iVOD / 16035

Field Value
IVOD_ID 16035
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16035
日期 2024-06-26
會議資料.會議代碼 委員會-11-1-19-17
會議資料.會議代碼:str 第11屆第1會期經濟委員會第17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 17
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第1會期經濟委員會第17次全體委員會議
影片種類 Full
開始時間 2024-06-26T08:31:01+08:00
結束時間 2024-06-26T12:05:00+08:00
影片長度 03:33:59
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbcf5366a7ae6bcaf7b6918ac9a8133975627684c85f64cd7b20f550b79667337c5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-06-26T09:00:00+08:00
會議名稱 立法院第11屆第1會期經濟委員會第17次全體委員會議(事由:邀請經濟部部長就「面對國營事業未來10年人力嚴重斷層之因應作為」進行報告,並備質詢。【6月26日及6月27日兩天一次會】)
委員名稱 完整會議
委員發言時間 08:31:01 - 12:05:00
transcript.pyannote[0].speaker SPEAKER_10
transcript.pyannote[0].start 530.49659375
transcript.pyannote[0].end 530.85096875
transcript.pyannote[1].speaker SPEAKER_10
transcript.pyannote[1].start 531.74534375
transcript.pyannote[1].end 533.01096875
transcript.pyannote[2].speaker SPEAKER_12
transcript.pyannote[2].start 1443.40034375
transcript.pyannote[2].end 1444.02471875
transcript.pyannote[3].speaker SPEAKER_21
transcript.pyannote[3].start 1749.12471875
transcript.pyannote[3].end 1752.90471875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1754.71034375
transcript.pyannote[4].end 1755.58784375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1756.09409375
transcript.pyannote[5].end 1758.20346875
transcript.pyannote[6].speaker SPEAKER_21
transcript.pyannote[6].start 1759.40159375
transcript.pyannote[6].end 1765.30784375
transcript.pyannote[7].speaker SPEAKER_26
transcript.pyannote[7].start 1766.30346875
transcript.pyannote[7].end 1776.22596875
transcript.pyannote[8].speaker SPEAKER_26
transcript.pyannote[8].start 1776.52971875
transcript.pyannote[8].end 1783.98846875
transcript.pyannote[9].speaker SPEAKER_26
transcript.pyannote[9].start 1784.29221875
transcript.pyannote[9].end 1786.55346875
transcript.pyannote[10].speaker SPEAKER_26
transcript.pyannote[10].start 1786.89096875
transcript.pyannote[10].end 1797.31971875
transcript.pyannote[11].speaker SPEAKER_26
transcript.pyannote[11].start 1798.07909375
transcript.pyannote[11].end 1799.32784375
transcript.pyannote[12].speaker SPEAKER_26
transcript.pyannote[12].start 1799.80034375
transcript.pyannote[12].end 1805.80784375
transcript.pyannote[13].speaker SPEAKER_26
transcript.pyannote[13].start 1805.85846875
transcript.pyannote[13].end 1813.14846875
transcript.pyannote[14].speaker SPEAKER_26
transcript.pyannote[14].start 1813.19909375
transcript.pyannote[14].end 1817.65409375
transcript.pyannote[15].speaker SPEAKER_26
transcript.pyannote[15].start 1818.34596875
transcript.pyannote[15].end 1821.75471875
transcript.pyannote[16].speaker SPEAKER_26
transcript.pyannote[16].start 1822.12596875
transcript.pyannote[16].end 1835.79471875
transcript.pyannote[17].speaker SPEAKER_26
transcript.pyannote[17].start 1836.16596875
transcript.pyannote[17].end 1842.30846875
transcript.pyannote[18].speaker SPEAKER_26
transcript.pyannote[18].start 1843.03409375
transcript.pyannote[18].end 1846.94909375
transcript.pyannote[19].speaker SPEAKER_26
transcript.pyannote[19].start 1847.38784375
transcript.pyannote[19].end 1856.44971875
transcript.pyannote[20].speaker SPEAKER_26
transcript.pyannote[20].start 1856.48346875
transcript.pyannote[20].end 1856.50034375
transcript.pyannote[21].speaker SPEAKER_26
transcript.pyannote[21].start 1856.63534375
transcript.pyannote[21].end 1879.48409375
transcript.pyannote[22].speaker SPEAKER_26
transcript.pyannote[22].start 1880.61471875
transcript.pyannote[22].end 1883.34846875
transcript.pyannote[23].speaker SPEAKER_26
transcript.pyannote[23].start 1883.82096875
transcript.pyannote[23].end 1888.24221875
transcript.pyannote[24].speaker SPEAKER_26
transcript.pyannote[24].start 1888.68096875
transcript.pyannote[24].end 1900.96596875
transcript.pyannote[25].speaker SPEAKER_26
transcript.pyannote[25].start 1901.38784375
transcript.pyannote[25].end 1902.23159375
transcript.pyannote[26].speaker SPEAKER_26
transcript.pyannote[26].start 1902.58596875
transcript.pyannote[26].end 1913.70659375
transcript.pyannote[27].speaker SPEAKER_26
transcript.pyannote[27].start 1913.90909375
transcript.pyannote[27].end 1915.27596875
transcript.pyannote[28].speaker SPEAKER_26
transcript.pyannote[28].start 1915.81596875
transcript.pyannote[28].end 1927.27409375
transcript.pyannote[29].speaker SPEAKER_21
transcript.pyannote[29].start 1929.36659375
transcript.pyannote[29].end 1929.72096875
transcript.pyannote[30].speaker SPEAKER_21
transcript.pyannote[30].start 1930.49721875
transcript.pyannote[30].end 1932.25221875
transcript.pyannote[31].speaker SPEAKER_21
transcript.pyannote[31].start 1933.11284375
transcript.pyannote[31].end 1934.12534375
transcript.pyannote[32].speaker SPEAKER_21
transcript.pyannote[32].start 1934.51346875
transcript.pyannote[32].end 1934.63159375
transcript.pyannote[33].speaker SPEAKER_21
transcript.pyannote[33].start 1936.18409375
transcript.pyannote[33].end 1938.44534375
transcript.pyannote[34].speaker SPEAKER_26
transcript.pyannote[34].start 1939.54221875
transcript.pyannote[34].end 1947.79409375
transcript.pyannote[35].speaker SPEAKER_21
transcript.pyannote[35].start 1948.45221875
transcript.pyannote[35].end 1948.87409375
transcript.pyannote[36].speaker SPEAKER_21
transcript.pyannote[36].start 1949.44784375
transcript.pyannote[36].end 1981.45971875
transcript.pyannote[37].speaker SPEAKER_21
transcript.pyannote[37].start 1981.93221875
transcript.pyannote[37].end 1986.21846875
transcript.pyannote[38].speaker SPEAKER_20
transcript.pyannote[38].start 1996.54596875
transcript.pyannote[38].end 2004.30846875
transcript.pyannote[39].speaker SPEAKER_20
transcript.pyannote[39].start 2004.40971875
transcript.pyannote[39].end 2006.04659375
transcript.pyannote[40].speaker SPEAKER_20
transcript.pyannote[40].start 2006.51909375
transcript.pyannote[40].end 2009.43846875
transcript.pyannote[41].speaker SPEAKER_20
transcript.pyannote[41].start 2009.59034375
transcript.pyannote[41].end 2013.42096875
transcript.pyannote[42].speaker SPEAKER_20
transcript.pyannote[42].start 2013.57284375
transcript.pyannote[42].end 2014.58534375
transcript.pyannote[43].speaker SPEAKER_20
transcript.pyannote[43].start 2014.83846875
transcript.pyannote[43].end 2018.02784375
transcript.pyannote[44].speaker SPEAKER_20
transcript.pyannote[44].start 2018.28096875
transcript.pyannote[44].end 2021.40284375
transcript.pyannote[45].speaker SPEAKER_20
transcript.pyannote[45].start 2021.70659375
transcript.pyannote[45].end 2024.28846875
transcript.pyannote[46].speaker SPEAKER_20
transcript.pyannote[46].start 2024.40659375
transcript.pyannote[46].end 2058.24096875
transcript.pyannote[47].speaker SPEAKER_20
transcript.pyannote[47].start 2059.00034375
transcript.pyannote[47].end 2064.97409375
transcript.pyannote[48].speaker SPEAKER_20
transcript.pyannote[48].start 2065.58159375
transcript.pyannote[48].end 2078.45721875
transcript.pyannote[49].speaker SPEAKER_20
transcript.pyannote[49].start 2078.91284375
transcript.pyannote[49].end 2083.94159375
transcript.pyannote[50].speaker SPEAKER_20
transcript.pyannote[50].start 2084.58284375
transcript.pyannote[50].end 2088.17721875
transcript.pyannote[51].speaker SPEAKER_20
transcript.pyannote[51].start 2088.37971875
transcript.pyannote[51].end 2099.82096875
transcript.pyannote[52].speaker SPEAKER_20
transcript.pyannote[52].start 2100.34409375
transcript.pyannote[52].end 2109.62534375
transcript.pyannote[53].speaker SPEAKER_20
transcript.pyannote[53].start 2109.91221875
transcript.pyannote[53].end 2110.87409375
transcript.pyannote[54].speaker SPEAKER_20
transcript.pyannote[54].start 2111.22846875
transcript.pyannote[54].end 2111.70096875
transcript.pyannote[55].speaker SPEAKER_20
transcript.pyannote[55].start 2111.95409375
transcript.pyannote[55].end 2112.66284375
transcript.pyannote[56].speaker SPEAKER_20
transcript.pyannote[56].start 2113.81034375
transcript.pyannote[56].end 2114.53596875
transcript.pyannote[57].speaker SPEAKER_20
transcript.pyannote[57].start 2115.09284375
transcript.pyannote[57].end 2133.40221875
transcript.pyannote[58].speaker SPEAKER_20
transcript.pyannote[58].start 2133.79034375
transcript.pyannote[58].end 2189.56221875
transcript.pyannote[59].speaker SPEAKER_21
transcript.pyannote[59].start 2196.32909375
transcript.pyannote[59].end 2197.51034375
transcript.pyannote[60].speaker SPEAKER_21
transcript.pyannote[60].start 2198.96159375
transcript.pyannote[60].end 2199.45096875
transcript.pyannote[61].speaker SPEAKER_21
transcript.pyannote[61].start 2200.04159375
transcript.pyannote[61].end 2200.41284375
transcript.pyannote[62].speaker SPEAKER_21
transcript.pyannote[62].start 2201.20596875
transcript.pyannote[62].end 2207.66909375
transcript.pyannote[63].speaker SPEAKER_21
transcript.pyannote[63].start 2208.63096875
transcript.pyannote[63].end 2209.13721875
transcript.pyannote[64].speaker SPEAKER_21
transcript.pyannote[64].start 2209.89659375
transcript.pyannote[64].end 2240.86221875
transcript.pyannote[65].speaker SPEAKER_29
transcript.pyannote[65].start 2243.44409375
transcript.pyannote[65].end 2243.96721875
transcript.pyannote[66].speaker SPEAKER_21
transcript.pyannote[66].start 2243.96721875
transcript.pyannote[66].end 2244.15284375
transcript.pyannote[67].speaker SPEAKER_21
transcript.pyannote[67].start 2245.72221875
transcript.pyannote[67].end 2247.00471875
transcript.pyannote[68].speaker SPEAKER_29
transcript.pyannote[68].start 2253.80534375
transcript.pyannote[68].end 2262.29346875
transcript.pyannote[69].speaker SPEAKER_29
transcript.pyannote[69].start 2262.52971875
transcript.pyannote[69].end 2298.62534375
transcript.pyannote[70].speaker SPEAKER_29
transcript.pyannote[70].start 2298.64221875
transcript.pyannote[70].end 2308.83471875
transcript.pyannote[71].speaker SPEAKER_23
transcript.pyannote[71].start 2308.95284375
transcript.pyannote[71].end 2309.15534375
transcript.pyannote[72].speaker SPEAKER_29
transcript.pyannote[72].start 2309.59409375
transcript.pyannote[72].end 2328.15659375
transcript.pyannote[73].speaker SPEAKER_29
transcript.pyannote[73].start 2328.27471875
transcript.pyannote[73].end 2355.54471875
transcript.pyannote[74].speaker SPEAKER_29
transcript.pyannote[74].start 2355.84846875
transcript.pyannote[74].end 2371.87971875
transcript.pyannote[75].speaker SPEAKER_29
transcript.pyannote[75].start 2372.20034375
transcript.pyannote[75].end 2376.03096875
transcript.pyannote[76].speaker SPEAKER_29
transcript.pyannote[76].start 2376.28409375
transcript.pyannote[76].end 2380.60409375
transcript.pyannote[77].speaker SPEAKER_29
transcript.pyannote[77].start 2380.94159375
transcript.pyannote[77].end 2384.40096875
transcript.pyannote[78].speaker SPEAKER_29
transcript.pyannote[78].start 2384.83971875
transcript.pyannote[78].end 2433.20346875
transcript.pyannote[79].speaker SPEAKER_29
transcript.pyannote[79].start 2433.22034375
transcript.pyannote[79].end 2436.27471875
transcript.pyannote[80].speaker SPEAKER_29
transcript.pyannote[80].start 2437.03409375
transcript.pyannote[80].end 2490.83159375
transcript.pyannote[81].speaker SPEAKER_29
transcript.pyannote[81].start 2491.13534375
transcript.pyannote[81].end 2501.27721875
transcript.pyannote[82].speaker SPEAKER_29
transcript.pyannote[82].start 2501.73284375
transcript.pyannote[82].end 2519.90721875
transcript.pyannote[83].speaker SPEAKER_29
transcript.pyannote[83].start 2519.99159375
transcript.pyannote[83].end 2566.44846875
transcript.pyannote[84].speaker SPEAKER_29
transcript.pyannote[84].start 2566.95471875
transcript.pyannote[84].end 2568.15284375
transcript.pyannote[85].speaker SPEAKER_29
transcript.pyannote[85].start 2568.52409375
transcript.pyannote[85].end 2582.59784375
transcript.pyannote[86].speaker SPEAKER_29
transcript.pyannote[86].start 2583.20534375
transcript.pyannote[86].end 2638.15034375
transcript.pyannote[87].speaker SPEAKER_29
transcript.pyannote[87].start 2638.70721875
transcript.pyannote[87].end 2697.90471875
transcript.pyannote[88].speaker SPEAKER_29
transcript.pyannote[88].start 2698.05659375
transcript.pyannote[88].end 2712.38346875
transcript.pyannote[89].speaker SPEAKER_29
transcript.pyannote[89].start 2712.65346875
transcript.pyannote[89].end 2715.74159375
transcript.pyannote[90].speaker SPEAKER_29
transcript.pyannote[90].start 2716.11284375
transcript.pyannote[90].end 2717.85096875
transcript.pyannote[91].speaker SPEAKER_29
transcript.pyannote[91].start 2718.59346875
transcript.pyannote[91].end 2725.98471875
transcript.pyannote[92].speaker SPEAKER_29
transcript.pyannote[92].start 2726.08596875
transcript.pyannote[92].end 2734.03409375
transcript.pyannote[93].speaker SPEAKER_29
transcript.pyannote[93].start 2734.30409375
transcript.pyannote[93].end 2753.05221875
transcript.pyannote[94].speaker SPEAKER_29
transcript.pyannote[94].start 2753.17034375
transcript.pyannote[94].end 2759.22846875
transcript.pyannote[95].speaker SPEAKER_29
transcript.pyannote[95].start 2759.43096875
transcript.pyannote[95].end 2818.40909375
transcript.pyannote[96].speaker SPEAKER_20
transcript.pyannote[96].start 2818.64534375
transcript.pyannote[96].end 2824.11284375
transcript.pyannote[97].speaker SPEAKER_20
transcript.pyannote[97].start 2824.50096875
transcript.pyannote[97].end 2826.91409375
transcript.pyannote[98].speaker SPEAKER_20
transcript.pyannote[98].start 2827.16721875
transcript.pyannote[98].end 2829.20909375
transcript.pyannote[99].speaker SPEAKER_20
transcript.pyannote[99].start 2829.36096875
transcript.pyannote[99].end 2841.84846875
transcript.pyannote[100].speaker SPEAKER_20
transcript.pyannote[100].start 2842.27034375
transcript.pyannote[100].end 2847.28221875
transcript.pyannote[101].speaker SPEAKER_29
transcript.pyannote[101].start 2845.24034375
transcript.pyannote[101].end 2855.78721875
transcript.pyannote[102].speaker SPEAKER_20
transcript.pyannote[102].start 2847.58596875
transcript.pyannote[102].end 2850.43784375
transcript.pyannote[103].speaker SPEAKER_20
transcript.pyannote[103].start 2850.74159375
transcript.pyannote[103].end 2851.33221875
transcript.pyannote[104].speaker SPEAKER_20
transcript.pyannote[104].start 2851.80471875
transcript.pyannote[104].end 2851.90596875
transcript.pyannote[105].speaker SPEAKER_20
transcript.pyannote[105].start 2854.99409375
transcript.pyannote[105].end 2869.70909375
transcript.pyannote[106].speaker SPEAKER_20
transcript.pyannote[106].start 2869.82721875
transcript.pyannote[106].end 2875.29471875
transcript.pyannote[107].speaker SPEAKER_29
transcript.pyannote[107].start 2875.29471875
transcript.pyannote[107].end 2875.34534375
transcript.pyannote[108].speaker SPEAKER_20
transcript.pyannote[108].start 2875.34534375
transcript.pyannote[108].end 2875.37909375
transcript.pyannote[109].speaker SPEAKER_29
transcript.pyannote[109].start 2875.37909375
transcript.pyannote[109].end 2880.88034375
transcript.pyannote[110].speaker SPEAKER_20
transcript.pyannote[110].start 2880.44159375
transcript.pyannote[110].end 2881.48784375
transcript.pyannote[111].speaker SPEAKER_29
transcript.pyannote[111].start 2881.11659375
transcript.pyannote[111].end 2884.89659375
transcript.pyannote[112].speaker SPEAKER_23
transcript.pyannote[112].start 2881.48784375
transcript.pyannote[112].end 2881.52159375
transcript.pyannote[113].speaker SPEAKER_23
transcript.pyannote[113].start 2884.33971875
transcript.pyannote[113].end 2884.35659375
transcript.pyannote[114].speaker SPEAKER_20
transcript.pyannote[114].start 2884.35659375
transcript.pyannote[114].end 2884.87971875
transcript.pyannote[115].speaker SPEAKER_20
transcript.pyannote[115].start 2884.89659375
transcript.pyannote[115].end 2885.11596875
transcript.pyannote[116].speaker SPEAKER_29
transcript.pyannote[116].start 2885.11596875
transcript.pyannote[116].end 2886.19596875
transcript.pyannote[117].speaker SPEAKER_20
transcript.pyannote[117].start 2885.21721875
transcript.pyannote[117].end 2885.43659375
transcript.pyannote[118].speaker SPEAKER_29
transcript.pyannote[118].start 2887.03971875
transcript.pyannote[118].end 2887.69784375
transcript.pyannote[119].speaker SPEAKER_21
transcript.pyannote[119].start 2891.54534375
transcript.pyannote[119].end 2894.39721875
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 2903.61096875
transcript.pyannote[120].end 2907.25596875
transcript.pyannote[121].speaker SPEAKER_21
transcript.pyannote[121].start 2907.25596875
transcript.pyannote[121].end 2908.28534375
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 2914.39409375
transcript.pyannote[122].end 2920.30034375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 2916.25034375
transcript.pyannote[123].end 2916.58784375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 2917.38096875
transcript.pyannote[124].end 2918.12346875
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 2920.50284375
transcript.pyannote[125].end 2931.15096875
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 2931.38721875
transcript.pyannote[126].end 2932.26471875
transcript.pyannote[127].speaker SPEAKER_20
transcript.pyannote[127].start 2932.66971875
transcript.pyannote[127].end 2933.80034375
transcript.pyannote[128].speaker SPEAKER_20
transcript.pyannote[128].start 2934.22221875
transcript.pyannote[128].end 2934.23909375
transcript.pyannote[129].speaker SPEAKER_20
transcript.pyannote[129].start 2934.25596875
transcript.pyannote[129].end 2935.48784375
transcript.pyannote[130].speaker SPEAKER_20
transcript.pyannote[130].start 2935.90971875
transcript.pyannote[130].end 2939.25096875
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 2939.74034375
transcript.pyannote[131].end 2945.52846875
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 2945.66346875
transcript.pyannote[132].end 2951.89034375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 2952.49784375
transcript.pyannote[133].end 2973.15284375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 2968.30971875
transcript.pyannote[134].end 2968.74846875
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 2973.74346875
transcript.pyannote[135].end 2988.05346875
transcript.pyannote[136].speaker SPEAKER_15
transcript.pyannote[136].start 2988.05346875
transcript.pyannote[136].end 2993.87534375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 2988.44159375
transcript.pyannote[137].end 2988.98159375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 2993.01471875
transcript.pyannote[138].end 2994.33096875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 2994.41534375
transcript.pyannote[139].end 2997.09846875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 2997.53721875
transcript.pyannote[140].end 3000.32159375
transcript.pyannote[141].speaker SPEAKER_23
transcript.pyannote[141].start 2997.58784375
transcript.pyannote[141].end 2997.99284375
transcript.pyannote[142].speaker SPEAKER_23
transcript.pyannote[142].start 2999.79846875
transcript.pyannote[142].end 3000.59159375
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 3000.52409375
transcript.pyannote[143].end 3019.08659375
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 3019.15409375
transcript.pyannote[144].end 3025.02659375
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 3025.36409375
transcript.pyannote[145].end 3030.44346875
transcript.pyannote[146].speaker SPEAKER_15
transcript.pyannote[146].start 3030.89909375
transcript.pyannote[146].end 3032.45159375
transcript.pyannote[147].speaker SPEAKER_15
transcript.pyannote[147].start 3032.89034375
transcript.pyannote[147].end 3042.40784375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 3033.86909375
transcript.pyannote[148].end 3035.11784375
transcript.pyannote[149].speaker SPEAKER_15
transcript.pyannote[149].start 3042.88034375
transcript.pyannote[149].end 3050.54159375
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 3050.49096875
transcript.pyannote[150].end 3063.85596875
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 3064.68284375
transcript.pyannote[151].end 3066.33659375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 3067.14659375
transcript.pyannote[152].end 3068.88471875
transcript.pyannote[153].speaker SPEAKER_15
transcript.pyannote[153].start 3068.88471875
transcript.pyannote[153].end 3070.62284375
transcript.pyannote[154].speaker SPEAKER_04
transcript.pyannote[154].start 3069.27284375
transcript.pyannote[154].end 3069.86346875
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 3070.23471875
transcript.pyannote[155].end 3072.98534375
transcript.pyannote[156].speaker SPEAKER_15
transcript.pyannote[156].start 3073.10346875
transcript.pyannote[156].end 3073.52534375
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 3073.50846875
transcript.pyannote[157].end 3080.03909375
transcript.pyannote[158].speaker SPEAKER_05
transcript.pyannote[158].start 3073.52534375
transcript.pyannote[158].end 3073.54221875
transcript.pyannote[159].speaker SPEAKER_15
transcript.pyannote[159].start 3080.03909375
transcript.pyannote[159].end 3080.46096875
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 3080.08971875
transcript.pyannote[160].end 3082.77284375
transcript.pyannote[161].speaker SPEAKER_15
transcript.pyannote[161].start 3082.80659375
transcript.pyannote[161].end 3084.42659375
transcript.pyannote[162].speaker SPEAKER_15
transcript.pyannote[162].start 3084.96659375
transcript.pyannote[162].end 3106.97159375
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 3105.70596875
transcript.pyannote[163].end 3108.50721875
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 3109.30034375
transcript.pyannote[164].end 3137.61659375
transcript.pyannote[165].speaker SPEAKER_15
transcript.pyannote[165].start 3137.97096875
transcript.pyannote[165].end 3148.02846875
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 3147.08346875
transcript.pyannote[166].end 3150.74534375
transcript.pyannote[167].speaker SPEAKER_15
transcript.pyannote[167].start 3148.56846875
transcript.pyannote[167].end 3149.10846875
transcript.pyannote[168].speaker SPEAKER_15
transcript.pyannote[168].start 3151.06596875
transcript.pyannote[168].end 3151.42034375
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 3152.09534375
transcript.pyannote[169].end 3174.85971875
transcript.pyannote[170].speaker SPEAKER_15
transcript.pyannote[170].start 3155.06534375
transcript.pyannote[170].end 3155.48721875
transcript.pyannote[171].speaker SPEAKER_15
transcript.pyannote[171].start 3174.85971875
transcript.pyannote[171].end 3175.33221875
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 3175.33221875
transcript.pyannote[172].end 3187.93784375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 3188.29221875
transcript.pyannote[173].end 3207.00659375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 3188.30909375
transcript.pyannote[174].end 3188.62971875
transcript.pyannote[175].speaker SPEAKER_15
transcript.pyannote[175].start 3206.17971875
transcript.pyannote[175].end 3208.52534375
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 3208.69409375
transcript.pyannote[176].end 3209.09909375
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 3209.63909375
transcript.pyannote[177].end 3227.50971875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 3228.31971875
transcript.pyannote[178].end 3234.42846875
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 3235.30596875
transcript.pyannote[179].end 3239.64284375
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 3239.87909375
transcript.pyannote[180].end 3263.06534375
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 3263.43659375
transcript.pyannote[181].end 3268.17846875
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 3268.68471875
transcript.pyannote[182].end 3281.22284375
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 3281.76284375
transcript.pyannote[183].end 3285.59346875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 3285.88034375
transcript.pyannote[184].end 3286.36971875
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 3286.43721875
transcript.pyannote[185].end 3287.36534375
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 3287.70284375
transcript.pyannote[186].end 3289.17096875
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 3289.74471875
transcript.pyannote[187].end 3291.44909375
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 3292.09034375
transcript.pyannote[188].end 3294.85784375
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 3295.16159375
transcript.pyannote[189].end 3297.16971875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 3297.54096875
transcript.pyannote[190].end 3298.55346875
transcript.pyannote[191].speaker SPEAKER_15
transcript.pyannote[191].start 3297.59159375
transcript.pyannote[191].end 3298.01346875
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 3298.99221875
transcript.pyannote[192].end 3301.18596875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 3301.45596875
transcript.pyannote[193].end 3301.91159375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 3302.40096875
transcript.pyannote[194].end 3306.04596875
transcript.pyannote[195].speaker SPEAKER_20
transcript.pyannote[195].start 3306.04596875
transcript.pyannote[195].end 3311.10846875
transcript.pyannote[196].speaker SPEAKER_20
transcript.pyannote[196].start 3312.17159375
transcript.pyannote[196].end 3315.61409375
transcript.pyannote[197].speaker SPEAKER_20
transcript.pyannote[197].start 3315.68159375
transcript.pyannote[197].end 3326.27909375
transcript.pyannote[198].speaker SPEAKER_20
transcript.pyannote[198].start 3326.54909375
transcript.pyannote[198].end 3346.93409375
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 3339.25596875
transcript.pyannote[199].end 3339.84659375
transcript.pyannote[200].speaker SPEAKER_20
transcript.pyannote[200].start 3346.95096875
transcript.pyannote[200].end 3357.09284375
transcript.pyannote[201].speaker SPEAKER_20
transcript.pyannote[201].start 3357.97034375
transcript.pyannote[201].end 3363.92721875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 3364.38284375
transcript.pyannote[202].end 3375.43596875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 3373.90034375
transcript.pyannote[203].end 3374.03534375
transcript.pyannote[204].speaker SPEAKER_12
transcript.pyannote[204].start 3374.03534375
transcript.pyannote[204].end 3374.50784375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 3374.50784375
transcript.pyannote[205].end 3374.54159375
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 3376.39784375
transcript.pyannote[206].end 3385.30784375
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 3386.01659375
transcript.pyannote[207].end 3386.99534375
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 3387.60284375
transcript.pyannote[208].end 3395.11221875
transcript.pyannote[209].speaker SPEAKER_12
transcript.pyannote[209].start 3395.01096875
transcript.pyannote[209].end 3395.09534375
transcript.pyannote[210].speaker SPEAKER_12
transcript.pyannote[210].start 3395.11221875
transcript.pyannote[210].end 3395.12909375
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 3395.12909375
transcript.pyannote[211].end 3405.62534375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 3403.54971875
transcript.pyannote[212].end 3403.60034375
transcript.pyannote[213].speaker SPEAKER_23
transcript.pyannote[213].start 3403.60034375
transcript.pyannote[213].end 3403.73534375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 3403.73534375
transcript.pyannote[214].end 3403.75221875
transcript.pyannote[215].speaker SPEAKER_23
transcript.pyannote[215].start 3405.49034375
transcript.pyannote[215].end 3405.76034375
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 3405.76034375
transcript.pyannote[216].end 3413.42159375
transcript.pyannote[217].speaker SPEAKER_23
transcript.pyannote[217].start 3405.77721875
transcript.pyannote[217].end 3405.84471875
transcript.pyannote[218].speaker SPEAKER_23
transcript.pyannote[218].start 3411.48096875
transcript.pyannote[218].end 3411.88596875
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 3413.84346875
transcript.pyannote[219].end 3421.53846875
transcript.pyannote[220].speaker SPEAKER_21
transcript.pyannote[220].start 3421.21784375
transcript.pyannote[220].end 3421.48784375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 3422.65221875
transcript.pyannote[221].end 3423.52971875
transcript.pyannote[222].speaker SPEAKER_21
transcript.pyannote[222].start 3428.92971875
transcript.pyannote[222].end 3430.38096875
transcript.pyannote[223].speaker SPEAKER_21
transcript.pyannote[223].start 3430.63409375
transcript.pyannote[223].end 3432.54096875
transcript.pyannote[224].speaker SPEAKER_23
transcript.pyannote[224].start 3433.28346875
transcript.pyannote[224].end 3433.67159375
transcript.pyannote[225].speaker SPEAKER_13
transcript.pyannote[225].start 3440.77596875
transcript.pyannote[225].end 3442.98659375
transcript.pyannote[226].speaker SPEAKER_13
transcript.pyannote[226].start 3443.07096875
transcript.pyannote[226].end 3444.33659375
transcript.pyannote[227].speaker SPEAKER_21
transcript.pyannote[227].start 3443.98221875
transcript.pyannote[227].end 3445.01159375
transcript.pyannote[228].speaker SPEAKER_13
transcript.pyannote[228].start 3444.79221875
transcript.pyannote[228].end 3445.92284375
transcript.pyannote[229].speaker SPEAKER_21
transcript.pyannote[229].start 3446.24346875
transcript.pyannote[229].end 3447.40784375
transcript.pyannote[230].speaker SPEAKER_13
transcript.pyannote[230].start 3457.95471875
transcript.pyannote[230].end 3459.20346875
transcript.pyannote[231].speaker SPEAKER_13
transcript.pyannote[231].start 3461.63346875
transcript.pyannote[231].end 3462.35909375
transcript.pyannote[232].speaker SPEAKER_13
transcript.pyannote[232].start 3462.64596875
transcript.pyannote[232].end 3463.99596875
transcript.pyannote[233].speaker SPEAKER_13
transcript.pyannote[233].start 3464.87346875
transcript.pyannote[233].end 3466.62846875
transcript.pyannote[234].speaker SPEAKER_13
transcript.pyannote[234].start 3467.59034375
transcript.pyannote[234].end 3469.53096875
transcript.pyannote[235].speaker SPEAKER_13
transcript.pyannote[235].start 3470.37471875
transcript.pyannote[235].end 3471.84284375
transcript.pyannote[236].speaker SPEAKER_13
transcript.pyannote[236].start 3472.72034375
transcript.pyannote[236].end 3473.90159375
transcript.pyannote[237].speaker SPEAKER_13
transcript.pyannote[237].start 3474.55971875
transcript.pyannote[237].end 3475.47096875
transcript.pyannote[238].speaker SPEAKER_13
transcript.pyannote[238].start 3476.09534375
transcript.pyannote[238].end 3477.00659375
transcript.pyannote[239].speaker SPEAKER_13
transcript.pyannote[239].start 3477.56346875
transcript.pyannote[239].end 3478.28909375
transcript.pyannote[240].speaker SPEAKER_13
transcript.pyannote[240].start 3478.72784375
transcript.pyannote[240].end 3492.00846875
transcript.pyannote[241].speaker SPEAKER_13
transcript.pyannote[241].start 3492.56534375
transcript.pyannote[241].end 3495.45096875
transcript.pyannote[242].speaker SPEAKER_13
transcript.pyannote[242].start 3496.05846875
transcript.pyannote[242].end 3497.02034375
transcript.pyannote[243].speaker SPEAKER_13
transcript.pyannote[243].start 3498.72471875
transcript.pyannote[243].end 3501.07034375
transcript.pyannote[244].speaker SPEAKER_13
transcript.pyannote[244].start 3501.69471875
transcript.pyannote[244].end 3502.16721875
transcript.pyannote[245].speaker SPEAKER_13
transcript.pyannote[245].start 3503.01096875
transcript.pyannote[245].end 3504.85034375
transcript.pyannote[246].speaker SPEAKER_13
transcript.pyannote[246].start 3505.66034375
transcript.pyannote[246].end 3508.17471875
transcript.pyannote[247].speaker SPEAKER_13
transcript.pyannote[247].start 3509.27159375
transcript.pyannote[247].end 3510.31784375
transcript.pyannote[248].speaker SPEAKER_13
transcript.pyannote[248].start 3510.53721875
transcript.pyannote[248].end 3511.98846875
transcript.pyannote[249].speaker SPEAKER_13
transcript.pyannote[249].start 3512.81534375
transcript.pyannote[249].end 3517.57409375
transcript.pyannote[250].speaker SPEAKER_13
transcript.pyannote[250].start 3517.91159375
transcript.pyannote[250].end 3521.84346875
transcript.pyannote[251].speaker SPEAKER_13
transcript.pyannote[251].start 3522.77159375
transcript.pyannote[251].end 3523.61534375
transcript.pyannote[252].speaker SPEAKER_13
transcript.pyannote[252].start 3524.27346875
transcript.pyannote[252].end 3524.74596875
transcript.pyannote[253].speaker SPEAKER_13
transcript.pyannote[253].start 3525.69096875
transcript.pyannote[253].end 3526.66971875
transcript.pyannote[254].speaker SPEAKER_13
transcript.pyannote[254].start 3527.32784375
transcript.pyannote[254].end 3530.24721875
transcript.pyannote[255].speaker SPEAKER_13
transcript.pyannote[255].start 3531.54659375
transcript.pyannote[255].end 3532.27221875
transcript.pyannote[256].speaker SPEAKER_13
transcript.pyannote[256].start 3532.45784375
transcript.pyannote[256].end 3533.65596875
transcript.pyannote[257].speaker SPEAKER_15
transcript.pyannote[257].start 3535.84971875
transcript.pyannote[257].end 3535.90034375
transcript.pyannote[258].speaker SPEAKER_13
transcript.pyannote[258].start 3535.90034375
transcript.pyannote[258].end 3535.96784375
transcript.pyannote[259].speaker SPEAKER_15
transcript.pyannote[259].start 3535.96784375
transcript.pyannote[259].end 3536.03534375
transcript.pyannote[260].speaker SPEAKER_13
transcript.pyannote[260].start 3536.03534375
transcript.pyannote[260].end 3536.35596875
transcript.pyannote[261].speaker SPEAKER_15
transcript.pyannote[261].start 3536.35596875
transcript.pyannote[261].end 3538.24596875
transcript.pyannote[262].speaker SPEAKER_13
transcript.pyannote[262].start 3536.42346875
transcript.pyannote[262].end 3537.60471875
transcript.pyannote[263].speaker SPEAKER_13
transcript.pyannote[263].start 3538.24596875
transcript.pyannote[263].end 3540.77721875
transcript.pyannote[264].speaker SPEAKER_13
transcript.pyannote[264].start 3541.24971875
transcript.pyannote[264].end 3542.51534375
transcript.pyannote[265].speaker SPEAKER_13
transcript.pyannote[265].start 3543.40971875
transcript.pyannote[265].end 3544.08471875
transcript.pyannote[266].speaker SPEAKER_13
transcript.pyannote[266].start 3546.61596875
transcript.pyannote[266].end 3548.57346875
transcript.pyannote[267].speaker SPEAKER_13
transcript.pyannote[267].start 3548.92784375
transcript.pyannote[267].end 3549.56909375
transcript.pyannote[268].speaker SPEAKER_13
transcript.pyannote[268].start 3549.99096875
transcript.pyannote[268].end 3551.79659375
transcript.pyannote[269].speaker SPEAKER_13
transcript.pyannote[269].start 3552.33659375
transcript.pyannote[269].end 3552.94409375
transcript.pyannote[270].speaker SPEAKER_13
transcript.pyannote[270].start 3553.51784375
transcript.pyannote[270].end 3554.37846875
transcript.pyannote[271].speaker SPEAKER_13
transcript.pyannote[271].start 3554.96909375
transcript.pyannote[271].end 3555.81284375
transcript.pyannote[272].speaker SPEAKER_13
transcript.pyannote[272].start 3556.20096875
transcript.pyannote[272].end 3558.02346875
transcript.pyannote[273].speaker SPEAKER_13
transcript.pyannote[273].start 3558.63096875
transcript.pyannote[273].end 3562.00596875
transcript.pyannote[274].speaker SPEAKER_13
transcript.pyannote[274].start 3562.69784375
transcript.pyannote[274].end 3565.54971875
transcript.pyannote[275].speaker SPEAKER_13
transcript.pyannote[275].start 3565.87034375
transcript.pyannote[275].end 3567.96284375
transcript.pyannote[276].speaker SPEAKER_13
transcript.pyannote[276].start 3568.53659375
transcript.pyannote[276].end 3572.95784375
transcript.pyannote[277].speaker SPEAKER_13
transcript.pyannote[277].start 3573.43034375
transcript.pyannote[277].end 3575.53971875
transcript.pyannote[278].speaker SPEAKER_13
transcript.pyannote[278].start 3576.23159375
transcript.pyannote[278].end 3577.54784375
transcript.pyannote[279].speaker SPEAKER_13
transcript.pyannote[279].start 3578.35784375
transcript.pyannote[279].end 3579.10034375
transcript.pyannote[280].speaker SPEAKER_13
transcript.pyannote[280].start 3579.65721875
transcript.pyannote[280].end 3580.43346875
transcript.pyannote[281].speaker SPEAKER_13
transcript.pyannote[281].start 3581.63159375
transcript.pyannote[281].end 3583.69034375
transcript.pyannote[282].speaker SPEAKER_13
transcript.pyannote[282].start 3586.25534375
transcript.pyannote[282].end 3588.87096875
transcript.pyannote[283].speaker SPEAKER_13
transcript.pyannote[283].start 3589.29284375
transcript.pyannote[283].end 3590.10284375
transcript.pyannote[284].speaker SPEAKER_13
transcript.pyannote[284].start 3590.37284375
transcript.pyannote[284].end 3592.38096875
transcript.pyannote[285].speaker SPEAKER_13
transcript.pyannote[285].start 3592.92096875
transcript.pyannote[285].end 3594.65909375
transcript.pyannote[286].speaker SPEAKER_13
transcript.pyannote[286].start 3595.36784375
transcript.pyannote[286].end 3597.79784375
transcript.pyannote[287].speaker SPEAKER_13
transcript.pyannote[287].start 3598.08471875
transcript.pyannote[287].end 3599.94096875
transcript.pyannote[288].speaker SPEAKER_13
transcript.pyannote[288].start 3601.07159375
transcript.pyannote[288].end 3604.12596875
transcript.pyannote[289].speaker SPEAKER_13
transcript.pyannote[289].start 3605.12159375
transcript.pyannote[289].end 3606.55596875
transcript.pyannote[290].speaker SPEAKER_13
transcript.pyannote[290].start 3607.50096875
transcript.pyannote[290].end 3607.93971875
transcript.pyannote[291].speaker SPEAKER_13
transcript.pyannote[291].start 3608.59784375
transcript.pyannote[291].end 3609.23909375
transcript.pyannote[292].speaker SPEAKER_13
transcript.pyannote[292].start 3609.62721875
transcript.pyannote[292].end 3610.36971875
transcript.pyannote[293].speaker SPEAKER_13
transcript.pyannote[293].start 3611.09534375
transcript.pyannote[293].end 3612.81659375
transcript.pyannote[294].speaker SPEAKER_13
transcript.pyannote[294].start 3613.86284375
transcript.pyannote[294].end 3615.68534375
transcript.pyannote[295].speaker SPEAKER_15
transcript.pyannote[295].start 3615.68534375
transcript.pyannote[295].end 3615.70221875
transcript.pyannote[296].speaker SPEAKER_15
transcript.pyannote[296].start 3617.42346875
transcript.pyannote[296].end 3618.58784375
transcript.pyannote[297].speaker SPEAKER_15
transcript.pyannote[297].start 3618.95909375
transcript.pyannote[297].end 3619.56659375
transcript.pyannote[298].speaker SPEAKER_15
transcript.pyannote[298].start 3619.68471875
transcript.pyannote[298].end 3625.97909375
transcript.pyannote[299].speaker SPEAKER_15
transcript.pyannote[299].start 3626.26596875
transcript.pyannote[299].end 3637.65659375
transcript.pyannote[300].speaker SPEAKER_13
transcript.pyannote[300].start 3629.20221875
transcript.pyannote[300].end 3629.77596875
transcript.pyannote[301].speaker SPEAKER_13
transcript.pyannote[301].start 3634.48409375
transcript.pyannote[301].end 3641.72346875
transcript.pyannote[302].speaker SPEAKER_13
transcript.pyannote[302].start 3642.22971875
transcript.pyannote[302].end 3644.08596875
transcript.pyannote[303].speaker SPEAKER_13
transcript.pyannote[303].start 3644.45721875
transcript.pyannote[303].end 3645.80721875
transcript.pyannote[304].speaker SPEAKER_13
transcript.pyannote[304].start 3646.75221875
transcript.pyannote[304].end 3650.04284375
transcript.pyannote[305].speaker SPEAKER_13
transcript.pyannote[305].start 3650.16096875
transcript.pyannote[305].end 3654.49784375
transcript.pyannote[306].speaker SPEAKER_13
transcript.pyannote[306].start 3654.93659375
transcript.pyannote[306].end 3656.16846875
transcript.pyannote[307].speaker SPEAKER_13
transcript.pyannote[307].start 3656.43846875
transcript.pyannote[307].end 3657.92346875
transcript.pyannote[308].speaker SPEAKER_13
transcript.pyannote[308].start 3658.81784375
transcript.pyannote[308].end 3659.50971875
transcript.pyannote[309].speaker SPEAKER_13
transcript.pyannote[309].start 3660.04971875
transcript.pyannote[309].end 3662.47971875
transcript.pyannote[310].speaker SPEAKER_13
transcript.pyannote[310].start 3662.96909375
transcript.pyannote[310].end 3667.30596875
transcript.pyannote[311].speaker SPEAKER_15
transcript.pyannote[311].start 3667.30596875
transcript.pyannote[311].end 3667.32284375
transcript.pyannote[312].speaker SPEAKER_13
transcript.pyannote[312].start 3667.86284375
transcript.pyannote[312].end 3667.96409375
transcript.pyannote[313].speaker SPEAKER_15
transcript.pyannote[313].start 3667.96409375
transcript.pyannote[313].end 3672.33471875
transcript.pyannote[314].speaker SPEAKER_13
transcript.pyannote[314].start 3671.52471875
transcript.pyannote[314].end 3673.65096875
transcript.pyannote[315].speaker SPEAKER_13
transcript.pyannote[315].start 3674.25846875
transcript.pyannote[315].end 3676.92471875
transcript.pyannote[316].speaker SPEAKER_13
transcript.pyannote[316].start 3676.95846875
transcript.pyannote[316].end 3678.27471875
transcript.pyannote[317].speaker SPEAKER_13
transcript.pyannote[317].start 3679.37159375
transcript.pyannote[317].end 3680.18159375
transcript.pyannote[318].speaker SPEAKER_13
transcript.pyannote[318].start 3680.70471875
transcript.pyannote[318].end 3682.44284375
transcript.pyannote[319].speaker SPEAKER_13
transcript.pyannote[319].start 3683.10096875
transcript.pyannote[319].end 3685.39596875
transcript.pyannote[320].speaker SPEAKER_13
transcript.pyannote[320].start 3685.83471875
transcript.pyannote[320].end 3689.80034375
transcript.pyannote[321].speaker SPEAKER_13
transcript.pyannote[321].start 3690.10409375
transcript.pyannote[321].end 3696.39846875
transcript.pyannote[322].speaker SPEAKER_00
transcript.pyannote[322].start 3692.88846875
transcript.pyannote[322].end 3693.02346875
transcript.pyannote[323].speaker SPEAKER_12
transcript.pyannote[323].start 3693.02346875
transcript.pyannote[323].end 3693.86721875
transcript.pyannote[324].speaker SPEAKER_13
transcript.pyannote[324].start 3696.71909375
transcript.pyannote[324].end 3697.93409375
transcript.pyannote[325].speaker SPEAKER_13
transcript.pyannote[325].start 3698.76096875
transcript.pyannote[325].end 3700.00971875
transcript.pyannote[326].speaker SPEAKER_13
transcript.pyannote[326].start 3700.46534375
transcript.pyannote[326].end 3701.79846875
transcript.pyannote[327].speaker SPEAKER_15
transcript.pyannote[327].start 3701.79846875
transcript.pyannote[327].end 3701.81534375
transcript.pyannote[328].speaker SPEAKER_13
transcript.pyannote[328].start 3702.25409375
transcript.pyannote[328].end 3702.74346875
transcript.pyannote[329].speaker SPEAKER_15
transcript.pyannote[329].start 3702.74346875
transcript.pyannote[329].end 3702.76034375
transcript.pyannote[330].speaker SPEAKER_13
transcript.pyannote[330].start 3703.33409375
transcript.pyannote[330].end 3703.35096875
transcript.pyannote[331].speaker SPEAKER_15
transcript.pyannote[331].start 3703.35096875
transcript.pyannote[331].end 3720.47909375
transcript.pyannote[332].speaker SPEAKER_14
transcript.pyannote[332].start 3708.78471875
transcript.pyannote[332].end 3709.22346875
transcript.pyannote[333].speaker SPEAKER_13
transcript.pyannote[333].start 3718.35284375
transcript.pyannote[333].end 3724.19159375
transcript.pyannote[334].speaker SPEAKER_13
transcript.pyannote[334].start 3725.17034375
transcript.pyannote[334].end 3728.24159375
transcript.pyannote[335].speaker SPEAKER_13
transcript.pyannote[335].start 3729.01784375
transcript.pyannote[335].end 3733.47284375
transcript.pyannote[336].speaker SPEAKER_13
transcript.pyannote[336].start 3734.53596875
transcript.pyannote[336].end 3745.75784375
transcript.pyannote[337].speaker SPEAKER_15
transcript.pyannote[337].start 3745.75784375
transcript.pyannote[337].end 3745.87596875
transcript.pyannote[338].speaker SPEAKER_13
transcript.pyannote[338].start 3745.87596875
transcript.pyannote[338].end 3745.97721875
transcript.pyannote[339].speaker SPEAKER_15
transcript.pyannote[339].start 3745.97721875
transcript.pyannote[339].end 3748.55909375
transcript.pyannote[340].speaker SPEAKER_13
transcript.pyannote[340].start 3747.44534375
transcript.pyannote[340].end 3749.35221875
transcript.pyannote[341].speaker SPEAKER_13
transcript.pyannote[341].start 3749.79096875
transcript.pyannote[341].end 3755.51159375
transcript.pyannote[342].speaker SPEAKER_13
transcript.pyannote[342].start 3756.05159375
transcript.pyannote[342].end 3757.24971875
transcript.pyannote[343].speaker SPEAKER_25
transcript.pyannote[343].start 3756.20346875
transcript.pyannote[343].end 3756.47346875
transcript.pyannote[344].speaker SPEAKER_25
transcript.pyannote[344].start 3757.53659375
transcript.pyannote[344].end 3757.55346875
transcript.pyannote[345].speaker SPEAKER_13
transcript.pyannote[345].start 3757.55346875
transcript.pyannote[345].end 3757.72221875
transcript.pyannote[346].speaker SPEAKER_25
transcript.pyannote[346].start 3757.72221875
transcript.pyannote[346].end 3757.77284375
transcript.pyannote[347].speaker SPEAKER_13
transcript.pyannote[347].start 3757.77284375
transcript.pyannote[347].end 3757.80659375
transcript.pyannote[348].speaker SPEAKER_13
transcript.pyannote[348].start 3758.00909375
transcript.pyannote[348].end 3758.38034375
transcript.pyannote[349].speaker SPEAKER_13
transcript.pyannote[349].start 3759.02159375
transcript.pyannote[349].end 3760.75971875
transcript.pyannote[350].speaker SPEAKER_13
transcript.pyannote[350].start 3760.82721875
transcript.pyannote[350].end 3761.53596875
transcript.pyannote[351].speaker SPEAKER_13
transcript.pyannote[351].start 3762.17721875
transcript.pyannote[351].end 3766.17659375
transcript.pyannote[352].speaker SPEAKER_13
transcript.pyannote[352].start 3767.62784375
transcript.pyannote[352].end 3768.52221875
transcript.pyannote[353].speaker SPEAKER_13
transcript.pyannote[353].start 3769.45034375
transcript.pyannote[353].end 3771.55971875
transcript.pyannote[354].speaker SPEAKER_13
transcript.pyannote[354].start 3772.28534375
transcript.pyannote[354].end 3773.11221875
transcript.pyannote[355].speaker SPEAKER_13
transcript.pyannote[355].start 3773.16284375
transcript.pyannote[355].end 3776.77409375
transcript.pyannote[356].speaker SPEAKER_13
transcript.pyannote[356].start 3777.51659375
transcript.pyannote[356].end 3778.22534375
transcript.pyannote[357].speaker SPEAKER_13
transcript.pyannote[357].start 3778.68096875
transcript.pyannote[357].end 3779.49096875
transcript.pyannote[358].speaker SPEAKER_15
transcript.pyannote[358].start 3780.65534375
transcript.pyannote[358].end 3783.47346875
transcript.pyannote[359].speaker SPEAKER_15
transcript.pyannote[359].start 3783.54096875
transcript.pyannote[359].end 3783.55784375
transcript.pyannote[360].speaker SPEAKER_15
transcript.pyannote[360].start 3783.57471875
transcript.pyannote[360].end 3783.62534375
transcript.pyannote[361].speaker SPEAKER_13
transcript.pyannote[361].start 3783.62534375
transcript.pyannote[361].end 3783.69284375
transcript.pyannote[362].speaker SPEAKER_15
transcript.pyannote[362].start 3783.69284375
transcript.pyannote[362].end 3783.92909375
transcript.pyannote[363].speaker SPEAKER_13
transcript.pyannote[363].start 3783.92909375
transcript.pyannote[363].end 3783.94596875
transcript.pyannote[364].speaker SPEAKER_15
transcript.pyannote[364].start 3783.94596875
transcript.pyannote[364].end 3784.03034375
transcript.pyannote[365].speaker SPEAKER_13
transcript.pyannote[365].start 3784.03034375
transcript.pyannote[365].end 3784.97534375
transcript.pyannote[366].speaker SPEAKER_15
transcript.pyannote[366].start 3784.97534375
transcript.pyannote[366].end 3785.02596875
transcript.pyannote[367].speaker SPEAKER_13
transcript.pyannote[367].start 3785.02596875
transcript.pyannote[367].end 3785.39721875
transcript.pyannote[368].speaker SPEAKER_13
transcript.pyannote[368].start 3785.93721875
transcript.pyannote[368].end 3786.40971875
transcript.pyannote[369].speaker SPEAKER_13
transcript.pyannote[369].start 3787.67534375
transcript.pyannote[369].end 3788.14784375
transcript.pyannote[370].speaker SPEAKER_13
transcript.pyannote[370].start 3789.12659375
transcript.pyannote[370].end 3792.41721875
transcript.pyannote[371].speaker SPEAKER_13
transcript.pyannote[371].start 3792.46784375
transcript.pyannote[371].end 3794.69534375
transcript.pyannote[372].speaker SPEAKER_13
transcript.pyannote[372].start 3795.89346875
transcript.pyannote[372].end 3798.15471875
transcript.pyannote[373].speaker SPEAKER_13
transcript.pyannote[373].start 3798.88034375
transcript.pyannote[373].end 3800.02784375
transcript.pyannote[374].speaker SPEAKER_15
transcript.pyannote[374].start 3800.02784375
transcript.pyannote[374].end 3802.72784375
transcript.pyannote[375].speaker SPEAKER_13
transcript.pyannote[375].start 3801.66471875
transcript.pyannote[375].end 3805.52909375
transcript.pyannote[376].speaker SPEAKER_13
transcript.pyannote[376].start 3806.33909375
transcript.pyannote[376].end 3809.19096875
transcript.pyannote[377].speaker SPEAKER_20
transcript.pyannote[377].start 3809.19096875
transcript.pyannote[377].end 3809.68034375
transcript.pyannote[378].speaker SPEAKER_20
transcript.pyannote[378].start 3809.76471875
transcript.pyannote[378].end 3809.83221875
transcript.pyannote[379].speaker SPEAKER_13
transcript.pyannote[379].start 3809.93346875
transcript.pyannote[379].end 3812.97096875
transcript.pyannote[380].speaker SPEAKER_15
transcript.pyannote[380].start 3812.97096875
transcript.pyannote[380].end 3818.26971875
transcript.pyannote[381].speaker SPEAKER_13
transcript.pyannote[381].start 3817.37534375
transcript.pyannote[381].end 3819.67034375
transcript.pyannote[382].speaker SPEAKER_13
transcript.pyannote[382].start 3820.10909375
transcript.pyannote[382].end 3821.10471875
transcript.pyannote[383].speaker SPEAKER_13
transcript.pyannote[383].start 3823.34909375
transcript.pyannote[383].end 3824.10846875
transcript.pyannote[384].speaker SPEAKER_15
transcript.pyannote[384].start 3825.22221875
transcript.pyannote[384].end 3825.23909375
transcript.pyannote[385].speaker SPEAKER_13
transcript.pyannote[385].start 3825.23909375
transcript.pyannote[385].end 3825.42471875
transcript.pyannote[386].speaker SPEAKER_15
transcript.pyannote[386].start 3825.42471875
transcript.pyannote[386].end 3825.86346875
transcript.pyannote[387].speaker SPEAKER_15
transcript.pyannote[387].start 3826.33596875
transcript.pyannote[387].end 3829.17096875
transcript.pyannote[388].speaker SPEAKER_20
transcript.pyannote[388].start 3826.40346875
transcript.pyannote[388].end 3835.02659375
transcript.pyannote[389].speaker SPEAKER_13
transcript.pyannote[389].start 3832.76534375
transcript.pyannote[389].end 3837.06846875
transcript.pyannote[390].speaker SPEAKER_12
transcript.pyannote[390].start 3835.02659375
transcript.pyannote[390].end 3836.29221875
transcript.pyannote[391].speaker SPEAKER_13
transcript.pyannote[391].start 3837.16971875
transcript.pyannote[391].end 3837.30471875
transcript.pyannote[392].speaker SPEAKER_13
transcript.pyannote[392].start 3837.32159375
transcript.pyannote[392].end 3838.90784375
transcript.pyannote[393].speaker SPEAKER_12
transcript.pyannote[393].start 3838.90784375
transcript.pyannote[393].end 3839.32971875
transcript.pyannote[394].speaker SPEAKER_13
transcript.pyannote[394].start 3839.65034375
transcript.pyannote[394].end 3841.50659375
transcript.pyannote[395].speaker SPEAKER_13
transcript.pyannote[395].start 3842.41784375
transcript.pyannote[395].end 3845.28659375
transcript.pyannote[396].speaker SPEAKER_13
transcript.pyannote[396].start 3845.75909375
transcript.pyannote[396].end 3847.09221875
transcript.pyannote[397].speaker SPEAKER_13
transcript.pyannote[397].start 3847.48034375
transcript.pyannote[397].end 3847.51409375
transcript.pyannote[398].speaker SPEAKER_15
transcript.pyannote[398].start 3847.51409375
transcript.pyannote[398].end 3847.56471875
transcript.pyannote[399].speaker SPEAKER_13
transcript.pyannote[399].start 3847.56471875
transcript.pyannote[399].end 3847.58159375
transcript.pyannote[400].speaker SPEAKER_13
transcript.pyannote[400].start 3847.75034375
transcript.pyannote[400].end 3848.96534375
transcript.pyannote[401].speaker SPEAKER_15
transcript.pyannote[401].start 3848.96534375
transcript.pyannote[401].end 3852.82971875
transcript.pyannote[402].speaker SPEAKER_15
transcript.pyannote[402].start 3853.28534375
transcript.pyannote[402].end 3855.02346875
transcript.pyannote[403].speaker SPEAKER_13
transcript.pyannote[403].start 3854.56784375
transcript.pyannote[403].end 3854.68596875
transcript.pyannote[404].speaker SPEAKER_13
transcript.pyannote[404].start 3855.02346875
transcript.pyannote[404].end 3859.54596875
transcript.pyannote[405].speaker SPEAKER_13
transcript.pyannote[405].start 3860.49096875
transcript.pyannote[405].end 3861.08159375
transcript.pyannote[406].speaker SPEAKER_14
transcript.pyannote[406].start 3861.35159375
transcript.pyannote[406].end 3861.50346875
transcript.pyannote[407].speaker SPEAKER_13
transcript.pyannote[407].start 3861.70596875
transcript.pyannote[407].end 3862.97159375
transcript.pyannote[408].speaker SPEAKER_15
transcript.pyannote[408].start 3862.97159375
transcript.pyannote[408].end 3863.57909375
transcript.pyannote[409].speaker SPEAKER_13
transcript.pyannote[409].start 3863.57909375
transcript.pyannote[409].end 3863.64659375
transcript.pyannote[410].speaker SPEAKER_13
transcript.pyannote[410].start 3863.76471875
transcript.pyannote[410].end 3863.81534375
transcript.pyannote[411].speaker SPEAKER_15
transcript.pyannote[411].start 3863.81534375
transcript.pyannote[411].end 3864.10221875
transcript.pyannote[412].speaker SPEAKER_13
transcript.pyannote[412].start 3864.40596875
transcript.pyannote[412].end 3864.45659375
transcript.pyannote[413].speaker SPEAKER_15
transcript.pyannote[413].start 3864.45659375
transcript.pyannote[413].end 3868.52346875
transcript.pyannote[414].speaker SPEAKER_15
transcript.pyannote[414].start 3869.19846875
transcript.pyannote[414].end 3872.70846875
transcript.pyannote[415].speaker SPEAKER_15
transcript.pyannote[415].start 3872.89409375
transcript.pyannote[415].end 3878.91846875
transcript.pyannote[416].speaker SPEAKER_13
transcript.pyannote[416].start 3878.00721875
transcript.pyannote[416].end 3879.39096875
transcript.pyannote[417].speaker SPEAKER_13
transcript.pyannote[417].start 3880.08284375
transcript.pyannote[417].end 3883.84596875
transcript.pyannote[418].speaker SPEAKER_13
transcript.pyannote[418].start 3884.28471875
transcript.pyannote[418].end 3885.31409375
transcript.pyannote[419].speaker SPEAKER_13
transcript.pyannote[419].start 3885.85409375
transcript.pyannote[419].end 3886.76534375
transcript.pyannote[420].speaker SPEAKER_13
transcript.pyannote[420].start 3887.18721875
transcript.pyannote[420].end 3889.26284375
transcript.pyannote[421].speaker SPEAKER_13
transcript.pyannote[421].start 3890.46096875
transcript.pyannote[421].end 3894.02159375
transcript.pyannote[422].speaker SPEAKER_15
transcript.pyannote[422].start 3891.43971875
transcript.pyannote[422].end 3892.21596875
transcript.pyannote[423].speaker SPEAKER_15
transcript.pyannote[423].start 3892.41846875
transcript.pyannote[423].end 3892.89096875
transcript.pyannote[424].speaker SPEAKER_13
transcript.pyannote[424].start 3894.44346875
transcript.pyannote[424].end 3897.53159375
transcript.pyannote[425].speaker SPEAKER_13
transcript.pyannote[425].start 3897.73409375
transcript.pyannote[425].end 3898.32471875
transcript.pyannote[426].speaker SPEAKER_13
transcript.pyannote[426].start 3898.71284375
transcript.pyannote[426].end 3900.36659375
transcript.pyannote[427].speaker SPEAKER_13
transcript.pyannote[427].start 3900.95721875
transcript.pyannote[427].end 3906.35721875
transcript.pyannote[428].speaker SPEAKER_15
transcript.pyannote[428].start 3902.44221875
transcript.pyannote[428].end 3903.18471875
transcript.pyannote[429].speaker SPEAKER_13
transcript.pyannote[429].start 3906.91409375
transcript.pyannote[429].end 3907.69034375
transcript.pyannote[430].speaker SPEAKER_13
transcript.pyannote[430].start 3908.17971875
transcript.pyannote[430].end 3909.61409375
transcript.pyannote[431].speaker SPEAKER_13
transcript.pyannote[431].start 3910.20471875
transcript.pyannote[431].end 3911.50409375
transcript.pyannote[432].speaker SPEAKER_13
transcript.pyannote[432].start 3911.75721875
transcript.pyannote[432].end 3913.68096875
transcript.pyannote[433].speaker SPEAKER_13
transcript.pyannote[433].start 3914.87909375
transcript.pyannote[433].end 3915.80721875
transcript.pyannote[434].speaker SPEAKER_13
transcript.pyannote[434].start 3916.36409375
transcript.pyannote[434].end 3918.49034375
transcript.pyannote[435].speaker SPEAKER_13
transcript.pyannote[435].start 3919.06409375
transcript.pyannote[435].end 3919.99221875
transcript.pyannote[436].speaker SPEAKER_13
transcript.pyannote[436].start 3920.53221875
transcript.pyannote[436].end 3921.66284375
transcript.pyannote[437].speaker SPEAKER_13
transcript.pyannote[437].start 3923.11409375
transcript.pyannote[437].end 3923.97471875
transcript.pyannote[438].speaker SPEAKER_15
transcript.pyannote[438].start 3923.97471875
transcript.pyannote[438].end 3923.99159375
transcript.pyannote[439].speaker SPEAKER_13
transcript.pyannote[439].start 3924.63284375
transcript.pyannote[439].end 3925.03784375
transcript.pyannote[440].speaker SPEAKER_15
transcript.pyannote[440].start 3924.91971875
transcript.pyannote[440].end 3930.03284375
transcript.pyannote[441].speaker SPEAKER_13
transcript.pyannote[441].start 3930.03284375
transcript.pyannote[441].end 3933.35721875
transcript.pyannote[442].speaker SPEAKER_13
transcript.pyannote[442].start 3934.60596875
transcript.pyannote[442].end 3936.12471875
transcript.pyannote[443].speaker SPEAKER_13
transcript.pyannote[443].start 3936.98534375
transcript.pyannote[443].end 3937.91346875
transcript.pyannote[444].speaker SPEAKER_13
transcript.pyannote[444].start 3938.35221875
transcript.pyannote[444].end 3939.70221875
transcript.pyannote[445].speaker SPEAKER_13
transcript.pyannote[445].start 3940.03971875
transcript.pyannote[445].end 3943.92096875
transcript.pyannote[446].speaker SPEAKER_13
transcript.pyannote[446].start 3944.37659375
transcript.pyannote[446].end 3945.67596875
transcript.pyannote[447].speaker SPEAKER_13
transcript.pyannote[447].start 3946.38471875
transcript.pyannote[447].end 3946.72221875
transcript.pyannote[448].speaker SPEAKER_13
transcript.pyannote[448].start 3947.19471875
transcript.pyannote[448].end 3950.56971875
transcript.pyannote[449].speaker SPEAKER_13
transcript.pyannote[449].start 3951.09284375
transcript.pyannote[449].end 3953.97846875
transcript.pyannote[450].speaker SPEAKER_13
transcript.pyannote[450].start 3954.67034375
transcript.pyannote[450].end 3955.86846875
transcript.pyannote[451].speaker SPEAKER_13
transcript.pyannote[451].start 3956.45909375
transcript.pyannote[451].end 3957.58971875
transcript.pyannote[452].speaker SPEAKER_13
transcript.pyannote[452].start 3958.09596875
transcript.pyannote[452].end 3959.14221875
transcript.pyannote[453].speaker SPEAKER_13
transcript.pyannote[453].start 3959.37846875
transcript.pyannote[453].end 3963.95159375
transcript.pyannote[454].speaker SPEAKER_13
transcript.pyannote[454].start 3964.22159375
transcript.pyannote[454].end 3968.20409375
transcript.pyannote[455].speaker SPEAKER_13
transcript.pyannote[455].start 3968.72721875
transcript.pyannote[455].end 3968.87909375
transcript.pyannote[456].speaker SPEAKER_13
transcript.pyannote[456].start 3969.43596875
transcript.pyannote[456].end 3972.16971875
transcript.pyannote[457].speaker SPEAKER_13
transcript.pyannote[457].start 3972.70971875
transcript.pyannote[457].end 3974.43096875
transcript.pyannote[458].speaker SPEAKER_13
transcript.pyannote[458].start 3975.05534375
transcript.pyannote[458].end 3979.56096875
transcript.pyannote[459].speaker SPEAKER_13
transcript.pyannote[459].start 3979.72971875
transcript.pyannote[459].end 3983.84721875
transcript.pyannote[460].speaker SPEAKER_15
transcript.pyannote[460].start 3979.83096875
transcript.pyannote[460].end 3980.16846875
transcript.pyannote[461].speaker SPEAKER_13
transcript.pyannote[461].start 3984.01596875
transcript.pyannote[461].end 3985.34909375
transcript.pyannote[462].speaker SPEAKER_15
transcript.pyannote[462].start 3984.23534375
transcript.pyannote[462].end 3984.57284375
transcript.pyannote[463].speaker SPEAKER_15
transcript.pyannote[463].start 3985.34909375
transcript.pyannote[463].end 3997.27971875
transcript.pyannote[464].speaker SPEAKER_13
transcript.pyannote[464].start 3985.36596875
transcript.pyannote[464].end 3985.83846875
transcript.pyannote[465].speaker SPEAKER_13
transcript.pyannote[465].start 3997.36409375
transcript.pyannote[465].end 4004.28284375
transcript.pyannote[466].speaker SPEAKER_15
transcript.pyannote[466].start 3997.44846875
transcript.pyannote[466].end 3998.51159375
transcript.pyannote[467].speaker SPEAKER_13
transcript.pyannote[467].start 4004.94096875
transcript.pyannote[467].end 4009.49721875
transcript.pyannote[468].speaker SPEAKER_13
transcript.pyannote[468].start 4009.86846875
transcript.pyannote[468].end 4014.22221875
transcript.pyannote[469].speaker SPEAKER_13
transcript.pyannote[469].start 4014.45846875
transcript.pyannote[469].end 4015.80846875
transcript.pyannote[470].speaker SPEAKER_13
transcript.pyannote[470].start 4016.14596875
transcript.pyannote[470].end 4018.13721875
transcript.pyannote[471].speaker SPEAKER_13
transcript.pyannote[471].start 4019.03159375
transcript.pyannote[471].end 4023.41909375
transcript.pyannote[472].speaker SPEAKER_13
transcript.pyannote[472].start 4023.94221875
transcript.pyannote[472].end 4026.82784375
transcript.pyannote[473].speaker SPEAKER_13
transcript.pyannote[473].start 4028.26221875
transcript.pyannote[473].end 4032.75096875
transcript.pyannote[474].speaker SPEAKER_13
transcript.pyannote[474].start 4033.27409375
transcript.pyannote[474].end 4037.08784375
transcript.pyannote[475].speaker SPEAKER_13
transcript.pyannote[475].start 4037.99909375
transcript.pyannote[475].end 4040.00721875
transcript.pyannote[476].speaker SPEAKER_13
transcript.pyannote[476].start 4040.58096875
transcript.pyannote[476].end 4042.04909375
transcript.pyannote[477].speaker SPEAKER_13
transcript.pyannote[477].start 4042.43721875
transcript.pyannote[477].end 4044.46221875
transcript.pyannote[478].speaker SPEAKER_15
transcript.pyannote[478].start 4044.74909375
