iVOD / 17253

Field Value
IVOD_ID 17253
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17253
日期 2026-03-03
會議資料.會議代碼 院會-11-5-1
會議資料.會議代碼:str 第11屆第5會期第1次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 1
會議資料.種類 院會
會議資料.標題 第11屆第5會期第1次會議
影片種類 Full
開始時間 2026-03-03T14:30:00+08:00
結束時間 2026-03-05T17:30:00+08:00
影片長度 51:00:00
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a60956d936a36b0c3f7c5510574b87707a0c99a0e64182b5d71c408bac9210546b065ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-03-03T09:00:00+08:00
會議名稱 第11屆第5會期第1次會議(事由:一、行政院院長提出施政方針及施政報告並備質詢(2月24日下午)。二、行政院院長提出臺美關稅談判結果及其影響專案報告並備質詢(3月3日)。)
委員名稱 完整會議
委員發言時間 14:30:00 - 17:30:00
transcript.pyannote[0].speaker SPEAKER_11
transcript.pyannote[0].start 39.78846875
transcript.pyannote[0].end 44.58096875
transcript.pyannote[1].speaker SPEAKER_11
transcript.pyannote[1].start 44.64846875
transcript.pyannote[1].end 53.81159375
transcript.pyannote[2].speaker SPEAKER_11
transcript.pyannote[2].start 54.08159375
transcript.pyannote[2].end 62.58659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 58.21596875
transcript.pyannote[3].end 58.26659375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 58.50284375
transcript.pyannote[4].end 59.19471875
transcript.pyannote[5].speaker SPEAKER_15
transcript.pyannote[5].start 60.03846875
transcript.pyannote[5].end 60.30846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 62.06346875
transcript.pyannote[6].end 62.13096875
transcript.pyannote[7].speaker SPEAKER_11
transcript.pyannote[7].start 62.97471875
transcript.pyannote[7].end 65.35409375
transcript.pyannote[8].speaker SPEAKER_11
transcript.pyannote[8].start 65.79284375
transcript.pyannote[8].end 67.88534375
transcript.pyannote[9].speaker SPEAKER_11
transcript.pyannote[9].start 68.45909375
transcript.pyannote[9].end 73.35284375
transcript.pyannote[10].speaker SPEAKER_08
transcript.pyannote[10].start 88.25346875
transcript.pyannote[10].end 92.69159375
transcript.pyannote[11].speaker SPEAKER_11
transcript.pyannote[11].start 93.33284375
transcript.pyannote[11].end 95.03721875
transcript.pyannote[12].speaker SPEAKER_11
transcript.pyannote[12].start 95.20596875
transcript.pyannote[12].end 95.77971875
transcript.pyannote[13].speaker SPEAKER_11
transcript.pyannote[13].start 98.66534375
transcript.pyannote[13].end 99.71159375
transcript.pyannote[14].speaker SPEAKER_22
transcript.pyannote[14].start 106.83284375
transcript.pyannote[14].end 111.81096875
transcript.pyannote[15].speaker SPEAKER_09
transcript.pyannote[15].start 112.09784375
transcript.pyannote[15].end 118.37534375
transcript.pyannote[16].speaker SPEAKER_09
transcript.pyannote[16].start 118.79721875
transcript.pyannote[16].end 130.20471875
transcript.pyannote[17].speaker SPEAKER_09
transcript.pyannote[17].start 130.52534375
transcript.pyannote[17].end 134.79471875
transcript.pyannote[18].speaker SPEAKER_09
transcript.pyannote[18].start 135.28409375
transcript.pyannote[18].end 137.37659375
transcript.pyannote[19].speaker SPEAKER_09
transcript.pyannote[19].start 137.74784375
transcript.pyannote[19].end 140.17784375
transcript.pyannote[20].speaker SPEAKER_09
transcript.pyannote[20].start 140.68409375
transcript.pyannote[20].end 142.00034375
transcript.pyannote[21].speaker SPEAKER_09
transcript.pyannote[21].start 142.81034375
transcript.pyannote[21].end 146.55659375
transcript.pyannote[22].speaker SPEAKER_09
transcript.pyannote[22].start 146.82659375
transcript.pyannote[22].end 151.28159375
transcript.pyannote[23].speaker SPEAKER_09
transcript.pyannote[23].start 151.56846875
transcript.pyannote[23].end 154.43721875
transcript.pyannote[24].speaker SPEAKER_09
transcript.pyannote[24].start 154.89284375
transcript.pyannote[24].end 162.65534375
transcript.pyannote[25].speaker SPEAKER_09
transcript.pyannote[25].start 163.09409375
transcript.pyannote[25].end 167.02596875
transcript.pyannote[26].speaker SPEAKER_09
transcript.pyannote[26].start 167.29596875
transcript.pyannote[26].end 174.11346875
transcript.pyannote[27].speaker SPEAKER_09
transcript.pyannote[27].start 174.65346875
transcript.pyannote[27].end 177.87659375
transcript.pyannote[28].speaker SPEAKER_09
transcript.pyannote[28].start 178.09596875
transcript.pyannote[28].end 185.45346875
transcript.pyannote[29].speaker SPEAKER_09
transcript.pyannote[29].start 185.99346875
transcript.pyannote[29].end 193.87409375
transcript.pyannote[30].speaker SPEAKER_09
transcript.pyannote[30].start 194.31284375
transcript.pyannote[30].end 227.15159375
transcript.pyannote[31].speaker SPEAKER_09
transcript.pyannote[31].start 227.43846875
transcript.pyannote[31].end 228.14721875
transcript.pyannote[32].speaker SPEAKER_09
transcript.pyannote[32].start 228.56909375
transcript.pyannote[32].end 230.50971875
transcript.pyannote[33].speaker SPEAKER_09
transcript.pyannote[33].start 230.93159375
transcript.pyannote[33].end 239.77409375
transcript.pyannote[34].speaker SPEAKER_09
transcript.pyannote[34].start 240.09471875
transcript.pyannote[34].end 246.42284375
transcript.pyannote[35].speaker SPEAKER_09
transcript.pyannote[35].start 246.54096875
transcript.pyannote[35].end 274.06409375
transcript.pyannote[36].speaker SPEAKER_09
transcript.pyannote[36].start 274.26659375
transcript.pyannote[36].end 288.25596875
transcript.pyannote[37].speaker SPEAKER_09
transcript.pyannote[37].start 288.88034375
transcript.pyannote[37].end 289.58909375
transcript.pyannote[38].speaker SPEAKER_09
transcript.pyannote[38].start 290.43284375
transcript.pyannote[38].end 296.47409375
transcript.pyannote[39].speaker SPEAKER_09
transcript.pyannote[39].start 296.92971875
transcript.pyannote[39].end 299.46096875
transcript.pyannote[40].speaker SPEAKER_09
transcript.pyannote[40].start 299.79846875
transcript.pyannote[40].end 305.75534375
transcript.pyannote[41].speaker SPEAKER_09
transcript.pyannote[41].start 306.21096875
transcript.pyannote[41].end 307.17284375
transcript.pyannote[42].speaker SPEAKER_09
transcript.pyannote[42].start 307.59471875
transcript.pyannote[42].end 313.02846875
transcript.pyannote[43].speaker SPEAKER_09
transcript.pyannote[43].start 313.39971875
transcript.pyannote[43].end 336.82221875
transcript.pyannote[44].speaker SPEAKER_09
transcript.pyannote[44].start 337.04159375
transcript.pyannote[44].end 339.77534375
transcript.pyannote[45].speaker SPEAKER_09
transcript.pyannote[45].start 340.33221875
transcript.pyannote[45].end 342.54284375
transcript.pyannote[46].speaker SPEAKER_09
transcript.pyannote[46].start 342.76221875
transcript.pyannote[46].end 345.96846875
transcript.pyannote[47].speaker SPEAKER_09
transcript.pyannote[47].start 346.32284375
transcript.pyannote[47].end 348.14534375
transcript.pyannote[48].speaker SPEAKER_09
transcript.pyannote[48].start 348.61784375
transcript.pyannote[48].end 350.10284375
transcript.pyannote[49].speaker SPEAKER_09
transcript.pyannote[49].start 350.49096875
transcript.pyannote[49].end 351.14909375
transcript.pyannote[50].speaker SPEAKER_09
transcript.pyannote[50].start 351.70596875
transcript.pyannote[50].end 360.31221875
transcript.pyannote[51].speaker SPEAKER_09
transcript.pyannote[51].start 360.75096875
transcript.pyannote[51].end 366.16784375
transcript.pyannote[52].speaker SPEAKER_09
transcript.pyannote[52].start 366.53909375
transcript.pyannote[52].end 372.27659375
transcript.pyannote[53].speaker SPEAKER_09
transcript.pyannote[53].start 373.01909375
transcript.pyannote[53].end 376.44471875
transcript.pyannote[54].speaker SPEAKER_09
transcript.pyannote[54].start 376.91721875
transcript.pyannote[54].end 381.30471875
transcript.pyannote[55].speaker SPEAKER_22
transcript.pyannote[55].start 381.70971875
transcript.pyannote[55].end 381.94596875
transcript.pyannote[56].speaker SPEAKER_22
transcript.pyannote[56].start 382.35096875
transcript.pyannote[56].end 385.60784375
transcript.pyannote[57].speaker SPEAKER_22
transcript.pyannote[57].start 386.19846875
transcript.pyannote[57].end 387.09284375
transcript.pyannote[58].speaker SPEAKER_22
transcript.pyannote[58].start 388.37534375
transcript.pyannote[58].end 390.99096875
transcript.pyannote[59].speaker SPEAKER_22
transcript.pyannote[59].start 391.17659375
transcript.pyannote[59].end 394.24784375
transcript.pyannote[60].speaker SPEAKER_22
transcript.pyannote[60].start 394.77096875
transcript.pyannote[60].end 395.74971875
transcript.pyannote[61].speaker SPEAKER_22
transcript.pyannote[61].start 395.98596875
transcript.pyannote[61].end 397.60596875
transcript.pyannote[62].speaker SPEAKER_22
transcript.pyannote[62].start 398.02784375
transcript.pyannote[62].end 399.66471875
transcript.pyannote[63].speaker SPEAKER_22
transcript.pyannote[63].start 400.32284375
transcript.pyannote[63].end 402.95534375
transcript.pyannote[64].speaker SPEAKER_22
transcript.pyannote[64].start 403.24221875
transcript.pyannote[64].end 404.55846875
transcript.pyannote[65].speaker SPEAKER_22
transcript.pyannote[65].start 404.76096875
transcript.pyannote[65].end 406.54971875
transcript.pyannote[66].speaker SPEAKER_22
transcript.pyannote[66].start 406.93784375
transcript.pyannote[66].end 409.26659375
transcript.pyannote[67].speaker SPEAKER_22
transcript.pyannote[67].start 409.57034375
transcript.pyannote[67].end 411.69659375
transcript.pyannote[68].speaker SPEAKER_22
transcript.pyannote[68].start 412.03409375
transcript.pyannote[68].end 412.99596875
transcript.pyannote[69].speaker SPEAKER_22
transcript.pyannote[69].start 413.33346875
transcript.pyannote[69].end 416.32034375
transcript.pyannote[70].speaker SPEAKER_22
transcript.pyannote[70].start 416.50596875
transcript.pyannote[70].end 419.03721875
transcript.pyannote[71].speaker SPEAKER_22
transcript.pyannote[71].start 419.44221875
transcript.pyannote[71].end 420.58971875
transcript.pyannote[72].speaker SPEAKER_22
transcript.pyannote[72].start 420.84284375
transcript.pyannote[72].end 426.98534375
transcript.pyannote[73].speaker SPEAKER_09
transcript.pyannote[73].start 426.98534375
transcript.pyannote[73].end 429.88784375
transcript.pyannote[74].speaker SPEAKER_09
transcript.pyannote[74].start 430.22534375
transcript.pyannote[74].end 442.66221875
transcript.pyannote[75].speaker SPEAKER_09
transcript.pyannote[75].start 443.11784375
transcript.pyannote[75].end 445.73346875
transcript.pyannote[76].speaker SPEAKER_09
transcript.pyannote[76].start 446.17221875
transcript.pyannote[76].end 447.30284375
transcript.pyannote[77].speaker SPEAKER_09
transcript.pyannote[77].start 447.55596875
transcript.pyannote[77].end 449.31096875
transcript.pyannote[78].speaker SPEAKER_09
transcript.pyannote[78].start 449.59784375
transcript.pyannote[78].end 453.49596875
transcript.pyannote[79].speaker SPEAKER_09
transcript.pyannote[79].start 454.06971875
transcript.pyannote[79].end 458.69346875
transcript.pyannote[80].speaker SPEAKER_09
transcript.pyannote[80].start 458.92971875
transcript.pyannote[80].end 459.85784375
transcript.pyannote[81].speaker SPEAKER_09
transcript.pyannote[81].start 460.34721875
transcript.pyannote[81].end 462.74346875
transcript.pyannote[82].speaker SPEAKER_09
transcript.pyannote[82].start 463.33409375
transcript.pyannote[82].end 465.10596875
transcript.pyannote[83].speaker SPEAKER_09
transcript.pyannote[83].start 465.59534375
transcript.pyannote[83].end 470.59034375
transcript.pyannote[84].speaker SPEAKER_09
transcript.pyannote[84].start 471.07971875
transcript.pyannote[84].end 476.86784375
transcript.pyannote[85].speaker SPEAKER_09
transcript.pyannote[85].start 477.20534375
transcript.pyannote[85].end 479.88846875
transcript.pyannote[86].speaker SPEAKER_09
transcript.pyannote[86].start 480.02346875
transcript.pyannote[86].end 480.93471875
transcript.pyannote[87].speaker SPEAKER_09
transcript.pyannote[87].start 481.44096875
transcript.pyannote[87].end 491.11034375
transcript.pyannote[88].speaker SPEAKER_09
transcript.pyannote[88].start 491.26221875
transcript.pyannote[88].end 505.58909375
transcript.pyannote[89].speaker SPEAKER_10
transcript.pyannote[89].start 505.63971875
transcript.pyannote[89].end 510.68534375
transcript.pyannote[90].speaker SPEAKER_10
transcript.pyannote[90].start 510.75284375
transcript.pyannote[90].end 512.38971875
transcript.pyannote[91].speaker SPEAKER_10
transcript.pyannote[91].start 512.57534375
transcript.pyannote[91].end 517.21596875
transcript.pyannote[92].speaker SPEAKER_10
transcript.pyannote[92].start 517.38471875
transcript.pyannote[92].end 518.85284375
transcript.pyannote[93].speaker SPEAKER_10
transcript.pyannote[93].start 518.93721875
transcript.pyannote[93].end 558.28971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 527.10471875
transcript.pyannote[94].end 527.12159375
transcript.pyannote[95].speaker SPEAKER_07
transcript.pyannote[95].start 527.12159375
transcript.pyannote[95].end 527.67846875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 527.67846875
transcript.pyannote[96].end 528.42096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 530.85096875
transcript.pyannote[97].end 531.28971875
transcript.pyannote[98].speaker SPEAKER_09
transcript.pyannote[98].start 558.28971875
transcript.pyannote[98].end 558.32346875
transcript.pyannote[99].speaker SPEAKER_09
transcript.pyannote[99].start 558.55971875
transcript.pyannote[99].end 565.86659375
transcript.pyannote[100].speaker SPEAKER_09
transcript.pyannote[100].start 566.17034375
transcript.pyannote[100].end 569.79846875
transcript.pyannote[101].speaker SPEAKER_09
transcript.pyannote[101].start 570.27096875
transcript.pyannote[101].end 575.38409375
transcript.pyannote[102].speaker SPEAKER_09
transcript.pyannote[102].start 576.00846875
transcript.pyannote[102].end 577.13909375
transcript.pyannote[103].speaker SPEAKER_09
transcript.pyannote[103].start 577.47659375
transcript.pyannote[103].end 578.40471875
transcript.pyannote[104].speaker SPEAKER_09
transcript.pyannote[104].start 579.09659375
transcript.pyannote[104].end 580.48034375
transcript.pyannote[105].speaker SPEAKER_09
transcript.pyannote[105].start 581.32409375
transcript.pyannote[105].end 597.23721875
transcript.pyannote[106].speaker SPEAKER_09
transcript.pyannote[106].start 597.50721875
transcript.pyannote[106].end 598.26659375
transcript.pyannote[107].speaker SPEAKER_09
transcript.pyannote[107].start 598.85721875
transcript.pyannote[107].end 618.66846875
transcript.pyannote[108].speaker SPEAKER_09
transcript.pyannote[108].start 618.93846875
transcript.pyannote[108].end 621.89159375
transcript.pyannote[109].speaker SPEAKER_09
transcript.pyannote[109].start 623.27534375
transcript.pyannote[109].end 633.78846875
transcript.pyannote[110].speaker SPEAKER_09
transcript.pyannote[110].start 634.09221875
transcript.pyannote[110].end 638.22659375
transcript.pyannote[111].speaker SPEAKER_09
transcript.pyannote[111].start 638.32784375
transcript.pyannote[111].end 641.56784375
transcript.pyannote[112].speaker SPEAKER_10
transcript.pyannote[112].start 642.05721875
transcript.pyannote[112].end 663.48846875
transcript.pyannote[113].speaker SPEAKER_09
transcript.pyannote[113].start 662.81346875
transcript.pyannote[113].end 665.42909375
transcript.pyannote[114].speaker SPEAKER_10
transcript.pyannote[114].start 663.77534375
transcript.pyannote[114].end 685.76346875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 672.39846875
transcript.pyannote[115].end 672.41534375
transcript.pyannote[116].speaker SPEAKER_09
transcript.pyannote[116].start 672.41534375
transcript.pyannote[116].end 673.49534375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 673.49534375
transcript.pyannote[117].end 673.52909375
transcript.pyannote[118].speaker SPEAKER_09
transcript.pyannote[118].start 674.05221875
transcript.pyannote[118].end 675.70596875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 676.56659375
transcript.pyannote[119].end 676.60034375
transcript.pyannote[120].speaker SPEAKER_09
transcript.pyannote[120].start 676.60034375
transcript.pyannote[120].end 676.87034375
transcript.pyannote[121].speaker SPEAKER_09
transcript.pyannote[121].start 683.09721875
transcript.pyannote[121].end 685.37534375
transcript.pyannote[122].speaker SPEAKER_09
transcript.pyannote[122].start 685.98284375
transcript.pyannote[122].end 687.31596875
transcript.pyannote[123].speaker SPEAKER_09
transcript.pyannote[123].start 687.60284375
transcript.pyannote[123].end 702.79034375
transcript.pyannote[124].speaker SPEAKER_09
transcript.pyannote[124].start 703.17846875
transcript.pyannote[124].end 715.86846875
transcript.pyannote[125].speaker SPEAKER_09
transcript.pyannote[125].start 716.13846875
transcript.pyannote[125].end 757.00971875
transcript.pyannote[126].speaker SPEAKER_09
transcript.pyannote[126].start 757.31346875
transcript.pyannote[126].end 784.87034375
transcript.pyannote[127].speaker SPEAKER_09
transcript.pyannote[127].start 785.15721875
transcript.pyannote[127].end 789.12284375
transcript.pyannote[128].speaker SPEAKER_09
transcript.pyannote[128].start 789.37596875
transcript.pyannote[128].end 800.95221875
transcript.pyannote[129].speaker SPEAKER_09
transcript.pyannote[129].start 801.39096875
transcript.pyannote[129].end 806.13284375
transcript.pyannote[130].speaker SPEAKER_09
transcript.pyannote[130].start 806.57159375
transcript.pyannote[130].end 824.17221875
transcript.pyannote[131].speaker SPEAKER_09
transcript.pyannote[131].start 824.76284375
transcript.pyannote[131].end 826.29846875
transcript.pyannote[132].speaker SPEAKER_09
transcript.pyannote[132].start 826.65284375
transcript.pyannote[132].end 844.45596875
transcript.pyannote[133].speaker SPEAKER_09
transcript.pyannote[133].start 844.91159375
transcript.pyannote[133].end 847.62846875
transcript.pyannote[134].speaker SPEAKER_09
transcript.pyannote[134].start 848.03346875
transcript.pyannote[134].end 859.12034375
transcript.pyannote[135].speaker SPEAKER_09
transcript.pyannote[135].start 859.37346875
transcript.pyannote[135].end 859.98096875
transcript.pyannote[136].speaker SPEAKER_09
transcript.pyannote[136].start 860.31846875
transcript.pyannote[136].end 862.39409375
transcript.pyannote[137].speaker SPEAKER_09
transcript.pyannote[137].start 863.52471875
transcript.pyannote[137].end 879.10034375
transcript.pyannote[138].speaker SPEAKER_09
transcript.pyannote[138].start 879.52221875
transcript.pyannote[138].end 902.45534375
transcript.pyannote[139].speaker SPEAKER_09
transcript.pyannote[139].start 902.80971875
transcript.pyannote[139].end 904.48034375
transcript.pyannote[140].speaker SPEAKER_09
transcript.pyannote[140].start 904.80096875
transcript.pyannote[140].end 925.99596875
transcript.pyannote[141].speaker SPEAKER_09
transcript.pyannote[141].start 926.38409375
transcript.pyannote[141].end 942.34784375
transcript.pyannote[142].speaker SPEAKER_14
transcript.pyannote[142].start 942.71909375
transcript.pyannote[142].end 943.51221875
transcript.pyannote[143].speaker SPEAKER_14
transcript.pyannote[143].start 943.73159375
transcript.pyannote[143].end 948.43971875
transcript.pyannote[144].speaker SPEAKER_09
transcript.pyannote[144].start 947.17409375
transcript.pyannote[144].end 947.49471875
transcript.pyannote[145].speaker SPEAKER_14
transcript.pyannote[145].start 948.60846875
transcript.pyannote[145].end 949.01346875
transcript.pyannote[146].speaker SPEAKER_14
transcript.pyannote[146].start 949.14846875
transcript.pyannote[146].end 951.83159375
transcript.pyannote[147].speaker SPEAKER_14
transcript.pyannote[147].start 952.23659375
transcript.pyannote[147].end 956.55659375
transcript.pyannote[148].speaker SPEAKER_14
transcript.pyannote[148].start 956.91096875
transcript.pyannote[148].end 967.47471875
transcript.pyannote[149].speaker SPEAKER_14
transcript.pyannote[149].start 967.69409375
transcript.pyannote[149].end 970.71471875
transcript.pyannote[150].speaker SPEAKER_14
transcript.pyannote[150].start 970.79909375
transcript.pyannote[150].end 973.66784375
transcript.pyannote[151].speaker SPEAKER_14
transcript.pyannote[151].start 973.93784375
transcript.pyannote[151].end 977.02596875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 974.25846875
transcript.pyannote[152].end 975.23721875
transcript.pyannote[153].speaker SPEAKER_14
transcript.pyannote[153].start 977.41409375
transcript.pyannote[153].end 986.50971875
transcript.pyannote[154].speaker SPEAKER_09
transcript.pyannote[154].start 986.47596875
transcript.pyannote[154].end 991.06596875
transcript.pyannote[155].speaker SPEAKER_14
transcript.pyannote[155].start 987.31971875
transcript.pyannote[155].end 988.58534375
transcript.pyannote[156].speaker SPEAKER_14
transcript.pyannote[156].start 989.22659375
transcript.pyannote[156].end 992.24721875
transcript.pyannote[157].speaker SPEAKER_09
transcript.pyannote[157].start 991.69034375
transcript.pyannote[157].end 1006.16909375
transcript.pyannote[158].speaker SPEAKER_10
transcript.pyannote[158].start 1006.16909375
transcript.pyannote[158].end 1009.59471875
transcript.pyannote[159].speaker SPEAKER_09
transcript.pyannote[159].start 1006.38846875
transcript.pyannote[159].end 1006.77659375
transcript.pyannote[160].speaker SPEAKER_09
transcript.pyannote[160].start 1009.59471875
transcript.pyannote[160].end 1012.51409375
transcript.pyannote[161].speaker SPEAKER_09
transcript.pyannote[161].start 1017.96471875
transcript.pyannote[161].end 1024.14096875
transcript.pyannote[162].speaker SPEAKER_09
transcript.pyannote[162].start 1024.64721875
transcript.pyannote[162].end 1025.03534375
transcript.pyannote[163].speaker SPEAKER_11
transcript.pyannote[163].start 1030.18221875
transcript.pyannote[163].end 1034.45159375
transcript.pyannote[164].speaker SPEAKER_11
transcript.pyannote[164].start 1035.46409375
transcript.pyannote[164].end 1035.64971875
transcript.pyannote[165].speaker SPEAKER_11
transcript.pyannote[165].start 1037.25284375
transcript.pyannote[165].end 1041.10034375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 1049.60534375
transcript.pyannote[166].end 1052.86221875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 1053.48659375
transcript.pyannote[167].end 1054.63409375
transcript.pyannote[168].speaker SPEAKER_20
transcript.pyannote[168].start 1063.88159375
transcript.pyannote[168].end 1063.89846875
transcript.pyannote[169].speaker SPEAKER_22
transcript.pyannote[169].start 1063.89846875
transcript.pyannote[169].end 1064.03346875
transcript.pyannote[170].speaker SPEAKER_20
transcript.pyannote[170].start 1064.03346875
transcript.pyannote[170].end 1068.26909375
transcript.pyannote[171].speaker SPEAKER_20
transcript.pyannote[171].start 1068.55596875
transcript.pyannote[171].end 1081.17846875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 1071.93096875
transcript.pyannote[172].end 1072.35284375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 1073.97284375
transcript.pyannote[173].end 1074.46221875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 1080.77346875
transcript.pyannote[174].end 1080.79034375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 1080.79034375
transcript.pyannote[175].end 1080.97596875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 1080.97596875
transcript.pyannote[176].end 1081.04346875
transcript.pyannote[177].speaker SPEAKER_20
transcript.pyannote[177].start 1081.56659375
transcript.pyannote[177].end 1087.25346875
transcript.pyannote[178].speaker SPEAKER_20
transcript.pyannote[178].start 1087.48971875
transcript.pyannote[178].end 1088.48534375
transcript.pyannote[179].speaker SPEAKER_20
transcript.pyannote[179].start 1088.80596875
transcript.pyannote[179].end 1089.97034375
transcript.pyannote[180].speaker SPEAKER_22
transcript.pyannote[180].start 1088.83971875
transcript.pyannote[180].end 1089.22784375
transcript.pyannote[181].speaker SPEAKER_22
transcript.pyannote[181].start 1089.97034375
transcript.pyannote[181].end 1097.54721875
transcript.pyannote[182].speaker SPEAKER_22
transcript.pyannote[182].start 1098.12096875
transcript.pyannote[182].end 1098.15471875
transcript.pyannote[183].speaker SPEAKER_20
transcript.pyannote[183].start 1098.15471875
transcript.pyannote[183].end 1113.47721875
transcript.pyannote[184].speaker SPEAKER_10
transcript.pyannote[184].start 1112.56596875
transcript.pyannote[184].end 1124.68221875
transcript.pyannote[185].speaker SPEAKER_20
transcript.pyannote[185].start 1117.45971875
transcript.pyannote[185].end 1118.25284375
transcript.pyannote[186].speaker SPEAKER_20
transcript.pyannote[186].start 1121.39159375
transcript.pyannote[186].end 1154.24721875
transcript.pyannote[187].speaker SPEAKER_20
transcript.pyannote[187].start 1154.56784375
transcript.pyannote[187].end 1170.04221875
transcript.pyannote[188].speaker SPEAKER_20
transcript.pyannote[188].start 1170.46409375
transcript.pyannote[188].end 1173.02909375
transcript.pyannote[189].speaker SPEAKER_20
transcript.pyannote[189].start 1173.50159375
transcript.pyannote[189].end 1189.93784375
transcript.pyannote[190].speaker SPEAKER_20
transcript.pyannote[190].start 1190.25846875
transcript.pyannote[190].end 1197.56534375
transcript.pyannote[191].speaker SPEAKER_22
transcript.pyannote[191].start 1197.56534375
transcript.pyannote[191].end 1197.58221875
transcript.pyannote[192].speaker SPEAKER_22
transcript.pyannote[192].start 1198.18971875
transcript.pyannote[192].end 1198.45971875
transcript.pyannote[193].speaker SPEAKER_20
transcript.pyannote[193].start 1198.76346875
transcript.pyannote[193].end 1198.78034375
transcript.pyannote[194].speaker SPEAKER_22
transcript.pyannote[194].start 1198.78034375
transcript.pyannote[194].end 1207.06596875
transcript.pyannote[195].speaker SPEAKER_22
transcript.pyannote[195].start 1207.38659375
transcript.pyannote[195].end 1211.50409375
transcript.pyannote[196].speaker SPEAKER_22
transcript.pyannote[196].start 1211.92596875
transcript.pyannote[196].end 1213.71471875
transcript.pyannote[197].speaker SPEAKER_22
transcript.pyannote[197].start 1214.06909375
transcript.pyannote[197].end 1220.43096875
transcript.pyannote[198].speaker SPEAKER_22
transcript.pyannote[198].start 1220.65034375
transcript.pyannote[198].end 1223.40096875
transcript.pyannote[199].speaker SPEAKER_22
transcript.pyannote[199].start 1223.94096875
transcript.pyannote[199].end 1225.52721875
transcript.pyannote[200].speaker SPEAKER_22
transcript.pyannote[200].start 1225.69596875
transcript.pyannote[200].end 1226.96159375
transcript.pyannote[201].speaker SPEAKER_22
transcript.pyannote[201].start 1227.24846875
transcript.pyannote[201].end 1231.01159375
transcript.pyannote[202].speaker SPEAKER_22
transcript.pyannote[202].start 1231.38284375
transcript.pyannote[202].end 1234.53846875
transcript.pyannote[203].speaker SPEAKER_22
transcript.pyannote[203].start 1234.62284375
transcript.pyannote[203].end 1236.66471875
transcript.pyannote[204].speaker SPEAKER_22
transcript.pyannote[204].start 1236.83346875
transcript.pyannote[204].end 1239.88784375
transcript.pyannote[205].speaker SPEAKER_22
transcript.pyannote[205].start 1240.15784375
transcript.pyannote[205].end 1242.75659375
transcript.pyannote[206].speaker SPEAKER_22
transcript.pyannote[206].start 1242.92534375
transcript.pyannote[206].end 1244.17409375
transcript.pyannote[207].speaker SPEAKER_22
transcript.pyannote[207].start 1244.35971875
transcript.pyannote[207].end 1247.43096875
transcript.pyannote[208].speaker SPEAKER_22
transcript.pyannote[208].start 1247.56596875
transcript.pyannote[208].end 1252.54409375
transcript.pyannote[209].speaker SPEAKER_22
transcript.pyannote[209].start 1252.76346875
transcript.pyannote[209].end 1254.73784375
transcript.pyannote[210].speaker SPEAKER_22
transcript.pyannote[210].start 1255.36221875
transcript.pyannote[210].end 1256.23971875
transcript.pyannote[211].speaker SPEAKER_22
transcript.pyannote[211].start 1256.37471875
transcript.pyannote[211].end 1258.95659375
transcript.pyannote[212].speaker SPEAKER_22
transcript.pyannote[212].start 1259.31096875
transcript.pyannote[212].end 1259.69909375
transcript.pyannote[213].speaker SPEAKER_22
transcript.pyannote[213].start 1260.00284375
transcript.pyannote[213].end 1260.82971875
transcript.pyannote[214].speaker SPEAKER_22
transcript.pyannote[214].start 1260.98159375
transcript.pyannote[214].end 1262.29784375
transcript.pyannote[215].speaker SPEAKER_22
transcript.pyannote[215].start 1262.66909375
transcript.pyannote[215].end 1273.21596875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 1267.54596875
transcript.pyannote[216].end 1268.27159375
transcript.pyannote[217].speaker SPEAKER_22
transcript.pyannote[217].start 1273.46909375
transcript.pyannote[217].end 1278.54846875
transcript.pyannote[218].speaker SPEAKER_22
transcript.pyannote[218].start 1278.95346875
transcript.pyannote[218].end 1284.48846875
transcript.pyannote[219].speaker SPEAKER_20
transcript.pyannote[219].start 1283.88096875
transcript.pyannote[219].end 1293.39846875
transcript.pyannote[220].speaker SPEAKER_20
transcript.pyannote[220].start 1293.97221875
