
transcript.pyannote[152].end 2546.55284375
transcript.pyannote[153].speaker SPEAKER_09
transcript.pyannote[153].start 2546.94096875
transcript.pyannote[153].end 2549.87721875
transcript.pyannote[154].speaker SPEAKER_09
transcript.pyannote[154].start 2550.07971875
transcript.pyannote[154].end 2552.74596875
transcript.pyannote[155].speaker SPEAKER_09
transcript.pyannote[155].start 2553.13409375
transcript.pyannote[155].end 2555.91846875
transcript.pyannote[156].speaker SPEAKER_09
transcript.pyannote[156].start 2555.95221875
transcript.pyannote[156].end 2561.38596875
transcript.pyannote[157].speaker SPEAKER_09
transcript.pyannote[157].start 2562.19596875
transcript.pyannote[157].end 2565.48659375
transcript.pyannote[158].speaker SPEAKER_09
transcript.pyannote[158].start 2565.57096875
transcript.pyannote[158].end 2566.88721875
transcript.pyannote[159].speaker SPEAKER_09
transcript.pyannote[159].start 2567.07284375
transcript.pyannote[159].end 2568.01784375
transcript.pyannote[160].speaker SPEAKER_09
transcript.pyannote[160].start 2568.32159375
transcript.pyannote[160].end 2569.65471875
transcript.pyannote[161].speaker SPEAKER_09
transcript.pyannote[161].start 2569.85721875
transcript.pyannote[161].end 2571.79784375
transcript.pyannote[162].speaker SPEAKER_09
transcript.pyannote[162].start 2572.00034375
transcript.pyannote[162].end 2574.21096875
transcript.pyannote[163].speaker SPEAKER_09
transcript.pyannote[163].start 2574.43034375
transcript.pyannote[163].end 2575.54409375
transcript.pyannote[164].speaker SPEAKER_09
transcript.pyannote[164].start 2575.89846875
transcript.pyannote[164].end 2577.28221875
transcript.pyannote[165].speaker SPEAKER_09
transcript.pyannote[165].start 2577.55221875
transcript.pyannote[165].end 2580.28596875
transcript.pyannote[166].speaker SPEAKER_09
transcript.pyannote[166].start 2580.53909375
transcript.pyannote[166].end 2582.15909375
transcript.pyannote[167].speaker SPEAKER_09
transcript.pyannote[167].start 2582.51346875
transcript.pyannote[167].end 2584.48784375
transcript.pyannote[168].speaker SPEAKER_09
transcript.pyannote[168].start 2584.92659375
transcript.pyannote[168].end 2586.37784375
transcript.pyannote[169].speaker SPEAKER_09
transcript.pyannote[169].start 2587.06971875
transcript.pyannote[169].end 2590.32659375
transcript.pyannote[170].speaker SPEAKER_09
transcript.pyannote[170].start 2590.59659375
transcript.pyannote[170].end 2593.34721875
transcript.pyannote[171].speaker SPEAKER_09
transcript.pyannote[171].start 2593.93784375
transcript.pyannote[171].end 2595.60846875
transcript.pyannote[172].speaker SPEAKER_09
transcript.pyannote[172].start 2595.92909375
transcript.pyannote[172].end 2598.05534375
transcript.pyannote[173].speaker SPEAKER_09
transcript.pyannote[173].start 2598.22409375
transcript.pyannote[173].end 2600.29971875
transcript.pyannote[174].speaker SPEAKER_09
transcript.pyannote[174].start 2600.68784375
transcript.pyannote[174].end 2603.59034375
transcript.pyannote[175].speaker SPEAKER_09
transcript.pyannote[175].start 2604.07971875
transcript.pyannote[175].end 2604.75471875
transcript.pyannote[176].speaker SPEAKER_09
transcript.pyannote[176].start 2605.14284375
transcript.pyannote[176].end 2605.42971875
transcript.pyannote[177].speaker SPEAKER_09
transcript.pyannote[177].start 2605.86846875
transcript.pyannote[177].end 2608.80471875
transcript.pyannote[178].speaker SPEAKER_09
transcript.pyannote[178].start 2608.83846875
transcript.pyannote[178].end 2610.05346875
transcript.pyannote[179].speaker SPEAKER_09
transcript.pyannote[179].start 2610.37409375
transcript.pyannote[179].end 2615.85846875
transcript.pyannote[180].speaker SPEAKER_09
transcript.pyannote[180].start 2616.09471875
transcript.pyannote[180].end 2618.10284375
transcript.pyannote[181].speaker SPEAKER_09
transcript.pyannote[181].start 2618.11971875
transcript.pyannote[181].end 2620.07721875
transcript.pyannote[182].speaker SPEAKER_09
transcript.pyannote[182].start 2620.65096875
transcript.pyannote[182].end 2622.38909375
transcript.pyannote[183].speaker SPEAKER_09
transcript.pyannote[183].start 2622.62534375
transcript.pyannote[183].end 2625.44346875
transcript.pyannote[184].speaker SPEAKER_09
transcript.pyannote[184].start 2625.86534375
transcript.pyannote[184].end 2628.39659375
transcript.pyannote[185].speaker SPEAKER_09
transcript.pyannote[185].start 2628.64971875
transcript.pyannote[185].end 2629.93221875
transcript.pyannote[186].speaker SPEAKER_09
transcript.pyannote[186].start 2630.33721875
transcript.pyannote[186].end 2632.07534375
transcript.pyannote[187].speaker SPEAKER_09
transcript.pyannote[187].start 2632.27784375
transcript.pyannote[187].end 2632.98659375
transcript.pyannote[188].speaker SPEAKER_09
transcript.pyannote[188].start 2633.35784375
transcript.pyannote[188].end 2636.80034375
transcript.pyannote[189].speaker SPEAKER_09
transcript.pyannote[189].start 2637.28971875
transcript.pyannote[189].end 2640.37784375
transcript.pyannote[190].speaker SPEAKER_09
transcript.pyannote[190].start 2640.59721875
transcript.pyannote[190].end 2641.10346875
transcript.pyannote[191].speaker SPEAKER_09
transcript.pyannote[191].start 2641.28909375
transcript.pyannote[191].end 2643.38159375
transcript.pyannote[192].speaker SPEAKER_09
transcript.pyannote[192].start 2643.83721875
transcript.pyannote[192].end 2645.45721875
transcript.pyannote[193].speaker SPEAKER_09
transcript.pyannote[193].start 2645.55846875
transcript.pyannote[193].end 2646.16596875
transcript.pyannote[194].speaker SPEAKER_09
transcript.pyannote[194].start 2646.46971875
transcript.pyannote[194].end 2650.40159375
transcript.pyannote[195].speaker SPEAKER_09
transcript.pyannote[195].start 2650.70534375
transcript.pyannote[195].end 2651.22846875
transcript.pyannote[196].speaker SPEAKER_09
transcript.pyannote[196].start 2651.34659375
transcript.pyannote[196].end 2653.84409375
transcript.pyannote[197].speaker SPEAKER_09
transcript.pyannote[197].start 2654.09721875
transcript.pyannote[197].end 2654.85659375
transcript.pyannote[198].speaker SPEAKER_09
transcript.pyannote[198].start 2655.16034375
transcript.pyannote[198].end 2657.48909375
transcript.pyannote[199].speaker SPEAKER_09
transcript.pyannote[199].start 2657.94471875
transcript.pyannote[199].end 2660.76284375
transcript.pyannote[200].speaker SPEAKER_09
transcript.pyannote[200].start 2661.25221875
transcript.pyannote[200].end 2664.25596875
transcript.pyannote[201].speaker SPEAKER_09
transcript.pyannote[201].start 2664.66096875
transcript.pyannote[201].end 2666.98971875
transcript.pyannote[202].speaker SPEAKER_09
transcript.pyannote[202].start 2667.22596875
transcript.pyannote[202].end 2668.74471875
transcript.pyannote[203].speaker SPEAKER_09
transcript.pyannote[203].start 2668.87971875
transcript.pyannote[203].end 2669.95971875
transcript.pyannote[204].speaker SPEAKER_09
transcript.pyannote[204].start 2670.12846875
transcript.pyannote[204].end 2673.52034375
transcript.pyannote[205].speaker SPEAKER_11
transcript.pyannote[205].start 2673.52034375
transcript.pyannote[205].end 2673.53721875
transcript.pyannote[206].speaker SPEAKER_11
transcript.pyannote[206].start 2676.01784375
transcript.pyannote[206].end 2676.32159375
transcript.pyannote[207].speaker SPEAKER_11
transcript.pyannote[207].start 2676.62534375
transcript.pyannote[207].end 2694.27659375
transcript.pyannote[208].speaker SPEAKER_11
transcript.pyannote[208].start 2694.49596875
transcript.pyannote[208].end 2699.84534375
transcript.pyannote[209].speaker SPEAKER_11
transcript.pyannote[209].start 2699.99721875
transcript.pyannote[209].end 2710.12221875
transcript.pyannote[210].speaker SPEAKER_11
transcript.pyannote[210].start 2715.85971875
transcript.pyannote[210].end 2715.87659375
transcript.pyannote[211].speaker SPEAKER_13
transcript.pyannote[211].start 2715.87659375
transcript.pyannote[211].end 2718.71159375
transcript.pyannote[212].speaker SPEAKER_13
transcript.pyannote[212].start 2723.50409375
transcript.pyannote[212].end 2764.49346875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 2731.48596875
transcript.pyannote[213].end 2731.92471875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 2734.00034375
transcript.pyannote[214].end 2734.18596875
transcript.pyannote[215].speaker SPEAKER_05
transcript.pyannote[215].start 2736.16034375
transcript.pyannote[215].end 2737.20659375
transcript.pyannote[216].speaker SPEAKER_05
transcript.pyannote[216].start 2737.54409375
transcript.pyannote[216].end 2737.59471875
transcript.pyannote[217].speaker SPEAKER_19
transcript.pyannote[217].start 2742.77534375
transcript.pyannote[217].end 2743.01159375
transcript.pyannote[218].speaker SPEAKER_19
transcript.pyannote[218].start 2744.44596875
transcript.pyannote[218].end 2744.85096875
transcript.pyannote[219].speaker SPEAKER_13
transcript.pyannote[219].start 2765.03346875
transcript.pyannote[219].end 2803.25534375
transcript.pyannote[220].speaker SPEAKER_09
transcript.pyannote[220].start 2803.96409375
transcript.pyannote[220].end 2816.50221875
transcript.pyannote[221].speaker SPEAKER_13
transcript.pyannote[221].start 2812.21596875
transcript.pyannote[221].end 2812.53659375
transcript.pyannote[222].speaker SPEAKER_13
transcript.pyannote[222].start 2813.22846875
transcript.pyannote[222].end 2813.76846875
transcript.pyannote[223].speaker SPEAKER_13
transcript.pyannote[223].start 2816.48534375
transcript.pyannote[223].end 2873.16846875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 2852.68221875
transcript.pyannote[224].end 2852.76659375
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 2852.76659375
transcript.pyannote[225].end 2852.96909375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 2852.96909375
transcript.pyannote[226].end 2853.45846875
transcript.pyannote[227].speaker SPEAKER_13
transcript.pyannote[227].start 2873.40471875
transcript.pyannote[227].end 2899.05471875
transcript.pyannote[228].speaker SPEAKER_13
transcript.pyannote[228].start 2899.35846875
transcript.pyannote[228].end 2901.80534375
transcript.pyannote[229].speaker SPEAKER_09
transcript.pyannote[229].start 2901.16409375
transcript.pyannote[229].end 2902.22721875
transcript.pyannote[230].speaker SPEAKER_09
transcript.pyannote[230].start 2902.53096875
transcript.pyannote[230].end 2911.50846875
transcript.pyannote[231].speaker SPEAKER_13
transcript.pyannote[231].start 2906.10846875
transcript.pyannote[231].end 2906.12534375
transcript.pyannote[232].speaker SPEAKER_10
transcript.pyannote[232].start 2906.12534375
transcript.pyannote[232].end 2906.39534375
transcript.pyannote[233].speaker SPEAKER_10
transcript.pyannote[233].start 2910.98534375
transcript.pyannote[233].end 2911.28909375
transcript.pyannote[234].speaker SPEAKER_09
transcript.pyannote[234].start 2912.06534375
transcript.pyannote[234].end 2919.57471875
transcript.pyannote[235].speaker SPEAKER_09
transcript.pyannote[235].start 2919.60846875
transcript.pyannote[235].end 2922.03846875
transcript.pyannote[236].speaker SPEAKER_13
transcript.pyannote[236].start 2921.78534375
transcript.pyannote[236].end 2931.80909375
transcript.pyannote[237].speaker SPEAKER_13
transcript.pyannote[237].start 2932.01159375
transcript.pyannote[237].end 2947.30034375
transcript.pyannote[238].speaker SPEAKER_13
transcript.pyannote[238].start 2947.87409375
transcript.pyannote[238].end 2955.85596875
transcript.pyannote[239].speaker SPEAKER_13
transcript.pyannote[239].start 2956.04159375
transcript.pyannote[239].end 2960.47971875
transcript.pyannote[240].speaker SPEAKER_13
transcript.pyannote[240].start 2961.30659375
transcript.pyannote[240].end 2965.39034375
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 2965.08659375
transcript.pyannote[241].end 2965.86284375
transcript.pyannote[242].speaker SPEAKER_13
transcript.pyannote[242].start 2965.86284375
transcript.pyannote[242].end 2982.40034375
transcript.pyannote[243].speaker SPEAKER_05
transcript.pyannote[243].start 2965.89659375
transcript.pyannote[243].end 2965.94721875
transcript.pyannote[244].speaker SPEAKER_09
transcript.pyannote[244].start 2982.75471875
transcript.pyannote[244].end 2991.69846875
transcript.pyannote[245].speaker SPEAKER_13
transcript.pyannote[245].start 2984.13846875
transcript.pyannote[245].end 2984.91471875
transcript.pyannote[246].speaker SPEAKER_13
transcript.pyannote[246].start 2985.28596875
transcript.pyannote[246].end 2986.14659375
transcript.pyannote[247].speaker SPEAKER_10
transcript.pyannote[247].start 2990.53409375
transcript.pyannote[247].end 2991.83346875
transcript.pyannote[248].speaker SPEAKER_09
transcript.pyannote[248].start 2991.83346875
transcript.pyannote[248].end 2997.90846875
transcript.pyannote[249].speaker SPEAKER_09
transcript.pyannote[249].start 2998.21221875
transcript.pyannote[249].end 3000.43971875
transcript.pyannote[250].speaker SPEAKER_10
transcript.pyannote[250].start 2998.33034375
transcript.pyannote[250].end 2998.41471875
transcript.pyannote[251].speaker SPEAKER_13
transcript.pyannote[251].start 2998.41471875
transcript.pyannote[251].end 2998.43159375
transcript.pyannote[252].speaker SPEAKER_10
transcript.pyannote[252].start 2998.43159375
transcript.pyannote[252].end 2998.60034375
transcript.pyannote[253].speaker SPEAKER_13
transcript.pyannote[253].start 2998.60034375
transcript.pyannote[253].end 2998.71846875
transcript.pyannote[254].speaker SPEAKER_09
transcript.pyannote[254].start 3000.74346875
transcript.pyannote[254].end 3004.00034375
transcript.pyannote[255].speaker SPEAKER_13
transcript.pyannote[255].start 3002.88659375
transcript.pyannote[255].end 3012.15096875
transcript.pyannote[256].speaker SPEAKER_09
transcript.pyannote[256].start 3004.92846875
transcript.pyannote[256].end 3007.13909375
transcript.pyannote[257].speaker SPEAKER_13
transcript.pyannote[257].start 3012.35346875
transcript.pyannote[257].end 3012.48846875
transcript.pyannote[258].speaker SPEAKER_09
transcript.pyannote[258].start 3012.48846875
transcript.pyannote[258].end 3012.58971875
transcript.pyannote[259].speaker SPEAKER_13
transcript.pyannote[259].start 3012.58971875
transcript.pyannote[259].end 3013.23096875
transcript.pyannote[260].speaker SPEAKER_13
transcript.pyannote[260].start 3013.36596875
transcript.pyannote[260].end 3016.09971875
transcript.pyannote[261].speaker SPEAKER_09
transcript.pyannote[261].start 3013.48409375
transcript.pyannote[261].end 3014.19284375
transcript.pyannote[262].speaker SPEAKER_09
transcript.pyannote[262].start 3015.59346875
transcript.pyannote[262].end 3017.60159375
transcript.pyannote[263].speaker SPEAKER_13
transcript.pyannote[263].start 3017.38221875
transcript.pyannote[263].end 3020.11596875
transcript.pyannote[264].speaker SPEAKER_09
transcript.pyannote[264].start 3019.62659375
transcript.pyannote[264].end 3020.72346875
transcript.pyannote[265].speaker SPEAKER_13
transcript.pyannote[265].start 3020.40284375
transcript.pyannote[265].end 3050.44034375
transcript.pyannote[266].speaker SPEAKER_13
transcript.pyannote[266].start 3050.60909375
transcript.pyannote[266].end 3058.89471875
transcript.pyannote[267].speaker SPEAKER_13
transcript.pyannote[267].start 3059.38409375
transcript.pyannote[267].end 3060.80159375
transcript.pyannote[268].speaker SPEAKER_13
transcript.pyannote[268].start 3060.97034375
transcript.pyannote[268].end 3066.67409375
transcript.pyannote[269].speaker SPEAKER_13
transcript.pyannote[269].start 3067.14659375
transcript.pyannote[269].end 3070.50471875
transcript.pyannote[270].speaker SPEAKER_09
transcript.pyannote[270].start 3070.57221875
transcript.pyannote[270].end 3077.20409375
transcript.pyannote[271].speaker SPEAKER_09
transcript.pyannote[271].start 3077.47409375
transcript.pyannote[271].end 3082.53659375
transcript.pyannote[272].speaker SPEAKER_09
transcript.pyannote[272].start 3082.82346875
transcript.pyannote[272].end 3087.02534375
transcript.pyannote[273].speaker SPEAKER_09
transcript.pyannote[273].start 3088.24034375
transcript.pyannote[273].end 3088.57784375
transcript.pyannote[274].speaker SPEAKER_13
transcript.pyannote[274].start 3089.23596875
transcript.pyannote[274].end 3092.54346875
transcript.pyannote[275].speaker SPEAKER_09
transcript.pyannote[275].start 3089.38784375
transcript.pyannote[275].end 3089.79284375
transcript.pyannote[276].speaker SPEAKER_09
transcript.pyannote[276].start 3090.55221875
transcript.pyannote[276].end 3090.78846875
transcript.pyannote[277].speaker SPEAKER_09
transcript.pyannote[277].start 3091.71659375
transcript.pyannote[277].end 3096.55971875
transcript.pyannote[278].speaker SPEAKER_09
transcript.pyannote[278].start 3097.38659375
transcript.pyannote[278].end 3098.65221875
transcript.pyannote[279].speaker SPEAKER_09
transcript.pyannote[279].start 3098.92221875
transcript.pyannote[279].end 3117.70409375
transcript.pyannote[280].speaker SPEAKER_08
transcript.pyannote[280].start 3100.13721875
transcript.pyannote[280].end 3101.36909375
transcript.pyannote[281].speaker SPEAKER_13
transcript.pyannote[281].start 3101.77409375
transcript.pyannote[281].end 3101.80784375
transcript.pyannote[282].speaker SPEAKER_08
transcript.pyannote[282].start 3101.80784375
transcript.pyannote[282].end 3103.68096875
transcript.pyannote[283].speaker SPEAKER_08
transcript.pyannote[283].start 3103.83284375
transcript.pyannote[283].end 3104.37284375
transcript.pyannote[284].speaker SPEAKER_08
transcript.pyannote[284].start 3105.38534375
transcript.pyannote[284].end 3107.15721875
transcript.pyannote[285].speaker SPEAKER_13
transcript.pyannote[285].start 3107.15721875
transcript.pyannote[285].end 3107.96721875
transcript.pyannote[286].speaker SPEAKER_10
transcript.pyannote[286].start 3107.96721875
transcript.pyannote[286].end 3108.03471875
transcript.pyannote[287].speaker SPEAKER_05
transcript.pyannote[287].start 3108.03471875
transcript.pyannote[287].end 3108.35534375
transcript.pyannote[288].speaker SPEAKER_10
transcript.pyannote[288].start 3108.35534375
transcript.pyannote[288].end 3108.45659375
transcript.pyannote[289].speaker SPEAKER_05
transcript.pyannote[289].start 3108.69284375
transcript.pyannote[289].end 3108.86159375
transcript.pyannote[290].speaker SPEAKER_13
transcript.pyannote[290].start 3115.57784375
transcript.pyannote[290].end 3140.43471875
transcript.pyannote[291].speaker SPEAKER_09
transcript.pyannote[291].start 3119.44221875
transcript.pyannote[291].end 3119.77971875
transcript.pyannote[292].speaker SPEAKER_09
transcript.pyannote[292].start 3139.89471875
transcript.pyannote[292].end 3140.40096875
transcript.pyannote[293].speaker SPEAKER_09
transcript.pyannote[293].start 3140.43471875
transcript.pyannote[293].end 3140.45159375
transcript.pyannote[294].speaker SPEAKER_13
transcript.pyannote[294].start 3140.45159375
transcript.pyannote[294].end 3140.97471875
transcript.pyannote[295].speaker SPEAKER_09
transcript.pyannote[295].start 3140.97471875
transcript.pyannote[295].end 3149.02409375
transcript.pyannote[296].speaker SPEAKER_13
transcript.pyannote[296].start 3149.02409375
transcript.pyannote[296].end 3149.46284375
transcript.pyannote[297].speaker SPEAKER_09
transcript.pyannote[297].start 3149.85096875
transcript.pyannote[297].end 3149.88471875
transcript.pyannote[298].speaker SPEAKER_13
transcript.pyannote[298].start 3149.88471875
transcript.pyannote[298].end 3154.44096875
transcript.pyannote[299].speaker SPEAKER_09
transcript.pyannote[299].start 3154.44096875
transcript.pyannote[299].end 3161.62971875
transcript.pyannote[300].speaker SPEAKER_13
transcript.pyannote[300].start 3154.47471875
transcript.pyannote[300].end 3154.93034375
transcript.pyannote[301].speaker SPEAKER_09
transcript.pyannote[301].start 3162.01784375
transcript.pyannote[301].end 3178.48784375
transcript.pyannote[302].speaker SPEAKER_00
transcript.pyannote[302].start 3162.55784375
transcript.pyannote[302].end 3162.89534375
transcript.pyannote[303].speaker SPEAKER_05
transcript.pyannote[303].start 3162.89534375
transcript.pyannote[303].end 3163.19909375
transcript.pyannote[304].speaker SPEAKER_00
transcript.pyannote[304].start 3163.19909375
transcript.pyannote[304].end 3163.28346875
transcript.pyannote[305].speaker SPEAKER_05
transcript.pyannote[305].start 3165.03846875
transcript.pyannote[305].end 3165.84846875
transcript.pyannote[306].speaker SPEAKER_13
transcript.pyannote[306].start 3170.47221875
transcript.pyannote[306].end 3174.47159375
transcript.pyannote[307].speaker SPEAKER_13
transcript.pyannote[307].start 3178.48784375
transcript.pyannote[307].end 3202.14659375
transcript.pyannote[308].speaker SPEAKER_13
transcript.pyannote[308].start 3202.90596875
transcript.pyannote[308].end 3233.33159375
transcript.pyannote[309].speaker SPEAKER_09
transcript.pyannote[309].start 3231.82971875
transcript.pyannote[309].end 3233.16284375
transcript.pyannote[310].speaker SPEAKER_09
transcript.pyannote[310].start 3233.33159375
transcript.pyannote[310].end 3240.60471875
transcript.pyannote[311].speaker SPEAKER_13
transcript.pyannote[311].start 3240.28409375
transcript.pyannote[311].end 3245.44784375
transcript.pyannote[312].speaker SPEAKER_09
transcript.pyannote[312].start 3244.16534375
transcript.pyannote[312].end 3245.49846875
transcript.pyannote[313].speaker SPEAKER_09
transcript.pyannote[313].start 3245.75159375
transcript.pyannote[313].end 3248.56971875
transcript.pyannote[314].speaker SPEAKER_13
transcript.pyannote[314].start 3248.56971875
transcript.pyannote[314].end 3261.81659375
transcript.pyannote[315].speaker SPEAKER_09
transcript.pyannote[315].start 3250.72971875
transcript.pyannote[315].end 3250.96596875
transcript.pyannote[316].speaker SPEAKER_09
transcript.pyannote[316].start 3255.52221875
transcript.pyannote[316].end 3261.85034375
transcript.pyannote[317].speaker SPEAKER_13
transcript.pyannote[317].start 3261.85034375
transcript.pyannote[317].end 3261.91784375
transcript.pyannote[318].speaker SPEAKER_09
transcript.pyannote[318].start 3261.91784375
transcript.pyannote[318].end 3262.91346875
transcript.pyannote[319].speaker SPEAKER_13
transcript.pyannote[319].start 3262.91346875
transcript.pyannote[319].end 3262.96409375
transcript.pyannote[320].speaker SPEAKER_09
transcript.pyannote[320].start 3262.96409375
transcript.pyannote[320].end 3262.99784375
transcript.pyannote[321].speaker SPEAKER_13
transcript.pyannote[321].start 3262.99784375
transcript.pyannote[321].end 3295.41471875
transcript.pyannote[322].speaker SPEAKER_09
transcript.pyannote[322].start 3263.01471875
transcript.pyannote[322].end 3264.16221875
transcript.pyannote[323].speaker SPEAKER_08
transcript.pyannote[323].start 3293.08596875
transcript.pyannote[323].end 3293.32221875
transcript.pyannote[324].speaker SPEAKER_08
transcript.pyannote[324].start 3294.30096875
transcript.pyannote[324].end 3294.89159375
transcript.pyannote[325].speaker SPEAKER_08
transcript.pyannote[325].start 3295.48221875
transcript.pyannote[325].end 3298.68846875
transcript.pyannote[326].speaker SPEAKER_11
transcript.pyannote[326].start 3297.86159375
transcript.pyannote[326].end 3298.73909375
transcript.pyannote[327].speaker SPEAKER_13
transcript.pyannote[327].start 3298.68846875
transcript.pyannote[327].end 3299.34659375
transcript.pyannote[328].speaker SPEAKER_11
transcript.pyannote[328].start 3299.75159375
transcript.pyannote[328].end 3304.49346875
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 3306.23159375
transcript.pyannote[329].end 3306.24846875
transcript.pyannote[330].speaker SPEAKER_19
transcript.pyannote[330].start 3318.60096875
transcript.pyannote[330].end 3323.57909375
transcript.pyannote[331].speaker SPEAKER_07
transcript.pyannote[331].start 3328.00034375
transcript.pyannote[331].end 3328.01721875
transcript.pyannote[332].speaker SPEAKER_09
transcript.pyannote[332].start 3328.01721875
transcript.pyannote[332].end 3328.55721875
transcript.pyannote[333].speaker SPEAKER_07
transcript.pyannote[333].start 3328.55721875
transcript.pyannote[333].end 3328.57409375
transcript.pyannote[334].speaker SPEAKER_19
transcript.pyannote[334].start 3328.57409375
transcript.pyannote[334].end 3328.59096875
transcript.pyannote[335].speaker SPEAKER_19
transcript.pyannote[335].start 3329.26596875
transcript.pyannote[335].end 3329.99159375
transcript.pyannote[336].speaker SPEAKER_19
transcript.pyannote[336].start 3330.27846875
transcript.pyannote[336].end 3331.98284375
transcript.pyannote[337].speaker SPEAKER_19
transcript.pyannote[337].start 3332.33721875
transcript.pyannote[337].end 3332.82659375
transcript.pyannote[338].speaker SPEAKER_10
transcript.pyannote[338].start 3334.58159375
transcript.pyannote[338].end 3335.03721875
transcript.pyannote[339].speaker SPEAKER_10
transcript.pyannote[339].start 3336.30284375
transcript.pyannote[339].end 3336.52221875
transcript.pyannote[340].speaker SPEAKER_19
transcript.pyannote[340].start 3337.97346875
transcript.pyannote[340].end 3338.59784375
transcript.pyannote[341].speaker SPEAKER_19
transcript.pyannote[341].start 3339.37409375
transcript.pyannote[341].end 3342.81659375
transcript.pyannote[342].speaker SPEAKER_05
transcript.pyannote[342].start 3342.90096875
transcript.pyannote[342].end 3343.17096875
transcript.pyannote[343].speaker SPEAKER_19
transcript.pyannote[343].start 3343.17096875
transcript.pyannote[343].end 3345.73596875
transcript.pyannote[344].speaker SPEAKER_19
transcript.pyannote[344].start 3346.07346875
transcript.pyannote[344].end 3350.93346875
transcript.pyannote[345].speaker SPEAKER_05
transcript.pyannote[345].start 3352.14846875
transcript.pyannote[345].end 3352.16534375
transcript.pyannote[346].speaker SPEAKER_09
transcript.pyannote[346].start 3352.16534375
transcript.pyannote[346].end 3352.58721875
transcript.pyannote[347].speaker SPEAKER_05
transcript.pyannote[347].start 3352.58721875
transcript.pyannote[347].end 3352.60409375
transcript.pyannote[348].speaker SPEAKER_09
transcript.pyannote[348].start 3355.06784375
transcript.pyannote[348].end 3361.96971875
transcript.pyannote[349].speaker SPEAKER_19
transcript.pyannote[349].start 3361.78409375
transcript.pyannote[349].end 3361.85159375
transcript.pyannote[350].speaker SPEAKER_19
transcript.pyannote[350].start 3361.96971875
transcript.pyannote[350].end 3362.05409375
transcript.pyannote[351].speaker SPEAKER_09
transcript.pyannote[351].start 3362.05409375
transcript.pyannote[351].end 3362.07096875
transcript.pyannote[352].speaker SPEAKER_19
transcript.pyannote[352].start 3362.07096875
transcript.pyannote[352].end 3362.30721875
transcript.pyannote[353].speaker SPEAKER_19
transcript.pyannote[353].start 3362.89784375
transcript.pyannote[353].end 3369.07409375
transcript.pyannote[354].speaker SPEAKER_19
transcript.pyannote[354].start 3369.61409375
transcript.pyannote[354].end 3371.40284375
transcript.pyannote[355].speaker SPEAKER_19
transcript.pyannote[355].start 3372.55034375
transcript.pyannote[355].end 3378.11909375
transcript.pyannote[356].speaker SPEAKER_19
transcript.pyannote[356].start 3378.28784375
transcript.pyannote[356].end 3380.90346875
transcript.pyannote[357].speaker SPEAKER_19
transcript.pyannote[357].start 3381.51096875
transcript.pyannote[357].end 3389.37471875
transcript.pyannote[358].speaker SPEAKER_19
transcript.pyannote[358].start 3389.71221875
transcript.pyannote[358].end 3397.03596875
transcript.pyannote[359].speaker SPEAKER_19
transcript.pyannote[359].start 3397.15409375
transcript.pyannote[359].end 3399.98909375
transcript.pyannote[360].speaker SPEAKER_19
transcript.pyannote[360].start 3400.57971875
transcript.pyannote[360].end 3402.41909375
transcript.pyannote[361].speaker SPEAKER_09
transcript.pyannote[361].start 3403.36409375
transcript.pyannote[361].end 3407.65034375
transcript.pyannote[362].speaker SPEAKER_09
transcript.pyannote[362].start 3408.27471875
transcript.pyannote[362].end 3415.02471875
transcript.pyannote[363].speaker SPEAKER_19
transcript.pyannote[363].start 3415.02471875
transcript.pyannote[363].end 3415.58159375
transcript.pyannote[364].speaker SPEAKER_09
transcript.pyannote[364].start 3415.58159375
transcript.pyannote[364].end 3416.50971875
transcript.pyannote[365].speaker SPEAKER_19
transcript.pyannote[365].start 3415.61534375
transcript.pyannote[365].end 3415.66596875
transcript.pyannote[366].speaker SPEAKER_05
transcript.pyannote[366].start 3416.50971875
transcript.pyannote[366].end 3416.62784375
transcript.pyannote[367].speaker SPEAKER_09
transcript.pyannote[367].start 3416.94846875
transcript.pyannote[367].end 3420.28971875
transcript.pyannote[368].speaker SPEAKER_09
transcript.pyannote[368].start 3420.49221875
transcript.pyannote[368].end 3421.38659375
transcript.pyannote[369].speaker SPEAKER_09
transcript.pyannote[369].start 3421.79159375
transcript.pyannote[369].end 3426.83721875
transcript.pyannote[370].speaker SPEAKER_19
transcript.pyannote[370].start 3421.92659375
transcript.pyannote[370].end 3435.81471875
transcript.pyannote[371].speaker SPEAKER_19
transcript.pyannote[371].start 3436.48971875
transcript.pyannote[371].end 3437.28284375
transcript.pyannote[372].speaker SPEAKER_09
transcript.pyannote[372].start 3437.28284375
transcript.pyannote[372].end 3437.41784375
transcript.pyannote[373].speaker SPEAKER_19
transcript.pyannote[373].start 3437.41784375
transcript.pyannote[373].end 3438.02534375
transcript.pyannote[374].speaker SPEAKER_09
transcript.pyannote[374].start 3438.02534375
transcript.pyannote[374].end 3438.07596875
transcript.pyannote[375].speaker SPEAKER_19
transcript.pyannote[375].start 3438.07596875
transcript.pyannote[375].end 3438.14346875
transcript.pyannote[376].speaker SPEAKER_09
transcript.pyannote[376].start 3438.14346875
transcript.pyannote[376].end 3438.19409375
transcript.pyannote[377].speaker SPEAKER_19
transcript.pyannote[377].start 3438.19409375
transcript.pyannote[377].end 3438.98721875
transcript.pyannote[378].speaker SPEAKER_09
transcript.pyannote[378].start 3438.21096875
transcript.pyannote[378].end 3442.37909375
transcript.pyannote[379].speaker SPEAKER_09
transcript.pyannote[379].start 3443.00346875
transcript.pyannote[379].end 3448.62284375
transcript.pyannote[380].speaker SPEAKER_10
transcript.pyannote[380].start 3448.52159375
transcript.pyannote[380].end 3448.79159375
transcript.pyannote[381].speaker SPEAKER_09
transcript.pyannote[381].start 3448.75784375
transcript.pyannote[381].end 3460.48596875
transcript.pyannote[382].speaker SPEAKER_10
transcript.pyannote[382].start 3453.51659375
transcript.pyannote[382].end 3453.82034375
transcript.pyannote[383].speaker SPEAKER_10
transcript.pyannote[383].start 3454.98471875
transcript.pyannote[383].end 3455.64284375
transcript.pyannote[384].speaker SPEAKER_19
transcript.pyannote[384].start 3455.64284375
transcript.pyannote[384].end 3455.65971875
transcript.pyannote[385].speaker SPEAKER_19
transcript.pyannote[385].start 3460.41846875
transcript.pyannote[385].end 3461.21159375
transcript.pyannote[386].speaker SPEAKER_19
transcript.pyannote[386].start 3461.80221875
transcript.pyannote[386].end 3464.99159375
transcript.pyannote[387].speaker SPEAKER_19
transcript.pyannote[387].start 3466.54409375
transcript.pyannote[387].end 3484.70159375
transcript.pyannote[388].speaker SPEAKER_09
transcript.pyannote[388].start 3485.17409375
transcript.pyannote[388].end 3532.50846875
transcript.pyannote[389].speaker SPEAKER_18
transcript.pyannote[389].start 3497.59409375
transcript.pyannote[389].end 3497.96534375
transcript.pyannote[390].speaker SPEAKER_00
transcript.pyannote[390].start 3497.96534375
transcript.pyannote[390].end 3498.57284375
transcript.pyannote[391].speaker SPEAKER_00
transcript.pyannote[391].start 3524.10471875
transcript.pyannote[391].end 3524.13846875
transcript.pyannote[392].speaker SPEAKER_08
transcript.pyannote[392].start 3524.13846875
transcript.pyannote[392].end 3524.49284375
transcript.pyannote[393].speaker SPEAKER_19
transcript.pyannote[393].start 3526.01159375
transcript.pyannote[393].end 3526.11284375
transcript.pyannote[394].speaker SPEAKER_19
transcript.pyannote[394].start 3531.61409375
transcript.pyannote[394].end 3542.66721875
transcript.pyannote[395].speaker SPEAKER_19
transcript.pyannote[395].start 3543.25784375
transcript.pyannote[395].end 3545.78909375
transcript.pyannote[396].speaker SPEAKER_19
transcript.pyannote[396].start 3546.51471875
transcript.pyannote[396].end 3548.72534375
transcript.pyannote[397].speaker SPEAKER_19
transcript.pyannote[397].start 3548.97846875
transcript.pyannote[397].end 3555.12096875
transcript.pyannote[398].speaker SPEAKER_19
transcript.pyannote[398].start 3555.61034375
transcript.pyannote[398].end 3567.37221875
transcript.pyannote[399].speaker SPEAKER_19
transcript.pyannote[399].start 3567.42284375
transcript.pyannote[399].end 3567.43971875
transcript.pyannote[400].speaker SPEAKER_09
transcript.pyannote[400].start 3567.43971875
transcript.pyannote[400].end 3567.86159375
transcript.pyannote[401].speaker SPEAKER_09
transcript.pyannote[401].start 3569.00909375
transcript.pyannote[401].end 3585.02346875
transcript.pyannote[402].speaker SPEAKER_19
transcript.pyannote[402].start 3573.58221875
transcript.pyannote[402].end 3573.90284375
transcript.pyannote[403].speaker SPEAKER_09
transcript.pyannote[403].start 3585.24284375
transcript.pyannote[403].end 3589.83284375
transcript.pyannote[404].speaker SPEAKER_19
transcript.pyannote[404].start 3587.70659375
transcript.pyannote[404].end 3593.96721875
transcript.pyannote[405].speaker SPEAKER_09
transcript.pyannote[405].start 3596.21159375
transcript.pyannote[405].end 3608.42909375
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 3607.11284375
transcript.pyannote[406].end 3608.46284375
transcript.pyannote[407].speaker SPEAKER_09
transcript.pyannote[407].start 3608.83409375
transcript.pyannote[407].end 3620.54534375
transcript.pyannote[408].speaker SPEAKER_05
transcript.pyannote[408].start 3609.12096875
transcript.pyannote[408].end 3609.28971875
transcript.pyannote[409].speaker SPEAKER_05
transcript.pyannote[409].start 3609.34034375
transcript.pyannote[409].end 3609.54284375
transcript.pyannote[410].speaker SPEAKER_19
transcript.pyannote[410].start 3618.14909375
transcript.pyannote[410].end 3618.58784375
transcript.pyannote[411].speaker SPEAKER_19
transcript.pyannote[411].start 3619.56659375
transcript.pyannote[411].end 3619.95471875
transcript.pyannote[412].speaker SPEAKER_19
transcript.pyannote[412].start 3620.46096875
transcript.pyannote[412].end 3624.47721875
transcript.pyannote[413].speaker SPEAKER_19
transcript.pyannote[413].start 3624.86534375
transcript.pyannote[413].end 3625.32096875
transcript.pyannote[414].speaker SPEAKER_19
transcript.pyannote[414].start 3625.87784375
transcript.pyannote[414].end 3627.97034375
transcript.pyannote[415].speaker SPEAKER_19
transcript.pyannote[415].start 3628.83096875
transcript.pyannote[415].end 3643.76534375
transcript.pyannote[416].speaker SPEAKER_19
transcript.pyannote[416].start 3644.22096875
transcript.pyannote[416].end 3645.70596875
transcript.pyannote[417].speaker SPEAKER_19
transcript.pyannote[417].start 3645.97596875
transcript.pyannote[417].end 3646.14471875
transcript.pyannote[418].speaker SPEAKER_19
transcript.pyannote[418].start 3646.19534375
transcript.pyannote[418].end 3648.20346875
transcript.pyannote[419].speaker SPEAKER_19
transcript.pyannote[419].start 3648.49034375
transcript.pyannote[419].end 3666.91784375
transcript.pyannote[420].speaker SPEAKER_19
transcript.pyannote[420].start 3667.00221875
transcript.pyannote[420].end 3668.70659375
transcript.pyannote[421].speaker SPEAKER_19
transcript.pyannote[421].start 3669.44909375
transcript.pyannote[421].end 3675.89534375
transcript.pyannote[422].speaker SPEAKER_19
transcript.pyannote[422].start 3676.01346875
transcript.pyannote[422].end 3684.29909375
transcript.pyannote[423].speaker SPEAKER_05
transcript.pyannote[423].start 3676.23284375
transcript.pyannote[423].end 3676.36784375
transcript.pyannote[424].speaker SPEAKER_19
transcript.pyannote[424].start 3684.56909375
transcript.pyannote[424].end 3686.56034375
transcript.pyannote[425].speaker SPEAKER_19
transcript.pyannote[425].start 3688.38284375
transcript.pyannote[425].end 3690.64409375
transcript.pyannote[426].speaker SPEAKER_19
transcript.pyannote[426].start 3690.93096875
transcript.pyannote[426].end 3695.80784375
transcript.pyannote[427].speaker SPEAKER_19
transcript.pyannote[427].start 3696.63471875
transcript.pyannote[427].end 3700.11096875
transcript.pyannote[428].speaker SPEAKER_19
transcript.pyannote[428].start 3701.74784375
transcript.pyannote[428].end 3703.57034375
transcript.pyannote[429].speaker SPEAKER_19
transcript.pyannote[429].start 3704.98784375
transcript.pyannote[429].end 3710.50596875
transcript.pyannote[430].speaker SPEAKER_05
transcript.pyannote[430].start 3710.69159375
transcript.pyannote[430].end 3710.94471875
transcript.pyannote[431].speaker SPEAKER_19
transcript.pyannote[431].start 3711.02909375
transcript.pyannote[431].end 3714.25221875
transcript.pyannote[432].speaker SPEAKER_19
transcript.pyannote[432].start 3714.48846875
transcript.pyannote[432].end 3716.49659375
transcript.pyannote[433].speaker SPEAKER_10
transcript.pyannote[433].start 3716.90159375
transcript.pyannote[433].end 3717.03659375
transcript.pyannote[434].speaker SPEAKER_19
transcript.pyannote[434].start 3717.03659375
transcript.pyannote[434].end 3719.73659375
transcript.pyannote[435].speaker SPEAKER_10
transcript.pyannote[435].start 3717.13784375
transcript.pyannote[435].end 3717.34034375
transcript.pyannote[436].speaker SPEAKER_09
transcript.pyannote[436].start 3717.34034375
transcript.pyannote[436].end 3717.81284375
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 3717.81284375
transcript.pyannote[437].end 3717.84659375
transcript.pyannote[438].speaker SPEAKER_09
transcript.pyannote[438].start 3718.96034375
transcript.pyannote[438].end 3719.95596875
transcript.pyannote[439].speaker SPEAKER_09
transcript.pyannote[439].start 3720.14159375
transcript.pyannote[439].end 3733.52346875
transcript.pyannote[440].speaker SPEAKER_08
transcript.pyannote[440].start 3725.28846875
transcript.pyannote[440].end 3725.55846875
transcript.pyannote[441].speaker SPEAKER_05
transcript.pyannote[441].start 3725.55846875
transcript.pyannote[441].end 3725.57534375
transcript.pyannote[442].speaker SPEAKER_19
transcript.pyannote[442].start 3731.93721875
transcript.pyannote[442].end 3741.84284375
transcript.pyannote[443].speaker SPEAKER_13
transcript.pyannote[443].start 3734.13096875
transcript.pyannote[443].end 3734.26596875
transcript.pyannote[444].speaker SPEAKER_09
transcript.pyannote[444].start 3734.26596875
transcript.pyannote[444].end 3734.78909375
transcript.pyannote[445].speaker SPEAKER_13
transcript.pyannote[445].start 3734.78909375
transcript.pyannote[445].end 3735.02534375
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 3735.02534375
transcript.pyannote[446].end 3735.05909375
transcript.pyannote[447].speaker SPEAKER_13
transcript.pyannote[447].start 3735.05909375
transcript.pyannote[447].end 3735.43034375
transcript.pyannote[448].speaker SPEAKER_09
transcript.pyannote[448].start 3735.43034375
transcript.pyannote[448].end 3735.48096875
transcript.pyannote[449].speaker SPEAKER_10
transcript.pyannote[449].start 3735.48096875
transcript.pyannote[449].end 3735.64971875
transcript.pyannote[450].speaker SPEAKER_09
transcript.pyannote[450].start 3735.64971875
transcript.pyannote[450].end 3736.00409375
transcript.pyannote[451].speaker SPEAKER_09
transcript.pyannote[451].start 3740.77971875
transcript.pyannote[451].end 3741.31971875
transcript.pyannote[452].speaker SPEAKER_09
transcript.pyannote[452].start 3742.26471875
transcript.pyannote[452].end 3749.94284375
transcript.pyannote[453].speaker SPEAKER_00
transcript.pyannote[453].start 3749.14971875
transcript.pyannote[453].end 3749.16659375
transcript.pyannote[454].speaker SPEAKER_19
transcript.pyannote[454].start 3749.16659375
transcript.pyannote[454].end 3749.41971875
transcript.pyannote[455].speaker SPEAKER_00
transcript.pyannote[455].start 3749.41971875
transcript.pyannote[455].end 3749.50409375
transcript.pyannote[456].speaker SPEAKER_09
transcript.pyannote[456].start 3750.38159375
transcript.pyannote[456].end 3758.65034375
transcript.pyannote[457].speaker SPEAKER_09
transcript.pyannote[457].start 3759.22409375
transcript.pyannote[457].end 3760.52346875
transcript.pyannote[458].speaker SPEAKER_23
transcript.pyannote[458].start 3760.91159375
transcript.pyannote[458].end 3761.24909375
transcript.pyannote[459].speaker SPEAKER_09
transcript.pyannote[459].start 3761.45159375
transcript.pyannote[459].end 3761.90721875
transcript.pyannote[460].speaker SPEAKER_23
transcript.pyannote[460].start 3761.90721875
transcript.pyannote[460].end 3762.97034375
transcript.pyannote[461].speaker SPEAKER_09
transcript.pyannote[461].start 3762.56534375
transcript.pyannote[461].end 3775.39034375
transcript.pyannote[462].speaker SPEAKER_23
transcript.pyannote[462].start 3765.28221875
transcript.pyannote[462].end 3765.68721875
transcript.pyannote[463].speaker SPEAKER_23
transcript.pyannote[463].start 3766.56471875
transcript.pyannote[463].end 3767.61096875
transcript.pyannote[464].speaker SPEAKER_23
transcript.pyannote[464].start 3769.11284375
transcript.pyannote[464].end 3769.14659375
transcript.pyannote[465].speaker SPEAKER_19
transcript.pyannote[465].start 3769.14659375
transcript.pyannote[465].end 3769.51784375
transcript.pyannote[466].speaker SPEAKER_19
transcript.pyannote[466].start 3774.56346875
transcript.pyannote[466].end 3785.14409375
transcript.pyannote[467].speaker SPEAKER_09
transcript.pyannote[467].start 3775.47471875
transcript.pyannote[467].end 3776.79096875
transcript.pyannote[468].speaker SPEAKER_09
transcript.pyannote[468].start 3778.95096875
transcript.pyannote[468].end 3779.20409375
transcript.pyannote[469].speaker SPEAKER_09
transcript.pyannote[469].start 3783.18659375
transcript.pyannote[469].end 3783.86159375
transcript.pyannote[470].speaker SPEAKER_09
transcript.pyannote[470].start 3784.46909375
transcript.pyannote[470].end 3803.52096875
transcript.pyannote[471].speaker SPEAKER_06
transcript.pyannote[471].start 3791.40471875
transcript.pyannote[471].end 3791.69159375
transcript.pyannote[472].speaker SPEAKER_05
transcript.pyannote[472].start 3803.52096875
transcript.pyannote[472].end 3803.75721875
transcript.pyannote[473].speaker SPEAKER_09
transcript.pyannote[473].start 3803.75721875
transcript.pyannote[473].end 3808.60034375
transcript.pyannote[474].speaker SPEAKER_19
transcript.pyannote[474].start 3808.51596875
transcript.pyannote[474].end 3809.03909375
transcript.pyannote[475].speaker SPEAKER_19
transcript.pyannote[475].start 3809.15721875
transcript.pyannote[475].end 3813.64596875
transcript.pyannote[476].speaker SPEAKER_19
transcript.pyannote[476].start 3813.91596875
transcript.pyannote[476].end 3817.03784375
transcript.pyannote[477].speaker SPEAKER_10
transcript.pyannote[477].start 3817.03784375
transcript.pyannote[477].end 3817.57784375
transcript.pyannote[478].speaker SPEAKER_19
transcript.pyannote[478].start 3817.29096875
transcript.pyannote[478].end 3824.44596875
transcript.pyannote[479].speaker SPEAKER_10
transcript.pyannote[479].start 3820.37909375
transcript.pyannote[479].end 3820.85159375
transcript.pyannote[480].speaker SPEAKER_10
transcript.pyannote[480].start 3824.02409375
transcript.pyannote[480].end 3824.05784375
transcript.pyannote[481].speaker SPEAKER_05
transcript.pyannote[481].start 3824.05784375
transcript.pyannote[481].end 3824.74971875
transcript.pyannote[482].speaker SPEAKER_10
transcript.pyannote[482].start 3824.74971875
transcript.pyannote[482].end 3824.76659375
transcript.pyannote[483].speaker SPEAKER_19
transcript.pyannote[483].start 3824.86784375
transcript.pyannote[483].end 3827.80409375
transcript.pyannote[484].speaker SPEAKER_19
transcript.pyannote[484].start 3828.04034375
transcript.pyannote[484].end 3830.11596875
transcript.pyannote[485].speaker SPEAKER_19
transcript.pyannote[485].start 3830.79096875
transcript.pyannote[485].end 3831.43221875
transcript.pyannote[486].speaker SPEAKER_19
transcript.pyannote[486].start 3831.75284375
transcript.pyannote[486].end 3832.63034375
transcript.pyannote[487].speaker SPEAKER_19
transcript.pyannote[487].start 3833.37284375
transcript.pyannote[487].end 3833.96346875
transcript.pyannote[488].speaker SPEAKER_19
transcript.pyannote[488].start 3834.53721875
transcript.pyannote[488].end 3836.86596875
transcript.pyannote[489].speaker SPEAKER_19
transcript.pyannote[489].start 3837.10221875
transcript.pyannote[489].end 3851.22659375
transcript.pyannote[490].speaker SPEAKER_19
transcript.pyannote[490].start 3851.54721875
transcript.pyannote[490].end 3853.85909375
transcript.pyannote[491].speaker SPEAKER_19
transcript.pyannote[491].start 3854.71971875
transcript.pyannote[491].end 3855.29346875
transcript.pyannote[492].speaker SPEAKER_19
transcript.pyannote[492].start 3855.81659375
transcript.pyannote[492].end 3860.81159375
transcript.pyannote[493].speaker SPEAKER_19
transcript.pyannote[493].start 3861.36846875
transcript.pyannote[493].end 3869.75534375
transcript.pyannote[494].speaker SPEAKER_19
transcript.pyannote[494].start 3870.26159375
transcript.pyannote[494].end 3871.17284375
transcript.pyannote[495].speaker SPEAKER_19
transcript.pyannote[495].start 3871.32471875
transcript.pyannote[495].end 3878.15909375
transcript.pyannote[496].speaker SPEAKER_09
transcript.pyannote[496].start 3878.98596875
transcript.pyannote[496].end 3880.85909375
transcript.pyannote[497].speaker SPEAKER_09
transcript.pyannote[497].start 3881.17971875
transcript.pyannote[497].end 3889.04346875
transcript.pyannote[498].speaker SPEAKER_09
transcript.pyannote[498].start 3889.43159375
transcript.pyannote[498].end 3896.36721875
transcript.pyannote[499].speaker SPEAKER_09
transcript.pyannote[499].start 3897.10971875
transcript.pyannote[499].end 3897.85221875
transcript.pyannote[500].speaker SPEAKER_09
transcript.pyannote[500].start 3898.00409375
transcript.pyannote[500].end 3911.57159375
transcript.pyannote[501].speaker SPEAKER_19
transcript.pyannote[501].start 3909.86721875
transcript.pyannote[501].end 3910.39034375
transcript.pyannote[502].speaker SPEAKER_09
transcript.pyannote[502].start 3912.04409375
transcript.pyannote[502].end 3928.53096875
transcript.pyannote[503].speaker SPEAKER_19
transcript.pyannote[503].start 3922.25346875
transcript.pyannote[503].end 3922.54034375
transcript.pyannote[504].speaker SPEAKER_19
transcript.pyannote[504].start 3928.14284375
transcript.pyannote[504].end 3930.94409375
transcript.pyannote[505].speaker SPEAKER_09
transcript.pyannote[505].start 3932.07471875
transcript.pyannote[505].end 3938.16659375
transcript.pyannote[506].speaker SPEAKER_09
transcript.pyannote[506].start 3938.48721875
transcript.pyannote[506].end 3938.97659375
transcript.pyannote[507].speaker SPEAKER_09
transcript.pyannote[507].start 3939.85409375
transcript.pyannote[507].end 3942.75659375
transcript.pyannote[508].speaker SPEAKER_09
transcript.pyannote[508].start 3942.99284375
transcript.pyannote[508].end 3943.34721875
transcript.pyannote[509].speaker SPEAKER_19
transcript.pyannote[509].start 3943.54971875
transcript.pyannote[509].end 3947.44784375
transcript.pyannote[510].speaker SPEAKER_19
transcript.pyannote[510].start 3947.85284375
transcript.pyannote[510].end 3948.24096875
transcript.pyannote[511].speaker SPEAKER_19
transcript.pyannote[511].start 3948.49409375
transcript.pyannote[511].end 3950.78909375
transcript.pyannote[512].speaker SPEAKER_09
transcript.pyannote[512].start 3949.84409375
transcript.pyannote[512].end 3950.85659375
transcript.pyannote[513].speaker SPEAKER_19
transcript.pyannote[513].start 3950.85659375
transcript.pyannote[513].end 3951.02534375
transcript.pyannote[514].speaker SPEAKER_09
transcript.pyannote[514].start 3951.49784375
transcript.pyannote[514].end 3956.61096875
transcript.pyannote[515].speaker SPEAKER_19
transcript.pyannote[515].start 3955.07534375
transcript.pyannote[515].end 3955.69971875
transcript.pyannote[516].speaker SPEAKER_19
transcript.pyannote[516].start 3956.07096875
transcript.pyannote[516].end 3961.63971875
transcript.pyannote[517].speaker SPEAKER_09
transcript.pyannote[517].start 3957.85971875
transcript.pyannote[517].end 3959.02409375
transcript.pyannote[518].speaker SPEAKER_09
transcript.pyannote[518].start 3959.96909375
transcript.pyannote[518].end 3960.42471875
transcript.pyannote[519].speaker SPEAKER_19
transcript.pyannote[519].start 3962.12909375
transcript.pyannote[519].end 3974.34659375
transcript.pyannote[520].speaker SPEAKER_19
transcript.pyannote[520].start 3974.85284375
transcript.pyannote[520].end 3975.17346875
transcript.pyannote[521].speaker SPEAKER_19
transcript.pyannote[521].start 3975.67971875
transcript.pyannote[521].end 3975.69659375
transcript.pyannote[522].speaker SPEAKER_09
transcript.pyannote[522].start 3975.69659375
transcript.pyannote[522].end 3977.77221875
transcript.pyannote[523].speaker SPEAKER_19
transcript.pyannote[523].start 3976.55721875
transcript.pyannote[523].end 3977.09721875
transcript.pyannote[524].speaker SPEAKER_09
transcript.pyannote[524].start 3978.21096875
transcript.pyannote[524].end 3991.60971875
transcript.pyannote[525].speaker SPEAKER_09
transcript.pyannote[525].start 3991.99784375
transcript.pyannote[525].end 3993.29721875
transcript.pyannote[526].speaker SPEAKER_09
transcript.pyannote[526].start 3993.75284375
transcript.pyannote[526].end 3994.63034375
transcript.pyannote[527].speaker SPEAKER_19
transcript.pyannote[527].start 3994.84971875
transcript.pyannote[527].end 3994.90034375
transcript.pyannote[528].speaker SPEAKER_09
transcript.pyannote[528].start 3994.90034375
transcript.pyannote[528].end 3995.38971875
transcript.pyannote[529].speaker SPEAKER_11
transcript.pyannote[529].start 3996.63846875
transcript.pyannote[529].end 3999.05159375
transcript.pyannote[530].speaker SPEAKER_11
transcript.pyannote[530].start 3999.47346875
transcript.pyannote[530].end 4002.02159375
transcript.pyannote[531].speaker SPEAKER_14
transcript.pyannote[531].start 4010.39159375
transcript.pyannote[531].end 4014.62721875
transcript.pyannote[532].speaker SPEAKER_14
transcript.pyannote[532].start 4018.52534375
transcript.pyannote[532].end 4020.36471875
transcript.pyannote[533].speaker SPEAKER_14
transcript.pyannote[533].start 4021.24221875
transcript.pyannote[533].end 4025.32596875
transcript.pyannote[534].speaker SPEAKER_14
transcript.pyannote[534].start 4025.89971875
transcript.pyannote[534].end 4037.37471875
transcript.pyannote[535].speaker SPEAKER_14
transcript.pyannote[535].start 4037.84721875
transcript.pyannote[535].end 4044.32721875
transcript.pyannote[536].speaker SPEAKER_14
transcript.pyannote[536].start 4052.88284375
transcript.pyannote[536].end 4053.15284375
transcript.pyannote[537].speaker SPEAKER_14
transcript.pyannote[537].start 4053.59159375
transcript.pyannote[537].end 4055.22846875
transcript.pyannote[538].speaker SPEAKER_14
transcript.pyannote[538].start 4055.80221875
transcript.pyannote[538].end 4065.84284375
transcript.pyannote[539].speaker SPEAKER_14
transcript.pyannote[539].start 4066.21409375
transcript.pyannote[539].end 4068.17159375
transcript.pyannote[540].speaker SPEAKER_14
transcript.pyannote[540].start 4068.61034375
transcript.pyannote[540].end 4069.09971875
transcript.pyannote[541].speaker SPEAKER_14
transcript.pyannote[541].start 4069.28534375
transcript.pyannote[541].end 4071.96846875
transcript.pyannote[542].speaker SPEAKER_14
transcript.pyannote[542].start 4072.20471875
transcript.pyannote[542].end 4079.37659375
transcript.pyannote[543].speaker SPEAKER_14
transcript.pyannote[543].start 4080.70971875
transcript.pyannote[543].end 4084.62471875
transcript.pyannote[544].speaker SPEAKER_14
transcript.pyannote[544].start 4085.02971875
transcript.pyannote[544].end 4085.62034375
transcript.pyannote[545].speaker SPEAKER_14
transcript.pyannote[545].start 4086.37971875
transcript.pyannote[545].end 4087.34159375
transcript.pyannote[546].speaker SPEAKER_14
transcript.pyannote[546].start 4087.59471875
transcript.pyannote[546].end 4087.96596875
transcript.pyannote[547].speaker SPEAKER_14
transcript.pyannote[547].start 4088.16846875
transcript.pyannote[547].end 4093.70346875
transcript.pyannote[548].speaker SPEAKER_06
transcript.pyannote[548].start 4093.77096875
transcript.pyannote[548].end 4093.97346875
transcript.pyannote[549].speaker SPEAKER_14
transcript.pyannote[549].start 4093.97346875
transcript.pyannote[549].end 4094.46284375
transcript.pyannote[550].speaker SPEAKER_06
transcript.pyannote[550].start 4093.99034375
transcript.pyannote[550].end 4094.34471875
transcript.pyannote[551].speaker SPEAKER_06
transcript.pyannote[551].start 4094.46284375
transcript.pyannote[551].end 4094.49659375
transcript.pyannote[552].speaker SPEAKER_06
transcript.pyannote[552].start 4094.85096875
transcript.pyannote[552].end 4094.86784375
transcript.pyannote[553].speaker SPEAKER_14
transcript.pyannote[553].start 4094.86784375
transcript.pyannote[553].end 4099.18784375
transcript.pyannote[554].speaker SPEAKER_14
transcript.pyannote[554].start 4099.37346875
transcript.pyannote[554].end 4100.38596875
transcript.pyannote[555].speaker SPEAKER_14
transcript.pyannote[555].start 4100.47034375
transcript.pyannote[555].end 4114.72971875
transcript.pyannote[556].speaker SPEAKER_00
transcript.pyannote[556].start 4113.12659375
transcript.pyannote[556].end 4113.26159375
transcript.pyannote[557].speaker SPEAKER_14
transcript.pyannote[557].start 4114.76346875
transcript.pyannote[557].end 4120.26471875
transcript.pyannote[558].speaker SPEAKER_14
transcript.pyannote[558].start 4120.68659375
transcript.pyannote[558].end 4124.34846875
transcript.pyannote[559].speaker SPEAKER_14
transcript.pyannote[559].start 4124.90534375
transcript.pyannote[559].end 4133.56221875
transcript.pyannote[560].speaker SPEAKER_14
transcript.pyannote[560].start 4133.81534375
transcript.pyannote[560].end 4143.48471875
transcript.pyannote[561].speaker SPEAKER_14
transcript.pyannote[561].start 4143.65346875
transcript.pyannote[561].end 4149.61034375
transcript.pyannote[562].speaker SPEAKER_14
transcript.pyannote[562].start 4150.01534375
transcript.pyannote[562].end 4151.55096875
transcript.pyannote[563].speaker SPEAKER_14
transcript.pyannote[563].start 4152.04034375
transcript.pyannote[563].end 4152.29346875
transcript.pyannote[564].speaker SPEAKER_14
transcript.pyannote[564].start 4152.64784375
transcript.pyannote[564].end 4154.63909375
transcript.pyannote[565].speaker SPEAKER_14
transcript.pyannote[565].start 4155.06096875
transcript.pyannote[565].end 4161.37221875
transcript.pyannote[566].speaker SPEAKER_14
transcript.pyannote[566].start 4162.13159375
transcript.pyannote[566].end 4163.95409375
transcript.pyannote[567].speaker SPEAKER_14
transcript.pyannote[567].start 4164.24096875
transcript.pyannote[567].end 4171.32846875
transcript.pyannote[568].speaker SPEAKER_14
transcript.pyannote[568].start 4172.02034375
transcript.pyannote[568].end 4178.34846875
transcript.pyannote[569].speaker SPEAKER_14
transcript.pyannote[569].start 4178.50034375
transcript.pyannote[569].end 4189.23284375
transcript.pyannote[570].speaker SPEAKER_14
transcript.pyannote[570].start 4189.57034375
transcript.pyannote[570].end 4194.05909375
transcript.pyannote[571].speaker SPEAKER_14
transcript.pyannote[571].start 4194.48096875
transcript.pyannote[571].end 4196.89409375
transcript.pyannote[572].speaker SPEAKER_05
transcript.pyannote[572].start 4197.41721875
transcript.pyannote[572].end 4197.43409375
transcript.pyannote[573].speaker SPEAKER_14
transcript.pyannote[573].start 4197.43409375
transcript.pyannote[573].end 4197.58596875
transcript.pyannote[574].speaker SPEAKER_05
transcript.pyannote[574].start 4197.58596875
transcript.pyannote[574].end 4197.60284375
transcript.pyannote[575].speaker SPEAKER_09
transcript.pyannote[575].start 4198.39596875
transcript.pyannote[575].end 4207.55909375
transcript.pyannote[576].speaker SPEAKER_09
transcript.pyannote[576].start 4207.96409375
transcript.pyannote[576].end 4220.89034375
transcript.pyannote[577].speaker SPEAKER_14
transcript.pyannote[577].start 4210.19159375
transcript.pyannote[577].end 4212.28409375
transcript.pyannote[578].speaker SPEAKER_09
transcript.pyannote[578].start 4221.56534375
transcript.pyannote[578].end 4225.71659375
transcript.pyannote[579].speaker SPEAKER_09
transcript.pyannote[579].start 4225.80096875
transcript.pyannote[579].end 4226.03721875
transcript.pyannote[580].speaker SPEAKER_14
transcript.pyannote[580].start 4226.03721875
transcript.pyannote[580].end 4226.25659375
transcript.pyannote[581].speaker SPEAKER_09
transcript.pyannote[581].start 4226.72909375
transcript.pyannote[581].end 4226.76284375
transcript.pyannote[582].speaker SPEAKER_14
transcript.pyannote[582].start 4226.76284375
transcript.pyannote[582].end 4248.58221875
transcript.pyannote[583].speaker SPEAKER_00
transcript.pyannote[583].start 4239.46971875
transcript.pyannote[583].end 4239.50346875
transcript.pyannote[584].speaker SPEAKER_15
transcript.pyannote[584].start 4239.50346875
transcript.pyannote[584].end 4239.97596875
transcript.pyannote[585].speaker SPEAKER_00
transcript.pyannote[585].start 4239.97596875
transcript.pyannote[585].end 4240.26284375
transcript.pyannote[586].speaker SPEAKER_09
transcript.pyannote[586].start 4249.18971875
transcript.pyannote[586].end 4261.72784375
transcript.pyannote[587].speaker SPEAKER_10
transcript.pyannote[587].start 4261.25534375
transcript.pyannote[587].end 4261.27221875
transcript.pyannote[588].speaker SPEAKER_14
transcript.pyannote[588].start 4261.27221875
transcript.pyannote[588].end 4261.69409375
transcript.pyannote[589].speaker SPEAKER_14
transcript.pyannote[589].start 4261.72784375
transcript.pyannote[589].end 4261.79534375
transcript.pyannote[590].speaker SPEAKER_09
transcript.pyannote[590].start 4261.79534375
transcript.pyannote[590].end 4261.87971875
transcript.pyannote[591].speaker SPEAKER_14
transcript.pyannote[591].start 4262.01471875
transcript.pyannote[591].end 4277.77596875
transcript.pyannote[592].speaker SPEAKER_14
transcript.pyannote[592].start 4278.07971875
transcript.pyannote[592].end 4278.61971875
transcript.pyannote[593].speaker SPEAKER_14
transcript.pyannote[593].start 4279.44659375
transcript.pyannote[593].end 4284.99846875
transcript.pyannote[594].speaker SPEAKER_14
transcript.pyannote[594].start 4285.26846875
transcript.pyannote[594].end 4297.43534375
transcript.pyannote[595].speaker SPEAKER_14
transcript.pyannote[595].start 4298.04284375
transcript.pyannote[595].end 4310.44596875
transcript.pyannote[596].speaker SPEAKER_14
transcript.pyannote[596].start 4310.98596875
transcript.pyannote[596].end 4315.98096875
transcript.pyannote[597].speaker SPEAKER_05
transcript.pyannote[597].start 4316.84159375
transcript.pyannote[597].end 4317.09471875
transcript.pyannote[598].speaker SPEAKER_14
transcript.pyannote[598].start 4317.53346875
transcript.pyannote[598].end 4327.40534375
transcript.pyannote[599].speaker SPEAKER_05
transcript.pyannote[599].start 4319.13659375
transcript.pyannote[599].end 4319.60909375
transcript.pyannote[600].speaker SPEAKER_05
transcript.pyannote[600].start 4320.28409375
transcript.pyannote[600].end 4320.95909375
transcript.pyannote[601].speaker SPEAKER_05
transcript.pyannote[601].start 4328.16471875
transcript.pyannote[601].end 4328.56971875
transcript.pyannote[602].speaker SPEAKER_09
transcript.pyannote[602].start 4330.03784375
transcript.pyannote[602].end 4337.78346875
transcript.pyannote[603].speaker SPEAKER_14
transcript.pyannote[603].start 4337.78346875
transcript.pyannote[603].end 4337.91846875
transcript.pyannote[604].speaker SPEAKER_09
transcript.pyannote[604].start 4337.91846875
transcript.pyannote[604].end 4338.01971875
transcript.pyannote[605].speaker SPEAKER_14
transcript.pyannote[605].start 4338.01971875
transcript.pyannote[605].end 4339.97721875
transcript.pyannote[606].speaker SPEAKER_14
transcript.pyannote[606].start 4340.44971875
transcript.pyannote[606].end 4348.36409375
transcript.pyannote[607].speaker SPEAKER_14
transcript.pyannote[607].start 4348.71846875
transcript.pyannote[607].end 4351.30034375
transcript.pyannote[608].speaker SPEAKER_09
transcript.pyannote[608].start 4352.81909375
transcript.pyannote[608].end 4356.19409375
transcript.pyannote[609].speaker SPEAKER_09
transcript.pyannote[609].start 4356.51471875
transcript.pyannote[609].end 4357.45971875
transcript.pyannote[610].speaker SPEAKER_09
transcript.pyannote[610].start 4357.51034375
transcript.pyannote[610].end 4369.57596875
transcript.pyannote[611].speaker SPEAKER_14
transcript.pyannote[611].start 4366.52159375
transcript.pyannote[611].end 4375.49909375
transcript.pyannote[612].speaker SPEAKER_14
transcript.pyannote[612].start 4375.92096875
transcript.pyannote[612].end 4379.32971875
transcript.pyannote[613].speaker SPEAKER_14
transcript.pyannote[613].start 4379.59971875
transcript.pyannote[613].end 4379.90346875
transcript.pyannote[614].speaker SPEAKER_14
transcript.pyannote[614].start 4380.24096875
transcript.pyannote[614].end 4385.25284375
transcript.pyannote[615].speaker SPEAKER_14
transcript.pyannote[615].start 4385.45534375
transcript.pyannote[615].end 4390.80471875
transcript.pyannote[616].speaker SPEAKER_14
transcript.pyannote[616].start 4390.90596875
transcript.pyannote[616].end 4391.32784375
transcript.pyannote[617].speaker SPEAKER_14
transcript.pyannote[617].start 4391.74971875
transcript.pyannote[617].end 4414.05846875
transcript.pyannote[618].speaker SPEAKER_09
transcript.pyannote[618].start 4414.05846875
transcript.pyannote[618].end 4414.10909375
transcript.pyannote[619].speaker SPEAKER_14
transcript.pyannote[619].start 4414.10909375
transcript.pyannote[619].end 4414.54784375
transcript.pyannote[620].speaker SPEAKER_09
transcript.pyannote[620].start 4414.54784375
transcript.pyannote[620].end 4414.71659375
transcript.pyannote[621].speaker SPEAKER_14
transcript.pyannote[621].start 4414.71659375
transcript.pyannote[621].end 4414.91909375
transcript.pyannote[622].speaker SPEAKER_09
transcript.pyannote[622].start 4414.91909375
transcript.pyannote[622].end 4420.70721875
transcript.pyannote[623].speaker SPEAKER_14
transcript.pyannote[623].start 4415.05409375
transcript.pyannote[623].end 4415.44221875
transcript.pyannote[624].speaker SPEAKER_09
transcript.pyannote[624].start 4420.96034375
transcript.pyannote[624].end 4424.14971875
transcript.pyannote[625].speaker SPEAKER_09
transcript.pyannote[625].start 4424.48721875
transcript.pyannote[625].end 4436.02971875
transcript.pyannote[626].speaker SPEAKER_05
transcript.pyannote[626].start 4427.55846875
transcript.pyannote[626].end 4427.96346875
transcript.pyannote[627].speaker SPEAKER_10
transcript.pyannote[627].start 4427.96346875
transcript.pyannote[627].end 4428.19971875
transcript.pyannote[628].speaker SPEAKER_00
transcript.pyannote[628].start 4428.19971875
transcript.pyannote[628].end 4428.21659375
transcript.pyannote[629].speaker SPEAKER_14
transcript.pyannote[629].start 4436.02971875
transcript.pyannote[629].end 4445.46284375
transcript.pyannote[630].speaker SPEAKER_14
transcript.pyannote[630].start 4445.64846875
transcript.pyannote[630].end 4446.62721875
transcript.pyannote[631].speaker SPEAKER_14
transcript.pyannote[631].start 4446.96471875
transcript.pyannote[631].end 4471.75409375
transcript.pyannote[632].speaker SPEAKER_14
transcript.pyannote[632].start 4472.09159375
transcript.pyannote[632].end 4472.12534375
transcript.pyannote[633].speaker SPEAKER_14
transcript.pyannote[633].start 4472.15909375
transcript.pyannote[633].end 4472.17596875
transcript.pyannote[634].speaker SPEAKER_14
transcript.pyannote[634].start 4472.42909375
transcript.pyannote[634].end 4493.10096875
transcript.pyannote[635].speaker SPEAKER_08
transcript.pyannote[635].start 4484.07284375
transcript.pyannote[635].end 4484.89971875
transcript.pyannote[636].speaker SPEAKER_09
transcript.pyannote[636].start 4484.89971875
transcript.pyannote[636].end 4485.15284375
transcript.pyannote[637].speaker SPEAKER_00
transcript.pyannote[637].start 4485.15284375
transcript.pyannote[637].end 4485.40596875
transcript.pyannote[638].speaker SPEAKER_14
transcript.pyannote[638].start 4493.26971875
transcript.pyannote[638].end 4504.79534375
transcript.pyannote[639].speaker SPEAKER_09
transcript.pyannote[639].start 4504.79534375
transcript.pyannote[639].end 4505.80784375
transcript.pyannote[640].speaker SPEAKER_09
transcript.pyannote[640].start 4506.16221875
transcript.pyannote[640].end 4507.57971875
transcript.pyannote[641].speaker SPEAKER_09
transcript.pyannote[641].start 4508.30534375
transcript.pyannote[641].end 4510.71846875
transcript.pyannote[642].speaker SPEAKER_09
transcript.pyannote[642].start 4511.05596875
transcript.pyannote[642].end 4515.66284375
transcript.pyannote[643].speaker SPEAKER_09
transcript.pyannote[643].start 4515.67971875
transcript.pyannote[643].end 4517.89034375
transcript.pyannote[644].speaker SPEAKER_09
transcript.pyannote[644].start 4518.05909375
transcript.pyannote[644].end 4527.96471875
transcript.pyannote[645].speaker SPEAKER_14
transcript.pyannote[645].start 4527.18846875
transcript.pyannote[645].end 4527.93096875
transcript.pyannote[646].speaker SPEAKER_14
transcript.pyannote[646].start 4527.96471875
transcript.pyannote[646].end 4533.41534375
transcript.pyannote[647].speaker SPEAKER_09
transcript.pyannote[647].start 4532.57159375
transcript.pyannote[647].end 4548.24846875
transcript.pyannote[648].speaker SPEAKER_14
transcript.pyannote[648].start 4535.91284375
transcript.pyannote[648].end 4536.68909375
transcript.pyannote[649].speaker SPEAKER_14
transcript.pyannote[649].start 4544.92409375
transcript.pyannote[649].end 4545.73409375
transcript.pyannote[650].speaker SPEAKER_14
transcript.pyannote[650].start 4547.03346875
transcript.pyannote[650].end 4548.33284375
transcript.pyannote[651].speaker SPEAKER_14
transcript.pyannote[651].start 4548.55221875
transcript.pyannote[651].end 4549.91909375
transcript.pyannote[652].speaker SPEAKER_09
transcript.pyannote[652].start 4549.41284375
transcript.pyannote[652].end 4549.75034375
transcript.pyannote[653].speaker SPEAKER_14
transcript.pyannote[653].start 4550.29034375
transcript.pyannote[653].end 4557.31034375
transcript.pyannote[654].speaker SPEAKER_09
transcript.pyannote[654].start 4552.97346875
transcript.pyannote[654].end 4553.10846875
transcript.pyannote[655].speaker SPEAKER_14
transcript.pyannote[655].start 4557.64784375
transcript.pyannote[655].end 4561.37721875
transcript.pyannote[656].speaker SPEAKER_09
transcript.pyannote[656].start 4561.05659375
transcript.pyannote[656].end 4561.19159375
transcript.pyannote[657].speaker SPEAKER_09
transcript.pyannote[657].start 4562.01846875
transcript.pyannote[657].end 4581.39096875
transcript.pyannote[658].speaker SPEAKER_14
transcript.pyannote[658].start 4577.27346875
transcript.pyannote[658].end 4580.19284375
transcript.pyannote[659].speaker SPEAKER_14
transcript.pyannote[659].start 4580.56409375
transcript.pyannote[659].end 4583.39909375
transcript.pyannote[660].speaker SPEAKER_09
transcript.pyannote[660].start 4582.06596875
transcript.pyannote[660].end 4594.97534375
transcript.pyannote[661].speaker SPEAKER_14
transcript.pyannote[661].start 4594.97534375
transcript.pyannote[661].end 4601.75909375
transcript.pyannote[662].speaker SPEAKER_14
transcript.pyannote[662].start 4601.82659375
transcript.pyannote[662].end 4605.38721875
transcript.pyannote[663].speaker SPEAKER_09
transcript.pyannote[663].start 4604.45909375
transcript.pyannote[663].end 4605.33659375
transcript.pyannote[664].speaker SPEAKER_09
transcript.pyannote[664].start 4605.38721875
transcript.pyannote[664].end 4607.46284375
transcript.pyannote[665].speaker SPEAKER_14
transcript.pyannote[665].start 4608.59346875
transcript.pyannote[665].end 4608.61034375
transcript.pyannote[666].speaker SPEAKER_11
transcript.pyannote[666].start 4608.61034375
transcript.pyannote[666].end 4611.02346875
transcript.pyannote[667].speaker SPEAKER_11
transcript.pyannote[667].start 4611.73221875
transcript.pyannote[667].end 4614.51659375
transcript.pyannote[668].speaker SPEAKER_27
transcript.pyannote[668].start 4623.32534375
transcript.pyannote[668].end 4625.50221875
transcript.pyannote[669].speaker SPEAKER_11
transcript.pyannote[669].start 4626.32909375
transcript.pyannote[669].end 4627.25721875
transcript.pyannote[670].speaker SPEAKER_27
transcript.pyannote[670].start 4626.56534375
transcript.pyannote[670].end 4627.08846875
transcript.pyannote[671].speaker SPEAKER_27
transcript.pyannote[671].start 4631.29034375
transcript.pyannote[671].end 4631.91471875
transcript.pyannote[672].speaker SPEAKER_27
transcript.pyannote[672].start 4631.94846875
transcript.pyannote[672].end 4633.11284375
transcript.pyannote[673].speaker SPEAKER_27
transcript.pyannote[673].start 4633.60221875
transcript.pyannote[673].end 4635.17159375
transcript.pyannote[674].speaker SPEAKER_27
transcript.pyannote[674].start 4635.37409375
transcript.pyannote[674].end 4636.53846875
transcript.pyannote[675].speaker SPEAKER_27
transcript.pyannote[675].start 4637.11221875
transcript.pyannote[675].end 4640.30159375
transcript.pyannote[676].speaker SPEAKER_27
transcript.pyannote[676].start 4640.90909375
transcript.pyannote[676].end 4641.63471875
transcript.pyannote[677].speaker SPEAKER_27
transcript.pyannote[677].start 4642.39409375
transcript.pyannote[677].end 4643.82846875
transcript.pyannote[678].speaker SPEAKER_27
transcript.pyannote[678].start 4645.26284375
transcript.pyannote[678].end 4646.73096875
transcript.pyannote[679].speaker SPEAKER_09
transcript.pyannote[679].start 4648.94159375
transcript.pyannote[679].end 4659.57284375
transcript.pyannote[680].speaker SPEAKER_27
transcript.pyannote[680].start 4658.76284375
transcript.pyannote[680].end 4659.43784375
transcript.pyannote[681].speaker SPEAKER_27
transcript.pyannote[681].start 4659.57284375
transcript.pyannote[681].end 4668.06096875
transcript.pyannote[682].speaker SPEAKER_27
transcript.pyannote[682].start 4668.65159375
transcript.pyannote[682].end 4669.20846875
transcript.pyannote[683].speaker SPEAKER_09
transcript.pyannote[683].start 4671.70596875
transcript.pyannote[683].end 4674.30471875
transcript.pyannote[684].speaker SPEAKER_27
transcript.pyannote[684].start 4673.84909375
transcript.pyannote[684].end 4674.38909375
transcript.pyannote[685].speaker SPEAKER_27
transcript.pyannote[685].start 4674.94596875
transcript.pyannote[685].end 4675.24971875
transcript.pyannote[686].speaker SPEAKER_09
transcript.pyannote[686].start 4676.09346875
transcript.pyannote[686].end 4676.46471875
transcript.pyannote[687].speaker SPEAKER_27
transcript.pyannote[687].start 4676.22846875
transcript.pyannote[687].end 4676.58284375
transcript.pyannote[688].speaker SPEAKER_09
transcript.pyannote[688].start 4676.49846875
transcript.pyannote[688].end 4678.75971875
transcript.pyannote[689].speaker SPEAKER_27
transcript.pyannote[689].start 4678.37159375
transcript.pyannote[689].end 4678.60784375
transcript.pyannote[690].speaker SPEAKER_09
transcript.pyannote[690].start 4679.08034375
transcript.pyannote[690].end 4680.78471875
transcript.pyannote[691].speaker SPEAKER_09
transcript.pyannote[691].start 4681.81409375
transcript.pyannote[691].end 4684.56471875
transcript.pyannote[692].speaker SPEAKER_27
transcript.pyannote[692].start 4684.66596875
transcript.pyannote[692].end 4685.91471875
transcript.pyannote[693].speaker SPEAKER_09
transcript.pyannote[693].start 4686.30284375
transcript.pyannote[693].end 4688.04096875
transcript.pyannote[694].speaker SPEAKER_27
transcript.pyannote[694].start 4687.04534375
transcript.pyannote[694].end 4687.60221875
transcript.pyannote[695].speaker SPEAKER_27
transcript.pyannote[695].start 4688.74971875
transcript.pyannote[695].end 4694.80784375
transcript.pyannote[696].speaker SPEAKER_27
transcript.pyannote[696].start 4695.19596875
transcript.pyannote[696].end 4696.47846875
transcript.pyannote[697].speaker SPEAKER_09
transcript.pyannote[697].start 4697.10284375
transcript.pyannote[697].end 4699.24596875
transcript.pyannote[698].speaker SPEAKER_27
transcript.pyannote[698].start 4698.65534375
transcript.pyannote[698].end 4702.60409375
transcript.pyannote[699].speaker SPEAKER_09
transcript.pyannote[699].start 4701.10221875
transcript.pyannote[699].end 4701.86159375
transcript.pyannote[700].speaker SPEAKER_09
transcript.pyannote[700].start 4702.21596875
transcript.pyannote[700].end 4702.73909375
transcript.pyannote[701].speaker SPEAKER_09
transcript.pyannote[701].start 4703.09346875
transcript.pyannote[701].end 4711.32846875
transcript.pyannote[702].speaker SPEAKER_09
transcript.pyannote[702].start 4711.69971875
transcript.pyannote[702].end 4712.07096875
transcript.pyannote[703].speaker SPEAKER_09
transcript.pyannote[703].start 4712.47596875
transcript.pyannote[703].end 4721.90909375
transcript.pyannote[704].speaker SPEAKER_09
transcript.pyannote[704].start 4721.92596875
transcript.pyannote[704].end 4721.94284375
transcript.pyannote[705].speaker SPEAKER_27
transcript.pyannote[705].start 4721.94284375
transcript.pyannote[705].end 4722.26346875
transcript.pyannote[706].speaker SPEAKER_27
transcript.pyannote[706].start 4722.90471875
transcript.pyannote[706].end 4731.64596875
transcript.pyannote[707].speaker SPEAKER_27
transcript.pyannote[707].start 4733.41784375
transcript.pyannote[707].end 4735.25721875
transcript.pyannote[708].speaker SPEAKER_09
transcript.pyannote[708].start 4739.62784375
transcript.pyannote[708].end 4739.71221875
transcript.pyannote[709].speaker SPEAKER_09
transcript.pyannote[709].start 4739.74596875
transcript.pyannote[709].end 4741.04534375
transcript.pyannote[710].speaker SPEAKER_27
transcript.pyannote[710].start 4741.11284375
transcript.pyannote[710].end 4742.71596875
transcript.pyannote[711].speaker SPEAKER_09
transcript.pyannote[711].start 4743.03659375
transcript.pyannote[711].end 4743.64409375
transcript.pyannote[712].speaker SPEAKER_27
transcript.pyannote[712].start 4743.59346875
transcript.pyannote[712].end 4744.79159375
transcript.pyannote[713].speaker SPEAKER_09
transcript.pyannote[713].start 4746.29346875
transcript.pyannote[713].end 4747.77846875
transcript.pyannote[714].speaker SPEAKER_27
transcript.pyannote[714].start 4747.47471875
transcript.pyannote[714].end 4751.32221875
transcript.pyannote[715].speaker SPEAKER_09
transcript.pyannote[715].start 4751.25471875
transcript.pyannote[715].end 4751.59221875
transcript.pyannote[716].speaker SPEAKER_05
transcript.pyannote[716].start 4751.59221875
transcript.pyannote[716].end 4751.60909375
transcript.pyannote[717].speaker SPEAKER_27
transcript.pyannote[717].start 4751.59221875
transcript.pyannote[717].end 4762.51034375
transcript.pyannote[718].speaker SPEAKER_05
transcript.pyannote[718].start 4751.62596875
transcript.pyannote[718].end 4751.64284375
transcript.pyannote[719].speaker SPEAKER_05
transcript.pyannote[719].start 4754.54534375
transcript.pyannote[719].end 4754.78159375
transcript.pyannote[720].speaker SPEAKER_05
transcript.pyannote[720].start 4762.49346875
transcript.pyannote[720].end 4762.86471875
transcript.pyannote[721].speaker SPEAKER_27
transcript.pyannote[721].start 4762.66221875
transcript.pyannote[721].end 4765.26096875
transcript.pyannote[722].speaker SPEAKER_27
transcript.pyannote[722].start 4765.58159375
transcript.pyannote[722].end 4769.37846875
transcript.pyannote[723].speaker SPEAKER_27
transcript.pyannote[723].start 4769.73284375
transcript.pyannote[723].end 4781.73096875
transcript.pyannote[724].speaker SPEAKER_27
transcript.pyannote[724].start 4782.03471875
transcript.pyannote[724].end 4783.31721875
transcript.pyannote[725].speaker SPEAKER_10
transcript.pyannote[725].start 4783.18221875
transcript.pyannote[725].end 4783.89096875
transcript.pyannote[726].speaker SPEAKER_27
transcript.pyannote[726].start 4784.78534375
transcript.pyannote[726].end 4787.90721875
transcript.pyannote[727].speaker SPEAKER_09
transcript.pyannote[727].start 4789.72971875
transcript.pyannote[727].end 4801.05284375
transcript.pyannote[728].speaker SPEAKER_09
transcript.pyannote[728].start 4801.60971875
transcript.pyannote[728].end 4803.11159375
transcript.pyannote[729].speaker SPEAKER_27
transcript.pyannote[729].start 4803.34784375
transcript.pyannote[729].end 4806.68909375
transcript.pyannote[730].speaker SPEAKER_27
transcript.pyannote[730].start 4807.22909375
transcript.pyannote[730].end 4810.58721875
transcript.pyannote[731].speaker SPEAKER_27
transcript.pyannote[731].start 4811.19471875
transcript.pyannote[731].end 4815.73409375
transcript.pyannote[732].speaker SPEAKER_27
transcript.pyannote[732].start 4816.52721875
transcript.pyannote[732].end 4818.99096875
transcript.pyannote[733].speaker SPEAKER_27
transcript.pyannote[733].start 4820.47596875
transcript.pyannote[733].end 4821.79221875
transcript.pyannote[734].speaker SPEAKER_09
transcript.pyannote[734].start 4820.81346875
transcript.pyannote[734].end 4829.53784375
transcript.pyannote[735].speaker SPEAKER_23
transcript.pyannote[735].start 4829.53784375
transcript.pyannote[735].end 4829.62221875
transcript.pyannote[736].speaker SPEAKER_23
transcript.pyannote[736].start 4829.80784375
transcript.pyannote[736].end 4831.51221875
transcript.pyannote[737].speaker SPEAKER_09
transcript.pyannote[737].start 4831.63034375
transcript.pyannote[737].end 4833.90846875
transcript.pyannote[738].speaker SPEAKER_23
transcript.pyannote[738].start 4833.90846875
transcript.pyannote[738].end 4836.40596875
transcript.pyannote[739].speaker SPEAKER_23
transcript.pyannote[739].start 4836.74346875
transcript.pyannote[739].end 4852.42034375
transcript.pyannote[740].speaker SPEAKER_23
transcript.pyannote[740].start 4852.55534375
transcript.pyannote[740].end 4859.59221875
transcript.pyannote[741].speaker SPEAKER_23
transcript.pyannote[741].start 4860.75659375
transcript.pyannote[741].end 4861.97159375
transcript.pyannote[742].speaker SPEAKER_27
transcript.pyannote[742].start 4861.97159375
transcript.pyannote[742].end 4865.07659375
transcript.pyannote[743].speaker SPEAKER_27
transcript.pyannote[743].start 4865.44784375
transcript.pyannote[743].end 4869.02534375
transcript.pyannote[744].speaker SPEAKER_27
transcript.pyannote[744].start 4869.32909375
transcript.pyannote[744].end 4874.81346875
transcript.pyannote[745].speaker SPEAKER_23
transcript.pyannote[745].start 4876.73721875
transcript.pyannote[745].end 4878.25596875
transcript.pyannote[746].speaker SPEAKER_09
transcript.pyannote[746].start 4878.61034375
transcript.pyannote[746].end 4888.73534375
transcript.pyannote[747].speaker SPEAKER_09
transcript.pyannote[747].start 4889.08971875
transcript.pyannote[747].end 4890.50721875
transcript.pyannote[748].speaker SPEAKER_27
transcript.pyannote[748].start 4890.08534375
transcript.pyannote[748].end 4891.75596875
transcript.pyannote[749].speaker SPEAKER_09
transcript.pyannote[749].start 4891.06409375
transcript.pyannote[749].end 4892.32971875
transcript.pyannote[750].speaker SPEAKER_09
transcript.pyannote[750].start 4893.17346875
transcript.pyannote[750].end 4905.07034375
transcript.pyannote[751].speaker SPEAKER_09
transcript.pyannote[751].start 4905.17159375
transcript.pyannote[751].end 4908.85034375
transcript.pyannote[752].speaker SPEAKER_27
transcript.pyannote[752].start 4906.30221875
transcript.pyannote[752].end 4912.20846875
transcript.pyannote[753].speaker SPEAKER_27
transcript.pyannote[753].start 4912.59659375
transcript.pyannote[753].end 4916.95034375
transcript.pyannote[754].speaker SPEAKER_05
transcript.pyannote[754].start 4916.95034375
transcript.pyannote[754].end 4917.23721875
transcript.pyannote[755].speaker SPEAKER_27
transcript.pyannote[755].start 4917.15284375
transcript.pyannote[755].end 4918.23284375
transcript.pyannote[756].speaker SPEAKER_27
transcript.pyannote[756].start 4918.31721875
transcript.pyannote[756].end 4920.71346875
transcript.pyannote[757].speaker SPEAKER_27
transcript.pyannote[757].start 4921.60784375
transcript.pyannote[757].end 4924.69596875
transcript.pyannote[758].speaker SPEAKER_27
transcript.pyannote[758].start 4925.65784375
transcript.pyannote[758].end 4927.58159375
transcript.pyannote[759].speaker SPEAKER_09
transcript.pyannote[759].start 4927.66596875
transcript.pyannote[759].end 4928.13846875
transcript.pyannote[760].speaker SPEAKER_09
transcript.pyannote[760].start 4928.67846875
transcript.pyannote[760].end 4929.94409375
transcript.pyannote[761].speaker SPEAKER_09
transcript.pyannote[761].start 4930.31534375
transcript.pyannote[761].end 4930.73721875
transcript.pyannote[762].speaker SPEAKER_09
transcript.pyannote[762].start 4930.95659375
transcript.pyannote[762].end 4941.95909375
transcript.pyannote[763].speaker SPEAKER_27
transcript.pyannote[763].start 4941.79034375
transcript.pyannote[763].end 4955.98221875
transcript.pyannote[764].speaker SPEAKER_27
transcript.pyannote[764].start 4956.38721875
transcript.pyannote[764].end 4957.01159375
transcript.pyannote[765].speaker SPEAKER_27
transcript.pyannote[765].start 4958.17596875
transcript.pyannote[765].end 4963.72784375
transcript.pyannote[766].speaker SPEAKER_10
transcript.pyannote[766].start 4962.85034375
transcript.pyannote[766].end 4963.52534375
transcript.pyannote[767].speaker SPEAKER_27
transcript.pyannote[767].start 4963.82909375
transcript.pyannote[767].end 4965.43221875
transcript.pyannote[768].speaker SPEAKER_10
transcript.pyannote[768].start 4965.12846875
transcript.pyannote[768].end 4965.80346875
transcript.pyannote[769].speaker SPEAKER_27
transcript.pyannote[769].start 4966.29284375
transcript.pyannote[769].end 4968.26721875
transcript.pyannote[770].speaker SPEAKER_27
transcript.pyannote[770].start 4968.82409375
transcript.pyannote[770].end 4976.80596875
transcript.pyannote[771].speaker SPEAKER_27
transcript.pyannote[771].start 4977.49784375
transcript.pyannote[771].end 4987.28534375
transcript.pyannote[772].speaker SPEAKER_27
transcript.pyannote[772].start 4988.11221875
transcript.pyannote[772].end 4993.47846875
transcript.pyannote[773].speaker SPEAKER_27
transcript.pyannote[773].start 4994.22096875
transcript.pyannote[773].end 4998.65909375
transcript.pyannote[774].speaker SPEAKER_27
transcript.pyannote[774].start 4999.31721875
transcript.pyannote[774].end 5001.29159375
transcript.pyannote[775].speaker SPEAKER_27
transcript.pyannote[775].start 5001.81471875
transcript.pyannote[775].end 5002.45596875
transcript.pyannote[776].speaker SPEAKER_27
transcript.pyannote[776].start 5002.72596875
transcript.pyannote[776].end 5004.39659375
transcript.pyannote[777].speaker SPEAKER_09
transcript.pyannote[777].start 5005.02096875
transcript.pyannote[777].end 5008.02471875
transcript.pyannote[778].speaker SPEAKER_09
transcript.pyannote[778].start 5008.95284375
transcript.pyannote[778].end 5012.34471875
transcript.pyannote[779].speaker SPEAKER_09
transcript.pyannote[779].start 5012.66534375
transcript.pyannote[779].end 5015.58471875
transcript.pyannote[780].speaker SPEAKER_27
transcript.pyannote[780].start 5013.89721875
transcript.pyannote[780].end 5016.24284375
transcript.pyannote[781].speaker SPEAKER_27
transcript.pyannote[781].start 5016.31034375
transcript.pyannote[781].end 5021.60909375
transcript.pyannote[782].speaker SPEAKER_09
transcript.pyannote[782].start 5016.46221875
transcript.pyannote[782].end 5017.20471875
transcript.pyannote[783].speaker SPEAKER_09
transcript.pyannote[783].start 5018.89221875
transcript.pyannote[783].end 5019.97221875
transcript.pyannote[784].speaker SPEAKER_05
transcript.pyannote[784].start 5019.97221875
transcript.pyannote[784].end 5020.02284375
transcript.pyannote[785].speaker SPEAKER_09
transcript.pyannote[785].start 5020.02284375
transcript.pyannote[785].end 5020.96784375
transcript.pyannote[786].speaker SPEAKER_05
transcript.pyannote[786].start 5020.96784375
transcript.pyannote[786].end 5021.08596875
transcript.pyannote[787].speaker SPEAKER_05
transcript.pyannote[787].start 5021.94659375
transcript.pyannote[787].end 5022.14909375
transcript.pyannote[788].speaker SPEAKER_27
transcript.pyannote[788].start 5022.26721875
transcript.pyannote[788].end 5027.00909375
transcript.pyannote[789].speaker SPEAKER_05
transcript.pyannote[789].start 5023.56659375
transcript.pyannote[789].end 5023.60034375
transcript.pyannote[790].speaker SPEAKER_09
transcript.pyannote[790].start 5023.60034375
transcript.pyannote[790].end 5024.30909375
transcript.pyannote[791].speaker SPEAKER_10
transcript.pyannote[791].start 5024.91659375
transcript.pyannote[791].end 5024.95034375
transcript.pyannote[792].speaker SPEAKER_09
transcript.pyannote[792].start 5024.95034375
transcript.pyannote[792].end 5025.20346875
transcript.pyannote[793].speaker SPEAKER_09
transcript.pyannote[793].start 5025.25409375
transcript.pyannote[793].end 5025.92909375