transcript.pyannote[478].end 4050.72284375
transcript.pyannote[479].speaker SPEAKER_13
transcript.pyannote[479].start 4048.95096875
transcript.pyannote[479].end 4058.45159375
transcript.pyannote[480].speaker SPEAKER_13
transcript.pyannote[480].start 4059.61596875
transcript.pyannote[480].end 4061.48909375
transcript.pyannote[481].speaker SPEAKER_13
transcript.pyannote[481].start 4062.23159375
transcript.pyannote[481].end 4063.10909375
transcript.pyannote[482].speaker SPEAKER_13
transcript.pyannote[482].start 4063.71659375
transcript.pyannote[482].end 4066.78784375
transcript.pyannote[483].speaker SPEAKER_13
transcript.pyannote[483].start 4067.41221875
transcript.pyannote[483].end 4068.89721875
transcript.pyannote[484].speaker SPEAKER_13
transcript.pyannote[484].start 4069.70721875
transcript.pyannote[484].end 4072.13721875
transcript.pyannote[485].speaker SPEAKER_13
transcript.pyannote[485].start 4072.66034375
transcript.pyannote[485].end 4073.57159375
transcript.pyannote[486].speaker SPEAKER_13
transcript.pyannote[486].start 4073.82471875
transcript.pyannote[486].end 4074.98909375
transcript.pyannote[487].speaker SPEAKER_13
transcript.pyannote[487].start 4076.00159375
transcript.pyannote[487].end 4078.98846875
transcript.pyannote[488].speaker SPEAKER_13
transcript.pyannote[488].start 4079.52846875
transcript.pyannote[488].end 4082.02596875
transcript.pyannote[489].speaker SPEAKER_13
transcript.pyannote[489].start 4082.32971875
transcript.pyannote[489].end 4083.47721875
transcript.pyannote[490].speaker SPEAKER_13
transcript.pyannote[490].start 4084.47284375
transcript.pyannote[490].end 4087.84784375
transcript.pyannote[491].speaker SPEAKER_13
transcript.pyannote[491].start 4088.01659375
transcript.pyannote[491].end 4090.36221875
transcript.pyannote[492].speaker SPEAKER_13
transcript.pyannote[492].start 4091.47596875
transcript.pyannote[492].end 4096.53846875
transcript.pyannote[493].speaker SPEAKER_13
transcript.pyannote[493].start 4096.89284375
transcript.pyannote[493].end 4097.39909375
transcript.pyannote[494].speaker SPEAKER_13
transcript.pyannote[494].start 4097.83784375
transcript.pyannote[494].end 4105.04346875
transcript.pyannote[495].speaker SPEAKER_13
transcript.pyannote[495].start 4105.48221875
transcript.pyannote[495].end 4106.29221875
transcript.pyannote[496].speaker SPEAKER_13
transcript.pyannote[496].start 4106.49471875
transcript.pyannote[496].end 4109.24534375
transcript.pyannote[497].speaker SPEAKER_13
transcript.pyannote[497].start 4109.83596875
transcript.pyannote[497].end 4114.08846875
transcript.pyannote[498].speaker SPEAKER_13
transcript.pyannote[498].start 4114.54409375
transcript.pyannote[498].end 4116.53534375
transcript.pyannote[499].speaker SPEAKER_21
transcript.pyannote[499].start 4116.43409375
transcript.pyannote[499].end 4117.14284375
transcript.pyannote[500].speaker SPEAKER_21
transcript.pyannote[500].start 4121.05784375
transcript.pyannote[500].end 4123.79159375
transcript.pyannote[501].speaker SPEAKER_27
transcript.pyannote[501].start 4131.48659375
transcript.pyannote[501].end 4133.98409375
transcript.pyannote[502].speaker SPEAKER_27
transcript.pyannote[502].start 4134.72659375
transcript.pyannote[502].end 4135.75596875
transcript.pyannote[503].speaker SPEAKER_27
transcript.pyannote[503].start 4139.95784375
transcript.pyannote[503].end 4165.27034375
transcript.pyannote[504].speaker SPEAKER_20
transcript.pyannote[504].start 4165.91159375
transcript.pyannote[504].end 4174.95659375
transcript.pyannote[505].speaker SPEAKER_20
transcript.pyannote[505].start 4175.31096875
transcript.pyannote[505].end 4185.75659375
transcript.pyannote[506].speaker SPEAKER_27
transcript.pyannote[506].start 4183.30971875
transcript.pyannote[506].end 4190.98784375
transcript.pyannote[507].speaker SPEAKER_15
transcript.pyannote[507].start 4185.75659375
transcript.pyannote[507].end 4185.77346875
transcript.pyannote[508].speaker SPEAKER_15
transcript.pyannote[508].start 4192.15221875
transcript.pyannote[508].end 4196.05034375
transcript.pyannote[509].speaker SPEAKER_27
transcript.pyannote[509].start 4196.59034375
transcript.pyannote[509].end 4202.04096875
transcript.pyannote[510].speaker SPEAKER_27
transcript.pyannote[510].start 4202.59784375
transcript.pyannote[510].end 4237.25909375
transcript.pyannote[511].speaker SPEAKER_27
transcript.pyannote[511].start 4237.41096875
transcript.pyannote[511].end 4237.95096875
transcript.pyannote[512].speaker SPEAKER_15
transcript.pyannote[512].start 4238.50784375
transcript.pyannote[512].end 4248.80159375
transcript.pyannote[513].speaker SPEAKER_27
transcript.pyannote[513].start 4248.71721875
transcript.pyannote[513].end 4267.73534375
transcript.pyannote[514].speaker SPEAKER_15
transcript.pyannote[514].start 4250.72534375
transcript.pyannote[514].end 4251.83909375
transcript.pyannote[515].speaker SPEAKER_27
transcript.pyannote[515].start 4268.02221875
transcript.pyannote[515].end 4270.19909375
transcript.pyannote[516].speaker SPEAKER_15
transcript.pyannote[516].start 4270.53659375
transcript.pyannote[516].end 4270.87409375
transcript.pyannote[517].speaker SPEAKER_15
transcript.pyannote[517].start 4271.22846875
transcript.pyannote[517].end 4271.68409375
transcript.pyannote[518].speaker SPEAKER_15
transcript.pyannote[518].start 4272.12284375
transcript.pyannote[518].end 4273.38846875
transcript.pyannote[519].speaker SPEAKER_27
transcript.pyannote[519].start 4272.93284375
transcript.pyannote[519].end 4280.54346875
transcript.pyannote[520].speaker SPEAKER_15
transcript.pyannote[520].start 4273.57409375
transcript.pyannote[520].end 4274.55284375
transcript.pyannote[521].speaker SPEAKER_27
transcript.pyannote[521].start 4281.13409375
transcript.pyannote[521].end 4283.32784375
transcript.pyannote[522].speaker SPEAKER_27
transcript.pyannote[522].start 4283.74971875
transcript.pyannote[522].end 4286.75346875
transcript.pyannote[523].speaker SPEAKER_15
transcript.pyannote[523].start 4286.98971875
transcript.pyannote[523].end 4288.12034375
transcript.pyannote[524].speaker SPEAKER_15
transcript.pyannote[524].start 4289.23409375
transcript.pyannote[524].end 4294.63409375
transcript.pyannote[525].speaker SPEAKER_27
transcript.pyannote[525].start 4294.29659375
transcript.pyannote[525].end 4296.40596875
transcript.pyannote[526].speaker SPEAKER_15
transcript.pyannote[526].start 4295.88284375
transcript.pyannote[526].end 4299.07221875
transcript.pyannote[527].speaker SPEAKER_27
transcript.pyannote[527].start 4298.43096875
transcript.pyannote[527].end 4308.04971875
transcript.pyannote[528].speaker SPEAKER_15
transcript.pyannote[528].start 4300.16909375
transcript.pyannote[528].end 4301.19846875
transcript.pyannote[529].speaker SPEAKER_27
transcript.pyannote[529].start 4308.48846875
transcript.pyannote[529].end 4314.83346875
transcript.pyannote[530].speaker SPEAKER_27
transcript.pyannote[530].start 4315.45784375
transcript.pyannote[530].end 4322.39346875
transcript.pyannote[531].speaker SPEAKER_27
transcript.pyannote[531].start 4322.66346875
transcript.pyannote[531].end 4332.21471875
transcript.pyannote[532].speaker SPEAKER_27
transcript.pyannote[532].start 4332.82221875
transcript.pyannote[532].end 4334.05409375
transcript.pyannote[533].speaker SPEAKER_22
transcript.pyannote[533].start 4334.42534375
transcript.pyannote[533].end 4334.44221875
transcript.pyannote[534].speaker SPEAKER_15
transcript.pyannote[534].start 4334.44221875
transcript.pyannote[534].end 4334.81346875
transcript.pyannote[535].speaker SPEAKER_27
transcript.pyannote[535].start 4334.81346875
transcript.pyannote[535].end 4336.51784375
transcript.pyannote[536].speaker SPEAKER_15
transcript.pyannote[536].start 4337.24346875
transcript.pyannote[536].end 4339.45409375
transcript.pyannote[537].speaker SPEAKER_15
transcript.pyannote[537].start 4339.60596875
transcript.pyannote[537].end 4342.18784375
transcript.pyannote[538].speaker SPEAKER_27
transcript.pyannote[538].start 4342.18784375
transcript.pyannote[538].end 4353.62909375
transcript.pyannote[539].speaker SPEAKER_27
transcript.pyannote[539].start 4353.98346875
transcript.pyannote[539].end 4355.28284375
transcript.pyannote[540].speaker SPEAKER_20
transcript.pyannote[540].start 4355.99159375
transcript.pyannote[540].end 4357.81409375
transcript.pyannote[541].speaker SPEAKER_20
transcript.pyannote[541].start 4358.43846875
transcript.pyannote[541].end 4364.95221875
transcript.pyannote[542].speaker SPEAKER_27
transcript.pyannote[542].start 4363.46721875
transcript.pyannote[542].end 4370.77409375
transcript.pyannote[543].speaker SPEAKER_20
transcript.pyannote[543].start 4365.22221875
transcript.pyannote[543].end 4365.42471875
transcript.pyannote[544].speaker SPEAKER_20
transcript.pyannote[544].start 4365.45846875
transcript.pyannote[544].end 4365.89721875
transcript.pyannote[545].speaker SPEAKER_20
transcript.pyannote[545].start 4371.71909375
transcript.pyannote[545].end 4373.49096875
transcript.pyannote[546].speaker SPEAKER_27
transcript.pyannote[546].start 4374.38534375
transcript.pyannote[546].end 4392.42471875
transcript.pyannote[547].speaker SPEAKER_27
transcript.pyannote[547].start 4392.77909375
transcript.pyannote[547].end 4393.85909375
transcript.pyannote[548].speaker SPEAKER_27
transcript.pyannote[548].start 4394.28096875
transcript.pyannote[548].end 4398.97221875
transcript.pyannote[549].speaker SPEAKER_15
transcript.pyannote[549].start 4399.41096875
transcript.pyannote[549].end 4406.59971875
transcript.pyannote[550].speaker SPEAKER_27
transcript.pyannote[550].start 4405.57034375
transcript.pyannote[550].end 4410.29534375
transcript.pyannote[551].speaker SPEAKER_27
transcript.pyannote[551].start 4411.02096875
transcript.pyannote[551].end 4446.57659375
transcript.pyannote[552].speaker SPEAKER_27
transcript.pyannote[552].start 4448.01096875
transcript.pyannote[552].end 4461.24096875
transcript.pyannote[553].speaker SPEAKER_27
transcript.pyannote[553].start 4462.42221875
transcript.pyannote[553].end 4464.26159375
transcript.pyannote[554].speaker SPEAKER_27
transcript.pyannote[554].start 4465.05471875
transcript.pyannote[554].end 4473.91409375
transcript.pyannote[555].speaker SPEAKER_27
transcript.pyannote[555].start 4474.36971875
transcript.pyannote[555].end 4490.99159375
transcript.pyannote[556].speaker SPEAKER_27
transcript.pyannote[556].start 4491.64971875
transcript.pyannote[556].end 4507.09034375
transcript.pyannote[557].speaker SPEAKER_27
transcript.pyannote[557].start 4507.66409375
transcript.pyannote[557].end 4508.64284375
transcript.pyannote[558].speaker SPEAKER_15
transcript.pyannote[558].start 4509.23346875
transcript.pyannote[558].end 4516.11846875
transcript.pyannote[559].speaker SPEAKER_27
transcript.pyannote[559].start 4514.53221875
transcript.pyannote[559].end 4517.40096875
transcript.pyannote[560].speaker SPEAKER_15
transcript.pyannote[560].start 4517.40096875
transcript.pyannote[560].end 4518.78471875
transcript.pyannote[561].speaker SPEAKER_27
transcript.pyannote[561].start 4518.27846875
transcript.pyannote[561].end 4522.10909375
transcript.pyannote[562].speaker SPEAKER_15
transcript.pyannote[562].start 4519.49346875
transcript.pyannote[562].end 4520.05034375
transcript.pyannote[563].speaker SPEAKER_15
transcript.pyannote[563].start 4522.49721875
transcript.pyannote[563].end 4524.01596875
transcript.pyannote[564].speaker SPEAKER_27
transcript.pyannote[564].start 4523.44221875
transcript.pyannote[564].end 4527.49221875
transcript.pyannote[565].speaker SPEAKER_27
transcript.pyannote[565].start 4528.30221875
transcript.pyannote[565].end 4541.88659375
transcript.pyannote[566].speaker SPEAKER_27
transcript.pyannote[566].start 4542.25784375
transcript.pyannote[566].end 4543.23659375
transcript.pyannote[567].speaker SPEAKER_15
transcript.pyannote[567].start 4543.23659375
transcript.pyannote[567].end 4546.89846875
transcript.pyannote[568].speaker SPEAKER_27
transcript.pyannote[568].start 4545.51471875
transcript.pyannote[568].end 4555.21784375
transcript.pyannote[569].speaker SPEAKER_15
transcript.pyannote[569].start 4556.53409375
transcript.pyannote[569].end 4557.66471875
transcript.pyannote[570].speaker SPEAKER_15
transcript.pyannote[570].start 4557.76596875
transcript.pyannote[570].end 4558.10346875
transcript.pyannote[571].speaker SPEAKER_15
transcript.pyannote[571].start 4558.27221875
transcript.pyannote[571].end 4559.47034375
transcript.pyannote[572].speaker SPEAKER_27
transcript.pyannote[572].start 4559.68971875
transcript.pyannote[572].end 4568.38034375
transcript.pyannote[573].speaker SPEAKER_15
transcript.pyannote[573].start 4570.62471875
transcript.pyannote[573].end 4574.59034375
transcript.pyannote[574].speaker SPEAKER_27
transcript.pyannote[574].start 4573.10534375
transcript.pyannote[574].end 4576.59846875
transcript.pyannote[575].speaker SPEAKER_15
transcript.pyannote[575].start 4578.13409375
transcript.pyannote[575].end 4578.53909375
transcript.pyannote[576].speaker SPEAKER_27
transcript.pyannote[576].start 4578.53909375
transcript.pyannote[576].end 4578.55596875
transcript.pyannote[577].speaker SPEAKER_21
transcript.pyannote[577].start 4581.76221875
transcript.pyannote[577].end 4582.20096875
transcript.pyannote[578].speaker SPEAKER_21
transcript.pyannote[578].start 4584.69846875
transcript.pyannote[578].end 4586.65596875
transcript.pyannote[579].speaker SPEAKER_21
transcript.pyannote[579].start 4587.28034375
transcript.pyannote[579].end 4587.85409375
transcript.pyannote[580].speaker SPEAKER_21
transcript.pyannote[580].start 4588.69784375
transcript.pyannote[580].end 4592.91659375
transcript.pyannote[581].speaker SPEAKER_05
transcript.pyannote[581].start 4600.17284375
transcript.pyannote[581].end 4608.91409375
transcript.pyannote[582].speaker SPEAKER_21
transcript.pyannote[582].start 4609.15034375
transcript.pyannote[582].end 4610.53409375
transcript.pyannote[583].speaker SPEAKER_05
transcript.pyannote[583].start 4609.18409375
transcript.pyannote[583].end 4610.21346875
transcript.pyannote[584].speaker SPEAKER_05
transcript.pyannote[584].start 4610.80409375
transcript.pyannote[584].end 4615.42784375
transcript.pyannote[585].speaker SPEAKER_21
transcript.pyannote[585].start 4612.40721875
transcript.pyannote[585].end 4613.28471875
transcript.pyannote[586].speaker SPEAKER_05
transcript.pyannote[586].start 4615.78221875
transcript.pyannote[586].end 4615.96784375
transcript.pyannote[587].speaker SPEAKER_21
transcript.pyannote[587].start 4615.84971875
transcript.pyannote[587].end 4616.74409375
transcript.pyannote[588].speaker SPEAKER_05
transcript.pyannote[588].start 4616.30534375
transcript.pyannote[588].end 4618.76909375
transcript.pyannote[589].speaker SPEAKER_21
transcript.pyannote[589].start 4618.66784375
transcript.pyannote[589].end 4620.03471875
transcript.pyannote[590].speaker SPEAKER_21
transcript.pyannote[590].start 4621.55346875
transcript.pyannote[590].end 4624.15221875
transcript.pyannote[591].speaker SPEAKER_05
transcript.pyannote[591].start 4623.84846875
transcript.pyannote[591].end 4647.06846875
transcript.pyannote[592].speaker SPEAKER_05
transcript.pyannote[592].start 4647.45659375
transcript.pyannote[592].end 4694.80784375
transcript.pyannote[593].speaker SPEAKER_05
transcript.pyannote[593].start 4695.06096875
transcript.pyannote[593].end 4705.00034375
transcript.pyannote[594].speaker SPEAKER_05
transcript.pyannote[594].start 4705.43909375
transcript.pyannote[594].end 4706.95784375
transcript.pyannote[595].speaker SPEAKER_05
transcript.pyannote[595].start 4708.45971875
transcript.pyannote[595].end 4718.36534375
transcript.pyannote[596].speaker SPEAKER_05
transcript.pyannote[596].start 4719.10784375
transcript.pyannote[596].end 4733.01284375
transcript.pyannote[597].speaker SPEAKER_05
transcript.pyannote[597].start 4737.29909375
transcript.pyannote[597].end 4738.93596875
transcript.pyannote[598].speaker SPEAKER_05
transcript.pyannote[598].start 4739.61096875
transcript.pyannote[598].end 4743.27284375
transcript.pyannote[599].speaker SPEAKER_05
transcript.pyannote[599].start 4743.35721875
transcript.pyannote[599].end 4744.67346875
transcript.pyannote[600].speaker SPEAKER_05
transcript.pyannote[600].start 4744.87596875
transcript.pyannote[600].end 4750.05659375
transcript.pyannote[601].speaker SPEAKER_14
transcript.pyannote[601].start 4753.56659375
transcript.pyannote[601].end 4763.57346875
transcript.pyannote[602].speaker SPEAKER_14
transcript.pyannote[602].start 4764.18096875
transcript.pyannote[602].end 4765.32846875
transcript.pyannote[603].speaker SPEAKER_05
transcript.pyannote[603].start 4765.32846875
transcript.pyannote[603].end 4770.01971875
transcript.pyannote[604].speaker SPEAKER_05
transcript.pyannote[604].start 4770.08721875
transcript.pyannote[604].end 4770.10409375
transcript.pyannote[605].speaker SPEAKER_20
transcript.pyannote[605].start 4770.10409375
transcript.pyannote[605].end 4774.64346875
transcript.pyannote[606].speaker SPEAKER_20
transcript.pyannote[606].start 4774.94721875
transcript.pyannote[606].end 4776.19596875
transcript.pyannote[607].speaker SPEAKER_20
transcript.pyannote[607].start 4777.78221875
transcript.pyannote[607].end 4778.96346875
transcript.pyannote[608].speaker SPEAKER_05
transcript.pyannote[608].start 4778.96346875
transcript.pyannote[608].end 4779.31784375
transcript.pyannote[609].speaker SPEAKER_14
transcript.pyannote[609].start 4780.88721875
transcript.pyannote[609].end 4787.43471875
transcript.pyannote[610].speaker SPEAKER_05
transcript.pyannote[610].start 4783.26659375
transcript.pyannote[610].end 4785.89909375
transcript.pyannote[611].speaker SPEAKER_05
transcript.pyannote[611].start 4787.40096875
transcript.pyannote[611].end 4788.93659375
transcript.pyannote[612].speaker SPEAKER_05
transcript.pyannote[612].start 4789.27409375
transcript.pyannote[612].end 4790.18534375
transcript.pyannote[613].speaker SPEAKER_05
transcript.pyannote[613].start 4790.40471875
transcript.pyannote[613].end 4791.48471875
transcript.pyannote[614].speaker SPEAKER_05
transcript.pyannote[614].start 4792.59846875
transcript.pyannote[614].end 4794.85971875
transcript.pyannote[615].speaker SPEAKER_10
transcript.pyannote[615].start 4799.71971875
transcript.pyannote[615].end 4802.89221875
transcript.pyannote[616].speaker SPEAKER_15
transcript.pyannote[616].start 4802.89221875
transcript.pyannote[616].end 4813.38846875
transcript.pyannote[617].speaker SPEAKER_10
transcript.pyannote[617].start 4805.20409375
transcript.pyannote[617].end 4807.97159375
transcript.pyannote[618].speaker SPEAKER_20
transcript.pyannote[618].start 4807.97159375
transcript.pyannote[618].end 4808.03909375
transcript.pyannote[619].speaker SPEAKER_00
transcript.pyannote[619].start 4808.03909375
transcript.pyannote[619].end 4808.07284375
transcript.pyannote[620].speaker SPEAKER_15
transcript.pyannote[620].start 4813.91159375
transcript.pyannote[620].end 4815.97034375
transcript.pyannote[621].speaker SPEAKER_05
transcript.pyannote[621].start 4815.97034375
transcript.pyannote[621].end 4816.00409375
transcript.pyannote[622].speaker SPEAKER_10
transcript.pyannote[622].start 4816.00409375
transcript.pyannote[622].end 4816.08846875
transcript.pyannote[623].speaker SPEAKER_15
transcript.pyannote[623].start 4816.49346875
transcript.pyannote[623].end 4819.34534375
transcript.pyannote[624].speaker SPEAKER_05
transcript.pyannote[624].start 4816.67909375
transcript.pyannote[624].end 4817.08409375
transcript.pyannote[625].speaker SPEAKER_05
transcript.pyannote[625].start 4819.58159375
transcript.pyannote[625].end 4821.65721875
transcript.pyannote[626].speaker SPEAKER_05
transcript.pyannote[626].start 4822.26471875
transcript.pyannote[626].end 4822.41659375
transcript.pyannote[627].speaker SPEAKER_20
transcript.pyannote[627].start 4822.41659375
transcript.pyannote[627].end 4822.70346875
transcript.pyannote[628].speaker SPEAKER_20
transcript.pyannote[628].start 4823.00721875
transcript.pyannote[628].end 4823.76659375
transcript.pyannote[629].speaker SPEAKER_20
transcript.pyannote[629].start 4824.66096875
transcript.pyannote[629].end 4829.53784375
transcript.pyannote[630].speaker SPEAKER_05
transcript.pyannote[630].start 4825.31909375
transcript.pyannote[630].end 4826.16284375
transcript.pyannote[631].speaker SPEAKER_05
transcript.pyannote[631].start 4827.81659375
transcript.pyannote[631].end 4829.03159375
transcript.pyannote[632].speaker SPEAKER_05
transcript.pyannote[632].start 4829.53784375
transcript.pyannote[632].end 4831.41096875
transcript.pyannote[633].speaker SPEAKER_10
transcript.pyannote[633].start 4833.79034375
transcript.pyannote[633].end 4834.02659375
transcript.pyannote[634].speaker SPEAKER_05
transcript.pyannote[634].start 4834.02659375
transcript.pyannote[634].end 4835.27534375
transcript.pyannote[635].speaker SPEAKER_10
transcript.pyannote[635].start 4834.22909375
transcript.pyannote[635].end 4834.71846875
transcript.pyannote[636].speaker SPEAKER_10
transcript.pyannote[636].start 4835.98409375
transcript.pyannote[636].end 4836.00096875
transcript.pyannote[637].speaker SPEAKER_05
transcript.pyannote[637].start 4836.00096875
transcript.pyannote[637].end 4840.52346875
transcript.pyannote[638].speaker SPEAKER_10
transcript.pyannote[638].start 4838.81909375
transcript.pyannote[638].end 4841.35034375
transcript.pyannote[639].speaker SPEAKER_05
transcript.pyannote[639].start 4841.35034375
transcript.pyannote[639].end 4841.72159375
transcript.pyannote[640].speaker SPEAKER_05
transcript.pyannote[640].start 4842.24471875
transcript.pyannote[640].end 4848.60659375
transcript.pyannote[641].speaker SPEAKER_09
transcript.pyannote[641].start 4850.54721875
transcript.pyannote[641].end 4855.28909375
transcript.pyannote[642].speaker SPEAKER_09
transcript.pyannote[642].start 4855.50846875
transcript.pyannote[642].end 4859.18721875
transcript.pyannote[643].speaker SPEAKER_09
transcript.pyannote[643].start 4859.28846875
transcript.pyannote[643].end 4860.80721875
transcript.pyannote[644].speaker SPEAKER_05
transcript.pyannote[644].start 4861.39784375
transcript.pyannote[644].end 4864.84034375
transcript.pyannote[645].speaker SPEAKER_05
transcript.pyannote[645].start 4865.11034375
transcript.pyannote[645].end 4867.74284375
transcript.pyannote[646].speaker SPEAKER_05
transcript.pyannote[646].start 4868.21534375
transcript.pyannote[646].end 4871.26971875
transcript.pyannote[647].speaker SPEAKER_05
transcript.pyannote[647].start 4871.70846875
transcript.pyannote[647].end 4873.80096875
transcript.pyannote[648].speaker SPEAKER_17
transcript.pyannote[648].start 4873.95284375
transcript.pyannote[648].end 4878.77909375
transcript.pyannote[649].speaker SPEAKER_17
transcript.pyannote[649].start 4879.75784375
transcript.pyannote[649].end 4881.10784375
transcript.pyannote[650].speaker SPEAKER_17
transcript.pyannote[650].start 4881.22596875
transcript.pyannote[650].end 4882.06971875
transcript.pyannote[651].speaker SPEAKER_17
transcript.pyannote[651].start 4882.32284375
transcript.pyannote[651].end 4884.01034375
transcript.pyannote[652].speaker SPEAKER_17
transcript.pyannote[652].start 4885.30971875
transcript.pyannote[652].end 4885.68096875
transcript.pyannote[653].speaker SPEAKER_17
transcript.pyannote[653].start 4886.65971875
transcript.pyannote[653].end 4886.69346875
transcript.pyannote[654].speaker SPEAKER_05
transcript.pyannote[654].start 4886.69346875
transcript.pyannote[654].end 4887.70596875
transcript.pyannote[655].speaker SPEAKER_17
transcript.pyannote[655].start 4888.12784375
transcript.pyannote[655].end 4891.18221875
transcript.pyannote[656].speaker SPEAKER_05
transcript.pyannote[656].start 4891.73909375
transcript.pyannote[656].end 4891.75596875
transcript.pyannote[657].speaker SPEAKER_17
transcript.pyannote[657].start 4891.75596875
transcript.pyannote[657].end 4898.62409375
transcript.pyannote[658].speaker SPEAKER_05
transcript.pyannote[658].start 4898.62409375
transcript.pyannote[658].end 4898.67471875
transcript.pyannote[659].speaker SPEAKER_05
transcript.pyannote[659].start 4898.79284375
transcript.pyannote[659].end 4931.37846875
transcript.pyannote[660].speaker SPEAKER_05
transcript.pyannote[660].start 4932.12096875
transcript.pyannote[660].end 4937.08221875
transcript.pyannote[661].speaker SPEAKER_14
transcript.pyannote[661].start 4938.28034375
transcript.pyannote[661].end 4938.73596875
transcript.pyannote[662].speaker SPEAKER_14
transcript.pyannote[662].start 4938.97221875
transcript.pyannote[662].end 4941.14909375
transcript.pyannote[663].speaker SPEAKER_14
transcript.pyannote[663].start 4942.22909375
transcript.pyannote[663].end 4943.35971875
transcript.pyannote[664].speaker SPEAKER_20
transcript.pyannote[664].start 4944.03471875
transcript.pyannote[664].end 4945.48596875
transcript.pyannote[665].speaker SPEAKER_20
transcript.pyannote[665].start 4945.67159375
transcript.pyannote[665].end 4947.42659375
transcript.pyannote[666].speaker SPEAKER_20
transcript.pyannote[666].start 4948.37159375
transcript.pyannote[666].end 4950.02534375
transcript.pyannote[667].speaker SPEAKER_05
transcript.pyannote[667].start 4950.02534375
transcript.pyannote[667].end 4953.60284375
transcript.pyannote[668].speaker SPEAKER_12
transcript.pyannote[668].start 4953.87284375
transcript.pyannote[668].end 4954.09221875
transcript.pyannote[669].speaker SPEAKER_05
transcript.pyannote[669].start 4954.85159375
transcript.pyannote[669].end 4958.85096875
transcript.pyannote[670].speaker SPEAKER_05
transcript.pyannote[670].start 4959.66096875
transcript.pyannote[670].end 4968.09846875
transcript.pyannote[671].speaker SPEAKER_05
transcript.pyannote[671].start 4970.08971875
transcript.pyannote[671].end 4971.92909375
transcript.pyannote[672].speaker SPEAKER_14
transcript.pyannote[672].start 4971.92909375
transcript.pyannote[672].end 4973.51534375
transcript.pyannote[673].speaker SPEAKER_05
transcript.pyannote[673].start 4972.97534375
transcript.pyannote[673].end 4977.76784375
transcript.pyannote[674].speaker SPEAKER_14
transcript.pyannote[674].start 4974.25784375
transcript.pyannote[674].end 4976.08034375
transcript.pyannote[675].speaker SPEAKER_14
transcript.pyannote[675].start 4976.87346875
transcript.pyannote[675].end 4981.21034375
transcript.pyannote[676].speaker SPEAKER_05
transcript.pyannote[676].start 4979.03346875
transcript.pyannote[676].end 4985.32784375
transcript.pyannote[677].speaker SPEAKER_20
transcript.pyannote[677].start 4984.53471875
transcript.pyannote[677].end 4987.21784375
transcript.pyannote[678].speaker SPEAKER_05
transcript.pyannote[678].start 4986.64409375
transcript.pyannote[678].end 5006.42159375
transcript.pyannote[679].speaker SPEAKER_05
transcript.pyannote[679].start 5007.38346875
transcript.pyannote[679].end 5013.07034375
transcript.pyannote[680].speaker SPEAKER_05
transcript.pyannote[680].start 5013.62721875
transcript.pyannote[680].end 5015.48346875
transcript.pyannote[681].speaker SPEAKER_05
transcript.pyannote[681].start 5016.04034375
transcript.pyannote[681].end 5036.35784375
transcript.pyannote[682].speaker SPEAKER_05
transcript.pyannote[682].start 5036.62784375
transcript.pyannote[682].end 5053.40159375
transcript.pyannote[683].speaker SPEAKER_05
transcript.pyannote[683].start 5053.78971875
transcript.pyannote[683].end 5077.14471875
transcript.pyannote[684].speaker SPEAKER_05
transcript.pyannote[684].start 5077.34721875
transcript.pyannote[684].end 5078.54534375
transcript.pyannote[685].speaker SPEAKER_05
transcript.pyannote[685].start 5078.96721875
transcript.pyannote[685].end 5083.47284375
transcript.pyannote[686].speaker SPEAKER_05
transcript.pyannote[686].start 5083.67534375
transcript.pyannote[686].end 5092.60221875
transcript.pyannote[687].speaker SPEAKER_05
transcript.pyannote[687].start 5093.88471875
transcript.pyannote[687].end 5113.25721875
transcript.pyannote[688].speaker SPEAKER_05
transcript.pyannote[688].start 5113.62846875
transcript.pyannote[688].end 5124.47909375
transcript.pyannote[689].speaker SPEAKER_05
transcript.pyannote[689].start 5125.06971875
transcript.pyannote[689].end 5132.49471875
transcript.pyannote[690].speaker SPEAKER_05
transcript.pyannote[690].start 5132.89971875
transcript.pyannote[690].end 5133.32159375
transcript.pyannote[691].speaker SPEAKER_05
transcript.pyannote[691].start 5133.99659375
transcript.pyannote[691].end 5142.14721875
transcript.pyannote[692].speaker SPEAKER_05
transcript.pyannote[692].start 5142.43409375
transcript.pyannote[692].end 5146.80471875
transcript.pyannote[693].speaker SPEAKER_05
transcript.pyannote[693].start 5146.82159375
transcript.pyannote[693].end 5147.42909375
transcript.pyannote[694].speaker SPEAKER_05
transcript.pyannote[694].start 5147.81721875
transcript.pyannote[694].end 5152.05284375
transcript.pyannote[695].speaker SPEAKER_05
transcript.pyannote[695].start 5152.08659375
transcript.pyannote[695].end 5153.70659375
transcript.pyannote[696].speaker SPEAKER_21
transcript.pyannote[696].start 5154.76971875
transcript.pyannote[696].end 5155.14096875
transcript.pyannote[697].speaker SPEAKER_21
transcript.pyannote[697].start 5156.99721875
transcript.pyannote[697].end 5171.23971875
transcript.pyannote[698].speaker SPEAKER_21
transcript.pyannote[698].start 5171.45909375
transcript.pyannote[698].end 5173.78784375
transcript.pyannote[699].speaker SPEAKER_21
transcript.pyannote[699].start 5174.31096875
transcript.pyannote[699].end 5175.98159375
transcript.pyannote[700].speaker SPEAKER_21
transcript.pyannote[700].start 5176.15034375
transcript.pyannote[700].end 5176.80846875
transcript.pyannote[701].speaker SPEAKER_21
transcript.pyannote[701].start 5177.16284375
transcript.pyannote[701].end 5177.73659375
transcript.pyannote[702].speaker SPEAKER_21
transcript.pyannote[702].start 5177.93909375
transcript.pyannote[702].end 5179.37346875
transcript.pyannote[703].speaker SPEAKER_21
transcript.pyannote[703].start 5179.79534375
transcript.pyannote[703].end 5181.12846875
transcript.pyannote[704].speaker SPEAKER_21
transcript.pyannote[704].start 5181.68534375
transcript.pyannote[704].end 5182.10721875
transcript.pyannote[705].speaker SPEAKER_21
transcript.pyannote[705].start 5182.39409375
transcript.pyannote[705].end 5185.53284375
transcript.pyannote[706].speaker SPEAKER_21
transcript.pyannote[706].start 5185.71846875
transcript.pyannote[706].end 5187.60846875
transcript.pyannote[707].speaker SPEAKER_21
transcript.pyannote[707].start 5187.69284375
transcript.pyannote[707].end 5191.35471875
transcript.pyannote[708].speaker SPEAKER_21
transcript.pyannote[708].start 5191.54034375
transcript.pyannote[708].end 5194.39221875
transcript.pyannote[709].speaker SPEAKER_21
transcript.pyannote[709].start 5194.56096875
transcript.pyannote[709].end 5196.67034375
transcript.pyannote[710].speaker SPEAKER_25
transcript.pyannote[710].start 5209.30971875
transcript.pyannote[710].end 5211.75659375
transcript.pyannote[711].speaker SPEAKER_21
transcript.pyannote[711].start 5211.87471875
transcript.pyannote[711].end 5212.98846875
transcript.pyannote[712].speaker SPEAKER_25
transcript.pyannote[712].start 5220.31221875
transcript.pyannote[712].end 5221.42596875
transcript.pyannote[713].speaker SPEAKER_06
transcript.pyannote[713].start 5220.34596875
transcript.pyannote[713].end 5220.80159375
transcript.pyannote[714].speaker SPEAKER_25
transcript.pyannote[714].start 5221.67909375
transcript.pyannote[714].end 5222.86034375
transcript.pyannote[715].speaker SPEAKER_25
transcript.pyannote[715].start 5223.58596875
transcript.pyannote[715].end 5224.27784375
transcript.pyannote[716].speaker SPEAKER_25
transcript.pyannote[716].start 5224.91909375
transcript.pyannote[716].end 5228.22659375
transcript.pyannote[717].speaker SPEAKER_25
transcript.pyannote[717].start 5228.85096875
transcript.pyannote[717].end 5229.67784375
transcript.pyannote[718].speaker SPEAKER_25
transcript.pyannote[718].start 5229.89721875
transcript.pyannote[718].end 5231.58471875
transcript.pyannote[719].speaker SPEAKER_25
transcript.pyannote[719].start 5232.24284375
transcript.pyannote[719].end 5233.42409375
transcript.pyannote[720].speaker SPEAKER_23
transcript.pyannote[720].start 5233.50846875
transcript.pyannote[720].end 5233.81221875
transcript.pyannote[721].speaker SPEAKER_25
transcript.pyannote[721].start 5233.81221875
transcript.pyannote[721].end 5234.87534375
transcript.pyannote[722].speaker SPEAKER_25
transcript.pyannote[722].start 5234.95971875
transcript.pyannote[722].end 5237.50784375
transcript.pyannote[723].speaker SPEAKER_25
transcript.pyannote[723].start 5237.92971875
transcript.pyannote[723].end 5239.16159375
transcript.pyannote[724].speaker SPEAKER_25
transcript.pyannote[724].start 5240.03909375
transcript.pyannote[724].end 5243.98784375
transcript.pyannote[725].speaker SPEAKER_25
transcript.pyannote[725].start 5244.51096875
transcript.pyannote[725].end 5245.91159375
transcript.pyannote[726].speaker SPEAKER_25
transcript.pyannote[726].start 5246.60346875
transcript.pyannote[726].end 5248.12221875
transcript.pyannote[727].speaker SPEAKER_25
transcript.pyannote[727].start 5248.30784375
transcript.pyannote[727].end 5249.08409375
transcript.pyannote[728].speaker SPEAKER_25
transcript.pyannote[728].start 5249.82659375
transcript.pyannote[728].end 5251.46346875
transcript.pyannote[729].speaker SPEAKER_25
transcript.pyannote[729].start 5251.91909375
transcript.pyannote[729].end 5252.89784375
transcript.pyannote[730].speaker SPEAKER_25
transcript.pyannote[730].start 5253.13409375
transcript.pyannote[730].end 5254.51784375
transcript.pyannote[731].speaker SPEAKER_25
transcript.pyannote[731].start 5254.78784375
transcript.pyannote[731].end 5256.13784375
transcript.pyannote[732].speaker SPEAKER_25
transcript.pyannote[732].start 5256.86346875
transcript.pyannote[732].end 5258.46659375
transcript.pyannote[733].speaker SPEAKER_25
transcript.pyannote[733].start 5259.66471875
transcript.pyannote[733].end 5260.01909375
transcript.pyannote[734].speaker SPEAKER_25
transcript.pyannote[734].start 5261.23409375
transcript.pyannote[734].end 5263.76534375
transcript.pyannote[735].speaker SPEAKER_25
transcript.pyannote[735].start 5264.05221875
transcript.pyannote[735].end 5268.05159375
transcript.pyannote[736].speaker SPEAKER_25
transcript.pyannote[736].start 5268.52409375
transcript.pyannote[736].end 5271.49409375
transcript.pyannote[737].speaker SPEAKER_25
transcript.pyannote[737].start 5272.27034375
transcript.pyannote[737].end 5274.80159375
transcript.pyannote[738].speaker SPEAKER_25
transcript.pyannote[738].start 5275.62846875
transcript.pyannote[738].end 5279.69534375
transcript.pyannote[739].speaker SPEAKER_25
transcript.pyannote[739].start 5280.26909375
transcript.pyannote[739].end 5285.44971875
transcript.pyannote[740].speaker SPEAKER_25
transcript.pyannote[740].start 5285.68596875
transcript.pyannote[740].end 5287.81221875
transcript.pyannote[741].speaker SPEAKER_25
transcript.pyannote[741].start 5287.99784375
transcript.pyannote[741].end 5290.30971875
transcript.pyannote[742].speaker SPEAKER_25
transcript.pyannote[742].start 5290.34346875
transcript.pyannote[742].end 5293.38096875
transcript.pyannote[743].speaker SPEAKER_25
transcript.pyannote[743].start 5294.25846875
transcript.pyannote[743].end 5296.80659375
transcript.pyannote[744].speaker SPEAKER_25
transcript.pyannote[744].start 5297.29596875
transcript.pyannote[744].end 5299.37159375
transcript.pyannote[745].speaker SPEAKER_25
transcript.pyannote[745].start 5300.18159375
transcript.pyannote[745].end 5300.48534375
transcript.pyannote[746].speaker SPEAKER_25
transcript.pyannote[746].start 5301.37971875
transcript.pyannote[746].end 5305.64909375
transcript.pyannote[747].speaker SPEAKER_25
transcript.pyannote[747].start 5306.22284375
transcript.pyannote[747].end 5307.37034375
transcript.pyannote[748].speaker SPEAKER_25
transcript.pyannote[748].start 5307.57284375
transcript.pyannote[748].end 5309.85096875
transcript.pyannote[749].speaker SPEAKER_25
transcript.pyannote[749].start 5310.27284375
transcript.pyannote[749].end 5312.23034375
transcript.pyannote[750].speaker SPEAKER_25
transcript.pyannote[750].start 5313.02346875
transcript.pyannote[750].end 5319.50346875
transcript.pyannote[751].speaker SPEAKER_25
transcript.pyannote[751].start 5320.04346875
transcript.pyannote[751].end 5321.05596875
transcript.pyannote[752].speaker SPEAKER_25
transcript.pyannote[752].start 5322.33846875
transcript.pyannote[752].end 5323.50284375
transcript.pyannote[753].speaker SPEAKER_25
transcript.pyannote[753].start 5323.84034375
transcript.pyannote[753].end 5324.48159375
transcript.pyannote[754].speaker SPEAKER_25
transcript.pyannote[754].start 5325.13971875
transcript.pyannote[754].end 5326.33784375
transcript.pyannote[755].speaker SPEAKER_25
transcript.pyannote[755].start 5326.97909375
transcript.pyannote[755].end 5338.38659375
transcript.pyannote[756].speaker SPEAKER_20
transcript.pyannote[756].start 5331.87284375
transcript.pyannote[756].end 5333.57721875
transcript.pyannote[757].speaker SPEAKER_20
transcript.pyannote[757].start 5334.03284375
transcript.pyannote[757].end 5334.33659375
transcript.pyannote[758].speaker SPEAKER_20
transcript.pyannote[758].start 5335.36596875
transcript.pyannote[758].end 5335.61909375
transcript.pyannote[759].speaker SPEAKER_25
transcript.pyannote[759].start 5338.74096875
transcript.pyannote[759].end 5340.74909375
transcript.pyannote[760].speaker SPEAKER_25
transcript.pyannote[760].start 5341.27221875
transcript.pyannote[760].end 5343.68534375
transcript.pyannote[761].speaker SPEAKER_25
transcript.pyannote[761].start 5344.34346875
transcript.pyannote[761].end 5346.60471875
transcript.pyannote[762].speaker SPEAKER_25
transcript.pyannote[762].start 5347.04346875
transcript.pyannote[762].end 5349.87846875
transcript.pyannote[763].speaker SPEAKER_25
transcript.pyannote[763].start 5350.21596875
transcript.pyannote[763].end 5353.20284375
transcript.pyannote[764].speaker SPEAKER_25
transcript.pyannote[764].start 5353.48971875
transcript.pyannote[764].end 5354.40096875
transcript.pyannote[765].speaker SPEAKER_25
transcript.pyannote[765].start 5354.94096875
transcript.pyannote[765].end 5355.78471875
transcript.pyannote[766].speaker SPEAKER_25
transcript.pyannote[766].start 5356.07159375
transcript.pyannote[766].end 5356.69596875
transcript.pyannote[767].speaker SPEAKER_25
transcript.pyannote[767].start 5357.50596875
transcript.pyannote[767].end 5358.68721875
transcript.pyannote[768].speaker SPEAKER_25
transcript.pyannote[768].start 5359.73346875
transcript.pyannote[768].end 5361.96096875
transcript.pyannote[769].speaker SPEAKER_25
transcript.pyannote[769].start 5362.51784375
transcript.pyannote[769].end 5363.00721875
transcript.pyannote[770].speaker SPEAKER_25
transcript.pyannote[770].start 5363.78346875
transcript.pyannote[770].end 5364.71159375
transcript.pyannote[771].speaker SPEAKER_25
transcript.pyannote[771].start 5364.99846875
transcript.pyannote[771].end 5366.12909375
transcript.pyannote[772].speaker SPEAKER_25
transcript.pyannote[772].start 5366.24721875
transcript.pyannote[772].end 5368.35659375
transcript.pyannote[773].speaker SPEAKER_25
transcript.pyannote[773].start 5369.25096875
transcript.pyannote[773].end 5373.87471875
transcript.pyannote[774].speaker SPEAKER_25
transcript.pyannote[774].start 5374.21221875
transcript.pyannote[774].end 5375.17409375
transcript.pyannote[775].speaker SPEAKER_25
transcript.pyannote[775].start 5375.41034375
transcript.pyannote[775].end 5376.84471875
transcript.pyannote[776].speaker SPEAKER_25
transcript.pyannote[776].start 5377.30034375
transcript.pyannote[776].end 5378.44784375
transcript.pyannote[777].speaker SPEAKER_25
transcript.pyannote[777].start 5378.56596875
transcript.pyannote[777].end 5379.22409375
transcript.pyannote[778].speaker SPEAKER_25
transcript.pyannote[778].start 5379.84846875
transcript.pyannote[778].end 5380.87784375
transcript.pyannote[779].speaker SPEAKER_25
transcript.pyannote[779].start 5381.73846875
transcript.pyannote[779].end 5382.44721875
transcript.pyannote[780].speaker SPEAKER_25
transcript.pyannote[780].start 5382.61596875
transcript.pyannote[780].end 5384.89409375
transcript.pyannote[781].speaker SPEAKER_25
transcript.pyannote[781].start 5385.19784375
transcript.pyannote[781].end 5387.39159375
transcript.pyannote[782].speaker SPEAKER_23
transcript.pyannote[782].start 5385.31596875
transcript.pyannote[782].end 5385.40034375
transcript.pyannote[783].speaker SPEAKER_23
transcript.pyannote[783].start 5387.39159375
transcript.pyannote[783].end 5387.93159375
transcript.pyannote[784].speaker SPEAKER_25
transcript.pyannote[784].start 5387.62784375
transcript.pyannote[784].end 5390.12534375
transcript.pyannote[785].speaker SPEAKER_25
transcript.pyannote[785].start 5390.29409375
transcript.pyannote[785].end 5392.01534375
transcript.pyannote[786].speaker SPEAKER_25
transcript.pyannote[786].start 5392.38659375
transcript.pyannote[786].end 5393.92221875
transcript.pyannote[787].speaker SPEAKER_25
transcript.pyannote[787].start 5394.79971875
transcript.pyannote[787].end 5395.10346875
transcript.pyannote[788].speaker SPEAKER_25
transcript.pyannote[788].start 5396.18346875
transcript.pyannote[788].end 5399.23784375
transcript.pyannote[789].speaker SPEAKER_25
transcript.pyannote[789].start 5400.41909375
transcript.pyannote[789].end 5403.42284375
transcript.pyannote[790].speaker SPEAKER_00
transcript.pyannote[790].start 5400.75659375
transcript.pyannote[790].end 5400.94221875
transcript.pyannote[791].speaker SPEAKER_25
transcript.pyannote[791].start 5403.79409375
transcript.pyannote[791].end 5405.22846875
transcript.pyannote[792].speaker SPEAKER_25
transcript.pyannote[792].start 5405.92034375
transcript.pyannote[792].end 5410.32471875
transcript.pyannote[793].speaker SPEAKER_25
transcript.pyannote[793].start 5411.01659375
transcript.pyannote[793].end 5414.42534375
transcript.pyannote[794].speaker SPEAKER_25
transcript.pyannote[794].start 5414.57721875
transcript.pyannote[794].end 5417.05784375
transcript.pyannote[795].speaker SPEAKER_25
transcript.pyannote[795].start 5417.64846875
transcript.pyannote[795].end 5420.63534375
transcript.pyannote[796].speaker SPEAKER_25
transcript.pyannote[796].start 5421.12471875
transcript.pyannote[796].end 5423.97659375
transcript.pyannote[797].speaker SPEAKER_25
transcript.pyannote[797].start 5424.53346875
transcript.pyannote[797].end 5426.84534375
transcript.pyannote[798].speaker SPEAKER_25
transcript.pyannote[798].start 5427.14909375
transcript.pyannote[798].end 5431.78971875
transcript.pyannote[799].speaker SPEAKER_25
transcript.pyannote[799].start 5432.05971875
transcript.pyannote[799].end 5433.22409375
transcript.pyannote[800].speaker SPEAKER_25
transcript.pyannote[800].start 5433.94971875
transcript.pyannote[800].end 5436.85221875
transcript.pyannote[801].speaker SPEAKER_25
transcript.pyannote[801].start 5437.29096875
transcript.pyannote[801].end 5442.04971875
transcript.pyannote[802].speaker SPEAKER_25
transcript.pyannote[802].start 5442.28596875
transcript.pyannote[802].end 5442.79221875
transcript.pyannote[803].speaker SPEAKER_25
transcript.pyannote[803].start 5443.28159375
transcript.pyannote[803].end 5446.03221875
transcript.pyannote[804].speaker SPEAKER_25
transcript.pyannote[804].start 5446.23471875
transcript.pyannote[804].end 5456.03909375
transcript.pyannote[805].speaker SPEAKER_25
transcript.pyannote[805].start 5456.39346875
transcript.pyannote[805].end 5460.08909375
transcript.pyannote[806].speaker SPEAKER_25
transcript.pyannote[806].start 5460.66284375
transcript.pyannote[806].end 5464.57784375
transcript.pyannote[807].speaker SPEAKER_25
transcript.pyannote[807].start 5464.96596875
transcript.pyannote[807].end 5465.96159375
transcript.pyannote[808].speaker SPEAKER_25
transcript.pyannote[808].start 5466.55221875
transcript.pyannote[808].end 5467.96971875
transcript.pyannote[809].speaker SPEAKER_25
transcript.pyannote[809].start 5468.49284375
transcript.pyannote[809].end 5472.42471875
transcript.pyannote[810].speaker SPEAKER_25
transcript.pyannote[810].start 5473.04909375
transcript.pyannote[810].end 5476.69409375
transcript.pyannote[811].speaker SPEAKER_25
transcript.pyannote[811].start 5477.31846875
transcript.pyannote[811].end 5483.14034375
transcript.pyannote[812].speaker SPEAKER_25
transcript.pyannote[812].start 5483.88284375
transcript.pyannote[812].end 5485.21596875
transcript.pyannote[813].speaker SPEAKER_25
transcript.pyannote[813].start 5485.73909375
transcript.pyannote[813].end 5485.92471875
transcript.pyannote[814].speaker SPEAKER_25
transcript.pyannote[814].start 5486.09346875
transcript.pyannote[814].end 5487.57846875
transcript.pyannote[815].speaker SPEAKER_25
transcript.pyannote[815].start 5488.57409375
transcript.pyannote[815].end 5490.29534375
transcript.pyannote[816].speaker SPEAKER_25
transcript.pyannote[816].start 5490.56534375
transcript.pyannote[816].end 5491.20659375
transcript.pyannote[817].speaker SPEAKER_25
transcript.pyannote[817].start 5491.79721875
transcript.pyannote[817].end 5493.02909375
transcript.pyannote[818].speaker SPEAKER_25
transcript.pyannote[818].start 5493.56909375
transcript.pyannote[818].end 5494.96971875
transcript.pyannote[819].speaker SPEAKER_25
transcript.pyannote[819].start 5495.27346875
transcript.pyannote[819].end 5497.41659375
transcript.pyannote[820].speaker SPEAKER_25
transcript.pyannote[820].start 5498.44596875
transcript.pyannote[820].end 5499.69471875
transcript.pyannote[821].speaker SPEAKER_25
transcript.pyannote[821].start 5500.13346875
transcript.pyannote[821].end 5500.82534375
transcript.pyannote[822].speaker SPEAKER_25
transcript.pyannote[822].start 5501.55096875
transcript.pyannote[822].end 5506.56284375
transcript.pyannote[823].speaker SPEAKER_25
transcript.pyannote[823].start 5507.00159375
transcript.pyannote[823].end 5510.46096875
transcript.pyannote[824].speaker SPEAKER_25
transcript.pyannote[824].start 5510.96721875
transcript.pyannote[824].end 5513.21159375
transcript.pyannote[825].speaker SPEAKER_25
transcript.pyannote[825].start 5513.71784375
transcript.pyannote[825].end 5514.40971875
transcript.pyannote[826].speaker SPEAKER_25
transcript.pyannote[826].start 5514.66284375
transcript.pyannote[826].end 5516.31659375
transcript.pyannote[827].speaker SPEAKER_25
transcript.pyannote[827].start 5517.19409375
transcript.pyannote[827].end 5519.32034375
transcript.pyannote[828].speaker SPEAKER_25
transcript.pyannote[828].start 5519.84346875
transcript.pyannote[828].end 5521.68284375
transcript.pyannote[829].speaker SPEAKER_25
transcript.pyannote[829].start 5522.20596875
transcript.pyannote[829].end 5523.84284375
transcript.pyannote[830].speaker SPEAKER_25
transcript.pyannote[830].start 5524.73721875
transcript.pyannote[830].end 5529.98534375
transcript.pyannote[831].speaker SPEAKER_25
transcript.pyannote[831].start 5530.30596875
transcript.pyannote[831].end 5532.01034375
transcript.pyannote[832].speaker SPEAKER_25
transcript.pyannote[832].start 5532.66846875
transcript.pyannote[832].end 5534.81159375
transcript.pyannote[833].speaker SPEAKER_25
transcript.pyannote[833].start 5535.48659375
transcript.pyannote[833].end 5536.61721875
transcript.pyannote[834].speaker SPEAKER_25
transcript.pyannote[834].start 5537.29221875
transcript.pyannote[834].end 5539.33409375
transcript.pyannote[835].speaker SPEAKER_25
transcript.pyannote[835].start 5539.84034375
transcript.pyannote[835].end 5540.21159375
transcript.pyannote[836].speaker SPEAKER_25
transcript.pyannote[836].start 5540.22846875
transcript.pyannote[836].end 5542.38846875
transcript.pyannote[837].speaker SPEAKER_25
transcript.pyannote[837].start 5543.04659375
transcript.pyannote[837].end 5548.24409375
transcript.pyannote[838].speaker SPEAKER_25
transcript.pyannote[838].start 5549.72909375
transcript.pyannote[838].end 5552.15909375
transcript.pyannote[839].speaker SPEAKER_25
transcript.pyannote[839].start 5552.83409375
transcript.pyannote[839].end 5554.40346875
transcript.pyannote[840].speaker SPEAKER_25
transcript.pyannote[840].start 5554.55534375
transcript.pyannote[840].end 5555.17971875
transcript.pyannote[841].speaker SPEAKER_00
transcript.pyannote[841].start 5554.87596875
transcript.pyannote[841].end 5555.04471875
transcript.pyannote[842].speaker SPEAKER_25
transcript.pyannote[842].start 5556.36096875
transcript.pyannote[842].end 5558.30159375
transcript.pyannote[843].speaker SPEAKER_25
transcript.pyannote[843].start 5558.53784375
transcript.pyannote[843].end 5559.71909375
transcript.pyannote[844].speaker SPEAKER_25
transcript.pyannote[844].start 5560.41096875
transcript.pyannote[844].end 5562.84096875
transcript.pyannote[845].speaker SPEAKER_25
transcript.pyannote[845].start 5563.78596875
transcript.pyannote[845].end 5565.27096875
transcript.pyannote[846].speaker SPEAKER_25
transcript.pyannote[846].start 5565.50721875
transcript.pyannote[846].end 5567.26221875
transcript.pyannote[847].speaker SPEAKER_25
transcript.pyannote[847].start 5568.02159375
transcript.pyannote[847].end 5568.49409375
transcript.pyannote[848].speaker SPEAKER_25
transcript.pyannote[848].start 5569.01721875
transcript.pyannote[848].end 5569.33784375
transcript.pyannote[849].speaker SPEAKER_25
transcript.pyannote[849].start 5569.37159375
transcript.pyannote[849].end 5572.78034375
transcript.pyannote[850].speaker SPEAKER_25
transcript.pyannote[850].start 5573.25284375
transcript.pyannote[850].end 5574.36659375
transcript.pyannote[851].speaker SPEAKER_25
transcript.pyannote[851].start 5575.07534375
transcript.pyannote[851].end 5578.83846875
transcript.pyannote[852].speaker SPEAKER_25
transcript.pyannote[852].start 5579.37846875
transcript.pyannote[852].end 5586.33096875
transcript.pyannote[853].speaker SPEAKER_25
transcript.pyannote[853].start 5586.61784375
transcript.pyannote[853].end 5587.79909375
transcript.pyannote[854].speaker SPEAKER_25
transcript.pyannote[854].start 5588.79471875
transcript.pyannote[854].end 5590.73534375
transcript.pyannote[855].speaker SPEAKER_25
transcript.pyannote[855].start 5591.24159375
transcript.pyannote[855].end 5606.69909375
transcript.pyannote[856].speaker SPEAKER_25
transcript.pyannote[856].start 5607.18846875
transcript.pyannote[856].end 5608.80846875
transcript.pyannote[857].speaker SPEAKER_25
transcript.pyannote[857].start 5609.41596875
transcript.pyannote[857].end 5611.93034375
transcript.pyannote[858].speaker SPEAKER_25
transcript.pyannote[858].start 5612.30159375
transcript.pyannote[858].end 5616.25034375
transcript.pyannote[859].speaker SPEAKER_25
transcript.pyannote[859].start 5616.30096875
transcript.pyannote[859].end 5618.46096875
transcript.pyannote[860].speaker SPEAKER_25
transcript.pyannote[860].start 5618.49471875
transcript.pyannote[860].end 5619.64221875
transcript.pyannote[861].speaker SPEAKER_25
transcript.pyannote[861].start 5620.04721875
transcript.pyannote[861].end 5621.59971875
transcript.pyannote[862].speaker SPEAKER_25
transcript.pyannote[862].start 5621.90346875
transcript.pyannote[862].end 5622.64596875
transcript.pyannote[863].speaker SPEAKER_25
transcript.pyannote[863].start 5623.01721875
transcript.pyannote[863].end 5626.10534375
transcript.pyannote[864].speaker SPEAKER_25
transcript.pyannote[864].start 5626.61159375
transcript.pyannote[864].end 5628.78846875
transcript.pyannote[865].speaker SPEAKER_25
transcript.pyannote[865].start 5629.14284375
transcript.pyannote[865].end 5631.53909375
transcript.pyannote[866].speaker SPEAKER_25
transcript.pyannote[866].start 5631.94409375
transcript.pyannote[866].end 5633.81721875
transcript.pyannote[867].speaker SPEAKER_25
transcript.pyannote[867].start 5634.22221875
transcript.pyannote[867].end 5635.94346875
transcript.pyannote[868].speaker SPEAKER_25
transcript.pyannote[868].start 5636.71971875
transcript.pyannote[868].end 5640.46596875
transcript.pyannote[869].speaker SPEAKER_25
transcript.pyannote[869].start 5640.90471875
transcript.pyannote[869].end 5645.27534375
transcript.pyannote[870].speaker SPEAKER_25
transcript.pyannote[870].start 5645.37659375
transcript.pyannote[870].end 5647.03034375
transcript.pyannote[871].speaker SPEAKER_25
transcript.pyannote[871].start 5647.24971875
transcript.pyannote[871].end 5648.48159375
transcript.pyannote[872].speaker SPEAKER_25
transcript.pyannote[872].start 5648.81909375
transcript.pyannote[872].end 5651.19846875
transcript.pyannote[873].speaker SPEAKER_25
transcript.pyannote[873].start 5651.58659375
transcript.pyannote[873].end 5652.70034375
transcript.pyannote[874].speaker SPEAKER_08
transcript.pyannote[874].start 5652.98721875
transcript.pyannote[874].end 5653.24034375
transcript.pyannote[875].speaker SPEAKER_25
transcript.pyannote[875].start 5653.35846875
transcript.pyannote[875].end 5654.03346875
transcript.pyannote[876].speaker SPEAKER_25
transcript.pyannote[876].start 5655.50159375
transcript.pyannote[876].end 5655.55221875
transcript.pyannote[877].speaker SPEAKER_25
transcript.pyannote[877].start 5655.88971875
transcript.pyannote[877].end 5658.25221875
transcript.pyannote[878].speaker SPEAKER_25
transcript.pyannote[878].start 5658.58971875
transcript.pyannote[878].end 5660.53034375
transcript.pyannote[879].speaker SPEAKER_20
transcript.pyannote[879].start 5661.67784375
transcript.pyannote[879].end 5668.07346875
transcript.pyannote[880].speaker SPEAKER_20
transcript.pyannote[880].start 5668.39409375
transcript.pyannote[880].end 5672.08971875
transcript.pyannote[881].speaker SPEAKER_21
transcript.pyannote[881].start 5673.59159375
transcript.pyannote[881].end 5674.45221875
transcript.pyannote[882].speaker SPEAKER_21
transcript.pyannote[882].start 5677.42221875
transcript.pyannote[882].end 5680.00409375
transcript.pyannote[883].speaker SPEAKER_28
transcript.pyannote[883].start 5686.50096875
transcript.pyannote[883].end 5688.35721875
transcript.pyannote[884].speaker SPEAKER_21
transcript.pyannote[884].start 5688.71159375
transcript.pyannote[884].end 5689.82534375
transcript.pyannote[885].speaker SPEAKER_28
transcript.pyannote[885].start 5696.94659375
transcript.pyannote[885].end 5757.73034375
transcript.pyannote[886].speaker SPEAKER_28
transcript.pyannote[886].start 5758.16909375
transcript.pyannote[886].end 5766.52221875
transcript.pyannote[887].speaker SPEAKER_28
transcript.pyannote[887].start 5767.06221875
transcript.pyannote[887].end 5770.45409375
transcript.pyannote[888].speaker SPEAKER_28
transcript.pyannote[888].start 5770.48784375
transcript.pyannote[888].end 5780.96721875
transcript.pyannote[889].speaker SPEAKER_20
transcript.pyannote[889].start 5780.96721875
transcript.pyannote[889].end 5782.43534375
transcript.pyannote[890].speaker SPEAKER_20
transcript.pyannote[890].start 5782.53659375
transcript.pyannote[890].end 5788.34159375
transcript.pyannote[891].speaker SPEAKER_20
transcript.pyannote[891].start 5788.54409375
transcript.pyannote[891].end 5802.93846875
transcript.pyannote[892].speaker SPEAKER_28
transcript.pyannote[892].start 5800.71096875
transcript.pyannote[892].end 5801.58846875
transcript.pyannote[893].speaker SPEAKER_28
transcript.pyannote[893].start 5802.56721875
transcript.pyannote[893].end 5819.96534375
transcript.pyannote[894].speaker SPEAKER_20
transcript.pyannote[894].start 5809.67159375
transcript.pyannote[894].end 5810.22846875
transcript.pyannote[895].speaker SPEAKER_20
transcript.pyannote[895].start 5819.96534375
transcript.pyannote[895].end 5822.09159375
transcript.pyannote[896].speaker SPEAKER_20
transcript.pyannote[896].start 5822.83409375
transcript.pyannote[896].end 5851.03221875
transcript.pyannote[897].speaker SPEAKER_28
transcript.pyannote[897].start 5830.56284375
transcript.pyannote[897].end 5831.03534375
transcript.pyannote[898].speaker SPEAKER_28
transcript.pyannote[898].start 5840.26596875
transcript.pyannote[898].end 5841.12659375
transcript.pyannote[899].speaker SPEAKER_28
transcript.pyannote[899].start 5851.03221875
transcript.pyannote[899].end 5862.89534375
transcript.pyannote[900].speaker SPEAKER_20
transcript.pyannote[900].start 5851.26846875
transcript.pyannote[900].end 5851.63971875
transcript.pyannote[901].speaker SPEAKER_28
transcript.pyannote[901].start 5863.62096875
transcript.pyannote[901].end 5879.97284375
transcript.pyannote[902].speaker SPEAKER_00
transcript.pyannote[902].start 5873.10471875
transcript.pyannote[902].end 5873.72909375
transcript.pyannote[903].speaker SPEAKER_20
transcript.pyannote[903].start 5879.97284375
transcript.pyannote[903].end 5885.99721875
transcript.pyannote[904].speaker SPEAKER_20
transcript.pyannote[904].start 5886.33471875
transcript.pyannote[904].end 5898.83909375
transcript.pyannote[905].speaker SPEAKER_28
transcript.pyannote[905].start 5897.60721875
transcript.pyannote[905].end 5898.18096875
transcript.pyannote[906].speaker SPEAKER_28
transcript.pyannote[906].start 5898.38346875
transcript.pyannote[906].end 5915.86596875
transcript.pyannote[907].speaker SPEAKER_20
transcript.pyannote[907].start 5913.45284375
transcript.pyannote[907].end 5914.87034375
transcript.pyannote[908].speaker SPEAKER_20
transcript.pyannote[908].start 5915.86596875
transcript.pyannote[908].end 5924.32034375
transcript.pyannote[909].speaker SPEAKER_28
transcript.pyannote[909].start 5916.10221875
transcript.pyannote[909].end 5916.49034375
transcript.pyannote[910].speaker SPEAKER_28
transcript.pyannote[910].start 5923.66221875
transcript.pyannote[910].end 5927.22284375
transcript.pyannote[911].speaker SPEAKER_20
transcript.pyannote[911].start 5927.22284375
transcript.pyannote[911].end 5928.58971875
transcript.pyannote[912].speaker SPEAKER_28
transcript.pyannote[912].start 5927.56034375
transcript.pyannote[912].end 5928.23534375
transcript.pyannote[913].speaker SPEAKER_28
transcript.pyannote[913].start 5928.53909375
transcript.pyannote[913].end 5931.59346875
transcript.pyannote[914].speaker SPEAKER_20
transcript.pyannote[914].start 5930.95221875
transcript.pyannote[914].end 5931.42471875
transcript.pyannote[915].speaker SPEAKER_28
transcript.pyannote[915].start 5932.16721875
transcript.pyannote[915].end 5967.97596875
transcript.pyannote[916].speaker SPEAKER_28
transcript.pyannote[916].start 5968.78596875
transcript.pyannote[916].end 5983.97346875
transcript.pyannote[917].speaker SPEAKER_20
transcript.pyannote[917].start 5983.97346875
transcript.pyannote[917].end 5984.22659375
transcript.pyannote[918].speaker SPEAKER_20
transcript.pyannote[918].start 5985.15471875
transcript.pyannote[918].end 5994.43596875
transcript.pyannote[919].speaker SPEAKER_20
transcript.pyannote[919].start 5994.77346875
transcript.pyannote[919].end 5999.92034375
transcript.pyannote[920].speaker SPEAKER_28
transcript.pyannote[920].start 5997.82784375
transcript.pyannote[920].end 5999.83596875
transcript.pyannote[921].speaker SPEAKER_28
transcript.pyannote[921].start 5999.92034375
transcript.pyannote[921].end 5999.93721875
transcript.pyannote[922].speaker SPEAKER_20
transcript.pyannote[922].start 5999.93721875
transcript.pyannote[922].end 6000.03846875
transcript.pyannote[923].speaker SPEAKER_28
transcript.pyannote[923].start 6000.03846875
transcript.pyannote[923].end 6001.54034375
transcript.pyannote[924].speaker SPEAKER_28
transcript.pyannote[924].start 6002.02971875
transcript.pyannote[924].end 6006.16409375
transcript.pyannote[925].speaker SPEAKER_20
transcript.pyannote[925].start 6005.52284375
transcript.pyannote[925].end 6007.53096875
transcript.pyannote[926].speaker SPEAKER_28
transcript.pyannote[926].start 6007.22721875
transcript.pyannote[926].end 6020.99721875
transcript.pyannote[927].speaker SPEAKER_20
transcript.pyannote[927].start 6014.33159375
transcript.pyannote[927].end 6014.39909375
transcript.pyannote[928].speaker SPEAKER_20
transcript.pyannote[928].start 6017.30159375
transcript.pyannote[928].end 6017.99346875
transcript.pyannote[929].speaker SPEAKER_20
transcript.pyannote[929].start 6019.09034375
transcript.pyannote[929].end 6019.27596875
transcript.pyannote[930].speaker SPEAKER_12
transcript.pyannote[930].start 6019.27596875
transcript.pyannote[930].end 6019.37721875
transcript.pyannote[931].speaker SPEAKER_20
transcript.pyannote[931].start 6019.37721875
transcript.pyannote[931].end 6019.56284375
transcript.pyannote[932].speaker SPEAKER_28
transcript.pyannote[932].start 6021.23346875
transcript.pyannote[932].end 6022.60034375
transcript.pyannote[933].speaker SPEAKER_28
transcript.pyannote[933].start 6023.56221875
transcript.pyannote[933].end 6025.75596875
transcript.pyannote[934].speaker SPEAKER_28
transcript.pyannote[934].start 6026.93721875
transcript.pyannote[934].end 6030.80159375
transcript.pyannote[935].speaker SPEAKER_28
transcript.pyannote[935].start 6030.91971875
transcript.pyannote[935].end 6087.60284375
transcript.pyannote[936].speaker SPEAKER_20
transcript.pyannote[936].start 6033.02909375
transcript.pyannote[936].end 6033.97409375
transcript.pyannote[937].speaker SPEAKER_28
transcript.pyannote[937].start 6088.22721875
transcript.pyannote[937].end 6102.48659375
transcript.pyannote[938].speaker SPEAKER_20
transcript.pyannote[938].start 6102.48659375
transcript.pyannote[938].end 6102.50346875
transcript.pyannote[939].speaker SPEAKER_28
transcript.pyannote[939].start 6103.17846875
transcript.pyannote[939].end 6103.19534375
transcript.pyannote[940].speaker SPEAKER_20
transcript.pyannote[940].start 6103.19534375
transcript.pyannote[940].end 6103.68471875
transcript.pyannote[941].speaker SPEAKER_28
transcript.pyannote[941].start 6104.29221875
transcript.pyannote[941].end 6104.30909375
transcript.pyannote[942].speaker SPEAKER_20
transcript.pyannote[942].start 6104.30909375
transcript.pyannote[942].end 6105.20346875
transcript.pyannote[943].speaker SPEAKER_20
transcript.pyannote[943].start 6105.33846875
transcript.pyannote[943].end 6128.03534375
transcript.pyannote[944].speaker SPEAKER_20
transcript.pyannote[944].start 6128.47409375
transcript.pyannote[944].end 6131.84909375
transcript.pyannote[945].speaker SPEAKER_28
transcript.pyannote[945].start 6131.84909375
transcript.pyannote[945].end 6135.02159375
transcript.pyannote[946].speaker SPEAKER_20
transcript.pyannote[946].start 6132.03471875
transcript.pyannote[946].end 6132.87846875
transcript.pyannote[947].speaker SPEAKER_28
transcript.pyannote[947].start 6135.81471875
transcript.pyannote[947].end 6164.97471875
transcript.pyannote[948].speaker SPEAKER_20
transcript.pyannote[948].start 6164.97471875
transcript.pyannote[948].end 6169.36221875
transcript.pyannote[949].speaker SPEAKER_20