transcript.pyannote[220].end 1335.97409375
transcript.pyannote[221].speaker SPEAKER_20
transcript.pyannote[221].start 1336.24409375
transcript.pyannote[221].end 1338.06659375
transcript.pyannote[222].speaker SPEAKER_22
transcript.pyannote[222].start 1338.06659375
transcript.pyannote[222].end 1340.71596875
transcript.pyannote[223].speaker SPEAKER_22
transcript.pyannote[223].start 1340.96909375
transcript.pyannote[223].end 1344.93471875
transcript.pyannote[224].speaker SPEAKER_22
transcript.pyannote[224].start 1345.06971875
transcript.pyannote[224].end 1347.87096875
transcript.pyannote[225].speaker SPEAKER_22
transcript.pyannote[225].start 1348.32659375
transcript.pyannote[225].end 1352.41034375
transcript.pyannote[226].speaker SPEAKER_22
transcript.pyannote[226].start 1352.52846875
transcript.pyannote[226].end 1353.13596875
transcript.pyannote[227].speaker SPEAKER_22
transcript.pyannote[227].start 1353.49034375
transcript.pyannote[227].end 1358.73846875
transcript.pyannote[228].speaker SPEAKER_22
transcript.pyannote[228].start 1358.90721875
transcript.pyannote[228].end 1362.40034375
transcript.pyannote[229].speaker SPEAKER_22
transcript.pyannote[229].start 1362.56909375
transcript.pyannote[229].end 1363.27784375
transcript.pyannote[230].speaker SPEAKER_22
transcript.pyannote[230].start 1363.76721875
transcript.pyannote[230].end 1372.60971875
transcript.pyannote[231].speaker SPEAKER_20
transcript.pyannote[231].start 1372.60971875
transcript.pyannote[231].end 1372.79534375
transcript.pyannote[232].speaker SPEAKER_22
transcript.pyannote[232].start 1372.79534375
transcript.pyannote[232].end 1373.03159375
transcript.pyannote[233].speaker SPEAKER_20
transcript.pyannote[233].start 1373.03159375
transcript.pyannote[233].end 1375.93409375
transcript.pyannote[234].speaker SPEAKER_20
transcript.pyannote[234].start 1376.01846875
transcript.pyannote[234].end 1382.07659375
transcript.pyannote[235].speaker SPEAKER_22
transcript.pyannote[235].start 1376.05221875
transcript.pyannote[235].end 1376.82846875
transcript.pyannote[236].speaker SPEAKER_20
transcript.pyannote[236].start 1382.17784375
transcript.pyannote[236].end 1420.45034375
transcript.pyannote[237].speaker SPEAKER_20
transcript.pyannote[237].start 1420.66971875
transcript.pyannote[237].end 1420.97346875
transcript.pyannote[238].speaker SPEAKER_22
transcript.pyannote[238].start 1420.97346875
transcript.pyannote[238].end 1421.68221875
transcript.pyannote[239].speaker SPEAKER_20
transcript.pyannote[239].start 1421.68221875
transcript.pyannote[239].end 1421.74971875
transcript.pyannote[240].speaker SPEAKER_22
transcript.pyannote[240].start 1421.74971875
transcript.pyannote[240].end 1423.85909375
transcript.pyannote[241].speaker SPEAKER_22
transcript.pyannote[241].start 1424.24721875
transcript.pyannote[241].end 1426.86284375
transcript.pyannote[242].speaker SPEAKER_22
transcript.pyannote[242].start 1427.25096875
transcript.pyannote[242].end 1429.41096875
transcript.pyannote[243].speaker SPEAKER_22
transcript.pyannote[243].start 1430.05221875
transcript.pyannote[243].end 1430.76096875
transcript.pyannote[244].speaker SPEAKER_22
transcript.pyannote[244].start 1430.92971875
transcript.pyannote[244].end 1433.12346875
transcript.pyannote[245].speaker SPEAKER_15
transcript.pyannote[245].start 1432.61721875
transcript.pyannote[245].end 1432.97159375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 1432.97159375
transcript.pyannote[246].end 1433.03909375
transcript.pyannote[247].speaker SPEAKER_22
transcript.pyannote[247].start 1433.37659375
transcript.pyannote[247].end 1444.66596875
transcript.pyannote[248].speaker SPEAKER_20
transcript.pyannote[248].start 1440.90284375
transcript.pyannote[248].end 1450.45409375
transcript.pyannote[249].speaker SPEAKER_22
transcript.pyannote[249].start 1448.78346875
transcript.pyannote[249].end 1448.90159375
transcript.pyannote[250].speaker SPEAKER_22
transcript.pyannote[250].start 1449.72846875
transcript.pyannote[250].end 1450.47096875
transcript.pyannote[251].speaker SPEAKER_20
transcript.pyannote[251].start 1450.47096875
transcript.pyannote[251].end 1500.77534375
transcript.pyannote[252].speaker SPEAKER_20
transcript.pyannote[252].start 1501.14659375
transcript.pyannote[252].end 1505.39909375
transcript.pyannote[253].speaker SPEAKER_20
transcript.pyannote[253].start 1505.77034375
transcript.pyannote[253].end 1506.05721875
transcript.pyannote[254].speaker SPEAKER_20
transcript.pyannote[254].start 1506.17534375
transcript.pyannote[254].end 1509.55034375
transcript.pyannote[255].speaker SPEAKER_20
transcript.pyannote[255].start 1509.80346875
transcript.pyannote[255].end 1518.07221875
transcript.pyannote[256].speaker SPEAKER_20
transcript.pyannote[256].start 1518.56159375
transcript.pyannote[256].end 1527.13409375
transcript.pyannote[257].speaker SPEAKER_20
transcript.pyannote[257].start 1527.28596875
transcript.pyannote[257].end 1531.70721875
transcript.pyannote[258].speaker SPEAKER_20
transcript.pyannote[258].start 1531.84221875
transcript.pyannote[258].end 1533.58034375
transcript.pyannote[259].speaker SPEAKER_20
transcript.pyannote[259].start 1533.74909375
transcript.pyannote[259].end 1534.25534375
transcript.pyannote[260].speaker SPEAKER_20
transcript.pyannote[260].start 1534.67721875
transcript.pyannote[260].end 1535.30159375
transcript.pyannote[261].speaker SPEAKER_20
transcript.pyannote[261].start 1535.79096875
transcript.pyannote[261].end 1536.55034375
transcript.pyannote[262].speaker SPEAKER_20
transcript.pyannote[262].start 1538.10284375
transcript.pyannote[262].end 1538.49096875
transcript.pyannote[263].speaker SPEAKER_22
transcript.pyannote[263].start 1538.49096875
transcript.pyannote[263].end 1538.54159375
transcript.pyannote[264].speaker SPEAKER_20
transcript.pyannote[264].start 1538.54159375
transcript.pyannote[264].end 1538.55846875
transcript.pyannote[265].speaker SPEAKER_22
transcript.pyannote[265].start 1538.55846875
transcript.pyannote[265].end 1539.52034375
transcript.pyannote[266].speaker SPEAKER_20
transcript.pyannote[266].start 1538.57534375
transcript.pyannote[266].end 1539.57096875
transcript.pyannote[267].speaker SPEAKER_22
transcript.pyannote[267].start 1539.57096875
transcript.pyannote[267].end 1540.73534375
transcript.pyannote[268].speaker SPEAKER_20
transcript.pyannote[268].start 1539.84096875
transcript.pyannote[268].end 1540.06034375
transcript.pyannote[269].speaker SPEAKER_22
transcript.pyannote[269].start 1541.12346875
transcript.pyannote[269].end 1550.33721875
transcript.pyannote[270].speaker SPEAKER_20
transcript.pyannote[270].start 1541.15721875
transcript.pyannote[270].end 1542.06846875
transcript.pyannote[271].speaker SPEAKER_22
transcript.pyannote[271].start 1550.60721875
transcript.pyannote[271].end 1557.66096875
transcript.pyannote[272].speaker SPEAKER_10
transcript.pyannote[272].start 1557.27284375
transcript.pyannote[272].end 1567.41471875
transcript.pyannote[273].speaker SPEAKER_10
transcript.pyannote[273].start 1567.49909375
transcript.pyannote[273].end 1599.19034375
transcript.pyannote[274].speaker SPEAKER_20
transcript.pyannote[274].start 1581.15096875
transcript.pyannote[274].end 1581.64034375
transcript.pyannote[275].speaker SPEAKER_06
transcript.pyannote[275].start 1581.64034375
transcript.pyannote[275].end 1583.41221875
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 1584.17159375
transcript.pyannote[276].end 1584.18846875
transcript.pyannote[277].speaker SPEAKER_06
transcript.pyannote[277].start 1584.18846875
transcript.pyannote[277].end 1584.71159375
transcript.pyannote[278].speaker SPEAKER_10
transcript.pyannote[278].start 1599.30846875
transcript.pyannote[278].end 1631.48909375
transcript.pyannote[279].speaker SPEAKER_20
transcript.pyannote[279].start 1630.56096875
transcript.pyannote[279].end 1636.82159375
transcript.pyannote[280].speaker SPEAKER_10
transcript.pyannote[280].start 1632.85596875
transcript.pyannote[280].end 1633.24409375
transcript.pyannote[281].speaker SPEAKER_10
transcript.pyannote[281].start 1633.76721875
transcript.pyannote[281].end 1634.77971875
transcript.pyannote[282].speaker SPEAKER_10
transcript.pyannote[282].start 1635.55596875
transcript.pyannote[282].end 1654.67534375
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 1644.97221875
transcript.pyannote[283].end 1645.02284375
transcript.pyannote[284].speaker SPEAKER_20
transcript.pyannote[284].start 1645.02284375
transcript.pyannote[284].end 1645.20846875
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 1645.20846875
transcript.pyannote[285].end 1645.29284375
transcript.pyannote[286].speaker SPEAKER_20
transcript.pyannote[286].start 1654.25346875
transcript.pyannote[286].end 1680.35909375
transcript.pyannote[287].speaker SPEAKER_22
transcript.pyannote[287].start 1680.35909375
transcript.pyannote[287].end 1687.98659375
transcript.pyannote[288].speaker SPEAKER_20
transcript.pyannote[288].start 1686.26534375
transcript.pyannote[288].end 1692.96471875
transcript.pyannote[289].speaker SPEAKER_10
transcript.pyannote[289].start 1689.91034375
transcript.pyannote[289].end 1690.66971875
transcript.pyannote[290].speaker SPEAKER_10
transcript.pyannote[290].start 1691.69909375
transcript.pyannote[290].end 1693.87596875
transcript.pyannote[291].speaker SPEAKER_20
transcript.pyannote[291].start 1694.07846875
transcript.pyannote[291].end 1706.05971875
transcript.pyannote[292].speaker SPEAKER_22
transcript.pyannote[292].start 1705.30034375
transcript.pyannote[292].end 1707.00471875
transcript.pyannote[293].speaker SPEAKER_22
transcript.pyannote[293].start 1707.17346875
transcript.pyannote[293].end 1709.89034375
transcript.pyannote[294].speaker SPEAKER_20
transcript.pyannote[294].start 1708.25346875
transcript.pyannote[294].end 1709.01284375
transcript.pyannote[295].speaker SPEAKER_20
transcript.pyannote[295].start 1709.70471875
transcript.pyannote[295].end 1722.58034375
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 1723.79534375
transcript.pyannote[296].end 1728.85784375
transcript.pyannote[297].speaker SPEAKER_10
transcript.pyannote[297].start 1729.00971875
transcript.pyannote[297].end 1730.64659375
transcript.pyannote[298].speaker SPEAKER_10
transcript.pyannote[298].start 1730.95034375
transcript.pyannote[298].end 1732.30034375
transcript.pyannote[299].speaker SPEAKER_10
transcript.pyannote[299].start 1732.72221875
transcript.pyannote[299].end 1744.93971875
transcript.pyannote[300].speaker SPEAKER_00
transcript.pyannote[300].start 1739.32034375
transcript.pyannote[300].end 1739.84346875
transcript.pyannote[301].speaker SPEAKER_10
transcript.pyannote[301].start 1745.20971875
transcript.pyannote[301].end 1759.41846875
transcript.pyannote[302].speaker SPEAKER_20
transcript.pyannote[302].start 1754.91284375
transcript.pyannote[302].end 1755.40221875
transcript.pyannote[303].speaker SPEAKER_20
transcript.pyannote[303].start 1759.41846875
transcript.pyannote[303].end 1763.36721875
transcript.pyannote[304].speaker SPEAKER_10
transcript.pyannote[304].start 1762.89471875
transcript.pyannote[304].end 1768.00784375
transcript.pyannote[305].speaker SPEAKER_20
transcript.pyannote[305].start 1767.83909375
transcript.pyannote[305].end 1781.69346875
transcript.pyannote[306].speaker SPEAKER_20
transcript.pyannote[306].start 1782.23346875
transcript.pyannote[306].end 1797.84284375
transcript.pyannote[307].speaker SPEAKER_22
transcript.pyannote[307].start 1798.38284375
transcript.pyannote[307].end 1800.39096875
transcript.pyannote[308].speaker SPEAKER_14
transcript.pyannote[308].start 1800.39096875
transcript.pyannote[308].end 1802.75346875
transcript.pyannote[309].speaker SPEAKER_14
transcript.pyannote[309].start 1803.09096875
transcript.pyannote[309].end 1804.76159375
transcript.pyannote[310].speaker SPEAKER_14
transcript.pyannote[310].start 1805.03159375
transcript.pyannote[310].end 1807.61346875
transcript.pyannote[311].speaker SPEAKER_14
transcript.pyannote[311].start 1808.06909375
transcript.pyannote[311].end 1810.38096875
transcript.pyannote[312].speaker SPEAKER_14
transcript.pyannote[312].start 1810.81971875
transcript.pyannote[312].end 1816.13534375
transcript.pyannote[313].speaker SPEAKER_14
transcript.pyannote[313].start 1816.18596875
transcript.pyannote[313].end 1820.01659375
transcript.pyannote[314].speaker SPEAKER_14
transcript.pyannote[314].start 1820.48909375
transcript.pyannote[314].end 1820.75909375
transcript.pyannote[315].speaker SPEAKER_14
transcript.pyannote[315].start 1821.14721875
transcript.pyannote[315].end 1824.77534375
transcript.pyannote[316].speaker SPEAKER_14
transcript.pyannote[316].start 1825.12971875
transcript.pyannote[316].end 1829.04471875
transcript.pyannote[317].speaker SPEAKER_14
transcript.pyannote[317].start 1829.53409375
transcript.pyannote[317].end 1832.70659375
transcript.pyannote[318].speaker SPEAKER_20
transcript.pyannote[318].start 1832.20034375
transcript.pyannote[318].end 1832.65596875
transcript.pyannote[319].speaker SPEAKER_20
transcript.pyannote[319].start 1832.70659375
transcript.pyannote[319].end 1832.79096875
transcript.pyannote[320].speaker SPEAKER_14
transcript.pyannote[320].start 1833.09471875
transcript.pyannote[320].end 1833.73596875
transcript.pyannote[321].speaker SPEAKER_14
transcript.pyannote[321].start 1834.15784375
transcript.pyannote[321].end 1838.19096875
transcript.pyannote[322].speaker SPEAKER_20
transcript.pyannote[322].start 1835.44034375
transcript.pyannote[322].end 1838.62971875
transcript.pyannote[323].speaker SPEAKER_14
transcript.pyannote[323].start 1838.59596875
transcript.pyannote[323].end 1841.05971875
transcript.pyannote[324].speaker SPEAKER_14
transcript.pyannote[324].start 1841.54909375
transcript.pyannote[324].end 1848.51846875
transcript.pyannote[325].speaker SPEAKER_14
transcript.pyannote[325].start 1848.88971875
transcript.pyannote[325].end 1850.98221875
transcript.pyannote[326].speaker SPEAKER_14
transcript.pyannote[326].start 1851.15096875
transcript.pyannote[326].end 1854.86346875
transcript.pyannote[327].speaker SPEAKER_20
transcript.pyannote[327].start 1853.85096875
transcript.pyannote[327].end 1886.74034375
transcript.pyannote[328].speaker SPEAKER_14
transcript.pyannote[328].start 1860.80346875
transcript.pyannote[328].end 1861.59659375
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 1862.72721875
transcript.pyannote[329].end 1862.76096875
transcript.pyannote[330].speaker SPEAKER_14
transcript.pyannote[330].start 1862.76096875
transcript.pyannote[330].end 1862.96346875
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 1862.96346875
transcript.pyannote[331].end 1863.03096875
transcript.pyannote[332].speaker SPEAKER_15
transcript.pyannote[332].start 1863.03096875
transcript.pyannote[332].end 1863.45284375
transcript.pyannote[333].speaker SPEAKER_15
transcript.pyannote[333].start 1865.44409375
transcript.pyannote[333].end 1866.82784375
transcript.pyannote[334].speaker SPEAKER_15
transcript.pyannote[334].start 1869.76409375
transcript.pyannote[334].end 1870.10159375
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 1870.10159375
transcript.pyannote[335].end 1870.15221875
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 1877.76284375
transcript.pyannote[336].end 1878.03284375
transcript.pyannote[337].speaker SPEAKER_14
transcript.pyannote[337].start 1878.03284375
transcript.pyannote[337].end 1878.69096875
transcript.pyannote[338].speaker SPEAKER_14
transcript.pyannote[338].start 1887.19596875
transcript.pyannote[338].end 1892.07284375
transcript.pyannote[339].speaker SPEAKER_14
transcript.pyannote[339].start 1892.29221875
transcript.pyannote[339].end 1893.87846875
transcript.pyannote[340].speaker SPEAKER_14
transcript.pyannote[340].start 1894.19909375
transcript.pyannote[340].end 1895.92034375
transcript.pyannote[341].speaker SPEAKER_14
transcript.pyannote[341].start 1896.32534375
transcript.pyannote[341].end 1900.00409375
transcript.pyannote[342].speaker SPEAKER_14
transcript.pyannote[342].start 1900.45971875
transcript.pyannote[342].end 1906.55159375
transcript.pyannote[343].speaker SPEAKER_20
transcript.pyannote[343].start 1907.47971875
transcript.pyannote[343].end 1958.76284375
transcript.pyannote[344].speaker SPEAKER_20
transcript.pyannote[344].start 1958.94846875
transcript.pyannote[344].end 1967.57159375
transcript.pyannote[345].speaker SPEAKER_15
transcript.pyannote[345].start 1964.50034375
transcript.pyannote[345].end 1964.63534375
transcript.pyannote[346].speaker SPEAKER_11
transcript.pyannote[346].start 1983.02909375
transcript.pyannote[346].end 1984.42971875
transcript.pyannote[347].speaker SPEAKER_11
transcript.pyannote[347].start 1984.86846875
transcript.pyannote[347].end 1986.74159375
transcript.pyannote[348].speaker SPEAKER_11
transcript.pyannote[348].start 1986.79221875
transcript.pyannote[348].end 1987.88909375
transcript.pyannote[349].speaker SPEAKER_11
transcript.pyannote[349].start 1998.67221875
transcript.pyannote[349].end 2002.31721875
transcript.pyannote[350].speaker SPEAKER_19
transcript.pyannote[350].start 2011.46346875
transcript.pyannote[350].end 2014.53471875
transcript.pyannote[351].speaker SPEAKER_11
transcript.pyannote[351].start 2015.39534375
transcript.pyannote[351].end 2016.77909375
transcript.pyannote[352].speaker SPEAKER_22
transcript.pyannote[352].start 2026.44846875
transcript.pyannote[352].end 2026.95471875
transcript.pyannote[353].speaker SPEAKER_19
transcript.pyannote[353].start 2027.10659375
transcript.pyannote[353].end 2028.23721875
transcript.pyannote[354].speaker SPEAKER_19
transcript.pyannote[354].start 2028.72659375
transcript.pyannote[354].end 2069.88471875
transcript.pyannote[355].speaker SPEAKER_19
transcript.pyannote[355].start 2070.49221875
transcript.pyannote[355].end 2071.18409375
transcript.pyannote[356].speaker SPEAKER_22
transcript.pyannote[356].start 2071.58909375
transcript.pyannote[356].end 2073.07409375
transcript.pyannote[357].speaker SPEAKER_22
transcript.pyannote[357].start 2073.54659375
transcript.pyannote[357].end 2078.81159375
transcript.pyannote[358].speaker SPEAKER_22
transcript.pyannote[358].start 2079.13221875
transcript.pyannote[358].end 2080.21221875
transcript.pyannote[359].speaker SPEAKER_22
transcript.pyannote[359].start 2080.73534375
transcript.pyannote[359].end 2084.58284375
transcript.pyannote[360].speaker SPEAKER_22
transcript.pyannote[360].start 2084.85284375
transcript.pyannote[360].end 2085.98346875
transcript.pyannote[361].speaker SPEAKER_22
transcript.pyannote[361].start 2086.23659375
transcript.pyannote[361].end 2094.43784375
transcript.pyannote[362].speaker SPEAKER_10
transcript.pyannote[362].start 2093.99909375
transcript.pyannote[362].end 2105.42346875
transcript.pyannote[363].speaker SPEAKER_00
transcript.pyannote[363].start 2100.69846875
transcript.pyannote[363].end 2101.79534375
transcript.pyannote[364].speaker SPEAKER_10
transcript.pyannote[364].start 2105.65971875
transcript.pyannote[364].end 2113.20284375
transcript.pyannote[365].speaker SPEAKER_19
transcript.pyannote[365].start 2111.05971875
transcript.pyannote[365].end 2112.91596875
transcript.pyannote[366].speaker SPEAKER_19
transcript.pyannote[366].start 2113.32096875
transcript.pyannote[366].end 2143.13909375
transcript.pyannote[367].speaker SPEAKER_22
transcript.pyannote[367].start 2143.88159375
transcript.pyannote[367].end 2148.08346875
transcript.pyannote[368].speaker SPEAKER_19
transcript.pyannote[368].start 2145.06284375
transcript.pyannote[368].end 2145.77159375
transcript.pyannote[369].speaker SPEAKER_22
transcript.pyannote[369].start 2148.67409375
transcript.pyannote[369].end 2154.34409375
transcript.pyannote[370].speaker SPEAKER_22
transcript.pyannote[370].start 2154.64784375
transcript.pyannote[370].end 2157.87096875
transcript.pyannote[371].speaker SPEAKER_22
transcript.pyannote[371].start 2158.20846875
transcript.pyannote[371].end 2158.56284375
transcript.pyannote[372].speaker SPEAKER_22
transcript.pyannote[372].start 2158.83284375
transcript.pyannote[372].end 2162.39346875
transcript.pyannote[373].speaker SPEAKER_22
transcript.pyannote[373].start 2162.91659375
transcript.pyannote[373].end 2167.70909375
transcript.pyannote[374].speaker SPEAKER_19
transcript.pyannote[374].start 2164.01346875
transcript.pyannote[374].end 2164.80659375
transcript.pyannote[375].speaker SPEAKER_19
transcript.pyannote[375].start 2167.65846875
transcript.pyannote[375].end 2170.07159375
transcript.pyannote[376].speaker SPEAKER_22
transcript.pyannote[376].start 2168.04659375
transcript.pyannote[376].end 2174.57721875
transcript.pyannote[377].speaker SPEAKER_22
transcript.pyannote[377].start 2174.62784375
transcript.pyannote[377].end 2183.99346875
transcript.pyannote[378].speaker SPEAKER_19
transcript.pyannote[378].start 2184.38159375
transcript.pyannote[378].end 2202.13409375
transcript.pyannote[379].speaker SPEAKER_22
transcript.pyannote[379].start 2186.62596875
transcript.pyannote[379].end 2186.79471875
transcript.pyannote[380].speaker SPEAKER_19
transcript.pyannote[380].start 2202.65721875
transcript.pyannote[380].end 2238.70221875
transcript.pyannote[381].speaker SPEAKER_19
transcript.pyannote[381].start 2238.87096875
transcript.pyannote[381].end 2266.83284375
transcript.pyannote[382].speaker SPEAKER_22
transcript.pyannote[382].start 2264.77409375
transcript.pyannote[382].end 2265.76971875
transcript.pyannote[383].speaker SPEAKER_22
transcript.pyannote[383].start 2266.20846875
transcript.pyannote[383].end 2269.16159375
transcript.pyannote[384].speaker SPEAKER_22
transcript.pyannote[384].start 2269.71846875
transcript.pyannote[384].end 2272.24971875
transcript.pyannote[385].speaker SPEAKER_22
transcript.pyannote[385].start 2272.57034375
transcript.pyannote[385].end 2275.59096875
transcript.pyannote[386].speaker SPEAKER_22
transcript.pyannote[386].start 2275.75971875
transcript.pyannote[386].end 2280.21471875
transcript.pyannote[387].speaker SPEAKER_22
transcript.pyannote[387].start 2280.63659375
transcript.pyannote[387].end 2282.40846875
transcript.pyannote[388].speaker SPEAKER_22
transcript.pyannote[388].start 2282.61096875
transcript.pyannote[388].end 2289.83346875
transcript.pyannote[389].speaker SPEAKER_19
transcript.pyannote[389].start 2290.06971875
transcript.pyannote[389].end 2301.64596875
transcript.pyannote[390].speaker SPEAKER_22
transcript.pyannote[390].start 2301.52784375
transcript.pyannote[390].end 2305.00409375
transcript.pyannote[391].speaker SPEAKER_22
transcript.pyannote[391].start 2305.40909375
transcript.pyannote[391].end 2305.51034375
transcript.pyannote[392].speaker SPEAKER_22
transcript.pyannote[392].start 2306.06721875
transcript.pyannote[392].end 2310.30284375
transcript.pyannote[393].speaker SPEAKER_22
transcript.pyannote[393].start 2311.06221875
transcript.pyannote[393].end 2312.59784375
transcript.pyannote[394].speaker SPEAKER_22
transcript.pyannote[394].start 2312.74971875
transcript.pyannote[394].end 2316.00659375
transcript.pyannote[395].speaker SPEAKER_19
transcript.pyannote[395].start 2316.41159375
transcript.pyannote[395].end 2366.36159375
transcript.pyannote[396].speaker SPEAKER_22
transcript.pyannote[396].start 2318.65596875
transcript.pyannote[396].end 2319.12846875
transcript.pyannote[397].speaker SPEAKER_22
transcript.pyannote[397].start 2322.73971875
transcript.pyannote[397].end 2322.97596875
transcript.pyannote[398].speaker SPEAKER_19
transcript.pyannote[398].start 2366.49659375
transcript.pyannote[398].end 2371.15409375
transcript.pyannote[399].speaker SPEAKER_19
transcript.pyannote[399].start 2371.45784375
transcript.pyannote[399].end 2373.68534375
transcript.pyannote[400].speaker SPEAKER_19
transcript.pyannote[400].start 2374.57971875
transcript.pyannote[400].end 2377.76909375
transcript.pyannote[401].speaker SPEAKER_19
transcript.pyannote[401].start 2378.07284375
transcript.pyannote[401].end 2437.52346875
transcript.pyannote[402].speaker SPEAKER_19
transcript.pyannote[402].start 2437.64159375
transcript.pyannote[402].end 2438.29971875
transcript.pyannote[403].speaker SPEAKER_19
transcript.pyannote[403].start 2438.89034375
transcript.pyannote[403].end 2453.75721875
transcript.pyannote[404].speaker SPEAKER_19
transcript.pyannote[404].start 2454.26346875
transcript.pyannote[404].end 2463.83159375
transcript.pyannote[405].speaker SPEAKER_19
transcript.pyannote[405].start 2464.32096875
transcript.pyannote[405].end 2465.75534375
transcript.pyannote[406].speaker SPEAKER_19
transcript.pyannote[406].start 2466.09284375
transcript.pyannote[406].end 2468.96159375
transcript.pyannote[407].speaker SPEAKER_15
transcript.pyannote[407].start 2467.56096875
transcript.pyannote[407].end 2467.64534375
transcript.pyannote[408].speaker SPEAKER_19
transcript.pyannote[408].start 2469.26534375
transcript.pyannote[408].end 2477.11221875
transcript.pyannote[409].speaker SPEAKER_22
transcript.pyannote[409].start 2472.85971875
transcript.pyannote[409].end 2473.38284375
transcript.pyannote[410].speaker SPEAKER_22
transcript.pyannote[410].start 2477.60159375
transcript.pyannote[410].end 2480.30159375
transcript.pyannote[411].speaker SPEAKER_22
transcript.pyannote[411].start 2480.53784375
transcript.pyannote[411].end 2481.65159375
transcript.pyannote[412].speaker SPEAKER_22
transcript.pyannote[412].start 2481.90471875
transcript.pyannote[412].end 2485.95471875
transcript.pyannote[413].speaker SPEAKER_22
transcript.pyannote[413].start 2485.98846875
transcript.pyannote[413].end 2486.02221875
transcript.pyannote[414].speaker SPEAKER_22
transcript.pyannote[414].start 2486.19096875
transcript.pyannote[414].end 2489.70096875
transcript.pyannote[415].speaker SPEAKER_22
transcript.pyannote[415].start 2489.95409375
transcript.pyannote[415].end 2492.26596875
transcript.pyannote[416].speaker SPEAKER_22
transcript.pyannote[416].start 2492.78909375
transcript.pyannote[416].end 2495.11784375
transcript.pyannote[417].speaker SPEAKER_22
transcript.pyannote[417].start 2495.43846875
transcript.pyannote[417].end 2501.39534375
transcript.pyannote[418].speaker SPEAKER_19
transcript.pyannote[418].start 2500.63596875
transcript.pyannote[418].end 2504.24721875
transcript.pyannote[419].speaker SPEAKER_22
transcript.pyannote[419].start 2504.68596875
transcript.pyannote[419].end 2507.77409375
transcript.pyannote[420].speaker SPEAKER_19
transcript.pyannote[420].start 2506.60971875
transcript.pyannote[420].end 2506.96409375
transcript.pyannote[421].speaker SPEAKER_19
transcript.pyannote[421].start 2508.09471875
transcript.pyannote[421].end 2509.91721875
transcript.pyannote[422].speaker SPEAKER_19
transcript.pyannote[422].start 2509.98471875
transcript.pyannote[422].end 2525.98221875
transcript.pyannote[423].speaker SPEAKER_19
transcript.pyannote[423].start 2526.60659375
transcript.pyannote[423].end 2532.91784375
transcript.pyannote[424].speaker SPEAKER_19
transcript.pyannote[424].start 2533.71096875
transcript.pyannote[424].end 2538.84096875
transcript.pyannote[425].speaker SPEAKER_22
transcript.pyannote[425].start 2537.28846875
transcript.pyannote[425].end 2544.89909375
transcript.pyannote[426].speaker SPEAKER_10
transcript.pyannote[426].start 2543.71784375
transcript.pyannote[426].end 2555.49659375
transcript.pyannote[427].speaker SPEAKER_00
transcript.pyannote[427].start 2552.79659375
transcript.pyannote[427].end 2553.16784375
transcript.pyannote[428].speaker SPEAKER_10
transcript.pyannote[428].start 2555.59784375
transcript.pyannote[428].end 2557.20096875
transcript.pyannote[429].speaker SPEAKER_10
transcript.pyannote[429].start 2557.31909375
transcript.pyannote[429].end 2558.82096875
transcript.pyannote[430].speaker SPEAKER_10
transcript.pyannote[430].start 2559.10784375
transcript.pyannote[430].end 2562.36471875
transcript.pyannote[431].speaker SPEAKER_10
transcript.pyannote[431].start 2562.60096875
transcript.pyannote[431].end 2566.02659375
transcript.pyannote[432].speaker SPEAKER_10
transcript.pyannote[432].start 2566.39784375
transcript.pyannote[432].end 2570.90346875
transcript.pyannote[433].speaker SPEAKER_10
transcript.pyannote[433].start 2571.15659375
transcript.pyannote[433].end 2572.96221875
transcript.pyannote[434].speaker SPEAKER_10
transcript.pyannote[434].start 2573.09721875
transcript.pyannote[434].end 2575.35846875
transcript.pyannote[435].speaker SPEAKER_10
transcript.pyannote[435].start 2575.51034375
transcript.pyannote[435].end 2581.06221875
transcript.pyannote[436].speaker SPEAKER_10
transcript.pyannote[436].start 2581.21409375
transcript.pyannote[436].end 2608.01159375
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 2608.18034375
transcript.pyannote[437].end 2618.81159375
transcript.pyannote[438].speaker SPEAKER_10
transcript.pyannote[438].start 2618.86221875
transcript.pyannote[438].end 2619.31784375
transcript.pyannote[439].speaker SPEAKER_10
transcript.pyannote[439].start 2619.92534375
transcript.pyannote[439].end 2627.02971875