transcript.pyannote[794].speaker SPEAKER_09
transcript.pyannote[794].start 5027.00909375
transcript.pyannote[794].end 5027.29596875
transcript.pyannote[795].speaker SPEAKER_09
transcript.pyannote[795].start 5027.68409375
transcript.pyannote[795].end 5034.46784375
transcript.pyannote[796].speaker SPEAKER_09
transcript.pyannote[796].start 5035.02471875
transcript.pyannote[796].end 5039.71596875
transcript.pyannote[797].speaker SPEAKER_08
transcript.pyannote[797].start 5037.42096875
transcript.pyannote[797].end 5037.43784375
transcript.pyannote[798].speaker SPEAKER_27
transcript.pyannote[798].start 5037.43784375
transcript.pyannote[798].end 5044.35659375
transcript.pyannote[799].speaker SPEAKER_09
transcript.pyannote[799].start 5042.14596875
transcript.pyannote[799].end 5043.22596875
transcript.pyannote[800].speaker SPEAKER_27
transcript.pyannote[800].start 5044.67721875
transcript.pyannote[800].end 5047.24221875
transcript.pyannote[801].speaker SPEAKER_09
transcript.pyannote[801].start 5047.51221875
transcript.pyannote[801].end 5052.60846875
transcript.pyannote[802].speaker SPEAKER_27
transcript.pyannote[802].start 5051.71409375
transcript.pyannote[802].end 5052.59159375
transcript.pyannote[803].speaker SPEAKER_27
transcript.pyannote[803].start 5052.60846875
transcript.pyannote[803].end 5052.62534375
transcript.pyannote[804].speaker SPEAKER_09
transcript.pyannote[804].start 5052.62534375
transcript.pyannote[804].end 5052.64221875
transcript.pyannote[805].speaker SPEAKER_27
transcript.pyannote[805].start 5053.33409375
transcript.pyannote[805].end 5055.03846875
transcript.pyannote[806].speaker SPEAKER_09
transcript.pyannote[806].start 5055.03846875
transcript.pyannote[806].end 5056.97909375
transcript.pyannote[807].speaker SPEAKER_27
transcript.pyannote[807].start 5056.03409375
transcript.pyannote[807].end 5057.11409375
transcript.pyannote[808].speaker SPEAKER_09
transcript.pyannote[808].start 5057.43471875
transcript.pyannote[808].end 5057.73846875
transcript.pyannote[809].speaker SPEAKER_09
transcript.pyannote[809].start 5058.24471875
transcript.pyannote[809].end 5061.70409375
transcript.pyannote[810].speaker SPEAKER_27
transcript.pyannote[810].start 5058.95346875
transcript.pyannote[810].end 5059.52721875
transcript.pyannote[811].speaker SPEAKER_27
transcript.pyannote[811].start 5061.70409375
transcript.pyannote[811].end 5062.05846875
transcript.pyannote[812].speaker SPEAKER_09
transcript.pyannote[812].start 5062.05846875
transcript.pyannote[812].end 5064.10034375
transcript.pyannote[813].speaker SPEAKER_27
transcript.pyannote[813].start 5062.49721875
transcript.pyannote[813].end 5067.40784375
transcript.pyannote[814].speaker SPEAKER_09
transcript.pyannote[814].start 5064.99471875
transcript.pyannote[814].end 5069.11221875
transcript.pyannote[815].speaker SPEAKER_27
transcript.pyannote[815].start 5069.39909375
transcript.pyannote[815].end 5069.66909375
transcript.pyannote[816].speaker SPEAKER_09
transcript.pyannote[816].start 5069.66909375
transcript.pyannote[816].end 5070.34409375
transcript.pyannote[817].speaker SPEAKER_27
transcript.pyannote[817].start 5070.34409375
transcript.pyannote[817].end 5078.32596875
transcript.pyannote[818].speaker SPEAKER_09
transcript.pyannote[818].start 5070.39471875
transcript.pyannote[818].end 5070.54659375
transcript.pyannote[819].speaker SPEAKER_09
transcript.pyannote[819].start 5073.61784375
transcript.pyannote[819].end 5075.45721875
transcript.pyannote[820].speaker SPEAKER_09
transcript.pyannote[820].start 5078.81534375
transcript.pyannote[820].end 5082.78096875
transcript.pyannote[821].speaker SPEAKER_27
transcript.pyannote[821].start 5081.34659375
transcript.pyannote[821].end 5090.66159375
transcript.pyannote[822].speaker SPEAKER_09
transcript.pyannote[822].start 5086.10534375
transcript.pyannote[822].end 5086.57784375
transcript.pyannote[823].speaker SPEAKER_09
transcript.pyannote[823].start 5089.41284375
transcript.pyannote[823].end 5095.99409375
transcript.pyannote[824].speaker SPEAKER_09
transcript.pyannote[824].start 5096.56784375
transcript.pyannote[824].end 5098.44096875
transcript.pyannote[825].speaker SPEAKER_09
transcript.pyannote[825].start 5098.74471875
transcript.pyannote[825].end 5107.30034375
transcript.pyannote[826].speaker SPEAKER_27
transcript.pyannote[826].start 5107.51971875
transcript.pyannote[826].end 5108.02596875
transcript.pyannote[827].speaker SPEAKER_27
transcript.pyannote[827].start 5108.41409375
transcript.pyannote[827].end 5115.92346875
transcript.pyannote[828].speaker SPEAKER_09
transcript.pyannote[828].start 5116.66596875
transcript.pyannote[828].end 5119.85534375
transcript.pyannote[829].speaker SPEAKER_27
transcript.pyannote[829].start 5120.83409375
transcript.pyannote[829].end 5123.17971875
transcript.pyannote[830].speaker SPEAKER_09
transcript.pyannote[830].start 5123.56784375
transcript.pyannote[830].end 5124.93471875
transcript.pyannote[831].speaker SPEAKER_09
transcript.pyannote[831].start 5125.50846875
transcript.pyannote[831].end 5127.06096875
transcript.pyannote[832].speaker SPEAKER_27
transcript.pyannote[832].start 5127.06096875
transcript.pyannote[832].end 5135.85284375
transcript.pyannote[833].speaker SPEAKER_09
transcript.pyannote[833].start 5135.51534375
transcript.pyannote[833].end 5138.02971875
transcript.pyannote[834].speaker SPEAKER_09
transcript.pyannote[834].start 5138.56971875
transcript.pyannote[834].end 5142.19784375
transcript.pyannote[835].speaker SPEAKER_09
transcript.pyannote[835].start 5143.10909375
transcript.pyannote[835].end 5152.69409375
transcript.pyannote[836].speaker SPEAKER_27
transcript.pyannote[836].start 5154.06096875
transcript.pyannote[836].end 5170.56471875
transcript.pyannote[837].speaker SPEAKER_11
transcript.pyannote[837].start 5170.41284375
transcript.pyannote[837].end 5170.58159375
transcript.pyannote[838].speaker SPEAKER_27
transcript.pyannote[838].start 5170.58159375
transcript.pyannote[838].end 5171.56034375
transcript.pyannote[839].speaker SPEAKER_11
transcript.pyannote[839].start 5170.64909375
transcript.pyannote[839].end 5170.69971875
transcript.pyannote[840].speaker SPEAKER_10
transcript.pyannote[840].start 5170.69971875
transcript.pyannote[840].end 5170.73346875
transcript.pyannote[841].speaker SPEAKER_11
transcript.pyannote[841].start 5171.40846875
transcript.pyannote[841].end 5171.47596875
transcript.pyannote[842].speaker SPEAKER_10
transcript.pyannote[842].start 5171.56034375
transcript.pyannote[842].end 5171.57721875
transcript.pyannote[843].speaker SPEAKER_11
transcript.pyannote[843].start 5171.57721875
transcript.pyannote[843].end 5172.03284375
transcript.pyannote[844].speaker SPEAKER_11
transcript.pyannote[844].start 5172.94409375
transcript.pyannote[844].end 5175.25596875
transcript.pyannote[845].speaker SPEAKER_10
transcript.pyannote[845].start 5173.33221875
transcript.pyannote[845].end 5173.75409375
transcript.pyannote[846].speaker SPEAKER_11
transcript.pyannote[846].start 5175.67784375
transcript.pyannote[846].end 5178.04034375
transcript.pyannote[847].speaker SPEAKER_26
transcript.pyannote[847].start 5189.29596875
transcript.pyannote[847].end 5190.94971875
transcript.pyannote[848].speaker SPEAKER_11
transcript.pyannote[848].start 5191.13534375
transcript.pyannote[848].end 5191.92846875
transcript.pyannote[849].speaker SPEAKER_26
transcript.pyannote[849].start 5195.05034375
transcript.pyannote[849].end 5196.82221875
transcript.pyannote[850].speaker SPEAKER_26
transcript.pyannote[850].start 5197.04159375
transcript.pyannote[850].end 5204.07846875
transcript.pyannote[851].speaker SPEAKER_10
transcript.pyannote[851].start 5204.65221875
transcript.pyannote[851].end 5205.17534375
transcript.pyannote[852].speaker SPEAKER_10
transcript.pyannote[852].start 5205.68159375
transcript.pyannote[852].end 5206.28909375
transcript.pyannote[853].speaker SPEAKER_26
transcript.pyannote[853].start 5206.72784375
transcript.pyannote[853].end 5207.23409375
transcript.pyannote[854].speaker SPEAKER_10
transcript.pyannote[854].start 5207.23409375
transcript.pyannote[854].end 5207.79096875
transcript.pyannote[855].speaker SPEAKER_26
transcript.pyannote[855].start 5207.55471875
transcript.pyannote[855].end 5212.60034375
transcript.pyannote[856].speaker SPEAKER_26
transcript.pyannote[856].start 5213.17409375
transcript.pyannote[856].end 5214.94596875
transcript.pyannote[857].speaker SPEAKER_26
transcript.pyannote[857].start 5215.21596875
transcript.pyannote[857].end 5217.56159375
transcript.pyannote[858].speaker SPEAKER_26
transcript.pyannote[858].start 5217.89909375
transcript.pyannote[858].end 5221.51034375
transcript.pyannote[859].speaker SPEAKER_09
transcript.pyannote[859].start 5221.51034375
transcript.pyannote[859].end 5223.07971875
transcript.pyannote[860].speaker SPEAKER_09
transcript.pyannote[860].start 5223.82221875
transcript.pyannote[860].end 5225.81346875
transcript.pyannote[861].speaker SPEAKER_09
transcript.pyannote[861].start 5226.04971875
transcript.pyannote[861].end 5227.12971875
transcript.pyannote[862].speaker SPEAKER_09
transcript.pyannote[862].start 5227.78784375
transcript.pyannote[862].end 5230.97721875
transcript.pyannote[863].speaker SPEAKER_09
transcript.pyannote[863].start 5231.24721875
transcript.pyannote[863].end 5232.61409375
transcript.pyannote[864].speaker SPEAKER_09
transcript.pyannote[864].start 5233.23846875
transcript.pyannote[864].end 5236.51221875
transcript.pyannote[865].speaker SPEAKER_09
transcript.pyannote[865].start 5236.93409375
transcript.pyannote[865].end 5238.62159375
transcript.pyannote[866].speaker SPEAKER_09
transcript.pyannote[866].start 5238.90846875
transcript.pyannote[866].end 5243.48159375
transcript.pyannote[867].speaker SPEAKER_26
transcript.pyannote[867].start 5243.56596875
transcript.pyannote[867].end 5250.70409375
transcript.pyannote[868].speaker SPEAKER_09
transcript.pyannote[868].start 5249.69159375
transcript.pyannote[868].end 5254.18034375
transcript.pyannote[869].speaker SPEAKER_09
transcript.pyannote[869].start 5254.45034375
transcript.pyannote[869].end 5258.23034375
transcript.pyannote[870].speaker SPEAKER_09
transcript.pyannote[870].start 5258.65221875
transcript.pyannote[870].end 5259.00659375
transcript.pyannote[871].speaker SPEAKER_09
transcript.pyannote[871].start 5259.41159375
transcript.pyannote[871].end 5261.33534375
transcript.pyannote[872].speaker SPEAKER_09
transcript.pyannote[872].start 5261.65596875
transcript.pyannote[872].end 5263.90034375
transcript.pyannote[873].speaker SPEAKER_09
transcript.pyannote[873].start 5264.00159375
transcript.pyannote[873].end 5268.10221875
transcript.pyannote[874].speaker SPEAKER_26
transcript.pyannote[874].start 5267.96721875
transcript.pyannote[874].end 5269.62096875
transcript.pyannote[875].speaker SPEAKER_26
transcript.pyannote[875].start 5269.99221875
transcript.pyannote[875].end 5285.26409375
transcript.pyannote[876].speaker SPEAKER_26
transcript.pyannote[876].start 5285.78721875
transcript.pyannote[876].end 5298.47721875
transcript.pyannote[877].speaker SPEAKER_26
transcript.pyannote[877].start 5298.86534375
transcript.pyannote[877].end 5300.68784375
transcript.pyannote[878].speaker SPEAKER_26
transcript.pyannote[878].start 5300.70471875
transcript.pyannote[878].end 5301.59909375
transcript.pyannote[879].speaker SPEAKER_09
transcript.pyannote[879].start 5302.30784375
transcript.pyannote[879].end 5302.59471875
transcript.pyannote[880].speaker SPEAKER_09
transcript.pyannote[880].start 5302.89846875
transcript.pyannote[880].end 5305.37909375
transcript.pyannote[881].speaker SPEAKER_09
transcript.pyannote[881].start 5305.95284375
transcript.pyannote[881].end 5308.07909375
transcript.pyannote[882].speaker SPEAKER_09
transcript.pyannote[882].start 5309.15909375
transcript.pyannote[882].end 5313.00659375
transcript.pyannote[883].speaker SPEAKER_09
transcript.pyannote[883].start 5313.61409375
transcript.pyannote[883].end 5314.00221875
transcript.pyannote[884].speaker SPEAKER_09
transcript.pyannote[884].start 5314.20471875
transcript.pyannote[884].end 5320.78596875
transcript.pyannote[885].speaker SPEAKER_05
transcript.pyannote[885].start 5320.78596875
transcript.pyannote[885].end 5321.32596875
transcript.pyannote[886].speaker SPEAKER_09
transcript.pyannote[886].start 5321.32596875
transcript.pyannote[886].end 5326.33784375
transcript.pyannote[887].speaker SPEAKER_26
transcript.pyannote[887].start 5326.06784375
transcript.pyannote[887].end 5345.98034375
transcript.pyannote[888].speaker SPEAKER_09
transcript.pyannote[888].start 5343.02721875
transcript.pyannote[888].end 5344.42784375
transcript.pyannote[889].speaker SPEAKER_09
transcript.pyannote[889].start 5345.13659375
transcript.pyannote[889].end 5345.96346875
transcript.pyannote[890].speaker SPEAKER_09
transcript.pyannote[890].start 5345.98034375
transcript.pyannote[890].end 5345.99721875
transcript.pyannote[891].speaker SPEAKER_26
transcript.pyannote[891].start 5345.99721875
transcript.pyannote[891].end 5346.01409375
transcript.pyannote[892].speaker SPEAKER_09
transcript.pyannote[892].start 5346.01409375
transcript.pyannote[892].end 5364.62721875
transcript.pyannote[893].speaker SPEAKER_26
transcript.pyannote[893].start 5357.86034375
transcript.pyannote[893].end 5360.07096875
transcript.pyannote[894].speaker SPEAKER_09
transcript.pyannote[894].start 5365.08284375
transcript.pyannote[894].end 5369.36909375
transcript.pyannote[895].speaker SPEAKER_26
transcript.pyannote[895].start 5368.20471875
transcript.pyannote[895].end 5372.35596875
transcript.pyannote[896].speaker SPEAKER_26
transcript.pyannote[896].start 5373.33471875
transcript.pyannote[896].end 5375.91659375
transcript.pyannote[897].speaker SPEAKER_09
transcript.pyannote[897].start 5376.84471875
transcript.pyannote[897].end 5382.91971875
transcript.pyannote[898].speaker SPEAKER_09
transcript.pyannote[898].start 5383.29096875
transcript.pyannote[898].end 5389.45034375
transcript.pyannote[899].speaker SPEAKER_26
transcript.pyannote[899].start 5389.73721875
transcript.pyannote[899].end 5394.93471875
transcript.pyannote[900].speaker SPEAKER_26
transcript.pyannote[900].start 5395.06971875
transcript.pyannote[900].end 5404.33409375
transcript.pyannote[901].speaker SPEAKER_26
transcript.pyannote[901].start 5404.67159375
transcript.pyannote[901].end 5425.12409375
transcript.pyannote[902].speaker SPEAKER_09
transcript.pyannote[902].start 5421.79971875
transcript.pyannote[902].end 5422.45784375
transcript.pyannote[903].speaker SPEAKER_09
transcript.pyannote[903].start 5422.93034375
transcript.pyannote[903].end 5428.97159375
transcript.pyannote[904].speaker SPEAKER_09
transcript.pyannote[904].start 5429.44409375
transcript.pyannote[904].end 5436.27846875
transcript.pyannote[905].speaker SPEAKER_09
transcript.pyannote[905].start 5436.81846875
transcript.pyannote[905].end 5439.01221875
transcript.pyannote[906].speaker SPEAKER_09
transcript.pyannote[906].start 5439.19784375
transcript.pyannote[906].end 5442.89346875
transcript.pyannote[907].speaker SPEAKER_26
transcript.pyannote[907].start 5442.03284375
transcript.pyannote[907].end 5450.55471875
transcript.pyannote[908].speaker SPEAKER_09
transcript.pyannote[908].start 5450.03159375
transcript.pyannote[908].end 5460.67971875
transcript.pyannote[909].speaker SPEAKER_26
transcript.pyannote[909].start 5452.73159375
transcript.pyannote[909].end 5453.74409375
transcript.pyannote[910].speaker SPEAKER_26
transcript.pyannote[910].start 5454.16596875
transcript.pyannote[910].end 5455.93784375
transcript.pyannote[911].speaker SPEAKER_26
transcript.pyannote[911].start 5457.08534375
transcript.pyannote[911].end 5460.59534375
transcript.pyannote[912].speaker SPEAKER_10
transcript.pyannote[912].start 5460.67971875
transcript.pyannote[912].end 5460.71346875
transcript.pyannote[913].speaker SPEAKER_09
transcript.pyannote[913].start 5460.71346875
transcript.pyannote[913].end 5460.73034375
transcript.pyannote[914].speaker SPEAKER_26
transcript.pyannote[914].start 5462.18159375
transcript.pyannote[914].end 5464.89846875
transcript.pyannote[915].speaker SPEAKER_26
transcript.pyannote[915].start 5465.64096875
transcript.pyannote[915].end 5467.61534375
transcript.pyannote[916].speaker SPEAKER_26
transcript.pyannote[916].start 5468.08784375
transcript.pyannote[916].end 5473.53846875
transcript.pyannote[917].speaker SPEAKER_26
transcript.pyannote[917].start 5473.85909375
transcript.pyannote[917].end 5478.28034375
transcript.pyannote[918].speaker SPEAKER_26
transcript.pyannote[918].start 5478.55034375
transcript.pyannote[918].end 5485.87409375
transcript.pyannote[919].speaker SPEAKER_26
transcript.pyannote[919].start 5486.19471875
transcript.pyannote[919].end 5489.33346875
transcript.pyannote[920].speaker SPEAKER_09
transcript.pyannote[920].start 5490.54846875
transcript.pyannote[920].end 5490.83534375
transcript.pyannote[921].speaker SPEAKER_09
transcript.pyannote[921].start 5491.96596875
transcript.pyannote[921].end 5495.42534375
transcript.pyannote[922].speaker SPEAKER_09
transcript.pyannote[922].start 5495.67846875
transcript.pyannote[922].end 5496.97784375
transcript.pyannote[923].speaker SPEAKER_26
transcript.pyannote[923].start 5495.76284375
transcript.pyannote[923].end 5503.23846875
transcript.pyannote[924].speaker SPEAKER_09
transcript.pyannote[924].start 5500.09971875
transcript.pyannote[924].end 5500.47096875
transcript.pyannote[925].speaker SPEAKER_09
transcript.pyannote[925].start 5501.87159375
transcript.pyannote[925].end 5504.97659375
transcript.pyannote[926].speaker SPEAKER_26
transcript.pyannote[926].start 5504.58846875
transcript.pyannote[926].end 5508.72284375
transcript.pyannote[927].speaker SPEAKER_09
transcript.pyannote[927].start 5508.72284375
transcript.pyannote[927].end 5508.75659375
transcript.pyannote[928].speaker SPEAKER_05
transcript.pyannote[928].start 5508.75659375
transcript.pyannote[928].end 5508.77346875
transcript.pyannote[929].speaker SPEAKER_09
transcript.pyannote[929].start 5508.77346875
transcript.pyannote[929].end 5509.11096875
transcript.pyannote[930].speaker SPEAKER_05
transcript.pyannote[930].start 5509.11096875
transcript.pyannote[930].end 5509.12784375
transcript.pyannote[931].speaker SPEAKER_26
transcript.pyannote[931].start 5509.12784375
transcript.pyannote[931].end 5509.14471875
transcript.pyannote[932].speaker SPEAKER_26
transcript.pyannote[932].start 5509.16159375
transcript.pyannote[932].end 5511.22034375
transcript.pyannote[933].speaker SPEAKER_05
transcript.pyannote[933].start 5511.22034375
transcript.pyannote[933].end 5511.64221875
transcript.pyannote[934].speaker SPEAKER_26
transcript.pyannote[934].start 5511.76034375
transcript.pyannote[934].end 5518.57784375
transcript.pyannote[935].speaker SPEAKER_09
transcript.pyannote[935].start 5520.11346875
transcript.pyannote[935].end 5520.13034375
transcript.pyannote[936].speaker SPEAKER_01
transcript.pyannote[936].start 5520.13034375
transcript.pyannote[936].end 5520.43409375
transcript.pyannote[937].speaker SPEAKER_09
transcript.pyannote[937].start 5521.12596875
transcript.pyannote[937].end 5522.62784375
transcript.pyannote[938].speaker SPEAKER_01
transcript.pyannote[938].start 5522.62784375
transcript.pyannote[938].end 5538.15284375
transcript.pyannote[939].speaker SPEAKER_09
transcript.pyannote[939].start 5522.64471875
transcript.pyannote[939].end 5522.94846875
transcript.pyannote[940].speaker SPEAKER_26
transcript.pyannote[940].start 5537.74784375
transcript.pyannote[940].end 5539.99221875
transcript.pyannote[941].speaker SPEAKER_01
transcript.pyannote[941].start 5540.12721875
transcript.pyannote[941].end 5543.09721875
transcript.pyannote[942].speaker SPEAKER_26
transcript.pyannote[942].start 5543.09721875
transcript.pyannote[942].end 5543.51909375
transcript.pyannote[943].speaker SPEAKER_26
transcript.pyannote[943].start 5544.05909375
transcript.pyannote[943].end 5560.81596875
transcript.pyannote[944].speaker SPEAKER_05
transcript.pyannote[944].start 5560.81596875
transcript.pyannote[944].end 5561.25471875
transcript.pyannote[945].speaker SPEAKER_26
transcript.pyannote[945].start 5561.45721875
transcript.pyannote[945].end 5562.06471875
transcript.pyannote[946].speaker SPEAKER_26
transcript.pyannote[946].start 5562.46971875
transcript.pyannote[946].end 5570.48534375
transcript.pyannote[947].speaker SPEAKER_23
transcript.pyannote[947].start 5572.89846875
transcript.pyannote[947].end 5582.26409375
transcript.pyannote[948].speaker SPEAKER_23
transcript.pyannote[948].start 5582.44971875
transcript.pyannote[948].end 5588.91284375
transcript.pyannote[949].speaker SPEAKER_23
transcript.pyannote[949].start 5589.30096875
transcript.pyannote[949].end 5591.29221875
transcript.pyannote[950].speaker SPEAKER_23
transcript.pyannote[950].start 5591.54534375
transcript.pyannote[950].end 5604.97784375
transcript.pyannote[951].speaker SPEAKER_26
transcript.pyannote[951].start 5599.98284375
transcript.pyannote[951].end 5609.24721875
transcript.pyannote[952].speaker SPEAKER_05
transcript.pyannote[952].start 5607.64409375
transcript.pyannote[952].end 5608.60596875
transcript.pyannote[953].speaker SPEAKER_26
transcript.pyannote[953].start 5609.70284375
transcript.pyannote[953].end 5617.56659375
transcript.pyannote[954].speaker SPEAKER_26
transcript.pyannote[954].start 5617.80284375
transcript.pyannote[954].end 5633.90159375
transcript.pyannote[955].speaker SPEAKER_26
transcript.pyannote[955].start 5634.07034375
transcript.pyannote[955].end 5655.55221875
transcript.pyannote[956].speaker SPEAKER_26
transcript.pyannote[956].start 5656.64909375
transcript.pyannote[956].end 5660.90159375
transcript.pyannote[957].speaker SPEAKER_01
transcript.pyannote[957].start 5663.09534375
transcript.pyannote[957].end 5668.22534375
transcript.pyannote[958].speaker SPEAKER_26
transcript.pyannote[958].start 5668.12409375
transcript.pyannote[958].end 5676.00471875
transcript.pyannote[959].speaker SPEAKER_26
transcript.pyannote[959].start 5676.54471875
transcript.pyannote[959].end 5679.61596875
transcript.pyannote[960].speaker SPEAKER_26
transcript.pyannote[960].start 5680.22346875
transcript.pyannote[960].end 5683.59846875
transcript.pyannote[961].speaker SPEAKER_26
transcript.pyannote[961].start 5684.40846875
transcript.pyannote[961].end 5691.27659375
transcript.pyannote[962].speaker SPEAKER_26
transcript.pyannote[962].start 5692.06971875
transcript.pyannote[962].end 5695.63034375
transcript.pyannote[963].speaker SPEAKER_26
transcript.pyannote[963].start 5698.27971875
transcript.pyannote[963].end 5698.63409375
transcript.pyannote[964].speaker SPEAKER_09
transcript.pyannote[964].start 5699.03909375
transcript.pyannote[964].end 5700.89534375
transcript.pyannote[965].speaker SPEAKER_09
transcript.pyannote[965].start 5700.96284375
transcript.pyannote[965].end 5702.58284375
transcript.pyannote[966].speaker SPEAKER_26
transcript.pyannote[966].start 5702.80221875
transcript.pyannote[966].end 5711.03721875
transcript.pyannote[967].speaker SPEAKER_26
transcript.pyannote[967].start 5712.18471875
transcript.pyannote[967].end 5725.19534375
transcript.pyannote[968].speaker SPEAKER_26
transcript.pyannote[968].start 5725.49909375
transcript.pyannote[968].end 5729.63346875
transcript.pyannote[969].speaker SPEAKER_26
transcript.pyannote[969].start 5729.95409375
transcript.pyannote[969].end 5740.99034375
transcript.pyannote[970].speaker SPEAKER_26
transcript.pyannote[970].start 5741.51346875
transcript.pyannote[970].end 5745.37784375
transcript.pyannote[971].speaker SPEAKER_05
transcript.pyannote[971].start 5745.90096875
transcript.pyannote[971].end 5746.00221875
transcript.pyannote[972].speaker SPEAKER_05
transcript.pyannote[972].start 5746.06971875
transcript.pyannote[972].end 5746.54221875
transcript.pyannote[973].speaker SPEAKER_26
transcript.pyannote[973].start 5746.45784375
transcript.pyannote[973].end 5752.58346875
transcript.pyannote[974].speaker SPEAKER_26
transcript.pyannote[974].start 5752.97159375
transcript.pyannote[974].end 5762.64096875
transcript.pyannote[975].speaker SPEAKER_09
transcript.pyannote[975].start 5763.23159375
transcript.pyannote[975].end 5775.21284375
transcript.pyannote[976].speaker SPEAKER_26
transcript.pyannote[976].start 5773.15409375
transcript.pyannote[976].end 5774.67284375
transcript.pyannote[977].speaker SPEAKER_26
transcript.pyannote[977].start 5775.21284375
transcript.pyannote[977].end 5783.02596875
transcript.pyannote[978].speaker SPEAKER_09
transcript.pyannote[978].start 5775.44909375
transcript.pyannote[978].end 5775.49971875
transcript.pyannote[979].speaker SPEAKER_09
transcript.pyannote[979].start 5777.99721875
transcript.pyannote[979].end 5780.91659375
transcript.pyannote[980].speaker SPEAKER_09
transcript.pyannote[980].start 5781.49034375
transcript.pyannote[980].end 5781.99659375
transcript.pyannote[981].speaker SPEAKER_09
transcript.pyannote[981].start 5783.02596875
transcript.pyannote[981].end 5790.41721875
transcript.pyannote[982].speaker SPEAKER_26
transcript.pyannote[982].start 5788.10534375
transcript.pyannote[982].end 5800.05284375
transcript.pyannote[983].speaker SPEAKER_09
transcript.pyannote[983].start 5791.59846875
transcript.pyannote[983].end 5791.96971875
transcript.pyannote[984].speaker SPEAKER_05
transcript.pyannote[984].start 5796.07034375
transcript.pyannote[984].end 5797.40346875
transcript.pyannote[985].speaker SPEAKER_05
transcript.pyannote[985].start 5798.60159375
transcript.pyannote[985].end 5799.02346875
transcript.pyannote[986].speaker SPEAKER_09
transcript.pyannote[986].start 5799.02346875
transcript.pyannote[986].end 5799.19221875
transcript.pyannote[987].speaker SPEAKER_05
transcript.pyannote[987].start 5799.19221875
transcript.pyannote[987].end 5800.40721875
transcript.pyannote[988].speaker SPEAKER_26
transcript.pyannote[988].start 5801.70659375
transcript.pyannote[988].end 5803.90034375
transcript.pyannote[989].speaker SPEAKER_09
transcript.pyannote[989].start 5802.60096875
transcript.pyannote[989].end 5810.97096875
transcript.pyannote[990].speaker SPEAKER_26
transcript.pyannote[990].start 5810.97096875
transcript.pyannote[990].end 5814.86909375
transcript.pyannote[991].speaker SPEAKER_09
transcript.pyannote[991].start 5813.53596875
transcript.pyannote[991].end 5813.63721875
transcript.pyannote[992].speaker SPEAKER_09
transcript.pyannote[992].start 5813.77221875
transcript.pyannote[992].end 5815.25721875
transcript.pyannote[993].speaker SPEAKER_26
transcript.pyannote[993].start 5815.25721875
transcript.pyannote[993].end 5822.20971875
transcript.pyannote[994].speaker SPEAKER_09
transcript.pyannote[994].start 5815.29096875
transcript.pyannote[994].end 5816.57346875
transcript.pyannote[995].speaker SPEAKER_26
transcript.pyannote[995].start 5822.66534375
transcript.pyannote[995].end 5829.02721875
transcript.pyannote[996].speaker SPEAKER_05
transcript.pyannote[996].start 5826.02346875
transcript.pyannote[996].end 5826.58034375
transcript.pyannote[997].speaker SPEAKER_09
transcript.pyannote[997].start 5829.02721875
transcript.pyannote[997].end 5829.92159375
transcript.pyannote[998].speaker SPEAKER_26
transcript.pyannote[998].start 5829.92159375
transcript.pyannote[998].end 5829.97221875
transcript.pyannote[999].speaker SPEAKER_09
transcript.pyannote[999].start 5829.97221875
transcript.pyannote[999].end 5838.00471875
transcript.pyannote[1000].speaker SPEAKER_26
transcript.pyannote[1000].start 5837.32971875
transcript.pyannote[1000].end 5842.56096875
transcript.pyannote[1001].speaker SPEAKER_09
transcript.pyannote[1001].start 5838.24096875
transcript.pyannote[1001].end 5838.81471875
transcript.pyannote[1002].speaker SPEAKER_09
transcript.pyannote[1002].start 5841.83534375
transcript.pyannote[1002].end 5842.54409375
transcript.pyannote[1003].speaker SPEAKER_09
transcript.pyannote[1003].start 5842.56096875
transcript.pyannote[1003].end 5842.96596875
transcript.pyannote[1004].speaker SPEAKER_26
transcript.pyannote[1004].start 5842.96596875
transcript.pyannote[1004].end 5843.03346875
transcript.pyannote[1005].speaker SPEAKER_09
transcript.pyannote[1005].start 5843.03346875
transcript.pyannote[1005].end 5843.53971875
transcript.pyannote[1006].speaker SPEAKER_26
transcript.pyannote[1006].start 5843.53971875
transcript.pyannote[1006].end 5843.64096875
transcript.pyannote[1007].speaker SPEAKER_26
transcript.pyannote[1007].start 5844.02909375
transcript.pyannote[1007].end 5853.32721875
transcript.pyannote[1008].speaker SPEAKER_09
transcript.pyannote[1008].start 5844.21471875
transcript.pyannote[1008].end 5844.72096875
transcript.pyannote[1009].speaker SPEAKER_26
transcript.pyannote[1009].start 5854.01909375
transcript.pyannote[1009].end 5857.54596875
transcript.pyannote[1010].speaker SPEAKER_26
transcript.pyannote[1010].start 5857.79909375
transcript.pyannote[1010].end 5859.82409375
transcript.pyannote[1011].speaker SPEAKER_26
transcript.pyannote[1011].start 5860.53284375
transcript.pyannote[1011].end 5863.46909375
transcript.pyannote[1012].speaker SPEAKER_26
transcript.pyannote[1012].start 5863.94159375
transcript.pyannote[1012].end 5864.49846875
transcript.pyannote[1013].speaker SPEAKER_26
transcript.pyannote[1013].start 5866.23659375
transcript.pyannote[1013].end 5872.80096875
transcript.pyannote[1014].speaker SPEAKER_26
transcript.pyannote[1014].start 5873.47596875
transcript.pyannote[1014].end 5884.86659375
transcript.pyannote[1015].speaker SPEAKER_26
transcript.pyannote[1015].start 5884.93409375
transcript.pyannote[1015].end 5912.55846875
transcript.pyannote[1016].speaker SPEAKER_26
transcript.pyannote[1016].start 5913.79034375
transcript.pyannote[1016].end 5923.27409375
transcript.pyannote[1017].speaker SPEAKER_26
transcript.pyannote[1017].start 5923.84784375
transcript.pyannote[1017].end 5924.26971875
transcript.pyannote[1018].speaker SPEAKER_09
transcript.pyannote[1018].start 5925.73784375
transcript.pyannote[1018].end 5961.10784375
transcript.pyannote[1019].speaker SPEAKER_00
transcript.pyannote[1019].start 5936.06534375
transcript.pyannote[1019].end 5936.55471875
transcript.pyannote[1020].speaker SPEAKER_26
transcript.pyannote[1020].start 5961.76596875
transcript.pyannote[1020].end 5973.07221875
transcript.pyannote[1021].speaker SPEAKER_03
transcript.pyannote[1021].start 5966.98034375
transcript.pyannote[1021].end 5967.04784375
transcript.pyannote[1022].speaker SPEAKER_05
transcript.pyannote[1022].start 5967.04784375
transcript.pyannote[1022].end 5967.36846875
transcript.pyannote[1023].speaker SPEAKER_03
transcript.pyannote[1023].start 5967.36846875
transcript.pyannote[1023].end 5967.43596875
transcript.pyannote[1024].speaker SPEAKER_05
transcript.pyannote[1024].start 5967.43596875
transcript.pyannote[1024].end 5967.48659375
transcript.pyannote[1025].speaker SPEAKER_09
transcript.pyannote[1025].start 5973.13971875
transcript.pyannote[1025].end 5973.76409375
transcript.pyannote[1026].speaker SPEAKER_09
transcript.pyannote[1026].start 5974.40534375
transcript.pyannote[1026].end 5974.48971875
transcript.pyannote[1027].speaker SPEAKER_09
transcript.pyannote[1027].start 5975.38409375
transcript.pyannote[1027].end 5979.07971875
transcript.pyannote[1028].speaker SPEAKER_09
transcript.pyannote[1028].start 5979.28221875
transcript.pyannote[1028].end 5980.22721875
transcript.pyannote[1029].speaker SPEAKER_09
transcript.pyannote[1029].start 5980.66596875
transcript.pyannote[1029].end 5985.62721875
transcript.pyannote[1030].speaker SPEAKER_09
transcript.pyannote[1030].start 5986.06596875
transcript.pyannote[1030].end 5986.57221875
transcript.pyannote[1031].speaker SPEAKER_26
transcript.pyannote[1031].start 5986.57221875
transcript.pyannote[1031].end 5993.69346875
transcript.pyannote[1032].speaker SPEAKER_11
transcript.pyannote[1032].start 5991.78659375
transcript.pyannote[1032].end 5991.83721875
transcript.pyannote[1033].speaker SPEAKER_11
transcript.pyannote[1033].start 5991.87096875
transcript.pyannote[1033].end 5992.09034375
transcript.pyannote[1034].speaker SPEAKER_11
transcript.pyannote[1034].start 5992.14096875
transcript.pyannote[1034].end 5992.22534375
transcript.pyannote[1035].speaker SPEAKER_09
transcript.pyannote[1035].start 5992.22534375
transcript.pyannote[1035].end 5993.03534375
transcript.pyannote[1036].speaker SPEAKER_11
transcript.pyannote[1036].start 5993.03534375
transcript.pyannote[1036].end 5993.65971875
transcript.pyannote[1037].speaker SPEAKER_11
transcript.pyannote[1037].start 5993.69346875
transcript.pyannote[1037].end 5994.82409375
transcript.pyannote[1038].speaker SPEAKER_26
transcript.pyannote[1038].start 5994.41909375
transcript.pyannote[1038].end 5994.87471875
transcript.pyannote[1039].speaker SPEAKER_11
transcript.pyannote[1039].start 5994.87471875
transcript.pyannote[1039].end 6004.98284375
transcript.pyannote[1040].speaker SPEAKER_09
transcript.pyannote[1040].start 5995.73534375
transcript.pyannote[1040].end 5995.85346875
transcript.pyannote[1041].speaker SPEAKER_16
transcript.pyannote[1041].start 5995.85346875
transcript.pyannote[1041].end 5996.27534375
transcript.pyannote[1042].speaker SPEAKER_26
transcript.pyannote[1042].start 5996.46096875
transcript.pyannote[1042].end 5996.98409375
transcript.pyannote[1043].speaker SPEAKER_03
transcript.pyannote[1043].start 6004.10534375
transcript.pyannote[1043].end 6006.18096875
transcript.pyannote[1044].speaker SPEAKER_11
transcript.pyannote[1044].start 6006.18096875
transcript.pyannote[1044].end 6006.56909375
transcript.pyannote[1045].speaker SPEAKER_11
transcript.pyannote[1045].start 6008.52659375
transcript.pyannote[1045].end 6011.58096875
transcript.pyannote[1046].speaker SPEAKER_12
transcript.pyannote[1046].start 6021.06471875
transcript.pyannote[1046].end 6022.97159375
transcript.pyannote[1047].speaker SPEAKER_11
transcript.pyannote[1047].start 6023.46096875
transcript.pyannote[1047].end 6024.33846875
transcript.pyannote[1048].speaker SPEAKER_12
transcript.pyannote[1048].start 6029.67096875
transcript.pyannote[1048].end 6034.34534375
transcript.pyannote[1049].speaker SPEAKER_12
transcript.pyannote[1049].start 6034.86846875
transcript.pyannote[1049].end 6036.57284375
transcript.pyannote[1050].speaker SPEAKER_12
transcript.pyannote[1050].start 6037.68659375
transcript.pyannote[1050].end 6038.10846875
transcript.pyannote[1051].speaker SPEAKER_12
transcript.pyannote[1051].start 6038.66534375
transcript.pyannote[1051].end 6055.77659375
transcript.pyannote[1052].speaker SPEAKER_12
transcript.pyannote[1052].start 6057.09284375
transcript.pyannote[1052].end 6060.95721875
transcript.pyannote[1053].speaker SPEAKER_12
transcript.pyannote[1053].start 6061.51409375
transcript.pyannote[1053].end 6064.23096875
transcript.pyannote[1054].speaker SPEAKER_12
transcript.pyannote[1054].start 6064.80471875
transcript.pyannote[1054].end 6071.70659375
transcript.pyannote[1055].speaker SPEAKER_12
transcript.pyannote[1055].start 6072.60096875
transcript.pyannote[1055].end 6077.69721875
transcript.pyannote[1056].speaker SPEAKER_12
transcript.pyannote[1056].start 6078.16971875
transcript.pyannote[1056].end 6079.24971875
transcript.pyannote[1057].speaker SPEAKER_12
transcript.pyannote[1057].start 6080.34659375
transcript.pyannote[1057].end 6081.39284375
transcript.pyannote[1058].speaker SPEAKER_12
transcript.pyannote[1058].start 6082.15221875
transcript.pyannote[1058].end 6096.58034375
transcript.pyannote[1059].speaker SPEAKER_23
transcript.pyannote[1059].start 6094.84221875
transcript.pyannote[1059].end 6094.87596875
transcript.pyannote[1060].speaker SPEAKER_05
transcript.pyannote[1060].start 6094.87596875
transcript.pyannote[1060].end 6095.16284375
transcript.pyannote[1061].speaker SPEAKER_23
transcript.pyannote[1061].start 6095.16284375
transcript.pyannote[1061].end 6095.19659375
transcript.pyannote[1062].speaker SPEAKER_12
transcript.pyannote[1062].start 6097.01909375
transcript.pyannote[1062].end 6100.93409375
transcript.pyannote[1063].speaker SPEAKER_23
transcript.pyannote[1063].start 6097.25534375
transcript.pyannote[1063].end 6097.59284375
transcript.pyannote[1064].speaker SPEAKER_09
transcript.pyannote[1064].start 6097.59284375
transcript.pyannote[1064].end 6097.62659375
transcript.pyannote[1065].speaker SPEAKER_23
transcript.pyannote[1065].start 6097.62659375
transcript.pyannote[1065].end 6097.69409375
transcript.pyannote[1066].speaker SPEAKER_09
transcript.pyannote[1066].start 6097.69409375
transcript.pyannote[1066].end 6097.74471875
transcript.pyannote[1067].speaker SPEAKER_09
transcript.pyannote[1067].start 6098.03159375
transcript.pyannote[1067].end 6098.47034375
transcript.pyannote[1068].speaker SPEAKER_09
transcript.pyannote[1068].start 6100.57971875
transcript.pyannote[1068].end 6100.83284375
transcript.pyannote[1069].speaker SPEAKER_12
transcript.pyannote[1069].start 6101.27159375
transcript.pyannote[1069].end 6101.30534375
transcript.pyannote[1070].speaker SPEAKER_09
transcript.pyannote[1070].start 6101.30534375
transcript.pyannote[1070].end 6104.57909375
transcript.pyannote[1071].speaker SPEAKER_09
transcript.pyannote[1071].start 6104.81534375
transcript.pyannote[1071].end 6110.73846875
transcript.pyannote[1072].speaker SPEAKER_09
transcript.pyannote[1072].start 6110.89034375
transcript.pyannote[1072].end 6111.54846875
transcript.pyannote[1073].speaker SPEAKER_09
transcript.pyannote[1073].start 6112.39221875
transcript.pyannote[1073].end 6116.44221875
transcript.pyannote[1074].speaker SPEAKER_09
transcript.pyannote[1074].start 6116.47596875
transcript.pyannote[1074].end 6119.81721875
transcript.pyannote[1075].speaker SPEAKER_09
transcript.pyannote[1075].start 6120.18846875
transcript.pyannote[1075].end 6127.76534375
transcript.pyannote[1076].speaker SPEAKER_12
transcript.pyannote[1076].start 6127.76534375
transcript.pyannote[1076].end 6127.78221875
transcript.pyannote[1077].speaker SPEAKER_12
transcript.pyannote[1077].start 6128.23784375
transcript.pyannote[1077].end 6128.82846875
transcript.pyannote[1078].speaker SPEAKER_12
transcript.pyannote[1078].start 6129.36846875
transcript.pyannote[1078].end 6143.49284375
transcript.pyannote[1079].speaker SPEAKER_00
transcript.pyannote[1079].start 6139.78034375
transcript.pyannote[1079].end 6139.91534375
transcript.pyannote[1080].speaker SPEAKER_31
transcript.pyannote[1080].start 6139.91534375
transcript.pyannote[1080].end 6139.99971875
transcript.pyannote[1081].speaker SPEAKER_00
transcript.pyannote[1081].start 6139.99971875
transcript.pyannote[1081].end 6140.01659375
transcript.pyannote[1082].speaker SPEAKER_23
transcript.pyannote[1082].start 6142.81784375
transcript.pyannote[1082].end 6143.18909375
transcript.pyannote[1083].speaker SPEAKER_12
transcript.pyannote[1083].start 6144.48846875
transcript.pyannote[1083].end 6148.11659375
transcript.pyannote[1084].speaker SPEAKER_23
transcript.pyannote[1084].start 6147.27284375
transcript.pyannote[1084].end 6147.37409375
transcript.pyannote[1085].speaker SPEAKER_12
transcript.pyannote[1085].start 6148.97721875
transcript.pyannote[1085].end 6149.19659375
transcript.pyannote[1086].speaker SPEAKER_12
transcript.pyannote[1086].start 6149.92221875
transcript.pyannote[1086].end 6155.22096875
transcript.pyannote[1087].speaker SPEAKER_12
transcript.pyannote[1087].start 6156.13221875
transcript.pyannote[1087].end 6159.99659375
transcript.pyannote[1088].speaker SPEAKER_12
transcript.pyannote[1088].start 6160.77284375
transcript.pyannote[1088].end 6162.10596875
transcript.pyannote[1089].speaker SPEAKER_12
transcript.pyannote[1089].start 6162.25784375
transcript.pyannote[1089].end 6162.98346875
transcript.pyannote[1090].speaker SPEAKER_12
transcript.pyannote[1090].start 6163.69221875
transcript.pyannote[1090].end 6167.43846875
transcript.pyannote[1091].speaker SPEAKER_12
transcript.pyannote[1091].start 6168.07971875
transcript.pyannote[1091].end 6169.63221875
transcript.pyannote[1092].speaker SPEAKER_12
transcript.pyannote[1092].start 6170.35784375
transcript.pyannote[1092].end 6171.94409375
transcript.pyannote[1093].speaker SPEAKER_12
transcript.pyannote[1093].start 6172.65284375
transcript.pyannote[1093].end 6174.71159375
transcript.pyannote[1094].speaker SPEAKER_12
transcript.pyannote[1094].start 6175.33596875
transcript.pyannote[1094].end 6176.92221875
transcript.pyannote[1095].speaker SPEAKER_05
transcript.pyannote[1095].start 6178.27221875
transcript.pyannote[1095].end 6178.32284375
transcript.pyannote[1096].speaker SPEAKER_12
transcript.pyannote[1096].start 6178.44096875
transcript.pyannote[1096].end 6181.10721875
transcript.pyannote[1097].speaker SPEAKER_12
transcript.pyannote[1097].start 6181.86659375
transcript.pyannote[1097].end 6187.51971875
transcript.pyannote[1098].speaker SPEAKER_12
transcript.pyannote[1098].start 6188.41409375
transcript.pyannote[1098].end 6189.35909375
transcript.pyannote[1099].speaker SPEAKER_12
transcript.pyannote[1099].start 6189.51096875
transcript.pyannote[1099].end 6193.20659375
transcript.pyannote[1100].speaker SPEAKER_12
transcript.pyannote[1100].start 6193.44284375
transcript.pyannote[1100].end 6195.46784375
transcript.pyannote[1101].speaker SPEAKER_10
transcript.pyannote[1101].start 6193.45971875
transcript.pyannote[1101].end 6194.15159375
transcript.pyannote[1102].speaker SPEAKER_05
transcript.pyannote[1102].start 6194.15159375
transcript.pyannote[1102].end 6194.16846875
transcript.pyannote[1103].speaker SPEAKER_05
transcript.pyannote[1103].start 6194.53971875
transcript.pyannote[1103].end 6194.57346875
transcript.pyannote[1104].speaker SPEAKER_10
transcript.pyannote[1104].start 6194.57346875
transcript.pyannote[1104].end 6195.01221875
transcript.pyannote[1105].speaker SPEAKER_05
transcript.pyannote[1105].start 6195.01221875
transcript.pyannote[1105].end 6195.04596875
transcript.pyannote[1106].speaker SPEAKER_10
transcript.pyannote[1106].start 6195.58596875
transcript.pyannote[1106].end 6195.67034375
transcript.pyannote[1107].speaker SPEAKER_05
transcript.pyannote[1107].start 6195.67034375
transcript.pyannote[1107].end 6196.05846875
transcript.pyannote[1108].speaker SPEAKER_12
transcript.pyannote[1108].start 6196.05846875
transcript.pyannote[1108].end 6200.54721875
transcript.pyannote[1109].speaker SPEAKER_05
transcript.pyannote[1109].start 6200.54721875
transcript.pyannote[1109].end 6200.90159375
transcript.pyannote[1110].speaker SPEAKER_12
transcript.pyannote[1110].start 6200.90159375
transcript.pyannote[1110].end 6204.42846875
transcript.pyannote[1111].speaker SPEAKER_12
transcript.pyannote[1111].start 6204.83346875
transcript.pyannote[1111].end 6211.97159375
transcript.pyannote[1112].speaker SPEAKER_09
transcript.pyannote[1112].start 6208.00596875
transcript.pyannote[1112].end 6208.03971875
transcript.pyannote[1113].speaker SPEAKER_10
transcript.pyannote[1113].start 6208.03971875
transcript.pyannote[1113].end 6208.09034375
transcript.pyannote[1114].speaker SPEAKER_09
transcript.pyannote[1114].start 6208.09034375
transcript.pyannote[1114].end 6208.52909375
transcript.pyannote[1115].speaker SPEAKER_09
transcript.pyannote[1115].start 6211.97159375
transcript.pyannote[1115].end 6213.55784375
transcript.pyannote[1116].speaker SPEAKER_09
transcript.pyannote[1116].start 6214.01346875
transcript.pyannote[1116].end 6218.16471875
transcript.pyannote[1117].speaker SPEAKER_09
transcript.pyannote[1117].start 6218.65409375
transcript.pyannote[1117].end 6221.03346875
transcript.pyannote[1118].speaker SPEAKER_09
transcript.pyannote[1118].start 6221.37096875
transcript.pyannote[1118].end 6221.89409375
transcript.pyannote[1119].speaker SPEAKER_12
transcript.pyannote[1119].start 6221.89409375
transcript.pyannote[1119].end 6222.60284375
transcript.pyannote[1120].speaker SPEAKER_12
transcript.pyannote[1120].start 6223.21034375
transcript.pyannote[1120].end 6224.83034375
transcript.pyannote[1121].speaker SPEAKER_12
transcript.pyannote[1121].start 6225.40409375
transcript.pyannote[1121].end 6226.41659375
transcript.pyannote[1122].speaker SPEAKER_12
transcript.pyannote[1122].start 6226.92284375
transcript.pyannote[1122].end 6228.03659375
transcript.pyannote[1123].speaker SPEAKER_12
transcript.pyannote[1123].start 6228.34034375
transcript.pyannote[1123].end 6229.48784375
transcript.pyannote[1124].speaker SPEAKER_12
transcript.pyannote[1124].start 6229.96034375
transcript.pyannote[1124].end 6231.24284375
transcript.pyannote[1125].speaker SPEAKER_12
transcript.pyannote[1125].start 6231.58034375
transcript.pyannote[1125].end 6233.30159375
transcript.pyannote[1126].speaker SPEAKER_12
transcript.pyannote[1126].start 6233.60534375
transcript.pyannote[1126].end 6238.61721875
transcript.pyannote[1127].speaker SPEAKER_12
transcript.pyannote[1127].start 6239.62971875
transcript.pyannote[1127].end 6241.95846875
transcript.pyannote[1128].speaker SPEAKER_12
transcript.pyannote[1128].start 6242.38034375
transcript.pyannote[1128].end 6252.40409375
transcript.pyannote[1129].speaker SPEAKER_12
transcript.pyannote[1129].start 6253.18034375
transcript.pyannote[1129].end 6253.70346875
transcript.pyannote[1130].speaker SPEAKER_23
transcript.pyannote[1130].start 6253.41659375
transcript.pyannote[1130].end 6253.63596875
transcript.pyannote[1131].speaker SPEAKER_23
transcript.pyannote[1131].start 6253.70346875
transcript.pyannote[1131].end 6253.75409375
transcript.pyannote[1132].speaker SPEAKER_23
transcript.pyannote[1132].start 6254.63159375
transcript.pyannote[1132].end 6274.39221875
transcript.pyannote[1133].speaker SPEAKER_12
transcript.pyannote[1133].start 6260.13284375
transcript.pyannote[1133].end 6260.84159375
transcript.pyannote[1134].speaker SPEAKER_12
transcript.pyannote[1134].start 6271.54034375
transcript.pyannote[1134].end 6279.45471875
transcript.pyannote[1135].speaker SPEAKER_12
transcript.pyannote[1135].start 6279.89346875
transcript.pyannote[1135].end 6280.77096875
transcript.pyannote[1136].speaker SPEAKER_12
transcript.pyannote[1136].start 6281.34471875
transcript.pyannote[1136].end 6285.00659375
transcript.pyannote[1137].speaker SPEAKER_12
transcript.pyannote[1137].start 6285.49596875
transcript.pyannote[1137].end 6288.01034375
transcript.pyannote[1138].speaker SPEAKER_12
transcript.pyannote[1138].start 6289.00596875
transcript.pyannote[1138].end 6296.39721875
transcript.pyannote[1139].speaker SPEAKER_12
transcript.pyannote[1139].start 6296.75159375
transcript.pyannote[1139].end 6302.18534375
transcript.pyannote[1140].speaker SPEAKER_12
transcript.pyannote[1140].start 6303.73784375
transcript.pyannote[1140].end 6304.53096875
transcript.pyannote[1141].speaker SPEAKER_23
transcript.pyannote[1141].start 6304.07534375
transcript.pyannote[1141].end 6304.10909375
transcript.pyannote[1142].speaker SPEAKER_23
transcript.pyannote[1142].start 6304.19346875
transcript.pyannote[1142].end 6304.41284375
transcript.pyannote[1143].speaker SPEAKER_05
transcript.pyannote[1143].start 6304.53096875
transcript.pyannote[1143].end 6304.80096875
transcript.pyannote[1144].speaker SPEAKER_23
transcript.pyannote[1144].start 6304.80096875
transcript.pyannote[1144].end 6304.81784375
transcript.pyannote[1145].speaker SPEAKER_05
transcript.pyannote[1145].start 6304.81784375
transcript.pyannote[1145].end 6304.85159375
transcript.pyannote[1146].speaker SPEAKER_23
transcript.pyannote[1146].start 6304.85159375
transcript.pyannote[1146].end 6305.23971875
transcript.pyannote[1147].speaker SPEAKER_23
transcript.pyannote[1147].start 6305.45909375
transcript.pyannote[1147].end 6314.53784375
transcript.pyannote[1148].speaker SPEAKER_23
transcript.pyannote[1148].start 6314.77409375
transcript.pyannote[1148].end 6334.34909375
transcript.pyannote[1149].speaker SPEAKER_12
transcript.pyannote[1149].start 6334.75409375
transcript.pyannote[1149].end 6336.34034375
transcript.pyannote[1150].speaker SPEAKER_12
transcript.pyannote[1150].start 6336.47534375
transcript.pyannote[1150].end 6354.98721875
transcript.pyannote[1151].speaker SPEAKER_12
transcript.pyannote[1151].start 6355.49346875
transcript.pyannote[1151].end 6360.84284375
transcript.pyannote[1152].speaker SPEAKER_12
transcript.pyannote[1152].start 6361.34909375
transcript.pyannote[1152].end 6362.81721875
transcript.pyannote[1153].speaker SPEAKER_12
transcript.pyannote[1153].start 6363.35721875
transcript.pyannote[1153].end 6369.44909375
transcript.pyannote[1154].speaker SPEAKER_12
transcript.pyannote[1154].start 6369.75284375
transcript.pyannote[1154].end 6372.46971875
transcript.pyannote[1155].speaker SPEAKER_12
transcript.pyannote[1155].start 6373.58346875
transcript.pyannote[1155].end 6377.36346875
transcript.pyannote[1156].speaker SPEAKER_12
transcript.pyannote[1156].start 6378.25784375
transcript.pyannote[1156].end 6381.88596875
transcript.pyannote[1157].speaker SPEAKER_12
transcript.pyannote[1157].start 6382.39221875
transcript.pyannote[1157].end 6382.79721875
transcript.pyannote[1158].speaker SPEAKER_12
transcript.pyannote[1158].start 6383.37096875
transcript.pyannote[1158].end 6383.79284375
transcript.pyannote[1159].speaker SPEAKER_09
transcript.pyannote[1159].start 6385.04159375
transcript.pyannote[1159].end 6387.26909375
transcript.pyannote[1160].speaker SPEAKER_12
transcript.pyannote[1160].start 6387.26909375
transcript.pyannote[1160].end 6389.54721875
transcript.pyannote[1161].speaker SPEAKER_12
transcript.pyannote[1161].start 6390.03659375
transcript.pyannote[1161].end 6400.44846875
transcript.pyannote[1162].speaker SPEAKER_12
transcript.pyannote[1162].start 6402.20346875
transcript.pyannote[1162].end 6403.23284375
transcript.pyannote[1163].speaker SPEAKER_09
transcript.pyannote[1163].start 6403.90784375
transcript.pyannote[1163].end 6404.29596875
transcript.pyannote[1164].speaker SPEAKER_09
transcript.pyannote[1164].start 6404.49846875
transcript.pyannote[1164].end 6426.08159375
transcript.pyannote[1165].speaker SPEAKER_12
transcript.pyannote[1165].start 6425.10284375
transcript.pyannote[1165].end 6429.91221875
transcript.pyannote[1166].speaker SPEAKER_09
transcript.pyannote[1166].start 6427.41471875
transcript.pyannote[1166].end 6434.35034375
transcript.pyannote[1167].speaker SPEAKER_12
transcript.pyannote[1167].start 6430.84034375
transcript.pyannote[1167].end 6431.83596875
transcript.pyannote[1168].speaker SPEAKER_12
transcript.pyannote[1168].start 6433.48971875
transcript.pyannote[1168].end 6433.74284375
transcript.pyannote[1169].speaker SPEAKER_12
transcript.pyannote[1169].start 6434.35034375
transcript.pyannote[1169].end 6434.36721875
transcript.pyannote[1170].speaker SPEAKER_12
transcript.pyannote[1170].start 6434.60346875
transcript.pyannote[1170].end 6437.65784375
transcript.pyannote[1171].speaker SPEAKER_09
transcript.pyannote[1171].start 6437.13471875
transcript.pyannote[1171].end 6437.38784375
transcript.pyannote[1172].speaker SPEAKER_05
transcript.pyannote[1172].start 6437.38784375
transcript.pyannote[1172].end 6437.40471875
transcript.pyannote[1173].speaker SPEAKER_12
transcript.pyannote[1173].start 6438.11346875
transcript.pyannote[1173].end 6445.52159375
transcript.pyannote[1174].speaker SPEAKER_12
transcript.pyannote[1174].start 6446.41596875
transcript.pyannote[1174].end 6447.78284375
transcript.pyannote[1175].speaker SPEAKER_12
transcript.pyannote[1175].start 6448.60971875
transcript.pyannote[1175].end 6449.33534375
transcript.pyannote[1176].speaker SPEAKER_12
transcript.pyannote[1176].start 6449.75721875
transcript.pyannote[1176].end 6452.11971875
transcript.pyannote[1177].speaker SPEAKER_12
transcript.pyannote[1177].start 6452.54159375
transcript.pyannote[1177].end 6463.05471875
transcript.pyannote[1178].speaker SPEAKER_12
transcript.pyannote[1178].start 6463.64534375
transcript.pyannote[1178].end 6465.02909375
transcript.pyannote[1179].speaker SPEAKER_12
transcript.pyannote[1179].start 6465.53534375
transcript.pyannote[1179].end 6466.12596875
transcript.pyannote[1180].speaker SPEAKER_12
transcript.pyannote[1180].start 6467.27346875
transcript.pyannote[1180].end 6468.21846875
transcript.pyannote[1181].speaker SPEAKER_12
transcript.pyannote[1181].start 6468.65721875
transcript.pyannote[1181].end 6468.82596875
transcript.pyannote[1182].speaker SPEAKER_12
transcript.pyannote[1182].start 6469.19721875
transcript.pyannote[1182].end 6473.14596875
transcript.pyannote[1183].speaker SPEAKER_12
transcript.pyannote[1183].start 6473.24721875
transcript.pyannote[1183].end 6476.80784375
transcript.pyannote[1184].speaker SPEAKER_12
transcript.pyannote[1184].start 6476.89221875
transcript.pyannote[1184].end 6480.35159375
transcript.pyannote[1185].speaker SPEAKER_12
transcript.pyannote[1185].start 6481.00971875
transcript.pyannote[1185].end 6493.51409375
transcript.pyannote[1186].speaker SPEAKER_09
transcript.pyannote[1186].start 6488.72159375
transcript.pyannote[1186].end 6488.83971875
transcript.pyannote[1187].speaker SPEAKER_09
transcript.pyannote[1187].start 6490.99971875
transcript.pyannote[1187].end 6492.07971875
transcript.pyannote[1188].speaker SPEAKER_09
transcript.pyannote[1188].start 6492.26534375
transcript.pyannote[1188].end 6492.68721875
transcript.pyannote[1189].speaker SPEAKER_09
transcript.pyannote[1189].start 6493.48034375
transcript.pyannote[1189].end 6493.49721875
transcript.pyannote[1190].speaker SPEAKER_09
transcript.pyannote[1190].start 6493.51409375
transcript.pyannote[1190].end 6500.33159375
transcript.pyannote[1191].speaker SPEAKER_12
transcript.pyannote[1191].start 6499.87596875
transcript.pyannote[1191].end 6499.89284375
transcript.pyannote[1192].speaker SPEAKER_05
transcript.pyannote[1192].start 6499.89284375
transcript.pyannote[1192].end 6500.71971875
transcript.pyannote[1193].speaker SPEAKER_09
transcript.pyannote[1193].start 6500.55096875
transcript.pyannote[1193].end 6507.31784375
transcript.pyannote[1194].speaker SPEAKER_09
transcript.pyannote[1194].start 6507.38534375
transcript.pyannote[1194].end 6511.60409375
transcript.pyannote[1195].speaker SPEAKER_09
transcript.pyannote[1195].start 6512.19471875
transcript.pyannote[1195].end 6515.19846875
transcript.pyannote[1196].speaker SPEAKER_09
transcript.pyannote[1196].start 6515.51909375
transcript.pyannote[1196].end 6519.36659375
transcript.pyannote[1197].speaker SPEAKER_09
transcript.pyannote[1197].start 6519.85596875
transcript.pyannote[1197].end 6531.98909375
transcript.pyannote[1198].speaker SPEAKER_09
transcript.pyannote[1198].start 6532.03971875
transcript.pyannote[1198].end 6532.09034375
transcript.pyannote[1199].speaker SPEAKER_09
transcript.pyannote[1199].start 6532.24221875
transcript.pyannote[1199].end 6533.03534375
transcript.pyannote[1200].speaker SPEAKER_12
transcript.pyannote[1200].start 6533.03534375
transcript.pyannote[1200].end 6544.89846875
transcript.pyannote[1201].speaker SPEAKER_10
transcript.pyannote[1201].start 6539.12721875
transcript.pyannote[1201].end 6541.75971875
transcript.pyannote[1202].speaker SPEAKER_10
transcript.pyannote[1202].start 6544.54409375
transcript.pyannote[1202].end 6544.62846875
transcript.pyannote[1203].speaker SPEAKER_10
transcript.pyannote[1203].start 6544.64534375
transcript.pyannote[1203].end 6544.66221875
transcript.pyannote[1204].speaker SPEAKER_10
transcript.pyannote[1204].start 6544.89846875
transcript.pyannote[1204].end 6545.08409375
transcript.pyannote[1205].speaker SPEAKER_12
transcript.pyannote[1205].start 6545.08409375
transcript.pyannote[1205].end 6547.19346875
transcript.pyannote[1206].speaker SPEAKER_12
transcript.pyannote[1206].start 6547.63221875
transcript.pyannote[1206].end 6547.68284375
transcript.pyannote[1207].speaker SPEAKER_12
transcript.pyannote[1207].start 6548.08784375
transcript.pyannote[1207].end 6548.72909375
transcript.pyannote[1208].speaker SPEAKER_12
transcript.pyannote[1208].start 6549.64034375
transcript.pyannote[1208].end 6556.00221875
transcript.pyannote[1209].speaker SPEAKER_12
transcript.pyannote[1209].start 6556.13721875
transcript.pyannote[1209].end 6560.72721875
transcript.pyannote[1210].speaker SPEAKER_12
transcript.pyannote[1210].start 6561.11534375
transcript.pyannote[1210].end 6573.04596875
transcript.pyannote[1211].speaker SPEAKER_12
transcript.pyannote[1211].start 6573.58596875
transcript.pyannote[1211].end 6578.44596875
transcript.pyannote[1212].speaker SPEAKER_12
transcript.pyannote[1212].start 6578.98596875
transcript.pyannote[1212].end 6580.04909375
transcript.pyannote[1213].speaker SPEAKER_12
transcript.pyannote[1213].start 6580.67346875
transcript.pyannote[1213].end 6583.47471875
transcript.pyannote[1214].speaker SPEAKER_12
transcript.pyannote[1214].start 6583.82909375
transcript.pyannote[1214].end 6585.11159375
transcript.pyannote[1215].speaker SPEAKER_12
transcript.pyannote[1215].start 6585.38159375
transcript.pyannote[1215].end 6602.44221875
transcript.pyannote[1216].speaker SPEAKER_12
transcript.pyannote[1216].start 6603.20159375
transcript.pyannote[1216].end 6603.89346875
transcript.pyannote[1217].speaker SPEAKER_12
transcript.pyannote[1217].start 6605.02409375
transcript.pyannote[1217].end 6610.40721875
transcript.pyannote[1218].speaker SPEAKER_12
transcript.pyannote[1218].start 6610.79534375
transcript.pyannote[1218].end 6618.15284375
transcript.pyannote[1219].speaker SPEAKER_12
transcript.pyannote[1219].start 6618.55784375
transcript.pyannote[1219].end 6621.71346875
transcript.pyannote[1220].speaker SPEAKER_12
transcript.pyannote[1220].start 6622.25346875
transcript.pyannote[1220].end 6622.72596875
transcript.pyannote[1221].speaker SPEAKER_12
transcript.pyannote[1221].start 6623.53596875
transcript.pyannote[1221].end 6625.27409375
transcript.pyannote[1222].speaker SPEAKER_12
transcript.pyannote[1222].start 6627.01221875
transcript.pyannote[1222].end 6629.76284375
transcript.pyannote[1223].speaker SPEAKER_12
transcript.pyannote[1223].start 6630.15096875
transcript.pyannote[1223].end 6634.67346875
transcript.pyannote[1224].speaker SPEAKER_12
transcript.pyannote[1224].start 6636.39471875
transcript.pyannote[1224].end 6637.32284375
transcript.pyannote[1225].speaker SPEAKER_12
transcript.pyannote[1225].start 6637.84596875
transcript.pyannote[1225].end 6640.54596875
transcript.pyannote[1226].speaker SPEAKER_12
transcript.pyannote[1226].start 6641.38971875
transcript.pyannote[1226].end 6643.44846875
transcript.pyannote[1227].speaker SPEAKER_12
transcript.pyannote[1227].start 6644.02221875
transcript.pyannote[1227].end 6654.51846875
transcript.pyannote[1228].speaker SPEAKER_12
transcript.pyannote[1228].start 6655.21034375
transcript.pyannote[1228].end 6659.68221875
transcript.pyannote[1229].speaker SPEAKER_12
transcript.pyannote[1229].start 6660.18846875
transcript.pyannote[1229].end 6663.52971875
transcript.pyannote[1230].speaker SPEAKER_12
transcript.pyannote[1230].start 6663.96846875
transcript.pyannote[1230].end 6666.68534375
transcript.pyannote[1231].speaker SPEAKER_12
transcript.pyannote[1231].start 6666.70221875
transcript.pyannote[1231].end 6666.76971875
transcript.pyannote[1232].speaker SPEAKER_09
transcript.pyannote[1232].start 6666.76971875
transcript.pyannote[1232].end 6670.87034375
transcript.pyannote[1233].speaker SPEAKER_09
transcript.pyannote[1233].start 6671.30909375
transcript.pyannote[1233].end 6674.76846875
transcript.pyannote[1234].speaker SPEAKER_12
transcript.pyannote[1234].start 6674.76846875
transcript.pyannote[1234].end 6686.53034375
transcript.pyannote[1235].speaker SPEAKER_12
transcript.pyannote[1235].start 6687.62721875
transcript.pyannote[1235].end 6690.47909375
transcript.pyannote[1236].speaker SPEAKER_12
transcript.pyannote[1236].start 6691.12034375
transcript.pyannote[1236].end 6693.92159375
transcript.pyannote[1237].speaker SPEAKER_12
transcript.pyannote[1237].start 6694.30971875
transcript.pyannote[1237].end 6695.10284375
transcript.pyannote[1238].speaker SPEAKER_11
transcript.pyannote[1238].start 6696.79034375
transcript.pyannote[1238].end 6708.46784375
transcript.pyannote[1239].speaker SPEAKER_16
transcript.pyannote[1239].start 6715.62284375
transcript.pyannote[1239].end 6718.79534375
transcript.pyannote[1240].speaker SPEAKER_16
transcript.pyannote[1240].start 6722.84534375
transcript.pyannote[1240].end 6723.52034375
transcript.pyannote[1241].speaker SPEAKER_16
transcript.pyannote[1241].start 6723.68909375
transcript.pyannote[1241].end 6727.21596875
transcript.pyannote[1242].speaker SPEAKER_16
transcript.pyannote[1242].start 6727.50284375
transcript.pyannote[1242].end 6744.88409375
transcript.pyannote[1243].speaker SPEAKER_16
transcript.pyannote[1243].start 6745.25534375
transcript.pyannote[1243].end 6750.80721875
transcript.pyannote[1244].speaker SPEAKER_09
transcript.pyannote[1244].start 6748.19159375
transcript.pyannote[1244].end 6748.90034375
transcript.pyannote[1245].speaker SPEAKER_09
transcript.pyannote[1245].start 6751.43159375
transcript.pyannote[1245].end 6752.56221875
transcript.pyannote[1246].speaker SPEAKER_16
transcript.pyannote[1246].start 6752.56221875
transcript.pyannote[1246].end 6752.96721875
transcript.pyannote[1247].speaker SPEAKER_09
transcript.pyannote[1247].start 6752.96721875
transcript.pyannote[1247].end 6753.37221875
transcript.pyannote[1248].speaker SPEAKER_16
transcript.pyannote[1248].start 6753.37221875
transcript.pyannote[1248].end 6753.42284375
transcript.pyannote[1249].speaker SPEAKER_09
transcript.pyannote[1249].start 6753.42284375
transcript.pyannote[1249].end 6753.54096875
transcript.pyannote[1250].speaker SPEAKER_16
transcript.pyannote[1250].start 6753.54096875
transcript.pyannote[1250].end 6763.96971875
transcript.pyannote[1251].speaker SPEAKER_09
transcript.pyannote[1251].start 6754.48596875
transcript.pyannote[1251].end 6757.40534375
transcript.pyannote[1252].speaker SPEAKER_09
transcript.pyannote[1252].start 6763.96971875
transcript.pyannote[1252].end 6764.03721875
transcript.pyannote[1253].speaker SPEAKER_16
transcript.pyannote[1253].start 6764.03721875
transcript.pyannote[1253].end 6764.96534375
transcript.pyannote[1254].speaker SPEAKER_09
transcript.pyannote[1254].start 6764.96534375
transcript.pyannote[1254].end 6765.03284375
transcript.pyannote[1255].speaker SPEAKER_16
transcript.pyannote[1255].start 6765.03284375
transcript.pyannote[1255].end 6765.91034375
transcript.pyannote[1256].speaker SPEAKER_09
transcript.pyannote[1256].start 6765.91034375
transcript.pyannote[1256].end 6766.02846875
transcript.pyannote[1257].speaker SPEAKER_09
transcript.pyannote[1257].start 6766.50096875
transcript.pyannote[1257].end 6766.51784375
transcript.pyannote[1258].speaker SPEAKER_16
transcript.pyannote[1258].start 6766.51784375
transcript.pyannote[1258].end 6767.96909375
transcript.pyannote[1259].speaker SPEAKER_09
transcript.pyannote[1259].start 6766.97346875
transcript.pyannote[1259].end 6767.66534375
transcript.pyannote[1260].speaker SPEAKER_09
transcript.pyannote[1260].start 6767.96909375
transcript.pyannote[1260].end 6768.03659375
transcript.pyannote[1261].speaker SPEAKER_16
transcript.pyannote[1261].start 6768.03659375
transcript.pyannote[1261].end 6770.16284375
transcript.pyannote[1262].speaker SPEAKER_09
transcript.pyannote[1262].start 6769.45409375
transcript.pyannote[1262].end 6769.97721875
transcript.pyannote[1263].speaker SPEAKER_05
transcript.pyannote[1263].start 6769.97721875
transcript.pyannote[1263].end 6770.16284375
transcript.pyannote[1264].speaker SPEAKER_09
transcript.pyannote[1264].start 6770.16284375
transcript.pyannote[1264].end 6770.17971875
transcript.pyannote[1265].speaker SPEAKER_05
transcript.pyannote[1265].start 6770.44971875
transcript.pyannote[1265].end 6770.50034375
transcript.pyannote[1266].speaker SPEAKER_09
transcript.pyannote[1266].start 6770.50034375
transcript.pyannote[1266].end 6770.51721875
transcript.pyannote[1267].speaker SPEAKER_05
transcript.pyannote[1267].start 6770.51721875
transcript.pyannote[1267].end 6771.34409375
transcript.pyannote[1268].speaker SPEAKER_16
transcript.pyannote[1268].start 6770.53409375
transcript.pyannote[1268].end 6790.27784375
transcript.pyannote[1269].speaker SPEAKER_16
transcript.pyannote[1269].start 6790.48034375
transcript.pyannote[1269].end 6792.80909375
transcript.pyannote[1270].speaker SPEAKER_09
transcript.pyannote[1270].start 6792.85971875
transcript.pyannote[1270].end 6804.26721875
transcript.pyannote[1271].speaker SPEAKER_16
transcript.pyannote[1271].start 6802.86659375
transcript.pyannote[1271].end 6804.28409375
transcript.pyannote[1272].speaker SPEAKER_09
transcript.pyannote[1272].start 6804.28409375
transcript.pyannote[1272].end 6804.33471875
transcript.pyannote[1273].speaker SPEAKER_09
transcript.pyannote[1273].start 6804.79034375
transcript.pyannote[1273].end 6806.27534375
transcript.pyannote[1274].speaker SPEAKER_16
transcript.pyannote[1274].start 6805.11096875
transcript.pyannote[1274].end 6810.96659375
transcript.pyannote[1275].speaker SPEAKER_09
transcript.pyannote[1275].start 6806.35971875
transcript.pyannote[1275].end 6806.59596875
transcript.pyannote[1276].speaker SPEAKER_09
transcript.pyannote[1276].start 6810.96659375
transcript.pyannote[1276].end 6821.32784375
transcript.pyannote[1277].speaker SPEAKER_10
transcript.pyannote[1277].start 6816.68721875
transcript.pyannote[1277].end 6817.00784375
transcript.pyannote[1278].speaker SPEAKER_09
transcript.pyannote[1278].start 6821.81721875
transcript.pyannote[1278].end 6830.50784375
transcript.pyannote[1279].speaker SPEAKER_16
transcript.pyannote[1279].start 6830.50784375
transcript.pyannote[1279].end 6830.55846875
transcript.pyannote[1280].speaker SPEAKER_09
transcript.pyannote[1280].start 6830.55846875
transcript.pyannote[1280].end 6830.60909375
transcript.pyannote[1281].speaker SPEAKER_16
transcript.pyannote[1281].start 6830.60909375
transcript.pyannote[1281].end 6830.65971875
transcript.pyannote[1282].speaker SPEAKER_09
transcript.pyannote[1282].start 6830.65971875
transcript.pyannote[1282].end 6830.67659375
transcript.pyannote[1283].speaker SPEAKER_16
transcript.pyannote[1283].start 6830.67659375
transcript.pyannote[1283].end 6845.13846875
transcript.pyannote[1284].speaker SPEAKER_09
transcript.pyannote[1284].start 6830.71034375
transcript.pyannote[1284].end 6832.65096875
transcript.pyannote[1285].speaker SPEAKER_09
transcript.pyannote[1285].start 6838.00034375
transcript.pyannote[1285].end 6839.24909375
transcript.pyannote[1286].speaker SPEAKER_09
transcript.pyannote[1286].start 6841.20659375
transcript.pyannote[1286].end 6841.61159375
transcript.pyannote[1287].speaker SPEAKER_09
transcript.pyannote[1287].start 6845.13846875
transcript.pyannote[1287].end 6854.36909375
transcript.pyannote[1288].speaker SPEAKER_16
transcript.pyannote[1288].start 6854.36909375
transcript.pyannote[1288].end 6859.65096875
transcript.pyannote[1289].speaker SPEAKER_16
transcript.pyannote[1289].start 6859.92096875
transcript.pyannote[1289].end 6862.75596875
transcript.pyannote[1290].speaker SPEAKER_16
transcript.pyannote[1290].start 6863.38034375
transcript.pyannote[1290].end 6864.96659375
transcript.pyannote[1291].speaker SPEAKER_09
transcript.pyannote[1291].start 6864.96659375
transcript.pyannote[1291].end 6867.64971875
transcript.pyannote[1292].speaker SPEAKER_23
transcript.pyannote[1292].start 6866.45159375
transcript.pyannote[1292].end 6868.74659375
transcript.pyannote[1293].speaker SPEAKER_09
transcript.pyannote[1293].start 6869.28659375
transcript.pyannote[1293].end 6880.12034375
transcript.pyannote[1294].speaker SPEAKER_23
transcript.pyannote[1294].start 6870.04596875
transcript.pyannote[1294].end 6872.27346875
transcript.pyannote[1295].speaker SPEAKER_00
transcript.pyannote[1295].start 6877.36971875
transcript.pyannote[1295].end 6878.12909375
transcript.pyannote[1296].speaker SPEAKER_16
transcript.pyannote[1296].start 6878.12909375
transcript.pyannote[1296].end 6878.97284375
transcript.pyannote[1297].speaker SPEAKER_00
transcript.pyannote[1297].start 6878.97284375
transcript.pyannote[1297].end 6879.02346875
transcript.pyannote[1298].speaker SPEAKER_23
transcript.pyannote[1298].start 6879.02346875
transcript.pyannote[1298].end 6879.34409375
transcript.pyannote[1299].speaker SPEAKER_09
transcript.pyannote[1299].start 6880.27221875
transcript.pyannote[1299].end 6880.71096875
transcript.pyannote[1300].speaker SPEAKER_23
transcript.pyannote[1300].start 6880.71096875
transcript.pyannote[1300].end 6880.72784375
transcript.pyannote[1301].speaker SPEAKER_09
transcript.pyannote[1301].start 6880.77846875
transcript.pyannote[1301].end 6880.84596875
transcript.pyannote[1302].speaker SPEAKER_23
transcript.pyannote[1302].start 6880.84596875
transcript.pyannote[1302].end 6880.89659375
transcript.pyannote[1303].speaker SPEAKER_09
transcript.pyannote[1303].start 6880.89659375
transcript.pyannote[1303].end 6881.01471875
transcript.pyannote[1304].speaker SPEAKER_23
transcript.pyannote[1304].start 6881.01471875
transcript.pyannote[1304].end 6881.03159375
transcript.pyannote[1305].speaker SPEAKER_09
transcript.pyannote[1305].start 6881.03159375
transcript.pyannote[1305].end 6881.13284375
transcript.pyannote[1306].speaker SPEAKER_09
transcript.pyannote[1306].start 6881.26784375
transcript.pyannote[1306].end 6887.35971875
transcript.pyannote[1307].speaker SPEAKER_23
transcript.pyannote[1307].start 6882.31409375
transcript.pyannote[1307].end 6882.56721875
transcript.pyannote[1308].speaker SPEAKER_10
transcript.pyannote[1308].start 6882.56721875
transcript.pyannote[1308].end 6883.74846875
transcript.pyannote[1309].speaker SPEAKER_23
transcript.pyannote[1309].start 6883.74846875
transcript.pyannote[1309].end 6883.83284375
transcript.pyannote[1310].speaker SPEAKER_10
transcript.pyannote[1310].start 6886.48221875
transcript.pyannote[1310].end 6886.49909375
transcript.pyannote[1311].speaker SPEAKER_10
transcript.pyannote[1311].start 6886.66784375
transcript.pyannote[1311].end 6886.85346875
transcript.pyannote[1312].speaker SPEAKER_10
transcript.pyannote[1312].start 6887.41034375
transcript.pyannote[1312].end 6888.22034375
transcript.pyannote[1313].speaker SPEAKER_09
transcript.pyannote[1313].start 6888.27096875
transcript.pyannote[1313].end 6889.31721875
transcript.pyannote[1314].speaker SPEAKER_10
transcript.pyannote[1314].start 6889.84034375
transcript.pyannote[1314].end 6890.17784375
transcript.pyannote[1315].speaker SPEAKER_09
transcript.pyannote[1315].start 6890.51534375
transcript.pyannote[1315].end 6894.68346875
transcript.pyannote[1316].speaker SPEAKER_16
transcript.pyannote[1316].start 6891.29159375
transcript.pyannote[1316].end 6891.49409375
transcript.pyannote[1317].speaker SPEAKER_10
transcript.pyannote[1317].start 6891.49409375
transcript.pyannote[1317].end 6891.56159375
transcript.pyannote[1318].speaker SPEAKER_16
transcript.pyannote[1318].start 6891.56159375
transcript.pyannote[1318].end 6891.96659375
transcript.pyannote[1319].speaker SPEAKER_10
transcript.pyannote[1319].start 6891.96659375
transcript.pyannote[1319].end 6892.03409375
transcript.pyannote[1320].speaker SPEAKER_16
transcript.pyannote[1320].start 6892.03409375
transcript.pyannote[1320].end 6892.60784375
transcript.pyannote[1321].speaker SPEAKER_10
transcript.pyannote[1321].start 6892.60784375
transcript.pyannote[1321].end 6892.72596875
transcript.pyannote[1322].speaker SPEAKER_16
transcript.pyannote[1322].start 6894.93659375
transcript.pyannote[1322].end 6925.86846875
transcript.pyannote[1323].speaker SPEAKER_09
transcript.pyannote[1323].start 6896.89409375
transcript.pyannote[1323].end 6897.26534375
transcript.pyannote[1324].speaker SPEAKER_03
transcript.pyannote[1324].start 6907.15409375
transcript.pyannote[1324].end 6907.30596875
transcript.pyannote[1325].speaker SPEAKER_11
transcript.pyannote[1325].start 6907.30596875
transcript.pyannote[1325].end 6907.32284375
transcript.pyannote[1326].speaker SPEAKER_00
transcript.pyannote[1326].start 6916.11471875
transcript.pyannote[1326].end 6916.24971875
transcript.pyannote[1327].speaker SPEAKER_15
transcript.pyannote[1327].start 6916.24971875
transcript.pyannote[1327].end 6916.70534375
transcript.pyannote[1328].speaker SPEAKER_00
transcript.pyannote[1328].start 6916.70534375
transcript.pyannote[1328].end 6916.87409375
transcript.pyannote[1329].speaker SPEAKER_09
transcript.pyannote[1329].start 6919.92846875
transcript.pyannote[1329].end 6920.04659375
transcript.pyannote[1330].speaker SPEAKER_09
transcript.pyannote[1330].start 6924.67034375
transcript.pyannote[1330].end 6924.92346875
transcript.pyannote[1331].speaker SPEAKER_09
transcript.pyannote[1331].start 6925.86846875
transcript.pyannote[1331].end 6933.81659375
transcript.pyannote[1332].speaker SPEAKER_09
transcript.pyannote[1332].start 6934.42409375
transcript.pyannote[1332].end 6951.33284375
transcript.pyannote[1333].speaker SPEAKER_16
transcript.pyannote[1333].start 6945.84846875
transcript.pyannote[1333].end 6945.91596875
transcript.pyannote[1334].speaker SPEAKER_16
transcript.pyannote[1334].start 6951.33284375
transcript.pyannote[1334].end 7024.18221875
transcript.pyannote[1335].speaker SPEAKER_00
transcript.pyannote[1335].start 6971.32971875
transcript.pyannote[1335].end 6972.03846875
transcript.pyannote[1336].speaker SPEAKER_00
transcript.pyannote[1336].start 6983.46284375
transcript.pyannote[1336].end 6983.47971875
transcript.pyannote[1337].speaker SPEAKER_15
transcript.pyannote[1337].start 6983.47971875
transcript.pyannote[1337].end 6983.53034375
transcript.pyannote[1338].speaker SPEAKER_02
transcript.pyannote[1338].start 6983.53034375
transcript.pyannote[1338].end 6983.68221875
transcript.pyannote[1339].speaker SPEAKER_15
transcript.pyannote[1339].start 6983.68221875
transcript.pyannote[1339].end 6983.76659375
transcript.pyannote[1340].speaker SPEAKER_09
transcript.pyannote[1340].start 7024.90784375
transcript.pyannote[1340].end 7028.41784375
transcript.pyannote[1341].speaker SPEAKER_09
transcript.pyannote[1341].start 7028.73846875
transcript.pyannote[1341].end 7041.79971875
transcript.pyannote[1342].speaker SPEAKER_16
transcript.pyannote[1342].start 7034.27346875
transcript.pyannote[1342].end 7034.77971875
transcript.pyannote[1343].speaker SPEAKER_05
transcript.pyannote[1343].start 7039.04909375
transcript.pyannote[1343].end 7039.13346875
transcript.pyannote[1344].speaker SPEAKER_09
transcript.pyannote[1344].start 7042.05284375
transcript.pyannote[1344].end 7047.43596875
transcript.pyannote[1345].speaker SPEAKER_09
transcript.pyannote[1345].start 7047.94221875
transcript.pyannote[1345].end 7050.49034375
transcript.pyannote[1346].speaker SPEAKER_09
transcript.pyannote[1346].start 7050.87846875
transcript.pyannote[1346].end 7054.05096875
transcript.pyannote[1347].speaker SPEAKER_09
transcript.pyannote[1347].start 7054.54034375
transcript.pyannote[1347].end 7077.72659375
transcript.pyannote[1348].speaker SPEAKER_16
transcript.pyannote[1348].start 7076.20784375
transcript.pyannote[1348].end 7135.72596875
transcript.pyannote[1349].speaker SPEAKER_05
transcript.pyannote[1349].start 7126.20846875
transcript.pyannote[1349].end 7126.30971875
transcript.pyannote[1350].speaker SPEAKER_10
transcript.pyannote[1350].start 7136.24909375
transcript.pyannote[1350].end 7137.76784375
transcript.pyannote[1351].speaker SPEAKER_09
transcript.pyannote[1351].start 7137.76784375
transcript.pyannote[1351].end 7137.95346875
transcript.pyannote[1352].speaker SPEAKER_16
transcript.pyannote[1352].start 7137.95346875
transcript.pyannote[1352].end 7137.97034375
transcript.pyannote[1353].speaker SPEAKER_09
transcript.pyannote[1353].start 7137.97034375
transcript.pyannote[1353].end 7139.10096875
transcript.pyannote[1354].speaker SPEAKER_09
transcript.pyannote[1354].start 7139.33721875
transcript.pyannote[1354].end 7153.00596875
transcript.pyannote[1355].speaker SPEAKER_10
transcript.pyannote[1355].start 7144.70346875
transcript.pyannote[1355].end 7145.05784375
transcript.pyannote[1356].speaker SPEAKER_16
transcript.pyannote[1356].start 7150.57596875
transcript.pyannote[1356].end 7151.01471875
transcript.pyannote[1357].speaker SPEAKER_16
transcript.pyannote[1357].start 7151.75721875
transcript.pyannote[1357].end 7154.25471875
transcript.pyannote[1358].speaker SPEAKER_09
transcript.pyannote[1358].start 7153.49534375
transcript.pyannote[1358].end 7154.62596875
transcript.pyannote[1359].speaker SPEAKER_09
transcript.pyannote[1359].start 7154.86221875
transcript.pyannote[1359].end 7157.34284375
transcript.pyannote[1360].speaker SPEAKER_16
transcript.pyannote[1360].start 7156.88721875
transcript.pyannote[1360].end 7162.75971875
transcript.pyannote[1361].speaker SPEAKER_09
transcript.pyannote[1361].start 7158.45659375
transcript.pyannote[1361].end 7158.65909375
transcript.pyannote[1362].speaker SPEAKER_09
transcript.pyannote[1362].start 7161.59534375
transcript.pyannote[1362].end 7166.21909375
transcript.pyannote[1363].speaker SPEAKER_16
transcript.pyannote[1363].start 7165.37534375
transcript.pyannote[1363].end 7182.19971875
transcript.pyannote[1364].speaker SPEAKER_09
transcript.pyannote[1364].start 7171.21409375
transcript.pyannote[1364].end 7171.24784375
transcript.pyannote[1365].speaker SPEAKER_08
transcript.pyannote[1365].start 7171.24784375
transcript.pyannote[1365].end 7171.70346875
transcript.pyannote[1366].speaker SPEAKER_09
transcript.pyannote[1366].start 7171.70346875
transcript.pyannote[1366].end 7171.93971875
transcript.pyannote[1367].speaker SPEAKER_16
transcript.pyannote[1367].start 7182.43596875
transcript.pyannote[1367].end 7183.98846875
transcript.pyannote[1368].speaker SPEAKER_16
transcript.pyannote[1368].start 7186.78971875
transcript.pyannote[1368].end 7189.55721875
transcript.pyannote[1369].speaker SPEAKER_16
transcript.pyannote[1369].start 7189.74284375
transcript.pyannote[1369].end 7193.97846875
transcript.pyannote[1370].speaker SPEAKER_23
transcript.pyannote[1370].start 7189.91159375
transcript.pyannote[1370].end 7190.55284375
transcript.pyannote[1371].speaker SPEAKER_23
transcript.pyannote[1371].start 7193.97846875
transcript.pyannote[1371].end 7227.69471875
transcript.pyannote[1372].speaker SPEAKER_16
transcript.pyannote[1372].start 7227.45846875
transcript.pyannote[1372].end 7230.63096875
transcript.pyannote[1373].speaker SPEAKER_23
transcript.pyannote[1373].start 7230.31034375
transcript.pyannote[1373].end 7230.86721875
transcript.pyannote[1374].speaker SPEAKER_16
transcript.pyannote[1374].start 7230.64784375
transcript.pyannote[1374].end 7230.66471875
transcript.pyannote[1375].speaker SPEAKER_16
transcript.pyannote[1375].start 7230.86721875
transcript.pyannote[1375].end 7247.18534375
transcript.pyannote[1376].speaker SPEAKER_09
transcript.pyannote[1376].start 7241.65034375
transcript.pyannote[1376].end 7241.85284375
transcript.pyannote[1377].speaker SPEAKER_09
transcript.pyannote[1377].start 7246.57784375
transcript.pyannote[1377].end 7249.12596875
transcript.pyannote[1378].speaker SPEAKER_09
transcript.pyannote[1378].start 7249.31159375
transcript.pyannote[1378].end 7251.55596875
transcript.pyannote[1379].speaker SPEAKER_16
transcript.pyannote[1379].start 7250.98221875
transcript.pyannote[1379].end 7256.46659375
transcript.pyannote[1380].speaker SPEAKER_09
transcript.pyannote[1380].start 7251.70784375
transcript.pyannote[1380].end 7252.61909375
transcript.pyannote[1381].speaker SPEAKER_09
transcript.pyannote[1381].start 7255.45409375
transcript.pyannote[1381].end 7256.38221875
transcript.pyannote[1382].speaker SPEAKER_09
transcript.pyannote[1382].start 7256.46659375
transcript.pyannote[1382].end 7256.48346875
transcript.pyannote[1383].speaker SPEAKER_09
transcript.pyannote[1383].start 7256.80409375
transcript.pyannote[1383].end 7273.03784375
transcript.pyannote[1384].speaker SPEAKER_16
transcript.pyannote[1384].start 7273.03784375
transcript.pyannote[1384].end 7305.67409375
transcript.pyannote[1385].speaker SPEAKER_09
transcript.pyannote[1385].start 7274.06721875
transcript.pyannote[1385].end 7275.97409375
transcript.pyannote[1386].speaker SPEAKER_16
transcript.pyannote[1386].start 7305.89346875
transcript.pyannote[1386].end 7311.39471875
transcript.pyannote[1387].speaker SPEAKER_09
transcript.pyannote[1387].start 7311.76596875
transcript.pyannote[1387].end 7316.65971875
transcript.pyannote[1388].speaker SPEAKER_16
transcript.pyannote[1388].start 7316.54159375
transcript.pyannote[1388].end 7321.03034375
transcript.pyannote[1389].speaker SPEAKER_16
transcript.pyannote[1389].start 7321.21596875
transcript.pyannote[1389].end 7321.23284375
transcript.pyannote[1390].speaker SPEAKER_09
transcript.pyannote[1390].start 7321.23284375
transcript.pyannote[1390].end 7326.02534375
transcript.pyannote[1391].speaker SPEAKER_16
transcript.pyannote[1391].start 7326.02534375
transcript.pyannote[1391].end 7326.04221875
transcript.pyannote[1392].speaker SPEAKER_09
transcript.pyannote[1392].start 7327.74659375
transcript.pyannote[1392].end 7327.76346875
transcript.pyannote[1393].speaker SPEAKER_16
transcript.pyannote[1393].start 7327.76346875
transcript.pyannote[1393].end 7327.78034375
transcript.pyannote[1394].speaker SPEAKER_09
transcript.pyannote[1394].start 7327.78034375
transcript.pyannote[1394].end 7328.15159375
transcript.pyannote[1395].speaker SPEAKER_16
transcript.pyannote[1395].start 7327.89846875
transcript.pyannote[1395].end 7328.21909375
transcript.pyannote[1396].speaker SPEAKER_09
transcript.pyannote[1396].start 7328.21909375
transcript.pyannote[1396].end 7329.02909375
transcript.pyannote[1397].speaker SPEAKER_16
transcript.pyannote[1397].start 7329.02909375
transcript.pyannote[1397].end 7329.51846875
transcript.pyannote[1398].speaker SPEAKER_09
transcript.pyannote[1398].start 7329.51846875
transcript.pyannote[1398].end 7329.67034375
transcript.pyannote[1399].speaker SPEAKER_16
transcript.pyannote[1399].start 7329.67034375
transcript.pyannote[1399].end 7335.35721875
transcript.pyannote[1400].speaker SPEAKER_09
transcript.pyannote[1400].start 7329.73784375
transcript.pyannote[1400].end 7330.86846875
transcript.pyannote[1401].speaker SPEAKER_09
transcript.pyannote[1401].start 7333.68659375
transcript.pyannote[1401].end 7335.30659375
transcript.pyannote[1402].speaker SPEAKER_09
transcript.pyannote[1402].start 7335.72846875
transcript.pyannote[1402].end 7336.45409375
transcript.pyannote[1403].speaker SPEAKER_23
transcript.pyannote[1403].start 7336.45409375
transcript.pyannote[1403].end 7336.97721875
transcript.pyannote[1404].speaker SPEAKER_16
transcript.pyannote[1404].start 7336.97721875
transcript.pyannote[1404].end 7337.07846875
transcript.pyannote[1405].speaker SPEAKER_09
transcript.pyannote[1405].start 7337.43284375
transcript.pyannote[1405].end 7342.88346875
transcript.pyannote[1406].speaker SPEAKER_16
transcript.pyannote[1406].start 7339.52534375
transcript.pyannote[1406].end 7343.47409375
transcript.pyannote[1407].speaker SPEAKER_16
transcript.pyannote[1407].start 7343.99721875
transcript.pyannote[1407].end 7364.58471875
transcript.pyannote[1408].speaker SPEAKER_10
transcript.pyannote[1408].start 7364.97284375
transcript.pyannote[1408].end 7365.04034375
transcript.pyannote[1409].speaker SPEAKER_33
transcript.pyannote[1409].start 7365.91784375
transcript.pyannote[1409].end 7371.70596875
transcript.pyannote[1410].speaker SPEAKER_11
transcript.pyannote[1410].start 7375.31721875
transcript.pyannote[1410].end 7376.98784375
transcript.pyannote[1411].speaker SPEAKER_11
transcript.pyannote[1411].start 7383.45096875
transcript.pyannote[1411].end 7401.62534375
transcript.pyannote[1412].speaker SPEAKER_11
transcript.pyannote[1412].start 7401.97971875
transcript.pyannote[1412].end 7434.37971875
transcript.pyannote[1413].speaker SPEAKER_11
transcript.pyannote[1413].start 7434.80159375
transcript.pyannote[1413].end 7447.86284375
transcript.pyannote[1414].speaker SPEAKER_11
transcript.pyannote[1414].start 7448.28471875
transcript.pyannote[1414].end 7472.06159375
transcript.pyannote[1415].speaker SPEAKER_11
transcript.pyannote[1415].start 7472.21346875
transcript.pyannote[1415].end 7476.76971875
transcript.pyannote[1416].speaker SPEAKER_09
transcript.pyannote[1416].start 7477.09034375
transcript.pyannote[1416].end 7495.34909375
transcript.pyannote[1417].speaker SPEAKER_00
transcript.pyannote[1417].start 7486.82721875
transcript.pyannote[1417].end 7487.28284375
transcript.pyannote[1418].speaker SPEAKER_09
transcript.pyannote[1418].start 7495.61909375
transcript.pyannote[1418].end 7499.34846875
transcript.pyannote[1419].speaker SPEAKER_09
transcript.pyannote[1419].start 7499.77034375
transcript.pyannote[1419].end 7500.73221875
transcript.pyannote[1420].speaker SPEAKER_09
transcript.pyannote[1420].start 7501.18784375
transcript.pyannote[1420].end 7503.14534375
transcript.pyannote[1421].speaker SPEAKER_09
transcript.pyannote[1421].start 7503.39846875
transcript.pyannote[1421].end 7506.50346875
transcript.pyannote[1422].speaker SPEAKER_09
transcript.pyannote[1422].start 7506.94221875
transcript.pyannote[1422].end 7507.48221875
transcript.pyannote[1423].speaker SPEAKER_09
transcript.pyannote[1423].start 7507.75221875
transcript.pyannote[1423].end 7535.24159375