transcript.pyannote[949].start 6169.58159375
transcript.pyannote[949].end 6172.51784375
transcript.pyannote[950].speaker SPEAKER_20
transcript.pyannote[950].start 6172.77096875
transcript.pyannote[950].end 6175.30221875
transcript.pyannote[951].speaker SPEAKER_20
transcript.pyannote[951].start 6175.50471875
transcript.pyannote[951].end 6177.90096875
transcript.pyannote[952].speaker SPEAKER_20
transcript.pyannote[952].start 6178.17096875
transcript.pyannote[952].end 6179.97659375
transcript.pyannote[953].speaker SPEAKER_20
transcript.pyannote[953].start 6180.24659375
transcript.pyannote[953].end 6185.78159375
transcript.pyannote[954].speaker SPEAKER_28
transcript.pyannote[954].start 6183.95909375
transcript.pyannote[954].end 6184.29659375
transcript.pyannote[955].speaker SPEAKER_28
transcript.pyannote[955].start 6185.24159375
transcript.pyannote[955].end 6204.74909375
transcript.pyannote[956].speaker SPEAKER_28
transcript.pyannote[956].start 6205.50846875
transcript.pyannote[956].end 6227.73284375
transcript.pyannote[957].speaker SPEAKER_15
transcript.pyannote[957].start 6227.73284375
transcript.pyannote[957].end 6227.74971875
transcript.pyannote[958].speaker SPEAKER_15
transcript.pyannote[958].start 6228.55971875
transcript.pyannote[958].end 6232.08659375
transcript.pyannote[959].speaker SPEAKER_15
transcript.pyannote[959].start 6232.17096875
transcript.pyannote[959].end 6236.99721875
transcript.pyannote[960].speaker SPEAKER_15
transcript.pyannote[960].start 6237.03096875
transcript.pyannote[960].end 6240.30471875
transcript.pyannote[961].speaker SPEAKER_28
transcript.pyannote[961].start 6237.65534375
transcript.pyannote[961].end 6244.33784375
transcript.pyannote[962].speaker SPEAKER_28
transcript.pyannote[962].start 6244.74284375
transcript.pyannote[962].end 6252.84284375
transcript.pyannote[963].speaker SPEAKER_15
transcript.pyannote[963].start 6253.02846875
transcript.pyannote[963].end 6257.29784375
transcript.pyannote[964].speaker SPEAKER_28
transcript.pyannote[964].start 6256.60596875
transcript.pyannote[964].end 6273.10971875
transcript.pyannote[965].speaker SPEAKER_15
transcript.pyannote[965].start 6269.41409375
transcript.pyannote[965].end 6270.30846875
transcript.pyannote[966].speaker SPEAKER_15
transcript.pyannote[966].start 6273.27846875
transcript.pyannote[966].end 6276.34971875
transcript.pyannote[967].speaker SPEAKER_28
transcript.pyannote[967].start 6274.74659375
transcript.pyannote[967].end 6275.45534375
transcript.pyannote[968].speaker SPEAKER_28
transcript.pyannote[968].start 6275.75909375
transcript.pyannote[968].end 6278.07096875
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 6278.07096875
transcript.pyannote[969].end 6283.09971875
transcript.pyannote[970].speaker SPEAKER_28
transcript.pyannote[970].start 6282.72846875
transcript.pyannote[970].end 6286.57596875
transcript.pyannote[971].speaker SPEAKER_15
transcript.pyannote[971].start 6284.82096875
transcript.pyannote[971].end 6286.52534375
transcript.pyannote[972].speaker SPEAKER_20
transcript.pyannote[972].start 6286.52534375
transcript.pyannote[972].end 6286.54221875
transcript.pyannote[973].speaker SPEAKER_20
transcript.pyannote[973].start 6286.57596875
transcript.pyannote[973].end 6288.06096875
transcript.pyannote[974].speaker SPEAKER_28
transcript.pyannote[974].start 6287.92596875
transcript.pyannote[974].end 6301.24034375
transcript.pyannote[975].speaker SPEAKER_23
transcript.pyannote[975].start 6295.68846875
transcript.pyannote[975].end 6295.82346875
transcript.pyannote[976].speaker SPEAKER_20
transcript.pyannote[976].start 6295.82346875
transcript.pyannote[976].end 6297.08909375
transcript.pyannote[977].speaker SPEAKER_28
transcript.pyannote[977].start 6302.38784375
transcript.pyannote[977].end 6302.97846875
transcript.pyannote[978].speaker SPEAKER_21
transcript.pyannote[978].start 6302.97846875
transcript.pyannote[978].end 6303.11346875
transcript.pyannote[979].speaker SPEAKER_28
transcript.pyannote[979].start 6303.11346875
transcript.pyannote[979].end 6303.29909375
transcript.pyannote[980].speaker SPEAKER_21
transcript.pyannote[980].start 6303.29909375
transcript.pyannote[980].end 6303.56909375
transcript.pyannote[981].speaker SPEAKER_21
transcript.pyannote[981].start 6306.28596875
transcript.pyannote[981].end 6308.85096875
transcript.pyannote[982].speaker SPEAKER_21
transcript.pyannote[982].start 6309.55971875
transcript.pyannote[982].end 6315.87096875
transcript.pyannote[983].speaker SPEAKER_21
transcript.pyannote[983].start 6321.45659375
transcript.pyannote[983].end 6321.47346875
transcript.pyannote[984].speaker SPEAKER_24
transcript.pyannote[984].start 6321.47346875
transcript.pyannote[984].end 6321.72659375
transcript.pyannote[985].speaker SPEAKER_24
transcript.pyannote[985].start 6324.19034375
transcript.pyannote[985].end 6325.48971875
transcript.pyannote[986].speaker SPEAKER_24
transcript.pyannote[986].start 6325.65846875
transcript.pyannote[986].end 6327.88596875
transcript.pyannote[987].speaker SPEAKER_24
transcript.pyannote[987].start 6328.49346875
transcript.pyannote[987].end 6329.64096875
transcript.pyannote[988].speaker SPEAKER_20
transcript.pyannote[988].start 6336.17159375
transcript.pyannote[988].end 6336.71159375
transcript.pyannote[989].speaker SPEAKER_24
transcript.pyannote[989].start 6336.77909375
transcript.pyannote[989].end 6337.85909375
transcript.pyannote[990].speaker SPEAKER_24
transcript.pyannote[990].start 6338.14596875
transcript.pyannote[990].end 6345.16596875
transcript.pyannote[991].speaker SPEAKER_24
transcript.pyannote[991].start 6345.40221875
transcript.pyannote[991].end 6354.19409375
transcript.pyannote[992].speaker SPEAKER_24
transcript.pyannote[992].start 6354.80159375
transcript.pyannote[992].end 6357.50159375
transcript.pyannote[993].speaker SPEAKER_24
transcript.pyannote[993].start 6357.75471875
transcript.pyannote[993].end 6362.78346875
transcript.pyannote[994].speaker SPEAKER_24
transcript.pyannote[994].start 6364.36971875
transcript.pyannote[994].end 6380.23221875
transcript.pyannote[995].speaker SPEAKER_24
transcript.pyannote[995].start 6381.44721875
transcript.pyannote[995].end 6382.18971875
transcript.pyannote[996].speaker SPEAKER_24
transcript.pyannote[996].start 6383.10096875
transcript.pyannote[996].end 6383.91096875
transcript.pyannote[997].speaker SPEAKER_24
transcript.pyannote[997].start 6384.23159375
transcript.pyannote[997].end 6385.07534375
transcript.pyannote[998].speaker SPEAKER_24
transcript.pyannote[998].start 6385.63221875
transcript.pyannote[998].end 6386.86409375
transcript.pyannote[999].speaker SPEAKER_24
transcript.pyannote[999].start 6387.20159375
transcript.pyannote[999].end 6388.06221875
transcript.pyannote[1000].speaker SPEAKER_24
transcript.pyannote[1000].start 6388.53471875
transcript.pyannote[1000].end 6388.99034375
transcript.pyannote[1001].speaker SPEAKER_24
transcript.pyannote[1001].start 6389.47971875
transcript.pyannote[1001].end 6389.98596875
transcript.pyannote[1002].speaker SPEAKER_24
transcript.pyannote[1002].start 6390.13784375
transcript.pyannote[1002].end 6391.75784375
transcript.pyannote[1003].speaker SPEAKER_24
transcript.pyannote[1003].start 6392.34846875
transcript.pyannote[1003].end 6394.60971875
transcript.pyannote[1004].speaker SPEAKER_24
transcript.pyannote[1004].start 6395.06534375
transcript.pyannote[1004].end 6396.28034375
transcript.pyannote[1005].speaker SPEAKER_24
transcript.pyannote[1005].start 6397.15784375
transcript.pyannote[1005].end 6398.33909375
transcript.pyannote[1006].speaker SPEAKER_24
transcript.pyannote[1006].start 6398.59221875
transcript.pyannote[1006].end 6399.45284375
transcript.pyannote[1007].speaker SPEAKER_20
transcript.pyannote[1007].start 6399.65534375
transcript.pyannote[1007].end 6399.94221875
transcript.pyannote[1008].speaker SPEAKER_24
transcript.pyannote[1008].start 6400.26284375
transcript.pyannote[1008].end 6400.93784375
transcript.pyannote[1009].speaker SPEAKER_20
transcript.pyannote[1009].start 6400.41471875
transcript.pyannote[1009].end 6400.43159375
transcript.pyannote[1010].speaker SPEAKER_20
transcript.pyannote[1010].start 6400.93784375
transcript.pyannote[1010].end 6401.20784375
transcript.pyannote[1011].speaker SPEAKER_24
transcript.pyannote[1011].start 6401.20784375
transcript.pyannote[1011].end 6402.70971875
transcript.pyannote[1012].speaker SPEAKER_20
transcript.pyannote[1012].start 6402.94596875
transcript.pyannote[1012].end 6403.24971875
transcript.pyannote[1013].speaker SPEAKER_24
transcript.pyannote[1013].start 6403.73909375
transcript.pyannote[1013].end 6404.88659375
transcript.pyannote[1014].speaker SPEAKER_20
transcript.pyannote[1014].start 6404.11034375
transcript.pyannote[1014].end 6405.42659375
transcript.pyannote[1015].speaker SPEAKER_24
transcript.pyannote[1015].start 6405.93284375
transcript.pyannote[1015].end 6406.50659375
transcript.pyannote[1016].speaker SPEAKER_20
transcript.pyannote[1016].start 6406.50659375
transcript.pyannote[1016].end 6406.74284375
transcript.pyannote[1017].speaker SPEAKER_24
transcript.pyannote[1017].start 6406.89471875
transcript.pyannote[1017].end 6408.64971875
transcript.pyannote[1018].speaker SPEAKER_24
transcript.pyannote[1018].start 6409.29096875
transcript.pyannote[1018].end 6414.08346875
transcript.pyannote[1019].speaker SPEAKER_24
transcript.pyannote[1019].start 6414.77534375
transcript.pyannote[1019].end 6415.41659375
transcript.pyannote[1020].speaker SPEAKER_24
transcript.pyannote[1020].start 6416.22659375
transcript.pyannote[1020].end 6417.18846875
transcript.pyannote[1021].speaker SPEAKER_24
transcript.pyannote[1021].start 6417.77909375
transcript.pyannote[1021].end 6418.53846875
transcript.pyannote[1022].speaker SPEAKER_24
transcript.pyannote[1022].start 6420.31034375
transcript.pyannote[1022].end 6421.49159375
transcript.pyannote[1023].speaker SPEAKER_24
transcript.pyannote[1023].start 6422.23409375
transcript.pyannote[1023].end 6423.38159375
transcript.pyannote[1024].speaker SPEAKER_24
transcript.pyannote[1024].start 6424.42784375
transcript.pyannote[1024].end 6424.44471875
transcript.pyannote[1025].speaker SPEAKER_20
transcript.pyannote[1025].start 6424.44471875
transcript.pyannote[1025].end 6424.46159375
transcript.pyannote[1026].speaker SPEAKER_24
transcript.pyannote[1026].start 6424.46159375
transcript.pyannote[1026].end 6425.52471875
transcript.pyannote[1027].speaker SPEAKER_20
transcript.pyannote[1027].start 6424.47846875
transcript.pyannote[1027].end 6430.21596875
transcript.pyannote[1028].speaker SPEAKER_20
transcript.pyannote[1028].start 6430.35096875
transcript.pyannote[1028].end 6432.89909375
transcript.pyannote[1029].speaker SPEAKER_24
transcript.pyannote[1029].start 6432.83159375
transcript.pyannote[1029].end 6433.57409375
transcript.pyannote[1030].speaker SPEAKER_24
transcript.pyannote[1030].start 6433.81034375
transcript.pyannote[1030].end 6435.36284375
transcript.pyannote[1031].speaker SPEAKER_24
transcript.pyannote[1031].start 6436.56096875
transcript.pyannote[1031].end 6438.77159375
transcript.pyannote[1032].speaker SPEAKER_20
transcript.pyannote[1032].start 6437.74221875
transcript.pyannote[1032].end 6443.15909375
transcript.pyannote[1033].speaker SPEAKER_24
transcript.pyannote[1033].start 6439.93596875
transcript.pyannote[1033].end 6440.52659375
transcript.pyannote[1034].speaker SPEAKER_24
transcript.pyannote[1034].start 6442.65284375
transcript.pyannote[1034].end 6444.17159375
transcript.pyannote[1035].speaker SPEAKER_20
transcript.pyannote[1035].start 6443.59784375
transcript.pyannote[1035].end 6444.64409375
transcript.pyannote[1036].speaker SPEAKER_24
transcript.pyannote[1036].start 6444.64409375
transcript.pyannote[1036].end 6445.33596875
transcript.pyannote[1037].speaker SPEAKER_24
transcript.pyannote[1037].start 6445.60596875
transcript.pyannote[1037].end 6451.83284375
transcript.pyannote[1038].speaker SPEAKER_24
transcript.pyannote[1038].start 6452.62596875
transcript.pyannote[1038].end 6456.47346875
transcript.pyannote[1039].speaker SPEAKER_24
transcript.pyannote[1039].start 6456.99659375
transcript.pyannote[1039].end 6472.11659375
transcript.pyannote[1040].speaker SPEAKER_24
transcript.pyannote[1040].start 6472.18409375
transcript.pyannote[1040].end 6473.02784375
transcript.pyannote[1041].speaker SPEAKER_24
transcript.pyannote[1041].start 6475.33971875
transcript.pyannote[1041].end 6476.82471875
transcript.pyannote[1042].speaker SPEAKER_24
transcript.pyannote[1042].start 6477.11159375
transcript.pyannote[1042].end 6479.30534375
transcript.pyannote[1043].speaker SPEAKER_05
transcript.pyannote[1043].start 6479.05221875
transcript.pyannote[1043].end 6480.01409375
transcript.pyannote[1044].speaker SPEAKER_24
transcript.pyannote[1044].start 6480.40221875
transcript.pyannote[1044].end 6484.70534375
transcript.pyannote[1045].speaker SPEAKER_23
transcript.pyannote[1045].start 6484.90784375
transcript.pyannote[1045].end 6485.21159375
transcript.pyannote[1046].speaker SPEAKER_24
transcript.pyannote[1046].start 6485.21159375
transcript.pyannote[1046].end 6486.00471875
transcript.pyannote[1047].speaker SPEAKER_23
transcript.pyannote[1047].start 6485.22846875
transcript.pyannote[1047].end 6485.27909375
transcript.pyannote[1048].speaker SPEAKER_05
transcript.pyannote[1048].start 6485.31284375
transcript.pyannote[1048].end 6485.36346875
transcript.pyannote[1049].speaker SPEAKER_24
transcript.pyannote[1049].start 6486.24096875
transcript.pyannote[1049].end 6487.38846875
transcript.pyannote[1050].speaker SPEAKER_24
transcript.pyannote[1050].start 6488.24909375
transcript.pyannote[1050].end 6490.93221875
transcript.pyannote[1051].speaker SPEAKER_24
transcript.pyannote[1051].start 6491.75909375
transcript.pyannote[1051].end 6494.22284375
transcript.pyannote[1052].speaker SPEAKER_24
transcript.pyannote[1052].start 6494.59409375
transcript.pyannote[1052].end 6501.74909375
transcript.pyannote[1053].speaker SPEAKER_24
transcript.pyannote[1053].start 6503.95971875
transcript.pyannote[1053].end 6505.02284375
transcript.pyannote[1054].speaker SPEAKER_24
transcript.pyannote[1054].start 6506.37284375
transcript.pyannote[1054].end 6508.43159375
transcript.pyannote[1055].speaker SPEAKER_24
transcript.pyannote[1055].start 6509.42721875
transcript.pyannote[1055].end 6511.03034375
transcript.pyannote[1056].speaker SPEAKER_23
transcript.pyannote[1056].start 6511.03034375
transcript.pyannote[1056].end 6511.48596875
transcript.pyannote[1057].speaker SPEAKER_24
transcript.pyannote[1057].start 6512.36346875
transcript.pyannote[1057].end 6513.08909375
transcript.pyannote[1058].speaker SPEAKER_24
transcript.pyannote[1058].start 6513.44346875
transcript.pyannote[1058].end 6515.41784375
transcript.pyannote[1059].speaker SPEAKER_24
transcript.pyannote[1059].start 6515.83971875
transcript.pyannote[1059].end 6517.72971875
transcript.pyannote[1060].speaker SPEAKER_24
transcript.pyannote[1060].start 6519.38346875
transcript.pyannote[1060].end 6520.81784375
transcript.pyannote[1061].speaker SPEAKER_20
transcript.pyannote[1061].start 6521.25659375
transcript.pyannote[1061].end 6521.71221875
transcript.pyannote[1062].speaker SPEAKER_24
transcript.pyannote[1062].start 6522.15096875
transcript.pyannote[1062].end 6523.72034375
transcript.pyannote[1063].speaker SPEAKER_20
transcript.pyannote[1063].start 6523.02846875
transcript.pyannote[1063].end 6524.86784375
transcript.pyannote[1064].speaker SPEAKER_24
transcript.pyannote[1064].start 6525.08721875
transcript.pyannote[1064].end 6525.88034375
transcript.pyannote[1065].speaker SPEAKER_24
transcript.pyannote[1065].start 6526.52159375
transcript.pyannote[1065].end 6536.05596875
transcript.pyannote[1066].speaker SPEAKER_24
transcript.pyannote[1066].start 6536.61284375
transcript.pyannote[1066].end 6550.43346875
transcript.pyannote[1067].speaker SPEAKER_24
transcript.pyannote[1067].start 6553.60596875
transcript.pyannote[1067].end 6554.06159375
transcript.pyannote[1068].speaker SPEAKER_24
transcript.pyannote[1068].start 6555.32721875
transcript.pyannote[1068].end 6556.37346875
transcript.pyannote[1069].speaker SPEAKER_20
transcript.pyannote[1069].start 6556.37346875
transcript.pyannote[1069].end 6558.73596875
transcript.pyannote[1070].speaker SPEAKER_24
transcript.pyannote[1070].start 6557.62221875
transcript.pyannote[1070].end 6558.75284375
transcript.pyannote[1071].speaker SPEAKER_20
transcript.pyannote[1071].start 6558.75284375
transcript.pyannote[1071].end 6558.82034375
transcript.pyannote[1072].speaker SPEAKER_20
transcript.pyannote[1072].start 6558.95534375
transcript.pyannote[1072].end 6559.73159375
transcript.pyannote[1073].speaker SPEAKER_24
transcript.pyannote[1073].start 6559.91721875
transcript.pyannote[1073].end 6561.33471875
transcript.pyannote[1074].speaker SPEAKER_20
transcript.pyannote[1074].start 6561.38534375
transcript.pyannote[1074].end 6562.07721875
transcript.pyannote[1075].speaker SPEAKER_24
transcript.pyannote[1075].start 6562.02659375
transcript.pyannote[1075].end 6564.10221875
transcript.pyannote[1076].speaker SPEAKER_20
transcript.pyannote[1076].start 6563.44409375
transcript.pyannote[1076].end 6564.91221875
transcript.pyannote[1077].speaker SPEAKER_20
transcript.pyannote[1077].start 6565.26659375
transcript.pyannote[1077].end 6566.65034375
transcript.pyannote[1078].speaker SPEAKER_24
transcript.pyannote[1078].start 6566.80221875
transcript.pyannote[1078].end 6568.37159375
transcript.pyannote[1079].speaker SPEAKER_24
transcript.pyannote[1079].start 6569.60346875
transcript.pyannote[1079].end 6570.26159375
transcript.pyannote[1080].speaker SPEAKER_24
transcript.pyannote[1080].start 6570.98721875
transcript.pyannote[1080].end 6574.12596875
transcript.pyannote[1081].speaker SPEAKER_24
transcript.pyannote[1081].start 6574.88534375
transcript.pyannote[1081].end 6576.42096875
transcript.pyannote[1082].speaker SPEAKER_20
transcript.pyannote[1082].start 6577.77096875
transcript.pyannote[1082].end 6581.14596875
transcript.pyannote[1083].speaker SPEAKER_20
transcript.pyannote[1083].start 6581.29784375
transcript.pyannote[1083].end 6586.81596875
transcript.pyannote[1084].speaker SPEAKER_24
transcript.pyannote[1084].start 6585.82034375
transcript.pyannote[1084].end 6587.54159375
transcript.pyannote[1085].speaker SPEAKER_24
transcript.pyannote[1085].start 6588.30096875
transcript.pyannote[1085].end 6589.04346875
transcript.pyannote[1086].speaker SPEAKER_24
transcript.pyannote[1086].start 6589.93784375
transcript.pyannote[1086].end 6590.88284375
transcript.pyannote[1087].speaker SPEAKER_24
transcript.pyannote[1087].start 6591.16971875
transcript.pyannote[1087].end 6591.72659375
transcript.pyannote[1088].speaker SPEAKER_24
transcript.pyannote[1088].start 6592.40159375
transcript.pyannote[1088].end 6593.41409375
transcript.pyannote[1089].speaker SPEAKER_24
transcript.pyannote[1089].start 6594.07221875
transcript.pyannote[1089].end 6595.21971875
transcript.pyannote[1090].speaker SPEAKER_24
transcript.pyannote[1090].start 6595.70909375
transcript.pyannote[1090].end 6596.56971875
transcript.pyannote[1091].speaker SPEAKER_24
transcript.pyannote[1091].start 6597.29534375
transcript.pyannote[1091].end 6599.08409375
transcript.pyannote[1092].speaker SPEAKER_23
transcript.pyannote[1092].start 6599.11784375
transcript.pyannote[1092].end 6599.53971875
transcript.pyannote[1093].speaker SPEAKER_24
transcript.pyannote[1093].start 6600.53534375
transcript.pyannote[1093].end 6606.96471875
transcript.pyannote[1094].speaker SPEAKER_24
transcript.pyannote[1094].start 6607.67346875
transcript.pyannote[1094].end 6609.00659375
transcript.pyannote[1095].speaker SPEAKER_24
transcript.pyannote[1095].start 6609.56346875
transcript.pyannote[1095].end 6611.30159375
transcript.pyannote[1096].speaker SPEAKER_20
transcript.pyannote[1096].start 6610.45784375
transcript.pyannote[1096].end 6619.14846875
transcript.pyannote[1097].speaker SPEAKER_24
transcript.pyannote[1097].start 6619.21596875
transcript.pyannote[1097].end 6629.27346875
transcript.pyannote[1098].speaker SPEAKER_24
transcript.pyannote[1098].start 6629.77971875
transcript.pyannote[1098].end 6636.15846875
transcript.pyannote[1099].speaker SPEAKER_24
transcript.pyannote[1099].start 6637.13721875
transcript.pyannote[1099].end 6641.57534375
transcript.pyannote[1100].speaker SPEAKER_20
transcript.pyannote[1100].start 6641.57534375
transcript.pyannote[1100].end 6642.01409375
transcript.pyannote[1101].speaker SPEAKER_24
transcript.pyannote[1101].start 6642.01409375
transcript.pyannote[1101].end 6642.68909375
transcript.pyannote[1102].speaker SPEAKER_24
transcript.pyannote[1102].start 6643.70159375
transcript.pyannote[1102].end 6655.75034375
transcript.pyannote[1103].speaker SPEAKER_24
transcript.pyannote[1103].start 6656.39159375
transcript.pyannote[1103].end 6657.58971875
transcript.pyannote[1104].speaker SPEAKER_24
transcript.pyannote[1104].start 6659.12534375
transcript.pyannote[1104].end 6663.52971875
transcript.pyannote[1105].speaker SPEAKER_24
transcript.pyannote[1105].start 6663.58034375
transcript.pyannote[1105].end 6665.58846875
transcript.pyannote[1106].speaker SPEAKER_24
transcript.pyannote[1106].start 6666.16221875
transcript.pyannote[1106].end 6667.61346875
transcript.pyannote[1107].speaker SPEAKER_24
transcript.pyannote[1107].start 6668.28846875
transcript.pyannote[1107].end 6676.23659375
transcript.pyannote[1108].speaker SPEAKER_24
transcript.pyannote[1108].start 6677.80596875
transcript.pyannote[1108].end 6678.76784375
transcript.pyannote[1109].speaker SPEAKER_20
transcript.pyannote[1109].start 6678.76784375
transcript.pyannote[1109].end 6679.07159375
transcript.pyannote[1110].speaker SPEAKER_24
transcript.pyannote[1110].start 6679.07159375
transcript.pyannote[1110].end 6681.18096875
transcript.pyannote[1111].speaker SPEAKER_20
transcript.pyannote[1111].start 6681.36659375
transcript.pyannote[1111].end 6681.38346875
transcript.pyannote[1112].speaker SPEAKER_24
transcript.pyannote[1112].start 6681.38346875
transcript.pyannote[1112].end 6681.75471875
transcript.pyannote[1113].speaker SPEAKER_20
transcript.pyannote[1113].start 6681.75471875
transcript.pyannote[1113].end 6681.77159375
transcript.pyannote[1114].speaker SPEAKER_23
transcript.pyannote[1114].start 6681.77159375
transcript.pyannote[1114].end 6681.78846875
transcript.pyannote[1115].speaker SPEAKER_24
transcript.pyannote[1115].start 6682.15971875
transcript.pyannote[1115].end 6683.42534375
transcript.pyannote[1116].speaker SPEAKER_24
transcript.pyannote[1116].start 6684.82596875
transcript.pyannote[1116].end 6686.12534375
transcript.pyannote[1117].speaker SPEAKER_24
transcript.pyannote[1117].start 6686.76659375
transcript.pyannote[1117].end 6690.39471875
transcript.pyannote[1118].speaker SPEAKER_24
transcript.pyannote[1118].start 6691.71096875
transcript.pyannote[1118].end 6713.07471875
transcript.pyannote[1119].speaker SPEAKER_24
transcript.pyannote[1119].start 6714.08721875
transcript.pyannote[1119].end 6719.47034375
transcript.pyannote[1120].speaker SPEAKER_24
transcript.pyannote[1120].start 6720.60096875
transcript.pyannote[1120].end 6724.24596875
transcript.pyannote[1121].speaker SPEAKER_24
transcript.pyannote[1121].start 6726.59159375
transcript.pyannote[1121].end 6727.82346875
transcript.pyannote[1122].speaker SPEAKER_24
transcript.pyannote[1122].start 6728.51534375
transcript.pyannote[1122].end 6730.28721875
transcript.pyannote[1123].speaker SPEAKER_24
transcript.pyannote[1123].start 6730.50659375
transcript.pyannote[1123].end 6732.39659375
transcript.pyannote[1124].speaker SPEAKER_24
transcript.pyannote[1124].start 6733.61159375
transcript.pyannote[1124].end 6734.64096875
transcript.pyannote[1125].speaker SPEAKER_24
transcript.pyannote[1125].start 6735.21471875
transcript.pyannote[1125].end 6737.88096875
transcript.pyannote[1126].speaker SPEAKER_24
transcript.pyannote[1126].start 6738.38721875
transcript.pyannote[1126].end 6741.89721875
transcript.pyannote[1127].speaker SPEAKER_24
transcript.pyannote[1127].start 6742.94346875
transcript.pyannote[1127].end 6743.68596875
transcript.pyannote[1128].speaker SPEAKER_24
transcript.pyannote[1128].start 6743.80409375
transcript.pyannote[1128].end 6745.08659375
transcript.pyannote[1129].speaker SPEAKER_20
transcript.pyannote[1129].start 6745.08659375
transcript.pyannote[1129].end 6745.10346875
transcript.pyannote[1130].speaker SPEAKER_24
transcript.pyannote[1130].start 6745.79534375
transcript.pyannote[1130].end 6745.81221875
transcript.pyannote[1131].speaker SPEAKER_20
transcript.pyannote[1131].start 6745.81221875
transcript.pyannote[1131].end 6746.36909375
transcript.pyannote[1132].speaker SPEAKER_20
transcript.pyannote[1132].start 6746.79096875
transcript.pyannote[1132].end 6749.99721875
transcript.pyannote[1133].speaker SPEAKER_20
transcript.pyannote[1133].start 6750.38534375
transcript.pyannote[1133].end 6753.18659375
transcript.pyannote[1134].speaker SPEAKER_20
transcript.pyannote[1134].start 6753.49034375
transcript.pyannote[1134].end 6757.77659375
transcript.pyannote[1135].speaker SPEAKER_20
transcript.pyannote[1135].start 6758.01284375
transcript.pyannote[1135].end 6759.39659375
transcript.pyannote[1136].speaker SPEAKER_24
transcript.pyannote[1136].start 6759.68346875
transcript.pyannote[1136].end 6759.73409375
transcript.pyannote[1137].speaker SPEAKER_20
transcript.pyannote[1137].start 6759.73409375
transcript.pyannote[1137].end 6759.80159375
transcript.pyannote[1138].speaker SPEAKER_24
transcript.pyannote[1138].start 6759.80159375
transcript.pyannote[1138].end 6759.85221875
transcript.pyannote[1139].speaker SPEAKER_20
transcript.pyannote[1139].start 6760.42596875
transcript.pyannote[1139].end 6763.02471875
transcript.pyannote[1140].speaker SPEAKER_24
transcript.pyannote[1140].start 6761.77596875
transcript.pyannote[1140].end 6767.80034375
transcript.pyannote[1141].speaker SPEAKER_23
transcript.pyannote[1141].start 6764.07096875
transcript.pyannote[1141].end 6764.15534375
transcript.pyannote[1142].speaker SPEAKER_20
transcript.pyannote[1142].start 6764.15534375
transcript.pyannote[1142].end 6764.67846875
transcript.pyannote[1143].speaker SPEAKER_23
transcript.pyannote[1143].start 6764.67846875
transcript.pyannote[1143].end 6764.69534375
transcript.pyannote[1144].speaker SPEAKER_24
transcript.pyannote[1144].start 6768.07034375
transcript.pyannote[1144].end 6770.98971875
transcript.pyannote[1145].speaker SPEAKER_20
transcript.pyannote[1145].start 6770.88846875
transcript.pyannote[1145].end 6770.92221875
transcript.pyannote[1146].speaker SPEAKER_20
transcript.pyannote[1146].start 6770.98971875
transcript.pyannote[1146].end 6771.37784375
transcript.pyannote[1147].speaker SPEAKER_20
transcript.pyannote[1147].start 6771.54659375
transcript.pyannote[1147].end 6771.85034375
transcript.pyannote[1148].speaker SPEAKER_24
transcript.pyannote[1148].start 6771.85034375
transcript.pyannote[1148].end 6773.89221875
transcript.pyannote[1149].speaker SPEAKER_24
transcript.pyannote[1149].start 6774.39846875
transcript.pyannote[1149].end 6775.56284375
transcript.pyannote[1150].speaker SPEAKER_20
transcript.pyannote[1150].start 6775.95096875
transcript.pyannote[1150].end 6776.47409375
transcript.pyannote[1151].speaker SPEAKER_24
transcript.pyannote[1151].start 6776.47409375
transcript.pyannote[1151].end 6780.92909375
transcript.pyannote[1152].speaker SPEAKER_20
transcript.pyannote[1152].start 6776.49096875
transcript.pyannote[1152].end 6776.96346875
transcript.pyannote[1153].speaker SPEAKER_20
transcript.pyannote[1153].start 6778.11096875
transcript.pyannote[1153].end 6778.88721875
transcript.pyannote[1154].speaker SPEAKER_23
transcript.pyannote[1154].start 6778.88721875
transcript.pyannote[1154].end 6778.93784375
transcript.pyannote[1155].speaker SPEAKER_24
transcript.pyannote[1155].start 6781.40159375
transcript.pyannote[1155].end 6789.11346875
transcript.pyannote[1156].speaker SPEAKER_23
transcript.pyannote[1156].start 6789.16409375
transcript.pyannote[1156].end 6789.33284375
transcript.pyannote[1157].speaker SPEAKER_24
transcript.pyannote[1157].start 6790.14284375
transcript.pyannote[1157].end 6791.23971875
transcript.pyannote[1158].speaker SPEAKER_24
transcript.pyannote[1158].start 6791.69534375
transcript.pyannote[1158].end 6796.97721875
transcript.pyannote[1159].speaker SPEAKER_20
transcript.pyannote[1159].start 6796.48784375
transcript.pyannote[1159].end 6799.00221875
transcript.pyannote[1160].speaker SPEAKER_24
transcript.pyannote[1160].start 6798.78284375
transcript.pyannote[1160].end 6816.43409375
transcript.pyannote[1161].speaker SPEAKER_24
transcript.pyannote[1161].start 6816.73784375
transcript.pyannote[1161].end 6817.90221875
transcript.pyannote[1162].speaker SPEAKER_24
transcript.pyannote[1162].start 6818.20596875
transcript.pyannote[1162].end 6819.62346875
transcript.pyannote[1163].speaker SPEAKER_24
transcript.pyannote[1163].start 6820.65284375
transcript.pyannote[1163].end 6825.52971875
transcript.pyannote[1164].speaker SPEAKER_20
transcript.pyannote[1164].start 6823.18409375
transcript.pyannote[1164].end 6823.55534375
transcript.pyannote[1165].speaker SPEAKER_24
transcript.pyannote[1165].start 6825.88409375
transcript.pyannote[1165].end 6827.33534375
transcript.pyannote[1166].speaker SPEAKER_20
transcript.pyannote[1166].start 6827.33534375
transcript.pyannote[1166].end 6827.50409375
transcript.pyannote[1167].speaker SPEAKER_24
transcript.pyannote[1167].start 6828.07784375
transcript.pyannote[1167].end 6829.49534375
transcript.pyannote[1168].speaker SPEAKER_24
transcript.pyannote[1168].start 6829.74846875
transcript.pyannote[1168].end 6832.66784375
transcript.pyannote[1169].speaker SPEAKER_20
transcript.pyannote[1169].start 6829.76534375
transcript.pyannote[1169].end 6829.84971875
transcript.pyannote[1170].speaker SPEAKER_23
transcript.pyannote[1170].start 6829.84971875
transcript.pyannote[1170].end 6829.91721875
transcript.pyannote[1171].speaker SPEAKER_20
transcript.pyannote[1171].start 6829.91721875
transcript.pyannote[1171].end 6829.93409375
transcript.pyannote[1172].speaker SPEAKER_24
transcript.pyannote[1172].start 6833.29221875
transcript.pyannote[1172].end 6836.29596875
transcript.pyannote[1173].speaker SPEAKER_24
transcript.pyannote[1173].start 6837.02159375
transcript.pyannote[1173].end 6838.89471875
transcript.pyannote[1174].speaker SPEAKER_23
transcript.pyannote[1174].start 6837.05534375
transcript.pyannote[1174].end 6837.20721875
transcript.pyannote[1175].speaker SPEAKER_12
transcript.pyannote[1175].start 6837.20721875
transcript.pyannote[1175].end 6837.24096875
transcript.pyannote[1176].speaker SPEAKER_24
transcript.pyannote[1176].start 6839.41784375
transcript.pyannote[1176].end 6850.62284375
transcript.pyannote[1177].speaker SPEAKER_20
transcript.pyannote[1177].start 6848.71596875
transcript.pyannote[1177].end 6853.35659375
transcript.pyannote[1178].speaker SPEAKER_24
transcript.pyannote[1178].start 6851.66909375
transcript.pyannote[1178].end 6852.22596875
transcript.pyannote[1179].speaker SPEAKER_28
transcript.pyannote[1179].start 6860.64659375
transcript.pyannote[1179].end 6862.58721875
transcript.pyannote[1180].speaker SPEAKER_21
transcript.pyannote[1180].start 6872.34096875
transcript.pyannote[1180].end 6873.50534375
transcript.pyannote[1181].speaker SPEAKER_21
transcript.pyannote[1181].start 6874.50096875
transcript.pyannote[1181].end 6877.13346875
transcript.pyannote[1182].speaker SPEAKER_21
transcript.pyannote[1182].start 6877.60596875
transcript.pyannote[1182].end 6878.51721875
transcript.pyannote[1183].speaker SPEAKER_21
transcript.pyannote[1183].start 6879.29346875
transcript.pyannote[1183].end 6880.05284375
transcript.pyannote[1184].speaker SPEAKER_23
transcript.pyannote[1184].start 6885.36846875
transcript.pyannote[1184].end 6886.14471875
transcript.pyannote[1185].speaker SPEAKER_21
transcript.pyannote[1185].start 6885.41909375
transcript.pyannote[1185].end 6885.90846875
transcript.pyannote[1186].speaker SPEAKER_21
transcript.pyannote[1186].start 6886.65096875
transcript.pyannote[1186].end 6887.17409375
transcript.pyannote[1187].speaker SPEAKER_21
transcript.pyannote[1187].start 6887.86596875
transcript.pyannote[1187].end 6890.17784375
transcript.pyannote[1188].speaker SPEAKER_21
transcript.pyannote[1188].start 6890.43096875
transcript.pyannote[1188].end 6895.72971875
transcript.pyannote[1189].speaker SPEAKER_21
transcript.pyannote[1189].start 6895.98284375
transcript.pyannote[1189].end 6901.12971875
transcript.pyannote[1190].speaker SPEAKER_20
transcript.pyannote[1190].start 6902.42909375
transcript.pyannote[1190].end 6903.34034375
transcript.pyannote[1191].speaker SPEAKER_20
transcript.pyannote[1191].start 6904.40346875
transcript.pyannote[1191].end 6904.74096875
transcript.pyannote[1192].speaker SPEAKER_20
transcript.pyannote[1192].start 6907.57596875
transcript.pyannote[1192].end 6909.01034375
transcript.pyannote[1193].speaker SPEAKER_10
transcript.pyannote[1193].start 6912.36846875
transcript.pyannote[1193].end 6929.04096875
transcript.pyannote[1194].speaker SPEAKER_10
transcript.pyannote[1194].start 6929.17596875
transcript.pyannote[1194].end 6929.27721875
transcript.pyannote[1195].speaker SPEAKER_21
transcript.pyannote[1195].start 6929.27721875
transcript.pyannote[1195].end 6929.39534375
transcript.pyannote[1196].speaker SPEAKER_10
transcript.pyannote[1196].start 6929.39534375
transcript.pyannote[1196].end 6933.73221875
transcript.pyannote[1197].speaker SPEAKER_21
transcript.pyannote[1197].start 6933.46221875
transcript.pyannote[1197].end 6937.22534375
transcript.pyannote[1198].speaker SPEAKER_10
transcript.pyannote[1198].start 6938.47409375
transcript.pyannote[1198].end 6945.13971875
transcript.pyannote[1199].speaker SPEAKER_21
transcript.pyannote[1199].start 6946.96221875
transcript.pyannote[1199].end 6949.22346875
transcript.pyannote[1200].speaker SPEAKER_10
transcript.pyannote[1200].start 6948.51471875
transcript.pyannote[1200].end 6948.81846875
transcript.pyannote[1201].speaker SPEAKER_21
transcript.pyannote[1201].start 6949.64534375
transcript.pyannote[1201].end 6952.69971875
transcript.pyannote[1202].speaker SPEAKER_10
transcript.pyannote[1202].start 6949.71284375
transcript.pyannote[1202].end 6951.21471875
transcript.pyannote[1203].speaker SPEAKER_10
transcript.pyannote[1203].start 6958.11659375
transcript.pyannote[1203].end 6959.14596875
transcript.pyannote[1204].speaker SPEAKER_21
transcript.pyannote[1204].start 6959.83784375
transcript.pyannote[1204].end 6961.27221875
transcript.pyannote[1205].speaker SPEAKER_21
transcript.pyannote[1205].start 6961.57596875
transcript.pyannote[1205].end 6964.20846875
transcript.pyannote[1206].speaker SPEAKER_21
transcript.pyannote[1206].start 6964.57971875
transcript.pyannote[1206].end 6966.14909375
transcript.pyannote[1207].speaker SPEAKER_21
transcript.pyannote[1207].start 6966.45284375
transcript.pyannote[1207].end 6968.35971875
transcript.pyannote[1208].speaker SPEAKER_23
transcript.pyannote[1208].start 6969.22034375
transcript.pyannote[1208].end 6969.52409375
transcript.pyannote[1209].speaker SPEAKER_21
transcript.pyannote[1209].start 6969.86159375
transcript.pyannote[1209].end 6972.35909375
transcript.pyannote[1210].speaker SPEAKER_10
transcript.pyannote[1210].start 6972.84846875
transcript.pyannote[1210].end 6974.24909375
transcript.pyannote[1211].speaker SPEAKER_21
transcript.pyannote[1211].start 6973.27034375
transcript.pyannote[1211].end 6976.64534375
transcript.pyannote[1212].speaker SPEAKER_23
transcript.pyannote[1212].start 6974.24909375
transcript.pyannote[1212].end 6974.26596875
transcript.pyannote[1213].speaker SPEAKER_10
transcript.pyannote[1213].start 6975.22784375
transcript.pyannote[1213].end 6979.21034375
transcript.pyannote[1214].speaker SPEAKER_21
transcript.pyannote[1214].start 6978.28221875
transcript.pyannote[1214].end 6979.49721875
transcript.pyannote[1215].speaker SPEAKER_10
transcript.pyannote[1215].start 6979.49721875
transcript.pyannote[1215].end 6983.39534375
transcript.pyannote[1216].speaker SPEAKER_10
transcript.pyannote[1216].start 6983.71596875
transcript.pyannote[1216].end 6984.03659375
transcript.pyannote[1217].speaker SPEAKER_21
transcript.pyannote[1217].start 6984.03659375
transcript.pyannote[1217].end 6984.96471875
transcript.pyannote[1218].speaker SPEAKER_10
transcript.pyannote[1218].start 6984.96471875
transcript.pyannote[1218].end 6985.03221875
transcript.pyannote[1219].speaker SPEAKER_21
transcript.pyannote[1219].start 6985.03221875
transcript.pyannote[1219].end 6985.06596875
transcript.pyannote[1220].speaker SPEAKER_10
transcript.pyannote[1220].start 6985.06596875
transcript.pyannote[1220].end 6985.85909375
transcript.pyannote[1221].speaker SPEAKER_21
transcript.pyannote[1221].start 6985.85909375
transcript.pyannote[1221].end 6985.97721875
transcript.pyannote[1222].speaker SPEAKER_10
transcript.pyannote[1222].start 6985.97721875
transcript.pyannote[1222].end 6992.72721875
transcript.pyannote[1223].speaker SPEAKER_10
transcript.pyannote[1223].start 6993.43596875
transcript.pyannote[1223].end 6993.45284375
transcript.pyannote[1224].speaker SPEAKER_21
transcript.pyannote[1224].start 6993.45284375
transcript.pyannote[1224].end 6993.68909375
transcript.pyannote[1225].speaker SPEAKER_10
transcript.pyannote[1225].start 6993.68909375
transcript.pyannote[1225].end 6997.14846875
transcript.pyannote[1226].speaker SPEAKER_21
transcript.pyannote[1226].start 6994.21221875
transcript.pyannote[1226].end 6998.81909375
transcript.pyannote[1227].speaker SPEAKER_21
transcript.pyannote[1227].start 7004.96159375
transcript.pyannote[1227].end 7005.97409375
transcript.pyannote[1228].speaker SPEAKER_21
transcript.pyannote[1228].start 7006.46346875
transcript.pyannote[1228].end 7008.70784375
transcript.pyannote[1229].speaker SPEAKER_21
transcript.pyannote[1229].start 7009.24784375
transcript.pyannote[1229].end 7029.44721875
transcript.pyannote[1230].speaker SPEAKER_21
transcript.pyannote[1230].start 7029.76784375
transcript.pyannote[1230].end 7031.43846875
transcript.pyannote[1231].speaker SPEAKER_21
transcript.pyannote[1231].start 7031.59034375
transcript.pyannote[1231].end 7033.91909375
transcript.pyannote[1232].speaker SPEAKER_21
transcript.pyannote[1232].start 7034.15534375
transcript.pyannote[1232].end 7036.09596875
transcript.pyannote[1233].speaker SPEAKER_23
transcript.pyannote[1233].start 7035.70784375
transcript.pyannote[1233].end 7036.43346875
transcript.pyannote[1234].speaker SPEAKER_21
transcript.pyannote[1234].start 7036.75409375
transcript.pyannote[1234].end 7038.84659375
transcript.pyannote[1235].speaker SPEAKER_21
transcript.pyannote[1235].start 7040.85471875
transcript.pyannote[1235].end 7041.37784375
transcript.pyannote[1236].speaker SPEAKER_10
transcript.pyannote[1236].start 7042.22159375
transcript.pyannote[1236].end 7055.77221875
transcript.pyannote[1237].speaker SPEAKER_21
transcript.pyannote[1237].start 7056.22784375
transcript.pyannote[1237].end 7056.51471875
transcript.pyannote[1238].speaker SPEAKER_21
transcript.pyannote[1238].start 7056.95346875
transcript.pyannote[1238].end 7058.99534375
transcript.pyannote[1239].speaker SPEAKER_21
transcript.pyannote[1239].start 7059.45096875
transcript.pyannote[1239].end 7064.31096875
transcript.pyannote[1240].speaker SPEAKER_21
transcript.pyannote[1240].start 7064.44596875
transcript.pyannote[1240].end 7065.22221875
transcript.pyannote[1241].speaker SPEAKER_21
transcript.pyannote[1241].start 7065.84659375
transcript.pyannote[1241].end 7083.17721875
transcript.pyannote[1242].speaker SPEAKER_21
transcript.pyannote[1242].start 7083.61596875
transcript.pyannote[1242].end 7084.15596875
transcript.pyannote[1243].speaker SPEAKER_21
transcript.pyannote[1243].start 7084.45971875
transcript.pyannote[1243].end 7091.73284375
transcript.pyannote[1244].speaker SPEAKER_21
transcript.pyannote[1244].start 7091.90159375
transcript.pyannote[1244].end 7103.76471875
transcript.pyannote[1245].speaker SPEAKER_21
transcript.pyannote[1245].start 7104.52409375
transcript.pyannote[1245].end 7105.97534375
transcript.pyannote[1246].speaker SPEAKER_21
transcript.pyannote[1246].start 7107.15659375
transcript.pyannote[1246].end 7108.18596875
transcript.pyannote[1247].speaker SPEAKER_20
transcript.pyannote[1247].start 7108.18596875
transcript.pyannote[1247].end 7109.09721875
transcript.pyannote[1248].speaker SPEAKER_21
transcript.pyannote[1248].start 7108.20284375
transcript.pyannote[1248].end 7108.21971875
transcript.pyannote[1249].speaker SPEAKER_21
transcript.pyannote[1249].start 7108.91159375
transcript.pyannote[1249].end 7110.17721875
transcript.pyannote[1250].speaker SPEAKER_21
transcript.pyannote[1250].start 7110.19409375
transcript.pyannote[1250].end 7110.21096875
transcript.pyannote[1251].speaker SPEAKER_20
transcript.pyannote[1251].start 7110.21096875
transcript.pyannote[1251].end 7111.29096875
transcript.pyannote[1252].speaker SPEAKER_21
transcript.pyannote[1252].start 7110.66659375
transcript.pyannote[1252].end 7116.72471875
transcript.pyannote[1253].speaker SPEAKER_22
transcript.pyannote[1253].start 7117.01159375
transcript.pyannote[1253].end 7124.20034375
transcript.pyannote[1254].speaker SPEAKER_22
transcript.pyannote[1254].start 7124.26784375
transcript.pyannote[1254].end 7128.19971875
transcript.pyannote[1255].speaker SPEAKER_21
transcript.pyannote[1255].start 7127.71034375
transcript.pyannote[1255].end 7131.32159375
transcript.pyannote[1256].speaker SPEAKER_22
transcript.pyannote[1256].start 7131.70971875
transcript.pyannote[1256].end 7139.42159375
transcript.pyannote[1257].speaker SPEAKER_21
transcript.pyannote[1257].start 7136.87346875
transcript.pyannote[1257].end 7142.62784375
transcript.pyannote[1258].speaker SPEAKER_22
transcript.pyannote[1258].start 7139.70846875
transcript.pyannote[1258].end 7140.90659375
transcript.pyannote[1259].speaker SPEAKER_22
transcript.pyannote[1259].start 7142.77971875
transcript.pyannote[1259].end 7145.63159375
transcript.pyannote[1260].speaker SPEAKER_21
transcript.pyannote[1260].start 7147.15034375
transcript.pyannote[1260].end 7149.04034375
transcript.pyannote[1261].speaker SPEAKER_21
transcript.pyannote[1261].start 7149.42846875
transcript.pyannote[1261].end 7152.02721875
transcript.pyannote[1262].speaker SPEAKER_20
transcript.pyannote[1262].start 7152.53346875
transcript.pyannote[1262].end 7153.36034375
transcript.pyannote[1263].speaker SPEAKER_21
transcript.pyannote[1263].start 7153.36034375
transcript.pyannote[1263].end 7155.03096875
transcript.pyannote[1264].speaker SPEAKER_17
transcript.pyannote[1264].start 7155.03096875
transcript.pyannote[1264].end 7155.08159375
transcript.pyannote[1265].speaker SPEAKER_17
transcript.pyannote[1265].start 7155.14909375
transcript.pyannote[1265].end 7170.10034375
transcript.pyannote[1266].speaker SPEAKER_08
transcript.pyannote[1266].start 7161.52784375
transcript.pyannote[1266].end 7162.23659375
transcript.pyannote[1267].speaker SPEAKER_21
transcript.pyannote[1267].start 7170.15096875
transcript.pyannote[1267].end 7173.66096875
transcript.pyannote[1268].speaker SPEAKER_17
transcript.pyannote[1268].start 7173.66096875
transcript.pyannote[1268].end 7173.77909375
transcript.pyannote[1269].speaker SPEAKER_23
transcript.pyannote[1269].start 7173.77909375
transcript.pyannote[1269].end 7173.86346875
transcript.pyannote[1270].speaker SPEAKER_21
transcript.pyannote[1270].start 7174.35284375
transcript.pyannote[1270].end 7178.18346875
transcript.pyannote[1271].speaker SPEAKER_21
transcript.pyannote[1271].start 7178.53784375
transcript.pyannote[1271].end 7180.61346875
transcript.pyannote[1272].speaker SPEAKER_21
transcript.pyannote[1272].start 7181.08596875
transcript.pyannote[1272].end 7225.07909375
transcript.pyannote[1273].speaker SPEAKER_21
transcript.pyannote[1273].start 7225.92284375
transcript.pyannote[1273].end 7226.98596875
transcript.pyannote[1274].speaker SPEAKER_21
transcript.pyannote[1274].start 7227.91409375
transcript.pyannote[1274].end 7230.17534375
transcript.pyannote[1275].speaker SPEAKER_21
transcript.pyannote[1275].start 7231.25534375
transcript.pyannote[1275].end 7235.59221875
transcript.pyannote[1276].speaker SPEAKER_21
transcript.pyannote[1276].start 7235.65971875
transcript.pyannote[1276].end 7236.14909375
transcript.pyannote[1277].speaker SPEAKER_21
transcript.pyannote[1277].start 7236.41909375
transcript.pyannote[1277].end 7237.17846875
transcript.pyannote[1278].speaker SPEAKER_21
transcript.pyannote[1278].start 7237.53284375
transcript.pyannote[1278].end 7238.49471875
transcript.pyannote[1279].speaker SPEAKER_21
transcript.pyannote[1279].start 7238.79846875
transcript.pyannote[1279].end 7241.66721875
transcript.pyannote[1280].speaker SPEAKER_21
transcript.pyannote[1280].start 7242.29159375
transcript.pyannote[1280].end 7246.25721875
transcript.pyannote[1281].speaker SPEAKER_21
transcript.pyannote[1281].start 7246.40909375
transcript.pyannote[1281].end 7251.67409375
transcript.pyannote[1282].speaker SPEAKER_21
transcript.pyannote[1282].start 7252.02846875
transcript.pyannote[1282].end 7254.55971875
transcript.pyannote[1283].speaker SPEAKER_21
transcript.pyannote[1283].start 7255.06596875
transcript.pyannote[1283].end 7256.34846875
transcript.pyannote[1284].speaker SPEAKER_22
transcript.pyannote[1284].start 7256.34846875
transcript.pyannote[1284].end 7257.52971875
transcript.pyannote[1285].speaker SPEAKER_21
transcript.pyannote[1285].start 7256.98971875
transcript.pyannote[1285].end 7258.67721875
transcript.pyannote[1286].speaker SPEAKER_22
transcript.pyannote[1286].start 7258.94721875
transcript.pyannote[1286].end 7259.38596875
transcript.pyannote[1287].speaker SPEAKER_22
transcript.pyannote[1287].start 7260.46596875
transcript.pyannote[1287].end 7264.07721875
transcript.pyannote[1288].speaker SPEAKER_21
transcript.pyannote[1288].start 7260.51659375
transcript.pyannote[1288].end 7262.65971875
transcript.pyannote[1289].speaker SPEAKER_21
transcript.pyannote[1289].start 7264.51596875
transcript.pyannote[1289].end 7269.56159375
transcript.pyannote[1290].speaker SPEAKER_21
transcript.pyannote[1290].start 7269.71346875
transcript.pyannote[1290].end 7269.84846875
transcript.pyannote[1291].speaker SPEAKER_22
transcript.pyannote[1291].start 7269.84846875
transcript.pyannote[1291].end 7273.03784375
transcript.pyannote[1292].speaker SPEAKER_21
transcript.pyannote[1292].start 7270.16909375
transcript.pyannote[1292].end 7282.20096875
transcript.pyannote[1293].speaker SPEAKER_23
transcript.pyannote[1293].start 7273.03784375
transcript.pyannote[1293].end 7273.45971875
transcript.pyannote[1294].speaker SPEAKER_22
transcript.pyannote[1294].start 7273.45971875
transcript.pyannote[1294].end 7273.67909375
transcript.pyannote[1295].speaker SPEAKER_21
transcript.pyannote[1295].start 7282.48784375
transcript.pyannote[1295].end 7286.04846875
transcript.pyannote[1296].speaker SPEAKER_21
transcript.pyannote[1296].start 7286.13284375
transcript.pyannote[1296].end 7286.70659375
transcript.pyannote[1297].speaker SPEAKER_22
transcript.pyannote[1297].start 7287.33096875
transcript.pyannote[1297].end 7292.12346875
transcript.pyannote[1298].speaker SPEAKER_21
transcript.pyannote[1298].start 7289.64284375
transcript.pyannote[1298].end 7289.99721875
transcript.pyannote[1299].speaker SPEAKER_21
transcript.pyannote[1299].start 7292.51159375
transcript.pyannote[1299].end 7295.66721875
transcript.pyannote[1300].speaker SPEAKER_22
transcript.pyannote[1300].start 7295.75159375
transcript.pyannote[1300].end 7301.01659375
transcript.pyannote[1301].speaker SPEAKER_21
transcript.pyannote[1301].start 7301.18534375
transcript.pyannote[1301].end 7301.69159375
transcript.pyannote[1302].speaker SPEAKER_21
transcript.pyannote[1302].start 7302.45096875
transcript.pyannote[1302].end 7306.34909375
transcript.pyannote[1303].speaker SPEAKER_22
transcript.pyannote[1303].start 7307.37846875
transcript.pyannote[1303].end 7311.78284375
transcript.pyannote[1304].speaker SPEAKER_22
transcript.pyannote[1304].start 7312.25534375
transcript.pyannote[1304].end 7315.02284375
transcript.pyannote[1305].speaker SPEAKER_21
transcript.pyannote[1305].start 7313.72346875
transcript.pyannote[1305].end 7315.73159375
transcript.pyannote[1306].speaker SPEAKER_21
transcript.pyannote[1306].start 7316.45721875
transcript.pyannote[1306].end 7316.86221875
transcript.pyannote[1307].speaker SPEAKER_21
transcript.pyannote[1307].start 7317.45284375
transcript.pyannote[1307].end 7324.01721875
transcript.pyannote[1308].speaker SPEAKER_22
transcript.pyannote[1308].start 7317.52034375
transcript.pyannote[1308].end 7317.92534375
transcript.pyannote[1309].speaker SPEAKER_20
transcript.pyannote[1309].start 7317.92534375
transcript.pyannote[1309].end 7317.97596875
transcript.pyannote[1310].speaker SPEAKER_20
transcript.pyannote[1310].start 7324.01721875
transcript.pyannote[1310].end 7331.66159375
transcript.pyannote[1311].speaker SPEAKER_21
transcript.pyannote[1311].start 7324.48971875
transcript.pyannote[1311].end 7324.87784375
transcript.pyannote[1312].speaker SPEAKER_20
transcript.pyannote[1312].start 7331.94846875
transcript.pyannote[1312].end 7333.33221875
transcript.pyannote[1313].speaker SPEAKER_20
transcript.pyannote[1313].start 7333.43346875
transcript.pyannote[1313].end 7339.45784375
transcript.pyannote[1314].speaker SPEAKER_21
transcript.pyannote[1314].start 7338.52971875
transcript.pyannote[1314].end 7339.99784375
transcript.pyannote[1315].speaker SPEAKER_21
transcript.pyannote[1315].start 7340.18346875
transcript.pyannote[1315].end 7341.80346875
transcript.pyannote[1316].speaker SPEAKER_21
transcript.pyannote[1316].start 7342.03971875
transcript.pyannote[1316].end 7349.63346875
transcript.pyannote[1317].speaker SPEAKER_21
transcript.pyannote[1317].start 7350.13971875
transcript.pyannote[1317].end 7353.56534375
transcript.pyannote[1318].speaker SPEAKER_20
transcript.pyannote[1318].start 7353.97034375
transcript.pyannote[1318].end 7361.44596875
transcript.pyannote[1319].speaker SPEAKER_21
transcript.pyannote[1319].start 7354.76346875
transcript.pyannote[1319].end 7354.86471875
transcript.pyannote[1320].speaker SPEAKER_21
transcript.pyannote[1320].start 7360.78784375
transcript.pyannote[1320].end 7365.49596875
transcript.pyannote[1321].speaker SPEAKER_21
transcript.pyannote[1321].start 7365.64784375
transcript.pyannote[1321].end 7367.28471875
transcript.pyannote[1322].speaker SPEAKER_21
transcript.pyannote[1322].start 7368.39846875
transcript.pyannote[1322].end 7368.90471875
transcript.pyannote[1323].speaker SPEAKER_21
transcript.pyannote[1323].start 7369.19159375
transcript.pyannote[1323].end 7370.62596875
transcript.pyannote[1324].speaker SPEAKER_21
transcript.pyannote[1324].start 7372.06034375
transcript.pyannote[1324].end 7373.39346875
transcript.pyannote[1325].speaker SPEAKER_21
transcript.pyannote[1325].start 7374.05159375
transcript.pyannote[1325].end 7376.00909375
transcript.pyannote[1326].speaker SPEAKER_21
transcript.pyannote[1326].start 7376.22846875
transcript.pyannote[1326].end 7377.66284375
transcript.pyannote[1327].speaker SPEAKER_21
transcript.pyannote[1327].start 7378.06784375
transcript.pyannote[1327].end 7379.14784375
transcript.pyannote[1328].speaker SPEAKER_21
transcript.pyannote[1328].start 7379.56971875
transcript.pyannote[1328].end 7382.59034375
transcript.pyannote[1329].speaker SPEAKER_21
transcript.pyannote[1329].start 7383.04596875
transcript.pyannote[1329].end 7384.93596875
transcript.pyannote[1330].speaker SPEAKER_21
transcript.pyannote[1330].start 7385.45909375
transcript.pyannote[1330].end 7389.10409375
transcript.pyannote[1331].speaker SPEAKER_20
transcript.pyannote[1331].start 7388.54721875
transcript.pyannote[1331].end 7388.66534375
transcript.pyannote[1332].speaker SPEAKER_23
transcript.pyannote[1332].start 7388.66534375
transcript.pyannote[1332].end 7389.01971875
transcript.pyannote[1333].speaker SPEAKER_20
transcript.pyannote[1333].start 7389.01971875
transcript.pyannote[1333].end 7389.69471875
transcript.pyannote[1334].speaker SPEAKER_21
transcript.pyannote[1334].start 7389.69471875
transcript.pyannote[1334].end 7389.96471875
transcript.pyannote[1335].speaker SPEAKER_20
transcript.pyannote[1335].start 7389.96471875
transcript.pyannote[1335].end 7390.87596875
transcript.pyannote[1336].speaker SPEAKER_21
transcript.pyannote[1336].start 7390.87596875
transcript.pyannote[1336].end 7390.90971875
transcript.pyannote[1337].speaker SPEAKER_20
transcript.pyannote[1337].start 7390.90971875
transcript.pyannote[1337].end 7397.35596875
transcript.pyannote[1338].speaker SPEAKER_21
transcript.pyannote[1338].start 7391.41596875
transcript.pyannote[1338].end 7391.46659375
transcript.pyannote[1339].speaker SPEAKER_23
transcript.pyannote[1339].start 7391.46659375
transcript.pyannote[1339].end 7391.55096875
transcript.pyannote[1340].speaker SPEAKER_21
transcript.pyannote[1340].start 7391.55096875
transcript.pyannote[1340].end 7391.97284375
transcript.pyannote[1341].speaker SPEAKER_23
transcript.pyannote[1341].start 7391.97284375
transcript.pyannote[1341].end 7392.02346875
transcript.pyannote[1342].speaker SPEAKER_21
transcript.pyannote[1342].start 7392.02346875
transcript.pyannote[1342].end 7392.79971875
transcript.pyannote[1343].speaker SPEAKER_21
transcript.pyannote[1343].start 7393.08659375
transcript.pyannote[1343].end 7393.37346875
transcript.pyannote[1344].speaker SPEAKER_20
transcript.pyannote[1344].start 7397.45721875
transcript.pyannote[1344].end 7397.47409375
transcript.pyannote[1345].speaker SPEAKER_21
transcript.pyannote[1345].start 7397.47409375
transcript.pyannote[1345].end 7399.44846875
transcript.pyannote[1346].speaker SPEAKER_21
transcript.pyannote[1346].start 7400.64659375
transcript.pyannote[1346].end 7400.83221875
transcript.pyannote[1347].speaker SPEAKER_20
transcript.pyannote[1347].start 7400.83221875
transcript.pyannote[1347].end 7401.08534375
transcript.pyannote[1348].speaker SPEAKER_21
transcript.pyannote[1348].start 7401.08534375
transcript.pyannote[1348].end 7409.89409375
transcript.pyannote[1349].speaker SPEAKER_20
transcript.pyannote[1349].start 7404.02159375
transcript.pyannote[1349].end 7404.67971875
transcript.pyannote[1350].speaker SPEAKER_12
transcript.pyannote[1350].start 7410.36659375
transcript.pyannote[1350].end 7410.63659375
transcript.pyannote[1351].speaker SPEAKER_21
transcript.pyannote[1351].start 7410.41721875
transcript.pyannote[1351].end 7430.27909375
transcript.pyannote[1352].speaker SPEAKER_21
transcript.pyannote[1352].start 7430.80221875
transcript.pyannote[1352].end 7434.02534375
transcript.pyannote[1353].speaker SPEAKER_21
transcript.pyannote[1353].start 7434.31221875
transcript.pyannote[1353].end 7439.30721875
transcript.pyannote[1354].speaker SPEAKER_21
transcript.pyannote[1354].start 7439.99909375
transcript.pyannote[1354].end 7441.50096875
transcript.pyannote[1355].speaker SPEAKER_20
transcript.pyannote[1355].start 7440.67409375
transcript.pyannote[1355].end 7461.10971875
transcript.pyannote[1356].speaker SPEAKER_12
transcript.pyannote[1356].start 7449.38159375
transcript.pyannote[1356].end 7449.39846875
transcript.pyannote[1357].speaker SPEAKER_05
transcript.pyannote[1357].start 7449.39846875
transcript.pyannote[1357].end 7451.40659375
transcript.pyannote[1358].speaker SPEAKER_12
transcript.pyannote[1358].start 7451.40659375
transcript.pyannote[1358].end 7451.42346875
transcript.pyannote[1359].speaker SPEAKER_21
transcript.pyannote[1359].start 7461.10971875
transcript.pyannote[1359].end 7461.86909375
transcript.pyannote[1360].speaker SPEAKER_20
transcript.pyannote[1360].start 7461.86909375
transcript.pyannote[1360].end 7461.97034375
transcript.pyannote[1361].speaker SPEAKER_21
transcript.pyannote[1361].start 7461.97034375
transcript.pyannote[1361].end 7472.63534375
transcript.pyannote[1362].speaker SPEAKER_20
transcript.pyannote[1362].start 7466.35784375
transcript.pyannote[1362].end 7466.94846875
transcript.pyannote[1363].speaker SPEAKER_23
transcript.pyannote[1363].start 7466.94846875
transcript.pyannote[1363].end 7469.54721875
transcript.pyannote[1364].speaker SPEAKER_23
transcript.pyannote[1364].start 7472.21346875
transcript.pyannote[1364].end 7472.60159375
transcript.pyannote[1365].speaker SPEAKER_23
transcript.pyannote[1365].start 7472.63534375
transcript.pyannote[1365].end 7472.93909375
transcript.pyannote[1366].speaker SPEAKER_21
transcript.pyannote[1366].start 7472.93909375
transcript.pyannote[1366].end 7479.94221875
transcript.pyannote[1367].speaker SPEAKER_23
transcript.pyannote[1367].start 7472.95596875
transcript.pyannote[1367].end 7473.86721875
transcript.pyannote[1368].speaker SPEAKER_21
transcript.pyannote[1368].start 7480.24596875
transcript.pyannote[1368].end 7480.93784375
transcript.pyannote[1369].speaker SPEAKER_21
transcript.pyannote[1369].start 7481.44409375
transcript.pyannote[1369].end 7482.65909375
transcript.pyannote[1370].speaker SPEAKER_21
transcript.pyannote[1370].start 7482.77721875
transcript.pyannote[1370].end 7483.84034375
transcript.pyannote[1371].speaker SPEAKER_21
transcript.pyannote[1371].start 7484.44784375
transcript.pyannote[1371].end 7486.05096875
transcript.pyannote[1372].speaker SPEAKER_20
transcript.pyannote[1372].start 7486.05096875
transcript.pyannote[1372].end 7486.10159375
transcript.pyannote[1373].speaker SPEAKER_21
transcript.pyannote[1373].start 7486.10159375
transcript.pyannote[1373].end 7486.11846875
transcript.pyannote[1374].speaker SPEAKER_20
transcript.pyannote[1374].start 7486.62471875
transcript.pyannote[1374].end 7488.51471875
transcript.pyannote[1375].speaker SPEAKER_20
transcript.pyannote[1375].start 7489.45971875
transcript.pyannote[1375].end 7490.53971875
transcript.pyannote[1376].speaker SPEAKER_21
transcript.pyannote[1376].start 7490.53971875
transcript.pyannote[1376].end 7490.55659375
transcript.pyannote[1377].speaker SPEAKER_20
transcript.pyannote[1377].start 7491.04596875
transcript.pyannote[1377].end 7491.43409375
transcript.pyannote[1378].speaker SPEAKER_21
transcript.pyannote[1378].start 7492.19346875
transcript.pyannote[1378].end 7496.73284375
transcript.pyannote[1379].speaker SPEAKER_21
transcript.pyannote[1379].start 7497.18846875
transcript.pyannote[1379].end 7501.23846875
transcript.pyannote[1380].speaker SPEAKER_21
transcript.pyannote[1380].start 7501.76159375
transcript.pyannote[1380].end 7502.67284375
transcript.pyannote[1381].speaker SPEAKER_21
transcript.pyannote[1381].start 7502.72346875
transcript.pyannote[1381].end 7503.41534375
transcript.pyannote[1382].speaker SPEAKER_22
transcript.pyannote[1382].start 7504.15784375
transcript.pyannote[1382].end 7505.50784375
transcript.pyannote[1383].speaker SPEAKER_21
transcript.pyannote[1383].start 7505.57534375
transcript.pyannote[1383].end 7507.73534375
transcript.pyannote[1384].speaker SPEAKER_22
transcript.pyannote[1384].start 7506.89159375
transcript.pyannote[1384].end 7507.61721875
transcript.pyannote[1385].speaker SPEAKER_22
transcript.pyannote[1385].start 7507.73534375
transcript.pyannote[1385].end 7507.87034375
transcript.pyannote[1386].speaker SPEAKER_22
transcript.pyannote[1386].start 7507.90409375
transcript.pyannote[1386].end 7511.29596875
transcript.pyannote[1387].speaker SPEAKER_21
transcript.pyannote[1387].start 7508.08971875
transcript.pyannote[1387].end 7509.37221875
transcript.pyannote[1388].speaker SPEAKER_21
transcript.pyannote[1388].start 7510.70534375
transcript.pyannote[1388].end 7512.07221875
transcript.pyannote[1389].speaker SPEAKER_22
transcript.pyannote[1389].start 7512.07221875
transcript.pyannote[1389].end 7517.45534375
transcript.pyannote[1390].speaker SPEAKER_21
transcript.pyannote[1390].start 7517.21909375
transcript.pyannote[1390].end 7517.92784375
transcript.pyannote[1391].speaker SPEAKER_22
transcript.pyannote[1391].start 7517.92784375
transcript.pyannote[1391].end 7517.94471875
transcript.pyannote[1392].speaker SPEAKER_21
transcript.pyannote[1392].start 7517.94471875
transcript.pyannote[1392].end 7518.02909375
transcript.pyannote[1393].speaker SPEAKER_22
transcript.pyannote[1393].start 7518.02909375
transcript.pyannote[1393].end 7518.26534375
transcript.pyannote[1394].speaker SPEAKER_21
transcript.pyannote[1394].start 7518.26534375
transcript.pyannote[1394].end 7518.45096875
transcript.pyannote[1395].speaker SPEAKER_22
transcript.pyannote[1395].start 7519.41284375
transcript.pyannote[1395].end 7520.81346875
transcript.pyannote[1396].speaker SPEAKER_21
transcript.pyannote[1396].start 7521.20159375
transcript.pyannote[1396].end 7522.14659375
transcript.pyannote[1397].speaker SPEAKER_21
transcript.pyannote[1397].start 7522.36596875
transcript.pyannote[1397].end 7523.71596875
transcript.pyannote[1398].speaker SPEAKER_21
transcript.pyannote[1398].start 7524.05346875
transcript.pyannote[1398].end 7525.90971875
transcript.pyannote[1399].speaker SPEAKER_22
transcript.pyannote[1399].start 7526.23034375
transcript.pyannote[1399].end 7528.45784375
transcript.pyannote[1400].speaker SPEAKER_21
transcript.pyannote[1400].start 7526.77034375
transcript.pyannote[1400].end 7528.93034375
transcript.pyannote[1401].speaker SPEAKER_22
transcript.pyannote[1401].start 7529.38596875
transcript.pyannote[1401].end 7529.97659375
transcript.pyannote[1402].speaker SPEAKER_22
transcript.pyannote[1402].start 7530.06096875
transcript.pyannote[1402].end 7530.09471875
transcript.pyannote[1403].speaker SPEAKER_21
transcript.pyannote[1403].start 7530.09471875
transcript.pyannote[1403].end 7530.68534375
transcript.pyannote[1404].speaker SPEAKER_22
transcript.pyannote[1404].start 7530.68534375
transcript.pyannote[1404].end 7531.17471875
transcript.pyannote[1405].speaker SPEAKER_22
transcript.pyannote[1405].start 7531.27596875
transcript.pyannote[1405].end 7531.32659375
transcript.pyannote[1406].speaker SPEAKER_21
transcript.pyannote[1406].start 7531.32659375
transcript.pyannote[1406].end 7532.03534375
transcript.pyannote[1407].speaker SPEAKER_22
transcript.pyannote[1407].start 7532.03534375
transcript.pyannote[1407].end 7532.05221875
transcript.pyannote[1408].speaker SPEAKER_21
transcript.pyannote[1408].start 7532.05221875
transcript.pyannote[1408].end 7533.11534375
transcript.pyannote[1409].speaker SPEAKER_22
transcript.pyannote[1409].start 7533.11534375
transcript.pyannote[1409].end 7533.13221875
transcript.pyannote[1410].speaker SPEAKER_22
transcript.pyannote[1410].start 7533.41909375
transcript.pyannote[1410].end 7539.93284375
transcript.pyannote[1411].speaker SPEAKER_21