transcript.pyannote[440].speaker SPEAKER_07
transcript.pyannote[440].start 2621.76471875
transcript.pyannote[440].end 2621.93346875
transcript.pyannote[441].speaker SPEAKER_19
transcript.pyannote[441].start 2627.02971875
transcript.pyannote[441].end 2627.29971875
transcript.pyannote[442].speaker SPEAKER_19
transcript.pyannote[442].start 2627.75534375
transcript.pyannote[442].end 2629.40909375
transcript.pyannote[443].speaker SPEAKER_19
transcript.pyannote[443].start 2629.52721875
transcript.pyannote[443].end 2642.55471875
transcript.pyannote[444].speaker SPEAKER_10
transcript.pyannote[444].start 2642.21721875
transcript.pyannote[444].end 2647.49909375
transcript.pyannote[445].speaker SPEAKER_19
transcript.pyannote[445].start 2646.43596875
transcript.pyannote[445].end 2647.81971875
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 2647.81971875
transcript.pyannote[446].end 2659.27784375
transcript.pyannote[447].speaker SPEAKER_19
transcript.pyannote[447].start 2648.03909375
transcript.pyannote[447].end 2649.16971875
transcript.pyannote[448].speaker SPEAKER_19
transcript.pyannote[448].start 2651.59971875
transcript.pyannote[448].end 2651.85284375
transcript.pyannote[449].speaker SPEAKER_10
transcript.pyannote[449].start 2659.49721875
transcript.pyannote[449].end 2662.70346875
transcript.pyannote[450].speaker SPEAKER_22
transcript.pyannote[450].start 2660.76284375
transcript.pyannote[450].end 2674.63409375
transcript.pyannote[451].speaker SPEAKER_19
transcript.pyannote[451].start 2671.15784375
transcript.pyannote[451].end 2672.15346875
transcript.pyannote[452].speaker SPEAKER_19
transcript.pyannote[452].start 2673.65534375
transcript.pyannote[452].end 2674.02659375
transcript.pyannote[453].speaker SPEAKER_10
transcript.pyannote[453].start 2674.02659375
transcript.pyannote[453].end 2674.09409375
transcript.pyannote[454].speaker SPEAKER_19
transcript.pyannote[454].start 2674.09409375
transcript.pyannote[454].end 2674.46534375
transcript.pyannote[455].speaker SPEAKER_10
transcript.pyannote[455].start 2674.46534375
transcript.pyannote[455].end 2677.55346875
transcript.pyannote[456].speaker SPEAKER_19
transcript.pyannote[456].start 2674.63409375
transcript.pyannote[456].end 2688.18471875
transcript.pyannote[457].speaker SPEAKER_10
transcript.pyannote[457].start 2687.61096875
transcript.pyannote[457].end 2694.69846875
transcript.pyannote[458].speaker SPEAKER_19
transcript.pyannote[458].start 2692.62284375
transcript.pyannote[458].end 2722.30596875
transcript.pyannote[459].speaker SPEAKER_19
transcript.pyannote[459].start 2723.01471875
transcript.pyannote[459].end 2787.25784375
transcript.pyannote[460].speaker SPEAKER_19
transcript.pyannote[460].start 2787.88221875
transcript.pyannote[460].end 2831.18346875
transcript.pyannote[461].speaker SPEAKER_00
transcript.pyannote[461].start 2792.50596875
transcript.pyannote[461].end 2792.70846875
transcript.pyannote[462].speaker SPEAKER_19
transcript.pyannote[462].start 2831.47034375
transcript.pyannote[462].end 2899.94909375
transcript.pyannote[463].speaker SPEAKER_19
transcript.pyannote[463].start 2900.26971875
transcript.pyannote[463].end 2906.14221875
transcript.pyannote[464].speaker SPEAKER_22
transcript.pyannote[464].start 2906.24346875
transcript.pyannote[464].end 2908.26846875
transcript.pyannote[465].speaker SPEAKER_22
transcript.pyannote[465].start 2908.50471875
transcript.pyannote[465].end 2909.31471875
transcript.pyannote[466].speaker SPEAKER_22
transcript.pyannote[466].start 2909.36534375
transcript.pyannote[466].end 2910.66471875
transcript.pyannote[467].speaker SPEAKER_22
transcript.pyannote[467].start 2910.96846875
transcript.pyannote[467].end 2914.20846875
transcript.pyannote[468].speaker SPEAKER_22
transcript.pyannote[468].start 2914.51221875
transcript.pyannote[468].end 2916.19971875
transcript.pyannote[469].speaker SPEAKER_22
transcript.pyannote[469].start 2917.02659375
transcript.pyannote[469].end 2918.68034375
transcript.pyannote[470].speaker SPEAKER_22
transcript.pyannote[470].start 2919.00096875
transcript.pyannote[470].end 2921.95409375
transcript.pyannote[471].speaker SPEAKER_22
transcript.pyannote[471].start 2922.05534375
transcript.pyannote[471].end 2922.88221875
transcript.pyannote[472].speaker SPEAKER_22
transcript.pyannote[472].start 2923.32096875
transcript.pyannote[472].end 2926.02096875
transcript.pyannote[473].speaker SPEAKER_22
transcript.pyannote[473].start 2926.17284375
transcript.pyannote[473].end 2927.94471875
transcript.pyannote[474].speaker SPEAKER_22
transcript.pyannote[474].start 2928.43409375
transcript.pyannote[474].end 2930.94846875
transcript.pyannote[475].speaker SPEAKER_22
transcript.pyannote[475].start 2934.72846875
transcript.pyannote[475].end 2935.03221875
transcript.pyannote[476].speaker SPEAKER_22
transcript.pyannote[476].start 2935.97721875
transcript.pyannote[476].end 2936.02784375
transcript.pyannote[477].speaker SPEAKER_22
transcript.pyannote[477].start 2936.14596875
transcript.pyannote[477].end 2937.27659375
transcript.pyannote[478].speaker SPEAKER_22
transcript.pyannote[478].start 2938.32284375
transcript.pyannote[478].end 2938.42409375
transcript.pyannote[479].speaker SPEAKER_11
transcript.pyannote[479].start 2952.14346875
transcript.pyannote[479].end 2956.90221875
transcript.pyannote[480].speaker SPEAKER_11
transcript.pyannote[480].start 2967.29721875
transcript.pyannote[480].end 2971.56659375
transcript.pyannote[481].speaker SPEAKER_02
transcript.pyannote[481].start 2981.79284375
transcript.pyannote[481].end 2982.02909375
transcript.pyannote[482].speaker SPEAKER_02
transcript.pyannote[482].start 2983.17659375
transcript.pyannote[482].end 2984.83034375
transcript.pyannote[483].speaker SPEAKER_11
transcript.pyannote[483].start 2985.62346875
transcript.pyannote[483].end 2986.70346875
transcript.pyannote[484].speaker SPEAKER_15
transcript.pyannote[484].start 2988.18846875
transcript.pyannote[484].end 2988.32346875
transcript.pyannote[485].speaker SPEAKER_02
transcript.pyannote[485].start 2995.54596875
transcript.pyannote[485].end 2996.42346875
transcript.pyannote[486].speaker SPEAKER_15
transcript.pyannote[486].start 2995.68096875
transcript.pyannote[486].end 2996.18721875
transcript.pyannote[487].speaker SPEAKER_02
transcript.pyannote[487].start 2997.97596875
transcript.pyannote[487].end 3004.55721875
transcript.pyannote[488].speaker SPEAKER_02
transcript.pyannote[488].start 3005.09721875
transcript.pyannote[488].end 3008.20221875
transcript.pyannote[489].speaker SPEAKER_02
transcript.pyannote[489].start 3008.59034375
transcript.pyannote[489].end 3011.49284375
transcript.pyannote[490].speaker SPEAKER_02
transcript.pyannote[490].start 3011.94846875
transcript.pyannote[490].end 3013.31534375
transcript.pyannote[491].speaker SPEAKER_02
transcript.pyannote[491].start 3013.75409375
transcript.pyannote[491].end 3018.73221875
transcript.pyannote[492].speaker SPEAKER_02
transcript.pyannote[492].start 3019.01909375
transcript.pyannote[492].end 3020.52096875
transcript.pyannote[493].speaker SPEAKER_02
transcript.pyannote[493].start 3020.68971875
transcript.pyannote[493].end 3023.17034375
transcript.pyannote[494].speaker SPEAKER_02
transcript.pyannote[494].start 3023.71034375
transcript.pyannote[494].end 3025.65096875
transcript.pyannote[495].speaker SPEAKER_02
transcript.pyannote[495].start 3025.85346875
transcript.pyannote[495].end 3029.65034375
transcript.pyannote[496].speaker SPEAKER_02
transcript.pyannote[496].start 3029.88659375
transcript.pyannote[496].end 3034.54409375
transcript.pyannote[497].speaker SPEAKER_02
transcript.pyannote[497].start 3034.84784375
transcript.pyannote[497].end 3041.59784375
transcript.pyannote[498].speaker SPEAKER_02
transcript.pyannote[498].start 3041.96909375
transcript.pyannote[498].end 3045.73221875
transcript.pyannote[499].speaker SPEAKER_02
transcript.pyannote[499].start 3046.08659375
transcript.pyannote[499].end 3051.30096875
transcript.pyannote[500].speaker SPEAKER_02
transcript.pyannote[500].start 3051.62159375
transcript.pyannote[500].end 3060.80159375
transcript.pyannote[501].speaker SPEAKER_00
transcript.pyannote[501].start 3059.31659375
transcript.pyannote[501].end 3059.85659375
transcript.pyannote[502].speaker SPEAKER_02
transcript.pyannote[502].start 3061.78034375
transcript.pyannote[502].end 3063.87284375
transcript.pyannote[503].speaker SPEAKER_02
transcript.pyannote[503].start 3064.29471875
transcript.pyannote[503].end 3066.60659375
transcript.pyannote[504].speaker SPEAKER_02
transcript.pyannote[504].start 3067.01159375
transcript.pyannote[504].end 3070.01534375
transcript.pyannote[505].speaker SPEAKER_02
transcript.pyannote[505].start 3070.38659375
transcript.pyannote[505].end 3071.97284375
transcript.pyannote[506].speaker SPEAKER_02
transcript.pyannote[506].start 3072.04034375
transcript.pyannote[506].end 3073.17096875
transcript.pyannote[507].speaker SPEAKER_02
transcript.pyannote[507].start 3073.59284375
transcript.pyannote[507].end 3077.62596875
transcript.pyannote[508].speaker SPEAKER_22
transcript.pyannote[508].start 3075.58409375
transcript.pyannote[508].end 3075.95534375
transcript.pyannote[509].speaker SPEAKER_02
transcript.pyannote[509].start 3077.91284375
transcript.pyannote[509].end 3080.52846875
transcript.pyannote[510].speaker SPEAKER_02
transcript.pyannote[510].start 3081.18659375
transcript.pyannote[510].end 3083.46471875
transcript.pyannote[511].speaker SPEAKER_02
transcript.pyannote[511].start 3083.95409375
transcript.pyannote[511].end 3086.19846875
transcript.pyannote[512].speaker SPEAKER_02
transcript.pyannote[512].start 3086.67096875
transcript.pyannote[512].end 3088.67909375
transcript.pyannote[513].speaker SPEAKER_02
transcript.pyannote[513].start 3088.91534375
transcript.pyannote[513].end 3091.19346875
transcript.pyannote[514].speaker SPEAKER_02
transcript.pyannote[514].start 3091.48034375
transcript.pyannote[514].end 3093.55596875
transcript.pyannote[515].speaker SPEAKER_02
transcript.pyannote[515].start 3093.84284375
transcript.pyannote[515].end 3096.49221875
transcript.pyannote[516].speaker SPEAKER_02
transcript.pyannote[516].start 3097.47096875
transcript.pyannote[516].end 3100.82909375
transcript.pyannote[517].speaker SPEAKER_02
transcript.pyannote[517].start 3101.11596875
transcript.pyannote[517].end 3101.74034375
transcript.pyannote[518].speaker SPEAKER_02
transcript.pyannote[518].start 3101.94284375
transcript.pyannote[518].end 3103.54596875
transcript.pyannote[519].speaker SPEAKER_02
transcript.pyannote[519].start 3103.93409375
transcript.pyannote[519].end 3107.07284375
transcript.pyannote[520].speaker SPEAKER_02
transcript.pyannote[520].start 3107.39346875
transcript.pyannote[520].end 3111.20721875
transcript.pyannote[521].speaker SPEAKER_02
transcript.pyannote[521].start 3111.44346875
transcript.pyannote[521].end 3111.98346875
transcript.pyannote[522].speaker SPEAKER_02
transcript.pyannote[522].start 3112.25346875
transcript.pyannote[522].end 3118.00784375
transcript.pyannote[523].speaker SPEAKER_02
transcript.pyannote[523].start 3118.73346875
transcript.pyannote[523].end 3120.72471875
transcript.pyannote[524].speaker SPEAKER_02
transcript.pyannote[524].start 3121.02846875
transcript.pyannote[524].end 3124.35284375
transcript.pyannote[525].speaker SPEAKER_02
transcript.pyannote[525].start 3124.62284375
transcript.pyannote[525].end 3128.35221875
transcript.pyannote[526].speaker SPEAKER_02
transcript.pyannote[526].start 3128.62221875
transcript.pyannote[526].end 3128.95971875
transcript.pyannote[527].speaker SPEAKER_02
transcript.pyannote[527].start 3129.44909375
transcript.pyannote[527].end 3134.64659375
transcript.pyannote[528].speaker SPEAKER_02
transcript.pyannote[528].start 3134.95034375
transcript.pyannote[528].end 3137.59971875
transcript.pyannote[529].speaker SPEAKER_02
transcript.pyannote[529].start 3137.80221875
transcript.pyannote[529].end 3140.75534375
transcript.pyannote[530].speaker SPEAKER_02
transcript.pyannote[530].start 3140.97471875
transcript.pyannote[530].end 3143.64096875
transcript.pyannote[531].speaker SPEAKER_02
transcript.pyannote[531].start 3143.99534375
transcript.pyannote[531].end 3146.07096875
transcript.pyannote[532].speaker SPEAKER_02
transcript.pyannote[532].start 3146.40846875
transcript.pyannote[532].end 3149.86784375
transcript.pyannote[533].speaker SPEAKER_02
transcript.pyannote[533].start 3150.00284375
transcript.pyannote[533].end 3151.53846875
transcript.pyannote[534].speaker SPEAKER_02
transcript.pyannote[534].start 3151.82534375
transcript.pyannote[534].end 3154.86284375
transcript.pyannote[535].speaker SPEAKER_02
transcript.pyannote[535].start 3155.16659375
transcript.pyannote[535].end 3158.55846875
transcript.pyannote[536].speaker SPEAKER_02
transcript.pyannote[536].start 3158.96346875
transcript.pyannote[536].end 3167.82284375
transcript.pyannote[537].speaker SPEAKER_02
transcript.pyannote[537].start 3168.02534375
transcript.pyannote[537].end 3171.29909375
transcript.pyannote[538].speaker SPEAKER_02
transcript.pyannote[538].start 3171.65346875
transcript.pyannote[538].end 3176.61471875
transcript.pyannote[539].speaker SPEAKER_02
transcript.pyannote[539].start 3177.12096875
transcript.pyannote[539].end 3180.95159375
transcript.pyannote[540].speaker SPEAKER_02
transcript.pyannote[540].start 3181.20471875
transcript.pyannote[540].end 3183.68534375
transcript.pyannote[541].speaker SPEAKER_02
transcript.pyannote[541].start 3183.95534375
transcript.pyannote[541].end 3184.39409375
transcript.pyannote[542].speaker SPEAKER_02
transcript.pyannote[542].start 3184.81596875
transcript.pyannote[542].end 3187.49909375
transcript.pyannote[543].speaker SPEAKER_02
transcript.pyannote[543].start 3187.75221875
transcript.pyannote[543].end 3189.05159375
transcript.pyannote[544].speaker SPEAKER_02
transcript.pyannote[544].start 3189.40596875
transcript.pyannote[544].end 3190.03034375
transcript.pyannote[545].speaker SPEAKER_02
transcript.pyannote[545].start 3190.21596875
transcript.pyannote[545].end 3192.93284375
transcript.pyannote[546].speaker SPEAKER_02
transcript.pyannote[546].start 3193.10159375
transcript.pyannote[546].end 3193.84409375
transcript.pyannote[547].speaker SPEAKER_02
transcript.pyannote[547].start 3194.23221875
transcript.pyannote[547].end 3195.34596875
transcript.pyannote[548].speaker SPEAKER_02
transcript.pyannote[548].start 3195.43034375
transcript.pyannote[548].end 3196.40909375
transcript.pyannote[549].speaker SPEAKER_02
transcript.pyannote[549].start 3196.66221875
transcript.pyannote[549].end 3196.99971875
transcript.pyannote[550].speaker SPEAKER_02
transcript.pyannote[550].start 3197.69159375
transcript.pyannote[550].end 3202.12971875
transcript.pyannote[551].speaker SPEAKER_02
transcript.pyannote[551].start 3202.45034375
transcript.pyannote[551].end 3205.69034375
transcript.pyannote[552].speaker SPEAKER_02
transcript.pyannote[552].start 3206.14596875
transcript.pyannote[552].end 3208.42409375
transcript.pyannote[553].speaker SPEAKER_02
transcript.pyannote[553].start 3208.71096875
transcript.pyannote[553].end 3211.96784375
transcript.pyannote[554].speaker SPEAKER_02
transcript.pyannote[554].start 3212.38971875
transcript.pyannote[554].end 3214.44846875
transcript.pyannote[555].speaker SPEAKER_02
transcript.pyannote[555].start 3214.83659375
transcript.pyannote[555].end 3215.74784375
transcript.pyannote[556].speaker SPEAKER_02
transcript.pyannote[556].start 3215.88284375
transcript.pyannote[556].end 3219.88221875
transcript.pyannote[557].speaker SPEAKER_02
transcript.pyannote[557].start 3220.30409375
transcript.pyannote[557].end 3223.13909375
transcript.pyannote[558].speaker SPEAKER_02
transcript.pyannote[558].start 3223.52721875
transcript.pyannote[558].end 3223.86471875
transcript.pyannote[559].speaker SPEAKER_02
transcript.pyannote[559].start 3224.84346875
transcript.pyannote[559].end 3232.36971875
transcript.pyannote[560].speaker SPEAKER_02
transcript.pyannote[560].start 3233.23034375
transcript.pyannote[560].end 3238.51221875
transcript.pyannote[561].speaker SPEAKER_02
transcript.pyannote[561].start 3238.84971875
transcript.pyannote[561].end 3239.15346875
transcript.pyannote[562].speaker SPEAKER_02
transcript.pyannote[562].start 3239.65971875
transcript.pyannote[562].end 3243.49034375
transcript.pyannote[563].speaker SPEAKER_02
transcript.pyannote[563].start 3243.67596875
transcript.pyannote[563].end 3245.26221875
transcript.pyannote[564].speaker SPEAKER_02
transcript.pyannote[564].start 3245.58284375
transcript.pyannote[564].end 3248.89034375
transcript.pyannote[565].speaker SPEAKER_02
transcript.pyannote[565].start 3249.36284375
transcript.pyannote[565].end 3252.01221875
transcript.pyannote[566].speaker SPEAKER_02
transcript.pyannote[566].start 3252.48471875
transcript.pyannote[566].end 3254.44221875
transcript.pyannote[567].speaker SPEAKER_02
transcript.pyannote[567].start 3254.66159375
transcript.pyannote[567].end 3257.42909375
transcript.pyannote[568].speaker SPEAKER_02
transcript.pyannote[568].start 3257.78346875
transcript.pyannote[568].end 3259.75784375
transcript.pyannote[569].speaker SPEAKER_02
transcript.pyannote[569].start 3259.96034375
transcript.pyannote[569].end 3262.37346875
transcript.pyannote[570].speaker SPEAKER_02
transcript.pyannote[570].start 3262.52534375
transcript.pyannote[570].end 3266.74409375
transcript.pyannote[571].speaker SPEAKER_02
transcript.pyannote[571].start 3267.11534375
transcript.pyannote[571].end 3270.37221875
transcript.pyannote[572].speaker SPEAKER_02
transcript.pyannote[572].start 3270.64221875
transcript.pyannote[572].end 3273.44346875
transcript.pyannote[573].speaker SPEAKER_02
transcript.pyannote[573].start 3273.61221875
transcript.pyannote[573].end 3274.15221875
transcript.pyannote[574].speaker SPEAKER_02
transcript.pyannote[574].start 3274.57409375
transcript.pyannote[574].end 3277.88159375
transcript.pyannote[575].speaker SPEAKER_02
transcript.pyannote[575].start 3278.69159375
transcript.pyannote[575].end 3278.84346875
transcript.pyannote[576].speaker SPEAKER_02
transcript.pyannote[576].start 3279.19784375
transcript.pyannote[576].end 3282.21846875
transcript.pyannote[577].speaker SPEAKER_02
transcript.pyannote[577].start 3282.55596875
transcript.pyannote[577].end 3287.36534375
transcript.pyannote[578].speaker SPEAKER_02
transcript.pyannote[578].start 3287.97284375
transcript.pyannote[578].end 3289.13721875
transcript.pyannote[579].speaker SPEAKER_02
transcript.pyannote[579].start 3289.40721875
transcript.pyannote[579].end 3290.45346875
transcript.pyannote[580].speaker SPEAKER_02
transcript.pyannote[580].start 3291.12846875
transcript.pyannote[580].end 3292.54596875
transcript.pyannote[581].speaker SPEAKER_02
transcript.pyannote[581].start 3292.81596875
transcript.pyannote[581].end 3293.18721875
transcript.pyannote[582].speaker SPEAKER_02
transcript.pyannote[582].start 3293.38971875
transcript.pyannote[582].end 3293.91284375
transcript.pyannote[583].speaker SPEAKER_02
transcript.pyannote[583].start 3294.21659375
transcript.pyannote[583].end 3297.81096875
transcript.pyannote[584].speaker SPEAKER_02
transcript.pyannote[584].start 3298.11471875
transcript.pyannote[584].end 3299.71784375
transcript.pyannote[585].speaker SPEAKER_02
transcript.pyannote[585].start 3300.00471875
transcript.pyannote[585].end 3302.40096875
transcript.pyannote[586].speaker SPEAKER_02
transcript.pyannote[586].start 3302.89034375
transcript.pyannote[586].end 3306.29909375
transcript.pyannote[587].speaker SPEAKER_02
transcript.pyannote[587].start 3307.44659375
transcript.pyannote[587].end 3307.81784375
transcript.pyannote[588].speaker SPEAKER_02
transcript.pyannote[588].start 3308.49284375
transcript.pyannote[588].end 3313.53846875
transcript.pyannote[589].speaker SPEAKER_02
transcript.pyannote[589].start 3313.92659375
transcript.pyannote[589].end 3315.93471875
transcript.pyannote[590].speaker SPEAKER_02
transcript.pyannote[590].start 3316.50846875
transcript.pyannote[590].end 3317.70659375
transcript.pyannote[591].speaker SPEAKER_02
transcript.pyannote[591].start 3318.28034375
transcript.pyannote[591].end 3320.62596875
transcript.pyannote[592].speaker SPEAKER_02
transcript.pyannote[592].start 3321.06471875
transcript.pyannote[592].end 3325.58721875
transcript.pyannote[593].speaker SPEAKER_02
transcript.pyannote[593].start 3325.82346875
transcript.pyannote[593].end 3328.55721875
transcript.pyannote[594].speaker SPEAKER_22
transcript.pyannote[594].start 3327.46034375
transcript.pyannote[594].end 3334.24409375
transcript.pyannote[595].speaker SPEAKER_02
transcript.pyannote[595].start 3332.40471875
transcript.pyannote[595].end 3332.99534375
transcript.pyannote[596].speaker SPEAKER_02
transcript.pyannote[596].start 3333.65346875
transcript.pyannote[596].end 3337.85534375
transcript.pyannote[597].speaker SPEAKER_10
transcript.pyannote[597].start 3335.42534375
transcript.pyannote[597].end 3338.54721875
transcript.pyannote[598].speaker SPEAKER_10
transcript.pyannote[598].start 3338.95221875
transcript.pyannote[598].end 3350.68034375
transcript.pyannote[599].speaker SPEAKER_02
transcript.pyannote[599].start 3343.05284375
transcript.pyannote[599].end 3343.40721875
transcript.pyannote[600].speaker SPEAKER_00
transcript.pyannote[600].start 3343.40721875
transcript.pyannote[600].end 3343.47471875
transcript.pyannote[601].speaker SPEAKER_10
transcript.pyannote[601].start 3351.10221875
transcript.pyannote[601].end 3353.71784375
transcript.pyannote[602].speaker SPEAKER_10
transcript.pyannote[602].start 3353.81909375
transcript.pyannote[602].end 3361.75034375
transcript.pyannote[603].speaker SPEAKER_02
transcript.pyannote[603].start 3361.05846875
transcript.pyannote[603].end 3363.65721875
transcript.pyannote[604].speaker SPEAKER_02
transcript.pyannote[604].start 3363.92721875
transcript.pyannote[604].end 3367.03221875
transcript.pyannote[605].speaker SPEAKER_02
transcript.pyannote[605].start 3367.38659375
transcript.pyannote[605].end 3368.46659375
transcript.pyannote[606].speaker SPEAKER_02
transcript.pyannote[606].start 3369.09096875
transcript.pyannote[606].end 3386.60721875
transcript.pyannote[607].speaker SPEAKER_02
transcript.pyannote[607].start 3386.87721875
transcript.pyannote[607].end 3387.45096875
transcript.pyannote[608].speaker SPEAKER_10
transcript.pyannote[608].start 3387.55221875
transcript.pyannote[608].end 3391.83846875
transcript.pyannote[609].speaker SPEAKER_10
transcript.pyannote[609].start 3392.26034375
transcript.pyannote[609].end 3396.32721875
transcript.pyannote[610].speaker SPEAKER_02
transcript.pyannote[610].start 3392.64846875
transcript.pyannote[610].end 3393.91409375
transcript.pyannote[611].speaker SPEAKER_10
transcript.pyannote[611].start 3396.64784375
transcript.pyannote[611].end 3400.15784375
transcript.pyannote[612].speaker SPEAKER_02
transcript.pyannote[612].start 3398.94284375
transcript.pyannote[612].end 3404.68034375
transcript.pyannote[613].speaker SPEAKER_10
transcript.pyannote[613].start 3400.30971875
transcript.pyannote[613].end 3401.18721875
transcript.pyannote[614].speaker SPEAKER_02
transcript.pyannote[614].start 3404.89971875
transcript.pyannote[614].end 3412.22346875
transcript.pyannote[615].speaker SPEAKER_11
transcript.pyannote[615].start 3407.02596875
transcript.pyannote[615].end 3409.65846875
transcript.pyannote[616].speaker SPEAKER_02
transcript.pyannote[616].start 3412.59471875
transcript.pyannote[616].end 3414.18096875
transcript.pyannote[617].speaker SPEAKER_10
transcript.pyannote[617].start 3414.43409375
transcript.pyannote[617].end 3418.60221875
transcript.pyannote[618].speaker SPEAKER_02
transcript.pyannote[618].start 3416.08784375
transcript.pyannote[618].end 3417.97784375
transcript.pyannote[619].speaker SPEAKER_11
transcript.pyannote[619].start 3417.97784375
transcript.pyannote[619].end 3420.59346875
transcript.pyannote[620].speaker SPEAKER_10
transcript.pyannote[620].start 3419.90159375
transcript.pyannote[620].end 3420.35721875
transcript.pyannote[621].speaker SPEAKER_11
transcript.pyannote[621].start 3420.81284375
transcript.pyannote[621].end 3425.43659375
transcript.pyannote[622].speaker SPEAKER_11
transcript.pyannote[622].start 3425.45346875
transcript.pyannote[622].end 3425.58846875
transcript.pyannote[623].speaker SPEAKER_00
transcript.pyannote[623].start 3425.58846875
transcript.pyannote[623].end 3425.67284375
transcript.pyannote[624].speaker SPEAKER_11
transcript.pyannote[624].start 3425.67284375
transcript.pyannote[624].end 3426.34784375
transcript.pyannote[625].speaker SPEAKER_00
transcript.pyannote[625].start 3425.72346875
transcript.pyannote[625].end 3425.95971875
transcript.pyannote[626].speaker SPEAKER_10
transcript.pyannote[626].start 3425.95971875
transcript.pyannote[626].end 3426.36471875
transcript.pyannote[627].speaker SPEAKER_00
transcript.pyannote[627].start 3426.36471875
transcript.pyannote[627].end 3426.44909375
transcript.pyannote[628].speaker SPEAKER_10
transcript.pyannote[628].start 3426.44909375
transcript.pyannote[628].end 3428.35596875
transcript.pyannote[629].speaker SPEAKER_00
transcript.pyannote[629].start 3426.56721875
transcript.pyannote[629].end 3429.68909375
transcript.pyannote[630].speaker SPEAKER_00
transcript.pyannote[630].start 3430.09409375
transcript.pyannote[630].end 3430.11096875
transcript.pyannote[631].speaker SPEAKER_10
transcript.pyannote[631].start 3430.11096875
transcript.pyannote[631].end 3430.81971875
transcript.pyannote[632].speaker SPEAKER_00
transcript.pyannote[632].start 3430.33034375
transcript.pyannote[632].end 3430.34721875
transcript.pyannote[633].speaker SPEAKER_02
transcript.pyannote[633].start 3430.34721875
transcript.pyannote[633].end 3440.79284375
transcript.pyannote[634].speaker SPEAKER_00
transcript.pyannote[634].start 3430.81971875
transcript.pyannote[634].end 3430.97159375
transcript.pyannote[635].speaker SPEAKER_11
transcript.pyannote[635].start 3431.51159375
transcript.pyannote[635].end 3431.64659375
transcript.pyannote[636].speaker SPEAKER_10
transcript.pyannote[636].start 3431.64659375
transcript.pyannote[636].end 3431.76471875
transcript.pyannote[637].speaker SPEAKER_00
transcript.pyannote[637].start 3431.76471875
transcript.pyannote[637].end 3431.83221875
transcript.pyannote[638].speaker SPEAKER_10
transcript.pyannote[638].start 3431.83221875
transcript.pyannote[638].end 3431.86596875
transcript.pyannote[639].speaker SPEAKER_11
transcript.pyannote[639].start 3431.86596875
transcript.pyannote[639].end 3431.96721875
transcript.pyannote[640].speaker SPEAKER_00
transcript.pyannote[640].start 3431.96721875
transcript.pyannote[640].end 3432.08534375
transcript.pyannote[641].speaker SPEAKER_10
transcript.pyannote[641].start 3432.97971875
transcript.pyannote[641].end 3433.03034375
transcript.pyannote[642].speaker SPEAKER_00
transcript.pyannote[642].start 3433.03034375
transcript.pyannote[642].end 3433.78971875
transcript.pyannote[643].speaker SPEAKER_00
transcript.pyannote[643].start 3440.23596875
transcript.pyannote[643].end 3456.70596875
transcript.pyannote[644].speaker SPEAKER_10
transcript.pyannote[644].start 3455.92971875
transcript.pyannote[644].end 3463.27034375
transcript.pyannote[645].speaker SPEAKER_02
transcript.pyannote[645].start 3462.15659375
transcript.pyannote[645].end 3486.77721875
transcript.pyannote[646].speaker SPEAKER_10
transcript.pyannote[646].start 3463.79346875
transcript.pyannote[646].end 3464.78909375
transcript.pyannote[647].speaker SPEAKER_00
transcript.pyannote[647].start 3486.94596875
transcript.pyannote[647].end 3493.98284375
transcript.pyannote[648].speaker SPEAKER_10
transcript.pyannote[648].start 3493.67909375
transcript.pyannote[648].end 3494.06721875
transcript.pyannote[649].speaker SPEAKER_00
transcript.pyannote[649].start 3494.06721875
transcript.pyannote[649].end 3494.30346875
transcript.pyannote[650].speaker SPEAKER_10
transcript.pyannote[650].start 3494.30346875
transcript.pyannote[650].end 3496.53096875
transcript.pyannote[651].speaker SPEAKER_00
transcript.pyannote[651].start 3494.38784375
transcript.pyannote[651].end 3494.79284375
transcript.pyannote[652].speaker SPEAKER_02
transcript.pyannote[652].start 3497.20596875
transcript.pyannote[652].end 3499.61909375
transcript.pyannote[653].speaker SPEAKER_10
transcript.pyannote[653].start 3498.96096875
transcript.pyannote[653].end 3500.64846875
transcript.pyannote[654].speaker SPEAKER_02
transcript.pyannote[654].start 3500.76659375
transcript.pyannote[654].end 3511.61721875
transcript.pyannote[655].speaker SPEAKER_10
transcript.pyannote[655].start 3503.19659375
transcript.pyannote[655].end 3503.75346875
transcript.pyannote[656].speaker SPEAKER_10
transcript.pyannote[656].start 3507.14534375
transcript.pyannote[656].end 3507.58409375
transcript.pyannote[657].speaker SPEAKER_10
transcript.pyannote[657].start 3509.62596875
transcript.pyannote[657].end 3510.30096875