transcript.pyannote[1424].speaker SPEAKER_11
transcript.pyannote[1424].start 7516.24034375
transcript.pyannote[1424].end 7519.56471875
transcript.pyannote[1425].speaker SPEAKER_11
transcript.pyannote[1425].start 7527.61409375
transcript.pyannote[1425].end 7528.42409375
transcript.pyannote[1426].speaker SPEAKER_09
transcript.pyannote[1426].start 7535.76471875
transcript.pyannote[1426].end 7551.03659375
transcript.pyannote[1427].speaker SPEAKER_10
transcript.pyannote[1427].start 7545.11346875
transcript.pyannote[1427].end 7545.40034375
transcript.pyannote[1428].speaker SPEAKER_09
transcript.pyannote[1428].start 7551.30659375
transcript.pyannote[1428].end 7554.86721875
transcript.pyannote[1429].speaker SPEAKER_09
transcript.pyannote[1429].start 7554.98534375
transcript.pyannote[1429].end 7559.27159375
transcript.pyannote[1430].speaker SPEAKER_09
transcript.pyannote[1430].start 7559.67659375
transcript.pyannote[1430].end 7563.00096875
transcript.pyannote[1431].speaker SPEAKER_09
transcript.pyannote[1431].start 7563.10221875
transcript.pyannote[1431].end 7564.45221875
transcript.pyannote[1432].speaker SPEAKER_09
transcript.pyannote[1432].start 7565.12721875
transcript.pyannote[1432].end 7569.02534375
transcript.pyannote[1433].speaker SPEAKER_11
transcript.pyannote[1433].start 7569.02534375
transcript.pyannote[1433].end 7578.74534375
transcript.pyannote[1434].speaker SPEAKER_11
transcript.pyannote[1434].start 7579.08284375
transcript.pyannote[1434].end 7605.35721875
transcript.pyannote[1435].speaker SPEAKER_11
transcript.pyannote[1435].start 7605.91409375
transcript.pyannote[1435].end 7611.43221875
transcript.pyannote[1436].speaker SPEAKER_11
transcript.pyannote[1436].start 7611.93846875
transcript.pyannote[1436].end 7612.37721875
transcript.pyannote[1437].speaker SPEAKER_11
transcript.pyannote[1437].start 7612.98471875
transcript.pyannote[1437].end 7617.87846875
transcript.pyannote[1438].speaker SPEAKER_05
transcript.pyannote[1438].start 7618.11471875
transcript.pyannote[1438].end 7618.45221875
transcript.pyannote[1439].speaker SPEAKER_11
transcript.pyannote[1439].start 7618.35096875
transcript.pyannote[1439].end 7626.41721875
transcript.pyannote[1440].speaker SPEAKER_05
transcript.pyannote[1440].start 7626.36659375
transcript.pyannote[1440].end 7626.65346875
transcript.pyannote[1441].speaker SPEAKER_11
transcript.pyannote[1441].start 7626.51846875
transcript.pyannote[1441].end 7632.12096875
transcript.pyannote[1442].speaker SPEAKER_05
transcript.pyannote[1442].start 7627.76721875
transcript.pyannote[1442].end 7627.80096875
transcript.pyannote[1443].speaker SPEAKER_09
transcript.pyannote[1443].start 7627.80096875
transcript.pyannote[1443].end 7628.29034375
transcript.pyannote[1444].speaker SPEAKER_09
transcript.pyannote[1444].start 7629.08346875
transcript.pyannote[1444].end 7629.97784375
transcript.pyannote[1445].speaker SPEAKER_09
transcript.pyannote[1445].start 7631.05784375
transcript.pyannote[1445].end 7634.80409375
transcript.pyannote[1446].speaker SPEAKER_09
transcript.pyannote[1446].start 7635.07409375
transcript.pyannote[1446].end 7640.44034375
transcript.pyannote[1447].speaker SPEAKER_09
transcript.pyannote[1447].start 7640.67659375
transcript.pyannote[1447].end 7647.98346875
transcript.pyannote[1448].speaker SPEAKER_11
transcript.pyannote[1448].start 7646.75159375
transcript.pyannote[1448].end 7654.96971875
transcript.pyannote[1449].speaker SPEAKER_23
transcript.pyannote[1449].start 7652.23596875
transcript.pyannote[1449].end 7653.13034375
transcript.pyannote[1450].speaker SPEAKER_23
transcript.pyannote[1450].start 7654.58159375
transcript.pyannote[1450].end 7656.28596875
transcript.pyannote[1451].speaker SPEAKER_11
transcript.pyannote[1451].start 7655.03721875
transcript.pyannote[1451].end 7655.40846875
transcript.pyannote[1452].speaker SPEAKER_23
transcript.pyannote[1452].start 7656.79221875
transcript.pyannote[1452].end 7668.77346875
transcript.pyannote[1453].speaker SPEAKER_05
transcript.pyannote[1453].start 7657.85534375
transcript.pyannote[1453].end 7658.32784375
transcript.pyannote[1454].speaker SPEAKER_00
transcript.pyannote[1454].start 7666.49534375
transcript.pyannote[1454].end 7667.00159375
transcript.pyannote[1455].speaker SPEAKER_23
transcript.pyannote[1455].start 7669.22909375
transcript.pyannote[1455].end 7691.85846875
transcript.pyannote[1456].speaker SPEAKER_23
transcript.pyannote[1456].start 7692.41534375
transcript.pyannote[1456].end 7703.14784375
transcript.pyannote[1457].speaker SPEAKER_11
transcript.pyannote[1457].start 7700.75159375
transcript.pyannote[1457].end 7701.59534375
transcript.pyannote[1458].speaker SPEAKER_11
transcript.pyannote[1458].start 7702.94534375
transcript.pyannote[1458].end 7705.59471875
transcript.pyannote[1459].speaker SPEAKER_23
transcript.pyannote[1459].start 7703.18159375
transcript.pyannote[1459].end 7703.23221875
transcript.pyannote[1460].speaker SPEAKER_11
transcript.pyannote[1460].start 7705.78034375
transcript.pyannote[1460].end 7711.66971875
transcript.pyannote[1461].speaker SPEAKER_09
transcript.pyannote[1461].start 7711.41659375
transcript.pyannote[1461].end 7716.12471875
transcript.pyannote[1462].speaker SPEAKER_11
transcript.pyannote[1462].start 7713.35721875
transcript.pyannote[1462].end 7716.09096875
transcript.pyannote[1463].speaker SPEAKER_11
transcript.pyannote[1463].start 7716.12471875
transcript.pyannote[1463].end 7716.14159375
transcript.pyannote[1464].speaker SPEAKER_09
transcript.pyannote[1464].start 7716.14159375
transcript.pyannote[1464].end 7716.36096875
transcript.pyannote[1465].speaker SPEAKER_11
transcript.pyannote[1465].start 7716.36096875
transcript.pyannote[1465].end 7722.82409375
transcript.pyannote[1466].speaker SPEAKER_09
transcript.pyannote[1466].start 7716.42846875
transcript.pyannote[1466].end 7718.36909375
transcript.pyannote[1467].speaker SPEAKER_10
transcript.pyannote[1467].start 7718.36909375
transcript.pyannote[1467].end 7718.40284375
transcript.pyannote[1468].speaker SPEAKER_10
transcript.pyannote[1468].start 7719.71909375
transcript.pyannote[1468].end 7720.02284375
transcript.pyannote[1469].speaker SPEAKER_09
transcript.pyannote[1469].start 7720.02284375
transcript.pyannote[1469].end 7720.66409375
transcript.pyannote[1470].speaker SPEAKER_10
transcript.pyannote[1470].start 7720.66409375
transcript.pyannote[1470].end 7724.10659375
transcript.pyannote[1471].speaker SPEAKER_11
transcript.pyannote[1471].start 7723.19534375
transcript.pyannote[1471].end 7735.05846875
transcript.pyannote[1472].speaker SPEAKER_11
transcript.pyannote[1472].start 7735.58159375
transcript.pyannote[1472].end 7758.16034375
transcript.pyannote[1473].speaker SPEAKER_11
transcript.pyannote[1473].start 7758.22784375
transcript.pyannote[1473].end 7764.26909375
transcript.pyannote[1474].speaker SPEAKER_11
transcript.pyannote[1474].start 7764.58971875
transcript.pyannote[1474].end 7784.04659375
transcript.pyannote[1475].speaker SPEAKER_11
transcript.pyannote[1475].start 7784.40096875
transcript.pyannote[1475].end 7787.55659375
transcript.pyannote[1476].speaker SPEAKER_11
transcript.pyannote[1476].start 7787.92784375
transcript.pyannote[1476].end 7820.44596875
transcript.pyannote[1477].speaker SPEAKER_00
transcript.pyannote[1477].start 7807.18221875
transcript.pyannote[1477].end 7807.51971875
transcript.pyannote[1478].speaker SPEAKER_00
transcript.pyannote[1478].start 7808.29596875
transcript.pyannote[1478].end 7808.38034375
transcript.pyannote[1479].speaker SPEAKER_11
transcript.pyannote[1479].start 7820.56409375
transcript.pyannote[1479].end 7831.17846875
transcript.pyannote[1480].speaker SPEAKER_11
transcript.pyannote[1480].start 7831.60034375
transcript.pyannote[1480].end 7845.40409375
transcript.pyannote[1481].speaker SPEAKER_10
transcript.pyannote[1481].start 7845.85971875
transcript.pyannote[1481].end 7846.18034375
transcript.pyannote[1482].speaker SPEAKER_11
transcript.pyannote[1482].start 7847.07471875
transcript.pyannote[1482].end 7850.87159375
transcript.pyannote[1483].speaker SPEAKER_11
transcript.pyannote[1483].start 7850.95596875
transcript.pyannote[1483].end 7851.02346875
transcript.pyannote[1484].speaker SPEAKER_11
transcript.pyannote[1484].start 7851.09096875
transcript.pyannote[1484].end 7852.93034375
transcript.pyannote[1485].speaker SPEAKER_09
transcript.pyannote[1485].start 7853.79096875
transcript.pyannote[1485].end 7855.39409375
transcript.pyannote[1486].speaker SPEAKER_09
transcript.pyannote[1486].start 7855.73159375
transcript.pyannote[1486].end 7857.19971875
transcript.pyannote[1487].speaker SPEAKER_09
transcript.pyannote[1487].start 7857.53721875
transcript.pyannote[1487].end 7861.09784375
transcript.pyannote[1488].speaker SPEAKER_09
transcript.pyannote[1488].start 7861.33409375
transcript.pyannote[1488].end 7862.16096875
transcript.pyannote[1489].speaker SPEAKER_09
transcript.pyannote[1489].start 7862.39721875
transcript.pyannote[1489].end 7866.56534375
transcript.pyannote[1490].speaker SPEAKER_09
transcript.pyannote[1490].start 7866.68346875
transcript.pyannote[1490].end 7876.23471875
transcript.pyannote[1491].speaker SPEAKER_10
transcript.pyannote[1491].start 7868.70846875
transcript.pyannote[1491].end 7869.14721875
transcript.pyannote[1492].speaker SPEAKER_09
transcript.pyannote[1492].start 7876.58909375
transcript.pyannote[1492].end 7899.50534375
transcript.pyannote[1493].speaker SPEAKER_08
transcript.pyannote[1493].start 7878.39471875
transcript.pyannote[1493].end 7878.85034375
transcript.pyannote[1494].speaker SPEAKER_05
transcript.pyannote[1494].start 7899.50534375
transcript.pyannote[1494].end 7899.72471875
transcript.pyannote[1495].speaker SPEAKER_09
transcript.pyannote[1495].start 7899.72471875
transcript.pyannote[1495].end 7910.57534375
transcript.pyannote[1496].speaker SPEAKER_10
transcript.pyannote[1496].start 7910.52471875
transcript.pyannote[1496].end 7910.89596875
transcript.pyannote[1497].speaker SPEAKER_09
transcript.pyannote[1497].start 7910.81159375
transcript.pyannote[1497].end 7914.65909375
transcript.pyannote[1498].speaker SPEAKER_09
transcript.pyannote[1498].start 7914.89534375
transcript.pyannote[1498].end 7921.29096875
transcript.pyannote[1499].speaker SPEAKER_09
transcript.pyannote[1499].start 7921.61159375
transcript.pyannote[1499].end 7924.86846875
transcript.pyannote[1500].speaker SPEAKER_09
transcript.pyannote[1500].start 7924.91909375
transcript.pyannote[1500].end 7925.57721875
transcript.pyannote[1501].speaker SPEAKER_09
transcript.pyannote[1501].start 7926.11721875
transcript.pyannote[1501].end 7931.80409375
transcript.pyannote[1502].speaker SPEAKER_10
transcript.pyannote[1502].start 7931.80409375
transcript.pyannote[1502].end 7932.22596875
transcript.pyannote[1503].speaker SPEAKER_09
transcript.pyannote[1503].start 7931.82096875
transcript.pyannote[1503].end 7931.83784375
transcript.pyannote[1504].speaker SPEAKER_09
transcript.pyannote[1504].start 7932.14159375
transcript.pyannote[1504].end 7933.27221875
transcript.pyannote[1505].speaker SPEAKER_09
transcript.pyannote[1505].start 7933.50846875
transcript.pyannote[1505].end 7937.79471875
transcript.pyannote[1506].speaker SPEAKER_09
transcript.pyannote[1506].start 7937.99721875
transcript.pyannote[1506].end 7951.10909375
transcript.pyannote[1507].speaker SPEAKER_10
transcript.pyannote[1507].start 7939.02659375
transcript.pyannote[1507].end 7940.05596875
transcript.pyannote[1508].speaker SPEAKER_00
transcript.pyannote[1508].start 7940.05596875
transcript.pyannote[1508].end 7940.07284375
transcript.pyannote[1509].speaker SPEAKER_10
transcript.pyannote[1509].start 7944.83159375
transcript.pyannote[1509].end 7945.25346875
transcript.pyannote[1510].speaker SPEAKER_10
transcript.pyannote[1510].start 7945.33784375
transcript.pyannote[1510].end 7945.42221875
transcript.pyannote[1511].speaker SPEAKER_10
transcript.pyannote[1511].start 7950.29909375
transcript.pyannote[1511].end 7950.31596875
transcript.pyannote[1512].speaker SPEAKER_10
transcript.pyannote[1512].start 7950.50159375
transcript.pyannote[1512].end 7950.61971875
transcript.pyannote[1513].speaker SPEAKER_05
transcript.pyannote[1513].start 7950.61971875
transcript.pyannote[1513].end 7950.63659375
transcript.pyannote[1514].speaker SPEAKER_09
transcript.pyannote[1514].start 7951.27784375
transcript.pyannote[1514].end 7963.32659375
transcript.pyannote[1515].speaker SPEAKER_05
transcript.pyannote[1515].start 7953.62346875
transcript.pyannote[1515].end 7953.99471875
transcript.pyannote[1516].speaker SPEAKER_11
transcript.pyannote[1516].start 7963.32659375
transcript.pyannote[1516].end 7963.64721875
transcript.pyannote[1517].speaker SPEAKER_09
transcript.pyannote[1517].start 7963.34346875
transcript.pyannote[1517].end 7963.59659375
transcript.pyannote[1518].speaker SPEAKER_09
transcript.pyannote[1518].start 7963.64721875
transcript.pyannote[1518].end 7963.78221875
transcript.pyannote[1519].speaker SPEAKER_11
transcript.pyannote[1519].start 7963.78221875
transcript.pyannote[1519].end 7994.34284375
transcript.pyannote[1520].speaker SPEAKER_11
transcript.pyannote[1520].start 7995.05159375
transcript.pyannote[1520].end 8001.76784375
transcript.pyannote[1521].speaker SPEAKER_11
transcript.pyannote[1521].start 8002.37534375
transcript.pyannote[1521].end 8018.45721875
transcript.pyannote[1522].speaker SPEAKER_11
transcript.pyannote[1522].start 8018.76096875
transcript.pyannote[1522].end 8020.16159375
transcript.pyannote[1523].speaker SPEAKER_16
transcript.pyannote[1523].start 8020.26284375
transcript.pyannote[1523].end 8020.46534375
transcript.pyannote[1524].speaker SPEAKER_11
transcript.pyannote[1524].start 8020.46534375
transcript.pyannote[1524].end 8028.31221875
transcript.pyannote[1525].speaker SPEAKER_16
transcript.pyannote[1525].start 8020.48221875
transcript.pyannote[1525].end 8020.53284375
transcript.pyannote[1526].speaker SPEAKER_11
transcript.pyannote[1526].start 8028.68346875
transcript.pyannote[1526].end 8041.17096875
transcript.pyannote[1527].speaker SPEAKER_05
transcript.pyannote[1527].start 8038.11659375
transcript.pyannote[1527].end 8038.21784375
transcript.pyannote[1528].speaker SPEAKER_09
transcript.pyannote[1528].start 8038.21784375
transcript.pyannote[1528].end 8038.28534375
transcript.pyannote[1529].speaker SPEAKER_05
transcript.pyannote[1529].start 8038.28534375
transcript.pyannote[1529].end 8038.38659375
transcript.pyannote[1530].speaker SPEAKER_09
transcript.pyannote[1530].start 8041.69409375
transcript.pyannote[1530].end 8060.79659375
transcript.pyannote[1531].speaker SPEAKER_09
transcript.pyannote[1531].start 8061.25221875
transcript.pyannote[1531].end 8073.03096875
transcript.pyannote[1532].speaker SPEAKER_09
transcript.pyannote[1532].start 8073.23346875
transcript.pyannote[1532].end 8077.77284375
transcript.pyannote[1533].speaker SPEAKER_05
transcript.pyannote[1533].start 8075.10659375
transcript.pyannote[1533].end 8076.67596875
transcript.pyannote[1534].speaker SPEAKER_09
transcript.pyannote[1534].start 8078.22846875
transcript.pyannote[1534].end 8086.68284375
transcript.pyannote[1535].speaker SPEAKER_11
transcript.pyannote[1535].start 8084.45534375
transcript.pyannote[1535].end 8085.04596875
transcript.pyannote[1536].speaker SPEAKER_11
transcript.pyannote[1536].start 8086.05846875
transcript.pyannote[1536].end 8088.11721875
transcript.pyannote[1537].speaker SPEAKER_09
transcript.pyannote[1537].start 8087.42534375
transcript.pyannote[1537].end 8101.02659375
transcript.pyannote[1538].speaker SPEAKER_10
transcript.pyannote[1538].start 8094.39471875
transcript.pyannote[1538].end 8094.51284375
transcript.pyannote[1539].speaker SPEAKER_10
transcript.pyannote[1539].start 8097.56721875
transcript.pyannote[1539].end 8097.65159375
transcript.pyannote[1540].speaker SPEAKER_11
transcript.pyannote[1540].start 8101.02659375
transcript.pyannote[1540].end 8102.57909375
transcript.pyannote[1541].speaker SPEAKER_09
transcript.pyannote[1541].start 8102.19096875
transcript.pyannote[1541].end 8102.20784375
transcript.pyannote[1542].speaker SPEAKER_10
transcript.pyannote[1542].start 8102.20784375
transcript.pyannote[1542].end 8102.88284375
transcript.pyannote[1543].speaker SPEAKER_11
transcript.pyannote[1543].start 8102.88284375
transcript.pyannote[1543].end 8120.43284375
transcript.pyannote[1544].speaker SPEAKER_05
transcript.pyannote[1544].start 8116.48409375
transcript.pyannote[1544].end 8116.83846875
transcript.pyannote[1545].speaker SPEAKER_05
transcript.pyannote[1545].start 8118.07034375
transcript.pyannote[1545].end 8118.15471875
transcript.pyannote[1546].speaker SPEAKER_32
transcript.pyannote[1546].start 8118.15471875
transcript.pyannote[1546].end 8118.50909375
transcript.pyannote[1547].speaker SPEAKER_05
transcript.pyannote[1547].start 8118.50909375
transcript.pyannote[1547].end 8118.66096875
transcript.pyannote[1548].speaker SPEAKER_09
transcript.pyannote[1548].start 8119.03221875
transcript.pyannote[1548].end 8119.35284375
transcript.pyannote[1549].speaker SPEAKER_32
transcript.pyannote[1549].start 8121.22596875
transcript.pyannote[1549].end 8124.90471875
transcript.pyannote[1550].speaker SPEAKER_05
transcript.pyannote[1550].start 8128.22909375
transcript.pyannote[1550].end 8129.17409375
transcript.pyannote[1551].speaker SPEAKER_05
transcript.pyannote[1551].start 8129.19096875
transcript.pyannote[1551].end 8131.87409375
transcript.pyannote[1552].speaker SPEAKER_11
transcript.pyannote[1552].start 8135.23221875
transcript.pyannote[1552].end 8137.88159375
transcript.pyannote[1553].speaker SPEAKER_31
transcript.pyannote[1553].start 8145.50909375
transcript.pyannote[1553].end 8148.00659375
transcript.pyannote[1554].speaker SPEAKER_11
transcript.pyannote[1554].start 8148.15846875
transcript.pyannote[1554].end 8149.91346875
transcript.pyannote[1555].speaker SPEAKER_31
transcript.pyannote[1555].start 8153.25471875
transcript.pyannote[1555].end 8154.80721875
transcript.pyannote[1556].speaker SPEAKER_11
transcript.pyannote[1556].start 8153.99721875
transcript.pyannote[1556].end 8154.50346875
transcript.pyannote[1557].speaker SPEAKER_31
transcript.pyannote[1557].start 8155.63409375
transcript.pyannote[1557].end 8157.89534375
transcript.pyannote[1558].speaker SPEAKER_31
transcript.pyannote[1558].start 8158.38471875
transcript.pyannote[1558].end 8159.14409375
transcript.pyannote[1559].speaker SPEAKER_31
transcript.pyannote[1559].start 8159.27909375
transcript.pyannote[1559].end 8162.70471875
transcript.pyannote[1560].speaker SPEAKER_31
transcript.pyannote[1560].start 8163.16034375
transcript.pyannote[1560].end 8163.68346875
transcript.pyannote[1561].speaker SPEAKER_31
transcript.pyannote[1561].start 8163.76784375
transcript.pyannote[1561].end 8165.72534375
transcript.pyannote[1562].speaker SPEAKER_31
transcript.pyannote[1562].start 8166.06284375
transcript.pyannote[1562].end 8168.81346875
transcript.pyannote[1563].speaker SPEAKER_31
transcript.pyannote[1563].start 8169.23534375
transcript.pyannote[1563].end 8184.87846875
transcript.pyannote[1564].speaker SPEAKER_31
transcript.pyannote[1564].start 8185.21596875
transcript.pyannote[1564].end 8190.53159375
transcript.pyannote[1565].speaker SPEAKER_31
transcript.pyannote[1565].start 8190.70034375
transcript.pyannote[1565].end 8193.41721875
transcript.pyannote[1566].speaker SPEAKER_31
transcript.pyannote[1566].start 8193.51846875
transcript.pyannote[1566].end 8195.35784375
transcript.pyannote[1567].speaker SPEAKER_31
transcript.pyannote[1567].start 8195.37471875
transcript.pyannote[1567].end 8205.90471875
transcript.pyannote[1568].speaker SPEAKER_05
transcript.pyannote[1568].start 8195.71221875
transcript.pyannote[1568].end 8195.79659375
transcript.pyannote[1569].speaker SPEAKER_31
transcript.pyannote[1569].start 8206.03971875
transcript.pyannote[1569].end 8210.89971875
transcript.pyannote[1570].speaker SPEAKER_09
transcript.pyannote[1570].start 8211.43971875
transcript.pyannote[1570].end 8211.72659375
transcript.pyannote[1571].speaker SPEAKER_09
transcript.pyannote[1571].start 8212.24971875
transcript.pyannote[1571].end 8215.30409375
transcript.pyannote[1572].speaker SPEAKER_09
transcript.pyannote[1572].start 8215.59096875
transcript.pyannote[1572].end 8215.70909375
transcript.pyannote[1573].speaker SPEAKER_23
transcript.pyannote[1573].start 8215.70909375
transcript.pyannote[1573].end 8220.92346875
transcript.pyannote[1574].speaker SPEAKER_09
transcript.pyannote[1574].start 8215.87784375
transcript.pyannote[1574].end 8215.92846875
transcript.pyannote[1575].speaker SPEAKER_31
transcript.pyannote[1575].start 8215.92846875
transcript.pyannote[1575].end 8216.24909375
transcript.pyannote[1576].speaker SPEAKER_00
transcript.pyannote[1576].start 8216.24909375
transcript.pyannote[1576].end 8216.35034375
transcript.pyannote[1577].speaker SPEAKER_23
transcript.pyannote[1577].start 8220.97409375
transcript.pyannote[1577].end 8234.96346875
transcript.pyannote[1578].speaker SPEAKER_09
transcript.pyannote[1578].start 8223.52221875
transcript.pyannote[1578].end 8223.70784375
transcript.pyannote[1579].speaker SPEAKER_00
transcript.pyannote[1579].start 8223.70784375
transcript.pyannote[1579].end 8223.77534375
transcript.pyannote[1580].speaker SPEAKER_00
transcript.pyannote[1580].start 8228.95596875
transcript.pyannote[1580].end 8228.97284375
transcript.pyannote[1581].speaker SPEAKER_31
transcript.pyannote[1581].start 8228.97284375
transcript.pyannote[1581].end 8229.24284375
transcript.pyannote[1582].speaker SPEAKER_31
transcript.pyannote[1582].start 8233.25909375
transcript.pyannote[1582].end 8234.44034375
transcript.pyannote[1583].speaker SPEAKER_31
transcript.pyannote[1583].start 8234.57534375
transcript.pyannote[1583].end 8243.16471875
transcript.pyannote[1584].speaker SPEAKER_05
transcript.pyannote[1584].start 8243.16471875
transcript.pyannote[1584].end 8243.51909375
transcript.pyannote[1585].speaker SPEAKER_31
transcript.pyannote[1585].start 8243.45159375
transcript.pyannote[1585].end 8253.82971875
transcript.pyannote[1586].speaker SPEAKER_05
transcript.pyannote[1586].start 8244.91971875
transcript.pyannote[1586].end 8245.76346875
transcript.pyannote[1587].speaker SPEAKER_23
transcript.pyannote[1587].start 8253.82971875
transcript.pyannote[1587].end 8256.49596875
transcript.pyannote[1588].speaker SPEAKER_31
transcript.pyannote[1588].start 8254.45409375
transcript.pyannote[1588].end 8254.67346875
transcript.pyannote[1589].speaker SPEAKER_23
transcript.pyannote[1589].start 8257.64346875
transcript.pyannote[1589].end 8276.02034375
transcript.pyannote[1590].speaker SPEAKER_31
transcript.pyannote[1590].start 8261.17034375
transcript.pyannote[1590].end 8261.54159375
transcript.pyannote[1591].speaker SPEAKER_31
transcript.pyannote[1591].start 8272.37534375
transcript.pyannote[1591].end 8272.59471875
transcript.pyannote[1592].speaker SPEAKER_31
transcript.pyannote[1592].start 8273.38784375
transcript.pyannote[1592].end 8297.95784375
transcript.pyannote[1593].speaker SPEAKER_31
transcript.pyannote[1593].start 8298.29534375
transcript.pyannote[1593].end 8306.95221875
transcript.pyannote[1594].speaker SPEAKER_05
transcript.pyannote[1594].start 8306.95221875
transcript.pyannote[1594].end 8307.22221875
transcript.pyannote[1595].speaker SPEAKER_31
transcript.pyannote[1595].start 8307.22221875
transcript.pyannote[1595].end 8312.68971875
transcript.pyannote[1596].speaker SPEAKER_05
transcript.pyannote[1596].start 8307.23909375
transcript.pyannote[1596].end 8307.27284375
transcript.pyannote[1597].speaker SPEAKER_31
transcript.pyannote[1597].start 8313.16221875
transcript.pyannote[1597].end 8313.56721875
transcript.pyannote[1598].speaker SPEAKER_31
transcript.pyannote[1598].start 8313.85409375
transcript.pyannote[1598].end 8317.07721875
transcript.pyannote[1599].speaker SPEAKER_31
transcript.pyannote[1599].start 8317.80284375
transcript.pyannote[1599].end 8324.26596875
transcript.pyannote[1600].speaker SPEAKER_31
transcript.pyannote[1600].start 8324.48534375
transcript.pyannote[1600].end 8327.79284375
transcript.pyannote[1601].speaker SPEAKER_31
transcript.pyannote[1601].start 8327.92784375
transcript.pyannote[1601].end 8332.26471875
transcript.pyannote[1602].speaker SPEAKER_31
transcript.pyannote[1602].start 8332.48409375
transcript.pyannote[1602].end 8339.16659375
transcript.pyannote[1603].speaker SPEAKER_23
transcript.pyannote[1603].start 8339.16659375
transcript.pyannote[1603].end 8339.35221875
transcript.pyannote[1604].speaker SPEAKER_23
transcript.pyannote[1604].start 8340.07784375
transcript.pyannote[1604].end 8354.62409375
transcript.pyannote[1605].speaker SPEAKER_31
transcript.pyannote[1605].start 8341.61346875
transcript.pyannote[1605].end 8341.74846875
transcript.pyannote[1606].speaker SPEAKER_00
transcript.pyannote[1606].start 8345.42721875
transcript.pyannote[1606].end 8345.56221875
transcript.pyannote[1607].speaker SPEAKER_05
transcript.pyannote[1607].start 8346.42284375
transcript.pyannote[1607].end 8346.49034375
transcript.pyannote[1608].speaker SPEAKER_31
transcript.pyannote[1608].start 8346.49034375
transcript.pyannote[1608].end 8346.77721875
transcript.pyannote[1609].speaker SPEAKER_31
transcript.pyannote[1609].start 8348.31284375
transcript.pyannote[1609].end 8348.49846875
transcript.pyannote[1610].speaker SPEAKER_00
transcript.pyannote[1610].start 8349.78096875
transcript.pyannote[1610].end 8349.79784375
transcript.pyannote[1611].speaker SPEAKER_31
transcript.pyannote[1611].start 8349.79784375
transcript.pyannote[1611].end 8350.23659375
transcript.pyannote[1612].speaker SPEAKER_31
transcript.pyannote[1612].start 8353.47659375
transcript.pyannote[1612].end 8353.99971875
transcript.pyannote[1613].speaker SPEAKER_31
transcript.pyannote[1613].start 8354.06721875
transcript.pyannote[1613].end 8374.31721875
transcript.pyannote[1614].speaker SPEAKER_23
transcript.pyannote[1614].start 8373.92909375
transcript.pyannote[1614].end 8395.69784375
transcript.pyannote[1615].speaker SPEAKER_31
transcript.pyannote[1615].start 8375.86971875
transcript.pyannote[1615].end 8376.05534375
transcript.pyannote[1616].speaker SPEAKER_23
transcript.pyannote[1616].start 8395.88346875
transcript.pyannote[1616].end 8399.03909375
transcript.pyannote[1617].speaker SPEAKER_31
transcript.pyannote[1617].start 8399.03909375
transcript.pyannote[1617].end 8412.37034375
transcript.pyannote[1618].speaker SPEAKER_23
transcript.pyannote[1618].start 8412.30284375
transcript.pyannote[1618].end 8412.31971875
transcript.pyannote[1619].speaker SPEAKER_23
transcript.pyannote[1619].start 8412.33659375
transcript.pyannote[1619].end 8412.55596875
transcript.pyannote[1620].speaker SPEAKER_31
transcript.pyannote[1620].start 8412.55596875
transcript.pyannote[1620].end 8415.28971875
transcript.pyannote[1621].speaker SPEAKER_23
transcript.pyannote[1621].start 8415.99846875
transcript.pyannote[1621].end 8417.11221875
transcript.pyannote[1622].speaker SPEAKER_23
transcript.pyannote[1622].start 8418.36096875
transcript.pyannote[1622].end 8421.22971875
transcript.pyannote[1623].speaker SPEAKER_23
transcript.pyannote[1623].start 8421.68534375
transcript.pyannote[1623].end 8435.79284375
transcript.pyannote[1624].speaker SPEAKER_31
transcript.pyannote[1624].start 8434.51034375
transcript.pyannote[1624].end 8439.77534375
transcript.pyannote[1625].speaker SPEAKER_23
transcript.pyannote[1625].start 8439.77534375
transcript.pyannote[1625].end 8439.79221875
transcript.pyannote[1626].speaker SPEAKER_31
transcript.pyannote[1626].start 8439.79221875
transcript.pyannote[1626].end 8440.02846875
transcript.pyannote[1627].speaker SPEAKER_23
transcript.pyannote[1627].start 8440.02846875
transcript.pyannote[1627].end 8451.26721875
transcript.pyannote[1628].speaker SPEAKER_31
transcript.pyannote[1628].start 8448.68534375
transcript.pyannote[1628].end 8449.10721875
transcript.pyannote[1629].speaker SPEAKER_31
transcript.pyannote[1629].start 8449.88346875
transcript.pyannote[1629].end 8454.97971875
transcript.pyannote[1630].speaker SPEAKER_23
transcript.pyannote[1630].start 8454.97971875
transcript.pyannote[1630].end 8455.03034375
transcript.pyannote[1631].speaker SPEAKER_05
transcript.pyannote[1631].start 8455.03034375
transcript.pyannote[1631].end 8455.85721875
transcript.pyannote[1632].speaker SPEAKER_31
transcript.pyannote[1632].start 8455.30034375
transcript.pyannote[1632].end 8461.05471875
transcript.pyannote[1633].speaker SPEAKER_05
transcript.pyannote[1633].start 8455.95846875
transcript.pyannote[1633].end 8456.26221875
transcript.pyannote[1634].speaker SPEAKER_23
transcript.pyannote[1634].start 8456.26221875
transcript.pyannote[1634].end 8456.29596875
transcript.pyannote[1635].speaker SPEAKER_31
transcript.pyannote[1635].start 8461.51034375
transcript.pyannote[1635].end 8463.68721875
transcript.pyannote[1636].speaker SPEAKER_07
transcript.pyannote[1636].start 8461.96596875
transcript.pyannote[1636].end 8464.39596875
transcript.pyannote[1637].speaker SPEAKER_31
transcript.pyannote[1637].start 8464.54784375
transcript.pyannote[1637].end 8465.25659375
transcript.pyannote[1638].speaker SPEAKER_07
transcript.pyannote[1638].start 8465.12159375
transcript.pyannote[1638].end 8465.81346875
transcript.pyannote[1639].speaker SPEAKER_31
transcript.pyannote[1639].start 8465.47596875
transcript.pyannote[1639].end 8476.25909375
transcript.pyannote[1640].speaker SPEAKER_31
transcript.pyannote[1640].start 8476.56284375
transcript.pyannote[1640].end 8481.35534375
transcript.pyannote[1641].speaker SPEAKER_31
transcript.pyannote[1641].start 8481.50721875
transcript.pyannote[1641].end 8482.28346875
transcript.pyannote[1642].speaker SPEAKER_05
transcript.pyannote[1642].start 8482.28346875
transcript.pyannote[1642].end 8482.41846875
transcript.pyannote[1643].speaker SPEAKER_31
transcript.pyannote[1643].start 8482.41846875
transcript.pyannote[1643].end 8492.02034375
transcript.pyannote[1644].speaker SPEAKER_05
transcript.pyannote[1644].start 8482.48596875
transcript.pyannote[1644].end 8482.50284375
transcript.pyannote[1645].speaker SPEAKER_31
transcript.pyannote[1645].start 8492.35784375
transcript.pyannote[1645].end 8496.20534375
transcript.pyannote[1646].speaker SPEAKER_31
transcript.pyannote[1646].start 8496.55971875
transcript.pyannote[1646].end 8497.94346875
transcript.pyannote[1647].speaker SPEAKER_31
transcript.pyannote[1647].start 8498.34846875
transcript.pyannote[1647].end 8499.96846875
transcript.pyannote[1648].speaker SPEAKER_23
transcript.pyannote[1648].start 8500.18784375
transcript.pyannote[1648].end 8500.22159375
transcript.pyannote[1649].speaker SPEAKER_31
transcript.pyannote[1649].start 8500.22159375
transcript.pyannote[1649].end 8503.46159375
transcript.pyannote[1650].speaker SPEAKER_31
transcript.pyannote[1650].start 8503.79909375
transcript.pyannote[1650].end 8503.81596875
transcript.pyannote[1651].speaker SPEAKER_23
transcript.pyannote[1651].start 8503.81596875
transcript.pyannote[1651].end 8521.07909375
transcript.pyannote[1652].speaker SPEAKER_31
transcript.pyannote[1652].start 8504.44034375
transcript.pyannote[1652].end 8504.82846875
transcript.pyannote[1653].speaker SPEAKER_00
transcript.pyannote[1653].start 8511.66284375
transcript.pyannote[1653].end 8511.91596875
transcript.pyannote[1654].speaker SPEAKER_31
transcript.pyannote[1654].start 8519.84721875
transcript.pyannote[1654].end 8532.40221875
transcript.pyannote[1655].speaker SPEAKER_31
transcript.pyannote[1655].start 8532.75659375
transcript.pyannote[1655].end 8539.65846875
transcript.pyannote[1656].speaker SPEAKER_23
transcript.pyannote[1656].start 8537.95409375
transcript.pyannote[1656].end 8557.22534375
transcript.pyannote[1657].speaker SPEAKER_09
transcript.pyannote[1657].start 8557.64721875
transcript.pyannote[1657].end 8560.58346875
transcript.pyannote[1658].speaker SPEAKER_23
transcript.pyannote[1658].start 8557.90034375
transcript.pyannote[1658].end 8558.33909375
transcript.pyannote[1659].speaker SPEAKER_23
transcript.pyannote[1659].start 8558.40659375
transcript.pyannote[1659].end 8558.67659375
transcript.pyannote[1660].speaker SPEAKER_31
transcript.pyannote[1660].start 8560.58346875
transcript.pyannote[1660].end 8560.60034375
transcript.pyannote[1661].speaker SPEAKER_23
transcript.pyannote[1661].start 8560.60034375
transcript.pyannote[1661].end 8560.90409375
transcript.pyannote[1662].speaker SPEAKER_31
transcript.pyannote[1662].start 8560.90409375
transcript.pyannote[1662].end 8561.62971875
transcript.pyannote[1663].speaker SPEAKER_09
transcript.pyannote[1663].start 8561.02221875
transcript.pyannote[1663].end 8564.07659375
transcript.pyannote[1664].speaker SPEAKER_31
transcript.pyannote[1664].start 8562.57471875
transcript.pyannote[1664].end 8564.16096875
transcript.pyannote[1665].speaker SPEAKER_31
transcript.pyannote[1665].start 8564.34659375
transcript.pyannote[1665].end 8575.12971875
transcript.pyannote[1666].speaker SPEAKER_23
transcript.pyannote[1666].start 8576.31096875
transcript.pyannote[1666].end 8577.34034375
transcript.pyannote[1667].speaker SPEAKER_23
transcript.pyannote[1667].start 8577.47534375
transcript.pyannote[1667].end 8580.76596875
transcript.pyannote[1668].speaker SPEAKER_31
transcript.pyannote[1668].start 8580.73221875
transcript.pyannote[1668].end 8580.74909375
transcript.pyannote[1669].speaker SPEAKER_05
transcript.pyannote[1669].start 8580.74909375
transcript.pyannote[1669].end 8581.05284375
transcript.pyannote[1670].speaker SPEAKER_23
transcript.pyannote[1670].start 8581.03596875
transcript.pyannote[1670].end 8592.54471875
transcript.pyannote[1671].speaker SPEAKER_23
transcript.pyannote[1671].start 8593.20284375
transcript.pyannote[1671].end 8611.22534375
transcript.pyannote[1672].speaker SPEAKER_31
transcript.pyannote[1672].start 8606.73659375
transcript.pyannote[1672].end 8607.20909375
transcript.pyannote[1673].speaker SPEAKER_31
transcript.pyannote[1673].start 8607.36096875
transcript.pyannote[1673].end 8608.86284375
transcript.pyannote[1674].speaker SPEAKER_31
transcript.pyannote[1674].start 8608.93034375
transcript.pyannote[1674].end 8623.42596875
transcript.pyannote[1675].speaker SPEAKER_05
transcript.pyannote[1675].start 8626.75034375
transcript.pyannote[1675].end 8626.76721875
transcript.pyannote[1676].speaker SPEAKER_23
transcript.pyannote[1676].start 8626.76721875
transcript.pyannote[1676].end 8627.15534375
transcript.pyannote[1677].speaker SPEAKER_05
transcript.pyannote[1677].start 8627.15534375
transcript.pyannote[1677].end 8627.20596875
transcript.pyannote[1678].speaker SPEAKER_23
transcript.pyannote[1678].start 8627.20596875
transcript.pyannote[1678].end 8627.49284375
transcript.pyannote[1679].speaker SPEAKER_23
transcript.pyannote[1679].start 8627.52659375
transcript.pyannote[1679].end 8663.80784375
transcript.pyannote[1680].speaker SPEAKER_05
transcript.pyannote[1680].start 8632.75784375
transcript.pyannote[1680].end 8633.06159375
transcript.pyannote[1681].speaker SPEAKER_31
transcript.pyannote[1681].start 8663.43659375
transcript.pyannote[1681].end 8679.14721875
transcript.pyannote[1682].speaker SPEAKER_05
transcript.pyannote[1682].start 8671.03034375
transcript.pyannote[1682].end 8671.13159375
transcript.pyannote[1683].speaker SPEAKER_05
transcript.pyannote[1683].start 8671.24971875
transcript.pyannote[1683].end 8671.31721875
transcript.pyannote[1684].speaker SPEAKER_31
transcript.pyannote[1684].start 8679.19784375
transcript.pyannote[1684].end 8679.26534375
transcript.pyannote[1685].speaker SPEAKER_31
transcript.pyannote[1685].start 8679.29909375
transcript.pyannote[1685].end 8681.32409375
transcript.pyannote[1686].speaker SPEAKER_31
transcript.pyannote[1686].start 8681.56034375
transcript.pyannote[1686].end 8687.51721875
transcript.pyannote[1687].speaker SPEAKER_31
transcript.pyannote[1687].start 8688.73221875
transcript.pyannote[1687].end 8698.84034375
transcript.pyannote[1688].speaker SPEAKER_31
transcript.pyannote[1688].start 8699.12721875
transcript.pyannote[1688].end 8702.51909375
transcript.pyannote[1689].speaker SPEAKER_31
transcript.pyannote[1689].start 8704.30784375
transcript.pyannote[1689].end 8709.92721875
transcript.pyannote[1690].speaker SPEAKER_31
transcript.pyannote[1690].start 8710.04534375
transcript.pyannote[1690].end 8728.35471875
transcript.pyannote[1691].speaker SPEAKER_05
transcript.pyannote[1691].start 8725.97534375
transcript.pyannote[1691].end 8726.02596875
transcript.pyannote[1692].speaker SPEAKER_11
transcript.pyannote[1692].start 8726.02596875
transcript.pyannote[1692].end 8726.16096875
transcript.pyannote[1693].speaker SPEAKER_05
transcript.pyannote[1693].start 8726.16096875
transcript.pyannote[1693].end 8726.41409375
transcript.pyannote[1694].speaker SPEAKER_11
transcript.pyannote[1694].start 8729.08034375
transcript.pyannote[1694].end 8733.02909375
transcript.pyannote[1695].speaker SPEAKER_05
transcript.pyannote[1695].start 8769.63096875
transcript.pyannote[1695].end 8769.64784375
transcript.pyannote[1696].speaker SPEAKER_05
transcript.pyannote[1696].start 8769.66471875
transcript.pyannote[1696].end 8769.74909375
transcript.pyannote[1697].speaker SPEAKER_05
transcript.pyannote[1697].start 8770.50846875
transcript.pyannote[1697].end 8770.52534375
transcript.pyannote[1698].speaker SPEAKER_05
transcript.pyannote[1698].start 8770.60971875
transcript.pyannote[1698].end 8771.58846875
transcript.pyannote[1699].speaker SPEAKER_11
transcript.pyannote[1699].start 9339.68534375
transcript.pyannote[1699].end 9341.44034375
transcript.pyannote[1700].speaker SPEAKER_11
transcript.pyannote[1700].start 9341.74409375
transcript.pyannote[1700].end 9344.34284375
transcript.pyannote[1701].speaker SPEAKER_21
transcript.pyannote[1701].start 9354.68721875
transcript.pyannote[1701].end 9356.42534375
transcript.pyannote[1702].speaker SPEAKER_11
transcript.pyannote[1702].start 9356.76284375
transcript.pyannote[1702].end 9357.57284375
transcript.pyannote[1703].speaker SPEAKER_21
transcript.pyannote[1703].start 9361.94346875
transcript.pyannote[1703].end 9362.53409375
transcript.pyannote[1704].speaker SPEAKER_21
transcript.pyannote[1704].start 9363.02346875
transcript.pyannote[1704].end 9363.90096875
transcript.pyannote[1705].speaker SPEAKER_21
transcript.pyannote[1705].start 9364.23846875
transcript.pyannote[1705].end 9368.11971875
transcript.pyannote[1706].speaker SPEAKER_21
transcript.pyannote[1706].start 9368.35596875
transcript.pyannote[1706].end 9370.22909375
transcript.pyannote[1707].speaker SPEAKER_21
transcript.pyannote[1707].start 9370.43159375
transcript.pyannote[1707].end 9372.03471875
transcript.pyannote[1708].speaker SPEAKER_21
transcript.pyannote[1708].start 9372.37221875
transcript.pyannote[1708].end 9378.41346875
transcript.pyannote[1709].speaker SPEAKER_21
transcript.pyannote[1709].start 9378.49784375
transcript.pyannote[1709].end 9380.74221875
transcript.pyannote[1710].speaker SPEAKER_21
transcript.pyannote[1710].start 9380.84346875
transcript.pyannote[1710].end 9385.90596875
transcript.pyannote[1711].speaker SPEAKER_21
transcript.pyannote[1711].start 9386.15909375
transcript.pyannote[1711].end 9403.96221875
transcript.pyannote[1712].speaker SPEAKER_21
transcript.pyannote[1712].start 9404.50221875
transcript.pyannote[1712].end 9418.49159375
transcript.pyannote[1713].speaker SPEAKER_21
transcript.pyannote[1713].start 9418.74471875
transcript.pyannote[1713].end 9440.68221875
transcript.pyannote[1714].speaker SPEAKER_10
transcript.pyannote[1714].start 9442.60596875
transcript.pyannote[1714].end 9444.19221875
transcript.pyannote[1715].speaker SPEAKER_21
transcript.pyannote[1715].start 9443.34846875
transcript.pyannote[1715].end 9457.47284375
transcript.pyannote[1716].speaker SPEAKER_10
transcript.pyannote[1716].start 9444.20909375
transcript.pyannote[1716].end 9444.56346875
transcript.pyannote[1717].speaker SPEAKER_10
transcript.pyannote[1717].start 9445.17096875
transcript.pyannote[1717].end 9447.26346875
transcript.pyannote[1718].speaker SPEAKER_21
transcript.pyannote[1718].start 9457.84409375
transcript.pyannote[1718].end 9489.63659375
transcript.pyannote[1719].speaker SPEAKER_05
transcript.pyannote[1719].start 9489.60284375
transcript.pyannote[1719].end 9489.88971875
transcript.pyannote[1720].speaker SPEAKER_21
transcript.pyannote[1720].start 9489.73784375
transcript.pyannote[1720].end 9499.50846875
transcript.pyannote[1721].speaker SPEAKER_03
transcript.pyannote[1721].start 9489.88971875
transcript.pyannote[1721].end 9489.90659375
transcript.pyannote[1722].speaker SPEAKER_21
transcript.pyannote[1722].start 9499.94721875
transcript.pyannote[1722].end 9499.98096875
transcript.pyannote[1723].speaker SPEAKER_09
transcript.pyannote[1723].start 9499.98096875
transcript.pyannote[1723].end 9500.70659375
transcript.pyannote[1724].speaker SPEAKER_21
transcript.pyannote[1724].start 9500.70659375
transcript.pyannote[1724].end 9500.74034375
transcript.pyannote[1725].speaker SPEAKER_09
transcript.pyannote[1725].start 9501.24659375
transcript.pyannote[1725].end 9503.42346875
transcript.pyannote[1726].speaker SPEAKER_09
transcript.pyannote[1726].start 9503.71034375
transcript.pyannote[1726].end 9507.28784375
transcript.pyannote[1727].speaker SPEAKER_09
transcript.pyannote[1727].start 9507.45659375
transcript.pyannote[1727].end 9509.49846875
transcript.pyannote[1728].speaker SPEAKER_09
transcript.pyannote[1728].start 9509.83596875
transcript.pyannote[1728].end 9522.81284375
transcript.pyannote[1729].speaker SPEAKER_09
transcript.pyannote[1729].start 9523.15034375
transcript.pyannote[1729].end 9524.97284375
transcript.pyannote[1730].speaker SPEAKER_21
transcript.pyannote[1730].start 9524.19659375
transcript.pyannote[1730].end 9525.64784375
transcript.pyannote[1731].speaker SPEAKER_21
transcript.pyannote[1731].start 9525.85034375
transcript.pyannote[1731].end 9526.37346875
transcript.pyannote[1732].speaker SPEAKER_07
transcript.pyannote[1732].start 9526.37346875
transcript.pyannote[1732].end 9526.40721875
transcript.pyannote[1733].speaker SPEAKER_09
transcript.pyannote[1733].start 9526.40721875
transcript.pyannote[1733].end 9526.42409375
transcript.pyannote[1734].speaker SPEAKER_07
transcript.pyannote[1734].start 9526.42409375
transcript.pyannote[1734].end 9526.94721875
transcript.pyannote[1735].speaker SPEAKER_09
transcript.pyannote[1735].start 9526.94721875
transcript.pyannote[1735].end 9526.96409375
transcript.pyannote[1736].speaker SPEAKER_07
transcript.pyannote[1736].start 9526.96409375
transcript.pyannote[1736].end 9527.11596875
transcript.pyannote[1737].speaker SPEAKER_21
transcript.pyannote[1737].start 9526.99784375
transcript.pyannote[1737].end 9549.66096875
transcript.pyannote[1738].speaker SPEAKER_09
transcript.pyannote[1738].start 9527.11596875
transcript.pyannote[1738].end 9527.16659375
transcript.pyannote[1739].speaker SPEAKER_21
transcript.pyannote[1739].start 9550.23471875
transcript.pyannote[1739].end 9550.92659375
transcript.pyannote[1740].speaker SPEAKER_21
transcript.pyannote[1740].start 9551.29784375
transcript.pyannote[1740].end 9579.39471875
transcript.pyannote[1741].speaker SPEAKER_00
transcript.pyannote[1741].start 9569.79284375
transcript.pyannote[1741].end 9569.89409375
transcript.pyannote[1742].speaker SPEAKER_21
transcript.pyannote[1742].start 9579.56346875
transcript.pyannote[1742].end 9585.43596875
transcript.pyannote[1743].speaker SPEAKER_05
transcript.pyannote[1743].start 9585.19971875
transcript.pyannote[1743].end 9585.41909375
transcript.pyannote[1744].speaker SPEAKER_05
transcript.pyannote[1744].start 9585.43596875
transcript.pyannote[1744].end 9585.84096875
transcript.pyannote[1745].speaker SPEAKER_21
transcript.pyannote[1745].start 9585.84096875
transcript.pyannote[1745].end 9588.60846875
transcript.pyannote[1746].speaker SPEAKER_21
transcript.pyannote[1746].start 9588.76034375
transcript.pyannote[1746].end 9617.29596875
transcript.pyannote[1747].speaker SPEAKER_09
transcript.pyannote[1747].start 9616.94159375
transcript.pyannote[1747].end 9617.48159375
transcript.pyannote[1748].speaker SPEAKER_09
transcript.pyannote[1748].start 9617.78534375
transcript.pyannote[1748].end 9624.97409375
transcript.pyannote[1749].speaker SPEAKER_09
transcript.pyannote[1749].start 9625.44659375
transcript.pyannote[1749].end 9629.20971875
transcript.pyannote[1750].speaker SPEAKER_09
transcript.pyannote[1750].start 9629.78346875
transcript.pyannote[1750].end 9643.03034375
transcript.pyannote[1751].speaker SPEAKER_21
transcript.pyannote[1751].start 9641.91659375
transcript.pyannote[1751].end 9642.87846875
transcript.pyannote[1752].speaker SPEAKER_21
transcript.pyannote[1752].start 9643.03034375
transcript.pyannote[1752].end 9656.44596875
transcript.pyannote[1753].speaker SPEAKER_09
transcript.pyannote[1753].start 9644.49846875
transcript.pyannote[1753].end 9645.29159375
transcript.pyannote[1754].speaker SPEAKER_09
transcript.pyannote[1754].start 9653.93159375
transcript.pyannote[1754].end 9665.05221875
transcript.pyannote[1755].speaker SPEAKER_21
transcript.pyannote[1755].start 9657.55971875
transcript.pyannote[1755].end 9657.93096875
transcript.pyannote[1756].speaker SPEAKER_09
transcript.pyannote[1756].start 9665.35596875
transcript.pyannote[1756].end 9668.29221875
transcript.pyannote[1757].speaker SPEAKER_08
transcript.pyannote[1757].start 9667.09409375
transcript.pyannote[1757].end 9667.11096875
transcript.pyannote[1758].speaker SPEAKER_21
transcript.pyannote[1758].start 9667.11096875
transcript.pyannote[1758].end 9685.74096875
transcript.pyannote[1759].speaker SPEAKER_21
transcript.pyannote[1759].start 9685.90971875
transcript.pyannote[1759].end 9708.48846875
transcript.pyannote[1760].speaker SPEAKER_21
transcript.pyannote[1760].start 9708.70784375
transcript.pyannote[1760].end 9724.97534375
transcript.pyannote[1761].speaker SPEAKER_04
transcript.pyannote[1761].start 9708.75846875
transcript.pyannote[1761].end 9709.04534375
transcript.pyannote[1762].speaker SPEAKER_09
transcript.pyannote[1762].start 9724.97534375
transcript.pyannote[1762].end 9734.98221875
transcript.pyannote[1763].speaker SPEAKER_09
transcript.pyannote[1763].start 9735.48846875
transcript.pyannote[1763].end 9747.06471875
transcript.pyannote[1764].speaker SPEAKER_21
transcript.pyannote[1764].start 9745.78221875
transcript.pyannote[1764].end 9747.65534375
transcript.pyannote[1765].speaker SPEAKER_21
transcript.pyannote[1765].start 9747.95909375
transcript.pyannote[1765].end 9778.53659375
transcript.pyannote[1766].speaker SPEAKER_00
transcript.pyannote[1766].start 9777.28784375
transcript.pyannote[1766].end 9777.77721875
transcript.pyannote[1767].speaker SPEAKER_00
transcript.pyannote[1767].start 9777.86159375
transcript.pyannote[1767].end 9778.38471875
transcript.pyannote[1768].speaker SPEAKER_21
transcript.pyannote[1768].start 9778.62096875
transcript.pyannote[1768].end 9796.96409375
transcript.pyannote[1769].speaker SPEAKER_09
transcript.pyannote[1769].start 9796.96409375
transcript.pyannote[1769].end 9800.03534375
transcript.pyannote[1770].speaker SPEAKER_09
transcript.pyannote[1770].start 9800.25471875
transcript.pyannote[1770].end 9806.24534375
transcript.pyannote[1771].speaker SPEAKER_09
transcript.pyannote[1771].start 9806.54909375
transcript.pyannote[1771].end 9821.14596875
transcript.pyannote[1772].speaker SPEAKER_09
transcript.pyannote[1772].start 9821.60159375
transcript.pyannote[1772].end 9822.85034375
transcript.pyannote[1773].speaker SPEAKER_09
transcript.pyannote[1773].start 9823.20471875
transcript.pyannote[1773].end 9824.75721875
transcript.pyannote[1774].speaker SPEAKER_09
transcript.pyannote[1774].start 9824.95971875
transcript.pyannote[1774].end 9826.42784375
transcript.pyannote[1775].speaker SPEAKER_09
transcript.pyannote[1775].start 9826.74846875
transcript.pyannote[1775].end 9827.23784375
transcript.pyannote[1776].speaker SPEAKER_09
transcript.pyannote[1776].start 9828.62159375
transcript.pyannote[1776].end 9834.24096875
transcript.pyannote[1777].speaker SPEAKER_09
transcript.pyannote[1777].start 9834.96659375
transcript.pyannote[1777].end 9838.34159375
transcript.pyannote[1778].speaker SPEAKER_21
transcript.pyannote[1778].start 9836.16471875
transcript.pyannote[1778].end 9854.28846875
transcript.pyannote[1779].speaker SPEAKER_09
transcript.pyannote[1779].start 9849.90096875
transcript.pyannote[1779].end 9850.32284375
transcript.pyannote[1780].speaker SPEAKER_09
transcript.pyannote[1780].start 9850.39034375
transcript.pyannote[1780].end 9851.25096875
transcript.pyannote[1781].speaker SPEAKER_09
transcript.pyannote[1781].start 9852.41534375
transcript.pyannote[1781].end 9853.03971875
transcript.pyannote[1782].speaker SPEAKER_09
transcript.pyannote[1782].start 9853.36034375
transcript.pyannote[1782].end 9860.39721875
transcript.pyannote[1783].speaker SPEAKER_21
transcript.pyannote[1783].start 9856.51596875
transcript.pyannote[1783].end 9861.59534375
transcript.pyannote[1784].speaker SPEAKER_21
transcript.pyannote[1784].start 9862.23659375
transcript.pyannote[1784].end 9874.62284375
transcript.pyannote[1785].speaker SPEAKER_21
transcript.pyannote[1785].start 9874.79159375
transcript.pyannote[1785].end 9890.56971875
transcript.pyannote[1786].speaker SPEAKER_21
transcript.pyannote[1786].start 9890.87346875
transcript.pyannote[1786].end 9907.90034375
transcript.pyannote[1787].speaker SPEAKER_09
transcript.pyannote[1787].start 9908.54159375
transcript.pyannote[1787].end 9920.91096875
transcript.pyannote[1788].speaker SPEAKER_21
transcript.pyannote[1788].start 9918.16034375
transcript.pyannote[1788].end 9919.34159375
transcript.pyannote[1789].speaker SPEAKER_09
transcript.pyannote[1789].start 9921.31596875
transcript.pyannote[1789].end 9922.39596875
transcript.pyannote[1790].speaker SPEAKER_21
transcript.pyannote[1790].start 9921.34971875
transcript.pyannote[1790].end 9941.02596875
transcript.pyannote[1791].speaker SPEAKER_21
transcript.pyannote[1791].start 9941.19471875
transcript.pyannote[1791].end 9942.44346875
transcript.pyannote[1792].speaker SPEAKER_21
transcript.pyannote[1792].start 9942.73034375
transcript.pyannote[1792].end 9994.90784375
transcript.pyannote[1793].speaker SPEAKER_09
transcript.pyannote[1793].start 9995.85284375
transcript.pyannote[1793].end 9998.63721875
transcript.pyannote[1794].speaker SPEAKER_09
transcript.pyannote[1794].start 9999.24471875
transcript.pyannote[1794].end 10001.05034375
transcript.pyannote[1795].speaker SPEAKER_21
transcript.pyannote[1795].start 10001.05034375
transcript.pyannote[1795].end 10012.47471875
transcript.pyannote[1796].speaker SPEAKER_21
transcript.pyannote[1796].start 10014.02721875
transcript.pyannote[1796].end 10016.84534375
transcript.pyannote[1797].speaker SPEAKER_21
transcript.pyannote[1797].start 10017.11534375
transcript.pyannote[1797].end 10028.52284375
transcript.pyannote[1798].speaker SPEAKER_09
transcript.pyannote[1798].start 10029.73784375
transcript.pyannote[1798].end 10030.09221875
transcript.pyannote[1799].speaker SPEAKER_09
transcript.pyannote[1799].start 10030.17659375
transcript.pyannote[1799].end 10037.63534375
transcript.pyannote[1800].speaker SPEAKER_21
transcript.pyannote[1800].start 10033.99034375
transcript.pyannote[1800].end 10035.57659375
transcript.pyannote[1801].speaker SPEAKER_21
transcript.pyannote[1801].start 10036.48784375
transcript.pyannote[1801].end 10041.82034375
transcript.pyannote[1802].speaker SPEAKER_09
transcript.pyannote[1802].start 10040.03159375
transcript.pyannote[1802].end 10045.80284375
transcript.pyannote[1803].speaker SPEAKER_21
transcript.pyannote[1803].start 10042.59659375
transcript.pyannote[1803].end 10043.57534375
transcript.pyannote[1804].speaker SPEAKER_21
transcript.pyannote[1804].start 10044.60471875
transcript.pyannote[1804].end 10047.49034375
transcript.pyannote[1805].speaker SPEAKER_21
transcript.pyannote[1805].start 10048.38471875
transcript.pyannote[1805].end 10055.74221875
transcript.pyannote[1806].speaker SPEAKER_09
transcript.pyannote[1806].start 10056.87284375
transcript.pyannote[1806].end 10057.51409375
transcript.pyannote[1807].speaker SPEAKER_09
transcript.pyannote[1807].start 10057.71659375
transcript.pyannote[1807].end 10065.19221875
transcript.pyannote[1808].speaker SPEAKER_21
transcript.pyannote[1808].start 10062.50909375
transcript.pyannote[1808].end 10085.13846875
transcript.pyannote[1809].speaker SPEAKER_09
transcript.pyannote[1809].start 10065.63096875
transcript.pyannote[1809].end 10066.17096875
transcript.pyannote[1810].speaker SPEAKER_07
transcript.pyannote[1810].start 10066.17096875
transcript.pyannote[1810].end 10066.22159375
transcript.pyannote[1811].speaker SPEAKER_09
transcript.pyannote[1811].start 10073.03909375
transcript.pyannote[1811].end 10075.85721875
transcript.pyannote[1812].speaker SPEAKER_09
transcript.pyannote[1812].start 10078.57409375
transcript.pyannote[1812].end 10078.60784375
transcript.pyannote[1813].speaker SPEAKER_05
transcript.pyannote[1813].start 10078.60784375
transcript.pyannote[1813].end 10080.48096875
transcript.pyannote[1814].speaker SPEAKER_11
transcript.pyannote[1814].start 10080.48096875
transcript.pyannote[1814].end 10081.44284375
transcript.pyannote[1815].speaker SPEAKER_11
transcript.pyannote[1815].start 10084.71659375
transcript.pyannote[1815].end 10085.05409375
transcript.pyannote[1816].speaker SPEAKER_05
transcript.pyannote[1816].start 10085.17221875
transcript.pyannote[1816].end 10085.45909375
transcript.pyannote[1817].speaker SPEAKER_11
transcript.pyannote[1817].start 10086.70784375
transcript.pyannote[1817].end 10091.55096875
transcript.pyannote[1818].speaker SPEAKER_33
transcript.pyannote[1818].start 10104.35909375
transcript.pyannote[1818].end 10108.03784375
transcript.pyannote[1819].speaker SPEAKER_33
transcript.pyannote[1819].start 10108.07159375
transcript.pyannote[1819].end 10108.08846875
transcript.pyannote[1820].speaker SPEAKER_11
transcript.pyannote[1820].start 10108.08846875
transcript.pyannote[1820].end 10108.89846875
transcript.pyannote[1821].speaker SPEAKER_33
transcript.pyannote[1821].start 10108.79721875
transcript.pyannote[1821].end 10108.84784375
transcript.pyannote[1822].speaker SPEAKER_33
transcript.pyannote[1822].start 10108.86471875
transcript.pyannote[1822].end 10108.88159375
transcript.pyannote[1823].speaker SPEAKER_33
transcript.pyannote[1823].start 10108.89846875
transcript.pyannote[1823].end 10109.35409375
transcript.pyannote[1824].speaker SPEAKER_11
transcript.pyannote[1824].start 10113.57284375
transcript.pyannote[1824].end 10114.36596875
transcript.pyannote[1825].speaker SPEAKER_33
transcript.pyannote[1825].start 10113.92721875
transcript.pyannote[1825].end 10124.13659375
transcript.pyannote[1826].speaker SPEAKER_33
transcript.pyannote[1826].start 10124.42346875
transcript.pyannote[1826].end 10135.35846875
transcript.pyannote[1827].speaker SPEAKER_00
transcript.pyannote[1827].start 10125.60471875
transcript.pyannote[1827].end 10126.12784375
transcript.pyannote[1828].speaker SPEAKER_00
transcript.pyannote[1828].start 10128.74346875
transcript.pyannote[1828].end 10129.06409375
transcript.pyannote[1829].speaker SPEAKER_33
transcript.pyannote[1829].start 10135.74659375
transcript.pyannote[1829].end 10144.30221875
transcript.pyannote[1830].speaker SPEAKER_33
transcript.pyannote[1830].start 10144.77471875
transcript.pyannote[1830].end 10146.58034375
transcript.pyannote[1831].speaker SPEAKER_33
transcript.pyannote[1831].start 10146.96846875
transcript.pyannote[1831].end 10149.44909375
transcript.pyannote[1832].speaker SPEAKER_33
transcript.pyannote[1832].start 10149.70221875
transcript.pyannote[1832].end 10178.22096875
transcript.pyannote[1833].speaker SPEAKER_10
transcript.pyannote[1833].start 10151.28846875
transcript.pyannote[1833].end 10151.54159375
transcript.pyannote[1834].speaker SPEAKER_10
transcript.pyannote[1834].start 10156.58721875
transcript.pyannote[1834].end 10156.99221875
transcript.pyannote[1835].speaker SPEAKER_05
transcript.pyannote[1835].start 10178.11971875
transcript.pyannote[1835].end 10178.50784375
transcript.pyannote[1836].speaker SPEAKER_33
transcript.pyannote[1836].start 10178.33909375
transcript.pyannote[1836].end 10191.78846875
transcript.pyannote[1837].speaker SPEAKER_09
transcript.pyannote[1837].start 10189.94909375
transcript.pyannote[1837].end 10190.35409375
transcript.pyannote[1838].speaker SPEAKER_09
transcript.pyannote[1838].start 10191.68721875
transcript.pyannote[1838].end 10191.95721875
transcript.pyannote[1839].speaker SPEAKER_09
transcript.pyannote[1839].start 10192.21034375
transcript.pyannote[1839].end 10200.14159375
transcript.pyannote[1840].speaker SPEAKER_09
transcript.pyannote[1840].start 10200.32721875
transcript.pyannote[1840].end 10223.31096875
transcript.pyannote[1841].speaker SPEAKER_09
transcript.pyannote[1841].start 10223.49659375
transcript.pyannote[1841].end 10230.12846875
transcript.pyannote[1842].speaker SPEAKER_09
transcript.pyannote[1842].start 10230.17909375
transcript.pyannote[1842].end 10230.19596875
transcript.pyannote[1843].speaker SPEAKER_09
transcript.pyannote[1843].start 10230.21284375
transcript.pyannote[1843].end 10236.59159375
transcript.pyannote[1844].speaker SPEAKER_09
transcript.pyannote[1844].start 10236.84471875
transcript.pyannote[1844].end 10240.55721875
transcript.pyannote[1845].speaker SPEAKER_09
transcript.pyannote[1845].start 10240.77659375
transcript.pyannote[1845].end 10254.51284375
transcript.pyannote[1846].speaker SPEAKER_09
transcript.pyannote[1846].start 10254.74909375
transcript.pyannote[1846].end 10257.38159375
transcript.pyannote[1847].speaker SPEAKER_09
transcript.pyannote[1847].start 10257.58409375
transcript.pyannote[1847].end 10259.71034375
transcript.pyannote[1848].speaker SPEAKER_09
transcript.pyannote[1848].start 10259.77784375
transcript.pyannote[1848].end 10263.59159375
transcript.pyannote[1849].speaker SPEAKER_09
transcript.pyannote[1849].start 10263.72659375
transcript.pyannote[1849].end 10275.82596875
transcript.pyannote[1850].speaker SPEAKER_33
transcript.pyannote[1850].start 10276.16346875
transcript.pyannote[1850].end 10282.15409375
transcript.pyannote[1851].speaker SPEAKER_33
transcript.pyannote[1851].start 10282.55909375
transcript.pyannote[1851].end 10297.27409375
transcript.pyannote[1852].speaker SPEAKER_33
transcript.pyannote[1852].start 10297.45971875
transcript.pyannote[1852].end 10300.46346875
transcript.pyannote[1853].speaker SPEAKER_33
transcript.pyannote[1853].start 10301.40846875
transcript.pyannote[1853].end 10304.98596875
transcript.pyannote[1854].speaker SPEAKER_33
transcript.pyannote[1854].start 10305.10409375
transcript.pyannote[1854].end 10310.87534375
transcript.pyannote[1855].speaker SPEAKER_33
transcript.pyannote[1855].start 10311.26346875
transcript.pyannote[1855].end 10314.38534375
transcript.pyannote[1856].speaker SPEAKER_33
transcript.pyannote[1856].start 10315.46534375
transcript.pyannote[1856].end 10320.73034375
transcript.pyannote[1857].speaker SPEAKER_33
transcript.pyannote[1857].start 10320.81471875
transcript.pyannote[1857].end 10339.69784375
transcript.pyannote[1858].speaker SPEAKER_33
transcript.pyannote[1858].start 10340.10284375
transcript.pyannote[1858].end 10340.38971875
transcript.pyannote[1859].speaker SPEAKER_33
transcript.pyannote[1859].start 10340.67659375
transcript.pyannote[1859].end 10379.53971875
transcript.pyannote[1860].speaker SPEAKER_03
transcript.pyannote[1860].start 10366.69784375
transcript.pyannote[1860].end 10366.84971875
transcript.pyannote[1861].speaker SPEAKER_33
transcript.pyannote[1861].start 10379.91096875
transcript.pyannote[1861].end 10404.39659375
transcript.pyannote[1862].speaker SPEAKER_09
transcript.pyannote[1862].start 10403.92409375
transcript.pyannote[1862].end 10413.76221875
transcript.pyannote[1863].speaker SPEAKER_09
transcript.pyannote[1863].start 10414.23471875
transcript.pyannote[1863].end 10417.50846875
transcript.pyannote[1864].speaker SPEAKER_09
transcript.pyannote[1864].start 10417.60971875
transcript.pyannote[1864].end 10418.74034375
transcript.pyannote[1865].speaker SPEAKER_09
transcript.pyannote[1865].start 10418.85846875
transcript.pyannote[1865].end 10431.31221875
transcript.pyannote[1866].speaker SPEAKER_09
transcript.pyannote[1866].start 10431.53159375
transcript.pyannote[1866].end 10437.15096875
transcript.pyannote[1867].speaker SPEAKER_09
transcript.pyannote[1867].start 10437.26909375
transcript.pyannote[1867].end 10439.26034375
transcript.pyannote[1868].speaker SPEAKER_09
transcript.pyannote[1868].start 10439.63159375
transcript.pyannote[1868].end 10445.85846875
transcript.pyannote[1869].speaker SPEAKER_33
transcript.pyannote[1869].start 10446.07784375
transcript.pyannote[1869].end 10460.62409375
transcript.pyannote[1870].speaker SPEAKER_33
transcript.pyannote[1870].start 10461.94034375
transcript.pyannote[1870].end 10485.58221875
transcript.pyannote[1871].speaker SPEAKER_33
transcript.pyannote[1871].start 10485.91971875
transcript.pyannote[1871].end 10489.63221875
transcript.pyannote[1872].speaker SPEAKER_33
transcript.pyannote[1872].start 10489.95284375
transcript.pyannote[1872].end 10497.31034375
transcript.pyannote[1873].speaker SPEAKER_33
transcript.pyannote[1873].start 10497.91784375
transcript.pyannote[1873].end 10513.32471875
transcript.pyannote[1874].speaker SPEAKER_33
transcript.pyannote[1874].start 10514.06721875
transcript.pyannote[1874].end 10534.09784375
transcript.pyannote[1875].speaker SPEAKER_33
transcript.pyannote[1875].start 10535.07659375
transcript.pyannote[1875].end 10538.04659375
transcript.pyannote[1876].speaker SPEAKER_33
transcript.pyannote[1876].start 10538.73846875
transcript.pyannote[1876].end 10544.96534375
transcript.pyannote[1877].speaker SPEAKER_33
transcript.pyannote[1877].start 10545.97784375
transcript.pyannote[1877].end 10555.56284375
transcript.pyannote[1878].speaker SPEAKER_07
transcript.pyannote[1878].start 10555.76534375
transcript.pyannote[1878].end 10555.81596875
transcript.pyannote[1879].speaker SPEAKER_09
transcript.pyannote[1879].start 10555.81596875
transcript.pyannote[1879].end 10556.79471875
transcript.pyannote[1880].speaker SPEAKER_33
transcript.pyannote[1880].start 10556.79471875
transcript.pyannote[1880].end 10558.14471875
transcript.pyannote[1881].speaker SPEAKER_09
transcript.pyannote[1881].start 10556.81159375
transcript.pyannote[1881].end 10556.84534375
transcript.pyannote[1882].speaker SPEAKER_23
transcript.pyannote[1882].start 10557.46971875
transcript.pyannote[1882].end 10576.53846875
transcript.pyannote[1883].speaker SPEAKER_23
transcript.pyannote[1883].start 10576.97721875
transcript.pyannote[1883].end 10579.47471875
transcript.pyannote[1884].speaker SPEAKER_23
transcript.pyannote[1884].start 10579.93034375
transcript.pyannote[1884].end 10585.43159375
transcript.pyannote[1885].speaker SPEAKER_23
transcript.pyannote[1885].start 10585.48221875
transcript.pyannote[1885].end 10592.99159375
transcript.pyannote[1886].speaker SPEAKER_23
transcript.pyannote[1886].start 10593.26159375
transcript.pyannote[1886].end 10597.53096875
transcript.pyannote[1887].speaker SPEAKER_23
transcript.pyannote[1887].start 10597.75034375
transcript.pyannote[1887].end 10598.02034375
transcript.pyannote[1888].speaker SPEAKER_33
transcript.pyannote[1888].start 10598.20596875
transcript.pyannote[1888].end 10708.83846875
transcript.pyannote[1889].speaker SPEAKER_23
transcript.pyannote[1889].start 10601.76659375
transcript.pyannote[1889].end 10602.03659375
transcript.pyannote[1890].speaker SPEAKER_05
transcript.pyannote[1890].start 10689.68534375
transcript.pyannote[1890].end 10689.70221875
transcript.pyannote[1891].speaker SPEAKER_33
transcript.pyannote[1891].start 10709.15909375
transcript.pyannote[1891].end 10710.37409375
transcript.pyannote[1892].speaker SPEAKER_33
transcript.pyannote[1892].start 10710.52596875
transcript.pyannote[1892].end 10711.11659375
transcript.pyannote[1893].speaker SPEAKER_33
transcript.pyannote[1893].start 10711.72409375
transcript.pyannote[1893].end 10747.24596875
transcript.pyannote[1894].speaker SPEAKER_09
transcript.pyannote[1894].start 10745.64284375
transcript.pyannote[1894].end 10745.98034375
transcript.pyannote[1895].speaker SPEAKER_09
transcript.pyannote[1895].start 10747.19534375
transcript.pyannote[1895].end 10754.87346875
transcript.pyannote[1896].speaker SPEAKER_09
transcript.pyannote[1896].start 10755.19409375
transcript.pyannote[1896].end 10780.82721875
transcript.pyannote[1897].speaker SPEAKER_09
transcript.pyannote[1897].start 10780.92846875
transcript.pyannote[1897].end 10786.00784375
transcript.pyannote[1898].speaker SPEAKER_09
transcript.pyannote[1898].start 10786.21034375
transcript.pyannote[1898].end 10786.53096875
transcript.pyannote[1899].speaker SPEAKER_33
transcript.pyannote[1899].start 10786.69971875
transcript.pyannote[1899].end 10787.89784375
transcript.pyannote[1900].speaker SPEAKER_09
transcript.pyannote[1900].start 10787.89784375
transcript.pyannote[1900].end 10788.10034375
transcript.pyannote[1901].speaker SPEAKER_11
transcript.pyannote[1901].start 10788.10034375
transcript.pyannote[1901].end 10788.48846875
transcript.pyannote[1902].speaker SPEAKER_09
transcript.pyannote[1902].start 10788.48846875
transcript.pyannote[1902].end 10788.50534375
transcript.pyannote[1903].speaker SPEAKER_11
transcript.pyannote[1903].start 10788.87659375
transcript.pyannote[1903].end 10794.07409375
transcript.pyannote[1904].speaker SPEAKER_15
transcript.pyannote[1904].start 10800.11534375
transcript.pyannote[1904].end 10805.02596875
transcript.pyannote[1905].speaker SPEAKER_15
transcript.pyannote[1905].start 10808.97471875
transcript.pyannote[1905].end 10858.30034375
transcript.pyannote[1906].speaker SPEAKER_15
transcript.pyannote[1906].start 10858.80659375
transcript.pyannote[1906].end 10896.89346875
transcript.pyannote[1907].speaker SPEAKER_15
transcript.pyannote[1907].start 10897.72034375
transcript.pyannote[1907].end 10921.37909375
transcript.pyannote[1908].speaker SPEAKER_15
transcript.pyannote[1908].start 10921.56471875
transcript.pyannote[1908].end 10933.51221875
transcript.pyannote[1909].speaker SPEAKER_15
transcript.pyannote[1909].start 10933.71471875
transcript.pyannote[1909].end 10950.20159375
transcript.pyannote[1910].speaker SPEAKER_15
transcript.pyannote[1910].start 10950.84284375
transcript.pyannote[1910].end 10984.00221875
transcript.pyannote[1911].speaker SPEAKER_15
transcript.pyannote[1911].start 10984.27221875
transcript.pyannote[1911].end 10988.77784375
transcript.pyannote[1912].speaker SPEAKER_10
transcript.pyannote[1912].start 10989.40221875
transcript.pyannote[1912].end 10989.43596875
transcript.pyannote[1913].speaker SPEAKER_09
transcript.pyannote[1913].start 10989.43596875
transcript.pyannote[1913].end 10989.60471875
transcript.pyannote[1914].speaker SPEAKER_09
transcript.pyannote[1914].start 10990.31346875
transcript.pyannote[1914].end 10998.02534375
transcript.pyannote[1915].speaker SPEAKER_15
transcript.pyannote[1915].start 10998.02534375
transcript.pyannote[1915].end 10999.30784375
transcript.pyannote[1916].speaker SPEAKER_09
transcript.pyannote[1916].start 10999.30784375
transcript.pyannote[1916].end 10999.54409375
transcript.pyannote[1917].speaker SPEAKER_15
transcript.pyannote[1917].start 10999.54409375
transcript.pyannote[1917].end 10999.62846875
transcript.pyannote[1918].speaker SPEAKER_09
transcript.pyannote[1918].start 10999.62846875
transcript.pyannote[1918].end 10999.83096875
transcript.pyannote[1919].speaker SPEAKER_15
transcript.pyannote[1919].start 10999.83096875
transcript.pyannote[1919].end 11000.80971875
transcript.pyannote[1920].speaker SPEAKER_07
transcript.pyannote[1920].start 11000.08409375
transcript.pyannote[1920].end 11000.10096875
transcript.pyannote[1921].speaker SPEAKER_23
transcript.pyannote[1921].start 11000.10096875
transcript.pyannote[1921].end 11000.50596875
transcript.pyannote[1922].speaker SPEAKER_07
transcript.pyannote[1922].start 11000.50596875
transcript.pyannote[1922].end 11000.53971875
transcript.pyannote[1923].speaker SPEAKER_07
transcript.pyannote[1923].start 11000.96159375
transcript.pyannote[1923].end 11000.97846875
transcript.pyannote[1924].speaker SPEAKER_23
transcript.pyannote[1924].start 11000.97846875
transcript.pyannote[1924].end 11001.38346875
transcript.pyannote[1925].speaker SPEAKER_15
transcript.pyannote[1925].start 11001.19784375
transcript.pyannote[1925].end 11004.06659375
transcript.pyannote[1926].speaker SPEAKER_07
transcript.pyannote[1926].start 11001.38346875
transcript.pyannote[1926].end 11001.40034375
transcript.pyannote[1927].speaker SPEAKER_23
transcript.pyannote[1927].start 11004.25221875
transcript.pyannote[1927].end 11020.11471875
transcript.pyannote[1928].speaker SPEAKER_23
transcript.pyannote[1928].start 11020.21596875
transcript.pyannote[1928].end 11021.66721875
transcript.pyannote[1929].speaker SPEAKER_15
transcript.pyannote[1929].start 11020.82346875
transcript.pyannote[1929].end 11030.44221875
transcript.pyannote[1930].speaker SPEAKER_15
transcript.pyannote[1930].start 11030.96534375
transcript.pyannote[1930].end 11038.37346875
transcript.pyannote[1931].speaker SPEAKER_15
transcript.pyannote[1931].start 11038.87971875
transcript.pyannote[1931].end 11039.60534375
transcript.pyannote[1932].speaker SPEAKER_15
transcript.pyannote[1932].start 11039.82471875
transcript.pyannote[1932].end 11041.12409375
transcript.pyannote[1933].speaker SPEAKER_15
transcript.pyannote[1933].start 11043.33471875
transcript.pyannote[1933].end 11045.37659375
transcript.pyannote[1934].speaker SPEAKER_09
transcript.pyannote[1934].start 11045.37659375
transcript.pyannote[1934].end 11045.47784375
transcript.pyannote[1935].speaker SPEAKER_15
transcript.pyannote[1935].start 11045.47784375
transcript.pyannote[1935].end 11046.05159375
transcript.pyannote[1936].speaker SPEAKER_09
transcript.pyannote[1936].start 11046.05159375
transcript.pyannote[1936].end 11046.70971875
transcript.pyannote[1937].speaker SPEAKER_15
transcript.pyannote[1937].start 11046.70971875
transcript.pyannote[1937].end 11060.39534375
transcript.pyannote[1938].speaker SPEAKER_09
transcript.pyannote[1938].start 11046.91221875
transcript.pyannote[1938].end 11048.29596875
transcript.pyannote[1939].speaker SPEAKER_15
transcript.pyannote[1939].start 11061.55971875
transcript.pyannote[1939].end 11101.04721875
transcript.pyannote[1940].speaker SPEAKER_15
transcript.pyannote[1940].start 11101.57034375
transcript.pyannote[1940].end 11143.69034375
transcript.pyannote[1941].speaker SPEAKER_15
transcript.pyannote[1941].start 11144.78721875
transcript.pyannote[1941].end 11158.81034375
transcript.pyannote[1942].speaker SPEAKER_15
transcript.pyannote[1942].start 11159.70471875
transcript.pyannote[1942].end 11161.17284375
transcript.pyannote[1943].speaker SPEAKER_15
transcript.pyannote[1943].start 11164.69971875
transcript.pyannote[1943].end 11171.55096875
transcript.pyannote[1944].speaker SPEAKER_15
transcript.pyannote[1944].start 11172.14159375
transcript.pyannote[1944].end 11180.25846875
transcript.pyannote[1945].speaker SPEAKER_15
transcript.pyannote[1945].start 11181.52409375
transcript.pyannote[1945].end 11183.75159375
transcript.pyannote[1946].speaker SPEAKER_10
transcript.pyannote[1946].start 11184.74721875
transcript.pyannote[1946].end 11185.13534375
transcript.pyannote[1947].speaker SPEAKER_15
transcript.pyannote[1947].start 11185.13534375
transcript.pyannote[1947].end 11187.93659375
transcript.pyannote[1948].speaker SPEAKER_10
transcript.pyannote[1948].start 11188.22346875
transcript.pyannote[1948].end 11188.29096875
transcript.pyannote[1949].speaker SPEAKER_15
transcript.pyannote[1949].start 11188.29096875
transcript.pyannote[1949].end 11188.45971875
transcript.pyannote[1950].speaker SPEAKER_10
transcript.pyannote[1950].start 11188.45971875
transcript.pyannote[1950].end 11188.49346875
transcript.pyannote[1951].speaker SPEAKER_09
transcript.pyannote[1951].start 11188.79721875
transcript.pyannote[1951].end 11193.47159375
transcript.pyannote[1952].speaker SPEAKER_15
transcript.pyannote[1952].start 11193.47159375
transcript.pyannote[1952].end 11210.98784375
transcript.pyannote[1953].speaker SPEAKER_15
transcript.pyannote[1953].start 11211.54471875
transcript.pyannote[1953].end 11220.72471875
transcript.pyannote[1954].speaker SPEAKER_09
transcript.pyannote[1954].start 11217.34971875
transcript.pyannote[1954].end 11218.37909375
transcript.pyannote[1955].speaker SPEAKER_09
transcript.pyannote[1955].start 11220.87659375
transcript.pyannote[1955].end 11223.57659375
transcript.pyannote[1956].speaker SPEAKER_15
transcript.pyannote[1956].start 11222.68221875
transcript.pyannote[1956].end 11227.25534375
transcript.pyannote[1957].speaker SPEAKER_15
transcript.pyannote[1957].start 11228.03159375
transcript.pyannote[1957].end 11229.60096875
transcript.pyannote[1958].speaker SPEAKER_15
transcript.pyannote[1958].start 11229.82034375
transcript.pyannote[1958].end 11232.84096875
transcript.pyannote[1959].speaker SPEAKER_15
transcript.pyannote[1959].start 11233.78596875
transcript.pyannote[1959].end 11234.03909375
transcript.pyannote[1960].speaker SPEAKER_23
transcript.pyannote[1960].start 11234.03909375
transcript.pyannote[1960].end 11253.76596875
transcript.pyannote[1961].speaker SPEAKER_15
transcript.pyannote[1961].start 11253.76596875
transcript.pyannote[1961].end 11268.90284375
transcript.pyannote[1962].speaker SPEAKER_23
transcript.pyannote[1962].start 11270.75909375
transcript.pyannote[1962].end 11275.92284375
transcript.pyannote[1963].speaker SPEAKER_15
transcript.pyannote[1963].start 11275.46721875
transcript.pyannote[1963].end 11305.84221875
transcript.pyannote[1964].speaker SPEAKER_15
transcript.pyannote[1964].start 11306.04471875
transcript.pyannote[1964].end 11332.90971875
transcript.pyannote[1965].speaker SPEAKER_23
transcript.pyannote[1965].start 11333.34846875
transcript.pyannote[1965].end 11356.63596875
transcript.pyannote[1966].speaker SPEAKER_15
transcript.pyannote[1966].start 11354.72909375
transcript.pyannote[1966].end 11358.12096875
transcript.pyannote[1967].speaker SPEAKER_15
transcript.pyannote[1967].start 11358.28971875
transcript.pyannote[1967].end 11366.40659375
transcript.pyannote[1968].speaker SPEAKER_15
transcript.pyannote[1968].start 11366.50784375
transcript.pyannote[1968].end 11372.75159375
transcript.pyannote[1969].speaker SPEAKER_15
transcript.pyannote[1969].start 11373.08909375
transcript.pyannote[1969].end 11379.02909375
transcript.pyannote[1970].speaker SPEAKER_15
transcript.pyannote[1970].start 11379.41721875
transcript.pyannote[1970].end 11400.27471875
transcript.pyannote[1971].speaker SPEAKER_15
transcript.pyannote[1971].start 11400.69659375
transcript.pyannote[1971].end 11401.55721875
transcript.pyannote[1972].speaker SPEAKER_23
transcript.pyannote[1972].start 11401.74284375
transcript.pyannote[1972].end 11415.15846875
transcript.pyannote[1973].speaker SPEAKER_15
transcript.pyannote[1973].start 11413.35284375
transcript.pyannote[1973].end 11413.62284375
transcript.pyannote[1974].speaker SPEAKER_15
transcript.pyannote[1974].start 11414.44971875
transcript.pyannote[1974].end 11542.64909375
transcript.pyannote[1975].speaker SPEAKER_15
transcript.pyannote[1975].start 11542.80096875
transcript.pyannote[1975].end 11544.77534375
transcript.pyannote[1976].speaker SPEAKER_15
transcript.pyannote[1976].start 11544.85971875
transcript.pyannote[1976].end 11549.85471875
transcript.pyannote[1977].speaker SPEAKER_15
transcript.pyannote[1977].start 11550.47909375
transcript.pyannote[1977].end 11560.19909375
transcript.pyannote[1978].speaker SPEAKER_15
transcript.pyannote[1978].start 11560.80659375
transcript.pyannote[1978].end 11562.81471875
transcript.pyannote[1979].speaker SPEAKER_09
transcript.pyannote[1979].start 11563.92846875
transcript.pyannote[1979].end 11565.71721875
transcript.pyannote[1980].speaker SPEAKER_09
transcript.pyannote[1980].start 11566.03784375
transcript.pyannote[1980].end 11568.18096875
transcript.pyannote[1981].speaker SPEAKER_09
transcript.pyannote[1981].start 11568.95721875
transcript.pyannote[1981].end 11570.27346875
transcript.pyannote[1982].speaker SPEAKER_15
transcript.pyannote[1982].start 11569.85159375
transcript.pyannote[1982].end 11573.22659375
transcript.pyannote[1983].speaker SPEAKER_15
transcript.pyannote[1983].start 11575.06596875
transcript.pyannote[1983].end 11579.16659375
transcript.pyannote[1984].speaker SPEAKER_09
transcript.pyannote[1984].start 11576.65221875
transcript.pyannote[1984].end 11579.75721875
transcript.pyannote[1985].speaker SPEAKER_09
transcript.pyannote[1985].start 11580.48284375
transcript.pyannote[1985].end 11580.53346875
transcript.pyannote[1986].speaker SPEAKER_15
transcript.pyannote[1986].start 11580.53346875
transcript.pyannote[1986].end 11583.36846875
transcript.pyannote[1987].speaker SPEAKER_09
transcript.pyannote[1987].start 11582.71034375
transcript.pyannote[1987].end 11582.96346875
transcript.pyannote[1988].speaker SPEAKER_15
transcript.pyannote[1988].start 11583.85784375
transcript.pyannote[1988].end 11585.42721875
transcript.pyannote[1989].speaker SPEAKER_15
transcript.pyannote[1989].start 11585.93346875
transcript.pyannote[1989].end 11599.04534375
transcript.pyannote[1990].speaker SPEAKER_15
transcript.pyannote[1990].start 11599.07909375
transcript.pyannote[1990].end 11602.35284375
transcript.pyannote[1991].speaker SPEAKER_15
transcript.pyannote[1991].start 11602.55534375
transcript.pyannote[1991].end 11602.67346875
transcript.pyannote[1992].speaker SPEAKER_09
transcript.pyannote[1992].start 11602.67346875
transcript.pyannote[1992].end 11605.33971875
transcript.pyannote[1993].speaker SPEAKER_15
transcript.pyannote[1993].start 11605.33971875
transcript.pyannote[1993].end 11627.05784375
transcript.pyannote[1994].speaker SPEAKER_15
transcript.pyannote[1994].start 11628.01971875
transcript.pyannote[1994].end 11635.46159375
transcript.pyannote[1995].speaker SPEAKER_15
transcript.pyannote[1995].start 11635.86659375
transcript.pyannote[1995].end 11640.01784375
transcript.pyannote[1996].speaker SPEAKER_15
transcript.pyannote[1996].start 11641.13159375
transcript.pyannote[1996].end 11644.25346875
transcript.pyannote[1997].speaker SPEAKER_15
transcript.pyannote[1997].start 11644.96221875
transcript.pyannote[1997].end 11647.62846875
transcript.pyannote[1998].speaker SPEAKER_15
transcript.pyannote[1998].start 11648.15159375
transcript.pyannote[1998].end 11650.31159375
transcript.pyannote[1999].speaker SPEAKER_15
transcript.pyannote[1999].start 11650.36221875
transcript.pyannote[1999].end 11660.45346875
transcript.pyannote[2000].speaker SPEAKER_15
transcript.pyannote[2000].start 11661.36471875
transcript.pyannote[2000].end 11704.66596875
transcript.pyannote[2001].speaker SPEAKER_15
transcript.pyannote[2001].start 11705.07096875
transcript.pyannote[2001].end 11712.96846875
transcript.pyannote[2002].speaker SPEAKER_11
transcript.pyannote[2002].start 11712.96846875
transcript.pyannote[2002].end 11713.00221875
transcript.pyannote[2003].speaker SPEAKER_10
transcript.pyannote[2003].start 11713.00221875
transcript.pyannote[2003].end 11713.47471875
transcript.pyannote[2004].speaker SPEAKER_15
transcript.pyannote[2004].start 11714.40284375
transcript.pyannote[2004].end 11714.41971875
transcript.pyannote[2005].speaker SPEAKER_11
transcript.pyannote[2005].start 11714.41971875
transcript.pyannote[2005].end 11719.33034375
transcript.pyannote[2006].speaker SPEAKER_00
transcript.pyannote[2006].start 11726.65409375
transcript.pyannote[2006].end 11731.17659375
transcript.pyannote[2007].speaker SPEAKER_00
transcript.pyannote[2007].start 11735.14221875
transcript.pyannote[2007].end 11737.47096875
transcript.pyannote[2008].speaker SPEAKER_00
transcript.pyannote[2008].start 11737.82534375
transcript.pyannote[2008].end 11741.21721875
transcript.pyannote[2009].speaker SPEAKER_00
transcript.pyannote[2009].start 11741.80784375
transcript.pyannote[2009].end 11748.25409375
transcript.pyannote[2010].speaker SPEAKER_00
transcript.pyannote[2010].start 11748.50721875
transcript.pyannote[2010].end 11751.02159375
transcript.pyannote[2011].speaker SPEAKER_00
transcript.pyannote[2011].start 11751.56159375
transcript.pyannote[2011].end 11755.35846875
transcript.pyannote[2012].speaker SPEAKER_00
transcript.pyannote[2012].start 11755.57784375
transcript.pyannote[2012].end 11755.93221875
transcript.pyannote[2013].speaker SPEAKER_00
transcript.pyannote[2013].start 11756.30346875
transcript.pyannote[2013].end 11759.08784375
transcript.pyannote[2014].speaker SPEAKER_00
transcript.pyannote[2014].start 11759.61096875
transcript.pyannote[2014].end 11760.13409375
transcript.pyannote[2015].speaker SPEAKER_00
transcript.pyannote[2015].start 11760.45471875
transcript.pyannote[2015].end 11764.47096875
transcript.pyannote[2016].speaker SPEAKER_00
transcript.pyannote[2016].start 11764.99409375
transcript.pyannote[2016].end 11766.17534375
transcript.pyannote[2017].speaker SPEAKER_00
transcript.pyannote[2017].start 11766.68159375
transcript.pyannote[2017].end 11768.25096875
transcript.pyannote[2018].speaker SPEAKER_00
transcript.pyannote[2018].start 11768.62221875
transcript.pyannote[2018].end 11769.61784375
transcript.pyannote[2019].speaker SPEAKER_00
transcript.pyannote[2019].start 11770.09034375
transcript.pyannote[2019].end 11772.60471875
transcript.pyannote[2020].speaker SPEAKER_00
transcript.pyannote[2020].start 11772.84096875
transcript.pyannote[2020].end 11775.00096875
transcript.pyannote[2021].speaker SPEAKER_00
transcript.pyannote[2021].start 11775.89534375
transcript.pyannote[2021].end 11778.79784375
transcript.pyannote[2022].speaker SPEAKER_00
transcript.pyannote[2022].start 11779.06784375
transcript.pyannote[2022].end 11780.80596875
transcript.pyannote[2023].speaker SPEAKER_00
transcript.pyannote[2023].start 11781.29534375
transcript.pyannote[2023].end 11783.65784375
transcript.pyannote[2024].speaker SPEAKER_10
transcript.pyannote[2024].start 11784.40034375
transcript.pyannote[2024].end 11784.80534375
transcript.pyannote[2025].speaker SPEAKER_09
transcript.pyannote[2025].start 11785.04159375
transcript.pyannote[2025].end 11785.48034375
transcript.pyannote[2026].speaker SPEAKER_09
transcript.pyannote[2026].start 11785.85159375
transcript.pyannote[2026].end 11787.64034375
transcript.pyannote[2027].speaker SPEAKER_09
transcript.pyannote[2027].start 11787.96096875
transcript.pyannote[2027].end 11790.88034375
transcript.pyannote[2028].speaker SPEAKER_09
transcript.pyannote[2028].start 11791.20096875
transcript.pyannote[2028].end 11792.87159375
transcript.pyannote[2029].speaker SPEAKER_09
transcript.pyannote[2029].start 11793.24284375
transcript.pyannote[2029].end 11797.02284375
transcript.pyannote[2030].speaker SPEAKER_09
transcript.pyannote[2030].start 11797.46159375
transcript.pyannote[2030].end 11797.84971875
transcript.pyannote[2031].speaker SPEAKER_09
transcript.pyannote[2031].start 11798.54159375
transcript.pyannote[2031].end 11799.13221875
transcript.pyannote[2032].speaker SPEAKER_09
transcript.pyannote[2032].start 11799.31784375
transcript.pyannote[2032].end 11801.64659375
transcript.pyannote[2033].speaker SPEAKER_09
transcript.pyannote[2033].start 11802.27096875
transcript.pyannote[2033].end 11803.03034375
transcript.pyannote[2034].speaker SPEAKER_09
transcript.pyannote[2034].start 11804.31284375
transcript.pyannote[2034].end 11809.20659375
transcript.pyannote[2035].speaker SPEAKER_09
transcript.pyannote[2035].start 11809.61159375
transcript.pyannote[2035].end 11820.19221875
transcript.pyannote[2036].speaker SPEAKER_09
transcript.pyannote[2036].start 11820.29346875
transcript.pyannote[2036].end 11821.27221875
transcript.pyannote[2037].speaker SPEAKER_09
transcript.pyannote[2037].start 11821.79534375
transcript.pyannote[2037].end 11827.75221875
transcript.pyannote[2038].speaker SPEAKER_00
transcript.pyannote[2038].start 11826.82409375
transcript.pyannote[2038].end 11830.08096875
transcript.pyannote[2039].speaker SPEAKER_09
transcript.pyannote[2039].start 11830.35096875
transcript.pyannote[2039].end 11835.53159375
transcript.pyannote[2040].speaker SPEAKER_00
transcript.pyannote[2040].start 11834.50221875
transcript.pyannote[2040].end 11835.63284375
transcript.pyannote[2041].speaker SPEAKER_00
transcript.pyannote[2041].start 11836.10534375
transcript.pyannote[2041].end 11837.10096875
transcript.pyannote[2042].speaker SPEAKER_00
transcript.pyannote[2042].start 11838.29909375
transcript.pyannote[2042].end 11841.30284375
transcript.pyannote[2043].speaker SPEAKER_05
transcript.pyannote[2043].start 11841.21846875
transcript.pyannote[2043].end 11841.28596875
transcript.pyannote[2044].speaker SPEAKER_05
transcript.pyannote[2044].start 11841.30284375
transcript.pyannote[2044].end 11841.96096875
transcript.pyannote[2045].speaker SPEAKER_00
transcript.pyannote[2045].start 11841.65721875
transcript.pyannote[2045].end 11845.09971875