transcript.pyannote[1411].start 7534.19534375
transcript.pyannote[1411].end 7536.11909375
transcript.pyannote[1412].speaker SPEAKER_21
transcript.pyannote[1412].start 7537.09784375
transcript.pyannote[1412].end 7540.03409375
transcript.pyannote[1413].speaker SPEAKER_21
transcript.pyannote[1413].start 7540.67534375
transcript.pyannote[1413].end 7544.55659375
transcript.pyannote[1414].speaker SPEAKER_22
transcript.pyannote[1414].start 7544.05034375
transcript.pyannote[1414].end 7549.29846875
transcript.pyannote[1415].speaker SPEAKER_21
transcript.pyannote[1415].start 7545.13034375
transcript.pyannote[1415].end 7550.32784375
transcript.pyannote[1416].speaker SPEAKER_20
transcript.pyannote[1416].start 7549.29846875
transcript.pyannote[1416].end 7549.56846875
transcript.pyannote[1417].speaker SPEAKER_22
transcript.pyannote[1417].start 7549.56846875
transcript.pyannote[1417].end 7549.85534375
transcript.pyannote[1418].speaker SPEAKER_21
transcript.pyannote[1418].start 7550.81721875
transcript.pyannote[1418].end 7553.11221875
transcript.pyannote[1419].speaker SPEAKER_20
transcript.pyannote[1419].start 7553.46659375
transcript.pyannote[1419].end 7553.97284375
transcript.pyannote[1420].speaker SPEAKER_21
transcript.pyannote[1420].start 7553.82096875
transcript.pyannote[1420].end 7562.37659375
transcript.pyannote[1421].speaker SPEAKER_28
transcript.pyannote[1421].start 7553.97284375
transcript.pyannote[1421].end 7554.02346875
transcript.pyannote[1422].speaker SPEAKER_20
transcript.pyannote[1422].start 7554.02346875
transcript.pyannote[1422].end 7554.66471875
transcript.pyannote[1423].speaker SPEAKER_20
transcript.pyannote[1423].start 7556.30159375
transcript.pyannote[1423].end 7556.35221875
transcript.pyannote[1424].speaker SPEAKER_23
transcript.pyannote[1424].start 7556.35221875
transcript.pyannote[1424].end 7556.62221875
transcript.pyannote[1425].speaker SPEAKER_20
transcript.pyannote[1425].start 7556.62221875
transcript.pyannote[1425].end 7556.67284375
transcript.pyannote[1426].speaker SPEAKER_23
transcript.pyannote[1426].start 7556.67284375
transcript.pyannote[1426].end 7556.72346875
transcript.pyannote[1427].speaker SPEAKER_28
transcript.pyannote[1427].start 7556.72346875
transcript.pyannote[1427].end 7556.74034375
transcript.pyannote[1428].speaker SPEAKER_21
transcript.pyannote[1428].start 7563.52409375
transcript.pyannote[1428].end 7564.51971875
transcript.pyannote[1429].speaker SPEAKER_21
transcript.pyannote[1429].start 7565.86971875
transcript.pyannote[1429].end 7570.45971875
transcript.pyannote[1430].speaker SPEAKER_20
transcript.pyannote[1430].start 7569.58221875
transcript.pyannote[1430].end 7572.09659375
transcript.pyannote[1431].speaker SPEAKER_20
transcript.pyannote[1431].start 7572.67034375
transcript.pyannote[1431].end 7576.88909375
transcript.pyannote[1432].speaker SPEAKER_21
transcript.pyannote[1432].start 7575.04971875
transcript.pyannote[1432].end 7575.31971875
transcript.pyannote[1433].speaker SPEAKER_20
transcript.pyannote[1433].start 7577.00721875
transcript.pyannote[1433].end 7577.64846875
transcript.pyannote[1434].speaker SPEAKER_20
transcript.pyannote[1434].start 7577.78346875
transcript.pyannote[1434].end 7580.31471875
transcript.pyannote[1435].speaker SPEAKER_20
transcript.pyannote[1435].start 7580.43284375
transcript.pyannote[1435].end 7582.96409375
transcript.pyannote[1436].speaker SPEAKER_21
transcript.pyannote[1436].start 7581.63096875
transcript.pyannote[1436].end 7582.79534375
transcript.pyannote[1437].speaker SPEAKER_20
transcript.pyannote[1437].start 7583.67284375
transcript.pyannote[1437].end 7584.80346875
transcript.pyannote[1438].speaker SPEAKER_20
transcript.pyannote[1438].start 7585.07346875
transcript.pyannote[1438].end 7585.17471875
transcript.pyannote[1439].speaker SPEAKER_20
transcript.pyannote[1439].start 7585.59659375
transcript.pyannote[1439].end 7599.48471875
transcript.pyannote[1440].speaker SPEAKER_28
transcript.pyannote[1440].start 7594.70909375
transcript.pyannote[1440].end 7594.72596875
transcript.pyannote[1441].speaker SPEAKER_28
transcript.pyannote[1441].start 7594.74284375
transcript.pyannote[1441].end 7595.11409375
transcript.pyannote[1442].speaker SPEAKER_21
transcript.pyannote[1442].start 7599.26534375
transcript.pyannote[1442].end 7612.39409375
transcript.pyannote[1443].speaker SPEAKER_23
transcript.pyannote[1443].start 7601.07096875
transcript.pyannote[1443].end 7601.08784375
transcript.pyannote[1444].speaker SPEAKER_20
transcript.pyannote[1444].start 7601.08784375
transcript.pyannote[1444].end 7602.28596875
transcript.pyannote[1445].speaker SPEAKER_23
transcript.pyannote[1445].start 7612.30971875
transcript.pyannote[1445].end 7612.79909375
transcript.pyannote[1446].speaker SPEAKER_21
transcript.pyannote[1446].start 7612.44471875
transcript.pyannote[1446].end 7613.40659375
transcript.pyannote[1447].speaker SPEAKER_21
transcript.pyannote[1447].start 7613.67659375
transcript.pyannote[1447].end 7615.70159375
transcript.pyannote[1448].speaker SPEAKER_21
transcript.pyannote[1448].start 7616.25846875
transcript.pyannote[1448].end 7619.58284375
transcript.pyannote[1449].speaker SPEAKER_21
transcript.pyannote[1449].start 7620.07221875
transcript.pyannote[1449].end 7621.50659375
transcript.pyannote[1450].speaker SPEAKER_21
transcript.pyannote[1450].start 7621.67534375
transcript.pyannote[1450].end 7622.92409375
transcript.pyannote[1451].speaker SPEAKER_21
transcript.pyannote[1451].start 7623.37971875
transcript.pyannote[1451].end 7625.35409375
transcript.pyannote[1452].speaker SPEAKER_21
transcript.pyannote[1452].start 7625.82659375
transcript.pyannote[1452].end 7629.48846875
transcript.pyannote[1453].speaker SPEAKER_21
transcript.pyannote[1453].start 7629.60659375
transcript.pyannote[1453].end 7631.53034375
transcript.pyannote[1454].speaker SPEAKER_21
transcript.pyannote[1454].start 7631.78346875
transcript.pyannote[1454].end 7632.89721875
transcript.pyannote[1455].speaker SPEAKER_21
transcript.pyannote[1455].start 7632.96471875
transcript.pyannote[1455].end 7634.98971875
transcript.pyannote[1456].speaker SPEAKER_21
transcript.pyannote[1456].start 7635.42846875
transcript.pyannote[1456].end 7637.26784375
transcript.pyannote[1457].speaker SPEAKER_21
transcript.pyannote[1457].start 7637.62221875
transcript.pyannote[1457].end 7640.60909375
transcript.pyannote[1458].speaker SPEAKER_21
transcript.pyannote[1458].start 7641.09846875
transcript.pyannote[1458].end 7642.65096875
transcript.pyannote[1459].speaker SPEAKER_21
transcript.pyannote[1459].start 7642.73534375
transcript.pyannote[1459].end 7644.62534375
transcript.pyannote[1460].speaker SPEAKER_21
transcript.pyannote[1460].start 7644.91221875
transcript.pyannote[1460].end 7647.20721875
transcript.pyannote[1461].speaker SPEAKER_12
transcript.pyannote[1461].start 7648.75971875
transcript.pyannote[1461].end 7648.77659375
transcript.pyannote[1462].speaker SPEAKER_22
transcript.pyannote[1462].start 7648.77659375
transcript.pyannote[1462].end 7648.79346875
transcript.pyannote[1463].speaker SPEAKER_12
transcript.pyannote[1463].start 7648.79346875
transcript.pyannote[1463].end 7648.81034375
transcript.pyannote[1464].speaker SPEAKER_22
transcript.pyannote[1464].start 7648.81034375
transcript.pyannote[1464].end 7648.91159375
transcript.pyannote[1465].speaker SPEAKER_12
transcript.pyannote[1465].start 7648.86096875
transcript.pyannote[1465].end 7648.87784375
transcript.pyannote[1466].speaker SPEAKER_21
transcript.pyannote[1466].start 7648.87784375
transcript.pyannote[1466].end 7648.89471875
transcript.pyannote[1467].speaker SPEAKER_21
transcript.pyannote[1467].start 7648.91159375
transcript.pyannote[1467].end 7649.06346875
transcript.pyannote[1468].speaker SPEAKER_22
transcript.pyannote[1468].start 7649.28284375
transcript.pyannote[1468].end 7651.72971875
transcript.pyannote[1469].speaker SPEAKER_22
transcript.pyannote[1469].start 7652.10096875
transcript.pyannote[1469].end 7664.30159375
transcript.pyannote[1470].speaker SPEAKER_12
transcript.pyannote[1470].start 7659.03659375
transcript.pyannote[1470].end 7659.35721875
transcript.pyannote[1471].speaker SPEAKER_22
transcript.pyannote[1471].start 7664.47034375
transcript.pyannote[1471].end 7671.89534375
transcript.pyannote[1472].speaker SPEAKER_21
transcript.pyannote[1472].start 7671.16971875
transcript.pyannote[1472].end 7676.02971875
transcript.pyannote[1473].speaker SPEAKER_22
transcript.pyannote[1473].start 7674.59534375
transcript.pyannote[1473].end 7682.44221875
transcript.pyannote[1474].speaker SPEAKER_21
transcript.pyannote[1474].start 7681.68284375
transcript.pyannote[1474].end 7687.08284375
transcript.pyannote[1475].speaker SPEAKER_22
transcript.pyannote[1475].start 7682.66159375
transcript.pyannote[1475].end 7691.36909375
transcript.pyannote[1476].speaker SPEAKER_21
transcript.pyannote[1476].start 7688.07846875
transcript.pyannote[1476].end 7688.43284375
transcript.pyannote[1477].speaker SPEAKER_21
transcript.pyannote[1477].start 7689.63096875
transcript.pyannote[1477].end 7692.53346875
transcript.pyannote[1478].speaker SPEAKER_21
transcript.pyannote[1478].start 7692.63471875
transcript.pyannote[1478].end 7695.60471875
transcript.pyannote[1479].speaker SPEAKER_21
transcript.pyannote[1479].start 7696.07721875
transcript.pyannote[1479].end 7707.23159375
transcript.pyannote[1480].speaker SPEAKER_22
transcript.pyannote[1480].start 7698.45659375
transcript.pyannote[1480].end 7698.50721875
transcript.pyannote[1481].speaker SPEAKER_12
transcript.pyannote[1481].start 7698.50721875
transcript.pyannote[1481].end 7700.48159375
transcript.pyannote[1482].speaker SPEAKER_22
transcript.pyannote[1482].start 7701.64596875
transcript.pyannote[1482].end 7702.52346875
transcript.pyannote[1483].speaker SPEAKER_22
transcript.pyannote[1483].start 7707.43409375
transcript.pyannote[1483].end 7710.45471875
transcript.pyannote[1484].speaker SPEAKER_21
transcript.pyannote[1484].start 7709.49284375
transcript.pyannote[1484].end 7710.42096875
transcript.pyannote[1485].speaker SPEAKER_21
transcript.pyannote[1485].start 7710.45471875
transcript.pyannote[1485].end 7710.47159375
transcript.pyannote[1486].speaker SPEAKER_22
transcript.pyannote[1486].start 7710.47159375
transcript.pyannote[1486].end 7710.50534375
transcript.pyannote[1487].speaker SPEAKER_21
transcript.pyannote[1487].start 7710.50534375
transcript.pyannote[1487].end 7710.79221875
transcript.pyannote[1488].speaker SPEAKER_22
transcript.pyannote[1488].start 7710.79221875
transcript.pyannote[1488].end 7713.44159375
transcript.pyannote[1489].speaker SPEAKER_21
transcript.pyannote[1489].start 7710.87659375
transcript.pyannote[1489].end 7710.89346875
transcript.pyannote[1490].speaker SPEAKER_21
transcript.pyannote[1490].start 7710.92721875
transcript.pyannote[1490].end 7711.16346875
transcript.pyannote[1491].speaker SPEAKER_21
transcript.pyannote[1491].start 7712.00721875
transcript.pyannote[1491].end 7717.03596875
transcript.pyannote[1492].speaker SPEAKER_21
transcript.pyannote[1492].start 7717.35659375
transcript.pyannote[1492].end 7720.37721875
transcript.pyannote[1493].speaker SPEAKER_23
transcript.pyannote[1493].start 7720.29284375
transcript.pyannote[1493].end 7720.59659375
transcript.pyannote[1494].speaker SPEAKER_21
transcript.pyannote[1494].start 7720.86659375
transcript.pyannote[1494].end 7725.55784375
transcript.pyannote[1495].speaker SPEAKER_21
transcript.pyannote[1495].start 7726.36784375
transcript.pyannote[1495].end 7742.41596875
transcript.pyannote[1496].speaker SPEAKER_22
transcript.pyannote[1496].start 7743.36096875
transcript.pyannote[1496].end 7748.49096875
transcript.pyannote[1497].speaker SPEAKER_21
transcript.pyannote[1497].start 7743.76596875
transcript.pyannote[1497].end 7745.09909375
transcript.pyannote[1498].speaker SPEAKER_21
transcript.pyannote[1498].start 7746.34784375
transcript.pyannote[1498].end 7748.08596875
transcript.pyannote[1499].speaker SPEAKER_22
transcript.pyannote[1499].start 7748.59221875
transcript.pyannote[1499].end 7753.38471875
transcript.pyannote[1500].speaker SPEAKER_28
transcript.pyannote[1500].start 7752.08534375
transcript.pyannote[1500].end 7752.11909375
transcript.pyannote[1501].speaker SPEAKER_21
transcript.pyannote[1501].start 7752.11909375
transcript.pyannote[1501].end 7755.59534375
transcript.pyannote[1502].speaker SPEAKER_22
transcript.pyannote[1502].start 7755.59534375
transcript.pyannote[1502].end 7756.20284375
transcript.pyannote[1503].speaker SPEAKER_21
transcript.pyannote[1503].start 7756.20284375
transcript.pyannote[1503].end 7764.42096875
transcript.pyannote[1504].speaker SPEAKER_23
transcript.pyannote[1504].start 7764.42096875
transcript.pyannote[1504].end 7766.26034375
transcript.pyannote[1505].speaker SPEAKER_21
transcript.pyannote[1505].start 7764.45471875
transcript.pyannote[1505].end 7773.53346875
transcript.pyannote[1506].speaker SPEAKER_21
transcript.pyannote[1506].start 7773.80346875
transcript.pyannote[1506].end 7774.27596875
transcript.pyannote[1507].speaker SPEAKER_21
transcript.pyannote[1507].start 7774.30971875
transcript.pyannote[1507].end 7778.14034375
transcript.pyannote[1508].speaker SPEAKER_21
transcript.pyannote[1508].start 7779.01784375
transcript.pyannote[1508].end 7780.62096875
transcript.pyannote[1509].speaker SPEAKER_20
transcript.pyannote[1509].start 7780.65471875
transcript.pyannote[1509].end 7788.33284375
transcript.pyannote[1510].speaker SPEAKER_21
transcript.pyannote[1510].start 7785.53159375
transcript.pyannote[1510].end 7786.39221875
transcript.pyannote[1511].speaker SPEAKER_21
transcript.pyannote[1511].start 7788.16409375
transcript.pyannote[1511].end 7789.95284375
transcript.pyannote[1512].speaker SPEAKER_21
transcript.pyannote[1512].start 7790.49284375
transcript.pyannote[1512].end 7792.75409375
transcript.pyannote[1513].speaker SPEAKER_21
transcript.pyannote[1513].start 7793.26034375
transcript.pyannote[1513].end 7808.66721875
transcript.pyannote[1514].speaker SPEAKER_00
transcript.pyannote[1514].start 7800.16221875
transcript.pyannote[1514].end 7801.03971875
transcript.pyannote[1515].speaker SPEAKER_22
transcript.pyannote[1515].start 7801.03971875
transcript.pyannote[1515].end 7801.22534375
transcript.pyannote[1516].speaker SPEAKER_00
transcript.pyannote[1516].start 7801.22534375
transcript.pyannote[1516].end 7801.32659375
transcript.pyannote[1517].speaker SPEAKER_22
transcript.pyannote[1517].start 7809.22409375
transcript.pyannote[1517].end 7809.25784375
transcript.pyannote[1518].speaker SPEAKER_21
transcript.pyannote[1518].start 7809.25784375
transcript.pyannote[1518].end 7809.98346875
transcript.pyannote[1519].speaker SPEAKER_22
transcript.pyannote[1519].start 7809.29159375
transcript.pyannote[1519].end 7813.29096875
transcript.pyannote[1520].speaker SPEAKER_21
transcript.pyannote[1520].start 7810.84409375
transcript.pyannote[1520].end 7811.83971875
transcript.pyannote[1521].speaker SPEAKER_21
transcript.pyannote[1521].start 7812.88596875
transcript.pyannote[1521].end 7817.12159375
transcript.pyannote[1522].speaker SPEAKER_22
transcript.pyannote[1522].start 7817.27346875
transcript.pyannote[1522].end 7817.30721875
transcript.pyannote[1523].speaker SPEAKER_20
transcript.pyannote[1523].start 7817.30721875
transcript.pyannote[1523].end 7817.98221875
transcript.pyannote[1524].speaker SPEAKER_21
transcript.pyannote[1524].start 7821.28971875
transcript.pyannote[1524].end 7821.55971875
transcript.pyannote[1525].speaker SPEAKER_20
transcript.pyannote[1525].start 7822.18409375
transcript.pyannote[1525].end 7822.20096875
transcript.pyannote[1526].speaker SPEAKER_12
transcript.pyannote[1526].start 7822.20096875
transcript.pyannote[1526].end 7822.55534375
transcript.pyannote[1527].speaker SPEAKER_12
transcript.pyannote[1527].start 7822.62284375
transcript.pyannote[1527].end 7823.02784375
transcript.pyannote[1528].speaker SPEAKER_21
transcript.pyannote[1528].start 7824.88409375
transcript.pyannote[1528].end 7826.67284375
transcript.pyannote[1529].speaker SPEAKER_21
transcript.pyannote[1529].start 8071.66409375
transcript.pyannote[1529].end 8073.77346875
transcript.pyannote[1530].speaker SPEAKER_21
transcript.pyannote[1530].start 8075.91659375
transcript.pyannote[1530].end 8076.32159375
transcript.pyannote[1531].speaker SPEAKER_21
transcript.pyannote[1531].start 8078.68409375
transcript.pyannote[1531].end 8080.20284375
transcript.pyannote[1532].speaker SPEAKER_21
transcript.pyannote[1532].start 8081.92409375
transcript.pyannote[1532].end 8085.58596875
transcript.pyannote[1533].speaker SPEAKER_08
transcript.pyannote[1533].start 8096.89221875
transcript.pyannote[1533].end 8098.02284375
transcript.pyannote[1534].speaker SPEAKER_08
transcript.pyannote[1534].start 8099.00159375
transcript.pyannote[1534].end 8099.92971875
transcript.pyannote[1535].speaker SPEAKER_08
transcript.pyannote[1535].start 8100.57096875
transcript.pyannote[1535].end 8102.19096875
transcript.pyannote[1536].speaker SPEAKER_08
transcript.pyannote[1536].start 8103.30471875
transcript.pyannote[1536].end 8104.87409375
transcript.pyannote[1537].speaker SPEAKER_08
transcript.pyannote[1537].start 8105.86971875
transcript.pyannote[1537].end 8106.46034375
transcript.pyannote[1538].speaker SPEAKER_08
transcript.pyannote[1538].start 8106.59534375
transcript.pyannote[1538].end 8106.98346875
transcript.pyannote[1539].speaker SPEAKER_08
transcript.pyannote[1539].start 8108.01284375
transcript.pyannote[1539].end 8108.62034375
transcript.pyannote[1540].speaker SPEAKER_08
transcript.pyannote[1540].start 8109.05909375
transcript.pyannote[1540].end 8109.63284375
transcript.pyannote[1541].speaker SPEAKER_08
transcript.pyannote[1541].start 8110.66221875
transcript.pyannote[1541].end 8111.80971875
transcript.pyannote[1542].speaker SPEAKER_08
transcript.pyannote[1542].start 8112.72096875
transcript.pyannote[1542].end 8115.04971875
transcript.pyannote[1543].speaker SPEAKER_08
transcript.pyannote[1543].start 8115.57284375
transcript.pyannote[1543].end 8117.76659375
transcript.pyannote[1544].speaker SPEAKER_08
transcript.pyannote[1544].start 8117.90159375
transcript.pyannote[1544].end 8118.59346875
transcript.pyannote[1545].speaker SPEAKER_21
transcript.pyannote[1545].start 8120.68596875
transcript.pyannote[1545].end 8121.96846875
transcript.pyannote[1546].speaker SPEAKER_08
transcript.pyannote[1546].start 8121.96846875
transcript.pyannote[1546].end 8124.34784375
transcript.pyannote[1547].speaker SPEAKER_08
transcript.pyannote[1547].start 8124.92159375
transcript.pyannote[1547].end 8126.25471875
transcript.pyannote[1548].speaker SPEAKER_08
transcript.pyannote[1548].start 8126.76096875
transcript.pyannote[1548].end 8134.96221875
transcript.pyannote[1549].speaker SPEAKER_08
transcript.pyannote[1549].start 8135.43471875
transcript.pyannote[1549].end 8136.07596875
transcript.pyannote[1550].speaker SPEAKER_08
transcript.pyannote[1550].start 8136.59909375
transcript.pyannote[1550].end 8137.76346875
transcript.pyannote[1551].speaker SPEAKER_08
transcript.pyannote[1551].start 8138.52284375
transcript.pyannote[1551].end 8142.37034375
transcript.pyannote[1552].speaker SPEAKER_08
transcript.pyannote[1552].start 8142.60659375
transcript.pyannote[1552].end 8151.26346875
transcript.pyannote[1553].speaker SPEAKER_08
transcript.pyannote[1553].start 8151.48284375
transcript.pyannote[1553].end 8155.16159375
transcript.pyannote[1554].speaker SPEAKER_08
transcript.pyannote[1554].start 8155.66784375
transcript.pyannote[1554].end 8158.21596875
transcript.pyannote[1555].speaker SPEAKER_08
transcript.pyannote[1555].start 8158.57034375
transcript.pyannote[1555].end 8161.13534375
transcript.pyannote[1556].speaker SPEAKER_08
transcript.pyannote[1556].start 8161.86096875
transcript.pyannote[1556].end 8166.07971875
transcript.pyannote[1557].speaker SPEAKER_08
transcript.pyannote[1557].start 8166.56909375
transcript.pyannote[1557].end 8167.91909375
transcript.pyannote[1558].speaker SPEAKER_08
transcript.pyannote[1558].start 8169.50534375
transcript.pyannote[1558].end 8175.90096875
transcript.pyannote[1559].speaker SPEAKER_08
transcript.pyannote[1559].start 8176.59284375
transcript.pyannote[1559].end 8177.62221875
transcript.pyannote[1560].speaker SPEAKER_14
transcript.pyannote[1560].start 8177.62221875
transcript.pyannote[1560].end 8177.63909375
transcript.pyannote[1561].speaker SPEAKER_14
transcript.pyannote[1561].start 8181.08159375
transcript.pyannote[1561].end 8182.11096875
transcript.pyannote[1562].speaker SPEAKER_14
transcript.pyannote[1562].start 8182.46534375
transcript.pyannote[1562].end 8201.39909375
transcript.pyannote[1563].speaker SPEAKER_23
transcript.pyannote[1563].start 8190.43034375
transcript.pyannote[1563].end 8191.79721875
transcript.pyannote[1564].speaker SPEAKER_00
transcript.pyannote[1564].start 8191.79721875
transcript.pyannote[1564].end 8191.81409375
transcript.pyannote[1565].speaker SPEAKER_23
transcript.pyannote[1565].start 8192.69159375
transcript.pyannote[1565].end 8192.89409375
transcript.pyannote[1566].speaker SPEAKER_00
transcript.pyannote[1566].start 8193.13034375
transcript.pyannote[1566].end 8193.40034375
transcript.pyannote[1567].speaker SPEAKER_14
transcript.pyannote[1567].start 8201.82096875
transcript.pyannote[1567].end 8207.65971875
transcript.pyannote[1568].speaker SPEAKER_08
transcript.pyannote[1568].start 8206.69784375
transcript.pyannote[1568].end 8209.29659375
transcript.pyannote[1569].speaker SPEAKER_14
transcript.pyannote[1569].start 8208.23346875
transcript.pyannote[1569].end 8210.59596875
transcript.pyannote[1570].speaker SPEAKER_14
transcript.pyannote[1570].start 8210.74784375
transcript.pyannote[1570].end 8231.30159375
transcript.pyannote[1571].speaker SPEAKER_08
transcript.pyannote[1571].start 8230.91346875
transcript.pyannote[1571].end 8233.66409375
transcript.pyannote[1572].speaker SPEAKER_14
transcript.pyannote[1572].start 8233.66409375
transcript.pyannote[1572].end 8235.82409375
transcript.pyannote[1573].speaker SPEAKER_14
transcript.pyannote[1573].start 8236.44846875
transcript.pyannote[1573].end 8238.27096875
transcript.pyannote[1574].speaker SPEAKER_14
transcript.pyannote[1574].start 8238.57471875
transcript.pyannote[1574].end 8251.33221875
transcript.pyannote[1575].speaker SPEAKER_14
transcript.pyannote[1575].start 8251.78784375
transcript.pyannote[1575].end 8253.18846875
transcript.pyannote[1576].speaker SPEAKER_08
transcript.pyannote[1576].start 8253.18846875
transcript.pyannote[1576].end 8258.35221875
transcript.pyannote[1577].speaker SPEAKER_14
transcript.pyannote[1577].start 8253.22221875
transcript.pyannote[1577].end 8253.64409375
transcript.pyannote[1578].speaker SPEAKER_14
transcript.pyannote[1578].start 8255.33159375
transcript.pyannote[1578].end 8255.68596875
transcript.pyannote[1579].speaker SPEAKER_23
transcript.pyannote[1579].start 8258.40284375
transcript.pyannote[1579].end 8258.75721875
transcript.pyannote[1580].speaker SPEAKER_08
transcript.pyannote[1580].start 8258.70659375
transcript.pyannote[1580].end 8268.40971875
transcript.pyannote[1581].speaker SPEAKER_08
transcript.pyannote[1581].start 8268.49409375
transcript.pyannote[1581].end 8274.33284375
transcript.pyannote[1582].speaker SPEAKER_08
transcript.pyannote[1582].start 8274.61971875
transcript.pyannote[1582].end 8276.03721875
transcript.pyannote[1583].speaker SPEAKER_14
transcript.pyannote[1583].start 8276.03721875
transcript.pyannote[1583].end 8276.32409375
transcript.pyannote[1584].speaker SPEAKER_08
transcript.pyannote[1584].start 8276.32409375
transcript.pyannote[1584].end 8277.06659375
transcript.pyannote[1585].speaker SPEAKER_14
transcript.pyannote[1585].start 8276.35784375
transcript.pyannote[1585].end 8276.99909375
transcript.pyannote[1586].speaker SPEAKER_14
transcript.pyannote[1586].start 8277.06659375
transcript.pyannote[1586].end 8279.10846875
transcript.pyannote[1587].speaker SPEAKER_08
transcript.pyannote[1587].start 8278.02846875
transcript.pyannote[1587].end 8278.85534375
transcript.pyannote[1588].speaker SPEAKER_14
transcript.pyannote[1588].start 8279.88471875
transcript.pyannote[1588].end 8314.34346875
transcript.pyannote[1589].speaker SPEAKER_12
transcript.pyannote[1589].start 8286.98909375
transcript.pyannote[1589].end 8287.03971875
transcript.pyannote[1590].speaker SPEAKER_08
transcript.pyannote[1590].start 8287.03971875
transcript.pyannote[1590].end 8287.57971875
transcript.pyannote[1591].speaker SPEAKER_12
transcript.pyannote[1591].start 8287.57971875
transcript.pyannote[1591].end 8287.69784375
transcript.pyannote[1592].speaker SPEAKER_08
transcript.pyannote[1592].start 8309.83784375
transcript.pyannote[1592].end 8311.32284375
transcript.pyannote[1593].speaker SPEAKER_08
transcript.pyannote[1593].start 8313.87096875
transcript.pyannote[1593].end 8323.03409375
transcript.pyannote[1594].speaker SPEAKER_14
transcript.pyannote[1594].start 8323.03409375
transcript.pyannote[1594].end 8340.92159375
transcript.pyannote[1595].speaker SPEAKER_08
transcript.pyannote[1595].start 8338.66034375
transcript.pyannote[1595].end 8340.53346875
transcript.pyannote[1596].speaker SPEAKER_14
transcript.pyannote[1596].start 8341.63034375
transcript.pyannote[1596].end 8342.25471875
transcript.pyannote[1597].speaker SPEAKER_14
transcript.pyannote[1597].start 8342.84534375
transcript.pyannote[1597].end 8368.96784375
transcript.pyannote[1598].speaker SPEAKER_08
transcript.pyannote[1598].start 8343.48659375
transcript.pyannote[1598].end 8344.34721875
transcript.pyannote[1599].speaker SPEAKER_08
transcript.pyannote[1599].start 8353.56096875
transcript.pyannote[1599].end 8355.18096875
transcript.pyannote[1600].speaker SPEAKER_08
transcript.pyannote[1600].start 8368.96784375
transcript.pyannote[1600].end 8375.05971875
transcript.pyannote[1601].speaker SPEAKER_14
transcript.pyannote[1601].start 8369.44034375
transcript.pyannote[1601].end 8369.76096875
transcript.pyannote[1602].speaker SPEAKER_14
transcript.pyannote[1602].start 8370.84096875
transcript.pyannote[1602].end 8372.12346875
transcript.pyannote[1603].speaker SPEAKER_08
transcript.pyannote[1603].start 8375.58284375
transcript.pyannote[1603].end 8380.76346875
transcript.pyannote[1604].speaker SPEAKER_00
transcript.pyannote[1604].start 8375.65034375
transcript.pyannote[1604].end 8375.92034375
transcript.pyannote[1605].speaker SPEAKER_23
transcript.pyannote[1605].start 8375.92034375
transcript.pyannote[1605].end 8375.95409375
transcript.pyannote[1606].speaker SPEAKER_22
transcript.pyannote[1606].start 8375.95409375
transcript.pyannote[1606].end 8375.97096875
transcript.pyannote[1607].speaker SPEAKER_08
transcript.pyannote[1607].start 8380.93221875
transcript.pyannote[1607].end 8380.96596875
transcript.pyannote[1608].speaker SPEAKER_22
transcript.pyannote[1608].start 8380.96596875
transcript.pyannote[1608].end 8412.75846875
transcript.pyannote[1609].speaker SPEAKER_22
transcript.pyannote[1609].start 8413.16346875
transcript.pyannote[1609].end 8438.72909375
transcript.pyannote[1610].speaker SPEAKER_22
transcript.pyannote[1610].start 8438.83034375
transcript.pyannote[1610].end 8444.41596875
transcript.pyannote[1611].speaker SPEAKER_22
transcript.pyannote[1611].start 8444.78721875
transcript.pyannote[1611].end 8450.96346875
transcript.pyannote[1612].speaker SPEAKER_08
transcript.pyannote[1612].start 8450.96346875
transcript.pyannote[1612].end 8459.11409375
transcript.pyannote[1613].speaker SPEAKER_22
transcript.pyannote[1613].start 8459.11409375
transcript.pyannote[1613].end 8459.14784375
transcript.pyannote[1614].speaker SPEAKER_08
transcript.pyannote[1614].start 8459.70471875
transcript.pyannote[1614].end 8460.02534375
transcript.pyannote[1615].speaker SPEAKER_22
transcript.pyannote[1615].start 8460.02534375
transcript.pyannote[1615].end 8460.27846875
transcript.pyannote[1616].speaker SPEAKER_08
transcript.pyannote[1616].start 8460.27846875
transcript.pyannote[1616].end 8460.90284375
transcript.pyannote[1617].speaker SPEAKER_22
transcript.pyannote[1617].start 8460.90284375
transcript.pyannote[1617].end 8467.78784375
transcript.pyannote[1618].speaker SPEAKER_22
transcript.pyannote[1618].start 8468.41221875
transcript.pyannote[1618].end 8472.71534375
transcript.pyannote[1619].speaker SPEAKER_22
transcript.pyannote[1619].start 8473.22159375
transcript.pyannote[1619].end 8478.67221875
transcript.pyannote[1620].speaker SPEAKER_22
transcript.pyannote[1620].start 8479.12784375
transcript.pyannote[1620].end 8484.02159375
transcript.pyannote[1621].speaker SPEAKER_22
transcript.pyannote[1621].start 8484.42659375
transcript.pyannote[1621].end 8485.05096875
transcript.pyannote[1622].speaker SPEAKER_22
transcript.pyannote[1622].start 8486.45159375
transcript.pyannote[1622].end 8492.34096875
transcript.pyannote[1623].speaker SPEAKER_22
transcript.pyannote[1623].start 8492.64471875
transcript.pyannote[1623].end 8502.33096875
transcript.pyannote[1624].speaker SPEAKER_08
transcript.pyannote[1624].start 8493.40409375
transcript.pyannote[1624].end 8495.73284375
transcript.pyannote[1625].speaker SPEAKER_00
transcript.pyannote[1625].start 8495.73284375
transcript.pyannote[1625].end 8495.74971875
transcript.pyannote[1626].speaker SPEAKER_08
transcript.pyannote[1626].start 8500.12034375
transcript.pyannote[1626].end 8503.30971875
transcript.pyannote[1627].speaker SPEAKER_22
transcript.pyannote[1627].start 8502.97221875
transcript.pyannote[1627].end 8505.97596875
transcript.pyannote[1628].speaker SPEAKER_08
transcript.pyannote[1628].start 8505.97596875
transcript.pyannote[1628].end 8508.92909375
transcript.pyannote[1629].speaker SPEAKER_08
transcript.pyannote[1629].start 8509.23284375
transcript.pyannote[1629].end 8513.16471875
transcript.pyannote[1630].speaker SPEAKER_08
transcript.pyannote[1630].start 8513.97471875
transcript.pyannote[1630].end 8514.88596875
transcript.pyannote[1631].speaker SPEAKER_09
transcript.pyannote[1631].start 8514.88596875
transcript.pyannote[1631].end 8514.90284375
transcript.pyannote[1632].speaker SPEAKER_09
transcript.pyannote[1632].start 8516.01659375
transcript.pyannote[1632].end 8521.70346875
transcript.pyannote[1633].speaker SPEAKER_09
transcript.pyannote[1633].start 8522.15909375
transcript.pyannote[1633].end 8524.55534375
transcript.pyannote[1634].speaker SPEAKER_09
transcript.pyannote[1634].start 8524.87596875
transcript.pyannote[1634].end 8529.28034375
transcript.pyannote[1635].speaker SPEAKER_09
transcript.pyannote[1635].start 8529.70221875
transcript.pyannote[1635].end 8538.12284375
transcript.pyannote[1636].speaker SPEAKER_08
transcript.pyannote[1636].start 8532.04784375
transcript.pyannote[1636].end 8532.63846875
transcript.pyannote[1637].speaker SPEAKER_12
transcript.pyannote[1637].start 8532.63846875
transcript.pyannote[1637].end 8532.65534375
transcript.pyannote[1638].speaker SPEAKER_12
transcript.pyannote[1638].start 8536.75596875
transcript.pyannote[1638].end 8537.71784375
transcript.pyannote[1639].speaker SPEAKER_12
transcript.pyannote[1639].start 8538.12284375
transcript.pyannote[1639].end 8538.76409375
transcript.pyannote[1640].speaker SPEAKER_09
transcript.pyannote[1640].start 8538.98346875
transcript.pyannote[1640].end 8542.72971875
transcript.pyannote[1641].speaker SPEAKER_09
transcript.pyannote[1641].start 8543.26971875
transcript.pyannote[1641].end 8548.09596875
transcript.pyannote[1642].speaker SPEAKER_09
transcript.pyannote[1642].start 8548.70346875
transcript.pyannote[1642].end 8550.98159375
transcript.pyannote[1643].speaker SPEAKER_09
transcript.pyannote[1643].start 8551.48784375
transcript.pyannote[1643].end 8553.61409375
transcript.pyannote[1644].speaker SPEAKER_12
transcript.pyannote[1644].start 8553.61409375
transcript.pyannote[1644].end 8553.68159375
transcript.pyannote[1645].speaker SPEAKER_23
transcript.pyannote[1645].start 8553.68159375
transcript.pyannote[1645].end 8553.73221875
transcript.pyannote[1646].speaker SPEAKER_09
transcript.pyannote[1646].start 8554.15409375
transcript.pyannote[1646].end 8557.39409375
transcript.pyannote[1647].speaker SPEAKER_09
transcript.pyannote[1647].start 8557.96784375
transcript.pyannote[1647].end 8565.67971875
transcript.pyannote[1648].speaker SPEAKER_09
transcript.pyannote[1648].start 8566.11846875
transcript.pyannote[1648].end 8580.24284375
transcript.pyannote[1649].speaker SPEAKER_09
transcript.pyannote[1649].start 8580.68159375
transcript.pyannote[1649].end 8582.23409375
transcript.pyannote[1650].speaker SPEAKER_09
transcript.pyannote[1650].start 8582.60534375
transcript.pyannote[1650].end 8585.00159375
transcript.pyannote[1651].speaker SPEAKER_08
transcript.pyannote[1651].start 8584.12409375
transcript.pyannote[1651].end 8586.16596875
transcript.pyannote[1652].speaker SPEAKER_09
transcript.pyannote[1652].start 8586.58784375
transcript.pyannote[1652].end 8587.66784375
transcript.pyannote[1653].speaker SPEAKER_09
transcript.pyannote[1653].start 8588.64659375
transcript.pyannote[1653].end 8593.48971875
transcript.pyannote[1654].speaker SPEAKER_09
transcript.pyannote[1654].start 8593.96221875
transcript.pyannote[1654].end 8604.42471875
transcript.pyannote[1655].speaker SPEAKER_00
transcript.pyannote[1655].start 8599.90221875
transcript.pyannote[1655].end 8602.88909375
transcript.pyannote[1656].speaker SPEAKER_09
transcript.pyannote[1656].start 8604.76221875
transcript.pyannote[1656].end 8610.44909375
transcript.pyannote[1657].speaker SPEAKER_08
transcript.pyannote[1657].start 8604.81284375
transcript.pyannote[1657].end 8606.48346875
transcript.pyannote[1658].speaker SPEAKER_09
transcript.pyannote[1658].start 8611.09034375
transcript.pyannote[1658].end 8614.22909375
transcript.pyannote[1659].speaker SPEAKER_08
transcript.pyannote[1659].start 8612.94659375
transcript.pyannote[1659].end 8617.33409375
transcript.pyannote[1660].speaker SPEAKER_09
transcript.pyannote[1660].start 8614.71846875
transcript.pyannote[1660].end 8614.87034375
transcript.pyannote[1661].speaker SPEAKER_09
transcript.pyannote[1661].start 8616.54096875
transcript.pyannote[1661].end 8617.23284375
transcript.pyannote[1662].speaker SPEAKER_09
transcript.pyannote[1662].start 8617.33409375
transcript.pyannote[1662].end 8617.77284375
transcript.pyannote[1663].speaker SPEAKER_08
transcript.pyannote[1663].start 8617.77284375
transcript.pyannote[1663].end 8618.38034375
transcript.pyannote[1664].speaker SPEAKER_08
transcript.pyannote[1664].start 8618.65034375
transcript.pyannote[1664].end 8622.04221875
transcript.pyannote[1665].speaker SPEAKER_09
transcript.pyannote[1665].start 8621.31659375
transcript.pyannote[1665].end 8629.34909375
transcript.pyannote[1666].speaker SPEAKER_08
transcript.pyannote[1666].start 8626.78409375
transcript.pyannote[1666].end 8630.73284375
transcript.pyannote[1667].speaker SPEAKER_08
transcript.pyannote[1667].start 8630.78346875
transcript.pyannote[1667].end 8632.58909375
transcript.pyannote[1668].speaker SPEAKER_08
transcript.pyannote[1668].start 8632.77471875
transcript.pyannote[1668].end 8634.04034375
transcript.pyannote[1669].speaker SPEAKER_08
transcript.pyannote[1669].start 8634.20909375
transcript.pyannote[1669].end 8634.76596875
transcript.pyannote[1670].speaker SPEAKER_08
transcript.pyannote[1670].start 8635.37346875
transcript.pyannote[1670].end 8636.36909375
transcript.pyannote[1671].speaker SPEAKER_17
transcript.pyannote[1671].start 8636.80784375
transcript.pyannote[1671].end 8650.13909375
transcript.pyannote[1672].speaker SPEAKER_17
transcript.pyannote[1672].start 8650.61159375
transcript.pyannote[1672].end 8655.37034375
transcript.pyannote[1673].speaker SPEAKER_17
transcript.pyannote[1673].start 8656.12971875
transcript.pyannote[1673].end 8665.68096875
transcript.pyannote[1674].speaker SPEAKER_17
transcript.pyannote[1674].start 8666.00159375
transcript.pyannote[1674].end 8671.53659375
transcript.pyannote[1675].speaker SPEAKER_17
transcript.pyannote[1675].start 8671.55346875
transcript.pyannote[1675].end 8687.01096875
transcript.pyannote[1676].speaker SPEAKER_17
transcript.pyannote[1676].start 8687.06159375
transcript.pyannote[1676].end 8688.76596875
transcript.pyannote[1677].speaker SPEAKER_17
transcript.pyannote[1677].start 8689.33971875
transcript.pyannote[1677].end 8692.22534375
transcript.pyannote[1678].speaker SPEAKER_08
transcript.pyannote[1678].start 8692.03971875
transcript.pyannote[1678].end 8695.24596875
transcript.pyannote[1679].speaker SPEAKER_17
transcript.pyannote[1679].start 8694.89159375
transcript.pyannote[1679].end 8695.31346875
transcript.pyannote[1680].speaker SPEAKER_08
transcript.pyannote[1680].start 8695.31346875
transcript.pyannote[1680].end 8697.00096875
transcript.pyannote[1681].speaker SPEAKER_08
transcript.pyannote[1681].start 8697.33846875
transcript.pyannote[1681].end 8697.37221875
transcript.pyannote[1682].speaker SPEAKER_17
transcript.pyannote[1682].start 8697.37221875
transcript.pyannote[1682].end 8717.11596875
transcript.pyannote[1683].speaker SPEAKER_17
transcript.pyannote[1683].start 8717.45346875
transcript.pyannote[1683].end 8722.00971875
transcript.pyannote[1684].speaker SPEAKER_17
transcript.pyannote[1684].start 8722.53284375
transcript.pyannote[1684].end 8724.89534375
transcript.pyannote[1685].speaker SPEAKER_17
transcript.pyannote[1685].start 8725.16534375
transcript.pyannote[1685].end 8725.26659375
transcript.pyannote[1686].speaker SPEAKER_17
transcript.pyannote[1686].start 8725.70534375
transcript.pyannote[1686].end 8727.74721875
transcript.pyannote[1687].speaker SPEAKER_08
transcript.pyannote[1687].start 8728.11846875
transcript.pyannote[1687].end 8746.27596875
transcript.pyannote[1688].speaker SPEAKER_08
transcript.pyannote[1688].start 8746.71471875
transcript.pyannote[1688].end 8747.17034375
transcript.pyannote[1689].speaker SPEAKER_08
transcript.pyannote[1689].start 8747.42346875
transcript.pyannote[1689].end 8751.10221875
transcript.pyannote[1690].speaker SPEAKER_08
transcript.pyannote[1690].start 8751.43971875
transcript.pyannote[1690].end 8752.18221875
transcript.pyannote[1691].speaker SPEAKER_08
transcript.pyannote[1691].start 8752.46909375
transcript.pyannote[1691].end 8754.93284375
transcript.pyannote[1692].speaker SPEAKER_08
transcript.pyannote[1692].start 8755.40534375
transcript.pyannote[1692].end 8760.23159375
transcript.pyannote[1693].speaker SPEAKER_08
transcript.pyannote[1693].start 8760.67034375
transcript.pyannote[1693].end 8762.77971875
transcript.pyannote[1694].speaker SPEAKER_08
transcript.pyannote[1694].start 8762.91471875
transcript.pyannote[1694].end 8764.48409375
transcript.pyannote[1695].speaker SPEAKER_08
transcript.pyannote[1695].start 8764.66971875
transcript.pyannote[1695].end 8766.01971875
transcript.pyannote[1696].speaker SPEAKER_08
transcript.pyannote[1696].start 8766.45846875
transcript.pyannote[1696].end 8775.25034375
transcript.pyannote[1697].speaker SPEAKER_08
transcript.pyannote[1697].start 8775.87471875
transcript.pyannote[1697].end 8780.92034375
transcript.pyannote[1698].speaker SPEAKER_08
transcript.pyannote[1698].start 8781.30846875
transcript.pyannote[1698].end 8793.54284375
transcript.pyannote[1699].speaker SPEAKER_08
transcript.pyannote[1699].start 8794.08284375
transcript.pyannote[1699].end 8797.23846875
transcript.pyannote[1700].speaker SPEAKER_08
transcript.pyannote[1700].start 8797.77846875
transcript.pyannote[1700].end 8799.02721875
transcript.pyannote[1701].speaker SPEAKER_20
transcript.pyannote[1701].start 8799.97221875
transcript.pyannote[1701].end 8805.97971875
transcript.pyannote[1702].speaker SPEAKER_08
transcript.pyannote[1702].start 8803.56659375
transcript.pyannote[1702].end 8805.38909375
transcript.pyannote[1703].speaker SPEAKER_08
transcript.pyannote[1703].start 8805.97971875
transcript.pyannote[1703].end 8810.85659375
transcript.pyannote[1704].speaker SPEAKER_20
transcript.pyannote[1704].start 8810.73846875
transcript.pyannote[1704].end 8810.75534375
transcript.pyannote[1705].speaker SPEAKER_23
transcript.pyannote[1705].start 8810.75534375
transcript.pyannote[1705].end 8810.77221875
transcript.pyannote[1706].speaker SPEAKER_20
transcript.pyannote[1706].start 8810.77221875
transcript.pyannote[1706].end 8811.31221875
transcript.pyannote[1707].speaker SPEAKER_08
transcript.pyannote[1707].start 8810.94096875
transcript.pyannote[1707].end 8813.67471875
transcript.pyannote[1708].speaker SPEAKER_23
transcript.pyannote[1708].start 8811.31221875
transcript.pyannote[1708].end 8811.46409375
transcript.pyannote[1709].speaker SPEAKER_08
transcript.pyannote[1709].start 8814.11346875
transcript.pyannote[1709].end 8816.98221875
transcript.pyannote[1710].speaker SPEAKER_20
transcript.pyannote[1710].start 8816.98221875
transcript.pyannote[1710].end 8817.57284375
transcript.pyannote[1711].speaker SPEAKER_20
transcript.pyannote[1711].start 8818.07909375
transcript.pyannote[1711].end 8822.01096875
transcript.pyannote[1712].speaker SPEAKER_20
transcript.pyannote[1712].start 8822.34846875
transcript.pyannote[1712].end 8823.85034375
transcript.pyannote[1713].speaker SPEAKER_08
transcript.pyannote[1713].start 8823.12471875
transcript.pyannote[1713].end 8838.43034375
transcript.pyannote[1714].speaker SPEAKER_20
transcript.pyannote[1714].start 8825.90909375
transcript.pyannote[1714].end 8826.19596875
transcript.pyannote[1715].speaker SPEAKER_20
transcript.pyannote[1715].start 8826.56721875
transcript.pyannote[1715].end 8830.85346875
transcript.pyannote[1716].speaker SPEAKER_08
transcript.pyannote[1716].start 8838.91971875
transcript.pyannote[1716].end 8846.93534375
transcript.pyannote[1717].speaker SPEAKER_08
transcript.pyannote[1717].start 8847.62721875
transcript.pyannote[1717].end 8847.91409375
transcript.pyannote[1718].speaker SPEAKER_21
transcript.pyannote[1718].start 8847.74534375
transcript.pyannote[1718].end 8848.06596875
transcript.pyannote[1719].speaker SPEAKER_21
transcript.pyannote[1719].start 8848.99409375
transcript.pyannote[1719].end 8851.62659375
transcript.pyannote[1720].speaker SPEAKER_21
transcript.pyannote[1720].start 8852.08221875
transcript.pyannote[1720].end 8862.47721875
transcript.pyannote[1721].speaker SPEAKER_14
transcript.pyannote[1721].start 8864.89034375
transcript.pyannote[1721].end 8865.56534375
transcript.pyannote[1722].speaker SPEAKER_01
transcript.pyannote[1722].start 8870.45909375
transcript.pyannote[1722].end 8871.48846875
transcript.pyannote[1723].speaker SPEAKER_01
transcript.pyannote[1723].start 8872.23096875
transcript.pyannote[1723].end 8875.08284375
transcript.pyannote[1724].speaker SPEAKER_21
transcript.pyannote[1724].start 8875.53846875
transcript.pyannote[1724].end 8876.51721875
transcript.pyannote[1725].speaker SPEAKER_01
transcript.pyannote[1725].start 8875.57221875
transcript.pyannote[1725].end 8878.01909375
transcript.pyannote[1726].speaker SPEAKER_21
transcript.pyannote[1726].start 8878.01909375
transcript.pyannote[1726].end 8878.76159375
transcript.pyannote[1727].speaker SPEAKER_01
transcript.pyannote[1727].start 8884.78596875
transcript.pyannote[1727].end 8885.41034375
transcript.pyannote[1728].speaker SPEAKER_01
transcript.pyannote[1728].start 8885.69721875
transcript.pyannote[1728].end 8886.15284375
transcript.pyannote[1729].speaker SPEAKER_01
transcript.pyannote[1729].start 8886.57471875
transcript.pyannote[1729].end 8891.55284375
transcript.pyannote[1730].speaker SPEAKER_01
transcript.pyannote[1730].start 8891.78909375
transcript.pyannote[1730].end 8895.07971875
transcript.pyannote[1731].speaker SPEAKER_01
transcript.pyannote[1731].start 8895.38346875
transcript.pyannote[1731].end 8898.99471875
transcript.pyannote[1732].speaker SPEAKER_01
transcript.pyannote[1732].start 8899.02846875
transcript.pyannote[1732].end 8904.91784375
transcript.pyannote[1733].speaker SPEAKER_01
transcript.pyannote[1733].start 8905.69409375
transcript.pyannote[1733].end 8905.99784375
transcript.pyannote[1734].speaker SPEAKER_01
transcript.pyannote[1734].start 8906.35221875
transcript.pyannote[1734].end 8910.94221875
transcript.pyannote[1735].speaker SPEAKER_01
transcript.pyannote[1735].start 8911.24596875
transcript.pyannote[1735].end 8926.29846875
transcript.pyannote[1736].speaker SPEAKER_01
transcript.pyannote[1736].start 8926.38284375
transcript.pyannote[1736].end 8926.97346875
transcript.pyannote[1737].speaker SPEAKER_22
transcript.pyannote[1737].start 8926.97346875
transcript.pyannote[1737].end 8927.95221875
transcript.pyannote[1738].speaker SPEAKER_01
transcript.pyannote[1738].start 8927.95221875
transcript.pyannote[1738].end 8928.03659375
transcript.pyannote[1739].speaker SPEAKER_22
transcript.pyannote[1739].start 8928.03659375
transcript.pyannote[1739].end 8928.05346875
transcript.pyannote[1740].speaker SPEAKER_01
transcript.pyannote[1740].start 8928.05346875
transcript.pyannote[1740].end 8928.13784375
transcript.pyannote[1741].speaker SPEAKER_22
transcript.pyannote[1741].start 8928.13784375
transcript.pyannote[1741].end 8931.14159375
transcript.pyannote[1742].speaker SPEAKER_22
transcript.pyannote[1742].start 8931.32721875
transcript.pyannote[1742].end 8939.73096875
transcript.pyannote[1743].speaker SPEAKER_20
transcript.pyannote[1743].start 8939.73096875
transcript.pyannote[1743].end 8942.27909375
transcript.pyannote[1744].speaker SPEAKER_22
transcript.pyannote[1744].start 8941.23284375
transcript.pyannote[1744].end 8944.11846875
transcript.pyannote[1745].speaker SPEAKER_01
transcript.pyannote[1745].start 8942.27909375
transcript.pyannote[1745].end 8942.86971875
transcript.pyannote[1746].speaker SPEAKER_20
transcript.pyannote[1746].start 8942.86971875
transcript.pyannote[1746].end 8943.03846875
transcript.pyannote[1747].speaker SPEAKER_01
transcript.pyannote[1747].start 8943.03846875
transcript.pyannote[1747].end 8948.69159375
transcript.pyannote[1748].speaker SPEAKER_22
transcript.pyannote[1748].start 8948.69159375
transcript.pyannote[1748].end 8949.63659375
transcript.pyannote[1749].speaker SPEAKER_01
transcript.pyannote[1749].start 8949.63659375
transcript.pyannote[1749].end 8949.65346875
transcript.pyannote[1750].speaker SPEAKER_22
transcript.pyannote[1750].start 8949.65346875
transcript.pyannote[1750].end 8949.95721875
transcript.pyannote[1751].speaker SPEAKER_01
transcript.pyannote[1751].start 8949.95721875
transcript.pyannote[1751].end 8953.88909375
transcript.pyannote[1752].speaker SPEAKER_22
transcript.pyannote[1752].start 8950.02471875
transcript.pyannote[1752].end 8950.04159375
transcript.pyannote[1753].speaker SPEAKER_22
transcript.pyannote[1753].start 8950.07534375
transcript.pyannote[1753].end 8951.74596875
transcript.pyannote[1754].speaker SPEAKER_22
transcript.pyannote[1754].start 8953.33221875
transcript.pyannote[1754].end 8955.96471875
transcript.pyannote[1755].speaker SPEAKER_01
transcript.pyannote[1755].start 8954.81721875
transcript.pyannote[1755].end 8956.97721875
transcript.pyannote[1756].speaker SPEAKER_01
transcript.pyannote[1756].start 8957.34846875
transcript.pyannote[1756].end 8961.26346875
transcript.pyannote[1757].speaker SPEAKER_22
transcript.pyannote[1757].start 8960.95971875
transcript.pyannote[1757].end 8961.02721875
transcript.pyannote[1758].speaker SPEAKER_20
transcript.pyannote[1758].start 8961.02721875
transcript.pyannote[1758].end 8962.46159375
transcript.pyannote[1759].speaker SPEAKER_01
transcript.pyannote[1759].start 8962.49534375
transcript.pyannote[1759].end 8966.81534375
transcript.pyannote[1760].speaker SPEAKER_01
transcript.pyannote[1760].start 8968.38471875
transcript.pyannote[1760].end 8973.80159375
transcript.pyannote[1761].speaker SPEAKER_01
transcript.pyannote[1761].start 8974.44284375
transcript.pyannote[1761].end 8977.02471875
transcript.pyannote[1762].speaker SPEAKER_01
transcript.pyannote[1762].start 8977.73346875
transcript.pyannote[1762].end 8983.50471875
transcript.pyannote[1763].speaker SPEAKER_01
transcript.pyannote[1763].start 8984.60159375
transcript.pyannote[1763].end 8987.30159375
transcript.pyannote[1764].speaker SPEAKER_01
transcript.pyannote[1764].start 8988.01034375
transcript.pyannote[1764].end 8988.95534375
transcript.pyannote[1765].speaker SPEAKER_01
transcript.pyannote[1765].start 8989.19159375
transcript.pyannote[1765].end 8991.21659375
transcript.pyannote[1766].speaker SPEAKER_01
transcript.pyannote[1766].start 8991.31784375
transcript.pyannote[1766].end 9008.39534375
transcript.pyannote[1767].speaker SPEAKER_01
transcript.pyannote[1767].start 9009.18846875
transcript.pyannote[1767].end 9009.74534375
transcript.pyannote[1768].speaker SPEAKER_01
transcript.pyannote[1768].start 9010.01534375
transcript.pyannote[1768].end 9010.04909375
transcript.pyannote[1769].speaker SPEAKER_01
transcript.pyannote[1769].start 9011.23034375
transcript.pyannote[1769].end 9014.67284375
transcript.pyannote[1770].speaker SPEAKER_01
transcript.pyannote[1770].start 9014.97659375
transcript.pyannote[1770].end 9031.96971875
transcript.pyannote[1771].speaker SPEAKER_01
transcript.pyannote[1771].start 9032.32409375
transcript.pyannote[1771].end 9034.23096875
transcript.pyannote[1772].speaker SPEAKER_01
transcript.pyannote[1772].start 9034.70346875
transcript.pyannote[1772].end 9042.01034375
transcript.pyannote[1773].speaker SPEAKER_01
transcript.pyannote[1773].start 9042.41534375
transcript.pyannote[1773].end 9043.24221875
transcript.pyannote[1774].speaker SPEAKER_01
transcript.pyannote[1774].start 9043.86659375
transcript.pyannote[1774].end 9045.73971875
transcript.pyannote[1775].speaker SPEAKER_01
transcript.pyannote[1775].start 9046.46534375
transcript.pyannote[1775].end 9049.33409375
transcript.pyannote[1776].speaker SPEAKER_01
transcript.pyannote[1776].start 9049.92471875
transcript.pyannote[1776].end 9052.54034375
transcript.pyannote[1777].speaker SPEAKER_01
transcript.pyannote[1777].start 9053.43471875
transcript.pyannote[1777].end 9056.06721875
transcript.pyannote[1778].speaker SPEAKER_01
transcript.pyannote[1778].start 9056.08409375
transcript.pyannote[1778].end 9075.11909375
transcript.pyannote[1779].speaker SPEAKER_01
transcript.pyannote[1779].start 9075.62534375
transcript.pyannote[1779].end 9077.97096875
transcript.pyannote[1780].speaker SPEAKER_01
transcript.pyannote[1780].start 9078.37596875
transcript.pyannote[1780].end 9081.19409375
transcript.pyannote[1781].speaker SPEAKER_01
transcript.pyannote[1781].start 9081.66659375
transcript.pyannote[1781].end 9082.15596875
transcript.pyannote[1782].speaker SPEAKER_01
transcript.pyannote[1782].start 9082.40909375
transcript.pyannote[1782].end 9083.69159375
transcript.pyannote[1783].speaker SPEAKER_01
transcript.pyannote[1783].start 9084.21471875
transcript.pyannote[1783].end 9090.15471875
transcript.pyannote[1784].speaker SPEAKER_01
transcript.pyannote[1784].start 9090.61034375
transcript.pyannote[1784].end 9092.48346875
transcript.pyannote[1785].speaker SPEAKER_01
transcript.pyannote[1785].start 9092.97284375
transcript.pyannote[1785].end 9095.62221875
transcript.pyannote[1786].speaker SPEAKER_01
transcript.pyannote[1786].start 9096.02721875
transcript.pyannote[1786].end 9099.97596875
transcript.pyannote[1787].speaker SPEAKER_22
transcript.pyannote[1787].start 9099.97596875
transcript.pyannote[1787].end 9100.58346875
transcript.pyannote[1788].speaker SPEAKER_01
transcript.pyannote[1788].start 9100.58346875
transcript.pyannote[1788].end 9100.65096875
transcript.pyannote[1789].speaker SPEAKER_22
transcript.pyannote[1789].start 9100.65096875
transcript.pyannote[1789].end 9109.02096875
transcript.pyannote[1790].speaker SPEAKER_22
transcript.pyannote[1790].start 9109.74659375
transcript.pyannote[1790].end 9111.65346875
transcript.pyannote[1791].speaker SPEAKER_22
transcript.pyannote[1791].start 9112.00784375
transcript.pyannote[1791].end 9117.59346875
transcript.pyannote[1792].speaker SPEAKER_22
transcript.pyannote[1792].start 9117.86346875
transcript.pyannote[1792].end 9120.59721875
transcript.pyannote[1793].speaker SPEAKER_22
transcript.pyannote[1793].start 9121.79534375
transcript.pyannote[1793].end 9123.55034375
transcript.pyannote[1794].speaker SPEAKER_22
transcript.pyannote[1794].start 9123.80346875
transcript.pyannote[1794].end 9125.13659375
transcript.pyannote[1795].speaker SPEAKER_22
transcript.pyannote[1795].start 9125.96346875
transcript.pyannote[1795].end 9134.19846875
transcript.pyannote[1796].speaker SPEAKER_01
transcript.pyannote[1796].start 9127.88721875
transcript.pyannote[1796].end 9129.70971875
transcript.pyannote[1797].speaker SPEAKER_01
transcript.pyannote[1797].start 9130.03034375
transcript.pyannote[1797].end 9145.23471875
transcript.pyannote[1798].speaker SPEAKER_00
transcript.pyannote[1798].start 9138.16409375
transcript.pyannote[1798].end 9139.34534375
transcript.pyannote[1799].speaker SPEAKER_22
transcript.pyannote[1799].start 9139.34534375
transcript.pyannote[1799].end 9141.13409375
transcript.pyannote[1800].speaker SPEAKER_00
transcript.pyannote[1800].start 9141.13409375
transcript.pyannote[1800].end 9141.16784375
transcript.pyannote[1801].speaker SPEAKER_22
transcript.pyannote[1801].start 9144.64409375
transcript.pyannote[1801].end 9144.84659375
transcript.pyannote[1802].speaker SPEAKER_22
transcript.pyannote[1802].start 9145.23471875
transcript.pyannote[1802].end 9150.83721875
transcript.pyannote[1803].speaker SPEAKER_01
transcript.pyannote[1803].start 9145.53846875
transcript.pyannote[1803].end 9145.90971875
transcript.pyannote[1804].speaker SPEAKER_01
transcript.pyannote[1804].start 9148.15409375
transcript.pyannote[1804].end 9148.40721875
transcript.pyannote[1805].speaker SPEAKER_01
transcript.pyannote[1805].start 9149.30159375
transcript.pyannote[1805].end 9150.41534375
transcript.pyannote[1806].speaker SPEAKER_22
transcript.pyannote[1806].start 9150.85409375
transcript.pyannote[1806].end 9153.52034375
transcript.pyannote[1807].speaker SPEAKER_01
transcript.pyannote[1807].start 9152.13659375
transcript.pyannote[1807].end 9156.72659375
transcript.pyannote[1808].speaker SPEAKER_01
transcript.pyannote[1808].start 9157.46909375
transcript.pyannote[1808].end 9179.23784375
transcript.pyannote[1809].speaker SPEAKER_01
transcript.pyannote[1809].start 9180.19971875
transcript.pyannote[1809].end 9188.82284375
transcript.pyannote[1810].speaker SPEAKER_01
transcript.pyannote[1810].start 9189.48096875
transcript.pyannote[1810].end 9198.96471875
transcript.pyannote[1811].speaker SPEAKER_12
transcript.pyannote[1811].start 9194.54346875
transcript.pyannote[1811].end 9194.69534375
transcript.pyannote[1812].speaker SPEAKER_22
transcript.pyannote[1812].start 9198.96471875
transcript.pyannote[1812].end 9206.62596875
transcript.pyannote[1813].speaker SPEAKER_01
transcript.pyannote[1813].start 9202.08659375
transcript.pyannote[1813].end 9203.80784375
transcript.pyannote[1814].speaker SPEAKER_01
transcript.pyannote[1814].start 9205.03971875
transcript.pyannote[1814].end 9216.36284375
transcript.pyannote[1815].speaker SPEAKER_22
transcript.pyannote[1815].start 9207.04784375
transcript.pyannote[1815].end 9207.09846875
transcript.pyannote[1816].speaker SPEAKER_01
transcript.pyannote[1816].start 9216.61596875
transcript.pyannote[1816].end 9223.55159375
transcript.pyannote[1817].speaker SPEAKER_01
transcript.pyannote[1817].start 9223.92284375
transcript.pyannote[1817].end 9227.19659375
transcript.pyannote[1818].speaker SPEAKER_01
transcript.pyannote[1818].start 9227.88846875
transcript.pyannote[1818].end 9228.85034375
transcript.pyannote[1819].speaker SPEAKER_22
transcript.pyannote[1819].start 9229.55909375
transcript.pyannote[1819].end 9230.18346875
transcript.pyannote[1820].speaker SPEAKER_01
transcript.pyannote[1820].start 9229.55909375
transcript.pyannote[1820].end 9245.03346875
transcript.pyannote[1821].speaker SPEAKER_22
transcript.pyannote[1821].start 9234.01409375
transcript.pyannote[1821].end 9235.93784375
transcript.pyannote[1822].speaker SPEAKER_01
transcript.pyannote[1822].start 9245.62409375
transcript.pyannote[1822].end 9248.72909375
transcript.pyannote[1823].speaker SPEAKER_22
transcript.pyannote[1823].start 9245.82659375
transcript.pyannote[1823].end 9246.82221875
transcript.pyannote[1824].speaker SPEAKER_22
transcript.pyannote[1824].start 9247.44659375
transcript.pyannote[1824].end 9248.00346875
transcript.pyannote[1825].speaker SPEAKER_01
transcript.pyannote[1825].start 9250.04534375
transcript.pyannote[1825].end 9252.01971875
transcript.pyannote[1826].speaker SPEAKER_01
transcript.pyannote[1826].start 9252.79596875
transcript.pyannote[1826].end 9254.38221875
transcript.pyannote[1827].speaker SPEAKER_01
transcript.pyannote[1827].start 9255.34409375
transcript.pyannote[1827].end 9269.48534375
transcript.pyannote[1828].speaker SPEAKER_01
transcript.pyannote[1828].start 9270.29534375
transcript.pyannote[1828].end 9270.93659375
transcript.pyannote[1829].speaker SPEAKER_01
transcript.pyannote[1829].start 9271.15596875
transcript.pyannote[1829].end 9272.21909375
transcript.pyannote[1830].speaker SPEAKER_01
transcript.pyannote[1830].start 9273.26534375
transcript.pyannote[1830].end 9274.95284375
transcript.pyannote[1831].speaker SPEAKER_01
transcript.pyannote[1831].start 9275.52659375
transcript.pyannote[1831].end 9282.93471875
transcript.pyannote[1832].speaker SPEAKER_20
transcript.pyannote[1832].start 9278.76659375
transcript.pyannote[1832].end 9280.89284375
transcript.pyannote[1833].speaker SPEAKER_20
transcript.pyannote[1833].start 9281.82096875
transcript.pyannote[1833].end 9284.33534375
transcript.pyannote[1834].speaker SPEAKER_01
transcript.pyannote[1834].start 9284.03159375
transcript.pyannote[1834].end 9290.05596875
transcript.pyannote[1835].speaker SPEAKER_01
transcript.pyannote[1835].start 9290.59596875
transcript.pyannote[1835].end 9301.17659375
transcript.pyannote[1836].speaker SPEAKER_01
transcript.pyannote[1836].start 9302.40846875
transcript.pyannote[1836].end 9304.95659375
transcript.pyannote[1837].speaker SPEAKER_01
transcript.pyannote[1837].start 9305.17596875
transcript.pyannote[1837].end 9305.95221875
transcript.pyannote[1838].speaker SPEAKER_01
transcript.pyannote[1838].start 9306.82971875
transcript.pyannote[1838].end 9307.69034375
transcript.pyannote[1839].speaker SPEAKER_01
transcript.pyannote[1839].start 9307.97721875
transcript.pyannote[1839].end 9309.41159375
transcript.pyannote[1840].speaker SPEAKER_01
transcript.pyannote[1840].start 9310.20471875
transcript.pyannote[1840].end 9318.82784375
transcript.pyannote[1841].speaker SPEAKER_01
transcript.pyannote[1841].start 9319.51971875
transcript.pyannote[1841].end 9330.62346875
transcript.pyannote[1842].speaker SPEAKER_01
transcript.pyannote[1842].start 9331.46721875
transcript.pyannote[1842].end 9334.11659375
transcript.pyannote[1843].speaker SPEAKER_01
transcript.pyannote[1843].start 9334.89284375
transcript.pyannote[1843].end 9337.47471875
transcript.pyannote[1844].speaker SPEAKER_01
transcript.pyannote[1844].start 9337.77846875
transcript.pyannote[1844].end 9340.27596875
transcript.pyannote[1845].speaker SPEAKER_01
transcript.pyannote[1845].start 9340.76534375
transcript.pyannote[1845].end 9343.90409375
transcript.pyannote[1846].speaker SPEAKER_01
transcript.pyannote[1846].start 9344.22471875
transcript.pyannote[1846].end 9354.45096875
transcript.pyannote[1847].speaker SPEAKER_01
transcript.pyannote[1847].start 9354.72096875
transcript.pyannote[1847].end 9358.53471875
transcript.pyannote[1848].speaker SPEAKER_01
transcript.pyannote[1848].start 9359.53034375
transcript.pyannote[1848].end 9364.03596875
transcript.pyannote[1849].speaker SPEAKER_01
transcript.pyannote[1849].start 9364.30596875
transcript.pyannote[1849].end 9368.76096875
transcript.pyannote[1850].speaker SPEAKER_01
transcript.pyannote[1850].start 9369.31784375
transcript.pyannote[1850].end 9373.16534375
transcript.pyannote[1851].speaker SPEAKER_01
transcript.pyannote[1851].start 9373.95846875
transcript.pyannote[1851].end 9375.10596875
transcript.pyannote[1852].speaker SPEAKER_01
transcript.pyannote[1852].start 9375.20721875
transcript.pyannote[1852].end 9377.60346875
transcript.pyannote[1853].speaker SPEAKER_01
transcript.pyannote[1853].start 9377.97471875
transcript.pyannote[1853].end 9380.87721875
transcript.pyannote[1854].speaker SPEAKER_01
transcript.pyannote[1854].start 9381.24846875
transcript.pyannote[1854].end 9385.73721875
transcript.pyannote[1855].speaker SPEAKER_22
transcript.pyannote[1855].start 9386.34471875
transcript.pyannote[1855].end 9387.50909375
transcript.pyannote[1856].speaker SPEAKER_01
transcript.pyannote[1856].start 9388.43721875
transcript.pyannote[1856].end 9388.77471875
transcript.pyannote[1857].speaker SPEAKER_22
transcript.pyannote[1857].start 9388.77471875
transcript.pyannote[1857].end 9389.61846875
transcript.pyannote[1858].speaker SPEAKER_01
transcript.pyannote[1858].start 9389.93909375
transcript.pyannote[1858].end 9389.97284375
transcript.pyannote[1859].speaker SPEAKER_22
transcript.pyannote[1859].start 9389.97284375
transcript.pyannote[1859].end 9390.41159375
transcript.pyannote[1860].speaker SPEAKER_01
transcript.pyannote[1860].start 9390.41159375
transcript.pyannote[1860].end 9390.44534375
transcript.pyannote[1861].speaker SPEAKER_22
transcript.pyannote[1861].start 9390.44534375
transcript.pyannote[1861].end 9390.46221875
transcript.pyannote[1862].speaker SPEAKER_01
transcript.pyannote[1862].start 9390.46221875
transcript.pyannote[1862].end 9390.47909375
transcript.pyannote[1863].speaker SPEAKER_22
transcript.pyannote[1863].start 9391.69409375
transcript.pyannote[1863].end 9397.58346875
transcript.pyannote[1864].speaker SPEAKER_01
transcript.pyannote[1864].start 9397.58346875
transcript.pyannote[1864].end 9398.51159375
transcript.pyannote[1865].speaker SPEAKER_22
transcript.pyannote[1865].start 9399.18659375
transcript.pyannote[1865].end 9399.20346875
transcript.pyannote[1866].speaker SPEAKER_01
transcript.pyannote[1866].start 9399.20346875
transcript.pyannote[1866].end 9399.28784375
transcript.pyannote[1867].speaker SPEAKER_22
transcript.pyannote[1867].start 9399.28784375
transcript.pyannote[1867].end 9399.30471875
transcript.pyannote[1868].speaker SPEAKER_01
transcript.pyannote[1868].start 9399.30471875
transcript.pyannote[1868].end 9399.35534375
transcript.pyannote[1869].speaker SPEAKER_22
transcript.pyannote[1869].start 9400.09784375
transcript.pyannote[1869].end 9400.11471875
transcript.pyannote[1870].speaker SPEAKER_01
transcript.pyannote[1870].start 9400.11471875
transcript.pyannote[1870].end 9400.84034375
transcript.pyannote[1871].speaker SPEAKER_22
transcript.pyannote[1871].start 9401.00909375