transcript.pyannote[658].speaker SPEAKER_10
transcript.pyannote[658].start 3510.77346875
transcript.pyannote[658].end 3516.54471875
transcript.pyannote[659].speaker SPEAKER_02
transcript.pyannote[659].start 3516.25784375
transcript.pyannote[659].end 3525.55596875
transcript.pyannote[660].speaker SPEAKER_10
transcript.pyannote[660].start 3519.05909375
transcript.pyannote[660].end 3519.85221875
transcript.pyannote[661].speaker SPEAKER_02
transcript.pyannote[661].start 3525.89346875
transcript.pyannote[661].end 3542.02596875
transcript.pyannote[662].speaker SPEAKER_02
transcript.pyannote[662].start 3542.22846875
transcript.pyannote[662].end 3546.19409375
transcript.pyannote[663].speaker SPEAKER_02
transcript.pyannote[663].start 3546.29534375
transcript.pyannote[663].end 3551.40846875
transcript.pyannote[664].speaker SPEAKER_02
transcript.pyannote[664].start 3552.37034375
transcript.pyannote[664].end 3553.41659375
transcript.pyannote[665].speaker SPEAKER_00
transcript.pyannote[665].start 3554.41221875
transcript.pyannote[665].end 3564.09846875
transcript.pyannote[666].speaker SPEAKER_00
transcript.pyannote[666].start 3564.55409375
transcript.pyannote[666].end 3566.22471875
transcript.pyannote[667].speaker SPEAKER_02
transcript.pyannote[667].start 3565.70159375
transcript.pyannote[667].end 3567.22034375
transcript.pyannote[668].speaker SPEAKER_00
transcript.pyannote[668].start 3567.28784375
transcript.pyannote[668].end 3571.70909375
transcript.pyannote[669].speaker SPEAKER_02
transcript.pyannote[669].start 3572.08034375
transcript.pyannote[669].end 3572.78909375
transcript.pyannote[670].speaker SPEAKER_00
transcript.pyannote[670].start 3572.62034375
transcript.pyannote[670].end 3572.87346875
transcript.pyannote[671].speaker SPEAKER_02
transcript.pyannote[671].start 3573.10971875
transcript.pyannote[671].end 3576.88971875
transcript.pyannote[672].speaker SPEAKER_02
transcript.pyannote[672].start 3577.10909375
transcript.pyannote[672].end 3578.83034375
transcript.pyannote[673].speaker SPEAKER_02
transcript.pyannote[673].start 3579.10034375
transcript.pyannote[673].end 3580.41659375
transcript.pyannote[674].speaker SPEAKER_02
transcript.pyannote[674].start 3581.37846875
transcript.pyannote[674].end 3582.50909375
transcript.pyannote[675].speaker SPEAKER_02
transcript.pyannote[675].start 3582.67784375
transcript.pyannote[675].end 3588.83721875
transcript.pyannote[676].speaker SPEAKER_02
transcript.pyannote[676].start 3588.85409375
transcript.pyannote[676].end 3593.59596875
transcript.pyannote[677].speaker SPEAKER_02
transcript.pyannote[677].start 3595.62096875
transcript.pyannote[677].end 3596.05971875
transcript.pyannote[678].speaker SPEAKER_10
transcript.pyannote[678].start 3596.05971875
transcript.pyannote[678].end 3604.02471875
transcript.pyannote[679].speaker SPEAKER_22
transcript.pyannote[679].start 3600.29534375
transcript.pyannote[679].end 3602.79284375
transcript.pyannote[680].speaker SPEAKER_22
transcript.pyannote[680].start 3604.44659375
transcript.pyannote[680].end 3606.80909375
transcript.pyannote[681].speaker SPEAKER_10
transcript.pyannote[681].start 3605.72909375
transcript.pyannote[681].end 3608.22659375
transcript.pyannote[682].speaker SPEAKER_22
transcript.pyannote[682].start 3607.19721875
transcript.pyannote[682].end 3608.02409375
transcript.pyannote[683].speaker SPEAKER_02
transcript.pyannote[683].start 3608.02409375
transcript.pyannote[683].end 3608.78346875
transcript.pyannote[684].speaker SPEAKER_22
transcript.pyannote[684].start 3608.22659375
transcript.pyannote[684].end 3608.32784375
transcript.pyannote[685].speaker SPEAKER_10
transcript.pyannote[685].start 3608.32784375
transcript.pyannote[685].end 3608.36159375
transcript.pyannote[686].speaker SPEAKER_22
transcript.pyannote[686].start 3608.36159375
transcript.pyannote[686].end 3608.46284375
transcript.pyannote[687].speaker SPEAKER_10
transcript.pyannote[687].start 3608.46284375
transcript.pyannote[687].end 3608.80034375
transcript.pyannote[688].speaker SPEAKER_22
transcript.pyannote[688].start 3608.78346875
transcript.pyannote[688].end 3608.81721875
transcript.pyannote[689].speaker SPEAKER_02
transcript.pyannote[689].start 3608.80034375
transcript.pyannote[689].end 3609.01971875
transcript.pyannote[690].speaker SPEAKER_14
transcript.pyannote[690].start 3609.01971875
transcript.pyannote[690].end 3609.03659375
transcript.pyannote[691].speaker SPEAKER_02
transcript.pyannote[691].start 3609.03659375
transcript.pyannote[691].end 3609.55971875
transcript.pyannote[692].speaker SPEAKER_14
transcript.pyannote[692].start 3609.55971875
transcript.pyannote[692].end 3609.64409375
transcript.pyannote[693].speaker SPEAKER_02
transcript.pyannote[693].start 3609.64409375
transcript.pyannote[693].end 3609.69471875
transcript.pyannote[694].speaker SPEAKER_10
transcript.pyannote[694].start 3609.69471875
transcript.pyannote[694].end 3611.24721875
transcript.pyannote[695].speaker SPEAKER_14
transcript.pyannote[695].start 3609.72846875
transcript.pyannote[695].end 3609.76221875
transcript.pyannote[696].speaker SPEAKER_02
transcript.pyannote[696].start 3609.76221875
transcript.pyannote[696].end 3609.79596875
transcript.pyannote[697].speaker SPEAKER_22
transcript.pyannote[697].start 3609.79596875
transcript.pyannote[697].end 3609.84659375
transcript.pyannote[698].speaker SPEAKER_02
transcript.pyannote[698].start 3609.84659375
transcript.pyannote[698].end 3609.86346875
transcript.pyannote[699].speaker SPEAKER_22
transcript.pyannote[699].start 3609.86346875
transcript.pyannote[699].end 3609.88034375
transcript.pyannote[700].speaker SPEAKER_14
transcript.pyannote[700].start 3609.88034375
transcript.pyannote[700].end 3610.08284375
transcript.pyannote[701].speaker SPEAKER_02
transcript.pyannote[701].start 3611.07846875
transcript.pyannote[701].end 3612.27659375
transcript.pyannote[702].speaker SPEAKER_02
transcript.pyannote[702].start 3613.06971875
transcript.pyannote[702].end 3623.97096875
transcript.pyannote[703].speaker SPEAKER_10
transcript.pyannote[703].start 3622.26659375
transcript.pyannote[703].end 3623.48159375
transcript.pyannote[704].speaker SPEAKER_10
transcript.pyannote[704].start 3624.44346875
transcript.pyannote[704].end 3630.14721875
transcript.pyannote[705].speaker SPEAKER_02
transcript.pyannote[705].start 3628.59471875
transcript.pyannote[705].end 3631.96971875
transcript.pyannote[706].speaker SPEAKER_10
transcript.pyannote[706].start 3630.77159375
transcript.pyannote[706].end 3634.21409375
transcript.pyannote[707].speaker SPEAKER_14
transcript.pyannote[707].start 3633.85971875
transcript.pyannote[707].end 3639.63096875
transcript.pyannote[708].speaker SPEAKER_14
transcript.pyannote[708].start 3640.06971875
transcript.pyannote[708].end 3642.24659375
transcript.pyannote[709].speaker SPEAKER_14
transcript.pyannote[709].start 3642.63471875
transcript.pyannote[709].end 3643.39409375
transcript.pyannote[710].speaker SPEAKER_02
transcript.pyannote[710].start 3643.64721875
transcript.pyannote[710].end 3656.43846875
transcript.pyannote[711].speaker SPEAKER_14
transcript.pyannote[711].start 3644.44034375
transcript.pyannote[711].end 3644.84534375
transcript.pyannote[712].speaker SPEAKER_14
transcript.pyannote[712].start 3647.17409375
transcript.pyannote[712].end 3647.27534375
transcript.pyannote[713].speaker SPEAKER_17
transcript.pyannote[713].start 3647.27534375
transcript.pyannote[713].end 3647.61284375
transcript.pyannote[714].speaker SPEAKER_15
transcript.pyannote[714].start 3647.61284375
transcript.pyannote[714].end 3647.66346875
transcript.pyannote[715].speaker SPEAKER_17
transcript.pyannote[715].start 3647.66346875
transcript.pyannote[715].end 3647.71409375
transcript.pyannote[716].speaker SPEAKER_17
transcript.pyannote[716].start 3647.78159375
transcript.pyannote[716].end 3647.81534375
transcript.pyannote[717].speaker SPEAKER_15
transcript.pyannote[717].start 3650.41409375
transcript.pyannote[717].end 3650.43096875
transcript.pyannote[718].speaker SPEAKER_17
transcript.pyannote[718].start 3650.43096875
transcript.pyannote[718].end 3650.86971875
transcript.pyannote[719].speaker SPEAKER_17
transcript.pyannote[719].start 3650.90346875
transcript.pyannote[719].end 3650.93721875
transcript.pyannote[720].speaker SPEAKER_15
transcript.pyannote[720].start 3650.93721875
transcript.pyannote[720].end 3650.97096875
transcript.pyannote[721].speaker SPEAKER_15
transcript.pyannote[721].start 3655.20659375
transcript.pyannote[721].end 3655.47659375
transcript.pyannote[722].speaker SPEAKER_02
transcript.pyannote[722].start 3657.07971875
transcript.pyannote[722].end 3674.47784375
transcript.pyannote[723].speaker SPEAKER_04
transcript.pyannote[723].start 3663.55971875
transcript.pyannote[723].end 3663.96471875
transcript.pyannote[724].speaker SPEAKER_02
transcript.pyannote[724].start 3674.61284375
transcript.pyannote[724].end 3675.92909375
transcript.pyannote[725].speaker SPEAKER_02
transcript.pyannote[725].start 3676.11471875
transcript.pyannote[725].end 3680.90721875
transcript.pyannote[726].speaker SPEAKER_02
transcript.pyannote[726].start 3681.10971875
transcript.pyannote[726].end 3682.67909375
transcript.pyannote[727].speaker SPEAKER_02
transcript.pyannote[727].start 3682.99971875
transcript.pyannote[727].end 3686.62784375
transcript.pyannote[728].speaker SPEAKER_14
transcript.pyannote[728].start 3686.79659375
transcript.pyannote[728].end 3696.41534375
transcript.pyannote[729].speaker SPEAKER_02
transcript.pyannote[729].start 3688.83846875
transcript.pyannote[729].end 3689.29409375
transcript.pyannote[730].speaker SPEAKER_02
transcript.pyannote[730].start 3695.52096875
transcript.pyannote[730].end 3699.65534375
transcript.pyannote[731].speaker SPEAKER_02
transcript.pyannote[731].start 3700.06034375
transcript.pyannote[731].end 3700.97159375
transcript.pyannote[732].speaker SPEAKER_22
transcript.pyannote[732].start 3700.97159375
transcript.pyannote[732].end 3707.92409375
transcript.pyannote[733].speaker SPEAKER_22
transcript.pyannote[733].start 3708.27846875
transcript.pyannote[733].end 3710.87721875
transcript.pyannote[734].speaker SPEAKER_22
transcript.pyannote[734].start 3711.28221875
transcript.pyannote[734].end 3717.22221875
transcript.pyannote[735].speaker SPEAKER_22
transcript.pyannote[735].start 3717.62721875
transcript.pyannote[735].end 3722.94284375
transcript.pyannote[736].speaker SPEAKER_14
transcript.pyannote[736].start 3721.44096875
transcript.pyannote[736].end 3728.15721875
transcript.pyannote[737].speaker SPEAKER_22
transcript.pyannote[737].start 3724.63034375
transcript.pyannote[737].end 3725.03534375
transcript.pyannote[738].speaker SPEAKER_02
transcript.pyannote[738].start 3725.03534375
transcript.pyannote[738].end 3725.44034375
transcript.pyannote[739].speaker SPEAKER_02
transcript.pyannote[739].start 3728.52846875
transcript.pyannote[739].end 3738.04596875
transcript.pyannote[740].speaker SPEAKER_14
transcript.pyannote[740].start 3732.20721875
transcript.pyannote[740].end 3732.25784375
transcript.pyannote[741].speaker SPEAKER_14
transcript.pyannote[741].start 3732.49409375
transcript.pyannote[741].end 3732.54471875
transcript.pyannote[742].speaker SPEAKER_22
transcript.pyannote[742].start 3732.54471875
transcript.pyannote[742].end 3732.57846875
transcript.pyannote[743].speaker SPEAKER_02
transcript.pyannote[743].start 3738.34971875
transcript.pyannote[743].end 3745.36971875
transcript.pyannote[744].speaker SPEAKER_02
transcript.pyannote[744].start 3745.45409375
transcript.pyannote[744].end 3748.37346875
transcript.pyannote[745].speaker SPEAKER_02
transcript.pyannote[745].start 3748.40721875
transcript.pyannote[745].end 3750.07784375
transcript.pyannote[746].speaker SPEAKER_02
transcript.pyannote[746].start 3750.44909375
transcript.pyannote[746].end 3751.02284375
transcript.pyannote[747].speaker SPEAKER_02
transcript.pyannote[747].start 3751.15784375
transcript.pyannote[747].end 3755.57909375
transcript.pyannote[748].speaker SPEAKER_02
transcript.pyannote[748].start 3755.76471875
transcript.pyannote[748].end 3758.63346875
transcript.pyannote[749].speaker SPEAKER_02
transcript.pyannote[749].start 3758.76846875
transcript.pyannote[749].end 3759.83159375
transcript.pyannote[750].speaker SPEAKER_02
transcript.pyannote[750].start 3759.89909375
transcript.pyannote[750].end 3760.82721875
transcript.pyannote[751].speaker SPEAKER_02
transcript.pyannote[751].start 3761.19846875
transcript.pyannote[751].end 3761.53596875
transcript.pyannote[752].speaker SPEAKER_02
transcript.pyannote[752].start 3762.17721875
transcript.pyannote[752].end 3770.91846875
transcript.pyannote[753].speaker SPEAKER_02
transcript.pyannote[753].start 3771.34034375
transcript.pyannote[753].end 3773.98971875
transcript.pyannote[754].speaker SPEAKER_02
transcript.pyannote[754].start 3774.14159375
transcript.pyannote[754].end 3781.48221875
transcript.pyannote[755].speaker SPEAKER_00
transcript.pyannote[755].start 3779.10284375
transcript.pyannote[755].end 3779.20409375
transcript.pyannote[756].speaker SPEAKER_14
transcript.pyannote[756].start 3779.20409375
transcript.pyannote[756].end 3779.42346875
transcript.pyannote[757].speaker SPEAKER_00
transcript.pyannote[757].start 3779.42346875
transcript.pyannote[757].end 3779.50784375
transcript.pyannote[758].speaker SPEAKER_02
transcript.pyannote[758].start 3782.24159375
transcript.pyannote[758].end 3788.80596875
transcript.pyannote[759].speaker SPEAKER_14
transcript.pyannote[759].start 3784.92471875
transcript.pyannote[759].end 3798.52596875
transcript.pyannote[760].speaker SPEAKER_10
transcript.pyannote[760].start 3789.81846875
transcript.pyannote[760].end 3789.83534375
transcript.pyannote[761].speaker SPEAKER_02
transcript.pyannote[761].start 3789.83534375
transcript.pyannote[761].end 3790.00409375
transcript.pyannote[762].speaker SPEAKER_10
transcript.pyannote[762].start 3790.00409375
transcript.pyannote[762].end 3790.03784375
transcript.pyannote[763].speaker SPEAKER_02
transcript.pyannote[763].start 3790.03784375
transcript.pyannote[763].end 3790.07159375
transcript.pyannote[764].speaker SPEAKER_10
transcript.pyannote[764].start 3793.58159375
transcript.pyannote[764].end 3797.09159375
transcript.pyannote[765].speaker SPEAKER_10
transcript.pyannote[765].start 3798.08721875
transcript.pyannote[765].end 3820.14284375
transcript.pyannote[766].speaker SPEAKER_14
transcript.pyannote[766].start 3801.04034375
transcript.pyannote[766].end 3801.68159375
transcript.pyannote[767].speaker SPEAKER_14
transcript.pyannote[767].start 3803.92596875
transcript.pyannote[767].end 3804.04409375
transcript.pyannote[768].speaker SPEAKER_15
transcript.pyannote[768].start 3804.04409375
transcript.pyannote[768].end 3804.07784375
transcript.pyannote[769].speaker SPEAKER_00
transcript.pyannote[769].start 3810.45659375
transcript.pyannote[769].end 3812.02596875
transcript.pyannote[770].speaker SPEAKER_02
transcript.pyannote[770].start 3812.02596875
transcript.pyannote[770].end 3812.31284375
transcript.pyannote[771].speaker SPEAKER_00
transcript.pyannote[771].start 3812.92034375
transcript.pyannote[771].end 3813.40971875
transcript.pyannote[772].speaker SPEAKER_02
transcript.pyannote[772].start 3820.10909375
transcript.pyannote[772].end 3829.89659375
transcript.pyannote[773].speaker SPEAKER_14
transcript.pyannote[773].start 3826.15034375
transcript.pyannote[773].end 3826.38659375
transcript.pyannote[774].speaker SPEAKER_14
transcript.pyannote[774].start 3830.53784375
transcript.pyannote[774].end 3839.11034375
transcript.pyannote[775].speaker SPEAKER_02
transcript.pyannote[775].start 3838.21596875
transcript.pyannote[775].end 3847.61534375
transcript.pyannote[776].speaker SPEAKER_14
transcript.pyannote[776].start 3844.02096875
transcript.pyannote[776].end 3846.19784375
transcript.pyannote[777].speaker SPEAKER_14
transcript.pyannote[777].start 3847.19346875
transcript.pyannote[777].end 3847.37909375
transcript.pyannote[778].speaker SPEAKER_14
transcript.pyannote[778].start 3847.61534375
transcript.pyannote[778].end 3853.67346875
transcript.pyannote[779].speaker SPEAKER_02
transcript.pyannote[779].start 3855.69846875
transcript.pyannote[779].end 3868.45596875
transcript.pyannote[780].speaker SPEAKER_02
transcript.pyannote[780].start 3868.82721875
transcript.pyannote[780].end 3871.22346875
transcript.pyannote[781].speaker SPEAKER_02
transcript.pyannote[781].start 3871.39221875
transcript.pyannote[781].end 3873.07971875
transcript.pyannote[782].speaker SPEAKER_02
transcript.pyannote[782].start 3873.29909375
transcript.pyannote[782].end 3875.66159375
transcript.pyannote[783].speaker SPEAKER_02
transcript.pyannote[783].start 3876.04971875
transcript.pyannote[783].end 3876.77534375
transcript.pyannote[784].speaker SPEAKER_02
transcript.pyannote[784].start 3877.33221875
transcript.pyannote[784].end 3881.44971875
transcript.pyannote[785].speaker SPEAKER_02
transcript.pyannote[785].start 3881.66909375
transcript.pyannote[785].end 3885.98909375
transcript.pyannote[786].speaker SPEAKER_02
transcript.pyannote[786].start 3886.20846875
transcript.pyannote[786].end 3892.08096875
transcript.pyannote[787].speaker SPEAKER_02
transcript.pyannote[787].start 3892.46909375
transcript.pyannote[787].end 3906.39096875
transcript.pyannote[788].speaker SPEAKER_02
transcript.pyannote[788].start 3906.79596875
transcript.pyannote[788].end 3913.61346875
transcript.pyannote[789].speaker SPEAKER_11
transcript.pyannote[789].start 3918.54096875
transcript.pyannote[789].end 3922.96221875
transcript.pyannote[790].speaker SPEAKER_11
transcript.pyannote[790].start 3924.49784375
transcript.pyannote[790].end 3936.86721875
transcript.pyannote[791].speaker SPEAKER_16
transcript.pyannote[791].start 3949.33784375
transcript.pyannote[791].end 3954.19784375
transcript.pyannote[792].speaker SPEAKER_16
transcript.pyannote[792].start 3954.23159375
transcript.pyannote[792].end 3955.71659375
transcript.pyannote[793].speaker SPEAKER_11
transcript.pyannote[793].start 3954.55221875
transcript.pyannote[793].end 3954.88971875
transcript.pyannote[794].speaker SPEAKER_11
transcript.pyannote[794].start 3955.83471875
transcript.pyannote[794].end 3958.73721875
transcript.pyannote[795].speaker SPEAKER_16
transcript.pyannote[795].start 3959.66534375
transcript.pyannote[795].end 3965.97659375
transcript.pyannote[796].speaker SPEAKER_11
transcript.pyannote[796].start 3961.26846875
transcript.pyannote[796].end 3962.14596875
transcript.pyannote[797].speaker SPEAKER_11
transcript.pyannote[797].start 3965.60534375
transcript.pyannote[797].end 3967.81596875
transcript.pyannote[798].speaker SPEAKER_11
transcript.pyannote[798].start 3968.08596875
transcript.pyannote[798].end 3969.97596875
transcript.pyannote[799].speaker SPEAKER_16
transcript.pyannote[799].start 3968.42346875
transcript.pyannote[799].end 3970.24596875
transcript.pyannote[800].speaker SPEAKER_11
transcript.pyannote[800].start 3974.09346875
transcript.pyannote[800].end 3974.11034375
transcript.pyannote[801].speaker SPEAKER_22
transcript.pyannote[801].start 3974.11034375
transcript.pyannote[801].end 3974.68409375
transcript.pyannote[802].speaker SPEAKER_16
transcript.pyannote[802].start 3974.81909375
transcript.pyannote[802].end 3976.57409375
transcript.pyannote[803].speaker SPEAKER_22
transcript.pyannote[803].start 3975.96659375
transcript.pyannote[803].end 3976.32096875
transcript.pyannote[804].speaker SPEAKER_16
transcript.pyannote[804].start 3977.04659375
transcript.pyannote[804].end 3980.91096875
transcript.pyannote[805].speaker SPEAKER_22
transcript.pyannote[805].start 3979.39221875
transcript.pyannote[805].end 3981.09659375
transcript.pyannote[806].speaker SPEAKER_16
transcript.pyannote[806].start 3981.09659375
transcript.pyannote[806].end 3981.46784375
transcript.pyannote[807].speaker SPEAKER_22
transcript.pyannote[807].start 3981.11346875
transcript.pyannote[807].end 3981.13034375
transcript.pyannote[808].speaker SPEAKER_16
transcript.pyannote[808].start 3982.54784375
transcript.pyannote[808].end 3984.84284375
transcript.pyannote[809].speaker SPEAKER_16
transcript.pyannote[809].start 3985.31534375
transcript.pyannote[809].end 3986.63159375
transcript.pyannote[810].speaker SPEAKER_16
transcript.pyannote[810].start 3986.96909375
transcript.pyannote[810].end 3994.76534375
transcript.pyannote[811].speaker SPEAKER_16
transcript.pyannote[811].start 3995.05221875
transcript.pyannote[811].end 3996.65534375
transcript.pyannote[812].speaker SPEAKER_16
transcript.pyannote[812].start 3997.14471875
transcript.pyannote[812].end 3999.10221875
transcript.pyannote[813].speaker SPEAKER_16
transcript.pyannote[813].start 3999.47346875
transcript.pyannote[813].end 4000.65471875
transcript.pyannote[814].speaker SPEAKER_16
transcript.pyannote[814].start 4001.41409375
transcript.pyannote[814].end 4007.60721875
transcript.pyannote[815].speaker SPEAKER_16
transcript.pyannote[815].start 4007.72534375
transcript.pyannote[815].end 4010.84721875
transcript.pyannote[816].speaker SPEAKER_16
transcript.pyannote[816].start 4011.18471875
transcript.pyannote[816].end 4015.97721875
transcript.pyannote[817].speaker SPEAKER_22
transcript.pyannote[817].start 4016.51721875
transcript.pyannote[817].end 4017.37784375
transcript.pyannote[818].speaker SPEAKER_22
transcript.pyannote[818].start 4017.81659375
transcript.pyannote[818].end 4023.41909375
transcript.pyannote[819].speaker SPEAKER_22
transcript.pyannote[819].start 4023.65534375
transcript.pyannote[819].end 4024.92096875
transcript.pyannote[820].speaker SPEAKER_22
transcript.pyannote[820].start 4025.07284375
transcript.pyannote[820].end 4030.54034375
transcript.pyannote[821].speaker SPEAKER_22
transcript.pyannote[821].start 4030.77659375
transcript.pyannote[821].end 4032.98721875
transcript.pyannote[822].speaker SPEAKER_22
transcript.pyannote[822].start 4033.44284375
transcript.pyannote[822].end 4036.19346875
transcript.pyannote[823].speaker SPEAKER_22
transcript.pyannote[823].start 4036.56471875
transcript.pyannote[823].end 4039.92284375
transcript.pyannote[824].speaker SPEAKER_22
transcript.pyannote[824].start 4040.20971875
transcript.pyannote[824].end 4042.55534375
transcript.pyannote[825].speaker SPEAKER_16
transcript.pyannote[825].start 4042.84221875
transcript.pyannote[825].end 4055.81909375
transcript.pyannote[826].speaker SPEAKER_16
transcript.pyannote[826].start 4056.84846875
transcript.pyannote[826].end 4058.87346875
transcript.pyannote[827].speaker SPEAKER_22
transcript.pyannote[827].start 4058.95784375
transcript.pyannote[827].end 4060.03784375
transcript.pyannote[828].speaker SPEAKER_22
transcript.pyannote[828].start 4060.05471875
transcript.pyannote[828].end 4062.58596875
transcript.pyannote[829].speaker SPEAKER_22
transcript.pyannote[829].start 4062.80534375
transcript.pyannote[829].end 4063.48034375
transcript.pyannote[830].speaker SPEAKER_22
transcript.pyannote[830].start 4063.61534375
transcript.pyannote[830].end 4065.28596875
transcript.pyannote[831].speaker SPEAKER_22
transcript.pyannote[831].start 4065.99471875
transcript.pyannote[831].end 4069.47096875
transcript.pyannote[832].speaker SPEAKER_22
transcript.pyannote[832].start 4069.65659375
transcript.pyannote[832].end 4071.24284375
transcript.pyannote[833].speaker SPEAKER_22
transcript.pyannote[833].start 4071.56346875
transcript.pyannote[833].end 4073.21721875
transcript.pyannote[834].speaker SPEAKER_22
transcript.pyannote[834].start 4073.62221875
transcript.pyannote[834].end 4078.41471875
transcript.pyannote[835].speaker SPEAKER_22
transcript.pyannote[835].start 4078.60034375
transcript.pyannote[835].end 4079.47784375
transcript.pyannote[836].speaker SPEAKER_22
transcript.pyannote[836].start 4079.52846875
transcript.pyannote[836].end 4080.91221875
transcript.pyannote[837].speaker SPEAKER_22
transcript.pyannote[837].start 4081.09784375
transcript.pyannote[837].end 4082.61659375
transcript.pyannote[838].speaker SPEAKER_22
transcript.pyannote[838].start 4082.93721875
transcript.pyannote[838].end 4084.94534375
transcript.pyannote[839].speaker SPEAKER_22
transcript.pyannote[839].start 4085.06346875
transcript.pyannote[839].end 4087.10534375
transcript.pyannote[840].speaker SPEAKER_22
transcript.pyannote[840].start 4087.61159375
transcript.pyannote[840].end 4089.58596875
transcript.pyannote[841].speaker SPEAKER_22
transcript.pyannote[841].start 4089.85596875
transcript.pyannote[841].end 4093.36596875
transcript.pyannote[842].speaker SPEAKER_16
transcript.pyannote[842].start 4093.60221875
transcript.pyannote[842].end 4101.28034375
transcript.pyannote[843].speaker SPEAKER_22
transcript.pyannote[843].start 4095.20534375
transcript.pyannote[843].end 4095.64409375
transcript.pyannote[844].speaker SPEAKER_16
transcript.pyannote[844].start 4101.66846875
transcript.pyannote[844].end 4109.32971875
transcript.pyannote[845].speaker SPEAKER_22
transcript.pyannote[845].start 4110.15659375
transcript.pyannote[845].end 4118.44221875
transcript.pyannote[846].speaker SPEAKER_16
transcript.pyannote[846].start 4113.14346875
transcript.pyannote[846].end 4113.22784375
transcript.pyannote[847].speaker SPEAKER_22
transcript.pyannote[847].start 4118.76284375
transcript.pyannote[847].end 4120.45034375
transcript.pyannote[848].speaker SPEAKER_22
transcript.pyannote[848].start 4120.48409375
transcript.pyannote[848].end 4121.15909375
transcript.pyannote[849].speaker SPEAKER_22
transcript.pyannote[849].start 4121.41221875
transcript.pyannote[849].end 4125.14159375
transcript.pyannote[850].speaker SPEAKER_22
transcript.pyannote[850].start 4125.41159375
transcript.pyannote[850].end 4126.72784375
transcript.pyannote[851].speaker SPEAKER_22
transcript.pyannote[851].start 4126.89659375
transcript.pyannote[851].end 4130.38971875
transcript.pyannote[852].speaker SPEAKER_16
transcript.pyannote[852].start 4130.62596875
transcript.pyannote[852].end 4141.05471875
transcript.pyannote[853].speaker SPEAKER_22
transcript.pyannote[853].start 4138.69221875
transcript.pyannote[853].end 4139.56971875
transcript.pyannote[854].speaker SPEAKER_22
transcript.pyannote[854].start 4141.05471875
transcript.pyannote[854].end 4141.71284375
transcript.pyannote[855].speaker SPEAKER_22
transcript.pyannote[855].start 4142.16846875
transcript.pyannote[855].end 4145.39159375
transcript.pyannote[856].speaker SPEAKER_22
transcript.pyannote[856].start 4145.62784375
transcript.pyannote[856].end 4145.88096875
transcript.pyannote[857].speaker SPEAKER_22
transcript.pyannote[857].start 4146.21846875
transcript.pyannote[857].end 4149.07034375
transcript.pyannote[858].speaker SPEAKER_22
transcript.pyannote[858].start 4149.39096875
transcript.pyannote[858].end 4152.05721875
transcript.pyannote[859].speaker SPEAKER_22
transcript.pyannote[859].start 4152.25971875
transcript.pyannote[859].end 4152.88409375
transcript.pyannote[860].speaker SPEAKER_22
transcript.pyannote[860].start 4153.49159375
transcript.pyannote[860].end 4155.70221875
transcript.pyannote[861].speaker SPEAKER_22
transcript.pyannote[861].start 4156.03971875
transcript.pyannote[861].end 4158.36846875
transcript.pyannote[862].speaker SPEAKER_22
transcript.pyannote[862].start 4158.50346875
transcript.pyannote[862].end 4159.19534375
transcript.pyannote[863].speaker SPEAKER_22
transcript.pyannote[863].start 4159.76909375
transcript.pyannote[863].end 4168.35846875
transcript.pyannote[864].speaker SPEAKER_16
transcript.pyannote[864].start 4168.51034375
transcript.pyannote[864].end 4173.16784375
transcript.pyannote[865].speaker SPEAKER_22
transcript.pyannote[865].start 4172.40846875
transcript.pyannote[865].end 4178.58471875
transcript.pyannote[866].speaker SPEAKER_22
transcript.pyannote[866].start 4178.63534375
transcript.pyannote[866].end 4182.24659375
transcript.pyannote[867].speaker SPEAKER_16
transcript.pyannote[867].start 4182.29721875
transcript.pyannote[867].end 4185.04784375
transcript.pyannote[868].speaker SPEAKER_22
transcript.pyannote[868].start 4185.04784375
transcript.pyannote[868].end 4185.36846875
transcript.pyannote[869].speaker SPEAKER_15
transcript.pyannote[869].start 4185.38534375
transcript.pyannote[869].end 4185.40221875
transcript.pyannote[870].speaker SPEAKER_16
transcript.pyannote[870].start 4185.45284375
transcript.pyannote[870].end 4199.69534375
transcript.pyannote[871].speaker SPEAKER_16
transcript.pyannote[871].start 4199.98221875
transcript.pyannote[871].end 4203.13784375
transcript.pyannote[872].speaker SPEAKER_16
transcript.pyannote[872].start 4203.32346875
transcript.pyannote[872].end 4206.36096875
transcript.pyannote[873].speaker SPEAKER_16
transcript.pyannote[873].start 4206.61409375
transcript.pyannote[873].end 4210.25909375
transcript.pyannote[874].speaker SPEAKER_16
transcript.pyannote[874].start 4210.30971875
transcript.pyannote[874].end 4225.00784375
transcript.pyannote[875].speaker SPEAKER_14
transcript.pyannote[875].start 4225.00784375