transcript.pyannote[2046].speaker SPEAKER_00
transcript.pyannote[2046].start 11845.58909375
transcript.pyannote[2046].end 11859.07221875
transcript.pyannote[2047].speaker SPEAKER_00
transcript.pyannote[2047].start 11859.25784375
transcript.pyannote[2047].end 11870.32784375
transcript.pyannote[2048].speaker SPEAKER_09
transcript.pyannote[2048].start 11870.32784375
transcript.pyannote[2048].end 11875.82909375
transcript.pyannote[2049].speaker SPEAKER_09
transcript.pyannote[2049].start 11875.94721875
transcript.pyannote[2049].end 11890.89846875
transcript.pyannote[2050].speaker SPEAKER_00
transcript.pyannote[2050].start 11891.43846875
transcript.pyannote[2050].end 11894.84721875
transcript.pyannote[2051].speaker SPEAKER_00
transcript.pyannote[2051].start 11895.08346875
transcript.pyannote[2051].end 11900.33159375
transcript.pyannote[2052].speaker SPEAKER_00
transcript.pyannote[2052].start 11900.70284375
transcript.pyannote[2052].end 11902.42409375
transcript.pyannote[2053].speaker SPEAKER_00
transcript.pyannote[2053].start 11902.64346875
transcript.pyannote[2053].end 11923.34909375
transcript.pyannote[2054].speaker SPEAKER_00
transcript.pyannote[2054].start 11923.92284375
transcript.pyannote[2054].end 11929.40721875
transcript.pyannote[2055].speaker SPEAKER_00
transcript.pyannote[2055].start 11929.60971875
transcript.pyannote[2055].end 11932.19159375
transcript.pyannote[2056].speaker SPEAKER_00
transcript.pyannote[2056].start 11932.57971875
transcript.pyannote[2056].end 11933.33909375
transcript.pyannote[2057].speaker SPEAKER_00
transcript.pyannote[2057].start 11933.37284375
transcript.pyannote[2057].end 11941.84409375
transcript.pyannote[2058].speaker SPEAKER_01
transcript.pyannote[2058].start 11933.62596875
transcript.pyannote[2058].end 11933.77784375
transcript.pyannote[2059].speaker SPEAKER_00
transcript.pyannote[2059].start 11942.21534375
transcript.pyannote[2059].end 11947.04159375
transcript.pyannote[2060].speaker SPEAKER_00
transcript.pyannote[2060].start 11947.12596875
transcript.pyannote[2060].end 11955.83346875
transcript.pyannote[2061].speaker SPEAKER_09
transcript.pyannote[2061].start 11955.83346875
transcript.pyannote[2061].end 11955.86721875
transcript.pyannote[2062].speaker SPEAKER_09
transcript.pyannote[2062].start 11956.13721875
transcript.pyannote[2062].end 11956.42409375
transcript.pyannote[2063].speaker SPEAKER_00
transcript.pyannote[2063].start 11956.42409375
transcript.pyannote[2063].end 11956.50846875
transcript.pyannote[2064].speaker SPEAKER_09
transcript.pyannote[2064].start 11956.50846875
transcript.pyannote[2064].end 11956.55909375
transcript.pyannote[2065].speaker SPEAKER_00
transcript.pyannote[2065].start 11956.55909375
transcript.pyannote[2065].end 11956.76159375
transcript.pyannote[2066].speaker SPEAKER_09
transcript.pyannote[2066].start 11956.76159375
transcript.pyannote[2066].end 11956.94721875
transcript.pyannote[2067].speaker SPEAKER_00
transcript.pyannote[2067].start 11956.94721875
transcript.pyannote[2067].end 11956.96409375
transcript.pyannote[2068].speaker SPEAKER_09
transcript.pyannote[2068].start 11956.96409375
transcript.pyannote[2068].end 11979.03659375
transcript.pyannote[2069].speaker SPEAKER_00
transcript.pyannote[2069].start 11979.03659375
transcript.pyannote[2069].end 11979.12096875
transcript.pyannote[2070].speaker SPEAKER_09
transcript.pyannote[2070].start 11979.12096875
transcript.pyannote[2070].end 11979.88034375
transcript.pyannote[2071].speaker SPEAKER_00
transcript.pyannote[2071].start 11979.88034375
transcript.pyannote[2071].end 11990.96721875
transcript.pyannote[2072].speaker SPEAKER_09
transcript.pyannote[2072].start 11985.31409375
transcript.pyannote[2072].end 11987.33909375
transcript.pyannote[2073].speaker SPEAKER_09
transcript.pyannote[2073].start 11990.96721875
transcript.pyannote[2073].end 12016.14471875
transcript.pyannote[2074].speaker SPEAKER_09
transcript.pyannote[2074].start 12016.38096875
transcript.pyannote[2074].end 12019.23284375
transcript.pyannote[2075].speaker SPEAKER_00
transcript.pyannote[2075].start 12018.16971875
transcript.pyannote[2075].end 12039.63471875
transcript.pyannote[2076].speaker SPEAKER_09
transcript.pyannote[2076].start 12019.41846875
transcript.pyannote[2076].end 12019.51971875
transcript.pyannote[2077].speaker SPEAKER_05
transcript.pyannote[2077].start 12028.42971875
transcript.pyannote[2077].end 12029.52659375
transcript.pyannote[2078].speaker SPEAKER_05
transcript.pyannote[2078].start 12040.49534375
transcript.pyannote[2078].end 12041.52471875
transcript.pyannote[2079].speaker SPEAKER_09
transcript.pyannote[2079].start 12041.52471875
transcript.pyannote[2079].end 12043.54971875
transcript.pyannote[2080].speaker SPEAKER_09
transcript.pyannote[2080].start 12043.95471875
transcript.pyannote[2080].end 12044.12346875
transcript.pyannote[2081].speaker SPEAKER_23
transcript.pyannote[2081].start 12044.22471875
transcript.pyannote[2081].end 12056.61096875
transcript.pyannote[2082].speaker SPEAKER_00
transcript.pyannote[2082].start 12056.50971875
transcript.pyannote[2082].end 12073.28346875
transcript.pyannote[2083].speaker SPEAKER_23
transcript.pyannote[2083].start 12057.87659375
transcript.pyannote[2083].end 12058.39971875
transcript.pyannote[2084].speaker SPEAKER_00
transcript.pyannote[2084].start 12073.55346875
transcript.pyannote[2084].end 12087.77909375
transcript.pyannote[2085].speaker SPEAKER_09
transcript.pyannote[2085].start 12087.84659375
transcript.pyannote[2085].end 12088.16721875
transcript.pyannote[2086].speaker SPEAKER_09
transcript.pyannote[2086].start 12088.82534375
transcript.pyannote[2086].end 12091.60971875
transcript.pyannote[2087].speaker SPEAKER_00
transcript.pyannote[2087].start 12091.86284375
transcript.pyannote[2087].end 12092.82471875
transcript.pyannote[2088].speaker SPEAKER_00
transcript.pyannote[2088].start 12093.14534375
transcript.pyannote[2088].end 12094.27596875
transcript.pyannote[2089].speaker SPEAKER_00
transcript.pyannote[2089].start 12094.66409375
transcript.pyannote[2089].end 12096.70596875
transcript.pyannote[2090].speaker SPEAKER_09
transcript.pyannote[2090].start 12096.70596875
transcript.pyannote[2090].end 12096.72284375
transcript.pyannote[2091].speaker SPEAKER_10
transcript.pyannote[2091].start 12096.72284375
transcript.pyannote[2091].end 12097.33034375
transcript.pyannote[2092].speaker SPEAKER_00
transcript.pyannote[2092].start 12097.12784375
transcript.pyannote[2092].end 12097.71846875
transcript.pyannote[2093].speaker SPEAKER_09
transcript.pyannote[2093].start 12097.33034375
transcript.pyannote[2093].end 12097.38096875
transcript.pyannote[2094].speaker SPEAKER_00
transcript.pyannote[2094].start 12097.93784375
transcript.pyannote[2094].end 12099.20346875
transcript.pyannote[2095].speaker SPEAKER_00
transcript.pyannote[2095].start 12099.23721875
transcript.pyannote[2095].end 12101.51534375
transcript.pyannote[2096].speaker SPEAKER_00
transcript.pyannote[2096].start 12101.65034375
transcript.pyannote[2096].end 12102.42659375
transcript.pyannote[2097].speaker SPEAKER_00
transcript.pyannote[2097].start 12102.98346875
transcript.pyannote[2097].end 12104.06346875
transcript.pyannote[2098].speaker SPEAKER_00
transcript.pyannote[2098].start 12104.38409375
transcript.pyannote[2098].end 12108.72096875
transcript.pyannote[2099].speaker SPEAKER_10
transcript.pyannote[2099].start 12104.63721875
transcript.pyannote[2099].end 12104.77221875
transcript.pyannote[2100].speaker SPEAKER_11
transcript.pyannote[2100].start 12104.77221875
transcript.pyannote[2100].end 12104.80596875
transcript.pyannote[2101].speaker SPEAKER_10
transcript.pyannote[2101].start 12104.80596875
transcript.pyannote[2101].end 12104.97471875
transcript.pyannote[2102].speaker SPEAKER_11
transcript.pyannote[2102].start 12104.97471875
transcript.pyannote[2102].end 12105.39659375
transcript.pyannote[2103].speaker SPEAKER_11
transcript.pyannote[2103].start 12108.26534375
transcript.pyannote[2103].end 12109.29471875
transcript.pyannote[2104].speaker SPEAKER_11
transcript.pyannote[2104].start 12109.93596875
transcript.pyannote[2104].end 12115.60596875
transcript.pyannote[2105].speaker SPEAKER_25
transcript.pyannote[2105].start 12133.20659375
transcript.pyannote[2105].end 12135.01221875
transcript.pyannote[2106].speaker SPEAKER_11
transcript.pyannote[2106].start 12135.28221875
transcript.pyannote[2106].end 12136.04159375
transcript.pyannote[2107].speaker SPEAKER_11
transcript.pyannote[2107].start 12140.56409375
transcript.pyannote[2107].end 12140.96909375
transcript.pyannote[2108].speaker SPEAKER_10
transcript.pyannote[2108].start 12140.96909375
transcript.pyannote[2108].end 12141.13784375
transcript.pyannote[2109].speaker SPEAKER_25
transcript.pyannote[2109].start 12141.50909375
transcript.pyannote[2109].end 12146.74034375
transcript.pyannote[2110].speaker SPEAKER_25
transcript.pyannote[2110].start 12147.90471875
transcript.pyannote[2110].end 12149.57534375
transcript.pyannote[2111].speaker SPEAKER_25
transcript.pyannote[2111].start 12150.13221875
transcript.pyannote[2111].end 12153.50721875
transcript.pyannote[2112].speaker SPEAKER_25
transcript.pyannote[2112].start 12154.50284375
transcript.pyannote[2112].end 12160.02096875
transcript.pyannote[2113].speaker SPEAKER_25
transcript.pyannote[2113].start 12160.66221875
transcript.pyannote[2113].end 12162.07971875
transcript.pyannote[2114].speaker SPEAKER_25
transcript.pyannote[2114].start 12162.87284375
transcript.pyannote[2114].end 12164.40846875
transcript.pyannote[2115].speaker SPEAKER_25
transcript.pyannote[2115].start 12164.96534375
transcript.pyannote[2115].end 12165.48846875
transcript.pyannote[2116].speaker SPEAKER_25
transcript.pyannote[2116].start 12166.02846875
transcript.pyannote[2116].end 12167.22659375
transcript.pyannote[2117].speaker SPEAKER_25
transcript.pyannote[2117].start 12167.63159375
transcript.pyannote[2117].end 12168.03659375
transcript.pyannote[2118].speaker SPEAKER_25
transcript.pyannote[2118].start 12168.45846875
transcript.pyannote[2118].end 12169.67346875
transcript.pyannote[2119].speaker SPEAKER_25
transcript.pyannote[2119].start 12170.34846875
transcript.pyannote[2119].end 12170.83784375
transcript.pyannote[2120].speaker SPEAKER_25
transcript.pyannote[2120].start 12171.58034375
transcript.pyannote[2120].end 12174.61784375
transcript.pyannote[2121].speaker SPEAKER_25
transcript.pyannote[2121].start 12175.00596875
transcript.pyannote[2121].end 12177.36846875
transcript.pyannote[2122].speaker SPEAKER_25
transcript.pyannote[2122].start 12177.97596875
transcript.pyannote[2122].end 12178.78596875
transcript.pyannote[2123].speaker SPEAKER_25
transcript.pyannote[2123].start 12179.35971875
transcript.pyannote[2123].end 12180.84471875
transcript.pyannote[2124].speaker SPEAKER_25
transcript.pyannote[2124].start 12181.45221875
transcript.pyannote[2124].end 12182.51534375
transcript.pyannote[2125].speaker SPEAKER_25
transcript.pyannote[2125].start 12183.20721875
transcript.pyannote[2125].end 12184.33784375
transcript.pyannote[2126].speaker SPEAKER_25
transcript.pyannote[2126].start 12185.01284375
transcript.pyannote[2126].end 12186.17721875
transcript.pyannote[2127].speaker SPEAKER_25
transcript.pyannote[2127].start 12186.70034375
transcript.pyannote[2127].end 12188.05034375
transcript.pyannote[2128].speaker SPEAKER_25
transcript.pyannote[2128].start 12188.40471875
transcript.pyannote[2128].end 12189.07971875
transcript.pyannote[2129].speaker SPEAKER_25
transcript.pyannote[2129].start 12189.70409375
transcript.pyannote[2129].end 12190.00784375
transcript.pyannote[2130].speaker SPEAKER_25
transcript.pyannote[2130].start 12190.66596875
transcript.pyannote[2130].end 12191.37471875
transcript.pyannote[2131].speaker SPEAKER_25
transcript.pyannote[2131].start 12191.84721875
transcript.pyannote[2131].end 12194.39534375
transcript.pyannote[2132].speaker SPEAKER_25
transcript.pyannote[2132].start 12195.07034375
transcript.pyannote[2132].end 12195.91409375
transcript.pyannote[2133].speaker SPEAKER_25
transcript.pyannote[2133].start 12196.74096875
transcript.pyannote[2133].end 12198.22596875
transcript.pyannote[2134].speaker SPEAKER_25
transcript.pyannote[2134].start 12198.78284375
transcript.pyannote[2134].end 12200.23409375
transcript.pyannote[2135].speaker SPEAKER_25
transcript.pyannote[2135].start 12202.05659375
transcript.pyannote[2135].end 12203.86221875
transcript.pyannote[2136].speaker SPEAKER_25
transcript.pyannote[2136].start 12204.84096875
transcript.pyannote[2136].end 12207.92909375
transcript.pyannote[2137].speaker SPEAKER_25
transcript.pyannote[2137].start 12208.53659375
transcript.pyannote[2137].end 12209.26221875
transcript.pyannote[2138].speaker SPEAKER_25
transcript.pyannote[2138].start 12209.92034375
transcript.pyannote[2138].end 12211.11846875
transcript.pyannote[2139].speaker SPEAKER_25
transcript.pyannote[2139].start 12211.50659375
transcript.pyannote[2139].end 12212.16471875
transcript.pyannote[2140].speaker SPEAKER_25
transcript.pyannote[2140].start 12212.83971875
transcript.pyannote[2140].end 12216.63659375
transcript.pyannote[2141].speaker SPEAKER_09
transcript.pyannote[2141].start 12219.08346875
transcript.pyannote[2141].end 12220.41659375
transcript.pyannote[2142].speaker SPEAKER_09
transcript.pyannote[2142].start 12221.41221875
transcript.pyannote[2142].end 12222.07034375
transcript.pyannote[2143].speaker SPEAKER_09
transcript.pyannote[2143].start 12222.91409375
transcript.pyannote[2143].end 12224.90534375
transcript.pyannote[2144].speaker SPEAKER_09
transcript.pyannote[2144].start 12225.47909375
transcript.pyannote[2144].end 12226.12034375
transcript.pyannote[2145].speaker SPEAKER_09
transcript.pyannote[2145].start 12226.39034375
transcript.pyannote[2145].end 12227.77409375
transcript.pyannote[2146].speaker SPEAKER_24
transcript.pyannote[2146].start 12227.20034375
transcript.pyannote[2146].end 12229.17471875
transcript.pyannote[2147].speaker SPEAKER_24
transcript.pyannote[2147].start 12231.89159375
transcript.pyannote[2147].end 12232.65096875
transcript.pyannote[2148].speaker SPEAKER_09
transcript.pyannote[2148].start 12233.24159375
transcript.pyannote[2148].end 12234.00096875
transcript.pyannote[2149].speaker SPEAKER_09
transcript.pyannote[2149].start 12234.47346875
transcript.pyannote[2149].end 12234.50721875
transcript.pyannote[2150].speaker SPEAKER_24
transcript.pyannote[2150].start 12234.50721875
transcript.pyannote[2150].end 12235.70534375
transcript.pyannote[2151].speaker SPEAKER_09
transcript.pyannote[2151].start 12234.52409375
transcript.pyannote[2151].end 12234.67596875
transcript.pyannote[2152].speaker SPEAKER_09
transcript.pyannote[2152].start 12236.11034375
transcript.pyannote[2152].end 12237.71346875
transcript.pyannote[2153].speaker SPEAKER_24
transcript.pyannote[2153].start 12237.24096875
transcript.pyannote[2153].end 12238.54034375
transcript.pyannote[2154].speaker SPEAKER_09
transcript.pyannote[2154].start 12238.82721875
transcript.pyannote[2154].end 12244.64909375
transcript.pyannote[2155].speaker SPEAKER_25
transcript.pyannote[2155].start 12242.32034375
transcript.pyannote[2155].end 12260.03909375
transcript.pyannote[2156].speaker SPEAKER_10
transcript.pyannote[2156].start 12259.87034375
transcript.pyannote[2156].end 12259.97159375
transcript.pyannote[2157].speaker SPEAKER_09
transcript.pyannote[2157].start 12260.03909375
transcript.pyannote[2157].end 12260.08971875
transcript.pyannote[2158].speaker SPEAKER_25
transcript.pyannote[2158].start 12260.08971875
transcript.pyannote[2158].end 12261.70971875
transcript.pyannote[2159].speaker SPEAKER_25
transcript.pyannote[2159].start 12262.46909375
transcript.pyannote[2159].end 12263.02596875
transcript.pyannote[2160].speaker SPEAKER_09
transcript.pyannote[2160].start 12263.48159375
transcript.pyannote[2160].end 12270.67034375
transcript.pyannote[2161].speaker SPEAKER_25
transcript.pyannote[2161].start 12269.75909375
transcript.pyannote[2161].end 12271.59846875
transcript.pyannote[2162].speaker SPEAKER_09
transcript.pyannote[2162].start 12270.90659375
transcript.pyannote[2162].end 12273.70784375
transcript.pyannote[2163].speaker SPEAKER_09
transcript.pyannote[2163].start 12274.21409375
transcript.pyannote[2163].end 12282.85409375
transcript.pyannote[2164].speaker SPEAKER_25
transcript.pyannote[2164].start 12279.52971875
transcript.pyannote[2164].end 12285.89159375
transcript.pyannote[2165].speaker SPEAKER_25
transcript.pyannote[2165].start 12286.44846875
transcript.pyannote[2165].end 12294.66659375
transcript.pyannote[2166].speaker SPEAKER_25
transcript.pyannote[2166].start 12294.97034375
transcript.pyannote[2166].end 12302.96909375
transcript.pyannote[2167].speaker SPEAKER_09
transcript.pyannote[2167].start 12302.96909375
transcript.pyannote[2167].end 12311.60909375
transcript.pyannote[2168].speaker SPEAKER_09
transcript.pyannote[2168].start 12311.91284375
transcript.pyannote[2168].end 12313.97159375
transcript.pyannote[2169].speaker SPEAKER_08
transcript.pyannote[2169].start 12313.97159375
transcript.pyannote[2169].end 12315.69284375
transcript.pyannote[2170].speaker SPEAKER_25
transcript.pyannote[2170].start 12315.69284375
transcript.pyannote[2170].end 12317.86971875
transcript.pyannote[2171].speaker SPEAKER_08
transcript.pyannote[2171].start 12318.62909375
transcript.pyannote[2171].end 12318.64596875
transcript.pyannote[2172].speaker SPEAKER_25
transcript.pyannote[2172].start 12318.64596875
transcript.pyannote[2172].end 12319.18596875
transcript.pyannote[2173].speaker SPEAKER_09
transcript.pyannote[2173].start 12319.89471875
transcript.pyannote[2173].end 12319.91159375
transcript.pyannote[2174].speaker SPEAKER_25
transcript.pyannote[2174].start 12319.91159375
transcript.pyannote[2174].end 12321.97034375
transcript.pyannote[2175].speaker SPEAKER_09
transcript.pyannote[2175].start 12321.97034375
transcript.pyannote[2175].end 12329.64846875
transcript.pyannote[2176].speaker SPEAKER_25
transcript.pyannote[2176].start 12327.23534375
transcript.pyannote[2176].end 12328.29846875
transcript.pyannote[2177].speaker SPEAKER_07
transcript.pyannote[2177].start 12328.41659375
transcript.pyannote[2177].end 12328.45034375
transcript.pyannote[2178].speaker SPEAKER_25
transcript.pyannote[2178].start 12328.45034375
transcript.pyannote[2178].end 12329.58096875
transcript.pyannote[2179].speaker SPEAKER_25
transcript.pyannote[2179].start 12329.64846875
transcript.pyannote[2179].end 12333.73221875
transcript.pyannote[2180].speaker SPEAKER_25
transcript.pyannote[2180].start 12334.57596875
transcript.pyannote[2180].end 12353.47596875
transcript.pyannote[2181].speaker SPEAKER_09
transcript.pyannote[2181].start 12355.46721875
transcript.pyannote[2181].end 12360.54659375
transcript.pyannote[2182].speaker SPEAKER_25
transcript.pyannote[2182].start 12360.54659375
transcript.pyannote[2182].end 12360.56346875
transcript.pyannote[2183].speaker SPEAKER_09
transcript.pyannote[2183].start 12361.55909375
transcript.pyannote[2183].end 12361.57596875
transcript.pyannote[2184].speaker SPEAKER_25
transcript.pyannote[2184].start 12361.57596875
transcript.pyannote[2184].end 12364.20846875
transcript.pyannote[2185].speaker SPEAKER_25
transcript.pyannote[2185].start 12364.73159375
transcript.pyannote[2185].end 12367.97159375
transcript.pyannote[2186].speaker SPEAKER_25
transcript.pyannote[2186].start 12368.81534375
transcript.pyannote[2186].end 12370.08096875
transcript.pyannote[2187].speaker SPEAKER_25
transcript.pyannote[2187].start 12370.55346875
transcript.pyannote[2187].end 12373.86096875
transcript.pyannote[2188].speaker SPEAKER_25
transcript.pyannote[2188].start 12374.08034375
transcript.pyannote[2188].end 12374.92409375
transcript.pyannote[2189].speaker SPEAKER_09
transcript.pyannote[2189].start 12377.35409375
transcript.pyannote[2189].end 12378.63659375
transcript.pyannote[2190].speaker SPEAKER_09
transcript.pyannote[2190].start 12378.83909375
transcript.pyannote[2190].end 12382.34909375
transcript.pyannote[2191].speaker SPEAKER_25
transcript.pyannote[2191].start 12380.54346875
transcript.pyannote[2191].end 12389.70659375
transcript.pyannote[2192].speaker SPEAKER_09
transcript.pyannote[2192].start 12385.96034375
transcript.pyannote[2192].end 12385.97721875
transcript.pyannote[2193].speaker SPEAKER_25
transcript.pyannote[2193].start 12390.53346875
transcript.pyannote[2193].end 12394.33034375
transcript.pyannote[2194].speaker SPEAKER_25
transcript.pyannote[2194].start 12394.68471875
transcript.pyannote[2194].end 12396.13596875
transcript.pyannote[2195].speaker SPEAKER_09
transcript.pyannote[2195].start 12396.96284375
transcript.pyannote[2195].end 12397.01346875
transcript.pyannote[2196].speaker SPEAKER_10
transcript.pyannote[2196].start 12397.01346875
transcript.pyannote[2196].end 12397.03034375
transcript.pyannote[2197].speaker SPEAKER_09
transcript.pyannote[2197].start 12397.03034375
transcript.pyannote[2197].end 12397.06409375
transcript.pyannote[2198].speaker SPEAKER_25
transcript.pyannote[2198].start 12397.06409375
transcript.pyannote[2198].end 12402.07596875
transcript.pyannote[2199].speaker SPEAKER_09
transcript.pyannote[2199].start 12397.09784375
transcript.pyannote[2199].end 12397.51971875
transcript.pyannote[2200].speaker SPEAKER_09
transcript.pyannote[2200].start 12400.94534375
transcript.pyannote[2200].end 12405.61971875
transcript.pyannote[2201].speaker SPEAKER_25
transcript.pyannote[2201].start 12405.61971875
transcript.pyannote[2201].end 12405.65346875
transcript.pyannote[2202].speaker SPEAKER_09
transcript.pyannote[2202].start 12405.65346875
transcript.pyannote[2202].end 12405.67034375
transcript.pyannote[2203].speaker SPEAKER_25
transcript.pyannote[2203].start 12405.67034375
transcript.pyannote[2203].end 12408.69096875
transcript.pyannote[2204].speaker SPEAKER_09
transcript.pyannote[2204].start 12408.28596875
transcript.pyannote[2204].end 12410.88471875
transcript.pyannote[2205].speaker SPEAKER_25
transcript.pyannote[2205].start 12409.14659375
transcript.pyannote[2205].end 12433.56471875
transcript.pyannote[2206].speaker SPEAKER_09
transcript.pyannote[2206].start 12433.56471875
transcript.pyannote[2206].end 12433.58159375
transcript.pyannote[2207].speaker SPEAKER_09
transcript.pyannote[2207].start 12436.18034375
transcript.pyannote[2207].end 12442.03596875
transcript.pyannote[2208].speaker SPEAKER_25
transcript.pyannote[2208].start 12442.03596875
transcript.pyannote[2208].end 12445.95096875
transcript.pyannote[2209].speaker SPEAKER_09
transcript.pyannote[2209].start 12442.06971875
transcript.pyannote[2209].end 12443.25096875
transcript.pyannote[2210].speaker SPEAKER_08
transcript.pyannote[2210].start 12443.25096875
transcript.pyannote[2210].end 12443.38596875
transcript.pyannote[2211].speaker SPEAKER_09
transcript.pyannote[2211].start 12443.38596875
transcript.pyannote[2211].end 12444.36471875
transcript.pyannote[2212].speaker SPEAKER_25
transcript.pyannote[2212].start 12446.27159375
transcript.pyannote[2212].end 12448.75221875
transcript.pyannote[2213].speaker SPEAKER_25
transcript.pyannote[2213].start 12449.29221875
transcript.pyannote[2213].end 12450.32159375
transcript.pyannote[2214].speaker SPEAKER_25
transcript.pyannote[2214].start 12450.69284375
transcript.pyannote[2214].end 12451.78971875
transcript.pyannote[2215].speaker SPEAKER_25
transcript.pyannote[2215].start 12452.34659375
transcript.pyannote[2215].end 12454.10159375
transcript.pyannote[2216].speaker SPEAKER_25
transcript.pyannote[2216].start 12454.60784375
transcript.pyannote[2216].end 12459.90659375
transcript.pyannote[2217].speaker SPEAKER_25
transcript.pyannote[2217].start 12460.71659375
transcript.pyannote[2217].end 12466.40346875
transcript.pyannote[2218].speaker SPEAKER_25
transcript.pyannote[2218].start 12466.99409375
transcript.pyannote[2218].end 12468.64784375
transcript.pyannote[2219].speaker SPEAKER_25
transcript.pyannote[2219].start 12468.98534375
transcript.pyannote[2219].end 12469.89659375
transcript.pyannote[2220].speaker SPEAKER_09
transcript.pyannote[2220].start 12471.43221875
transcript.pyannote[2220].end 12481.54034375
transcript.pyannote[2221].speaker SPEAKER_25
transcript.pyannote[2221].start 12477.57471875
transcript.pyannote[2221].end 12477.67596875
transcript.pyannote[2222].speaker SPEAKER_25
transcript.pyannote[2222].start 12481.59096875
transcript.pyannote[2222].end 12482.38409375
transcript.pyannote[2223].speaker SPEAKER_25
transcript.pyannote[2223].start 12482.97471875
transcript.pyannote[2223].end 12484.86471875
transcript.pyannote[2224].speaker SPEAKER_25
transcript.pyannote[2224].start 12485.16846875
transcript.pyannote[2224].end 12488.72909375
transcript.pyannote[2225].speaker SPEAKER_25
transcript.pyannote[2225].start 12489.57284375
transcript.pyannote[2225].end 12491.68221875
transcript.pyannote[2226].speaker SPEAKER_25
transcript.pyannote[2226].start 12492.52596875
transcript.pyannote[2226].end 12498.53346875
transcript.pyannote[2227].speaker SPEAKER_25
transcript.pyannote[2227].start 12498.63471875
transcript.pyannote[2227].end 12500.45721875
transcript.pyannote[2228].speaker SPEAKER_09
transcript.pyannote[2228].start 12501.52034375
transcript.pyannote[2228].end 12504.89534375
transcript.pyannote[2229].speaker SPEAKER_25
transcript.pyannote[2229].start 12503.86596875
transcript.pyannote[2229].end 12505.67159375
transcript.pyannote[2230].speaker SPEAKER_09
transcript.pyannote[2230].start 12505.19909375
transcript.pyannote[2230].end 12505.78971875
transcript.pyannote[2231].speaker SPEAKER_25
transcript.pyannote[2231].start 12505.78971875
transcript.pyannote[2231].end 12509.53596875
transcript.pyannote[2232].speaker SPEAKER_09
transcript.pyannote[2232].start 12507.81471875
transcript.pyannote[2232].end 12508.82721875
transcript.pyannote[2233].speaker SPEAKER_25
transcript.pyannote[2233].start 12511.69596875
transcript.pyannote[2233].end 12514.21034375
transcript.pyannote[2234].speaker SPEAKER_09
transcript.pyannote[2234].start 12515.37471875
transcript.pyannote[2234].end 12516.53909375
transcript.pyannote[2235].speaker SPEAKER_25
transcript.pyannote[2235].start 12517.53471875
transcript.pyannote[2235].end 12519.57659375
transcript.pyannote[2236].speaker SPEAKER_25
transcript.pyannote[2236].start 12520.23471875
transcript.pyannote[2236].end 12522.98534375
transcript.pyannote[2237].speaker SPEAKER_09
transcript.pyannote[2237].start 12523.62659375
transcript.pyannote[2237].end 12523.64346875
transcript.pyannote[2238].speaker SPEAKER_08
transcript.pyannote[2238].start 12523.64346875
transcript.pyannote[2238].end 12524.14971875
transcript.pyannote[2239].speaker SPEAKER_25
transcript.pyannote[2239].start 12524.14971875
transcript.pyannote[2239].end 12524.33534375
transcript.pyannote[2240].speaker SPEAKER_08
transcript.pyannote[2240].start 12524.33534375
transcript.pyannote[2240].end 12524.36909375
transcript.pyannote[2241].speaker SPEAKER_25
transcript.pyannote[2241].start 12524.36909375
transcript.pyannote[2241].end 12524.40284375
transcript.pyannote[2242].speaker SPEAKER_08
transcript.pyannote[2242].start 12524.40284375
transcript.pyannote[2242].end 12525.19596875
transcript.pyannote[2243].speaker SPEAKER_25
transcript.pyannote[2243].start 12525.19596875
transcript.pyannote[2243].end 12525.39846875
transcript.pyannote[2244].speaker SPEAKER_08
transcript.pyannote[2244].start 12525.39846875
transcript.pyannote[2244].end 12525.48284375
transcript.pyannote[2245].speaker SPEAKER_25
transcript.pyannote[2245].start 12525.48284375
transcript.pyannote[2245].end 12525.70221875
transcript.pyannote[2246].speaker SPEAKER_08
transcript.pyannote[2246].start 12525.70221875
transcript.pyannote[2246].end 12526.17471875
transcript.pyannote[2247].speaker SPEAKER_25
transcript.pyannote[2247].start 12526.17471875
transcript.pyannote[2247].end 12528.25034375
transcript.pyannote[2248].speaker SPEAKER_25
transcript.pyannote[2248].start 12528.90846875
transcript.pyannote[2248].end 12530.71409375
transcript.pyannote[2249].speaker SPEAKER_25
transcript.pyannote[2249].start 12531.49034375
transcript.pyannote[2249].end 12532.72221875
transcript.pyannote[2250].speaker SPEAKER_25
transcript.pyannote[2250].start 12533.32971875
transcript.pyannote[2250].end 12541.78409375
transcript.pyannote[2251].speaker SPEAKER_25
transcript.pyannote[2251].start 12542.08784375
transcript.pyannote[2251].end 12547.92659375
transcript.pyannote[2252].speaker SPEAKER_25
transcript.pyannote[2252].start 12548.26409375
transcript.pyannote[2252].end 12556.06034375
transcript.pyannote[2253].speaker SPEAKER_25
transcript.pyannote[2253].start 12556.87034375
transcript.pyannote[2253].end 12560.85284375
transcript.pyannote[2254].speaker SPEAKER_25
transcript.pyannote[2254].start 12561.35909375
transcript.pyannote[2254].end 12563.01284375
transcript.pyannote[2255].speaker SPEAKER_25
transcript.pyannote[2255].start 12564.16034375
transcript.pyannote[2255].end 12567.11346875
transcript.pyannote[2256].speaker SPEAKER_25
transcript.pyannote[2256].start 12567.82221875
transcript.pyannote[2256].end 12569.72909375
transcript.pyannote[2257].speaker SPEAKER_25
transcript.pyannote[2257].start 12570.18471875
transcript.pyannote[2257].end 12573.37409375
transcript.pyannote[2258].speaker SPEAKER_25
transcript.pyannote[2258].start 12573.72846875
transcript.pyannote[2258].end 12579.88784375
transcript.pyannote[2259].speaker SPEAKER_25
transcript.pyannote[2259].start 12580.49534375
transcript.pyannote[2259].end 12585.01784375
transcript.pyannote[2260].speaker SPEAKER_25
transcript.pyannote[2260].start 12586.28346875
transcript.pyannote[2260].end 12589.74284375
transcript.pyannote[2261].speaker SPEAKER_25
transcript.pyannote[2261].start 12590.29971875
transcript.pyannote[2261].end 12594.78846875
transcript.pyannote[2262].speaker SPEAKER_09
transcript.pyannote[2262].start 12597.47159375
transcript.pyannote[2262].end 12599.29409375
transcript.pyannote[2263].speaker SPEAKER_25
transcript.pyannote[2263].start 12599.29409375
transcript.pyannote[2263].end 12610.12784375
transcript.pyannote[2264].speaker SPEAKER_25
transcript.pyannote[2264].start 12611.27534375
transcript.pyannote[2264].end 12616.59096875
transcript.pyannote[2265].speaker SPEAKER_09
transcript.pyannote[2265].start 12616.59096875
transcript.pyannote[2265].end 12617.06346875
transcript.pyannote[2266].speaker SPEAKER_09
transcript.pyannote[2266].start 12617.43471875
transcript.pyannote[2266].end 12623.39159375
transcript.pyannote[2267].speaker SPEAKER_25
transcript.pyannote[2267].start 12623.17221875
transcript.pyannote[2267].end 12628.90971875
transcript.pyannote[2268].speaker SPEAKER_09
transcript.pyannote[2268].start 12624.91034375
transcript.pyannote[2268].end 12624.92721875
transcript.pyannote[2269].speaker SPEAKER_08
transcript.pyannote[2269].start 12624.92721875
transcript.pyannote[2269].end 12625.06221875
transcript.pyannote[2270].speaker SPEAKER_09
transcript.pyannote[2270].start 12625.06221875
transcript.pyannote[2270].end 12625.12971875
transcript.pyannote[2271].speaker SPEAKER_08
transcript.pyannote[2271].start 12627.23909375
transcript.pyannote[2271].end 12627.44159375
transcript.pyannote[2272].speaker SPEAKER_08
transcript.pyannote[2272].start 12628.31909375
transcript.pyannote[2272].end 12630.09096875
transcript.pyannote[2273].speaker SPEAKER_25
transcript.pyannote[2273].start 12629.17971875
transcript.pyannote[2273].end 12639.72659375
transcript.pyannote[2274].speaker SPEAKER_09
transcript.pyannote[2274].start 12638.73096875
transcript.pyannote[2274].end 12644.09721875
transcript.pyannote[2275].speaker SPEAKER_09
transcript.pyannote[2275].start 12644.80596875
transcript.pyannote[2275].end 12652.07909375
transcript.pyannote[2276].speaker SPEAKER_25
transcript.pyannote[2276].start 12645.90284375
transcript.pyannote[2276].end 12646.99971875
transcript.pyannote[2277].speaker SPEAKER_25
transcript.pyannote[2277].start 12652.07909375
transcript.pyannote[2277].end 12653.00721875
transcript.pyannote[2278].speaker SPEAKER_25
transcript.pyannote[2278].start 12653.29409375
transcript.pyannote[2278].end 12657.63096875
transcript.pyannote[2279].speaker SPEAKER_09
transcript.pyannote[2279].start 12658.50846875
transcript.pyannote[2279].end 12661.79909375
transcript.pyannote[2280].speaker SPEAKER_09
transcript.pyannote[2280].start 12662.32221875
transcript.pyannote[2280].end 12662.45721875
transcript.pyannote[2281].speaker SPEAKER_25
transcript.pyannote[2281].start 12662.45721875
transcript.pyannote[2281].end 12662.50784375
transcript.pyannote[2282].speaker SPEAKER_09
transcript.pyannote[2282].start 12662.50784375
transcript.pyannote[2282].end 12662.52471875
transcript.pyannote[2283].speaker SPEAKER_25
transcript.pyannote[2283].start 12662.52471875
transcript.pyannote[2283].end 12662.54159375
transcript.pyannote[2284].speaker SPEAKER_09
transcript.pyannote[2284].start 12662.54159375
transcript.pyannote[2284].end 12662.62596875
transcript.pyannote[2285].speaker SPEAKER_25
transcript.pyannote[2285].start 12662.62596875
transcript.pyannote[2285].end 12663.21659375
transcript.pyannote[2286].speaker SPEAKER_09
transcript.pyannote[2286].start 12663.21659375
transcript.pyannote[2286].end 12664.00971875
transcript.pyannote[2287].speaker SPEAKER_25
transcript.pyannote[2287].start 12664.00971875
transcript.pyannote[2287].end 12664.43159375
transcript.pyannote[2288].speaker SPEAKER_09
transcript.pyannote[2288].start 12664.43159375
transcript.pyannote[2288].end 12670.74284375
transcript.pyannote[2289].speaker SPEAKER_25
transcript.pyannote[2289].start 12664.56659375
transcript.pyannote[2289].end 12665.39346875
transcript.pyannote[2290].speaker SPEAKER_08
transcript.pyannote[2290].start 12668.65034375
transcript.pyannote[2290].end 12668.66721875
transcript.pyannote[2291].speaker SPEAKER_25
transcript.pyannote[2291].start 12668.66721875
transcript.pyannote[2291].end 12678.42096875
transcript.pyannote[2292].speaker SPEAKER_11
transcript.pyannote[2292].start 12678.23534375
transcript.pyannote[2292].end 12681.00284375
transcript.pyannote[2293].speaker SPEAKER_25
transcript.pyannote[2293].start 12678.82596875
transcript.pyannote[2293].end 12679.66971875
transcript.pyannote[2294].speaker SPEAKER_11
transcript.pyannote[2294].start 12681.30659375
transcript.pyannote[2294].end 12683.75346875
transcript.pyannote[2295].speaker SPEAKER_25
transcript.pyannote[2295].start 12682.42034375
transcript.pyannote[2295].end 12684.78284375
transcript.pyannote[2296].speaker SPEAKER_11
transcript.pyannote[2296].start 12684.22596875
transcript.pyannote[2296].end 12684.37784375
transcript.pyannote[2297].speaker SPEAKER_11
transcript.pyannote[2297].start 12684.66471875
transcript.pyannote[2297].end 12687.60096875
transcript.pyannote[2298].speaker SPEAKER_25
transcript.pyannote[2298].start 12685.25534375
transcript.pyannote[2298].end 12687.14534375
transcript.pyannote[2299].speaker SPEAKER_11
transcript.pyannote[2299].start 12687.78659375
transcript.pyannote[2299].end 12687.87096875
transcript.pyannote[2300].speaker SPEAKER_25
transcript.pyannote[2300].start 12688.12409375
transcript.pyannote[2300].end 12690.25034375
transcript.pyannote[2301].speaker SPEAKER_11
transcript.pyannote[2301].start 12694.62096875
transcript.pyannote[2301].end 12695.63346875
transcript.pyannote[2302].speaker SPEAKER_11
transcript.pyannote[2302].start 12696.24096875
transcript.pyannote[2302].end 12698.48534375
transcript.pyannote[2303].speaker SPEAKER_11
transcript.pyannote[2303].start 12698.82284375
transcript.pyannote[2303].end 12700.51034375
transcript.pyannote[2304].speaker SPEAKER_11
transcript.pyannote[2304].start 12701.53971875
transcript.pyannote[2304].end 12703.46346875
transcript.pyannote[2305].speaker SPEAKER_25
transcript.pyannote[2305].start 12703.58159375
transcript.pyannote[2305].end 12703.61534375
transcript.pyannote[2306].speaker SPEAKER_11
transcript.pyannote[2306].start 12703.61534375
transcript.pyannote[2306].end 12704.12159375
transcript.pyannote[2307].speaker SPEAKER_25
transcript.pyannote[2307].start 12704.12159375
transcript.pyannote[2307].end 12706.26471875
transcript.pyannote[2308].speaker SPEAKER_11
transcript.pyannote[2308].start 12704.13846875
transcript.pyannote[2308].end 12707.41221875
transcript.pyannote[2309].speaker SPEAKER_11
transcript.pyannote[2309].start 12707.76659375
transcript.pyannote[2309].end 12710.38221875
transcript.pyannote[2310].speaker SPEAKER_04
transcript.pyannote[2310].start 12718.60034375
transcript.pyannote[2310].end 12719.69721875
transcript.pyannote[2311].speaker SPEAKER_04
transcript.pyannote[2311].start 12720.64221875
transcript.pyannote[2311].end 12721.51971875
transcript.pyannote[2312].speaker SPEAKER_04
transcript.pyannote[2312].start 12722.11034375
transcript.pyannote[2312].end 12723.37596875
transcript.pyannote[2313].speaker SPEAKER_11
transcript.pyannote[2313].start 12723.37596875
transcript.pyannote[2313].end 12723.39284375
transcript.pyannote[2314].speaker SPEAKER_04
transcript.pyannote[2314].start 12723.91596875
transcript.pyannote[2314].end 12724.70909375
transcript.pyannote[2315].speaker SPEAKER_11
transcript.pyannote[2315].start 12724.70909375
transcript.pyannote[2315].end 12724.72596875
transcript.pyannote[2316].speaker SPEAKER_04
transcript.pyannote[2316].start 12724.72596875
transcript.pyannote[2316].end 12724.74284375
transcript.pyannote[2317].speaker SPEAKER_04
transcript.pyannote[2317].start 12729.07971875
transcript.pyannote[2317].end 12729.58596875
transcript.pyannote[2318].speaker SPEAKER_04
transcript.pyannote[2318].start 12729.99096875
transcript.pyannote[2318].end 12730.32846875
transcript.pyannote[2319].speaker SPEAKER_04
transcript.pyannote[2319].start 12731.29034375
transcript.pyannote[2319].end 12732.40409375
transcript.pyannote[2320].speaker SPEAKER_04
transcript.pyannote[2320].start 12732.62346875
transcript.pyannote[2320].end 12733.29846875
transcript.pyannote[2321].speaker SPEAKER_04
transcript.pyannote[2321].start 12734.32784375
transcript.pyannote[2321].end 12735.07034375
transcript.pyannote[2322].speaker SPEAKER_04
transcript.pyannote[2322].start 12735.72846875
transcript.pyannote[2322].end 12737.04471875
transcript.pyannote[2323].speaker SPEAKER_04
transcript.pyannote[2323].start 12737.87159375
transcript.pyannote[2323].end 12739.27221875
transcript.pyannote[2324].speaker SPEAKER_04
transcript.pyannote[2324].start 12739.72784375
transcript.pyannote[2324].end 12741.97221875
transcript.pyannote[2325].speaker SPEAKER_04
transcript.pyannote[2325].start 12742.64721875
transcript.pyannote[2325].end 12743.57534375
transcript.pyannote[2326].speaker SPEAKER_04
transcript.pyannote[2326].start 12744.11534375
transcript.pyannote[2326].end 12744.73971875
transcript.pyannote[2327].speaker SPEAKER_04
transcript.pyannote[2327].start 12745.46534375
transcript.pyannote[2327].end 12747.43971875
transcript.pyannote[2328].speaker SPEAKER_04
transcript.pyannote[2328].start 12748.01346875
transcript.pyannote[2328].end 12750.42659375
transcript.pyannote[2329].speaker SPEAKER_04
transcript.pyannote[2329].start 12751.54034375
transcript.pyannote[2329].end 12753.14346875
transcript.pyannote[2330].speaker SPEAKER_04
transcript.pyannote[2330].start 12753.95346875
transcript.pyannote[2330].end 12755.92784375
transcript.pyannote[2331].speaker SPEAKER_04
transcript.pyannote[2331].start 12756.61971875
transcript.pyannote[2331].end 12757.69971875
transcript.pyannote[2332].speaker SPEAKER_09
transcript.pyannote[2332].start 12757.69971875
transcript.pyannote[2332].end 12757.73346875
transcript.pyannote[2333].speaker SPEAKER_09
transcript.pyannote[2333].start 12757.98659375
transcript.pyannote[2333].end 12773.22471875
transcript.pyannote[2334].speaker SPEAKER_05
transcript.pyannote[2334].start 12771.57096875
transcript.pyannote[2334].end 12771.85784375
transcript.pyannote[2335].speaker SPEAKER_09
transcript.pyannote[2335].start 12773.32596875
transcript.pyannote[2335].end 12774.03471875
transcript.pyannote[2336].speaker SPEAKER_09
transcript.pyannote[2336].start 12774.16971875
transcript.pyannote[2336].end 12779.65409375
transcript.pyannote[2337].speaker SPEAKER_09
transcript.pyannote[2337].start 12780.16034375
transcript.pyannote[2337].end 12793.44096875
transcript.pyannote[2338].speaker SPEAKER_04
transcript.pyannote[2338].start 12791.70284375
transcript.pyannote[2338].end 12793.28909375
transcript.pyannote[2339].speaker SPEAKER_04
transcript.pyannote[2339].start 12793.44096875
transcript.pyannote[2339].end 12793.96409375
transcript.pyannote[2340].speaker SPEAKER_09
transcript.pyannote[2340].start 12793.96409375
transcript.pyannote[2340].end 12794.03159375
transcript.pyannote[2341].speaker SPEAKER_04
transcript.pyannote[2341].start 12794.03159375
transcript.pyannote[2341].end 12794.63909375
transcript.pyannote[2342].speaker SPEAKER_09
transcript.pyannote[2342].start 12794.63909375
transcript.pyannote[2342].end 12796.22534375
transcript.pyannote[2343].speaker SPEAKER_04
transcript.pyannote[2343].start 12794.68971875
transcript.pyannote[2343].end 12795.83721875
transcript.pyannote[2344].speaker SPEAKER_04
transcript.pyannote[2344].start 12796.22534375
transcript.pyannote[2344].end 12798.89159375
transcript.pyannote[2345].speaker SPEAKER_09
transcript.pyannote[2345].start 12796.24221875
transcript.pyannote[2345].end 12796.71471875
transcript.pyannote[2346].speaker SPEAKER_04
transcript.pyannote[2346].start 12799.02659375
transcript.pyannote[2346].end 12799.75221875
transcript.pyannote[2347].speaker SPEAKER_04
transcript.pyannote[2347].start 12799.87034375
transcript.pyannote[2347].end 12803.09346875
transcript.pyannote[2348].speaker SPEAKER_04
transcript.pyannote[2348].start 12803.49846875
transcript.pyannote[2348].end 12803.97096875
transcript.pyannote[2349].speaker SPEAKER_09
transcript.pyannote[2349].start 12803.97096875
transcript.pyannote[2349].end 12803.98784375
transcript.pyannote[2350].speaker SPEAKER_09
transcript.pyannote[2350].start 12805.15221875
transcript.pyannote[2350].end 12808.79721875
transcript.pyannote[2351].speaker SPEAKER_09
transcript.pyannote[2351].start 12809.45534375
transcript.pyannote[2351].end 12810.29909375
transcript.pyannote[2352].speaker SPEAKER_09
transcript.pyannote[2352].start 12810.41721875
transcript.pyannote[2352].end 12811.98659375
transcript.pyannote[2353].speaker SPEAKER_09
transcript.pyannote[2353].start 12812.34096875
transcript.pyannote[2353].end 12815.74971875
transcript.pyannote[2354].speaker SPEAKER_09
transcript.pyannote[2354].start 12815.90159375
transcript.pyannote[2354].end 12818.33159375
transcript.pyannote[2355].speaker SPEAKER_09
transcript.pyannote[2355].start 12818.77034375
transcript.pyannote[2355].end 12824.30534375
transcript.pyannote[2356].speaker SPEAKER_09
transcript.pyannote[2356].start 12824.54159375
transcript.pyannote[2356].end 12830.70096875
transcript.pyannote[2357].speaker SPEAKER_09
transcript.pyannote[2357].start 12831.08909375
transcript.pyannote[2357].end 12832.47284375
transcript.pyannote[2358].speaker SPEAKER_09
transcript.pyannote[2358].start 12832.87784375
transcript.pyannote[2358].end 12834.02534375
transcript.pyannote[2359].speaker SPEAKER_04
transcript.pyannote[2359].start 12834.02534375
transcript.pyannote[2359].end 12835.02096875
transcript.pyannote[2360].speaker SPEAKER_09
transcript.pyannote[2360].start 12835.49346875
transcript.pyannote[2360].end 12835.51034375
transcript.pyannote[2361].speaker SPEAKER_04
transcript.pyannote[2361].start 12835.51034375
transcript.pyannote[2361].end 12837.28221875
transcript.pyannote[2362].speaker SPEAKER_04
transcript.pyannote[2362].start 12837.58596875
transcript.pyannote[2362].end 12839.44221875
transcript.pyannote[2363].speaker SPEAKER_04
transcript.pyannote[2363].start 12840.26909375
transcript.pyannote[2363].end 12843.89721875
transcript.pyannote[2364].speaker SPEAKER_04
transcript.pyannote[2364].start 12844.25159375
transcript.pyannote[2364].end 12844.63971875
transcript.pyannote[2365].speaker SPEAKER_04
transcript.pyannote[2365].start 12844.90971875
transcript.pyannote[2365].end 12847.06971875
transcript.pyannote[2366].speaker SPEAKER_04
transcript.pyannote[2366].start 12848.33534375
transcript.pyannote[2366].end 12848.94284375
transcript.pyannote[2367].speaker SPEAKER_04
transcript.pyannote[2367].start 12849.21284375
transcript.pyannote[2367].end 12849.61784375
transcript.pyannote[2368].speaker SPEAKER_09
transcript.pyannote[2368].start 12849.61784375
transcript.pyannote[2368].end 12849.63471875
transcript.pyannote[2369].speaker SPEAKER_04
transcript.pyannote[2369].start 12849.83721875
transcript.pyannote[2369].end 12850.79909375
transcript.pyannote[2370].speaker SPEAKER_09
transcript.pyannote[2370].start 12850.79909375
transcript.pyannote[2370].end 12850.88346875
transcript.pyannote[2371].speaker SPEAKER_04
transcript.pyannote[2371].start 12852.57096875
transcript.pyannote[2371].end 12852.60471875
transcript.pyannote[2372].speaker SPEAKER_09
transcript.pyannote[2372].start 12852.60471875
transcript.pyannote[2372].end 12853.19534375
transcript.pyannote[2373].speaker SPEAKER_09
transcript.pyannote[2373].start 12854.20784375
transcript.pyannote[2373].end 12862.78034375
transcript.pyannote[2374].speaker SPEAKER_04
transcript.pyannote[2374].start 12856.31721875
transcript.pyannote[2374].end 12856.50284375
transcript.pyannote[2375].speaker SPEAKER_04
transcript.pyannote[2375].start 12856.58721875
transcript.pyannote[2375].end 12858.49409375
transcript.pyannote[2376].speaker SPEAKER_04
transcript.pyannote[2376].start 12860.35034375
transcript.pyannote[2376].end 12860.82284375
transcript.pyannote[2377].speaker SPEAKER_09
transcript.pyannote[2377].start 12863.70846875
transcript.pyannote[2377].end 12864.94034375
transcript.pyannote[2378].speaker SPEAKER_09
transcript.pyannote[2378].start 12866.99909375
transcript.pyannote[2378].end 12868.43346875
transcript.pyannote[2379].speaker SPEAKER_04
transcript.pyannote[2379].start 12868.43346875
transcript.pyannote[2379].end 12868.45034375
transcript.pyannote[2380].speaker SPEAKER_09
transcript.pyannote[2380].start 12869.24346875
transcript.pyannote[2380].end 12872.02784375
transcript.pyannote[2381].speaker SPEAKER_04
transcript.pyannote[2381].start 12872.02784375
transcript.pyannote[2381].end 12872.04471875
transcript.pyannote[2382].speaker SPEAKER_09
transcript.pyannote[2382].start 12872.04471875
transcript.pyannote[2382].end 12872.12909375
transcript.pyannote[2383].speaker SPEAKER_04
transcript.pyannote[2383].start 12872.12909375
transcript.pyannote[2383].end 12873.76596875
transcript.pyannote[2384].speaker SPEAKER_04
transcript.pyannote[2384].start 12874.13721875
transcript.pyannote[2384].end 12874.98096875
transcript.pyannote[2385].speaker SPEAKER_09
transcript.pyannote[2385].start 12874.98096875
transcript.pyannote[2385].end 12875.01471875
transcript.pyannote[2386].speaker SPEAKER_04
transcript.pyannote[2386].start 12875.40284375
transcript.pyannote[2386].end 12877.83284375
transcript.pyannote[2387].speaker SPEAKER_09
transcript.pyannote[2387].start 12876.06096875
transcript.pyannote[2387].end 12876.75284375
transcript.pyannote[2388].speaker SPEAKER_04
transcript.pyannote[2388].start 12877.88346875
transcript.pyannote[2388].end 12878.86221875
transcript.pyannote[2389].speaker SPEAKER_04
transcript.pyannote[2389].start 12879.65534375
transcript.pyannote[2389].end 12880.21221875
transcript.pyannote[2390].speaker SPEAKER_04
transcript.pyannote[2390].start 12881.14034375
transcript.pyannote[2390].end 12883.72221875
transcript.pyannote[2391].speaker SPEAKER_04
transcript.pyannote[2391].start 12884.48159375
transcript.pyannote[2391].end 12887.21534375
transcript.pyannote[2392].speaker SPEAKER_10
transcript.pyannote[2392].start 12887.21534375
transcript.pyannote[2392].end 12887.43471875
transcript.pyannote[2393].speaker SPEAKER_04
transcript.pyannote[2393].start 12887.43471875
transcript.pyannote[2393].end 12889.07159375
transcript.pyannote[2394].speaker SPEAKER_10
transcript.pyannote[2394].start 12887.46846875
transcript.pyannote[2394].end 12887.48534375
transcript.pyannote[2395].speaker SPEAKER_10
transcript.pyannote[2395].start 12889.07159375
transcript.pyannote[2395].end 12889.88159375
transcript.pyannote[2396].speaker SPEAKER_04
transcript.pyannote[2396].start 12890.05034375
transcript.pyannote[2396].end 12893.25659375
transcript.pyannote[2397].speaker SPEAKER_04
transcript.pyannote[2397].start 12893.79659375
transcript.pyannote[2397].end 12895.97346875
transcript.pyannote[2398].speaker SPEAKER_09
transcript.pyannote[2398].start 12895.97346875
transcript.pyannote[2398].end 12909.11909375
transcript.pyannote[2399].speaker SPEAKER_04
transcript.pyannote[2399].start 12908.15721875
transcript.pyannote[2399].end 12912.64596875
transcript.pyannote[2400].speaker SPEAKER_04
transcript.pyannote[2400].start 12912.84846875
transcript.pyannote[2400].end 12919.05846875
transcript.pyannote[2401].speaker SPEAKER_10
transcript.pyannote[2401].start 12919.05846875
transcript.pyannote[2401].end 12919.32846875
transcript.pyannote[2402].speaker SPEAKER_04
transcript.pyannote[2402].start 12919.32846875
transcript.pyannote[2402].end 12921.47159375
transcript.pyannote[2403].speaker SPEAKER_04
transcript.pyannote[2403].start 12923.26034375
transcript.pyannote[2403].end 12929.41971875
transcript.pyannote[2404].speaker SPEAKER_09
transcript.pyannote[2404].start 12928.57596875
transcript.pyannote[2404].end 12928.60971875
transcript.pyannote[2405].speaker SPEAKER_09
transcript.pyannote[2405].start 12929.41971875
transcript.pyannote[2405].end 12929.50409375
transcript.pyannote[2406].speaker SPEAKER_09
transcript.pyannote[2406].start 12929.68971875
transcript.pyannote[2406].end 12938.88659375
transcript.pyannote[2407].speaker SPEAKER_04
transcript.pyannote[2407].start 12936.20346875
transcript.pyannote[2407].end 12937.26659375
transcript.pyannote[2408].speaker SPEAKER_04
transcript.pyannote[2408].start 12937.46909375
transcript.pyannote[2408].end 12938.07659375
transcript.pyannote[2409].speaker SPEAKER_04
transcript.pyannote[2409].start 12938.26221875
transcript.pyannote[2409].end 12938.85284375
transcript.pyannote[2410].speaker SPEAKER_04
transcript.pyannote[2410].start 12938.88659375
transcript.pyannote[2410].end 12942.63284375
transcript.pyannote[2411].speaker SPEAKER_04
transcript.pyannote[2411].start 12943.71284375
transcript.pyannote[2411].end 12944.35409375
transcript.pyannote[2412].speaker SPEAKER_04
transcript.pyannote[2412].start 12945.41721875
transcript.pyannote[2412].end 12946.58159375
transcript.pyannote[2413].speaker SPEAKER_04
transcript.pyannote[2413].start 12946.78409375
transcript.pyannote[2413].end 12947.27346875
transcript.pyannote[2414].speaker SPEAKER_04
transcript.pyannote[2414].start 12947.66159375
transcript.pyannote[2414].end 12948.01596875
transcript.pyannote[2415].speaker SPEAKER_04
transcript.pyannote[2415].start 12948.58971875
transcript.pyannote[2415].end 12950.56409375
transcript.pyannote[2416].speaker SPEAKER_04
transcript.pyannote[2416].start 12952.25159375
transcript.pyannote[2416].end 12955.81221875
transcript.pyannote[2417].speaker SPEAKER_04
transcript.pyannote[2417].start 12956.21721875
transcript.pyannote[2417].end 12960.03096875
transcript.pyannote[2418].speaker SPEAKER_04
transcript.pyannote[2418].start 12960.46971875
transcript.pyannote[2418].end 12962.83221875
transcript.pyannote[2419].speaker SPEAKER_04
transcript.pyannote[2419].start 12963.35534375
transcript.pyannote[2419].end 12965.78534375
transcript.pyannote[2420].speaker SPEAKER_04
transcript.pyannote[2420].start 12966.05534375
transcript.pyannote[2420].end 12969.02534375
transcript.pyannote[2421].speaker SPEAKER_04
transcript.pyannote[2421].start 12969.61596875
transcript.pyannote[2421].end 12972.11346875
transcript.pyannote[2422].speaker SPEAKER_04
transcript.pyannote[2422].start 12973.02471875
transcript.pyannote[2422].end 12974.08784375
transcript.pyannote[2423].speaker SPEAKER_09
transcript.pyannote[2423].start 12974.08784375
transcript.pyannote[2423].end 12974.10471875
transcript.pyannote[2424].speaker SPEAKER_04
transcript.pyannote[2424].start 12974.47596875
transcript.pyannote[2424].end 12975.97784375
transcript.pyannote[2425].speaker SPEAKER_09
transcript.pyannote[2425].start 12975.97784375
transcript.pyannote[2425].end 12981.96846875
transcript.pyannote[2426].speaker SPEAKER_04
transcript.pyannote[2426].start 12981.96846875
transcript.pyannote[2426].end 12987.48659375
transcript.pyannote[2427].speaker SPEAKER_09
transcript.pyannote[2427].start 12982.08659375
transcript.pyannote[2427].end 12982.98096875
transcript.pyannote[2428].speaker SPEAKER_04
transcript.pyannote[2428].start 12988.04346875
transcript.pyannote[2428].end 12989.03909375
transcript.pyannote[2429].speaker SPEAKER_09
transcript.pyannote[2429].start 12988.09409375
transcript.pyannote[2429].end 12988.49909375
transcript.pyannote[2430].speaker SPEAKER_09
transcript.pyannote[2430].start 12989.03909375
transcript.pyannote[2430].end 13001.39159375
transcript.pyannote[2431].speaker SPEAKER_09
transcript.pyannote[2431].start 13001.71221875
transcript.pyannote[2431].end 13004.46284375
transcript.pyannote[2432].speaker SPEAKER_04
transcript.pyannote[2432].start 13004.86784375
transcript.pyannote[2432].end 13004.88471875
transcript.pyannote[2433].speaker SPEAKER_09
transcript.pyannote[2433].start 13004.88471875
transcript.pyannote[2433].end 13008.29346875
transcript.pyannote[2434].speaker SPEAKER_04
transcript.pyannote[2434].start 13006.43721875
transcript.pyannote[2434].end 13006.75784375
transcript.pyannote[2435].speaker SPEAKER_09
transcript.pyannote[2435].start 13008.59721875
transcript.pyannote[2435].end 13013.98034375
transcript.pyannote[2436].speaker SPEAKER_04
transcript.pyannote[2436].start 13012.69784375
transcript.pyannote[2436].end 13015.81971875
transcript.pyannote[2437].speaker SPEAKER_09
transcript.pyannote[2437].start 13015.81971875
transcript.pyannote[2437].end 13015.85346875
transcript.pyannote[2438].speaker SPEAKER_04
transcript.pyannote[2438].start 13016.17409375
transcript.pyannote[2438].end 13018.90784375
transcript.pyannote[2439].speaker SPEAKER_04
transcript.pyannote[2439].start 13020.03846875
transcript.pyannote[2439].end 13021.21971875
transcript.pyannote[2440].speaker SPEAKER_09
transcript.pyannote[2440].start 13021.21971875
transcript.pyannote[2440].end 13021.23659375
transcript.pyannote[2441].speaker SPEAKER_04
transcript.pyannote[2441].start 13021.48971875
transcript.pyannote[2441].end 13021.84409375
transcript.pyannote[2442].speaker SPEAKER_09
transcript.pyannote[2442].start 13021.84409375
transcript.pyannote[2442].end 13021.94534375
transcript.pyannote[2443].speaker SPEAKER_04
transcript.pyannote[2443].start 13021.94534375
transcript.pyannote[2443].end 13022.83971875
transcript.pyannote[2444].speaker SPEAKER_09
transcript.pyannote[2444].start 13022.83971875
transcript.pyannote[2444].end 13022.92409375
transcript.pyannote[2445].speaker SPEAKER_04
transcript.pyannote[2445].start 13022.92409375
transcript.pyannote[2445].end 13022.97471875
transcript.pyannote[2446].speaker SPEAKER_09
transcript.pyannote[2446].start 13022.97471875
transcript.pyannote[2446].end 13024.76346875
transcript.pyannote[2447].speaker SPEAKER_09
transcript.pyannote[2447].start 13025.77596875
transcript.pyannote[2447].end 13027.66596875
transcript.pyannote[2448].speaker SPEAKER_09
transcript.pyannote[2448].start 13027.96971875
transcript.pyannote[2448].end 13030.88909375
transcript.pyannote[2449].speaker SPEAKER_04
transcript.pyannote[2449].start 13028.42534375
transcript.pyannote[2449].end 13029.42096875
transcript.pyannote[2450].speaker SPEAKER_04
transcript.pyannote[2450].start 13029.60659375
transcript.pyannote[2450].end 13030.18034375
transcript.pyannote[2451].speaker SPEAKER_09
transcript.pyannote[2451].start 13031.44596875
transcript.pyannote[2451].end 13031.93534375
transcript.pyannote[2452].speaker SPEAKER_09
transcript.pyannote[2452].start 13032.71159375
transcript.pyannote[2452].end 13047.78096875
transcript.pyannote[2453].speaker SPEAKER_04
transcript.pyannote[2453].start 13036.74471875
transcript.pyannote[2453].end 13037.74034375
transcript.pyannote[2454].speaker SPEAKER_04
transcript.pyannote[2454].start 13038.46596875
transcript.pyannote[2454].end 13039.81596875
transcript.pyannote[2455].speaker SPEAKER_04
transcript.pyannote[2455].start 13042.39784375
transcript.pyannote[2455].end 13046.83596875
transcript.pyannote[2456].speaker SPEAKER_04
transcript.pyannote[2456].start 13047.71346875
transcript.pyannote[2456].end 13047.94971875
transcript.pyannote[2457].speaker SPEAKER_04
transcript.pyannote[2457].start 13049.23221875
transcript.pyannote[2457].end 13050.80159375
transcript.pyannote[2458].speaker SPEAKER_04
transcript.pyannote[2458].start 13050.91971875
transcript.pyannote[2458].end 13054.10909375
transcript.pyannote[2459].speaker SPEAKER_04
transcript.pyannote[2459].start 13054.59846875
transcript.pyannote[2459].end 13057.46721875
transcript.pyannote[2460].speaker SPEAKER_04
transcript.pyannote[2460].start 13057.92284375
transcript.pyannote[2460].end 13059.01971875
transcript.pyannote[2461].speaker SPEAKER_04
transcript.pyannote[2461].start 13059.72846875
transcript.pyannote[2461].end 13060.03221875
transcript.pyannote[2462].speaker SPEAKER_04
transcript.pyannote[2462].start 13060.35284375
transcript.pyannote[2462].end 13061.88846875
transcript.pyannote[2463].speaker SPEAKER_04
transcript.pyannote[2463].start 13062.78284375
transcript.pyannote[2463].end 13065.66846875
transcript.pyannote[2464].speaker SPEAKER_04
transcript.pyannote[2464].start 13066.19159375
transcript.pyannote[2464].end 13069.73534375
transcript.pyannote[2465].speaker SPEAKER_04
transcript.pyannote[2465].start 13070.19096875
transcript.pyannote[2465].end 13072.51971875
transcript.pyannote[2466].speaker SPEAKER_04
transcript.pyannote[2466].start 13073.31284375
transcript.pyannote[2466].end 13074.52784375
transcript.pyannote[2467].speaker SPEAKER_04
transcript.pyannote[2467].start 13075.13534375
transcript.pyannote[2467].end 13077.10971875
transcript.pyannote[2468].speaker SPEAKER_04
transcript.pyannote[2468].start 13078.35846875
transcript.pyannote[2468].end 13078.99971875
transcript.pyannote[2469].speaker SPEAKER_04
transcript.pyannote[2469].start 13079.69159375
transcript.pyannote[2469].end 13080.63659375
transcript.pyannote[2470].speaker SPEAKER_04
transcript.pyannote[2470].start 13080.94034375
transcript.pyannote[2470].end 13081.68284375
transcript.pyannote[2471].speaker SPEAKER_04
transcript.pyannote[2471].start 13082.54346875
transcript.pyannote[2471].end 13083.96096875
transcript.pyannote[2472].speaker SPEAKER_04
transcript.pyannote[2472].start 13085.68221875
transcript.pyannote[2472].end 13090.23846875
transcript.pyannote[2473].speaker SPEAKER_04
transcript.pyannote[2473].start 13091.41971875
transcript.pyannote[2473].end 13091.97659375
transcript.pyannote[2474].speaker SPEAKER_04
transcript.pyannote[2474].start 13092.82034375
transcript.pyannote[2474].end 13093.68096875
transcript.pyannote[2475].speaker SPEAKER_04
transcript.pyannote[2475].start 13094.44034375
transcript.pyannote[2475].end 13096.16159375
transcript.pyannote[2476].speaker SPEAKER_10
transcript.pyannote[2476].start 13096.75221875
transcript.pyannote[2476].end 13096.87034375
transcript.pyannote[2477].speaker SPEAKER_04
transcript.pyannote[2477].start 13096.87034375
transcript.pyannote[2477].end 13098.76034375
transcript.pyannote[2478].speaker SPEAKER_04
transcript.pyannote[2478].start 13099.18221875
transcript.pyannote[2478].end 13100.66721875
transcript.pyannote[2479].speaker SPEAKER_04
transcript.pyannote[2479].start 13102.28721875
transcript.pyannote[2479].end 13102.64159375
transcript.pyannote[2480].speaker SPEAKER_04
transcript.pyannote[2480].start 13103.26596875
transcript.pyannote[2480].end 13104.61596875
transcript.pyannote[2481].speaker SPEAKER_04
transcript.pyannote[2481].start 13105.00409375
transcript.pyannote[2481].end 13106.30346875
transcript.pyannote[2482].speaker SPEAKER_04
transcript.pyannote[2482].start 13106.97846875
transcript.pyannote[2482].end 13109.10471875
transcript.pyannote[2483].speaker SPEAKER_04
transcript.pyannote[2483].start 13109.98221875
transcript.pyannote[2483].end 13112.37846875
transcript.pyannote[2484].speaker SPEAKER_04
transcript.pyannote[2484].start 13113.17159375
transcript.pyannote[2484].end 13118.36909375
transcript.pyannote[2485].speaker SPEAKER_04
transcript.pyannote[2485].start 13119.24659375
transcript.pyannote[2485].end 13120.79909375
transcript.pyannote[2486].speaker SPEAKER_04
transcript.pyannote[2486].start 13120.81596875
transcript.pyannote[2486].end 13123.49909375
transcript.pyannote[2487].speaker SPEAKER_04
transcript.pyannote[2487].start 13123.60034375
transcript.pyannote[2487].end 13124.22471875
transcript.pyannote[2488].speaker SPEAKER_04
transcript.pyannote[2488].start 13124.73096875
transcript.pyannote[2488].end 13130.60346875
transcript.pyannote[2489].speaker SPEAKER_04
transcript.pyannote[2489].start 13131.07596875
transcript.pyannote[2489].end 13140.07034375
transcript.pyannote[2490].speaker SPEAKER_04
transcript.pyannote[2490].start 13140.69471875
transcript.pyannote[2490].end 13142.02784375
transcript.pyannote[2491].speaker SPEAKER_04
transcript.pyannote[2491].start 13142.41596875
transcript.pyannote[2491].end 13147.47846875
transcript.pyannote[2492].speaker SPEAKER_04
transcript.pyannote[2492].start 13148.08596875
transcript.pyannote[2492].end 13148.87909375
transcript.pyannote[2493].speaker SPEAKER_04
transcript.pyannote[2493].start 13149.48659375
transcript.pyannote[2493].end 13156.20284375
transcript.pyannote[2494].speaker SPEAKER_11
transcript.pyannote[2494].start 13156.84409375
transcript.pyannote[2494].end 13169.23034375
transcript.pyannote[2495].speaker SPEAKER_11
transcript.pyannote[2495].start 13169.46659375
transcript.pyannote[2495].end 13179.28784375
transcript.pyannote[2496].speaker SPEAKER_18
transcript.pyannote[2496].start 13185.76784375
transcript.pyannote[2496].end 13188.31596875
transcript.pyannote[2497].speaker SPEAKER_18
transcript.pyannote[2497].start 13191.38721875
transcript.pyannote[2497].end 13191.50534375
transcript.pyannote[2498].speaker SPEAKER_18
transcript.pyannote[2498].start 13191.79221875
transcript.pyannote[2498].end 13197.91784375
transcript.pyannote[2499].speaker SPEAKER_20
transcript.pyannote[2499].start 13192.21409375
transcript.pyannote[2499].end 13192.26471875
transcript.pyannote[2500].speaker SPEAKER_11
transcript.pyannote[2500].start 13192.26471875
transcript.pyannote[2500].end 13192.83846875
transcript.pyannote[2501].speaker SPEAKER_20
transcript.pyannote[2501].start 13192.83846875
transcript.pyannote[2501].end 13192.87221875
transcript.pyannote[2502].speaker SPEAKER_11
transcript.pyannote[2502].start 13192.87221875
transcript.pyannote[2502].end 13192.88909375
transcript.pyannote[2503].speaker SPEAKER_11
transcript.pyannote[2503].start 13196.65221875
transcript.pyannote[2503].end 13196.97284375
transcript.pyannote[2504].speaker SPEAKER_17
transcript.pyannote[2504].start 13196.97284375
transcript.pyannote[2504].end 13196.98971875
transcript.pyannote[2505].speaker SPEAKER_18
transcript.pyannote[2505].start 13198.35659375
transcript.pyannote[2505].end 13225.82909375
transcript.pyannote[2506].speaker SPEAKER_18
transcript.pyannote[2506].start 13226.58846875
transcript.pyannote[2506].end 13231.49909375
transcript.pyannote[2507].speaker SPEAKER_18
transcript.pyannote[2507].start 13232.46096875
transcript.pyannote[2507].end 13234.87409375
transcript.pyannote[2508].speaker SPEAKER_09
transcript.pyannote[2508].start 13235.95409375
transcript.pyannote[2508].end 13239.12659375
transcript.pyannote[2509].speaker SPEAKER_18
transcript.pyannote[2509].start 13240.02096875
transcript.pyannote[2509].end 13243.95284375
transcript.pyannote[2510].speaker SPEAKER_09
transcript.pyannote[2510].start 13244.52659375
transcript.pyannote[2510].end 13246.33221875
transcript.pyannote[2511].speaker SPEAKER_09
transcript.pyannote[2511].start 13247.17596875
transcript.pyannote[2511].end 13250.41596875
transcript.pyannote[2512].speaker SPEAKER_09
transcript.pyannote[2512].start 13250.97284375
transcript.pyannote[2512].end 13251.22596875
transcript.pyannote[2513].speaker SPEAKER_18
transcript.pyannote[2513].start 13251.22596875
transcript.pyannote[2513].end 13254.88784375
transcript.pyannote[2514].speaker SPEAKER_09
transcript.pyannote[2514].start 13251.24284375
transcript.pyannote[2514].end 13251.71534375
transcript.pyannote[2515].speaker SPEAKER_09
transcript.pyannote[2515].start 13254.56721875
transcript.pyannote[2515].end 13254.58409375
transcript.pyannote[2516].speaker SPEAKER_30
transcript.pyannote[2516].start 13254.58409375
transcript.pyannote[2516].end 13262.36346875
transcript.pyannote[2517].speaker SPEAKER_18
transcript.pyannote[2517].start 13260.49034375
transcript.pyannote[2517].end 13260.99659375
transcript.pyannote[2518].speaker SPEAKER_18
transcript.pyannote[2518].start 13262.32971875
transcript.pyannote[2518].end 13262.34659375
transcript.pyannote[2519].speaker SPEAKER_18
transcript.pyannote[2519].start 13262.36346875
transcript.pyannote[2519].end 13262.71784375
transcript.pyannote[2520].speaker SPEAKER_30
transcript.pyannote[2520].start 13262.71784375
transcript.pyannote[2520].end 13275.61034375
transcript.pyannote[2521].speaker SPEAKER_18
transcript.pyannote[2521].start 13262.81909375
transcript.pyannote[2521].end 13263.10596875
transcript.pyannote[2522].speaker SPEAKER_18
transcript.pyannote[2522].start 13270.12596875
transcript.pyannote[2522].end 13270.66596875
transcript.pyannote[2523].speaker SPEAKER_18
transcript.pyannote[2523].start 13275.57659375
transcript.pyannote[2523].end 13307.82471875
transcript.pyannote[2524].speaker SPEAKER_18
transcript.pyannote[2524].start 13307.87534375
transcript.pyannote[2524].end 13337.59221875
transcript.pyannote[2525].speaker SPEAKER_00
transcript.pyannote[2525].start 13330.74096875
transcript.pyannote[2525].end 13330.75784375
transcript.pyannote[2526].speaker SPEAKER_08
transcript.pyannote[2526].start 13330.75784375
transcript.pyannote[2526].end 13330.82534375
transcript.pyannote[2527].speaker SPEAKER_09
transcript.pyannote[2527].start 13330.82534375
transcript.pyannote[2527].end 13331.11221875
transcript.pyannote[2528].speaker SPEAKER_08
transcript.pyannote[2528].start 13331.11221875
transcript.pyannote[2528].end 13331.17971875
transcript.pyannote[2529].speaker SPEAKER_09
transcript.pyannote[2529].start 13333.49159375
transcript.pyannote[2529].end 13338.85784375
transcript.pyannote[2530].speaker SPEAKER_09
transcript.pyannote[2530].start 13339.17846875
transcript.pyannote[2530].end 13339.19534375
transcript.pyannote[2531].speaker SPEAKER_18
transcript.pyannote[2531].start 13339.19534375
transcript.pyannote[2531].end 13350.07971875
transcript.pyannote[2532].speaker SPEAKER_09
transcript.pyannote[2532].start 13339.26284375
transcript.pyannote[2532].end 13339.27971875
transcript.pyannote[2533].speaker SPEAKER_09
transcript.pyannote[2533].start 13339.34721875
transcript.pyannote[2533].end 13339.95471875
transcript.pyannote[2534].speaker SPEAKER_14
transcript.pyannote[2534].start 13350.07971875
transcript.pyannote[2534].end 13351.12596875
transcript.pyannote[2535].speaker SPEAKER_18
transcript.pyannote[2535].start 13350.38346875
transcript.pyannote[2535].end 13356.25596875
transcript.pyannote[2536].speaker SPEAKER_09
transcript.pyannote[2536].start 13351.12596875
transcript.pyannote[2536].end 13351.14284375
transcript.pyannote[2537].speaker SPEAKER_09
transcript.pyannote[2537].start 13353.21846875
transcript.pyannote[2537].end 13353.23534375
transcript.pyannote[2538].speaker SPEAKER_09
transcript.pyannote[2538].start 13355.54721875
transcript.pyannote[2538].end 13356.94784375
transcript.pyannote[2539].speaker SPEAKER_18
transcript.pyannote[2539].start 13356.64409375
transcript.pyannote[2539].end 13363.07346875
transcript.pyannote[2540].speaker SPEAKER_09
transcript.pyannote[2540].start 13360.50846875
transcript.pyannote[2540].end 13361.20034375
transcript.pyannote[2541].speaker SPEAKER_09
transcript.pyannote[2541].start 13361.65596875
transcript.pyannote[2541].end 13362.39846875
transcript.pyannote[2542].speaker SPEAKER_09
transcript.pyannote[2542].start 13363.07346875
transcript.pyannote[2542].end 13384.69034375
transcript.pyannote[2543].speaker SPEAKER_18
transcript.pyannote[2543].start 13369.92471875
transcript.pyannote[2543].end 13371.96659375
transcript.pyannote[2544].speaker SPEAKER_08
transcript.pyannote[2544].start 13371.96659375
transcript.pyannote[2544].end 13372.01721875
transcript.pyannote[2545].speaker SPEAKER_08
transcript.pyannote[2545].start 13374.71721875
transcript.pyannote[2545].end 13376.79284375
transcript.pyannote[2546].speaker SPEAKER_00
transcript.pyannote[2546].start 13376.79284375
transcript.pyannote[2546].end 13376.82659375
transcript.pyannote[2547].speaker SPEAKER_18
transcript.pyannote[2547].start 13378.26096875
transcript.pyannote[2547].end 13380.52221875
transcript.pyannote[2548].speaker SPEAKER_18
transcript.pyannote[2548].start 13381.88909375
transcript.pyannote[2548].end 13382.24346875
transcript.pyannote[2549].speaker SPEAKER_18
transcript.pyannote[2549].start 13383.13784375
transcript.pyannote[2549].end 13397.93721875
transcript.pyannote[2550].speaker SPEAKER_09
transcript.pyannote[2550].start 13395.08534375
transcript.pyannote[2550].end 13395.59159375
transcript.pyannote[2551].speaker SPEAKER_09
transcript.pyannote[2551].start 13396.53659375
transcript.pyannote[2551].end 13400.23221875
transcript.pyannote[2552].speaker SPEAKER_18
transcript.pyannote[2552].start 13399.37159375
transcript.pyannote[2552].end 13441.62659375
transcript.pyannote[2553].speaker SPEAKER_09
transcript.pyannote[2553].start 13402.08846875
transcript.pyannote[2553].end 13402.54409375
transcript.pyannote[2554].speaker SPEAKER_06
transcript.pyannote[2554].start 13429.61159375
transcript.pyannote[2554].end 13429.69596875
transcript.pyannote[2555].speaker SPEAKER_06
transcript.pyannote[2555].start 13429.74659375
transcript.pyannote[2555].end 13429.88159375
transcript.pyannote[2556].speaker SPEAKER_05
transcript.pyannote[2556].start 13441.87971875
transcript.pyannote[2556].end 13442.20034375
transcript.pyannote[2557].speaker SPEAKER_18
transcript.pyannote[2557].start 13442.58846875
transcript.pyannote[2557].end 13442.94284375
transcript.pyannote[2558].speaker SPEAKER_09
transcript.pyannote[2558].start 13442.94284375
transcript.pyannote[2558].end 13442.95971875
transcript.pyannote[2559].speaker SPEAKER_09
transcript.pyannote[2559].start 13443.36471875
transcript.pyannote[2559].end 13443.38159375
transcript.pyannote[2560].speaker SPEAKER_18
transcript.pyannote[2560].start 13443.38159375
transcript.pyannote[2560].end 13443.97221875
transcript.pyannote[2561].speaker SPEAKER_09
transcript.pyannote[2561].start 13443.97221875
transcript.pyannote[2561].end 13450.82346875
transcript.pyannote[2562].speaker SPEAKER_05
transcript.pyannote[2562].start 13447.48221875
transcript.pyannote[2562].end 13447.49909375
transcript.pyannote[2563].speaker SPEAKER_18
transcript.pyannote[2563].start 13447.49909375
transcript.pyannote[2563].end 13447.97159375
transcript.pyannote[2564].speaker SPEAKER_18
transcript.pyannote[2564].start 13448.03909375
transcript.pyannote[2564].end 13472.79471875
transcript.pyannote[2565].speaker SPEAKER_09
transcript.pyannote[2565].start 13451.68409375
transcript.pyannote[2565].end 13453.30409375
transcript.pyannote[2566].speaker SPEAKER_00
transcript.pyannote[2566].start 13459.96971875
transcript.pyannote[2566].end 13460.27346875
transcript.pyannote[2567].speaker SPEAKER_00
transcript.pyannote[2567].start 13462.61909375
transcript.pyannote[2567].end 13462.72034375
transcript.pyannote[2568].speaker SPEAKER_11
transcript.pyannote[2568].start 13470.85409375
transcript.pyannote[2568].end 13471.95096875
transcript.pyannote[2569].speaker SPEAKER_18
transcript.pyannote[2569].start 13473.23346875
transcript.pyannote[2569].end 13473.25034375
transcript.pyannote[2570].speaker SPEAKER_11
transcript.pyannote[2570].start 13473.25034375
transcript.pyannote[2570].end 13475.30909375
transcript.pyannote[2571].speaker SPEAKER_11
transcript.pyannote[2571].start 13476.05159375
transcript.pyannote[2571].end 13478.32971875
transcript.pyannote[2572].speaker SPEAKER_06
transcript.pyannote[2572].start 13484.55659375
transcript.pyannote[2572].end 13488.62346875
transcript.pyannote[2573].speaker SPEAKER_06
transcript.pyannote[2573].start 13489.04534375
transcript.pyannote[2573].end 13489.92284375
transcript.pyannote[2574].speaker SPEAKER_06
transcript.pyannote[2574].start 13493.24721875
transcript.pyannote[2574].end 13493.44971875
transcript.pyannote[2575].speaker SPEAKER_09
transcript.pyannote[2575].start 13493.44971875
transcript.pyannote[2575].end 13493.46659375
transcript.pyannote[2576].speaker SPEAKER_07
transcript.pyannote[2576].start 13493.46659375
transcript.pyannote[2576].end 13493.50034375
transcript.pyannote[2577].speaker SPEAKER_06
transcript.pyannote[2577].start 13493.50034375
transcript.pyannote[2577].end 13493.58471875
transcript.pyannote[2578].speaker SPEAKER_07
transcript.pyannote[2578].start 13493.58471875
transcript.pyannote[2578].end 13494.04034375
transcript.pyannote[2579].speaker SPEAKER_06
transcript.pyannote[2579].start 13493.60159375
transcript.pyannote[2579].end 13493.75346875
transcript.pyannote[2580].speaker SPEAKER_06
transcript.pyannote[2580].start 13494.10784375
transcript.pyannote[2580].end 13496.26784375
transcript.pyannote[2581].speaker SPEAKER_06
transcript.pyannote[2581].start 13496.57159375
transcript.pyannote[2581].end 13501.11096875
transcript.pyannote[2582].speaker SPEAKER_06
transcript.pyannote[2582].start 13501.43159375
transcript.pyannote[2582].end 13506.67971875
transcript.pyannote[2583].speaker SPEAKER_06
transcript.pyannote[2583].start 13508.13096875
transcript.pyannote[2583].end 13509.32909375
transcript.pyannote[2584].speaker SPEAKER_09
transcript.pyannote[2584].start 13509.32909375
transcript.pyannote[2584].end 13509.36284375
transcript.pyannote[2585].speaker SPEAKER_06
transcript.pyannote[2585].start 13509.36284375
transcript.pyannote[2585].end 13509.37971875
transcript.pyannote[2586].speaker SPEAKER_09
transcript.pyannote[2586].start 13509.37971875
transcript.pyannote[2586].end 13509.56534375
transcript.pyannote[2587].speaker SPEAKER_06
transcript.pyannote[2587].start 13509.56534375
transcript.pyannote[2587].end 13510.37534375
transcript.pyannote[2588].speaker SPEAKER_09
transcript.pyannote[2588].start 13509.93659375
transcript.pyannote[2588].end 13512.80534375
transcript.pyannote[2589].speaker SPEAKER_10
transcript.pyannote[2589].start 13510.37534375
transcript.pyannote[2589].end 13510.49346875
transcript.pyannote[2590].speaker SPEAKER_09
transcript.pyannote[2590].start 13513.07534375
transcript.pyannote[2590].end 13515.43784375
transcript.pyannote[2591].speaker SPEAKER_10
transcript.pyannote[2591].start 13515.53909375
transcript.pyannote[2591].end 13518.20534375
transcript.pyannote[2592].speaker SPEAKER_09
transcript.pyannote[2592].start 13516.46721875
transcript.pyannote[2592].end 13516.77096875
transcript.pyannote[2593].speaker SPEAKER_09
transcript.pyannote[2593].start 13518.69471875
transcript.pyannote[2593].end 13523.60534375
transcript.pyannote[2594].speaker SPEAKER_10
transcript.pyannote[2594].start 13521.32721875
transcript.pyannote[2594].end 13521.34409375
transcript.pyannote[2595].speaker SPEAKER_06
transcript.pyannote[2595].start 13521.34409375
transcript.pyannote[2595].end 13522.01909375
transcript.pyannote[2596].speaker SPEAKER_06
transcript.pyannote[2596].start 13522.47471875
transcript.pyannote[2596].end 13523.85846875
transcript.pyannote[2597].speaker SPEAKER_09
transcript.pyannote[2597].start 13523.99346875
transcript.pyannote[2597].end 13524.33096875
transcript.pyannote[2598].speaker SPEAKER_06
transcript.pyannote[2598].start 13524.22971875
transcript.pyannote[2598].end 13525.63034375
transcript.pyannote[2599].speaker SPEAKER_09
transcript.pyannote[2599].start 13524.61784375
transcript.pyannote[2599].end 13531.26659375
transcript.pyannote[2600].speaker SPEAKER_06
transcript.pyannote[2600].start 13526.82846875
transcript.pyannote[2600].end 13527.60471875
transcript.pyannote[2601].speaker SPEAKER_06
transcript.pyannote[2601].start 13532.92034375
transcript.pyannote[2601].end 13537.32471875
transcript.pyannote[2602].speaker SPEAKER_06
transcript.pyannote[2602].start 13538.06721875
transcript.pyannote[2602].end 13542.64034375
transcript.pyannote[2603].speaker SPEAKER_00
transcript.pyannote[2603].start 13541.30721875
transcript.pyannote[2603].end 13541.35784375
transcript.pyannote[2604].speaker SPEAKER_05
transcript.pyannote[2604].start 13541.35784375
transcript.pyannote[2604].end 13541.44221875
transcript.pyannote[2605].speaker SPEAKER_00
transcript.pyannote[2605].start 13541.44221875
transcript.pyannote[2605].end 13541.49284375
transcript.pyannote[2606].speaker SPEAKER_06
transcript.pyannote[2606].start 13543.18034375
transcript.pyannote[2606].end 13545.50909375
transcript.pyannote[2607].speaker SPEAKER_06
transcript.pyannote[2607].start 13545.94784375
transcript.pyannote[2607].end 13546.85909375
transcript.pyannote[2608].speaker SPEAKER_06
transcript.pyannote[2608].start 13547.44971875
transcript.pyannote[2608].end 13553.54159375
transcript.pyannote[2609].speaker SPEAKER_06
transcript.pyannote[2609].start 13554.18284375
transcript.pyannote[2609].end 13560.34221875
transcript.pyannote[2610].speaker SPEAKER_06
transcript.pyannote[2610].start 13561.20284375
transcript.pyannote[2610].end 13572.93096875
transcript.pyannote[2611].speaker SPEAKER_06
transcript.pyannote[2611].start 13573.35284375
transcript.pyannote[2611].end 13582.38096875
transcript.pyannote[2612].speaker SPEAKER_06
transcript.pyannote[2612].start 13582.87034375
transcript.pyannote[2612].end 13593.56909375
transcript.pyannote[2613].speaker SPEAKER_06
transcript.pyannote[2613].start 13594.29471875
transcript.pyannote[2613].end 13596.23534375
transcript.pyannote[2614].speaker SPEAKER_06
transcript.pyannote[2614].start 13596.62346875
transcript.pyannote[2614].end 13598.74971875
transcript.pyannote[2615].speaker SPEAKER_06
transcript.pyannote[2615].start 13600.53846875
transcript.pyannote[2615].end 13600.92659375
transcript.pyannote[2616].speaker SPEAKER_06
transcript.pyannote[2616].start 13601.65221875
transcript.pyannote[2616].end 13602.83346875
transcript.pyannote[2617].speaker SPEAKER_09
transcript.pyannote[2617].start 13601.68596875
transcript.pyannote[2617].end 13601.95596875
transcript.pyannote[2618].speaker SPEAKER_09
transcript.pyannote[2618].start 13602.93471875
transcript.pyannote[2618].end 13604.60534375
transcript.pyannote[2619].speaker SPEAKER_06
transcript.pyannote[2619].start 13604.72346875
transcript.pyannote[2619].end 13608.11534375
transcript.pyannote[2620].speaker SPEAKER_06
transcript.pyannote[2620].start 13608.58784375
transcript.pyannote[2620].end 13612.11471875
transcript.pyannote[2621].speaker SPEAKER_06
transcript.pyannote[2621].start 13612.33409375
transcript.pyannote[2621].end 13616.18159375
transcript.pyannote[2622].speaker SPEAKER_06
transcript.pyannote[2622].start 13617.14346875
transcript.pyannote[2622].end 13622.05409375
transcript.pyannote[2623].speaker SPEAKER_06
transcript.pyannote[2623].start 13622.98221875
transcript.pyannote[2623].end 13625.96909375
transcript.pyannote[2624].speaker SPEAKER_06
transcript.pyannote[2624].start 13627.18409375
transcript.pyannote[2624].end 13631.41971875
transcript.pyannote[2625].speaker SPEAKER_08
transcript.pyannote[2625].start 13627.50471875
transcript.pyannote[2625].end 13627.52159375
transcript.pyannote[2626].speaker SPEAKER_09
transcript.pyannote[2626].start 13627.52159375
transcript.pyannote[2626].end 13627.70721875
transcript.pyannote[2627].speaker SPEAKER_08
transcript.pyannote[2627].start 13627.70721875
transcript.pyannote[2627].end 13628.02784375
transcript.pyannote[2628].speaker SPEAKER_09
transcript.pyannote[2628].start 13628.02784375
transcript.pyannote[2628].end 13628.75346875
transcript.pyannote[2629].speaker SPEAKER_06
transcript.pyannote[2629].start 13632.11159375
transcript.pyannote[2629].end 13632.97221875
transcript.pyannote[2630].speaker SPEAKER_06
transcript.pyannote[2630].start 13633.39409375
transcript.pyannote[2630].end 13634.65971875
transcript.pyannote[2631].speaker SPEAKER_09
transcript.pyannote[2631].start 13635.68909375
transcript.pyannote[2631].end 13642.52346875
transcript.pyannote[2632].speaker SPEAKER_06
transcript.pyannote[2632].start 13642.16909375
transcript.pyannote[2632].end 13655.95596875
transcript.pyannote[2633].speaker SPEAKER_09
transcript.pyannote[2633].start 13643.58659375
transcript.pyannote[2633].end 13645.32471875
transcript.pyannote[2634].speaker SPEAKER_08
transcript.pyannote[2634].start 13648.69971875
transcript.pyannote[2634].end 13648.95284375
transcript.pyannote[2635].speaker SPEAKER_08
transcript.pyannote[2635].start 13649.18909375
transcript.pyannote[2635].end 13651.19721875
transcript.pyannote[2636].speaker SPEAKER_08
transcript.pyannote[2636].start 13652.61471875
transcript.pyannote[2636].end 13653.17159375
transcript.pyannote[2637].speaker SPEAKER_08
transcript.pyannote[2637].start 13654.92659375
transcript.pyannote[2637].end 13660.57971875
transcript.pyannote[2638].speaker SPEAKER_06
transcript.pyannote[2638].start 13659.49971875
transcript.pyannote[2638].end 13660.66409375
transcript.pyannote[2639].speaker SPEAKER_06
transcript.pyannote[2639].start 13661.40659375
transcript.pyannote[2639].end 13663.65096875
transcript.pyannote[2640].speaker SPEAKER_06
transcript.pyannote[2640].start 13665.00096875
transcript.pyannote[2640].end 13665.96284375
transcript.pyannote[2641].speaker SPEAKER_09
transcript.pyannote[2641].start 13665.96284375
transcript.pyannote[2641].end 13666.70534375
transcript.pyannote[2642].speaker SPEAKER_06
transcript.pyannote[2642].start 13667.49846875
transcript.pyannote[2642].end 13667.97096875
transcript.pyannote[2643].speaker SPEAKER_09
transcript.pyannote[2643].start 13667.97096875
transcript.pyannote[2643].end 13668.03846875
transcript.pyannote[2644].speaker SPEAKER_06
transcript.pyannote[2644].start 13668.03846875
transcript.pyannote[2644].end 13668.69659375
transcript.pyannote[2645].speaker SPEAKER_09
transcript.pyannote[2645].start 13669.42221875
transcript.pyannote[2645].end 13673.33721875
transcript.pyannote[2646].speaker SPEAKER_06
transcript.pyannote[2646].start 13674.28221875
transcript.pyannote[2646].end 13679.95221875
transcript.pyannote[2647].speaker SPEAKER_09
transcript.pyannote[2647].start 13676.84721875
transcript.pyannote[2647].end 13677.92721875
transcript.pyannote[2648].speaker SPEAKER_09
transcript.pyannote[2648].start 13679.19284375
transcript.pyannote[2648].end 13679.91846875
transcript.pyannote[2649].speaker SPEAKER_09
transcript.pyannote[2649].start 13679.95221875
transcript.pyannote[2649].end 13685.08221875
transcript.pyannote[2650].speaker SPEAKER_06
transcript.pyannote[2650].start 13680.99846875
transcript.pyannote[2650].end 13681.28534375
transcript.pyannote[2651].speaker SPEAKER_09
transcript.pyannote[2651].start 13685.20034375
transcript.pyannote[2651].end 13685.25096875
transcript.pyannote[2652].speaker SPEAKER_06
transcript.pyannote[2652].start 13685.25096875
transcript.pyannote[2652].end 13687.07346875
transcript.pyannote[2653].speaker SPEAKER_06
transcript.pyannote[2653].start 13687.59659375
transcript.pyannote[2653].end 13693.14846875
transcript.pyannote[2654].speaker SPEAKER_06
transcript.pyannote[2654].start 13693.40159375
transcript.pyannote[2654].end 13694.65034375
transcript.pyannote[2655].speaker SPEAKER_06
transcript.pyannote[2655].start 13694.78534375
transcript.pyannote[2655].end 13697.51909375
transcript.pyannote[2656].speaker SPEAKER_06
transcript.pyannote[2656].start 13698.02534375
transcript.pyannote[2656].end 13698.39659375
transcript.pyannote[2657].speaker SPEAKER_06
transcript.pyannote[2657].start 13698.91971875
transcript.pyannote[2657].end 13704.33659375
transcript.pyannote[2658].speaker SPEAKER_06
transcript.pyannote[2658].start 13705.16346875
transcript.pyannote[2658].end 13705.58534375
transcript.pyannote[2659].speaker SPEAKER_09
transcript.pyannote[2659].start 13706.81721875
transcript.pyannote[2659].end 13710.68159375
transcript.pyannote[2660].speaker SPEAKER_06
transcript.pyannote[2660].start 13707.76221875
transcript.pyannote[2660].end 13714.12409375
transcript.pyannote[2661].speaker SPEAKER_09
transcript.pyannote[2661].start 13712.35221875
transcript.pyannote[2661].end 13717.44846875
transcript.pyannote[2662].speaker SPEAKER_06