transcript.pyannote[1871].end 9401.02596875
transcript.pyannote[1872].speaker SPEAKER_01
transcript.pyannote[1872].start 9401.02596875
transcript.pyannote[1872].end 9401.75159375
transcript.pyannote[1873].speaker SPEAKER_01
transcript.pyannote[1873].start 9402.20721875
transcript.pyannote[1873].end 9409.14284375
transcript.pyannote[1874].speaker SPEAKER_00
transcript.pyannote[1874].start 9406.59471875
transcript.pyannote[1874].end 9406.81409375
transcript.pyannote[1875].speaker SPEAKER_00
transcript.pyannote[1875].start 9408.19784375
transcript.pyannote[1875].end 9408.38346875
transcript.pyannote[1876].speaker SPEAKER_01
transcript.pyannote[1876].start 9409.63221875
transcript.pyannote[1876].end 9411.96096875
transcript.pyannote[1877].speaker SPEAKER_01
transcript.pyannote[1877].start 9412.68659375
transcript.pyannote[1877].end 9413.24346875
transcript.pyannote[1878].speaker SPEAKER_01
transcript.pyannote[1878].start 9414.07034375
transcript.pyannote[1878].end 9415.09971875
transcript.pyannote[1879].speaker SPEAKER_01
transcript.pyannote[1879].start 9415.92659375
transcript.pyannote[1879].end 9416.34846875
transcript.pyannote[1880].speaker SPEAKER_01
transcript.pyannote[1880].start 9416.82096875
transcript.pyannote[1880].end 9419.84159375
transcript.pyannote[1881].speaker SPEAKER_01
transcript.pyannote[1881].start 9419.97659375
transcript.pyannote[1881].end 9428.76846875
transcript.pyannote[1882].speaker SPEAKER_01
transcript.pyannote[1882].start 9429.17346875
transcript.pyannote[1882].end 9435.11346875
transcript.pyannote[1883].speaker SPEAKER_20
transcript.pyannote[1883].start 9435.51846875
transcript.pyannote[1883].end 9436.22721875
transcript.pyannote[1884].speaker SPEAKER_21
transcript.pyannote[1884].start 9436.64909375
transcript.pyannote[1884].end 9437.30721875
transcript.pyannote[1885].speaker SPEAKER_21
transcript.pyannote[1885].start 9438.77534375
transcript.pyannote[1885].end 9440.32784375
transcript.pyannote[1886].speaker SPEAKER_21
transcript.pyannote[1886].start 9441.05346875
transcript.pyannote[1886].end 9445.13721875
transcript.pyannote[1887].speaker SPEAKER_21
transcript.pyannote[1887].start 9445.30596875
transcript.pyannote[1887].end 9461.08409375
transcript.pyannote[1888].speaker SPEAKER_21
transcript.pyannote[1888].start 9461.50596875
transcript.pyannote[1888].end 9466.16346875
transcript.pyannote[1889].speaker SPEAKER_21
transcript.pyannote[1889].start 9466.29846875
transcript.pyannote[1889].end 9472.08659375
transcript.pyannote[1890].speaker SPEAKER_21
transcript.pyannote[1890].start 9472.27221875
transcript.pyannote[1890].end 9476.50784375
transcript.pyannote[1891].speaker SPEAKER_21
transcript.pyannote[1891].start 9476.52471875
transcript.pyannote[1891].end 9476.54159375
transcript.pyannote[1892].speaker SPEAKER_21
transcript.pyannote[1892].start 9476.60909375
transcript.pyannote[1892].end 9481.57034375
transcript.pyannote[1893].speaker SPEAKER_21
transcript.pyannote[1893].start 9482.16096875
transcript.pyannote[1893].end 9491.62784375
transcript.pyannote[1894].speaker SPEAKER_21
transcript.pyannote[1894].start 9492.77534375
transcript.pyannote[1894].end 9505.93784375
transcript.pyannote[1895].speaker SPEAKER_11
transcript.pyannote[1895].start 9510.88221875
transcript.pyannote[1895].end 9513.43034375
transcript.pyannote[1896].speaker SPEAKER_21
transcript.pyannote[1896].start 9514.10534375
transcript.pyannote[1896].end 9515.92784375
transcript.pyannote[1897].speaker SPEAKER_11
transcript.pyannote[1897].start 9515.92784375
transcript.pyannote[1897].end 9520.02846875
transcript.pyannote[1898].speaker SPEAKER_21
transcript.pyannote[1898].start 9516.24846875
transcript.pyannote[1898].end 9516.48471875
transcript.pyannote[1899].speaker SPEAKER_11
transcript.pyannote[1899].start 9520.66971875
transcript.pyannote[1899].end 9523.18409375
transcript.pyannote[1900].speaker SPEAKER_11
transcript.pyannote[1900].start 9523.57221875
transcript.pyannote[1900].end 9524.02784375
transcript.pyannote[1901].speaker SPEAKER_22
transcript.pyannote[1901].start 9524.02784375
transcript.pyannote[1901].end 9524.44971875
transcript.pyannote[1902].speaker SPEAKER_11
transcript.pyannote[1902].start 9524.44971875
transcript.pyannote[1902].end 9524.46659375
transcript.pyannote[1903].speaker SPEAKER_22
transcript.pyannote[1903].start 9525.49596875
transcript.pyannote[1903].end 9528.90471875
transcript.pyannote[1904].speaker SPEAKER_22
transcript.pyannote[1904].start 9529.25909375
transcript.pyannote[1904].end 9529.29284375
transcript.pyannote[1905].speaker SPEAKER_11
transcript.pyannote[1905].start 9529.29284375
transcript.pyannote[1905].end 9531.31784375
transcript.pyannote[1906].speaker SPEAKER_11
transcript.pyannote[1906].start 9532.38096875
transcript.pyannote[1906].end 9532.87034375
transcript.pyannote[1907].speaker SPEAKER_11
transcript.pyannote[1907].start 9533.54534375
transcript.pyannote[1907].end 9547.18034375
transcript.pyannote[1908].speaker SPEAKER_11
transcript.pyannote[1908].start 9547.41659375
transcript.pyannote[1908].end 9555.97221875
transcript.pyannote[1909].speaker SPEAKER_11
transcript.pyannote[1909].start 9556.57971875
transcript.pyannote[1909].end 9559.56659375
transcript.pyannote[1910].speaker SPEAKER_11
transcript.pyannote[1910].start 9559.97159375
transcript.pyannote[1910].end 9568.61159375
transcript.pyannote[1911].speaker SPEAKER_22
transcript.pyannote[1911].start 9560.69721875
transcript.pyannote[1911].end 9561.62534375
transcript.pyannote[1912].speaker SPEAKER_11
transcript.pyannote[1912].start 9568.69596875
transcript.pyannote[1912].end 9570.60284375
transcript.pyannote[1913].speaker SPEAKER_11
transcript.pyannote[1913].start 9570.94034375
transcript.pyannote[1913].end 9576.27284375
transcript.pyannote[1914].speaker SPEAKER_22
transcript.pyannote[1914].start 9576.32346875
transcript.pyannote[1914].end 9583.44471875
transcript.pyannote[1915].speaker SPEAKER_22
transcript.pyannote[1915].start 9584.38971875
transcript.pyannote[1915].end 9593.97471875
transcript.pyannote[1916].speaker SPEAKER_11
transcript.pyannote[1916].start 9587.03909375
transcript.pyannote[1916].end 9587.42721875
transcript.pyannote[1917].speaker SPEAKER_11
transcript.pyannote[1917].start 9593.28284375
transcript.pyannote[1917].end 9593.89034375
transcript.pyannote[1918].speaker SPEAKER_11
transcript.pyannote[1918].start 9593.97471875
transcript.pyannote[1918].end 9600.01596875
transcript.pyannote[1919].speaker SPEAKER_22
transcript.pyannote[1919].start 9596.21909375
transcript.pyannote[1919].end 9598.44659375
transcript.pyannote[1920].speaker SPEAKER_22
transcript.pyannote[1920].start 9599.05409375
transcript.pyannote[1920].end 9602.05784375
transcript.pyannote[1921].speaker SPEAKER_11
transcript.pyannote[1921].start 9601.07909375
transcript.pyannote[1921].end 9602.98596875
transcript.pyannote[1922].speaker SPEAKER_11
transcript.pyannote[1922].start 9603.27284375
transcript.pyannote[1922].end 9620.06346875
transcript.pyannote[1923].speaker SPEAKER_22
transcript.pyannote[1923].start 9620.01284375
transcript.pyannote[1923].end 9623.45534375
transcript.pyannote[1924].speaker SPEAKER_11
transcript.pyannote[1924].start 9620.89034375
transcript.pyannote[1924].end 9621.26159375
transcript.pyannote[1925].speaker SPEAKER_11
transcript.pyannote[1925].start 9621.53159375
transcript.pyannote[1925].end 9621.66659375
transcript.pyannote[1926].speaker SPEAKER_11
transcript.pyannote[1926].start 9623.45534375
transcript.pyannote[1926].end 9644.75159375
transcript.pyannote[1927].speaker SPEAKER_22
transcript.pyannote[1927].start 9623.50596875
transcript.pyannote[1927].end 9623.53971875
transcript.pyannote[1928].speaker SPEAKER_22
transcript.pyannote[1928].start 9644.81909375
transcript.pyannote[1928].end 9652.10909375
transcript.pyannote[1929].speaker SPEAKER_11
transcript.pyannote[1929].start 9652.26096875
transcript.pyannote[1929].end 9652.59846875
transcript.pyannote[1930].speaker SPEAKER_22
transcript.pyannote[1930].start 9652.73346875
transcript.pyannote[1930].end 9652.96971875
transcript.pyannote[1931].speaker SPEAKER_11
transcript.pyannote[1931].start 9652.96971875
transcript.pyannote[1931].end 9669.60846875
transcript.pyannote[1932].speaker SPEAKER_22
transcript.pyannote[1932].start 9669.60846875
transcript.pyannote[1932].end 9669.62534375
transcript.pyannote[1933].speaker SPEAKER_11
transcript.pyannote[1933].start 9669.62534375
transcript.pyannote[1933].end 9669.64221875
transcript.pyannote[1934].speaker SPEAKER_11
transcript.pyannote[1934].start 9670.09784375
transcript.pyannote[1934].end 9670.14846875
transcript.pyannote[1935].speaker SPEAKER_22
transcript.pyannote[1935].start 9670.14846875
transcript.pyannote[1935].end 9680.49284375
transcript.pyannote[1936].speaker SPEAKER_11
transcript.pyannote[1936].start 9678.26534375
transcript.pyannote[1936].end 9678.34971875
transcript.pyannote[1937].speaker SPEAKER_11
transcript.pyannote[1937].start 9678.36659375
transcript.pyannote[1937].end 9678.38346875
transcript.pyannote[1938].speaker SPEAKER_11
transcript.pyannote[1938].start 9680.49284375
transcript.pyannote[1938].end 9680.50971875
transcript.pyannote[1939].speaker SPEAKER_22
transcript.pyannote[1939].start 9680.50971875
transcript.pyannote[1939].end 9680.52659375
transcript.pyannote[1940].speaker SPEAKER_11
transcript.pyannote[1940].start 9680.52659375
transcript.pyannote[1940].end 9680.54346875
transcript.pyannote[1941].speaker SPEAKER_22
transcript.pyannote[1941].start 9680.54346875
transcript.pyannote[1941].end 9681.16784375
transcript.pyannote[1942].speaker SPEAKER_11
transcript.pyannote[1942].start 9680.57721875
transcript.pyannote[1942].end 9680.74596875
transcript.pyannote[1943].speaker SPEAKER_11
transcript.pyannote[1943].start 9681.16784375
transcript.pyannote[1943].end 9684.01971875
transcript.pyannote[1944].speaker SPEAKER_22
transcript.pyannote[1944].start 9684.01971875
transcript.pyannote[1944].end 9688.00221875
transcript.pyannote[1945].speaker SPEAKER_22
transcript.pyannote[1945].start 9688.32284375
transcript.pyannote[1945].end 9691.30971875
transcript.pyannote[1946].speaker SPEAKER_22
transcript.pyannote[1946].start 9691.63034375
transcript.pyannote[1946].end 9695.54534375
transcript.pyannote[1947].speaker SPEAKER_22
transcript.pyannote[1947].start 9695.88284375
transcript.pyannote[1947].end 9700.92846875
transcript.pyannote[1948].speaker SPEAKER_22
transcript.pyannote[1948].start 9701.21534375
transcript.pyannote[1948].end 9701.46846875
transcript.pyannote[1949].speaker SPEAKER_22
transcript.pyannote[1949].start 9701.87346875
transcript.pyannote[1949].end 9702.48096875
transcript.pyannote[1950].speaker SPEAKER_22
transcript.pyannote[1950].start 9702.64971875
transcript.pyannote[1950].end 9705.97409375
transcript.pyannote[1951].speaker SPEAKER_11
transcript.pyannote[1951].start 9705.97409375
transcript.pyannote[1951].end 9708.82596875
transcript.pyannote[1952].speaker SPEAKER_11
transcript.pyannote[1952].start 9709.16346875
transcript.pyannote[1952].end 9726.74721875
transcript.pyannote[1953].speaker SPEAKER_11
transcript.pyannote[1953].start 9727.08471875
transcript.pyannote[1953].end 9733.21034375
transcript.pyannote[1954].speaker SPEAKER_11
transcript.pyannote[1954].start 9733.48034375
transcript.pyannote[1954].end 9739.03221875
transcript.pyannote[1955].speaker SPEAKER_22
transcript.pyannote[1955].start 9739.03221875
transcript.pyannote[1955].end 9751.94159375
transcript.pyannote[1956].speaker SPEAKER_11
transcript.pyannote[1956].start 9751.94159375
transcript.pyannote[1956].end 9752.22846875
transcript.pyannote[1957].speaker SPEAKER_22
transcript.pyannote[1957].start 9752.22846875
transcript.pyannote[1957].end 9756.16034375
transcript.pyannote[1958].speaker SPEAKER_11
transcript.pyannote[1958].start 9755.06346875
transcript.pyannote[1958].end 9759.11346875
transcript.pyannote[1959].speaker SPEAKER_22
transcript.pyannote[1959].start 9758.77596875
transcript.pyannote[1959].end 9759.18096875
transcript.pyannote[1960].speaker SPEAKER_11
transcript.pyannote[1960].start 9759.18096875
transcript.pyannote[1960].end 9764.59784375
transcript.pyannote[1961].speaker SPEAKER_22
transcript.pyannote[1961].start 9761.79659375
transcript.pyannote[1961].end 9762.28596875
transcript.pyannote[1962].speaker SPEAKER_22
transcript.pyannote[1962].start 9764.24346875
transcript.pyannote[1962].end 9770.43659375
transcript.pyannote[1963].speaker SPEAKER_11
transcript.pyannote[1963].start 9770.16659375
transcript.pyannote[1963].end 9824.06534375
transcript.pyannote[1964].speaker SPEAKER_22
transcript.pyannote[1964].start 9773.23784375
transcript.pyannote[1964].end 9774.55409375
transcript.pyannote[1965].speaker SPEAKER_11
transcript.pyannote[1965].start 9824.28471875
transcript.pyannote[1965].end 9826.02284375
transcript.pyannote[1966].speaker SPEAKER_22
transcript.pyannote[1966].start 9826.02284375
transcript.pyannote[1966].end 9826.12409375
transcript.pyannote[1967].speaker SPEAKER_11
transcript.pyannote[1967].start 9826.12409375
transcript.pyannote[1967].end 9826.36034375
transcript.pyannote[1968].speaker SPEAKER_22
transcript.pyannote[1968].start 9826.36034375
transcript.pyannote[1968].end 9826.47846875
transcript.pyannote[1969].speaker SPEAKER_11
transcript.pyannote[1969].start 9826.47846875
transcript.pyannote[1969].end 9826.52909375
transcript.pyannote[1970].speaker SPEAKER_22
transcript.pyannote[1970].start 9826.52909375
transcript.pyannote[1970].end 9826.54596875
transcript.pyannote[1971].speaker SPEAKER_11
transcript.pyannote[1971].start 9826.54596875
transcript.pyannote[1971].end 9826.59659375
transcript.pyannote[1972].speaker SPEAKER_22
transcript.pyannote[1972].start 9826.90034375
transcript.pyannote[1972].end 9831.01784375
transcript.pyannote[1973].speaker SPEAKER_22
transcript.pyannote[1973].start 9831.40596875
transcript.pyannote[1973].end 9833.81909375
transcript.pyannote[1974].speaker SPEAKER_22
transcript.pyannote[1974].start 9834.07221875
transcript.pyannote[1974].end 9838.17284375
transcript.pyannote[1975].speaker SPEAKER_22
transcript.pyannote[1975].start 9838.45971875
transcript.pyannote[1975].end 9839.28659375
transcript.pyannote[1976].speaker SPEAKER_22
transcript.pyannote[1976].start 9839.70846875
transcript.pyannote[1976].end 9844.72034375
transcript.pyannote[1977].speaker SPEAKER_22
transcript.pyannote[1977].start 9845.14221875
transcript.pyannote[1977].end 9847.13346875
transcript.pyannote[1978].speaker SPEAKER_22
transcript.pyannote[1978].start 9847.40346875
transcript.pyannote[1978].end 9851.41971875
transcript.pyannote[1979].speaker SPEAKER_22
transcript.pyannote[1979].start 9851.67284375
transcript.pyannote[1979].end 9862.67534375
transcript.pyannote[1980].speaker SPEAKER_11
transcript.pyannote[1980].start 9862.67534375
transcript.pyannote[1980].end 9867.31596875
transcript.pyannote[1981].speaker SPEAKER_22
transcript.pyannote[1981].start 9865.79721875
transcript.pyannote[1981].end 9867.24846875
transcript.pyannote[1982].speaker SPEAKER_22
transcript.pyannote[1982].start 9867.31596875
transcript.pyannote[1982].end 9867.38346875
transcript.pyannote[1983].speaker SPEAKER_11
transcript.pyannote[1983].start 9867.38346875
transcript.pyannote[1983].end 9870.50534375
transcript.pyannote[1984].speaker SPEAKER_22
transcript.pyannote[1984].start 9869.03721875
transcript.pyannote[1984].end 9869.23971875
transcript.pyannote[1985].speaker SPEAKER_22
transcript.pyannote[1985].start 9869.74596875
transcript.pyannote[1985].end 9870.64034375
transcript.pyannote[1986].speaker SPEAKER_11
transcript.pyannote[1986].start 9870.64034375
transcript.pyannote[1986].end 9870.75846875
transcript.pyannote[1987].speaker SPEAKER_22
transcript.pyannote[1987].start 9870.75846875
transcript.pyannote[1987].end 9870.84284375
transcript.pyannote[1988].speaker SPEAKER_11
transcript.pyannote[1988].start 9870.84284375
transcript.pyannote[1988].end 9871.34909375
transcript.pyannote[1989].speaker SPEAKER_22
transcript.pyannote[1989].start 9871.34909375
transcript.pyannote[1989].end 9871.38284375
transcript.pyannote[1990].speaker SPEAKER_11
transcript.pyannote[1990].start 9871.38284375
transcript.pyannote[1990].end 9871.43346875
transcript.pyannote[1991].speaker SPEAKER_22
transcript.pyannote[1991].start 9871.43346875
transcript.pyannote[1991].end 9875.50034375
transcript.pyannote[1992].speaker SPEAKER_22
transcript.pyannote[1992].start 9875.88846875
transcript.pyannote[1992].end 9878.85846875
transcript.pyannote[1993].speaker SPEAKER_22
transcript.pyannote[1993].start 9879.22971875
transcript.pyannote[1993].end 9882.41909375
transcript.pyannote[1994].speaker SPEAKER_22
transcript.pyannote[1994].start 9882.80721875
transcript.pyannote[1994].end 9883.80284375
transcript.pyannote[1995].speaker SPEAKER_22
transcript.pyannote[1995].start 9884.10659375
transcript.pyannote[1995].end 9892.18971875
transcript.pyannote[1996].speaker SPEAKER_11
transcript.pyannote[1996].start 9892.18971875
transcript.pyannote[1996].end 9899.49659375
transcript.pyannote[1997].speaker SPEAKER_11
transcript.pyannote[1997].start 9899.90159375
transcript.pyannote[1997].end 9901.03221875
transcript.pyannote[1998].speaker SPEAKER_22
transcript.pyannote[1998].start 9901.03221875
transcript.pyannote[1998].end 9908.38971875
transcript.pyannote[1999].speaker SPEAKER_22
transcript.pyannote[1999].start 9909.26721875
transcript.pyannote[1999].end 9920.05034375
transcript.pyannote[2000].speaker SPEAKER_11
transcript.pyannote[2000].start 9913.46909375
transcript.pyannote[2000].end 9914.54909375
transcript.pyannote[2001].speaker SPEAKER_00
transcript.pyannote[2001].start 9914.54909375
transcript.pyannote[2001].end 9914.56596875
transcript.pyannote[2002].speaker SPEAKER_11
transcript.pyannote[2002].start 9915.05534375
transcript.pyannote[2002].end 9915.67971875
transcript.pyannote[2003].speaker SPEAKER_11
transcript.pyannote[2003].start 9920.05034375
transcript.pyannote[2003].end 9935.17034375
transcript.pyannote[2004].speaker SPEAKER_11
transcript.pyannote[2004].start 9935.65971875
transcript.pyannote[2004].end 9936.19971875
transcript.pyannote[2005].speaker SPEAKER_11
transcript.pyannote[2005].start 9939.72659375
transcript.pyannote[2005].end 9941.98784375
transcript.pyannote[2006].speaker SPEAKER_11
transcript.pyannote[2006].start 9942.49409375
transcript.pyannote[2006].end 9943.16909375
transcript.pyannote[2007].speaker SPEAKER_11
transcript.pyannote[2007].start 9943.64159375
transcript.pyannote[2007].end 9944.85659375
transcript.pyannote[2008].speaker SPEAKER_22
transcript.pyannote[2008].start 9945.44721875
transcript.pyannote[2008].end 9953.27721875
transcript.pyannote[2009].speaker SPEAKER_22
transcript.pyannote[2009].start 9953.86784375
transcript.pyannote[2009].end 9962.28846875
transcript.pyannote[2010].speaker SPEAKER_22
transcript.pyannote[2010].start 9962.62596875
transcript.pyannote[2010].end 9970.96221875
transcript.pyannote[2011].speaker SPEAKER_11
transcript.pyannote[2011].start 9970.96221875
transcript.pyannote[2011].end 9978.03284375
transcript.pyannote[2012].speaker SPEAKER_22
transcript.pyannote[2012].start 9976.14284375
transcript.pyannote[2012].end 9976.56471875
transcript.pyannote[2013].speaker SPEAKER_22
transcript.pyannote[2013].start 9978.03284375
transcript.pyannote[2013].end 9986.11596875
transcript.pyannote[2014].speaker SPEAKER_22
transcript.pyannote[2014].start 9986.38596875
transcript.pyannote[2014].end 9989.69346875
transcript.pyannote[2015].speaker SPEAKER_22
transcript.pyannote[2015].start 9989.76096875
transcript.pyannote[2015].end 10004.42534375
transcript.pyannote[2016].speaker SPEAKER_11
transcript.pyannote[2016].start 10003.51409375
transcript.pyannote[2016].end 10004.40846875
transcript.pyannote[2017].speaker SPEAKER_11
transcript.pyannote[2017].start 10004.42534375
transcript.pyannote[2017].end 10021.16534375
transcript.pyannote[2018].speaker SPEAKER_22
transcript.pyannote[2018].start 10007.07471875
transcript.pyannote[2018].end 10008.55971875
transcript.pyannote[2019].speaker SPEAKER_22
transcript.pyannote[2019].start 10021.48596875
transcript.pyannote[2019].end 10021.94159375
transcript.pyannote[2020].speaker SPEAKER_22
transcript.pyannote[2020].start 10022.22846875
transcript.pyannote[2020].end 10046.34284375
transcript.pyannote[2021].speaker SPEAKER_11
transcript.pyannote[2021].start 10046.17409375
transcript.pyannote[2021].end 10090.26846875
transcript.pyannote[2022].speaker SPEAKER_22
transcript.pyannote[2022].start 10089.45846875
transcript.pyannote[2022].end 10090.20096875
transcript.pyannote[2023].speaker SPEAKER_11
transcript.pyannote[2023].start 10090.92659375
transcript.pyannote[2023].end 10091.17971875
transcript.pyannote[2024].speaker SPEAKER_22
transcript.pyannote[2024].start 10092.00659375
transcript.pyannote[2024].end 10092.02346875
transcript.pyannote[2025].speaker SPEAKER_11
transcript.pyannote[2025].start 10092.02346875
transcript.pyannote[2025].end 10093.08659375
transcript.pyannote[2026].speaker SPEAKER_22
transcript.pyannote[2026].start 10092.04034375
transcript.pyannote[2026].end 10093.03596875
transcript.pyannote[2027].speaker SPEAKER_22
transcript.pyannote[2027].start 10093.08659375
transcript.pyannote[2027].end 10093.22159375
transcript.pyannote[2028].speaker SPEAKER_11
transcript.pyannote[2028].start 10093.22159375
transcript.pyannote[2028].end 10132.75971875
transcript.pyannote[2029].speaker SPEAKER_11
transcript.pyannote[2029].start 10133.83971875
transcript.pyannote[2029].end 10134.91971875
transcript.pyannote[2030].speaker SPEAKER_11
transcript.pyannote[2030].start 10135.22346875
transcript.pyannote[2030].end 10136.13471875
transcript.pyannote[2031].speaker SPEAKER_22
transcript.pyannote[2031].start 10136.13471875
transcript.pyannote[2031].end 10143.71159375
transcript.pyannote[2032].speaker SPEAKER_11
transcript.pyannote[2032].start 10142.49659375
transcript.pyannote[2032].end 10143.39096875
transcript.pyannote[2033].speaker SPEAKER_21
transcript.pyannote[2033].start 10149.26346875
transcript.pyannote[2033].end 10149.70221875
transcript.pyannote[2034].speaker SPEAKER_21
transcript.pyannote[2034].start 10150.64721875
transcript.pyannote[2034].end 10153.63409375
transcript.pyannote[2035].speaker SPEAKER_07
transcript.pyannote[2035].start 10161.64971875
transcript.pyannote[2035].end 10166.10471875
transcript.pyannote[2036].speaker SPEAKER_21
transcript.pyannote[2036].start 10166.66159375
transcript.pyannote[2036].end 10167.52221875
transcript.pyannote[2037].speaker SPEAKER_21
transcript.pyannote[2037].start 10167.80909375
transcript.pyannote[2037].end 10168.21409375
transcript.pyannote[2038].speaker SPEAKER_07
transcript.pyannote[2038].start 10174.37346875
transcript.pyannote[2038].end 10175.06534375
transcript.pyannote[2039].speaker SPEAKER_07
transcript.pyannote[2039].start 10175.99346875
transcript.pyannote[2039].end 10177.56284375
transcript.pyannote[2040].speaker SPEAKER_07
transcript.pyannote[2040].start 10178.33909375
transcript.pyannote[2040].end 10188.29534375
transcript.pyannote[2041].speaker SPEAKER_07
transcript.pyannote[2041].start 10189.32471875
transcript.pyannote[2041].end 10190.21909375
transcript.pyannote[2042].speaker SPEAKER_07
transcript.pyannote[2042].start 10190.50596875
transcript.pyannote[2042].end 10195.51784375
transcript.pyannote[2043].speaker SPEAKER_12
transcript.pyannote[2043].start 10195.51784375
transcript.pyannote[2043].end 10195.88909375
transcript.pyannote[2044].speaker SPEAKER_07
transcript.pyannote[2044].start 10195.73721875
transcript.pyannote[2044].end 10218.13034375
transcript.pyannote[2045].speaker SPEAKER_07
transcript.pyannote[2045].start 10218.55221875
transcript.pyannote[2045].end 10218.99096875
transcript.pyannote[2046].speaker SPEAKER_07
transcript.pyannote[2046].start 10219.22721875
transcript.pyannote[2046].end 10241.77221875
transcript.pyannote[2047].speaker SPEAKER_07
transcript.pyannote[2047].start 10242.07596875
transcript.pyannote[2047].end 10282.60971875
transcript.pyannote[2048].speaker SPEAKER_07
transcript.pyannote[2048].start 10282.67721875
transcript.pyannote[2048].end 10286.76096875
transcript.pyannote[2049].speaker SPEAKER_07
transcript.pyannote[2049].start 10286.94659375
transcript.pyannote[2049].end 10290.03471875
transcript.pyannote[2050].speaker SPEAKER_07
transcript.pyannote[2050].start 10291.36784375
transcript.pyannote[2050].end 10291.38471875
transcript.pyannote[2051].speaker SPEAKER_14
transcript.pyannote[2051].start 10291.38471875
transcript.pyannote[2051].end 10343.08971875
transcript.pyannote[2052].speaker SPEAKER_12
transcript.pyannote[2052].start 10320.24096875
transcript.pyannote[2052].end 10320.56159375
transcript.pyannote[2053].speaker SPEAKER_14
transcript.pyannote[2053].start 10343.56221875
transcript.pyannote[2053].end 10355.12159375
transcript.pyannote[2054].speaker SPEAKER_07
transcript.pyannote[2054].start 10355.12159375
transcript.pyannote[2054].end 10358.02409375
transcript.pyannote[2055].speaker SPEAKER_14
transcript.pyannote[2055].start 10355.15534375
transcript.pyannote[2055].end 10356.01596875
transcript.pyannote[2056].speaker SPEAKER_07
transcript.pyannote[2056].start 10358.42909375
transcript.pyannote[2056].end 10361.16284375
transcript.pyannote[2057].speaker SPEAKER_07
transcript.pyannote[2057].start 10361.53409375
transcript.pyannote[2057].end 10384.85534375
transcript.pyannote[2058].speaker SPEAKER_14
transcript.pyannote[2058].start 10384.85534375
transcript.pyannote[2058].end 10384.87221875
transcript.pyannote[2059].speaker SPEAKER_07
transcript.pyannote[2059].start 10385.10846875
transcript.pyannote[2059].end 10385.12534375
transcript.pyannote[2060].speaker SPEAKER_14
transcript.pyannote[2060].start 10385.12534375
transcript.pyannote[2060].end 10385.61471875
transcript.pyannote[2061].speaker SPEAKER_14
transcript.pyannote[2061].start 10386.13784375
transcript.pyannote[2061].end 10405.39221875
transcript.pyannote[2062].speaker SPEAKER_07
transcript.pyannote[2062].start 10403.80596875
transcript.pyannote[2062].end 10421.94659375
transcript.pyannote[2063].speaker SPEAKER_14
transcript.pyannote[2063].start 10406.94471875
transcript.pyannote[2063].end 10407.56909375
transcript.pyannote[2064].speaker SPEAKER_07
transcript.pyannote[2064].start 10422.31784375
transcript.pyannote[2064].end 10434.58596875
transcript.pyannote[2065].speaker SPEAKER_23
transcript.pyannote[2065].start 10430.83971875
transcript.pyannote[2065].end 10431.02534375
transcript.pyannote[2066].speaker SPEAKER_12
transcript.pyannote[2066].start 10431.02534375
transcript.pyannote[2066].end 10431.22784375
transcript.pyannote[2067].speaker SPEAKER_23
transcript.pyannote[2067].start 10431.22784375
transcript.pyannote[2067].end 10431.41346875
transcript.pyannote[2068].speaker SPEAKER_07
transcript.pyannote[2068].start 10434.63659375
transcript.pyannote[2068].end 10438.09596875
transcript.pyannote[2069].speaker SPEAKER_07
transcript.pyannote[2069].start 10438.43346875
transcript.pyannote[2069].end 10448.38971875
transcript.pyannote[2070].speaker SPEAKER_07
transcript.pyannote[2070].start 10448.62596875
transcript.pyannote[2070].end 10481.43096875
transcript.pyannote[2071].speaker SPEAKER_07
transcript.pyannote[2071].start 10481.92034375
transcript.pyannote[2071].end 10483.06784375
transcript.pyannote[2072].speaker SPEAKER_07
transcript.pyannote[2072].start 10483.47284375
transcript.pyannote[2072].end 10484.09721875
transcript.pyannote[2073].speaker SPEAKER_21
transcript.pyannote[2073].start 10484.33346875
transcript.pyannote[2073].end 10484.97471875
transcript.pyannote[2074].speaker SPEAKER_21
transcript.pyannote[2074].start 10487.53971875
transcript.pyannote[2074].end 10487.91096875
transcript.pyannote[2075].speaker SPEAKER_21
transcript.pyannote[2075].start 10488.87284375
transcript.pyannote[2075].end 10493.59784375
transcript.pyannote[2076].speaker SPEAKER_21
transcript.pyannote[2076].start 10494.08721875
transcript.pyannote[2076].end 10496.53409375
transcript.pyannote[2077].speaker SPEAKER_21
transcript.pyannote[2077].start 10496.73659375
transcript.pyannote[2077].end 10497.69846875
transcript.pyannote[2078].speaker SPEAKER_21
transcript.pyannote[2078].start 10497.96846875
transcript.pyannote[2078].end 10501.00596875
transcript.pyannote[2079].speaker SPEAKER_21
transcript.pyannote[2079].start 10501.34346875
transcript.pyannote[2079].end 10512.91971875
transcript.pyannote[2080].speaker SPEAKER_03
transcript.pyannote[2080].start 10519.12971875
transcript.pyannote[2080].end 10521.64409375
transcript.pyannote[2081].speaker SPEAKER_03
transcript.pyannote[2081].start 10521.88034375
transcript.pyannote[2081].end 10523.06159375
transcript.pyannote[2082].speaker SPEAKER_03
transcript.pyannote[2082].start 10529.17034375
transcript.pyannote[2082].end 10571.71221875
transcript.pyannote[2083].speaker SPEAKER_03
transcript.pyannote[2083].start 10572.28596875
transcript.pyannote[2083].end 10599.64034375
transcript.pyannote[2084].speaker SPEAKER_03
transcript.pyannote[2084].start 10602.08721875
transcript.pyannote[2084].end 10603.57221875
transcript.pyannote[2085].speaker SPEAKER_20
transcript.pyannote[2085].start 10602.64409375
transcript.pyannote[2085].end 10608.85409375
transcript.pyannote[2086].speaker SPEAKER_03
transcript.pyannote[2086].start 10608.80346875
transcript.pyannote[2086].end 10625.57721875
transcript.pyannote[2087].speaker SPEAKER_12
transcript.pyannote[2087].start 10625.47596875
transcript.pyannote[2087].end 10625.79659375
transcript.pyannote[2088].speaker SPEAKER_03
transcript.pyannote[2088].start 10625.66159375
transcript.pyannote[2088].end 10655.29409375
transcript.pyannote[2089].speaker SPEAKER_20
transcript.pyannote[2089].start 10656.01971875
transcript.pyannote[2089].end 10659.98534375
transcript.pyannote[2090].speaker SPEAKER_03
transcript.pyannote[2090].start 10658.87159375
transcript.pyannote[2090].end 10682.53034375
transcript.pyannote[2091].speaker SPEAKER_20
transcript.pyannote[2091].start 10682.53034375
transcript.pyannote[2091].end 10682.76659375
transcript.pyannote[2092].speaker SPEAKER_03
transcript.pyannote[2092].start 10682.96909375
transcript.pyannote[2092].end 10683.30659375
transcript.pyannote[2093].speaker SPEAKER_20
transcript.pyannote[2093].start 10683.57659375
transcript.pyannote[2093].end 10687.15409375
transcript.pyannote[2094].speaker SPEAKER_03
transcript.pyannote[2094].start 10686.74909375
transcript.pyannote[2094].end 10686.88409375
transcript.pyannote[2095].speaker SPEAKER_03
transcript.pyannote[2095].start 10686.91784375
transcript.pyannote[2095].end 10728.48096875
transcript.pyannote[2096].speaker SPEAKER_03
transcript.pyannote[2096].start 10729.30784375
transcript.pyannote[2096].end 10754.97471875
transcript.pyannote[2097].speaker SPEAKER_20
transcript.pyannote[2097].start 10750.43534375
transcript.pyannote[2097].end 10750.65471875
transcript.pyannote[2098].speaker SPEAKER_23
transcript.pyannote[2098].start 10752.25784375
transcript.pyannote[2098].end 10752.27471875
transcript.pyannote[2099].speaker SPEAKER_20
transcript.pyannote[2099].start 10752.27471875
transcript.pyannote[2099].end 10753.11846875
transcript.pyannote[2100].speaker SPEAKER_03
transcript.pyannote[2100].start 10755.76784375
transcript.pyannote[2100].end 10756.32471875
transcript.pyannote[2101].speaker SPEAKER_21
transcript.pyannote[2101].start 10760.91471875
transcript.pyannote[2101].end 10763.64846875
transcript.pyannote[2102].speaker SPEAKER_02
transcript.pyannote[2102].start 10771.44471875
transcript.pyannote[2102].end 10774.21221875
transcript.pyannote[2103].speaker SPEAKER_21
transcript.pyannote[2103].start 10774.61721875
transcript.pyannote[2103].end 10775.86596875
transcript.pyannote[2104].speaker SPEAKER_02
transcript.pyannote[2104].start 10775.86596875
transcript.pyannote[2104].end 10776.40596875
transcript.pyannote[2105].speaker SPEAKER_02
transcript.pyannote[2105].start 10782.31221875
transcript.pyannote[2105].end 10793.21346875
transcript.pyannote[2106].speaker SPEAKER_02
transcript.pyannote[2106].start 10793.68596875
transcript.pyannote[2106].end 10800.82409375
transcript.pyannote[2107].speaker SPEAKER_02
transcript.pyannote[2107].start 10801.46534375
transcript.pyannote[2107].end 10803.43971875
transcript.pyannote[2108].speaker SPEAKER_20
transcript.pyannote[2108].start 10802.64659375
transcript.pyannote[2108].end 10805.09346875
transcript.pyannote[2109].speaker SPEAKER_02
transcript.pyannote[2109].start 10804.60409375
transcript.pyannote[2109].end 10805.17784375
transcript.pyannote[2110].speaker SPEAKER_02
transcript.pyannote[2110].start 10805.70096875
transcript.pyannote[2110].end 10816.43346875
transcript.pyannote[2111].speaker SPEAKER_02
transcript.pyannote[2111].start 10817.26034375
transcript.pyannote[2111].end 10819.57221875
transcript.pyannote[2112].speaker SPEAKER_02
transcript.pyannote[2112].start 10820.17971875
transcript.pyannote[2112].end 10822.22159375
transcript.pyannote[2113].speaker SPEAKER_12
transcript.pyannote[2113].start 10820.21346875
transcript.pyannote[2113].end 10820.23034375
transcript.pyannote[2114].speaker SPEAKER_20
transcript.pyannote[2114].start 10820.23034375
transcript.pyannote[2114].end 10821.76596875
transcript.pyannote[2115].speaker SPEAKER_20
transcript.pyannote[2115].start 10822.22159375
transcript.pyannote[2115].end 10822.54221875
transcript.pyannote[2116].speaker SPEAKER_02
transcript.pyannote[2116].start 10822.54221875
transcript.pyannote[2116].end 10822.55909375
transcript.pyannote[2117].speaker SPEAKER_20
transcript.pyannote[2117].start 10822.55909375
transcript.pyannote[2117].end 10824.53346875
transcript.pyannote[2118].speaker SPEAKER_20
transcript.pyannote[2118].start 10825.12409375
transcript.pyannote[2118].end 10829.03909375
transcript.pyannote[2119].speaker SPEAKER_02
transcript.pyannote[2119].start 10829.03909375
transcript.pyannote[2119].end 10834.97909375
transcript.pyannote[2120].speaker SPEAKER_02
transcript.pyannote[2120].start 10835.36721875
transcript.pyannote[2120].end 10836.36284375
transcript.pyannote[2121].speaker SPEAKER_02
transcript.pyannote[2121].start 10837.05471875
transcript.pyannote[2121].end 10837.69596875
transcript.pyannote[2122].speaker SPEAKER_02
transcript.pyannote[2122].start 10838.18534375
transcript.pyannote[2122].end 10842.23534375
transcript.pyannote[2123].speaker SPEAKER_22
transcript.pyannote[2123].start 10843.68659375
transcript.pyannote[2123].end 10847.38221875
transcript.pyannote[2124].speaker SPEAKER_02
transcript.pyannote[2124].start 10845.47534375
transcript.pyannote[2124].end 10850.13284375
transcript.pyannote[2125].speaker SPEAKER_02
transcript.pyannote[2125].start 10850.14971875
transcript.pyannote[2125].end 10855.53284375
transcript.pyannote[2126].speaker SPEAKER_02
transcript.pyannote[2126].start 10856.14034375
transcript.pyannote[2126].end 10857.96284375
transcript.pyannote[2127].speaker SPEAKER_23
transcript.pyannote[2127].start 10858.16534375
transcript.pyannote[2127].end 10858.43534375
transcript.pyannote[2128].speaker SPEAKER_02
transcript.pyannote[2128].start 10859.02596875
transcript.pyannote[2128].end 10861.00034375
transcript.pyannote[2129].speaker SPEAKER_02
transcript.pyannote[2129].start 10861.40534375
transcript.pyannote[2129].end 10862.51909375
transcript.pyannote[2130].speaker SPEAKER_22
transcript.pyannote[2130].start 10861.43909375
transcript.pyannote[2130].end 10861.50659375
transcript.pyannote[2131].speaker SPEAKER_23
transcript.pyannote[2131].start 10861.50659375
transcript.pyannote[2131].end 10861.70909375
transcript.pyannote[2132].speaker SPEAKER_22
transcript.pyannote[2132].start 10861.70909375
transcript.pyannote[2132].end 10861.84409375
transcript.pyannote[2133].speaker SPEAKER_02
transcript.pyannote[2133].start 10862.62034375
transcript.pyannote[2133].end 10865.32034375
transcript.pyannote[2134].speaker SPEAKER_02
transcript.pyannote[2134].start 10866.07971875
transcript.pyannote[2134].end 10867.05846875
transcript.pyannote[2135].speaker SPEAKER_22
transcript.pyannote[2135].start 10867.46346875
transcript.pyannote[2135].end 10870.23096875
transcript.pyannote[2136].speaker SPEAKER_02
transcript.pyannote[2136].start 10870.18034375
transcript.pyannote[2136].end 10881.16596875
transcript.pyannote[2137].speaker SPEAKER_02
transcript.pyannote[2137].start 10881.82409375
transcript.pyannote[2137].end 10883.79846875
transcript.pyannote[2138].speaker SPEAKER_02
transcript.pyannote[2138].start 10884.47346875
transcript.pyannote[2138].end 10884.96284375
transcript.pyannote[2139].speaker SPEAKER_02
transcript.pyannote[2139].start 10885.48596875
transcript.pyannote[2139].end 10891.18971875
transcript.pyannote[2140].speaker SPEAKER_02
transcript.pyannote[2140].start 10891.74659375
transcript.pyannote[2140].end 10899.98159375
transcript.pyannote[2141].speaker SPEAKER_02
transcript.pyannote[2141].start 10901.50034375
transcript.pyannote[2141].end 10902.96846875
transcript.pyannote[2142].speaker SPEAKER_22
transcript.pyannote[2142].start 10902.96846875
transcript.pyannote[2142].end 10903.35659375
transcript.pyannote[2143].speaker SPEAKER_02
transcript.pyannote[2143].start 10903.25534375
transcript.pyannote[2143].end 10905.31409375
transcript.pyannote[2144].speaker SPEAKER_02
transcript.pyannote[2144].start 10905.34784375
transcript.pyannote[2144].end 10906.66409375
transcript.pyannote[2145].speaker SPEAKER_22
transcript.pyannote[2145].start 10907.59221875
transcript.pyannote[2145].end 10913.92034375
transcript.pyannote[2146].speaker SPEAKER_02
transcript.pyannote[2146].start 10913.58284375
transcript.pyannote[2146].end 10915.43909375
transcript.pyannote[2147].speaker SPEAKER_22
transcript.pyannote[2147].start 10914.59534375
transcript.pyannote[2147].end 10920.14721875
transcript.pyannote[2148].speaker SPEAKER_02
transcript.pyannote[2148].start 10920.14721875
transcript.pyannote[2148].end 10920.60284375
transcript.pyannote[2149].speaker SPEAKER_22
transcript.pyannote[2149].start 10920.38346875
transcript.pyannote[2149].end 10925.66534375
transcript.pyannote[2150].speaker SPEAKER_02
transcript.pyannote[2150].start 10924.24784375
transcript.pyannote[2150].end 10940.68409375
transcript.pyannote[2151].speaker SPEAKER_02
transcript.pyannote[2151].start 10941.64596875
transcript.pyannote[2151].end 10950.21846875
transcript.pyannote[2152].speaker SPEAKER_02
transcript.pyannote[2152].start 10950.55596875
transcript.pyannote[2152].end 10957.20471875
transcript.pyannote[2153].speaker SPEAKER_02
transcript.pyannote[2153].start 10957.66034375
transcript.pyannote[2153].end 10960.96784375
transcript.pyannote[2154].speaker SPEAKER_20
transcript.pyannote[2154].start 10960.96784375
transcript.pyannote[2154].end 10964.15721875
transcript.pyannote[2155].speaker SPEAKER_02
transcript.pyannote[2155].start 10962.89159375
transcript.pyannote[2155].end 10968.30846875
transcript.pyannote[2156].speaker SPEAKER_20
transcript.pyannote[2156].start 10967.73471875
transcript.pyannote[2156].end 10968.03846875
transcript.pyannote[2157].speaker SPEAKER_20
transcript.pyannote[2157].start 10968.30846875
transcript.pyannote[2157].end 10970.23221875
transcript.pyannote[2158].speaker SPEAKER_02
transcript.pyannote[2158].start 10970.23221875
transcript.pyannote[2158].end 10970.26596875
transcript.pyannote[2159].speaker SPEAKER_20
transcript.pyannote[2159].start 10970.26596875
transcript.pyannote[2159].end 10970.58659375
transcript.pyannote[2160].speaker SPEAKER_02
transcript.pyannote[2160].start 10970.58659375
transcript.pyannote[2160].end 10970.62034375
transcript.pyannote[2161].speaker SPEAKER_20
transcript.pyannote[2161].start 10970.62034375
transcript.pyannote[2161].end 10971.02534375
transcript.pyannote[2162].speaker SPEAKER_02
transcript.pyannote[2162].start 10971.02534375
transcript.pyannote[2162].end 10971.91971875
transcript.pyannote[2163].speaker SPEAKER_20
transcript.pyannote[2163].start 10971.19409375
transcript.pyannote[2163].end 10971.98721875
transcript.pyannote[2164].speaker SPEAKER_02
transcript.pyannote[2164].start 10971.97034375
transcript.pyannote[2164].end 11003.17221875
transcript.pyannote[2165].speaker SPEAKER_00
transcript.pyannote[2165].start 10977.65721875
transcript.pyannote[2165].end 10978.02846875
transcript.pyannote[2166].speaker SPEAKER_12
transcript.pyannote[2166].start 10978.02846875
transcript.pyannote[2166].end 10978.55159375
transcript.pyannote[2167].speaker SPEAKER_02
transcript.pyannote[2167].start 11004.33659375
transcript.pyannote[2167].end 11005.31534375
transcript.pyannote[2168].speaker SPEAKER_02
transcript.pyannote[2168].start 11005.68659375
transcript.pyannote[2168].end 11007.49221875
transcript.pyannote[2169].speaker SPEAKER_02
transcript.pyannote[2169].start 11007.82971875
transcript.pyannote[2169].end 11013.38159375
transcript.pyannote[2170].speaker SPEAKER_02
transcript.pyannote[2170].start 11013.51659375
transcript.pyannote[2170].end 11019.38909375
transcript.pyannote[2171].speaker SPEAKER_02
transcript.pyannote[2171].start 11019.76034375
transcript.pyannote[2171].end 11024.60346875
transcript.pyannote[2172].speaker SPEAKER_02
transcript.pyannote[2172].start 11024.75534375
transcript.pyannote[2172].end 11029.76721875
transcript.pyannote[2173].speaker SPEAKER_22
transcript.pyannote[2173].start 11029.24409375
transcript.pyannote[2173].end 11030.62784375
transcript.pyannote[2174].speaker SPEAKER_02
transcript.pyannote[2174].start 11030.08784375
transcript.pyannote[2174].end 11037.78284375
transcript.pyannote[2175].speaker SPEAKER_02
transcript.pyannote[2175].start 11038.25534375
transcript.pyannote[2175].end 11042.18721875
transcript.pyannote[2176].speaker SPEAKER_02
transcript.pyannote[2176].start 11043.06471875
transcript.pyannote[2176].end 11043.87471875
transcript.pyannote[2177].speaker SPEAKER_20
transcript.pyannote[2177].start 11043.97596875
transcript.pyannote[2177].end 11047.01346875
transcript.pyannote[2178].speaker SPEAKER_02
transcript.pyannote[2178].start 11047.01346875
transcript.pyannote[2178].end 11048.63346875
transcript.pyannote[2179].speaker SPEAKER_02
transcript.pyannote[2179].start 11048.65034375
transcript.pyannote[2179].end 11053.15596875
transcript.pyannote[2180].speaker SPEAKER_20
transcript.pyannote[2180].start 11052.64971875
transcript.pyannote[2180].end 11052.80159375
transcript.pyannote[2181].speaker SPEAKER_23
transcript.pyannote[2181].start 11052.80159375
transcript.pyannote[2181].end 11053.07159375
transcript.pyannote[2182].speaker SPEAKER_23
transcript.pyannote[2182].start 11053.15596875
transcript.pyannote[2182].end 11053.17284375
transcript.pyannote[2183].speaker SPEAKER_02
transcript.pyannote[2183].start 11053.17284375
transcript.pyannote[2183].end 11058.94409375
transcript.pyannote[2184].speaker SPEAKER_22
transcript.pyannote[2184].start 11058.94409375
transcript.pyannote[2184].end 11059.29846875
transcript.pyannote[2185].speaker SPEAKER_02
transcript.pyannote[2185].start 11059.29846875
transcript.pyannote[2185].end 11059.85534375
transcript.pyannote[2186].speaker SPEAKER_22
transcript.pyannote[2186].start 11060.12534375
transcript.pyannote[2186].end 11060.73284375
transcript.pyannote[2187].speaker SPEAKER_02
transcript.pyannote[2187].start 11063.06159375
transcript.pyannote[2187].end 11063.21346875
transcript.pyannote[2188].speaker SPEAKER_21
transcript.pyannote[2188].start 11063.21346875
transcript.pyannote[2188].end 11063.65221875
transcript.pyannote[2189].speaker SPEAKER_21
transcript.pyannote[2189].start 11064.93471875
transcript.pyannote[2189].end 11070.23346875
transcript.pyannote[2190].speaker SPEAKER_21
transcript.pyannote[2190].start 11070.77346875
transcript.pyannote[2190].end 11074.63784375
transcript.pyannote[2191].speaker SPEAKER_21
transcript.pyannote[2191].start 11076.59534375
transcript.pyannote[2191].end 11077.50659375
transcript.pyannote[2192].speaker SPEAKER_21
transcript.pyannote[2192].start 11078.13096875
transcript.pyannote[2192].end 11080.51034375
transcript.pyannote[2193].speaker SPEAKER_21
transcript.pyannote[2193].start 11080.91534375
transcript.pyannote[2193].end 11085.13409375
transcript.pyannote[2194].speaker SPEAKER_21
transcript.pyannote[2194].start 11085.31971875
transcript.pyannote[2194].end 11089.08284375
transcript.pyannote[2195].speaker SPEAKER_21
transcript.pyannote[2195].start 11089.25159375
transcript.pyannote[2195].end 11099.47784375
transcript.pyannote[2196].speaker SPEAKER_21
transcript.pyannote[2196].start 11100.00096875
transcript.pyannote[2196].end 11114.91846875
transcript.pyannote[2197].speaker SPEAKER_23
transcript.pyannote[2197].start 11102.48159375
transcript.pyannote[2197].end 11102.88659375
transcript.pyannote[2198].speaker SPEAKER_21
transcript.pyannote[2198].start 11115.34034375
transcript.pyannote[2198].end 11116.16721875
transcript.pyannote[2199].speaker SPEAKER_16
transcript.pyannote[2199].start 11127.77721875
transcript.pyannote[2199].end 11130.79784375
transcript.pyannote[2200].speaker SPEAKER_21
transcript.pyannote[2200].start 11132.43471875
transcript.pyannote[2200].end 11133.61596875
transcript.pyannote[2201].speaker SPEAKER_16
transcript.pyannote[2201].start 11139.35346875
transcript.pyannote[2201].end 11139.87659375
transcript.pyannote[2202].speaker SPEAKER_16
transcript.pyannote[2202].start 11141.09159375
transcript.pyannote[2202].end 11141.85096875
transcript.pyannote[2203].speaker SPEAKER_16
transcript.pyannote[2203].start 11142.42471875
transcript.pyannote[2203].end 11143.47096875
transcript.pyannote[2204].speaker SPEAKER_16
transcript.pyannote[2204].start 11144.06159375
transcript.pyannote[2204].end 11146.52534375
transcript.pyannote[2205].speaker SPEAKER_16
transcript.pyannote[2205].start 11146.94721875
transcript.pyannote[2205].end 11148.41534375
transcript.pyannote[2206].speaker SPEAKER_23
transcript.pyannote[2206].start 11148.41534375
transcript.pyannote[2206].end 11148.83721875
transcript.pyannote[2207].speaker SPEAKER_16
transcript.pyannote[2207].start 11149.09034375
transcript.pyannote[2207].end 11155.55346875
transcript.pyannote[2208].speaker SPEAKER_16
transcript.pyannote[2208].start 11155.95846875
transcript.pyannote[2208].end 11161.52721875
transcript.pyannote[2209].speaker SPEAKER_16
transcript.pyannote[2209].start 11161.72971875
transcript.pyannote[2209].end 11191.88534375
transcript.pyannote[2210].speaker SPEAKER_16
transcript.pyannote[2210].start 11192.22284375
transcript.pyannote[2210].end 11205.63846875
transcript.pyannote[2211].speaker SPEAKER_16
transcript.pyannote[2211].start 11205.99284375
transcript.pyannote[2211].end 11212.03409375
transcript.pyannote[2212].speaker SPEAKER_20
transcript.pyannote[2212].start 11212.03409375
transcript.pyannote[2212].end 11212.45596875
transcript.pyannote[2213].speaker SPEAKER_20
transcript.pyannote[2213].start 11213.28284375
transcript.pyannote[2213].end 11228.80784375
transcript.pyannote[2214].speaker SPEAKER_20
transcript.pyannote[2214].start 11228.89221875
transcript.pyannote[2214].end 11237.65034375
transcript.pyannote[2215].speaker SPEAKER_20
transcript.pyannote[2215].start 11237.95409375
transcript.pyannote[2215].end 11241.26159375
transcript.pyannote[2216].speaker SPEAKER_20
transcript.pyannote[2216].start 11241.46409375
transcript.pyannote[2216].end 11243.33721875
transcript.pyannote[2217].speaker SPEAKER_20
transcript.pyannote[2217].start 11243.35409375
transcript.pyannote[2217].end 11245.96971875
transcript.pyannote[2218].speaker SPEAKER_20
transcript.pyannote[2218].start 11246.00346875
transcript.pyannote[2218].end 11246.07096875
transcript.pyannote[2219].speaker SPEAKER_20
transcript.pyannote[2219].start 11246.10471875
transcript.pyannote[2219].end 11248.90596875
transcript.pyannote[2220].speaker SPEAKER_16
transcript.pyannote[2220].start 11248.90596875
transcript.pyannote[2220].end 11248.92284375
transcript.pyannote[2221].speaker SPEAKER_20
transcript.pyannote[2221].start 11249.53034375
transcript.pyannote[2221].end 11249.54721875
transcript.pyannote[2222].speaker SPEAKER_16
transcript.pyannote[2222].start 11249.54721875
transcript.pyannote[2222].end 11254.35659375
transcript.pyannote[2223].speaker SPEAKER_16
transcript.pyannote[2223].start 11255.13284375
transcript.pyannote[2223].end 11256.12846875
transcript.pyannote[2224].speaker SPEAKER_20
transcript.pyannote[2224].start 11256.12846875
transcript.pyannote[2224].end 11263.78971875
transcript.pyannote[2225].speaker SPEAKER_16
transcript.pyannote[2225].start 11264.14409375
transcript.pyannote[2225].end 11265.54471875
transcript.pyannote[2226].speaker SPEAKER_16
transcript.pyannote[2226].start 11266.18596875
transcript.pyannote[2226].end 11270.60721875
transcript.pyannote[2227].speaker SPEAKER_20
transcript.pyannote[2227].start 11269.67909375
transcript.pyannote[2227].end 11270.13471875
transcript.pyannote[2228].speaker SPEAKER_16
transcript.pyannote[2228].start 11271.04596875
transcript.pyannote[2228].end 11277.67784375
transcript.pyannote[2229].speaker SPEAKER_16
transcript.pyannote[2229].start 11278.42034375
transcript.pyannote[2229].end 11289.38909375
transcript.pyannote[2230].speaker SPEAKER_20
transcript.pyannote[2230].start 11289.38909375
transcript.pyannote[2230].end 11289.62534375
transcript.pyannote[2231].speaker SPEAKER_16
transcript.pyannote[2231].start 11289.62534375
transcript.pyannote[2231].end 11299.51409375
transcript.pyannote[2232].speaker SPEAKER_16
transcript.pyannote[2232].start 11299.85159375
transcript.pyannote[2232].end 11323.64534375
transcript.pyannote[2233].speaker SPEAKER_20
transcript.pyannote[2233].start 11325.21471875
transcript.pyannote[2233].end 11325.46784375
transcript.pyannote[2234].speaker SPEAKER_16
transcript.pyannote[2234].start 11325.46784375
transcript.pyannote[2234].end 11325.58596875
transcript.pyannote[2235].speaker SPEAKER_20
transcript.pyannote[2235].start 11325.58596875
transcript.pyannote[2235].end 11325.63659375
transcript.pyannote[2236].speaker SPEAKER_16
transcript.pyannote[2236].start 11325.63659375
transcript.pyannote[2236].end 11325.67034375
transcript.pyannote[2237].speaker SPEAKER_20
transcript.pyannote[2237].start 11325.67034375
transcript.pyannote[2237].end 11329.45034375
transcript.pyannote[2238].speaker SPEAKER_20
transcript.pyannote[2238].start 11329.60221875
transcript.pyannote[2238].end 11345.22846875
transcript.pyannote[2239].speaker SPEAKER_16
transcript.pyannote[2239].start 11346.98346875
transcript.pyannote[2239].end 11347.48971875
transcript.pyannote[2240].speaker SPEAKER_16
transcript.pyannote[2240].start 11347.67534375
transcript.pyannote[2240].end 11350.56096875
transcript.pyannote[2241].speaker SPEAKER_20
transcript.pyannote[2241].start 11348.02971875
transcript.pyannote[2241].end 11348.35034375
transcript.pyannote[2242].speaker SPEAKER_16
transcript.pyannote[2242].start 11350.74659375
transcript.pyannote[2242].end 11354.56034375
transcript.pyannote[2243].speaker SPEAKER_21
transcript.pyannote[2243].start 11355.45471875
transcript.pyannote[2243].end 11357.41221875
transcript.pyannote[2244].speaker SPEAKER_17
transcript.pyannote[2244].start 11363.48721875
transcript.pyannote[2244].end 11364.41534375
transcript.pyannote[2245].speaker SPEAKER_17
transcript.pyannote[2245].start 11364.95534375
transcript.pyannote[2245].end 11366.05221875
transcript.pyannote[2246].speaker SPEAKER_16
transcript.pyannote[2246].start 11366.05221875
transcript.pyannote[2246].end 11366.23784375
transcript.pyannote[2247].speaker SPEAKER_16
transcript.pyannote[2247].start 11366.55846875
transcript.pyannote[2247].end 11370.16971875
transcript.pyannote[2248].speaker SPEAKER_16
transcript.pyannote[2248].start 11370.92909375
transcript.pyannote[2248].end 11384.51346875
transcript.pyannote[2249].speaker SPEAKER_16
transcript.pyannote[2249].start 11384.66534375
transcript.pyannote[2249].end 11389.20471875
transcript.pyannote[2250].speaker SPEAKER_17
transcript.pyannote[2250].start 11389.77846875
transcript.pyannote[2250].end 11399.44784375
transcript.pyannote[2251].speaker SPEAKER_16
transcript.pyannote[2251].start 11399.44784375
transcript.pyannote[2251].end 11401.48971875
transcript.pyannote[2252].speaker SPEAKER_16
transcript.pyannote[2252].start 11401.89471875
transcript.pyannote[2252].end 11408.56034375
transcript.pyannote[2253].speaker SPEAKER_17
transcript.pyannote[2253].start 11408.66159375
transcript.pyannote[2253].end 11409.16784375
transcript.pyannote[2254].speaker SPEAKER_16
transcript.pyannote[2254].start 11409.43784375
transcript.pyannote[2254].end 11410.50096875
transcript.pyannote[2255].speaker SPEAKER_17
transcript.pyannote[2255].start 11410.99034375
transcript.pyannote[2255].end 11417.89221875
transcript.pyannote[2256].speaker SPEAKER_16
transcript.pyannote[2256].start 11416.33971875
transcript.pyannote[2256].end 11428.74284375
transcript.pyannote[2257].speaker SPEAKER_16
transcript.pyannote[2257].start 11429.26596875
transcript.pyannote[2257].end 11446.10721875
transcript.pyannote[2258].speaker SPEAKER_17
transcript.pyannote[2258].start 11440.03221875
transcript.pyannote[2258].end 11440.53846875
transcript.pyannote[2259].speaker SPEAKER_17
transcript.pyannote[2259].start 11443.17096875
transcript.pyannote[2259].end 11443.44096875
transcript.pyannote[2260].speaker SPEAKER_17
transcript.pyannote[2260].start 11446.30971875
transcript.pyannote[2260].end 11447.11971875
transcript.pyannote[2261].speaker SPEAKER_17
transcript.pyannote[2261].start 11447.62596875
transcript.pyannote[2261].end 11467.58909375
transcript.pyannote[2262].speaker SPEAKER_17
transcript.pyannote[2262].start 11467.75784375
transcript.pyannote[2262].end 11469.39471875
transcript.pyannote[2263].speaker SPEAKER_17
transcript.pyannote[2263].start 11469.52971875
transcript.pyannote[2263].end 11471.41971875
transcript.pyannote[2264].speaker SPEAKER_16
transcript.pyannote[2264].start 11472.38159375
transcript.pyannote[2264].end 11494.67346875
transcript.pyannote[2265].speaker SPEAKER_16
transcript.pyannote[2265].start 11495.56784375
transcript.pyannote[2265].end 11513.72534375
transcript.pyannote[2266].speaker SPEAKER_20
transcript.pyannote[2266].start 11514.46784375
transcript.pyannote[2266].end 11518.51784375
transcript.pyannote[2267].speaker SPEAKER_17
transcript.pyannote[2267].start 11516.67846875
transcript.pyannote[2267].end 11516.81346875
transcript.pyannote[2268].speaker SPEAKER_17
transcript.pyannote[2268].start 11517.84284375
transcript.pyannote[2268].end 11535.44346875
transcript.pyannote[2269].speaker SPEAKER_16
transcript.pyannote[2269].start 11535.44346875
transcript.pyannote[2269].end 11535.46034375
transcript.pyannote[2270].speaker SPEAKER_17
transcript.pyannote[2270].start 11535.98346875
transcript.pyannote[2270].end 11536.96221875
transcript.pyannote[2271].speaker SPEAKER_16
transcript.pyannote[2271].start 11536.96221875
transcript.pyannote[2271].end 11540.96159375
transcript.pyannote[2272].speaker SPEAKER_20
transcript.pyannote[2272].start 11540.37096875
transcript.pyannote[2272].end 11542.27784375
transcript.pyannote[2273].speaker SPEAKER_16
transcript.pyannote[2273].start 11542.34534375
transcript.pyannote[2273].end 11544.64034375
transcript.pyannote[2274].speaker SPEAKER_16
transcript.pyannote[2274].start 11544.82596875
transcript.pyannote[2274].end 11556.99284375
transcript.pyannote[2275].speaker SPEAKER_17
transcript.pyannote[2275].start 11557.16159375
transcript.pyannote[2275].end 11558.95034375
transcript.pyannote[2276].speaker SPEAKER_21
transcript.pyannote[2276].start 11561.61659375
transcript.pyannote[2276].end 11562.64596875
transcript.pyannote[2277].speaker SPEAKER_21
transcript.pyannote[2277].start 11565.58221875
transcript.pyannote[2277].end 11568.21471875
transcript.pyannote[2278].speaker SPEAKER_00
transcript.pyannote[2278].start 11577.34409375
transcript.pyannote[2278].end 11577.37784375
transcript.pyannote[2279].speaker SPEAKER_19
transcript.pyannote[2279].start 11577.37784375
transcript.pyannote[2279].end 11577.79971875
transcript.pyannote[2280].speaker SPEAKER_19
transcript.pyannote[2280].start 11579.21721875
transcript.pyannote[2280].end 11580.46596875
transcript.pyannote[2281].speaker SPEAKER_21
transcript.pyannote[2281].start 11580.66846875
transcript.pyannote[2281].end 11582.00159375
transcript.pyannote[2282].speaker SPEAKER_19
transcript.pyannote[2282].start 11590.27034375
transcript.pyannote[2282].end 11591.77221875
transcript.pyannote[2283].speaker SPEAKER_19
transcript.pyannote[2283].start 11592.02534375
transcript.pyannote[2283].end 11600.86784375
transcript.pyannote[2284].speaker SPEAKER_19
transcript.pyannote[2284].start 11601.18846875
transcript.pyannote[2284].end 11602.70721875
transcript.pyannote[2285].speaker SPEAKER_19
transcript.pyannote[2285].start 11602.84221875
transcript.pyannote[2285].end 11605.84596875
transcript.pyannote[2286].speaker SPEAKER_19
transcript.pyannote[2286].start 11605.99784375
transcript.pyannote[2286].end 11606.99346875
transcript.pyannote[2287].speaker SPEAKER_19
transcript.pyannote[2287].start 11607.48284375
transcript.pyannote[2287].end 11608.56284375
transcript.pyannote[2288].speaker SPEAKER_19
transcript.pyannote[2288].start 11608.93409375
transcript.pyannote[2288].end 11610.99284375
transcript.pyannote[2289].speaker SPEAKER_19
transcript.pyannote[2289].start 11611.21221875
transcript.pyannote[2289].end 11614.94159375
transcript.pyannote[2290].speaker SPEAKER_19
transcript.pyannote[2290].start 11614.95846875
transcript.pyannote[2290].end 11614.99221875
transcript.pyannote[2291].speaker SPEAKER_19
transcript.pyannote[2291].start 11615.29596875
transcript.pyannote[2291].end 11619.04221875
transcript.pyannote[2292].speaker SPEAKER_19
transcript.pyannote[2292].start 11619.34596875
transcript.pyannote[2292].end 11622.55221875
transcript.pyannote[2293].speaker SPEAKER_19
transcript.pyannote[2293].start 11623.10909375
transcript.pyannote[2293].end 11629.74096875
transcript.pyannote[2294].speaker SPEAKER_19
transcript.pyannote[2294].start 11630.24721875
transcript.pyannote[2294].end 11632.82909375
transcript.pyannote[2295].speaker SPEAKER_19
transcript.pyannote[2295].start 11633.16659375
transcript.pyannote[2295].end 11635.29284375
transcript.pyannote[2296].speaker SPEAKER_19
transcript.pyannote[2296].start 11635.68096875
transcript.pyannote[2296].end 11638.34721875
transcript.pyannote[2297].speaker SPEAKER_22
transcript.pyannote[2297].start 11639.84909375
transcript.pyannote[2297].end 11644.03409375
transcript.pyannote[2298].speaker SPEAKER_19
transcript.pyannote[2298].start 11644.03409375
transcript.pyannote[2298].end 11644.06784375
transcript.pyannote[2299].speaker SPEAKER_22
transcript.pyannote[2299].start 11644.06784375
transcript.pyannote[2299].end 11653.63596875
transcript.pyannote[2300].speaker SPEAKER_19
transcript.pyannote[2300].start 11644.62471875
transcript.pyannote[2300].end 11645.28284375
transcript.pyannote[2301].speaker SPEAKER_22
transcript.pyannote[2301].start 11653.97346875
transcript.pyannote[2301].end 11658.14159375
transcript.pyannote[2302].speaker SPEAKER_22
transcript.pyannote[2302].start 11658.68159375
transcript.pyannote[2302].end 11662.78221875
transcript.pyannote[2303].speaker SPEAKER_22
transcript.pyannote[2303].start 11663.17034375
transcript.pyannote[2303].end 11668.89096875
transcript.pyannote[2304].speaker SPEAKER_22
transcript.pyannote[2304].start 11669.34659375
transcript.pyannote[2304].end 11692.16159375
transcript.pyannote[2305].speaker SPEAKER_19
transcript.pyannote[2305].start 11691.30096875
transcript.pyannote[2305].end 11697.32534375
transcript.pyannote[2306].speaker SPEAKER_22
transcript.pyannote[2306].start 11697.13971875
transcript.pyannote[2306].end 11697.30846875
transcript.pyannote[2307].speaker SPEAKER_22
transcript.pyannote[2307].start 11697.32534375
transcript.pyannote[2307].end 11697.35909375
transcript.pyannote[2308].speaker SPEAKER_19
transcript.pyannote[2308].start 11697.35909375
transcript.pyannote[2308].end 11730.51846875
transcript.pyannote[2309].speaker SPEAKER_22
transcript.pyannote[2309].start 11697.39284375
transcript.pyannote[2309].end 11697.47721875
transcript.pyannote[2310].speaker SPEAKER_22
transcript.pyannote[2310].start 11730.51846875
transcript.pyannote[2310].end 11746.56659375
transcript.pyannote[2311].speaker SPEAKER_19
transcript.pyannote[2311].start 11745.75659375
transcript.pyannote[2311].end 11751.46034375
transcript.pyannote[2312].speaker SPEAKER_22
transcript.pyannote[2312].start 11748.91221875
transcript.pyannote[2312].end 11750.09346875
transcript.pyannote[2313].speaker SPEAKER_22
transcript.pyannote[2313].start 11750.93721875
transcript.pyannote[2313].end 11765.83784375
transcript.pyannote[2314].speaker SPEAKER_19
transcript.pyannote[2314].start 11752.28721875
transcript.pyannote[2314].end 11752.72596875
transcript.pyannote[2315].speaker SPEAKER_19
transcript.pyannote[2315].start 11765.02784375
transcript.pyannote[2315].end 11778.17346875
transcript.pyannote[2316].speaker SPEAKER_22
transcript.pyannote[2316].start 11767.13721875
transcript.pyannote[2316].end 11769.76971875
transcript.pyannote[2317].speaker SPEAKER_22
transcript.pyannote[2317].start 11776.18221875
transcript.pyannote[2317].end 11782.08846875
transcript.pyannote[2318].speaker SPEAKER_19
transcript.pyannote[2318].start 11779.01721875
transcript.pyannote[2318].end 11792.19659375
transcript.pyannote[2319].speaker SPEAKER_19
transcript.pyannote[2319].start 11792.55096875
transcript.pyannote[2319].end 11794.39034375
transcript.pyannote[2320].speaker SPEAKER_19
transcript.pyannote[2320].start 11795.70659375
transcript.pyannote[2320].end 11800.19534375
transcript.pyannote[2321].speaker SPEAKER_19
transcript.pyannote[2321].start 11800.46534375
transcript.pyannote[2321].end 11809.86471875
transcript.pyannote[2322].speaker SPEAKER_23
transcript.pyannote[2322].start 11800.48221875
transcript.pyannote[2322].end 11801.14034375
transcript.pyannote[2323].speaker SPEAKER_12
transcript.pyannote[2323].start 11801.14034375
transcript.pyannote[2323].end 11801.25846875
transcript.pyannote[2324].speaker SPEAKER_12
transcript.pyannote[2324].start 11801.93346875
transcript.pyannote[2324].end 11801.96721875
transcript.pyannote[2325].speaker SPEAKER_23
transcript.pyannote[2325].start 11801.96721875
transcript.pyannote[2325].end 11802.03471875
transcript.pyannote[2326].speaker SPEAKER_22
transcript.pyannote[2326].start 11802.03471875
transcript.pyannote[2326].end 11802.06846875
transcript.pyannote[2327].speaker SPEAKER_12
transcript.pyannote[2327].start 11802.06846875