transcript.pyannote[875].end 4225.51409375
transcript.pyannote[876].speaker SPEAKER_14
transcript.pyannote[876].start 4225.54784375
transcript.pyannote[876].end 4239.35159375
transcript.pyannote[877].speaker SPEAKER_00
transcript.pyannote[877].start 4231.70721875
transcript.pyannote[877].end 4231.75784375
transcript.pyannote[878].speaker SPEAKER_16
transcript.pyannote[878].start 4231.75784375
transcript.pyannote[878].end 4231.97721875
transcript.pyannote[879].speaker SPEAKER_00
transcript.pyannote[879].start 4231.97721875
transcript.pyannote[879].end 4232.21346875
transcript.pyannote[880].speaker SPEAKER_00
transcript.pyannote[880].start 4232.90534375
transcript.pyannote[880].end 4233.25971875
transcript.pyannote[881].speaker SPEAKER_00
transcript.pyannote[881].start 4234.30596875
transcript.pyannote[881].end 4234.72784375
transcript.pyannote[882].speaker SPEAKER_14
transcript.pyannote[882].start 4239.72284375
transcript.pyannote[882].end 4266.68909375
transcript.pyannote[883].speaker SPEAKER_00
transcript.pyannote[883].start 4250.67471875
transcript.pyannote[883].end 4250.69159375
transcript.pyannote[884].speaker SPEAKER_15
transcript.pyannote[884].start 4250.69159375
transcript.pyannote[884].end 4250.97846875
transcript.pyannote[885].speaker SPEAKER_00
transcript.pyannote[885].start 4250.97846875
transcript.pyannote[885].end 4251.23159375
transcript.pyannote[886].speaker SPEAKER_16
transcript.pyannote[886].start 4266.68909375
transcript.pyannote[886].end 4277.57346875
transcript.pyannote[887].speaker SPEAKER_14
transcript.pyannote[887].start 4277.57346875
transcript.pyannote[887].end 4293.25034375
transcript.pyannote[888].speaker SPEAKER_15
transcript.pyannote[888].start 4293.25034375
transcript.pyannote[888].end 4293.55409375
transcript.pyannote[889].speaker SPEAKER_14
transcript.pyannote[889].start 4293.55409375
transcript.pyannote[889].end 4294.58346875
transcript.pyannote[890].speaker SPEAKER_15
transcript.pyannote[890].start 4293.57096875
transcript.pyannote[890].end 4293.77346875
transcript.pyannote[891].speaker SPEAKER_14
transcript.pyannote[891].start 4294.61721875
transcript.pyannote[891].end 4297.26659375
transcript.pyannote[892].speaker SPEAKER_14
transcript.pyannote[892].start 4298.21159375
transcript.pyannote[892].end 4302.44721875
transcript.pyannote[893].speaker SPEAKER_14
transcript.pyannote[893].start 4302.51471875
transcript.pyannote[893].end 4306.95284375
transcript.pyannote[894].speaker SPEAKER_16
transcript.pyannote[894].start 4304.75909375
transcript.pyannote[894].end 4305.31596875
transcript.pyannote[895].speaker SPEAKER_16
transcript.pyannote[895].start 4306.98659375
transcript.pyannote[895].end 4324.33409375
transcript.pyannote[896].speaker SPEAKER_14
transcript.pyannote[896].start 4323.22034375
transcript.pyannote[896].end 4335.38721875
transcript.pyannote[897].speaker SPEAKER_16
transcript.pyannote[897].start 4328.04659375
transcript.pyannote[897].end 4328.43471875
transcript.pyannote[898].speaker SPEAKER_14
transcript.pyannote[898].start 4336.16346875
transcript.pyannote[898].end 4338.18846875
transcript.pyannote[899].speaker SPEAKER_16
transcript.pyannote[899].start 4338.17159375
transcript.pyannote[899].end 4340.19659375
transcript.pyannote[900].speaker SPEAKER_14
transcript.pyannote[900].start 4339.13346875
transcript.pyannote[900].end 4343.58846875
transcript.pyannote[901].speaker SPEAKER_16
transcript.pyannote[901].start 4343.58846875
transcript.pyannote[901].end 4343.97659375
transcript.pyannote[902].speaker SPEAKER_15
transcript.pyannote[902].start 4343.94284375
transcript.pyannote[902].end 4343.95971875
transcript.pyannote[903].speaker SPEAKER_14
transcript.pyannote[903].start 4343.95971875
transcript.pyannote[903].end 4345.64721875
transcript.pyannote[904].speaker SPEAKER_15
transcript.pyannote[904].start 4343.97659375
transcript.pyannote[904].end 4344.44909375
transcript.pyannote[905].speaker SPEAKER_16
transcript.pyannote[905].start 4344.44909375
transcript.pyannote[905].end 4344.46596875
transcript.pyannote[906].speaker SPEAKER_15
transcript.pyannote[906].start 4344.46596875
transcript.pyannote[906].end 4344.48284375
transcript.pyannote[907].speaker SPEAKER_14
transcript.pyannote[907].start 4345.93409375
transcript.pyannote[907].end 4351.35096875
transcript.pyannote[908].speaker SPEAKER_14
transcript.pyannote[908].start 4351.73909375
transcript.pyannote[908].end 4354.38846875
transcript.pyannote[909].speaker SPEAKER_16
transcript.pyannote[909].start 4354.23659375
transcript.pyannote[909].end 4367.36534375
transcript.pyannote[910].speaker SPEAKER_16
transcript.pyannote[910].start 4367.55096875
transcript.pyannote[910].end 4377.42284375
transcript.pyannote[911].speaker SPEAKER_16
transcript.pyannote[911].start 4377.50721875
transcript.pyannote[911].end 4380.69659375
transcript.pyannote[912].speaker SPEAKER_16
transcript.pyannote[912].start 4380.88221875
transcript.pyannote[912].end 4383.53159375
transcript.pyannote[913].speaker SPEAKER_16
transcript.pyannote[913].start 4383.83534375
transcript.pyannote[913].end 4388.07096875
transcript.pyannote[914].speaker SPEAKER_16
transcript.pyannote[914].start 4388.17221875
transcript.pyannote[914].end 4391.15909375
transcript.pyannote[915].speaker SPEAKER_22
transcript.pyannote[915].start 4391.85096875
transcript.pyannote[915].end 4393.43721875
transcript.pyannote[916].speaker SPEAKER_16
transcript.pyannote[916].start 4392.20534375
transcript.pyannote[916].end 4393.99409375
transcript.pyannote[917].speaker SPEAKER_22
transcript.pyannote[917].start 4393.65659375
transcript.pyannote[917].end 4398.19596875
transcript.pyannote[918].speaker SPEAKER_16
transcript.pyannote[918].start 4398.29721875
transcript.pyannote[918].end 4398.33096875
transcript.pyannote[919].speaker SPEAKER_22
transcript.pyannote[919].start 4398.33096875
transcript.pyannote[919].end 4399.37721875
transcript.pyannote[920].speaker SPEAKER_16
transcript.pyannote[920].start 4398.48284375
transcript.pyannote[920].end 4398.63471875
transcript.pyannote[921].speaker SPEAKER_22
transcript.pyannote[921].start 4399.56284375
transcript.pyannote[921].end 4402.76909375
transcript.pyannote[922].speaker SPEAKER_16
transcript.pyannote[922].start 4399.59659375
transcript.pyannote[922].end 4399.98471875
transcript.pyannote[923].speaker SPEAKER_00
transcript.pyannote[923].start 4399.98471875
transcript.pyannote[923].end 4400.03534375
transcript.pyannote[924].speaker SPEAKER_22
transcript.pyannote[924].start 4403.08971875
transcript.pyannote[924].end 4405.06409375
transcript.pyannote[925].speaker SPEAKER_22
transcript.pyannote[925].start 4405.50284375
transcript.pyannote[925].end 4409.83971875
transcript.pyannote[926].speaker SPEAKER_22
transcript.pyannote[926].start 4410.27846875
transcript.pyannote[926].end 4411.98284375
transcript.pyannote[927].speaker SPEAKER_22
transcript.pyannote[927].start 4412.26971875
transcript.pyannote[927].end 4415.08784375
transcript.pyannote[928].speaker SPEAKER_22
transcript.pyannote[928].start 4415.32409375
transcript.pyannote[928].end 4416.79221875
transcript.pyannote[929].speaker SPEAKER_15
transcript.pyannote[929].start 4417.12971875
transcript.pyannote[929].end 4417.50096875
transcript.pyannote[930].speaker SPEAKER_22
transcript.pyannote[930].start 4417.41659375
transcript.pyannote[930].end 4419.12096875
transcript.pyannote[931].speaker SPEAKER_22
transcript.pyannote[931].start 4419.52596875
transcript.pyannote[931].end 4420.82534375
transcript.pyannote[932].speaker SPEAKER_22
transcript.pyannote[932].start 4421.09534375
transcript.pyannote[932].end 4422.15846875
transcript.pyannote[933].speaker SPEAKER_22
transcript.pyannote[933].start 4422.41159375
transcript.pyannote[933].end 4433.66721875
transcript.pyannote[934].speaker SPEAKER_00
transcript.pyannote[934].start 4429.80284375
transcript.pyannote[934].end 4430.37659375
transcript.pyannote[935].speaker SPEAKER_22
transcript.pyannote[935].start 4433.80221875
transcript.pyannote[935].end 4434.51096875
transcript.pyannote[936].speaker SPEAKER_22
transcript.pyannote[936].start 4434.71346875
transcript.pyannote[936].end 4436.38409375
transcript.pyannote[937].speaker SPEAKER_22
transcript.pyannote[937].start 4436.53596875
transcript.pyannote[937].end 4438.89846875
transcript.pyannote[938].speaker SPEAKER_22
transcript.pyannote[938].start 4439.48909375
transcript.pyannote[938].end 4440.67034375
transcript.pyannote[939].speaker SPEAKER_22
transcript.pyannote[939].start 4440.97409375
transcript.pyannote[939].end 4441.85159375
transcript.pyannote[940].speaker SPEAKER_22
transcript.pyannote[940].start 4442.13846875
transcript.pyannote[940].end 4447.63971875
transcript.pyannote[941].speaker SPEAKER_16
transcript.pyannote[941].start 4447.62284375
transcript.pyannote[941].end 4460.07659375
transcript.pyannote[942].speaker SPEAKER_16
transcript.pyannote[942].start 4460.19471875
transcript.pyannote[942].end 4462.45596875
transcript.pyannote[943].speaker SPEAKER_16
transcript.pyannote[943].start 4462.70909375
transcript.pyannote[943].end 4472.44596875
transcript.pyannote[944].speaker SPEAKER_16
transcript.pyannote[944].start 4472.96909375
transcript.pyannote[944].end 4474.26846875
transcript.pyannote[945].speaker SPEAKER_16
transcript.pyannote[945].start 4474.35284375
transcript.pyannote[945].end 4483.24596875
transcript.pyannote[946].speaker SPEAKER_16
transcript.pyannote[946].start 4483.56659375
transcript.pyannote[946].end 4489.06784375
transcript.pyannote[947].speaker SPEAKER_16
transcript.pyannote[947].start 4489.54034375
transcript.pyannote[947].end 4501.04909375
transcript.pyannote[948].speaker SPEAKER_16
transcript.pyannote[948].start 4501.08284375
transcript.pyannote[948].end 4506.33096875
transcript.pyannote[949].speaker SPEAKER_16
transcript.pyannote[949].start 4506.83721875
transcript.pyannote[949].end 4508.30534375
transcript.pyannote[950].speaker SPEAKER_13
transcript.pyannote[950].start 4506.88784375
transcript.pyannote[950].end 4510.29659375
transcript.pyannote[951].speaker SPEAKER_13
transcript.pyannote[951].start 4510.41471875
transcript.pyannote[951].end 4517.89034375
transcript.pyannote[952].speaker SPEAKER_13
transcript.pyannote[952].start 4518.16034375
transcript.pyannote[952].end 4532.04846875
transcript.pyannote[953].speaker SPEAKER_16
transcript.pyannote[953].start 4532.52096875
transcript.pyannote[953].end 4542.78096875
transcript.pyannote[954].speaker SPEAKER_16
transcript.pyannote[954].start 4543.06784375
transcript.pyannote[954].end 4545.12659375
transcript.pyannote[955].speaker SPEAKER_16
transcript.pyannote[955].start 4545.58221875
transcript.pyannote[955].end 4560.82034375
transcript.pyannote[956].speaker SPEAKER_13
transcript.pyannote[956].start 4561.32659375
transcript.pyannote[956].end 4566.74346875
transcript.pyannote[957].speaker SPEAKER_16
transcript.pyannote[957].start 4565.22471875
transcript.pyannote[957].end 4565.59596875
transcript.pyannote[958].speaker SPEAKER_13
transcript.pyannote[958].start 4566.99659375
transcript.pyannote[958].end 4570.84409375
transcript.pyannote[959].speaker SPEAKER_13
transcript.pyannote[959].start 4571.04659375
transcript.pyannote[959].end 4572.95346875
transcript.pyannote[960].speaker SPEAKER_13
transcript.pyannote[960].start 4573.29096875
transcript.pyannote[960].end 4577.30721875
transcript.pyannote[961].speaker SPEAKER_13
transcript.pyannote[961].start 4577.57721875
transcript.pyannote[961].end 4579.77096875
transcript.pyannote[962].speaker SPEAKER_13
transcript.pyannote[962].start 4580.04096875
transcript.pyannote[962].end 4580.61471875
transcript.pyannote[963].speaker SPEAKER_13
transcript.pyannote[963].start 4580.83409375
transcript.pyannote[963].end 4592.46096875
transcript.pyannote[964].speaker SPEAKER_13
transcript.pyannote[964].start 4593.35534375
transcript.pyannote[964].end 4594.94159375
transcript.pyannote[965].speaker SPEAKER_13
transcript.pyannote[965].start 4595.02596875
transcript.pyannote[965].end 4599.24471875
transcript.pyannote[966].speaker SPEAKER_13
transcript.pyannote[966].start 4600.02096875
transcript.pyannote[966].end 4603.95284375
transcript.pyannote[967].speaker SPEAKER_13
transcript.pyannote[967].start 4604.25659375
transcript.pyannote[967].end 4611.69846875
transcript.pyannote[968].speaker SPEAKER_16
transcript.pyannote[968].start 4611.91784375
transcript.pyannote[968].end 4615.91721875
transcript.pyannote[969].speaker SPEAKER_13
transcript.pyannote[969].start 4613.09909375
transcript.pyannote[969].end 4615.84971875
transcript.pyannote[970].speaker SPEAKER_13
transcript.pyannote[970].start 4616.08596875
transcript.pyannote[970].end 4630.15971875
transcript.pyannote[971].speaker SPEAKER_16
transcript.pyannote[971].start 4627.29096875
transcript.pyannote[971].end 4627.74659375
transcript.pyannote[972].speaker SPEAKER_16
transcript.pyannote[972].start 4628.94471875
transcript.pyannote[972].end 4629.72096875
transcript.pyannote[973].speaker SPEAKER_16
transcript.pyannote[973].start 4630.56471875
transcript.pyannote[973].end 4632.84284375
transcript.pyannote[974].speaker SPEAKER_13
transcript.pyannote[974].start 4630.58159375
transcript.pyannote[974].end 4630.95284375
transcript.pyannote[975].speaker SPEAKER_13
transcript.pyannote[975].start 4631.02034375
transcript.pyannote[975].end 4631.61096875
transcript.pyannote[976].speaker SPEAKER_13
transcript.pyannote[976].start 4633.07909375
transcript.pyannote[976].end 4640.55471875
transcript.pyannote[977].speaker SPEAKER_13
transcript.pyannote[977].start 4640.90909375
transcript.pyannote[977].end 4653.66659375
transcript.pyannote[978].speaker SPEAKER_16
transcript.pyannote[978].start 4653.66659375
transcript.pyannote[978].end 4671.40221875
transcript.pyannote[979].speaker SPEAKER_10
transcript.pyannote[979].start 4663.57221875
transcript.pyannote[979].end 4663.94346875
transcript.pyannote[980].speaker SPEAKER_13
transcript.pyannote[980].start 4669.63034375
transcript.pyannote[980].end 4670.44034375
transcript.pyannote[981].speaker SPEAKER_13
transcript.pyannote[981].start 4671.03096875
transcript.pyannote[981].end 4671.36846875
transcript.pyannote[982].speaker SPEAKER_16
transcript.pyannote[982].start 4671.50346875
transcript.pyannote[982].end 4672.46534375
transcript.pyannote[983].speaker SPEAKER_13
transcript.pyannote[983].start 4672.54971875
transcript.pyannote[983].end 4688.69909375
transcript.pyannote[984].speaker SPEAKER_16
transcript.pyannote[984].start 4677.89909375
transcript.pyannote[984].end 4678.27034375
transcript.pyannote[985].speaker SPEAKER_13
transcript.pyannote[985].start 4688.74971875
transcript.pyannote[985].end 4692.20909375
transcript.pyannote[986].speaker SPEAKER_13
transcript.pyannote[986].start 4692.54659375
transcript.pyannote[986].end 4698.01409375
transcript.pyannote[987].speaker SPEAKER_16
transcript.pyannote[987].start 4697.82846875
transcript.pyannote[987].end 4700.76471875
transcript.pyannote[988].speaker SPEAKER_13
transcript.pyannote[988].start 4698.28409375
transcript.pyannote[988].end 4699.02659375
transcript.pyannote[989].speaker SPEAKER_22
transcript.pyannote[989].start 4699.02659375
transcript.pyannote[989].end 4707.29534375
transcript.pyannote[990].speaker SPEAKER_16
transcript.pyannote[990].start 4703.95409375
transcript.pyannote[990].end 4704.25784375
transcript.pyannote[991].speaker SPEAKER_22
transcript.pyannote[991].start 4707.70034375
transcript.pyannote[991].end 4710.34971875
transcript.pyannote[992].speaker SPEAKER_22
transcript.pyannote[992].start 4710.38346875
transcript.pyannote[992].end 4714.04534375
transcript.pyannote[993].speaker SPEAKER_16
transcript.pyannote[993].start 4712.49284375
transcript.pyannote[993].end 4717.55534375
transcript.pyannote[994].speaker SPEAKER_22
transcript.pyannote[994].start 4715.22659375
transcript.pyannote[994].end 4715.64846875
transcript.pyannote[995].speaker SPEAKER_22
transcript.pyannote[995].start 4716.96471875
transcript.pyannote[995].end 4720.94721875
transcript.pyannote[996].speaker SPEAKER_16
transcript.pyannote[996].start 4719.58034375
transcript.pyannote[996].end 4719.68159375
transcript.pyannote[997].speaker SPEAKER_16
transcript.pyannote[997].start 4719.81659375
transcript.pyannote[997].end 4738.07534375
transcript.pyannote[998].speaker SPEAKER_00
transcript.pyannote[998].start 4731.07221875
transcript.pyannote[998].end 4731.66284375
transcript.pyannote[999].speaker SPEAKER_16
transcript.pyannote[999].start 4738.29471875
transcript.pyannote[999].end 4739.39159375
transcript.pyannote[1000].speaker SPEAKER_16
transcript.pyannote[1000].start 4739.83034375
transcript.pyannote[1000].end 4752.77346875
transcript.pyannote[1001].speaker SPEAKER_16
transcript.pyannote[1001].start 4752.80721875
transcript.pyannote[1001].end 4755.74346875
transcript.pyannote[1002].speaker SPEAKER_16
transcript.pyannote[1002].start 4755.87846875
transcript.pyannote[1002].end 4762.89846875
transcript.pyannote[1003].speaker SPEAKER_16
transcript.pyannote[1003].start 4763.11784375
transcript.pyannote[1003].end 4784.02596875
transcript.pyannote[1004].speaker SPEAKER_13
transcript.pyannote[1004].start 4784.97096875
transcript.pyannote[1004].end 4800.93471875
transcript.pyannote[1005].speaker SPEAKER_00
transcript.pyannote[1005].start 4800.41159375
transcript.pyannote[1005].end 4800.58034375
transcript.pyannote[1006].speaker SPEAKER_13
transcript.pyannote[1006].start 4801.23846875
transcript.pyannote[1006].end 4805.06909375
transcript.pyannote[1007].speaker SPEAKER_13
transcript.pyannote[1007].start 4805.30534375
transcript.pyannote[1007].end 4818.68721875
transcript.pyannote[1008].speaker SPEAKER_13
transcript.pyannote[1008].start 4819.41284375
transcript.pyannote[1008].end 4821.23534375
transcript.pyannote[1009].speaker SPEAKER_16
transcript.pyannote[1009].start 4819.54784375
transcript.pyannote[1009].end 4839.39284375
transcript.pyannote[1010].speaker SPEAKER_13
transcript.pyannote[1010].start 4839.25784375
transcript.pyannote[1010].end 4839.93284375
transcript.pyannote[1011].speaker SPEAKER_16
transcript.pyannote[1011].start 4839.86534375
transcript.pyannote[1011].end 4849.18034375
transcript.pyannote[1012].speaker SPEAKER_16
transcript.pyannote[1012].start 4850.26034375
transcript.pyannote[1012].end 4854.52971875
transcript.pyannote[1013].speaker SPEAKER_16
transcript.pyannote[1013].start 4854.66471875
transcript.pyannote[1013].end 4856.67284375
transcript.pyannote[1014].speaker SPEAKER_13
transcript.pyannote[1014].start 4854.88409375
transcript.pyannote[1014].end 4854.96846875
transcript.pyannote[1015].speaker SPEAKER_13
transcript.pyannote[1015].start 4855.71096875
transcript.pyannote[1015].end 4856.36909375
transcript.pyannote[1016].speaker SPEAKER_13
transcript.pyannote[1016].start 4856.63909375
transcript.pyannote[1016].end 4863.32159375
transcript.pyannote[1017].speaker SPEAKER_13
transcript.pyannote[1017].start 4863.55784375
transcript.pyannote[1017].end 4865.11034375
transcript.pyannote[1018].speaker SPEAKER_13
transcript.pyannote[1018].start 4865.31284375
transcript.pyannote[1018].end 4868.19846875
transcript.pyannote[1019].speaker SPEAKER_13
transcript.pyannote[1019].start 4868.72159375
transcript.pyannote[1019].end 4870.74659375
transcript.pyannote[1020].speaker SPEAKER_13
transcript.pyannote[1020].start 4871.13471875
transcript.pyannote[1020].end 4873.73346875
transcript.pyannote[1021].speaker SPEAKER_13
transcript.pyannote[1021].start 4873.86846875
transcript.pyannote[1021].end 4877.29409375
transcript.pyannote[1022].speaker SPEAKER_13
transcript.pyannote[1022].start 4877.58096875
transcript.pyannote[1022].end 4878.34034375
transcript.pyannote[1023].speaker SPEAKER_13
transcript.pyannote[1023].start 4884.97221875
transcript.pyannote[1023].end 4891.84034375
transcript.pyannote[1024].speaker SPEAKER_16
transcript.pyannote[1024].start 4891.99221875
transcript.pyannote[1024].end 4899.34971875
transcript.pyannote[1025].speaker SPEAKER_16
transcript.pyannote[1025].start 4899.60284375
transcript.pyannote[1025].end 4900.02471875
transcript.pyannote[1026].speaker SPEAKER_22
transcript.pyannote[1026].start 4903.77096875
transcript.pyannote[1026].end 4904.02409375
transcript.pyannote[1027].speaker SPEAKER_11
transcript.pyannote[1027].start 4912.73159375
transcript.pyannote[1027].end 4917.10221875
transcript.pyannote[1028].speaker SPEAKER_11
transcript.pyannote[1028].start 4917.52409375
transcript.pyannote[1028].end 4918.13159375
transcript.pyannote[1029].speaker SPEAKER_11
transcript.pyannote[1029].start 4918.60409375
transcript.pyannote[1029].end 4927.24409375
transcript.pyannote[1030].speaker SPEAKER_11
transcript.pyannote[1030].start 4927.58159375
transcript.pyannote[1030].end 4928.02034375
transcript.pyannote[1031].speaker SPEAKER_11
transcript.pyannote[1031].start 5517.48096875
transcript.pyannote[1031].end 5522.08784375
transcript.pyannote[1032].speaker SPEAKER_11
transcript.pyannote[1032].start 5524.11284375
transcript.pyannote[1032].end 5525.80034375
transcript.pyannote[1033].speaker SPEAKER_17
transcript.pyannote[1033].start 5535.04784375
transcript.pyannote[1033].end 5537.29221875
transcript.pyannote[1034].speaker SPEAKER_17
transcript.pyannote[1034].start 5537.74784375
transcript.pyannote[1034].end 5540.88659375
transcript.pyannote[1035].speaker SPEAKER_17
transcript.pyannote[1035].start 5541.44346875
transcript.pyannote[1035].end 5542.10159375
transcript.pyannote[1036].speaker SPEAKER_17
transcript.pyannote[1036].start 5542.32096875
transcript.pyannote[1036].end 5544.86909375
transcript.pyannote[1037].speaker SPEAKER_17
transcript.pyannote[1037].start 5545.37534375
transcript.pyannote[1037].end 5546.82659375
transcript.pyannote[1038].speaker SPEAKER_11
transcript.pyannote[1038].start 5547.23159375
transcript.pyannote[1038].end 5550.03284375
transcript.pyannote[1039].speaker SPEAKER_22
transcript.pyannote[1039].start 5560.15784375
transcript.pyannote[1039].end 5560.68096875
transcript.pyannote[1040].speaker SPEAKER_17
transcript.pyannote[1040].start 5561.15346875
transcript.pyannote[1040].end 5566.13159375
transcript.pyannote[1041].speaker SPEAKER_17
transcript.pyannote[1041].start 5566.50284375
transcript.pyannote[1041].end 5567.04284375
transcript.pyannote[1042].speaker SPEAKER_22
transcript.pyannote[1042].start 5567.49846875
transcript.pyannote[1042].end 5572.47659375
transcript.pyannote[1043].speaker SPEAKER_17
transcript.pyannote[1043].start 5569.87784375
transcript.pyannote[1043].end 5570.31659375
transcript.pyannote[1044].speaker SPEAKER_17
transcript.pyannote[1044].start 5572.79721875
transcript.pyannote[1044].end 5574.09659375
transcript.pyannote[1045].speaker SPEAKER_17
transcript.pyannote[1045].start 5574.67034375
transcript.pyannote[1045].end 5577.70784375
transcript.pyannote[1046].speaker SPEAKER_17
transcript.pyannote[1046].start 5578.12971875
transcript.pyannote[1046].end 5584.12034375
transcript.pyannote[1047].speaker SPEAKER_17
transcript.pyannote[1047].start 5584.45784375
transcript.pyannote[1047].end 5593.13159375
transcript.pyannote[1048].speaker SPEAKER_17
transcript.pyannote[1048].start 5593.57034375
transcript.pyannote[1048].end 5596.87784375
transcript.pyannote[1049].speaker SPEAKER_17
transcript.pyannote[1049].start 5597.09721875
transcript.pyannote[1049].end 5598.73409375
transcript.pyannote[1050].speaker SPEAKER_17
transcript.pyannote[1050].start 5599.34159375
transcript.pyannote[1050].end 5600.13471875
transcript.pyannote[1051].speaker SPEAKER_22
transcript.pyannote[1051].start 5601.06284375
transcript.pyannote[1051].end 5602.22721875
transcript.pyannote[1052].speaker SPEAKER_17
transcript.pyannote[1052].start 5602.39596875
transcript.pyannote[1052].end 5602.68284375
transcript.pyannote[1053].speaker SPEAKER_17
transcript.pyannote[1053].start 5603.10471875
transcript.pyannote[1053].end 5603.67846875
transcript.pyannote[1054].speaker SPEAKER_22
transcript.pyannote[1054].start 5603.13846875
transcript.pyannote[1054].end 5608.63971875
transcript.pyannote[1055].speaker SPEAKER_17
transcript.pyannote[1055].start 5606.71596875
transcript.pyannote[1055].end 5610.86721875
transcript.pyannote[1056].speaker SPEAKER_22
transcript.pyannote[1056].start 5611.27221875
transcript.pyannote[1056].end 5615.60909375
transcript.pyannote[1057].speaker SPEAKER_17
transcript.pyannote[1057].start 5615.82846875
transcript.pyannote[1057].end 5616.03096875
transcript.pyannote[1058].speaker SPEAKER_22
transcript.pyannote[1058].start 5616.03096875
transcript.pyannote[1058].end 5617.06034375
transcript.pyannote[1059].speaker SPEAKER_17
transcript.pyannote[1059].start 5616.11534375
transcript.pyannote[1059].end 5617.73534375
transcript.pyannote[1060].speaker SPEAKER_22
transcript.pyannote[1060].start 5619.28784375
transcript.pyannote[1060].end 5620.23284375
transcript.pyannote[1061].speaker SPEAKER_22
transcript.pyannote[1061].start 5620.43534375
transcript.pyannote[1061].end 5623.75971875
transcript.pyannote[1062].speaker SPEAKER_17
transcript.pyannote[1062].start 5621.98784375
transcript.pyannote[1062].end 5624.24909375
transcript.pyannote[1063].speaker SPEAKER_17
transcript.pyannote[1063].start 5624.73846875
transcript.pyannote[1063].end 5636.51721875
transcript.pyannote[1064].speaker SPEAKER_15
transcript.pyannote[1064].start 5632.55159375
transcript.pyannote[1064].end 5632.58534375
transcript.pyannote[1065].speaker SPEAKER_10
transcript.pyannote[1065].start 5632.58534375
transcript.pyannote[1065].end 5633.41221875
transcript.pyannote[1066].speaker SPEAKER_10
transcript.pyannote[1066].start 5635.48784375
transcript.pyannote[1066].end 5640.28034375
transcript.pyannote[1067].speaker SPEAKER_17
transcript.pyannote[1067].start 5638.99784375
transcript.pyannote[1067].end 5640.34784375
transcript.pyannote[1068].speaker SPEAKER_10
transcript.pyannote[1068].start 5640.66846875
transcript.pyannote[1068].end 5640.68534375
transcript.pyannote[1069].speaker SPEAKER_17
transcript.pyannote[1069].start 5640.68534375
transcript.pyannote[1069].end 5648.75159375
transcript.pyannote[1070].speaker SPEAKER_10
transcript.pyannote[1070].start 5642.65971875
transcript.pyannote[1070].end 5643.01409375
transcript.pyannote[1071].speaker SPEAKER_15
transcript.pyannote[1071].start 5643.01409375
transcript.pyannote[1071].end 5643.95909375
transcript.pyannote[1072].speaker SPEAKER_17
transcript.pyannote[1072].start 5649.42659375
transcript.pyannote[1072].end 5653.42596875
transcript.pyannote[1073].speaker SPEAKER_17
transcript.pyannote[1073].start 5653.51034375
transcript.pyannote[1073].end 5654.25284375
transcript.pyannote[1074].speaker SPEAKER_10
transcript.pyannote[1074].start 5654.25284375
transcript.pyannote[1074].end 5654.69159375
transcript.pyannote[1075].speaker SPEAKER_17
transcript.pyannote[1075].start 5654.69159375
transcript.pyannote[1075].end 5654.79284375
transcript.pyannote[1076].speaker SPEAKER_10
transcript.pyannote[1076].start 5654.96159375
transcript.pyannote[1076].end 5659.28159375
transcript.pyannote[1077].speaker SPEAKER_10
transcript.pyannote[1077].start 5659.43346875
transcript.pyannote[1077].end 5663.36534375
transcript.pyannote[1078].speaker SPEAKER_17
transcript.pyannote[1078].start 5660.63159375
transcript.pyannote[1078].end 5661.01971875
transcript.pyannote[1079].speaker SPEAKER_10
transcript.pyannote[1079].start 5663.43284375
transcript.pyannote[1079].end 5667.07784375
transcript.pyannote[1080].speaker SPEAKER_10
transcript.pyannote[1080].start 5667.36471875
transcript.pyannote[1080].end 5676.00471875
transcript.pyannote[1081].speaker SPEAKER_17
transcript.pyannote[1081].start 5673.89534375
transcript.pyannote[1081].end 5674.30034375
transcript.pyannote[1082].speaker SPEAKER_00
transcript.pyannote[1082].start 5674.30034375
transcript.pyannote[1082].end 5674.31721875
transcript.pyannote[1083].speaker SPEAKER_17
transcript.pyannote[1083].start 5674.68846875
transcript.pyannote[1083].end 5674.97534375
transcript.pyannote[1084].speaker SPEAKER_00
transcript.pyannote[1084].start 5674.97534375
transcript.pyannote[1084].end 5675.17784375
transcript.pyannote[1085].speaker SPEAKER_10
transcript.pyannote[1085].start 5676.17346875
transcript.pyannote[1085].end 5687.78346875
transcript.pyannote[1086].speaker SPEAKER_00
transcript.pyannote[1086].start 5679.83534375
transcript.pyannote[1086].end 5680.40909375
transcript.pyannote[1087].speaker SPEAKER_15
transcript.pyannote[1087].start 5680.76346875
transcript.pyannote[1087].end 5680.84784375
transcript.pyannote[1088].speaker SPEAKER_17
transcript.pyannote[1088].start 5682.26534375
transcript.pyannote[1088].end 5683.36221875
transcript.pyannote[1089].speaker SPEAKER_00
transcript.pyannote[1089].start 5683.36221875
transcript.pyannote[1089].end 5683.37909375
transcript.pyannote[1090].speaker SPEAKER_17
transcript.pyannote[1090].start 5685.77534375
transcript.pyannote[1090].end 5689.45409375
transcript.pyannote[1091].speaker SPEAKER_10