transcript.pyannote[2662].start 13715.05221875
transcript.pyannote[2662].end 13715.20409375
transcript.pyannote[2663].speaker SPEAKER_09
transcript.pyannote[2663].start 13717.53284375
transcript.pyannote[2663].end 13717.54971875
transcript.pyannote[2664].speaker SPEAKER_06
transcript.pyannote[2664].start 13717.54971875
transcript.pyannote[2664].end 13719.92909375
transcript.pyannote[2665].speaker SPEAKER_09
transcript.pyannote[2665].start 13717.68471875
transcript.pyannote[2665].end 13718.03909375
transcript.pyannote[2666].speaker SPEAKER_09
transcript.pyannote[2666].start 13719.92909375
transcript.pyannote[2666].end 13719.97971875
transcript.pyannote[2667].speaker SPEAKER_06
transcript.pyannote[2667].start 13719.97971875
transcript.pyannote[2667].end 13720.01346875
transcript.pyannote[2668].speaker SPEAKER_09
transcript.pyannote[2668].start 13720.19909375
transcript.pyannote[2668].end 13720.73909375
transcript.pyannote[2669].speaker SPEAKER_06
transcript.pyannote[2669].start 13720.30034375
transcript.pyannote[2669].end 13721.54909375
transcript.pyannote[2670].speaker SPEAKER_06
transcript.pyannote[2670].start 13721.86971875
transcript.pyannote[2670].end 13725.54846875
transcript.pyannote[2671].speaker SPEAKER_09
transcript.pyannote[2671].start 13721.92034375
transcript.pyannote[2671].end 13728.16409375
transcript.pyannote[2672].speaker SPEAKER_09
transcript.pyannote[2672].start 13728.75471875
transcript.pyannote[2672].end 13731.91034375
transcript.pyannote[2673].speaker SPEAKER_06
transcript.pyannote[2673].start 13730.35784375
transcript.pyannote[2673].end 13731.82596875
transcript.pyannote[2674].speaker SPEAKER_06
transcript.pyannote[2674].start 13731.91034375
transcript.pyannote[2674].end 13732.26471875
transcript.pyannote[2675].speaker SPEAKER_09
transcript.pyannote[2675].start 13732.26471875
transcript.pyannote[2675].end 13737.59721875
transcript.pyannote[2676].speaker SPEAKER_06
transcript.pyannote[2676].start 13733.44596875
transcript.pyannote[2676].end 13734.89721875
transcript.pyannote[2677].speaker SPEAKER_06
transcript.pyannote[2677].start 13737.09096875
transcript.pyannote[2677].end 13739.65596875
transcript.pyannote[2678].speaker SPEAKER_09
transcript.pyannote[2678].start 13737.73221875
transcript.pyannote[2678].end 13738.72784375
transcript.pyannote[2679].speaker SPEAKER_06
transcript.pyannote[2679].start 13740.39846875
transcript.pyannote[2679].end 13744.68471875
transcript.pyannote[2680].speaker SPEAKER_06
transcript.pyannote[2680].start 13745.02221875
transcript.pyannote[2680].end 13755.88971875
transcript.pyannote[2681].speaker SPEAKER_00
transcript.pyannote[2681].start 13746.00096875
transcript.pyannote[2681].end 13746.01784375
transcript.pyannote[2682].speaker SPEAKER_05
transcript.pyannote[2682].start 13746.01784375
transcript.pyannote[2682].end 13749.67971875
transcript.pyannote[2683].speaker SPEAKER_06
transcript.pyannote[2683].start 13755.95721875
transcript.pyannote[2683].end 13757.45909375
transcript.pyannote[2684].speaker SPEAKER_06
transcript.pyannote[2684].start 13758.15096875
transcript.pyannote[2684].end 13758.70784375
transcript.pyannote[2685].speaker SPEAKER_09
transcript.pyannote[2685].start 13758.33659375
transcript.pyannote[2685].end 13759.50096875
transcript.pyannote[2686].speaker SPEAKER_06
transcript.pyannote[2686].start 13759.07909375
transcript.pyannote[2686].end 13760.27721875
transcript.pyannote[2687].speaker SPEAKER_09
transcript.pyannote[2687].start 13764.15846875
transcript.pyannote[2687].end 13764.19221875
transcript.pyannote[2688].speaker SPEAKER_07
transcript.pyannote[2688].start 13764.19221875
transcript.pyannote[2688].end 13764.90096875
transcript.pyannote[2689].speaker SPEAKER_06
transcript.pyannote[2689].start 13765.71096875
transcript.pyannote[2689].end 13781.72534375
transcript.pyannote[2690].speaker SPEAKER_07
transcript.pyannote[2690].start 13766.84159375
transcript.pyannote[2690].end 13767.34784375
transcript.pyannote[2691].speaker SPEAKER_06
transcript.pyannote[2691].start 13782.07971875
transcript.pyannote[2691].end 13795.29284375
transcript.pyannote[2692].speaker SPEAKER_06
transcript.pyannote[2692].start 13795.81596875
transcript.pyannote[2692].end 13798.53284375
transcript.pyannote[2693].speaker SPEAKER_06
transcript.pyannote[2693].start 13798.78596875
transcript.pyannote[2693].end 13800.13596875
transcript.pyannote[2694].speaker SPEAKER_05
transcript.pyannote[2694].start 13800.30471875
transcript.pyannote[2694].end 13800.72659375
transcript.pyannote[2695].speaker SPEAKER_06
transcript.pyannote[2695].start 13800.72659375
transcript.pyannote[2695].end 13807.27409375
transcript.pyannote[2696].speaker SPEAKER_09
transcript.pyannote[2696].start 13805.08034375
transcript.pyannote[2696].end 13807.40909375
transcript.pyannote[2697].speaker SPEAKER_09
transcript.pyannote[2697].start 13807.91534375
transcript.pyannote[2697].end 13814.74971875
transcript.pyannote[2698].speaker SPEAKER_06
transcript.pyannote[2698].start 13811.08784375
transcript.pyannote[2698].end 13811.12159375
transcript.pyannote[2699].speaker SPEAKER_09
transcript.pyannote[2699].start 13814.86784375
transcript.pyannote[2699].end 13816.40346875
transcript.pyannote[2700].speaker SPEAKER_09
transcript.pyannote[2700].start 13816.60596875
transcript.pyannote[2700].end 13817.77034375
transcript.pyannote[2701].speaker SPEAKER_06
transcript.pyannote[2701].start 13817.28096875
transcript.pyannote[2701].end 13818.10784375
transcript.pyannote[2702].speaker SPEAKER_09
transcript.pyannote[2702].start 13818.46221875
transcript.pyannote[2702].end 13822.02284375
transcript.pyannote[2703].speaker SPEAKER_06
transcript.pyannote[2703].start 13822.02284375
transcript.pyannote[2703].end 13822.27596875
transcript.pyannote[2704].speaker SPEAKER_09
transcript.pyannote[2704].start 13822.27596875
transcript.pyannote[2704].end 13823.03534375
transcript.pyannote[2705].speaker SPEAKER_06
transcript.pyannote[2705].start 13823.03534375
transcript.pyannote[2705].end 13829.75159375
transcript.pyannote[2706].speaker SPEAKER_09
transcript.pyannote[2706].start 13823.94659375
transcript.pyannote[2706].end 13825.14471875
transcript.pyannote[2707].speaker SPEAKER_09
transcript.pyannote[2707].start 13829.75159375
transcript.pyannote[2707].end 13833.12659375
transcript.pyannote[2708].speaker SPEAKER_09
transcript.pyannote[2708].start 13833.44721875
transcript.pyannote[2708].end 13833.58221875
transcript.pyannote[2709].speaker SPEAKER_09
transcript.pyannote[2709].start 13834.05471875
transcript.pyannote[2709].end 13835.08409375
transcript.pyannote[2710].speaker SPEAKER_09
transcript.pyannote[2710].start 13835.26971875
transcript.pyannote[2710].end 13837.14284375
transcript.pyannote[2711].speaker SPEAKER_06
transcript.pyannote[2711].start 13837.14284375
transcript.pyannote[2711].end 13839.97784375
transcript.pyannote[2712].speaker SPEAKER_09
transcript.pyannote[2712].start 13838.03721875
transcript.pyannote[2712].end 13838.93159375
transcript.pyannote[2713].speaker SPEAKER_09
transcript.pyannote[2713].start 13839.97784375
transcript.pyannote[2713].end 13847.72346875
transcript.pyannote[2714].speaker SPEAKER_06
transcript.pyannote[2714].start 13847.72346875
transcript.pyannote[2714].end 13847.75721875
transcript.pyannote[2715].speaker SPEAKER_09
transcript.pyannote[2715].start 13847.75721875
transcript.pyannote[2715].end 13850.76096875
transcript.pyannote[2716].speaker SPEAKER_06
transcript.pyannote[2716].start 13847.87534375
transcript.pyannote[2716].end 13849.36034375
transcript.pyannote[2717].speaker SPEAKER_06
transcript.pyannote[2717].start 13849.86659375
transcript.pyannote[2717].end 13868.39534375
transcript.pyannote[2718].speaker SPEAKER_09
transcript.pyannote[2718].start 13852.83659375
transcript.pyannote[2718].end 13853.56221875
transcript.pyannote[2719].speaker SPEAKER_09
transcript.pyannote[2719].start 13857.69659375
transcript.pyannote[2719].end 13857.71346875
transcript.pyannote[2720].speaker SPEAKER_07
transcript.pyannote[2720].start 13857.71346875
transcript.pyannote[2720].end 13859.33346875
transcript.pyannote[2721].speaker SPEAKER_07
transcript.pyannote[2721].start 13859.90721875
transcript.pyannote[2721].end 13860.43034375
transcript.pyannote[2722].speaker SPEAKER_06
transcript.pyannote[2722].start 13868.68221875
transcript.pyannote[2722].end 13869.55971875
transcript.pyannote[2723].speaker SPEAKER_06
transcript.pyannote[2723].start 13870.06596875
transcript.pyannote[2723].end 13871.23034375
transcript.pyannote[2724].speaker SPEAKER_06
transcript.pyannote[2724].start 13872.71534375
transcript.pyannote[2724].end 13882.06409375
transcript.pyannote[2725].speaker SPEAKER_06
transcript.pyannote[2725].start 13882.65471875
transcript.pyannote[2725].end 13886.11409375
transcript.pyannote[2726].speaker SPEAKER_06
transcript.pyannote[2726].start 13887.02534375
transcript.pyannote[2726].end 13892.13846875
transcript.pyannote[2727].speaker SPEAKER_06
transcript.pyannote[2727].start 13892.77971875
transcript.pyannote[2727].end 13903.76534375
transcript.pyannote[2728].speaker SPEAKER_06
transcript.pyannote[2728].start 13904.25471875
transcript.pyannote[2728].end 13917.18096875
transcript.pyannote[2729].speaker SPEAKER_06
transcript.pyannote[2729].start 13917.77159375
transcript.pyannote[2729].end 13921.95659375
transcript.pyannote[2730].speaker SPEAKER_06
transcript.pyannote[2730].start 13922.22659375
transcript.pyannote[2730].end 13927.05284375
transcript.pyannote[2731].speaker SPEAKER_06
transcript.pyannote[2731].start 13927.59284375
transcript.pyannote[2731].end 13927.96409375
transcript.pyannote[2732].speaker SPEAKER_10
transcript.pyannote[2732].start 13927.96409375
transcript.pyannote[2732].end 13928.85846875
transcript.pyannote[2733].speaker SPEAKER_06
transcript.pyannote[2733].start 13928.63909375
transcript.pyannote[2733].end 13933.81971875
transcript.pyannote[2734].speaker SPEAKER_09
transcript.pyannote[2734].start 13934.64659375
transcript.pyannote[2734].end 13937.39721875
transcript.pyannote[2735].speaker SPEAKER_06
transcript.pyannote[2735].start 13936.60409375
transcript.pyannote[2735].end 13937.54909375
transcript.pyannote[2736].speaker SPEAKER_09
transcript.pyannote[2736].start 13937.54909375
transcript.pyannote[2736].end 13956.07784375
transcript.pyannote[2737].speaker SPEAKER_06
transcript.pyannote[2737].start 13940.67096875
transcript.pyannote[2737].end 13941.27846875
transcript.pyannote[2738].speaker SPEAKER_06
transcript.pyannote[2738].start 13941.54846875
transcript.pyannote[2738].end 13942.94909375
transcript.pyannote[2739].speaker SPEAKER_06
transcript.pyannote[2739].start 13943.64096875
transcript.pyannote[2739].end 13944.28221875
transcript.pyannote[2740].speaker SPEAKER_06
transcript.pyannote[2740].start 13944.77159375
transcript.pyannote[2740].end 13945.21034375
transcript.pyannote[2741].speaker SPEAKER_00
transcript.pyannote[2741].start 13945.93596875
transcript.pyannote[2741].end 13945.95284375
transcript.pyannote[2742].speaker SPEAKER_09
transcript.pyannote[2742].start 13956.48284375
transcript.pyannote[2742].end 13961.64659375
transcript.pyannote[2743].speaker SPEAKER_06
transcript.pyannote[2743].start 13960.12784375
transcript.pyannote[2743].end 13961.73096875
transcript.pyannote[2744].speaker SPEAKER_09
transcript.pyannote[2744].start 13961.73096875
transcript.pyannote[2744].end 13961.96721875
transcript.pyannote[2745].speaker SPEAKER_06
transcript.pyannote[2745].start 13961.96721875
transcript.pyannote[2745].end 13962.69284375
transcript.pyannote[2746].speaker SPEAKER_09
transcript.pyannote[2746].start 13962.69284375
transcript.pyannote[2746].end 13962.87846875
transcript.pyannote[2747].speaker SPEAKER_06
transcript.pyannote[2747].start 13962.87846875
transcript.pyannote[2747].end 13963.87409375
transcript.pyannote[2748].speaker SPEAKER_09
transcript.pyannote[2748].start 13962.96284375
transcript.pyannote[2748].end 13971.02909375
transcript.pyannote[2749].speaker SPEAKER_09
transcript.pyannote[2749].start 13972.75034375
transcript.pyannote[2749].end 13981.39034375
transcript.pyannote[2750].speaker SPEAKER_06
transcript.pyannote[2750].start 13981.39034375
transcript.pyannote[2750].end 13982.65596875
transcript.pyannote[2751].speaker SPEAKER_06
transcript.pyannote[2751].start 13983.14534375
transcript.pyannote[2751].end 13985.45721875
transcript.pyannote[2752].speaker SPEAKER_06
transcript.pyannote[2752].start 13986.26721875
transcript.pyannote[2752].end 13994.75534375
transcript.pyannote[2753].speaker SPEAKER_09
transcript.pyannote[2753].start 13987.73534375
transcript.pyannote[2753].end 13988.00534375
transcript.pyannote[2754].speaker SPEAKER_07
transcript.pyannote[2754].start 13988.00534375
transcript.pyannote[2754].end 13988.14034375
transcript.pyannote[2755].speaker SPEAKER_11
transcript.pyannote[2755].start 13993.55721875
transcript.pyannote[2755].end 13994.62034375
transcript.pyannote[2756].speaker SPEAKER_06
transcript.pyannote[2756].start 13995.07596875
transcript.pyannote[2756].end 13995.09284375
transcript.pyannote[2757].speaker SPEAKER_11
transcript.pyannote[2757].start 13995.09284375
transcript.pyannote[2757].end 13997.48909375
transcript.pyannote[2758].speaker SPEAKER_11
transcript.pyannote[2758].start 13997.69159375
transcript.pyannote[2758].end 14000.15534375
transcript.pyannote[2759].speaker SPEAKER_34
transcript.pyannote[2759].start 14009.53784375
transcript.pyannote[2759].end 14010.71909375
transcript.pyannote[2760].speaker SPEAKER_11
transcript.pyannote[2760].start 14010.93846875
transcript.pyannote[2760].end 14011.76534375
transcript.pyannote[2761].speaker SPEAKER_34
transcript.pyannote[2761].start 14015.83221875
transcript.pyannote[2761].end 14016.43971875
transcript.pyannote[2762].speaker SPEAKER_34
transcript.pyannote[2762].start 14016.87846875
transcript.pyannote[2762].end 14036.77409375
transcript.pyannote[2763].speaker SPEAKER_09
transcript.pyannote[2763].start 14037.82034375
transcript.pyannote[2763].end 14040.60471875
transcript.pyannote[2764].speaker SPEAKER_09
transcript.pyannote[2764].start 14040.82409375
transcript.pyannote[2764].end 14043.55784375
transcript.pyannote[2765].speaker SPEAKER_34
transcript.pyannote[2765].start 14041.44846875
transcript.pyannote[2765].end 14041.63409375
transcript.pyannote[2766].speaker SPEAKER_09
transcript.pyannote[2766].start 14043.72659375
transcript.pyannote[2766].end 14050.02096875
transcript.pyannote[2767].speaker SPEAKER_34
transcript.pyannote[2767].start 14047.23659375
transcript.pyannote[2767].end 14050.81409375
transcript.pyannote[2768].speaker SPEAKER_05
transcript.pyannote[2768].start 14050.81409375
transcript.pyannote[2768].end 14051.01659375
transcript.pyannote[2769].speaker SPEAKER_34
transcript.pyannote[2769].start 14051.01659375
transcript.pyannote[2769].end 14054.37471875
transcript.pyannote[2770].speaker SPEAKER_34
transcript.pyannote[2770].start 14054.69534375
transcript.pyannote[2770].end 14074.05096875
transcript.pyannote[2771].speaker SPEAKER_34
transcript.pyannote[2771].start 14074.35471875
transcript.pyannote[2771].end 14087.01096875
transcript.pyannote[2772].speaker SPEAKER_34
transcript.pyannote[2772].start 14087.21346875
transcript.pyannote[2772].end 14104.12221875
transcript.pyannote[2773].speaker SPEAKER_10
transcript.pyannote[2773].start 14104.15596875
transcript.pyannote[2773].end 14104.62846875
transcript.pyannote[2774].speaker SPEAKER_34
transcript.pyannote[2774].start 14104.83096875
transcript.pyannote[2774].end 14109.03284375
transcript.pyannote[2775].speaker SPEAKER_34
transcript.pyannote[2775].start 14109.58971875
transcript.pyannote[2775].end 14120.60909375
transcript.pyannote[2776].speaker SPEAKER_09
transcript.pyannote[2776].start 14121.48659375
transcript.pyannote[2776].end 14123.24159375
transcript.pyannote[2777].speaker SPEAKER_34
transcript.pyannote[2777].start 14123.24159375
transcript.pyannote[2777].end 14125.87409375
transcript.pyannote[2778].speaker SPEAKER_34
transcript.pyannote[2778].start 14126.21159375
transcript.pyannote[2778].end 14129.43471875
transcript.pyannote[2779].speaker SPEAKER_34
transcript.pyannote[2779].start 14130.22784375
transcript.pyannote[2779].end 14147.33909375
transcript.pyannote[2780].speaker SPEAKER_09
transcript.pyannote[2780].start 14147.54159375
transcript.pyannote[2780].end 14155.01721875
transcript.pyannote[2781].speaker SPEAKER_09
transcript.pyannote[2781].start 14155.47284375
transcript.pyannote[2781].end 14159.21909375
transcript.pyannote[2782].speaker SPEAKER_09
transcript.pyannote[2782].start 14159.30346875
transcript.pyannote[2782].end 14162.45909375
transcript.pyannote[2783].speaker SPEAKER_34
transcript.pyannote[2783].start 14162.45909375
transcript.pyannote[2783].end 14162.49284375
transcript.pyannote[2784].speaker SPEAKER_34
transcript.pyannote[2784].start 14162.77971875
transcript.pyannote[2784].end 14171.99346875
transcript.pyannote[2785].speaker SPEAKER_34
transcript.pyannote[2785].start 14173.76534375
transcript.pyannote[2785].end 14181.61221875
transcript.pyannote[2786].speaker SPEAKER_34
transcript.pyannote[2786].start 14182.16909375
transcript.pyannote[2786].end 14188.04159375
transcript.pyannote[2787].speaker SPEAKER_34
transcript.pyannote[2787].start 14191.26471875
transcript.pyannote[2787].end 14193.54284375
transcript.pyannote[2788].speaker SPEAKER_34
transcript.pyannote[2788].start 14194.01534375
transcript.pyannote[2788].end 14217.50534375
transcript.pyannote[2789].speaker SPEAKER_05
transcript.pyannote[2789].start 14206.75596875
transcript.pyannote[2789].end 14206.77284375
transcript.pyannote[2790].speaker SPEAKER_05
transcript.pyannote[2790].start 14206.87409375
transcript.pyannote[2790].end 14206.89096875
transcript.pyannote[2791].speaker SPEAKER_05
transcript.pyannote[2791].start 14212.35846875
transcript.pyannote[2791].end 14212.37534375
transcript.pyannote[2792].speaker SPEAKER_09
transcript.pyannote[2792].start 14212.37534375
transcript.pyannote[2792].end 14212.69596875
transcript.pyannote[2793].speaker SPEAKER_05
transcript.pyannote[2793].start 14212.69596875
transcript.pyannote[2793].end 14212.76346875
transcript.pyannote[2794].speaker SPEAKER_05
transcript.pyannote[2794].start 14212.93221875
transcript.pyannote[2794].end 14212.96596875
transcript.pyannote[2795].speaker SPEAKER_09
transcript.pyannote[2795].start 14218.39971875
transcript.pyannote[2795].end 14218.46721875
transcript.pyannote[2796].speaker SPEAKER_09
transcript.pyannote[2796].start 14218.58534375
transcript.pyannote[2796].end 14224.33971875
transcript.pyannote[2797].speaker SPEAKER_34
transcript.pyannote[2797].start 14224.52534375
transcript.pyannote[2797].end 14229.48659375
transcript.pyannote[2798].speaker SPEAKER_09
transcript.pyannote[2798].start 14230.39784375
transcript.pyannote[2798].end 14232.03471875
transcript.pyannote[2799].speaker SPEAKER_34
transcript.pyannote[2799].start 14232.03471875
transcript.pyannote[2799].end 14233.94159375
transcript.pyannote[2800].speaker SPEAKER_09
transcript.pyannote[2800].start 14232.60846875
transcript.pyannote[2800].end 14232.87846875
transcript.pyannote[2801].speaker SPEAKER_34
transcript.pyannote[2801].start 14234.54909375
transcript.pyannote[2801].end 14241.13034375
transcript.pyannote[2802].speaker SPEAKER_09
transcript.pyannote[2802].start 14237.85659375
transcript.pyannote[2802].end 14237.90721875
transcript.pyannote[2803].speaker SPEAKER_05
transcript.pyannote[2803].start 14237.90721875
transcript.pyannote[2803].end 14238.24471875
transcript.pyannote[2804].speaker SPEAKER_34
transcript.pyannote[2804].start 14241.31596875
transcript.pyannote[2804].end 14244.79221875
transcript.pyannote[2805].speaker SPEAKER_34
transcript.pyannote[2805].start 14245.36596875
transcript.pyannote[2805].end 14248.67346875
transcript.pyannote[2806].speaker SPEAKER_34
transcript.pyannote[2806].start 14249.41596875
transcript.pyannote[2806].end 14252.26784375
transcript.pyannote[2807].speaker SPEAKER_34
transcript.pyannote[2807].start 14253.07784375
transcript.pyannote[2807].end 14258.07284375
transcript.pyannote[2808].speaker SPEAKER_34
transcript.pyannote[2808].start 14258.84909375
transcript.pyannote[2808].end 14265.19409375
transcript.pyannote[2809].speaker SPEAKER_34
transcript.pyannote[2809].start 14265.85221875
transcript.pyannote[2809].end 14275.89284375
transcript.pyannote[2810].speaker SPEAKER_09
transcript.pyannote[2810].start 14276.21346875
transcript.pyannote[2810].end 14287.21596875
transcript.pyannote[2811].speaker SPEAKER_34
transcript.pyannote[2811].start 14283.79034375
transcript.pyannote[2811].end 14284.09409375
transcript.pyannote[2812].speaker SPEAKER_34
transcript.pyannote[2812].start 14285.81534375
transcript.pyannote[2812].end 14292.76784375
transcript.pyannote[2813].speaker SPEAKER_09
transcript.pyannote[2813].start 14289.67971875
transcript.pyannote[2813].end 14290.16909375
transcript.pyannote[2814].speaker SPEAKER_09
transcript.pyannote[2814].start 14290.81034375
transcript.pyannote[2814].end 14291.97471875
transcript.pyannote[2815].speaker SPEAKER_10
transcript.pyannote[2815].start 14291.97471875
transcript.pyannote[2815].end 14292.73409375
transcript.pyannote[2816].speaker SPEAKER_10
transcript.pyannote[2816].start 14292.76784375
transcript.pyannote[2816].end 14293.02096875
transcript.pyannote[2817].speaker SPEAKER_34
transcript.pyannote[2817].start 14293.02096875
transcript.pyannote[2817].end 14308.66409375
transcript.pyannote[2818].speaker SPEAKER_34
transcript.pyannote[2818].start 14309.87909375
transcript.pyannote[2818].end 14319.12659375
transcript.pyannote[2819].speaker SPEAKER_34
transcript.pyannote[2819].start 14319.49784375
transcript.pyannote[2819].end 14335.14096875
transcript.pyannote[2820].speaker SPEAKER_34
transcript.pyannote[2820].start 14335.73159375
transcript.pyannote[2820].end 14347.72971875
transcript.pyannote[2821].speaker SPEAKER_09
transcript.pyannote[2821].start 14347.32471875
transcript.pyannote[2821].end 14349.78846875
transcript.pyannote[2822].speaker SPEAKER_34
transcript.pyannote[2822].start 14348.48909375
transcript.pyannote[2822].end 14349.67034375
transcript.pyannote[2823].speaker SPEAKER_11
transcript.pyannote[2823].start 14349.67034375
transcript.pyannote[2823].end 14349.70409375
transcript.pyannote[2824].speaker SPEAKER_11
transcript.pyannote[2824].start 14349.78846875
transcript.pyannote[2824].end 14350.59846875
transcript.pyannote[2825].speaker SPEAKER_09
transcript.pyannote[2825].start 14350.59846875
transcript.pyannote[2825].end 14350.61534375
transcript.pyannote[2826].speaker SPEAKER_11
transcript.pyannote[2826].start 14352.15096875
transcript.pyannote[2826].end 14352.25221875
transcript.pyannote[2827].speaker SPEAKER_11
transcript.pyannote[2827].start 14352.42096875
transcript.pyannote[2827].end 14356.31909375
transcript.pyannote[2828].speaker SPEAKER_22
transcript.pyannote[2828].start 14363.69346875
transcript.pyannote[2828].end 14365.71846875
transcript.pyannote[2829].speaker SPEAKER_11
transcript.pyannote[2829].start 14365.95471875
transcript.pyannote[2829].end 14366.79846875
transcript.pyannote[2830].speaker SPEAKER_22
transcript.pyannote[2830].start 14370.61221875
transcript.pyannote[2830].end 14383.36971875
transcript.pyannote[2831].speaker SPEAKER_05
transcript.pyannote[2831].start 14383.20096875
transcript.pyannote[2831].end 14383.58909375
transcript.pyannote[2832].speaker SPEAKER_22
transcript.pyannote[2832].start 14383.67346875
transcript.pyannote[2832].end 14402.08409375
transcript.pyannote[2833].speaker SPEAKER_05
transcript.pyannote[2833].start 14401.69596875
transcript.pyannote[2833].end 14401.83096875
transcript.pyannote[2834].speaker SPEAKER_22
transcript.pyannote[2834].start 14402.11784375
transcript.pyannote[2834].end 14403.36659375
transcript.pyannote[2835].speaker SPEAKER_05
transcript.pyannote[2835].start 14402.38784375
transcript.pyannote[2835].end 14402.47221875
transcript.pyannote[2836].speaker SPEAKER_22
transcript.pyannote[2836].start 14404.02471875
transcript.pyannote[2836].end 14409.86346875
transcript.pyannote[2837].speaker SPEAKER_09
transcript.pyannote[2837].start 14414.35221875
transcript.pyannote[2837].end 14415.93846875
transcript.pyannote[2838].speaker SPEAKER_22
transcript.pyannote[2838].start 14415.36471875
transcript.pyannote[2838].end 14417.62596875
transcript.pyannote[2839].speaker SPEAKER_09
transcript.pyannote[2839].start 14417.62596875
transcript.pyannote[2839].end 14431.34534375
transcript.pyannote[2840].speaker SPEAKER_22
transcript.pyannote[2840].start 14421.64221875
transcript.pyannote[2840].end 14422.06409375
transcript.pyannote[2841].speaker SPEAKER_08
transcript.pyannote[2841].start 14422.06409375
transcript.pyannote[2841].end 14422.08096875
transcript.pyannote[2842].speaker SPEAKER_08
transcript.pyannote[2842].start 14424.20721875
transcript.pyannote[2842].end 14424.22409375
transcript.pyannote[2843].speaker SPEAKER_22
transcript.pyannote[2843].start 14424.22409375
transcript.pyannote[2843].end 14424.59534375
transcript.pyannote[2844].speaker SPEAKER_22
transcript.pyannote[2844].start 14428.25721875
transcript.pyannote[2844].end 14428.64534375
transcript.pyannote[2845].speaker SPEAKER_22
transcript.pyannote[2845].start 14430.95721875
transcript.pyannote[2845].end 14444.72721875
transcript.pyannote[2846].speaker SPEAKER_00
transcript.pyannote[2846].start 14441.79096875
transcript.pyannote[2846].end 14442.02721875
transcript.pyannote[2847].speaker SPEAKER_04
transcript.pyannote[2847].start 14442.02721875
transcript.pyannote[2847].end 14443.24221875
transcript.pyannote[2848].speaker SPEAKER_22
transcript.pyannote[2848].start 14444.81159375
transcript.pyannote[2848].end 14452.30409375
transcript.pyannote[2849].speaker SPEAKER_22
transcript.pyannote[2849].start 14452.50659375
transcript.pyannote[2849].end 14455.66221875
transcript.pyannote[2850].speaker SPEAKER_22
transcript.pyannote[2850].start 14455.99971875
transcript.pyannote[2850].end 14463.45846875
transcript.pyannote[2851].speaker SPEAKER_22
transcript.pyannote[2851].start 14464.15034375
transcript.pyannote[2851].end 14466.79971875
transcript.pyannote[2852].speaker SPEAKER_22
transcript.pyannote[2852].start 14467.60971875
transcript.pyannote[2852].end 14470.88346875
transcript.pyannote[2853].speaker SPEAKER_22
transcript.pyannote[2853].start 14471.35596875
transcript.pyannote[2853].end 14474.88284375
transcript.pyannote[2854].speaker SPEAKER_22
transcript.pyannote[2854].start 14475.49034375
transcript.pyannote[2854].end 14481.44721875
transcript.pyannote[2855].speaker SPEAKER_22
transcript.pyannote[2855].start 14481.80159375
transcript.pyannote[2855].end 14482.56096875
transcript.pyannote[2856].speaker SPEAKER_22
transcript.pyannote[2856].start 14483.80971875
transcript.pyannote[2856].end 14496.29721875
transcript.pyannote[2857].speaker SPEAKER_22
transcript.pyannote[2857].start 14496.51659375
transcript.pyannote[2857].end 14500.66784375
transcript.pyannote[2858].speaker SPEAKER_09
transcript.pyannote[2858].start 14498.37284375
transcript.pyannote[2858].end 14499.13221875
transcript.pyannote[2859].speaker SPEAKER_09
transcript.pyannote[2859].start 14500.66784375
transcript.pyannote[2859].end 14500.70159375
transcript.pyannote[2860].speaker SPEAKER_22
transcript.pyannote[2860].start 14500.70159375
transcript.pyannote[2860].end 14500.71846875
transcript.pyannote[2861].speaker SPEAKER_09
transcript.pyannote[2861].start 14500.92096875
transcript.pyannote[2861].end 14512.53096875
transcript.pyannote[2862].speaker SPEAKER_22
transcript.pyannote[2862].start 14503.28346875
transcript.pyannote[2862].end 14503.51971875
transcript.pyannote[2863].speaker SPEAKER_08
transcript.pyannote[2863].start 14503.51971875
transcript.pyannote[2863].end 14505.51096875
transcript.pyannote[2864].speaker SPEAKER_22
transcript.pyannote[2864].start 14509.34159375
transcript.pyannote[2864].end 14509.59471875
transcript.pyannote[2865].speaker SPEAKER_22
transcript.pyannote[2865].start 14512.56471875
transcript.pyannote[2865].end 14521.87971875
transcript.pyannote[2866].speaker SPEAKER_09
transcript.pyannote[2866].start 14522.80784375
transcript.pyannote[2866].end 14525.99721875
transcript.pyannote[2867].speaker SPEAKER_09
transcript.pyannote[2867].start 14526.53721875
transcript.pyannote[2867].end 14534.58659375
transcript.pyannote[2868].speaker SPEAKER_22
transcript.pyannote[2868].start 14534.58659375
transcript.pyannote[2868].end 14539.95284375
transcript.pyannote[2869].speaker SPEAKER_09
transcript.pyannote[2869].start 14535.24471875
transcript.pyannote[2869].end 14536.59471875
transcript.pyannote[2870].speaker SPEAKER_09
transcript.pyannote[2870].start 14538.75471875
transcript.pyannote[2870].end 14542.02846875
transcript.pyannote[2871].speaker SPEAKER_22
transcript.pyannote[2871].start 14541.10034375
transcript.pyannote[2871].end 14541.47159375
transcript.pyannote[2872].speaker SPEAKER_09
transcript.pyannote[2872].start 14542.48409375
transcript.pyannote[2872].end 14544.22221875
transcript.pyannote[2873].speaker SPEAKER_09
transcript.pyannote[2873].start 14544.76221875
transcript.pyannote[2873].end 14548.25534375
transcript.pyannote[2874].speaker SPEAKER_22
transcript.pyannote[2874].start 14548.25534375
transcript.pyannote[2874].end 14571.18846875
transcript.pyannote[2875].speaker SPEAKER_22
transcript.pyannote[2875].start 14571.50909375
transcript.pyannote[2875].end 14575.28909375
transcript.pyannote[2876].speaker SPEAKER_22
transcript.pyannote[2876].start 14575.54221875
transcript.pyannote[2876].end 14579.15346875
transcript.pyannote[2877].speaker SPEAKER_22
transcript.pyannote[2877].start 14580.03096875
transcript.pyannote[2877].end 14593.24409375
transcript.pyannote[2878].speaker SPEAKER_05
transcript.pyannote[2878].start 14593.14284375
transcript.pyannote[2878].end 14593.69971875
transcript.pyannote[2879].speaker SPEAKER_22
transcript.pyannote[2879].start 14593.26096875
transcript.pyannote[2879].end 14610.13596875
transcript.pyannote[2880].speaker SPEAKER_03
transcript.pyannote[2880].start 14606.74409375
transcript.pyannote[2880].end 14606.86221875
transcript.pyannote[2881].speaker SPEAKER_05
transcript.pyannote[2881].start 14606.86221875
transcript.pyannote[2881].end 14606.89596875
transcript.pyannote[2882].speaker SPEAKER_22
transcript.pyannote[2882].start 14610.32159375
transcript.pyannote[2882].end 14611.45221875
transcript.pyannote[2883].speaker SPEAKER_22
transcript.pyannote[2883].start 14612.38034375
transcript.pyannote[2883].end 14623.83846875
transcript.pyannote[2884].speaker SPEAKER_22
transcript.pyannote[2884].start 14624.66534375
transcript.pyannote[2884].end 14626.11659375
transcript.pyannote[2885].speaker SPEAKER_22
transcript.pyannote[2885].start 14626.70721875
transcript.pyannote[2885].end 14629.15409375
transcript.pyannote[2886].speaker SPEAKER_22
transcript.pyannote[2886].start 14629.49159375
transcript.pyannote[2886].end 14636.98409375
transcript.pyannote[2887].speaker SPEAKER_09
transcript.pyannote[2887].start 14636.98409375
transcript.pyannote[2887].end 14637.30471875
transcript.pyannote[2888].speaker SPEAKER_23
transcript.pyannote[2888].start 14637.30471875
transcript.pyannote[2888].end 14637.45659375
transcript.pyannote[2889].speaker SPEAKER_09
transcript.pyannote[2889].start 14637.45659375
transcript.pyannote[2889].end 14637.57471875
transcript.pyannote[2890].speaker SPEAKER_22
transcript.pyannote[2890].start 14638.03034375
transcript.pyannote[2890].end 14639.39721875
transcript.pyannote[2891].speaker SPEAKER_09
transcript.pyannote[2891].start 14640.67971875
transcript.pyannote[2891].end 14646.26534375
transcript.pyannote[2892].speaker SPEAKER_09
transcript.pyannote[2892].start 14646.73784375
transcript.pyannote[2892].end 14647.05846875
transcript.pyannote[2893].speaker SPEAKER_09
transcript.pyannote[2893].start 14647.41284375
transcript.pyannote[2893].end 14652.82971875
transcript.pyannote[2894].speaker SPEAKER_09
transcript.pyannote[2894].start 14653.16721875
transcript.pyannote[2894].end 14658.17909375
transcript.pyannote[2895].speaker SPEAKER_22
transcript.pyannote[2895].start 14658.21284375
transcript.pyannote[2895].end 14661.53721875
transcript.pyannote[2896].speaker SPEAKER_09
transcript.pyannote[2896].start 14661.79034375
transcript.pyannote[2896].end 14662.33034375
transcript.pyannote[2897].speaker SPEAKER_22
transcript.pyannote[2897].start 14662.02659375
transcript.pyannote[2897].end 14664.92909375
transcript.pyannote[2898].speaker SPEAKER_09
transcript.pyannote[2898].start 14663.02221875
transcript.pyannote[2898].end 14670.39659375
transcript.pyannote[2899].speaker SPEAKER_22
transcript.pyannote[2899].start 14666.97096875
transcript.pyannote[2899].end 14667.39284375
transcript.pyannote[2900].speaker SPEAKER_08
transcript.pyannote[2900].start 14667.39284375
transcript.pyannote[2900].end 14667.40971875
transcript.pyannote[2901].speaker SPEAKER_09
transcript.pyannote[2901].start 14670.59909375
transcript.pyannote[2901].end 14672.38784375
transcript.pyannote[2902].speaker SPEAKER_22
transcript.pyannote[2902].start 14672.67471875
transcript.pyannote[2902].end 14677.99034375
transcript.pyannote[2903].speaker SPEAKER_09
transcript.pyannote[2903].start 14677.99034375
transcript.pyannote[2903].end 14681.80409375
transcript.pyannote[2904].speaker SPEAKER_09
transcript.pyannote[2904].start 14682.20909375
transcript.pyannote[2904].end 14685.16221875
transcript.pyannote[2905].speaker SPEAKER_07
transcript.pyannote[2905].start 14684.99346875
transcript.pyannote[2905].end 14685.12846875
transcript.pyannote[2906].speaker SPEAKER_07
transcript.pyannote[2906].start 14685.16221875
transcript.pyannote[2906].end 14685.38159375
transcript.pyannote[2907].speaker SPEAKER_09
transcript.pyannote[2907].start 14685.38159375
transcript.pyannote[2907].end 14690.81534375
transcript.pyannote[2908].speaker SPEAKER_22
transcript.pyannote[2908].start 14690.81534375
transcript.pyannote[2908].end 14690.84909375
transcript.pyannote[2909].speaker SPEAKER_09
transcript.pyannote[2909].start 14690.84909375
transcript.pyannote[2909].end 14690.89971875
transcript.pyannote[2910].speaker SPEAKER_22
transcript.pyannote[2910].start 14690.89971875
transcript.pyannote[2910].end 14692.14846875
transcript.pyannote[2911].speaker SPEAKER_09
transcript.pyannote[2911].start 14694.35909375
transcript.pyannote[2911].end 14694.81471875
transcript.pyannote[2912].speaker SPEAKER_22
transcript.pyannote[2912].start 14694.81471875
transcript.pyannote[2912].end 14702.67846875
transcript.pyannote[2913].speaker SPEAKER_22
transcript.pyannote[2913].start 14702.96534375
transcript.pyannote[2913].end 14719.90784375
transcript.pyannote[2914].speaker SPEAKER_05
transcript.pyannote[2914].start 14719.72221875
transcript.pyannote[2914].end 14720.22846875
transcript.pyannote[2915].speaker SPEAKER_22
transcript.pyannote[2915].start 14720.22846875
transcript.pyannote[2915].end 14736.46221875
transcript.pyannote[2916].speaker SPEAKER_10
transcript.pyannote[2916].start 14737.42409375
transcript.pyannote[2916].end 14737.94721875
transcript.pyannote[2917].speaker SPEAKER_22
transcript.pyannote[2917].start 14738.60534375
transcript.pyannote[2917].end 14743.70159375
transcript.pyannote[2918].speaker SPEAKER_10
transcript.pyannote[2918].start 14739.07784375
transcript.pyannote[2918].end 14741.45721875
transcript.pyannote[2919].speaker SPEAKER_09
transcript.pyannote[2919].start 14741.45721875
transcript.pyannote[2919].end 14745.33846875
transcript.pyannote[2920].speaker SPEAKER_22
transcript.pyannote[2920].start 14744.00534375
transcript.pyannote[2920].end 14745.05159375
transcript.pyannote[2921].speaker SPEAKER_09
transcript.pyannote[2921].start 14745.89534375
transcript.pyannote[2921].end 14749.86096875
transcript.pyannote[2922].speaker SPEAKER_09
transcript.pyannote[2922].start 14750.24909375
transcript.pyannote[2922].end 14753.99534375
transcript.pyannote[2923].speaker SPEAKER_22
transcript.pyannote[2923].start 14751.41346875
transcript.pyannote[2923].end 14752.17284375
transcript.pyannote[2924].speaker SPEAKER_22
transcript.pyannote[2924].start 14752.54409375
transcript.pyannote[2924].end 14764.99784375
transcript.pyannote[2925].speaker SPEAKER_22
transcript.pyannote[2925].start 14765.68971875
transcript.pyannote[2925].end 14779.94909375
transcript.pyannote[2926].speaker SPEAKER_22
transcript.pyannote[2926].start 14781.23159375
transcript.pyannote[2926].end 14784.60659375
transcript.pyannote[2927].speaker SPEAKER_22
transcript.pyannote[2927].start 14784.75846875
transcript.pyannote[2927].end 14786.29409375
transcript.pyannote[2928].speaker SPEAKER_22
transcript.pyannote[2928].start 14786.46284375
transcript.pyannote[2928].end 14787.91409375
transcript.pyannote[2929].speaker SPEAKER_22
transcript.pyannote[2929].start 14788.36971875
transcript.pyannote[2929].end 14806.37534375
transcript.pyannote[2930].speaker SPEAKER_22
transcript.pyannote[2930].start 14807.96159375
transcript.pyannote[2930].end 14809.29471875
transcript.pyannote[2931].speaker SPEAKER_09
transcript.pyannote[2931].start 14808.87284375
transcript.pyannote[2931].end 14810.34096875
transcript.pyannote[2932].speaker SPEAKER_22
transcript.pyannote[2932].start 14809.88534375
transcript.pyannote[2932].end 14811.21846875
transcript.pyannote[2933].speaker SPEAKER_09
transcript.pyannote[2933].start 14811.43784375
transcript.pyannote[2933].end 14814.28971875
transcript.pyannote[2934].speaker SPEAKER_09
transcript.pyannote[2934].start 14814.61034375
transcript.pyannote[2934].end 14820.97221875
transcript.pyannote[2935].speaker SPEAKER_22
transcript.pyannote[2935].start 14817.02346875
transcript.pyannote[2935].end 14817.27659375
transcript.pyannote[2936].speaker SPEAKER_22
transcript.pyannote[2936].start 14819.47034375
transcript.pyannote[2936].end 14824.00971875
transcript.pyannote[2937].speaker SPEAKER_09
transcript.pyannote[2937].start 14824.70159375
transcript.pyannote[2937].end 14827.01346875
transcript.pyannote[2938].speaker SPEAKER_22
transcript.pyannote[2938].start 14826.89534375
transcript.pyannote[2938].end 14828.65034375
transcript.pyannote[2939].speaker SPEAKER_09
transcript.pyannote[2939].start 14827.97534375
transcript.pyannote[2939].end 14830.15221875
transcript.pyannote[2940].speaker SPEAKER_22
transcript.pyannote[2940].start 14829.98346875
transcript.pyannote[2940].end 14844.09096875
transcript.pyannote[2941].speaker SPEAKER_09
transcript.pyannote[2941].start 14832.56534375
transcript.pyannote[2941].end 14832.97034375
transcript.pyannote[2942].speaker SPEAKER_09
transcript.pyannote[2942].start 14834.53971875
transcript.pyannote[2942].end 14834.59034375
transcript.pyannote[2943].speaker SPEAKER_09
transcript.pyannote[2943].start 14843.36534375
transcript.pyannote[2943].end 14843.44971875
transcript.pyannote[2944].speaker SPEAKER_05
transcript.pyannote[2944].start 14843.44971875
transcript.pyannote[2944].end 14844.00659375
transcript.pyannote[2945].speaker SPEAKER_23
transcript.pyannote[2945].start 14844.00659375
transcript.pyannote[2945].end 14844.02346875
transcript.pyannote[2946].speaker SPEAKER_05
transcript.pyannote[2946].start 14844.09096875
transcript.pyannote[2946].end 14844.10784375
transcript.pyannote[2947].speaker SPEAKER_09
transcript.pyannote[2947].start 14844.10784375
transcript.pyannote[2947].end 14844.29346875
transcript.pyannote[2948].speaker SPEAKER_09
transcript.pyannote[2948].start 14844.64784375
transcript.pyannote[2948].end 14846.40284375
transcript.pyannote[2949].speaker SPEAKER_22
transcript.pyannote[2949].start 14845.94721875
transcript.pyannote[2949].end 14847.88784375
transcript.pyannote[2950].speaker SPEAKER_23
transcript.pyannote[2950].start 14847.88784375
transcript.pyannote[2950].end 14848.02284375
transcript.pyannote[2951].speaker SPEAKER_09
transcript.pyannote[2951].start 14848.02284375
transcript.pyannote[2951].end 14848.09034375
transcript.pyannote[2952].speaker SPEAKER_22
transcript.pyannote[2952].start 14849.37284375
transcript.pyannote[2952].end 14849.87909375
transcript.pyannote[2953].speaker SPEAKER_09
transcript.pyannote[2953].start 14850.57096875
transcript.pyannote[2953].end 14851.12784375
transcript.pyannote[2954].speaker SPEAKER_09
transcript.pyannote[2954].start 14851.39784375
transcript.pyannote[2954].end 14852.37659375
transcript.pyannote[2955].speaker SPEAKER_09
transcript.pyannote[2955].start 14852.42721875
transcript.pyannote[2955].end 14854.21596875
transcript.pyannote[2956].speaker SPEAKER_09
transcript.pyannote[2956].start 14854.28346875
transcript.pyannote[2956].end 14855.88659375
transcript.pyannote[2957].speaker SPEAKER_22
transcript.pyannote[2957].start 14854.85721875
transcript.pyannote[2957].end 14855.41409375
transcript.pyannote[2958].speaker SPEAKER_09
transcript.pyannote[2958].start 14856.51096875
transcript.pyannote[2958].end 14856.61221875
transcript.pyannote[2959].speaker SPEAKER_22
transcript.pyannote[2959].start 14856.61221875
transcript.pyannote[2959].end 14859.31221875
transcript.pyannote[2960].speaker SPEAKER_09
transcript.pyannote[2960].start 14856.62909375
transcript.pyannote[2960].end 14856.64596875
transcript.pyannote[2961].speaker SPEAKER_22
transcript.pyannote[2961].start 14859.95346875
transcript.pyannote[2961].end 14861.94471875
transcript.pyannote[2962].speaker SPEAKER_09
transcript.pyannote[2962].start 14863.00784375
transcript.pyannote[2962].end 14863.63221875
transcript.pyannote[2963].speaker SPEAKER_09
transcript.pyannote[2963].start 14864.49284375
transcript.pyannote[2963].end 14866.23096875
transcript.pyannote[2964].speaker SPEAKER_09
transcript.pyannote[2964].start 14866.97346875
transcript.pyannote[2964].end 14867.04096875
transcript.pyannote[2965].speaker SPEAKER_09
transcript.pyannote[2965].start 14867.12534375
transcript.pyannote[2965].end 14867.19284375
transcript.pyannote[2966].speaker SPEAKER_23
transcript.pyannote[2966].start 14867.19284375
transcript.pyannote[2966].end 14869.21784375
transcript.pyannote[2967].speaker SPEAKER_22
transcript.pyannote[2967].start 14868.89721875
transcript.pyannote[2967].end 14870.16284375
transcript.pyannote[2968].speaker SPEAKER_23
transcript.pyannote[2968].start 14870.83784375
transcript.pyannote[2968].end 14872.45784375
transcript.pyannote[2969].speaker SPEAKER_22
transcript.pyannote[2969].start 14872.49159375
transcript.pyannote[2969].end 14874.83721875
transcript.pyannote[2970].speaker SPEAKER_07
transcript.pyannote[2970].start 14876.84534375
transcript.pyannote[2970].end 14878.04346875
transcript.pyannote[2971].speaker SPEAKER_22
transcript.pyannote[2971].start 14878.04346875
transcript.pyannote[2971].end 14886.00846875
transcript.pyannote[2972].speaker SPEAKER_07
transcript.pyannote[2972].start 14878.17846875
transcript.pyannote[2972].end 14878.19534375
transcript.pyannote[2973].speaker SPEAKER_07
transcript.pyannote[2973].start 14883.39284375
transcript.pyannote[2973].end 14884.48971875
transcript.pyannote[2974].speaker SPEAKER_22
transcript.pyannote[2974].start 14886.78471875
transcript.pyannote[2974].end 14887.29096875
transcript.pyannote[2975].speaker SPEAKER_07
transcript.pyannote[2975].start 14887.71284375
transcript.pyannote[2975].end 14888.94471875
transcript.pyannote[2976].speaker SPEAKER_22
transcript.pyannote[2976].start 14888.47221875
transcript.pyannote[2976].end 14889.02909375
transcript.pyannote[2977].speaker SPEAKER_07
transcript.pyannote[2977].start 14889.77159375
transcript.pyannote[2977].end 14889.78846875
transcript.pyannote[2978].speaker SPEAKER_07
transcript.pyannote[2978].start 14889.92346875
transcript.pyannote[2978].end 14891.86409375
transcript.pyannote[2979].speaker SPEAKER_22
transcript.pyannote[2979].start 14890.91909375
transcript.pyannote[2979].end 14899.05284375
transcript.pyannote[2980].speaker SPEAKER_22
transcript.pyannote[2980].start 14899.13721875
transcript.pyannote[2980].end 14899.18784375
transcript.pyannote[2981].speaker SPEAKER_10
transcript.pyannote[2981].start 14899.18784375
transcript.pyannote[2981].end 14899.37346875
transcript.pyannote[2982].speaker SPEAKER_22
transcript.pyannote[2982].start 14899.37346875
transcript.pyannote[2982].end 14899.93034375
transcript.pyannote[2983].speaker SPEAKER_11
transcript.pyannote[2983].start 14900.60534375
transcript.pyannote[2983].end 14905.34721875
transcript.pyannote[2984].speaker SPEAKER_29
transcript.pyannote[2984].start 14915.60721875
transcript.pyannote[2984].end 14916.61971875
transcript.pyannote[2985].speaker SPEAKER_29
transcript.pyannote[2985].start 14917.12596875
transcript.pyannote[2985].end 14917.91909375
transcript.pyannote[2986].speaker SPEAKER_29
transcript.pyannote[2986].start 14918.29034375
transcript.pyannote[2986].end 14919.40409375
transcript.pyannote[2987].speaker SPEAKER_11
transcript.pyannote[2987].start 14920.11284375
transcript.pyannote[2987].end 14920.92284375
transcript.pyannote[2988].speaker SPEAKER_11
transcript.pyannote[2988].start 14924.73659375
transcript.pyannote[2988].end 14925.02346875
transcript.pyannote[2989].speaker SPEAKER_10
transcript.pyannote[2989].start 14925.02346875
transcript.pyannote[2989].end 14925.37784375
transcript.pyannote[2990].speaker SPEAKER_29
transcript.pyannote[2990].start 14928.01034375
transcript.pyannote[2990].end 14929.56284375
transcript.pyannote[2991].speaker SPEAKER_29
transcript.pyannote[2991].start 14930.18721875
transcript.pyannote[2991].end 14933.32596875
transcript.pyannote[2992].speaker SPEAKER_29
transcript.pyannote[2992].start 14933.54534375
transcript.pyannote[2992].end 14936.02596875
transcript.pyannote[2993].speaker SPEAKER_29
transcript.pyannote[2993].start 14937.78096875
transcript.pyannote[2993].end 14955.24659375
transcript.pyannote[2994].speaker SPEAKER_00
transcript.pyannote[2994].start 14949.17159375
transcript.pyannote[2994].end 14949.40784375
transcript.pyannote[2995].speaker SPEAKER_29
transcript.pyannote[2995].start 14955.60096875
transcript.pyannote[2995].end 14957.54159375
transcript.pyannote[2996].speaker SPEAKER_29
transcript.pyannote[2996].start 14957.79471875
transcript.pyannote[2996].end 14976.91409375
transcript.pyannote[2997].speaker SPEAKER_29
transcript.pyannote[2997].start 14977.06596875
transcript.pyannote[2997].end 14978.55096875
transcript.pyannote[2998].speaker SPEAKER_29
transcript.pyannote[2998].start 14978.77034375
transcript.pyannote[2998].end 15007.87971875
transcript.pyannote[2999].speaker SPEAKER_29
transcript.pyannote[2999].start 15008.16659375
transcript.pyannote[2999].end 15013.58346875
transcript.pyannote[3000].speaker SPEAKER_29
transcript.pyannote[3000].start 15013.78596875
transcript.pyannote[3000].end 15015.32159375
transcript.pyannote[3001].speaker SPEAKER_29
transcript.pyannote[3001].start 15016.14846875
transcript.pyannote[3001].end 15019.06784375
transcript.pyannote[3002].speaker SPEAKER_29
transcript.pyannote[3002].start 15019.60784375
transcript.pyannote[3002].end 15039.26721875
transcript.pyannote[3003].speaker SPEAKER_09
transcript.pyannote[3003].start 15040.48221875
transcript.pyannote[3003].end 15042.37221875
transcript.pyannote[3004].speaker SPEAKER_09
transcript.pyannote[3004].start 15042.79409375
transcript.pyannote[3004].end 15045.32534375
transcript.pyannote[3005].speaker SPEAKER_09
transcript.pyannote[3005].start 15045.76409375
transcript.pyannote[3005].end 15046.75971875
transcript.pyannote[3006].speaker SPEAKER_09
transcript.pyannote[3006].start 15046.99596875
transcript.pyannote[3006].end 15047.04659375
transcript.pyannote[3007].speaker SPEAKER_29
transcript.pyannote[3007].start 15047.04659375
transcript.pyannote[3007].end 15049.49346875
transcript.pyannote[3008].speaker SPEAKER_09
transcript.pyannote[3008].start 15047.06346875
transcript.pyannote[3008].end 15047.33346875
transcript.pyannote[3009].speaker SPEAKER_09
transcript.pyannote[3009].start 15048.51471875
transcript.pyannote[3009].end 15049.29096875
transcript.pyannote[3010].speaker SPEAKER_09
transcript.pyannote[3010].start 15049.78034375
transcript.pyannote[3010].end 15050.43846875
transcript.pyannote[3011].speaker SPEAKER_09
transcript.pyannote[3011].start 15050.74221875
transcript.pyannote[3011].end 15055.12971875
transcript.pyannote[3012].speaker SPEAKER_29
transcript.pyannote[3012].start 15053.67846875
transcript.pyannote[3012].end 15056.90159375
transcript.pyannote[3013].speaker SPEAKER_09
transcript.pyannote[3013].start 15055.73721875
transcript.pyannote[3013].end 15066.50346875
transcript.pyannote[3014].speaker SPEAKER_29
transcript.pyannote[3014].start 15060.41159375
transcript.pyannote[3014].end 15063.01034375
transcript.pyannote[3015].speaker SPEAKER_29
transcript.pyannote[3015].start 15066.43596875
transcript.pyannote[3015].end 15080.23971875
transcript.pyannote[3016].speaker SPEAKER_09
transcript.pyannote[3016].start 15066.63846875
transcript.pyannote[3016].end 15066.95909375
transcript.pyannote[3017].speaker SPEAKER_09
transcript.pyannote[3017].start 15067.88721875
transcript.pyannote[3017].end 15068.20784375
transcript.pyannote[3018].speaker SPEAKER_09
transcript.pyannote[3018].start 15069.38909375
transcript.pyannote[3018].end 15070.67159375
transcript.pyannote[3019].speaker SPEAKER_09
transcript.pyannote[3019].start 15071.12721875
transcript.pyannote[3019].end 15072.17346875
transcript.pyannote[3020].speaker SPEAKER_05
transcript.pyannote[3020].start 15072.17346875
transcript.pyannote[3020].end 15072.42659375
transcript.pyannote[3021].speaker SPEAKER_05
transcript.pyannote[3021].start 15075.17721875
transcript.pyannote[3021].end 15075.48096875
transcript.pyannote[3022].speaker SPEAKER_05
transcript.pyannote[3022].start 15080.20596875
transcript.pyannote[3022].end 15080.56034375
transcript.pyannote[3023].speaker SPEAKER_29
transcript.pyannote[3023].start 15080.50971875
transcript.pyannote[3023].end 15083.20971875
transcript.pyannote[3024].speaker SPEAKER_29
transcript.pyannote[3024].start 15083.42909375
transcript.pyannote[3024].end 15089.97659375
transcript.pyannote[3025].speaker SPEAKER_09
transcript.pyannote[3025].start 15089.62221875
transcript.pyannote[3025].end 15090.33096875
transcript.pyannote[3026].speaker SPEAKER_29
transcript.pyannote[3026].start 15090.90471875
transcript.pyannote[3026].end 15096.91221875
transcript.pyannote[3027].speaker SPEAKER_09
transcript.pyannote[3027].start 15091.02284375
transcript.pyannote[3027].end 15091.51221875
transcript.pyannote[3028].speaker SPEAKER_09
transcript.pyannote[3028].start 15094.76909375
transcript.pyannote[3028].end 15095.34284375
transcript.pyannote[3029].speaker SPEAKER_29
transcript.pyannote[3029].start 15097.16534375
transcript.pyannote[3029].end 15098.04284375
transcript.pyannote[3030].speaker SPEAKER_29
transcript.pyannote[3030].start 15098.43096875
transcript.pyannote[3030].end 15100.48971875
transcript.pyannote[3031].speaker SPEAKER_29
transcript.pyannote[3031].start 15100.84409375
transcript.pyannote[3031].end 15115.64346875
transcript.pyannote[3032].speaker SPEAKER_09
transcript.pyannote[3032].start 15117.43221875
transcript.pyannote[3032].end 15124.67159375
transcript.pyannote[3033].speaker SPEAKER_09
transcript.pyannote[3033].start 15125.04284375
transcript.pyannote[3033].end 15126.78096875
transcript.pyannote[3034].speaker SPEAKER_09
transcript.pyannote[3034].start 15127.05096875
transcript.pyannote[3034].end 15129.05909375
transcript.pyannote[3035].speaker SPEAKER_09
transcript.pyannote[3035].start 15129.31221875
transcript.pyannote[3035].end 15131.72534375
transcript.pyannote[3036].speaker SPEAKER_29
transcript.pyannote[3036].start 15131.72534375
transcript.pyannote[3036].end 15138.17159375
transcript.pyannote[3037].speaker SPEAKER_29
transcript.pyannote[3037].start 15138.54284375
transcript.pyannote[3037].end 15142.76159375
transcript.pyannote[3038].speaker SPEAKER_23
transcript.pyannote[3038].start 15141.73221875
transcript.pyannote[3038].end 15141.88409375
transcript.pyannote[3039].speaker SPEAKER_29
transcript.pyannote[3039].start 15143.08221875
transcript.pyannote[3039].end 15167.41596875
transcript.pyannote[3040].speaker SPEAKER_00
transcript.pyannote[3040].start 15162.47159375
transcript.pyannote[3040].end 15162.69096875
transcript.pyannote[3041].speaker SPEAKER_30
transcript.pyannote[3041].start 15162.69096875
transcript.pyannote[3041].end 15162.91034375
transcript.pyannote[3042].speaker SPEAKER_00
transcript.pyannote[3042].start 15162.91034375
transcript.pyannote[3042].end 15162.96096875
transcript.pyannote[3043].speaker SPEAKER_05
transcript.pyannote[3043].start 15164.04096875
transcript.pyannote[3043].end 15164.49659375
transcript.pyannote[3044].speaker SPEAKER_29
transcript.pyannote[3044].start 15167.60159375
transcript.pyannote[3044].end 15175.53284375
transcript.pyannote[3045].speaker SPEAKER_09
transcript.pyannote[3045].start 15175.80284375
transcript.pyannote[3045].end 15176.83221875
transcript.pyannote[3046].speaker SPEAKER_09
transcript.pyannote[3046].start 15176.96721875
transcript.pyannote[3046].end 15189.37034375
transcript.pyannote[3047].speaker SPEAKER_29
transcript.pyannote[3047].start 15189.77534375
transcript.pyannote[3047].end 15196.06971875
transcript.pyannote[3048].speaker SPEAKER_29
transcript.pyannote[3048].start 15196.82909375
transcript.pyannote[3048].end 15200.11971875
transcript.pyannote[3049].speaker SPEAKER_29
transcript.pyannote[3049].start 15200.25471875
transcript.pyannote[3049].end 15214.37909375
transcript.pyannote[3050].speaker SPEAKER_09
transcript.pyannote[3050].start 15208.55721875
transcript.pyannote[3050].end 15209.38409375
transcript.pyannote[3051].speaker SPEAKER_09
transcript.pyannote[3051].start 15215.27346875
transcript.pyannote[3051].end 15218.15909375
transcript.pyannote[3052].speaker SPEAKER_29
transcript.pyannote[3052].start 15218.37846875
transcript.pyannote[3052].end 15219.47534375
transcript.pyannote[3053].speaker SPEAKER_09
transcript.pyannote[3053].start 15220.20096875
transcript.pyannote[3053].end 15221.17971875
transcript.pyannote[3054].speaker SPEAKER_23
transcript.pyannote[3054].start 15221.34846875
transcript.pyannote[3054].end 15232.84034375
transcript.pyannote[3055].speaker SPEAKER_23
transcript.pyannote[3055].start 15233.21159375
transcript.pyannote[3055].end 15233.59971875
transcript.pyannote[3056].speaker SPEAKER_23
transcript.pyannote[3056].start 15233.93721875
transcript.pyannote[3056].end 15247.62284375
transcript.pyannote[3057].speaker SPEAKER_23
transcript.pyannote[3057].start 15247.99409375
transcript.pyannote[3057].end 15248.28096875
transcript.pyannote[3058].speaker SPEAKER_29
transcript.pyannote[3058].start 15248.28096875
transcript.pyannote[3058].end 15248.39909375
transcript.pyannote[3059].speaker SPEAKER_29
transcript.pyannote[3059].start 15248.77034375
transcript.pyannote[3059].end 15248.80409375
transcript.pyannote[3060].speaker SPEAKER_23
transcript.pyannote[3060].start 15248.80409375
transcript.pyannote[3060].end 15248.97284375
transcript.pyannote[3061].speaker SPEAKER_29
transcript.pyannote[3061].start 15248.97284375
transcript.pyannote[3061].end 15270.13409375
transcript.pyannote[3062].speaker SPEAKER_29
transcript.pyannote[3062].start 15270.62346875
transcript.pyannote[3062].end 15297.79221875
transcript.pyannote[3063].speaker SPEAKER_23
transcript.pyannote[3063].start 15297.94409375
transcript.pyannote[3063].end 15322.14284375
transcript.pyannote[3064].speaker SPEAKER_29
transcript.pyannote[3064].start 15306.02721875
transcript.pyannote[3064].end 15306.90471875
transcript.pyannote[3065].speaker SPEAKER_29
transcript.pyannote[3065].start 15322.14284375
transcript.pyannote[3065].end 15332.13284375
transcript.pyannote[3066].speaker SPEAKER_11
transcript.pyannote[3066].start 15332.60534375
transcript.pyannote[3066].end 15334.41096875
transcript.pyannote[3067].speaker SPEAKER_11
transcript.pyannote[3067].start 15334.68096875
transcript.pyannote[3067].end 15336.95909375
transcript.pyannote[3068].speaker SPEAKER_11
transcript.pyannote[3068].start 15337.21221875
transcript.pyannote[3068].end 15340.31721875
transcript.pyannote[3069].speaker SPEAKER_11
transcript.pyannote[3069].start 15340.80659375
transcript.pyannote[3069].end 15345.27846875
transcript.pyannote[3070].speaker SPEAKER_11
transcript.pyannote[3070].start 15345.64971875
transcript.pyannote[3070].end 15350.20596875
transcript.pyannote[3071].speaker SPEAKER_11
transcript.pyannote[3071].start 15350.56034375
transcript.pyannote[3071].end 15354.98159375
transcript.pyannote[3072].speaker SPEAKER_11
transcript.pyannote[3072].start 15355.33596875
transcript.pyannote[3072].end 15359.38596875
transcript.pyannote[3073].speaker SPEAKER_11
transcript.pyannote[3073].start 15359.80784375
transcript.pyannote[3073].end 15366.72659375
transcript.pyannote[3074].speaker SPEAKER_20
transcript.pyannote[3074].start 15382.08284375
transcript.pyannote[3074].end 15385.76159375
transcript.pyannote[3075].speaker SPEAKER_23
transcript.pyannote[3075].start 15390.48659375
transcript.pyannote[3075].end 15391.02659375
transcript.pyannote[3076].speaker SPEAKER_20
transcript.pyannote[3076].start 15391.46534375
transcript.pyannote[3076].end 15392.35971875
transcript.pyannote[3077].speaker SPEAKER_20
transcript.pyannote[3077].start 15393.16971875
transcript.pyannote[3077].end 15407.14221875
transcript.pyannote[3078].speaker SPEAKER_20
transcript.pyannote[3078].start 15407.76659375
transcript.pyannote[3078].end 15437.75346875
transcript.pyannote[3079].speaker SPEAKER_23
transcript.pyannote[3079].start 15438.36096875
transcript.pyannote[3079].end 15450.37596875
transcript.pyannote[3080].speaker SPEAKER_20
transcript.pyannote[3080].start 15450.66284375
transcript.pyannote[3080].end 15455.32034375
transcript.pyannote[3081].speaker SPEAKER_23
transcript.pyannote[3081].start 15455.32034375
transcript.pyannote[3081].end 15455.37096875
transcript.pyannote[3082].speaker SPEAKER_20
transcript.pyannote[3082].start 15455.37096875
transcript.pyannote[3082].end 15490.25159375
transcript.pyannote[3083].speaker SPEAKER_23
transcript.pyannote[3083].start 15455.60721875
transcript.pyannote[3083].end 15455.82659375
transcript.pyannote[3084].speaker SPEAKER_23
transcript.pyannote[3084].start 15490.57221875
transcript.pyannote[3084].end 15495.06096875
transcript.pyannote[3085].speaker SPEAKER_23
transcript.pyannote[3085].start 15495.22971875
transcript.pyannote[3085].end 15504.89909375
transcript.pyannote[3086].speaker SPEAKER_20
transcript.pyannote[3086].start 15504.79784375
transcript.pyannote[3086].end 15510.33284375
transcript.pyannote[3087].speaker SPEAKER_20
transcript.pyannote[3087].start 15510.51846875
transcript.pyannote[3087].end 15513.20159375
transcript.pyannote[3088].speaker SPEAKER_20
transcript.pyannote[3088].start 15513.67409375
transcript.pyannote[3088].end 15523.20846875
transcript.pyannote[3089].speaker SPEAKER_20
transcript.pyannote[3089].start 15523.54596875
transcript.pyannote[3089].end 15537.21471875
transcript.pyannote[3090].speaker SPEAKER_23
transcript.pyannote[3090].start 15538.26096875
transcript.pyannote[3090].end 15541.04534375
transcript.pyannote[3091].speaker SPEAKER_20
transcript.pyannote[3091].start 15541.04534375
transcript.pyannote[3091].end 15547.17096875
transcript.pyannote[3092].speaker SPEAKER_20
transcript.pyannote[3092].start 15547.55909375
transcript.pyannote[3092].end 15550.09034375
transcript.pyannote[3093].speaker SPEAKER_23
transcript.pyannote[3093].start 15552.33471875
transcript.pyannote[3093].end 15557.70096875
transcript.pyannote[3094].speaker SPEAKER_20
transcript.pyannote[3094].start 15557.70096875
transcript.pyannote[3094].end 15558.25784375
transcript.pyannote[3095].speaker SPEAKER_23
transcript.pyannote[3095].start 15558.15659375
transcript.pyannote[3095].end 15558.46034375
transcript.pyannote[3096].speaker SPEAKER_20
transcript.pyannote[3096].start 15558.39284375
transcript.pyannote[3096].end 15561.14346875
transcript.pyannote[3097].speaker SPEAKER_23
transcript.pyannote[3097].start 15560.60346875
transcript.pyannote[3097].end 15561.00846875
transcript.pyannote[3098].speaker SPEAKER_23
transcript.pyannote[3098].start 15561.14346875
transcript.pyannote[3098].end 15561.71721875
transcript.pyannote[3099].speaker SPEAKER_23
transcript.pyannote[3099].start 15564.28221875
transcript.pyannote[3099].end 15568.07909375
transcript.pyannote[3100].speaker SPEAKER_20
transcript.pyannote[3100].start 15567.85971875
transcript.pyannote[3100].end 15573.27659375
transcript.pyannote[3101].speaker SPEAKER_23
transcript.pyannote[3101].start 15574.22159375
transcript.pyannote[3101].end 15577.14096875
transcript.pyannote[3102].speaker SPEAKER_20
transcript.pyannote[3102].start 15577.29284375
transcript.pyannote[3102].end 15582.59159375
transcript.pyannote[3103].speaker SPEAKER_23
transcript.pyannote[3103].start 15578.37284375
transcript.pyannote[3103].end 15579.13221875
transcript.pyannote[3104].speaker SPEAKER_23
transcript.pyannote[3104].start 15579.53721875
transcript.pyannote[3104].end 15579.89159375
transcript.pyannote[3105].speaker SPEAKER_20
transcript.pyannote[3105].start 15583.13159375
transcript.pyannote[3105].end 15586.89471875
transcript.pyannote[3106].speaker SPEAKER_20
transcript.pyannote[3106].start 15587.31659375
transcript.pyannote[3106].end 15588.16034375
transcript.pyannote[3107].speaker SPEAKER_20
transcript.pyannote[3107].start 15589.74659375
transcript.pyannote[3107].end 15590.99534375
transcript.pyannote[3108].speaker SPEAKER_20
transcript.pyannote[3108].start 15591.38346875
transcript.pyannote[3108].end 15615.10971875
transcript.pyannote[3109].speaker SPEAKER_20
transcript.pyannote[3109].start 15615.27846875
transcript.pyannote[3109].end 15617.57346875
transcript.pyannote[3110].speaker SPEAKER_23
transcript.pyannote[3110].start 15619.86846875
transcript.pyannote[3110].end 15635.68034375
transcript.pyannote[3111].speaker SPEAKER_20
transcript.pyannote[3111].start 15636.00096875
transcript.pyannote[3111].end 15639.15659375
transcript.pyannote[3112].speaker SPEAKER_20
transcript.pyannote[3112].start 15639.24096875
transcript.pyannote[3112].end 15641.19846875
transcript.pyannote[3113].speaker SPEAKER_20
transcript.pyannote[3113].start 15641.43471875
transcript.pyannote[3113].end 15642.58221875
transcript.pyannote[3114].speaker SPEAKER_20
transcript.pyannote[3114].start 15642.80159375
transcript.pyannote[3114].end 15643.93221875
transcript.pyannote[3115].speaker SPEAKER_05
transcript.pyannote[3115].start 15643.81409375
transcript.pyannote[3115].end 15644.75909375
transcript.pyannote[3116].speaker SPEAKER_20
transcript.pyannote[3116].start 15644.30346875
transcript.pyannote[3116].end 15657.93846875
transcript.pyannote[3117].speaker SPEAKER_20
transcript.pyannote[3117].start 15658.29284375
transcript.pyannote[3117].end 15662.27534375
transcript.pyannote[3118].speaker SPEAKER_20
transcript.pyannote[3118].start 15662.73096875
transcript.pyannote[3118].end 15671.08409375
transcript.pyannote[3119].speaker SPEAKER_23
transcript.pyannote[3119].start 15671.25284375
transcript.pyannote[3119].end 15684.38159375
transcript.pyannote[3120].speaker SPEAKER_20
transcript.pyannote[3120].start 15681.78284375
transcript.pyannote[3120].end 15682.25534375
transcript.pyannote[3121].speaker SPEAKER_20
transcript.pyannote[3121].start 15683.41971875
transcript.pyannote[3121].end 15688.83659375
transcript.pyannote[3122].speaker SPEAKER_20
transcript.pyannote[3122].start 15690.47346875
transcript.pyannote[3122].end 15695.11409375
transcript.pyannote[3123].speaker SPEAKER_20
transcript.pyannote[3123].start 15695.55284375
transcript.pyannote[3123].end 15696.09284375
transcript.pyannote[3124].speaker SPEAKER_20
transcript.pyannote[3124].start 15696.59909375
transcript.pyannote[3124].end 15698.97846875
transcript.pyannote[3125].speaker SPEAKER_20
transcript.pyannote[3125].start 15699.16409375
transcript.pyannote[3125].end 15699.95721875
transcript.pyannote[3126].speaker SPEAKER_20
transcript.pyannote[3126].start 15700.78409375
transcript.pyannote[3126].end 15702.99471875
transcript.pyannote[3127].speaker SPEAKER_20
transcript.pyannote[3127].start 15703.39971875
transcript.pyannote[3127].end 15707.31471875
transcript.pyannote[3128].speaker SPEAKER_20
transcript.pyannote[3128].start 15707.75346875
transcript.pyannote[3128].end 15713.13659375
transcript.pyannote[3129].speaker SPEAKER_20
transcript.pyannote[3129].start 15713.62596875
transcript.pyannote[3129].end 15731.07471875
transcript.pyannote[3130].speaker SPEAKER_20
transcript.pyannote[3130].start 15731.95221875
transcript.pyannote[3130].end 15732.66096875
transcript.pyannote[3131].speaker SPEAKER_20
transcript.pyannote[3131].start 15733.47096875
transcript.pyannote[3131].end 15733.97721875
transcript.pyannote[3132].speaker SPEAKER_20
transcript.pyannote[3132].start 15734.98971875
transcript.pyannote[3132].end 15776.23221875
transcript.pyannote[3133].speaker SPEAKER_23
transcript.pyannote[3133].start 15776.23221875
transcript.pyannote[3133].end 15776.35034375
transcript.pyannote[3134].speaker SPEAKER_20
transcript.pyannote[3134].start 15776.35034375
transcript.pyannote[3134].end 15776.38409375
transcript.pyannote[3135].speaker SPEAKER_23
transcript.pyannote[3135].start 15776.55284375
transcript.pyannote[3135].end 15787.13346875
transcript.pyannote[3136].speaker SPEAKER_23
transcript.pyannote[3136].start 15787.30221875
transcript.pyannote[3136].end 15794.08596875
transcript.pyannote[3137].speaker SPEAKER_23
transcript.pyannote[3137].start 15794.92971875
transcript.pyannote[3137].end 15795.94221875
transcript.pyannote[3138].speaker SPEAKER_23
transcript.pyannote[3138].start 15796.22909375
transcript.pyannote[3138].end 15800.66721875
transcript.pyannote[3139].speaker SPEAKER_20
transcript.pyannote[3139].start 15801.25784375
transcript.pyannote[3139].end 15804.64971875
transcript.pyannote[3140].speaker SPEAKER_20
transcript.pyannote[3140].start 15805.40909375
transcript.pyannote[3140].end 15811.16346875
transcript.pyannote[3141].speaker SPEAKER_00
transcript.pyannote[3141].start 15810.21846875
transcript.pyannote[3141].end 15811.04534375
transcript.pyannote[3142].speaker SPEAKER_20
transcript.pyannote[3142].start 15811.63596875
transcript.pyannote[3142].end 15818.04846875
transcript.pyannote[3143].speaker SPEAKER_05
transcript.pyannote[3143].start 15812.10846875
transcript.pyannote[3143].end 15812.37846875
transcript.pyannote[3144].speaker SPEAKER_05
transcript.pyannote[3144].start 15814.52159375
transcript.pyannote[3144].end 15814.97721875
transcript.pyannote[3145].speaker SPEAKER_05
transcript.pyannote[3145].start 15816.79971875
transcript.pyannote[3145].end 15817.30596875
transcript.pyannote[3146].speaker SPEAKER_20
transcript.pyannote[3146].start 15818.72346875
transcript.pyannote[3146].end 15819.09471875
transcript.pyannote[3147].speaker SPEAKER_20
transcript.pyannote[3147].start 15819.70221875
transcript.pyannote[3147].end 15823.76909375
transcript.pyannote[3148].speaker SPEAKER_05
transcript.pyannote[3148].start 15822.19971875
transcript.pyannote[3148].end 15822.89159375
transcript.pyannote[3149].speaker SPEAKER_05
transcript.pyannote[3149].start 15823.33034375
transcript.pyannote[3149].end 15823.97159375
transcript.pyannote[3150].speaker SPEAKER_20
transcript.pyannote[3150].start 15824.24159375
transcript.pyannote[3150].end 15873.44909375
transcript.pyannote[3151].speaker SPEAKER_20
transcript.pyannote[3151].start 15873.76971875
transcript.pyannote[3151].end 15876.45284375
transcript.pyannote[3152].speaker SPEAKER_23
transcript.pyannote[3152].start 15876.57096875
transcript.pyannote[3152].end 15901.71471875
transcript.pyannote[3153].speaker SPEAKER_20
transcript.pyannote[3153].start 15876.65534375
transcript.pyannote[3153].end 15876.80721875
transcript.pyannote[3154].speaker SPEAKER_20
transcript.pyannote[3154].start 15902.06909375
transcript.pyannote[3154].end 15925.17096875
transcript.pyannote[3155].speaker SPEAKER_05
transcript.pyannote[3155].start 15924.76596875
transcript.pyannote[3155].end 15925.81221875
transcript.pyannote[3156].speaker SPEAKER_20
transcript.pyannote[3156].start 15925.25534375
transcript.pyannote[3156].end 15925.64346875
transcript.pyannote[3157].speaker SPEAKER_20
transcript.pyannote[3157].start 15925.67721875
transcript.pyannote[3157].end 15967.47659375
transcript.pyannote[3158].speaker SPEAKER_23
transcript.pyannote[3158].start 15968.15159375
transcript.pyannote[3158].end 15988.62096875
transcript.pyannote[3159].speaker SPEAKER_20
transcript.pyannote[3159].start 15988.31721875
transcript.pyannote[3159].end 15997.69971875
transcript.pyannote[3160].speaker SPEAKER_20
transcript.pyannote[3160].start 15998.08784375
transcript.pyannote[3160].end 16021.86471875
transcript.pyannote[3161].speaker SPEAKER_20
transcript.pyannote[3161].start 16022.72534375
transcript.pyannote[3161].end 16023.85596875
transcript.pyannote[3162].speaker SPEAKER_20
transcript.pyannote[3162].start 16024.24409375
transcript.pyannote[3162].end 16027.48409375
transcript.pyannote[3163].speaker SPEAKER_23
transcript.pyannote[3163].start 16028.91846875
transcript.pyannote[3163].end 16054.88909375
transcript.pyannote[3164].speaker SPEAKER_20
transcript.pyannote[3164].start 16052.29034375
transcript.pyannote[3164].end 16053.28596875
transcript.pyannote[3165].speaker SPEAKER_20
transcript.pyannote[3165].start 16054.88909375
transcript.pyannote[3165].end 16072.77659375
transcript.pyannote[3166].speaker SPEAKER_23
transcript.pyannote[3166].start 16055.74971875
transcript.pyannote[3166].end 16056.05346875
transcript.pyannote[3167].speaker SPEAKER_23
transcript.pyannote[3167].start 16073.99159375
transcript.pyannote[3167].end 16074.90284375
transcript.pyannote[3168].speaker SPEAKER_23
transcript.pyannote[3168].start 16075.39221875
transcript.pyannote[3168].end 16082.46284375
transcript.pyannote[3169].speaker SPEAKER_23
transcript.pyannote[3169].start 16082.74971875
transcript.pyannote[3169].end 16103.97846875
transcript.pyannote[3170].speaker SPEAKER_00
transcript.pyannote[3170].start 16085.24721875
transcript.pyannote[3170].end 16085.80409375
transcript.pyannote[3171].speaker SPEAKER_20
transcript.pyannote[3171].start 16104.19784375
transcript.pyannote[3171].end 16111.87596875
transcript.pyannote[3172].speaker SPEAKER_23
transcript.pyannote[3172].start 16106.40846875
transcript.pyannote[3172].end 16106.57721875
transcript.pyannote[3173].speaker SPEAKER_23
transcript.pyannote[3173].start 16106.99909375
transcript.pyannote[3173].end 16107.47159375
transcript.pyannote[3174].speaker SPEAKER_20
transcript.pyannote[3174].start 16112.16284375
transcript.pyannote[3174].end 16117.00596875
transcript.pyannote[3175].speaker SPEAKER_23
transcript.pyannote[3175].start 16117.96784375
transcript.pyannote[3175].end 16123.33409375
transcript.pyannote[3176].speaker SPEAKER_23
transcript.pyannote[3176].start 16123.45221875
transcript.pyannote[3176].end 16127.02971875
transcript.pyannote[3177].speaker SPEAKER_23
transcript.pyannote[3177].start 16127.04659375
transcript.pyannote[3177].end 16136.59784375
transcript.pyannote[3178].speaker SPEAKER_20
transcript.pyannote[3178].start 16136.95221875
transcript.pyannote[3178].end 16142.06534375
transcript.pyannote[3179].speaker SPEAKER_23
transcript.pyannote[3179].start 16141.60971875
transcript.pyannote[3179].end 16147.48221875
transcript.pyannote[3180].speaker SPEAKER_23
transcript.pyannote[3180].start 16147.93784375
transcript.pyannote[3180].end 16149.96284375
transcript.pyannote[3181].speaker SPEAKER_20
transcript.pyannote[3181].start 16150.70534375
transcript.pyannote[3181].end 16153.48971875
transcript.pyannote[3182].speaker SPEAKER_20
transcript.pyannote[3182].start 16154.06346875
transcript.pyannote[3182].end 16171.95096875
transcript.pyannote[3183].speaker SPEAKER_05
transcript.pyannote[3183].start 16171.95096875
transcript.pyannote[3183].end 16171.98471875
transcript.pyannote[3184].speaker SPEAKER_20
transcript.pyannote[3184].start 16172.08596875
transcript.pyannote[3184].end 16206.88221875
transcript.pyannote[3185].speaker SPEAKER_20
transcript.pyannote[3185].start 16207.91159375
transcript.pyannote[3185].end 16208.41784375
transcript.pyannote[3186].speaker SPEAKER_23
transcript.pyannote[3186].start 16209.10971875
transcript.pyannote[3186].end 16225.46159375
transcript.pyannote[3187].speaker SPEAKER_20
transcript.pyannote[3187].start 16225.78221875
transcript.pyannote[3187].end 16238.67471875
transcript.pyannote[3188].speaker SPEAKER_23
transcript.pyannote[3188].start 16238.91096875
transcript.pyannote[3188].end 16250.95971875
transcript.pyannote[3189].speaker SPEAKER_20
transcript.pyannote[3189].start 16250.95971875
transcript.pyannote[3189].end 16250.97659375
transcript.pyannote[3190].speaker SPEAKER_11
transcript.pyannote[3190].start 16250.97659375
transcript.pyannote[3190].end 16253.87909375
transcript.pyannote[3191].speaker SPEAKER_23
transcript.pyannote[3191].start 16251.22971875
transcript.pyannote[3191].end 16251.92159375
transcript.pyannote[3192].speaker SPEAKER_23
transcript.pyannote[3192].start 16253.22096875
transcript.pyannote[3192].end 16254.09846875
transcript.pyannote[3193].speaker SPEAKER_11
transcript.pyannote[3193].start 16253.99721875
transcript.pyannote[3193].end 16258.73909375
transcript.pyannote[3194].speaker SPEAKER_23
transcript.pyannote[3194].start 16255.90409375
transcript.pyannote[3194].end 16256.12346875
transcript.pyannote[3195].speaker SPEAKER_05
transcript.pyannote[3195].start 16256.12346875
transcript.pyannote[3195].end 16256.14034375
transcript.pyannote[3196].speaker SPEAKER_23
transcript.pyannote[3196].start 16256.14034375
transcript.pyannote[3196].end 16256.22471875
transcript.pyannote[3197].speaker SPEAKER_11
transcript.pyannote[3197].start 16259.14409375
transcript.pyannote[3197].end 16267.66596875
transcript.pyannote[3198].speaker SPEAKER_11
transcript.pyannote[3198].start 16267.83471875
transcript.pyannote[3198].end 16275.41159375
transcript.pyannote[3199].speaker SPEAKER_02
transcript.pyannote[3199].start 16282.14471875
transcript.pyannote[3199].end 16283.52846875
transcript.pyannote[3200].speaker SPEAKER_11
transcript.pyannote[3200].start 16284.03471875
transcript.pyannote[3200].end 16284.77721875
transcript.pyannote[3201].speaker SPEAKER_09
transcript.pyannote[3201].start 16289.33346875
transcript.pyannote[3201].end 16289.36721875
transcript.pyannote[3202].speaker SPEAKER_02
transcript.pyannote[3202].start 16289.36721875
transcript.pyannote[3202].end 16289.89034375
transcript.pyannote[3203].speaker SPEAKER_09
transcript.pyannote[3203].start 16289.89034375
transcript.pyannote[3203].end 16289.90721875
transcript.pyannote[3204].speaker SPEAKER_02
transcript.pyannote[3204].start 16289.90721875
transcript.pyannote[3204].end 16289.95784375
transcript.pyannote[3205].speaker SPEAKER_02
transcript.pyannote[3205].start 16289.99159375
transcript.pyannote[3205].end 16291.56096875
transcript.pyannote[3206].speaker SPEAKER_02
transcript.pyannote[3206].start 16292.21909375
transcript.pyannote[3206].end 16293.94034375
transcript.pyannote[3207].speaker SPEAKER_02
transcript.pyannote[3207].start 16294.83471875
transcript.pyannote[3207].end 16297.53471875
transcript.pyannote[3208].speaker SPEAKER_10
transcript.pyannote[3208].start 16297.83846875
transcript.pyannote[3208].end 16298.10846875
transcript.pyannote[3209].speaker SPEAKER_02
transcript.pyannote[3209].start 16298.69909375
transcript.pyannote[3209].end 16299.71159375
transcript.pyannote[3210].speaker SPEAKER_10
transcript.pyannote[3210].start 16299.07034375
transcript.pyannote[3210].end 16300.01534375
transcript.pyannote[3211].speaker SPEAKER_09
transcript.pyannote[3211].start 16300.01534375
transcript.pyannote[3211].end 16300.04909375
transcript.pyannote[3212].speaker SPEAKER_02
transcript.pyannote[3212].start 16300.26846875
transcript.pyannote[3212].end 16302.78284375
transcript.pyannote[3213].speaker SPEAKER_09
transcript.pyannote[3213].start 16302.44534375
transcript.pyannote[3213].end 16303.69409375
transcript.pyannote[3214].speaker SPEAKER_02
transcript.pyannote[3214].start 16302.85034375
transcript.pyannote[3214].end 16304.40284375
transcript.pyannote[3215].speaker SPEAKER_09
transcript.pyannote[3215].start 16304.47034375
transcript.pyannote[3215].end 16306.25909375
transcript.pyannote[3216].speaker SPEAKER_02
transcript.pyannote[3216].start 16305.33096875
transcript.pyannote[3216].end 16305.70221875
transcript.pyannote[3217].speaker SPEAKER_09
transcript.pyannote[3217].start 16306.66409375
transcript.pyannote[3217].end 16310.44409375
transcript.pyannote[3218].speaker SPEAKER_02
transcript.pyannote[3218].start 16310.32596875
transcript.pyannote[3218].end 16311.20346875
transcript.pyannote[3219].speaker SPEAKER_09
transcript.pyannote[3219].start 16311.20346875
transcript.pyannote[3219].end 16312.80659375
transcript.pyannote[3220].speaker SPEAKER_02
transcript.pyannote[3220].start 16312.40159375
transcript.pyannote[3220].end 16313.76846875
transcript.pyannote[3221].speaker SPEAKER_09
transcript.pyannote[3221].start 16313.46471875
transcript.pyannote[3221].end 16316.21534375
transcript.pyannote[3222].speaker SPEAKER_09
transcript.pyannote[3222].start 16316.73846875
transcript.pyannote[3222].end 16322.12159375
transcript.pyannote[3223].speaker SPEAKER_02
transcript.pyannote[3223].start 16320.29909375
transcript.pyannote[3223].end 16320.48471875
transcript.pyannote[3224].speaker SPEAKER_09
transcript.pyannote[3224].start 16322.67846875
transcript.pyannote[3224].end 16323.26909375
transcript.pyannote[3225].speaker SPEAKER_09
transcript.pyannote[3225].start 16323.33659375
transcript.pyannote[3225].end 16325.42909375
transcript.pyannote[3226].speaker SPEAKER_09
transcript.pyannote[3226].start 16325.81721875
transcript.pyannote[3226].end 16330.18784375
transcript.pyannote[3227].speaker SPEAKER_09
transcript.pyannote[3227].start 16330.62659375
transcript.pyannote[3227].end 16333.93409375
transcript.pyannote[3228].speaker SPEAKER_09
transcript.pyannote[3228].start 16334.22096875
transcript.pyannote[3228].end 16339.48596875
transcript.pyannote[3229].speaker SPEAKER_09
transcript.pyannote[3229].start 16339.97534375
transcript.pyannote[3229].end 16344.24471875
transcript.pyannote[3230].speaker SPEAKER_05
transcript.pyannote[3230].start 16344.24471875
transcript.pyannote[3230].end 16344.41346875
transcript.pyannote[3231].speaker SPEAKER_09
transcript.pyannote[3231].start 16344.41346875
transcript.pyannote[3231].end 16356.25971875
transcript.pyannote[3232].speaker SPEAKER_05
transcript.pyannote[3232].start 16345.79721875
transcript.pyannote[3232].end 16346.33721875
transcript.pyannote[3233].speaker SPEAKER_05
transcript.pyannote[3233].start 16349.13846875
transcript.pyannote[3233].end 16349.52659375
transcript.pyannote[3234].speaker SPEAKER_05
transcript.pyannote[3234].start 16350.01596875
transcript.pyannote[3234].end 16350.40409375
transcript.pyannote[3235].speaker SPEAKER_02
transcript.pyannote[3235].start 16356.44534375
transcript.pyannote[3235].end 16356.74909375
transcript.pyannote[3236].speaker SPEAKER_09
transcript.pyannote[3236].start 16356.91784375
transcript.pyannote[3236].end 16357.06971875
transcript.pyannote[3237].speaker SPEAKER_02
transcript.pyannote[3237].start 16357.44096875
transcript.pyannote[3237].end 16369.94534375
transcript.pyannote[3238].speaker SPEAKER_05
transcript.pyannote[3238].start 16363.70159375
transcript.pyannote[3238].end 16364.30909375
transcript.pyannote[3239].speaker SPEAKER_02
transcript.pyannote[3239].start 16370.60346875
transcript.pyannote[3239].end 16371.04221875
transcript.pyannote[3240].speaker SPEAKER_02
transcript.pyannote[3240].start 16372.20659375
transcript.pyannote[3240].end 16374.36659375
transcript.pyannote[3241].speaker SPEAKER_02
transcript.pyannote[3241].start 16374.56909375
transcript.pyannote[3241].end 16375.66596875
transcript.pyannote[3242].speaker SPEAKER_02
transcript.pyannote[3242].start 16375.90221875
transcript.pyannote[3242].end 16376.17221875
transcript.pyannote[3243].speaker SPEAKER_02
transcript.pyannote[3243].start 16376.50971875
transcript.pyannote[3243].end 16377.79221875
transcript.pyannote[3244].speaker SPEAKER_02
transcript.pyannote[3244].start 16378.24784375
transcript.pyannote[3244].end 16378.90596875
transcript.pyannote[3245].speaker SPEAKER_02
transcript.pyannote[3245].start 16379.14221875
transcript.pyannote[3245].end 16385.80784375
transcript.pyannote[3246].speaker SPEAKER_00
transcript.pyannote[3246].start 16384.79534375
transcript.pyannote[3246].end 16384.82909375
transcript.pyannote[3247].speaker SPEAKER_05
transcript.pyannote[3247].start 16384.82909375
transcript.pyannote[3247].end 16384.96409375
transcript.pyannote[3248].speaker SPEAKER_00
transcript.pyannote[3248].start 16384.96409375
transcript.pyannote[3248].end 16385.28471875
transcript.pyannote[3249].speaker SPEAKER_02
transcript.pyannote[3249].start 16386.31409375
transcript.pyannote[3249].end 16398.19409375
transcript.pyannote[3250].speaker SPEAKER_02
transcript.pyannote[3250].start 16398.27846875
transcript.pyannote[3250].end 16401.51846875
transcript.pyannote[3251].speaker SPEAKER_05
transcript.pyannote[3251].start 16401.51846875
transcript.pyannote[3251].end 16401.68721875
transcript.pyannote[3252].speaker SPEAKER_02
transcript.pyannote[3252].start 16401.68721875
transcript.pyannote[3252].end 16407.82971875
transcript.pyannote[3253].speaker SPEAKER_02
transcript.pyannote[3253].start 16407.96471875
transcript.pyannote[3253].end 16418.03909375
transcript.pyannote[3254].speaker SPEAKER_02
transcript.pyannote[3254].start 16418.57909375
transcript.pyannote[3254].end 16421.32971875
transcript.pyannote[3255].speaker SPEAKER_02
transcript.pyannote[3255].start 16421.95409375
transcript.pyannote[3255].end 16424.41784375
transcript.pyannote[3256].speaker SPEAKER_02
transcript.pyannote[3256].start 16424.63721875
transcript.pyannote[3256].end 16427.99534375
transcript.pyannote[3257].speaker SPEAKER_02
transcript.pyannote[3257].start 16429.27784375
transcript.pyannote[3257].end 16434.77909375
transcript.pyannote[3258].speaker SPEAKER_02
transcript.pyannote[3258].start 16434.93096875
transcript.pyannote[3258].end 16466.52096875
transcript.pyannote[3259].speaker SPEAKER_05
transcript.pyannote[3259].start 16460.14221875
transcript.pyannote[3259].end 16460.54721875
transcript.pyannote[3260].speaker SPEAKER_02
transcript.pyannote[3260].start 16466.65596875
transcript.pyannote[3260].end 16468.66409375
transcript.pyannote[3261].speaker SPEAKER_02
transcript.pyannote[3261].start 16469.03534375
transcript.pyannote[3261].end 16470.09846875
transcript.pyannote[3262].speaker SPEAKER_02
transcript.pyannote[3262].start 16470.57096875
transcript.pyannote[3262].end 16474.62096875
transcript.pyannote[3263].speaker SPEAKER_02
transcript.pyannote[3263].start 16475.07659375
transcript.pyannote[3263].end 16476.78096875
transcript.pyannote[3264].speaker SPEAKER_02
transcript.pyannote[3264].start 16477.77659375
transcript.pyannote[3264].end 16479.56534375
transcript.pyannote[3265].speaker SPEAKER_02
transcript.pyannote[3265].start 16479.83534375
transcript.pyannote[3265].end 16484.47596875
transcript.pyannote[3266].speaker SPEAKER_05
transcript.pyannote[3266].start 16484.64471875
transcript.pyannote[3266].end 16484.98221875
transcript.pyannote[3267].speaker SPEAKER_02
transcript.pyannote[3267].start 16484.91471875
transcript.pyannote[3267].end 16488.44159375
transcript.pyannote[3268].speaker SPEAKER_02
transcript.pyannote[3268].start 16489.09971875
transcript.pyannote[3268].end 16490.38221875
transcript.pyannote[3269].speaker SPEAKER_02
transcript.pyannote[3269].start 16490.70284375
transcript.pyannote[3269].end 16491.86721875
transcript.pyannote[3270].speaker SPEAKER_02
transcript.pyannote[3270].start 16492.66034375
transcript.pyannote[3270].end 16495.34346875
transcript.pyannote[3271].speaker SPEAKER_02
transcript.pyannote[3271].start 16495.74846875
transcript.pyannote[3271].end 16496.47409375
transcript.pyannote[3272].speaker SPEAKER_09
transcript.pyannote[3272].start 16496.87909375
transcript.pyannote[3272].end 16505.56971875
transcript.pyannote[3273].speaker SPEAKER_02
transcript.pyannote[3273].start 16504.62471875
transcript.pyannote[3273].end 16512.69096875
transcript.pyannote[3274].speaker SPEAKER_09
transcript.pyannote[3274].start 16508.50596875
transcript.pyannote[3274].end 16509.51846875
transcript.pyannote[3275].speaker SPEAKER_09
transcript.pyannote[3275].start 16510.58159375
transcript.pyannote[3275].end 16511.83034375
transcript.pyannote[3276].speaker SPEAKER_09
transcript.pyannote[3276].start 16512.37034375
transcript.pyannote[3276].end 16512.40409375
transcript.pyannote[3277].speaker SPEAKER_09
transcript.pyannote[3277].start 16512.52221875
transcript.pyannote[3277].end 16512.53909375
transcript.pyannote[3278].speaker SPEAKER_09
transcript.pyannote[3278].start 16512.55596875