transcript.pyannote[2327].end 11802.18659375
transcript.pyannote[2328].speaker SPEAKER_22
transcript.pyannote[2328].start 11802.18659375
transcript.pyannote[2328].end 11802.79409375
transcript.pyannote[2329].speaker SPEAKER_23
transcript.pyannote[2329].start 11802.79409375
transcript.pyannote[2329].end 11802.84471875
transcript.pyannote[2330].speaker SPEAKER_12
transcript.pyannote[2330].start 11802.84471875
transcript.pyannote[2330].end 11802.87846875
transcript.pyannote[2331].speaker SPEAKER_22
transcript.pyannote[2331].start 11807.68784375
transcript.pyannote[2331].end 11817.69471875
transcript.pyannote[2332].speaker SPEAKER_19
transcript.pyannote[2332].start 11815.04534375
transcript.pyannote[2332].end 11815.41659375
transcript.pyannote[2333].speaker SPEAKER_19
transcript.pyannote[2333].start 11817.69471875
transcript.pyannote[2333].end 11827.93784375
transcript.pyannote[2334].speaker SPEAKER_22
transcript.pyannote[2334].start 11817.71159375
transcript.pyannote[2334].end 11821.17096875
transcript.pyannote[2335].speaker SPEAKER_19
transcript.pyannote[2335].start 11828.14034375
transcript.pyannote[2335].end 11828.52846875
transcript.pyannote[2336].speaker SPEAKER_19
transcript.pyannote[2336].start 11829.42284375
transcript.pyannote[2336].end 11830.68846875
transcript.pyannote[2337].speaker SPEAKER_22
transcript.pyannote[2337].start 11831.93721875
transcript.pyannote[2337].end 11832.24096875
transcript.pyannote[2338].speaker SPEAKER_19
transcript.pyannote[2338].start 11832.24096875
transcript.pyannote[2338].end 11832.30846875
transcript.pyannote[2339].speaker SPEAKER_22
transcript.pyannote[2339].start 11832.30846875
transcript.pyannote[2339].end 11832.32534375
transcript.pyannote[2340].speaker SPEAKER_19
transcript.pyannote[2340].start 11832.32534375
transcript.pyannote[2340].end 11832.51096875
transcript.pyannote[2341].speaker SPEAKER_22
transcript.pyannote[2341].start 11832.51096875
transcript.pyannote[2341].end 11835.78471875
transcript.pyannote[2342].speaker SPEAKER_19
transcript.pyannote[2342].start 11832.57846875
transcript.pyannote[2342].end 11843.96909375
transcript.pyannote[2343].speaker SPEAKER_07
transcript.pyannote[2343].start 11839.05846875
transcript.pyannote[2343].end 11839.17659375
transcript.pyannote[2344].speaker SPEAKER_22
transcript.pyannote[2344].start 11839.17659375
transcript.pyannote[2344].end 11839.58159375
transcript.pyannote[2345].speaker SPEAKER_12
transcript.pyannote[2345].start 11841.85971875
transcript.pyannote[2345].end 11841.92721875
transcript.pyannote[2346].speaker SPEAKER_22
transcript.pyannote[2346].start 11843.96909375
transcript.pyannote[2346].end 11848.03596875
transcript.pyannote[2347].speaker SPEAKER_19
transcript.pyannote[2347].start 11844.50909375
transcript.pyannote[2347].end 11855.49471875
transcript.pyannote[2348].speaker SPEAKER_19
transcript.pyannote[2348].start 11856.06846875
transcript.pyannote[2348].end 11857.13159375
transcript.pyannote[2349].speaker SPEAKER_19
transcript.pyannote[2349].start 11858.24534375
transcript.pyannote[2349].end 11858.97096875
transcript.pyannote[2350].speaker SPEAKER_22
transcript.pyannote[2350].start 11859.54471875
transcript.pyannote[2350].end 11861.68784375
transcript.pyannote[2351].speaker SPEAKER_22
transcript.pyannote[2351].start 11861.75534375
transcript.pyannote[2351].end 11871.57659375
transcript.pyannote[2352].speaker SPEAKER_19
transcript.pyannote[2352].start 11871.05346875
transcript.pyannote[2352].end 11900.83784375
transcript.pyannote[2353].speaker SPEAKER_22
transcript.pyannote[2353].start 11874.32721875
transcript.pyannote[2353].end 11875.60971875
transcript.pyannote[2354].speaker SPEAKER_22
transcript.pyannote[2354].start 11876.40284375
transcript.pyannote[2354].end 11878.02284375
transcript.pyannote[2355].speaker SPEAKER_16
transcript.pyannote[2355].start 11881.51596875
transcript.pyannote[2355].end 11881.53284375
transcript.pyannote[2356].speaker SPEAKER_07
transcript.pyannote[2356].start 11881.53284375
transcript.pyannote[2356].end 11886.03846875
transcript.pyannote[2357].speaker SPEAKER_23
transcript.pyannote[2357].start 11886.03846875
transcript.pyannote[2357].end 11888.48534375
transcript.pyannote[2358].speaker SPEAKER_22
transcript.pyannote[2358].start 11899.57221875
transcript.pyannote[2358].end 11901.02346875
transcript.pyannote[2359].speaker SPEAKER_19
transcript.pyannote[2359].start 11901.02346875
transcript.pyannote[2359].end 11908.09409375
transcript.pyannote[2360].speaker SPEAKER_22
transcript.pyannote[2360].start 11903.26784375
transcript.pyannote[2360].end 11903.45346875
transcript.pyannote[2361].speaker SPEAKER_19
transcript.pyannote[2361].start 11908.12784375
transcript.pyannote[2361].end 11919.67034375
transcript.pyannote[2362].speaker SPEAKER_05
transcript.pyannote[2362].start 11908.54971875
transcript.pyannote[2362].end 11909.96721875
transcript.pyannote[2363].speaker SPEAKER_07
transcript.pyannote[2363].start 11909.96721875
transcript.pyannote[2363].end 11910.15284375
transcript.pyannote[2364].speaker SPEAKER_17
transcript.pyannote[2364].start 11910.15284375
transcript.pyannote[2364].end 11911.97534375
transcript.pyannote[2365].speaker SPEAKER_22
transcript.pyannote[2365].start 11911.97534375
transcript.pyannote[2365].end 11912.27909375
transcript.pyannote[2366].speaker SPEAKER_00
transcript.pyannote[2366].start 11912.27909375
transcript.pyannote[2366].end 11912.29596875
transcript.pyannote[2367].speaker SPEAKER_22
transcript.pyannote[2367].start 11914.77659375
transcript.pyannote[2367].end 11923.88909375
transcript.pyannote[2368].speaker SPEAKER_21
transcript.pyannote[2368].start 11925.55971875
transcript.pyannote[2368].end 11926.20096875
transcript.pyannote[2369].speaker SPEAKER_21
transcript.pyannote[2369].start 11927.43284375
transcript.pyannote[2369].end 11928.07409375
transcript.pyannote[2370].speaker SPEAKER_21
transcript.pyannote[2370].start 11929.49159375
transcript.pyannote[2370].end 11929.79534375
transcript.pyannote[2371].speaker SPEAKER_23
transcript.pyannote[2371].start 11930.26784375
transcript.pyannote[2371].end 11930.43659375
transcript.pyannote[2372].speaker SPEAKER_23
transcript.pyannote[2372].start 11930.68971875
transcript.pyannote[2372].end 11930.72346875
transcript.pyannote[2373].speaker SPEAKER_21
transcript.pyannote[2373].start 11930.72346875
transcript.pyannote[2373].end 11931.29721875
transcript.pyannote[2374].speaker SPEAKER_21
transcript.pyannote[2374].start 11931.70221875
transcript.pyannote[2374].end 11932.09034375
transcript.pyannote[2375].speaker SPEAKER_21
transcript.pyannote[2375].start 11932.64721875
transcript.pyannote[2375].end 11949.13409375
transcript.pyannote[2376].speaker SPEAKER_21
transcript.pyannote[2376].start 11953.47096875
transcript.pyannote[2376].end 11955.69846875
transcript.pyannote[2377].speaker SPEAKER_06
transcript.pyannote[2377].start 11960.33909375
transcript.pyannote[2377].end 11962.38096875
transcript.pyannote[2378].speaker SPEAKER_21
transcript.pyannote[2378].start 11963.10659375
transcript.pyannote[2378].end 11964.15284375
transcript.pyannote[2379].speaker SPEAKER_06
transcript.pyannote[2379].start 11971.02096875
transcript.pyannote[2379].end 11972.26971875
transcript.pyannote[2380].speaker SPEAKER_23
transcript.pyannote[2380].start 11971.45971875
transcript.pyannote[2380].end 11971.94909375
transcript.pyannote[2381].speaker SPEAKER_06
transcript.pyannote[2381].start 11972.32034375
transcript.pyannote[2381].end 11973.28221875
transcript.pyannote[2382].speaker SPEAKER_06
transcript.pyannote[2382].start 11973.75471875
transcript.pyannote[2382].end 11977.21409375
transcript.pyannote[2383].speaker SPEAKER_06
transcript.pyannote[2383].start 11977.99034375
transcript.pyannote[2383].end 11979.82971875
transcript.pyannote[2384].speaker SPEAKER_06
transcript.pyannote[2384].start 11980.15034375
transcript.pyannote[2384].end 11988.09846875
transcript.pyannote[2385].speaker SPEAKER_18
transcript.pyannote[2385].start 11988.16596875
transcript.pyannote[2385].end 11988.35159375
transcript.pyannote[2386].speaker SPEAKER_06
transcript.pyannote[2386].start 11988.35159375
transcript.pyannote[2386].end 11989.68471875
transcript.pyannote[2387].speaker SPEAKER_18
transcript.pyannote[2387].start 11988.36846875
transcript.pyannote[2387].end 11988.65534375
transcript.pyannote[2388].speaker SPEAKER_18
transcript.pyannote[2388].start 11989.83659375
transcript.pyannote[2388].end 11990.19096875
transcript.pyannote[2389].speaker SPEAKER_06
transcript.pyannote[2389].start 11990.69721875
transcript.pyannote[2389].end 11991.16971875
transcript.pyannote[2390].speaker SPEAKER_06
transcript.pyannote[2390].start 11992.33409375
transcript.pyannote[2390].end 11992.38471875
transcript.pyannote[2391].speaker SPEAKER_06
transcript.pyannote[2391].start 11992.75596875
transcript.pyannote[2391].end 11996.28284375
transcript.pyannote[2392].speaker SPEAKER_06
transcript.pyannote[2392].start 11996.85659375
transcript.pyannote[2392].end 11998.86471875
transcript.pyannote[2393].speaker SPEAKER_06
transcript.pyannote[2393].start 11999.10096875
transcript.pyannote[2393].end 12001.37909375
transcript.pyannote[2394].speaker SPEAKER_06
transcript.pyannote[2394].start 12001.90221875
transcript.pyannote[2394].end 12004.72034375
transcript.pyannote[2395].speaker SPEAKER_12
transcript.pyannote[2395].start 12004.95659375
transcript.pyannote[2395].end 12005.29409375
transcript.pyannote[2396].speaker SPEAKER_06
transcript.pyannote[2396].start 12005.04096875
transcript.pyannote[2396].end 12007.85909375
transcript.pyannote[2397].speaker SPEAKER_06
transcript.pyannote[2397].start 12008.26409375
transcript.pyannote[2397].end 12015.50346875
transcript.pyannote[2398].speaker SPEAKER_06
transcript.pyannote[2398].start 12016.19534375
transcript.pyannote[2398].end 12020.68409375
transcript.pyannote[2399].speaker SPEAKER_06
transcript.pyannote[2399].start 12021.13971875
transcript.pyannote[2399].end 12025.86471875
transcript.pyannote[2400].speaker SPEAKER_06
transcript.pyannote[2400].start 12025.96596875
transcript.pyannote[2400].end 12028.04159375
transcript.pyannote[2401].speaker SPEAKER_06
transcript.pyannote[2401].start 12028.31159375
transcript.pyannote[2401].end 12031.56846875
transcript.pyannote[2402].speaker SPEAKER_06
transcript.pyannote[2402].start 12031.80471875
transcript.pyannote[2402].end 12033.99846875
transcript.pyannote[2403].speaker SPEAKER_06
transcript.pyannote[2403].start 12034.48784375
transcript.pyannote[2403].end 12036.09096875
transcript.pyannote[2404].speaker SPEAKER_06
transcript.pyannote[2404].start 12036.59721875
transcript.pyannote[2404].end 12038.45346875
transcript.pyannote[2405].speaker SPEAKER_06
transcript.pyannote[2405].start 12038.99346875
transcript.pyannote[2405].end 12041.50784375
transcript.pyannote[2406].speaker SPEAKER_06
transcript.pyannote[2406].start 12042.06471875
transcript.pyannote[2406].end 12056.03721875
transcript.pyannote[2407].speaker SPEAKER_06
transcript.pyannote[2407].start 12056.67846875
transcript.pyannote[2407].end 12058.48409375
transcript.pyannote[2408].speaker SPEAKER_06
transcript.pyannote[2408].start 12059.27721875
transcript.pyannote[2408].end 12060.66096875
transcript.pyannote[2409].speaker SPEAKER_06
transcript.pyannote[2409].start 12060.96471875
transcript.pyannote[2409].end 12068.18721875
transcript.pyannote[2410].speaker SPEAKER_06
transcript.pyannote[2410].start 12068.44034375
transcript.pyannote[2410].end 12075.12284375
transcript.pyannote[2411].speaker SPEAKER_06
transcript.pyannote[2411].start 12076.00034375
transcript.pyannote[2411].end 12076.77659375
transcript.pyannote[2412].speaker SPEAKER_06
transcript.pyannote[2412].start 12077.62034375
transcript.pyannote[2412].end 12078.97034375
transcript.pyannote[2413].speaker SPEAKER_20
transcript.pyannote[2413].start 12078.97034375
transcript.pyannote[2413].end 12081.72096875
transcript.pyannote[2414].speaker SPEAKER_20
transcript.pyannote[2414].start 12082.05846875
transcript.pyannote[2414].end 12083.67846875
transcript.pyannote[2415].speaker SPEAKER_20
transcript.pyannote[2415].start 12083.94846875
transcript.pyannote[2415].end 12086.32784375
transcript.pyannote[2416].speaker SPEAKER_20
transcript.pyannote[2416].start 12086.66534375
transcript.pyannote[2416].end 12103.18596875
transcript.pyannote[2417].speaker SPEAKER_06
transcript.pyannote[2417].start 12103.18596875
transcript.pyannote[2417].end 12103.96221875
transcript.pyannote[2418].speaker SPEAKER_20
transcript.pyannote[2418].start 12103.96221875
transcript.pyannote[2418].end 12104.02971875
transcript.pyannote[2419].speaker SPEAKER_06
transcript.pyannote[2419].start 12104.02971875
transcript.pyannote[2419].end 12104.06346875
transcript.pyannote[2420].speaker SPEAKER_20
transcript.pyannote[2420].start 12104.06346875
transcript.pyannote[2420].end 12104.28284375
transcript.pyannote[2421].speaker SPEAKER_06
transcript.pyannote[2421].start 12104.28284375
transcript.pyannote[2421].end 12104.50221875
transcript.pyannote[2422].speaker SPEAKER_20
transcript.pyannote[2422].start 12104.50221875
transcript.pyannote[2422].end 12104.75534375
transcript.pyannote[2423].speaker SPEAKER_06
transcript.pyannote[2423].start 12104.75534375
transcript.pyannote[2423].end 12104.85659375
transcript.pyannote[2424].speaker SPEAKER_06
transcript.pyannote[2424].start 12104.97471875
transcript.pyannote[2424].end 12105.00846875
transcript.pyannote[2425].speaker SPEAKER_20
transcript.pyannote[2425].start 12105.00846875
transcript.pyannote[2425].end 12105.02534375
transcript.pyannote[2426].speaker SPEAKER_06
transcript.pyannote[2426].start 12105.02534375
transcript.pyannote[2426].end 12105.05909375
transcript.pyannote[2427].speaker SPEAKER_20
transcript.pyannote[2427].start 12105.05909375
transcript.pyannote[2427].end 12105.09284375
transcript.pyannote[2428].speaker SPEAKER_06
transcript.pyannote[2428].start 12105.09284375
transcript.pyannote[2428].end 12111.80909375
transcript.pyannote[2429].speaker SPEAKER_20
transcript.pyannote[2429].start 12106.99971875
transcript.pyannote[2429].end 12107.72534375
transcript.pyannote[2430].speaker SPEAKER_06
transcript.pyannote[2430].start 12112.02846875
transcript.pyannote[2430].end 12115.62284375
transcript.pyannote[2431].speaker SPEAKER_06
transcript.pyannote[2431].start 12115.84221875
transcript.pyannote[2431].end 12119.67284375
transcript.pyannote[2432].speaker SPEAKER_06
transcript.pyannote[2432].start 12119.95971875
transcript.pyannote[2432].end 12123.60471875
transcript.pyannote[2433].speaker SPEAKER_20
transcript.pyannote[2433].start 12121.68096875
transcript.pyannote[2433].end 12121.69784375
transcript.pyannote[2434].speaker SPEAKER_23
transcript.pyannote[2434].start 12121.69784375
transcript.pyannote[2434].end 12122.20409375
transcript.pyannote[2435].speaker SPEAKER_23
transcript.pyannote[2435].start 12122.28846875
transcript.pyannote[2435].end 12122.77784375
transcript.pyannote[2436].speaker SPEAKER_20
transcript.pyannote[2436].start 12122.77784375
transcript.pyannote[2436].end 12122.82846875
transcript.pyannote[2437].speaker SPEAKER_23
transcript.pyannote[2437].start 12122.82846875
transcript.pyannote[2437].end 12122.84534375
transcript.pyannote[2438].speaker SPEAKER_23
transcript.pyannote[2438].start 12123.68909375
transcript.pyannote[2438].end 12123.94221875
transcript.pyannote[2439].speaker SPEAKER_06
transcript.pyannote[2439].start 12123.94221875
transcript.pyannote[2439].end 12124.98846875
transcript.pyannote[2440].speaker SPEAKER_06
transcript.pyannote[2440].start 12125.96721875
transcript.pyannote[2440].end 12129.66284375
transcript.pyannote[2441].speaker SPEAKER_06
transcript.pyannote[2441].start 12129.86534375
transcript.pyannote[2441].end 12136.98659375
transcript.pyannote[2442].speaker SPEAKER_06
transcript.pyannote[2442].start 12137.47596875
transcript.pyannote[2442].end 12150.63846875
transcript.pyannote[2443].speaker SPEAKER_06
transcript.pyannote[2443].start 12151.88721875
transcript.pyannote[2443].end 12163.10909375
transcript.pyannote[2444].speaker SPEAKER_06
transcript.pyannote[2444].start 12163.59846875
transcript.pyannote[2444].end 12180.05159375
transcript.pyannote[2445].speaker SPEAKER_12
transcript.pyannote[2445].start 12169.80846875
transcript.pyannote[2445].end 12170.14596875
transcript.pyannote[2446].speaker SPEAKER_12
transcript.pyannote[2446].start 12171.27659375
transcript.pyannote[2446].end 12174.97221875
transcript.pyannote[2447].speaker SPEAKER_06
transcript.pyannote[2447].start 12180.32159375
transcript.pyannote[2447].end 12192.79221875
transcript.pyannote[2448].speaker SPEAKER_00
transcript.pyannote[2448].start 12191.81346875
transcript.pyannote[2448].end 12192.15096875
transcript.pyannote[2449].speaker SPEAKER_06
transcript.pyannote[2449].start 12193.29846875
transcript.pyannote[2449].end 12206.05596875
transcript.pyannote[2450].speaker SPEAKER_06
transcript.pyannote[2450].start 12206.30909375
transcript.pyannote[2450].end 12232.17846875
transcript.pyannote[2451].speaker SPEAKER_06
transcript.pyannote[2451].start 12232.43159375
transcript.pyannote[2451].end 12235.53659375
transcript.pyannote[2452].speaker SPEAKER_06
transcript.pyannote[2452].start 12235.75596875
transcript.pyannote[2452].end 12236.70096875
transcript.pyannote[2453].speaker SPEAKER_06
transcript.pyannote[2453].start 12237.08909375
transcript.pyannote[2453].end 12242.10096875
transcript.pyannote[2454].speaker SPEAKER_06
transcript.pyannote[2454].start 12242.35409375
transcript.pyannote[2454].end 12245.81346875
transcript.pyannote[2455].speaker SPEAKER_06
transcript.pyannote[2455].start 12246.43784375
transcript.pyannote[2455].end 12247.97346875
transcript.pyannote[2456].speaker SPEAKER_20
transcript.pyannote[2456].start 12247.97346875
transcript.pyannote[2456].end 12248.15909375
transcript.pyannote[2457].speaker SPEAKER_06
transcript.pyannote[2457].start 12248.80034375
transcript.pyannote[2457].end 12248.81721875
transcript.pyannote[2458].speaker SPEAKER_20
transcript.pyannote[2458].start 12248.81721875
transcript.pyannote[2458].end 12251.46659375
transcript.pyannote[2459].speaker SPEAKER_20
transcript.pyannote[2459].start 12251.68596875
transcript.pyannote[2459].end 12263.97096875
transcript.pyannote[2460].speaker SPEAKER_00
transcript.pyannote[2460].start 12256.22534375
transcript.pyannote[2460].end 12256.42784375
transcript.pyannote[2461].speaker SPEAKER_12
transcript.pyannote[2461].start 12256.42784375
transcript.pyannote[2461].end 12256.96784375
transcript.pyannote[2462].speaker SPEAKER_00
transcript.pyannote[2462].start 12256.96784375
transcript.pyannote[2462].end 12257.25471875
transcript.pyannote[2463].speaker SPEAKER_06
transcript.pyannote[2463].start 12262.43534375
transcript.pyannote[2463].end 12263.71784375
transcript.pyannote[2464].speaker SPEAKER_06
transcript.pyannote[2464].start 12263.97096875
transcript.pyannote[2464].end 12264.05534375
transcript.pyannote[2465].speaker SPEAKER_20
transcript.pyannote[2465].start 12264.05534375
transcript.pyannote[2465].end 12264.20721875
transcript.pyannote[2466].speaker SPEAKER_06
transcript.pyannote[2466].start 12264.20721875
transcript.pyannote[2466].end 12264.57846875
transcript.pyannote[2467].speaker SPEAKER_20
transcript.pyannote[2467].start 12264.57846875
transcript.pyannote[2467].end 12264.86534375
transcript.pyannote[2468].speaker SPEAKER_06
transcript.pyannote[2468].start 12264.86534375
transcript.pyannote[2468].end 12264.93284375
transcript.pyannote[2469].speaker SPEAKER_20
transcript.pyannote[2469].start 12264.93284375
transcript.pyannote[2469].end 12265.03409375
transcript.pyannote[2470].speaker SPEAKER_06
transcript.pyannote[2470].start 12265.03409375
transcript.pyannote[2470].end 12274.29846875
transcript.pyannote[2471].speaker SPEAKER_20
transcript.pyannote[2471].start 12265.08471875
transcript.pyannote[2471].end 12266.94096875
transcript.pyannote[2472].speaker SPEAKER_20
transcript.pyannote[2472].start 12267.78471875
transcript.pyannote[2472].end 12268.08846875
transcript.pyannote[2473].speaker SPEAKER_21
transcript.pyannote[2473].start 12268.08846875
transcript.pyannote[2473].end 12268.81409375
transcript.pyannote[2474].speaker SPEAKER_20
transcript.pyannote[2474].start 12268.81409375
transcript.pyannote[2474].end 12268.96596875
transcript.pyannote[2475].speaker SPEAKER_21
transcript.pyannote[2475].start 12268.96596875
transcript.pyannote[2475].end 12269.75909375
transcript.pyannote[2476].speaker SPEAKER_20
transcript.pyannote[2476].start 12269.75909375
transcript.pyannote[2476].end 12269.79284375
transcript.pyannote[2477].speaker SPEAKER_21
transcript.pyannote[2477].start 12274.29846875
transcript.pyannote[2477].end 12274.88909375
transcript.pyannote[2478].speaker SPEAKER_21
transcript.pyannote[2478].start 12277.80846875
transcript.pyannote[2478].end 12296.43846875
transcript.pyannote[2479].speaker SPEAKER_18
transcript.pyannote[2479].start 12305.24721875
transcript.pyannote[2479].end 12306.98534375
transcript.pyannote[2480].speaker SPEAKER_18
transcript.pyannote[2480].start 12307.57596875
transcript.pyannote[2480].end 12308.99346875
transcript.pyannote[2481].speaker SPEAKER_18
transcript.pyannote[2481].start 12309.92159375
transcript.pyannote[2481].end 12312.01409375
transcript.pyannote[2482].speaker SPEAKER_18
transcript.pyannote[2482].start 12312.45284375
transcript.pyannote[2482].end 12315.79409375
transcript.pyannote[2483].speaker SPEAKER_21
transcript.pyannote[2483].start 12316.13159375
transcript.pyannote[2483].end 12317.27909375
transcript.pyannote[2484].speaker SPEAKER_18
transcript.pyannote[2484].start 12322.83096875
transcript.pyannote[2484].end 12324.94034375
transcript.pyannote[2485].speaker SPEAKER_18
transcript.pyannote[2485].start 12325.14284375
transcript.pyannote[2485].end 12331.13346875
transcript.pyannote[2486].speaker SPEAKER_18
transcript.pyannote[2486].start 12331.75784375
transcript.pyannote[2486].end 12335.03159375
transcript.pyannote[2487].speaker SPEAKER_18
transcript.pyannote[2487].start 12335.40284375
transcript.pyannote[2487].end 12338.67659375
transcript.pyannote[2488].speaker SPEAKER_12
transcript.pyannote[2488].start 12339.31784375
transcript.pyannote[2488].end 12339.87471875
transcript.pyannote[2489].speaker SPEAKER_18
transcript.pyannote[2489].start 12339.75659375
transcript.pyannote[2489].end 12341.91659375
transcript.pyannote[2490].speaker SPEAKER_18
transcript.pyannote[2490].start 12342.35534375
transcript.pyannote[2490].end 12343.97534375
transcript.pyannote[2491].speaker SPEAKER_18
transcript.pyannote[2491].start 12344.46471875
transcript.pyannote[2491].end 12347.90721875
transcript.pyannote[2492].speaker SPEAKER_23
transcript.pyannote[2492].start 12347.90721875
transcript.pyannote[2492].end 12348.22784375
transcript.pyannote[2493].speaker SPEAKER_18
transcript.pyannote[2493].start 12348.37971875
transcript.pyannote[2493].end 12351.58596875
transcript.pyannote[2494].speaker SPEAKER_18
transcript.pyannote[2494].start 12352.10909375
transcript.pyannote[2494].end 12352.80096875
transcript.pyannote[2495].speaker SPEAKER_18
transcript.pyannote[2495].start 12353.83034375
transcript.pyannote[2495].end 12354.84284375
transcript.pyannote[2496].speaker SPEAKER_18
transcript.pyannote[2496].start 12354.97784375
transcript.pyannote[2496].end 12356.88471875
transcript.pyannote[2497].speaker SPEAKER_18
transcript.pyannote[2497].start 12357.64409375
transcript.pyannote[2497].end 12362.06534375
transcript.pyannote[2498].speaker SPEAKER_18
transcript.pyannote[2498].start 12362.97659375
transcript.pyannote[2498].end 12363.98909375
transcript.pyannote[2499].speaker SPEAKER_18
transcript.pyannote[2499].start 12364.96784375
transcript.pyannote[2499].end 12366.25034375
transcript.pyannote[2500].speaker SPEAKER_22
transcript.pyannote[2500].start 12366.25034375
transcript.pyannote[2500].end 12376.69596875
transcript.pyannote[2501].speaker SPEAKER_18
transcript.pyannote[2501].start 12367.02659375
transcript.pyannote[2501].end 12369.06846875
transcript.pyannote[2502].speaker SPEAKER_18
transcript.pyannote[2502].start 12370.72221875
transcript.pyannote[2502].end 12371.95409375
transcript.pyannote[2503].speaker SPEAKER_18
transcript.pyannote[2503].start 12374.77221875
transcript.pyannote[2503].end 12374.97471875
transcript.pyannote[2504].speaker SPEAKER_18
transcript.pyannote[2504].start 12375.86909375
transcript.pyannote[2504].end 12376.64534375
transcript.pyannote[2505].speaker SPEAKER_18
transcript.pyannote[2505].start 12376.69596875
transcript.pyannote[2505].end 12376.79721875
transcript.pyannote[2506].speaker SPEAKER_22
transcript.pyannote[2506].start 12376.79721875
transcript.pyannote[2506].end 12378.26534375
transcript.pyannote[2507].speaker SPEAKER_22
transcript.pyannote[2507].start 12379.98659375
transcript.pyannote[2507].end 12395.17409375
transcript.pyannote[2508].speaker SPEAKER_18
transcript.pyannote[2508].start 12393.21659375
transcript.pyannote[2508].end 12394.68471875
transcript.pyannote[2509].speaker SPEAKER_18
transcript.pyannote[2509].start 12395.17409375
transcript.pyannote[2509].end 12395.20784375
transcript.pyannote[2510].speaker SPEAKER_22
transcript.pyannote[2510].start 12395.20784375
transcript.pyannote[2510].end 12395.29221875
transcript.pyannote[2511].speaker SPEAKER_18
transcript.pyannote[2511].start 12395.29221875
transcript.pyannote[2511].end 12395.34284375
transcript.pyannote[2512].speaker SPEAKER_22
transcript.pyannote[2512].start 12395.34284375
transcript.pyannote[2512].end 12398.34659375
transcript.pyannote[2513].speaker SPEAKER_18
transcript.pyannote[2513].start 12395.41034375
transcript.pyannote[2513].end 12398.44784375
transcript.pyannote[2514].speaker SPEAKER_18
transcript.pyannote[2514].start 12398.75159375
transcript.pyannote[2514].end 12399.76409375
transcript.pyannote[2515].speaker SPEAKER_12
transcript.pyannote[2515].start 12400.16909375
transcript.pyannote[2515].end 12400.20284375
transcript.pyannote[2516].speaker SPEAKER_18
transcript.pyannote[2516].start 12400.20284375
transcript.pyannote[2516].end 12400.81034375
transcript.pyannote[2517].speaker SPEAKER_18
transcript.pyannote[2517].start 12401.26596875
transcript.pyannote[2517].end 12404.96159375
transcript.pyannote[2518].speaker SPEAKER_18
transcript.pyannote[2518].start 12405.67034375
transcript.pyannote[2518].end 12408.08346875
transcript.pyannote[2519].speaker SPEAKER_18
transcript.pyannote[2519].start 12408.33659375
transcript.pyannote[2519].end 12410.20971875
transcript.pyannote[2520].speaker SPEAKER_18
transcript.pyannote[2520].start 12410.74971875
transcript.pyannote[2520].end 12413.73659375
transcript.pyannote[2521].speaker SPEAKER_18
transcript.pyannote[2521].start 12413.83784375
transcript.pyannote[2521].end 12414.14159375
transcript.pyannote[2522].speaker SPEAKER_12
transcript.pyannote[2522].start 12413.93909375
transcript.pyannote[2522].end 12414.25971875
transcript.pyannote[2523].speaker SPEAKER_18
transcript.pyannote[2523].start 12414.25971875
transcript.pyannote[2523].end 12414.98534375
transcript.pyannote[2524].speaker SPEAKER_12
transcript.pyannote[2524].start 12414.27659375
transcript.pyannote[2524].end 12414.34409375
transcript.pyannote[2525].speaker SPEAKER_18
transcript.pyannote[2525].start 12415.32284375
transcript.pyannote[2525].end 12417.78659375
transcript.pyannote[2526].speaker SPEAKER_18
transcript.pyannote[2526].start 12418.05659375
transcript.pyannote[2526].end 12418.49534375
transcript.pyannote[2527].speaker SPEAKER_18
transcript.pyannote[2527].start 12419.72721875
transcript.pyannote[2527].end 12421.29659375
transcript.pyannote[2528].speaker SPEAKER_18
transcript.pyannote[2528].start 12421.51596875
transcript.pyannote[2528].end 12423.23721875
transcript.pyannote[2529].speaker SPEAKER_18
transcript.pyannote[2529].start 12423.50721875
transcript.pyannote[2529].end 12425.32971875
transcript.pyannote[2530].speaker SPEAKER_18
transcript.pyannote[2530].start 12426.07221875
transcript.pyannote[2530].end 12426.51096875
transcript.pyannote[2531].speaker SPEAKER_18
transcript.pyannote[2531].start 12426.98346875
transcript.pyannote[2531].end 12429.59909375
transcript.pyannote[2532].speaker SPEAKER_18
transcript.pyannote[2532].start 12429.85221875
transcript.pyannote[2532].end 12439.82534375
transcript.pyannote[2533].speaker SPEAKER_20
transcript.pyannote[2533].start 12433.26096875
transcript.pyannote[2533].end 12436.29846875
transcript.pyannote[2534].speaker SPEAKER_18
transcript.pyannote[2534].start 12440.07846875
transcript.pyannote[2534].end 12442.22159375
transcript.pyannote[2535].speaker SPEAKER_18
transcript.pyannote[2535].start 12442.44096875
transcript.pyannote[2535].end 12443.87534375
transcript.pyannote[2536].speaker SPEAKER_18
transcript.pyannote[2536].start 12444.12846875
transcript.pyannote[2536].end 12445.12409375
transcript.pyannote[2537].speaker SPEAKER_18
transcript.pyannote[2537].start 12445.22534375
transcript.pyannote[2537].end 12446.05221875
transcript.pyannote[2538].speaker SPEAKER_12
transcript.pyannote[2538].start 12446.28846875
transcript.pyannote[2538].end 12447.84096875
transcript.pyannote[2539].speaker SPEAKER_18
transcript.pyannote[2539].start 12446.87909375
transcript.pyannote[2539].end 12447.38534375
transcript.pyannote[2540].speaker SPEAKER_18
transcript.pyannote[2540].start 12447.65534375
transcript.pyannote[2540].end 12449.08971875
transcript.pyannote[2541].speaker SPEAKER_12
transcript.pyannote[2541].start 12449.34284375
transcript.pyannote[2541].end 12449.71409375
transcript.pyannote[2542].speaker SPEAKER_18
transcript.pyannote[2542].start 12449.71409375
transcript.pyannote[2542].end 12452.43096875
transcript.pyannote[2543].speaker SPEAKER_23
transcript.pyannote[2543].start 12452.16096875
transcript.pyannote[2543].end 12452.41409375
transcript.pyannote[2544].speaker SPEAKER_23
transcript.pyannote[2544].start 12452.43096875
transcript.pyannote[2544].end 12452.58284375
transcript.pyannote[2545].speaker SPEAKER_12
transcript.pyannote[2545].start 12452.58284375
transcript.pyannote[2545].end 12452.61659375
transcript.pyannote[2546].speaker SPEAKER_23
transcript.pyannote[2546].start 12452.61659375
transcript.pyannote[2546].end 12452.65034375
transcript.pyannote[2547].speaker SPEAKER_12
transcript.pyannote[2547].start 12452.65034375
transcript.pyannote[2547].end 12452.73471875
transcript.pyannote[2548].speaker SPEAKER_18
transcript.pyannote[2548].start 12452.75159375
transcript.pyannote[2548].end 12455.78909375
transcript.pyannote[2549].speaker SPEAKER_18
transcript.pyannote[2549].start 12456.04221875
transcript.pyannote[2549].end 12458.03346875
transcript.pyannote[2550].speaker SPEAKER_17
transcript.pyannote[2550].start 12458.03346875
transcript.pyannote[2550].end 12458.18534375
transcript.pyannote[2551].speaker SPEAKER_18
transcript.pyannote[2551].start 12458.87721875
transcript.pyannote[2551].end 12458.89409375
transcript.pyannote[2552].speaker SPEAKER_17
transcript.pyannote[2552].start 12458.89409375
transcript.pyannote[2552].end 12462.10034375
transcript.pyannote[2553].speaker SPEAKER_17
transcript.pyannote[2553].start 12462.52221875
transcript.pyannote[2553].end 12465.10409375
transcript.pyannote[2554].speaker SPEAKER_18
transcript.pyannote[2554].start 12464.98596875
transcript.pyannote[2554].end 12465.81284375
transcript.pyannote[2555].speaker SPEAKER_17
transcript.pyannote[2555].start 12465.17159375
transcript.pyannote[2555].end 12465.25596875
transcript.pyannote[2556].speaker SPEAKER_17
transcript.pyannote[2556].start 12465.79596875
transcript.pyannote[2556].end 12467.48346875
transcript.pyannote[2557].speaker SPEAKER_17
transcript.pyannote[2557].start 12467.60159375
transcript.pyannote[2557].end 12470.97659375
transcript.pyannote[2558].speaker SPEAKER_18
transcript.pyannote[2558].start 12470.62221875
transcript.pyannote[2558].end 12471.90471875
transcript.pyannote[2559].speaker SPEAKER_18
transcript.pyannote[2559].start 12472.29284375
transcript.pyannote[2559].end 12474.16596875
transcript.pyannote[2560].speaker SPEAKER_17
transcript.pyannote[2560].start 12474.16596875
transcript.pyannote[2560].end 12474.70596875
transcript.pyannote[2561].speaker SPEAKER_18
transcript.pyannote[2561].start 12474.70596875
transcript.pyannote[2561].end 12476.10659375
transcript.pyannote[2562].speaker SPEAKER_17
transcript.pyannote[2562].start 12474.73971875
transcript.pyannote[2562].end 12477.10221875
transcript.pyannote[2563].speaker SPEAKER_18
transcript.pyannote[2563].start 12476.52846875
transcript.pyannote[2563].end 12477.15284375
transcript.pyannote[2564].speaker SPEAKER_17
transcript.pyannote[2564].start 12477.15284375
transcript.pyannote[2564].end 12477.22034375
transcript.pyannote[2565].speaker SPEAKER_18
transcript.pyannote[2565].start 12477.22034375
transcript.pyannote[2565].end 12478.85721875
transcript.pyannote[2566].speaker SPEAKER_17
transcript.pyannote[2566].start 12478.85721875
transcript.pyannote[2566].end 12478.87409375
transcript.pyannote[2567].speaker SPEAKER_18
transcript.pyannote[2567].start 12479.44784375
transcript.pyannote[2567].end 12479.51534375
transcript.pyannote[2568].speaker SPEAKER_17
transcript.pyannote[2568].start 12479.51534375
transcript.pyannote[2568].end 12481.99596875
transcript.pyannote[2569].speaker SPEAKER_18
transcript.pyannote[2569].start 12481.99596875
transcript.pyannote[2569].end 12482.06346875
transcript.pyannote[2570].speaker SPEAKER_18
transcript.pyannote[2570].start 12482.09721875
transcript.pyannote[2570].end 12484.08846875
transcript.pyannote[2571].speaker SPEAKER_18
transcript.pyannote[2571].start 12484.37534375
transcript.pyannote[2571].end 12485.91096875
transcript.pyannote[2572].speaker SPEAKER_18
transcript.pyannote[2572].start 12486.33284375
transcript.pyannote[2572].end 12491.46284375
transcript.pyannote[2573].speaker SPEAKER_18
transcript.pyannote[2573].start 12491.88471875
transcript.pyannote[2573].end 12492.03659375
transcript.pyannote[2574].speaker SPEAKER_17
transcript.pyannote[2574].start 12492.03659375
transcript.pyannote[2574].end 12493.45409375
transcript.pyannote[2575].speaker SPEAKER_17
transcript.pyannote[2575].start 12494.44971875
transcript.pyannote[2575].end 12507.91596875
transcript.pyannote[2576].speaker SPEAKER_18
transcript.pyannote[2576].start 12494.70284375
transcript.pyannote[2576].end 12495.37784375
transcript.pyannote[2577].speaker SPEAKER_18
transcript.pyannote[2577].start 12503.79846875
transcript.pyannote[2577].end 12509.70471875
transcript.pyannote[2578].speaker SPEAKER_17
transcript.pyannote[2578].start 12508.69221875
transcript.pyannote[2578].end 12508.70909375
transcript.pyannote[2579].speaker SPEAKER_18
transcript.pyannote[2579].start 12509.89034375
transcript.pyannote[2579].end 12511.47659375
transcript.pyannote[2580].speaker SPEAKER_18
transcript.pyannote[2580].start 12511.89846875
transcript.pyannote[2580].end 12515.74596875
transcript.pyannote[2581].speaker SPEAKER_18
transcript.pyannote[2581].start 12516.67409375
transcript.pyannote[2581].end 12517.95659375
transcript.pyannote[2582].speaker SPEAKER_18
transcript.pyannote[2582].start 12518.36159375
transcript.pyannote[2582].end 12521.29784375
transcript.pyannote[2583].speaker SPEAKER_18
transcript.pyannote[2583].start 12521.41596875
transcript.pyannote[2583].end 12523.27221875
transcript.pyannote[2584].speaker SPEAKER_18
transcript.pyannote[2584].start 12523.76159375
transcript.pyannote[2584].end 12524.68971875
transcript.pyannote[2585].speaker SPEAKER_17
transcript.pyannote[2585].start 12525.51659375
transcript.pyannote[2585].end 12532.85721875
transcript.pyannote[2586].speaker SPEAKER_18
transcript.pyannote[2586].start 12530.47784375
transcript.pyannote[2586].end 12530.49471875
transcript.pyannote[2587].speaker SPEAKER_12
transcript.pyannote[2587].start 12530.49471875
transcript.pyannote[2587].end 12531.32159375
transcript.pyannote[2588].speaker SPEAKER_12
transcript.pyannote[2588].start 12532.85721875
transcript.pyannote[2588].end 12533.58284375
transcript.pyannote[2589].speaker SPEAKER_17
transcript.pyannote[2589].start 12533.34659375
transcript.pyannote[2589].end 12539.16846875
transcript.pyannote[2590].speaker SPEAKER_17
transcript.pyannote[2590].start 12539.30346875
transcript.pyannote[2590].end 12545.71596875
transcript.pyannote[2591].speaker SPEAKER_18
transcript.pyannote[2591].start 12543.58971875
transcript.pyannote[2591].end 12544.50096875
transcript.pyannote[2592].speaker SPEAKER_18
transcript.pyannote[2592].start 12544.70346875
transcript.pyannote[2592].end 12545.69909375
transcript.pyannote[2593].speaker SPEAKER_18
transcript.pyannote[2593].start 12545.71596875
transcript.pyannote[2593].end 12545.74971875
transcript.pyannote[2594].speaker SPEAKER_17
transcript.pyannote[2594].start 12545.74971875
transcript.pyannote[2594].end 12545.76659375
transcript.pyannote[2595].speaker SPEAKER_18
transcript.pyannote[2595].start 12545.76659375
transcript.pyannote[2595].end 12545.78346875
transcript.pyannote[2596].speaker SPEAKER_17
transcript.pyannote[2596].start 12545.78346875
transcript.pyannote[2596].end 12548.75346875
transcript.pyannote[2597].speaker SPEAKER_18
transcript.pyannote[2597].start 12547.74096875
transcript.pyannote[2597].end 12554.62596875
transcript.pyannote[2598].speaker SPEAKER_20
transcript.pyannote[2598].start 12554.89596875
transcript.pyannote[2598].end 12559.03034375
transcript.pyannote[2599].speaker SPEAKER_18
transcript.pyannote[2599].start 12555.09846875
transcript.pyannote[2599].end 12558.32159375
transcript.pyannote[2600].speaker SPEAKER_18
transcript.pyannote[2600].start 12559.03034375
transcript.pyannote[2600].end 12559.04721875
transcript.pyannote[2601].speaker SPEAKER_20
transcript.pyannote[2601].start 12559.04721875
transcript.pyannote[2601].end 12559.06409375
transcript.pyannote[2602].speaker SPEAKER_18
transcript.pyannote[2602].start 12559.06409375
transcript.pyannote[2602].end 12564.73409375
transcript.pyannote[2603].speaker SPEAKER_20
transcript.pyannote[2603].start 12561.10596875
transcript.pyannote[2603].end 12561.81471875
transcript.pyannote[2604].speaker SPEAKER_17
transcript.pyannote[2604].start 12561.81471875
transcript.pyannote[2604].end 12561.93284375
transcript.pyannote[2605].speaker SPEAKER_20
transcript.pyannote[2605].start 12561.93284375
transcript.pyannote[2605].end 12561.96659375
transcript.pyannote[2606].speaker SPEAKER_12
transcript.pyannote[2606].start 12561.96659375
transcript.pyannote[2606].end 12562.03409375
transcript.pyannote[2607].speaker SPEAKER_17
transcript.pyannote[2607].start 12562.03409375
transcript.pyannote[2607].end 12562.20284375
transcript.pyannote[2608].speaker SPEAKER_12
transcript.pyannote[2608].start 12562.20284375
transcript.pyannote[2608].end 12562.32096875
transcript.pyannote[2609].speaker SPEAKER_17
transcript.pyannote[2609].start 12562.32096875
transcript.pyannote[2609].end 12562.35471875
transcript.pyannote[2610].speaker SPEAKER_20
transcript.pyannote[2610].start 12562.35471875
transcript.pyannote[2610].end 12562.40534375
transcript.pyannote[2611].speaker SPEAKER_17
transcript.pyannote[2611].start 12565.99971875
transcript.pyannote[2611].end 12571.56846875
transcript.pyannote[2612].speaker SPEAKER_18
transcript.pyannote[2612].start 12570.16784375
transcript.pyannote[2612].end 12573.84659375
transcript.pyannote[2613].speaker SPEAKER_18
transcript.pyannote[2613].start 12574.21784375
transcript.pyannote[2613].end 12580.63034375
transcript.pyannote[2614].speaker SPEAKER_18
transcript.pyannote[2614].start 12581.30534375
transcript.pyannote[2614].end 12582.25034375
transcript.pyannote[2615].speaker SPEAKER_18
transcript.pyannote[2615].start 12582.35159375
transcript.pyannote[2615].end 12585.92909375
transcript.pyannote[2616].speaker SPEAKER_18
transcript.pyannote[2616].start 12586.18221875
transcript.pyannote[2616].end 12591.41346875
transcript.pyannote[2617].speaker SPEAKER_18
transcript.pyannote[2617].start 12591.78471875
transcript.pyannote[2617].end 12594.16409375
transcript.pyannote[2618].speaker SPEAKER_18
transcript.pyannote[2618].start 12594.87284375
transcript.pyannote[2618].end 12595.83471875
transcript.pyannote[2619].speaker SPEAKER_18
transcript.pyannote[2619].start 12595.93596875
transcript.pyannote[2619].end 12597.30284375
transcript.pyannote[2620].speaker SPEAKER_18
transcript.pyannote[2620].start 12598.58534375
transcript.pyannote[2620].end 12599.44596875
transcript.pyannote[2621].speaker SPEAKER_18
transcript.pyannote[2621].start 12600.81284375
transcript.pyannote[2621].end 12602.46659375
transcript.pyannote[2622].speaker SPEAKER_18
transcript.pyannote[2622].start 12602.48346875
transcript.pyannote[2622].end 12606.98909375
transcript.pyannote[2623].speaker SPEAKER_16
transcript.pyannote[2623].start 12605.28471875
transcript.pyannote[2623].end 12606.83721875
transcript.pyannote[2624].speaker SPEAKER_16
transcript.pyannote[2624].start 12606.98909375
transcript.pyannote[2624].end 12607.02284375
transcript.pyannote[2625].speaker SPEAKER_18
transcript.pyannote[2625].start 12607.02284375
transcript.pyannote[2625].end 12608.08596875
transcript.pyannote[2626].speaker SPEAKER_16
transcript.pyannote[2626].start 12607.19159375
transcript.pyannote[2626].end 12608.06909375
transcript.pyannote[2627].speaker SPEAKER_16
transcript.pyannote[2627].start 12608.08596875
transcript.pyannote[2627].end 12608.10284375
transcript.pyannote[2628].speaker SPEAKER_18
transcript.pyannote[2628].start 12608.10284375
transcript.pyannote[2628].end 12609.62159375
transcript.pyannote[2629].speaker SPEAKER_18
transcript.pyannote[2629].start 12610.46534375
transcript.pyannote[2629].end 12612.30471875
transcript.pyannote[2630].speaker SPEAKER_18
transcript.pyannote[2630].start 12612.81096875
transcript.pyannote[2630].end 12613.19909375
transcript.pyannote[2631].speaker SPEAKER_18
transcript.pyannote[2631].start 12614.04284375
transcript.pyannote[2631].end 12614.97096875
transcript.pyannote[2632].speaker SPEAKER_20
transcript.pyannote[2632].start 12614.97096875
transcript.pyannote[2632].end 12616.27034375
transcript.pyannote[2633].speaker SPEAKER_18
transcript.pyannote[2633].start 12616.21971875
transcript.pyannote[2633].end 12627.05346875
transcript.pyannote[2634].speaker SPEAKER_18
transcript.pyannote[2634].start 12627.64409375
transcript.pyannote[2634].end 12629.39909375
transcript.pyannote[2635].speaker SPEAKER_18
transcript.pyannote[2635].start 12629.78721875
transcript.pyannote[2635].end 12630.98534375
transcript.pyannote[2636].speaker SPEAKER_18
transcript.pyannote[2636].start 12631.30596875
transcript.pyannote[2636].end 12638.89971875
transcript.pyannote[2637].speaker SPEAKER_23
transcript.pyannote[2637].start 12634.05659375
transcript.pyannote[2637].end 12634.98471875
transcript.pyannote[2638].speaker SPEAKER_20
transcript.pyannote[2638].start 12635.35596875
transcript.pyannote[2638].end 12635.40659375
transcript.pyannote[2639].speaker SPEAKER_23
transcript.pyannote[2639].start 12635.40659375
transcript.pyannote[2639].end 12635.42346875
transcript.pyannote[2640].speaker SPEAKER_23
transcript.pyannote[2640].start 12638.89971875
transcript.pyannote[2640].end 12638.95034375
transcript.pyannote[2641].speaker SPEAKER_18
transcript.pyannote[2641].start 12638.95034375
transcript.pyannote[2641].end 12638.96721875
transcript.pyannote[2642].speaker SPEAKER_23
transcript.pyannote[2642].start 12638.96721875
transcript.pyannote[2642].end 12639.13596875
transcript.pyannote[2643].speaker SPEAKER_18
transcript.pyannote[2643].start 12639.13596875
transcript.pyannote[2643].end 12639.15284375
transcript.pyannote[2644].speaker SPEAKER_18
transcript.pyannote[2644].start 12639.18659375
transcript.pyannote[2644].end 12641.19471875
transcript.pyannote[2645].speaker SPEAKER_23
transcript.pyannote[2645].start 12641.19471875
transcript.pyannote[2645].end 12641.56596875
transcript.pyannote[2646].speaker SPEAKER_18
transcript.pyannote[2646].start 12641.56596875
transcript.pyannote[2646].end 12647.21909375
transcript.pyannote[2647].speaker SPEAKER_18
transcript.pyannote[2647].start 12647.35409375
transcript.pyannote[2647].end 12650.15534375
transcript.pyannote[2648].speaker SPEAKER_18
transcript.pyannote[2648].start 12650.27346875
transcript.pyannote[2648].end 12651.79221875
transcript.pyannote[2649].speaker SPEAKER_18
transcript.pyannote[2649].start 12652.06221875
transcript.pyannote[2649].end 12653.19284375
transcript.pyannote[2650].speaker SPEAKER_18
transcript.pyannote[2650].start 12653.58096875
transcript.pyannote[2650].end 12654.32346875
transcript.pyannote[2651].speaker SPEAKER_18
transcript.pyannote[2651].start 12654.55971875
transcript.pyannote[2651].end 12656.41596875
transcript.pyannote[2652].speaker SPEAKER_17
transcript.pyannote[2652].start 12657.85034375
transcript.pyannote[2652].end 12662.01846875
transcript.pyannote[2653].speaker SPEAKER_17
transcript.pyannote[2653].start 12662.23784375
transcript.pyannote[2653].end 12662.62596875
transcript.pyannote[2654].speaker SPEAKER_18
transcript.pyannote[2654].start 12662.74409375
transcript.pyannote[2654].end 12663.25034375
transcript.pyannote[2655].speaker SPEAKER_18
transcript.pyannote[2655].start 12663.63846875
transcript.pyannote[2655].end 12664.49909375
transcript.pyannote[2656].speaker SPEAKER_18
transcript.pyannote[2656].start 12664.85346875
transcript.pyannote[2656].end 12666.10221875
transcript.pyannote[2657].speaker SPEAKER_18
transcript.pyannote[2657].start 12666.94596875
transcript.pyannote[2657].end 12670.60784375
transcript.pyannote[2658].speaker SPEAKER_18
transcript.pyannote[2658].start 12671.16471875
transcript.pyannote[2658].end 12676.21034375
transcript.pyannote[2659].speaker SPEAKER_18
transcript.pyannote[2659].start 12676.61534375
transcript.pyannote[2659].end 12678.23534375
transcript.pyannote[2660].speaker SPEAKER_18
transcript.pyannote[2660].start 12678.50534375
transcript.pyannote[2660].end 12680.14221875
transcript.pyannote[2661].speaker SPEAKER_18
transcript.pyannote[2661].start 12680.49659375
transcript.pyannote[2661].end 12684.81659375
transcript.pyannote[2662].speaker SPEAKER_18
transcript.pyannote[2662].start 12684.98534375
transcript.pyannote[2662].end 12686.94284375
transcript.pyannote[2663].speaker SPEAKER_18
transcript.pyannote[2663].start 12686.95971875
transcript.pyannote[2663].end 12687.73596875
transcript.pyannote[2664].speaker SPEAKER_18
transcript.pyannote[2664].start 12688.20846875
transcript.pyannote[2664].end 12696.51096875
transcript.pyannote[2665].speaker SPEAKER_18
transcript.pyannote[2665].start 12696.71346875
transcript.pyannote[2665].end 12698.55284375
transcript.pyannote[2666].speaker SPEAKER_18
transcript.pyannote[2666].start 12698.77221875
transcript.pyannote[2666].end 12702.09659375
transcript.pyannote[2667].speaker SPEAKER_18
transcript.pyannote[2667].start 12702.77159375
transcript.pyannote[2667].end 12704.40846875
transcript.pyannote[2668].speaker SPEAKER_18
transcript.pyannote[2668].start 12704.83034375
transcript.pyannote[2668].end 12708.27284375
transcript.pyannote[2669].speaker SPEAKER_18
transcript.pyannote[2669].start 12708.50909375
transcript.pyannote[2669].end 12709.77471875
transcript.pyannote[2670].speaker SPEAKER_18
transcript.pyannote[2670].start 12710.07846875
transcript.pyannote[2670].end 12711.64784375
transcript.pyannote[2671].speaker SPEAKER_18
transcript.pyannote[2671].start 12711.78284375
transcript.pyannote[2671].end 12713.13284375
transcript.pyannote[2672].speaker SPEAKER_18
transcript.pyannote[2672].start 12713.28471875
transcript.pyannote[2672].end 12715.66409375
transcript.pyannote[2673].speaker SPEAKER_18
transcript.pyannote[2673].start 12716.96346875
transcript.pyannote[2673].end 12717.87471875
transcript.pyannote[2674].speaker SPEAKER_18
transcript.pyannote[2674].start 12719.03909375
transcript.pyannote[2674].end 12726.49784375
transcript.pyannote[2675].speaker SPEAKER_17
transcript.pyannote[2675].start 12721.60409375
transcript.pyannote[2675].end 12724.03409375
transcript.pyannote[2676].speaker SPEAKER_17
transcript.pyannote[2676].start 12726.49784375
transcript.pyannote[2676].end 12726.95346875
transcript.pyannote[2677].speaker SPEAKER_18
transcript.pyannote[2677].start 12726.95346875
transcript.pyannote[2677].end 12730.68284375
transcript.pyannote[2678].speaker SPEAKER_18
transcript.pyannote[2678].start 12731.27346875
transcript.pyannote[2678].end 12733.68659375
transcript.pyannote[2679].speaker SPEAKER_17
transcript.pyannote[2679].start 12733.80471875
transcript.pyannote[2679].end 12733.85534375
transcript.pyannote[2680].speaker SPEAKER_17
transcript.pyannote[2680].start 12733.87221875
transcript.pyannote[2680].end 12733.92284375
transcript.pyannote[2681].speaker SPEAKER_18
transcript.pyannote[2681].start 12734.12534375
transcript.pyannote[2681].end 12735.35721875
transcript.pyannote[2682].speaker SPEAKER_21
transcript.pyannote[2682].start 12736.48784375
transcript.pyannote[2682].end 12737.17971875
transcript.pyannote[2683].speaker SPEAKER_21
transcript.pyannote[2683].start 12737.55096875
transcript.pyannote[2683].end 12740.92596875
transcript.pyannote[2684].speaker SPEAKER_21
transcript.pyannote[2684].start 12741.41534375
transcript.pyannote[2684].end 12743.13659375
transcript.pyannote[2685].speaker SPEAKER_21
transcript.pyannote[2685].start 12743.54159375
transcript.pyannote[2685].end 12744.36846875
transcript.pyannote[2686].speaker SPEAKER_21
transcript.pyannote[2686].start 12744.79034375
transcript.pyannote[2686].end 12745.53284375
transcript.pyannote[2687].speaker SPEAKER_21
transcript.pyannote[2687].start 12745.85346875
transcript.pyannote[2687].end 12747.62534375
transcript.pyannote[2688].speaker SPEAKER_21
transcript.pyannote[2688].start 12747.74346875
transcript.pyannote[2688].end 12749.32971875
transcript.pyannote[2689].speaker SPEAKER_21
transcript.pyannote[2689].start 12749.86971875
transcript.pyannote[2689].end 12750.24096875
transcript.pyannote[2690].speaker SPEAKER_21
transcript.pyannote[2690].start 12751.05096875
transcript.pyannote[2690].end 12755.01659375
transcript.pyannote[2691].speaker SPEAKER_21
transcript.pyannote[2691].start 12755.67471875
transcript.pyannote[2691].end 12792.00659375
transcript.whisperx[0].start 468.056
transcript.whisperx[0].end 468.896
transcript.whisperx[0].text 委員會主席
transcript.whisperx[1].start 600.97
transcript.whisperx[1].end 601.031
transcript.whisperx[1].text 本集完
transcript.whisperx[2].start 990.717
transcript.whisperx[2].end 996.268
transcript.whisperx[2].text 主席
transcript.whisperx[3].start 1405.553
transcript.whisperx[3].end 1405.613
transcript.whisperx[3].text 本集完
transcript.whisperx[4].start 1749.161
transcript.whisperx[4].end 1764.499
transcript.whisperx[4].text 好,我們現在請主秘報告出席人數報告全體會出席委員13人以主法定人數好,那我們現在正式開會進行報告事項請宣讀上次會議事錄
transcript.whisperx[5].start 1766.328
transcript.whisperx[5].end 1794.25
transcript.whisperx[5].text 立法院第11屆第1會期經濟委員會第16次全體委員會議(事入時間113年6月12日星期三9時至12時53分6月13日星期四9時2分至12時5分地點紅樓101會議室出席委員林大化委員等14人略席委員洪孟航委員等14人略席委員6月12日星期三國發會主委劉靜卿經濟部長顧志輝國科會副主委林法正
transcript.whisperx[6].start 1795.07
transcript.whisperx[6].end 1817.041
transcript.whisperx[6].text 出發部政次林怡靜交易部政次葉秉成及各單位相關人員6月13日星期四農業部長陳俊俊及相關人員考選部內政部交易部衛福部法務部工程會各單位代表及其相關人員主席楊超吉委員瓊英6月12日星期三報告思強宣讀上次會議事務決定確定
transcript.whisperx[7].start 1818.382
transcript.whisperx[7].end 1839.161
transcript.whisperx[7].text 一一邀請國家發展委員會主任委員經濟部部長國家科學及技術委員會首長數位發展部首長教育部首長就為掌握深層式AI等關鍵技術帶來的產業革命機會臺灣要如何深化AI生態系及充實AI人才與產業AI化促進臺灣產業數位轉型與運用AI賦能升級
transcript.whisperx[8].start 1843.084
transcript.whisperx[8].end 1870.637
transcript.whisperx[8].text 拓展產業發展打造智慧未來進行報告.並備質詢。國發會主委劉敬欽及經濟部長郭志輝報告後委員林大化等會誰人提出質詢均由國發會主委劉敬欽、處發部政次林怡靜、國科會副主委林法正、經濟部長郭志輝及教育部政次葉秉成及相關人員即席答覆決定一、宣布登記發言委員處不在場走壞其餘軍方完畢行答協助二、委員莊惠雄、陳冠廷及張
transcript.whisperx[9].start 1871.998
transcript.whisperx[9].end 1878.171
transcript.whisperx[9].text 齊凱首席書面質詢日日記錄刊登公報三書面質詢阿維及答覆部分請相關單位與一周內書面答覆並複資本會
transcript.whisperx[10].start 1880.783
transcript.whisperx[10].end 1896.709
transcript.whisperx[10].text 6月13日星期四討論事項審查一本院委員陳樹岳等17人已具職務診療施法草案案討論事項可並詢答委員楊秋英說明提案要職農業部長陳俊俊報告後委員鄭念前等17人提出質詢經由農業部陳部長及衛福部食藥署周簡記
transcript.whisperx[11].start 1902.651
transcript.whisperx[11].end 1924.432
transcript.whisperx[11].text 及相關人員及其答覆.登記發言委員.處不在場.走壞局域軍委發言委員必尋答.決訴委員.明帶話.所推書面質詢.列入紀錄勘定公報.書面質詢案未及答覆.部分引項.相關單位與證案以書面答覆.並複製本會二委員.本院委員邱英營等17人.已具職務整條司法草案案.三本院委員楊秋英等24人.已具職務整條司法草案案.決議尋答決說令定期繼續審查.散會宣讀完�
transcript.whisperx[12].start 1929.431
transcript.whisperx[12].end 1942.636
transcript.whisperx[12].text 好 那我們現在進行報告事項第二案請宣讀邀請經濟部部長就面對國營事業未來10年人力嚴重斷層之因應作為進行報告.並備質詢宣讀完畢
transcript.whisperx[13].start 1948.513
transcript.whisperx[13].end 1976.34
transcript.whisperx[13].text 好,那我們146待會等到主法定人數我們再做確認那本日議程排定的是面對國營事業未來10年人力嚴重斷層之因應作為進行報告並備質詢那現在因為我們的這個顧部長經濟部部長他公出那請假由連錦章次長代表列席連次長調生之後首次
transcript.whisperx[14].start 1976.96
transcript.whisperx[14].end 1983.426
transcript.whisperx[14].text 到我們本委會來做備詢首先要恭喜連次長那現在我們請經濟部連錦章次長進行報告
transcript.whisperx[15].start 1996.604
transcript.whisperx[15].end 2023.988
transcript.whisperx[15].text 主席、各位委員.承蒙國委員會邀請本部就經濟部面對國營事業未來10年人力嚴重斷層的因應作為進行報告那本部所屬臺電、中油、臺糖及臺水公司等國營事業具公共事業與生產事業的雙重經營特性堅固穩定充分公民民生與公會發展的要求並與人民生活及社會經濟發展息息相關因此公私人力應用行行
transcript.whisperx[16].start 2024.588
transcript.whisperx[16].end 2039.98
transcript.whisperx[16].text 有關營運發展及提供民眾優質的服務品質那各4類人力為什麼產生斷層主要原因有下列三類一個就是82年到93年因應民運化政策採用精簡人力停止禁用新進人員後來從93年因為民運化趨緩所以才又開始禁用人力這中間產生了10年的斷層
transcript.whisperx[17].start 2047.225
transcript.whisperx[17].end 2057.907
transcript.whisperx[17].text 另外一個就是97年勞基法因為退休人員從60年到65歲造成國營稅人員老化的問題另外一個就是在預算員的部分在
transcript.whisperx[18].start 2059.062
transcript.whisperx[18].end 2083.239
transcript.whisperx[18].text 主計的相關規定是不能超過前3年的一個用年費費率的平均式再來是下年度不能超過上年度預算原有30%所以造成一些禁用原有一個人力的限制那針對這個問題經濟部提出了以下幾個相對應的一個改善措施那其中有關台電、中油、台糖、台水等等這些措施在簡報上
transcript.whisperx[19].start 2085
transcript.whisperx[19].end 2112.401
transcript.whisperx[19].text 請大請委員參考我簡略的大概講幾個措施第一個就是我們提前的應用未來年度空缺的一個方案等於是說把未來的空缺我們可以在預算額度的情況下讓你提前去應用另外一個就是我們透過產學合作採取多元零採的管道那透過一些產學合作或是一些獎學金的制度然後來多方的禁用人力另外一個
transcript.whisperx[20].start 2113.837
transcript.whisperx[20].end 2132.058
transcript.whisperx[20].text 就是我們針對這些進來的這些人力我們強化一些新進人員的實習訓練跟考核還有職務論調而且這種國營事業是有一些師徒制我們也進行了一些實施業師的一個制度來推動整個一個人才培訓的一個訓練
transcript.whisperx[21].start 2134.36
transcript.whisperx[21].end 2162.903
transcript.whisperx[21].text 本部所屬事業未來5年已經到現在來看已經沒有比較大的一個退休潮而且實際的一個人齡已經從之前的差不多55歲占大比例現在已經縮短到平均年齡差不多到45歲左右所以這一部分就目前來講我們已經大幅度的改善這樣人力的一個短缺的一個狀況那最近我們台電中有台糖台水等世家也都配合能源轉型提升供應潤性等
transcript.whisperx[22].start 2163.804
transcript.whisperx[22].end 2165.265
transcript.whisperx[22].text 那以上報告進行各位委員支持跟指教
transcript.whisperx[23].start 2196.563
transcript.whisperx[23].end 2197.204
transcript.whisperx[23].text 請走出來敬禮
transcript.whisperx[24].start 2213.364
transcript.whisperx[24].end 2230.357
transcript.whisperx[24].text 行政院人事行政總署的書面報告我們請各位委員自行參閱並刊登公報現在我們進行詢答那委員詢答前主席台依循慣例做幾項的宣告每位委員發言時間本會委員6分鐘必要時加1分
transcript.whisperx[25].start 2231.718
transcript.whisperx[25].end 2243.829
transcript.whisperx[25].text 非本委員會的委員了4分鐘10點半截止發言登記我們現在請登記第一位的林黛樺委員請做詢問有請次長我們請林次長
transcript.whisperx[26].start 2253.868
transcript.whisperx[26].end 2269.066
transcript.whisperx[26].text 好那我們就針對國營事業的人力需求我們希望他是穩定發展而且人力就是我們企業的競爭力好我們針對有三個部分跟次長討論第一個人才斷層的嚴重營運是會受到影響嗎
transcript.whisperx[27].start 2273.131
transcript.whisperx[27].end 2287.267
transcript.whisperx[27].text 第二個未來10年人力缺口怎麼補齊本席兩項建議第一個加強產學合作升更基層培訓第二個全面推動國營事業的自動化跟智慧化第三個也有一個具體建議
transcript.whisperx[28].start 2288.388
transcript.whisperx[28].end 2308.179
transcript.whisperx[28].text 好,那在斷層當中在您的簡報也有提出退休高峰其實你們在109年的時候開始啟動這樣的一個議題的重視也這個65歲的介林高峰也會在119年來完整的呈現而當中最緊急的也就是在明年年
transcript.whisperx[29].start 2310.619
transcript.whisperx[29].end 2327.904
transcript.whisperx[29].text 一百一十九年到一百一十四年將會出現最高峰甚至會達到五千到七千人以上的退休人口那時候省農經省部長的時候也正式到這樣的問題下令說一定要補齊缺口而且強調過渡期不可以有人才方
transcript.whisperx[30].start 2328.504
transcript.whisperx[30].end 2350.238
transcript.whisperx[30].text 所以5年內要補齊7314人但是台電糖水這5年來補足的狀況不是很理想是呈現怎麼樣呢到今年為止你現有公司的總人數跟預算的元額總共台電糖水缺目前就缺了4291人好在你們也盤點了從明年開始
transcript.whisperx[31].start 2356.162
transcript.whisperx[31].end 2380.327
transcript.whisperx[31].text 剛才的4291人是目前的缺口你未來10年總共盤點出來台電糖水是110704291再加上未來10年到123年的11070人按照你們現在的國營事業推一補一那如果再加上我們現在生育率排名是世界倒數第二
transcript.whisperx[32].start 2381.047
transcript.whisperx[32].end 2393.841
transcript.whisperx[32].text 可能這樣人力缺口是永遠補不起的好那未來10年這個人力缺口所以呢本期在102年就開始倡議在地的高中職與國營事業產學專班也因為本期的倡議開啟了國營事業與高中職階段能夠就地培養人才
transcript.whisperx[33].start 2400.888
transcript.whisperx[33].end 2421.699
transcript.whisperx[33].text 完成了這以下產學專班所以我在這邊也非常感謝台電唐水各位董作以及同仁人事單位的支持中油跟我林園高中跟小港高中的產學專班台電跟小港高中的產學專班台水跟六龜高中的產學專班台船跟中鋼集團跟高院工商
transcript.whisperx[34].start 2422.259
transcript.whisperx[34].end 2436.034
transcript.whisperx[34].text 以及我民間的大社石化專區跟仁武高中中華電信與岐山農工等都還有相關的進行是在進行洽談當中好那這個產學合作有什麼好處呢
transcript.whisperx[35].start 2437.099
transcript.whisperx[35].end 2458.469
transcript.whisperx[35].text 那我想這個次長你也很了解這個在地的人才我留用人才甚至我們的專班辦到熊中熊女他不去念他回來讀我們的產學專班這當然是我們國營事業的相關的這個福利制度還有你們在產學當中讓家長都很清楚我們國營事業整個在轉型過程當中的一個現況能取得家長的認同
transcript.whisperx[36].start 2463.291
transcript.whisperx[36].end 2477.502
transcript.whisperx[36].text 所以這個目前我這個首創之軀是我們的中油所以甚至我們李順經理董事長我非常感謝他他甚至都認定我們林園高中就是中油所屬的
transcript.whisperx[37].start 2478.183
transcript.whisperx[37].end 2478.443
transcript.whisperx[37].text 在高雄
transcript.whisperx[38].start 2502.055
transcript.whisperx[38].end 2519.476
transcript.whisperx[38].text 還有哪些產學專班可以來進行規劃跟來執行的這是第一個等一下要請次長您來回應好那在但是呢針對全面推動國營事業的自動化跟智慧化
transcript.whisperx[39].start 2520.257
transcript.whisperx[39].end 2530.873
transcript.whisperx[39].text 在本期去年的時候我就做了要求所以我也感謝中油他有來這個經濟部這邊還有中油這邊你們結合了公園院電光進公園院的電光的這個
transcript.whisperx[40].start 2536.04
transcript.whisperx[40].end 2562.517
transcript.whisperx[40].text 的專業進行了國產武軍專晚節和AIOT所以去年7月去年10月的時候經濟部技術師也提供公研院POC的驗證經費而且年底去年12月的時候完成功能的驗證在今年3月的時候技術師也帶著公研院去看了這個成果那我也感謝中友他們也覺得說這確實是可行的可是
transcript.whisperx[41].start 2563.117
transcript.whisperx[41].end 2580.707
transcript.whisperx[41].text 他說如果我要全面執行要明年的7月這就是緩慢但是他有去回應經濟部以及他也認知到中油本身也有這樣的需求在這個智慧化的需求好相關智慧化跟自動化跟智慧化的這個機制
transcript.whisperx[42].start 2583.548
transcript.whisperx[42].end 2592.614
transcript.whisperx[42].text 雖然不能解決人員禁用但它可以減少人力需求的壓力我就以我林園廠來講它有三清四清關鍵是相當複雜我們現在的坐月區域的巡檢跟環廠道路的巡檢現在是用什麼用人力
transcript.whisperx[43].start 2600.299
transcript.whisperx[43].end 2620.691
transcript.whisperx[43].text 我們走在場區外我用肉眼去看啊那邊漏了好那我就趕快來回報啟動檢查機制為什麼我這邊就可以用無人機無人載具不是無人機是無人載具跟AI影像辨識那當然我們知道它是一個工業區所以無人載具工研院這邊都有設計環抱
transcript.whisperx[44].start 2622.452
transcript.whisperx[44].end 2623.132
transcript.whisperx[44].text 新聞新聞新聞新聞新聞新聞新聞新聞
transcript.whisperx[45].start 2639.24
transcript.whisperx[45].end 2661.866
transcript.whisperx[45].text 一天24小時7天365天全年無休啊但是我人力是有局限的所以我就可以減緩人力的需求所以不是替代人力而是補足補充我人力不足的部分在我們這個自動化跟智慧化好所以具體建議有三個也請次長回應第一個
transcript.whisperx[46].start 2662.686
transcript.whisperx[46].end 2690.052
transcript.whisperx[46].text 參考中油跟林園高中還有剛才本席所推動各國營事業的產學專班持續的來推動本席有具體的要求在我高雄這邊你們在進行一個月內完成所有的盤點各國營事業當中還有什麼樣的產學專班的規劃的一個可能性第二個全面加速推動國營事業自動化跟智慧化請經濟部專案列管我本席這邊講的專案列管是要部長主責列管
transcript.whisperx[47].start 2692.352
transcript.whisperx[47].end 2717.129
transcript.whisperx[47].text 召集公研院、金屬中心、施策會等相關法人於3個月內完成規劃另外也請部長於今年9月前也就是下會期間完成四大國營事業的仿製檢視國營事業自動化智慧化的現況跟未來為什麼本席要求一定要部長親自來督導部長是歷任的這個部長當中完整業界歷練
transcript.whisperx[48].start 2718.63
transcript.whisperx[48].end 2733.122
transcript.whisperx[48].text 第二個他所從事的半導體產業是所有國內目前自動化跟智慧化最高的產業也只有他親自督導在四大國營事業當中帶頭才有可能讓相關的中下游一併的啟動
transcript.whisperx[49].start 2734.443
transcript.whisperx[49].end 2752.119
transcript.whisperx[49].text 我整個包括我的中小企業相關的產業傳統產業的自動化跟智慧化我就能夠有一個一個這個全面提升的可行性所以我才要求部長要親自的訪視而且親自的重案列管那這個列管當中我是要求三個月完成規劃案
transcript.whisperx[50].start 2753.2
transcript.whisperx[50].end 2756.041
transcript.whisperx[50].text 包括逐年編列的預算你要達成什麼目標你什麼時候完成什麼樣的成果這是我第二個建議第三個基於就業公平及經驗傳承的原則我講清楚基於就業公平跟經驗傳承評估回聘退休人員因為你們現在人力虛財若渴
transcript.whisperx[51].start 2774.588
transcript.whisperx[51].end 2787.375
transcript.whisperx[51].text 你要工業自動化跟智慧化還是需要一些時間但是你現在就是缺人所以我說一定要就業公平我們不是要去站年輕人主導年輕人上來升遷但是在這個過渡當中我能夠在就業公平跟經驗傳承的機制評估回評退休人員帶領新進人員迅速上手
transcript.whisperx[52].start 2799.583
transcript.whisperx[52].end 2817.98
transcript.whisperx[52].text 減緩人力不足的壓力以經驗來提供專業機制甚至我們的這樣的回聘人員到什麼程度我們也應該要有一個適時的退場這些都是要規劃重點還是要讓我們自己公司內的新進的同仁能夠承接上來部長您回應一下這三個具體的建議
transcript.whisperx[53].start 2819.082
transcript.whisperx[53].end 2841.543
transcript.whisperx[53].text 謝謝委員針對那個產學專班的一個指導這部分我們一定會繼續做因為這個不只是在補充人力跟地方這個合作的這一部分其實讓地方的機會更穩定這部分我們一定會做另外一個就是說國營事業自動化跟智慧化這是我們部長上來第一個要務要產業AI化那一定是以國營事業為優先那這個我跟
transcript.whisperx[54].start 2842.364
transcript.whisperx[54].end 2865.312
transcript.whisperx[54].text 委員報告我一定親自下來下來督導市長你就懶了這個工作了我一定會專案來跟我們報告我也很高興你來懶這個工作因為你你也這個工業局上來所以也因為這個有關我們高雄整個石化公安的問題這個我們一定會努力來做那另外一個就是那個聘委那個退休這部分我們目前也有在
transcript.whisperx[55].start 2865.792
transcript.whisperx[55].end 2866.572
transcript.whisperx[55].text 接下來我們請邱議員章偉請做詢談
transcript.whisperx[56].start 2904.269
transcript.whisperx[56].end 2931.545
transcript.whisperx[56].text 謝謝主席我是不是請一下連次長我們再請連次長次長早還是要先恭喜您從產發署署長高升變長賜我相信您未來的工作責任應該是更相對重大次長我想請教一下您在長賜的任內您會負責主要督導哪些業務單位
transcript.whisperx[57].start 2932.731
transcript.whisperx[57].end 2955.976
transcript.whisperx[57].text 我是負責油水、糖電還有那個還有那個能源署跟標準局所以國家的能源政策大概都是屬於您在督導屬於您在管是不是這樣那我就直接切入主題來我第一個想要請教可能台電王總經理也在來這個我們一直在講台電的虧損原本預計今年的虧損會到2124億
transcript.whisperx[58].start 2958.897
transcript.whisperx[58].end 2987.322
transcript.whisperx[58].text 那4月份我們調降電價之後你們台電的預估今年會多收了600億元對不對一直到年底會多收600億元再加上行政院的撥補1000億所以你的整個虧損會降到500億那台電你們現在也公布就是說燃料有下降中油已經調降了所謂的天然氣的這個採購的價格你們購買的成本也下降所以你們預估今年可以損益兩坪是這樣嗎
transcript.whisperx[59].start 2990.143
transcript.whisperx[59].end 3014.781
transcript.whisperx[59].text 政府如果可以撥補一千億的話政府撥補一千億你們是可以損益兩平你們的預估今年是可以損益兩平那這個就會我下一個問題就要請教了你們在講說今年會損益兩平的同時其實你們前幾天公布了一個就是說你現在我們要求有一些比如說農漁業社福團體學校或者是地區醫院
transcript.whisperx[60].start 3015.802
transcript.whisperx[60].end 3030.084
transcript.whisperx[60].text 要求希望電價動漲這件事情可是呢台電說你們不會再去做這一些優惠的處理回歸給各單位自行去編列預算嘛是不是這樣
transcript.whisperx[61].start 3031.753
transcript.whisperx[61].end 3050.518
transcript.whisperx[61].text 這個部分是兩個層次一個是台電對民眾的這個部分或者是一些弱勢農業會等等這個部分這個部分是不會改變的台電對他們的店家是不會改變而只是說台電在這方面的需要撥補的這部分我們是跟機關之間做處理而已
transcript.whisperx[62].start 3051.64
transcript.whisperx[62].end 3061.696
transcript.whisperx[62].text 總經理我覺得你還是要說明清楚因為我看到的新聞稿跟看到了你們的那個標題實在是不清楚你說對個人的部分比如說我現在直接舉例農漁業社福團體
transcript.whisperx[63].start 3064.767
transcript.whisperx[63].end 3065.748
transcript.whisperx[63].text 好這邊補充一下齁就是
transcript.whisperx[64].start 3084.906
transcript.whisperx[64].end 3085.747
transcript.whisperx[64].text 那各目的事業主管機關
transcript.whisperx[65].start 3109.769
transcript.whisperx[65].end 3136.349
transcript.whisperx[65].text 總經理你確定他們今年有編列這樣的預算嗎?還是說你這整個計畫是從明年才開始計算?因為現在大概各部會已經準備在編列明年的預算了嘛所以你們現在發這個文的意思你們在中央在行政院裡頭有沒有經過跨部會的整合協調然後各機關是不是確定從明年開始他們就會去編列所謂的減少優惠的這樣的一個預算編列?