transcript.pyannote[1091].start 5688.27284375
transcript.pyannote[1091].end 5690.97284375
transcript.pyannote[1092].speaker SPEAKER_17
transcript.pyannote[1092].start 5689.96034375
transcript.pyannote[1092].end 5692.37346875
transcript.pyannote[1093].speaker SPEAKER_17
transcript.pyannote[1093].start 5693.28471875
transcript.pyannote[1093].end 5696.59221875
transcript.pyannote[1094].speaker SPEAKER_17
transcript.pyannote[1094].start 5697.18284375
transcript.pyannote[1094].end 5697.79034375
transcript.pyannote[1095].speaker SPEAKER_22
transcript.pyannote[1095].start 5698.97159375
transcript.pyannote[1095].end 5702.46471875
transcript.pyannote[1096].speaker SPEAKER_17
transcript.pyannote[1096].start 5701.78971875
transcript.pyannote[1096].end 5702.36346875
transcript.pyannote[1097].speaker SPEAKER_17
transcript.pyannote[1097].start 5702.46471875
transcript.pyannote[1097].end 5702.76846875
transcript.pyannote[1098].speaker SPEAKER_22
transcript.pyannote[1098].start 5702.76846875
transcript.pyannote[1098].end 5706.90284375
transcript.pyannote[1099].speaker SPEAKER_17
transcript.pyannote[1099].start 5705.43471875
transcript.pyannote[1099].end 5706.27846875
transcript.pyannote[1100].speaker SPEAKER_22
transcript.pyannote[1100].start 5706.93659375
transcript.pyannote[1100].end 5706.97034375
transcript.pyannote[1101].speaker SPEAKER_17
transcript.pyannote[1101].start 5706.97034375
transcript.pyannote[1101].end 5707.76346875
transcript.pyannote[1102].speaker SPEAKER_22
transcript.pyannote[1102].start 5707.76346875
transcript.pyannote[1102].end 5708.03346875
transcript.pyannote[1103].speaker SPEAKER_17
transcript.pyannote[1103].start 5708.03346875
transcript.pyannote[1103].end 5708.45534375
transcript.pyannote[1104].speaker SPEAKER_22
transcript.pyannote[1104].start 5708.45534375
transcript.pyannote[1104].end 5708.47221875
transcript.pyannote[1105].speaker SPEAKER_17
transcript.pyannote[1105].start 5708.47221875
transcript.pyannote[1105].end 5708.52284375
transcript.pyannote[1106].speaker SPEAKER_17
transcript.pyannote[1106].start 5708.75909375
transcript.pyannote[1106].end 5715.17159375
transcript.pyannote[1107].speaker SPEAKER_22
transcript.pyannote[1107].start 5711.49284375
transcript.pyannote[1107].end 5711.83034375
transcript.pyannote[1108].speaker SPEAKER_10
transcript.pyannote[1108].start 5711.83034375
transcript.pyannote[1108].end 5711.94846875
transcript.pyannote[1109].speaker SPEAKER_22
transcript.pyannote[1109].start 5711.94846875
transcript.pyannote[1109].end 5711.96534375
transcript.pyannote[1110].speaker SPEAKER_10
transcript.pyannote[1110].start 5711.96534375
transcript.pyannote[1110].end 5712.75846875
transcript.pyannote[1111].speaker SPEAKER_10
transcript.pyannote[1111].start 5715.17159375
transcript.pyannote[1111].end 5721.29721875
transcript.pyannote[1112].speaker SPEAKER_17
transcript.pyannote[1112].start 5716.16721875
transcript.pyannote[1112].end 5717.07846875
transcript.pyannote[1113].speaker SPEAKER_10
transcript.pyannote[1113].start 5721.66846875
transcript.pyannote[1113].end 5728.06409375
transcript.pyannote[1114].speaker SPEAKER_17
transcript.pyannote[1114].start 5726.93346875
transcript.pyannote[1114].end 5727.43971875
transcript.pyannote[1115].speaker SPEAKER_17
transcript.pyannote[1115].start 5728.08096875
transcript.pyannote[1115].end 5729.54909375
transcript.pyannote[1116].speaker SPEAKER_17
transcript.pyannote[1116].start 5730.19034375
transcript.pyannote[1116].end 5732.46846875
transcript.pyannote[1117].speaker SPEAKER_17
transcript.pyannote[1117].start 5732.73846875
transcript.pyannote[1117].end 5732.82284375
transcript.pyannote[1118].speaker SPEAKER_22
transcript.pyannote[1118].start 5732.82284375
transcript.pyannote[1118].end 5732.83971875
transcript.pyannote[1119].speaker SPEAKER_17
transcript.pyannote[1119].start 5732.83971875
transcript.pyannote[1119].end 5734.52721875
transcript.pyannote[1120].speaker SPEAKER_10
transcript.pyannote[1120].start 5733.12659375
transcript.pyannote[1120].end 5733.19409375
transcript.pyannote[1121].speaker SPEAKER_17
transcript.pyannote[1121].start 5734.62846875
transcript.pyannote[1121].end 5735.20221875
transcript.pyannote[1122].speaker SPEAKER_22
transcript.pyannote[1122].start 5735.28659375
transcript.pyannote[1122].end 5740.83846875
transcript.pyannote[1123].speaker SPEAKER_17
transcript.pyannote[1123].start 5739.33659375
transcript.pyannote[1123].end 5740.75409375
transcript.pyannote[1124].speaker SPEAKER_22
transcript.pyannote[1124].start 5741.14221875
transcript.pyannote[1124].end 5745.14159375
transcript.pyannote[1125].speaker SPEAKER_22
transcript.pyannote[1125].start 5745.44534375
transcript.pyannote[1125].end 5750.50784375
transcript.pyannote[1126].speaker SPEAKER_10
transcript.pyannote[1126].start 5750.08596875
transcript.pyannote[1126].end 5751.73971875
transcript.pyannote[1127].speaker SPEAKER_10
transcript.pyannote[1127].start 5752.12784375
transcript.pyannote[1127].end 5755.35096875
transcript.pyannote[1128].speaker SPEAKER_10
transcript.pyannote[1128].start 5755.75596875
transcript.pyannote[1128].end 5758.45596875
transcript.pyannote[1129].speaker SPEAKER_17
transcript.pyannote[1129].start 5755.90784375
transcript.pyannote[1129].end 5756.44784375
transcript.pyannote[1130].speaker SPEAKER_17
transcript.pyannote[1130].start 5756.49846875
transcript.pyannote[1130].end 5758.50659375
transcript.pyannote[1131].speaker SPEAKER_17
transcript.pyannote[1131].start 5759.19846875
transcript.pyannote[1131].end 5762.64096875
transcript.pyannote[1132].speaker SPEAKER_17
transcript.pyannote[1132].start 5763.97409375
transcript.pyannote[1132].end 5764.64909375
transcript.pyannote[1133].speaker SPEAKER_17
transcript.pyannote[1133].start 5764.80096875
transcript.pyannote[1133].end 5766.60659375
transcript.pyannote[1134].speaker SPEAKER_22
transcript.pyannote[1134].start 5765.99909375
transcript.pyannote[1134].end 5769.12096875
transcript.pyannote[1135].speaker SPEAKER_17
transcript.pyannote[1135].start 5768.90159375
transcript.pyannote[1135].end 5768.95221875
transcript.pyannote[1136].speaker SPEAKER_17
transcript.pyannote[1136].start 5769.49221875
transcript.pyannote[1136].end 5770.01534375
transcript.pyannote[1137].speaker SPEAKER_17
transcript.pyannote[1137].start 5770.31909375
transcript.pyannote[1137].end 5771.34846875
transcript.pyannote[1138].speaker SPEAKER_10
transcript.pyannote[1138].start 5770.35284375
transcript.pyannote[1138].end 5773.59284375
transcript.pyannote[1139].speaker SPEAKER_10
transcript.pyannote[1139].start 5773.66034375
transcript.pyannote[1139].end 5773.94721875
transcript.pyannote[1140].speaker SPEAKER_10
transcript.pyannote[1140].start 5774.82471875
transcript.pyannote[1140].end 5780.37659375
transcript.pyannote[1141].speaker SPEAKER_17
transcript.pyannote[1141].start 5774.87534375
transcript.pyannote[1141].end 5776.86659375
transcript.pyannote[1142].speaker SPEAKER_22
transcript.pyannote[1142].start 5776.86659375
transcript.pyannote[1142].end 5777.00159375
transcript.pyannote[1143].speaker SPEAKER_15
transcript.pyannote[1143].start 5777.00159375
transcript.pyannote[1143].end 5777.13659375
transcript.pyannote[1144].speaker SPEAKER_22
transcript.pyannote[1144].start 5777.13659375
transcript.pyannote[1144].end 5777.40659375
transcript.pyannote[1145].speaker SPEAKER_00
transcript.pyannote[1145].start 5778.58784375
transcript.pyannote[1145].end 5778.60471875
transcript.pyannote[1146].speaker SPEAKER_22
transcript.pyannote[1146].start 5778.60471875
transcript.pyannote[1146].end 5780.41034375
transcript.pyannote[1147].speaker SPEAKER_10
transcript.pyannote[1147].start 5780.41034375
transcript.pyannote[1147].end 5780.47784375
transcript.pyannote[1148].speaker SPEAKER_10
transcript.pyannote[1148].start 5780.52846875
transcript.pyannote[1148].end 5783.65034375
transcript.pyannote[1149].speaker SPEAKER_22
transcript.pyannote[1149].start 5780.88284375
transcript.pyannote[1149].end 5781.54096875
transcript.pyannote[1150].speaker SPEAKER_22
transcript.pyannote[1150].start 5782.62096875
transcript.pyannote[1150].end 5785.32096875
transcript.pyannote[1151].speaker SPEAKER_17
transcript.pyannote[1151].start 5783.65034375
transcript.pyannote[1151].end 5783.68409375
transcript.pyannote[1152].speaker SPEAKER_10
transcript.pyannote[1152].start 5783.68409375
transcript.pyannote[1152].end 5784.40971875
transcript.pyannote[1153].speaker SPEAKER_17
transcript.pyannote[1153].start 5785.28721875
transcript.pyannote[1153].end 5786.04659375
transcript.pyannote[1154].speaker SPEAKER_10
transcript.pyannote[1154].start 5786.55284375
transcript.pyannote[1154].end 5786.56971875
transcript.pyannote[1155].speaker SPEAKER_17
transcript.pyannote[1155].start 5786.56971875
transcript.pyannote[1155].end 5788.20659375
transcript.pyannote[1156].speaker SPEAKER_17
transcript.pyannote[1156].start 5789.01659375
transcript.pyannote[1156].end 5790.34971875
transcript.pyannote[1157].speaker SPEAKER_22
transcript.pyannote[1157].start 5791.48034375
transcript.pyannote[1157].end 5795.14221875
transcript.pyannote[1158].speaker SPEAKER_17
transcript.pyannote[1158].start 5792.86409375
transcript.pyannote[1158].end 5793.85971875
transcript.pyannote[1159].speaker SPEAKER_17
transcript.pyannote[1159].start 5794.60221875
transcript.pyannote[1159].end 5795.31096875
transcript.pyannote[1160].speaker SPEAKER_17
transcript.pyannote[1160].start 5796.00284375
transcript.pyannote[1160].end 5802.88784375
transcript.pyannote[1161].speaker SPEAKER_22
transcript.pyannote[1161].start 5799.36096875
transcript.pyannote[1161].end 5799.54659375
transcript.pyannote[1162].speaker SPEAKER_22
transcript.pyannote[1162].start 5803.56284375
transcript.pyannote[1162].end 5804.17034375
transcript.pyannote[1163].speaker SPEAKER_17
transcript.pyannote[1163].start 5803.69784375
transcript.pyannote[1163].end 5806.22909375
transcript.pyannote[1164].speaker SPEAKER_17
transcript.pyannote[1164].start 5807.05596875
transcript.pyannote[1164].end 5807.15721875
transcript.pyannote[1165].speaker SPEAKER_22
transcript.pyannote[1165].start 5807.15721875
transcript.pyannote[1165].end 5808.15284375
transcript.pyannote[1166].speaker SPEAKER_17
transcript.pyannote[1166].start 5807.68034375
transcript.pyannote[1166].end 5809.04721875
transcript.pyannote[1167].speaker SPEAKER_22
transcript.pyannote[1167].start 5809.04721875
transcript.pyannote[1167].end 5810.76846875
transcript.pyannote[1168].speaker SPEAKER_17
transcript.pyannote[1168].start 5810.98784375
transcript.pyannote[1168].end 5811.24096875
transcript.pyannote[1169].speaker SPEAKER_17
transcript.pyannote[1169].start 5811.83159375
transcript.pyannote[1169].end 5811.91596875
transcript.pyannote[1170].speaker SPEAKER_17
transcript.pyannote[1170].start 5812.38846875
transcript.pyannote[1170].end 5813.43471875
transcript.pyannote[1171].speaker SPEAKER_22
transcript.pyannote[1171].start 5813.78909375
transcript.pyannote[1171].end 5814.36284375
transcript.pyannote[1172].speaker SPEAKER_17
transcript.pyannote[1172].start 5814.36284375
transcript.pyannote[1172].end 5816.06721875
transcript.pyannote[1173].speaker SPEAKER_10
transcript.pyannote[1173].start 5816.06721875
transcript.pyannote[1173].end 5816.33721875
transcript.pyannote[1174].speaker SPEAKER_10
transcript.pyannote[1174].start 5816.38784375
transcript.pyannote[1174].end 5818.44659375
transcript.pyannote[1175].speaker SPEAKER_17
transcript.pyannote[1175].start 5819.96534375
transcript.pyannote[1175].end 5823.74534375
transcript.pyannote[1176].speaker SPEAKER_10
transcript.pyannote[1176].start 5820.43784375
transcript.pyannote[1176].end 5821.11284375
transcript.pyannote[1177].speaker SPEAKER_10
transcript.pyannote[1177].start 5821.18034375
transcript.pyannote[1177].end 5822.74971875
transcript.pyannote[1178].speaker SPEAKER_10
transcript.pyannote[1178].start 5823.01971875
transcript.pyannote[1178].end 5823.07034375
transcript.pyannote[1179].speaker SPEAKER_22
transcript.pyannote[1179].start 5823.07034375
transcript.pyannote[1179].end 5824.25159375
transcript.pyannote[1180].speaker SPEAKER_17
transcript.pyannote[1180].start 5824.03221875
transcript.pyannote[1180].end 5833.76909375
transcript.pyannote[1181].speaker SPEAKER_10
transcript.pyannote[1181].start 5824.58909375
transcript.pyannote[1181].end 5824.97721875
transcript.pyannote[1182].speaker SPEAKER_22
transcript.pyannote[1182].start 5828.45346875
transcript.pyannote[1182].end 5830.90034375
transcript.pyannote[1183].speaker SPEAKER_17
transcript.pyannote[1183].start 5834.84909375
transcript.pyannote[1183].end 5836.82346875
transcript.pyannote[1184].speaker SPEAKER_17
transcript.pyannote[1184].start 5837.85284375
transcript.pyannote[1184].end 5838.05534375
transcript.pyannote[1185].speaker SPEAKER_17
transcript.pyannote[1185].start 5838.64596875
transcript.pyannote[1185].end 5840.82284375
transcript.pyannote[1186].speaker SPEAKER_17
transcript.pyannote[1186].start 5841.21096875
transcript.pyannote[1186].end 5842.71284375
transcript.pyannote[1187].speaker SPEAKER_17
transcript.pyannote[1187].start 5843.23596875
transcript.pyannote[1187].end 5845.02471875
transcript.pyannote[1188].speaker SPEAKER_17
transcript.pyannote[1188].start 5845.90221875
transcript.pyannote[1188].end 5849.86784375
transcript.pyannote[1189].speaker SPEAKER_17
transcript.pyannote[1189].start 5850.01971875
transcript.pyannote[1189].end 5850.82971875
transcript.pyannote[1190].speaker SPEAKER_17
transcript.pyannote[1190].start 5851.31909375
transcript.pyannote[1190].end 5852.14596875
transcript.pyannote[1191].speaker SPEAKER_17
transcript.pyannote[1191].start 5852.90534375
transcript.pyannote[1191].end 5860.81971875
transcript.pyannote[1192].speaker SPEAKER_22
transcript.pyannote[1192].start 5857.81596875
transcript.pyannote[1192].end 5858.27159375
transcript.pyannote[1193].speaker SPEAKER_10
transcript.pyannote[1193].start 5858.27159375
transcript.pyannote[1193].end 5858.37284375
transcript.pyannote[1194].speaker SPEAKER_10
transcript.pyannote[1194].start 5858.52471875
transcript.pyannote[1194].end 5858.55846875
transcript.pyannote[1195].speaker SPEAKER_10
transcript.pyannote[1195].start 5858.76096875
transcript.pyannote[1195].end 5860.12784375
transcript.pyannote[1196].speaker SPEAKER_22
transcript.pyannote[1196].start 5860.26284375
transcript.pyannote[1196].end 5862.76034375
transcript.pyannote[1197].speaker SPEAKER_17
transcript.pyannote[1197].start 5862.76034375
transcript.pyannote[1197].end 5863.70534375
transcript.pyannote[1198].speaker SPEAKER_22
transcript.pyannote[1198].start 5862.82784375
transcript.pyannote[1198].end 5866.20284375
transcript.pyannote[1199].speaker SPEAKER_17
transcript.pyannote[1199].start 5865.98346875
transcript.pyannote[1199].end 5876.39534375
transcript.pyannote[1200].speaker SPEAKER_10
transcript.pyannote[1200].start 5870.70846875
transcript.pyannote[1200].end 5870.89409375
transcript.pyannote[1201].speaker SPEAKER_22
transcript.pyannote[1201].start 5870.89409375
transcript.pyannote[1201].end 5872.71659375
transcript.pyannote[1202].speaker SPEAKER_22
transcript.pyannote[1202].start 5876.39534375
transcript.pyannote[1202].end 5876.47971875
transcript.pyannote[1203].speaker SPEAKER_17
transcript.pyannote[1203].start 5876.47971875
transcript.pyannote[1203].end 5876.71596875
transcript.pyannote[1204].speaker SPEAKER_22
transcript.pyannote[1204].start 5876.71596875
transcript.pyannote[1204].end 5878.63971875
transcript.pyannote[1205].speaker SPEAKER_17
transcript.pyannote[1205].start 5877.01971875
transcript.pyannote[1205].end 5879.73659375
transcript.pyannote[1206].speaker SPEAKER_22
transcript.pyannote[1206].start 5879.73659375
transcript.pyannote[1206].end 5879.80409375
transcript.pyannote[1207].speaker SPEAKER_17
transcript.pyannote[1207].start 5879.80409375
transcript.pyannote[1207].end 5879.82096875
transcript.pyannote[1208].speaker SPEAKER_22
transcript.pyannote[1208].start 5879.82096875
transcript.pyannote[1208].end 5880.02346875
transcript.pyannote[1209].speaker SPEAKER_22
transcript.pyannote[1209].start 5880.22596875
transcript.pyannote[1209].end 5880.27659375
transcript.pyannote[1210].speaker SPEAKER_17
transcript.pyannote[1210].start 5880.27659375
transcript.pyannote[1210].end 5881.20471875
transcript.pyannote[1211].speaker SPEAKER_10
transcript.pyannote[1211].start 5880.49596875
transcript.pyannote[1211].end 5881.23846875
transcript.pyannote[1212].speaker SPEAKER_22
transcript.pyannote[1212].start 5881.20471875
transcript.pyannote[1212].end 5883.80346875
transcript.pyannote[1213].speaker SPEAKER_17
transcript.pyannote[1213].start 5881.23846875
transcript.pyannote[1213].end 5881.32284375
transcript.pyannote[1214].speaker SPEAKER_10
transcript.pyannote[1214].start 5881.32284375
transcript.pyannote[1214].end 5881.40721875
transcript.pyannote[1215].speaker SPEAKER_17
transcript.pyannote[1215].start 5881.40721875
transcript.pyannote[1215].end 5881.96409375
transcript.pyannote[1216].speaker SPEAKER_10
transcript.pyannote[1216].start 5883.60096875
transcript.pyannote[1216].end 5883.78659375
transcript.pyannote[1217].speaker SPEAKER_10
transcript.pyannote[1217].start 5883.80346875
transcript.pyannote[1217].end 5883.98909375
transcript.pyannote[1218].speaker SPEAKER_22
transcript.pyannote[1218].start 5884.09034375
transcript.pyannote[1218].end 5887.17846875
transcript.pyannote[1219].speaker SPEAKER_10
transcript.pyannote[1219].start 5886.43596875
transcript.pyannote[1219].end 5889.25409375
transcript.pyannote[1220].speaker SPEAKER_10
transcript.pyannote[1220].start 5889.76034375
transcript.pyannote[1220].end 5893.35471875
transcript.pyannote[1221].speaker SPEAKER_17
transcript.pyannote[1221].start 5890.19909375
transcript.pyannote[1221].end 5896.30784375
transcript.pyannote[1222].speaker SPEAKER_17
transcript.pyannote[1222].start 5896.76346875
transcript.pyannote[1222].end 5897.57346875
transcript.pyannote[1223].speaker SPEAKER_10
transcript.pyannote[1223].start 5897.57346875
transcript.pyannote[1223].end 5902.21409375
transcript.pyannote[1224].speaker SPEAKER_17
transcript.pyannote[1224].start 5897.59034375
transcript.pyannote[1224].end 5899.53096875
transcript.pyannote[1225].speaker SPEAKER_17
transcript.pyannote[1225].start 5901.23534375
transcript.pyannote[1225].end 5908.52534375
transcript.pyannote[1226].speaker SPEAKER_15
transcript.pyannote[1226].start 5902.21409375
transcript.pyannote[1226].end 5902.60221875
transcript.pyannote[1227].speaker SPEAKER_10
transcript.pyannote[1227].start 5902.60221875
transcript.pyannote[1227].end 5902.99034375
transcript.pyannote[1228].speaker SPEAKER_17
transcript.pyannote[1228].start 5908.76159375
transcript.pyannote[1228].end 5913.46971875
transcript.pyannote[1229].speaker SPEAKER_14
transcript.pyannote[1229].start 5909.74034375
transcript.pyannote[1229].end 5911.05659375
transcript.pyannote[1230].speaker SPEAKER_17
transcript.pyannote[1230].start 5913.95909375
transcript.pyannote[1230].end 5915.25846875
transcript.pyannote[1231].speaker SPEAKER_14
transcript.pyannote[1231].start 5914.00971875
transcript.pyannote[1231].end 5916.67596875
transcript.pyannote[1232].speaker SPEAKER_17
transcript.pyannote[1232].start 5916.43971875
transcript.pyannote[1232].end 5923.24034375
transcript.pyannote[1233].speaker SPEAKER_14
transcript.pyannote[1233].start 5921.13096875
transcript.pyannote[1233].end 5924.80971875
transcript.pyannote[1234].speaker SPEAKER_17
transcript.pyannote[1234].start 5923.88159375
transcript.pyannote[1234].end 5924.33721875
transcript.pyannote[1235].speaker SPEAKER_17
transcript.pyannote[1235].start 5924.80971875
transcript.pyannote[1235].end 5926.27784375
transcript.pyannote[1236].speaker SPEAKER_14
transcript.pyannote[1236].start 5924.82659375
transcript.pyannote[1236].end 5927.98221875
transcript.pyannote[1237].speaker SPEAKER_17
transcript.pyannote[1237].start 5927.18909375
transcript.pyannote[1237].end 5928.79221875
transcript.pyannote[1238].speaker SPEAKER_14
transcript.pyannote[1238].start 5928.04971875
transcript.pyannote[1238].end 5928.16784375
transcript.pyannote[1239].speaker SPEAKER_17
transcript.pyannote[1239].start 5928.87659375
transcript.pyannote[1239].end 5930.34471875
transcript.pyannote[1240].speaker SPEAKER_17
transcript.pyannote[1240].start 5930.53034375
transcript.pyannote[1240].end 5932.58909375
transcript.pyannote[1241].speaker SPEAKER_17
transcript.pyannote[1241].start 5933.09534375
transcript.pyannote[1241].end 5935.15409375
transcript.pyannote[1242].speaker SPEAKER_14
transcript.pyannote[1242].start 5935.66034375
transcript.pyannote[1242].end 5940.46971875
transcript.pyannote[1243].speaker SPEAKER_14
transcript.pyannote[1243].start 5940.50346875
transcript.pyannote[1243].end 5940.63846875
transcript.pyannote[1244].speaker SPEAKER_17
transcript.pyannote[1244].start 5940.63846875
transcript.pyannote[1244].end 5940.75659375
transcript.pyannote[1245].speaker SPEAKER_14
transcript.pyannote[1245].start 5940.75659375
transcript.pyannote[1245].end 5940.89159375
transcript.pyannote[1246].speaker SPEAKER_17
transcript.pyannote[1246].start 5940.89159375
transcript.pyannote[1246].end 5940.90846875
transcript.pyannote[1247].speaker SPEAKER_14
transcript.pyannote[1247].start 5940.90846875
transcript.pyannote[1247].end 5940.92534375
transcript.pyannote[1248].speaker SPEAKER_17
transcript.pyannote[1248].start 5940.92534375
transcript.pyannote[1248].end 5946.96659375
transcript.pyannote[1249].speaker SPEAKER_14
transcript.pyannote[1249].start 5945.17784375
transcript.pyannote[1249].end 5945.93721875
transcript.pyannote[1250].speaker SPEAKER_14
transcript.pyannote[1250].start 5946.24096875
transcript.pyannote[1250].end 5946.89909375
transcript.pyannote[1251].speaker SPEAKER_14
transcript.pyannote[1251].start 5947.27034375
transcript.pyannote[1251].end 5950.91534375
transcript.pyannote[1252].speaker SPEAKER_17
transcript.pyannote[1252].start 5950.91534375
transcript.pyannote[1252].end 5954.72909375
transcript.pyannote[1253].speaker SPEAKER_14
transcript.pyannote[1253].start 5950.99971875
transcript.pyannote[1253].end 5951.01659375
transcript.pyannote[1254].speaker SPEAKER_14
transcript.pyannote[1254].start 5951.40471875
transcript.pyannote[1254].end 5951.80971875
transcript.pyannote[1255].speaker SPEAKER_14
transcript.pyannote[1255].start 5952.77159375
transcript.pyannote[1255].end 5952.94034375
transcript.pyannote[1256].speaker SPEAKER_15
transcript.pyannote[1256].start 5953.64909375
transcript.pyannote[1256].end 5953.75034375
transcript.pyannote[1257].speaker SPEAKER_14
transcript.pyannote[1257].start 5953.75034375
transcript.pyannote[1257].end 5953.76721875
transcript.pyannote[1258].speaker SPEAKER_17
transcript.pyannote[1258].start 5955.45471875
transcript.pyannote[1258].end 5962.59284375
transcript.pyannote[1259].speaker SPEAKER_15
transcript.pyannote[1259].start 5957.88471875
transcript.pyannote[1259].end 5958.05346875
transcript.pyannote[1260].speaker SPEAKER_14
transcript.pyannote[1260].start 5962.59284375
transcript.pyannote[1260].end 5967.65534375
transcript.pyannote[1261].speaker SPEAKER_17
transcript.pyannote[1261].start 5962.71096875
transcript.pyannote[1261].end 5962.74471875
transcript.pyannote[1262].speaker SPEAKER_17
transcript.pyannote[1262].start 5962.76159375
transcript.pyannote[1262].end 5962.77846875
transcript.pyannote[1263].speaker SPEAKER_14
transcript.pyannote[1263].start 5967.73971875
transcript.pyannote[1263].end 5967.77346875
transcript.pyannote[1264].speaker SPEAKER_17
transcript.pyannote[1264].start 5967.77346875
transcript.pyannote[1264].end 5971.77284375
transcript.pyannote[1265].speaker SPEAKER_14
transcript.pyannote[1265].start 5967.79034375
transcript.pyannote[1265].end 5969.51159375
transcript.pyannote[1266].speaker SPEAKER_14
transcript.pyannote[1266].start 5971.01346875
transcript.pyannote[1266].end 5971.60409375
transcript.pyannote[1267].speaker SPEAKER_17
transcript.pyannote[1267].start 5972.09346875
transcript.pyannote[1267].end 5973.44346875
transcript.pyannote[1268].speaker SPEAKER_17
transcript.pyannote[1268].start 5973.91596875
transcript.pyannote[1268].end 5978.65784375
transcript.pyannote[1269].speaker SPEAKER_17
transcript.pyannote[1269].start 5978.92784375
transcript.pyannote[1269].end 5981.74596875
transcript.pyannote[1270].speaker SPEAKER_17
transcript.pyannote[1270].start 5982.75846875
transcript.pyannote[1270].end 5990.57159375
transcript.pyannote[1271].speaker SPEAKER_17
transcript.pyannote[1271].start 5990.90909375
transcript.pyannote[1271].end 5994.95909375
transcript.pyannote[1272].speaker SPEAKER_17
transcript.pyannote[1272].start 5995.48221875
transcript.pyannote[1272].end 5996.49471875
transcript.pyannote[1273].speaker SPEAKER_17
transcript.pyannote[1273].start 5997.03471875
transcript.pyannote[1273].end 6000.15659375
transcript.pyannote[1274].speaker SPEAKER_17
transcript.pyannote[1274].start 6000.81471875
transcript.pyannote[1274].end 6002.01284375
transcript.pyannote[1275].speaker SPEAKER_17
transcript.pyannote[1275].start 6002.94096875
transcript.pyannote[1275].end 6005.03346875
transcript.pyannote[1276].speaker SPEAKER_17
transcript.pyannote[1276].start 6005.77596875
transcript.pyannote[1276].end 6006.51846875
transcript.pyannote[1277].speaker SPEAKER_17
transcript.pyannote[1277].start 6007.24409375
transcript.pyannote[1277].end 6008.77971875
transcript.pyannote[1278].speaker SPEAKER_17
transcript.pyannote[1278].start 6008.94846875
transcript.pyannote[1278].end 6009.84284375
transcript.pyannote[1279].speaker SPEAKER_17
transcript.pyannote[1279].start 6010.33221875
transcript.pyannote[1279].end 6010.90596875
transcript.pyannote[1280].speaker SPEAKER_17
transcript.pyannote[1280].start 6011.78346875
transcript.pyannote[1280].end 6013.72409375
transcript.pyannote[1281].speaker SPEAKER_17
transcript.pyannote[1281].start 6013.97721875
transcript.pyannote[1281].end 6016.12034375
transcript.pyannote[1282].speaker SPEAKER_17
transcript.pyannote[1282].start 6017.89221875
transcript.pyannote[1282].end 6018.46596875
transcript.pyannote[1283].speaker SPEAKER_17
transcript.pyannote[1283].start 6019.32659375
transcript.pyannote[1283].end 6020.10284375
transcript.pyannote[1284].speaker SPEAKER_17
transcript.pyannote[1284].start 6021.09846875
transcript.pyannote[1284].end 6021.57096875
transcript.pyannote[1285].speaker SPEAKER_17
transcript.pyannote[1285].start 6021.97596875
transcript.pyannote[1285].end 6022.29659375
transcript.pyannote[1286].speaker SPEAKER_17
transcript.pyannote[1286].start 6022.71846875
transcript.pyannote[1286].end 6024.22034375
transcript.pyannote[1287].speaker SPEAKER_22
transcript.pyannote[1287].start 6024.54096875
transcript.pyannote[1287].end 6034.39596875
transcript.pyannote[1288].speaker SPEAKER_17
transcript.pyannote[1288].start 6033.19784375
transcript.pyannote[1288].end 6043.45784375
transcript.pyannote[1289].speaker SPEAKER_10
transcript.pyannote[1289].start 6042.02346875
transcript.pyannote[1289].end 6051.91221875
transcript.pyannote[1290].speaker SPEAKER_17
transcript.pyannote[1290].start 6045.66846875
transcript.pyannote[1290].end 6047.32221875
transcript.pyannote[1291].speaker SPEAKER_17
transcript.pyannote[1291].start 6048.14909375
transcript.pyannote[1291].end 6048.84096875
transcript.pyannote[1292].speaker SPEAKER_17
transcript.pyannote[1292].start 6049.81971875
transcript.pyannote[1292].end 6056.09721875
transcript.pyannote[1293].speaker SPEAKER_14
transcript.pyannote[1293].start 6051.91221875
transcript.pyannote[1293].end 6052.87409375
transcript.pyannote[1294].speaker SPEAKER_10
transcript.pyannote[1294].start 6052.87409375
transcript.pyannote[1294].end 6052.90784375
transcript.pyannote[1295].speaker SPEAKER_22
transcript.pyannote[1295].start 6055.59096875
transcript.pyannote[1295].end 6065.46284375
transcript.pyannote[1296].speaker SPEAKER_17
transcript.pyannote[1296].start 6057.02534375
transcript.pyannote[1296].end 6057.32909375
transcript.pyannote[1297].speaker SPEAKER_17
transcript.pyannote[1297].start 6058.03784375
transcript.pyannote[1297].end 6058.69596875
transcript.pyannote[1298].speaker SPEAKER_17
transcript.pyannote[1298].start 6063.03284375
transcript.pyannote[1298].end 6063.45471875
transcript.pyannote[1299].speaker SPEAKER_17
transcript.pyannote[1299].start 6064.43346875
transcript.pyannote[1299].end 6065.81721875
transcript.pyannote[1300].speaker SPEAKER_17
transcript.pyannote[1300].start 6065.88471875
transcript.pyannote[1300].end 6069.46221875
transcript.pyannote[1301].speaker SPEAKER_17
transcript.pyannote[1301].start 6069.96846875
transcript.pyannote[1301].end 6073.51221875
transcript.pyannote[1302].speaker SPEAKER_10
transcript.pyannote[1302].start 6071.01471875
transcript.pyannote[1302].end 6074.38971875
transcript.pyannote[1303].speaker SPEAKER_17
transcript.pyannote[1303].start 6074.44034375
transcript.pyannote[1303].end 6075.31784375