transcript.pyannote[3278].end 16518.37784375
transcript.pyannote[3279].speaker SPEAKER_02
transcript.pyannote[3279].start 16517.21346875
transcript.pyannote[3279].end 16517.44971875
transcript.pyannote[3280].speaker SPEAKER_05
transcript.pyannote[3280].start 16518.41159375
transcript.pyannote[3280].end 16518.71534375
transcript.pyannote[3281].speaker SPEAKER_09
transcript.pyannote[3281].start 16518.64784375
transcript.pyannote[3281].end 16520.50409375
transcript.pyannote[3282].speaker SPEAKER_09
transcript.pyannote[3282].start 16520.63909375
transcript.pyannote[3282].end 16524.58784375
transcript.pyannote[3283].speaker SPEAKER_09
transcript.pyannote[3283].start 16524.92534375
transcript.pyannote[3283].end 16526.39346875
transcript.pyannote[3284].speaker SPEAKER_09
transcript.pyannote[3284].start 16526.66346875
transcript.pyannote[3284].end 16530.93284375
transcript.pyannote[3285].speaker SPEAKER_02
transcript.pyannote[3285].start 16530.44346875
transcript.pyannote[3285].end 16564.80096875
transcript.pyannote[3286].speaker SPEAKER_05
transcript.pyannote[3286].start 16548.49971875
transcript.pyannote[3286].end 16548.71909375
transcript.pyannote[3287].speaker SPEAKER_00
transcript.pyannote[3287].start 16548.71909375
transcript.pyannote[3287].end 16548.73596875
transcript.pyannote[3288].speaker SPEAKER_00
transcript.pyannote[3288].start 16548.76971875
transcript.pyannote[3288].end 16548.80346875
transcript.pyannote[3289].speaker SPEAKER_00
transcript.pyannote[3289].start 16549.03971875
transcript.pyannote[3289].end 16549.19159375
transcript.pyannote[3290].speaker SPEAKER_05
transcript.pyannote[3290].start 16549.19159375
transcript.pyannote[3290].end 16549.25909375
transcript.pyannote[3291].speaker SPEAKER_00
transcript.pyannote[3291].start 16549.25909375
transcript.pyannote[3291].end 16549.29284375
transcript.pyannote[3292].speaker SPEAKER_05
transcript.pyannote[3292].start 16549.29284375
transcript.pyannote[3292].end 16549.64721875
transcript.pyannote[3293].speaker SPEAKER_00
transcript.pyannote[3293].start 16549.64721875
transcript.pyannote[3293].end 16549.66409375
transcript.pyannote[3294].speaker SPEAKER_02
transcript.pyannote[3294].start 16565.44221875
transcript.pyannote[3294].end 16565.89784375
transcript.pyannote[3295].speaker SPEAKER_02
transcript.pyannote[3295].start 16566.79221875
transcript.pyannote[3295].end 16568.61471875
transcript.pyannote[3296].speaker SPEAKER_02
transcript.pyannote[3296].start 16569.01971875
transcript.pyannote[3296].end 16573.10346875
transcript.pyannote[3297].speaker SPEAKER_05
transcript.pyannote[3297].start 16571.56784375
transcript.pyannote[3297].end 16571.97284375
transcript.pyannote[3298].speaker SPEAKER_02
transcript.pyannote[3298].start 16573.87971875
transcript.pyannote[3298].end 16580.47784375
transcript.pyannote[3299].speaker SPEAKER_05
transcript.pyannote[3299].start 16579.31346875
transcript.pyannote[3299].end 16579.65096875
transcript.pyannote[3300].speaker SPEAKER_05
transcript.pyannote[3300].start 16580.74784375
transcript.pyannote[3300].end 16580.98409375
transcript.pyannote[3301].speaker SPEAKER_02
transcript.pyannote[3301].start 16581.54096875
transcript.pyannote[3301].end 16583.98784375
transcript.pyannote[3302].speaker SPEAKER_09
transcript.pyannote[3302].start 16586.19846875
transcript.pyannote[3302].end 16587.21096875
transcript.pyannote[3303].speaker SPEAKER_02
transcript.pyannote[3303].start 16587.56534375
transcript.pyannote[3303].end 16587.86909375
transcript.pyannote[3304].speaker SPEAKER_09
transcript.pyannote[3304].start 16588.32471875
transcript.pyannote[3304].end 16589.53971875
transcript.pyannote[3305].speaker SPEAKER_02
transcript.pyannote[3305].start 16590.06284375
transcript.pyannote[3305].end 16591.24409375
transcript.pyannote[3306].speaker SPEAKER_02
transcript.pyannote[3306].start 16591.44659375
transcript.pyannote[3306].end 16591.46346875
transcript.pyannote[3307].speaker SPEAKER_10
transcript.pyannote[3307].start 16591.46346875
transcript.pyannote[3307].end 16591.48034375
transcript.pyannote[3308].speaker SPEAKER_09
transcript.pyannote[3308].start 16591.48034375
transcript.pyannote[3308].end 16591.49721875
transcript.pyannote[3309].speaker SPEAKER_10
transcript.pyannote[3309].start 16591.49721875
transcript.pyannote[3309].end 16591.53096875
transcript.pyannote[3310].speaker SPEAKER_02
transcript.pyannote[3310].start 16591.53096875
transcript.pyannote[3310].end 16593.23534375
transcript.pyannote[3311].speaker SPEAKER_09
transcript.pyannote[3311].start 16591.64909375
transcript.pyannote[3311].end 16591.66596875
transcript.pyannote[3312].speaker SPEAKER_10
transcript.pyannote[3312].start 16591.66596875
transcript.pyannote[3312].end 16591.68284375
transcript.pyannote[3313].speaker SPEAKER_09
transcript.pyannote[3313].start 16593.38721875
transcript.pyannote[3313].end 16593.40409375
transcript.pyannote[3314].speaker SPEAKER_10
transcript.pyannote[3314].start 16593.40409375
transcript.pyannote[3314].end 16593.72471875
transcript.pyannote[3315].speaker SPEAKER_02
transcript.pyannote[3315].start 16594.01159375
transcript.pyannote[3315].end 16595.29409375
transcript.pyannote[3316].speaker SPEAKER_10
transcript.pyannote[3316].start 16595.41221875
transcript.pyannote[3316].end 16595.85096875
transcript.pyannote[3317].speaker SPEAKER_02
transcript.pyannote[3317].start 16595.90159375
transcript.pyannote[3317].end 16596.99846875
transcript.pyannote[3318].speaker SPEAKER_10
transcript.pyannote[3318].start 16599.46221875
transcript.pyannote[3318].end 16600.30596875
transcript.pyannote[3319].speaker SPEAKER_02
transcript.pyannote[3319].start 16599.91784375
transcript.pyannote[3319].end 16602.75284375
transcript.pyannote[3320].speaker SPEAKER_02
transcript.pyannote[3320].start 16602.85409375
transcript.pyannote[3320].end 16607.41034375
transcript.pyannote[3321].speaker SPEAKER_02
transcript.pyannote[3321].start 16608.22034375
transcript.pyannote[3321].end 16610.80221875
transcript.pyannote[3322].speaker SPEAKER_02
transcript.pyannote[3322].start 16610.93721875
transcript.pyannote[3322].end 16615.86471875
transcript.pyannote[3323].speaker SPEAKER_02
transcript.pyannote[3323].start 16616.28659375
transcript.pyannote[3323].end 16628.79096875
transcript.pyannote[3324].speaker SPEAKER_10
transcript.pyannote[3324].start 16628.72346875
transcript.pyannote[3324].end 16629.21284375
transcript.pyannote[3325].speaker SPEAKER_02
transcript.pyannote[3325].start 16629.22971875
transcript.pyannote[3325].end 16632.16596875
transcript.pyannote[3326].speaker SPEAKER_10
transcript.pyannote[3326].start 16630.27596875
transcript.pyannote[3326].end 16631.28846875
transcript.pyannote[3327].speaker SPEAKER_10
transcript.pyannote[3327].start 16631.82846875
transcript.pyannote[3327].end 16632.84096875
transcript.pyannote[3328].speaker SPEAKER_02
transcript.pyannote[3328].start 16633.00971875
transcript.pyannote[3328].end 16636.72221875
transcript.pyannote[3329].speaker SPEAKER_02
transcript.pyannote[3329].start 16637.02596875
transcript.pyannote[3329].end 16657.22534375
transcript.pyannote[3330].speaker SPEAKER_02
transcript.pyannote[3330].start 16657.37721875
transcript.pyannote[3330].end 16658.52471875
transcript.pyannote[3331].speaker SPEAKER_02
transcript.pyannote[3331].start 16659.36846875
transcript.pyannote[3331].end 16662.35534375
transcript.pyannote[3332].speaker SPEAKER_05
transcript.pyannote[3332].start 16662.42284375
transcript.pyannote[3332].end 16662.81096875
transcript.pyannote[3333].speaker SPEAKER_02
transcript.pyannote[3333].start 16662.81096875
transcript.pyannote[3333].end 16676.32784375
transcript.pyannote[3334].speaker SPEAKER_02
transcript.pyannote[3334].start 16676.39534375
transcript.pyannote[3334].end 16677.28971875
transcript.pyannote[3335].speaker SPEAKER_02
transcript.pyannote[3335].start 16677.84659375
transcript.pyannote[3335].end 16679.12909375
transcript.pyannote[3336].speaker SPEAKER_02
transcript.pyannote[3336].start 16679.51721875
transcript.pyannote[3336].end 16690.48596875
transcript.pyannote[3337].speaker SPEAKER_02
transcript.pyannote[3337].start 16692.59534375
transcript.pyannote[3337].end 16697.35409375
transcript.pyannote[3338].speaker SPEAKER_09
transcript.pyannote[3338].start 16697.52284375
transcript.pyannote[3338].end 16697.77596875
transcript.pyannote[3339].speaker SPEAKER_09
transcript.pyannote[3339].start 16697.97846875
transcript.pyannote[3339].end 16698.02909375
transcript.pyannote[3340].speaker SPEAKER_09
transcript.pyannote[3340].start 16699.49721875
transcript.pyannote[3340].end 16702.23096875
transcript.pyannote[3341].speaker SPEAKER_09
transcript.pyannote[3341].start 16703.02409375
transcript.pyannote[3341].end 16704.76221875
transcript.pyannote[3342].speaker SPEAKER_09
transcript.pyannote[3342].start 16705.09971875
transcript.pyannote[3342].end 16710.02721875
transcript.pyannote[3343].speaker SPEAKER_09
transcript.pyannote[3343].start 16710.34784375
transcript.pyannote[3343].end 16712.06909375
transcript.pyannote[3344].speaker SPEAKER_02
transcript.pyannote[3344].start 16712.06909375
transcript.pyannote[3344].end 16713.31784375
transcript.pyannote[3345].speaker SPEAKER_09
transcript.pyannote[3345].start 16712.81159375
transcript.pyannote[3345].end 16718.85284375
transcript.pyannote[3346].speaker SPEAKER_09
transcript.pyannote[3346].start 16719.29159375
transcript.pyannote[3346].end 16728.11721875
transcript.pyannote[3347].speaker SPEAKER_02
transcript.pyannote[3347].start 16727.79659375
transcript.pyannote[3347].end 16734.64784375
transcript.pyannote[3348].speaker SPEAKER_09
transcript.pyannote[3348].start 16729.97346875
transcript.pyannote[3348].end 16730.12534375
transcript.pyannote[3349].speaker SPEAKER_09
transcript.pyannote[3349].start 16730.44596875
transcript.pyannote[3349].end 16730.49659375
transcript.pyannote[3350].speaker SPEAKER_09
transcript.pyannote[3350].start 16733.43284375
transcript.pyannote[3350].end 16733.44971875
transcript.pyannote[3351].speaker SPEAKER_05
transcript.pyannote[3351].start 16733.44971875
transcript.pyannote[3351].end 16734.78284375
transcript.pyannote[3352].speaker SPEAKER_02
transcript.pyannote[3352].start 16734.68159375
transcript.pyannote[3352].end 16737.39846875
transcript.pyannote[3353].speaker SPEAKER_02
transcript.pyannote[3353].start 16738.59659375
transcript.pyannote[3353].end 16739.82846875
transcript.pyannote[3354].speaker SPEAKER_02
transcript.pyannote[3354].start 16740.40221875
transcript.pyannote[3354].end 16742.12346875
transcript.pyannote[3355].speaker SPEAKER_02
transcript.pyannote[3355].start 16742.42721875
transcript.pyannote[3355].end 16743.92909375
transcript.pyannote[3356].speaker SPEAKER_02
transcript.pyannote[3356].start 16744.45221875
transcript.pyannote[3356].end 16754.18909375
transcript.pyannote[3357].speaker SPEAKER_02
transcript.pyannote[3357].start 16755.62346875
transcript.pyannote[3357].end 16757.44596875
transcript.pyannote[3358].speaker SPEAKER_02
transcript.pyannote[3358].start 16758.10409375
transcript.pyannote[3358].end 16759.77471875
transcript.pyannote[3359].speaker SPEAKER_02
transcript.pyannote[3359].start 16760.02784375
transcript.pyannote[3359].end 16765.22534375
transcript.pyannote[3360].speaker SPEAKER_02
transcript.pyannote[3360].start 16765.57971875
transcript.pyannote[3360].end 16766.35596875
transcript.pyannote[3361].speaker SPEAKER_02
transcript.pyannote[3361].start 16767.36846875
transcript.pyannote[3361].end 16768.87034375
transcript.pyannote[3362].speaker SPEAKER_02
transcript.pyannote[3362].start 16769.34284375
transcript.pyannote[3362].end 16785.34034375
transcript.pyannote[3363].speaker SPEAKER_02
transcript.pyannote[3363].start 16785.76221875
transcript.pyannote[3363].end 16790.28471875
transcript.pyannote[3364].speaker SPEAKER_02
transcript.pyannote[3364].start 16790.70659375
transcript.pyannote[3364].end 16792.64721875
transcript.pyannote[3365].speaker SPEAKER_05
transcript.pyannote[3365].start 16792.84971875
transcript.pyannote[3365].end 16793.10284375
transcript.pyannote[3366].speaker SPEAKER_02
transcript.pyannote[3366].start 16793.52471875
transcript.pyannote[3366].end 16796.98409375
transcript.pyannote[3367].speaker SPEAKER_05
transcript.pyannote[3367].start 16794.25034375
transcript.pyannote[3367].end 16794.53721875
transcript.pyannote[3368].speaker SPEAKER_02
transcript.pyannote[3368].start 16797.33846875
transcript.pyannote[3368].end 16801.72596875
transcript.pyannote[3369].speaker SPEAKER_02
transcript.pyannote[3369].start 16802.01284375
transcript.pyannote[3369].end 16807.58159375
transcript.pyannote[3370].speaker SPEAKER_02
transcript.pyannote[3370].start 16807.90221875
transcript.pyannote[3370].end 16810.02846875
transcript.pyannote[3371].speaker SPEAKER_02
transcript.pyannote[3371].start 16810.56846875
transcript.pyannote[3371].end 16811.27721875
transcript.pyannote[3372].speaker SPEAKER_02
transcript.pyannote[3372].start 16811.49659375
transcript.pyannote[3372].end 16816.15409375
transcript.pyannote[3373].speaker SPEAKER_02
transcript.pyannote[3373].start 16817.48721875
transcript.pyannote[3373].end 16818.97221875
transcript.pyannote[3374].speaker SPEAKER_02
transcript.pyannote[3374].start 16819.24221875
transcript.pyannote[3374].end 16820.25471875
transcript.pyannote[3375].speaker SPEAKER_02
transcript.pyannote[3375].start 16820.87909375
transcript.pyannote[3375].end 16822.09409375
transcript.pyannote[3376].speaker SPEAKER_02
transcript.pyannote[3376].start 16823.32596875
transcript.pyannote[3376].end 16830.46409375
transcript.pyannote[3377].speaker SPEAKER_09
transcript.pyannote[3377].start 16826.75159375
transcript.pyannote[3377].end 16826.78534375
transcript.pyannote[3378].speaker SPEAKER_09
transcript.pyannote[3378].start 16829.99159375
transcript.pyannote[3378].end 16832.80971875
transcript.pyannote[3379].speaker SPEAKER_02
transcript.pyannote[3379].start 16832.59034375
transcript.pyannote[3379].end 16839.28971875
transcript.pyannote[3380].speaker SPEAKER_02
transcript.pyannote[3380].start 16839.49221875
transcript.pyannote[3380].end 16848.63846875
transcript.pyannote[3381].speaker SPEAKER_02
transcript.pyannote[3381].start 16848.77346875
transcript.pyannote[3381].end 16856.70471875
transcript.pyannote[3382].speaker SPEAKER_02
transcript.pyannote[3382].start 16857.12659375
transcript.pyannote[3382].end 16859.23596875
transcript.pyannote[3383].speaker SPEAKER_02
transcript.pyannote[3383].start 16860.60284375
transcript.pyannote[3383].end 16861.49721875
transcript.pyannote[3384].speaker SPEAKER_02
transcript.pyannote[3384].start 16865.68221875
transcript.pyannote[3384].end 16877.15721875
transcript.pyannote[3385].speaker SPEAKER_02
transcript.pyannote[3385].start 16878.16971875
transcript.pyannote[3385].end 16879.73909375
transcript.pyannote[3386].speaker SPEAKER_02
transcript.pyannote[3386].start 16880.16096875
transcript.pyannote[3386].end 16884.00846875
transcript.pyannote[3387].speaker SPEAKER_02
transcript.pyannote[3387].start 16885.29096875
transcript.pyannote[3387].end 16885.54409375
transcript.pyannote[3388].speaker SPEAKER_02
transcript.pyannote[3388].start 16886.16846875
transcript.pyannote[3388].end 16886.70846875
transcript.pyannote[3389].speaker SPEAKER_02
transcript.pyannote[3389].start 16887.29909375
transcript.pyannote[3389].end 16887.82221875
transcript.pyannote[3390].speaker SPEAKER_02
transcript.pyannote[3390].start 16888.61534375
transcript.pyannote[3390].end 16889.25659375
transcript.pyannote[3391].speaker SPEAKER_02
transcript.pyannote[3391].start 16890.64034375
transcript.pyannote[3391].end 16899.80346875
transcript.pyannote[3392].speaker SPEAKER_02
transcript.pyannote[3392].start 16900.22534375
transcript.pyannote[3392].end 16901.17034375
transcript.pyannote[3393].speaker SPEAKER_02
transcript.pyannote[3393].start 16901.44034375
transcript.pyannote[3393].end 16904.71409375
transcript.pyannote[3394].speaker SPEAKER_02
transcript.pyannote[3394].start 16906.13159375
transcript.pyannote[3394].end 16906.92471875
transcript.pyannote[3395].speaker SPEAKER_02
transcript.pyannote[3395].start 16907.92034375
transcript.pyannote[3395].end 16923.22596875
transcript.pyannote[3396].speaker SPEAKER_02
transcript.pyannote[3396].start 16924.62659375
transcript.pyannote[3396].end 16942.98659375
transcript.pyannote[3397].speaker SPEAKER_02
transcript.pyannote[3397].start 16944.26909375
transcript.pyannote[3397].end 16945.63596875
transcript.pyannote[3398].speaker SPEAKER_02
transcript.pyannote[3398].start 16946.05784375
transcript.pyannote[3398].end 16951.62659375
transcript.pyannote[3399].speaker SPEAKER_02
transcript.pyannote[3399].start 16952.36909375
transcript.pyannote[3399].end 16955.96346875
transcript.pyannote[3400].speaker SPEAKER_02
transcript.pyannote[3400].start 16956.95909375
transcript.pyannote[3400].end 16959.08534375
transcript.pyannote[3401].speaker SPEAKER_02
transcript.pyannote[3401].start 16960.68846875
transcript.pyannote[3401].end 16975.63971875
transcript.pyannote[3402].speaker SPEAKER_10
transcript.pyannote[3402].start 16976.88846875
transcript.pyannote[3402].end 16977.02346875
transcript.pyannote[3403].speaker SPEAKER_02
transcript.pyannote[3403].start 16977.02346875
transcript.pyannote[3403].end 16982.60909375
transcript.pyannote[3404].speaker SPEAKER_11
transcript.pyannote[3404].start 16982.60909375
transcript.pyannote[3404].end 16982.92971875
transcript.pyannote[3405].speaker SPEAKER_02
transcript.pyannote[3405].start 16983.14909375
transcript.pyannote[3405].end 16983.55409375
transcript.pyannote[3406].speaker SPEAKER_02
transcript.pyannote[3406].start 16983.77346875
transcript.pyannote[3406].end 16984.71846875
transcript.pyannote[3407].speaker SPEAKER_11
transcript.pyannote[3407].start 16984.02659375
transcript.pyannote[3407].end 16984.46534375
transcript.pyannote[3408].speaker SPEAKER_02
transcript.pyannote[3408].start 16985.17409375
transcript.pyannote[3408].end 16985.44409375
transcript.pyannote[3409].speaker SPEAKER_02
transcript.pyannote[3409].start 16985.56221875
transcript.pyannote[3409].end 16985.59596875
transcript.pyannote[3410].speaker SPEAKER_11
transcript.pyannote[3410].start 16985.59596875
transcript.pyannote[3410].end 16985.61284375
transcript.pyannote[3411].speaker SPEAKER_02
transcript.pyannote[3411].start 16985.61284375
transcript.pyannote[3411].end 16986.15284375
transcript.pyannote[3412].speaker SPEAKER_11
transcript.pyannote[3412].start 16985.66346875
transcript.pyannote[3412].end 16987.72221875
transcript.pyannote[3413].speaker SPEAKER_11
transcript.pyannote[3413].start 16988.09346875
transcript.pyannote[3413].end 16993.03784375
transcript.pyannote[3414].speaker SPEAKER_11
transcript.pyannote[3414].start 16993.24034375
transcript.pyannote[3414].end 16995.29909375
transcript.pyannote[3415].speaker SPEAKER_28
transcript.pyannote[3415].start 17007.76971875
transcript.pyannote[3415].end 17010.19971875
transcript.pyannote[3416].speaker SPEAKER_11
transcript.pyannote[3416].start 17010.80721875
transcript.pyannote[3416].end 17011.68471875
transcript.pyannote[3417].speaker SPEAKER_02
transcript.pyannote[3417].start 17014.97534375
transcript.pyannote[3417].end 17016.56159375
transcript.pyannote[3418].speaker SPEAKER_11
transcript.pyannote[3418].start 17017.43909375
transcript.pyannote[3418].end 17017.48971875
transcript.pyannote[3419].speaker SPEAKER_09
transcript.pyannote[3419].start 17017.48971875
transcript.pyannote[3419].end 17018.82284375
transcript.pyannote[3420].speaker SPEAKER_09
transcript.pyannote[3420].start 17018.89034375
transcript.pyannote[3420].end 17018.95784375
transcript.pyannote[3421].speaker SPEAKER_28
transcript.pyannote[3421].start 17018.95784375
transcript.pyannote[3421].end 17019.46409375
transcript.pyannote[3422].speaker SPEAKER_09
transcript.pyannote[3422].start 17019.46409375
transcript.pyannote[3422].end 17019.49784375
transcript.pyannote[3423].speaker SPEAKER_28
transcript.pyannote[3423].start 17023.36221875
transcript.pyannote[3423].end 17032.05284375
transcript.pyannote[3424].speaker SPEAKER_28
transcript.pyannote[3424].start 17032.64346875
transcript.pyannote[3424].end 17034.41534375
transcript.pyannote[3425].speaker SPEAKER_05
transcript.pyannote[3425].start 17033.77409375
transcript.pyannote[3425].end 17034.12846875
transcript.pyannote[3426].speaker SPEAKER_28
transcript.pyannote[3426].start 17034.58409375
transcript.pyannote[3426].end 17039.07284375
transcript.pyannote[3427].speaker SPEAKER_05
transcript.pyannote[3427].start 17039.44409375
transcript.pyannote[3427].end 17039.74784375
transcript.pyannote[3428].speaker SPEAKER_28
transcript.pyannote[3428].start 17040.05159375
transcript.pyannote[3428].end 17041.03034375
transcript.pyannote[3429].speaker SPEAKER_28
transcript.pyannote[3429].start 17042.54909375
transcript.pyannote[3429].end 17051.67846875
transcript.pyannote[3430].speaker SPEAKER_28
transcript.pyannote[3430].start 17052.74159375
transcript.pyannote[3430].end 17062.83284375
transcript.pyannote[3431].speaker SPEAKER_05
transcript.pyannote[3431].start 17063.20409375
transcript.pyannote[3431].end 17063.45721875
transcript.pyannote[3432].speaker SPEAKER_28
transcript.pyannote[3432].start 17064.01409375
transcript.pyannote[3432].end 17064.80721875
transcript.pyannote[3433].speaker SPEAKER_28
transcript.pyannote[3433].start 17065.41471875
transcript.pyannote[3433].end 17070.07221875
transcript.pyannote[3434].speaker SPEAKER_28
transcript.pyannote[3434].start 17070.76409375
transcript.pyannote[3434].end 17072.18159375
transcript.pyannote[3435].speaker SPEAKER_28
transcript.pyannote[3435].start 17072.72159375
transcript.pyannote[3435].end 17073.75096875
transcript.pyannote[3436].speaker SPEAKER_05
transcript.pyannote[3436].start 17074.18971875
transcript.pyannote[3436].end 17074.37534375
transcript.pyannote[3437].speaker SPEAKER_28
transcript.pyannote[3437].start 17074.47659375
transcript.pyannote[3437].end 17074.91534375
transcript.pyannote[3438].speaker SPEAKER_28
transcript.pyannote[3438].start 17075.30346875
transcript.pyannote[3438].end 17076.55221875
transcript.pyannote[3439].speaker SPEAKER_28
transcript.pyannote[3439].start 17077.00784375
transcript.pyannote[3439].end 17079.06659375
transcript.pyannote[3440].speaker SPEAKER_28
transcript.pyannote[3440].start 17080.18034375
transcript.pyannote[3440].end 17083.65659375
transcript.pyannote[3441].speaker SPEAKER_09
transcript.pyannote[3441].start 17084.01096875
transcript.pyannote[3441].end 17088.46596875
transcript.pyannote[3442].speaker SPEAKER_09
transcript.pyannote[3442].start 17089.22534375
transcript.pyannote[3442].end 17104.21034375
transcript.pyannote[3443].speaker SPEAKER_28
transcript.pyannote[3443].start 17096.05971875
transcript.pyannote[3443].end 17096.71784375
transcript.pyannote[3444].speaker SPEAKER_09
transcript.pyannote[3444].start 17104.46346875
transcript.pyannote[3444].end 17104.86846875
transcript.pyannote[3445].speaker SPEAKER_09
transcript.pyannote[3445].start 17105.17221875
transcript.pyannote[3445].end 17118.57096875
transcript.pyannote[3446].speaker SPEAKER_09
transcript.pyannote[3446].start 17118.75659375
transcript.pyannote[3446].end 17121.10221875
transcript.pyannote[3447].speaker SPEAKER_09
transcript.pyannote[3447].start 17121.37221875
transcript.pyannote[3447].end 17123.93721875
transcript.pyannote[3448].speaker SPEAKER_28
transcript.pyannote[3448].start 17123.93721875
transcript.pyannote[3448].end 17130.19784375
transcript.pyannote[3449].speaker SPEAKER_28
transcript.pyannote[3449].start 17130.29909375
transcript.pyannote[3449].end 17130.33284375
transcript.pyannote[3450].speaker SPEAKER_05
transcript.pyannote[3450].start 17130.33284375
transcript.pyannote[3450].end 17130.73784375
transcript.pyannote[3451].speaker SPEAKER_28
transcript.pyannote[3451].start 17130.55221875
transcript.pyannote[3451].end 17135.58096875
transcript.pyannote[3452].speaker SPEAKER_28
transcript.pyannote[3452].start 17136.10409375
transcript.pyannote[3452].end 17136.59346875
transcript.pyannote[3453].speaker SPEAKER_28
transcript.pyannote[3453].start 17137.08284375
transcript.pyannote[3453].end 17137.70721875
transcript.pyannote[3454].speaker SPEAKER_28
transcript.pyannote[3454].start 17137.87596875
transcript.pyannote[3454].end 17145.79034375
transcript.pyannote[3455].speaker SPEAKER_05
transcript.pyannote[3455].start 17145.38534375
transcript.pyannote[3455].end 17146.02659375
transcript.pyannote[3456].speaker SPEAKER_28
transcript.pyannote[3456].start 17145.87471875
transcript.pyannote[3456].end 17145.95909375
transcript.pyannote[3457].speaker SPEAKER_28
transcript.pyannote[3457].start 17146.02659375
transcript.pyannote[3457].end 17151.02159375
transcript.pyannote[3458].speaker SPEAKER_05
transcript.pyannote[3458].start 17146.11096875
transcript.pyannote[3458].end 17146.21221875
transcript.pyannote[3459].speaker SPEAKER_05
transcript.pyannote[3459].start 17147.19096875
transcript.pyannote[3459].end 17147.73096875
transcript.pyannote[3460].speaker SPEAKER_05
transcript.pyannote[3460].start 17147.86596875
transcript.pyannote[3460].end 17148.01784375
transcript.pyannote[3461].speaker SPEAKER_28
transcript.pyannote[3461].start 17151.86534375
transcript.pyannote[3461].end 17158.02471875
transcript.pyannote[3462].speaker SPEAKER_10
transcript.pyannote[3462].start 17157.51846875
transcript.pyannote[3462].end 17158.58159375
transcript.pyannote[3463].speaker SPEAKER_28
transcript.pyannote[3463].start 17159.03721875
transcript.pyannote[3463].end 17166.68159375
transcript.pyannote[3464].speaker SPEAKER_05
transcript.pyannote[3464].start 17166.73221875
transcript.pyannote[3464].end 17167.44096875
transcript.pyannote[3465].speaker SPEAKER_28
transcript.pyannote[3465].start 17167.35659375
transcript.pyannote[3465].end 17173.39784375
transcript.pyannote[3466].speaker SPEAKER_05
transcript.pyannote[3466].start 17171.69346875
transcript.pyannote[3466].end 17171.74409375
transcript.pyannote[3467].speaker SPEAKER_09
transcript.pyannote[3467].start 17171.74409375
transcript.pyannote[3467].end 17173.51596875
transcript.pyannote[3468].speaker SPEAKER_28
transcript.pyannote[3468].start 17173.51596875
transcript.pyannote[3468].end 17173.95471875
transcript.pyannote[3469].speaker SPEAKER_09
transcript.pyannote[3469].start 17173.53284375
transcript.pyannote[3469].end 17173.61721875
transcript.pyannote[3470].speaker SPEAKER_09
transcript.pyannote[3470].start 17173.73534375
transcript.pyannote[3470].end 17177.70096875
transcript.pyannote[3471].speaker SPEAKER_28
transcript.pyannote[3471].start 17177.27909375
transcript.pyannote[3471].end 17183.86034375
transcript.pyannote[3472].speaker SPEAKER_09
transcript.pyannote[3472].start 17178.62909375
transcript.pyannote[3472].end 17179.08471875
transcript.pyannote[3473].speaker SPEAKER_09
transcript.pyannote[3473].start 17179.74284375
transcript.pyannote[3473].end 17180.31659375
transcript.pyannote[3474].speaker SPEAKER_09
transcript.pyannote[3474].start 17181.70034375
transcript.pyannote[3474].end 17182.18971875
transcript.pyannote[3475].speaker SPEAKER_09
transcript.pyannote[3475].start 17182.54409375
transcript.pyannote[3475].end 17187.91034375
transcript.pyannote[3476].speaker SPEAKER_28
transcript.pyannote[3476].start 17185.71659375
transcript.pyannote[3476].end 17189.20971875
transcript.pyannote[3477].speaker SPEAKER_32
transcript.pyannote[3477].start 17189.20971875
transcript.pyannote[3477].end 17189.22659375
transcript.pyannote[3478].speaker SPEAKER_09
transcript.pyannote[3478].start 17189.22659375
transcript.pyannote[3478].end 17189.53034375
transcript.pyannote[3479].speaker SPEAKER_32
transcript.pyannote[3479].start 17189.53034375
transcript.pyannote[3479].end 17189.56409375
transcript.pyannote[3480].speaker SPEAKER_28
transcript.pyannote[3480].start 17191.53846875
transcript.pyannote[3480].end 17194.39034375
transcript.pyannote[3481].speaker SPEAKER_28
transcript.pyannote[3481].start 17194.71096875
transcript.pyannote[3481].end 17196.60096875
transcript.pyannote[3482].speaker SPEAKER_28
transcript.pyannote[3482].start 17198.23784375
transcript.pyannote[3482].end 17199.41909375
transcript.pyannote[3483].speaker SPEAKER_28
transcript.pyannote[3483].start 17200.21221875
transcript.pyannote[3483].end 17201.95034375
transcript.pyannote[3484].speaker SPEAKER_28
transcript.pyannote[3484].start 17203.26659375
transcript.pyannote[3484].end 17206.06784375
transcript.pyannote[3485].speaker SPEAKER_28
transcript.pyannote[3485].start 17206.87784375
transcript.pyannote[3485].end 17207.45159375
transcript.pyannote[3486].speaker SPEAKER_28
transcript.pyannote[3486].start 17207.89034375
transcript.pyannote[3486].end 17208.51471875
transcript.pyannote[3487].speaker SPEAKER_28
transcript.pyannote[3487].start 17209.00409375
transcript.pyannote[3487].end 17209.89846875
transcript.pyannote[3488].speaker SPEAKER_28
transcript.pyannote[3488].start 17210.37096875
transcript.pyannote[3488].end 17214.37034375
transcript.pyannote[3489].speaker SPEAKER_28
transcript.pyannote[3489].start 17214.40409375
transcript.pyannote[3489].end 17216.73284375
transcript.pyannote[3490].speaker SPEAKER_05
transcript.pyannote[3490].start 17216.96909375
transcript.pyannote[3490].end 17217.35721875
transcript.pyannote[3491].speaker SPEAKER_28
transcript.pyannote[3491].start 17217.81284375
transcript.pyannote[3491].end 17221.79534375
transcript.pyannote[3492].speaker SPEAKER_28
transcript.pyannote[3492].start 17222.53784375
transcript.pyannote[3492].end 17225.15346875
transcript.pyannote[3493].speaker SPEAKER_28
transcript.pyannote[3493].start 17225.45721875
transcript.pyannote[3493].end 17226.62159375
transcript.pyannote[3494].speaker SPEAKER_28
transcript.pyannote[3494].start 17227.49909375
transcript.pyannote[3494].end 17227.85346875
transcript.pyannote[3495].speaker SPEAKER_28
transcript.pyannote[3495].start 17228.34284375
transcript.pyannote[3495].end 17231.31284375
transcript.pyannote[3496].speaker SPEAKER_28
transcript.pyannote[3496].start 17231.66721875
transcript.pyannote[3496].end 17232.32534375
transcript.pyannote[3497].speaker SPEAKER_28
transcript.pyannote[3497].start 17236.10534375
transcript.pyannote[3497].end 17238.24846875
transcript.pyannote[3498].speaker SPEAKER_05
transcript.pyannote[3498].start 17238.58596875
transcript.pyannote[3498].end 17238.72096875
transcript.pyannote[3499].speaker SPEAKER_28
transcript.pyannote[3499].start 17239.39596875
transcript.pyannote[3499].end 17240.96534375
transcript.pyannote[3500].speaker SPEAKER_05
transcript.pyannote[3500].start 17240.84721875
transcript.pyannote[3500].end 17241.35346875
transcript.pyannote[3501].speaker SPEAKER_28
transcript.pyannote[3501].start 17243.91846875
transcript.pyannote[3501].end 17246.19659375
transcript.pyannote[3502].speaker SPEAKER_28
transcript.pyannote[3502].start 17246.71971875
transcript.pyannote[3502].end 17248.44096875
transcript.pyannote[3503].speaker SPEAKER_28
transcript.pyannote[3503].start 17249.16659375
transcript.pyannote[3503].end 17253.35159375
transcript.pyannote[3504].speaker SPEAKER_09
transcript.pyannote[3504].start 17255.02221875
transcript.pyannote[3504].end 17263.34159375
transcript.pyannote[3505].speaker SPEAKER_28
transcript.pyannote[3505].start 17256.06846875
transcript.pyannote[3505].end 17256.55784375
transcript.pyannote[3506].speaker SPEAKER_28
transcript.pyannote[3506].start 17257.60409375
transcript.pyannote[3506].end 17258.11034375
transcript.pyannote[3507].speaker SPEAKER_23
transcript.pyannote[3507].start 17258.11034375
transcript.pyannote[3507].end 17258.12721875
transcript.pyannote[3508].speaker SPEAKER_23
transcript.pyannote[3508].start 17260.67534375
transcript.pyannote[3508].end 17261.63721875
transcript.pyannote[3509].speaker SPEAKER_23
transcript.pyannote[3509].start 17261.82284375
transcript.pyannote[3509].end 17262.41346875
transcript.pyannote[3510].speaker SPEAKER_23
transcript.pyannote[3510].start 17262.97034375
transcript.pyannote[3510].end 17264.89409375
transcript.pyannote[3511].speaker SPEAKER_09
transcript.pyannote[3511].start 17264.16846875
transcript.pyannote[3511].end 17267.29034375
transcript.pyannote[3512].speaker SPEAKER_09
transcript.pyannote[3512].start 17269.53471875
transcript.pyannote[3512].end 17269.97346875
transcript.pyannote[3513].speaker SPEAKER_28
transcript.pyannote[3513].start 17269.88909375
transcript.pyannote[3513].end 17272.63971875
transcript.pyannote[3514].speaker SPEAKER_09
transcript.pyannote[3514].start 17270.29409375
transcript.pyannote[3514].end 17270.41221875
transcript.pyannote[3515].speaker SPEAKER_09
transcript.pyannote[3515].start 17270.64846875
transcript.pyannote[3515].end 17271.20534375
transcript.pyannote[3516].speaker SPEAKER_09
transcript.pyannote[3516].start 17272.60596875
transcript.pyannote[3516].end 17274.83346875
transcript.pyannote[3517].speaker SPEAKER_28
transcript.pyannote[3517].start 17273.50034375
transcript.pyannote[3517].end 17273.78721875
transcript.pyannote[3518].speaker SPEAKER_09
transcript.pyannote[3518].start 17275.42409375
transcript.pyannote[3518].end 17277.63471875
transcript.pyannote[3519].speaker SPEAKER_28
transcript.pyannote[3519].start 17276.75721875
transcript.pyannote[3519].end 17277.12846875
transcript.pyannote[3520].speaker SPEAKER_28
transcript.pyannote[3520].start 17278.84971875
transcript.pyannote[3520].end 17282.74784375
transcript.pyannote[3521].speaker SPEAKER_09
transcript.pyannote[3521].start 17280.30096875
transcript.pyannote[3521].end 17280.60471875
transcript.pyannote[3522].speaker SPEAKER_09
transcript.pyannote[3522].start 17281.85346875
transcript.pyannote[3522].end 17286.62909375
transcript.pyannote[3523].speaker SPEAKER_09
transcript.pyannote[3523].start 17287.05096875
transcript.pyannote[3523].end 17292.23159375
transcript.pyannote[3524].speaker SPEAKER_09
transcript.pyannote[3524].start 17292.53534375
transcript.pyannote[3524].end 17296.72034375
transcript.pyannote[3525].speaker SPEAKER_09
transcript.pyannote[3525].start 17296.99034375
transcript.pyannote[3525].end 17298.30659375
transcript.pyannote[3526].speaker SPEAKER_09
transcript.pyannote[3526].start 17298.62721875
transcript.pyannote[3526].end 17300.43284375
transcript.pyannote[3527].speaker SPEAKER_09
transcript.pyannote[3527].start 17300.73659375
transcript.pyannote[3527].end 17316.07596875
transcript.pyannote[3528].speaker SPEAKER_28
transcript.pyannote[3528].start 17303.48721875
transcript.pyannote[3528].end 17304.75284375
transcript.pyannote[3529].speaker SPEAKER_21
transcript.pyannote[3529].start 17304.75284375
transcript.pyannote[3529].end 17304.78659375
transcript.pyannote[3530].speaker SPEAKER_28
transcript.pyannote[3530].start 17316.00846875
transcript.pyannote[3530].end 17324.73284375
transcript.pyannote[3531].speaker SPEAKER_28
transcript.pyannote[3531].start 17324.96909375
transcript.pyannote[3531].end 17325.96471875
transcript.pyannote[3532].speaker SPEAKER_09
transcript.pyannote[3532].start 17325.96471875
transcript.pyannote[3532].end 17326.15034375
transcript.pyannote[3533].speaker SPEAKER_28
transcript.pyannote[3533].start 17326.15034375
transcript.pyannote[3533].end 17326.16721875
transcript.pyannote[3534].speaker SPEAKER_28
transcript.pyannote[3534].start 17326.25159375
transcript.pyannote[3534].end 17327.60159375
transcript.pyannote[3535].speaker SPEAKER_09
transcript.pyannote[3535].start 17327.88846875
transcript.pyannote[3535].end 17337.74346875
transcript.pyannote[3536].speaker SPEAKER_28
transcript.pyannote[3536].start 17327.98971875
transcript.pyannote[3536].end 17329.27221875
transcript.pyannote[3537].speaker SPEAKER_28
transcript.pyannote[3537].start 17331.02721875
transcript.pyannote[3537].end 17331.48284375
transcript.pyannote[3538].speaker SPEAKER_05
transcript.pyannote[3538].start 17331.48284375
transcript.pyannote[3538].end 17331.49971875
transcript.pyannote[3539].speaker SPEAKER_05
transcript.pyannote[3539].start 17334.68909375
transcript.pyannote[3539].end 17335.66784375
transcript.pyannote[3540].speaker SPEAKER_05
transcript.pyannote[3540].start 17337.74346875
transcript.pyannote[3540].end 17338.14846875
transcript.pyannote[3541].speaker SPEAKER_09
transcript.pyannote[3541].start 17338.14846875
transcript.pyannote[3541].end 17345.70846875
transcript.pyannote[3542].speaker SPEAKER_09
transcript.pyannote[3542].start 17345.89409375
transcript.pyannote[3542].end 17347.09221875
transcript.pyannote[3543].speaker SPEAKER_09
transcript.pyannote[3543].start 17347.49721875
transcript.pyannote[3543].end 17353.53846875
transcript.pyannote[3544].speaker SPEAKER_09
transcript.pyannote[3544].start 17353.72409375
transcript.pyannote[3544].end 17357.21721875
transcript.pyannote[3545].speaker SPEAKER_09
transcript.pyannote[3545].start 17357.53784375
transcript.pyannote[3545].end 17359.83284375
transcript.pyannote[3546].speaker SPEAKER_28
transcript.pyannote[3546].start 17357.57159375
transcript.pyannote[3546].end 17363.76471875
transcript.pyannote[3547].speaker SPEAKER_28
transcript.pyannote[3547].start 17363.96721875
transcript.pyannote[3547].end 17395.72596875
transcript.pyannote[3548].speaker SPEAKER_10
transcript.pyannote[3548].start 17368.27034375
transcript.pyannote[3548].end 17368.81034375
transcript.pyannote[3549].speaker SPEAKER_00
transcript.pyannote[3549].start 17371.51034375
transcript.pyannote[3549].end 17371.57784375
transcript.pyannote[3550].speaker SPEAKER_05
transcript.pyannote[3550].start 17371.57784375
transcript.pyannote[3550].end 17372.06721875
transcript.pyannote[3551].speaker SPEAKER_00
transcript.pyannote[3551].start 17388.65534375
transcript.pyannote[3551].end 17389.17846875
transcript.pyannote[3552].speaker SPEAKER_28
transcript.pyannote[3552].start 17396.08034375
transcript.pyannote[3552].end 17405.10846875
transcript.pyannote[3553].speaker SPEAKER_05
transcript.pyannote[3553].start 17399.77596875
transcript.pyannote[3553].end 17399.97846875
transcript.pyannote[3554].speaker SPEAKER_28
transcript.pyannote[3554].start 17405.73284375
transcript.pyannote[3554].end 17406.40784375
transcript.pyannote[3555].speaker SPEAKER_28
transcript.pyannote[3555].start 17407.30221875
transcript.pyannote[3555].end 17408.43284375
transcript.pyannote[3556].speaker SPEAKER_28
transcript.pyannote[3556].start 17412.26346875
transcript.pyannote[3556].end 17413.36034375
transcript.pyannote[3557].speaker SPEAKER_28
transcript.pyannote[3557].start 17413.86659375
transcript.pyannote[3557].end 17425.51034375
transcript.pyannote[3558].speaker SPEAKER_28
transcript.pyannote[3558].start 17425.88159375
transcript.pyannote[3558].end 17428.69971875
transcript.pyannote[3559].speaker SPEAKER_28
transcript.pyannote[3559].start 17428.96971875
transcript.pyannote[3559].end 17430.18471875
transcript.pyannote[3560].speaker SPEAKER_28
transcript.pyannote[3560].start 17430.50534375
transcript.pyannote[3560].end 17440.86659375
transcript.pyannote[3561].speaker SPEAKER_28
transcript.pyannote[3561].start 17441.65971875
transcript.pyannote[3561].end 17453.91096875
transcript.pyannote[3562].speaker SPEAKER_28
transcript.pyannote[3562].start 17455.61534375
transcript.pyannote[3562].end 17456.18909375
transcript.pyannote[3563].speaker SPEAKER_28
transcript.pyannote[3563].start 17456.84721875
transcript.pyannote[3563].end 17457.55596875
transcript.pyannote[3564].speaker SPEAKER_28
transcript.pyannote[3564].start 17457.85971875
transcript.pyannote[3564].end 17459.49659375
transcript.pyannote[3565].speaker SPEAKER_28
transcript.pyannote[3565].start 17460.13784375
transcript.pyannote[3565].end 17463.14159375
transcript.pyannote[3566].speaker SPEAKER_28
transcript.pyannote[3566].start 17463.61409375
transcript.pyannote[3566].end 17481.77159375
transcript.pyannote[3567].speaker SPEAKER_05
transcript.pyannote[3567].start 17474.27909375
transcript.pyannote[3567].end 17474.63346875
transcript.pyannote[3568].speaker SPEAKER_05
transcript.pyannote[3568].start 17479.89846875
transcript.pyannote[3568].end 17479.99971875
transcript.pyannote[3569].speaker SPEAKER_28
transcript.pyannote[3569].start 17481.99096875
transcript.pyannote[3569].end 17484.11721875
transcript.pyannote[3570].speaker SPEAKER_28
transcript.pyannote[3570].start 17484.74159375
transcript.pyannote[3570].end 17485.88909375
transcript.pyannote[3571].speaker SPEAKER_09
transcript.pyannote[3571].start 17485.88909375
transcript.pyannote[3571].end 17486.04096875
transcript.pyannote[3572].speaker SPEAKER_28
transcript.pyannote[3572].start 17486.04096875
transcript.pyannote[3572].end 17487.50909375
transcript.pyannote[3573].speaker SPEAKER_09
transcript.pyannote[3573].start 17486.12534375
transcript.pyannote[3573].end 17486.22659375
transcript.pyannote[3574].speaker SPEAKER_09
transcript.pyannote[3574].start 17487.50909375
transcript.pyannote[3574].end 17488.03221875
transcript.pyannote[3575].speaker SPEAKER_09
transcript.pyannote[3575].start 17488.09971875
transcript.pyannote[3575].end 17489.34846875
transcript.pyannote[3576].speaker SPEAKER_09
transcript.pyannote[3576].start 17489.43284375
transcript.pyannote[3576].end 17496.21659375
transcript.pyannote[3577].speaker SPEAKER_09
transcript.pyannote[3577].start 17496.67221875
transcript.pyannote[3577].end 17498.78159375
transcript.pyannote[3578].speaker SPEAKER_09
transcript.pyannote[3578].start 17499.22034375
transcript.pyannote[3578].end 17499.99659375
transcript.pyannote[3579].speaker SPEAKER_09
transcript.pyannote[3579].start 17500.24971875
transcript.pyannote[3579].end 17502.46034375
transcript.pyannote[3580].speaker SPEAKER_09
transcript.pyannote[3580].start 17502.49409375
transcript.pyannote[3580].end 17502.91596875
transcript.pyannote[3581].speaker SPEAKER_09
transcript.pyannote[3581].start 17503.01721875
transcript.pyannote[3581].end 17504.67096875
transcript.pyannote[3582].speaker SPEAKER_09
transcript.pyannote[3582].start 17504.87346875
transcript.pyannote[3582].end 17506.37534375
transcript.pyannote[3583].speaker SPEAKER_09
transcript.pyannote[3583].start 17506.66221875
transcript.pyannote[3583].end 17526.40596875
transcript.pyannote[3584].speaker SPEAKER_28
transcript.pyannote[3584].start 17522.18721875
transcript.pyannote[3584].end 17522.64284375
transcript.pyannote[3585].speaker SPEAKER_28
transcript.pyannote[3585].start 17525.14034375
transcript.pyannote[3585].end 17525.66346875
transcript.pyannote[3586].speaker SPEAKER_28
transcript.pyannote[3586].start 17526.45659375
transcript.pyannote[3586].end 17558.82284375
transcript.pyannote[3587].speaker SPEAKER_10
transcript.pyannote[3587].start 17550.03096875
transcript.pyannote[3587].end 17550.04784375
transcript.pyannote[3588].speaker SPEAKER_05
transcript.pyannote[3588].start 17550.04784375
transcript.pyannote[3588].end 17550.13221875
transcript.pyannote[3589].speaker SPEAKER_10
transcript.pyannote[3589].start 17550.13221875
transcript.pyannote[3589].end 17550.19971875
transcript.pyannote[3590].speaker SPEAKER_05
transcript.pyannote[3590].start 17550.19971875
transcript.pyannote[3590].end 17550.31784375
transcript.pyannote[3591].speaker SPEAKER_10
transcript.pyannote[3591].start 17550.31784375
transcript.pyannote[3591].end 17550.40221875
transcript.pyannote[3592].speaker SPEAKER_10
transcript.pyannote[3592].start 17557.18596875
transcript.pyannote[3592].end 17557.20284375
transcript.pyannote[3593].speaker SPEAKER_11
transcript.pyannote[3593].start 17557.20284375
transcript.pyannote[3593].end 17559.12659375
transcript.pyannote[3594].speaker SPEAKER_11
transcript.pyannote[3594].start 17560.35846875
transcript.pyannote[3594].end 17562.40034375
transcript.pyannote[3595].speaker SPEAKER_11
transcript.pyannote[3595].start 17562.72096875
transcript.pyannote[3595].end 17581.90784375
transcript.pyannote[3596].speaker SPEAKER_11
transcript.pyannote[3596].start 17582.43096875
transcript.pyannote[3596].end 17588.82659375
transcript.pyannote[3597].speaker SPEAKER_11
transcript.pyannote[3597].start 17589.55221875
transcript.pyannote[3597].end 17592.03284375
transcript.pyannote[3598].speaker SPEAKER_17
transcript.pyannote[3598].start 17592.03284375
transcript.pyannote[3598].end 17592.77534375
transcript.pyannote[3599].speaker SPEAKER_11
transcript.pyannote[3599].start 17592.77534375
transcript.pyannote[3599].end 17592.79221875
transcript.pyannote[3600].speaker SPEAKER_17
transcript.pyannote[3600].start 17592.79221875
transcript.pyannote[3600].end 17603.11971875
transcript.pyannote[3601].speaker SPEAKER_11
transcript.pyannote[3601].start 17603.81159375
transcript.pyannote[3601].end 17605.39784375
transcript.pyannote[3602].speaker SPEAKER_11
transcript.pyannote[3602].start 17605.87034375
transcript.pyannote[3602].end 17609.36346875
transcript.pyannote[3603].speaker SPEAKER_11
transcript.pyannote[3603].start 17609.49846875
transcript.pyannote[3603].end 17610.54471875
transcript.pyannote[3604].speaker SPEAKER_11
transcript.pyannote[3604].start 17611.11846875
transcript.pyannote[3604].end 17613.88596875
transcript.pyannote[3605].speaker SPEAKER_11
transcript.pyannote[3605].start 17616.02909375
transcript.pyannote[3605].end 17622.10409375
transcript.pyannote[3606].speaker SPEAKER_11
transcript.pyannote[3606].start 17624.02784375
transcript.pyannote[3606].end 17625.04034375
transcript.pyannote[3607].speaker SPEAKER_11
transcript.pyannote[3607].start 17626.64346875
transcript.pyannote[3607].end 17627.65596875
transcript.pyannote[3608].speaker SPEAKER_28
transcript.pyannote[3608].start 17630.92971875
transcript.pyannote[3608].end 17632.63409375
transcript.pyannote[3609].speaker SPEAKER_10
transcript.pyannote[3609].start 17640.56534375
transcript.pyannote[3609].end 17640.83534375
transcript.pyannote[3610].speaker SPEAKER_28
transcript.pyannote[3610].start 17641.18971875
transcript.pyannote[3610].end 17641.69596875
transcript.pyannote[3611].speaker SPEAKER_28
transcript.pyannote[3611].start 17642.37096875
transcript.pyannote[3611].end 17662.67159375
transcript.pyannote[3612].speaker SPEAKER_28
transcript.pyannote[3612].start 17663.09346875
transcript.pyannote[3612].end 17663.68409375
transcript.pyannote[3613].speaker SPEAKER_28
transcript.pyannote[3613].start 17664.47721875
transcript.pyannote[3613].end 17664.94971875
transcript.pyannote[3614].speaker SPEAKER_28
transcript.pyannote[3614].start 17665.87784375
transcript.pyannote[3614].end 17667.00846875
transcript.pyannote[3615].speaker SPEAKER_28
transcript.pyannote[3615].start 17667.75096875
transcript.pyannote[3615].end 17678.98971875
transcript.pyannote[3616].speaker SPEAKER_28
transcript.pyannote[3616].start 17680.52534375
transcript.pyannote[3616].end 17682.12846875
transcript.pyannote[3617].speaker SPEAKER_28
transcript.pyannote[3617].start 17682.43221875
transcript.pyannote[3617].end 17683.93409375
transcript.pyannote[3618].speaker SPEAKER_28
transcript.pyannote[3618].start 17684.87909375
transcript.pyannote[3618].end 17685.35159375
transcript.pyannote[3619].speaker SPEAKER_28
transcript.pyannote[3619].start 17685.50346875
transcript.pyannote[3619].end 17687.69721875
transcript.pyannote[3620].speaker SPEAKER_28
transcript.pyannote[3620].start 17688.27096875
transcript.pyannote[3620].end 17691.61221875
transcript.pyannote[3621].speaker SPEAKER_28
transcript.pyannote[3621].start 17692.23659375
transcript.pyannote[3621].end 17693.23221875
transcript.pyannote[3622].speaker SPEAKER_28
transcript.pyannote[3622].start 17693.94096875
transcript.pyannote[3622].end 17694.24471875
transcript.pyannote[3623].speaker SPEAKER_28
transcript.pyannote[3623].start 17694.88596875
transcript.pyannote[3623].end 17695.44284375
transcript.pyannote[3624].speaker SPEAKER_28
transcript.pyannote[3624].start 17695.93221875
transcript.pyannote[3624].end 17698.39596875
transcript.pyannote[3625].speaker SPEAKER_28
transcript.pyannote[3625].start 17698.76721875
transcript.pyannote[3625].end 17699.69534375
transcript.pyannote[3626].speaker SPEAKER_28
transcript.pyannote[3626].start 17700.80909375
transcript.pyannote[3626].end 17703.25596875
transcript.pyannote[3627].speaker SPEAKER_27
transcript.pyannote[3627].start 17702.24346875
transcript.pyannote[3627].end 17703.05346875
transcript.pyannote[3628].speaker SPEAKER_28
transcript.pyannote[3628].start 17703.54284375
transcript.pyannote[3628].end 17705.34846875
transcript.pyannote[3629].speaker SPEAKER_28
transcript.pyannote[3629].start 17706.10784375
transcript.pyannote[3629].end 17707.03596875
transcript.pyannote[3630].speaker SPEAKER_28
transcript.pyannote[3630].start 17707.62659375
transcript.pyannote[3630].end 17709.19596875
transcript.pyannote[3631].speaker SPEAKER_28
transcript.pyannote[3631].start 17710.19159375
transcript.pyannote[3631].end 17710.52909375
transcript.pyannote[3632].speaker SPEAKER_28
transcript.pyannote[3632].start 17710.96784375
transcript.pyannote[3632].end 17711.91284375
transcript.pyannote[3633].speaker SPEAKER_28
transcript.pyannote[3633].start 17713.11096875
transcript.pyannote[3633].end 17713.75221875
transcript.pyannote[3634].speaker SPEAKER_28
transcript.pyannote[3634].start 17714.49471875
transcript.pyannote[3634].end 17715.55784375
transcript.pyannote[3635].speaker SPEAKER_28
transcript.pyannote[3635].start 17716.50284375
transcript.pyannote[3635].end 17720.08034375
transcript.pyannote[3636].speaker SPEAKER_28
transcript.pyannote[3636].start 17720.56971875
transcript.pyannote[3636].end 17721.93659375
transcript.pyannote[3637].speaker SPEAKER_28
transcript.pyannote[3637].start 17722.22346875
transcript.pyannote[3637].end 17723.92784375
transcript.pyannote[3638].speaker SPEAKER_28
transcript.pyannote[3638].start 17724.19784375
transcript.pyannote[3638].end 17726.08784375
transcript.pyannote[3639].speaker SPEAKER_28
transcript.pyannote[3639].start 17727.10034375
transcript.pyannote[3639].end 17729.34471875
transcript.pyannote[3640].speaker SPEAKER_28
transcript.pyannote[3640].start 17729.90159375
transcript.pyannote[3640].end 17730.40784375
transcript.pyannote[3641].speaker SPEAKER_28
transcript.pyannote[3641].start 17730.93096875
transcript.pyannote[3641].end 17732.77034375
transcript.pyannote[3642].speaker SPEAKER_28
transcript.pyannote[3642].start 17733.83346875
transcript.pyannote[3642].end 17734.37346875
transcript.pyannote[3643].speaker SPEAKER_28
transcript.pyannote[3643].start 17735.31846875
transcript.pyannote[3643].end 17738.00159375
transcript.pyannote[3644].speaker SPEAKER_28
transcript.pyannote[3644].start 17739.13221875
transcript.pyannote[3644].end 17739.63846875
transcript.pyannote[3645].speaker SPEAKER_28
transcript.pyannote[3645].start 17740.17846875
transcript.pyannote[3645].end 17740.66784375
transcript.pyannote[3646].speaker SPEAKER_28
transcript.pyannote[3646].start 17740.93784375
transcript.pyannote[3646].end 17742.82784375
transcript.pyannote[3647].speaker SPEAKER_28
transcript.pyannote[3647].start 17743.55346875
transcript.pyannote[3647].end 17745.57846875
transcript.pyannote[3648].speaker SPEAKER_28
transcript.pyannote[3648].start 17745.59534375
transcript.pyannote[3648].end 17746.65846875
transcript.pyannote[3649].speaker SPEAKER_28
transcript.pyannote[3649].start 17747.92409375
transcript.pyannote[3649].end 17748.26159375
transcript.pyannote[3650].speaker SPEAKER_28
transcript.pyannote[3650].start 17749.00409375
transcript.pyannote[3650].end 17749.42596875
transcript.pyannote[3651].speaker SPEAKER_28
transcript.pyannote[3651].start 17749.57784375
transcript.pyannote[3651].end 17751.11346875
transcript.pyannote[3652].speaker SPEAKER_28
transcript.pyannote[3652].start 17752.15971875
transcript.pyannote[3652].end 17752.80096875
transcript.pyannote[3653].speaker SPEAKER_28
transcript.pyannote[3653].start 17753.20596875
transcript.pyannote[3653].end 17754.62346875
transcript.pyannote[3654].speaker SPEAKER_28
transcript.pyannote[3654].start 17754.91034375
transcript.pyannote[3654].end 17762.79096875
transcript.pyannote[3655].speaker SPEAKER_28
transcript.pyannote[3655].start 17764.39409375
transcript.pyannote[3655].end 17767.43159375
transcript.pyannote[3656].speaker SPEAKER_28
transcript.pyannote[3656].start 17767.85346875
transcript.pyannote[3656].end 17769.50721875
transcript.pyannote[3657].speaker SPEAKER_28
transcript.pyannote[3657].start 17770.13159375
transcript.pyannote[3657].end 17770.89096875
transcript.pyannote[3658].speaker SPEAKER_28
transcript.pyannote[3658].start 17771.97096875
transcript.pyannote[3658].end 17775.21096875
transcript.pyannote[3659].speaker SPEAKER_28
transcript.pyannote[3659].start 17775.76784375
transcript.pyannote[3659].end 17778.56909375
transcript.pyannote[3660].speaker SPEAKER_09
transcript.pyannote[3660].start 17778.95721875
transcript.pyannote[3660].end 17797.03034375
transcript.pyannote[3661].speaker SPEAKER_28
transcript.pyannote[3661].start 17779.54784375
transcript.pyannote[3661].end 17780.08784375
transcript.pyannote[3662].speaker SPEAKER_28
transcript.pyannote[3662].start 17782.70346875
transcript.pyannote[3662].end 17783.20971875
transcript.pyannote[3663].speaker SPEAKER_10
transcript.pyannote[3663].start 17787.88409375
transcript.pyannote[3663].end 17787.93471875
transcript.pyannote[3664].speaker SPEAKER_08
transcript.pyannote[3664].start 17787.93471875
transcript.pyannote[3664].end 17788.03596875
transcript.pyannote[3665].speaker SPEAKER_05
transcript.pyannote[3665].start 17788.03596875
transcript.pyannote[3665].end 17788.32284375
transcript.pyannote[3666].speaker SPEAKER_08
transcript.pyannote[3666].start 17788.32284375
transcript.pyannote[3666].end 17788.42409375
transcript.pyannote[3667].speaker SPEAKER_10
transcript.pyannote[3667].start 17788.42409375
transcript.pyannote[3667].end 17788.64346875
transcript.pyannote[3668].speaker SPEAKER_10
transcript.pyannote[3668].start 17790.43221875
transcript.pyannote[3668].end 17790.48284375
transcript.pyannote[3669].speaker SPEAKER_05
transcript.pyannote[3669].start 17790.48284375
transcript.pyannote[3669].end 17790.90471875
transcript.pyannote[3670].speaker SPEAKER_09
transcript.pyannote[3670].start 17797.51971875
transcript.pyannote[3670].end 17798.07659375
transcript.pyannote[3671].speaker SPEAKER_09
transcript.pyannote[3671].start 17798.71784375
transcript.pyannote[3671].end 17814.32721875
transcript.pyannote[3672].speaker SPEAKER_28
transcript.pyannote[3672].start 17814.32721875
transcript.pyannote[3672].end 17817.09471875
transcript.pyannote[3673].speaker SPEAKER_28
transcript.pyannote[3673].start 17817.38159375
transcript.pyannote[3673].end 17821.34721875
transcript.pyannote[3674].speaker SPEAKER_09
transcript.pyannote[3674].start 17819.17034375
transcript.pyannote[3674].end 17819.67659375
transcript.pyannote[3675].speaker SPEAKER_00
transcript.pyannote[3675].start 17820.50346875
transcript.pyannote[3675].end 17820.52034375
transcript.pyannote[3676].speaker SPEAKER_09
transcript.pyannote[3676].start 17820.52034375
transcript.pyannote[3676].end 17820.97596875
transcript.pyannote[3677].speaker SPEAKER_10
transcript.pyannote[3677].start 17820.97596875
transcript.pyannote[3677].end 17821.06034375
transcript.pyannote[3678].speaker SPEAKER_09
transcript.pyannote[3678].start 17821.06034375
transcript.pyannote[3678].end 17821.17846875
transcript.pyannote[3679].speaker SPEAKER_28
transcript.pyannote[3679].start 17821.78596875
transcript.pyannote[3679].end 17824.09784375
transcript.pyannote[3680].speaker SPEAKER_28
transcript.pyannote[3680].start 17824.70534375
transcript.pyannote[3680].end 17825.98784375
transcript.pyannote[3681].speaker SPEAKER_28
transcript.pyannote[3681].start 17826.35909375
transcript.pyannote[3681].end 17829.16034375
transcript.pyannote[3682].speaker SPEAKER_10
transcript.pyannote[3682].start 17828.18159375
transcript.pyannote[3682].end 17828.75534375
transcript.pyannote[3683].speaker SPEAKER_10
transcript.pyannote[3683].start 17828.94096875
transcript.pyannote[3683].end 17829.32909375
transcript.pyannote[3684].speaker SPEAKER_28
transcript.pyannote[3684].start 17829.32909375
transcript.pyannote[3684].end 17836.02846875
transcript.pyannote[3685].speaker SPEAKER_28
transcript.pyannote[3685].start 17836.78784375
transcript.pyannote[3685].end 17851.77284375
transcript.pyannote[3686].speaker SPEAKER_28
transcript.pyannote[3686].start 17852.63346875
transcript.pyannote[3686].end 17861.22284375
transcript.pyannote[3687].speaker SPEAKER_28
transcript.pyannote[3687].start 17861.77971875
transcript.pyannote[3687].end 17863.28159375
transcript.pyannote[3688].speaker SPEAKER_28
transcript.pyannote[3688].start 17865.15471875
transcript.pyannote[3688].end 17870.16659375
transcript.pyannote[3689].speaker SPEAKER_05
transcript.pyannote[3689].start 17870.01471875
transcript.pyannote[3689].end 17870.55471875
transcript.pyannote[3690].speaker SPEAKER_28
transcript.pyannote[3690].start 17870.45346875
transcript.pyannote[3690].end 17874.65534375
transcript.pyannote[3691].speaker SPEAKER_28
transcript.pyannote[3691].start 17874.95909375
transcript.pyannote[3691].end 17876.62971875
transcript.pyannote[3692].speaker SPEAKER_28
transcript.pyannote[3692].start 17877.38909375
transcript.pyannote[3692].end 17879.31284375
transcript.pyannote[3693].speaker SPEAKER_28
transcript.pyannote[3693].start 17880.51096875
transcript.pyannote[3693].end 17902.07721875
transcript.pyannote[3694].speaker SPEAKER_28
transcript.pyannote[3694].start 17902.48221875
transcript.pyannote[3694].end 17905.57034375
transcript.pyannote[3695].speaker SPEAKER_11
transcript.pyannote[3695].start 17903.37659375
transcript.pyannote[3695].end 17903.49471875
transcript.pyannote[3696].speaker SPEAKER_11
transcript.pyannote[3696].start 17905.03034375
transcript.pyannote[3696].end 17905.26659375
transcript.pyannote[3697].speaker SPEAKER_05
transcript.pyannote[3697].start 17905.26659375
transcript.pyannote[3697].end 17905.43534375
transcript.pyannote[3698].speaker SPEAKER_11
transcript.pyannote[3698].start 17905.57034375
transcript.pyannote[3698].end 17905.58721875
transcript.pyannote[3699].speaker SPEAKER_11
transcript.pyannote[3699].start 17905.80659375
transcript.pyannote[3699].end 17907.40971875
transcript.pyannote[3700].speaker SPEAKER_11
transcript.pyannote[3700].start 17908.79346875
transcript.pyannote[3700].end 17910.93659375
transcript.pyannote[3701].speaker SPEAKER_11
transcript.pyannote[3701].start 17914.48034375
transcript.pyannote[3701].end 17914.49721875
transcript.pyannote[3702].speaker SPEAKER_16
transcript.pyannote[3702].start 17914.49721875
transcript.pyannote[3702].end 17917.50096875
transcript.pyannote[3703].speaker SPEAKER_16
transcript.pyannote[3703].start 17917.65284375
transcript.pyannote[3703].end 17936.92409375
transcript.pyannote[3704].speaker SPEAKER_16
transcript.pyannote[3704].start 17937.27846875
transcript.pyannote[3704].end 17957.41034375
transcript.pyannote[3705].speaker SPEAKER_16
transcript.pyannote[3705].start 17957.59596875
transcript.pyannote[3705].end 17982.38534375
transcript.pyannote[3706].speaker SPEAKER_09
transcript.pyannote[3706].start 17982.38534375
transcript.pyannote[3706].end 17999.83409375
transcript.pyannote[3707].speaker SPEAKER_16
transcript.pyannote[3707].start 17995.75034375
transcript.pyannote[3707].end 18000.52596875
transcript.pyannote[3708].speaker SPEAKER_16
transcript.pyannote[3708].start 18001.04909375
transcript.pyannote[3708].end 18003.78284375
transcript.pyannote[3709].speaker SPEAKER_09
transcript.pyannote[3709].start 18001.36971875
transcript.pyannote[3709].end 18012.16971875
transcript.pyannote[3710].speaker SPEAKER_16
transcript.pyannote[3710].start 18005.06534375
transcript.pyannote[3710].end 18005.57159375
transcript.pyannote[3711].speaker SPEAKER_16
transcript.pyannote[3711].start 18006.36471875
transcript.pyannote[3711].end 18008.67659375
transcript.pyannote[3712].speaker SPEAKER_16
transcript.pyannote[3712].start 18010.09409375
transcript.pyannote[3712].end 18018.98721875
transcript.pyannote[3713].speaker SPEAKER_09
transcript.pyannote[3713].start 18014.34659375
transcript.pyannote[3713].end 18014.97096875
transcript.pyannote[3714].speaker SPEAKER_09
transcript.pyannote[3714].start 18015.19034375
transcript.pyannote[3714].end 18015.66284375
transcript.pyannote[3715].speaker SPEAKER_09
transcript.pyannote[3715].start 18017.63721875
transcript.pyannote[3715].end 18022.93596875
transcript.pyannote[3716].speaker SPEAKER_16
transcript.pyannote[3716].start 18020.67471875
transcript.pyannote[3716].end 18021.87284375
transcript.pyannote[3717].speaker SPEAKER_09
transcript.pyannote[3717].start 18023.54346875
transcript.pyannote[3717].end 18025.92284375
transcript.pyannote[3718].speaker SPEAKER_09
transcript.pyannote[3718].start 18026.41221875
transcript.pyannote[3718].end 18034.39409375
transcript.pyannote[3719].speaker SPEAKER_09
transcript.pyannote[3719].start 18034.54596875
transcript.pyannote[3719].end 18039.28784375
transcript.pyannote[3720].speaker SPEAKER_09
transcript.pyannote[3720].start 18039.57471875
transcript.pyannote[3720].end 18042.57846875
transcript.pyannote[3721].speaker SPEAKER_09
transcript.pyannote[3721].start 18042.74721875
transcript.pyannote[3721].end 18045.64971875
transcript.pyannote[3722].speaker SPEAKER_16
transcript.pyannote[3722].start 18045.64971875
transcript.pyannote[3722].end 18097.92846875
transcript.pyannote[3723].speaker SPEAKER_00
transcript.pyannote[3723].start 18071.24909375
transcript.pyannote[3723].end 18071.65409375
transcript.pyannote[3724].speaker SPEAKER_00
transcript.pyannote[3724].start 18072.76784375
transcript.pyannote[3724].end 18073.03784375
transcript.pyannote[3725].speaker SPEAKER_11
transcript.pyannote[3725].start 18093.92909375
transcript.pyannote[3725].end 18094.40159375
transcript.pyannote[3726].speaker SPEAKER_11
transcript.pyannote[3726].start 18097.92846875
transcript.pyannote[3726].end 18100.30784375
transcript.pyannote[3727].speaker SPEAKER_11
transcript.pyannote[3727].start 18100.79721875
transcript.pyannote[3727].end 18103.53096875
transcript.pyannote[3728].speaker SPEAKER_11
transcript.pyannote[3728].start 18106.33221875
transcript.pyannote[3728].end 18106.82159375
transcript.pyannote[3729].speaker SPEAKER_11
transcript.pyannote[3729].start 18108.17159375
transcript.pyannote[3729].end 18117.09846875
transcript.pyannote[3730].speaker SPEAKER_11
transcript.pyannote[3730].start 18118.17846875
transcript.pyannote[3730].end 18118.71846875
transcript.pyannote[3731].speaker SPEAKER_11
transcript.pyannote[3731].start 18118.81971875
transcript.pyannote[3731].end 18121.03034375
transcript.pyannote[3732].speaker SPEAKER_05
transcript.pyannote[3732].start 18121.97534375
transcript.pyannote[3732].end 18122.02596875
transcript.pyannote[3733].speaker SPEAKER_11
transcript.pyannote[3733].start 18134.19284375
transcript.pyannote[3733].end 18137.65221875
transcript.pyannote[3734].speaker SPEAKER_11
transcript.pyannote[3734].start 18138.59721875
transcript.pyannote[3734].end 18145.56659375
transcript.pyannote[3735].speaker SPEAKER_03
transcript.pyannote[3735].start 18147.59159375
transcript.pyannote[3735].end 18148.33409375
transcript.pyannote[3736].speaker SPEAKER_03
transcript.pyannote[3736].start 18148.82346875
transcript.pyannote[3736].end 18152.14784375
transcript.pyannote[3737].speaker SPEAKER_11
transcript.pyannote[3737].start 18152.67096875
transcript.pyannote[3737].end 18154.30784375
transcript.pyannote[3738].speaker SPEAKER_19
transcript.pyannote[3738].start 18176.51534375
transcript.pyannote[3738].end 18177.17346875
transcript.pyannote[3739].speaker SPEAKER_11
transcript.pyannote[3739].start 18177.56159375
transcript.pyannote[3739].end 18179.51909375
transcript.whisperx[0].start 266.087
transcript.whisperx[0].end 268.032
transcript.whisperx[0].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[1].start 1780.615
transcript.whisperx[1].end 1794.725
transcript.whisperx[1].text 出席委員已主法定人數現在開會請議事人員宣讀上次會議議事錄立法院第11屆第1會期社會福利及衛生環境委員會第7次全體委員會議議事錄時間113年3月20日星期三9時至13時29分3月21日星期四9時1分至12時42分
transcript.whisperx[2].start 1801.71
transcript.whisperx[2].end 1830.097
transcript.whisperx[2].text 地點群賢樓801會議室出席委員陳昭芝等15人列席委員吳佩義等29人列席官員3月20日勞動部部長許明春及衛生福利部政務次長李立芬等相關人員3月21日環境部部長薛復聖等相關人員主席王兆吉委員喻敏3月20日報告事項宣讀上次會議議事錄決定確定邀請勞動部部長、衛生福利部、教育部就落實職場性別平等及性平三法上路
transcript.whisperx[3].start 1830.737
transcript.whisperx[3].end 1843.421
transcript.whisperx[3].text 如何落實僱主責任進行專題報告.並備質詢。邀請衛生福利部勞動部教育部就《完善職場育兒環境及托育人員專業行能工作倫理及職業道德之培訓策進作為進行專題報告.並備質詢。
transcript.whisperx[4].start 1846.542
transcript.whisperx[4].end 1865.722
transcript.whisperx[4].text 本日會議專題報告綜合詢答由勞動部部長及衛生福利部政務次長報告後委員陳昭芝等24人提出質詢軍警勞動部部長許明春衛生福利部政務次長李立芬及教育部學生事務及特殊教育司司長吳林輝及各相關主管等及其答覆委員楊耀、王宏維、張祺凱
transcript.whisperx[5].start 1868.104
transcript.whisperx[5].end 1895.063
transcript.whisperx[5].text 秋政軍所提書面諮詢列入紀錄刊登公報決定一、報告及詢答完畢二、委員諮詢未及答覆或請補充資料者請相關機關於二周內以書面答覆委員令要求期限者從其所定通過臨時提案實項3月21日邀請環境部部長、經濟部、農業部國家發展委員會、行政院國家永續發展委員會就加速推動再生能源對國土環境之影響
transcript.whisperx[6].start 1896.064
transcript.whisperx[6].end 1899.547
transcript.whisperx[6].text 環境影響評估認定標準修訂進度進行專題報告.並備質詢。本日會議由環境部部長報告後委員陳昭芝等21人提出質詢均經環境部部長、經濟部常務次長林全能、農業部資源永續利用司司長莊老達及國家發展委員會經濟發展處處長吳明慧及各相關主管等即席答覆
transcript.whisperx[7].start 1919.426
transcript.whisperx[7].end 1944.448
transcript.whisperx[7].text 委員楊耀、蘇清泉、陳冠廷及盧憲一所提書面質詢列入紀錄刊登公報決定一、報告及詢答完畢二、委員質詢未及答覆或請補充資料者請相關機關於二周內以書面答覆委員令要求期限者從其所定通過臨時提案五項宣讀完畢請問委員會上次議事錄有無錯誤或遺漏之處
transcript.whisperx[8].start 1946.765
transcript.whisperx[8].end 1947.566
transcript.whisperx[8].text 有關勞動部主管預算凍結案21案
transcript.whisperx[9].start 1973.663
transcript.whisperx[9].end 1999.781
transcript.whisperx[9].text 討論事項一案以上專題報告及討論事項才綜合詢答那接下來先介紹在場的委員及列席官員王振旭委員林月琴委員陳昭芝委員林淑芬委員王育明委員
transcript.whisperx[10].start 2002.289
transcript.whisperx[10].end 2025.821
transcript.whisperx[10].text 我們接下來介紹今天的列席官員勞動部部長許明春許部長勞動力發展署蔡猛良署長勞工保險局白立貞局長職業安全衛生署周子蓮署長勞動及職業安全衛生研究所李伯昌所長綜合規劃司王厚誠司長
transcript.whisperx[11].start 2030.923
transcript.whisperx[11].end 2054.27
transcript.whisperx[11].text 勞動關係司王厚偉司長勞動保險司陳美女司長勞動福祉退休司謝倩倩司長勞動條件及就業平等司黃維琛司長勞動法務司傅惠芝司長會計處林美信處長
transcript.whisperx[12].start 2056.127
transcript.whisperx[12].end 2073.118
transcript.whisperx[12].text 行政院主計總處公務預算處專門委員丘碧珠專門委員。好,那現在進行本次議程報告事項第二案處理113年度中央政府總預算有關勞動部主管預算凍結案20案請一併宣讀。
transcript.whisperx[13].start 2075.72
transcript.whisperx[13].end 2081.061
transcript.whisperx[13].text 處理勞動部行為中華民國113年度中央政府總預算決議分別檢送該部主管預算凍結案共計20案一、勞動部決議二、第三目綜合規劃業務預算凍結20萬元二、勞動部決議三、第四目勞動關係業務預算凍結10萬元三、勞動部決議四、第五目勞動福祉退休業務預算凍結10萬元
transcript.whisperx[14].start 2098.366
transcript.whisperx[14].end 2102.308
transcript.whisperx[14].text 四、勞動部決議五、第六目勞動條件及就業平等業務預算凍結10萬元五、勞動部決議六、第七目勞動法務業務預算凍結10萬元六、勞動部決議30、第六目勞動條件及就業平等業務預算凍結20萬元七、勞動部決議31、第7目勞動法務業務預算凍結10萬元
transcript.whisperx[15].start 2118.135
transcript.whisperx[15].end 2125.422
transcript.whisperx[15].text 八、勞工保險局決議一第一目一般行政預算凍結50萬元九、勞工保險局決議二第二目保險業務預算凍結50萬元十、勞動力發展署及所屬決議一勞動力發展署及所屬預算凍結20萬元十一、勞動力發展署及所屬決議二第二目向下綜合規劃預算凍結1%十二、勞動力發展署及所屬決議三第二目向下就業服務預算凍結10萬元
transcript.whisperx[16].start 2142.478
transcript.whisperx[16].end 2146.74
transcript.whisperx[16].text 13、勞動力發展署及所屬決議4第4目向下強化技能檢定基準預算凍結1%14、勞動力發展署及所屬決議13、勞動力發展署及所屬預算凍結10萬元15、職業安全衛生署決議1第3目一般行政預算凍結20萬元16、職業安全衛生署決議2第4目職業安全衛生業務預算凍結20萬元17、職業安全
transcript.whisperx[17].start 2166.907
transcript.whisperx[17].end 2184.232
transcript.whisperx[17].text 衛生署決議三第四目向下建全職業安全衛生管理及制度預算凍結10萬元18職業安全衛生署決議四第四目向下建構職場安全及推動防災措施預算凍結10萬元19職業安全衛生署決議24第四目職業安全衛生業務預算凍結10萬元20勞動及職業安全衛生研究所決議一第二目勞動及職業安全衛生研究預算凍結20萬元宣讀完畢
transcript.whisperx[18].start 2195.728
transcript.whisperx[18].end 2211.076
transcript.whisperx[18].text 有關勞動部主管預算凍結報告案計20案有沒有意義?沒有。那先做以下決議。均同意動之並提報院會。接下來請勞動部許部長就本次會議議程並按報告。時間5分鐘。
transcript.whisperx[19].start 2221.79
transcript.whisperx[19].end 2248.131
transcript.whisperx[19].text 主席各位委員女士先生大家好感謝各位委員對本部及所屬機關業務的支持今天針對事業單位應加強安全衛生管理制度作業流程及必要教育訓練並落實職場防災管理及113年預算凍結案部分辦理情形分別進行報告敬請各位委員指教首先針對事業單位應加強安全衛生管理及必要教育訓練並落實
transcript.whisperx[20].start 2250.492
transcript.whisperx[20].end 2274.227
transcript.whisperx[20].text 職場防災部分說明建構安全健康的勞動環境是我國國家永續發展目標之一也是本部重要的施政重點政府依循兩公約及相關國際人權公約將工作者生命健康權列為基本人權並秉持讓人人享有安全衛生的工作環境的願景結合各界資源積極推展各項職場
transcript.whisperx[21].start 2275.388
transcript.whisperx[21].end 2295.051
transcript.whisperx[21].text 的檢災工作以促使職業災害保險給付千人率至2014年的3.467逐年下降至2023年的2.222略見成效為今年仍發生多起重大公安事件例如蓮華食品公司的彰化廠火災
transcript.whisperx[22].start 2295.832
transcript.whisperx[22].end 2314.395
transcript.whisperx[22].text 民養國際公司爆炸事故及台中捷運遭塔掉壁撞擊等事件均造成多人死傷經分析災災根本的原因多為不安全的環境及不安全的行為所造成為此本部所採取的重要措施說明如下
transcript.whisperx[23].start 2315.496
transcript.whisperx[23].end 2342.242
transcript.whisperx[23].text 首先是強化監督檢查效能督促事業單位落實自主管理本部針對高風險廠廠實施專案檢查將高風險、高質災的事業列為優先檢查對象並以勤查嚴法的方式要求違法事業單位改善同時督促高風險事業單位推動職業安全衛生管理系統此外因為營造業的死亡人數佔全產業近一半
transcript.whisperx[24].start 2344.422
transcript.whisperx[24].end 2365.427
transcript.whisperx[24].text 災害類型以最弱職災為主,所以本部將今年定為營造業最弱打擊年,優先要求營造業落實最弱預防開始,並以建築工程為主要對象,針對臨時性開口及施工價等意造成最弱災害的部分提升檢查、裁罰及停工的強度。
transcript.whisperx[25].start 2366.207
transcript.whisperx[25].end 2380.357
transcript.whisperx[25].text 另對於具爆炸危害化學工廠製程安全管理部分本部除了配合相關部會積查並配合檢討、修正化學品運作管理相關法規以掌握化學品的運作資訊、適時實施監督檢查
transcript.whisperx[26].start 2383.649
transcript.whisperx[26].end 2408.309
transcript.whisperx[26].text 在公司協力擴展防災夥伴合作量能部分本部職安署各勞動檢查機構與高風險事業締結安全夥伴關係並強化企業高階主管安全領導決心以協助提升其安全衛生水準另針對中小企業資源較為不足的部分本部結合工協會協助其改善工作環境及製程的安全
transcript.whisperx[27].start 2408.869
transcript.whisperx[27].end 2431.645
transcript.whisperx[27].text 另外推動在地化勞工健康服務透過宣導、輔導與補助督促事業單位落實勞工身心健康的保護在加強部會合作、跨域治理強化源頭管理方面本部持續與經濟部、內政部、交通部等主管部會合作就其所管事業及公共工程實施聯合協助
transcript.whisperx[28].start 2434.377
transcript.whisperx[28].end 2439.84
transcript.whisperx[28].text 全體安全衛生的提升還有定期從環境部的化學雲篩選使用危險物的事業單位清測協助各勞動檢查機構掌握使用大量危險物的製造工廠並依風險納管監督
transcript.whisperx[29].start 2459.707
transcript.whisperx[29].end 2472.237
transcript.whisperx[29].text 在提升安全衛生資能與公安文化紮根部分要求勞動檢查機構將起重機、堆高機等機具操作或有害作業人員教育訓練為檢查重點並積極推行臺灣職安卡
transcript.whisperx[30].start 2475.919
transcript.whisperx[30].end 2501.967
transcript.whisperx[30].text 職業安全衛生數位學習平台鼓勵勞工線上訓練提升防災的應變智能最後要強調的是本部將持續運用有限的檢查人力以風險分級方式鎖定目標實施監督檢查督促事業單位落實職場防災管理對中小企業則以宣導輔導及設施補助等方式提供協助同時也將持續以多元的方式
transcript.whisperx[31].start 2502.728
transcript.whisperx[31].end 2517.405
transcript.whisperx[31].text 結合各界資源提升全民公安意識建構良好職場安全文化有關113年預算凍結案部分辦理情形報告在改善勞保財務部分目前勞保的給付支出雖然大於勞保的收入
transcript.whisperx[32].start 2518.266
transcript.whisperx[32].end 2527.334
transcript.whisperx[32].text 保費收入但短期內保費的收支缺口尚可由政府的撥補及基金的餘額來支應。 112年勞保整體收支順差1205億元基金累存餘額為8729億餘元隨著我國人口結構改變與其他國家實施年金制度的經驗相同勞保財務的負擔將減去沉重
transcript.whisperx[33].start 2543.528
transcript.whisperx[33].end 2561.195
transcript.whisperx[33].text 為健全年金的制度參考他國經驗,多次透過多管旗下的開源節流措施檢討制度的收入面及己負面並搭配政府撥補穩定基金流量,採嚴謹循序漸進方式規劃逐步建構穩健的年金制度。
transcript.whisperx[34].start 2562.23
transcript.whisperx[34].end 2576.3
transcript.whisperx[34].text 因此為確保勞保制度穩健運作本部透過依法調整費率積極強化納保及給付審核等行政作為即至109年前連續5年撥補勞保基金並提高撥補金額總計編列預算為2,670億元以協助增加基金收入未來本部仍將視財務狀況持續辦理撥補事宜
transcript.whisperx[35].start 2587.529
transcript.whisperx[35].end 2597.202
transcript.whisperx[35].text 針對未來勞保制度調整方向及推動期程考量制度調整有關勞工權益順序目前各界仍有不同意見如多數勞工反對調降給付
transcript.whisperx[36].start 2598.368
transcript.whisperx[36].end 2616.458
transcript.whisperx[36].text 希望政府役助更多資源之方則認為費力調整應考量企業負擔本部將秉持審慎的態度持續收集溝通各界意見在兼顧保障目的公平性及財務負擔的原則下研議因應對策週延規劃推動期程與確保勞工給付權益
transcript.whisperx[37].start 2620.72
transcript.whisperx[37].end 2640.149
transcript.whisperx[37].text 另針對委員關心勞動保險相關說明會的實施成效部分為此投保單位確實遵循相關法規保障勞工的權益本部每年度都會舉辦說明會未來將根據精進相關宣導必發揮最大的效益最後有關災保法新增部分私人年金及
transcript.whisperx[38].start 2640.709
transcript.whisperx[38].end 2656.983
transcript.whisperx[38].text 已屬一次經起覆的適用說明部分.今邀請學者專家嚴商認為前該起覆是《勞保條例》所無之新政規定因此災保法施行前發生實在事故的對保險人依該條例並沒有起覆請求權
transcript.whisperx[39].start 2658.244
transcript.whisperx[39].end 2672.694
transcript.whisperx[39].text 不適用災保法第103條的規定本部僅遵照決議事項積極辦理以上為本部推動職業安全衛生情形另113年預算系業務所需敬請各位委員給予支持並會事指教謝謝
transcript.whisperx[40].start 2677.319
transcript.whisperx[40].end 2689.589
transcript.whisperx[40].text 有關本次會議各項書面資料均列入記錄刊登公報現在開始詢答做以下宣告本會委員詢答時間為6加2分鐘列席委員4加1分鐘10點30分截止發言登記
transcript.whisperx[41].start 2694.693
transcript.whisperx[41].end 2709.657
transcript.whisperx[41].text 委員如有書面質詢請於散會前提出預期不受理暫定10點30分休息10分鐘本次會議不處理臨時提案現在請登記第一位委員陳昭芝委員謝謝主席麻煩請許部長請許部長
transcript.whisperx[42].start 2723.633
transcript.whisperx[42].end 2736.804
transcript.whisperx[42].text 陳副委員好部長早安部長請問您知道我們去年6月跟這個美國完成臺美21世紀的這個貿易這個倡議第一階段的協商您了解我們已經完成了第一階段的協商那部長知道接下來的第二段協商的談判內容會涉及到跟勞動部直接相關的這個
transcript.whisperx[43].start 2744.451
transcript.whisperx[43].end 2748.995
transcript.whisperx[43].text 勞動權益是非常重要的關鍵議題因為過去美國在跟其他的國家包括加拿大、墨西哥等等簽訂所謂的美加墨貿易協定的時候他會要求對方國家
transcript.whisperx[44].start 2765.569
transcript.whisperx[44].end 2769.552
transcript.whisperx[44].text 法規要符合國際核心的勞動基礎例如2019年的時候美國眾議院的議長培洛西他要求這個墨西哥必須完全建立保障勞工的權益的一個立法而且他很清楚的表示除非墨西哥的新的法令到位
transcript.whisperx[45].start 2782.521
transcript.whisperx[45].end 2786.065
transcript.whisperx[45].text 確保墨西哥勞工有組織公會的權利否則眾議院不會去審議這個協定後來墨西哥國內訂了立法然後強化勞工的權利最終美國也同意了簽署才通過這個貿易協定那我們回到今天的臺美21世紀的貿易倡議請問部長勞動部準備好了嗎?
transcript.whisperx[46].start 2804.179
transcript.whisperx[46].end 2809.523
transcript.whisperx[46].text 報告委員我們現在其實都還在協商討論當中已經開過幾次會甚至我們的同仁也到美國去師長也有過去有跟他們當面面對面的做一些討論協商部長我其實有點擔心因為去年6月完成第一段協定但7月24號的時候在立法院這邊有審查當時委員有通過了一些附帶的這個決議
transcript.whisperx[47].start 2826.815
transcript.whisperx[47].end 2836.479
transcript.whisperx[47].text 就是為其我國勞動的法規符合國際核心勞動基準還有能夠順利推動這個臺美貿易協定所以那當時請行政院三個月內邀請那個專家學者還有民間團體來進行研商盤點及檢討相關法規那因為勞動部是負責這個勞動法律主管機關所以行政院交給你們來負責找這個專家學者跟民間團體來溝通盤點相關法規那部長您記得這件事嗎?
transcript.whisperx[48].start 2852.566
transcript.whisperx[48].end 2854.247
transcript.whisperx[48].text 事業單位應加強安全衛生管理制度、作業流程及必要教育、訓練.並落實職場防災管理。
transcript.whisperx[49].start 2873.659
transcript.whisperx[49].end 2897.278
transcript.whisperx[49].text 結果你們回復說有開了三場十大核心勞動公約法規的檢視會議但是其中兩場是在之前在這個二月跟四月也就是說針對這個附帶決議你們三個月來做的就只有一件事只召開一次會議那我想了解勞動部是覺得本來的準備就已經很完整了很充足了只要再開這麼一次會議就可以來因應這個貿易談判
transcript.whisperx[50].start 2899.44
transcript.whisperx[50].end 2916.312
transcript.whisperx[50].text 國際社會福利及衛生環境委員會第11屆第1次全體委員會第2次全體委員會第3次全體委員會第4次全體委員會第5次全體委員會第6次全體委員會第7次全體委員會第8次全體委員會第8次全體委員會第9次全體委員會第10次全體委員會第11次全體委員會第12次全體委員會第12次全體委員會第13次全體委員會第13次全體委員會第14次全體委員會第14次全體委員會第15次全體委員會第15次全體委員會第16次全體委員會第16次全體委員會第17次全體委員會第18次全體委員會第18次全體委員會第19次全
transcript.whisperx[51].start 2921.736
transcript.whisperx[51].end 2946.484
transcript.whisperx[51].text 不等於這個問題是在進行中所以我們是非常關心我們來看看這三次會議當中討論哪些議題就是在符合十大的這個核心勞動公約總共涵蓋五個面向我稍微念一下禁止強迫勞動禁止工作歧視禁止同工結社自由跟集體協商的權利還有職業安全衛生那麼根據勞動部提供的資料目前只完成了兩項
transcript.whisperx[52].start 2947.944
transcript.whisperx[52].end 2948.885
transcript.whisperx[52].text 貿易貿易貿易貿易貿易貿易貿易貿易
transcript.whisperx[53].start 2961.725
transcript.whisperx[53].end 2977.362
transcript.whisperx[53].text 我談的是盤點我都還沒提到這個實質修法的層次那鄧正宗政委他去年10月有特別提到環境議題的部分他們覺得很順利那我就想請問部長勞動議題的部分我很擔心會不會因為勞動部的這個部分讓我們在貿易談判上會卡關不會
transcript.whisperx[54].start 2982.808
transcript.whisperx[54].end 2983.468
transcript.whisperx[54].text 有關勞動部主管有關勞動部主管有關勞動部主管
transcript.whisperx[55].start 2998.277
transcript.whisperx[55].end 3008.067
transcript.whisperx[55].text 綜合社會福利及衛生管理制度、作業流程及必要教育 訓練:立法院第11屆第12會期社會福利及衛生管理制度、作業流程及必要教育 訓練:立法院第12會期社會福利及衛生管理制度、作業流程及必要教育 訓練:立法院第12會期社會福利及衛生管理制度、作業流程及必要教育
transcript.whisperx[56].start 3013.493
transcript.whisperx[56].end 3020.758
transcript.whisperx[56].text 美國最在意的是遠洋漁工的權益尤其是外籍漁工我們好不容易在2019年被歐盟解除這個黃牌結果在2020年跟2022年卻被美國勞動部發布的這個同工及強迫勞動製品清單把臺灣列在其中那我們產出的漁貨被美國勞動部市委跟泰國、印尼、中國、加拿大等國報告清楚的結果就是透過壓榨漁工
transcript.whisperx[57].start 3042.834
transcript.whisperx[57].end 3070.035
transcript.whisperx[57].text 強迫勞動所得來的血汗海鮮那報告裡清楚的提到說漁工面臨哪些的遭遇包括護照被沒收長時間無法跟外界聯繫22小時不間斷的連續工作工作生活環境惡劣招肢體暴力、苛扣工資等那這個清單是每年發布一次啦所以今年下半年因為會發布2024年的報告部長你覺得今年我們還會在那個清單上面嗎
transcript.whisperx[58].start 3070.995
transcript.whisperx[58].end 3094.806
transcript.whisperx[58].text 我跟您說明一下其實遠洋漁業的這個勞工的這個主要前者機關在漁業署那我們勞動部也有針對這個問題協助他們去落實這個有關於這個漁工人權的保障那其實我記得我們有我們就是希望不要再被放到這個名單裡面所以我們其實跟就是漁業署有有針對這個
transcript.whisperx[59].start 3099.64
transcript.whisperx[59].end 3115.632
transcript.whisperx[59].text 這個他們所關心的東西我希望我們可以脫離這個名單他們有一些積極的作為其實美方也瞭解美方也瞭解我們其實也在做努力也有一些成果包括我們也跟我記得音樂署也有跟TIVA這些關心的還有
transcript.whisperx[60].start 3117.854
transcript.whisperx[60].end 3132.946
transcript.whisperx[60].text 國務院美國國務院也對台灣遠洋漁工非常關心2023年美國國務院人口販運問題報告同樣提到我們外籍漁工都經過拖欠工資身體虐待扣留食物身分證這是強制分擔船舶的運營成本就是說他們認為船主是透過這些手段強迫他們勞動部長對於這些遠洋漁工的處境你會不會於心不忍啊
transcript.whisperx[61].start 3142.333
transcript.whisperx[61].end 3161.119
transcript.whisperx[61].text 當然我們不希望這種事情發生我跟委員報告這個是遠洋漁業的近海的通通是符合勞基法那遠洋漁業的但是他們都關心啦兩個部門欸國務院跟勞動部欸對我再跟委員說明說如果近海的漁工來講都沒有問題現在是遠洋漁業的部分那這個
transcript.whisperx[62].start 3162.139
transcript.whisperx[62].end 3165.582
transcript.whisperx[62].text 全職機關、農業部的預約署也很積極在處理包括薪資我都記得我們去年要幫協助他們我希望不要成為談判協議的卡關我們都有勞動部也站在我們的專業立場協助他們
transcript.whisperx[63].start 3178.473
transcript.whisperx[63].end 3179.314
transcript.whisperx[63].text 國務院2022年人權報告提到,台灣的重建將外國工人收取
transcript.whisperx[64].start 3202.956
transcript.whisperx[64].end 3218.627
transcript.whisperx[64].text 高的招聘費、服務費而且這移工在母國也被當地的仲介在還債這是一種債務強迫勞動所以美國國務院有清楚的建議是不是希望台灣能夠取消消除向移工爭取任何費用因為目前每個月大概1500到1800三年大概6萬元但是對於這個因為經濟困難到台灣來工作的移工其實是情何以干所以我想說
transcript.whisperx[65].start 3226.232
transcript.whisperx[65].end 3229.676
transcript.whisperx[65].text 這個服務費在移工他不是強制的移工有需要服務他委託中心才需要付費但是這個服務你有很難去集合嗎他們人生地不熟大概也不敢不交
transcript.whisperx[66].start 3245.772
transcript.whisperx[66].end 3254.195
transcript.whisperx[66].text 懲罰19案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及
transcript.whisperx[67].start 3263.758
transcript.whisperx[67].end 3277.745
transcript.whisperx[67].text 最後一個就是去年有個很紅的一段台劇《八尺門的辯護人》其中有一段故事就是描述一個遠遙漁工被台灣籍船長的虐待然後扣留護照引發殺就造成不可挽回的悲劇這是參考2010年發生的這個河村61號事件我是希望勞動部的官員能夠將心比心好好對待這些來台灣服務的漁工朋友因為大家都說台灣最美的風景是人
transcript.whisperx[68].start 3288.71
transcript.whisperx[68].end 3292.796
transcript.whisperx[68].text 事業單位應加強安全衛生管理制度、作業流程及必要教育、作業流程及必要教育、作業流程及必要教育
transcript.whisperx[69].start 3318.672
transcript.whisperx[69].end 3332.426
transcript.whisperx[69].text 負責任職責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責任負責
transcript.whisperx[70].start 3340.103
transcript.whisperx[70].end 3342.204
transcript.whisperx[70].text 我請業務單位要趕快更新改進謝謝委員提醒 謝謝
transcript.whisperx[71].start 3362.972
transcript.whisperx[71].end 3371.186
transcript.whisperx[71].text 其實上禮拜我們有打去詢問所以你們已經更新了結果你們更新以後呢我又看了最新的版本
transcript.whisperx[72].start 3372.608
transcript.whisperx[72].end 3399.978
transcript.whisperx[72].text 我們有討論到說移工因為自己怕被趕出去阿強制解約阿所以逃跑嘛造成許多黑戶寶寶的產生但這個是最新版的喔這上禮拜更新完你會發現說懷孕移工的指引中文還是寫如果因為懷孕等因素無法升任工作僱主得主張終止契約英文寫得更可怕他說可以terminate your contract
transcript.whisperx[73].start 3400.698
transcript.whisperx[73].end 3405.164
transcript.whisperx[73].text 所以這跟你們這個這個不能因為懷孕而去終止任何的勞動契約啦這個是禁止歧視啊我們現在這個抱歉謝謝委員他們優待會沒有
transcript.whisperx[74].start 3420.84
transcript.whisperx[74].end 3435.56
transcript.whisperx[74].text 這個不夠這個在更新的時候可以請各位今天回去稍微看一下馬上處理我也很好奇111年、112年、113年這些剛入境的移工他們拿到的手冊是不是這個版本
transcript.whisperx[75].start 3436.533
transcript.whisperx[75].end 3463.254
transcript.whisperx[75].text 因為這是2023年1月我們那個入境講習我們針對那個移工來台我們家庭看護部我們有入境講習那個給的資料都是會是正確的那這個是網站上的可能政府當時候在處理的時候不應該發生這種錯誤啦馬上要更正啦謝謝謝謝委員的關心幫我們注意到這個疏失真的很感謝你好 謝謝再來呢因為今天是討論職災職安嘛
transcript.whisperx[76].start 3466.618
transcript.whisperx[76].end 3476.082
transcript.whisperx[76].text 我們今天有講到113年有一個口號是營造業墜落打擊元年但110年你們的口號是營造業減災加強年請問110年到113年你們這個口號的轉變有什麼特別的因素嗎
transcript.whisperx[77].start 3485.202
transcript.whisperx[77].end 3511.455
transcript.whisperx[77].text 報告委員這不是口號就是因為主要是一些策略我們針對營造業的減災我們每年都會有不同的一些策略因為營造業現在是所有的大概職災發生率最高的所以我們在這幾年比如我們在減災的時候會發現說到底哪些工作型態發生職災會最多那發現那個最弱最弱其實是一直高居這個營造
transcript.whisperx[78].start 3513.556
transcript.whisperx[78].end 3526.068
transcript.whisperx[78].text 實在事件的很重要的一個原因所以我們特別把這個挑出來就是希望在防止墜落方面能夠加強相關的策略包括我們的加強檢查加強這個警察研法等等好,那我們看一下數據
transcript.whisperx[79].start 3534.116
transcript.whisperx[79].end 3554.874
transcript.whisperx[79].text 一百一十年當時說營造業嘛營造業覺得是重大職災發生率最高的所以110年我們定義為職災加強年營造業喔但是你看111年雖然故宮的人數是下降的結果死亡的人數反而是上升的
transcript.whisperx[80].start 3556.176
transcript.whisperx[80].end 3566.856
transcript.whisperx[80].text 連製造業也是發生一樣的狀況所以是不是你們這個加強年的措施你們後來發現好像沒有什麼用所以113年又推出一個新的口號對
transcript.whisperx[81].start 3569.496
transcript.whisperx[81].end 3592.132
transcript.whisperx[81].text 我還是強調不是口號啦就是說這是一個目標我們要達成那當然像我們每年都會設定一個目標那當然像110年111年的這個這個職災人數是是增加但是我們110去年我看了業報有寫但112年其實只是回到110年的數據而已
transcript.whisperx[82].start 3596.623
transcript.whisperx[82].end 3624.348
transcript.whisperx[82].text 這個部分當然委員我們會滾動來檢討因為現在也是因為整個呃國內齁這個申請建造的那種樓具把面積都增加就可以知道說那整個很缺的建案齁多啦有時候缺工趕工都會讓這些職災的風險提高所以我們也會去檢討原因為什麼沒有達到目標我們要精進我們相關的策略我們很希望113年114年可以看到他穩定的下降好
transcript.whisperx[83].start 3626.168
transcript.whisperx[83].end 3645.43
transcript.whisperx[83].text 這次呢去年我們通過職業職災保險法嘛所以我們推出了這些職災中心等等政策所以我上網把這個影片全部都看完其實拍得很好你們花了200萬拍了幾支影片跟勞工們宣傳職災中心有哪些服務這個影片是關於呢
transcript.whisperx[84].start 3646.351
transcript.whisperx[84].end 3668.423
transcript.whisperx[84].text 一名麵包工人受傷。所以這個職災中心的各管師他協助他除了復建以外有一個很重要的亮點就是建立重建機制可以建立重建機制讓他順利的回到他原本的工作所以這個各管師就協助他申請了一個輔助設施他復建完之後呢
transcript.whisperx[85].start 3669.483
transcript.whisperx[85].end 3686.285
transcript.whisperx[85].text 有一個機器可以幫助他把東西搬上搬下讓他不會再救傷又重發啦好所以這個片裡面他都強調說有這個建立重建機制的服務也把這個當成你們宣傳的重點結果咧我們來看一下
transcript.whisperx[86].start 3688.564
transcript.whisperx[86].end 3703.444
transcript.whisperx[86].text 這是上禮拜查到的數據112年我們通過植栽中心也開始服務了以後輔助設施補助只有通過了一件但這是你們的重點項目喔
transcript.whisperx[87].start 3705.051
transcript.whisperx[87].end 3705.211
transcript.whisperx[87].text 含報告事項20案及
transcript.whisperx[88].start 3720.291
transcript.whisperx[88].end 3741.469
transcript.whisperx[88].text 我們當然要了解一下因為這個輔助設施就是說你重建之後你回到職場那你可能需要一些補助的工具那這個部分你有需求我們都可以按照我們相關新的所以是因為宣傳不夠厲害是申請的過程很繁瑣或是因為補助的金額可能雇主還是沒有辦法接受
transcript.whisperx[89].start 3742.35
transcript.whisperx[89].end 3759.435
transcript.whisperx[89].text 其實報告委員因為這個勞工發生職災他有時候是在他回到職場重建前他有一些必要的我們叫做器具補助啦那個就增加很多這個器具補助委員你可以看一下我們的
transcript.whisperx[90].start 3763.157
transcript.whisperx[90].end 3784.626
transcript.whisperx[90].text 對,1、2年喔,是608件那11、3年到現在而已喔第一季就205件所以其實這個是搭配的啦看你是需要的是那個器具補助還是這種補助設施這個影片裡面強調的是補助設施所以我想你會拍這個影片表示你注意到以前有很多人有這樣子的需求
transcript.whisperx[91].start 3785.566
transcript.whisperx[91].end 3802.592
transcript.whisperx[91].text 因為這個是法這個我們在報告通過以後新的有些過去他可能不知道他知道有這個器具補助不知道這個輔助設施所以我們是增加這個部分鼓勵說如果你有需求你就來申請不過這個部分我們再來加強
transcript.whisperx[92].start 3804.013
transcript.whisperx[92].end 3804.554
transcript.whisperx[92].text 責任責任責任責任責任責任
transcript.whisperx[93].start 3833.41
transcript.whisperx[93].end 3860.301
transcript.whisperx[93].text 您在這個2018年的時候說一定要推動勞保年改但是最近呢又說三黨要坐下來談你也知道最近蔡總統跟柯主席已經吃了牛肉麵討論到這是一個一定要解決的事情但是呢你的解凍的報告裡面寫如果這些都是大家提出來很好的意見你們就把這四個意見列出來
transcript.whisperx[94].start 3861.394
transcript.whisperx[94].end 3877.927
transcript.whisperx[94].text 但是最後的結論居然是週延規劃推動期程以確保勞工之保險給付權益這件事情我覺得上禮拜已經很多人問過啦但畢竟已經過了6年了部長你是不是應該要有一點方向跟想法
transcript.whisperx[95].start 3879.245
transcript.whisperx[95].end 3900.385
transcript.whisperx[95].text 對,包圍這一題的困難點就是說要怎麼凝聚共識包括跟勞資雙方跟各界或者三黨大家坐下來來討論看看這個改革的這個幅度方向項目等等這個都是凝聚共識那其實如果能夠共識能夠達成後面就會很快所以我們這邊才會說其實這個部分還要再
transcript.whisperx[96].start 3903.327
transcript.whisperx[96].end 3930.479
transcript.whisperx[96].text 相關的溝通跟收集相關的意見那有關於推動的期程我們會周延來規劃所以期程到現在因為 報告委現在真的期程很難去講如果大家有共識以後是很會很快如果還沒有的話當然這個期程我沒有辦法很明確的說我當時可以來上但是我想這件事情我們是非常重視的也一直請同仁在做一些研議包括所以520以前不會有期程
transcript.whisperx[97].start 3932.34
transcript.whisperx[97].end 3936.041
transcript.whisperx[97].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案
transcript.whisperx[98].start 3956.505
transcript.whisperx[98].end 3957.466
transcript.whisperx[98].text 第10屆第11屆提出草案
transcript.whisperx[99].start 3976.071
transcript.whisperx[99].end 3976.512
transcript.whisperx[99].text 臨月勤委員發言
transcript.whisperx[100].start 4010.724
transcript.whisperx[100].end 4014.106
transcript.whisperx[100].text 防災防災管理委員會委員會主席
transcript.whisperx[101].start 4026.376
transcript.whisperx[101].end 4027.257
transcript.whisperx[101].text 含報告事項20案及含報告事項
transcript.whisperx[102].start 4054.319
transcript.whisperx[102].end 4059.523
transcript.whisperx[102].text 公立幼兒園公立幼兒園公立幼兒園公立幼兒園公立幼兒園公立幼兒園公立幼兒園公立幼兒園公立幼兒園
transcript.whisperx[103].start 4080.811
transcript.whisperx[103].end 4093.377
transcript.whisperx[103].text 他已經是生病了他還要能呆在那裡他不能夠離開現場那甚至他特休假也要找人能夠代理他才能夠去特休假
transcript.whisperx[104].start 4095.046
transcript.whisperx[104].end 4123.78
transcript.whisperx[104].text 所以這是我的學生傳給我的訊息他是一個任職在幼兒園的幼教人員因為身體不適可是還是沒有辦法而年休假的時候還要找到人才可以去休假這個是多麼不友善的職場環境如果老師這樣不被善待他怎麼可能照顧好小孩可是我們這幾年也我們的政府的政策要讓孩子能夠進入到托育現場裡面可是照顧他的人是這群老師他就沒有被好好的對待
transcript.whisperx[105].start 4124.961
transcript.whisperx[105].end 4128.823
transcript.whisperx[105].text 有關勞動部主管預算凍結案21案及有關勞動部主管預算凍結案21案及有關勞動部主管預算凍結案21案及有關勞動部主管預算凍結案21案及
transcript.whisperx[106].start 4152.711
transcript.whisperx[106].end 4167.626
transcript.whisperx[106].text 那在這樣的狀況底下這麼惡劣的環境甚至今天要離職也離不了職為什麼因為僱主跟他講說如果要離職的話你7月還沒到你就要罰20萬這時有所聞每次學生都會來跟我求助這些事情
transcript.whisperx[107].start 4169.002
transcript.whisperx[107].end 4196.558
transcript.whisperx[107].text 所以也想問的是就是說我們總共8223家的幼兒園跟托嬰中心可是你在你只查了501家大概6%所以想問一下怎麼定出這個6%依據是什麼要勞動檢查才知道這些在現場的人他到底有沒有被友善對待是靠勞檢所以想問一下你的依據是什麼
transcript.whisperx[108].start 4198.544
transcript.whisperx[108].end 4219.131
transcript.whisperx[108].text 報告委員吼那個我們每年的那個專案講因為也是委於我們的勞檢人力啦吼因為其實各行各業高風險高違規的吼然後這個我們都吼要去查每年勞檢都是就是這樣嗎沒有啊我們會有針對一些吼可能就是曾經有不良記錄的吼或者這個有
transcript.whisperx[109].start 4221.673
transcript.whisperx[109].end 4247.031
transcript.whisperx[109].text 申訴案件,我們會列入專案檢查對象。部長,如果大人的現場還OK,可是照顧孩子的現場,如果這麼不友善的話,我說難怪我們會時有所聞說老師對孩子不當對待而虐的狀況發生,那因為老師就沒有好好的被對待,所以我不知道這6%你的依據到底會是什麼?是不是可以去思考一下這個狀況?