transcript.whisperx[66].start 3138.041
transcript.whisperx[66].end 3151.29
transcript.whisperx[66].text 是的 這個部分是在中央有曾經協調過有這樣的一個決議所以我們是根據這個決議發文給各世界目的所以各個機關都知道比如說教育部也知道是的
transcript.whisperx[67].start 3152.145
transcript.whisperx[67].end 3152.345
transcript.whisperx[67].text 是的
transcript.whisperx[68].start 3175.444
transcript.whisperx[68].end 3201.648
transcript.whisperx[68].text 第二未來的這一些補助由各機關來自行編列預算我覺得這兩個重點其實前面只是前面那個重點啦就你要讓他們知道說他們的電價還是動漲不會因此而受到影響我覺得這個是一個很重要的關鍵前提否則現在新聞就寫說台電取消所有的這個優惠措施那你會造成大家的恐慌我覺得這件事情可能
transcript.whisperx[69].start 3202.768
transcript.whisperx[69].end 3226.075
transcript.whisperx[69].text 這個次長或者是台電你們還要必須要在對外說明更清楚好我們在對外說明再強化這一塊好來接下來我其實要講就是說電費這件事情我現在看到有一個民間的企業就是統一超商他們在6月21號開始推動所謂的凌晨3點到6點限時關燈的這樣的一個政策預估一年可以節省96萬度的電
transcript.whisperx[70].start 3228.64
transcript.whisperx[70].end 3234.151
transcript.whisperx[70].text 這個我覺得還是一個蠻不錯的一個政策方向請問一下經濟部有沒有
transcript.whisperx[71].start 3235.393
transcript.whisperx[71].end 3261.058
transcript.whisperx[71].text 有沒有這樣的意思比如說更加大幅的去推廣不必要的用電或者是說真的我們應該要大幅的鼓勵大家去採用節能設施節電設施我一直在想我們立法院的這個燈我們立法院的冷氣到底有沒有節電設施比如說我們現在會議在進行可是我們的門是一直開著外面30幾度那那個整個冷氣的運轉
transcript.whisperx[72].start 3263.559
transcript.whisperx[72].end 3291.268
transcript.whisperx[72].text 行政院的所有的行政機關到底有沒有裝置節能設施這些經濟部到底有沒有去盤點當然郭智慧部長講的這個東西是被斷章取義擷取一句話但是他重要的目的其實就是在告訴大家節能的重要性所以市長您說你督導這些油水、糖電、能源這件事情其實是大家很關注的
transcript.whisperx[73].start 3292.128
transcript.whisperx[73].end 3307.473
transcript.whisperx[73].text 到底你們經濟部有沒有去大肆的我簡單問啦行政單位有沒有有沒有去做比如說變頻冷氣的改設燈具等等這一些節電的設施你們到底做了多少這個針對那個政府機關喔不管在電燈或是冷氣這一塊
transcript.whisperx[74].start 3312.176
transcript.whisperx[74].end 3328.404
transcript.whisperx[74].text
transcript.whisperx[75].start 3329.644
transcript.whisperx[75].end 3342.026
transcript.whisperx[75].text 我們部長目前也在進行一個比較大的就是要推動X口這樣的一個動作那X口我們只要會把台電把那個後段班節能比較後段班的我們撈出來然後針對後段班節能比較不好的我們會灑下去整個全部灑下去我們有服務團來協助這些節能比較績效不好的我們來進行他協助他做節能另外在家電的補助部分其實這個節能我們都是
transcript.whisperx[76].start 3358.015
transcript.whisperx[76].end 3385.005
transcript.whisperx[76].text 你要補助的話你買的這個家電一定是要再節能多少以上的我們才做補助這個我們都知道啦我現在講的就是說節電除電新的一個能源概念其實這個我們已經談很久了那你如何讓社會大眾能夠去接受到一個這樣的一個新的能源轉變新的能源政策比如說這兩天的太陽光
transcript.whisperx[77].start 3386.032
transcript.whisperx[77].end 3413.848
transcript.whisperx[77].text 來臨。
transcript.whisperx[78].start 3414.528
transcript.whisperx[78].end 3415.228
transcript.whisperx[78].text 接下來我們請張祺凱委員請做詢答
transcript.whisperx[79].start 3440.796
transcript.whisperx[79].end 3443.317
transcript.whisperx[79].text 現在我在執行的同時對面的行政院門口正有17個團體
transcript.whisperx[80].start 3470.427
transcript.whisperx[80].end 3494.047
transcript.whisperx[80].text 在陳前抗議北中南都有喔他們在抗議什麼聯合反對賣電賣了電廠嚴厲我先練一段他們的宣言這團隊包括六千污染傷害聯合球場自救會雲林前海養殖協會南部反空污大聯盟台灣健康空氣行動聯盟17個團隊他們說賣了阿
transcript.whisperx[81].start 3498.789
transcript.whisperx[81].end 3498.809
transcript.whisperx[81].text 總經理
transcript.whisperx[82].start 3525.734
transcript.whisperx[82].end 3537.982
transcript.whisperx[82].text 我問一下,你知道全台灣第二大的污染源是哪裡?全台灣喔?第二大的污染源?不要聊,這邊的電廠蠻多的結果你五月應該一號機要關起來啊你進行這個污染源又繼續了
transcript.whisperx[83].start 3546.667
transcript.whisperx[83].end 3575.236
transcript.whisperx[83].text 我們再看下一張好不好,來,你再看一張環境部委公布了一個資料,他說我們的碳排不只沒有降,反而是增加的一個嚴重問題就是我們的煤還繼續在燒,他在說我們國家2020年總溫室的氣體排放量不只沒有達到2020年的2%管制的目標,裡面最重要是二百多個,溫室氣體的最大中心是二氧化碳
transcript.whisperx[84].start 3576.291
transcript.whisperx[84].end 3601.162
transcript.whisperx[84].text 排放量比2005年不只沒有降欸還增加了2.55%全台灣第二大污染源你繼續讓他繼續本來要停的5月底要停你不停你要繼續讓他燒然後連環境部都要提醒你了二氧化碳要繼續這樣排放下去嗎我們看下一張來我問你整個問題現在在對面的行政院的團體要求一個東西
transcript.whisperx[85].start 3605.168
transcript.whisperx[85].end 3615.546
transcript.whisperx[85].text 你的黑箱合約合約能不能公布你現在叫賣寮電廠的合約能不能公布給大家看
transcript.whisperx[86].start 3617.469
transcript.whisperx[86].end 3645.517
transcript.whisperx[86].text 跟委員報告齁其實整個商業行為必須要談誠信問題啦齁那整個合約的穩定性跟可預見性也必須要維持齁所以我這個合約是25年的合約那這25年的合約裡面這個電廠建置的那個固定成本必須要能夠讓他回收所以這個部分我們必須要照這個合約去做你白天去買電你去跟賣掉電廠買電用的是我們人民的納稅錢嘛你是國營事業嘛這本來就要公開嘛對不對
transcript.whisperx[87].start 3647.33
transcript.whisperx[87].end 3657.643
transcript.whisperx[87].text 對人民負責啊所以行立法院才會這樣要求你民脂民膏本來就是要公開嘛但是又關到人民的健康啊全民這麼關注啊這個合約為什麼不能公開
transcript.whisperx[88].start 3658.868
transcript.whisperx[88].end 3675.969
transcript.whisperx[88].text 可以公開嗎?這合約沒有,這合約有什麼見不得人的地方?有嗎?有任何見不得人的地方嗎?沒有見不得人的地方。所以讓公開唄?我們回去研究一下好不好?就這法的部分我們研究一下。不是啊,你有什麼見不得人的地方為什麼不能公開?你進行的就是5年對不對?你現在兇兇,你又演年華。
transcript.whisperx[89].start 3679.397
transcript.whisperx[89].end 3697.699
transcript.whisperx[89].text 到底怎麼定的?這裡面大家很清楚了嘛你時間就是到5月底1號機就在停啊那你記憶什麼理由?你現在講的理由就是說可能你的那個之前有些地方那個還沒有發電完成對不對?可是你合約裡面看的時間點就是5月底啊1號機在停啊那你該停的不停
transcript.whisperx[90].start 3698.78
transcript.whisperx[90].end 3728.035
transcript.whisperx[90].text 那你又不把合約公布啊人民就抗議啊是不是這樣因為這個是2015年的時候齁主管機關有做一個分媒深媒減量28個22%的這個部分啊這個部分牽涉到他麥寮電廠他的固定投資成本回收的這個部分所以我們在新的合約這一年半目的就是讓他把他所以你看到的是麥寮的問題有沒有看到人民的問題你繼續燒剛我剛剛可以看的是什麼第二大污染源
transcript.whisperx[91].start 3729.393
transcript.whisperx[91].end 3744.115
transcript.whisperx[91].text 連環境部都在提醒你了犧牲的是人民的健康跟生命喔兩權之間到底是人民比較重要還是賣寮電廠比較重要你可能要再想一下第一個我再問你所以你當時可以怎麼看定你合約能夠攤出來給全民全民看
transcript.whisperx[92].start 3744.554
transcript.whisperx[92].end 3771.245
transcript.whisperx[92].text 我們盡快回去研究以後再回覆你下午下班前給我答覆好不好現在人民跟團體還在那邊曬著大太陽在等你的答案好不好今天下班前我這樣進行好不好你不是回去研究嗎5點之前給我可以公開吧我們回去研究我這樣進行你要給我答覆OK第1個現在婚姻官他不是沒有通過燃煤的許可證明嗎
transcript.whisperx[93].start 3772.375
transcript.whisperx[93].end 3793.162
transcript.whisperx[93].text 他還沒通過 完整會都還沒通過 你怎麼可以就是延長合約呢 這沒有違法 你有辦法運作嗎這個部分完全在 必須在合法的狀況之下才 你就不合法了 你委員這個合法 是不是總經理 完整會不給你這個 不知道免許可證明 你怎麼可以去簽一個延長一年半 這違法欸 這台電是不是違法 欸經濟部
transcript.whisperx[94].start 3798.922
transcript.whisperx[94].end 3824.678
transcript.whisperx[94].text 市長沒有,台電不會違法做這個事沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有
transcript.whisperx[95].start 3825.373
transcript.whisperx[95].end 3828.918
transcript.whisperx[95].text 還沒違法還沒違法你就是違反這一條啊你就是違反這一條啊你就是違反這一條啊
transcript.whisperx[96].start 3842.432
transcript.whisperx[96].end 3845.894
transcript.whisperx[96].text 是現在還不是合法的合約嗎?應該是說他這個生美許可他必須自己去拿到
transcript.whisperx[97].start 3869.464
transcript.whisperx[97].end 3874.99
transcript.whisperx[97].text 所以賣寮電廠不要說未來或者是一年半他一輩子都沒有拿到婚姻關的這個燃煤許可證這個合約就無效了他不能燒喔是不是這樣
transcript.whisperx[98].start 3890.489
transcript.whisperx[98].end 3893.49
transcript.whisperx[98].text 這是我們國家政策啊!市府一定會怕喔!總經理應該都知道啊!我們的國家的政策
transcript.whisperx[99].start 3916.417
transcript.whisperx[99].end 3945.313
transcript.whisperx[99].text 就是要減少煤對不對?要轉型對不對?結果你去做了一個繼續燒煤的而且這麼嚴重的一個污染報告委員整體的煤的用量是一直在持續下降的喔持續下降啊今天這邊加一點沒關係喔所以賣了這邊增加沒有關係嗎?這不是矛盾嗎?整體是下降的齁整體下降我可以同意你整體下降那你為什麼那邊突然要高起來?這經濟不就又高起來嗎?
transcript.whisperx[100].start 3946.428
transcript.whisperx[100].end 3968.007
transcript.whisperx[100].text 好不好?再想一想我上個禮拜站在這個位置我問了郭部長我一直在講你不省電阿對不對?你搶到自己沒有缺電阿你又打自己的嘴巴這是你的政策欸國家的政策也是經濟部也是台電的政策你的燃煤燒煤是要減少的你自己打嘴巴你才讓賣料可以再增加
transcript.whisperx[101].start 3969.525
transcript.whisperx[101].end 3998.515
transcript.whisperx[101].text 所以我明確的要求了郭部長你若確定你自欺滿滿一直在講你沒有缺電你就不要去危害人民的健康危害人民的安全啊生命啊所以我就要求你說你若我沒有缺電的話你慢點去把他停掉喔我聽你不是這樣說他說回去好好看一下電這是兩件事啦因為我們必須讓合約執行是必須是穩定跟可預見性否則其他的IPP我採購的時候會有他們一些擔心說未來他的25年合約是不是會有問題那合約裡面有什麼重要的事情
transcript.whisperx[102].start 4000.276
transcript.whisperx[102].end 4025.693
transcript.whisperx[102].text 我剛剛就在提醒你合約裡面你看到的到底是賣寮的利益還是人民的利益人民這邊是健康跟安全哪一個重哪一個輕總經理跟經濟部次長還有經濟部要好好想這個問題好不好這是第一個問題那現在更嚴重什麼你一直在講合約合約你看到的是說這個以前沒有發電量還沒有發完你要讓他發完一般的人民看到是什麼你合約時間就這麼久啊
transcript.whisperx[103].start 4028.445
transcript.whisperx[103].end 4036.885
transcript.whisperx[103].text 裡面有發生了某些變動或者你說可能是憲政或人民說你不要燒那麼多煤你某些額度沒有達到可是最重要的是什麼?那合約裡面最重要的點是什麼?
transcript.whisperx[104].start 4038.032
transcript.whisperx[104].end 4039.373
transcript.whisperx[104].text 我再重複上個禮拜講的話
transcript.whisperx[105].start 4062.301
transcript.whisperx[105].end 4089.639
transcript.whisperx[105].text 我也問了郭部長你不要自己有衝突了你們自己在強調沒有缺電結果你又要去燒煤要去影響到傷害到人民的健康安全這是很大的問題好不好再想一下如果真的不缺電趕快去停下來第一個剛剛講的他本來縣政府就沒有合法給他燃煤的許可證他根本就沒辦法動啊這是一個所以這個合約目前看起來還不見得可以執行對不對第二天你今天下班進行五點進行
transcript.whisperx[106].start 4091.51
transcript.whisperx[106].end 4091.53
transcript.whisperx[106].text 好 謝謝
transcript.whisperx[107].start 4121.124
transcript.whisperx[107].end 4133.657
transcript.whisperx[107].text 接下來我們請張家俊委員請做詢談主席我想請這個連次長我們再請連次長
transcript.whisperx[108].start 4140.017
transcript.whisperx[108].end 4164.971
transcript.whisperx[108].text 市長這個和珊電力缺口不用擔心我們都有考慮進去就是這個是6月12號本席在經濟委員會質詢的時候你們部長所回答的當時部長說和珊停機的7%發電缺口未來預估就是加上AI每年3%用電成長的缺口都不用擔心真的不用擔心嗎你告訴我
transcript.whisperx[109].start 4165.95
transcript.whisperx[109].end 4174.877
transcript.whisperx[109].text 跟委員報告河山一號機如果除以的話它差不多有95萬千瓦那7月的話會有豐德3號加入有110萬9到時候會有大潭9號跟7號還有興達一號機上來那這個加起來有300萬總共有440幾萬那我先繼續問一下市長請問一下河山廠的一號機二號機總裝置容量是多少
transcript.whisperx[110].start 4192.517
transcript.whisperx[110].end 4193.539
transcript.whisperx[110].text 和三場一號機跟二號機都是95萬
transcript.whisperx[111].start 4196.613
transcript.whisperx[111].end 4200.254
transcript.whisperx[111].text 所以加起來加起來是1902MW所以過去這段期間來本席在問經濟部和安會要不要考慮和三廠研議本席也多次以國外為例國外的核電廠使用週期都是60年以上是常態但你們一直說不考慮一直說有準備次長你剛剛告訴我的說
transcript.whisperx[112].start 4224.523
transcript.whisperx[112].end 4226.184
transcript.whisperx[112].text 這個1900MW的缺口你們已經準備了但是你們準備的這幾個如果都能夠供應上的話為什麼還要賣了電廠
transcript.whisperx[113].start 4239.307
transcript.whisperx[113].end 4247.689
transcript.whisperx[113].text 跟委員報告河山廠的在7月27日下來之後我們是有豐德3號機會上來所以那個量是可以足夠cover的那為什麼還要賣電呢我覺得你們這些都是言不由衷敷衍的話我來幫你們說因為麥寮電廠的總發電量是多少123機各發電600MW總共1800MW是不是剛好cover你
transcript.whisperx[114].start 4268.135
transcript.whisperx[114].end 4268.195
transcript.whisperx[114].text 跟委員報告
transcript.whisperx[115].start 4289.292
transcript.whisperx[115].end 4295.794
transcript.whisperx[115].text 河山的部分只有1號機下來,所以是950...那2號機明年5月也要下來啦那我們還有另外的機組會上來哪什麼機組會上來我們先來看看,讓全國人民看一下拿賣電抵河山,台電要多花多少錢就是依照台電公佈4月的發電成本河南每一度電是1.12元
transcript.whisperx[116].start 4315.561
transcript.whisperx[116].end 4324.186
transcript.whisperx[116].text 五十五億度電只要六十一點六億元但是如果用麥寮發電麥寮燃煤發電的話立刻暴增到一百六十八點三億增加了一百零七億元你有沒有看 有看嗎這是你最新四月的
transcript.whisperx[117].start 4337.922
transcript.whisperx[117].end 4353.358
transcript.whisperx[117].text 對,報告委員最主要是因為河山下去是因為法規的規定我也想聽聽次長講,次長你知道這件事情除了多花107億之外還要犧牲雲林縣人的健康請問你清不清楚這個影響有多大我跟委員報告
transcript.whisperx[118].start 4358.479
transcript.whisperx[118].end 4359.02
transcript.whisperx[118].text 沒有沒有沒有沒有最後一次
transcript.whisperx[119].start 4374.451
transcript.whisperx[119].end 4379.555
transcript.whisperx[119].text 你們一直告訴我說這個河山停機跟麥寮延長發電是因為什麼都無關都是因為合約的問題但是現在其實賣電給燃氣的這個計畫已經在進行了到底台電有沒有計畫跟這個這個賣電來購買天然氣的發電呢
transcript.whisperx[120].start 4399.449
transcript.whisperx[120].end 4399.77
transcript.whisperx[120].text 現在麥寮天然氣的接收站環評都已經過了
transcript.whisperx[121].start 4411.147
transcript.whisperx[121].end 4415.371
transcript.whisperx[121].text 我們基本上大家都是反對火力發電的你不能夠說你這個用電缺口你核電的用電缺口要用火力發電拼命燒用我們雲林彰化這些百姓的肺來發電這是完全不合理的
transcript.whisperx[122].start 4430.724
transcript.whisperx[122].end 4433.785
transcript.whisperx[122].text 而且麥寮電廠當時也有對雲林縣人承諾說2025就不再燒煤你們應該好好研議怎麼樣加速讓核酸不用退役繼續研議而不是犧牲雲林人的健康而且呢
transcript.whisperx[123].start 4448.072
transcript.whisperx[123].end 4460.984
transcript.whisperx[123].text 中規一句話中規一句話這都是錯誤的能源政策所造成的放著一度電一塊的核能不要用去買昂貴的天然氣去用煤炭來發電市長我也知道你很無奈啊
transcript.whisperx[124].start 4465.12
transcript.whisperx[124].end 4468.243
transcript.whisperx[124].text 你也什麼都做不了不要說你了我相信連部長都做不了主因為整個國家的能源政策都被民進黨的意識形態所綁架說真話的人受到批評還要被要求說不要說話我們的國發會主委我們的經濟部長上任之初整個社會都期待他們能夠扭轉內閣對核能的偏見結果呢
transcript.whisperx[125].start 4492.085
transcript.whisperx[125].end 4506.781
transcript.whisperx[125].text 現在什麼都不敢說了當初說真話的人被民進黨批評變成被民進黨批評的對象國家的能源政策至此何其可悲受害的是國家受害的是全體人民啊你們同不同意
transcript.whisperx[126].start 4509.364
transcript.whisperx[126].end 4516.169
transcript.whisperx[126].text 報告委員 能源的政策的選擇是各個都有它的優點跟缺點 核能部分的安全你台電現在累積虧損多少錢你告訴我啊你現在台電今年會不會累積虧損 是不是有沒有5000億的可能
transcript.whisperx[127].start 4528.359
transcript.whisperx[127].end 4532.462
transcript.whisperx[127].text 你現在累積3800億3850億你現在告訴我說有什麼優缺點你知道3年來政府已經撥補了你們4000億你還累積3850億你告訴我什麼優缺點法律的問題要先解決所以所以我們要想辦法去解決而不是把這些把賣店拿來補充啊拿來填補這個缺口啊你現在告訴我合約合約
transcript.whisperx[128].start 4556.51
transcript.whisperx[128].end 4557.231
transcript.whisperx[128].text 我告訴你你好好面對你這些虧損之後要怎麼辦謝謝
transcript.whisperx[129].start 4585.155
transcript.whisperx[129].end 4592.279
transcript.whisperx[129].text 嚴肅的議題理性的討論謝謝我們接下來請鄭正前委員請做詢談
transcript.whisperx[130].start 4600.706
transcript.whisperx[130].end 4619.467
transcript.whisperx[130].text 謝謝主席我想請一下我們林次長還有我們中油的李董事長我們請以上兩位台電的王總經理然後台塘的楊董事長然後台水的李董事長台水李董事長請
transcript.whisperx[131].start 4621.601
transcript.whisperx[131].end 4646.352
transcript.whisperx[131].text 以上五位請就質詢台謝謝因為今天那個早有特別安排了經濟部面對國營事業未來10年能力嚴重斷層之因應作為所以就是我們四大國營事業的董事長和總經理都在現場所以我針對這部分的時候我想特別關心因為我看到我們整個
transcript.whisperx[132].start 4649.634
transcript.whisperx[132].end 4664.525
transcript.whisperx[132].text 經濟部提出來報告的時候我發現整體來說的時候台電這邊表示說他們113年起退休人數逐漸減緩以無落差過大之斷層所以台電就表示好像沒有什麼人力的一個問題
transcript.whisperx[133].start 4665.746
transcript.whisperx[133].end 4693.339
transcript.whisperx[133].text 那中油這邊也表示111年期退休人數趨緩已無明顯之斷層中油也沒有問題然後台糖這邊的時候表示114年期可逐漸脫離退休高峰期員工年資年齡偏高的情況都明顯獲得改善人力斷層壓力也逐年減輕台糖也沒有問題那台水這邊也表示近年來退休潮已有所趨緩就四大國營事業都表示這個人力沒有問題那我就感覺感覺很像我們今天這個經濟委員會
transcript.whisperx[134].start 4695.18
transcript.whisperx[134].end 4706.415
transcript.whisperx[134].text 安排這個經濟部面對國營事業未來10年人力嚴重斷層的因應作為好像是一個多餘的一個報告可是我想請教一下次長就是我們來看一下
transcript.whisperx[135].start 4708.876
transcript.whisperx[135].end 4732.791
transcript.whisperx[135].text 這幾年的一個退休人數屢創新高那我這邊就統計到111年那針對這個部分就是我想問就是四大國營事業公司我想問111年我這邊數字只有到111年我想問112年中游自願退休的人數有多少有多少借齡退休離職人數有多少
transcript.whisperx[136].start 4737.648
transcript.whisperx[136].end 4761.362
transcript.whisperx[136].text 請給我具體的數字好不好然後臺電也請準備然後臺糖臺水都請準備志願退休人數去年志願退休人數借齡退休人數還有離職人數跟委員報告那事實上中油公司去年去年整個退休跟離職人數總共是731位
transcript.whisperx[137].start 4764.224
transcript.whisperx[137].end 4764.244
transcript.whisperx[137].text 臺電這邊勒
transcript.whisperx[138].start 4793.139
transcript.whisperx[138].end 4807.482
transcript.whisperx[138].text 臺電數字請給我,自願退休有多少人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是954人臺電戒退的是95
transcript.whisperx[139].start 4822.244
transcript.whisperx[139].end 4822.904
transcript.whisperx[139].text 臺堂這邊請給我具體數字
transcript.whisperx[140].start 4851.058
transcript.whisperx[140].end 4877.065
transcript.whisperx[140].text 台塘的部分退休人數是162人那離職人數是40人加起來是202162你們可不可以分成自願退休跟借零退休?通常都是借零退休的台塘自願退休少對不對?那台水這邊請給我數字跟委員報告112年台水公司的退休人數是202人
transcript.whisperx[141].start 4879.773
transcript.whisperx[141].end 4896.464
transcript.whisperx[141].text 那志願退休是57人 戒退是145人OK志願退休多少人志願退休57人57人嘛OK然後志願戒停退休是145145離職人數離職人數是143人143人喔OK好謝謝那四位董事長總經理為什麼要特別問這個問題
transcript.whisperx[142].start 4906.611
transcript.whisperx[142].end 4930.807
transcript.whisperx[142].text 是因為我看到所有的這個部分我們看到整個借鈴退休的數字在111年當中的時候只有29.4%是借鈴退休表示有超過7成的人都是自願退休跟你們剛剛給我報的數字有一點點落差那每一年的情況都會改變我可以理解可是我為什麼要特別問這個事情因為
transcript.whisperx[143].start 4932.208
transcript.whisperx[143].end 4944.674
transcript.whisperx[143].text 市長我想問一下我們今年四大國營公司的時候準備要招考多少人中游1100人不是我說今年準備要招考多少人中游1100
transcript.whisperx[144].start 4954.895
transcript.whisperx[144].end 4963.282
transcript.whisperx[144].text 要招考1100人我看到在6月12日經濟部上網公告經濟部所屬事業單位113人招考總共只有826人欸中研就1100這是什麼狀態那個是職員職員的部分嘛你那部分包括臨時人員嗎包括技術人員
transcript.whisperx[145].start 4981.54
transcript.whisperx[145].end 5006.178
transcript.whisperx[145].text 那這個部分至少你到時候你整合所有的數字給我一下我們整合一個數字給委員長因為我想看一下我們四大國營公司的人力情況到底是如何因為我這邊看到一個情況就是我們今年要招考826名那目前還在找那我看到去年的數字的時候我們錄取率大概是10%左右而已可是我為什麼會特別要問自願退休跟
transcript.whisperx[146].start 5007.398
transcript.whisperx[146].end 5008.139
transcript.whisperx[146].text 所以我今天這邊請四位董事長總經理這邊上來的時候
transcript.whisperx[147].start 5036.781
transcript.whisperx[147].end 5049.255
transcript.whisperx[147].text 就特別提到我們國營事業如何留才的問題如何留才那如何留才這邊的時候呢我們看到的情況有點擔心像台水之前找了50個退休的人進來當顧問為什麼因為第一線的技術人員不夠
transcript.whisperx[148].start 5053.9
transcript.whisperx[148].end 5076.294
transcript.whisperx[148].text 你人找進來是不是技術人員能夠滿足第一線的要求看起來是有一些問題的那我們看到中油這體系當中在煉油廠當中的時候很多第一線的員工公眾環境並不是那麼好所以流動性高那我們希望國營事業有一個相當的穩定性所以本席在這邊的時候也特別希望次長這邊能夠
transcript.whisperx[149].start 5079.396
transcript.whisperx[149].end 5092.004
transcript.whisperx[149].text 來特別針對國營事業單位在數位化的能力能夠有所提高因為四大國營事業單位我們都認為他應該是有競爭力的可是我們看到了目前
transcript.whisperx[150].start 5093.939
transcript.whisperx[150].end 5112.952
transcript.whisperx[150].text 就是民間對於整個亞太行銷數位轉型聯盟協會他針對整個台灣各個產業跟政府部門的時候我們看到了國營事業單位政府部門我這邊我先不講可是國營事業單位在說的數位轉型當中能力是最差的
transcript.whisperx[151].start 5114.172
transcript.whisperx[151].end 5131.918
transcript.whisperx[151].text 所以現在台灣不斷在強調半導體跟AI的情況我希望國營事業單位能夠在這個腳步上面能夠跟上透過數位化、自動化跟AI化的一個狀態能夠讓我們的國營事業單位更具競爭力然後有更多的福利能夠給
transcript.whisperx[152].start 5134.079
transcript.whisperx[152].end 5134.899
transcript.whisperx[152].text 好 以上 謝謝
transcript.whisperx[153].start 5157.025
transcript.whisperx[153].end 5179.185
transcript.whisperx[153].text 我們也請國營會針對四大國營事業單位因為今天的主題本席特別要聽取他們四大的困難以及人力的缺口到底目前人力是夠不夠那麼每一年退休包括建林退休以及這個志願離職的當然趕快請他們做一個
transcript.whisperx[154].start 5181.747
transcript.whisperx[154].end 5182.908
transcript.whisperx[154].text 鄭天才委員請作詢答
transcript.whisperx[155].start 5209.529
transcript.whisperx[155].end 5231.119
transcript.whisperx[155].text 主席會委員有請次長我們再請連次長這個恭喜你這個在經濟部的首署的相關的工業局標檢局還有什麼國產發署都待過這個很適合
transcript.whisperx[156].start 5236.828
transcript.whisperx[156].end 5238.67
transcript.whisperx[156].text 當任常務次長
transcript.whisperx[157].start 5261.277
transcript.whisperx[157].end 5264.678
transcript.whisperx[157].text 國營事業延遲合理化管理作業規定多有一個這樣的一個機制希望能夠朝這個方向去
transcript.whisperx[158].start 5290.486
transcript.whisperx[158].end 5292.949
transcript.whisperx[158].text 經濟部首署4月103至112年曾面臨人力斷層的危機有三點分析
transcript.whisperx[159].start 5313.086
transcript.whisperx[159].end 5316.354
transcript.whisperx[159].text 那其中這個第二點60歲至65歲有一個原因當然要看這個
transcript.whisperx[160].start 5322.349
transcript.whisperx[160].end 5343.19
transcript.whisperx[160].text 台電、台水、台糖每個不太一樣的工作環境像台電它常常會爬上爬下還要上山所以這個部分也會有所不同但是這個也是會面臨我們未來
transcript.whisperx[161].start 5344.4
transcript.whisperx[161].end 5367.895
transcript.whisperx[161].text 未來還面臨這個少子女化的很多的問題所以這個部分都是要去怎麼樣去因應都要去多多的去看那我們看這個台電中友台糖台水這個年齡各年齡分布的情形來看的話
transcript.whisperx[162].start 5369.295
transcript.whisperx[162].end 5392.987
transcript.whisperx[162].text 我們就像我剛剛講的61到65歲台電就比例就相對的比較低了所以他自然他就算你這個勞基法改了他一樣要退啊因為這個工作比較吃重嘛要上上下下所以各方面他會有但是如果我們從這個
transcript.whisperx[163].start 5396.223
transcript.whisperx[163].end 5396.844
transcript.whisperx[163].text 臺電公司報告提到整個
transcript.whisperx[164].start 5424.852
transcript.whisperx[164].end 5432.211
transcript.whisperx[164].text 面臨所謂的中高年齡解剖老化問題然後經過你們的一個整個整個
transcript.whisperx[165].start 5434.311
transcript.whisperx[165].end 5459.274
transcript.whisperx[165].text 改善改進經濟的方案之後確實有比較好如果從台電工作性質比相對跟其他的4個商業公司的話來講基本上35歲到54歲中間人力接近5成這個部分當然因為這個是一個經驗也很重要
transcript.whisperx[166].start 5460.775
transcript.whisperx[166].end 5487.316
transcript.whisperx[166].text 所以這個部分是一個需要各個公司都要去談的部分然後我們看你未來10年員工退休的情形你們也做了一估這個部分怎麼樣就成我剛剛講的這個年輕人怎麼樣讓他能夠進來是一個途徑很重要的途徑當然另外一個途徑這個就是我的重點了
transcript.whisperx[167].start 5488.632
transcript.whisperx[167].end 5502.497
transcript.whisperx[167].text 另外一個途徑是原住民的禁用原住民的禁用我們看這個經濟部首屬事業機構這個新進職員原住民報考的人數我們從105年207人然後這個入企人數只有5個5位這個人數的比例很低一直到112年
transcript.whisperx[168].start 5517.693
transcript.whisperx[168].end 5535.808
transcript.whisperx[168].text 這個新晉執言爭試原住民報考人數287人競用只有8人所以這個比例真的是很低這個需要這個要請這個我們所有的這個臺臺電這個相關臺水臺糖
transcript.whisperx[169].start 5540.45
transcript.whisperx[169].end 5562.617
transcript.whisperx[169].text 包括各個事業機構海棠各方面都應該去我們就舉這個例子臺電臺電一直是我們原住民族一直很嚮往要去的一個國營事業但是如果我們從這個來原住民報考的人數這個105年是107人報考
transcript.whisperx[170].start 5569.57
transcript.whisperx[170].end 5586.883
transcript.whisperx[170].text 這個入企人數只有10個這個比例真的很低這個112年383人去報告這個有成長一些些因為這幾年我一直在請我們各個國營事業的那個去
transcript.whisperx[171].start 5588.837
transcript.whisperx[171].end 5588.977
transcript.whisperx[171].text 進行報告.
transcript.whisperx[172].start 5609.76
transcript.whisperx[172].end 5635.388
transcript.whisperx[172].text 一年就離開了,甚至半年就離開了那何不如讓我們在那邊長期的來去做這樣的一個工作機會台水公司也是一樣這個顏族民族禁用的人數的比例真的都是非常非常的低我們看這個台糖也是一樣這個無論是職研、公研、業股
transcript.whisperx[173].start 5636.792
transcript.whisperx[173].end 5639.595
transcript.whisperx[173].text 要請次長協助我們的各個公司來禁用原住民,可以嗎?
transcript.whisperx[174].start 5661.735
transcript.whisperx[174].end 5674.185
transcript.whisperx[174].text 好,我再來找我們四大國營事業公司來討論一下怎麼來多多敬略我們原住民的那個同胞這樣子好,謝謝好,謝謝接下來我們請李玉玲委員請做詢答謝謝主席,請連次長我們再請連次長
transcript.whisperx[175].start 5696.957
transcript.whisperx[175].end 5711.134
transcript.whisperx[175].text 委員好是謝謝林市長請教你的就是因為去年的4月12號大陸的商務部特別宣布了就是依據台灣對於大陸的貿易限制進行了貿易壁壘的這個調查
transcript.whisperx[176].start 5712.675
transcript.whisperx[176].end 5726.361
transcript.whisperx[176].text 的結果就是因為2002年的1月份我們加入了世貿的組織到現在我們對大陸的部分的產品採取了單方面的限制進口的措施所以在這種情況下大陸認為沒有必要再給我們臺灣單方面的這個讓利所以他們大陸的商務部調查的結果就是我們兩岸的確實有
transcript.whisperx[177].start 5735.845
transcript.whisperx[177].end 5758.131
transcript.whisperx[177].text 議員.
transcript.whisperx[178].start 5758.251
transcript.whisperx[178].end 5781.743
transcript.whisperx[178].text 在這一次我們賴清德總統上任之後我們並沒有看到兩岸的破冰的這個契機所以這個ECFA在這個清單裡面所有的我們的關稅減免上會不會影響到我們未來的話會完全的這個就是所有的這個在賴清德總統這個任內可不可能就完全歸零了
transcript.whisperx[179].start 5782.643
transcript.whisperx[179].end 5786.605
transcript.whisperx[179].text 根委員報告其實我們不做這種假設但是我們是用一個比較完整的一個分析就是說我們從去年開始在去年初的時候我們針對大陸有這樣的動作我們就把它假設說萬一它全部給我們取消的時候我們對產業我們要怎麼來協助它過過這個難關我們對產業尤其是傳產業因為大部分出口的部分的話都是屬於半導體的產品的電子零件的部分
transcript.whisperx[180].start 5811.46
transcript.whisperx[180].end 5838.446
transcript.whisperx[180].text 我們傳統產業雖然說在這個出口上大概只有佔了2%而已但是你要怎麼樣協助他們你有什麼規劃跟委員報告其實從去年開始我們就跟像鋼鐵機械自行車紡織還有石化等等我們就一個一個為他們量身訂做什麼量身訂做我們有跟他們量身訂做說萬一這個完全取消的時候我們要怎麼去脫離紅色公務員或怎麼去脫離對大陸的依賴
transcript.whisperx[181].start 5840.186
transcript.whisperx[181].end 5842.629
transcript.whisperx[181].text 市長其實最重要的這些產業他們自己都知道技術怎麼提升最重要的目標我們會開拓其他市場這一定的那其他市場的競爭力在哪裡就是
transcript.whisperx[182].start 5863.575
transcript.whisperx[182].end 5886.254
transcript.whisperx[182].text 對對對對對對對對對對對對對對對對對對對對對對
transcript.whisperx[183].start 5886.454
transcript.whisperx[183].end 5891.336
transcript.whisperx[183].text 比如說好他要到泰國那到泰國那個那一要落地的那一剎那我們去幫他協助他可以在那落地的時候怎麼去讓他進到那個市場這一部分我們去做一些協定也就是說現在我們的簽署FTA的這個國家目前只有8個那你是不是就是屬於區域的或是兩國的這種簽證的話簽約的話才能夠讓他們的關稅可以減低
transcript.whisperx[184].start 5913.625
transcript.whisperx[184].end 5931.161
transcript.whisperx[184].text 對關稅檢驗是這樣對對對對是不是這個我們也努力在做但是另外一部分是說還沒有在簽雙邊的FTA之外我們有另外一個方式來解決所以出口的關稅是非常重要你要幫他們找出路啊對是不是有有有好所以這個你必須要積極來做了因為我們有有有
transcript.whisperx[185].start 5932.142
transcript.whisperx[185].end 5953.234
transcript.whisperx[185].text ⋯⋯
transcript.whisperx[186].start 5953.655
transcript.whisperx[186].end 5963.567
transcript.whisperx[186].text 接下來本席想請問的是因為現在大陸已經提出了這個ECFA的這個取消之後的話那未來的話在國際上他就會認為說我們現在的話這個
transcript.whisperx[187].start 5968.834
transcript.whisperx[187].end 5969.714
transcript.whisperx[187].text 會不會碰到更多的阻礙呢?
transcript.whisperx[188].start 5985.202
transcript.whisperx[188].end 5985.842
transcript.whisperx[188].text 但是現在GPTPP是會員國製的嘛
transcript.whisperx[189].start 6002.549
transcript.whisperx[189].end 6014.479
transcript.whisperx[189].text 會員國資的話那有一個會員國不同意我們就進不去的阿是不是我不說大陸其他國家因為我們讓國際會有這個訊息認為說我們台灣有這個貿易壁壘的情形阿所以你還是要繼續努力嗎你這麼有自信你要繼續努力所以現在CPTPP的進駐的情況怎麼樣我們已經申請了那有進駐嗎
transcript.whisperx[190].start 6027.297
transcript.whisperx[190].end 6048.106
transcript.whisperx[190].text 這個是我們目前還在努力嘛所以會員國還是有阻礙嘛還沒全部的會員國都同意嘛所以這種現象你要小心的應對好好的規劃對大陸的多市出像一些產品上可以免有這麼多的限制這樣只要大家能夠互動的話貿易壁壘的情形就會減少了
transcript.whisperx[191].start 6049.727
transcript.whisperx[191].end 6057.632
transcript.whisperx[191].text 接下來我們想請問的就是國營事業的人力問題回到正題裡面現在國營事業跟公營的事業台電的話我們在針對這60歲到65歲因為60歲到65歲就要退休了在這5年情形或人力的缺口情形台電的大概有2613人中油有2818人還有台糖有616人
transcript.whisperx[192].start 6078.426
transcript.whisperx[192].end 6102.408
transcript.whisperx[192].text 臺水公司就有655人這樣統計下來未來的5年我們退休的缺口人力的缺口將近有6700人6700人本席要講的就是因為人力你們沒有補足都有缺口都有人力不足情況之下現在要考我們公營事業國營事業的人又減少那這種情形上人力不足你怎麼去做呢
transcript.whisperx[193].start 6104.346
transcript.whisperx[193].end 6127.716
transcript.whisperx[193].text 委員報告我們除了禁用那個因為我們也會聘用當地的一些約聘僱的所以這種禁用的會從原籍公籍還有約聘僱這幾個方向來禁用還有我們目前也在跟一些高職的學校鄰近的高職學校去做合作那如果他一畢業產業合作對產學合作我們四大公司都有在跟
transcript.whisperx[194].start 6128.556
transcript.whisperx[194].end 6129.62
transcript.whisperx[194].text 這不是根本的解決問題的方式啊
transcript.whisperx[195].start 6135.885
transcript.whisperx[195].end 6136.665
transcript.whisperx[195].text 你這個人力還是繼續有缺口啊
transcript.whisperx[196].start 6163.118
transcript.whisperx[196].end 6167.542
transcript.whisperx[196].text 您用產學合作不是根本的方法?不是說產學合作是其中一種方式主要還是從招聘這一邊問來一年差不多有八九百位會去招聘那剛才講那個巡檢人力我們目前還是會透過一些世衛科技來做協助補助那這部分我們台電已經
transcript.whisperx[197].start 6182.034
transcript.whisperx[197].end 6203.486
transcript.whisperx[197].text 針對那些優先順序已經在安排在做處理本席會這麼提就是因為我們人力不足你都靠其他地方來支援就從新北苗栗新竹那邊調人力來我們桃園支援現在你不足的看新北不足的人79人桃園不足有35人新竹是19人苗栗也15人都在不足的情況下調配來桃園的話
transcript.whisperx[198].start 6205.563
transcript.whisperx[198].end 6222.273
transcript.whisperx[198].text 那現在未來你的用什麼產業學合作沒有根本解決方法那尤其是現在在招考方面現在我們國營事業跟公營的事業招考的人數也是減少了所以你的招考的人數減少之後你提高了這個這個整個這個鑑別的這個門檻讓他們都能夠進來這樣子你的數值會不會變得更低啊
transcript.whisperx[199].start 6228.635
transcript.whisperx[199].end 6252.727
transcript.whisperx[199].text 是不是這樣子?跟委員報告齁,我們整體的用人數量一直在增加齁,就像前段時間台電大概是2萬6,然後一直增加到2萬7對,因為你的程式進步了嘛,所以用人會增加,但是招考,考來報考的人數是減少的,那你那個入取率又提高,那我們本期是擔心你未來的這個品質數值上跟你的鑑別度的話都會下降了
transcript.whisperx[200].start 6253.247
transcript.whisperx[200].end 6272.79
transcript.whisperx[200].text 所以我們在新進員工的薪水的部分也做得比較高你薪水調高了可是你的環境有沒有改善呢?你跟民間公司的話競爭民間的人才你很難因為民間公司整個環境都有改善那你本身公營事業都沒有要改善啊你調整薪水你的薪水比得上民間公司嗎?
transcript.whisperx[201].start 6273.671
transcript.whisperx[201].end 6300.373
transcript.whisperx[201].text 當然薪水沒辦法跟一些特別大的這個就是競爭的人力的問題但是在住宿條件方面我們都提供宿舍盡量滿足當地的整體的工作環境還是要獲得改善所以你要積極本席提醒你未來這5年你的缺口會更大所以你整體的不能靠產學了我聽到你講產學我就擔心了我們實質的技術人員人力人才才是最重要的好不好
transcript.whisperx[202].start 6302.418
transcript.whisperx[202].end 6315.708
transcript.whisperx[202].text 好 謝謝接下來我們請陳庭菲委員請做詢答在楊瓊怡委員詢答結束之後我們休息3分鐘人性管理謝謝謝謝主席我們是不是請我們的次長我們再請連次長
transcript.whisperx[203].start 6337.356
transcript.whisperx[203].end 6362.555
transcript.whisperx[203].text 市長我想有一個資料可能要請你要密切瞭解密切注意就是說我們有得到一個訊息就是最近中國聯通跟他的香港子公司一直有私下密集在接觸臺灣國際藍網通信股份有限公司
transcript.whisperx[204].start 6364.414
transcript.whisperx[204].end 6388.605
transcript.whisperx[204].text 那這一家有限公司呢我為什麼要特別來提出來因為我們去了解他大概有兩張我們的這個電信事業登記證明還有電路出租業務特許執照這兩個非常重要因為是特許因為這個次長你
transcript.whisperx[205].start 6390.197
transcript.whisperx[205].end 6416.885
transcript.whisperx[205].text 從我們過去的工業局然後在產發署這樣一路到現在所以你應該很清楚這兩張執照很重要吧是不是都是屬於特許喔都是特許的喔沒錯那這特許有什麼重要為什麼中國聯通還有他香港的子公司要接觸如果他被收購了嚴不嚴重
transcript.whisperx[206].start 6420.353
transcript.whisperx[206].end 6420.994
transcript.whisperx[206].text 但是除了數位部以外
transcript.whisperx[207].start 6436.636
transcript.whisperx[207].end 6451.428
transcript.whisperx[207].text 你們投審會如果說今天當然你要密切注意欸而且我再去吊了這一家台灣國際藍網通信股份有限公司齁
transcript.whisperx[208].start 6453.037
transcript.whisperx[208].end 6472.383
transcript.whisperx[208].text 這裡面我們看到他的公司簡介裡面公司的嚴格是2010年就結合兩岸電信營運商建立連接淡水到福州之兩岸直達海底光覽
transcript.whisperx[209].start 6475.533
transcript.whisperx[209].end 6504.825
transcript.whisperx[209].text 這他的嚴格裡面公司嚴格裡面就這麼寫了然後我們在整個特許執照也是給他另外我還看了他在裡面公司的優勢這他資料裡面網上都查得到的他的公司優勢中國聯通在台最佳戰略合作夥伴他大剌剌的
transcript.whisperx[210].start 6506.411
transcript.whisperx[210].end 6521.328
transcript.whisperx[210].text 他完全也不會隱晦也沒有隱瞞喔可是在我們整個電信特許的狀態之下這危不危險危險危險
transcript.whisperx[211].start 6526.615
transcript.whisperx[211].end 6550.263
transcript.whisperx[211].text 在整個我們的特許行業在電信特許行業當中結果這一家公司有可能是中國聯通極盡所能在接觸的然後他也非常直接在他網站當中就直接寫明了他是中國聯通在台最佳的戰略合作夥伴
transcript.whisperx[212].start 6553.667
transcript.whisperx[212].end 6576.181
transcript.whisperx[212].text 市長 這個要小心啊 這要注意啊 要調查清楚啊 要跟我們投審會瞭解另外一個要注意的 如果他是藉著我們台灣的企業 然後藉口呢
transcript.whisperx[213].start 6577.827
transcript.whisperx[213].end 6606.222
transcript.whisperx[213].text 有沒有可能這個一定會審查因為後面你那個資本出資的背景是什麼這個如果要進來台灣還是要經過可是他如果用台灣目前擁有的資本下去做一個收購甚至他的預算不用給那麼多嘛不用給那麼多嘛我先把你換下來先把你拿下來之後
transcript.whisperx[214].start 6607.745
transcript.whisperx[214].end 6634.22
transcript.whisperx[214].text 再去做後續的這有可能啊?是不是有可能?今天委員已經有提醒這件事如果我們有看到這有關聯性的時候我們會去注意這樣的一個關聯性我們會去注意所以如果台灣國際藍網通信股份有限公司今天要做任何的變更我們要小心要極度小心啊好不好今天我正式把這樣的問題然後
transcript.whisperx[215].start 6637.182
transcript.whisperx[215].end 6657.442
transcript.whisperx[215].text 跟我們的次長就教甚至把這個資訊給你因為中國聯通剛好在接觸然後他的網路上也寫得很清楚他是中國聯通在台最佳的戰略合作夥伴所以剛剛好嘛
transcript.whisperx[216].start 6659.198
transcript.whisperx[216].end 6683.289
transcript.whisperx[216].text 所以中國是不是會用榆木混珠的包裝方式然後甚至用港資或是台資來做收購該公司的股權來獲取台灣電信的牌照來統戰台灣這個要注意啊因為他這兩張特許牌是非常重要喔
transcript.whisperx[217].start 6684.935
transcript.whisperx[217].end 6690.285
transcript.whisperx[217].text 是非常重要喔這兩張特許牌就是中國聯通中國看中的喔
transcript.whisperx[218].start 6691.792
transcript.whisperx[218].end 6718.092
transcript.whisperx[218].text 所以如果今天他沒有用所謂的正常的管道程序而是用榆木混珠的利用台灣國際藍網同行股份有限公司本來就已經有這兩張特許執照了再用所謂的中資台資港資不管就是用榆木混珠的方式要企圖拿到你這兩張的特許權
transcript.whisperx[219].start 6720.76
transcript.whisperx[219].end 6740.509
transcript.whisperx[219].text 甚至去干涉到我們所有的通信系統這現在在發生了而且極度有可能已經在進行當中了所以拜託次長要跟我們的投審會甚至因為如果用我們的這個台灣的資本
transcript.whisperx[220].start 6743.902
transcript.whisperx[220].end 6759.179
transcript.whisperx[220].text 投診會看不到嗎?因為今天我剛才已經說今天委員已經提醒這件事情那因為他如果說他背後會有一些故事或是一些相關的那我們就用這種關聯性來注意這件事情
transcript.whisperx[221].start 6760.495
transcript.whisperx[221].end 6788.892
transcript.whisperx[221].text 一定要密切注意因為他這兩張的特許牌是非常非常重要的而且我再一次強調中國也就是看中了這兩張這兩張現在要拿很困難啦不這麼簡單啦他就是看中了這兩張看中了這兩張之後這一家公司也不會演的在他的網站當中說他就是中國聯通的最佳戰略夥伴
transcript.whisperx[222].start 6790.519
transcript.whisperx[222].end 6819.048
transcript.whisperx[222].text 這麼清楚的所以拜託我們的次長請我們的投審會要密切我們會請投審會密切注意這件事情然後我們希望在未來國營事業的部分你在招攬我們所有的一些人才的部分還有我們要如何招聘要如何規劃要如何讓我們在用人費的部分要怎麼能夠恰到好處
transcript.whisperx[223].start 6820.697
transcript.whisperx[223].end 6822.178
transcript.whisperx[223].text 國營事業要帶上來國營事業要帶上來沒有人才
transcript.whisperx[224].start 6837.059
transcript.whisperx[224].end 6837.379
transcript.whisperx[224].text 請楊瓊英召委諮詢
transcript.whisperx[225].start 6872.969
transcript.whisperx[225].end 6900.908
transcript.whisperx[225].text 謝謝主席首先請連次長跟國營會請國營會謝謝次長好我想首先請國營會來說明我們四大公司台水、台糖、台電、中油目前我們的人員各多少以及我們預計要退休的人員有多少
transcript.whisperx[226].start 6902.466
transcript.whisperx[226].end 6902.747
transcript.whisperx[226].text 這裏,這份就有了。
transcript.whisperx[227].start 6912.621
transcript.whisperx[227].end 6937.032
transcript.whisperx[227].text 跟委員報告好我們現在台電公司是到目前為止是兩萬九千三百九十五人然後中油公司是一萬六千八百四十四人台南公司是三千兩百零九人台水公司是五千七百七十九人預計不管是自用或者是建立退休這個是現在員工的總人數對那你預估到今年你會減少多少人
transcript.whisperx[228].start 6938.533
transcript.whisperx[228].end 6939.914
transcript.whisperx[228].text 主席這個時間要扣掉剛剛已經從頭到現在數字還搞不清楚
transcript.whisperx[229].start 6959.918
transcript.whisperx[229].end 6970.471
transcript.whisperx[229].text 市長你在這裡曾董事長以前也是次長你們都是管這四大公司我們真的國營會加油如果說連這樣的數字都講不出來
transcript.whisperx[230].start 6972.841
transcript.whisperx[230].end 6979.026
transcript.whisperx[230].text 這個是離譜至極請說明整個會議今年會退休是2640人我們預計可以進多少我們去年招考的人數去年招考人數今年會進來的那也是差不多就是2000多人差不多這個數字我們請四大公司的負責人請上
transcript.whisperx[231].start 7005.003
transcript.whisperx[231].end 7021.573
transcript.whisperx[231].text 四大公司我相信大家都知道你們的辛苦今天之所以排定這個議程也就是把問題提出我們到底要怎麼樣充足我們的人力而且穩定軍心因為現在全球都在搶人才
transcript.whisperx[232].start 7022.193
transcript.whisperx[232].end 7041.544
transcript.whisperx[232].text 國營會
transcript.whisperx[233].start 7042.447
transcript.whisperx[233].end 7055.508
transcript.whisperx[233].text 對,我們大概應該是這樣因為我們現在台中的資料還沒有出來了大概跟委員報告就是假設像今年預定退休2640人當中大概借零退休的大概一半
transcript.whisperx[234].start 7057.017
transcript.whisperx[234].end 7082.471
transcript.whisperx[234].text 那你說的是差一層多但是大家都認定國營事業單位是最榮耀的單位為什麼這個自願退休的近占一半左右原因是什麼好我們姑且待會再做討論我們把問題提出之後坊間也有說因為我要申請我要申請一個電表我至少要規劃三個月幾個月
transcript.whisperx[235].start 7083.672
transcript.whisperx[235].end 7083.792
transcript.whisperx[235].text 來 請教台電
transcript.whisperx[236].start 7109.035
transcript.whisperx[236].end 7123.188
transcript.whisperx[236].text 有沒有這個問題?人力不足以及在基層因為經驗斷層衝擊導致這個原因各位報告就是說這些相關的工作除了台電自己本身做也有一些委外
transcript.whisperx[237].start 7124.409
transcript.whisperx[237].end 7137.432
transcript.whisperx[237].text 那應該要這樣講就是整體來講臺電剛剛本席所提問的是不是我們的原因之一那個加接電表裝電表簡單主要是前來一個線會比較請針對問題回答我們今天是要提出問題解決問題這麼長的時間可能有零星的個案
transcript.whisperx[238].start 7147.196
transcript.whisperx[238].end 7163.102
transcript.whisperx[238].text 可能有,所以還是有。接下來其他的有沒有這個問題?台水有沒有這個問題?水公司目前是新裝工程的設計,現在我們人力都沒有什麼問題。因為這個技術上他們進來應該大概學習了3到6個月就應該可以上手。
transcript.whisperx[239].start 7170.205
transcript.whisperx[239].end 7194.364
transcript.whisperx[239].text 有新進人員大概半年內可以學習跟得上那本席在這邊跟國營會以及次長在這裡喔也就是這一些的人員我們退休之後新進補進來但是留人才才是重點早期我們有討論國營事業單位如果委外的太多你自己沒有訓練你的基本功那
transcript.whisperx[240].start 7195.124
transcript.whisperx[240].end 7218.319
transcript.whisperx[240].text 當然你會有斷層所以我仍舊這個原則也就是希望我們四大公司我知道在最基層是最辛苦的你們一定要想辦法去留人才出來那我也請你們四大公司將你們預計要怎麼樣留人才讓我們的人才可以充足穩定請素面資料給本席你們請回座接下來我要談論電的問題請做其他請回
transcript.whisperx[241].start 7222.902
transcript.whisperx[241].end 7229.451
transcript.whisperx[241].text 市長跟店請留住本期要請教我聽到了台電要取消動漲
transcript.whisperx[242].start 7231.308
transcript.whisperx[242].end 7254.042
transcript.whisperx[242].text 因為從蔡英文總統的時代我們將學校、農娛、社福甚至去年就擴大到這些的項目那據聞台電要宣布要取消是為了說我們的虧損太多如果取消這些我們可以節省42億對外這樣子的訊息是正確的嗎?
transcript.whisperx[243].start 7255.103
transcript.whisperx[243].end 7255.684
transcript.whisperx[243].text 委員講的那個不完全對啦請問
transcript.whisperx[244].start 7270.34
transcript.whisperx[244].end 7284.921
transcript.whisperx[244].text 台電要取消對農娛學校社福團體的電費動長改由各部會自行決定是否要編列預算來補貼 台電說可以省下台電42億 是不是
transcript.whisperx[245].start 7287.564
transcript.whisperx[245].end 7289.787
transcript.whisperx[245].text 台電目前是要取消這些動漲是不是?
transcript.whisperx[246].start 7307.501
transcript.whisperx[246].end 7324.735
transcript.whisperx[246].text 是由機關來編預算請問來享受這一些優惠的電價我請教連次長次長請教這是政策性的問題留台電來回答也不是當那由次長你來回答他不是取消他是說還是維持那個電價
transcript.whisperx[247].start 7328.558
transcript.whisperx[247].end 7331.401
transcript.whisperx[247].text 那請問次長您是經濟部長您正在就是說先取消動長然後再由各相關所屬部門去編列預算來補足動長的那個預算是不是這樣子
transcript.whisperx[248].start 7354.763
transcript.whisperx[248].end 7357.827
transcript.whisperx[248].text 會不會?教育部會編嗎?
transcript.whisperx[249].start 7372.099
transcript.whisperx[249].end 7391.93
transcript.whisperx[249].text 我們聽不到訊息欸我們希望要公開透明教育部會編嗎因為我告訴次長苦不能苦孩子欸這是蔡英文總統任內以及去年的時候所擴及的包括社府請問內政部會編嗎教育部會編嗎教育部長在教育委員會那邊已經有說他會去編他會去編喔內政部會不會編
transcript.whisperx[250].start 7401.194
transcript.whisperx[250].end 7428.172
transcript.whisperx[250].text 你們既然是行政院的指示那所以本期要請教因為再苦也不能苦孩子我想你認同這一句話吧再苦不能苦孩子你點頭你也認同喔這個叫市長習慣喔這個曾董事長也點頭再苦不能苦孩子所以你這個政策下去要由各部會去編我們要看現在正在編列明年度的預算會不會編足
transcript.whisperx[251].start 7430.894
transcript.whisperx[251].end 7445.928
transcript.whisperx[251].text 我可以這麼解讀嗎?動長之後取消動長之後由各部會去編都會編足這個額度是不是如此?因為只有在行政院有去做協調有共識這一部分我們會在行政院
transcript.whisperx[252].start 7446.769
transcript.whisperx[252].end 7451.133
transcript.whisperx[252].text 這邊我們會再來跟各部會再來督促這樣請行這邊來督促因為教育部已經剛剛在教育委員會那邊已經說他會編了我想其他部會因為既然是在行政院那邊協調出來的大家來教訓教訓
transcript.whisperx[253].start 7462.526
transcript.whisperx[253].end 7483.417
transcript.whisperx[253].text 所以市長也不需要我們台電一直背黑鍋嗎 對不對所以我一句話再苦不能苦孩子再苦不能苦弱勢的社團 對不對這大家的對這個共識所以我也希望這個政策我要請問行政院這樣拍本定案到底是台電決定行政院決定還是總統決定誰決定那這是在行政院開會決定的
transcript.whisperx[254].start 7489.728
transcript.whisperx[254].end 7503.292
transcript.whisperx[254].text 誰拍板定案的?因為這是蔡英文總統當時任內所做的決定那現在賴總統我們現在卓院長拍板定案誰提議啊?誰提議?是誰提議?經濟部提議嗎?台電提議嗎?誰提議的?大家要知道誰提議的請告訴我誰提議?
transcript.whisperx[255].start 7519.448
transcript.whisperx[255].end 7523.232
transcript.whisperx[255].text 提議是台電 經過行政院的跨部會決定 是不是要打臉蔡英文總統 是不是啊 因為他的政策你取消嘛 那我們不管你怎麼做 本席這當然是取消 動長取消
transcript.whisperx[256].start 7540.732
transcript.whisperx[256].end 7561
transcript.whisperx[256].text 改一個方式由各部會去編組所以我們要追請聽本席說所以我要追到底各部會會不會執行大委這個我們要追因為我要再次說明再苦也不能苦孩子再苦也不能苦弱勢團體這個認同吧市長這個認同喔
transcript.whisperx[257].start 7566.256
transcript.whisperx[257].end 7582.727
transcript.whisperx[257].text 對認同好最後一個議題我給你功課你來回答我要重申一下這個是那一些若是團體或是社會團體這個是沒有取消的齁我說它的電價又會是沒有取消的喔只是說要來請說明一下
transcript.whisperx[258].start 7583.647
transcript.whisperx[258].end 7593.715
transcript.whisperx[258].text 沒有取消棟長對 他還是棟長齁但是那一些增加出來的本來是由台電吸收那現在只是你現在叫內政部去編列嘛對對對對那你要叫好喔出錢的方式是換了另外一個方式而已各部會回歸各部會是不是對對對好 那各部會我們就看他有沒有編
transcript.whisperx[259].start 7605.304
transcript.whisperx[259].end 7619.425
transcript.whisperx[259].text 再苦不能苦孩子再苦不能苦弱勢團體我相信這個沒有政治話術大家全民一定都支持對不對最後一個議題我功課給你夏季的時候呢保證夏季倍容量
transcript.whisperx[260].start 7620.126
transcript.whisperx[260].end 7647.063
transcript.whisperx[260].text 不低於10%甚至7%517呢需量反映因為需要所以你買電買了一度12塊國部長在這邊都有回答所以我要請問因為夏季電量會增加那你們預估預估在夏季的時候會不會因為缺電所以你的備載容量不到你所說的10%再買12度的電會不會如此做
transcript.whisperx[261].start 7649.436
transcript.whisperx[261].end 7653.861
transcript.whisperx[261].text 來 台電董事長會不會如此做我們現在的準備就是要達到葉建峰7%這是我們在做的準備那所有的準備都是因為那個機組能夠正常運轉
transcript.whisperx[262].start 7664.594
transcript.whisperx[262].end 7667.957
transcript.whisperx[262].text 那如果有任何的狀況我們當然就會依照我們的調度的規則來做好 照預計規則你們現在有的一度12塊再下跌仍舊有可能委員你剛才所說的虛量反應他有很多種 我也跟您多次做過說明大家都內行的外公幾分十塊你有必要可以再增
transcript.whisperx[263].start 7685.851
transcript.whisperx[263].end 7705.762
transcript.whisperx[263].text 平均價格沒有到這一個水準當然你不要再給我雅雯爵士說數字的問題最高就可以買到12塊這個是國部長這個自己都說的有的我本期也不是跟你說你每一度都買到12本期問你你有可能你的機制裡頭有一度跟民間買到12塊對不對
transcript.whisperx[264].start 7707.483
transcript.whisperx[264].end 7708.203
transcript.whisperx[264].text 所以你們不斷也要S口
transcript.whisperx[265].start 7726.414
transcript.whisperx[265].end 7731.996
transcript.whisperx[265].text 不斷的ESCO的時候甚至有說從遠端冷氣需要的時候作為送風模式或者關閉給電費扣減節電每度10塊的回饋金這個政策據聞要7月1日開始執行是嗎?