transcript.pyannote[1304].speaker SPEAKER_17
transcript.pyannote[1304].start 6075.52034375
transcript.pyannote[1304].end 6076.90409375
transcript.pyannote[1305].speaker SPEAKER_17
transcript.pyannote[1305].start 6077.29221875
transcript.pyannote[1305].end 6079.26659375
transcript.pyannote[1306].speaker SPEAKER_17
transcript.pyannote[1306].start 6079.65471875
transcript.pyannote[1306].end 6082.13534375
transcript.pyannote[1307].speaker SPEAKER_17
transcript.pyannote[1307].start 6082.62471875
transcript.pyannote[1307].end 6083.41784375
transcript.pyannote[1308].speaker SPEAKER_17
transcript.pyannote[1308].start 6084.07596875
transcript.pyannote[1308].end 6085.05471875
transcript.pyannote[1309].speaker SPEAKER_17
transcript.pyannote[1309].start 6086.23596875
transcript.pyannote[1309].end 6087.28221875
transcript.pyannote[1310].speaker SPEAKER_17
transcript.pyannote[1310].start 6087.58596875
transcript.pyannote[1310].end 6089.30721875
transcript.pyannote[1311].speaker SPEAKER_17
transcript.pyannote[1311].start 6089.42534375
transcript.pyannote[1311].end 6091.51784375
transcript.pyannote[1312].speaker SPEAKER_17
transcript.pyannote[1312].start 6092.07471875
transcript.pyannote[1312].end 6092.95221875
transcript.pyannote[1313].speaker SPEAKER_17
transcript.pyannote[1313].start 6093.69471875
transcript.pyannote[1313].end 6094.31909375
transcript.pyannote[1314].speaker SPEAKER_17
transcript.pyannote[1314].start 6094.75784375
transcript.pyannote[1314].end 6095.70284375
transcript.pyannote[1315].speaker SPEAKER_17
transcript.pyannote[1315].start 6096.15846875
transcript.pyannote[1315].end 6097.59284375
transcript.pyannote[1316].speaker SPEAKER_17
transcript.pyannote[1316].start 6097.86284375
transcript.pyannote[1316].end 6098.72346875
transcript.pyannote[1317].speaker SPEAKER_17
transcript.pyannote[1317].start 6100.09034375
transcript.pyannote[1317].end 6101.69346875
transcript.pyannote[1318].speaker SPEAKER_17
transcript.pyannote[1318].start 6102.09846875
transcript.pyannote[1318].end 6103.66784375
transcript.pyannote[1319].speaker SPEAKER_17
transcript.pyannote[1319].start 6104.22471875
transcript.pyannote[1319].end 6104.64659375
transcript.pyannote[1320].speaker SPEAKER_17
transcript.pyannote[1320].start 6105.52409375
transcript.pyannote[1320].end 6105.87846875
transcript.pyannote[1321].speaker SPEAKER_17
transcript.pyannote[1321].start 6105.96284375
transcript.pyannote[1321].end 6106.04721875
transcript.pyannote[1322].speaker SPEAKER_17
transcript.pyannote[1322].start 6106.09784375
transcript.pyannote[1322].end 6107.11034375
transcript.pyannote[1323].speaker SPEAKER_17
transcript.pyannote[1323].start 6107.51534375
transcript.pyannote[1323].end 6109.97909375
transcript.pyannote[1324].speaker SPEAKER_14
transcript.pyannote[1324].start 6109.59096875
transcript.pyannote[1324].end 6119.41221875
transcript.pyannote[1325].speaker SPEAKER_17
transcript.pyannote[1325].start 6115.02471875
transcript.pyannote[1325].end 6116.54346875
transcript.pyannote[1326].speaker SPEAKER_17
transcript.pyannote[1326].start 6116.83034375
transcript.pyannote[1326].end 6117.80909375
transcript.pyannote[1327].speaker SPEAKER_17
transcript.pyannote[1327].start 6119.41221875
transcript.pyannote[1327].end 6119.42909375
transcript.pyannote[1328].speaker SPEAKER_14
transcript.pyannote[1328].start 6119.42909375
transcript.pyannote[1328].end 6121.09971875
transcript.pyannote[1329].speaker SPEAKER_17
transcript.pyannote[1329].start 6119.44596875
transcript.pyannote[1329].end 6131.07284375
transcript.pyannote[1330].speaker SPEAKER_22
transcript.pyannote[1330].start 6130.17846875
transcript.pyannote[1330].end 6135.07221875
transcript.pyannote[1331].speaker SPEAKER_22
transcript.pyannote[1331].start 6135.24096875
transcript.pyannote[1331].end 6139.84784375
transcript.pyannote[1332].speaker SPEAKER_22
transcript.pyannote[1332].start 6140.06721875
transcript.pyannote[1332].end 6140.55659375
transcript.pyannote[1333].speaker SPEAKER_22
transcript.pyannote[1333].start 6141.34971875
transcript.pyannote[1333].end 6142.42971875
transcript.pyannote[1334].speaker SPEAKER_22
transcript.pyannote[1334].start 6142.96971875
transcript.pyannote[1334].end 6145.02846875
transcript.pyannote[1335].speaker SPEAKER_17
transcript.pyannote[1335].start 6144.30284375
transcript.pyannote[1335].end 6147.57659375
transcript.pyannote[1336].speaker SPEAKER_10
transcript.pyannote[1336].start 6145.85534375
transcript.pyannote[1336].end 6183.13221875
transcript.pyannote[1337].speaker SPEAKER_17
transcript.pyannote[1337].start 6150.88409375
transcript.pyannote[1337].end 6152.20034375
transcript.pyannote[1338].speaker SPEAKER_18
transcript.pyannote[1338].start 6152.20034375
transcript.pyannote[1338].end 6152.21721875
transcript.pyannote[1339].speaker SPEAKER_17
transcript.pyannote[1339].start 6153.34784375
transcript.pyannote[1339].end 6153.97221875
transcript.pyannote[1340].speaker SPEAKER_00
transcript.pyannote[1340].start 6153.97221875
transcript.pyannote[1340].end 6154.17471875
transcript.pyannote[1341].speaker SPEAKER_18
transcript.pyannote[1341].start 6154.17471875
transcript.pyannote[1341].end 6154.20846875
transcript.pyannote[1342].speaker SPEAKER_17
transcript.pyannote[1342].start 6154.20846875
transcript.pyannote[1342].end 6154.32659375
transcript.pyannote[1343].speaker SPEAKER_17
transcript.pyannote[1343].start 6169.58159375
transcript.pyannote[1343].end 6170.74596875
transcript.pyannote[1344].speaker SPEAKER_15
transcript.pyannote[1344].start 6170.74596875
transcript.pyannote[1344].end 6171.28596875
transcript.pyannote[1345].speaker SPEAKER_00
transcript.pyannote[1345].start 6171.28596875
transcript.pyannote[1345].end 6171.33659375
transcript.pyannote[1346].speaker SPEAKER_17
transcript.pyannote[1346].start 6171.33659375
transcript.pyannote[1346].end 6171.53909375
transcript.pyannote[1347].speaker SPEAKER_00
transcript.pyannote[1347].start 6171.53909375
transcript.pyannote[1347].end 6171.55596875
transcript.pyannote[1348].speaker SPEAKER_00
transcript.pyannote[1348].start 6172.97346875
transcript.pyannote[1348].end 6173.86784375
transcript.pyannote[1349].speaker SPEAKER_00
transcript.pyannote[1349].start 6174.42471875
transcript.pyannote[1349].end 6175.03221875
transcript.pyannote[1350].speaker SPEAKER_17
transcript.pyannote[1350].start 6175.03221875
transcript.pyannote[1350].end 6175.50471875
transcript.pyannote[1351].speaker SPEAKER_00
transcript.pyannote[1351].start 6175.50471875
transcript.pyannote[1351].end 6175.69034375
transcript.pyannote[1352].speaker SPEAKER_17
transcript.pyannote[1352].start 6175.69034375
transcript.pyannote[1352].end 6175.90971875
transcript.pyannote[1353].speaker SPEAKER_00
transcript.pyannote[1353].start 6175.90971875
transcript.pyannote[1353].end 6175.92659375
transcript.pyannote[1354].speaker SPEAKER_17
transcript.pyannote[1354].start 6178.20471875
transcript.pyannote[1354].end 6178.66034375
transcript.pyannote[1355].speaker SPEAKER_17
transcript.pyannote[1355].start 6180.76971875
transcript.pyannote[1355].end 6183.26721875
transcript.pyannote[1356].speaker SPEAKER_17
transcript.pyannote[1356].start 6183.41909375
transcript.pyannote[1356].end 6184.71846875
transcript.pyannote[1357].speaker SPEAKER_17
transcript.pyannote[1357].start 6184.87034375
transcript.pyannote[1357].end 6188.36346875
transcript.pyannote[1358].speaker SPEAKER_17
transcript.pyannote[1358].start 6188.43096875
transcript.pyannote[1358].end 6194.32034375
transcript.pyannote[1359].speaker SPEAKER_10
transcript.pyannote[1359].start 6191.62034375
transcript.pyannote[1359].end 6192.73409375
transcript.pyannote[1360].speaker SPEAKER_10
transcript.pyannote[1360].start 6193.62846875
transcript.pyannote[1360].end 6198.80909375
transcript.pyannote[1361].speaker SPEAKER_17
transcript.pyannote[1361].start 6195.58596875
transcript.pyannote[1361].end 6195.60284375
transcript.pyannote[1362].speaker SPEAKER_14
transcript.pyannote[1362].start 6195.60284375
transcript.pyannote[1362].end 6203.73659375
transcript.pyannote[1363].speaker SPEAKER_17
transcript.pyannote[1363].start 6201.30659375
transcript.pyannote[1363].end 6206.30159375
transcript.pyannote[1364].speaker SPEAKER_17
transcript.pyannote[1364].start 6206.50409375
transcript.pyannote[1364].end 6208.98471875
transcript.pyannote[1365].speaker SPEAKER_17
transcript.pyannote[1365].start 6209.32221875
transcript.pyannote[1365].end 6210.04784375
transcript.pyannote[1366].speaker SPEAKER_17
transcript.pyannote[1366].start 6210.31784375
transcript.pyannote[1366].end 6211.63409375
transcript.pyannote[1367].speaker SPEAKER_17
transcript.pyannote[1367].start 6212.19096875
transcript.pyannote[1367].end 6213.40596875
transcript.pyannote[1368].speaker SPEAKER_17
transcript.pyannote[1368].start 6213.81096875
transcript.pyannote[1368].end 6214.41846875
transcript.pyannote[1369].speaker SPEAKER_17
transcript.pyannote[1369].start 6214.51971875
transcript.pyannote[1369].end 6217.43909375
transcript.pyannote[1370].speaker SPEAKER_17
transcript.pyannote[1370].start 6218.11409375
transcript.pyannote[1370].end 6225.79221875
transcript.pyannote[1371].speaker SPEAKER_14
transcript.pyannote[1371].start 6222.04596875
transcript.pyannote[1371].end 6222.68721875
transcript.pyannote[1372].speaker SPEAKER_14
transcript.pyannote[1372].start 6222.88971875
transcript.pyannote[1372].end 6227.76659375
transcript.pyannote[1373].speaker SPEAKER_17
transcript.pyannote[1373].start 6227.15909375
transcript.pyannote[1373].end 6230.90534375
transcript.pyannote[1374].speaker SPEAKER_14
transcript.pyannote[1374].start 6227.91846875
transcript.pyannote[1374].end 6228.05346875
transcript.pyannote[1375].speaker SPEAKER_17
transcript.pyannote[1375].start 6231.20909375
transcript.pyannote[1375].end 6232.84596875
transcript.pyannote[1376].speaker SPEAKER_17
transcript.pyannote[1376].start 6233.03159375
transcript.pyannote[1376].end 6235.10721875
transcript.pyannote[1377].speaker SPEAKER_17
transcript.pyannote[1377].start 6236.23784375
transcript.pyannote[1377].end 6237.25034375
transcript.pyannote[1378].speaker SPEAKER_17
transcript.pyannote[1378].start 6237.95909375
transcript.pyannote[1378].end 6238.76909375
transcript.pyannote[1379].speaker SPEAKER_17
transcript.pyannote[1379].start 6239.69721875
transcript.pyannote[1379].end 6240.47346875
transcript.pyannote[1380].speaker SPEAKER_17
transcript.pyannote[1380].start 6241.57034375
transcript.pyannote[1380].end 6243.98346875
transcript.pyannote[1381].speaker SPEAKER_17
transcript.pyannote[1381].start 6244.23659375
transcript.pyannote[1381].end 6245.67096875
transcript.pyannote[1382].speaker SPEAKER_17
transcript.pyannote[1382].start 6246.24471875
transcript.pyannote[1382].end 6246.70034375
transcript.pyannote[1383].speaker SPEAKER_17
transcript.pyannote[1383].start 6247.83096875
transcript.pyannote[1383].end 6248.92784375
transcript.pyannote[1384].speaker SPEAKER_17
transcript.pyannote[1384].start 6249.75471875
transcript.pyannote[1384].end 6252.08346875
transcript.pyannote[1385].speaker SPEAKER_17
transcript.pyannote[1385].start 6252.25221875
transcript.pyannote[1385].end 6253.38284375
transcript.pyannote[1386].speaker SPEAKER_17
transcript.pyannote[1386].start 6254.19284375
transcript.pyannote[1386].end 6255.86346875
transcript.pyannote[1387].speaker SPEAKER_17
transcript.pyannote[1387].start 6257.09534375
transcript.pyannote[1387].end 6258.68159375
transcript.pyannote[1388].speaker SPEAKER_17
transcript.pyannote[1388].start 6260.09909375
transcript.pyannote[1388].end 6260.90909375
transcript.pyannote[1389].speaker SPEAKER_17
transcript.pyannote[1389].start 6262.47846875
transcript.pyannote[1389].end 6263.33909375
transcript.pyannote[1390].speaker SPEAKER_17
transcript.pyannote[1390].start 6264.26721875
transcript.pyannote[1390].end 6264.95909375
transcript.pyannote[1391].speaker SPEAKER_17
transcript.pyannote[1391].start 6265.43159375
transcript.pyannote[1391].end 6266.62971875
transcript.pyannote[1392].speaker SPEAKER_17
transcript.pyannote[1392].start 6266.78159375
transcript.pyannote[1392].end 6267.86159375
transcript.pyannote[1393].speaker SPEAKER_17
transcript.pyannote[1393].start 6268.26659375
transcript.pyannote[1393].end 6268.72221875
transcript.pyannote[1394].speaker SPEAKER_17
transcript.pyannote[1394].start 6268.94159375
transcript.pyannote[1394].end 6284.98971875
transcript.pyannote[1395].speaker SPEAKER_14
transcript.pyannote[1395].start 6273.14346875
transcript.pyannote[1395].end 6273.68346875
transcript.pyannote[1396].speaker SPEAKER_22
transcript.pyannote[1396].start 6280.75409375
transcript.pyannote[1396].end 6281.66534375
transcript.pyannote[1397].speaker SPEAKER_22
transcript.pyannote[1397].start 6284.98971875
transcript.pyannote[1397].end 6289.30971875
transcript.pyannote[1398].speaker SPEAKER_17
transcript.pyannote[1398].start 6285.02346875
transcript.pyannote[1398].end 6285.81659375
transcript.pyannote[1399].speaker SPEAKER_15
transcript.pyannote[1399].start 6289.15784375
transcript.pyannote[1399].end 6289.54596875
transcript.pyannote[1400].speaker SPEAKER_22
transcript.pyannote[1400].start 6289.54596875
transcript.pyannote[1400].end 6296.11034375
transcript.pyannote[1401].speaker SPEAKER_22
transcript.pyannote[1401].start 6296.34659375
transcript.pyannote[1401].end 6298.60784375
transcript.pyannote[1402].speaker SPEAKER_17
transcript.pyannote[1402].start 6297.69659375
transcript.pyannote[1402].end 6298.59096875
transcript.pyannote[1403].speaker SPEAKER_17
transcript.pyannote[1403].start 6298.60784375
transcript.pyannote[1403].end 6299.53596875
transcript.pyannote[1404].speaker SPEAKER_22
transcript.pyannote[1404].start 6299.53596875
transcript.pyannote[1404].end 6300.14346875
transcript.pyannote[1405].speaker SPEAKER_22
transcript.pyannote[1405].start 6300.21096875
transcript.pyannote[1405].end 6313.67721875
transcript.pyannote[1406].speaker SPEAKER_17
transcript.pyannote[1406].start 6303.60284375
transcript.pyannote[1406].end 6304.15971875
transcript.pyannote[1407].speaker SPEAKER_17
transcript.pyannote[1407].start 6309.12096875
transcript.pyannote[1407].end 6309.59346875
transcript.pyannote[1408].speaker SPEAKER_17
transcript.pyannote[1408].start 6311.19659375
transcript.pyannote[1408].end 6311.66909375
transcript.pyannote[1409].speaker SPEAKER_17
transcript.pyannote[1409].start 6311.77034375
transcript.pyannote[1409].end 6311.78721875
transcript.pyannote[1410].speaker SPEAKER_17
transcript.pyannote[1410].start 6311.80409375
transcript.pyannote[1410].end 6313.55909375
transcript.pyannote[1411].speaker SPEAKER_17
transcript.pyannote[1411].start 6313.67721875
transcript.pyannote[1411].end 6316.56284375
transcript.pyannote[1412].speaker SPEAKER_10
transcript.pyannote[1412].start 6316.56284375
transcript.pyannote[1412].end 6317.05221875
transcript.pyannote[1413].speaker SPEAKER_17
transcript.pyannote[1413].start 6316.64721875
transcript.pyannote[1413].end 6317.00159375
transcript.pyannote[1414].speaker SPEAKER_17
transcript.pyannote[1414].start 6317.05221875
transcript.pyannote[1414].end 6317.74409375
transcript.pyannote[1415].speaker SPEAKER_10
transcript.pyannote[1415].start 6317.74409375
transcript.pyannote[1415].end 6319.90409375
transcript.pyannote[1416].speaker SPEAKER_10
transcript.pyannote[1416].start 6320.07284375
transcript.pyannote[1416].end 6328.03784375
transcript.pyannote[1417].speaker SPEAKER_17
transcript.pyannote[1417].start 6320.10659375
transcript.pyannote[1417].end 6322.63784375
transcript.pyannote[1418].speaker SPEAKER_17
transcript.pyannote[1418].start 6322.97534375
transcript.pyannote[1418].end 6323.97096875
transcript.pyannote[1419].speaker SPEAKER_00
transcript.pyannote[1419].start 6323.97096875
transcript.pyannote[1419].end 6324.03846875
transcript.pyannote[1420].speaker SPEAKER_17
transcript.pyannote[1420].start 6324.03846875
transcript.pyannote[1420].end 6324.20721875
transcript.pyannote[1421].speaker SPEAKER_17
transcript.pyannote[1421].start 6326.40096875
transcript.pyannote[1421].end 6327.12659375
transcript.pyannote[1422].speaker SPEAKER_17
transcript.pyannote[1422].start 6328.03784375
transcript.pyannote[1422].end 6328.24034375
transcript.pyannote[1423].speaker SPEAKER_10
transcript.pyannote[1423].start 6328.24034375
transcript.pyannote[1423].end 6332.52659375
transcript.pyannote[1424].speaker SPEAKER_17
transcript.pyannote[1424].start 6328.29096875
transcript.pyannote[1424].end 6329.01659375
transcript.pyannote[1425].speaker SPEAKER_17
transcript.pyannote[1425].start 6329.43846875
transcript.pyannote[1425].end 6338.58471875
transcript.pyannote[1426].speaker SPEAKER_14
transcript.pyannote[1426].start 6334.18034375
transcript.pyannote[1426].end 6334.28159375
transcript.pyannote[1427].speaker SPEAKER_10
transcript.pyannote[1427].start 6334.28159375
transcript.pyannote[1427].end 6334.78784375
transcript.pyannote[1428].speaker SPEAKER_14
transcript.pyannote[1428].start 6334.78784375
transcript.pyannote[1428].end 6336.20534375
transcript.pyannote[1429].speaker SPEAKER_14
transcript.pyannote[1429].start 6336.74534375
transcript.pyannote[1429].end 6337.55534375
transcript.pyannote[1430].speaker SPEAKER_17
transcript.pyannote[1430].start 6338.71971875
transcript.pyannote[1430].end 6339.96846875
transcript.pyannote[1431].speaker SPEAKER_14
transcript.pyannote[1431].start 6339.96846875
transcript.pyannote[1431].end 6340.03596875
transcript.pyannote[1432].speaker SPEAKER_17
transcript.pyannote[1432].start 6340.03596875
transcript.pyannote[1432].end 6340.28909375
transcript.pyannote[1433].speaker SPEAKER_14
transcript.pyannote[1433].start 6340.28909375
transcript.pyannote[1433].end 6340.35659375
transcript.pyannote[1434].speaker SPEAKER_17
transcript.pyannote[1434].start 6340.35659375
transcript.pyannote[1434].end 6340.96409375
transcript.pyannote[1435].speaker SPEAKER_14
transcript.pyannote[1435].start 6340.96409375
transcript.pyannote[1435].end 6341.68971875
transcript.pyannote[1436].speaker SPEAKER_17
transcript.pyannote[1436].start 6341.68971875
transcript.pyannote[1436].end 6341.75721875
transcript.pyannote[1437].speaker SPEAKER_14
transcript.pyannote[1437].start 6341.75721875
transcript.pyannote[1437].end 6345.80721875
transcript.pyannote[1438].speaker SPEAKER_17
transcript.pyannote[1438].start 6341.77409375
transcript.pyannote[1438].end 6343.78221875
transcript.pyannote[1439].speaker SPEAKER_17
transcript.pyannote[1439].start 6345.80721875
transcript.pyannote[1439].end 6347.96721875
transcript.pyannote[1440].speaker SPEAKER_14
transcript.pyannote[1440].start 6347.96721875
transcript.pyannote[1440].end 6348.27096875
transcript.pyannote[1441].speaker SPEAKER_14
transcript.pyannote[1441].start 6348.28784375
transcript.pyannote[1441].end 6350.04284375
transcript.pyannote[1442].speaker SPEAKER_17
transcript.pyannote[1442].start 6349.31721875
transcript.pyannote[1442].end 6350.22846875
transcript.pyannote[1443].speaker SPEAKER_17
transcript.pyannote[1443].start 6350.41409375
transcript.pyannote[1443].end 6356.86034375
transcript.pyannote[1444].speaker SPEAKER_14
transcript.pyannote[1444].start 6350.51534375
transcript.pyannote[1444].end 6351.93284375
transcript.pyannote[1445].speaker SPEAKER_14
transcript.pyannote[1445].start 6353.14784375
transcript.pyannote[1445].end 6353.99159375
transcript.pyannote[1446].speaker SPEAKER_14
transcript.pyannote[1446].start 6356.94471875
transcript.pyannote[1446].end 6361.60221875
transcript.pyannote[1447].speaker SPEAKER_17
transcript.pyannote[1447].start 6358.63221875
transcript.pyannote[1447].end 6359.22284375
transcript.pyannote[1448].speaker SPEAKER_10
transcript.pyannote[1448].start 6360.72471875
transcript.pyannote[1448].end 6361.55159375
transcript.pyannote[1449].speaker SPEAKER_10
transcript.pyannote[1449].start 6361.60221875
transcript.pyannote[1449].end 6362.32784375
transcript.pyannote[1450].speaker SPEAKER_14
transcript.pyannote[1450].start 6362.12534375
transcript.pyannote[1450].end 6363.12096875
transcript.pyannote[1451].speaker SPEAKER_17
transcript.pyannote[1451].start 6362.32784375
transcript.pyannote[1451].end 6362.96909375
transcript.pyannote[1452].speaker SPEAKER_10
transcript.pyannote[1452].start 6362.96909375
transcript.pyannote[1452].end 6365.01096875
transcript.pyannote[1453].speaker SPEAKER_17
transcript.pyannote[1453].start 6363.12096875
transcript.pyannote[1453].end 6367.00221875
transcript.pyannote[1454].speaker SPEAKER_14
transcript.pyannote[1454].start 6365.01096875
transcript.pyannote[1454].end 6365.04471875
transcript.pyannote[1455].speaker SPEAKER_10
transcript.pyannote[1455].start 6365.04471875
transcript.pyannote[1455].end 6365.36534375
transcript.pyannote[1456].speaker SPEAKER_17
transcript.pyannote[1456].start 6367.17096875
transcript.pyannote[1456].end 6370.05659375
transcript.pyannote[1457].speaker SPEAKER_17
transcript.pyannote[1457].start 6370.49534375
transcript.pyannote[1457].end 6371.55846875
transcript.pyannote[1458].speaker SPEAKER_17
transcript.pyannote[1458].start 6372.46971875
transcript.pyannote[1458].end 6372.99284375
transcript.pyannote[1459].speaker SPEAKER_17
transcript.pyannote[1459].start 6373.27971875
transcript.pyannote[1459].end 6375.30471875
transcript.pyannote[1460].speaker SPEAKER_17
transcript.pyannote[1460].start 6375.77721875
transcript.pyannote[1460].end 6378.08909375
transcript.pyannote[1461].speaker SPEAKER_17
transcript.pyannote[1461].start 6378.61221875
transcript.pyannote[1461].end 6379.50659375
transcript.pyannote[1462].speaker SPEAKER_17
transcript.pyannote[1462].start 6379.74284375
transcript.pyannote[1462].end 6380.95784375
transcript.pyannote[1463].speaker SPEAKER_17
transcript.pyannote[1463].start 6381.36284375
transcript.pyannote[1463].end 6382.83096875
transcript.pyannote[1464].speaker SPEAKER_17
transcript.pyannote[1464].start 6383.33721875
transcript.pyannote[1464].end 6386.50971875
transcript.pyannote[1465].speaker SPEAKER_17
transcript.pyannote[1465].start 6387.60659375
transcript.pyannote[1465].end 6389.53034375
transcript.pyannote[1466].speaker SPEAKER_17
transcript.pyannote[1466].start 6390.28971875
transcript.pyannote[1466].end 6394.17096875
transcript.pyannote[1467].speaker SPEAKER_17
transcript.pyannote[1467].start 6394.44096875
transcript.pyannote[1467].end 6395.48721875
transcript.pyannote[1468].speaker SPEAKER_17
transcript.pyannote[1468].start 6396.07784375
transcript.pyannote[1468].end 6396.36471875
transcript.pyannote[1469].speaker SPEAKER_17
transcript.pyannote[1469].start 6396.71909375
transcript.pyannote[1469].end 6398.18721875
transcript.pyannote[1470].speaker SPEAKER_17
transcript.pyannote[1470].start 6399.28409375
transcript.pyannote[1470].end 6401.02221875
transcript.pyannote[1471].speaker SPEAKER_17
transcript.pyannote[1471].start 6402.03471875
transcript.pyannote[1471].end 6404.61659375
transcript.pyannote[1472].speaker SPEAKER_17
transcript.pyannote[1472].start 6404.92034375
transcript.pyannote[1472].end 6407.62034375
transcript.pyannote[1473].speaker SPEAKER_14
transcript.pyannote[1473].start 6408.27846875
transcript.pyannote[1473].end 6415.50096875
transcript.pyannote[1474].speaker SPEAKER_17
transcript.pyannote[1474].start 6409.44284375
transcript.pyannote[1474].end 6410.16846875
transcript.pyannote[1475].speaker SPEAKER_14
transcript.pyannote[1475].start 6415.65284375
transcript.pyannote[1475].end 6420.71534375
transcript.pyannote[1476].speaker SPEAKER_14
transcript.pyannote[1476].start 6421.06971875
transcript.pyannote[1476].end 6427.53284375
transcript.pyannote[1477].speaker SPEAKER_17
transcript.pyannote[1477].start 6422.36909375
transcript.pyannote[1477].end 6423.85409375
transcript.pyannote[1478].speaker SPEAKER_00
transcript.pyannote[1478].start 6424.93409375
transcript.pyannote[1478].end 6424.98471875
transcript.pyannote[1479].speaker SPEAKER_17
transcript.pyannote[1479].start 6424.98471875
transcript.pyannote[1479].end 6425.45721875
transcript.pyannote[1480].speaker SPEAKER_00
transcript.pyannote[1480].start 6425.45721875
transcript.pyannote[1480].end 6425.96346875
transcript.pyannote[1481].speaker SPEAKER_17
transcript.pyannote[1481].start 6427.29659375
transcript.pyannote[1481].end 6428.83221875
transcript.pyannote[1482].speaker SPEAKER_14
transcript.pyannote[1482].start 6428.83221875
transcript.pyannote[1482].end 6429.01784375
transcript.pyannote[1483].speaker SPEAKER_17
transcript.pyannote[1483].start 6429.01784375
transcript.pyannote[1483].end 6429.05159375
transcript.pyannote[1484].speaker SPEAKER_17
transcript.pyannote[1484].start 6429.49034375
transcript.pyannote[1484].end 6429.50721875
transcript.pyannote[1485].speaker SPEAKER_14
transcript.pyannote[1485].start 6429.50721875
transcript.pyannote[1485].end 6431.66721875
transcript.pyannote[1486].speaker SPEAKER_17
transcript.pyannote[1486].start 6430.92471875
transcript.pyannote[1486].end 6436.18971875
transcript.pyannote[1487].speaker SPEAKER_14
transcript.pyannote[1487].start 6432.22409375
transcript.pyannote[1487].end 6433.03409375
transcript.pyannote[1488].speaker SPEAKER_14
transcript.pyannote[1488].start 6433.69221875
transcript.pyannote[1488].end 6434.48534375
transcript.pyannote[1489].speaker SPEAKER_14
transcript.pyannote[1489].start 6434.94096875
transcript.pyannote[1489].end 6435.17721875
transcript.pyannote[1490].speaker SPEAKER_17
transcript.pyannote[1490].start 6436.40909375
transcript.pyannote[1490].end 6439.44659375
transcript.pyannote[1491].speaker SPEAKER_17
transcript.pyannote[1491].start 6440.83034375
transcript.pyannote[1491].end 6442.99034375
transcript.pyannote[1492].speaker SPEAKER_17
transcript.pyannote[1492].start 6444.23909375
transcript.pyannote[1492].end 6444.59346875
transcript.pyannote[1493].speaker SPEAKER_17
transcript.pyannote[1493].start 6445.11659375
transcript.pyannote[1493].end 6447.31034375
transcript.pyannote[1494].speaker SPEAKER_22
transcript.pyannote[1494].start 6447.90096875
transcript.pyannote[1494].end 6454.38096875
transcript.pyannote[1495].speaker SPEAKER_17
transcript.pyannote[1495].start 6452.40659375
transcript.pyannote[1495].end 6453.28409375
transcript.pyannote[1496].speaker SPEAKER_10
transcript.pyannote[1496].start 6453.28409375
transcript.pyannote[1496].end 6453.58784375
transcript.pyannote[1497].speaker SPEAKER_10
transcript.pyannote[1497].start 6453.85784375
transcript.pyannote[1497].end 6456.57471875
transcript.pyannote[1498].speaker SPEAKER_10
transcript.pyannote[1498].start 6456.87846875
transcript.pyannote[1498].end 6456.89534375
transcript.pyannote[1499].speaker SPEAKER_17
transcript.pyannote[1499].start 6456.89534375
transcript.pyannote[1499].end 6457.41846875
transcript.pyannote[1500].speaker SPEAKER_17
transcript.pyannote[1500].start 6457.46909375
transcript.pyannote[1500].end 6464.79284375
transcript.pyannote[1501].speaker SPEAKER_11
transcript.pyannote[1501].start 6470.22659375
transcript.pyannote[1501].end 6474.27659375
transcript.pyannote[1502].speaker SPEAKER_11
transcript.pyannote[1502].start 6486.81471875
transcript.pyannote[1502].end 6491.79284375
transcript.pyannote[1503].speaker SPEAKER_06
transcript.pyannote[1503].start 6507.08159375
transcript.pyannote[1503].end 6508.44846875
transcript.pyannote[1504].speaker SPEAKER_06
transcript.pyannote[1504].start 6508.66784375
transcript.pyannote[1504].end 6511.85721875
transcript.pyannote[1505].speaker SPEAKER_11
transcript.pyannote[1505].start 6512.12721875
transcript.pyannote[1505].end 6513.96659375
transcript.pyannote[1506].speaker SPEAKER_22
transcript.pyannote[1506].start 6523.93971875
transcript.pyannote[1506].end 6524.44596875
transcript.pyannote[1507].speaker SPEAKER_06
transcript.pyannote[1507].start 6524.44596875
transcript.pyannote[1507].end 6524.46284375
transcript.pyannote[1508].speaker SPEAKER_06
transcript.pyannote[1508].start 6525.15471875
transcript.pyannote[1508].end 6526.60596875
transcript.pyannote[1509].speaker SPEAKER_06
transcript.pyannote[1509].start 6526.94346875
transcript.pyannote[1509].end 6534.94221875
transcript.pyannote[1510].speaker SPEAKER_06
transcript.pyannote[1510].start 6535.39784375
transcript.pyannote[1510].end 6544.52721875
transcript.pyannote[1511].speaker SPEAKER_06
transcript.pyannote[1511].start 6544.89846875
transcript.pyannote[1511].end 6549.15096875
transcript.pyannote[1512].speaker SPEAKER_06
transcript.pyannote[1512].start 6549.38721875
transcript.pyannote[1512].end 6555.58034375
transcript.pyannote[1513].speaker SPEAKER_06
transcript.pyannote[1513].start 6555.59721875
transcript.pyannote[1513].end 6558.93846875
transcript.pyannote[1514].speaker SPEAKER_06
transcript.pyannote[1514].start 6559.30971875
transcript.pyannote[1514].end 6562.38096875
transcript.pyannote[1515].speaker SPEAKER_06
transcript.pyannote[1515].start 6562.68471875
transcript.pyannote[1515].end 6565.65471875
transcript.pyannote[1516].speaker SPEAKER_06
transcript.pyannote[1516].start 6565.92471875
transcript.pyannote[1516].end 6567.27471875