transcript.whisperx[110].start 4249.212
transcript.whisperx[110].end 4274.909
transcript.whisperx[110].text 委員這個部分我請那個治安署這邊來檢討就是說在專案檢查的比例上比例上我們是不是把這個幼兒園的部分再來提高我覺得這個是可以檢討的你的勞動檢查員的專業知識可能也要提升為什麼這麼講就是這事實上是收到的公文因為有幼兒園他去申訴之後然後就有人來勞檢那勞檢照理來講
transcript.whisperx[111].start 4281.646
transcript.whisperx[111].end 4295.649
transcript.whisperx[111].text 針對這個勞動檢查案例來講工時工資休假休息跟放假這些都不是應該是雇主可以違反的項目可是很遺憾的是這還是幼教人非常困擾的因為中午這個午休時間那
transcript.whisperx[112].start 4298.33
transcript.whisperx[112].end 4316.023
transcript.whisperx[112].text 當他去申訴的時候竟然是勞工出勤的紀錄是雇主所納入勞檢的項目可是今天要問的是可是重點是他們能夠要提出證據竟然是誰要提出證據是勞工要提出證據怎麼會是勞工要提出這個證據來給因為舉證在勞方這公文很顯示的是舉證在勞方不是在資方
transcript.whisperx[113].start 4330.279
transcript.whisperx[113].end 4355.781
transcript.whisperx[113].text 這個基本上我們去勞檢這個證據的就是這些初請實際的初請請醒的記錄是要由僱主來提供可是這是你們勞動檢察員今天寫出來公文是這樣子的話那怎麼會是要要要要那個勞方來提供不是資方因為要舉證嘛所以我根本都沒有休息啊那可能是可能是僱主提出來的
transcript.whisperx[114].start 4357.682
transcript.whisperx[114].end 4384.261
transcript.whisperx[114].text 紀錄跟勞工實際情形有落差所以為了要理清楚那勞檢員當然會要求說這樣落實4小時休息30分鐘現在是幼教人最大的訴求所以在這邊我們要很嚴肅的講幾乎所有的私營幼兒園在中午休息時間都必須陪著孩子睡覺跟勞動基準法的規定事實上是相反的
transcript.whisperx[115].start 4385.646
transcript.whisperx[115].end 4390.588
transcript.whisperx[115].text 防災管理制度、作業流程及必要教育 訓練:一、事業單位應加強安全衛生管理制度、作業流程及必要教育 訓練:一、處理中華民國11案及必要教育
transcript.whisperx[116].start 4409.875
transcript.whisperx[116].end 4434.562
transcript.whisperx[116].text 施幼做輔導﹖這個不知道部長同意嗎?好,可以。各位報告,其實我們針對這個中午休息這個幼兒園的部分,我們在1月25號有開,今年1月25有開過會議,後續還會再開,就是有關於這個幼兒園的勞工的相關權益的問題,尤其牽涉到您剛剛講的休息時間這個部分,我們會再做一些討論。
transcript.whisperx[117].start 4435.402
transcript.whisperx[117].end 4446.373
transcript.whisperx[117].text 上幼兒園有人力比的問題所以勞動密度就我們去上勞檢的時候檢查的項目裡邊基本上
transcript.whisperx[118].start 4447.088
transcript.whisperx[118].end 4471.33
transcript.whisperx[118].text 去查的是勞動基準法就業服務法勞工保險條例那勞工職業災害保險跟保護法和勞工退休金條例這些法規都有去做檢查可是沒有去看這個勞動密度私生比如果不符合的話這也是他的勞動條件所以一個老師帶22個小孩跟法規規定他一個老師帶15個小孩現在目前就已經過度負擔甚至有
transcript.whisperx[119].start 4472.551
transcript.whisperx[119].end 4472.711
transcript.whisperx[119].text 休息這一塊。
transcript.whisperx[120].start 4497.583
transcript.whisperx[120].end 4525.742
transcript.whisperx[120].text 然後是不是針對於這個密度勞動密度比較高的也能夠去納入檢查的項目報告委員因為有關於那個師生筆那種人力配置他的權責是在教育主管機關所以他是他的稽查項目但不是我的勞檢項目因為權責有各有劃分但是我們其實在檢查的時候發現有這種情形就應該要反映給教育主管機關
transcript.whisperx[121].start 4527.063
transcript.whisperx[121].end 4531.087
transcript.whisperx[121].text 這個部分我們會來加強就是我們去講答如果發現這個私生筆像剛剛委員講的這個跟原來規範已經差太多了
transcript.whisperx[122].start 4542.639
transcript.whisperx[122].end 4559.871
transcript.whisperx[122].text 這個我們會會呈給這個教育主管機關那就是請你們再跟教育部討論完之後會後把書面資料回覆我們辦公室然後也請勞動部不要看我是新科立委就糊弄我因為很多東西都我要的時間點大概都沒按照那時間點給我
transcript.whisperx[123].start 4562.045
transcript.whisperx[123].end 4562.365
transcript.whisperx[123].text 二、處理中華民國11案及
transcript.whisperx[124].start 4583.822
transcript.whisperx[124].end 4607.419
transcript.whisperx[124].text 同仁在聯繫上應該要主動的去說明說有什麼原因沒有辦法在這個時候提供我想委員也會能夠諒解但是絕對沒有對委員任何不敬我們一定是就麻煩因為我覺得我們要資料因為也有考慮到我們整個案子的那個期程所以麻煩以上謝謝這個我會折騰任務單位要注意謝謝林月琴委員
transcript.whisperx[125].start 4611.806
transcript.whisperx[125].end 4613.988
transcript.whisperx[125].text 接下來請邱正鈞委員發言主席好 我們有請勞動部請許部長邱委員好部長好我請問一下就是高雄我們被媒體稱為公安之都
transcript.whisperx[126].start 4640.953
transcript.whisperx[126].end 4668.899
transcript.whisperx[126].text 您覺得誰要負最大的責任?高雄市政府還是勞動部?我想有關於勞工的安全問題都是中央跟地方要一起來面對然後一起來處理一起來強化之前我記得你們的SOP的回答是中央是監督的責任地方是執行是不是這樣?
transcript.whisperx[127].start 4671.732
transcript.whisperx[127].end 4674.113
transcript.whisperx[127].text 所以你們一碰到高雄的時候你們中央就願意扛責任我覺得這很奇怪還是有顏色之分
transcript.whisperx[128].start 4697.199
transcript.whisperx[128].end 4699.001
transcript.whisperx[128].text 一來一直以來都是這樣沒有顏色之分
transcript.whisperx[129].start 4723.021
transcript.whisperx[129].end 4731.006
transcript.whisperx[129].text 家風旅業的爆炸,兩名移工死亡,三名移工及三名本國勞工不同程度的燒燙傷。你知道業者怎麼說嗎?陳其邁市長怎麼說?您知道嗎?你說陳市長怎麼說?對啊,業者怎麼說?業者喔?他的回答是什麼?
transcript.whisperx[130].start 4747.726
transcript.whisperx[130].end 4775.625
transcript.whisperx[130].text 廠方是說當時在進行灌模作業,疑似因為控制系統異常降溫水量不足,才會導致後續接觸高達700度的鋁水石發生爆炸我們陳市長也說水量控制器的故障引發大量的鋁液外洩然後洩漏到蓄水石而造成爆炸所以我覺得這兩個講法都不太一樣
transcript.whisperx[131].start 4777.186
transcript.whisperx[131].end 4783.933
transcript.whisperx[131].text 我們都知道高溫率碰到水的時候會爆炸這個國二的時候我們學校就有教了這個業者從76年設立到現在會不知道嗎?
transcript.whisperx[132].start 4790.113
transcript.whisperx[132].end 4814.44
transcript.whisperx[132].text 因為這個實際發生的原因目前都還在調查當中那除了他們高雄市的勞檢處以外那我們南區治安中心也協助在個案來釐清對阿他爆炸原因還在檢檢還在調查嘛對不對那消防鑑定都還沒出來勞檢報告也還沒做高雄市勞工局就依照職業安全衛生實施規則第180條就已經先開罰了
transcript.whisperx[133].start 4820.663
transcript.whisperx[133].end 4821.324
transcript.whisperx[133].text 一般的作業流程是
transcript.whisperx[134].start 4837.177
transcript.whisperx[134].end 4858.867
transcript.whisperx[134].text 這樣災害發生我們要做細部調查分析,調查分析要確定它直災的基本原因跟職業原因跟監獄原因之後還做後續的裁罰跟處置那當然媒體會詢問案子的概況跟後續可能罰的狀況所以應該是地方政府針對目前這個個案先做初步的說明整個行政程序還是依照標準作業流程來進行
transcript.whisperx[135].start 4861.379
transcript.whisperx[135].end 4874.543
transcript.whisperx[135].text 你們今年1月的時候村安檢查報告這個還有螺絲有沒有栓緊你們都會看那這會造成大爆炸的環境問題我們3年檢查14次的都沒有發現嗎?這是大家這一場
transcript.whisperx[136].start 4879.189
transcript.whisperx[136].end 4890.395
transcript.whisperx[136].text 這場的部分其實我們之前去做他們之前高雄市去做了檢查我所瞭解就是好像就是針對那個教育訓練不足還有堆高機的但是好像沒有
transcript.whisperx[137].start 4893.246
transcript.whisperx[137].end 4919.946
transcript.whisperx[137].text 就是針對這個因為這個如果像他們所講是那個水降溫的控制系統故障那這個就是應該是平常在這個因為你們每一年都有這個勞動的檢查方針嘛總共有19頁那每一年呢這個都有這個方向這個檢查的一個做法那你們的報告都是複製貼上
transcript.whisperx[138].start 4921.633
transcript.whisperx[138].end 4927.883
transcript.whisperx[138].text 然後都沒有去追蹤,然後就隨便做嗎?沒有。碰到意外的時候再來檢討?沒有沒有。
transcript.whisperx[139].start 4928.757
transcript.whisperx[139].end 4956.482
transcript.whisperx[139].text 我們其實每年所檢查的那個都會追蹤那也會去做複查然後做原因的分析之後看看後續如何來強化相關的檢查策略部長我說家豐鋁業爆炸跟小港海光電廠的這個搬運爐渣引水蒸氣爆炸這個氣爆還有民洋大火都是一個縮影那我想我們
transcript.whisperx[140].start 4958.223
transcript.whisperx[140].end 4983.662
transcript.whisperx[140].text 要把這個勞檢做得確實一點不要讓業者存有僥倖的心態好嗎請部長這邊多加強那另外我還有一個問題就是說我們移工的問題是世界的一個趨勢那根據日本國際協力機構預測日本必須在2040年前將外國的移工數量從目前的205萬人增加到674萬人
transcript.whisperx[141].start 4988.188
transcript.whisperx[141].end 5007.663
transcript.whisperx[141].text 那五年內要把技術勞工簽證移工增加一倍超過八十萬人那面對日本搶人大作戰目前我國的政策我們的政策移工留才久用為主那我們有沒有準備要檢討跟進這個部分其實日本跟進我們
transcript.whisperx[142].start 5009.011
transcript.whisperx[142].end 5034.23
transcript.whisperx[142].text 他是把實習生轉成中階技術人力就是我們移工在前面那現在的問題是他們現在擴大嘛對不對那是不是我們到時候會不會招不到人或者是我們的人才流失我現在的重點在這裡不是誰學誰的問題啦因為我們我跟委員報告齁我現在那個中階技術人力就移工流財九二方我們其實成效非常好
transcript.whisperx[143].start 5035.12
transcript.whisperx[143].end 5056.478
transcript.whisperx[143].text 我現在已經到二月底就補兩萬五千多人了所以部長你認為就是說不需要去管他?不是不需要管他我的意思是說你自己很有信心我們的人不會被拉走就對了第一個我要跟委員說明喔我們移工留在九龍我相當有信心齁我一定會打掉萬一真的到時候跑掉勒?不會阿第二個齁你確定不會啊?不是
transcript.whisperx[144].start 5058.305
transcript.whisperx[144].end 5064.307
transcript.whisperx[144].text 對我們自己的政策很有信心,就是說我們有信心讓這些技術移工不會被拉走,人才不會流失。
transcript.whisperx[145].start 5079.077
transcript.whisperx[145].end 5107.557
transcript.whisperx[145].text 應該我們有因為他願意轉就是他我今天提出這個問題我是希望我們勞動部也是要多關注這個問題不要讓事情發生的時候我們再來解決我們現在就是一個那個移民跟人口政策就是國發會跟其他五個部會一起我們定時的在檢討包括移工政策也是裡面的重要的項目之一所以這個我們都會隨時去關注好
transcript.whisperx[146].start 5108.513
transcript.whisperx[146].end 5117.812
transcript.whisperx[146].text 我記得之前有提到一個叫做新經濟移民法這個部分我們有沒有在討論要讓它復活新經濟移民法的權責機關是在國發會
transcript.whisperx[147].start 5121.285
transcript.whisperx[147].end 5141.784
transcript.whisperx[147].text 當時是好像勞動部反對嗎?是吧?沒有沒有我們沒有反對阿他那時候就是應該那我們對於對於這種議題我們有沒有準備一個一個做法或者是把這個新規移民經濟移民法把它完成他後來是用攬財專法他原來是新規移民法可是後來因為
transcript.whisperx[148].start 5143.594
transcript.whisperx[148].end 5147.896
transcript.whisperx[148].text 二、處理中華民國11年度中央政府總預算凍結案21案及二、處理中華民國11年度中央政府總預算凍結案21案及
transcript.whisperx[149].start 5173.395
transcript.whisperx[149].end 5178.001
transcript.whisperx[149].text 事業單位應加強安全衛生管理制度、作業流程及必要教育 訓練:一、邀請勞動部部長就:「事業單位應加強安全衛生管理制度、作業流程及必要教育 訓練:一、處理中華民國11
transcript.whisperx[150].start 5195.106
transcript.whisperx[150].end 5216.696
transcript.whisperx[150].text 六人好徐部長你好部長那個職安署啊跟前年成立的職災預防及重建中心的業務有沒有重疊之處不一樣不一樣對好那職災預防及重建中心打算在高雄設立職業健康及重建之家新聞報導說最快113年請問部長現在這個計畫的進度到哪裡何時會完成報告委員我們本來
transcript.whisperx[151].start 5223.874
transcript.whisperx[151].end 5231.982
transcript.whisperx[151].text 原先是大概這個月要開始做一個裝修結果發現那個陳朱的房子是歷史建築
transcript.whisperx[152].start 5233.628
transcript.whisperx[152].end 5257.148
transcript.whisperx[152].text 所以現在因為歷史建築他在裝修的程序上比較麻煩所以我們現在這個先暫停另外在另密新址也有先找到兩個點那請問一下這個設置我們重建之家最主要想要達成什麼樣的目的您可不可以簡單的講我們希望就是在這個我們的勞工重建的這個部分能夠給予更專業
transcript.whisperx[153].start 5259.47
transcript.whisperx[153].end 5274.118
transcript.whisperx[153].text 工作重建重返職場工作重建希望給予更多資源協助所謂更多的資源協助目前已經有36家職能復健的專責醫院20家強化訓練機構還有22個縣市政府的職災個案管理專業服務人員還有管理服務資訊系統也有連結勞發署的職業訓練
transcript.whisperx[154].start 5285.865
transcript.whisperx[154].end 5307.084
transcript.whisperx[154].text 就業服務職業輔導評量的系統所以勞工如果有需要可以直接透過這個系統轉介跟追蹤現有的機制醫院訓練機構都有連之後的職業訓練就業輔導系統都有系統連結請問哪裡不足報告委員因為這個部分我們是希望有從因為
transcript.whisperx[155].start 5309.229
transcript.whisperx[155].end 5327.66
transcript.whisperx[155].text 高雄是屬於勞工比較多的地方像建立這個重建之家他主要是針對在工作的重建希望是一個專責的直接專責的單位來直接來協助那剛剛所講的那個部長那你剛剛說到在高雄
transcript.whisperx[156].start 5328.36
transcript.whisperx[156].end 5345.658
transcript.whisperx[156].text 但是你看高雄看這個用這個重建之家不過我看勞動部的資料36家專責醫院中高雄的專責醫院就有5家也是各縣市之冠訓練機構也有一家所以資源並不稀缺喔並不缺所以設立這個重建之家主軸是什麼
transcript.whisperx[157].start 5346.418
transcript.whisperx[157].end 5348.72
transcript.whisperx[157].text 我請問你這個評估有沒有評估的依據或標準?
transcript.whisperx[158].start 5373.373
transcript.whisperx[158].end 5381.798
transcript.whisperx[158].text 然後你預計要花多少錢?服務多少人數?報告委我們這個有當然有我們重建中心這邊有經過討論有專業的一些評估不過你剛問的那些數據我在是不是會後再提供給您
transcript.whisperx[159].start 5389.775
transcript.whisperx[159].end 5404.094
transcript.whisperx[159].text 好我只是覺得很好奇為何不善用現行指定的專責機構如果資源不足就邀請多一些醫院跟機構來評鑑多增加一些指定醫院機構讓這些醫院跟機構都可以就近服務不是更好
transcript.whisperx[160].start 5404.755
transcript.whisperx[160].end 5430.245
transcript.whisperx[160].text 那你特別在成立這個東西對我們來講它就是一個疊床架屋因為你講的都講不清楚說它到底跟現有的機制有什麼很不一樣的地方或是你可以補足哪些現有不足的地方所以現有機制如果都可以處理為什麼要浪費公帑去蓋一個文資館甚至是你也講不出來到底你要花多少錢要服務多少人沒有蓋啦就是說先成豬然後去把這個
transcript.whisperx[161].start 5431.618
transcript.whisperx[161].end 5460.176
transcript.whisperx[161].text 重建之家針對職災勞工在工作上重建所需要的一些協助我們在這個重建之家來提供我懂但是你講的都很像空話就是沒有很具體的回答說到底跟現有機制你可以補足哪些地方委員我們再做一些分析給你啦因為這些都蠻專業的我應該讓專業的人來提供提供相關的報告說明給我本席好嗎
transcript.whisperx[162].start 5462.353
transcript.whisperx[162].end 5488.05
transcript.whisperx[162].text 部長勞動部所屬的勞研所就是會發出公安警訊而且還配置了專門的官網頁面把最新的因應時節變化之下最有可能的種種各類的公安風險來對外發布請問部長如果企業、工廠和這些事業單位如果有注意到我們勞動部所發布中央的公安警訊是否就能夠降低職災的發生機率
transcript.whisperx[163].start 5490.583
transcript.whisperx[163].end 5493.384
transcript.whisperx[163].text 公安警訊除了放在所屬的官網上還有沒有其他的宣傳或宣傳管道呢?
transcript.whisperx[164].start 5522.667
transcript.whisperx[164].end 5541.41
transcript.whisperx[164].text 現任委員的指導我們大概一般就是在官網以外對不對那我們像跟治安署的配合或是說像縣政府的一些配合我們在宣導會的時候對不對都會提供這些相關的資訊給他們作為那個腳本這樣所以你們會請那個縣市政府幫忙宣傳對對會宣導會都會他們會來跟我們要資料OK
transcript.whisperx[165].start 5544.121
transcript.whisperx[165].end 5569.469
transcript.whisperx[165].text 好那這個所以也就是說我可以確定就是說除了事業單位之外地方政府的勞動局處或是勞檢單位會應照你們的這個公安的警訊然後他也會要求去幫忙宣傳對嗎也應該也要幫忙宣傳對不對對對好那甚至針對那有沒有甚至要針對中央所預警的產業去加強勞檢的頻率或是增加勞檢的內容呢
transcript.whisperx[166].start 5574.619
transcript.whisperx[166].end 5588.691
transcript.whisperx[166].text 有關這個水蒸氣爆炸預防的部分是國內外都當作是個滿重要的爆炸預防的一個機制那這個這次這個個案看起來已經營業很多年那天早上的製程發生狀況產生直接是
transcript.whisperx[167].start 5589.351
transcript.whisperx[167].end 5590.051
transcript.whisperx[167].text 預警的產業會加強勞動的頻率嗎?
transcript.whisperx[168].start 5609.779
transcript.whisperx[168].end 5633.332
transcript.whisperx[168].text 那本席看到我們的勞動及職業安全衛生所研究所在2022年的10月有發布一個預防熔融高熱物相關作業與水接觸引起水蒸氣爆炸的公安警訊那他還提醒了大家這樣子的熔融高熱物相關作業中的熔融鋁等他的作業環境常常附近會
transcript.whisperx[169].start 5634.272
transcript.whisperx[169].end 5660.784
transcript.whisperx[169].text 常常會出現非預期的積水或是金屬碎片中含有水分如果操作不順或機械故障以致熔融高熱物與水接觸則水就會快速的加熱氣化體積會急速的膨脹約1700倍引起物理性的水蒸氣爆炸而且它威力很大會引發更大範圍的火災喔那麼我想要請問部長這則公安警訊有沒有給各個地方政府
transcript.whisperx[170].start 5664.742
transcript.whisperx[170].end 5690.867
transcript.whisperx[170].text 這個公安警訊是因為因應那個國外有一些相類似的案例沒有你就回答我有沒有給嘛因為你剛剛是說有嘛對不對剛剛你前面的回答是說你們這些公安警訊是有各個地方政府縣市政府都有講嘛對不對所以地方政府剛剛照你們的講也有義務要宣導或者依據這份警訊去修改這個產業的勞檢項目請教部長高雄有沒有去修改勞檢項目公安警訊發布後高雄市的勞工局有沒有去宣導
transcript.whisperx[171].start 5692.113
transcript.whisperx[171].end 5710.565
transcript.whisperx[171].text 以及高雄市政府這兩年有沒有針對鋁這個產業去勞檢?有嗎?這個我們可能要進一步了解高雄市政府的部分好部長我跟你講一個地方就看到你們根本沒有盡到督導責任而且我們的高雄市政府的這個勞工局也是螺絲吊滿地
transcript.whisperx[172].start 5712.233
transcript.whisperx[172].end 5736.025
transcript.whisperx[172].text 你們勞動部勞研所並非隨便亂發公安警訊所以我想你也不會否認你下屬單位的用心研究但是你知道高雄市政府連最基本的轉資宣導責任都沒有落實嗎部長你看喔事實上高雄市政府為了應付中央為了讓中央知道高雄市有在做所謂的表面上的公安警訊分工宣導不過只是開了專門頁面之後實際上卻已經從2022年開始都停擺至今了
transcript.whisperx[173].start 5741.601
transcript.whisperx[173].end 5762.168
transcript.whisperx[173].text 有沒有進到監督的職責?你們是沒有的。甚至在過去,高雄市政府也沒有如實的把勞動部職安所的公安檢訊帶到地方來發布。請問部長,高雄市政府因此是不是要在這次加封旅業二死六傷的悲劇中,確實就是有該宣導而未宣導的行政責任?
transcript.whisperx[174].start 5763.268
transcript.whisperx[174].end 5782.347
transcript.whisperx[174].text 報告委員這個部分我可能要進一步再瞭解因為他這個網頁雖然沒有這個顯示出來但是他實質上有沒有去做宣導這恐怕都還做講習但是他的公安警訊應該就是一個對全國公布的地方嘛對不對那如果連這個地方都沒有做到是不是也是一個
transcript.whisperx[175].start 5783.287
transcript.whisperx[175].end 5799.439
transcript.whisperx[175].text 問題呢?報告委員,所以這個要了解一下,因為平常這種公安的這些做掌握獎刑就代表你平常沒有經到督導之責囉因為高雄市放水難道你們勞動部也要佛系把關嗎?這麼重大的公安職災中央跟地方都沒有人負責嗎?
transcript.whisperx[176].start 5801.918
transcript.whisperx[176].end 5805.4
transcript.whisperx[176].text 從星期五發生到現在,我想請問,那我想請問勞動部是不是應該要專案督導一下我們高雄市政府呢?你以前也當過高雄市政府的副市長
transcript.whisperx[177].start 5823.666
transcript.whisperx[177].end 5843.404
transcript.whisperx[177].text 請問高雄市你在任職期間高雄市政府的職業安全措施有這麼鬆散嗎?不會啦因為報告委員我們其實勞動部我們這個檢查機關跟地方政府之間都有監督檢查的基礎沒有我想要提醒你這個東西就是公開資訊大家隨時上網都可以看得到的東西但是我的意思是說你
transcript.whisperx[178].start 5844.626
transcript.whisperx[178].end 5863.281
transcript.whisperx[178].text 這樣重大的職災如果都沒有人要下台負責難道勞動部跟高雄市政府今天也是要今天公祭明天旺祭嗎?我想要提醒你的是這個因為明明就已經做了這麼好的公安警訊結果居然還發生這種悲劇我覺得我真的很替這二死六傷感到很難過
transcript.whisperx[179].start 5866.277
transcript.whisperx[179].end 5883.943
transcript.whisperx[179].text 好最後一個部長我只是想要儘速的在幫我們的這個最近我們的央行升息喔勞動部有開辦多項的政策性貸款例如我們的微型創業鳳凰貸款還有我們就業保險失業者創業貸款和失業中高齡者及高齡者的創業貸款喔
transcript.whisperx[180].start 5885.143
transcript.whisperx[180].end 5912.237
transcript.whisperx[180].text 那這些政策性的貸款也都有採寄到中華郵政股份有限公司兩年期的這個定期儲金機動利率的計算這也代表著會受到這次升息的影響然後我們的行政院副院長在3月22號有召開跨部會議決議由政府全額補貼這個相關的升息的利息但是我發現剛剛這三項有關於勞工的政策性貸款都沒有納入裡面
transcript.whisperx[181].start 5913.854
transcript.whisperx[181].end 5924.025
transcript.whisperx[181].text 所以我在想你們是不是要跟行政院爭取因應升息衝擊的利息補貼或者是勞動部內部另外辦理因應升息衝擊的還款展言可以嗎
transcript.whisperx[182].start 5926.66
transcript.whisperx[182].end 5953.502
transcript.whisperx[182].text 這個部分其實因為這個勞工紓困貸款主要是那時候針對疫情期間受影響的勞工因為那時候影響最大所以在所有的升息裡面已經升了五次了已經五次其實我們就補貼了四次就是針對那個因為疫情受影響特別他應該特別艱困那其他的其實這些貸款他們是影響很低這個都有充分評估過
transcript.whisperx[183].start 5954.704
transcript.whisperx[183].end 5960.897
transcript.whisperx[183].text 因為這些補貼其實平常就有補貼他們所以對他們這個升息的影響是比較小的
transcript.whisperx[184].start 5961.806
transcript.whisperx[184].end 5985.547
transcript.whisperx[184].text 好那我可以請本席再請您回去再重再一次討論一下因為他們都是比較弱勢的勞工是不是可以如果你說影響不大那是不是給納入這一次的補貼的方案裡面呢對這個像委員那個像那個剛剛您講的那個鳳鴻創業齁他一年喔一年才像這樣的升息辦法他增加869塊而已一年才增加
transcript.whisperx[185].start 5986.067
transcript.whisperx[185].end 6010.918
transcript.whisperx[185].text 一年是那因為行政院副院長也是跨部會召開了會議說希望由政府全額補貼嘛如果你說在討論的時候都有先評估是不是我打岔一下是不是請部長會後再向委員說明溝通那如果是不是提供資料給我們兩位委員好謝謝謝謝主席謝謝部長好接下來請蘇清泉委員發言
transcript.whisperx[186].start 6021.352
transcript.whisperx[186].end 6023.574
transcript.whisperx[186].text 事業單位應加強安全衛生管理制度、作業流程
transcript.whisperx[187].start 6038.731
transcript.whisperx[187].end 6053.518
transcript.whisperx[187].text 來上次我有問剛剛很多委員提高雄這個鋁爆炸又是20、6傷凍結、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍、冰凍
transcript.whisperx[188].start 6057.17
transcript.whisperx[188].end 6075.422
transcript.whisperx[188].text 我們屏東縣的職災你看4.196 4.196全國第一名那個高雄市我看也還不錯也是蠻高的阿你做過高雄市的副市長阿現在做勞動部長阿想要高雄屏東那樣常常出事你講一下好不好是到底
transcript.whisperx[189].start 6082.199
transcript.whisperx[189].end 6110.425
transcript.whisperx[189].text 到底是你們自己要開發生什麼事你們是有在教育嗎有在輔導嗎你們勞動部有沒有聘請學者專家去幫他們尤其這些高危險的這些行業你們是怎麼處理還是只會去罵人只會去開餐有其實我們平常除了透過那個勞檢以外那也有針對這些高風險的這些行業有平常有一些
transcript.whisperx[190].start 6112.835
transcript.whisperx[190].end 6127.048
transcript.whisperx[190].text 經濟部有一個總體檢合作我們也都會去做一些宣導說明然後讓大家對這個職災的這個怎麼落實自主管理這個部分要怎麼來提升這個其實都有在做
transcript.whisperx[191].start 6128.308
transcript.whisperx[191].end 6147.905
transcript.whisperx[191].text 因為你們如果專家去看看到這些高危險的化工廠這些東西有可能會爆炸的你們一看看到問題就要趕快加強輔導該區隔的要區隔不要像像民洋公司辦公室、工廠、儲存廠全部和在一起
transcript.whisperx[192].start 6149.943
transcript.whisperx[192].end 6152.525
transcript.whisperx[192].text 二、處理中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[193].start 6170.814
transcript.whisperx[193].end 6180.626
transcript.whisperx[193].text 連鑿機的工程複雜高鐵也會出問題所以這個是很危險的所以我這裡要要求的就是說
transcript.whisperx[194].start 6182.229
transcript.whisperx[194].end 6194.925
transcript.whisperx[194].text 這些化學工廠、這些理業工廠這些會爆炸的、容易火災的你們要總體檢啊你們絕對有這個能力嘛總體檢的時候要給他輔導啊該開單的開單但是要輔導讓他不要發生事情
transcript.whisperx[195].start 6200.973
transcript.whisperx[195].end 6203.955
transcript.whisperx[195].text 二、處理中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[196].start 6223.266
transcript.whisperx[196].end 6237.716
transcript.whisperx[196].text 一年賺5.9億那你去開單開個20萬開個30萬然後呢你們去給他查了18次然後有9次給他開單總共加一加二給他算一算剛才給他花50萬
transcript.whisperx[197].start 6239.673
transcript.whisperx[197].end 6241.214
transcript.whisperx[197].text 有關勞動部主管預算凍結案21案及
transcript.whisperx[198].start 6254.622
transcript.whisperx[198].end 6255.903
transcript.whisperx[198].text 所以已經到少過一次了
transcript.whisperx[199].start 6274.44
transcript.whisperx[199].end 6301.957
transcript.whisperx[199].text 那這樣像這些像屏東也有履業履定的我都去參觀過高雄這個這個是一發生就是爆炸高溫火災然後就死人我們不希望這種事情又再發生兩個禮拜前幫你質詢現在又發生高雄這個聽起來是很難聽的那這個是高壓氣體的工作場所還是窩裡窩爐的工作場所
transcript.whisperx[200].start 6305.616
transcript.whisperx[200].end 6319.167
transcript.whisperx[200].text 公務員報告這個場沒有鍋爐但是有兩個高壓氣體設備都是經過定價合格的這個案子目前我們初判因為還要現場實際的做嚴格分析調查才可以知道是造災原因那初判是一個他的
transcript.whisperx[201].start 6319.827
transcript.whisperx[201].end 6333.599
transcript.whisperx[201].text 他處理系統裡面的降溫的噴水措施造成了故障所以他變成鋁翼變得沒有固定化就到到冷水水池所以這個細節部分還是現場在做經驗了解所以不是鍋爐本體或是壓力本體的問題是
transcript.whisperx[202].start 6334.81
transcript.whisperx[202].end 6354.752
transcript.whisperx[202].text 我們醫療院所對於這個尋根追根之旅我們做得很落實那是因為衛生衛生部他會找學者專家來輔導你們那你有問題丟出來他們會幫你一起解決那我看勞動部有沒有這個機制還有沒有這個能力還是不想做
transcript.whisperx[203].start 6356.201
transcript.whisperx[203].end 6377.242
transcript.whisperx[203].text 這個工廠當然是非常多啦但是齁你們一定要把這些高危險性的一而再再而三的去去掃描去檢查我覺得花錢只是一個末端的事情前面預防可能比較重要那工廠真的都分不清交也交不會那就叫他停工好了啦
transcript.whisperx[204].start 6378.274
transcript.whisperx[204].end 6399.092
transcript.whisperx[204].text 不然那是很可怕的 職災那麼多 誰受得了好不好 部長那剛剛我們廖委員問 這個職責是勞動部的職責還是地方政府的職責啊你做個工是有一定 像工這間這樣你是喪 喪在扶植 沒人扶植啊送來撒棄
transcript.whisperx[205].start 6404.979
transcript.whisperx[205].end 6425.105
transcript.whisperx[205].text 關於職災的事情平常的執行當然在地方政府我們勞動部不僅監督也會協助就是說職災的預防或者職災的處理都是中央地方一起來合作不管哪個地方
transcript.whisperx[206].start 6425.145
transcript.whisperx[206].end 6426.885
transcript.whisperx[206].text 第二個問題我要講外送員因為COVID-19的時候外送非常非常的興旺現在已經
transcript.whisperx[207].start 6448.666
transcript.whisperx[207].end 6470.933
transcript.whisperx[207].text 維修 但是很多年輕人還是在做這個那這個錢就從一個單從68塊變成40塊然後現在降到20幾塊那收入又變少然後工作就拉長那就產生事故屏東今天各位就二十九間發生事故什麼事?就手啊
transcript.whisperx[208].start 6473.434
transcript.whisperx[208].end 6479.3
transcript.whisperx[208].text 再三十幾人受傷,像這種你們現在這些外送員你們有沒有幫他輔導
transcript.whisperx[209].start 6481.075
transcript.whisperx[209].end 6506.603
transcript.whisperx[209].text 我們缺工、缺人才、缺那麼多我是覺得做這種外送員實在是那主要藝工也很辛苦的你有那個幫人輔導、執訓讓他們去更好工作嘛其實報告委我們都希望這個非典的工作我們都希望他還是回到正常的職場來啦所以他有任何執訓的要求專業需要提升我們都有機制有計畫可以幫忙他都沒有問題
transcript.whisperx[210].start 6507.483
transcript.whisperx[210].end 6520.751
transcript.whisperx[210].text 綜合法規則第11屆議員委員會主管預算凍結案21案及綜合法規則第11屆議員委員會主管預算凍結案21案及綜合法規則第11屆議員委員會主管預算凍結案21案及綜合法規則第11屆議員委員會主管預算凍結案21案及綜合法規則第11屆議員委員會主管預算凍結案21案及綜合法規則第11屆議員委員會主管預算凍結案21案及綜合法規則第11屆議員委員會主管預算凍結案21案及綜合法規則第11屆議員委員會主管預算凍結案21案及綜合法規則第
transcript.whisperx[211].start 6532.458
transcript.whisperx[211].end 6534.221
transcript.whisperx[211].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及
transcript.whisperx[212].start 6550.247
transcript.whisperx[212].end 6578.133
transcript.whisperx[212].text 那個外送員送到那個漁船給外籍漁工外籍漁工你要等你送東西給我吃那一幕我一輩子都不會忘記很荒唐的事情台灣孩子做Uber送東西給外籍漁工你怎麼等他站起來好像角色是混淆的應該是他們送給我們吃才對這個真的是那一幕你去東港看看你東港看真的有 每天都有
transcript.whisperx[213].start 6579.073
transcript.whisperx[213].end 6602.375
transcript.whisperx[213].text 所以,部長,你當天人要更認真,拜託最後一個我問你,這個外籍移工大家都在罵罵我們對外籍移工很苛刻啦怎麼樣啦,我要上個禮拜我才處理我們這個摩里西斯被打的船長爸爸媽媽都來我們叫漁業署、外交部、法務部開一個會
transcript.whisperx[214].start 6605.569
transcript.whisperx[214].end 6620.934
transcript.whisperx[214].text 我們一條漁船出去只有船長跟大副是台灣人其他船就到菲律賓到印尼去把漁工上來或者是我們的遠洋漁工然後出去整隻船的25個、25個都外籍漁工我們的台灣人只有兩個
transcript.whisperx[215].start 6627.062
transcript.whisperx[215].end 6652.776
transcript.whisperx[215].text 他們天天處於危險的情況呢你知道那個船長都在船長室裏面吼 捨射耶我是覺得說我們在苛刻外籍移工這個現在的情況已經改善很多所以倒是我們的船長要跟移工要保持良好的兄弟關係不然真的好像怕死了又不知道耶所以我要拿這個演員
transcript.whisperx[216].start 6657.375
transcript.whisperx[216].end 6677.096
transcript.whisperx[216].text 這傳屬還有那個船長替他們講講話不能一面倒就常常在罵人家的 我覺得沒道理所以部長這點你要去我們勞資和諧很重要啦 僱主跟這個移工權我想兩方都要兼顧啦有時候也要跟他們講一些公道話
transcript.whisperx[217].start 6677.957
transcript.whisperx[217].end 6693.873
transcript.whisperx[217].text 所以我看他們被打打成這個樣子我覺得我們法務部也使不上力我們外交部也使不上力阿牟利西斯也不幫教所以我們只好找對岸去幫忙這樣好笑不好笑所以要加強好不好 以上
transcript.whisperx[218].start 6697.904
transcript.whisperx[218].end 6708.415
transcript.whisperx[218].text 謝謝蘇清泉委員接下來我做以下宣告等一下在盧憲一委員質詢結束休息10分鐘現在請王育明委員發言謝謝主席我們是請許部長請許部長
transcript.whisperx[219].start 6722.867
transcript.whisperx[219].end 6750.237
transcript.whisperx[219].text 王委員好部長好部長3月23號湖內嘉峰旅業工廠爆炸二死六傷這個是非常重大的一個公安事件那這麼重大的一個公安事件我看到媒體他特別提到說事實上去年12月這一家業者已經被開罰了5次請問治安署有掌握這樣的狀況嗎高雄勞工局有通報嗎
transcript.whisperx[220].start 6751.417
transcript.whisperx[220].end 6765.508
transcript.whisperx[220].text 他那個是廢棄物清理法的他違反的是廢棄物跟公安完全沒有關係但是他說他過去也被裁罰了高達十幾次都跟公安都沒有關係跟公安有關係好像我記得好像七次啦就是通知他改善
transcript.whisperx[221].start 6766.633
transcript.whisperx[221].end 6792.39
transcript.whisperx[221].text 有改善嗎?跟這次發生的原因是不一樣的嗎?那你們後來因為一家工廠這麼多次發生情況雖然是不同的情況但是對於勞動部來講對於地方的勞工局來講有把它列為是重點你們去稽查它的相關安全設施的一個對象嗎?有被列冊嗎?有特別被列管嗎?有嗎?
transcript.whisperx[222].start 6792.95
transcript.whisperx[222].end 6812.567
transcript.whisperx[222].text 報告委員因為他之前的違反職安的都是跟工廠設備安全沒有關係的我記得好像是教育訓練的部分跟那個所以沒有列車對不對沒有把它列為高風險但是從媒體報導他高達700度的高溫但這一次跟委員
transcript.whisperx[223].start 6813.027
transcript.whisperx[223].end 6821.909
transcript.whisperx[223].text 他這個是製程有一個控制系統發生問題現在瞭解是這樣但後續真正的原因要等那個這個調查報告出來但我們也認為說這個像旅住這種產業其實蠻高風險的產業它一旦發生爆炸其實影響很大所以過去你們沒有把它列為是高風險那你們現在要把這個相關的工廠列為是高風險嗎因為它既是高溫
transcript.whisperx[224].start 6839.734
transcript.whisperx[224].end 6867.463
transcript.whisperx[224].text 有一個不慎就爆炸而且死傷這個是這麼這麼大的一個範圍我們我們報告我們會之後我們會針對這個女女駐造業吼相關的這個工廠為實施專案的勞檢那你們現在盤查臺灣類似這樣的一個工廠女駐造業有多少家分布在哪裡是不是多數又是在高雄報告委員總數是473吶吼那分布我看一下
transcript.whisperx[225].start 6869.795
transcript.whisperx[225].end 6881.378
transcript.whisperx[225].text 領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243領助造業243
transcript.whisperx[226].start 6891.135
transcript.whisperx[226].end 6894.437
transcript.whisperx[226].text 那本席要求竟然有超過200多家是同樣的那他的製程過程當中可能有高溫的情況那這200多家我要要求勞動部的就是這次竟然爆發這麼重大的一個公安你們應該把這一次的檢討把這些所有發生的原因要回饋給這200多家
transcript.whisperx[227].start 6917.208
transcript.whisperx[227].end 6922.371
transcript.whisperx[227].text 懲罰19案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及懲罰20案及
transcript.whisperx[228].start 6934.998
transcript.whisperx[228].end 6936.699
transcript.whisperx[228].text 中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及
transcript.whisperx[229].start 6951.414
transcript.whisperx[229].end 6961.758
transcript.whisperx[229].text 本席要求的比較著重是你要把每一次重大的公安意外它發生的原因再回饋給這些相關的產業讓它做下一次的預防我覺得這個比開罰事後的開罰其實是更重要的因為你這樣子才能確保他們在製程過程當中大家提高那個風險意識或是相關的教育訓練做到位才不會有下一個同樣的案例再發生好不好
transcript.whisperx[230].start 6977.905
transcript.whisperx[230].end 6994.687
transcript.whisperx[230].text 本席要求你們回去研議之後把你們預備的做法要一份報告給本席好不好我覺得這個非常重要另外一個我要提醒的就是高雄的重大公安事件現在看起來他在製造業的公安其實統計起來他在六都當中其實是最高的
transcript.whisperx[231].start 6995.208
transcript.whisperx[231].end 7023.843
transcript.whisperx[231].text 那可能它過去它是一個工業的城市我們發現最近這好幾起無論是化學廠或者是有大理石工廠或是其他的工廠這種爆炸然後崩落倒塌相關的其實是蠻高的那這個部分這個部長你過去也出身高雄市你自己是不是有一些觀察那你認為這個應該要怎麼樣去改善過去這樣的一個工業都市它這麼多的工廠然後它發生的比例是相對高的那要怎麼樣去改善
transcript.whisperx[232].start 7024.946
transcript.whisperx[232].end 7047.126
transcript.whisperx[232].text 法委員那個高雄當然這幾年之前我是覺得它的公關發生率滿高這兩年有降下來當然統計起來還是相對高像這樣裡面發生這件事情我們還是覺得非常遺憾我是覺得這個很重要的就是說在相關的製造業也好營造業也好那麼
transcript.whisperx[233].start 7047.987
transcript.whisperx[233].end 7062.928
transcript.whisperx[233].text 高風險的部分我是覺得平常可能要請地方政府這邊更針對一些相關的如何落實自主管理預防災案發生應該要在
transcript.whisperx[234].start 7063.308
transcript.whisperx[234].end 7064.609
transcript.whisperx[234].text 全國全國看起來我們重大職災死亡的人數事實上是居高不下
transcript.whisperx[235].start 7087.523
transcript.whisperx[235].end 7109.579
transcript.whisperx[235].text 每一年你看這個數字幾乎都是超過300人而這當中營建業大概就是佔了一半以上因為他是從高空墜落所以他的死亡人數也都非常的高所以我要問一下部長我們有治安署我們也一直在宣導但是我們的這個重大職災的死亡人數其實你如果就整個統計來看並沒有
transcript.whisperx[236].start 7111.52
transcript.whisperx[236].end 7114.402
transcript.whisperx[236].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及二、處理中華民國11年度中央政府總預算凍結案21案及
transcript.whisperx[237].start 7139.52
transcript.whisperx[237].end 7155.81
transcript.whisperx[237].text 對啦,平均有增加營造業還是我是認為這個還非常不滿意啦那我根本報告因為可能也跟這幾年整個那個申請電照齁我們總那個總建平齁你說是因為營造業增加的關係增加然後而且我發現都是高樓層齁
transcript.whisperx[238].start 7157.551
transcript.whisperx[238].end 7158.832
transcript.whisperx[238].text 責任責任責任責任責任責任責任責任
transcript.whisperx[239].start 7186.823
transcript.whisperx[239].end 7202.339
transcript.whisperx[239].text 你們要怎麼落實來署長你要補充你說跟大家報告清楚你這個到底要怎麼做讓他發揮真正的效果根本報告日本的公安他有一些起伏但日本營造相對比台灣好這是我們承認的所以說安全看的就是在現場
transcript.whisperx[240].start 7203.4
transcript.whisperx[240].end 7205.962
transcript.whisperx[240].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[241].start 7224.638
transcript.whisperx[241].end 7228.221
transcript.whisperx[241].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及二、處理中華民國11年度中央政府總預算凍結案21案及二、處理中華民國11年度中央政府總預算凍結案21案及
transcript.whisperx[242].start 7249.694
transcript.whisperx[242].end 7269.005
transcript.whisperx[242].text 公安的教育訓練 是啊那是現場可能沒有落實啊那你要怎麼樣去確認現場是有落實因為每個公司都有營造的監照人員我們也都要求監照人員一定要每天他要去尋嘛要針對他在現場施作的這些勞工、員工要
transcript.whisperx[243].start 7269.625
transcript.whisperx[243].end 7289.395
transcript.whisperx[243].text 安全防護具有沒有都具備有沒有扣好這個一定要本期另外一個要求齁除了剛剛的要求之外你們針對你們今年要全面啟動的針對營造業的這個安全看得見要怎麼去落實怎麼有效的降低這樣的一個死亡率你們應該要一個比較清楚的專案的內容跟報告好不好
transcript.whisperx[244].start 7289.855
transcript.whisperx[244].end 7309.189
transcript.whisperx[244].text 也提供給本席跟本委員會最後我要問一下消防員權益的問題消防員到底要不要適用這個勞安的條例他們的職安需不需要保障目前勞動部的態度是怎麼樣公會他們是希望可以納入這個勞安條例但是勞動部呢你們要去保障消防員的這個職業安全嗎
transcript.whisperx[245].start 7311.772
transcript.whisperx[245].end 7325.328
transcript.whisperx[245].text 那個報告委員其實這個部分我們就是在專他們消防院的專章裡面你們現在請相是回到專章沒有回到這個勞動部這邊的治安法這個就是院那邊開會齁那你們沒有跟工會溝通
transcript.whisperx[246].start 7327.859
transcript.whisperx[246].end 7328.84
transcript.whisperx[246].text 本席要求至少一件事情
transcript.whisperx[247].start 7344.459
transcript.whisperx[247].end 7364.414
transcript.whisperx[247].text 這個消防員的保障不應該低於勞工應該是等期的所以你們應該要在行政院裡面好好去反應針對消防員怎麼樣進一步去保障他們的職業安全避免過勞的事情我覺得勞動部你們要提出最專業的意見好不好給消防弟兄就是打氣然後做為他們的後盾好不好好謝謝好謝謝王玉明委員的發言那下一位我們請黃秀芳委員質詢
transcript.whisperx[248].start 7375.656
transcript.whisperx[248].end 7376.625
transcript.whisperx[248].text 謝謝主席,我們請部長
transcript.whisperx[249].start 7383.476
transcript.whisperx[249].end 7388.757
transcript.whisperx[249].text 防災管理制度、作業流程及必要管理制度、作業流程及必要管理制度、作業流程及必要管理制度、作業流程及必要管理制度、作業流程及
transcript.whisperx[250].start 7412.942
transcript.whisperx[250].end 7432.922
transcript.whisperx[250].text 公安要怎麼去落實我一直覺得說你們訂了很多的法規或者是說訂了很多指引那到底到現場誰要去落實或者是說你們監督誰要去監督這樣的一個事情去把整個安全去把它落實那另外就是說有關這個粉塵爆炸的這個問題因為
transcript.whisperx[251].start 7435.124
transcript.whisperx[251].end 7460.605
transcript.whisperx[251].text 相對如果這個工廠裡面有一定的這個一定規模的員工那如果是他是製作這個有關可能會有一些粉塵的這個應該會有職業安全人員嗎對不對對好那那有這樣的一個職業安全的人員那為什麼還是會有這麼多的譬如說民養民養他應該本身也有這樣子一個職安人員在裡面嗎那那像這樣的話到底他是沒有落實
transcript.whisperx[252].start 7462.106
transcript.whisperx[252].end 7476.504
transcript.whisperx[252].text 或是說很多事情只是書面作業然後敷衍了事物我不知道這個勞動部針對這部分未來你們在這個職安未來的10年你們要怎麼讓這個職安的這個公安事件下降
transcript.whisperx[253].start 7477.245
transcript.whisperx[253].end 7505.165
transcript.whisperx[253].text 報告委員我是覺得很重要的是一個安全文化的建立安全文化建立這很重要因為不然的話這些事件一定是層出不詳雖然我們其實我們根本幫我們這10年來我們的這個減災是有發生效果因為那個質災的千人率是有下降從3點多下到現在2點多但是呢這個因為事件還是每年都有發生那所以大家對於這個質安
transcript.whisperx[254].start 7507.131
transcript.whisperx[254].end 7509.233
transcript.whisperx[254].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[255].start 7536.051
transcript.whisperx[255].end 7538.012
transcript.whisperx[255].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[256].start 7565.163
transcript.whisperx[256].end 7566.664
transcript.whisperx[256].text 三、四樓掉下來人就掛掉了。
transcript.whisperx[257].start 7586.9
transcript.whisperx[257].end 7587.921
transcript.whisperx[257].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[258].start 7606.019
transcript.whisperx[258].end 7634.543
transcript.whisperx[258].text 最新天氣熱再裝冷氣就從上面可能就那個以為那個那個呃那個屋頂是安全的結果是破就是踩下去就破了然後就掉下來那像這樣子的話我不知道說如果說針對有一定規模的工廠那當然一定會有一些職安人員嗎那像這樣的一個小型的這個電器行我講的那種小型的那你們怎麼樣去落實作業者啦吼都無一定雇主的這部分
transcript.whisperx[259].start 7635.203
transcript.whisperx[259].end 7649.375
transcript.whisperx[259].text 那我們就是應該要對於這些個人的這些施作者可能要加強他的這些安全的防御知識所以你們會請工會這邊會讓他們有一些這個職安的一些講習啊至少通路沒有展開
transcript.whisperx[260].start 7657.169
transcript.whisperx[260].end 7676.444
transcript.whisperx[260].text 委員對不起我還是跟周報告冷氣業的部份其實這3、5年其實各地方講究都非常重視因為他最後不會當到是小型的安裝公司現場安裝一個人兩個人所以我們採取策略是冷氣通路比如說大的冷氣販賣商他發包給下面的承擔去做現場安裝的時候他說現場的安全呢
transcript.whisperx[261].start 7678.645
transcript.whisperx[261].end 7683.987
transcript.whisperx[261].text 二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、
transcript.whisperx[262].start 7705.794
transcript.whisperx[262].end 7708.436
transcript.whisperx[262].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及二、處理中華民國11年度中央政府總預算凍結案21案及
transcript.whisperx[263].start 7735.778
transcript.whisperx[263].end 7748.347
transcript.whisperx[263].text 中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及中華民國總預算凍結案21案及
transcript.whisperx[264].start 7764.659
transcript.whisperx[264].end 7766.38
transcript.whisperx[264].text 含報告事項20案及20案及20案及20案及20案及20案及20案及20案及20
transcript.whisperx[265].start 7788.007
transcript.whisperx[265].end 7803.214
transcript.whisperx[265].text 二、請勞動部這邊是針對既然我們的這個整個經濟成長那我相信很多企業他可能把這個成長的果實分分給他的股東那是不是也要請勞動部也要把這個成長的果實
transcript.whisperx[266].start 7804.335
transcript.whisperx[266].end 7829.815
transcript.whisperx[266].text 分給所有的員工讓他們一起共享經濟成長的果實我想請教部長我們看到臺灣的基本工資時薪累積條幅有59%以上當然很多人會覺得說小英總統上來之後每一年幾乎都有調基本薪資還是覺得追不上
transcript.whisperx[267].start 7831.756
transcript.whisperx[267].end 7854.283
transcript.whisperx[267].text 其他通膨。我想請教部長,像這樣的一個狀況,我們希望臺灣的經濟成長的果實是跟所有的員工一起共享的,那你們怎麼樣讓員工的薪資實質上也可以得到一個加薪?其實我們也
transcript.whisperx[268].start 7855.802
transcript.whisperx[268].end 7882.241
transcript.whisperx[268].text 就是一再的跟這些企業主事業單位在呼籲就經濟果實要跟勞工來共享因為企業能夠賺錢能夠永續其實都是勞工的努力是不可以忽視的那當然我們這幾年其實透過基本工資的調升來也基本工資其實照顧最邊際基層落實的勞工但是也由政府的一個調整基本工資能夠讓企業
transcript.whisperx[269].start 7884.142
transcript.whisperx[269].end 7887.165
transcript.whisperx[269].text 有關勞動部主管預算凍結案21案及有關勞動部主管預算凍結案21案及有關勞動部主管預算凍結案21案及
transcript.whisperx[270].start 7910.905
transcript.whisperx[270].end 7911.946
transcript.whisperx[270].text 中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[271].start 7926.164
transcript.whisperx[271].end 7927.926
transcript.whisperx[271].text 中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[272].start 7942.041
transcript.whisperx[272].end 7955.854
transcript.whisperx[272].text 懷疑中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民
transcript.whisperx[273].start 7957.495
transcript.whisperx[273].end 7961.178
transcript.whisperx[273].text 有關公安或是現在我們也希望說國家的經濟成長也能夠讓所有的勞工可以分享到這個經濟成長的果實而不是讓勞工覺得說是無感
transcript.whisperx[274].start 7983.134
transcript.whisperx[274].end 7992.625
transcript.whisperx[274].text 另外最後我想請教部長因為我最近聽到很多的餐飲業很多都收起來因為他們請不到廚師我不知道說勞動部應該也會聽到這樣的一個狀況
transcript.whisperx[275].start 8003.126
transcript.whisperx[275].end 8003.546
transcript.whisperx[275].text 新規模範的勞動部委員會委員會委員會委員會
transcript.whisperx[276].start 8028.832
transcript.whisperx[276].end 8057.606
transcript.whisperx[276].text 教育或者是讓一些想有心想要從事這個餐飲業的人也可以進入到這樣的一個職場那我不知道說部長你有沒有聽到這樣的一個聲音報告委員其實像這些從事餐飲尤其廚師他都他都要有證照對其實我們勞動部針對這個部分我們都有有這個訓練有職業訓練各職業公務也都有開班是我們都其實都有委辦所以其實
transcript.whisperx[277].start 8058.146
transcript.whisperx[277].end 8077.482
transcript.whisperx[277].text 第一個從人才端這裡如果這些有人願意他從事這個餐飲的廚師的工作其實他可以進到訓練班來然後取得證照他就可以去工作但是現在因為可能現在因為餐飲真的缺工是很嚴重非常嚴重非常嚴重所以可能
transcript.whisperx[278].start 8078.323
transcript.whisperx[278].end 8102.234
transcript.whisperx[278].text 有些慈禧效應若比較大的參與集團他可能薪資好、福利好、勞動環境各方面那怎麼樣去解決?現在是碰到這個問題要怎麼解決?我們醫後改善缺工有針對把這些納進來像若有個案其實委員也可以給我們我會請我們的各地的分署去了解去做一些協助
transcript.whisperx[279].start 8103.755
transcript.whisperx[279].end 8119.185
transcript.whisperx[279].text 我們當然就是說希望這個勞工想要做的人都有一個好的工作嘛那有很多是需要勞動部這邊來協助的那我們希望讓勞工有一個好的這個工作環境也是勞動部這邊要去營造的好不好好謝謝
transcript.whisperx[280].start 8135.836
transcript.whisperx[280].end 8154.543
transcript.whisperx[280].text 接下來請盧憲一委員發言主席請許部長跟周署長請許部長跟周署長部長好盧委員好
transcript.whisperx[281].start 8155.86
transcript.whisperx[281].end 8157.14
transcript.whisperx[281].text 中華民國113年度中華民國113年度中華民國113年度中華民國113年度中華民國113年度
transcript.whisperx[282].start 8185.527
transcript.whisperx[282].end 8210.622
transcript.whisperx[282].text 兩行兩列兩列這邊吼可以看到110年是0.062不過111年的時候是0.109應該是有將近兩倍那跟這個前109的話是增加增加了三倍所以他的雖然是整體的那個災害是減少了不過死亡數字是增加的那你們有沒有做這方面的一個關心或者是說研究
transcript.whisperx[283].start 8213.113
transcript.whisperx[283].end 8233.849
transcript.whisperx[283].text 這個問我請署長來說明一下謝謝謝謝委員確實去年跟前年我們原住民的職災死亡在工作上的職災死亡是增加的這個我們知道所以我們其實這兩年特別針對那個部落的一些公安的宣導跟那個特別是透過他們的豐年祭什麼相關活動做很多的一些宣導報告展開
transcript.whisperx[284].start 8234.75
transcript.whisperx[284].end 8236.872
transcript.whisperx[284].text 原住民死亡人數320人、歐元原住民死亡人數22人。
transcript.whisperx[285].start 8258.18
transcript.whisperx[285].end 8273.034
transcript.whisperx[285].text 臺灣大部分都會從事的工作確實也是風險相對比較高所以我們認為說是如何在這種相對風險高的部分告訴我們原住民如何自保當然也是要求這些事業單位在做這樣子的防災的時候要特別注意整個安全的展開比如說營造業部分確實我們
transcript.whisperx[286].start 8274.395
transcript.whisperx[286].end 8297.468
transcript.whisperx[286].text 有關勞動部的官員罪名的網頁當然他更新是更新到今天應該是很認真在更新不過看了瀏覽的人數看我們的勞工的人數是20萬可是真正去關心過這個網頁的我們的勞工人才3000人而已所以希望
transcript.whisperx[287].start 8298.268
transcript.whisperx[287].end 8301.209
transcript.whisperx[287].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及二、處理中華民國11案及
transcript.whisperx[288].start 8317.904
transcript.whisperx[288].end 8338.654
transcript.whisperx[288].text 所謂的職業失能的那個量化的時候應該要看得到他是暫時的還是永久的因為你這樣我看不我看不出來啊那個14齁14是林兆業然後總計是32人32人的話我不知道他到底是多嚴重好不好看不出來
transcript.whisperx[289].start 8340.114
transcript.whisperx[289].end 8363.043
transcript.whisperx[289].text 包括這個職業私人勞保局在做最後的那個那個職業私人那個給付的時候會有不同的等級來判斷他是什麼樣的等級這個後台有比較細緻的資料但是因為這個是統計分析的一個說明那我希望說在職業死亡的這個比如說每一個一個比如說22人好了那是不是每一個人的死亡的那個case study應該要有
transcript.whisperx[290].start 8363.863
transcript.whisperx[290].end 8365.144
transcript.whisperx[290].text 事業單位應加強安全衛生管理。
transcript.whisperx[291].start 8379.818
transcript.whisperx[291].end 8381.7
transcript.whisperx[291].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[292].start 8396.011
transcript.whisperx[292].end 8396.652
transcript.whisperx[292].text 實際調查報告分析
transcript.whisperx[293].start 8418.47
transcript.whisperx[293].end 8436.483
transcript.whisperx[293].text 所有的安全衛生管理應該都是僱主負責僱主的責任,那我們政府是監督端所以我們勞動監督檢查應該是重點做風險比較高的部分優先做監督檢查那比較屬於中低風險我們就期待僱主能夠有個管理系統做每天的正常的循環我意思是說這個量夠不夠這個檢察員的量夠不夠數量
transcript.whisperx[294].start 8439.83
transcript.whisperx[294].end 8460.347
transcript.whisperx[294].text 只有一千多個要跟我們報告我們的臺灣的檢察員的評那個配比跟勞工人的配比已經在國際應該算是正常的沒有太多配聽你可以呈現這樣的數據讓大家知道說確實有做到這樣子是是可以嗎不然會覺得說你像偏低了然後我們這個工作安全都沒有人去把關
transcript.whisperx[295].start 8461.608
transcript.whisperx[295].end 8463.671
transcript.whisperx[295].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及
transcript.whisperx[296].start 8476.365
transcript.whisperx[296].end 8476.785
transcript.whisperx[296].text 安全建議﹗安全建議
transcript.whisperx[297].start 8503.851
transcript.whisperx[297].end 8532.092
transcript.whisperx[297].text 各位報告其實比較高風險的部分我們所謂教育訓練應該會要求每個勞工有一個教育訓練比如營造業我們3加3小時的教育訓練他才可以資格去現場做工作那這部分我們希望現場的監督管理入場管制就要了解他有沒有做教育訓練才能進場來作業關於那個墜落職災這個部分常常就是我們都知道是大包轉小包這樣給底下的下游廠商的採訪對大包的就是業主
transcript.whisperx[298].start 8533.013
transcript.whisperx[298].end 8556.263
transcript.whisperx[298].text 不痛不癢,那能不能透過樂立停工來真正嚇阻這樣的一個行為?部長覺得呢?各位有報告,其實我們的檢查如果它發生有立即危險之餘,我們不但處罰也會做停工。停工它提出復工的申請,那我們先來講去現場看復工,它的達到我們的安全標準才可以讓它復工。確實營造業部分這個算是我們的檢查的重點。
transcript.whisperx[299].start 8557.714
transcript.whisperx[299].end 8562.317
transcript.whisperx[299].text 凍結案21案及凍結案21案及凍結案21案及凍結案21案及凍結案21案及凍結案21案及凍結案21案及凍結案21案及凍結案21案及凍結案
transcript.whisperx[300].start 8576.683
transcript.whisperx[300].end 8592.279
transcript.whisperx[300].text 這個委員就是民眾會擔心我們有那個植栽黑樹那我們除了第一時間消防隊員跟我們的聯繫的平台有報告之外我們現在透過醫院端如果發現疑似是職業病或職業災害的部分也會透過我們這個系統來做回報那特別跟委員報告
transcript.whisperx[301].start 8593.257
transcript.whisperx[301].end 8604.244
transcript.whisperx[301].text 我們也不希望像這樣的事情會被隱瞞掉我們鼓勵當事人或當事朋友在我們職災通報裡面也給我們一些訊息所以我們在經財暴通過之後我們有職災通報的一個厚道網絡鼓勵有數據嗎?是
transcript.whisperx[302].start 8609.167
transcript.whisperx[302].end 8623.092
transcript.whisperx[302].text 有數據嗎?有數據再給我囉接下來就是說我們的那個勞檢的部分就是我們營造業跟製造業占了相當大的比例可是我們勞檢可能數目可能不夠那這方面你要怎麼做一個經濟改善?
transcript.whisperx[303].start 8626.357
transcript.whisperx[303].end 8629.878
transcript.whisperx[303].text 有關事業單位應加強安全衛生管理制度、作業流程及必要教育、作業流程及必要檢查。
transcript.whisperx[304].start 8643.624
transcript.whisperx[304].end 8665.211
transcript.whisperx[304].text 通過勞工的吹哨子或是外面來跟我們申訴檢舉我們來做監督檢查所以我覺得覆蓋率的問題其實世界各國不太談這一塊覆蓋率但是我們主要如何第一線有效保護勞工的安全衛生從我們的監督檢查跟事業單位自主管理部分我覺得應該是可以再互相來做做積極的改善的因為時間的關係我是希望說
transcript.whisperx[305].start 8666.391
transcript.whisperx[305].end 8687.117
transcript.whisperx[305].text 緣住民主委員會有建立一個通報聯繫機制,你們可以跟他們一個通報聯繫機制,如果有發生質在的勞工告訴他們,他們可以透過緣住民的關懷,或者是說我們一個叫家庭服務中心來一起來協助他們獲得社會的資源。在最後一個就是說關於工作上歧視的問題,挑到最後一個。
transcript.whisperx[306].start 8688.786
transcript.whisperx[306].end 8702.047
transcript.whisperx[306].text 就是在OECD國家他有做一些研究然後就是對普遍的民眾做了一個對你如果你在工作上受到歧視的一個認知那我們台灣有沒有做這方面的研究像現在作業
transcript.whisperx[307].start 8704.349
transcript.whisperx[307].end 8704.769
transcript.whisperx[307].text 謝謝盧憲宜委員那我們現在休息10分鐘
transcript.whisperx[308].start 9339.687
transcript.whisperx[308].end 9343.489
transcript.whisperx[308].text 好現在繼續開會接下來請圖全級委員發言好謝謝請我們許部長請許部長
transcript.whisperx[309].start 9362.023
transcript.whisperx[309].end 9385.609
transcript.whisperx[309].text 吳委員好許部長請問一下像我們新冠疫情之前我們公路的客運的營運那個載客的人數應該都超過千萬那現在雖然疫情稍微比較趨緩理論上算是已經結束了那我印象現在可是現在的搭乘量大概也只不過到七成
transcript.whisperx[310].start 9386.249
transcript.whisperx[310].end 9387.19
transcript.whisperx[310].text 中華民國11年度中央政府總預算凍結案21案及
transcript.whisperx[311].start 9404.902
transcript.whisperx[311].end 9429.534
transcript.whisperx[311].text 各院駕駛員的人數都是非常短缺而且造成很多營運上的問題像我們有這個9089桃園到北市古亭還有9103大溪到新北頂浦5203A盧竹到南崁到北市9005桃園到北市內科都因為這個人力的不足跟營運的不善造成很多的
transcript.whisperx[312].start 9430.034
transcript.whisperx[312].end 9440.183
transcript.whisperx[312].text 入境路線停止甚至要加班加開的路線也沒有辦法去做那請問一下你知不知道現在我們公路客運駕駛員缺額大概有多少根據我們聯合報去做這個數據的顯示我們交通部在111年的時候有招募大概4800人可是
transcript.whisperx[313].start 9457.938
transcript.whisperx[313].end 9459.398
transcript.whisperx[313].text 中華民國113年度中華民國113年度中華民國113年度中華民國113
transcript.whisperx[314].start 9483.744
transcript.whisperx[314].end 9500.289
transcript.whisperx[314].text 領5個月的全薪表示現在這個司機荒可以說是非常非常的嚴重那我想請問一下我們針對這個公路客運其實看起來也算是缺工的行業是不是有機會引進這個外籍移工的空間報告委員
transcript.whisperx[315].start 9502.13
transcript.whisperx[315].end 9522.586
transcript.whisperx[315].text 這個司機是屬於專機人員他其實不是屬於低階的藍領他應該是屬於白領那這個全程機關在交通部那他因為也要考證照那所以就是說這個應該是交通部去考量如果他要引進這個白領的司機的專機人員我們也是尊重他只要
transcript.whisperx[316].start 9523.286
transcript.whisperx[316].end 9542.415
transcript.whisperx[316].text 就是申請工作證因為這個我們也資格啦也根據他們的一些指標我們做過一些統計我知道我們勞發署有跨國勞動力政策協商諮詢小組每年針對一些指標去做一些統計我們大概看一下針對這個產業關聯我們這個公路客運其實它也是屬於公共運輸也屬於的公共
transcript.whisperx[317].start 9550.279
transcript.whisperx[317].end 9579.073
transcript.whisperx[317].text 公共財不是非企業盈利的部分那自動化的部分他自動駕駛的部分其實現在也還沒有到成熟的階段那薪資水準的部分就像剛剛部長有講他這個白領移工他的下限是47,971元其實我們客運的平均月的薪資可以到達59,000多所以基本上他也算是高薪而且如果以
transcript.whisperx[318].start 9579.733
transcript.whisperx[318].end 9598.801
transcript.whisperx[318].text 拼請這個外籍移工來講也不算是虧待他們這個薪水不能比他白領的移工最低下限還高而且重點他缺工的情形非常的嚴重你看我們高興在台灣真的都請不到人在台北市、桃園市甚至我相信各縣市
transcript.whisperx[319].start 9600.321
transcript.whisperx[319].end 9628.715
transcript.whisperx[319].text 人力缺口真的非常嚴重然後他3K產業他也符合他也是高工時勞累也是長年招募不足所以今天在這邊提出就希望我們勞動部是不是可以針對這一部分來解決我們這個司機荒謬這個需求的部分我們了解他現在真的是缺司機但是這個整個權責是在交通部我們尊重因為他是屬於白領
transcript.whisperx[320].start 9629.835
transcript.whisperx[320].end 9652.784
transcript.whisperx[320].text 他不是屬於蘭嶺的移工所以他只要符合他的資格那也可以相關證照可以考過我們其實我們只是負責發工作證而已所以這個部分我們尊重交通部的我們也會先提出因為我們今天提出就希望能夠勞動部能夠先重視這一部分因為這個指標是勞動部的指標我們經過這些指標這是移工的引進
transcript.whisperx[321].start 9657.846
transcript.whisperx[321].end 9674.237
transcript.whisperx[321].text 我可能要先說明這是移工的引進跟那個白領專技人員的其實不一樣的我們其實白領是不需要事務的沒關係因為我希望先讓勞動部先重視這部分問題當然交通部的問題我們也會去解決
transcript.whisperx[322].start 9675.017
transcript.whisperx[322].end 9703.988
transcript.whisperx[322].text 因為現在司機荒人才招募這個問題造成很多地方很多的家長還有很多的上班族像我們現在很多路線搭乘的人很多可是要加班沒有辦法加班然後很多路線莫名的停駛那很多的縣市政府說他真的沒有司機所以沒有辦法去開所以也希望勞動部能夠協助解決這部分問題交通部的部分我們也會去解決
transcript.whisperx[323].start 9704.668
transcript.whisperx[323].end 9707.83
transcript.whisperx[323].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及
transcript.whisperx[324].start 9730.16
transcript.whisperx[324].end 9730.34
transcript.whisperx[324].text 勞動部主管預算凍結
transcript.whisperx[325].start 9748.098
transcript.whisperx[325].end 9749.419
transcript.whisperx[325].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[326].start 9779.191
transcript.whisperx[326].end 9803.106
transcript.whisperx[326].text 針對這個合併的比例還有他這個使用上他說像有些染疹的部分還有成衣廠他說有些這外籍移工使用的調配應該要能夠讓他們能夠去活用解決現在在台灣真的招募不到人來做的問題是 報告委員其實我剛剛講過就是說你真的比例真的不足你那個目的世界主管機關他可以提案過來
transcript.whisperx[327].start 9804.367
transcript.whisperx[327].end 9826.176
transcript.whisperx[327].text 我們政策諮詢小組會開會來討論看是不是合理第二個就是說其實我現在還沒有調整之前你可以用那個附加就extra你只要加那個救安費就可以提高這個比例另外還有就是承接國內轉出的移工5%裡面就是按照這個原來救安基金
transcript.whisperx[328].start 9828.663
transcript.whisperx[328].end 9832.398
transcript.whisperx[328].text 他就可以來禁用另外轉成中階他轉成中階他還可以
transcript.whisperx[329].start 9835.211
transcript.whisperx[329].end 9857.809
transcript.whisperx[329].text 轉一個補一個好那我也希望因為我知道我們勞發署針對這個跨國勞動力這個部分我希望這個諮詢小組這一部分針對這個比例的部分真的來深切的檢討因為我們接到太多太多的反應他說這個已經20幾年了真的很不合乎時宜請相關的業者他可以好那我請他們業者再提出具體的澄清還有針對我們
transcript.whisperx[330].start 9862.493
transcript.whisperx[330].end 9879.367
transcript.whisperx[330].text 我們有提出這個勞工保險財務改善的專案報告我先看了一下我發現其實這個專案報告真的太流於形式然後我們勞動保險業務我們看了一下從109年到113年你看這個勞動保險業務這個預算年年增加從1400多億到113年到2790
transcript.whisperx[331].start 9893.479
transcript.whisperx[331].end 9907.694
transcript.whisperx[331].text 2790幾億這五年足足增加了兩倍那所以我看這個大部分都是用來補這個勞保基金然後我也看這個專案報告感覺真的是流於形勢沒有一些具體的改善方式部長你有什麼看法
transcript.whisperx[332].start 9908.593
transcript.whisperx[332].end 9934.592
transcript.whisperx[332].text 報告委員這個其實包括那個健保的那個勞工的部分齁也是因為人數增加啊也是他們也是投保薪資也是在我們這邊我知道因為那另外還有就是撥補啦因為這勞保這個年金改革啊說真的因為我們也看了一下2020年喔部長也一直有心要去做八月份的時候你也說一定要去做不惜持官
transcript.whisperx[333].start 9935.112
transcript.whisperx[333].end 9964.287
transcript.whisperx[333].text 然後9月份說年底在2020年底你說要提出改善方案其實一直到今年然後2024年我們都看不到具體改善方案那後來有問部長那部長的意思是說這個因為很複雜要三檔坐下來談所以我說這當初這個這個預算會凍結就是看不到一些具體的改善方案那現在今天又說要凍結我們也還是看不到具體的改善方案而且
transcript.whisperx[334].start 9964.867
transcript.whisperx[334].end 9991.503
transcript.whisperx[334].text 你又說要等三黨坐下來慢慢談那你都還沒談好你現在要來解凍我不知道要做什麼那我倒認為這個是不是等到真的提出一個完善的改善方案的時候我們再來解凍來解決這個問題不然你看從2020年這個經費業務經費也是一直撥啊撥到現在也沒有一個完整的改善方案那現在又說要來解凍這個預算我不知道解凍以後
transcript.whisperx[335].start 9992.183
transcript.whisperx[335].end 10011.451
transcript.whisperx[335].text 難道今年解凍就可以做出改善方案嗎?可是我的意思說前面那麼多年你也說要做我們前面看預算也都編給你們啊然後你說要做也沒做然後你今年還說沒有辦法做那你還來解凍幹嘛?
transcript.whisperx[336].start 10014.477
transcript.whisperx[336].end 10027.475
transcript.whisperx[336].text 三黨坐下來談談到可以做的時候再來解凍那前面說可以做的時候經費照編也做不出一個改善方案然後今年你說要三黨坐下來談才有辦法做那我不知道解凍這筆錢要做什麼
transcript.whisperx[337].start 10030.43
transcript.whisperx[337].end 10055.444
transcript.whisperx[337].text 所以我的意思是說前面錢給你用你也做不出改善方案然後今天又說要來解凍所以我覺得好啦那我說如果今年給那你有辦法改善方案嗎如果真的沒辦法給你說這明年這筆經費我們怎麼讓你過得了怎麼編得下去
transcript.whisperx[338].start 10057.83
transcript.whisperx[338].end 10083.925
transcript.whisperx[338].text 老保年改這件事情我們一定是會很審慎也一定會積極的處理部長你再好好看一下因為我很擔心從109年到113年增加了兩倍這個缺口越來越大你又沒有改善方案業務費100萬不是問題但是100萬給了也沒有具體的方案出來我不知道這個業務費一直給下去我相信當初會凍結就是因為你們沒有具體的方案謝謝
transcript.whisperx[339].start 10087.764
transcript.whisperx[339].end 10091.486
transcript.whisperx[339].text 謝謝圖全級委員接下來請王振旭委員發言好謝謝主席有請部長請許部長
transcript.whisperx[340].start 10113.855
transcript.whisperx[340].end 10118.057
transcript.whisperx[340].text 全國勞動力約有1,192萬人,就業人數有1,145萬。這是廣大的族群
transcript.whisperx[341].start 10131.161
transcript.whisperx[341].end 10155.89
transcript.whisperx[341].text 這是要勞動部要幫忙做服務照顧的對象那在勞動部組織的幾項重大業務裡面其實我想最重要的目標就是要落實這個勞動的安全那同時也要透過很多有效的政策來減輕這個勞工的負擔那請問部長您同意這個業務的重要性還有怎麼推廣是
transcript.whisperx[342].start 10157.831
transcript.whisperx[342].end 10177.038
transcript.whisperx[342].text 那我們也知道最近有兩個政策的確會對勞工的生活造成了一些影響包括央行的升息、電價的調漲相信勞動部應該會有更多相關的應用措施來減少這個勞工的影響跟衝擊
transcript.whisperx[343].start 10178.739
transcript.whisperx[343].end 10199.944
transcript.whisperx[343].text 包括一般的貸款還有房貸還有這個營運電價上漲帶來的這些生活上的一些影響那請問部長是不是有啟動相關的作為來幫助勞工朋友那個就是央行升息辦碼那部分我們已經針對疫情期間那個勞工紓困貸款的部分
transcript.whisperx[344].start 10200.464
transcript.whisperx[344].end 10215.769
transcript.whisperx[344].text 我們全額補貼這半碼的升息的負擔我們勞動部全額補貼另外就是電費調整當然4月1號要上路上路之後對於勞工的
transcript.whisperx[345].start 10217.529
transcript.whisperx[345].end 10240.116
transcript.whisperx[345].text 實質薪資會否受影響?這個部分也跟委員報告我們現在今年上路的最低工資法那個CPI就是消費者物價指數年增率它是法定的因參財指標那這個CPI它本身就包含這些民生消費的相關的指數像柴米油鹽、水電都在裡面所以
transcript.whisperx[346].start 10241.376
transcript.whisperx[346].end 10258.761
transcript.whisperx[346].text 未來我們的最低工資審議通常在第三季的時候會來開會那到時候審議委員也會參著這些整個CBI他的年度漲幅還有說民生物價生產物價的變動狀況這些相關的我們有十項的參賽指標會來做整體通盤的考量那我想我們的這幾年來都是
transcript.whisperx[347].start 10268.744
transcript.whisperx[347].end 10293.812
transcript.whisperx[347].text 以照顧我們最基層、最邊際勞工的生活為我們基本公司調整的主要目標。好,謝謝部長的說明。其實上個禮拜陳院長也針對這部分要求各個相關部門研議來協助這些弱勢。當然勞工朋友不見得全部都是弱勢,不過相對來講還是需要勞動部這邊給予更多的幫忙。
transcript.whisperx[348].start 10294.312
transcript.whisperx[348].end 10305.986
transcript.whisperx[348].text 其實我們也知道從111年起央行進行了6次的升息那這其中5次都有勞動部來做全額補貼這顯見說這部分勞動部針對減輕勞工的負擔真的有做非常多的努力
transcript.whisperx[349].start 10311.972
transcript.whisperx[349].end 10339.278
transcript.whisperx[349].text 除了這一部分以外我們也知道貸款也的確影響到蠻多我們這個勞動朋友的一些影響我們知道目前全國貸款的總數又有212萬人其中應該大部分是廣大的這個勞工朋友那目前辦理的這個清案貸款的確是可以有所益助不過假設以一千萬的房貸來看的話
transcript.whisperx[350].start 10340.758
transcript.whisperx[350].end 10358.478
transcript.whisperx[350].text 每一年的這個利息會將近增加8000元這個對勞工朋友也是個負擔所以如果勞動部這邊有其他的這個方案的話我們希望能夠再協助那電價調整應該也是會多少對這個勞工朋友造成一些負擔
transcript.whisperx[351].start 10359.159
transcript.whisperx[351].end 10374.415
transcript.whisperx[351].text 可是我們擔心的就是其實這個實質的總薪資7年來反而是實質下降了1.04%是11年來的最低減幅所以這部分想要提醒部長就是
transcript.whisperx[352].start 10375.576
transcript.whisperx[352].end 10395.195
transcript.whisperx[352].text 通常基本工資最低工資只是因應一個處理的標準那對於未來物價波動的因素能不能有辦法做成一個前瞻性的不只是基本工資的調整而且是能夠針對勞工朋友做一個工資上重要的變動因素的這個可以讓
transcript.whisperx[353].start 10396.696
transcript.whisperx[353].end 10412.677
transcript.whisperx[353].text 大家未來在提升相關的工資的時候一個重要因素的參考這部分不知道部長有什麼看法基本工資當然是最低工資是針對弱勢勞工那一般的勞工部分當然我們就是跨部會會去
transcript.whisperx[354].start 10414.259
transcript.whisperx[354].end 10417.141
transcript.whisperx[354].text 二、處理中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[355].start 10432.238
transcript.whisperx[355].end 10438.082
transcript.whisperx[355].text 綜合社會福利及衛生環境委員會第11屆第1會期社會福利及衛生管理制度、作業流程及必要教育 訓練:一、邀請勞動部部長就
transcript.whisperx[356].start 10462.018
transcript.whisperx[356].end 10485.249
transcript.whisperx[356].text 也提出很多政策規劃的說明本席要特別提醒的是這些計畫或政策的落實真的必須要改善現況或者是在現場如果能夠維護到我們這些勞工朋友的安全因為我有這樣的作業需求的要求之下真的才能夠充分的保障勞工、勞動朋友的安全
transcript.whisperx[357].start 10485.936
transcript.whisperx[357].end 10509.673
transcript.whisperx[357].text 不過在這個長久的工作過程裡面其實他們的身體健康也必須要去定時的去了解跟去掌握那上一次也有提醒部長我們在質詢的部分就是針對勞動安全是很希望能夠真的是有機會去落實那尤其是對於一些高風險的這個場域齁
transcript.whisperx[358].start 10511.814
transcript.whisperx[358].end 10532.869
transcript.whisperx[358].text 這部分我們也了解很多的這個勞工健檢的落實度其實是有需要再改善的就是我們看到至少500家以上並沒有落實這些特殊健檢對勞動朋友在他的這個長期工作之下造成了一些問題那這一部分
transcript.whisperx[359].start 10535.151
transcript.whisperx[359].end 10555.357
transcript.whisperx[359].text 我們往下看知道有一些醫療機構在做這些健康檢查的時候呢也需要在特別的加強這部分已經兩個禮拜過去了上一次的質詢裡面有請這個相關單位去做了解不知道目前有有執行到哪一個程度
transcript.whisperx[360].start 10555.837
transcript.whisperx[360].end 10558.48
transcript.whisperx[360].text 二、處理中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[361].start 10571.833
transcript.whisperx[361].end 10597.356
transcript.whisperx[361].text 勞工健檢醫院的那個平和機制,我們有A、B、C、D級那比較不好的像委員這樣錄出來C跟D我們會做要求做改善第二年在平建的時候如果還沒有改善我們還做後續處置所以讓勞工健檢的有效達到勞工的身體狀況這是我們期待這個正向的循環那有關比較目前還比較不理想的那個勞工健檢醫院我們會再做後面的那個集合
transcript.whisperx[362].start 10598.24
transcript.whisperx[362].end 10615.747
transcript.whisperx[362].text 事業單位應加強安全衛生管理制度、作業流程及必要教育 訓練:立法院第11屆第12會期社會福利及衛生管理制度、作業流程及必要教育 訓練:立法院第12會期社會福利及衛生管理制度、作業流程及必要教育 訓練:立法院第12會期社會福利及衛生管理制度、作業流程及必要教育 訓練:立法院第12會期社會福利及衛生管理制度、作業流程及必要教育
transcript.whisperx[363].start 10623.331
transcript.whisperx[363].end 10639.827
transcript.whisperx[363].text 發現目前實際的狀況在這個國內企業GI403揭露情形其實普遍性是不足的那這一部分勞動部這邊還是希望能夠提出更有效的誘因跟具體作為來改善這個永續經營的部分
transcript.whisperx[364].start 10641.267
transcript.whisperx[364].end 10642.108
transcript.whisperx[364].text 公職勞動部主管委員會長
transcript.whisperx[365].start 10666.579
transcript.whisperx[365].end 10692.421
transcript.whisperx[365].text 高雄這個遊覽車的車禍好像是因為連續開15個小時他這個我們不知道這個連續開15個小時他是一直坐在他的駕駛座方向盤上還是當中有其他問題不過我相信所有的這個大客車的駕駛他的工作除了影響到他的個人健康以外那都是一個公共安全的一個很大的威脅那剛剛有很多委員提到
transcript.whisperx[366].start 10692.941
transcript.whisperx[366].end 10708.204
transcript.whisperx[366].text 目前真的這個駕駛的缺工也是非常的嚴重這邊北市也說他們這個缺工的這個主額也是越來越上升那我們也理解這個缺工是有一定的這些因素的影響
transcript.whisperx[367].start 10709.225
transcript.whisperx[367].end 10722.802
transcript.whisperx[367].text 那很期待我們這個勞動部可以跟交通部有效的去做相關因應的措施來讓這樣的對於我們的這些辛苦的駕駛們
transcript.whisperx[368].start 10724.404
transcript.whisperx[368].end 10746.993
transcript.whisperx[368].text 除了他在工作上更安全以外也針對他的身體健康還有各方面的這些勞動條件都能夠有效的改善那當然也要有好的稽查還有如何能夠讓這樣的安全措施可以更為落實部長能不能也在這個在這邊先說明一下努力的方向
transcript.whisperx[369].start 10748.153
transcript.whisperx[369].end 10762.706
transcript.whisperx[369].text 這個我想像駕駛的這個工時問題我們其實一直都非常重視每年都有專案的勞檢檢查結果都給交通部來去督促業者必須要法尊要一定要做那
transcript.whisperx[370].start 10763.587
transcript.whisperx[370].end 10787.95
transcript.whisperx[370].text 另外就是我們其實關於司機的這個缺工的問題這個部因為主管機關在交通部我們會尊重他們的決定那因為這個是屬於白領的專機人員所以相關的資格還有相關的條件那後續的這個協助我們也都來幫忙謝謝好那就一起努力好謝謝
transcript.whisperx[371].start 10790.172
transcript.whisperx[371].end 10793.253
transcript.whisperx[371].text 2022年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[372].start 10809.872
transcript.whisperx[372].end 10827.527
transcript.whisperx[372].text 部長午安 這個我們還需要來關心一下這個嘉峰旅業嘉峰旅業它爆炸導致了26傷其實是很重大的這個公安危機它死者都是移工那這個重傷的三位本國籍、三位外國籍
transcript.whisperx[373].start 10828.047
transcript.whisperx[373].end 10843.436
transcript.whisperx[373].text 其實這完全暴露3K產業的工作環境還有它的職業安全急迫性的提升和改善那我們今天在這裡當然要討論它以外也要再討論如何輔導業者都導業者除了要遵循法尊以外其實更要重視職業安全和衛生
transcript.whisperx[374].start 10845.997
transcript.whisperx[374].end 10857.386
transcript.whisperx[374].text 我們的救福法第54條講到如果僱主因為重大的職災造成移工死亡或失能以廢止聘僱許可等但是這個都是事後啦當然防範於這個事前更重要所以我們在想說你有沒有辦法將重大職災這個預防的這個措施執行狀況列為申請聘僱移工的標準
transcript.whisperx[375].start 10876.68
transcript.whisperx[375].end 10891.385
transcript.whisperx[375].text 該有什麼配套?你聘僱移工的時候要有這樣的能力或者是配套我們才得以准許這樣子那我們再說回來這個根據高雄市政府的說法這個嘉峰旅業他從2021年起他就執行過14次的安慰的勞動檢查
transcript.whisperx[376].start 10897.762
transcript.whisperx[376].end 10918.241
transcript.whisperx[376].text 然後一共發現了五項的違規那這個違規是什麼它違規就是沒有依規定針對新進的勞工或是特殊作業的勞工實施安全教育訓練或者是教育訓練不足包括沒有依規定這個包括以及為依規定實施機械設備還有車輛機械自動檢查
transcript.whisperx[377].start 10925.066
transcript.whisperx[377].end 10943.914
transcript.whisperx[377].text 當時這五項的違規後來沒有開罰沒有開罰的原因是說它在期限內的確改善了所以沒有開罰但是我們都知道現期改善其實是你說你要對新進勞工要做安全教育然後要實施這個機械設備和車輛機械自動檢查都是書面資料書面資料連簡附照片都不用
transcript.whisperx[378].start 10950.905
transcript.whisperx[378].end 10970.111
transcript.whisperx[378].text 所以沒有開罰但是不是真的做了我們不知道老師說了因為這個規定其實你沒有要求這個書面資料也沒有要求要檢附影像資料當然他就書面資料來你當然就認為認定是改善了啦但我們從事後來看他今天是水深入鋁湯當中
transcript.whisperx[379].start 10971.912
transcript.whisperx[379].end 10987.978
transcript.whisperx[379].text 所以對於機械設備的操作還有教育訓練的確就是關鍵可是教育訓練跟機械設備操作它也發生過違規你們也認為它改善了那我們的要求標準其實很低的書面有沒有再檢討的空間可以
transcript.whisperx[380].start 10990.336
transcript.whisperx[380].end 11019.205
transcript.whisperx[380].text 法委員我想因為其實我們他他書面過來之後其實應該你們也會去複查也會去現場複查阿這個有去複查過嗎有有有嗎我們應該怎麼複查法有沒有教育訓練怎麼複查法跟委員報告好我們檢查寫了切結書了現在看的缺失比如說教育訓練這個勞工有沒有教育訓練有沒有教育訓練看回來看有沒有再辦這個教育訓練看教育訓練的紀錄跟相關資料來佐證他有沒有再重複違反如果沒有複查沒有改善就會處罰了
transcript.whisperx[381].start 11020.505
transcript.whisperx[381].end 11038.99
transcript.whisperx[381].text 我告訴你沒有啦我們問過真的不是那樣子連現場今天連這個爆炸現場最荒謬的是這個包括有沒有移工母國語言告示的工作應注意事項有嗎?連這個都有嗎?
transcript.whisperx[382].start 11043.785
transcript.whisperx[382].end 11059.193
transcript.whisperx[382].text 這個也是基本條件啊可能連這個都沒有而且是你們認定有改善不予裁罰書面審查的資料你說你有去複查就我們所知是沒有的就書面審查而已所以我剛剛再加一點說
transcript.whisperx[383].start 11061.601
transcript.whisperx[383].end 11076.826
transcript.whisperx[383].text 工廠的工作現場有沒有落實最基本的你的外勞的移工的母語他的應該告示他應注意事項要以他的母語來告示有沒有都還是問號那我現在要來講監察院怎麼講他這個是屢次違規過去曾經4次
transcript.whisperx[384].start 11081.187
transcript.whisperx[384].end 11099.678
transcript.whisperx[384].text 而四次的違規都跟這一次爆炸事件的疏失有關所以我再一次提醒你但我要講監察院的110年的報告指出移工的職災失能簽人率是本國勞工的兩倍
transcript.whisperx[385].start 11101.619
transcript.whisperx[385].end 11125.933
transcript.whisperx[385].text 那主要的原因是因為移工從事的經常是傳產的工作裡面3K的機器老舊、欠缺安全裝置或者是為了提升產出的速度關閉安全裝置或者是欠缺值錢教育的訓練讓移工的工作更容易發生受傷的意外
transcript.whisperx[386].start 11126.673
transcript.whisperx[386].end 11143.361
transcript.whisperx[386].text 因為缺乏有效的職災的通報平台造成危險機械沒有被勞檢單位查出沒有台灣導致職災事故的發生反覆的這個機率很高
transcript.whisperx[387].start 11145.087
transcript.whisperx[387].end 11158.52
transcript.whisperx[387].text 這份是這個監察院的報告那職災死亡跟職業傷病的這個簽人率他沒有顯著的這個這個明顯可是在失能簽人率很高為什麼你知道有多高嗎
transcript.whisperx[388].start 11165.218
transcript.whisperx[388].end 11178.75
transcript.whisperx[388].text 105年本國籍勞工0.25的簽人率外籍移工是0.6到109年0.21的本國籍的簽人率在外籍移工身上還是0.44
transcript.whisperx[389].start 11185.508
transcript.whisperx[389].end 11210.016
transcript.whisperx[389].text 監察院的糾正報告不是我捏所以我們一定要在針對這些缺失指證我們要可是保定110年捏你說現在110年就告訴你們這個問題很嚴重所以你們對於說他講的3K產業機器老舊欠缺安全裝置或是為了提升產出速度關閉安全裝置或者是欠缺職前教育訓練等
transcript.whisperx[390].start 11212.137
transcript.whisperx[390].end 11226.328
transcript.whisperx[390].text 111年到現在113年了,保證不是說你要回去檢討要改進110年告訴你們到現在也都沒有改進啊我們其實都有一些精進的那你告訴我111年、112年簽人率有下降嗎有本土勞工的兩倍的現象有改進嗎
transcript.whisperx[391].start 11233.834
transcript.whisperx[391].end 11243.138
transcript.whisperx[391].text 防災衛生管理制度、作業流程及必要教育 訓練:立法院第11屆第1會期社會福利及衛生管理制度、作業流程及必要教育 訓練:立法院第11屆第2會期社會福利及衛生管理制度、作業流程及必要教育 訓練:立法院第1會期社會福利及衛生管理制度、作業流程及必要教育
transcript.whisperx[392].start 11254.163
transcript.whisperx[392].end 11268.46
transcript.whisperx[392].text 處長你講得太好了你講說進來本國的時候就要教育訓練可是這是事實嗎?你們對為了強化勞工基本危害辨識能力你們專屬針對移工設立教育安全訓練但僅限於七項啦七項
transcript.whisperx[393].start 11270.779
transcript.whisperx[393].end 11276.202
transcript.whisperx[393].text 我先告訴你你們在這個108年邀請了有關訓練單位代表共同研商針對外籍義工有間歇性操作需求的堆高機起重機吊掛作業人員要研議及洗翻譯的具體做法
transcript.whisperx[394].start 11292.509
transcript.whisperx[394].end 11316.98
transcript.whisperx[394].text 但是你們112年增加了高空工作車操作人員還有洋溢缺溶接裝置等等但是我告訴你這裡面有幾個大問題比如說這個失能裡面這個高空衰落很嚴重的營造業或者是製造業因為製程反覆涉及到化學反應的部分也應該要列入但是你們這個
transcript.whisperx[395].start 11318.661
transcript.whisperx[395].end 11324.709
transcript.whisperx[395].text 要列入可是狀況有幾個第一個你們開班授課對產業義工的涵蓋率預期要多高產業義工幾十萬那你們覺得這個開班授課率能夠涵蓋多廣的範圍
transcript.whisperx[396].start 11333.393
transcript.whisperx[396].end 11355.767
transcript.whisperx[396].text 包委員其實教育訓練的本質是每個工廠的那個樣態是不太一樣的所以我們教育訓練應該是僱主依照工廠樣態給高工比較好的教育訓練那我們進本國的時候是給一般基礎的教育訓練的觀念想法還有旨在補償的一些機制讓勞工知道那回到職場裡面本來就是要讓勞工僱主讓勞工先做教育訓練才可以上工啦
transcript.whisperx[397].start 11355.947
transcript.whisperx[397].end 11357.708
transcript.whisperx[397].text 二、工廠要自行實施的安慰訓練有用移工的母語進行嗎?