transcript.whisperx[266].start 7743.404
transcript.whisperx[266].end 7747.208
transcript.whisperx[266].text 這個是我們看你們的網站喔這個是節電政策你講的S口也是一個是不是節電這個是我們網站上公告業務處的新的一個對所以是不是7月份要開始如此事辦沒有錯如此事辦嘛好也就是想辦法任何的S口我要一個結論
transcript.whisperx[267].start 7761.221
transcript.whisperx[267].end 7777.441
transcript.whisperx[267].text 如果不缺電為什麼會有這麼多的政策那沒關係我們也希望S口是全世界我們必須要推動的但是我仍舊需要有充足的電穩定的電綠能的電也就是乾淨的碳排的電對不對
transcript.whisperx[268].start 7779.096
transcript.whisperx[268].end 7808.419
transcript.whisperx[268].text 是不是?朝這個方向對不對?那個缺不缺電跟節電沒有關係本來你電充足你還是要節電啦節電對省你的成本省口袋的錢本時也說了ESCO都是大家全球要推動的都要推動但是你反推在缺電的時候你會買到一度12塊這是人民的納稅錢所以你深思你去討論好不好7月份就開始這麼做你的網站上面所公布的嘛你說要試辦嘛是不是
transcript.whisperx[269].start 7809.359
transcript.whisperx[269].end 7810.26
transcript.whisperx[269].text 我們現在先休息三分鐘
transcript.whisperx[270].start 7850.037
transcript.whisperx[270].end 7850.659
transcript.whisperx[270].text 委員會主席
transcript.whisperx[271].start 8071.704
transcript.whisperx[271].end 8072.245
transcript.whisperx[271].text 邱志偉委員請作詢答
transcript.whisperx[272].start 8097.509
transcript.whisperx[272].end 8118.334
transcript.whisperx[272].text 謝謝主席 請這個市長休息一下啊 休息一下台電李董事長 台電曾董事長 中油李董事長 台水李董事長 台糖楊董事長
transcript.whisperx[273].start 8121.946
transcript.whisperx[273].end 8137.253
transcript.whisperx[273].text 今天主要是討論國營事業人力的問題那當然國營事業受到經濟部相關的這個任務指示裡面也有內部經營管理的問題人事的權益問題我想請教所以董事長都在
transcript.whisperx[274].start 8139.361
transcript.whisperx[274].end 8167.831
transcript.whisperx[274].text 這個企業經營有內部的環境跟外部的環境內部的環境你會面臨到這個你的進環境的這個內部的強勢你的強項是哪裡你的弱項是哪裡外部經營環境你的這個機會是哪裡你的威脅是哪裡所以我想請教四位董事長你們針對目前在你們執政之下在你們這個主政之下市家國營企業的15萬的分析先從中游來好了
transcript.whisperx[275].start 8170.356
transcript.whisperx[275].end 8177.392
transcript.whisperx[275].text 內部,你們強項在哪裡?弱勢在哪裡?外部的機會在哪裡?他的威脅在哪裡?
transcript.whisperx[276].start 8181.298
transcript.whisperx[276].end 8208.885
transcript.whisperx[276].text 根文報告那當然中國公司身為國營事業因為相對穩定福利也比較好所以基本上這就是應該是國營事業的一個強項那落下當然如果落實相對的其實這個都還蠻相同那相對也因為國營事業所以有很多框架有很多這個滑頓面這一點是比較難一下民營企業那現階段面臨到外部經營環境的機會在哪裡
transcript.whisperx[277].start 8210.905
transcript.whisperx[277].end 8232.03
transcript.whisperx[277].text 那目前我以中油來講的話其實就是現在面臨全球淨零碳排的這個危機危就是機會嘛是危機也是轉機我想對於中油公司來講我們再往這悠遊減碳節能未來的這樣子一個轉型的方向來想我想這是非常好的機會那外部威脅其實
transcript.whisperx[278].start 8236.491
transcript.whisperx[278].end 8251.025
transcript.whisperx[278].text 我想這個都是相對的一樣剛剛講的這是一個機會那當然本身就是一個威脅嘛因為中油公司是能源事業是石化產業所以面對全球暖化氣候變遷我們是海嘯第一排
transcript.whisperx[279].start 8251.846
transcript.whisperx[279].end 8278.66
transcript.whisperx[279].text 我們是首當其衝所以針對SWAT你也很清楚嘛是強項要讓它更強,弱項要讓它變小是然後你的這個機會要讓它擴大你的這個威脅要讓它降低這是你作為一個董事長該有的責任對不對是是你作為一個董事長你現階段你作為國營事業那你需要經濟部給你協助的思想最目前在目前最迫切的最迫切的是什麼思想我想這一部分目前政治的問題是中油公司的政治的問題嗎
transcript.whisperx[280].start 8280.026
transcript.whisperx[280].end 8289.648
transcript.whisperx[280].text 當然幾個面那當然就是說人力資源的方面當然需要大部還有包括大燕共同協助嘛當然以現在來講我們的實際人是16800多位嘛844位那事實上我們的編制員是17000多還有大概1000多個一個缺口那多久時間可以補齊
transcript.whisperx[281].start 8304.392
transcript.whisperx[281].end 8321.555
transcript.whisperx[281].text 但是這個缺口可能在我7月16日一批退休 明年1月16日一批退休 缺口會擴大 也是就大概持平大概balance這樣一個狀況 所以這些聯視長都有聽到了就是他們的這個目前需要進一步協助的事項 這個回去要跟部長再報告一下
transcript.whisperx[282].start 8322.296
transcript.whisperx[282].end 8338.212
transcript.whisperx[282].text 那政治的問題需不需要經濟部協助?那當然就是說在未來的轉型很多往新能源的領域都需要大部跟大院來協助包括這個青龍方面的一個發展那包括短期以短期來講我們新市區已經在5月13號獲得這個中國市
transcript.whisperx[283].start 8341.707
transcript.whisperx[283].end 8343.868
transcript.whisperx[283].text 所以每家國營事業都有相同的問題
transcript.whisperx[284].start 8370.525
transcript.whisperx[284].end 8371.667
transcript.whisperx[284].text 謝謝李董事長謝謝鄭董事長台電鄭董事長一樣的問題請教鄭董事長
transcript.whisperx[285].start 8376.457
transcript.whisperx[285].end 8399.905
transcript.whisperx[285].text 內部的強勢跟弱勢外部的機會跟威脅剛才李董事長提到的臺電也都有一定的相當性最重要的大概是這樣子臺電主要是我們有工程人員還有機電類的人員跟現在國內最主要的產業其實在人才上是最高度重疊競爭的那這個部分我們其實也透過很多方式來解決
transcript.whisperx[286].start 8401.305
transcript.whisperx[286].end 8424.551
transcript.whisperx[286].text 首先第一件事我們包括今年條新我們都把那個比較就是讓新進同仁條的比例相對來講比較高我們坐在這邊的副總啊等等的幾乎就是只按照規定在跳我想說盡量增加提高新進人員的底薪和福利這個是重要的事另外一個就是說人才禁用上面其實國營會有幫了不少忙人事總處也幫我們忙
transcript.whisperx[287].start 8427.532
transcript.whisperx[287].end 8451.838
transcript.whisperx[287].text 就是讓我們在既有的人事法令裡面可以彈性的規範我們都運用但接下來在人才競爭上面我想大概還是兩個大事第一個就是我們在同類型的行業類別裡面的薪資在人才的競爭上面是不是能夠有一個比較合理的薪資第二個是人事金融的彈性希望能給我們彈性這是你們內部經營的問題你了解這個問題
transcript.whisperx[288].start 8454.199
transcript.whisperx[288].end 8472.106
transcript.whisperx[288].text 希望提出有效解決方案 外部有哪些有競爭的機會 還有哪些威脅其實就業務來講 其實最大的狀況就是 其實電力的需求是一直在成長的 就一個公司營運來講 你被需要其實是最大的機會
transcript.whisperx[289].start 8473.286
transcript.whisperx[289].end 8481.503
transcript.whisperx[289].text 那最大的挑戰也是同時在這個被需要的同時能夠充分的供應這是我們相對來講要去努力的
transcript.whisperx[290].start 8486.999
transcript.whisperx[290].end 8512.876
transcript.whisperx[290].text 我想現階段大概委員也清楚就行政院編了一千億的預算還沒有到位對 這個還帶審議那個已經送來立院了已經送來立法院現在就是還上帶大院審議我們要快速 立法院要加速審查因為立法院議程很多所以我們希望能夠有機會派上 謝謝我們大家一起努力盡快讓這一千億能夠通過好 那個台堂那個楊董事長一樣問題請教您
transcript.whisperx[291].start 8516.656
transcript.whisperx[291].end 8535.513
transcript.whisperx[291].text 謝謝委員大概基本上我們國營事業的內部問題大概都是差不多一個是同仁的一個是心態我是感覺我來台堂大概一年多我覺得是心態方面在內部方面大家要一個調整心態要怎麼調配心態他們是基本上是這樣國營事業當然有他的保障
transcript.whisperx[292].start 8539.036
transcript.whisperx[292].end 8565.381
transcript.whisperx[292].text 那一方面國營事業有類似公務員的一個保障但是以台糖來說在外部上面台糖的300多個品項全部都要跟外部做競爭跟油、電、水是不一樣所以我們台糖的同仁在這一方面基本上在這一方面也表現得相當的還可以表現在這個獲利方面
transcript.whisperx[293].start 8566.601
transcript.whisperx[293].end 8567.482
transcript.whisperx[293].text 那來自於外部的威脅有哪些呢?
transcript.whisperx[294].start 8589.08
transcript.whisperx[294].end 8610.181
transcript.whisperx[294].text 基本上啦就是我常說台糖在一二級產業做得非常好但是在外部上面我們就比不上所謂的第三級行銷方面在外部要跟大家做競爭一定要有一個行銷但是行銷需要編列的這個費用費用的話你投入的費用沒有產出一定的效能
transcript.whisperx[295].start 8611.118
transcript.whisperx[295].end 8612.278
transcript.whisperx[295].text 最後請台水理事長趕快問大家請稿
transcript.whisperx[296].start 8637.907
transcript.whisperx[296].end 8654.975
transcript.whisperx[296].text 謝謝委員指導,那開水公司大概我們也自己經常在做SWAT分析,那水公司的一些優勢最主要我們全省各個官網都有聯通在一起,可以相互做一些支援調度,那因為
transcript.whisperx[297].start 8656.235
transcript.whisperx[297].end 8682.808
transcript.whisperx[297].text 水公司我們有很多的專業就是水處理或是摘水工程的專業的人才在我們水公司因為畢竟是我們國內也是最大的一個摘水事業所以所以相關的我們有很多的廠商可以從而做利用那另外在類似的部分大概我們就是有一些管線比較老舊的問題可能大菸這邊也經常在關切
transcript.whisperx[298].start 8684.189
transcript.whisperx[298].end 8684.91
transcript.whisperx[298].text 另外我們也去討論AI智慧的這個區塊
transcript.whisperx[299].start 8711.19
transcript.whisperx[299].end 8727.331
transcript.whisperx[299].text 進步很快速或許我們可以導入一些的這些科技來加強我們的管理那我們也是注意到我們公司的一個體質就是最近可能也是極端氣候影響可能孤寒的議題或是說有一些停塞的議題
transcript.whisperx[300].start 8728.331
transcript.whisperx[300].end 8752.684
transcript.whisperx[300].text 市委董事長都在就是說如何把內部的這個所面對的環境把它這個優勢把它強化把它這個相對劣勢把它縮小把外部的機會把它擴大多元化這個威脅降低這是大家共同的責任那連市長你都聽到了市委董事長他們都有提出他們相關的看法那最後這個30秒我跟市長講就是說
transcript.whisperx[301].start 8755.265
transcript.whisperx[301].end 8775.794
transcript.whisperx[301].text 議員.
transcript.whisperx[302].start 8776.575
transcript.whisperx[302].end 8797.937
transcript.whisperx[302].text 這個一定有相關的原因出現 相關的造成這個原因是哪 是什麼原因 針對這個問題能夠提出解決方案 最起碼讓女性在職場 在國營事業特別是台電中油的職場能夠維持這個比較高的一個比例 可能有相關法律的限制讓他們這個比例沒有辦法提升 跟國際同業來比較
transcript.whisperx[303].start 8800.736
transcript.whisperx[303].end 8808.499
transcript.whisperx[303].text 應該是沒有法令限制這個啦 但是因為對理性應該是行業別的比例就比較低嘛 比法國比韓國 也是你們差5%
transcript.whisperx[304].start 8818.163
transcript.whisperx[304].end 8846.412
transcript.whisperx[304].text 我覺得國營事業是可以就不同的職系或職位我把這個問題點出來的但是你要尊重這個問題我再跟他們提高理性的員工比例也拜託四位董事長針對我今天所提的SWAT的問題是不是有個書面資料因為執行時間太短沒有辦法講得非常清楚是不是有個書面資料提供給我針對你們提出的SWAT的分析我們再來做一些討論
transcript.whisperx[305].start 8849.046
transcript.whisperx[305].end 8849.586
transcript.whisperx[305].text 陳昌明委員請做詢談
transcript.whisperx[306].start 8870.946
transcript.whisperx[306].end 8873.248
transcript.whisperx[306].text 首先有請我們的連常務次長 台電曾董事長
transcript.whisperx[307].start 8884.85
transcript.whisperx[307].end 8903.771
transcript.whisperx[307].text 首先孫董你現在是專任台電的董事長以前是政務次長現在我們新的常務次長上任了但是你在當政務次長的時候你也有答應我在一個後龍好望角那個關關地區
transcript.whisperx[308].start 8906.509
transcript.whisperx[308].end 8925.764
transcript.whisperx[308].text 所以要經個能演展示館你也親自會館了好幾次不過你現在沒有當政務次長當臺電的董事長我不曉得你有沒有交代入屋給我們新的政務次長還是常務次長這個到底還要沒有效啦不要淪亡正義我是相信你講話很有信仰的人
transcript.whisperx[309].start 8926.505
transcript.whisperx[309].end 8947.845
transcript.whisperx[309].text 那個跟委員報告就台電的部分負擔的費用這一塊我們都清清楚楚會執行那連次長基本上我相信次長接這個工作那個政務是延續性的你一定要趕快延續下去不要跟我拍拍屁股就走了齁我陪你跑了好幾趟啊要趕快去欸
transcript.whisperx[310].start 8948.706
transcript.whisperx[310].end 8949.647
transcript.whisperx[310].text 我今天問的就會比較輕鬆
transcript.whisperx[311].start 8968.447
transcript.whisperx[311].end 8986.589
transcript.whisperx[311].text 那整個你在當次長的時候還有台電董事長的時候你說你的台電是消波塊為了一直通貨的膨脹各方面所以很多都由台電來吸收但是最近有一個問題大家在討論
transcript.whisperx[312].start 8988.072
transcript.whisperx[312].end 9009.313
transcript.whisperx[312].text 而且幾天好像禮拜五的報紙出來說台電虧了一屁股的債現在包括我們的社福學校42億的電價要由各單位來負擔啊你的小破塊做到現在只有在這樣的情形之下你說
transcript.whisperx[313].start 9011.274
transcript.whisperx[313].end 9025.322
transcript.whisperx[313].text 那個1000億的補助下來調整電價9個月有600億所以還差500億今年但是啊天然氣這邊會協助你中油還有現在藍莓的採購價格今年會平衡
transcript.whisperx[314].start 9032.446
transcript.whisperx[314].end 9052.543
transcript.whisperx[314].text 那幾千億在那裡啊你這個42億你不要去說做一個台中的公路小破塊一下子就消失掉了你要去要把它取消掉我給你建議不然你去我們那邊聽你去台電那邊聽你落土的話你盡量就照那個家族
transcript.whisperx[315].start 9053.479
transcript.whisperx[315].end 9074.709
transcript.whisperx[315].text 那個月應該的現在調整價格 會六度的財政都比較困難 有分等級的 你又叫人來負擔這個學校社會團體 阿你孫政長院長當時在講的時候斑斑有冷氣 喔 講到跟我們那樣還想要去困亂 現在開始要愁眉苦臉了
transcript.whisperx[316].start 9075.709
transcript.whisperx[316].end 9092.263
transcript.whisperx[316].text 我感覺哈哈若是團體要看狀況來補貼不要一次的取消這個不然會引起民進黨執政選前一套選後一套一直那斑斑有冷氣斑斑有電腦到現在到這小風雨啊
transcript.whisperx[317].start 9093.204
transcript.whisperx[317].end 9120.419
transcript.whisperx[317].text 我為你們的政黨著想不要看囉我是以善意的提出來看你這個要怎麼改變應該是這樣講就是說事情是因為那個是在就是上電價調整前的一個討論會議上面做出來的一個決議狀況就是這個樣子就是電價維持一個幅度然後針對相對弱勢的要有一定程度的補貼這一件事
transcript.whisperx[318].start 9121.84
transcript.whisperx[318].end 9134.664
transcript.whisperx[318].text 政策沒有改變只是費用的部分由這些目的事業主管機構來辦中央的目的事業主管機構中央就全部付錢啦啊這個洞補這個洞都一樣的洞啊人家對台電覺得以前你們犧牲的形象現在以後沒有你就要給我經營啊我知道你在
transcript.whisperx[319].start 9151.07
transcript.whisperx[319].end 9153.171
transcript.whisperx[319].text 提醒什麼事情但我會把事情解釋
transcript.whisperx[320].start 9180.213
transcript.whisperx[320].end 9187.852
transcript.whisperx[320].text 可是現在其他坐在底下的3位委員都是六都的他六都有錢啊他土地的價格那麼高他們不會講話啦
transcript.whisperx[321].start 9189.557
transcript.whisperx[321].end 9215.73
transcript.whisperx[321].text 我很自信不會講話回六都了你不要以為票桌的地方你們在廠場照顧票桌的地方你就好啊去人手啊那不合理啦報告委員我們大概是這樣子齁就是說我們會把所有這些成本的一些還有您提到的一些關於對我立了中央編制預算全部補治六都的時候我跟你講他們錢太多他們都是被挖變工的挖只要賣吃一千瓶大概都夠了
transcript.whisperx[322].start 9216.75
transcript.whisperx[322].end 9244.892
transcript.whisperx[322].text 我們要賣資3萬瓶還不過來禮頓會阿絕不會這樣逼搞做事情有各種地區不一樣不要以為六都的你以為把他們弄好不講話一定會廢除非六都的話應該特別注意阿好好考慮一下好不好不然的時候我相信這個問題一定會持續下來原來這個政府選前就什麼答應都好選後什麼都沒有了
transcript.whisperx[323].start 9245.697
transcript.whisperx[323].end 9272.003
transcript.whisperx[323].text 好不好 感謝你一下謝謝 謝謝委員還有剛剛談到人事問題第一個所以這就顧啊剛剛出席委員有講到人事彈性你這個很重要你們銜接的期間你給三個未來訓練這個人給他熟悉狀況以後的意外就比較少人事總裁這個要特別注意到其實7月
transcript.whisperx[324].start 9273.325
transcript.whisperx[324].end 9300.868
transcript.whisperx[324].text 人的成本非常重要你這邊給他信任一下然後去銜接的話事情會安全掉這樣有道理嗎現在去做不是你們退了一個才進一個不能這樣做啦臺灣你曉得要退休的時候就要提早跟人事總裁人事行政是聯合的不要一板一眼這個是跳動的時代好不好
transcript.whisperx[325].start 9302.715
transcript.whisperx[325].end 9330.331
transcript.whisperx[325].text 再來我覺得臺電、中油、自來水還有茶糖都是很優秀的人才薪水有沒有把它提高現在都搶人才你不管臺電、中油進去的我都覺得很優秀以前留下來的產種包括自來水公司、包括臺糖那些以前比較善良的人沒辦法去留學都在臺電、中油那裡吃飯了自來水公司那時候還算穩定
transcript.whisperx[326].start 9331.793
transcript.whisperx[326].end 9358.274
transcript.whisperx[326].text 你現在大家都在搶人才啊我剛剛有講到AI的人才現在是世界都在我們台灣求人才只要稍微基本的話都會納入裡面啊因為我們台灣很偽詐把台灣的AI人才訓練完了以後都送給日本送給美國送給歐洲台灣還要每天去找人因為他們可以印美鈔可以自己印薪水特別高
transcript.whisperx[327].start 9359.985
transcript.whisperx[327].end 9360.165
transcript.whisperx[327].text 10萬多人
transcript.whisperx[328].start 9389.96
transcript.whisperx[328].end 9393.121
transcript.whisperx[328].text 好好這方面研究一下好不好
transcript.whisperx[329].start 9414.773
transcript.whisperx[329].end 9414.793
transcript.whisperx[329].text 好 謝謝
transcript.whisperx[330].start 9439.458
transcript.whisperx[330].end 9459.114
transcript.whisperx[330].text 謝謝陳常委員 謝謝那個剛剛董事長特別強調的1000億他已經送到委員會來這個是在財政委員會審議那這個是要撥補給台電公司跟剛剛陳委員所提的他們地方沒錢的沒電的跟這個是不相關的因為我們我給我們議會人士報告
transcript.whisperx[331].start 9461.556
transcript.whisperx[331].end 9479.508
transcript.whisperx[331].text 我們經濟委員會由此以來不分藍綠白我們都非常理性的在問政我也希望我們行政部門就委員所要提的跟剛才邱志偉委員所要的四大公司你們的這個SWAT的部分要請核實把資料給他們就證如早上這個
transcript.whisperx[332].start 9482.21
transcript.whisperx[332].end 9484.152
transcript.whisperx[332].text 接下來我們請賴瑞仁委員
transcript.whisperx[333].start 9510.916
transcript.whisperx[333].end 9511.477
transcript.whisperx[333].text 臺灣有沒有缺點?
transcript.whisperx[334].start 9526.287
transcript.whisperx[334].end 9549.822
transcript.whisperx[334].text 報告委員讓臺灣不缺電就是臺電的責任所以沒有缺電的問題部長有提到他為了要讓外界更加的清楚說7月份又公開相關的電力資訊我看到其實已經相當多的資訊公開不管是電力資訊包括用電曲線圖包括這個備轉容量率包括發電量都有了
transcript.whisperx[335].start 9550.282
transcript.whisperx[335].end 9550.943
transcript.whisperx[335].text 7月份還要公布什麼樣的數據?
transcript.whisperx[336].start 9556.936
transcript.whisperx[336].end 9579.256
transcript.whisperx[336].text 部長的意思是對下一個階段的預測就是對未來的預測所以7月份會公布8月份的預測數字那現在資料出來了嗎我們正在整理所以7月1日會如期的來上線來公布下一個月份的數字因為部長現在出訪我們希望能夠有機會回來跟他報告過把這事情確認下來
transcript.whisperx[337].start 9584.951
transcript.whisperx[337].end 9586.792
transcript.whisperx[337].text 7月份公布8月份的相關的用電的一些,所以等於電量的準備的狀況,隔一個月後的
transcript.whisperx[338].start 9603.4
transcript.whisperx[338].end 9614.488
transcript.whisperx[338].text 我看了一下這個昨天的資料啦齁其實用電量是3629萬千瓦那預估會到最高到4070但是當天最高的會到4629萬千瓦這個數字是正確的嘛對不對對就我們網站上的資料還是9點20的資料是所以從這樣來看的時候其實如果以
transcript.whisperx[339].start 9627.376
transcript.whisperx[339].end 9644.464
transcript.whisperx[339].text 例年最高大概是2022年7月22日4074萬千瓦的話其實我們的量還是多出了將近有600萬千瓦所以量其實是都有超前做一些準備的
transcript.whisperx[340].start 9644.884
transcript.whisperx[340].end 9661.114
transcript.whisperx[340].text 報告委員這是日間風啦齁你現在提的這個日間風的部分我們現在都在掉落上完全都沒有問題好那有的會比較擔憂因為日間的時候其實太陽光電是相當強的齁我看幾乎占到第三的占比第三啦齁燃氣最高
transcript.whisperx[341].start 9661.638
transcript.whisperx[341].end 9664.4
transcript.whisperx[341].text 我們現在葉尖峰的狀況基本上我們最少應該我們現在都有7%左右的那個被轉容量
transcript.whisperx[342].start 9678.87
transcript.whisperx[342].end 9705.505
transcript.whisperx[342].text 備轉容量力在7以上所以7以上的話基本上還是穩健的因為其實夜間封的時間跟過去日間封時間會比較長很長的時間那夜間封時間會比較短所以我們基本上就是備轉其實是因應基礎風險的問題那時間比較短我們在預估的量上面我們準備量就會不必準備的那麼多不用準備那麼多當然就比較不會有太多的一些消耗
transcript.whisperx[343].start 9706.466
transcript.whisperx[343].end 9726.443
transcript.whisperx[343].text 對,因為成本,那個倍轉容量是成本是,那我也看了一下齁,這個大概也預估啦齁,在因為7月份大概都是有可能是用電的高峰啦齁,氣溫也比較高,那但這幾天氣候相當的異常,溫度已經相當高,所以我看已經有的站到了全台的歷年的這個用電量第三名了齁,那當然下個月
transcript.whisperx[344].start 9727.163
transcript.whisperx[344].end 9751.609
transcript.whisperx[344].text 也有可能還會增加那我看你們的預估是會用到4,119萬千瓦這個大概就創下新高了那如果在這樣的狀況下的話我們用電還是沒有問題嗎跟委員報告日間風的部分我覺得那個大家不用天天都追他有沒有破紀錄因為今年可能夏天那個破紀錄就是比原來那個4074高的機會都會非常的大對
transcript.whisperx[345].start 9752.409
transcript.whisperx[345].end 9777.575
transcript.whisperx[345].text 好 那個是 這個沒有什麼 這不是對我們來講 不是那個意外但我要講的是電力上面的供應是沒有問題的嘛 對不對 是所以也請國人放心啦 台電這一塊跟經濟部有做萬全的一些準備因為日尖峰會一直有 會有新的紀錄出來 這個在今年度一定是常態對 特別是6月份已經開始有很多的開始在往上衝高 那7月份有可能還會再 是的 好 那
transcript.whisperx[346].start 9778.515
transcript.whisperx[346].end 9792.645
transcript.whisperx[346].text 所以大概到整個用電量看起來就是整個用電狀況是沒有問題的那我要講的是其實大家擔憂的未來的部分我也看了一下從今年的部分我們會除以大概是272萬千瓦但是我們會進來的會有新增的會有333萬千瓦
transcript.whisperx[347].start 9797.068
transcript.whisperx[347].end 9826.334
transcript.whisperx[347].text 包括到2025年一樣這個新增的都比除役的多2026新增的比除役的多2027新增的2028新增比除役的一樣都多大概100萬千瓦左右所以政府在這一塊其實也預做了準備現在我們不斷的講半導體產業的投資或者是講AI這些投資用電有可能會增加包括這個回台的投資不斷的增加但是這一塊電力都是做了準備我覺得這一塊董事長要不要再說明更清楚一點
transcript.whisperx[348].start 9827.094
transcript.whisperx[348].end 9852.447
transcript.whisperx[348].text 跟委員報告就是我們這一塊現在結出來的都是那個比較大型的基礎那目前還有再生能源還有等等一些基礎調度的一些做法那我想幾個事第一個事情是我們節電這個當然還是first fill這就對減碳都有很大的幫助其他的部分就是我們在台電在新基礎的建設上面這一段時間確實是高峰
transcript.whisperx[349].start 9853.928
transcript.whisperx[349].end 9870.738
transcript.whisperx[349].text 那也感謝各位委員的支持讓我們機組有更新的機會那我想說這個工作非常的重要我們要儘快的更新新的機組上來所以知道嗎不只今年沒有缺電問題在未來如果照這樣的規劃這還都是大型的機組嗎還有其他的在任人員都進來所以也沒有缺電的問題嗎
transcript.whisperx[350].start 9872.198
transcript.whisperx[350].end 9899.432
transcript.whisperx[350].text 我們現在有三個電廠在蓋新的機組有兩個電廠環評通過在招標那有兩個電廠的計畫現在在做可行性評估那要報怨來核准所以同步進行所有的整個電力建設那也包含電網在內所以都超前部署了不管是這個電廠的部分包括電網的韌性的部分都做了一些部署了嗎
transcript.whisperx[351].start 9900.313
transcript.whisperx[351].end 9908.102
transcript.whisperx[351].text 我們這個部分真的是因應電力的需要我們會提前來做更早的就是以台電過去的
transcript.whisperx[352].start 9909.552
transcript.whisperx[352].end 9911.874
transcript.whisperx[352].text 為什麼還是坊間很多不斷的在講缺電缺電的問題?曾董事長
transcript.whisperx[353].start 9939.956
transcript.whisperx[353].end 9944.291
transcript.whisperx[353].text 說明一下為什麼坊間還這麼多的講缺電造成人心惶惶
transcript.whisperx[354].start 9946.346
transcript.whisperx[354].end 9970.778
transcript.whisperx[354].text 跟委員報告就是說我想說這個部分我們會盡全力來說明那當然台電公司在供電穩定上面持續的努力來證明這件事可能是最重要的不過我們要穩定的供電也需要大家支持新的電力建設所以我們希望新的電力建設能夠得到支持
transcript.whisperx[355].start 9971.498
transcript.whisperx[355].end 9989.592
transcript.whisperx[355].text 必然你要用電但是如果不蓋新電廠甚至連變電所都不蓋的時候那電網應該都遇到問題如果沒有蓋新的變電所也沒有辦法拉電網其實很困難那尤其是報告委員我簡單說一下就是我們現在很多電箱人行道上的電箱過去都是因為纜線要地下化而產生的
transcript.whisperx[356].start 9992.634
transcript.whisperx[356].end 10020.775
transcript.whisperx[356].text 那這些電箱我們也常常被要求要移動位置啊等等的一些狀況我們會警力但是真的要拜託社會能夠支持電力設備因為我們現在需要這些電力設備我也希望有些比較老舊的設備的時候也要提早來更新不要再動不動就有時候發生一些這樣的狀況停電往往就很容易被渲染成好像缺電那我認為這個其實對於整個所有的辛苦的同仁都是不公平而且對台灣的整個投資環境對台灣整個民生都會受到一定的影響
transcript.whisperx[357].start 10021.513
transcript.whisperx[357].end 10046.12
transcript.whisperx[357].text 我想配電系統的加強我們會努力早上我有跟召委請了一個半小時的假也是在做這一件工作我想我們會加強努力不過還是要跟委員報告一件事電力設施的興建一定會在我們生活周邊因為電一定要送到你家所以這些電力設施的興建希望能夠得到社會更多的支持
transcript.whisperx[358].start 10046.34
transcript.whisperx[358].end 10063.779
transcript.whisperx[358].text 這一個我也在強調這個我們看一下今天早上這個數字北部的部分電力其實相對是比較需要由南部跟中部送上來的所以我還是希望這個台電還是要不斷去克服這個問題北部相對電力上是吃緊的
transcript.whisperx[359].start 10064.36
transcript.whisperx[359].end 10091.561
transcript.whisperx[359].text 來﹗
transcript.whisperx[360].start 10092.966
transcript.whisperx[360].end 10115.348
transcript.whisperx[360].text 這個部分我們一定會來做說明我舉個例子就好了協和電廠除役以後北部的這個用電它將近有600萬千瓦但是未來它可能有470萬的一個電力的一個缺口這樣的缺口的部分可能就是如果北部不找到這些電力來源的話全台灣當然不缺電但是中南部必須送電上來
transcript.whisperx[361].start 10116.108
transcript.whisperx[361].end 10141.072
transcript.whisperx[361].text 所以我認為這個事情還是要經濟部跟台電要審慎去思考電力用這樣的傳送其實不是一個好的方式除了耗損包括對於中南部也不見得是一個公平的方式我希望這一塊台電公司跟經濟部要審慎來做處理好不好最後再問一次啦董事長台灣有沒有缺電的問題我們會達成穩定供電的目標講得更清楚一點台灣有沒有缺電的問題就沒有缺電的問題我們會達成穩定供電的目標
transcript.whisperx[362].start 10151.278
transcript.whisperx[362].end 10174.705
transcript.whisperx[362].text 來我們請牛許廷委員請做詢答謝謝主席經濟部次長中油的總經理跟董事長有請好我們請三位謝謝市長午安這個
transcript.whisperx[363].start 10178.413
transcript.whisperx[363].end 10188.092
transcript.whisperx[363].text 今天談的是國營事業的人才斷層問題這本席認為這正本清源之道當然你旁邊兩位算正面典型這個我給新政府一個肯定為什麼你知道嗎
transcript.whisperx[364].start 10189.38
transcript.whisperx[364].end 10217.998
transcript.whisperx[364].text 你大概不太清楚因為大家都常常講說國營事業董事長等等常常淪於政府的酬庸的工具但你旁邊這兩位剛好就不是這樣兩位都是從中油基層出生比如從組長開始然後做到主任然後做到做到這個副總總經理然後再做董事長這是正確的我希望從經濟部開始不是只有中油其他的也應該是以內生為主你要鼓勵基層員工讓他們的生涯規劃可以爬到一個非常
transcript.whisperx[365].start 10218.638
transcript.whisperx[365].end 10218.738
transcript.whisperx[365].text 但是﹖
transcript.whisperx[366].start 10242.185
transcript.whisperx[366].end 10251.516
transcript.whisperx[366].text 但是人才問題歸人才問題我還是要問具體的問題這個最近本學選區出了件大事就我們桃園煉油廠國光電廠二期擴建計畫裡面辦理環評結果在調查過程中發現廠區裡面有5.5公頃的土地遭到重金屬的污染
transcript.whisperx[367].start 10261.027
transcript.whisperx[367].end 10288.524
transcript.whisperx[367].text 突然中芯、鎳、砷等重金屬嚴重超標石油、碳氫化合物也是嚴重超標舉個例子來說芯的濃度每公斤140014100毫克是標準值每公斤2000毫克的7倍石油、化合物等超標達到10.8倍根據中油調查污染的土地在廠區內那請問你們誰要回答都可以請問誰製造了這樣的污染
transcript.whisperx[368].start 10291.671
transcript.whisperx[368].end 10320.245
transcript.whisperx[368].text 委員跟委員報告事實上我想委員剛剛都把這個狀況都已經講出來了嘛那事實上我們去因為國光的這個電廠要設置我們要做營業的一個移轉必須要具備這些法規上土壤的一個檢測嘛檢測報告出來其實我們也是有點shark怎麼會有這樣子的一個剛剛委員提到的嘛包括新嘛包括內嘛包括生嘛包括TPH總是有碳水化合物等等
transcript.whisperx[369].start 10320.985
transcript.whisperx[369].end 10341.517
transcript.whisperx[369].text 所以我們後來去追去看齁因為雖然是5公頃多那事實上後來點的位置調查出來是8-3 11-12點狀的不連續狀沒有啦你回答我的問題就好了誰造成這個污染的嘛對那所以我們就去追嘛有可能最有可能就是說當時在12號這一塊地方因為在民國86年要蓋
transcript.whisperx[370].start 10343.638
transcript.whisperx[370].end 10344.239
transcript.whisperx[370].text 所以是不是煉油廠就是污染的源頭嗎?
transcript.whisperx[371].start 10358.653
transcript.whisperx[371].end 10385.338
transcript.whisperx[371].text 是嘛就簡單講就好了嘛這個喔本席作為龜山出生我以前是龜山做市議員然後現在一樣桃園第一選區的這個立法委員這是我選區的杯哥阿為了台灣的經濟發展我們捐出了土地犧牲了空氣品質當然為了成就這個國家能夠順利的往前走可是回報的結果卻是我的我家鄉的土地一而再再而三的受到重創這對地方來講不太公平吧董事長
transcript.whisperx[372].start 10386.218
transcript.whisperx[372].end 10388.119
transcript.whisperx[372].text 臺灣市政府6月29日通過了,我們現在下一步要做的就是水保計畫。
transcript.whisperx[373].start 10402.648
transcript.whisperx[373].end 10429.197
transcript.whisperx[373].text 我們希望水保計劃能夠趕快到國營展開政策董事長又把這話聽清楚來了既然啊前面捐出土地換來是這樣子一個悲劇的結果你要我繼續用這塊土地來貢獻你的發電啊這本行完全沒辦法接受這件事情才剛在地方開始發酵你想想看要是龜山的鄉親桃園的鄉親瞭解了這樣的事情之後他們巴不得我們前面都討論過煉油廠牽廠的問題我們都願意退步說退一步講說我們用務實的角度讓你給你時間讓你去做轉型
transcript.whisperx[374].start 10430.877
transcript.whisperx[374].end 10448.277
transcript.whisperx[374].text 可是你看看我們相信煉油廠相信政府的結果是什麼是我的土地持續的來受創啊是我的污染越來越多啊然後你現在講說我要在這裡蓋發電廠這本席完全沒辦法接受我選區裡面的鄉親也沒辦法接受本席是建議啦你這土地既然遭受污染富裕是一定要的
transcript.whisperx[375].start 10448.857
transcript.whisperx[375].end 10463.562
transcript.whisperx[375].text 復育完就復育完不要再想在這個地方再蓋電廠免得二次傷害三次傷害N次傷害這對我桃園對我龜山是絕對不公平的事希望經濟部也好中友也好針對這樣的決策再行討論這是第一個本期的主張
transcript.whisperx[376].start 10464.142
transcript.whisperx[376].end 10483.668
transcript.whisperx[376].text 第二個這我們也跟郭智慧部長其實已經約好了這會期一結束麻煩夏祥走一走瞭解一下周邊居民的心聲瞭解一下大家對於煉油廠存在的壓力跟無奈並且提出有效的改善的措施還給桃園人公平正義我想那是非常有必要的好不好好謝謝辛苦了好謝謝委員好謝謝
transcript.whisperx[377].start 10489.105
transcript.whisperx[377].end 10512.606
transcript.whisperx[377].text 市長在這裡因為四大公司我們都非常的希望就陳如中有一樣是由基層提拔上來這個等於我們要怎麼樣穩定人才他可以留住這是一個最大的一個鼓勵最大的鼓勵好謝謝請回座接下來我們請李博義委員李博義李博義委員我們請陳佩瑜委員
transcript.whisperx[378].start 10519.155
transcript.whisperx[378].end 10519.617
transcript.whisperx[378].text 謝謝主席 有請經濟部次長 謝謝我們再請連次長
transcript.whisperx[379].start 10529.429
transcript.whisperx[379].end 10547.72
transcript.whisperx[379].text 市長午安時間有限我就直接跟您討論了在關於國營事業的體育幹事納保這個議題呢從去年我們辦公室的10月總質詢到現在8個月了上一次經濟部長來的時候部長也說如果他在民間企業工作階段這些球員就是他的員工當然要納保那相關納保的問題其實應該不是你們說了算我們也問過勞動部勞動部說
transcript.whisperx[380].start 10552.162
transcript.whisperx[380].end 10571.293
transcript.whisperx[380].text 就目前的做法從來可能會有問題可是你們如果真心願意為這些體育幹事納保從來都不會是問題只有台電要不要做的問題那上一次質詢之後呢我們跟台電繼續討論台電給我們一個說法說這些體育幹事是練習生我們來跟次長看一下
transcript.whisperx[381].start 10572.321
transcript.whisperx[381].end 10598.543
transcript.whisperx[381].text 目前這張是男子棒球隊我們來看一下他的人數組成還有他的年紀19歲到25歲說這些是練習生再往下這個是女子籃球隊16歲到32歲一樣說他們是練習生再來男子足球隊18歲到30歲一樣繼續說他們是練習生次長您的社會工作經驗非常豐富你覺得按照這樣的年齡人數還有薪資這些人真的是所謂的高中生跟練習生嗎
transcript.whisperx[382].start 10602.133
transcript.whisperx[382].end 10606.376
transcript.whisperx[382].text 事實上呢如果要處理台電體育幹事投保的問題重點是經濟部部經濟部應該遏止國營司繼續自認是勞保的主管機關勞保的主管機關應該是勞動部對吧次長
transcript.whisperx[383].start 10626.248
transcript.whisperx[383].end 10653.437
transcript.whisperx[383].text 對可是呢到底怎麼解釋誰該投保誰不應該投保不應該讓經濟部的國營司跟台電來自行處理甚至國營司在跟我們辦公室討論的時候他還語帶威脅的說那不然就解散球隊啊不然就解聘選手啊這是我們國營事業該有的態度嗎賴清德總統在上任前提出要升格體育發展司而不那相關的體育產業政策落到經濟部卻是這個狀態次長您可以接受嗎
transcript.whisperx[384].start 10656.044
transcript.whisperx[384].end 10683.17
transcript.whisperx[384].text 我覺得這個應該要由勞動主管機關來做解釋是 謝謝次長您的回應非常正確應該勞動主管機關我們不會只有提出質疑我們提出了對策我們辦公室設置了相關運產發展條例的修正草案也就是根據勞動部的建議其實在人員聘用上你們可以不受到國營事業管理人管理法人員禁用的限制所以我們提出了這個草案如果按照次長您剛剛說法您支持嗎知道
transcript.whisperx[385].start 10683.61
transcript.whisperx[385].end 10684.81
transcript.whisperx[385].text 經濟部必須秉持政府保障選手權益精神,直接為這些體育幹事納保勞保
transcript.whisperx[386].start 10706.915
transcript.whisperx[386].end 10725.435
transcript.whisperx[386].text 甚至您剛剛說勞動部已經表示只要合約寫清楚就可以了沒有終身僱用的問題如果這次你們不能接受那中策我們來看支持我們班東市提的運動產業發展條例的修正讓國營事業球隊彈性用人法院這件事情並不會有台電之前一直說的他就變成終身人員這個問題了不會有這個問題下下策
transcript.whisperx[387].start 10729.349
transcript.whisperx[387].end 10754.418
transcript.whisperx[387].text 半年內如果還是沒有辦法解決相關問題必須要由經濟部主動申請勞動部協助進行勞檢確認勞動的樣態有沒有符合僱傭關係而不是讓台電片面解釋也就是說我們積極的提出問題我們也提出解放次長請問我們時間有限請問您的態度是這個我們待會去研究一下好不好好那我們辦公室也會再積極追蹤好謝謝次長謝謝主席謝謝謝謝
transcript.whisperx[388].start 10761.333
transcript.whisperx[388].end 10776.219
transcript.whisperx[388].text 謝謝 接下來我們請黃珊珊委員請做詢答謝謝主席 我想也請次長跟台電董事長我們再請次長跟曾董
transcript.whisperx[389].start 10783.292
transcript.whisperx[389].end 10796.458
transcript.whisperx[389].text 兩位好我想大家最近都是看到AI的風氣運用然後台灣也在這一波裡面可能會是將來非常重要的當紅炸子機那其實最重要的台灣有這樣的能量
transcript.whisperx[390].start 10797.022
transcript.whisperx[390].end 10816.408
transcript.whisperx[390].text
transcript.whisperx[391].start 10817.358
transcript.whisperx[391].end 10821.281
transcript.whisperx[391].text 對您來說我們現在包括設置相關的大廠我們都需要做環評對吧
transcript.whisperx[392].start 10843.715
transcript.whisperx[392].end 10848.82
transcript.whisperx[392].text 但我曾經質詢過環境部奇怪我們的環評裡面水要評估唯一不要評估的就是電有電力配置的環評機制有但是基本上都是台電
transcript.whisperx[393].start 10866.124
transcript.whisperx[393].end 10880.826
transcript.whisperx[393].text 不是他自己嗎?對以台灣的狀況來講現在都要台電部長你覺得次長還有董事長其實這些剛剛講企業有責任那我們是不是應該賦予企業相關的對於電力自己自有自足的責任
transcript.whisperx[394].start 10881.927
transcript.whisperx[394].end 10906.292
transcript.whisperx[394].text 否則我們現在是用全民撥補的方式來補助或者是讓這些企業他們可以在臺灣生產我的意思是說第一環評裡面要把企業的責任也加進去不單單只是台電的責任兩位同意嗎我跟委員報告我們是幫台電想辦法你不用負這麼大的責任
transcript.whisperx[395].start 10907.639
transcript.whisperx[395].end 10925.825
transcript.whisperx[395].text 那個委員我跟您報告一下現在其實在環評的過程我把實況我收一下實況沒關係我的意見就是說簡單來講就是科學園區環評現在都已經包括再生能量多少都寫死了其實都在框都在框科技業啦是因為現在他們其實是台灣的最大量尤其是台積電他4年成長了將近70%的用電但是我們台電的發電量其實成長了7.5%
transcript.whisperx[396].start 10935.968
transcript.whisperx[396].end 10956.794
transcript.whisperx[396].text 也就是他們占比台灣用電的比例會越來越高現在最大的會來的量能大概就是所謂的數據中心跟資訊中心全世界的大廠都要來台灣設資訊中心但是在能源管理法裡面我們有沒有對於這些數據中心資訊中心納入我們的相關的規定
transcript.whisperx[397].start 10957.762
transcript.whisperx[397].end 10964.645
transcript.whisperx[397].text 目前有嗎?但是資料中心不是製造業所以目前沒有在能源管理法裡面納管是嗎?要做了所以接下去其實我認為給企業相關的責任讓他們也負擔一部分的責任否則現在再生能源大家生產完賣給台電比較划算
transcript.whisperx[398].start 10982.054
transcript.whisperx[398].end 11002.319
transcript.whisperx[398].text 因為台電收購價很高所以大家做完之後沒有要做自己的事情但是反正賴著台電就好了所以我的意思是說在國外很多小區或者是很多的廠房他們可以自己發電自己自主多的才能賣出來但是我們現在是多的先賣給你你再提供給他他永遠是賺錢的
transcript.whisperx[399].start 11004.703
transcript.whisperx[399].end 11018.475
transcript.whisperx[399].text 臺電公司每年撥補不是辦法所以接下去是怎麼樣資產活化然後讓企業負擔相關的電力責任或者是將來有一天也許他們可能有各種不同的機組發電
transcript.whisperx[400].start 11019.881
transcript.whisperx[400].end 11041.978
transcript.whisperx[400].text 他們自己可以自己制度的情況下台電可以把這些權限讓企業自己負起責任我想未來的方向應該是這樣沒錯吧對法律也輕鬆好不好希望台電不要老是到立法院來挨罵我們希望他們你們變成是台灣電力配置的轉運站而不是單純負擔責任的唯一的
transcript.whisperx[401].start 11043.1
transcript.whisperx[401].end 11043.12
transcript.whisperx[401].text 好 謝謝
transcript.whisperx[402].start 11063.114
transcript.whisperx[402].end 11067.438
transcript.whisperx[402].text 數據中心我們上個禮拜國防會有來報告剛剛要運算中心他們我們現在規劃只有200
transcript.whisperx[403].start 11076.596
transcript.whisperx[403].end 11076.996
transcript.whisperx[403].text 的規劃如果是
transcript.whisperx[404].start 11100.114
transcript.whisperx[404].end 11100.614
transcript.whisperx[404].text 接下來我們請參議委員請做詢答
transcript.whisperx[405].start 11128.107
transcript.whisperx[405].end 11133.608
transcript.whisperx[405].text 謝謝主席那我們是不是有請這個蓮次長好我們再請蓮次長我也好次長那因為這個媒體有報導這個國營事業也出現人才荒那看這報導我一開始也不太相信我想國營事業應該是大家爭先恐後想要進來的
transcript.whisperx[406].start 11156.055
transcript.whisperx[406].end 11175.935
transcript.whisperx[406].text 那如果以這個表格來看我右邊這一個表格你看從90年到109年整個全國的公務人員這公務人員包括行政機關的以及國營事業的公務人員你可以看到傳統行政機關的公務人員是逐年增高
transcript.whisperx[407].start 11177.116
transcript.whisperx[407].end 11205.367
transcript.whisperx[407].text 從90年的時候21萬到109年的時候是25萬7千那相對國營事業的人數的比例從12萬現在降到了6萬也就是說這將近20年的時間國營事業的人數是減半這是砍了一半的一個人數那未來3到5年內還有所謂的一個退休的一個退休潮
transcript.whisperx[408].start 11206.067
transcript.whisperx[408].end 11212.068
transcript.whisperx[408].text 那如果這樣的話市長國營事業會出現這個人才荒嗎?
transcript.whisperx[409].start 11213.345
transcript.whisperx[409].end 11237.283
transcript.whisperx[409].text 跟委員報告我們已經注意到這個所以今天那個召委才安排了這樣的一個專案報告來提醒我們說要有相當的配套措施來解決這個問題那我們現在剛才委員講的這個應該是有的是民營化的問題齁那我們我們這個四大公司現在目前也針對今天召委所排的這個我們提出了一些相對的應對策那
transcript.whisperx[410].start 11238.284
transcript.whisperx[410].end 11265.202
transcript.whisperx[410].text 剛剛委員講的4年內要填補將近4900人那因為我們現在目前一年在招聘的差不多有1000出頭那應該是可以補足這樣的一個缺口所以未來的話你們還是一樣會用退役補一的方式來做這個這個人員的禁用當然一般是一個蘿蔔一個坑但是我們因為現在有這種缺口我們會稍微採取比較彈性的做法這樣比較彈性是怎樣
transcript.whisperx[411].start 11266.263
transcript.whisperx[411].end 11288.786
transcript.whisperx[411].text 所以說現在就有缺口了,所以可能現在就需要再補了對,要提前補,把未來的有一些要招進來好,那你們未來如果要再補的話,因為我事實上我們知道說很多國營事業,我們國營事業會經營很多面向那事實上很多面向的國營事業在經營上都不會有民營企業來得有競爭力
transcript.whisperx[412].start 11290.128
transcript.whisperx[412].end 11293.752
transcript.whisperx[412].text 那如果我們未來整個國家大概是朝向減碳然後要所謂的ESG那這個都是未來國營事業必須要
transcript.whisperx[413].start 11312.713
transcript.whisperx[413].end 11323.489
transcript.whisperx[413].text 領先就是說要做在民營去還要討錢那未來國營事業是不是應該要有更多的關於減碳的一個人才的一個徵用
transcript.whisperx[414].start 11326.694
transcript.whisperx[414].end 11354.315
transcript.whisperx[414].text 這部分我們部長有告訴你說不管在減碳或是在剛才講的AI的應用這一部分國營事業要帶頭來做我們目前已經規劃要開始進行像中油現在都在公安在環保很多部分都已經開始用比較成熟AI那個鑑別式的那個技術已經開始在做了有齁有有有在做所以你們都有在推動齁好那我是不是再請那個自來水這個董事長
transcript.whisperx[415].start 11355.489
transcript.whisperx[415].end 11369.887
transcript.whisperx[415].text 我們再請李董事長董事長我先前就有跟你談過事實上我們自來水
transcript.whisperx[416].start 11371.313
transcript.whisperx[416].end 11388.83
transcript.whisperx[416].text 不管是站在減碳的角度或者是在節水的角度我們要怎樣減少這個水的一個浪費這個很重要我相信你也知道事實上以現在大概整個這個水供會有漏水的比率最高在哪裡你知道嗎
transcript.whisperx[417].start 11390.067
transcript.whisperx[417].end 11408.915
transcript.whisperx[417].text 以我們公司內部現在的調查那漏水率最比較高的區域是在基隆跟屏東基隆跟屏東那如果以一個地區嘉義跟雲林的話是不是沿海跟平原比起來沿海的地方是漏水率比較高那為什麼會這樣
transcript.whisperx[418].start 11411.256
transcript.whisperx[418].end 11419.365
transcript.whisperx[418].text 因為沿海地區有一些腐蝕性的問題啦,鹽分比較高。鹽化嘛,鹽化就是一樣是鐵壓的東西嘛,沒辦法這麼強鹽化的一個結果,所以算鐵壓也是會有的嘛。對。所以現在
transcript.whisperx[419].start 11429.696
transcript.whisperx[419].end 11441.346
transcript.whisperx[419].text 自來水公司也有計畫說針對沿海地區避免它這樣的一個研化所以可能要換成高強度的HDPE的水管那你們這樣汰換的計畫目前進行到怎樣
transcript.whisperx[420].start 11446.511
transcript.whisperx[420].end 11471.067
transcript.whisperx[420].text 我們那個更換的管材的部分還是放在我們降低漏水率的整體計畫裡面那像嘉義武器處這邊我們每年給武器處分配的預算大概有七八億左右那我會請我們嘉義地區區處針對沿海地區漏水率比較高的管段優先把它汰換
transcript.whisperx[421].start 11473.138
transcript.whisperx[421].end 11494.211
transcript.whisperx[421].text 這個也要請教次長啦就針對這個漏水的這個問題嘛事實上先前也有討論過我們可能會直接用專案的方式然後來協助自來水公司然後讓他們有一筆比較大的預算然後在這幾年內用最快的速度解決漏水的問題因為我們現在知道說
transcript.whisperx[422].start 11496.115
transcript.whisperx[422].end 11513.082
transcript.whisperx[422].text 這個水真的是吼 這個得來不易啦 要不要再加多水吼 因為吼 這個水管的問題吼 水管的問題 然後讓它流失了就很可惜 所以到底我們這樣的一個專款的一個計畫 耐用專款然後來減少漏水的這件事情 有辦法來爭取嗎
transcript.whisperx[423].start 11514.534
transcript.whisperx[423].end 11528.057
transcript.whisperx[423].text 他們現在是提出800億要來請那個董事長是嗎?對啦,跟我們報告我們現在的降低漏水率計畫現階段是執行到113年那我們已經提報了114年到121年的8年的一個計畫總經費將近808億那這個計畫現在已經送給行政院來審議中
transcript.whisperx[424].start 11536.058
transcript.whisperx[424].end 11536.078
transcript.whisperx[424].text 好 謝謝
transcript.whisperx[425].start 11565.626
transcript.whisperx[425].end 11581.749
transcript.whisperx[425].text 接下來我們請葉元之委員請做詢答馬上請台電董事長謝謝好我們請曾董事長
transcript.whisperx[426].start 11590.642
transcript.whisperx[426].end 11607.951
transcript.whisperx[426].text 總統好,我們現在在我們新北市啊最近停電越來越嚴重了我們特別去看了資料五月份的時候新北市呢大概有39處有發生停電的事故那其中37次是跟潰線或是跟一些線路有關
transcript.whisperx[427].start 11609.008
transcript.whisperx[427].end 11637.951
transcript.whisperx[427].text 那6月份的時候更誇張了6月份近兩個禮拜停電已經28次就是兩個禮拜14天嘛28次平均一天就停電兩次那整個6月份大概有48次的停電那修復的時間有的也很長像5月份有一次在三重從停電到修復大概8個小時那6月份有一次是在新莊停電大概修復7個小時我不知道董事長你覺得這個是正常現象嗎
transcript.whisperx[428].start 11640.378
transcript.whisperx[428].end 11657.763
transcript.whisperx[428].text 委員如果你願意聽我可以花一點時間解釋但是我時間沒有很多簡單講就是都會區現在都被要求線路要地下化所以我們過去用電線桿在送電的現在都在埋到地下那後來因為在路上有這些人孔蓋我們又開始做路屏
transcript.whisperx[429].start 11658.763
transcript.whisperx[429].end 11685.056
transcript.whisperx[429].text 所以現在人口蓋有很多都下地就基本上被AC路面埋掉所以我們要找到這些人口蓋時間會稍微長一點那我們也在研究一些方法就是對於線路故障的偵測方式能不能夠有更好的方法來處理所以我們現在一方面要解決線路故障的問題那另外一方面就是修復的部分我們也就是說要儘快找到另外一個修復的部分我們如果在都會區的話
transcript.whisperx[430].start 11686.337
transcript.whisperx[430].end 11708.55
transcript.whisperx[430].text 要做交通維護等等這些相關工作的準備確實時間上面相對來講會壓力比較大我剛剛指出的是兩個問題啦你回答一個嘛就是說現在修復時間會花比較長嘛但是第二個我覺得現在停電的那個頻率啊也越來越高那我當然知道每一次台電都要講說不是缺電啦只是事故啦但對一般的小老百姓而言沒有電用就是停電
transcript.whisperx[431].start 11709.17
transcript.whisperx[431].end 11728.935
transcript.whisperx[431].text 他不會管你說是缺電還是說什麼發生故障只要台電沒有把那些輸配線系統把它處理好對小白海星就是沒有電用就是很不方便所以我希望說台電可以面對現實啦我們現在確實是停電的狀況是越來越頻繁越來越嚴重那台電不是之前有編一筆預算是做韌性電網的嗎這編多少錢
transcript.whisperx[432].start 11730.615
transcript.whisperx[432].end 11733.539
transcript.whisperx[432].text 主要是輸電陷入還是比較大型的高壓供電那您關心這個問題我也做一個說明我們現在看到是今年度1到3月停電的次數是下降的
transcript.whisperx[433].start 11745.836
transcript.whisperx[433].end 11751.86
transcript.whisperx[433].text 我剛舉的數字6月份在我們新北市近兩個禮拜就28次今年1到3月都還下降4月5月跟5月是上升6月我們現在還在做後面的統計6月的那個成長幅度沒有像4、5月那麼高
transcript.whisperx[434].start 11763.829
transcript.whisperx[434].end 11791.957
transcript.whisperx[434].text 我們現在看到具體的狀況是你現在不能夠比爛嗎你現在講的我現在講的具體你只要一次發生停電大家就非常不方便我們是要讓停電的減少發生不是說好像我已經比之前好了我覺得心態上不是這樣啦我現在跟您分析說問題是什麼不用分析啦我跟你講你永遠都是在講藉口我們現在是希望你解決問題當然以你在台電待這麼久你要掰一些理由出來當然很容易啊但是對小老百姓來講就是沒有電可以用嘛
transcript.whisperx[435].start 11792.637
transcript.whisperx[435].end 11815.316
transcript.whisperx[435].text 我現在是希望你可以解決問題委員我就是要回答你問題出在哪裡怎麼解決問題是已經持續發生好幾年阿幾年前的時候你們都說推給小動物阿小動物出來背鍋也好幾年了阿那為什麼這幾年都沒有辦法把問題解決呢過去這幾年其實是配電系統的跳電事故是在下降沒有我
transcript.whisperx[436].start 11816.437
transcript.whisperx[436].end 11830.553
transcript.whisperx[436].text 你一直在跟我講這個我舉的就是具體的數字具體的數字就是之前兩個禮拜在我們新北市停電就是28次平均一天就停電兩次這就是最實在的數字啊
transcript.whisperx[437].start 11832.42
transcript.whisperx[437].end 11857.111
transcript.whisperx[437].text 對沒錯那你現在我先把問題告訴你然後你現在給我的態度是這樣代表說下一次可能一天兩次停電也沒有什麼大不了的啊因為你台電態度就是這樣啊你現在一直在跟我講說這個很正常這是正常狀態所以呢預告應該是市民要去習慣以後就是一天可能在新北市就是平均就兩天跳電大家習慣就好是這個意思嗎
transcript.whisperx[438].start 11859.568
transcript.whisperx[438].end 11884.248
transcript.whisperx[438].text 委員我還是要再說就是說全世界我們可以來參照這工作是怎麼樣子進行那如果您的標準是永遠都不會跳電這個我們也會來考慮不是永遠不會跳電是你的頻率越來越高希望你可以去瞭解把這問題解決那如果說董事長你的態度一直是說這正常啊跳電正常啊民眾沒有電用也沒差反正我們董事長有的做就好啊
transcript.whisperx[439].start 11888.592
transcript.whisperx[439].end 11890.573
transcript.whisperx[439].text 委員你不可以把我沒有講的話加在我嘴裡我沒有這樣子講因為你剛剛從到尾都不覺得我沒有聽到你講一句話說你要去解決
transcript.whisperx[440].start 11908.283
transcript.whisperx[440].end 11908.784
transcript.whisperx[440].text 好 敬禮委員 知委員
transcript.whisperx[441].start 11930.997
transcript.whisperx[441].end 11933.138
transcript.whisperx[441].text 請先敬禮 謝謝
transcript.whisperx[442].start 11960.871
transcript.whisperx[442].end 11961.031
transcript.whisperx[442].text 國營事業能力斷層
transcript.whisperx[443].start 11978.052
transcript.whisperx[443].end 11989.384
transcript.whisperx[443].text 那我帶立法院都在一直倡議壯世代所以我今天來特別趕來給你提一個解方希望你聽得下去
transcript.whisperx[444].start 11994.128
transcript.whisperx[444].end 12014.856
transcript.whisperx[444].text 從這個曲線當中看到這3年來從2020年到2023年我們的工作增加了108萬人工作量很多但是因為少子化所以這個求財大家搶人才搶得越來越困難
transcript.whisperx[445].start 12016.766
transcript.whisperx[445].end 12034.737
transcript.whisperx[445].text 我們從這頁看,國營事業也是一樣因為現在以前是金飯完、銀飯完、鐵飯完、銅飯完但是這些保障越來越少,福利也那個所以你看我們的錄取率從2010年來台電從4%增加到13%
transcript.whisperx[446].start 12042.022
transcript.whisperx[446].end 12042.462
transcript.whisperx[446].text 我們看到現在民間的
transcript.whisperx[447].start 12059.275
transcript.whisperx[447].end 12059.295
transcript.whisperx[447].text 市長
transcript.whisperx[448].start 12077.674
transcript.whisperx[448].end 12077.814
transcript.whisperx[448].text OK 看起來
transcript.whisperx[449].start 12105.769
transcript.whisperx[449].end 12106.069
transcript.whisperx[449].text 好,所以呢
transcript.whisperx[450].start 12126.175
transcript.whisperx[450].end 12149.897
transcript.whisperx[450].text 這一方面年輕人才很困難所以我也告訴我們應該要從高齡的人才那過去我們從這個表當中我也覺得我們現在用人單位都還是挺有在1970年代把主要的勞動人口放在下方年輕人口就這個金字塔的下方但是台灣已經進入到2040年
transcript.whisperx[451].start 12152.449
transcript.whisperx[451].end 12179.556
transcript.whisperx[451].text 主力在高層的人口所以要往這一方面那個要政策要大大的調整你不是一直想最近有一個台鐵的錄取一個員工64歲考上10%照常考試錄取的結果錄取你幾天就開始要準備退休因為65歲要退休所以呢相關的這一些也是很荒謬的事情
transcript.whisperx[452].start 12180.456
transcript.whisperx[452].end 12199.81
transcript.whisperx[452].text 所以這裡也看到事實上這個我在談的高齡壯世代不是我們特別是人力單位其實有研究報告他的策略跟創意事實上達到人生的最高峰在60到80歲之間不是你想像的是我們沒有好好的去挖掘他的人力
transcript.whisperx[453].start 12201.01
transcript.whisperx[453].end 12225.064
transcript.whisperx[453].text 所以國營事業好好地研究因為你們用了龐大的人力所以我最近在推動勞基法54條目前要送到二讀這個改了一個54條本來是65歲退休以後要改成如果勞工有工作意願得經僱主及勞工雙方協議延長之
transcript.whisperx[454].start 12227.145
transcript.whisperx[454].end 12245.128
transcript.whisperx[454].text 所以國營事業是不是率先來想應對於這一方面的工作所以最後是不是可以請經濟部可否承諾針對國營事業善用中央世代55家豐富的人力資源可不可以在兩個月之內提出中央世代人力的運用計畫
transcript.whisperx[455].start 12246.51
transcript.whisperx[455].end 12246.53
transcript.whisperx[455].text 謝謝市長謝謝
transcript.whisperx[456].start 12277.867
transcript.whisperx[456].end 12291.095
transcript.whisperx[456].text 接下來我們請陳冠廷委員陳冠廷委員陳冠廷委員不在現場我們請林德福委員林德福林德福委員不在現場我們請林思敏委員林思敏林思敏委員不在現場我們請蘇清泉委員蘇清泉蘇清泉委員不在現場我們請伍麗華伍麗華委員伍麗華不在現場我們請鍾嘉斌委員請做詢談
transcript.whisperx[457].start 12305.41
transcript.whisperx[457].end 12316.941
transcript.whisperx[457].text 主席、在場的委員先進、列席的政府機關首長官員、會長工作夥伴、媒體資深女士先生、有請經濟部連次長和台電曾董事長。好,請以上兩位。
transcript.whisperx[458].start 12323.788
transcript.whisperx[458].end 12338.318
transcript.whisperx[458].text 市長好 董事長好 在不久前我們郭部長做了一個描述很傳神說台積電的良率市長有沒有聽過他說台積電的良率像增1000個小籠包950個都完整沒有破皮的你有聽到嗎
transcript.whisperx[459].start 12339.798
transcript.whisperx[459].end 12361.871
transcript.whisperx[459].text 有齁?那你覺得台積電的良率多少?95.5%是不是?他有的應該更高有的更高不良的大概只有0.5%那同樣的台電的用戶有多少戶你知道嗎?董事長知道嗎?超過1500萬1500萬戶用這個良率用這個良率我們每天要維持多少戶以上的不斷電才算是優良1500萬
transcript.whisperx[460].start 12364.994
transcript.whisperx[460].end 12370.858
transcript.whisperx[460].text 董事長你算數比較好你說95%的良率那就是要小於75萬戶少於75萬戶嘛就是停電要少於75萬那請問台電維持每天都是標準嗎
transcript.whisperx[461].start 12380.086
transcript.whisperx[461].end 12381.766
transcript.whisperx[461].text 市長,你們要對我們的國營事業訂出一個類似台積電良率的要求
transcript.whisperx[462].start 12405.714
transcript.whisperx[462].end 12424.565
transcript.whisperx[462].text 一般的航空公司有里程事故率多少萬里程才出一個事故多少萬的供電戶我們才多久時間發生一個電力事故把這個定給台電讓他來好好表現好不好可以嗎總統可以接受喔好來我來問一下今天是退休潮啦說要出現斷層有這個情況嗎有沒有
transcript.whisperx[463].start 12427.448
transcript.whisperx[463].end 12445.854
transcript.whisperx[463].text 呃 跟委員報告我是問那個次長 有沒有你台 國營事業現在退休潮已經慢慢開始了但是我要跟你強調我關心的不是台電的或中油或我關心的是這一個 來請看下一頁你知道我們屏東縣的自來水普及率多少嗎 我們董事長可以幫忙一下有沒有達到八成 次長知不知道
transcript.whisperx[464].start 12446.354
transcript.whisperx[464].end 12457.917
transcript.whisperx[464].text 沒有沒有來請問董事長李董事長是請問你覺得台平東縣的政策普及率好不容易才從不到六成提升到快七成主要問題是人力不足還是預算不夠
transcript.whisperx[465].start 12459.382
transcript.whisperx[465].end 12468.069
transcript.whisperx[465].text 跟委員報告,其實也不是從不到6層,應該更早,106年是不到5層,那現在已經突破7層全國的平均是92%,94.9%問題是說這個率算不夠還是人力不足?
transcript.whisperx[466].start 12480.981
transcript.whisperx[466].end 12492.951
transcript.whisperx[466].text 這個應該不是人力不足啊不是人力不足但是我問過主計長前任主計長跟前任主計長他說有你們能做多少我通通編給你過去前章幾期是不是得到權力的支持這個因為
transcript.whisperx[467].start 12495.462
transcript.whisperx[467].end 12514.951
transcript.whisperx[467].text 我們從前章計畫裡面有一個你直接簡單的講因為時間有限有沒有權力支持你的預算這個預算是從計畫是水利署都來了權力支持嘛權力支持但是為什麼今年明年的資格21你知道嗎因為主計總是說你們最多水公司只能做到19億
transcript.whisperx[468].start 12516.741
transcript.whisperx[468].end 12524.482
transcript.whisperx[468].text 市長你要了解問題了沒有水公司目前的量能我們給他再多的預算他沒辦法執行發報完成阿是不是人力太少
transcript.whisperx[469].start 12525.558
transcript.whisperx[469].end 12552.754
transcript.whisperx[469].text 跟委員報告齁應該不只19億啦因為本身我們屏東七處不只19億對我們還有一些管線開放的管線工程所以你們大概可以做到多少我們一個七處屏東七處啦齁一年大概二三十億還有我們一個工程處對包括工程處包括工程處那我就去跟主席長要求要給我們三十億加強屏東市自來水的普及可不可以
transcript.whisperx[470].start 12553.314
transcript.whisperx[470].end 12559.357
transcript.whisperx[470].text 你保證喔 市長他答應喔委員我們已經送了一個800億的企劃喔是甚麼 東東藥水企劃多少是屏東縣的自來水普及我們因為普及率的提升我們是繼續在辦業館其實過去111年是編了20.5億112年編了17億113年編了15億 為什麼
transcript.whisperx[471].start 12581.363
transcript.whisperx[471].end 12609.412
transcript.whisperx[471].text 因為其實呢這個是關於鹽管工程還有一個叫做檢疫自來水我知道你們去明年度的檢疫自來水原住民地區有保留有留下來有保住但是非原住民地區是不是刪掉了市長是不是這樣是因為什麼原因錢不夠還是人力不夠市長直接回答你如果說錢不夠我就去爭取這個這個是水利不是自來水檢疫的是我知道檢疫是水利署你是市長啊問你他剛好而已啊
transcript.whisperx[472].start 12610.586
transcript.whisperx[472].end 12611.066
transcript.whisperx[472].text 市長你知道嗎?
transcript.whisperx[473].start 12611.066
transcript.whisperx[473].end 12611.186
transcript.whisperx[473].text 知道
transcript.whisperx[474].start 12639.335
transcript.whisperx[474].end 12665.92
transcript.whisperx[474].text 知道嗎?董事長也跟他講了,對不對?是不是過去下一頁,你們過去曾經這40年來你們的水質的污染處理問題有薄膜技術你們在極端氣候和汗老不均的情況上有沒有辦法去提供水質水量的穩定?是不是你們一度要去一個國家去協助他們制裁者工程,有沒有?有,有,這個之前有要協助新南向哪一個國家?印尼印尼我常去,印尼真的需要協助
transcript.whisperx[475].start 12667.034
transcript.whisperx[475].end 12687.548
transcript.whisperx[475].text 市長我要告訴你如果你們擔心水公司這幾年擴充人力國內的自來水普及提升之後這些人力沒出去我告訴你叫做ODA叫做政府開發援助在中國叫做一帶一路但在台灣我們的國營事業的工程品的優良超過中國台灣這種信用超過中國他什麼意思
transcript.whisperx[476].start 12688.248
transcript.whisperx[476].end 12717.694
transcript.whisperx[476].text 台灣的政府提供貸款給對手國對手國把這個貸款用來僱請台灣的營建工程商幫他們做基礎建設、公共設施錢都不會到外國政府口袋通通都回到台灣的承包商知道這個ODA嗎?好知道下一頁所以最後呢就這樣我們國內的基礎建設如果國營事業行有一律完成之後這些充實的人力可以用來不是閒置人力這些優質的人力可以用來協助政府做ODA你知不支持?市長知不支持?
transcript.whisperx[477].start 12719.099
transcript.whisperx[477].end 12735.26
transcript.whisperx[477].text 支持好所以回去告訴你們的副理事長官所以公司的人力給我多支持一下預算我來幫你爭取好不好如果以後有這個量能幫其他的國家有幫國家興建他們的基礎建設用OT的方式好不好好謝謝主席
transcript.whisperx[478].start 12737.614
transcript.whisperx[478].end 12763.047
transcript.whisperx[478].text 謝謝那那個主席總書要告訴他不要亂講話數字差那麼多謝謝接下來我們請何欣淳委員何欣淳何欣淳委員好主席台宣布我們登記發言的委員除了不在場之外其餘都已經發言完畢那這個詢答結束我們有委員謝一鳳委員
transcript.whisperx[479].start 12766.449
transcript.whisperx[479].end 12790.02
transcript.whisperx[479].text 楊瓊怡委員.林俊憲委員所提的書面質詢列入紀錄刊登公報。書面質詢以及為其答覆的部分請於相關單位於一週之內以書面答覆並複製本會。本日議程處理完畢我們要特別感謝我們議事組人員還有行政部門謝謝大家媒體朋友大家辛苦了我們明天禮拜四繼續開會現在休息
transcript.whisperx[480].start 12801.43
transcript.whisperx[480].end 12802.452
transcript.whisperx[480].text 委員會主席