transcript.whisperx[398].start 11373.22
transcript.whisperx[398].end 11386.123
transcript.whisperx[398].text 或現場的告示牌全部都有用這個移工的母語告示了嗎這也是一個問號啊所以在這種你講的你也看到了說這個植栽師能力相對高的這個產業然後你要認為要加強一點訓練可是最終政府能夠加強的訓練的數量涵蓋率太少了太低了還是要靠事業單位可是事業單位願不願意做有沒有做問號這要怎麼做
transcript.whisperx[399].start 11402.027
transcript.whisperx[399].end 11421.932
transcript.whisperx[399].text 各位回報,雖然是移工或特殊弱勢族群的教育訓練,現場就是它是弱點,所以要更好的教育訓練。所以我也想說,我們教育訓練的規則,就是僱主的有沒有落實這個程度,我們如果做法制的一些修繕...好,署長你講得太好,但我再告訴你一個事實。你講說僱主有沒有做很重要,那我就要再告訴你僱主有沒有做。
transcript.whisperx[400].start 11422.572
transcript.whisperx[400].end 11430.098
transcript.whisperx[400].text 桃園市政府勞工局執行移工安慰訪視他去查核了344家結果發現高達273家的事業單位不要講說教育訓練啦、安慰訓練啦光是提供外語版本的教育訓練的教材違規比例是八成沒有落實母語教育訓練然後聽我聽不懂也不知道啦然後呢
transcript.whisperx[401].start 11448.812
transcript.whisperx[401].end 11460.321
transcript.whisperx[401].text 在這種狀況裡面這種方式這個我們都知道移工的語言上的隔閡很大嘛溝通上的限制就會造成這個安慰的對自身危害的辨識能力的障礙所以你如何督導事業單位去這個很重要啊
transcript.whisperx[402].start 11465.785
transcript.whisperx[402].end 11494.286
transcript.whisperx[402].text 那我們也知道說沒問題發生就沒問題但發生我們救福法第54條得以廢止聘雇但是監察院的調查報告指出啊過往的政府對重大職災中違反職安法義務的雇主從以前到現在只有救福法只有一個被一個雇主這麼多的這個職災傷害了失能的案例造成失能等等
transcript.whisperx[403].start 11495.006
transcript.whisperx[403].end 11511.861
transcript.whisperx[403].text 只有一個被刪除聘僱額度所以也難怪啊這個政府不敢啟動救福法第54條啦不敢重演啦所以難怪僱主始終將移工當成這個用完急丟的商品反正失能了回去吃自己保險賠一賠然後再給一點錢了事
transcript.whisperx[404].start 11517.006
transcript.whisperx[404].end 11523.911
transcript.whisperx[404].text 我們都以為外籍移工是源源不絕的事實上是不是啊部長你們最清楚知道外籍移工現在不是源源不絕那勞動部你們要落實救福法的規範以外我剛剛講說我們要有些什麼機制來刻意雇主應該要更嚴格的這個責任
transcript.whisperx[405].start 11540.763
transcript.whisperx[405].end 11541.844
transcript.whisperx[405].text 我們現在其實針對重大重大職災的我們都會
transcript.whisperx[406].start 11569.944
transcript.whisperx[406].end 11573.329
transcript.whisperx[406].text 中大職災現在定義已經改了,中大職災是什麼?中大職災要通報的,光是通報的定義都改了啊?
transcript.whisperx[407].start 11580.447
transcript.whisperx[407].end 11602.097
transcript.whisperx[407].text 有事要是住院的就要通報了現在我要講的意思是說你如果造成死亡失能你現在連廢紙他得以繼續聘僱的這個法律工具在那裡蘿蔔跟棒子你蘿蔔沒有給棒子不敢用這整個體系就變成法律失能啊
transcript.whisperx[408].start 11602.737
transcript.whisperx[408].end 11625.502
transcript.whisperx[408].text 委員我們這部份一定會落實來執行我現在在建議勞動部你要研擬在這個執安法的法尊情形要叫他們要實施教育訓練或是工作環境危險標示你這個是不是有使用移工母語語言的招募那個訓練或是現場的工作標示要納入招募許可應備文件和審查項目
transcript.whisperx[409].start 11628.65
transcript.whisperx[409].end 11639.509
transcript.whisperx[409].text 你到底有沒有移工母語的安全標示那你的教育訓練有沒有提供這個部分都有提供而且有訓練那才有資格去聘僱
transcript.whisperx[410].start 11641.175
transcript.whisperx[410].end 11659.044
transcript.whisperx[410].text 其實我是還有一個是臺美21世紀貿易倡議但是主席站起來了所以我就下次再說好了那我們現在在這裡就是說真的是要從這個加封旅業來看啦其實因為這種3K產業
transcript.whisperx[411].start 11661.431
transcript.whisperx[411].end 11688.727
transcript.whisperx[411].text 每一個勞工不管是外籍或是本籍每一個勞動力都是很珍貴的每一個家庭都是靠這個勞工在支撐如果他失能或死亡了他的一家資助變成家裡的負擔變成家人一輩子本來是要來支撐這個家庭變成家庭還要來支撐他所以大家都知道說不能平病啊但一平病以後他們就往下沉淪家庭的處境是更不堪所以
transcript.whisperx[412].start 11689.147
transcript.whisperx[412].end 11711.635
transcript.whisperx[412].text 不僅是發生事情了怎麼樣來賠償他補償他而已更應該要做的是職業安全衛生裡面講的職災預防預防預防是最重要的而我們法律工具擱著不用那個就是對勞工對來講其實最最我覺得是最不應該的啦好謝謝
transcript.whisperx[413].start 11714.465
transcript.whisperx[413].end 11740.846
transcript.whisperx[413].text 好謝謝林淑芬委員接下來請林德福委員發言謝謝主席是不是請那個勞動部徐部長請徐部長林委好部長你好我請教齁因為現在很多高齡加上少子化
transcript.whisperx[414].start 11741.874
transcript.whisperx[414].end 11746.623
transcript.whisperx[414].text 到2023年6月全國的這些老化指數為149那照顧者一旦離職
transcript.whisperx[415].start 11751.584
transcript.whisperx[415].end 11774.659
transcript.whisperx[415].text 人才流失也造成勞動力的折損經濟照顧壓力相當的吃重性別平等工作法雖然明定勞工可以請家庭照顧假但天數不夠且扣薪有民間團體建議比照日本由勞工保險支出
transcript.whisperx[416].start 11776.13
transcript.whisperx[416].end 11802.521
transcript.whisperx[416].text 給予部分的薪資以利民眾安排長輩照顧計劃請問勞動部你們的看法如何當然現在針對這些如何讓勞工不會因為照顧而離職影響到他的經濟影響到產業的發展但是他這個就剛委員講的如果讓這個
transcript.whisperx[417].start 11804.898
transcript.whisperx[417].end 11829.605
transcript.whisperx[417].text 家庭照顧假能夠不影響他的薪資所得但如果說要從勞保來指引那目前勞保財務上是有困難那是不是要參佐其他的政府另外用一個公共這個叫公共化的財源那這個都必須由院的層級跨部會來考量那你們過去完全都沒有去考量到這些就對了
transcript.whisperx[418].start 11830.39
transcript.whisperx[418].end 11844.215
transcript.whisperx[418].text 二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、
transcript.whisperx[419].start 11859.78
transcript.whisperx[419].end 11867.363
transcript.whisperx[419].text 這個沒有加強去落實稽查才讓這些業者心存僥倖勞動部後續以交通部會啟動專案稽查嗎?你們報告委員這個部分針對遊覽車客運業者的駕駛我們每年都有專案檢查
transcript.whisperx[420].start 11877.088
transcript.whisperx[420].end 11890.497
transcript.whisperx[420].text 從106年到現在我們已經執行了900多次那每次違法除了我們依法裁法以外也都會依請那個主管機關交通部加強來督導所以這個部分我們其實一直都有在做
transcript.whisperx[421].start 11891.482
transcript.whisperx[421].end 11909.488
transcript.whisperx[421].text 我是希望你們一定要有一套制度嚴格的去要求規範因為你一而再再而三經常發生來那個部長根據媒體報導國內已經有外籍的司機啊奈及利亞的駕駛啊專門跑台北跟新竹的國道客運啊
transcript.whisperx[422].start 11917.934
transcript.whisperx[422].end 11922.769
transcript.whisperx[422].text 公車司機的人力吃緊問題有縣市首長提議開放外籍司機
transcript.whisperx[423].start 11923.993
transcript.whisperx[423].end 11941.544
transcript.whisperx[423].text 那呼籲參考日本將運輸業駕駛列入可提供居留權的這些特定職業技能來吸引外籍人士投入公車司機解決通勤的民眾需求那本席是認為說除了駕駛技術外還必須要通過華語的測驗
transcript.whisperx[424].start 11947.327
transcript.whisperx[424].end 11976.534
transcript.whisperx[424].text 必須要確保外籍駕駛能夠正確回應乘客的問題這是關鍵的因素部長你有什麼看法報告委員關於那個司機缺工的問題我們其實勞動部也協助那個交通部訓練司機也幫助媒合那當然要開放外籍的司機這部分他其實是屬於白領那這個部分整個全責是在交通部那由他來做各方的評估以後
transcript.whisperx[425].start 11977.074
transcript.whisperx[425].end 11978.995
transcript.whisperx[425].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及
transcript.whisperx[426].start 11997.587
transcript.whisperx[426].end 11999.348
transcript.whisperx[426].text 有關勞動部主管預算凍結案21案及勞動部主管預算凍結案
transcript.whisperx[427].start 12016.525
transcript.whisperx[427].end 12039.427
transcript.whisperx[427].text 任何可行我們是尊重所有機關的決定因為這是當下存在的問題要未雨綢繆你該怎麼要求該怎麼做你們一定要提出一些看法我再請教最後一個議題上個月華航維修公安的意外造成維修人員往生請問勞動部後續處理的情況如何
transcript.whisperx[428].start 12040.438
transcript.whisperx[428].end 12041.879
transcript.whisperx[428].text 有關疫情解封後,航空業復甦、有關地勤、空服員、
transcript.whisperx[429].start 12065.181
transcript.whisperx[429].end 12087.617
transcript.whisperx[429].text 這個機師以及維修人員的勞工權利本期是希望勞動部與交通部要好好的去稽查這些工作因為馬上就是暑假出國的旺季即將到來本期不希望上演航空業罷工的這種狀況勞動部要趁早介入協商以維護民眾的權利部長你有什麼看法
transcript.whisperx[430].start 12089.028
transcript.whisperx[430].end 12109.195
transcript.whisperx[430].text 這個我們會來正式我希望很多事情你就是一定要事前去規劃不要事到臨頭然後很雜亂這個就是很這個一團亂我是希望勞動部這方面多用點心謝謝謝謝委員好謝謝林德福委員接下來請黃國昌委員發言
transcript.whisperx[431].start 12133.343
transcript.whisperx[431].end 12135.867
transcript.whisperx[431].text 二、系統主席麻煩有請部長請許部長黃委員好部長好蔡英文總統說勞工是她心裡面最軟的這一塊
transcript.whisperx[432].start 12148.17
transcript.whisperx[432].end 12177.129
transcript.whisperx[432].text 這個理念我支持但是真的是這個樣子必須要經過檢驗近紅大火的時候五個消防員續職總統承諾不會讓他們白白犧牲這是2018年的事情現在已經2024年了結果我們的消防弟兄最在意的事情是他們在執行職務的時候到底有什麼辦法可以去保護他們研議了六年
transcript.whisperx[433].start 12178.03
transcript.whisperx[433].end 12203.285
transcript.whisperx[433].text 各個單位都還在踢皮球從人事總署踢到保訓會踢到消防署我剛還沒有點名到勞動部但我們最近跟消防弟兄舉行了一場座談因為我希望第一線聽他們的心聲他們真的要的是什麼他們的立場現在很簡單
transcript.whisperx[434].start 12205.078
transcript.whisperx[434].end 12216.261
transcript.whisperx[434].text 這一個公務人員安全及衛生防護辦法根本沒有用他們現在的訴求很清楚全面適用職業安全衛生法部長贊不贊成因為這個院的陳琦這邊有開過會那因為消防員主任院的陳琦開過會誰主持的誰主持的政府院長
transcript.whisperx[435].start 12234.762
transcript.whisperx[435].end 12260.782
transcript.whisperx[435].text 綜文燦主持的會議的結論是什麼會議的結論是說我們在消防法的那我現在就明確的跟你講嘛消防弟兄他們就不要在消防法裡面增訂嘛他們認為消防署根本沒有那個專業嘛可以保護他們的職業安全衛生嘛他們現在希望的是全面適用職業安全衛生法身為部長聽到我們的打火英雄提出這樣的訴求
transcript.whisperx[436].start 12262.503
transcript.whisperx[436].end 12285.397
transcript.whisperx[436].text 同不同意?這個報告委員保護我們消防的安全這個部分我是絕對支持不要講空話啦講具體的適用的法律因為這個部分全責機關在內政部消防署消防署目前也有在跟消防公會的弟兄我就很明確的跟你講嘛消防弟兄就不贊成消防署放在消防法裡面嘛
transcript.whisperx[437].start 12286.499
transcript.whisperx[437].end 12309.067
transcript.whisperx[437].text 你先不要去管消防署怎麼講啦我現在是請教你從勞動部長的角度對於打火英雄這樣的訴求你有什麼樣子的看法 贊不贊成你可以講一句啊說愛難照辦 做不到這個也是一個答案嘛報告委員 我的意思是說保障他的職業安全這是我一定支持的啦
transcript.whisperx[438].start 12309.807
transcript.whisperx[438].end 12333.402
transcript.whisperx[438].text 只是說你要 這個在哪一個法律系裡面 這不是我能夠來做決定啦所以拍板的是鄭文燦嘛 對不對 是不是你們說你們院裡面有開會嘛 主席是鄭文燦嘛就是說他有召集相關部會來做討論 但是大家立場是一致的好 沒有關係齁 之前部長曾經說過警消人員的保護不能低於勞工朋友
transcript.whisperx[439].start 12334.639
transcript.whisperx[439].end 12360.331
transcript.whisperx[439].text 你也是在這個會議室裡面對其他的立委做這樣的宣誓嗎我們到時候具體的檢驗看到時候你們所要推出來的法律是不是有低於勞工朋友那我下一個比較好奇的事情是民間的消防隊勞工他們適用的是什麼法民間的消防隊勞工適用的是我們職安法那就奇怪啦
transcript.whisperx[440].start 12361.618
transcript.whisperx[440].end 12386.859
transcript.whisperx[440].text 民間的消防隊勞工適用職安法我們真正的消防弟兄不是用職安法這是一國兩制民間的保護反而比我們政府聘的還要好是這樣嗎?對嘛!現在你又在講身份但我跟你講的是實職嘛民間的消防隊可以適用到職安法嘛
transcript.whisperx[441].start 12390.563
transcript.whisperx[441].end 12395.047
transcript.whisperx[441].text 那我們自己的打火弟兄沒有辦法適用職安法嗎這不是一國兩制嗎
transcript.whisperx[442].start 12397.277
transcript.whisperx[442].end 12420.274
transcript.whisperx[442].text 這哪裡有我們的消防員受的保護會比較好或者是不會低因為消防員他還是公務人員啦公務人員是身份的問題這個我了解吧公務人員的身份保障他的考權這個我都了解嘛現在我們在講的是他在實際做他的勞動行為的時候他所應該要受到的保護嘛
transcript.whisperx[443].start 12420.914
transcript.whisperx[443].end 12433.26
transcript.whisperx[443].text 是那部長你不會覺得很奇怪嗎民間的消防隊是用職安法結果我們的打火弟兄希望比照是用職安法我們的政府卻在推拖拖拉拉的藉口一堆
transcript.whisperx[444].start 12436.653
transcript.whisperx[444].end 12459.654
transcript.whisperx[444].text 這個報告我剛剛就講說現在就是願意就是說我們在好沒有關係啦部長你今天在這邊的回答齁我相信全國的打火弟兄都聽到了你有你的立場他們接不接受那是另外一個問題好蔡總統啊上任的時候他說啊勞工政策六大保障
transcript.whisperx[445].start 12460.755
transcript.whisperx[445].end 12488.434
transcript.whisperx[445].text 部長你覺得在蔡總統快要卸任的時候這勞工政策六大保障政見達成率有多少你打幾分分數是我不自己打分數不過我們大部分的政見都大部分的政見都怎麼樣這個六大保障我們應該都有都有去做到都有做到好來我們一樣一樣看今天時間的關係我也不曉得主席會給我延多久但
transcript.whisperx[446].start 12489.622
transcript.whisperx[446].end 12516.435
transcript.whisperx[446].text 我就尊重主席的才事啦台灣人月薪平均58,545這是我們主計總署講的這個有反映實際的狀況嗎這是平均嘛對 這個我了解嘛有多少人沒有達到這個平均值部長你知不知道部長你知不知道有多少人沒有達到這個平均值至少一半以上吧
transcript.whisperx[447].start 12517.577
transcript.whisperx[447].end 12522.644
transcript.whisperx[447].text 你作為部長我老實講薪資的distribution你要比我還熟
transcript.whisperx[448].start 12524.683
transcript.whisperx[448].end 12547.434
transcript.whisperx[448].text 來我秀給部長看啊百分之70以上的勞工是低於平均數的我從來不講空洞的東西啊我一定拿具體的數字出來講百分之70以上的勞工是低於平均數的但更重要的事情是什麼低於平均薪資的勞工比例啊年年攀升
transcript.whisperx[449].start 12548.494
transcript.whisperx[449].end 12566.86
transcript.whisperx[449].text 這代表什麼意思?新資結構的扭曲在平均新資以下的勞工比例越來越高從勞動部的角度上面來講我必須要講這是一個警訊但更重要的事情是什麼?但更重要的事情是我們的新資年增率
transcript.whisperx[450].start 12568.502
transcript.whisperx[450].end 12594.423
transcript.whisperx[450].text 遠遠落後於南韓這個數字喔是央行做出來的喔央行做出來的數字說台灣的薪資年增率遠遠落後於南韓但是為了是什麼因為我們勞工佔GDP比例不斷的下降嘛作為勞動部的部長您認為台灣過去這幾年整個經濟成長的果實有公平的分配到勞工身上嗎
transcript.whisperx[451].start 12598.01
transcript.whisperx[451].end 12608.707
transcript.whisperx[451].text 這個當然還不足啦這個當然還不足嘛好不足那作為勞動部部長你認為應該要怎麼樣努力才可以讓我們的勞工他可以分配到我們經濟成長的果實
transcript.whisperx[452].start 12611.328
transcript.whisperx[452].end 12629.848
transcript.whisperx[452].text 具體的辦法是什麼你也承認不足了嘛那我現在請教你具體的辦法是什麼報告委員吼其實勞工薪資的一個提升吼是要跨部會啦吼來努力啦吼所以你的意思就是不管你勞動部不是不是只有你勞動部的事嘛要跨部會來努力嘛跨部會來努力啊說得很好
transcript.whisperx[453].start 12630.208
transcript.whisperx[453].end 12640.136
transcript.whisperx[453].text 那又如何跨部會來努力?你總不能講空話嘛!如何跨部會來努力?現在我在請教你的是你具體的措施到底是什麼嗎?央行的那份報告部長你有看嗎?央行提供一個最重要的政策建議對勞動部來講是什麼你知道嗎?
transcript.whisperx[454].start 12658.527
transcript.whisperx[454].end 12686.152
transcript.whisperx[454].text 他是認為我們調整幅度上可以再更...你贊不贊成央行的看法報告委員我們這幾年是這樣子因為也碰到疫情啦吼我們是沒有關係啦我尊重啦我知道我不是本委員會的委員啦本委員會的委員演的時間可以比較多啦非本委員會的委員我尊重主席的才是啦沒有委員已經超過4分鐘了吼好那是不是請剛剛超過的時間只有4分鐘嗎再請那個你要不要調會議紀錄出來看委員說明
transcript.whisperx[455].start 12688.232
transcript.whisperx[455].end 12690.174
transcript.whisperx[455].text 你這樣主持議事有中立嗎?接下來請賴氏寶委員
transcript.whisperx[456].start 12719.116
transcript.whisperx[456].end 12724.502
transcript.whisperx[456].text 謝謝主席以及各位先進有請許部長請許部長委員好你好我比較關心啊這個
transcript.whisperx[457].start 12734.787
transcript.whisperx[457].end 12749.844
transcript.whisperx[457].text 勞保外面的數字啊都大家很擔心了一點說2028年會破產假如都按照現在現況走的話勞保的潛在負債
transcript.whisperx[458].start 12752.09
transcript.whisperx[458].end 12771.262
transcript.whisperx[458].text 12兆之多這兩個數字你要不要回應一下報告委員這個2028破產對不對這個2028基金用期是根據上一次的這個精算報告我們精算報告是每三年精算一次今年今年還會再精算那這個
transcript.whisperx[459].start 12774.304
transcript.whisperx[459].end 12777.386
transcript.whisperx[459].text 2011年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[460].start 12805.185
transcript.whisperx[460].end 12817.794
transcript.whisperx[460].text 到目前為止一共2670億去年多少去年是550公務預算450特別預算100所以去年是550那今年呢公務預算1200加上特別預算100所以今年是1300那這從109到現在這5年撥補了總編列的預算是26702670億元
transcript.whisperx[461].start 12833.525
transcript.whisperx[461].end 12846.977
transcript.whisperx[461].text 這這樣可以撐多久他可不可以這樣的撥補我就問你一個比較白話的啦齁政府要每年撥補勞保多少錢讓勞保不會在2028年破產那個簡單報告委員因為沒辦法算
transcript.whisperx[462].start 12854.249
transcript.whisperx[462].end 12880.025
transcript.whisperx[462].text 如果我們都目前吼 報告委員 如果我們按照現在來講現在如果按照今年的一千三吼 要報一千三的話是到一百二十二年吶就二零二十二而已啊不是咧 一百二十二年是二零二十二一百二十二那就是二零一九一二零三三所以通五年確定喔
transcript.whisperx[463].start 12881.212
transcript.whisperx[463].end 12883.141
transcript.whisperx[463].text 今天這個是全國都在看那個數字
transcript.whisperx[464].start 12884.577
transcript.whisperx[464].end 12910.173
transcript.whisperx[464].text 所以就每年要給你補多少嘛就是問你這個數字你一直沒有回答我希望每年補多少最少五百最好一千更好兩千你不要講那麼快不是報告委員我們當然勞保的撥補我們希望就是因為他的撥補是對財務的穩定是有幫助的啦齁如果說政府的財政許可齁能夠多撥補我想會讓勞工更安心啊你心裡總要有數字嘛你這個身為勞動部的部長
transcript.whisperx[465].start 12913.015
transcript.whisperx[465].end 12921.197
transcript.whisperx[465].text 你應該說我最少政府應該給我每年多少以前我們就算過上一屆我們就算過其實每年給你1000億可能都要不夠
transcript.whisperx[466].start 12923.342
transcript.whisperx[466].end 12923.822
transcript.whisperx[466].text 所以陳建仁院長他主持年輕改革
transcript.whisperx[467].start 12952.295
transcript.whisperx[467].end 12971.087
transcript.whisperx[467].text 他 說勞保是要一起改的結果勞保卻不敢改啊你就給你一千億都不夠了你就被破產了怎麼敢改呢所以這一塊根本就不敢改嘛只要找公家人員拚命來開刀而已啊變這個樣子第二個我想請問你那個下一次的公視條長什麼時候
transcript.whisperx[468].start 12973.556
transcript.whisperx[468].end 12986.573
transcript.whisperx[468].text 審議會什麼時候開?下一支最低工資是不是?今年的第三季第三季喔通常我們就是7、8、9這三個月我看了一下這個相關的資料你們說要把CPA納入來考慮
transcript.whisperx[469].start 12988.255
transcript.whisperx[469].end 13000.61
transcript.whisperx[469].text CPA是法定的喔我們大院通過的就是說因拆採的數據一定要考慮CPI那其他得拆採的數據還有10項這些最後還是你們決定
transcript.whisperx[470].start 13004.955
transcript.whisperx[470].end 13007.736
transcript.whisperx[470].text 你現在講說勞工現在平均薪資多少?勞工的平均薪資多少?平均嗎?你說全國的?全國剛剛大概4萬多啊5萬8現在講4萬多
transcript.whisperx[471].start 13032.742
transcript.whisperx[471].end 13035.766
transcript.whisperx[471].text 二、處理中華民國113年度中央政府總預算凍結案21案及
transcript.whisperx[472].start 13049.281
transcript.whisperx[472].end 13076.336
transcript.whisperx[472].text 平均啊我跟你講三分之二的勞工是低於平均薪資的第一個數字告訴你第二個數字我要告訴你一般來講說這個國家這個社會我們對勞工到底照顧到什麼程度有一個指標很重要就企業賺的錢分多少給資本家多少給勞工
transcript.whisperx[473].start 13078.404
transcript.whisperx[473].end 13081.507
transcript.whisperx[473].text 臺灣這幾年平均45%就是給勞工的45%歐盟都超過50%日本超過50%韓國超過50%許部長我的時間到囉這個我就請你很簡短的講你身為勞動部的部長你如何的爭取
transcript.whisperx[474].start 13103.353
transcript.whisperx[474].end 13114.258
transcript.whisperx[474].text 讓企業賺的錢多一點給勞工這個比什麼都重要我剛剛講了全世界大家在排我們是排在後面的我們賺的錢賺10塊錢給勞工不到5塊錢只有4塊半
transcript.whisperx[475].start 13119.281
transcript.whisperx[475].end 13147.364
transcript.whisperx[475].text 歐盟都超過50%的美國當然不用講美國日本韓這個韓國都是超過50%我們低於50%這是一個很重要的指標我覺得部長你一定要想辦法是捍衛我們勞工的薪資啦你這樣子的話最低工資嘛休錢才有意義否則的話那看來數字齁薪水這麼高的這麼低的他平均起來喔好高喔事實上你去問一下平均能多少
transcript.whisperx[476].start 13148.124
transcript.whisperx[476].end 13155.398
transcript.whisperx[476].text 平均領多少?三分之二領不到平均薪資這給你舒適好不好你緊急再信是謝謝
transcript.whisperx[477].start 13156.872
transcript.whisperx[477].end 13178.898
transcript.whisperx[477].text 好,謝謝賴世寶委員在這邊做以下的宣告我們中午就不休息那因為後面還有很多委員要發言那請部長如果剛剛在質詢台上來不及說明的請會後再跟委員做一個說明那可以用餐不用客氣可以用餐好,那接下來請陳培宇委員
transcript.whisperx[478].start 13185.759
transcript.whisperx[478].end 13187.785
transcript.whisperx[478].text 有關罪犯罪犯罪犯罪犯罪犯罪
transcript.whisperx[479].start 13191.525
transcript.whisperx[479].end 13194.508
transcript.whisperx[479].text 衛生管理制度、作業流程及必須要有效的糾正跟補救措施。後續在相關的法規我們也看到這個
transcript.whisperx[480].start 13217.348
transcript.whisperx[480].end 13242.705
transcript.whisperx[480].text 勞動部有一個違反勞動法令事業單位跟僱主的查詢系統我們以現在畫面上看到這四項四個案件為例喔那部長您知不知道這個系統他所放的是什麼樣的人會不會什麼樣的單位會放在上面他到底違反了哪一條哪一個部分這個就是違反僱主的防治義務的或者是說他知情他沒有通報他沒有積極處理齁對通報的還沒有那個
transcript.whisperx[481].start 13247.219
transcript.whisperx[481].end 13274.872
transcript.whisperx[481].text 主管在這邊你好像還沒有通報的還沒有完成我跟部長您確認一下好來沒關係那部長你的幕僚幫您說明一下剛上路通報系統剛上路那這個部分的話我們建制完畢那這個是處罰系統對處罰系統部分的話顧主的通報義務應通報而未通報的那個處罰目前因為3月8號才剛開始所以後面如果有違法的那個事件的話那地方政府採取以後就會通報進來
transcript.whisperx[482].start 13275.832
transcript.whisperx[482].end 13289.219
transcript.whisperx[482].text 對沒錯就是您剛講這個部分可是我們發現如果我是實習生我是實習生本人或者是我是實習生在學校指導老師我其實並不知道我的孩子我的學生或是我實習生本人即將要去實習的那個場域有沒有違反相關您剛說這個法律的問題於是呢我們就跟你們勞動部事先先請教過了確實目前這個系統他沒有辦法把資料再帶回報回去給教育部或者是各項教育單位
transcript.whisperx[483].start 13303.226
transcript.whisperx[483].end 13329.617
transcript.whisperx[483].text 也就是說我們其實沒有辦法確保這些之前違反過相關法令的業主或者是單位他們在找實習生的時候其實孩子們是不知道他曾經有犯過這個相關的法規那我們這邊是不是可以快速跟勞動部討論一下有沒有什麼機制你們可以把這個資料倒回去給教育部或是因為教育部目前如果我要確保我的學生去的單位他沒有這個所謂的不適應教育人員我們可以讓學校端我一般個人還不能查
transcript.whisperx[484].start 13330.797
transcript.whisperx[484].end 13352.202
transcript.whisperx[484].text 是學校端他必須要去教育部的一個系統就是不適任教育人員可是我並不知道他即將去的這個場域教育部好像有一個系統啊沒有就是教育部那個叫做不適任教育人員系統所以他是針對一個一個一個的人員如果他有性騷或者是其他的事情他被指認為不適任老師而且一般人不能查部長一般人不能查
transcript.whisperx[485].start 13354.443
transcript.whisperx[485].end 13358.967
transcript.whisperx[485].text 除了學校可以查可是我們現在想既然勞動部你們已經有這個系統而且一般人可以查我們可不可以請你們協助教育部可以可以這個部分委員如果這個部分我請那個業務單位跟教育部這邊對一下我覺得這個我們應該要去把它建制啦該有所為而沒有
transcript.whisperx[486].start 13377.063
transcript.whisperx[486].end 13378.144
transcript.whisperx[486].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及
transcript.whisperx[487].start 13396.964
transcript.whisperx[487].end 13405.549
transcript.whisperx[487].text 應該是讓學生本人實習生本人可以查這個比較重要實習生本人他要意識到我要來查這件事情所以教育部從上到教育部到地方教育局處再到各個實習學校大家都要意識到說原來我要實習前我去查
transcript.whisperx[488].start 13411.733
transcript.whisperx[488].end 13413.074
transcript.whisperx[488].text 實習生去這邊稍微注意一下有沒有這個機制目前是沒有的啦
transcript.whisperx[489].start 13441.613
transcript.whisperx[489].end 13441.959
transcript.whisperx[489].text 懷疑有關勞動部主管預算
transcript.whisperx[490].start 13442.625
transcript.whisperx[490].end 13442.825
transcript.whisperx[490].text 謝謝部長 謝謝委員
transcript.whisperx[491].start 13471.806
transcript.whisperx[491].end 13477.832
transcript.whisperx[491].text 事業單位應加強安全衛生管理制度、作業流程及必要教育 訓練:一、邀請勞動部部長就:「事業單位應加強安全衛生管理制度、作業流程及
transcript.whisperx[492].start 13493.277
transcript.whisperx[492].end 13506.444
transcript.whisperx[492].text 養老人好部長好部長我們繼續討論喔我每一次都跟你討論本席跟你討論喔我們現在2023年你的這個老闆基金的精算啦吼你的負債現在多少錢償負債啦吼錢償負債大概12兆多吼12兆13兆多吧要扣掉責任準備
transcript.whisperx[493].start 13519.295
transcript.whisperx[493].end 13544.373
transcript.whisperx[493].text 他有一個責任準備金啦,如果...對...如果加起來...對啦...如果精算現在...如果是整個加起來精算負債是13兆13...將近要13.5兆了啦,部長我每一次跟你討論這個,因為上一個年度你是12.3兆啦你又把我整個7000多億了啦
transcript.whisperx[494].start 13546.004
transcript.whisperx[494].end 13559.845
transcript.whisperx[494].text 那這怎麼辦那所以我一直在跟你討論平均每一個人的老百負背負的是要56萬那你如果2020年你精算的是11.5兆那今天呢怎麼辦
transcript.whisperx[495].start 13561.277
transcript.whisperx[495].end 13575.882
transcript.whisperx[495].text 每一次本席跟你說你都說你跟他們在討論啟動年金改革還有你會告訴本席一句話政府沒辦法勞動部一定沒辦法不要再用這種言語啦這種騙術喔這種話術不好聽啦詐騙的話術不好聽來我們實質來討論
transcript.whisperx[496].start 13582.944
transcript.whisperx[496].end 13598.482
transcript.whisperx[496].text 不過本席在看到你今天所送來的你的預算解凍案的報告當中你還是跟過去一樣啊你的答案還是一樣在研擬修法你己各藉意見部長我們現在進度到底到哪裡
transcript.whisperx[497].start 13600.595
transcript.whisperx[497].end 13624.165
transcript.whisperx[497].text 部長,現在進度到哪裡?就持續在收集意見你還跟你的書面資料一樣啊,你每一次都講一樣的啊你時間點勒,你的KPI制定在哪裡?你的時間表跟你的具體進展是怎麼樣?沒有這樣負債一直增加,然後每一次都告訴我們這個答案啊政府不會倒,政府如果沒倒,勞保不會倒,我會怕咧?
transcript.whisperx[498].start 13627.23
transcript.whisperx[498].end 13634.567
transcript.whisperx[498].text 我持續再提起社會意見那現在怎麼辦?你的進度告訴我進度好不好?
transcript.whisperx[499].start 13635.954
transcript.whisperx[499].end 13660.185
transcript.whisperx[499].text 報告委員因為就是這個勞保年改因為牽涉到千萬的勞工60萬的投保這個理由都很清楚已經這麼多年了8年了到底有沒有進度請告訴我們這也是你告訴我們的我按年金改革啊8年了你進度告訴我進度方面我們有共識的部分就是撥補這一塊我們有做到撥補我請問現在現在要撥補給你多少
transcript.whisperx[500].start 13664.974
transcript.whisperx[500].end 13665.435
transcript.whisperx[500].text 這個對財務的這個穩定是有幫助的
transcript.whisperx[501].start 13674.295
transcript.whisperx[501].end 13694.281
transcript.whisperx[501].text 部長你身為我們勞動部的部長你要站在勞工這邊啦我們就是站在勞工這邊要檢出撥補啊這撥補也好讓勞工安心嘛這個是治標不會治本所以你的根本是你答應我們的要年金改革所以本市還是告訴你請你把你的時間表具體的進展
transcript.whisperx[502].start 13699.002
transcript.whisperx[502].end 13703.845
transcript.whisperx[502].text 順便資料給本席新政府會進行改革嗎?請教新政府會不會進行改革?會不會持續改革?我不能代表新政府來回答你沒有信心你繼續做保證是嗎?你為什麼這樣子推責任不負責任你現在是部長喔我現在還是
transcript.whisperx[503].start 13728.977
transcript.whisperx[503].end 13756.929
transcript.whisperx[503].text 還是現任的勞動部部長啊所以你現在沒得到諮詢是不是對我已經講過了我說我現在就是做好目前的工作希望能夠順利交通給在意的嘛好我還是告訴你有政府不會倒這樣子的口號請你不要再用這種口號騙術、話術、白粉刷已經這麼多年了請你注意聽把你改革的進度你的時間表跟具體的進展書面資料給本席
transcript.whisperx[504].start 13758.191
transcript.whisperx[504].end 13760.031
transcript.whisperx[504].text 應照頁最近113年設定應照頁墜落打擊年,因為在整個111年裡頭
transcript.whisperx[505].start 13782.196
transcript.whisperx[505].end 13805.431
transcript.whisperx[505].text 那我們看到墜落的部分是佔了70%所以113年設定營造業墜落打擊年那請教目前你們怎麼樣去改善之?你的人員你檢查人員夠不夠要怎麼去改善請教部長竟然有這個口號出來就是嚴重的問題怎麼改善他?怎麼防止他?
transcript.whisperx[506].start 13808.313
transcript.whisperx[506].end 13814.055
transcript.whisperx[506].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[507].start 13835.393
transcript.whisperx[507].end 13840.357
transcript.whisperx[507].text 二、處理中華民國113年度中央政府總預算有關勞動部主管預算凍結案21案及二、處理中華民國113年度中央政府總預算有關勞動部主管預算凍結案21案及
transcript.whisperx[508].start 13862.034
transcript.whisperx[508].end 13868.786
transcript.whisperx[508].text 能夠完成不要再墜落了最後一個議題馬上最後謝謝主席最後一個議題漲價了我們勞工怎麼辦
transcript.whisperx[509].start 13872.802
transcript.whisperx[509].end 13883.713
transcript.whisperx[509].text 關於自來水公司我問他說你電價漲了之後你會增加多少成本他告訴我10億我問了經濟部長那是你所屬的你會不會給他10億沒有那是怎麼辦我們電價怎麼辦陳院長說漲價跟電價它沒有直接的關係我們說電價
transcript.whisperx[510].start 13892.842
transcript.whisperx[510].end 13911.96
transcript.whisperx[510].text 已經開始要漲價囉怎麼辦民生很苦勒勞工很苦勒怎麼辦還是要吃飯啊怎麼辦通勤族的觀光捷運因為漲價他要增加多少電費增加他的成本會增加會不會轉嫁到通勤族我們都好緊張耶都很緊張耶連一個麵包我們也很緊張耶你看一個麵包電要給他加好
transcript.whisperx[511].start 13917.905
transcript.whisperx[511].end 13923.11
transcript.whisperx[511].text 三萬元的這個電費他會不會漲價你認為會不會漲價因為電價漲而產生物價會漲你認為會不會漲是有可能大家都同意啊國防會主委說會漲啊那我們的勞工怎麼辦
transcript.whisperx[512].start 13934.722
transcript.whisperx[512].end 13955.453
transcript.whisperx[512].text 所以這個部分我們會持續關注你要怎麼關注對這個消費者物價指數的影響他會漲啊那老公怎麼辦你的最低薪資最低工資法對那個CPI對消費者物價指數年增率這個是因參財指標法定因參財指標那其實這個CPI就是包括了
transcript.whisperx[513].start 13956.574
transcript.whisperx[513].end 13983.414
transcript.whisperx[513].text 居住類相關的指數彩米油鹽包括電所以現在通通都會漲一定都會漲所以你要怎麼辦今年我們在討第三季我想最低工資審議會在討論什麼事要討論第三季在7、8、9我們最低工資都是第三季決定我想到時候委員會斟酌相關的因素去做一個合理的決定所以我要你一個資料電價上漲對於勞工的衝擊
transcript.whisperx[514].start 13986.331
transcript.whisperx[514].end 13998.501
transcript.whisperx[514].text 你請書面資料給本席在你第三季要開會的時候你要怎麼樣建議方案讓我們勞工可以穩定生活好不好謝謝好謝謝楊瓊英委員接下來請羅志強委員發言主席有請部長請許部長
transcript.whisperx[515].start 14015.991
transcript.whisperx[515].end 14034.964
transcript.whisperx[515].text 羅文浩部長好我想接續剛剛楊瓊玉委員的一個提醒我看到我們的那個勞保的負債楊瓊玉委員數據指出2023年是13兆然後但是我們現在勞保改革按大家心中說有政府不會倒他是提醒不要一直在講這句話對不對你認同嗎
transcript.whisperx[516].start 14038.362
transcript.whisperx[516].end 14055.122
transcript.whisperx[516].text 因為會講這句話是要讓勞工安心絕對不是騙數為什麼就是因為這是政府辦的保險這是社會保險國家的社會保險我為什麼跟你講尤其最近少講知道嗎因為最近如果這個邏輯成立的話有政府台電也不會倒那不要漲電價了對不對
transcript.whisperx[517].start 14056.88
transcript.whisperx[517].end 14079.361
transcript.whisperx[517].text 所以有政府不會倒說真的是一個非常非常簡化的一個說法那勞保的問題還是要透過根本性的改革才有辦法去支撐下去否則那你照這個邏輯講的話電價真的也不用漲反正有政府不會倒我想請教部長您的報告裡面有關於說職業安全衛生的經濟我看到一個
transcript.whisperx[518].start 14080.499
transcript.whisperx[518].end 14104.361
transcript.whisperx[518].text 勞動部的報告說把死亡人數下降當作減災有成效的證明嘛對不對那我想請教您其實不只是死亡啦包括死亡永久全失能永久部分失能跟暫時全失能的失能傷害次數是不是也應該作為職業安全衛生的改善指標呢是
transcript.whisperx[519].start 14104.901
transcript.whisperx[519].end 14106.722
transcript.whisperx[519].text 我告訴你就是2020年、2021年跟2022年
transcript.whisperx[520].start 14130.325
transcript.whisperx[520].end 14136.232
transcript.whisperx[520].text 所以就是這連續三年分別高達12,010人、12,830人跟12,662人次那我想請教您為什麼會一直這樣子創新高呢?
transcript.whisperx[521].start 14148.047
transcript.whisperx[521].end 14170.548
transcript.whisperx[521].text 因為我們那個災保法通過以後對失能者的一個照顧保護更周全這個有可能就是讓這些失能者願意來通報然後領取相關給付那我再跟您說看我看到數字事實上除了您剛剛講的通報問題以外跟我們的工時數也有關係對不對
transcript.whisperx[522].start 14174.134
transcript.whisperx[522].end 14176.895
transcript.whisperx[522].text 中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[523].start 14191.294
transcript.whisperx[523].end 14217.042
transcript.whisperx[523].text 我告訴你好了80億9765萬小時啦所以我們的總工時其實正在不斷的上升那當然這也不是唯一指標啦可是我們如果再繼續看細部的就是說我們用人次處理工時的私人傷害頻率來看的話你知道馬政府上任前的2007年頻率是多少嗎
transcript.whisperx[524].start 14218.799
transcript.whisperx[524].end 14219.94
transcript.whisperx[524].text 公職的私人傷害頻率﹖
transcript.whisperx[525].start 14235.228
transcript.whisperx[525].end 14252.052
transcript.whisperx[525].text 我已經跟你講我要從這個鋪陳的是人次除以公時的這就平均數了嘛對不對的私人傷害頻率的話請問馬政府這個上任前2007年的頻率是多少你知道嗎我告訴你啦是2.33啦到2016年他卸任的時候是降到1.44
transcript.whisperx[526].start 14258.905
transcript.whisperx[526].end 14275.132
transcript.whisperx[526].text 那現在蔡英文總統是從2016年的1.44到2022年的1.56那顯然我覺得私人傷害頻率的這個增加不管是從總數跟人次來看的話我覺得不能只推給通報
transcript.whisperx[527].start 14276.784
transcript.whisperx[527].end 14291.238
transcript.whisperx[527].text 對,沒關係委員我覺得齁您這個數據給我們齁就來檢討看看說到底關聯性是怎樣我覺得這個我們就把它深究一下來您覺得什麼補這個加強齁改進措施也就提供個書面資料給我
transcript.whisperx[528].start 14293.36
transcript.whisperx[528].end 14308.236
transcript.whisperx[528].text 另外我還有就是覺得勞動部在關心職業安全的部分我覺得可以更專心一點你知道為什麼嗎?因為我看到你的官網上職業安全的宣導專區你知道幾項宣導在上面嗎?
transcript.whisperx[529].start 14309.926
transcript.whisperx[529].end 14334.774
transcript.whisperx[529].text 就四項啦其中一項跟職業安全毫無關聯是經濟部投資臺灣三大方案的延長三年圖卡當然我必須說啦這個投資這個延長這個宣傳政績很重要啦可是我覺得要放對地方吧而且重點是各項宣傳品的發布日期從你官網來看的話2015年以後就再也沒有更新
transcript.whisperx[530].start 14335.834
transcript.whisperx[530].end 14349.919
transcript.whisperx[530].text 所以我是這樣覺得啦,就是說從我們的職業安全這一塊來講的話,我覺得部里齁,真的我覺得不管是宣導跟作為上都還是有更加努力的空間啦。好,我們會加強。好,以上,謝謝您。謝謝羅志強委員。接下來請洪孟楷委員發言。
transcript.whisperx[531].start 14373.085
transcript.whisperx[531].end 14389.095
transcript.whisperx[531].text 有關違反勞基法、性別工作平等法等裁罰公告都是由地方的勞工行政主管機關自行建立違反法規的公告專區後來讓事業單位可以有所警惕民眾可以公開查詢
transcript.whisperx[532].start 14389.835
transcript.whisperx[532].end 14409.679
transcript.whisperx[532].text 那勞動部為了方便民眾來查詢所以說整合各地方機關的公告資料建立了違反勞動法令事業單位主管機關的這個查詢系統請教現在當初建設這個違反雇主系統的主要目的跟預期效果是什麼
transcript.whisperx[533].start 14414.42
transcript.whisperx[533].end 14419.602
transcript.whisperx[533].text 二、處理中華民國11年度中央政府總預算凍結案21案及二、處理中華民國11年度中央政府總預算凍結案21案及二、處理中華民國11年度中央政府總預算凍結案21案及
transcript.whisperx[534].start 14444.991
transcript.whisperx[534].end 14464.521
transcript.whisperx[534].text 來我們有看到勞基法公會法如果有違反的話後面你都還有特別標註這所謂的罰還金額那但是現在依據本系統我們看到如果說違反這個勞工職災災害保險跟保護法或是勞工退休金條例也都有這個罰還的金額但是
transcript.whisperx[535].start 14468.043
transcript.whisperx[535].end 14482.353
transcript.whisperx[535].text 現在依據目前的系統如果說違反職安法或是性別工作平等法以及就業服務法中高齡者高齡就業促進法職業安全衛生法全都沒有
transcript.whisperx[536].start 14485.014
transcript.whisperx[536].end 14510.245
transcript.whisperx[536].text 這當中有什麼樣的一個落差為什麼我違反勞基法的時候你後面的法環就可以把它標上去但是違反性平法、就業服務法或者是這個高齡促進法以及職安法尤其這些重要的相關法令後面都沒有來做一個提示主要是這些相關的法令沒有法律授權所以我們沒有辦法公佈沒有辦法公佈這個就是要修法
transcript.whisperx[537].start 14511.209
transcript.whisperx[537].end 14513.112
transcript.whisperx[537].text 二、處理中華民國11年度中央政府總預算凍結案21案及
transcript.whisperx[538].start 14523.244
transcript.whisperx[538].end 14543.549
transcript.whisperx[538].text 處罰沒有問題只是說在揭示的部分揭示的部分現行的法律並沒有明定說可以揭示也沒有授權給相關的執法部長認不認為說這應該要去來做一個公開我是覺得可以啦但是我們整個來
transcript.whisperx[539].start 14545.45
transcript.whisperx[539].end 14571.117
transcript.whisperx[539].text 其實本席為什麼會提出這一點就是說這就是存在不同就是說當我們看到這一些他相關的這個違反的一個條例或是違反相關的一個這個行為的時候其實你能夠公開這相關的這個罰還的金額大小你就可以讓大家去知道是說他到底嚴重不嚴重或是說有沒有累犯的一個效果
transcript.whisperx[540].start 14571.597
transcript.whisperx[540].end 14578.767
transcript.whisperx[540].text 因為過去我們就看到很多的公司他其實怎麼樣他違法的嚴重程度其實你不一樣
transcript.whisperx[541].start 14580.08
transcript.whisperx[541].end 14607.352
transcript.whisperx[541].text 那如果說針對不管是我們的職安法或說針對我們的性別平等法其實這都是現在大家越來越重視的但是我們要公布這所謂的這個黑名單其實某種程度上它也是一種示警的效果告訴大家說壞人越壞我們要讓他公布好人越好如果說你今天可以查詢到你上面沒有的話某種程度上你也是一個業者至親也是認為說業者是一個符合規範符合標準的部長你同意嗎
transcript.whisperx[542].start 14607.952
transcript.whisperx[542].end 14623.592
transcript.whisperx[542].text 同意部長所以我們現在就在講過去一直有承諾說應該要改善或說應該有一些這種職安法一直有這些慣犯來去做履罰不怕甚至把罰款當然是經營成本
transcript.whisperx[543].start 14624.721
transcript.whisperx[543].end 14648.46
transcript.whisperx[543].text 那這些要怎麼樣補強我們有沒有建立譬如說持續犯這個不管是違反這個職安法或是違反這相關法令的這業者有所謂的這黑名單或是有所謂的這個比較市井的項目像那個職安法也就是那個重大職災地圖就會把它做一些標示然後那個如果是
transcript.whisperx[544].start 14648.916
transcript.whisperx[544].end 14653.958
transcript.whisperx[544].text 那你列為主要對象是指地方政府他的自行列管還是勞動部這邊有做一個總和管理
transcript.whisperx[545].start 14678.029
transcript.whisperx[545].end 14678.069
transcript.whisperx[545].text 應不應公佈?
transcript.whisperx[546].start 14694.82
transcript.whisperx[546].end 14715.386
transcript.whisperx[546].text 高風險高值責因為本席現在講是說你既然已經有列這樣子一個重大訊息我也看到你今天的報告第5頁特別講說提升安全衛生以及公安的文化紮根第一點就是督促雇主落實必要的教育訓練那本席也認為啊如果說你要督促雇主落實必要的教育訓練其實要從誰下手
transcript.whisperx[547].start 14717.347
transcript.whisperx[547].end 14722.089
transcript.whisperx[547].text 二、處理中華民國11年度中央政府總預算有關勞動部主管預算凍結案21案及二、處理中華民國11年度中央政府總預算凍結案21案及
transcript.whisperx[548].start 14738.652
transcript.whisperx[548].end 14764.666
transcript.whisperx[548].text 或說要示警或說讓大家知道是說在這一些可以民眾可以查詢的檔因為我們每一次的檢查一定會公佈嘛那公佈的時候就是這裡面就看得到他是雷範嘛部長您之前所說每一次檢查有公佈但是本席有特別去查囉其實很多時候你都是只有透過機關去發布新聞稿而且通常都是重大的新聞事件
transcript.whisperx[549].start 14765.746
transcript.whisperx[549].end 14779.78
transcript.whisperx[549].text 你沒有針對每一個你去做一個檢視的時候的那很有可能會發生什麼情況就是大家只知道說你的新聞稿或說大家有看到的時候才會注意但是你沒有一個地方是能夠讓大家去瀏覽或是review的
transcript.whisperx[550].start 14781.423
transcript.whisperx[550].end 14805.899
transcript.whisperx[550].text 所以說這是不是應該要去來檢討或是說建議本集今天提出一個建議當然這可能會還有衍生其他的問題但我現在提出一個建議是說在針對這樣的一個系統裡面能夠更強化明確就是說如果有累犯或者是說有一些黑心的廠商黑心的企業持續違反相關的一個法令的時候應該要示警或說變成是一個黑名單
transcript.whisperx[551].start 14808.021
transcript.whisperx[551].end 14823.728
transcript.whisperx[551].text 正能不能去做一個檢討?或是說做一個討論?我們來討論看看啦委員可能是說比如說他這一次又違規公佈阿有沒有辦法有一個標示說其實他已經是他已經累犯幾次甚至說累犯幾次或是說屢勸不聽或是說違反多少
transcript.whisperx[552].start 14824.884
transcript.whisperx[552].end 14846.252
transcript.whisperx[552].text 違反次數我是覺得可以把它揭示出來違反次數可以把它揭露出來我們來討論一下看怎麼來一而再再而三針對某個地方違反次數把它給揭露出來讓國人或說讓求職者甚至說一般的民眾甚至我可能跟往來做生意的人可能也會覺得是說怎麼會有這樣子一個離譜的一個業者是不是多久能夠來做這樣的一個調整
transcript.whisperx[553].start 14850.626
transcript.whisperx[553].end 14855.689
transcript.whisperx[553].text 五二零之前行不行?我怕五二零之後我諮詢不到您了
transcript.whisperx[554].start 14878.035
transcript.whisperx[554].end 14879.196
transcript.whisperx[554].text 謝謝紅夢凱委員接下來請牛許廷委員發言
transcript.whisperx[555].start 14915.629
transcript.whisperx[555].end 14920.895
transcript.whisperx[555].text 我們等一下投影片謝謝主席這個勞動部長有請請許部長委員好部長午安今天在討論職場安全本席有三個題目跟你就教一下
transcript.whisperx[556].start 14937.973
transcript.whisperx[556].end 14954.56
transcript.whisperx[556].text 來第一個近期有蠻多重大公安事件比如說在本期的選區這個陳恩殺死場案堆置過量土方掉下來砸死計程車司機這個終結的吊壁案這個鋼樑掉落造成的捷運的車禍那最近桃園的這個下水道的案件也有很多的這個
transcript.whisperx[557].start 14955.84
transcript.whisperx[557].end 14957.101
transcript.whisperx[557].text 新規施工警示不足
transcript.whisperx[558].start 14979.832
transcript.whisperx[558].end 15007.523
transcript.whisperx[558].text 針對這個墜落職災要做加強的預防嘛對不對說叫做營造業的墜落打擊年好這當然有一個明確的方向這當然是一件好事喔但是喔我看後面的這個報告的內容喔我就有點疑慮了為什麼呢因為你寫了一大堆比如說我們有平台啦安全管理資訊啦鼓勵輔導教育訓練啦擴大安全行銷啦這些東西可是我想大家想要看到的是萬一真的發生不幸的事件的時候那個處罰的機制到底是什麼
transcript.whisperx[559].start 15008.283
transcript.whisperx[559].end 15014.373
transcript.whisperx[559].text 我覺得嚇阻恐怕比這些輔導更有效我不是講輔導不好可是嚇阻有其必要所以我就以這個
transcript.whisperx[560].start 15016.209
transcript.whisperx[560].end 15036.921
transcript.whisperx[560].text 以這個狀況來講來跟大家請問一下第一個落實公共安全我覺得至少我們可以先從政府機關開始我們有很多的公共工程公共工程的安全性要優先確保對不對你政府要帶頭做示範那我現在請問你除了提高檢查裁罰跟停工措施之外這個萬一真的有廠商發生了公安事件直接踩過你這一條紅線請問還有沒有什麼處罰
transcript.whisperx[561].start 15040.543
transcript.whisperx[561].end 15065.498
transcript.whisperx[561].text 其實委員齁我們因為這個處罰一直都是有的啦齁啊法規都是對嘛你就是罰款嘛跟停工嘛對不對其實委員停工對他們其實是最他們最在意的他們最在意那個沒錯嘛那個是當下的第一時間的處分嘛當下的第一時間停工然後他一定要改善完善限改之後處理完才能允許復工那處罰其實處罰齁當然我們依照規定來處罰
transcript.whisperx[562].start 15066.719
transcript.whisperx[562].end 15088.52
transcript.whisperx[562].text 我現在要問的是嚇阻啦就是你要有強而有力的措施去嚇阻嘛比如說公共工程我就問了嘛因為時間有限啦不好意思喔比如說發生公安事件這個廠商會不會被列入公共工程委員會被列入黑名單有沒有揭露的機制剛剛洪本凱文我覺得他問得非常好都沒有我覺得揭露的東西說得不夠清楚的啊有沒有限制投標的規模在評選時候會不會扣分你們就簡單回答一下
transcript.whisperx[563].start 15090.962
transcript.whisperx[563].end 15115.473
transcript.whisperx[563].text 具體的做法是什麼有沒有你會有提供一份資料好不好我是覺得這個你都要寫進報告裡啊大家才會清楚嘛對不對你除了有輔導之外你有嚇阻嘛對不對你不要覺得大家好像覺得好像只有一半這是不對的那第二個我要針對民間工程公共工程如果有做那民間工程你有什麼手段可以嚇阻這樣子的廠商這種每次都這五大山出喔都忽略這種職場安全的你有什麼嚇阻的手段除了你既有的罰款跟停工之外
transcript.whisperx[564].start 15117.509
transcript.whisperx[564].end 15137.901
transcript.whisperx[564].text 其實我們民間工程我們主要是跟那個地方的政府管單位跟營建署這邊對於它相關的可能營建的一些申請或什麼都會在日後都會被列為本人建議如果你公共工程有相關的一些手段的話你民間工程也要有相對的手段吧比如本期建議嘛比如說你就
transcript.whisperx[565].start 15138.641
transcript.whisperx[565].end 15138.981
transcript.whisperx[565].text 第二個我問一下最近
transcript.whisperx[566].start 15166.235
transcript.whisperx[566].end 15188.994
transcript.whisperx[566].text 大家有討論這個馬上我們天氣越變越熱了昨天就已經突破30度了這之前勞動部曾經有研議過我們要有高溫架的這個配套措施請問有沒有下文我們沒有報告人那個高溫那不是架我們是個措施就是如何去在避免在高溫的這個環境下去工作那會採取一些防避的措施
transcript.whisperx[567].start 15190.315
transcript.whisperx[567].end 15191.456
transcript.whisperx[567].text 我們就有相關的規範就是可以處罰他哪一些相關規範
transcript.whisperx[568].start 15220.253
transcript.whisperx[568].end 15233.312
transcript.whisperx[568].text 在我們各位報告我們設置規則針對在一定溫度以上的那個狀況下來從事工作他如果沒有做預防措施我們治安法規跟法規是可以做處置的但是剛才委員講到一個重點是在
transcript.whisperx[569].start 15234.011
transcript.whisperx[569].end 15258.917
transcript.whisperx[569].text 在氣候變遷狀況下面夏日的溫度飄高我們現在社會說那段時間要暫時停止工作要做工作時間的一些管理不要讓勞工暴露在這樣子的風險下面所以應該是從管理上面來做著手好因為時間有限一樣你會有提供資料最後一個這個30秒之內我把這題目收完你剛剛講說營造業防墜落很重要我告訴你這不只人墜落很重要東西墜落也很重要
transcript.whisperx[570].start 15259.737
transcript.whisperx[570].end 15274.27
transcript.whisperx[570].text 這個前一陣子發生的那個冷氣掉下來砸死人的事件這件事情我認為也是廣義的職場安全維護很重要的一個題目那過去的時候因為這很複雜你的大樓裝冷氣公寓大廈主管機關國土署對不對但是這個安全又是你負責
transcript.whisperx[571].start 15274.71
transcript.whisperx[571].end 15297.632
transcript.whisperx[571].text 你這跨部溝通的協調有沒有一個具體的進度因為現在的狀況新北跟桃園因為出過事所以大家就有一些更好、細緻的SOP可是你這細緻的SOP缺乏中央的法源依據以至於你沒有辦法你沒有法則沒有執行力啊最後就淪於空談沒有強制力請問勞動部現在如果你講說這個是內政部要修法你有沒有具體的修法建議去避免這樣的東西去完善這部分的職場安全
transcript.whisperx[572].start 15298.112
transcript.whisperx[572].end 15321.335
transcript.whisperx[572].text 各位報告冷氣應該先說那個結構結構體的一個附加裝置所以這個部分確實營建署跟我們有一些合作的對啊這跨部會的修法嘛那我們的部分是工作者在工作的時候他如果確保他安全防護能夠達到讓勞工不會因為這樣在在裝冷的時候退租下來或是東西掉下來這部分我們也會把我們的SOP跟那個國土署做進一步的合作那國會署已經有一個基本規範出來了
transcript.whisperx[573].start 15322.236
transcript.whisperx[573].end 15345.119
transcript.whisperx[573].text 因為去年7月發生這件事後面好像就沒有然後了好不好所以我們希望重新這個事情要有個具體的期程表可以嗎好不好這一樣會後可以給大家做參考可以嗎好不好意思主席謝謝好謝謝牛許廷委員接下來請顏寬恆委員顏寬恆委員顏寬恆委員不在接下來請鄭天才委員鄭天才委員鄭天才委員不在
transcript.whisperx[574].start 15345.714
transcript.whisperx[574].end 15362.408
transcript.whisperx[574].text 接下請張家俊委員、張家俊委員、張家俊委員不在。接下來請謝依鳳委員、謝依鳳委員、謝依鳳委員不在。接下來請游浩委員、游浩委員、游浩委員不在。接下來請鄭振淺委員、鄭振淺委員、鄭振淺委員不在。接下來請陳穎委員發言。
transcript.whisperx[575].start 15382.093
transcript.whisperx[575].end 15406.89
transcript.whisperx[575].text 現在主席麻煩請周署長請周署長我們今天專報的題目有講到這個職業安全衛生管理跟公安文化所以我想就這兩個主題來跟您請教一下首先我們就這個管理的部分
transcript.whisperx[576].start 15411.934
transcript.whisperx[576].end 15437.431
transcript.whisperx[576].text 事業單位應依其事業之規模性質設置安全衛生組織及人員建立職業安全衛生管理系統並且第二條規定一危害風險之不同區分分為三個等級有這個顯著中度及低度風險的事業我想請教一下就是你們如何去認定這個風險的等級然後這個依據是什麼
transcript.whisperx[577].start 15438.452
transcript.whisperx[577].end 15441.616
transcript.whisperx[577].text 綜合分類等級。該數應該是根據我們過去他千人率的狀況下來做一些判斷來做6分6月風險的這個的區分
transcript.whisperx[578].start 15450.891
transcript.whisperx[578].end 15468.381
transcript.whisperx[578].text 所以就是早期就是以這個千人率來作為依據那舉例來說那因為這個漁業的這個職債死亡率非常高啦是我們全產業的這個前三名但是呢我們對照這個表他竟然是列為第二類的中度風險
transcript.whisperx[579].start 15469.621
transcript.whisperx[579].end 15470.502
transcript.whisperx[579].text 事實不符嗎?
transcript.whisperx[580].start 15490.755
transcript.whisperx[580].end 15506.078
transcript.whisperx[580].text 三、四、五、六、七、八、八、七、八、八、七、八、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、八、七、
transcript.whisperx[581].start 15514.38
transcript.whisperx[581].end 15537.009
transcript.whisperx[581].text 從剛剛那個署長講的都是以前依據千人綠然後再來就是說以前早期那個這個在這個洗染液染的部分是怎麼樣怎麼樣比較堵我們一直聽到這個以前好那這個所以我接下來就要問你這個風險等級幾年沒有修訂了
transcript.whisperx[582].start 15538.611
transcript.whisperx[582].end 15556.958
transcript.whisperx[582].text 應該是103年之後就沒有再修了我是懷疑說是不是從民國64年到現在可能這張副表1都沒有修正過你可不可以說明一下你說一百多年報告委員統一國會是因為是都有解答但是確實現在的版本是104年這個沒有錯但是104年還是105
transcript.whisperx[583].start 15564.702
transcript.whisperx[583].end 15568.923
transcript.whisperx[583].text 103年6月26日公布的版本這個副表什麼時候有修正過沒有應該是這個訂之後沒有再修過最多了不起給你增加一個第三類的部分而已再來就是說
transcript.whisperx[584].start 15594.572
transcript.whisperx[584].end 15617.042
transcript.whisperx[584].text 第1類的事業單位的勞工人數100人以上就要設置直屬僱主的一級管理單位管理人員也要專職第二類的事業單位的勞工人數就300人以上才要比照辦理所以我要請教這個100人跟300人的區分是有什麼樣的依據
transcript.whisperx[585].start 15619.938
transcript.whisperx[585].end 15635.305
transcript.whisperx[585].text 原因就是我們在訂這個法規的時候因為不同的公司那個事業規模等級來做那個做區隔啦所以我想應該是當作立法的目的在這邊比較風險比較高的他人數比較到達一定程度就要專責人員來做安全衛生防護
transcript.whisperx[586].start 15636.192
transcript.whisperx[586].end 15657.618
transcript.whisperx[586].text 因為我剛剛問完這個問題你的反應還你的表情還蠻特別的你等一下回去自己倒帶看一下因為我很想解讀你那個表情的反應是什麼然後除了就是從這個勞工人數反映的這個事業單位規模那直接跟設置的這個財務能力有關以外呢
transcript.whisperx[587].start 15658.899
transcript.whisperx[587].end 15683.176
transcript.whisperx[587].text 其實我現在看不出來就是說這樣的一刀切到底是有什麼跟職業安全衛生是有關聯性的那我也不曉得說書長你看法是怎麼樣我們現在這樣講是我們第一類是高風險的他人數100人我們就要教授他有比較適度的人力做安全的管理展開那第二類當然是300人是用這個風險跟切歸母來做分
transcript.whisperx[588].start 15684.717
transcript.whisperx[588].end 15699.632
transcript.whisperx[588].text 對對這個這個我理解就是風險這個有寫得很清楚啦但是我就我就我就看不出來說這個關聯性齁啊你不覺得這個第一類危險人就是危險啊你跟幾百人
transcript.whisperx[589].start 15700.831
transcript.whisperx[589].end 15727.149
transcript.whisperx[589].text 一百人兩百人他還是危險啊那我想接下來沒關係我們接下來繼續講就是說最令本席不解的就是說這個辦法的第三至二條的規定事業單位勞工人數的計算他包含了原事業單位及其這個承攬人還有在承攬人之勞工及其他受工作場所負責人指
transcript.whisperx[590].start 15727.469
transcript.whisperx[590].end 15729.592
transcript.whisperx[590].text 全體委員會或監督從事勞動之人員
transcript.whisperx[591].start 15735.952
transcript.whisperx[591].end 15758.69
transcript.whisperx[591].text 這個我就很有感比如說我們一大堆我們很多的原住民我們以就是說大部分營造業為主那以營造業這個進場的工班嘛每個進場的這個時段不一樣不同的時段有不同的工班那這樣子到底實務上可不可行會不會說這個禮拜人數不足但下個禮拜承攬的人數
transcript.whisperx[592].start 15759.931
transcript.whisperx[592].end 15775.906
transcript.whisperx[592].text 加總之後又超標了那到底說這整個管理組織跟這個專職人員你要怎麼設置然後還有他們的做的這個管理業務執行要怎麼樣做成記錄被查因為這個人數看起來是個浮動的
transcript.whisperx[593].start 15776.627
transcript.whisperx[593].end 15800.568
transcript.whisperx[593].text 報告委員您點出重點就是企業的經營它要承攬再承攬它真的是浮動的所以我目前起來就是採取平均的方式來去評估它的勞工人數是不是得當然後這個勞工人數超過一定的水限當然設置管理人員的資格跟要條件就會有點不同那我們就是因為我們這樣判決結果來看它回去它的執行紀錄就會比較清楚了
transcript.whisperx[594].start 15801.471
transcript.whisperx[594].end 15817.716
transcript.whisperx[594].text 所以你要去抓那個平均值這樣子我覺得應該可能還有更好的方法你要不要再好好想一想不是我要指教這是你們要想的不是我替你想但我就覺得這個有點不太合理啊
transcript.whisperx[595].start 15819.852
transcript.whisperx[595].end 15842.201
transcript.whisperx[595].text 因為我也不是署長而且你比較厲害這個你專業好不好那這個小傑我們看一下就是說從這些規定來看似乎說這個事業單位的這個職業安全衛生管理組織跟人員好的僵固那管理執行流於書面形式那相同規模的事業單位呢不管他的這個實際成效是怎麼樣
transcript.whisperx[596].start 15843.922
transcript.whisperx[596].end 15864.493
transcript.whisperx[596].text 新規法規的規定,否則它就是違法。可是呢,符合規定卻不見得可以確保不發生職災。我舉例,就像這個民營公司,那它的風險可能是隨著它的訂單增加而上升。那我們的這些管理規定卻沒有考慮到這一點。
transcript.whisperx[597].start 15865.894
transcript.whisperx[597].end 15894.549
transcript.whisperx[597].text 所以即使你們發動專案檢查那恐怕將來其他的事業單位還是會發生職災意外我們想看一下署長不知道針對這個有什麼想法有組織有人員還是執行最重要所以說委員提醒就是這個人員在我們法系裡面他們善盡他的責任那民洋這個案子他有安全的管理員有跟公安課長做回報但是公安課長沒有做立即處置那產生這樣子一個重大事故所以民洋這個案子其實我們
transcript.whisperx[598].start 15895.149
transcript.whisperx[598].end 15895.611
transcript.whisperx[598].text 責任責任責任責任責任責任
transcript.whisperx[599].start 15902.348
transcript.whisperx[599].end 15924.494
transcript.whisperx[599].text 所以那個因為他把其他如果說因為這個我覺得訂單的部分吼有時候業務量突然增加很多他風險也會相對提高嘛阿結果我們專案一檢查就那個同一類型的我們就一直檢查其他的場阿可能別人的訂單都被他拿走了別家可能就降低了這個訂單過多的風險了嘛我想要提的是這個啦
transcript.whisperx[600].start 15925.954
transcript.whisperx[600].end 15951.531
transcript.whisperx[600].text 還有這個辦法的第12條之二第一類勞工人數200人以上跟第二類勞工人數500人以上的僱主應依國家標準CNS45001等以上規定建置適合該事業單位的這個職業安全衛生管理系統並具以執行那為什麼到管理系統的部分
transcript.whisperx[601].start 15952.271
transcript.whisperx[601].end 15966.009
transcript.whisperx[601].text 就又是一刀切的切法跟剛剛前面的100人跟300人然後又變成200人跟500人這樣子的依據又到底又是什麼?也是跟署長剛剛講的一樣嗎?
transcript.whisperx[602].start 15968.371
transcript.whisperx[602].end 15993.607
transcript.whisperx[602].text 包委這CS4501是新的在108年開始從ISO4501變成我們的CS4501那我們希望國家的比較一定規模上的企業要把這個管理系統內化所以我們先訂這樣法規的要求那至於這個人數跟這個基準可不可以做檢討我相信我們會再做進步的因為本期認為第一類它就是有顯著的風險不管它是100人
transcript.whisperx[603].start 15994.648
transcript.whisperx[603].end 16000.812
transcript.whisperx[603].text 199案及90案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199案及199
transcript.whisperx[604].start 16022.745
transcript.whisperx[604].end 16027.178
transcript.whisperx[604].text 安全文化請問安全文化的定義跟實質內容到底是什麼?
transcript.whisperx[605].start 16029.342
transcript.whisperx[605].end 16054.703
transcript.whisperx[605].text 全世界各國都在追求安全化提升過去英國、美國都有一個安全氣候的評量叫做checklist或是問卷但是我們認為這個問卷跟不同行業別來做同樣問卷是不對的所以這個確實是比較浮的、比較虛空的一個看科學的想法但是我們會從被動指標跟正面指標比如教育訓練好不好、他辦的環境夠不夠我們來做一些
transcript.whisperx[606].start 16055.604
transcript.whisperx[606].end 16072.35
transcript.whisperx[606].text 對他就是一個很很虛你講很虛所以我很難想的很具體哦所以什麼樣的事業單位符合你們的優質安全文化可不可以舉一些例子到底就是好的這個安全文化需要多久的時間好才可以累積
transcript.whisperx[607].start 16074.144
transcript.whisperx[607].end 16103.564
transcript.whisperx[607].text 委員的公式安全化應該是不是就短期一半年一年就達成好就需要三五年以上才會一定upgrade那指標朋友正面指標跟被動指標比如他的教育訓練安全管理集合查核OK那被動指標就是他發生的事故數事故量有沒有做進一步的檢討那在整個整個這個體系裡面就是我們講的跟委員提醒就是我們管理系統特別要特別強大這塊PDCA的整個正面循環那如果正面循環做得好他就有證據資料document可以做佐證
transcript.whisperx[608].start 16104.384
transcript.whisperx[608].end 16116.165
transcript.whisperx[608].text 我們都希望他們是主動的安全而不是被動的安全那安全文化做得好或者是說有進步的事業單位是有什麼獎勵那沒有安全文化的事業單位又有什麼處罰
transcript.whisperx[609].start 16118.018
transcript.whisperx[609].end 16136.152
transcript.whisperx[609].text 報告委員,我們其實公安獎那個獎項就是會看整體的表現,如果好的話當然是比較好的激勵,我們現在國家最好的是國家慈安獎,國家慈安獎得到的話,它其實職災保險費率是可以折減的,所以這個是正面的鼓勵性質,應該是有一些可以做一些專兵force來讓企業能夠追尋。
transcript.whisperx[610].start 16136.991
transcript.whisperx[610].end 16148.912
transcript.whisperx[610].text 所以他們是可以折抵一些那講好那處罰的部分是一樣如果重大職災的話我們災防法現在規定是保險費率是發生重大職災死亡是要增增略20%
transcript.whisperx[611].start 16151.684
transcript.whisperx[611].end 16173.089
transcript.whisperx[611].text 我想這個職安署你們責任是非常重大的那職權很重要所以你們的這個預算可以說是有增無減那這個你們的單位其實真的是要人有人要錢有錢權力也不小其實跟其他單位比起來是算是比較這樣子的
transcript.whisperx[612].start 16174.749
transcript.whisperx[612].end 16176.75
transcript.whisperx[612].text 緩衝中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度中華民國11年度
transcript.whisperx[613].start 16202.536
transcript.whisperx[613].end 16225.217
transcript.whisperx[613].text 下降,因為我有知道你2030年有定了目標。但是...謝謝委員的提醒,其實我們都把委員的一些建議,所有委員會的建議,我們當作我們未來能夠進步的一個推力,其實整個地牢進步確實有一些困難,會有一些挑戰,但是我也跟我們同仁一起面對這個現況,做一些更好的一些追求。
transcript.whisperx[614].start 16226.071
transcript.whisperx[614].end 16250.29
transcript.whisperx[614].text 那我也希望說2030年如果你有繼續在這個位置上你才可以看到這個成果才可以負責這個成果所以你如果要定要不要每一年定不要定2030年各位媒體報告其實是2030是國家2030的階段性的進行的這個目標但是我們每兩年每一年有做每年那個希望達成那個小目標或短期目標
transcript.whisperx[615].start 16251.21
transcript.whisperx[615].end 16273.365
transcript.whisperx[615].text 因為沒有看到你再跟我講好謝謝好請署長會後再跟委員做個說明接下來請蔡易瑜委員蔡易瑜委員蔡易瑜委員不在接下來請吳秉瑞委員吳秉瑞委員吳秉瑞委員不在接下來請葉元之委員葉元之委員葉元之委員不在接下來請劉建國委員發言
transcript.whisperx[616].start 16282.179
transcript.whisperx[616].end 16284.68
transcript.whisperx[616].text 事業單位應加強安全衛生管理制度、作業流程及必要教育 訓練:一、邀請勞動部部長就:「事業單位應加強安全衛生管理制度、作業流程及必要教育 訓練:一、處理中華民國11案及
transcript.whisperx[617].start 16308.045
transcript.whisperx[617].end 16322.937
transcript.whisperx[617].text 據報載說好像有超時工作的問題。據報載說?對,那...署長還沒有去到達?我們現在因為吼因為那個高雄市政府有兩次要去勞檢可是因為那時候負責人因為在配合
transcript.whisperx[618].start 16323.662
transcript.whisperx[618].end 16338.979
transcript.whisperx[618].text 檢查檢檢的正辦中所以沒有沒有還沒有離清楚但是我們也掉那個GPS那個根據他交通部公務局的GPS他那天當日的行車時間真正的行車時間是沒有超過10小時
transcript.whisperx[619].start 16340.04
transcript.whisperx[619].end 16355.599
transcript.whisperx[619].text 但是因為具體的工作不是看那個行車記錄器還要看看他這個有時候他待命時間也算工作時間準備事後加油這些都要算所以我們這個部分還要需要進一步釐清好
transcript.whisperx[620].start 16358.082
transcript.whisperx[620].end 16370.852
transcript.whisperx[620].text 那你掌握到這個報宅嘛還有署這邊去調那個行車紀錄器嘛對不對那我這邊你也掌握一下好不好我這邊的訊息是這樣一輛車是3月20號的早上5點出啊然後
transcript.whisperx[621].start 16372.296
transcript.whisperx[621].end 16388.781
transcript.whisperx[621].text 事故發生在3月20號的晚上8點阿里山一日遊所以這樣就幾個鐘頭了那當然陳努力所講的嘛到底他具體的實際開車時間多久這你再double check啦好不好但是你看喔如果依照這樣的算法已經已經執勤的時間達15個小時了嘛對不對好
transcript.whisperx[622].start 16392.722
transcript.whisperx[622].end 16404.692
transcript.whisperx[622].text 我們勞進法30條規定這整天工時8小時加班不得超過4小時等同這整天的工作工時不能超過12小時交通部在2022年也修正《汽車運輸業管理規則》不用的條文明定遊覽車駕駛從報到遞員到行程結束工時不能逾11小時那違規就是最高罰9萬對不對
transcript.whisperx[623].start 16419.426
transcript.whisperx[623].end 16427.805
transcript.whisperx[623].text 這名司機出車到出事了到出事就是已經15個小時了那我們再來算嘛他到底是什麼時候到班
transcript.whisperx[624].start 16429.472
transcript.whisperx[624].end 16448.817
transcript.whisperx[624].text 他如果是五點要到班對不起他五點要出發他是不是要提早半個鐘頭或一個鐘頭要到班對不對是簡單算嘛對不對好他從他家要到到班時間要不要半個鐘頭至一個鐘頭的梳洗嗎我不曉得吶含要不要吃早餐
transcript.whisperx[625].start 16449.777
transcript.whisperx[625].end 16476.588
transcript.whisperx[625].text 所以他可能又要再多一個半個鐘頭到一個鐘頭簡單講最少五點要到班前還要多一個鐘到一個半鐘頭這才屬於合理嘛那我們再假設另外一個情境嘛20日當天遊覽車如果可以平安到家但是他確實八點還在路上我看進度要把客人整個全部都送完也應該要到九點了啦應該是這樣嘛然後
transcript.whisperx[626].start 16477.833
transcript.whisperx[626].end 16495.984
transcript.whisperx[626].text 最理想就是要9點、9點半回到他到班的公司那10點前離開嘛11點可能回到家裡嘛洗澡上枕睡覺嘛署這邊有沒有去調查他隔天的預定他的班別是幾點要再開始執勤有去調查嗎
transcript.whisperx[627].start 16497.029
transcript.whisperx[627].end 16526.09
transcript.whisperx[627].text 報告委員因為這部分的全縣在高雄市勞檢處他們現在現在就是在做一些調查、釐清我知道發生這麼大的事情這個當然要釐清嘛對不對但是調查隔天的班表應該也不是什麼困難的事情嘛高雄市勞檢處主要是他們調查那我們南區職安中心也有在協助所以我們把這個事情做一個整個釐清當然剛就委員這樣的說明這是很有可能就是
transcript.whisperx[628].start 16526.89
transcript.whisperx[628].end 16529.012
transcript.whisperx[628].text 三次違規事件,其中分別是
transcript.whisperx[629].start 16555.49
transcript.whisperx[629].end 16583.051
transcript.whisperx[629].text 倒車、未注意人車、未依交通標誌指示行駛違規、臨時停車這三件違規裡面沒有半件發現他超時工作的狀況就很奇怪了再來我就覺得怎麼會這麼巧這樣就一出犯就出事我想這個疲勞的累積一定會讓事故發生的機率大大提高部長你看這個路你知道司機是開快車道還是開慢車道嗎
transcript.whisperx[630].start 16586.246
transcript.whisperx[630].end 16596.557
transcript.whisperx[630].text 你說那一天嗎?對啊他應該是慢車道啊對啊他開慢車道嘛是不是?這條叫水管路嘛對一輛車怎麼會開慢車道是啊慢車道還有汽車
transcript.whisperx[631].start 16599.98
transcript.whisperx[631].end 16615.373
transcript.whisperx[631].text 所以那個人是不是出問題了嗎?他要去快車道他怎麼會找到慢車道慢車道他還要跟機車在那裡站這就有問題嘛所以你知道嗎這根據家屬表示嘛就連罹患者的時候在生前都要打電話
transcript.whisperx[632].start 16616.374
transcript.whisperx[632].end 16624.116
transcript.whisperx[632].text 跟他們的家屬抱怨司機亂繞路所以我真的是覺得這個司機當時應該精神狀況是非常的不佳啦是不是太累嘛或是安坐嘛我們這邊齁我這邊也幫你調出一個資料就是勞動部在114年到112年對全國有1萬車業總計實施勞動條件檢查
transcript.whisperx[633].start 16645.003
transcript.whisperx[633].end 16650.067
transcript.whisperx[633].text 1626家次微環190件次累計罰款將近1000出萬這次出事的旅行社據瞭解只有110年檢查兩次罰款2萬這應該沒有錯誤嗎?沒有錯誤OK好
transcript.whisperx[634].start 16662.918
transcript.whisperx[634].end 16674.521
transcript.whisperx[634].text 那你看在去年3月3日的時候我們的新聞稿有特別提到說加東運輸業違反勞基華比例偏高勞動部將聯合加東部去加強督導業者改善一年以後怎麼還會發生這樣的狀況因為勞動部已經聯合加東部來做加強監督的作為了但是這一家為什麼只有在110年檢查兩次而已
transcript.whisperx[635].start 16692.768
transcript.whisperx[635].end 16709.38
transcript.whisperx[635].text 那難道部長要跟全國講說就20日發生這個事情叫做個案因為吼報告委我們那個要專案勞檢的名單吼就是由那個交通部吼他去整個
transcript.whisperx[636].start 16710.461
transcript.whisperx[636].end 16712.203
transcript.whisperx[636].text 負責任何事項的負責任何事項的負責任何事項
transcript.whisperx[637].start 16738.646
transcript.whisperx[637].end 16742.649
transcript.whisperx[637].text 為了持續減少職業災害發生保障作業者之安全與健康本部將持續運用有限能力以分選分級方式鎖定目標實施檢查研法必有效
transcript.whisperx[638].start 16767.408
transcript.whisperx[638].end 16792.341
transcript.whisperx[638].text 多數事業單位落實職場防災管理因為你們沒辦法掌握到現在沒辦法掌握委員會對我來做一個陳述到底這一個時機是不是已經過勞了是不是已經超時到非常離譜了你們沒辦法掌握嘛所以我也沒辦法用這個角度去問你但是這個報告是你們寫的嘛什麼叫做運用有限的人力你講這樣吼為何委員會的委員都失責啊
transcript.whisperx[639].start 16793.582
transcript.whisperx[639].end 16796.124
transcript.whisperx[639].text 我們到底是怎樣的有限能力你也跟我說一下不然我會來支持啊
transcript.whisperx[640].start 16823.382
transcript.whisperx[640].end 16847.961
transcript.whisperx[640].text 不然我們是失職還是還是沒有跟你們支持不然你們到現在還有有限的能力是什麼意思我聽不懂啊你如果真的是有限能力能力不足你就盤點出來嘛那我們知道嘛我們來支持嘛對不對不要現在發生這個事情五天了還沒有掌握雖然是地方該去第一線該去先去了解清楚但是我覺得掌握到底有沒有超時
transcript.whisperx[641].start 16849.142
transcript.whisperx[641].end 16859.298
transcript.whisperx[641].text 到底這家遊行公司是不是經常有這種狀況發生但是如果從目前來講110年就是炒了兩次反而滿口所以是交通部的問題不是你們的問題這有點奇怪啊
transcript.whisperx[642].start 16865.88
transcript.whisperx[642].end 16879.328
transcript.whisperx[642].text 我想部長也不只遊覽車這個事情你看剛剛很多委員都有跟你垂詢市區公車也是一樣狀況這個是2022年北市公車司機休息不夠7個夜學滑了372萬2023年新聞中市的公車遭柴滑8層公死過場這台北跟台中的比較爛
transcript.whisperx[643].start 16890.74
transcript.whisperx[643].end 16901.895
transcript.whisperx[643].text 所以要簡單講說市區公車、遊覽車這個過勞好像已經也不是什麼新聞嘛也不是什麼新聞所以各縣市都在鬧這個司機方所以才有這個台灣市長說要對方開放外籍司機的說法
transcript.whisperx[644].start 16906.561
transcript.whisperx[644].end 16915.949
transcript.whisperx[644].text 我認為這尊重啦,這種想法尊重啦不過,如果像這樣經常工時過長然後休息不夠缺人導致失蹊過勞導致更缺人導致失蹊更過勞的惡狀惡性循環一直不斷
transcript.whisperx[645].start 16924.656
transcript.whisperx[645].end 16942.155
transcript.whisperx[645].text 你現在開放外企的司機是叫外企的司機進來一樣跟你一樣就是要過勞然後要這樣的惡性循環然後讓外企司機也也也也負擔起這樣的一個在整個駕駛過程裡面提高他的這個危險的機率
transcript.whisperx[646].start 16944.621
transcript.whisperx[646].end 16948.523
transcript.whisperx[646].text 這要鬧成國際笑話還是讓國際專注說我們的時機就是這麼樣的過勞然後這麼樣的超時這麼樣的一直沒辦法去改善這樣的一個環境
transcript.whisperx[647].start 16960.709
transcript.whisperx[647].end 16960.889
transcript.whisperx[647].text 好,謝謝劉建國委員
transcript.whisperx[648].start 16988.2
transcript.whisperx[648].end 17011.615
transcript.whisperx[648].text 接下來請何欣淳委員 何欣淳委員 何欣淳委員不在接下來請楊耀委員發言謝謝主席 主席請一下許部長請許部長時間到了
transcript.whisperx[649].start 17023.415
transcript.whisperx[649].end 17040.484
transcript.whisperx[649].text 勞動部長我們對於職債的勞工來講最重要的其實還是怎麼輔助他能夠重新重返職場那這樣子的話他才能夠有穩定的經濟收入根據我們
transcript.whisperx[650].start 17042.571
transcript.whisperx[650].end 17062.201
transcript.whisperx[650].text 我們職災保險跟保護法的規定事業單位僥僱用職災勞工可以申請補助的可是職安署提供的2023的資料呢就去年的資料我們補助的件數只有16件
transcript.whisperx[651].start 17064.096
transcript.whisperx[651].end 17083.383
transcript.whisperx[651].text 那勞保局這邊的資料是這樣子申請職災給付的有大概9萬件那其實兩個的落差還蠻大的是因為補助的門檻過高還是誘因太低
transcript.whisperx[652].start 17084.803
transcript.whisperx[652].end 17110.903
transcript.whisperx[652].text 因為發生職災的勞工除非有法定室友否則僱主是不能因為他發生職災就把他解僱所以很多職災的勞工他是在身體恢復到他沒有重返職場的問題他再回到原來工作崗位那有一種是可能因為他失能可能他沒有辦法短時間或一段時間沒辦法繼續工作他可能就離開那離開這個部分當然如果他日後
transcript.whisperx[653].start 17111.463
transcript.whisperx[653].end 17117.727
transcript.whisperx[653].text 新的僱主我們會對這個僱主有獎勵所以這兩個數據可能就是會有不一樣對我知道我知道我說我說落差還蠻大的就是9萬跟16件那我這邊因為沒有沒有職安署的相關的的
transcript.whisperx[654].start 17137.339
transcript.whisperx[654].end 17147.623
transcript.whisperx[654].text 資料所以說到底有哪一些部長剛剛講的沒有錯就是有職災不見得就是會馬上離開職場也就沒有重返的問題這個我是認同的只是說
transcript.whisperx[655].start 17151.963
transcript.whisperx[655].end 17165.854
transcript.whisperx[655].text 我們到底有多少是有多少是申請可是沒有沒有沒有過的或者是或者是因為我覺得16件欸就是說植栽的的總總案件數是9萬
transcript.whisperx[656].start 17168.215
transcript.whisperx[656].end 17174.859
transcript.whisperx[656].text 申請補助的只有16件這個落差已經滿大有多少是離開職場有事業單位願意來申請沒有過的這個我們再整理這個再把資料整理給我一下一樣是我們從監察院的調查報告
transcript.whisperx[657].start 17198.448
transcript.whisperx[657].end 17215.218
transcript.whisperx[657].text 來看就是勞動部提供職災勞工的職務再設計服務的量偏低那這個我這邊有的數據是這樣子齁就是這個是職安署給的數據是2023年呢補助僱主申請職災勞工職務再設計的是13人
transcript.whisperx[658].start 17228.41
transcript.whisperx[658].end 17253.067
transcript.whisperx[658].text 那勞發署勞發署的的就是勞發署也是13人就是具有勞工身份的齁這個這個監察院給你們的的植物塞車機的服務量很偏低原因是什麼
transcript.whisperx[659].start 17255.1
transcript.whisperx[659].end 17277.31
transcript.whisperx[659].text 那個報告委員其實我們對職災勞工有兩個補助一個是器具的補助對我知道器具補助那個很多他大概就是就是然後現在就是那個從從這個我現在問的是植物再設計植物再設計的這個部分的確是件數很少這個部分
transcript.whisperx[660].start 17279.145
transcript.whisperx[660].end 17302.936
transcript.whisperx[660].text 這個可能也牽涉到事業單位的主管議員他有一些比如說事業單位他也未必申請補助啊他有時候就是說他職務調整比如說像我上一次去訪視一個公司那他有一位職在勞工他本來是可能是線上的作業員可是他發生職在以後他也沒給他資錢也沒有給他那個中職顧問他就請他去做原意
transcript.whisperx[661].start 17303.756
transcript.whisperx[661].end 17327.177
transcript.whisperx[661].text 負責其他的工作所以他這種職務調整其實也是對職災或者這些私人勞工他重返職場以後透過職務調整讓他能夠繼續工作我知道我的意思是說職務調整這個我知道我現在是針對說職務的再設計服務量能偏低的部分
transcript.whisperx[662].start 17333.703
transcript.whisperx[662].end 17352.8
transcript.whisperx[662].text 新的災保法新的措施是不是很多人不曉得啊不知道來申請所以我想第一個我們檢討原因那第二個就是也加強宣傳就是說讓有需要的人那不管他是像透過自然署這邊或者是從我們發展署這邊的私人的那個輔具的
transcript.whisperx[663].start 17353.861
transcript.whisperx[663].end 17370.153
transcript.whisperx[663].text 二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理中華民國11案及二、處理
transcript.whisperx[664].start 17382.361
transcript.whisperx[664].end 17408.223
transcript.whisperx[664].text 所以這個申請的服務量能確實光看數據就13個確實是有一點低那至於原因到底在哪裡跟怎麼改進怎麼研議改善這個請部裡面跟署裡面這邊再做一下研究好不好
transcript.whisperx[665].start 17412.427
transcript.whisperx[665].end 17431.919
transcript.whisperx[665].text 還有就是勞動部要怎麼提升事業單位來聘僱職災勞工的意願因為我們在職災保險跟保護法裡面67到69條大概有就是勞動部有關職災勞工重返職場的補貼大概就包含剛剛部長講過的
transcript.whisperx[666].start 17441.878
transcript.whisperx[666].end 17453.269
transcript.whisperx[666].text 補助設施的補助、職能復健的津貼、事業單位的雇用補助等等。而就申請的狀況來看,其實聘僱單位
transcript.whisperx[667].start 17455.663
transcript.whisperx[667].end 17482.875
transcript.whisperx[667].text 就是聘僱職災勞工的意願還是不高那這個那假如說聘僱的意願不高呢災後復建完的勞工要再投入職場就會有困難那這個是不是也可以請部長在這邊發表一下你覺得怎麼如何提升
transcript.whisperx[668].start 17485.216
transcript.whisperx[668].end 17486.397
transcript.whisperx[668].text 職災勞工職災勞工職災勞工職災勞工
transcript.whisperx[669].start 17503.123
transcript.whisperx[669].end 17503.783
transcript.whisperx[669].text 包括包括跨部會的的的
transcript.whisperx[670].start 17532.063
transcript.whisperx[670].end 17535.984
transcript.whisperx[670].text 有關勞動部主管預算凍結案21案及有關勞動部主管預算凍結案21案及有關勞動部主管預算凍結案21案及
transcript.whisperx[671].start 17561.225
transcript.whisperx[671].end 17588.607
transcript.whisperx[671].text 好,謝謝楊耀委員本次會議詢答全部結束委員徐巧心、葉元之所提書面質詢列入記錄刊登公報現在做以下決定跟決議報告及詢答完畢委員質詢未及答覆或請補充資料者請相關機關於兩週內以書面答覆委員另要求期限者從期鎖定
transcript.whisperx[672].start 17589.568
transcript.whisperx[672].end 17597.515
transcript.whisperx[672].text 好那接下來進行討論事項請宣讀討論事項處理113年度中央政府總預算有關勞動部決議一第一幕勞動保險業務預算凍結100萬元專案報告案宣讀完畢有關討論事項這個勞動部主管預算凍結報告案一案那有無異議有吼那是不是先請勞動部說明
transcript.whisperx[673].start 17616.069
transcript.whisperx[673].end 17632.344
transcript.whisperx[673].text 好那那這樣如果呃在場的委員有異議的話那我們是不是繼續凍結好那楊耀委員謝謝主席請教部長
transcript.whisperx[674].start 17642.434
transcript.whisperx[674].end 17666.414
transcript.whisperx[674].text 部長其實是這樣子就是金額不大那我到我其實是有一些意見想要發表到沒有覺得一定不能解到而我看你們的書面報告就是等於沒有報告
transcript.whisperx[675].start 17667.936
transcript.whisperx[675].end 17693.066
transcript.whisperx[675].text 這等於沒有報告因為這幾年勞動部有關年金改革的部分大概全部都是大概就是這一份大概用了好幾年啦我也替你們講勞保本身確實是一件非常艱困的工程
transcript.whisperx[676].start 17696.01
transcript.whisperx[676].end 17715.465
transcript.whisperx[676].text 提高給付碼對年輕世代有點不公平提高保費對年輕族群不公平減少給付馬上就要落入貧窮線延後退休年齡大家可能也不同意
transcript.whisperx[677].start 17716.796
transcript.whisperx[677].end 17742.684
transcript.whisperx[677].text 這是一個很難解的問題可是問題是我看到的這幾年唯一做的就是政府撥補我為什麼對這個解凍案有意見呢就是撥補已經撥補那麼多年可是行政院院板並沒有提出來政府願意負擔最終的支付責任
transcript.whisperx[678].start 17744.342
transcript.whisperx[678].end 17770.243
transcript.whisperx[678].text 我對這一點其實是比較有意見的就是說我已經變成常態了而且事關一千多萬勞工的退休生活或者是在他職涯生活裡面的保費支出為什麼政府連提出修法版本表達
transcript.whisperx[679].start 17772.051
transcript.whisperx[679].end 17797.768
transcript.whisperx[679].text 負擔最終的支付責任都不願意我對這一點比較想不透根據委員報告其實到目前為止我們的規劃就是政府付最後的支付責任這個立場一直沒有變對 我說入法入法就是要入法對要入法的這個規劃也沒有變當然只是說委員也知道說若我單純只提這一條好像
transcript.whisperx[680].start 17799.69
transcript.whisperx[680].end 17826.688
transcript.whisperx[680].text 會可能有些委員會認為說其實你應該是要更全面性的去檢討所以就是沒有辦法目前光只有提這一條來通過修法我們是認為可能這樣還不夠周延部長我為什麼覺得先入法呢因為撥補已經撥補好幾年了幾千億撥補進去了就表示政府一定政府是不可能放任
transcript.whisperx[681].start 17827.448
transcript.whisperx[681].end 17851.122
transcript.whisperx[681].text 勞保倒掉的啦當然那你先宣示的好處是什麼呢?就是對於廣大的勞工的心情安定有一定的作用啦我們每天都只要私底下聊天就有勞工提到勞保、勞幣的問題那假如說政府願意先出來承擔
transcript.whisperx[682].start 17852.723
transcript.whisperx[682].end 17879.029
transcript.whisperx[682].text 做宣示就是我政府負擔最終的支付責任我覺得這個對於勞工的退休勞工的生活比較放心那年輕的勞工交保費也比較安心我覺得是這樣子啦要不然就是這一份報告我其實是覺得就是
transcript.whisperx[683].start 17881.311
transcript.whisperx[683].end 17905.302
transcript.whisperx[683].text 也不能說有就跟沒有就是等於這幾年就是千篇一律啦我剛才也把困難困難先講出來因為大家都很清楚啦這是一個非常困難的事情可是我還是要求行政機關必須要提出提出擔保啦好不好好謝謝好謝謝在場那王玉明委員
transcript.whisperx[684].start 17914.645
transcript.whisperx[684].end 17932.552
transcript.whisperx[684].text 我請教一下部長部長你這份報告剛剛雅雯是不好意思說複製貼上這四個字就是以前講過的就繼續講就對了完全沒有任何一些新的改變我第一個問題就是說從去年立法院委員會通過這樣的一個凍結案
transcript.whisperx[685].start 17933.752
transcript.whisperx[685].end 17955.365
transcript.whisperx[685].text 之後你們做了什麼事情?我看不出來就是說因為你今天要要求解凍嘛就是從去年委員提案之後到現在你們有做一些什麼新的調整跟改變這是第一個問題第二個問題呢在柯文哲跟蔡英文總統見面的時候他們所討論的重大議題還提到了勞保年金改革請問總統有沒有交辦你
transcript.whisperx[686].start 17957.711
transcript.whisperx[686].end 17978.924
transcript.whisperx[686].text 年金改革是正式要啟動了還是其實對外這個就是一個公關的見面場合講一講就算了你到目前為止有沒有收到來自總統府蔡英文總統正式的指令說年金改革因為他跟柯P見面有談到這個議題所以我們要正式啟動年金改革要求你
transcript.whisperx[687].start 17979.444
transcript.whisperx[687].end 17996.682
transcript.whisperx[687].text 進一步去研議方案就這兩個問題你回答好不好來報告委員其實從去年做成決議之後我們其實在內部其實一直有針對各個面向包括以後的撥補金額包括各個面向其實因為節省大家時間我就問你外部你開過什麼樣的會議對
transcript.whisperx[688].start 18001.127
transcript.whisperx[688].end 18024.882
transcript.whisperx[688].text 外部就是正式的會議是沒有但是我們有就是我到各個工會去那個好來那第二個問題總統沒有交付你說你應該要繼續改革了年金改革要啟動從他們兩位蔡英文總統跟柯文哲見面現在還沒有收到指示也沒有嗎目前還沒有收到指示因為有說就是說
transcript.whisperx[689].start 18026.383
transcript.whisperx[689].end 18026.543
transcript.whisperx[689].text 何俊仁議員
transcript.whisperx[690].start 18043.127
transcript.whisperx[690].end 18059.082
transcript.whisperx[690].text 是在等待我也不清楚好那反正那這樣訊息就很清楚了今天我們表達繼續凍結其實是主要因為你沒有你從去年提案之後到現在沒有一個具體的做法而且跟外界做任何的清楚的溝通
transcript.whisperx[691].start 18059.858
transcript.whisperx[691].end 18081.443
transcript.whisperx[691].text 那所以繼續凍結我想有他的道理凍結不是委員的本意我們希望你們好好做事那就是今天沒有解凍我就是希望說勞動部你們可以繼續去研議而且應該提出的方案我相信這件事情不是部長的一個責任總統也有責任包括未來的總統即將接任的總統這件事情執政是要負責的也是要扛責的
transcript.whisperx[692].start 18081.883
transcript.whisperx[692].end 18082.043
transcript.whisperx[692].text 責任責任責任責任
transcript.whisperx[693].start 18109.164
transcript.whisperx[693].end 18110.024
transcript.whisperx[693].text 那我再補宣告一次就繼續凍結
transcript.whisperx[694].start 18138.703
transcript.whisperx[694].end 18145.114
transcript.whisperx[694].text 在則日在則期在審查好那本次會議到此結束現在散會
transcript.whisperx[695].start 18149.208
transcript.whisperx[695].end 18150.949
transcript.whisperx[695].text 二、處理中華民國11年度中華民國11年度中華民國11年度