transcript.pyannote[1517].speaker SPEAKER_06
transcript.pyannote[1517].start 6567.56159375
transcript.pyannote[1517].end 6574.22721875
transcript.pyannote[1518].speaker SPEAKER_06
transcript.pyannote[1518].start 6574.41284375
transcript.pyannote[1518].end 6577.92284375
transcript.pyannote[1519].speaker SPEAKER_06
transcript.pyannote[1519].start 6578.09159375
transcript.pyannote[1519].end 6578.68221875
transcript.pyannote[1520].speaker SPEAKER_06
transcript.pyannote[1520].start 6578.91846875
transcript.pyannote[1520].end 6583.28909375
transcript.pyannote[1521].speaker SPEAKER_06
transcript.pyannote[1521].start 6583.66034375
transcript.pyannote[1521].end 6589.73534375
transcript.pyannote[1522].speaker SPEAKER_06
transcript.pyannote[1522].start 6590.02221875
transcript.pyannote[1522].end 6591.49034375
transcript.pyannote[1523].speaker SPEAKER_06
transcript.pyannote[1523].start 6591.62534375
transcript.pyannote[1523].end 6596.73846875
transcript.pyannote[1524].speaker SPEAKER_06
transcript.pyannote[1524].start 6596.80596875
transcript.pyannote[1524].end 6603.84284375
transcript.pyannote[1525].speaker SPEAKER_06
transcript.pyannote[1525].start 6604.31534375
transcript.pyannote[1525].end 6607.30221875
transcript.pyannote[1526].speaker SPEAKER_06
transcript.pyannote[1526].start 6607.63971875
transcript.pyannote[1526].end 6609.00659375
transcript.pyannote[1527].speaker SPEAKER_06
transcript.pyannote[1527].start 6609.37784375
transcript.pyannote[1527].end 6614.38971875
transcript.pyannote[1528].speaker SPEAKER_06
transcript.pyannote[1528].start 6614.84534375
transcript.pyannote[1528].end 6617.69721875
transcript.pyannote[1529].speaker SPEAKER_06
transcript.pyannote[1529].start 6617.93346875
transcript.pyannote[1529].end 6620.97096875
transcript.pyannote[1530].speaker SPEAKER_06
transcript.pyannote[1530].start 6621.20721875
transcript.pyannote[1530].end 6624.27846875
transcript.pyannote[1531].speaker SPEAKER_06
transcript.pyannote[1531].start 6624.68346875
transcript.pyannote[1531].end 6626.21909375
transcript.pyannote[1532].speaker SPEAKER_06
transcript.pyannote[1532].start 6626.43846875
transcript.pyannote[1532].end 6641.11971875
transcript.pyannote[1533].speaker SPEAKER_06
transcript.pyannote[1533].start 6641.27159375
transcript.pyannote[1533].end 6644.69721875
transcript.pyannote[1534].speaker SPEAKER_06
transcript.pyannote[1534].start 6645.11909375
transcript.pyannote[1534].end 6646.95846875
transcript.pyannote[1535].speaker SPEAKER_06
transcript.pyannote[1535].start 6647.14409375
transcript.pyannote[1535].end 6647.86971875
transcript.pyannote[1536].speaker SPEAKER_06
transcript.pyannote[1536].start 6647.98784375
transcript.pyannote[1536].end 6653.13471875
transcript.pyannote[1537].speaker SPEAKER_22
transcript.pyannote[1537].start 6655.21034375
transcript.pyannote[1537].end 6658.70346875
transcript.pyannote[1538].speaker SPEAKER_22
transcript.pyannote[1538].start 6659.85096875
transcript.pyannote[1538].end 6665.85846875
transcript.pyannote[1539].speaker SPEAKER_22
transcript.pyannote[1539].start 6666.31409375
transcript.pyannote[1539].end 6668.65971875
transcript.pyannote[1540].speaker SPEAKER_22
transcript.pyannote[1540].start 6669.16596875
transcript.pyannote[1540].end 6671.25846875
transcript.pyannote[1541].speaker SPEAKER_22
transcript.pyannote[1541].start 6671.64659375
transcript.pyannote[1541].end 6676.45596875
transcript.pyannote[1542].speaker SPEAKER_22
transcript.pyannote[1542].start 6676.65846875
transcript.pyannote[1542].end 6678.39659375
transcript.pyannote[1543].speaker SPEAKER_22
transcript.pyannote[1543].start 6678.68346875
transcript.pyannote[1543].end 6679.59471875
transcript.pyannote[1544].speaker SPEAKER_22
transcript.pyannote[1544].start 6679.72971875
transcript.pyannote[1544].end 6681.50159375
transcript.pyannote[1545].speaker SPEAKER_22
transcript.pyannote[1545].start 6681.68721875
transcript.pyannote[1545].end 6685.02846875
transcript.pyannote[1546].speaker SPEAKER_22
transcript.pyannote[1546].start 6685.18034375
transcript.pyannote[1546].end 6686.27721875
transcript.pyannote[1547].speaker SPEAKER_22
transcript.pyannote[1547].start 6686.86784375
transcript.pyannote[1547].end 6690.58034375
transcript.pyannote[1548].speaker SPEAKER_22
transcript.pyannote[1548].start 6690.79971875
transcript.pyannote[1548].end 6693.19596875
transcript.pyannote[1549].speaker SPEAKER_06
transcript.pyannote[1549].start 6693.19596875
transcript.pyannote[1549].end 6693.22971875
transcript.pyannote[1550].speaker SPEAKER_22
transcript.pyannote[1550].start 6693.53346875
transcript.pyannote[1550].end 6694.02284375
transcript.pyannote[1551].speaker SPEAKER_06
transcript.pyannote[1551].start 6694.02284375
transcript.pyannote[1551].end 6700.78971875
transcript.pyannote[1552].speaker SPEAKER_22
transcript.pyannote[1552].start 6700.26659375
transcript.pyannote[1552].end 6702.74721875
transcript.pyannote[1553].speaker SPEAKER_06
transcript.pyannote[1553].start 6701.32971875
transcript.pyannote[1553].end 6704.23221875
transcript.pyannote[1554].speaker SPEAKER_22
transcript.pyannote[1554].start 6704.62034375
transcript.pyannote[1554].end 6707.45534375
transcript.pyannote[1555].speaker SPEAKER_22
transcript.pyannote[1555].start 6707.57346875
transcript.pyannote[1555].end 6710.42534375
transcript.pyannote[1556].speaker SPEAKER_15
transcript.pyannote[1556].start 6710.42534375
transcript.pyannote[1556].end 6710.72909375
transcript.pyannote[1557].speaker SPEAKER_22
transcript.pyannote[1557].start 6710.62784375
transcript.pyannote[1557].end 6718.52534375
transcript.pyannote[1558].speaker SPEAKER_22
transcript.pyannote[1558].start 6718.59284375
transcript.pyannote[1558].end 6719.43659375
transcript.pyannote[1559].speaker SPEAKER_22
transcript.pyannote[1559].start 6719.92596875
transcript.pyannote[1559].end 6722.65971875
transcript.pyannote[1560].speaker SPEAKER_22
transcript.pyannote[1560].start 6722.74409375
transcript.pyannote[1560].end 6724.02659375
transcript.pyannote[1561].speaker SPEAKER_22
transcript.pyannote[1561].start 6724.09409375
transcript.pyannote[1561].end 6728.88659375
transcript.pyannote[1562].speaker SPEAKER_22
transcript.pyannote[1562].start 6729.19034375
transcript.pyannote[1562].end 6737.07096875
transcript.pyannote[1563].speaker SPEAKER_06
transcript.pyannote[1563].start 6736.51409375
transcript.pyannote[1563].end 6739.23096875
transcript.pyannote[1564].speaker SPEAKER_06
transcript.pyannote[1564].start 6739.48409375
transcript.pyannote[1564].end 6741.10409375
transcript.pyannote[1565].speaker SPEAKER_22
transcript.pyannote[1565].start 6739.56846875
transcript.pyannote[1565].end 6742.65659375
transcript.pyannote[1566].speaker SPEAKER_06
transcript.pyannote[1566].start 6742.03221875
transcript.pyannote[1566].end 6742.04909375
transcript.pyannote[1567].speaker SPEAKER_10
transcript.pyannote[1567].start 6742.04909375
transcript.pyannote[1567].end 6751.17846875
transcript.pyannote[1568].speaker SPEAKER_06
transcript.pyannote[1568].start 6742.65659375
transcript.pyannote[1568].end 6742.67346875
transcript.pyannote[1569].speaker SPEAKER_22
transcript.pyannote[1569].start 6742.67346875
transcript.pyannote[1569].end 6742.75784375
transcript.pyannote[1570].speaker SPEAKER_15
transcript.pyannote[1570].start 6746.16659375
transcript.pyannote[1570].end 6747.01034375
transcript.pyannote[1571].speaker SPEAKER_15
transcript.pyannote[1571].start 6751.17846875
transcript.pyannote[1571].end 6751.51596875
transcript.pyannote[1572].speaker SPEAKER_10
transcript.pyannote[1572].start 6751.49909375
transcript.pyannote[1572].end 6761.05034375
transcript.pyannote[1573].speaker SPEAKER_10
transcript.pyannote[1573].start 6761.20221875
transcript.pyannote[1573].end 6765.82596875
transcript.pyannote[1574].speaker SPEAKER_10
transcript.pyannote[1574].start 6765.89346875
transcript.pyannote[1574].end 6787.78034375
transcript.pyannote[1575].speaker SPEAKER_10
transcript.pyannote[1575].start 6787.84784375
transcript.pyannote[1575].end 6797.92221875
transcript.pyannote[1576].speaker SPEAKER_06
transcript.pyannote[1576].start 6797.24721875
transcript.pyannote[1576].end 6801.82034375
transcript.pyannote[1577].speaker SPEAKER_10
transcript.pyannote[1577].start 6798.52971875
transcript.pyannote[1577].end 6828.07784375
transcript.pyannote[1578].speaker SPEAKER_06
transcript.pyannote[1578].start 6803.13659375
transcript.pyannote[1578].end 6803.38971875
transcript.pyannote[1579].speaker SPEAKER_06
transcript.pyannote[1579].start 6823.15034375
transcript.pyannote[1579].end 6823.42034375
transcript.pyannote[1580].speaker SPEAKER_06
transcript.pyannote[1580].start 6824.78721875
transcript.pyannote[1580].end 6825.05721875
transcript.pyannote[1581].speaker SPEAKER_06
transcript.pyannote[1581].start 6825.78284375
transcript.pyannote[1581].end 6826.60971875
transcript.pyannote[1582].speaker SPEAKER_06
transcript.pyannote[1582].start 6827.08221875
transcript.pyannote[1582].end 6829.42784375
transcript.pyannote[1583].speaker SPEAKER_06
transcript.pyannote[1583].start 6829.74846875
transcript.pyannote[1583].end 6833.08971875
transcript.pyannote[1584].speaker SPEAKER_10
transcript.pyannote[1584].start 6833.19096875
transcript.pyannote[1584].end 6840.26159375
transcript.pyannote[1585].speaker SPEAKER_06
transcript.pyannote[1585].start 6834.55784375
transcript.pyannote[1585].end 6834.65909375
transcript.pyannote[1586].speaker SPEAKER_06
transcript.pyannote[1586].start 6840.39659375
transcript.pyannote[1586].end 6846.43784375
transcript.pyannote[1587].speaker SPEAKER_06
transcript.pyannote[1587].start 6846.72471875
transcript.pyannote[1587].end 6849.69471875
transcript.pyannote[1588].speaker SPEAKER_06
transcript.pyannote[1588].start 6850.06596875
transcript.pyannote[1588].end 6853.22159375
transcript.pyannote[1589].speaker SPEAKER_10
transcript.pyannote[1589].start 6853.89659375
transcript.pyannote[1589].end 6866.28284375
transcript.pyannote[1590].speaker SPEAKER_01
transcript.pyannote[1590].start 6861.37221875
transcript.pyannote[1590].end 6861.40596875
transcript.pyannote[1591].speaker SPEAKER_06
transcript.pyannote[1591].start 6864.94971875
transcript.pyannote[1591].end 6870.88971875
transcript.pyannote[1592].speaker SPEAKER_10
transcript.pyannote[1592].start 6868.52721875
transcript.pyannote[1592].end 6884.81159375
transcript.pyannote[1593].speaker SPEAKER_06
transcript.pyannote[1593].start 6872.67846875
transcript.pyannote[1593].end 6872.86409375
transcript.pyannote[1594].speaker SPEAKER_15
transcript.pyannote[1594].start 6872.86409375
transcript.pyannote[1594].end 6872.88096875
transcript.pyannote[1595].speaker SPEAKER_15
transcript.pyannote[1595].start 6876.64409375
transcript.pyannote[1595].end 6876.98159375
transcript.pyannote[1596].speaker SPEAKER_06
transcript.pyannote[1596].start 6881.06534375
transcript.pyannote[1596].end 6881.13284375
transcript.pyannote[1597].speaker SPEAKER_06
transcript.pyannote[1597].start 6881.14971875
transcript.pyannote[1597].end 6881.16659375
transcript.pyannote[1598].speaker SPEAKER_06
transcript.pyannote[1598].start 6883.69784375
transcript.pyannote[1598].end 6887.81534375
transcript.pyannote[1599].speaker SPEAKER_10
transcript.pyannote[1599].start 6887.47784375
transcript.pyannote[1599].end 6891.44346875
transcript.pyannote[1600].speaker SPEAKER_06
transcript.pyannote[1600].start 6888.08534375
transcript.pyannote[1600].end 6888.50721875
transcript.pyannote[1601].speaker SPEAKER_06
transcript.pyannote[1601].start 6889.53659375
transcript.pyannote[1601].end 6889.89096875
transcript.pyannote[1602].speaker SPEAKER_10
transcript.pyannote[1602].start 6891.61221875
transcript.pyannote[1602].end 6898.29471875
transcript.pyannote[1603].speaker SPEAKER_06
transcript.pyannote[1603].start 6894.51471875
transcript.pyannote[1603].end 6894.63284375
transcript.pyannote[1604].speaker SPEAKER_06
transcript.pyannote[1604].start 6894.68346875
transcript.pyannote[1604].end 6894.73409375
transcript.pyannote[1605].speaker SPEAKER_15
transcript.pyannote[1605].start 6898.29471875
transcript.pyannote[1605].end 6898.71659375
transcript.pyannote[1606].speaker SPEAKER_10
transcript.pyannote[1606].start 6898.56471875
transcript.pyannote[1606].end 6904.84221875
transcript.pyannote[1607].speaker SPEAKER_06
transcript.pyannote[1607].start 6904.84221875
transcript.pyannote[1607].end 6904.96034375
transcript.pyannote[1608].speaker SPEAKER_06
transcript.pyannote[1608].start 6905.02784375
transcript.pyannote[1608].end 6905.04471875
transcript.pyannote[1609].speaker SPEAKER_10
transcript.pyannote[1609].start 6905.04471875
transcript.pyannote[1609].end 6906.68159375
transcript.pyannote[1610].speaker SPEAKER_06
transcript.pyannote[1610].start 6905.11221875
transcript.pyannote[1610].end 6908.62221875
transcript.pyannote[1611].speaker SPEAKER_10
transcript.pyannote[1611].start 6907.71096875
transcript.pyannote[1611].end 6909.33096875
transcript.pyannote[1612].speaker SPEAKER_06
transcript.pyannote[1612].start 6909.34784375
transcript.pyannote[1612].end 6916.78971875
transcript.pyannote[1613].speaker SPEAKER_10
transcript.pyannote[1613].start 6910.30971875
transcript.pyannote[1613].end 6910.73159375
transcript.pyannote[1614].speaker SPEAKER_10
transcript.pyannote[1614].start 6911.81159375
transcript.pyannote[1614].end 6912.31784375
transcript.pyannote[1615].speaker SPEAKER_06
transcript.pyannote[1615].start 6917.14409375
transcript.pyannote[1615].end 6919.16909375
transcript.pyannote[1616].speaker SPEAKER_10
transcript.pyannote[1616].start 6917.31284375
transcript.pyannote[1616].end 6927.08346875
transcript.pyannote[1617].speaker SPEAKER_06
transcript.pyannote[1617].start 6922.94909375
transcript.pyannote[1617].end 6923.35409375
transcript.pyannote[1618].speaker SPEAKER_06
transcript.pyannote[1618].start 6927.08346875
transcript.pyannote[1618].end 6930.49221875
transcript.pyannote[1619].speaker SPEAKER_10
transcript.pyannote[1619].start 6927.10034375
transcript.pyannote[1619].end 6927.18471875
transcript.pyannote[1620].speaker SPEAKER_10
transcript.pyannote[1620].start 6927.28596875
transcript.pyannote[1620].end 6929.17596875
transcript.pyannote[1621].speaker SPEAKER_10
transcript.pyannote[1621].start 6929.88471875
transcript.pyannote[1621].end 6931.21784375
transcript.pyannote[1622].speaker SPEAKER_06
transcript.pyannote[1622].start 6931.21784375
transcript.pyannote[1622].end 6936.22971875
transcript.pyannote[1623].speaker SPEAKER_10
transcript.pyannote[1623].start 6932.24721875
transcript.pyannote[1623].end 6932.65221875
transcript.pyannote[1624].speaker SPEAKER_10
transcript.pyannote[1624].start 6935.08221875
transcript.pyannote[1624].end 6946.21971875
transcript.pyannote[1625].speaker SPEAKER_06
transcript.pyannote[1625].start 6942.67596875
transcript.pyannote[1625].end 6943.01346875
transcript.pyannote[1626].speaker SPEAKER_06
transcript.pyannote[1626].start 6946.60784375
transcript.pyannote[1626].end 6955.48409375
transcript.pyannote[1627].speaker SPEAKER_06
transcript.pyannote[1627].start 6955.75409375
transcript.pyannote[1627].end 6958.90971875
transcript.pyannote[1628].speaker SPEAKER_06
transcript.pyannote[1628].start 6959.50034375
transcript.pyannote[1628].end 6961.15409375
transcript.pyannote[1629].speaker SPEAKER_10
transcript.pyannote[1629].start 6962.21721875
transcript.pyannote[1629].end 6973.92846875
transcript.pyannote[1630].speaker SPEAKER_10
transcript.pyannote[1630].start 6974.14784375
transcript.pyannote[1630].end 6983.31096875
transcript.pyannote[1631].speaker SPEAKER_15
transcript.pyannote[1631].start 6976.93221875
transcript.pyannote[1631].end 6976.94909375
transcript.pyannote[1632].speaker SPEAKER_15
transcript.pyannote[1632].start 6977.13471875
transcript.pyannote[1632].end 6977.20221875
transcript.pyannote[1633].speaker SPEAKER_06
transcript.pyannote[1633].start 6983.49659375
transcript.pyannote[1633].end 6985.58909375
transcript.pyannote[1634].speaker SPEAKER_06
transcript.pyannote[1634].start 6986.24721875
transcript.pyannote[1634].end 6989.67284375
transcript.pyannote[1635].speaker SPEAKER_10
transcript.pyannote[1635].start 6989.06534375
transcript.pyannote[1635].end 6989.08221875
transcript.pyannote[1636].speaker SPEAKER_15
transcript.pyannote[1636].start 6989.08221875
transcript.pyannote[1636].end 6990.90471875
transcript.pyannote[1637].speaker SPEAKER_06
transcript.pyannote[1637].start 6990.16221875
transcript.pyannote[1637].end 6990.34784375
transcript.pyannote[1638].speaker SPEAKER_06
transcript.pyannote[1638].start 6990.98909375
transcript.pyannote[1638].end 7004.60721875
transcript.pyannote[1639].speaker SPEAKER_10
transcript.pyannote[1639].start 7002.00846875
transcript.pyannote[1639].end 7002.46409375
transcript.pyannote[1640].speaker SPEAKER_10
transcript.pyannote[1640].start 7004.52284375
transcript.pyannote[1640].end 7017.93846875
transcript.pyannote[1641].speaker SPEAKER_06
transcript.pyannote[1641].start 7007.67846875
transcript.pyannote[1641].end 7009.36596875
transcript.pyannote[1642].speaker SPEAKER_06
transcript.pyannote[1642].start 7011.54284375
transcript.pyannote[1642].end 7011.82971875
transcript.pyannote[1643].speaker SPEAKER_15
transcript.pyannote[1643].start 7011.82971875
transcript.pyannote[1643].end 7011.84659375
transcript.pyannote[1644].speaker SPEAKER_15
transcript.pyannote[1644].start 7014.44534375
transcript.pyannote[1644].end 7014.96846875
transcript.pyannote[1645].speaker SPEAKER_10
transcript.pyannote[1645].start 7018.22534375
transcript.pyannote[1645].end 7020.43596875
transcript.pyannote[1646].speaker SPEAKER_10
transcript.pyannote[1646].start 7020.68909375
transcript.pyannote[1646].end 7023.42284375
transcript.pyannote[1647].speaker SPEAKER_10
transcript.pyannote[1647].start 7023.69284375
transcript.pyannote[1647].end 7025.05971875
transcript.pyannote[1648].speaker SPEAKER_15
transcript.pyannote[1648].start 7025.05971875
transcript.pyannote[1648].end 7025.44784375
transcript.pyannote[1649].speaker SPEAKER_15
transcript.pyannote[1649].start 7025.46471875
transcript.pyannote[1649].end 7025.48159375
transcript.pyannote[1650].speaker SPEAKER_10
transcript.pyannote[1650].start 7025.48159375
transcript.pyannote[1650].end 7026.07221875
transcript.pyannote[1651].speaker SPEAKER_10
transcript.pyannote[1651].start 7026.19034375
transcript.pyannote[1651].end 7027.67534375
transcript.pyannote[1652].speaker SPEAKER_10
transcript.pyannote[1652].start 7027.87784375
transcript.pyannote[1652].end 7029.86909375
transcript.pyannote[1653].speaker SPEAKER_10
transcript.pyannote[1653].start 7030.07159375
transcript.pyannote[1653].end 7031.45534375
transcript.pyannote[1654].speaker SPEAKER_10
transcript.pyannote[1654].start 7031.57346875
transcript.pyannote[1654].end 7033.69971875
transcript.pyannote[1655].speaker SPEAKER_10
transcript.pyannote[1655].start 7033.88534375
transcript.pyannote[1655].end 7035.85971875
transcript.pyannote[1656].speaker SPEAKER_10
transcript.pyannote[1656].start 7036.31534375
transcript.pyannote[1656].end 7045.42784375
transcript.pyannote[1657].speaker SPEAKER_10
transcript.pyannote[1657].start 7045.56284375
transcript.pyannote[1657].end 7052.44784375
transcript.pyannote[1658].speaker SPEAKER_15
transcript.pyannote[1658].start 7049.88284375
transcript.pyannote[1658].end 7050.23721875
transcript.pyannote[1659].speaker SPEAKER_10
transcript.pyannote[1659].start 7052.66721875
transcript.pyannote[1659].end 7061.05409375
transcript.pyannote[1660].speaker SPEAKER_06
transcript.pyannote[1660].start 7061.10471875
transcript.pyannote[1660].end 7064.41221875
transcript.pyannote[1661].speaker SPEAKER_06
transcript.pyannote[1661].start 7064.95221875
transcript.pyannote[1661].end 7077.28784375
transcript.pyannote[1662].speaker SPEAKER_06
transcript.pyannote[1662].start 7077.96284375
transcript.pyannote[1662].end 7088.17221875
transcript.pyannote[1663].speaker SPEAKER_06
transcript.pyannote[1663].start 7088.42534375
transcript.pyannote[1663].end 7107.71346875
transcript.pyannote[1664].speaker SPEAKER_00
transcript.pyannote[1664].start 7095.78284375
transcript.pyannote[1664].end 7095.79971875
transcript.pyannote[1665].speaker SPEAKER_22
transcript.pyannote[1665].start 7107.71346875
transcript.pyannote[1665].end 7113.95721875
transcript.pyannote[1666].speaker SPEAKER_22
transcript.pyannote[1666].start 7114.63221875
transcript.pyannote[1666].end 7123.76159375
transcript.pyannote[1667].speaker SPEAKER_15
transcript.pyannote[1667].start 7122.68159375
transcript.pyannote[1667].end 7122.96846875
transcript.pyannote[1668].speaker SPEAKER_00
transcript.pyannote[1668].start 7122.96846875
transcript.pyannote[1668].end 7122.98534375
transcript.pyannote[1669].speaker SPEAKER_22
transcript.pyannote[1669].start 7124.14971875
transcript.pyannote[1669].end 7127.30534375
transcript.pyannote[1670].speaker SPEAKER_22
transcript.pyannote[1670].start 7127.57534375
transcript.pyannote[1670].end 7128.57096875
transcript.pyannote[1671].speaker SPEAKER_22
transcript.pyannote[1671].start 7128.72284375
transcript.pyannote[1671].end 7130.30909375
transcript.pyannote[1672].speaker SPEAKER_22
transcript.pyannote[1672].start 7130.57909375
transcript.pyannote[1672].end 7131.50721875
transcript.pyannote[1673].speaker SPEAKER_22
transcript.pyannote[1673].start 7131.69284375
transcript.pyannote[1673].end 7132.40159375
transcript.pyannote[1674].speaker SPEAKER_22
transcript.pyannote[1674].start 7132.57034375
transcript.pyannote[1674].end 7133.76846875
transcript.pyannote[1675].speaker SPEAKER_22
transcript.pyannote[1675].start 7133.85284375
transcript.pyannote[1675].end 7134.49409375
transcript.pyannote[1676].speaker SPEAKER_22
transcript.pyannote[1676].start 7134.71346875
transcript.pyannote[1676].end 7137.27846875
transcript.pyannote[1677].speaker SPEAKER_22
transcript.pyannote[1677].start 7137.32909375
transcript.pyannote[1677].end 7137.93659375
transcript.pyannote[1678].speaker SPEAKER_22
transcript.pyannote[1678].start 7138.39221875
transcript.pyannote[1678].end 7146.69471875
transcript.pyannote[1679].speaker SPEAKER_06
transcript.pyannote[1679].start 7146.69471875
transcript.pyannote[1679].end 7146.71159375
transcript.pyannote[1680].speaker SPEAKER_22
transcript.pyannote[1680].start 7146.76221875
transcript.pyannote[1680].end 7148.02784375
transcript.pyannote[1681].speaker SPEAKER_06
transcript.pyannote[1681].start 7148.02784375
transcript.pyannote[1681].end 7155.14909375
transcript.pyannote[1682].speaker SPEAKER_10
transcript.pyannote[1682].start 7154.62596875
transcript.pyannote[1682].end 7160.24534375
transcript.pyannote[1683].speaker SPEAKER_06
transcript.pyannote[1683].start 7160.51534375
transcript.pyannote[1683].end 7171.01159375
transcript.pyannote[1684].speaker SPEAKER_06
transcript.pyannote[1684].start 7171.28159375
transcript.pyannote[1684].end 7175.23034375
transcript.pyannote[1685].speaker SPEAKER_06
transcript.pyannote[1685].start 7175.63534375
transcript.pyannote[1685].end 7182.38534375
transcript.pyannote[1686].speaker SPEAKER_06
transcript.pyannote[1686].start 7182.53721875
transcript.pyannote[1686].end 7188.83159375
transcript.pyannote[1687].speaker SPEAKER_06
transcript.pyannote[1687].start 7189.18596875
transcript.pyannote[1687].end 7197.50534375
transcript.pyannote[1688].speaker SPEAKER_22
transcript.pyannote[1688].start 7197.84284375
transcript.pyannote[1688].end 7201.26846875
transcript.pyannote[1689].speaker SPEAKER_22
transcript.pyannote[1689].start 7201.62284375
transcript.pyannote[1689].end 7205.55471875
transcript.pyannote[1690].speaker SPEAKER_22
transcript.pyannote[1690].start 7205.77409375
transcript.pyannote[1690].end 7206.16221875
transcript.pyannote[1691].speaker SPEAKER_22
transcript.pyannote[1691].start 7206.80346875
transcript.pyannote[1691].end 7209.26721875
transcript.pyannote[1692].speaker SPEAKER_22
transcript.pyannote[1692].start 7209.53721875
transcript.pyannote[1692].end 7213.73909375
transcript.pyannote[1693].speaker SPEAKER_22
transcript.pyannote[1693].start 7214.02596875
transcript.pyannote[1693].end 7215.39284375
transcript.pyannote[1694].speaker SPEAKER_22
transcript.pyannote[1694].start 7215.69659375
transcript.pyannote[1694].end 7219.57784375
transcript.pyannote[1695].speaker SPEAKER_22
transcript.pyannote[1695].start 7219.89846875
transcript.pyannote[1695].end 7221.63659375
transcript.pyannote[1696].speaker SPEAKER_22
transcript.pyannote[1696].start 7221.73784375
transcript.pyannote[1696].end 7223.71221875
transcript.pyannote[1697].speaker SPEAKER_22
transcript.pyannote[1697].start 7223.88096875
transcript.pyannote[1697].end 7226.47971875
transcript.pyannote[1698].speaker SPEAKER_22
transcript.pyannote[1698].start 7226.96909375
transcript.pyannote[1698].end 7228.52159375
transcript.pyannote[1699].speaker SPEAKER_22
transcript.pyannote[1699].start 7229.12909375
transcript.pyannote[1699].end 7233.12846875
transcript.pyannote[1700].speaker SPEAKER_22
transcript.pyannote[1700].start 7233.71909375
transcript.pyannote[1700].end 7239.86159375
transcript.pyannote[1701].speaker SPEAKER_22
transcript.pyannote[1701].start 7240.41846875
transcript.pyannote[1701].end 7244.04659375
transcript.pyannote[1702].speaker SPEAKER_22
transcript.pyannote[1702].start 7244.33346875
transcript.pyannote[1702].end 7246.25721875
transcript.pyannote[1703].speaker SPEAKER_22
transcript.pyannote[1703].start 7246.51034375
transcript.pyannote[1703].end 7249.26096875
transcript.pyannote[1704].speaker SPEAKER_22
transcript.pyannote[1704].start 7249.76721875
transcript.pyannote[1704].end 7250.76284375
transcript.pyannote[1705].speaker SPEAKER_22
transcript.pyannote[1705].start 7250.98221875
transcript.pyannote[1705].end 7252.58534375
transcript.pyannote[1706].speaker SPEAKER_22
transcript.pyannote[1706].start 7252.88909375
transcript.pyannote[1706].end 7253.37846875
transcript.pyannote[1707].speaker SPEAKER_22
transcript.pyannote[1707].start 7253.68221875
transcript.pyannote[1707].end 7255.69034375
transcript.pyannote[1708].speaker SPEAKER_22
transcript.pyannote[1708].start 7255.90971875
transcript.pyannote[1708].end 7257.64784375
transcript.pyannote[1709].speaker SPEAKER_22
transcript.pyannote[1709].start 7258.08659375
transcript.pyannote[1709].end 7263.70596875
transcript.pyannote[1710].speaker SPEAKER_22
transcript.pyannote[1710].start 7263.95909375
transcript.pyannote[1710].end 7265.08971875
transcript.pyannote[1711].speaker SPEAKER_22
transcript.pyannote[1711].start 7265.35971875
transcript.pyannote[1711].end 7266.96284375
transcript.pyannote[1712].speaker SPEAKER_22
transcript.pyannote[1712].start 7267.40159375
transcript.pyannote[1712].end 7268.56596875
transcript.pyannote[1713].speaker SPEAKER_22
transcript.pyannote[1713].start 7269.02159375
transcript.pyannote[1713].end 7270.11846875
transcript.pyannote[1714].speaker SPEAKER_22
transcript.pyannote[1714].start 7270.32096875
transcript.pyannote[1714].end 7271.89034375
transcript.pyannote[1715].speaker SPEAKER_22
transcript.pyannote[1715].start 7272.00846875
transcript.pyannote[1715].end 7273.51034375
transcript.pyannote[1716].speaker SPEAKER_22
transcript.pyannote[1716].start 7273.76346875
transcript.pyannote[1716].end 7276.51409375
transcript.pyannote[1717].speaker SPEAKER_22
transcript.pyannote[1717].start 7277.32409375
transcript.pyannote[1717].end 7282.30221875
transcript.pyannote[1718].speaker SPEAKER_22
transcript.pyannote[1718].start 7282.90971875
transcript.pyannote[1718].end 7283.78721875
transcript.pyannote[1719].speaker SPEAKER_22
transcript.pyannote[1719].start 7284.27659375
transcript.pyannote[1719].end 7285.42409375
transcript.pyannote[1720].speaker SPEAKER_22
transcript.pyannote[1720].start 7285.66034375
transcript.pyannote[1720].end 7286.53784375
transcript.pyannote[1721].speaker SPEAKER_22
transcript.pyannote[1721].start 7286.77409375
transcript.pyannote[1721].end 7290.89159375
transcript.pyannote[1722].speaker SPEAKER_22
transcript.pyannote[1722].start 7291.21221875
transcript.pyannote[1722].end 7298.09721875
transcript.pyannote[1723].speaker SPEAKER_22
transcript.pyannote[1723].start 7298.77221875
transcript.pyannote[1723].end 7299.02534375
transcript.pyannote[1724].speaker SPEAKER_06
transcript.pyannote[1724].start 7299.02534375
transcript.pyannote[1724].end 7299.59909375
transcript.pyannote[1725].speaker SPEAKER_22
transcript.pyannote[1725].start 7299.59909375
transcript.pyannote[1725].end 7299.66659375
transcript.pyannote[1726].speaker SPEAKER_06
transcript.pyannote[1726].start 7299.66659375
transcript.pyannote[1726].end 7301.48909375
transcript.pyannote[1727].speaker SPEAKER_06
transcript.pyannote[1727].start 7301.84346875
transcript.pyannote[1727].end 7303.58159375
transcript.pyannote[1728].speaker SPEAKER_06
transcript.pyannote[1728].start 7303.91909375
transcript.pyannote[1728].end 7309.18409375
transcript.pyannote[1729].speaker SPEAKER_06
transcript.pyannote[1729].start 7309.60596875
transcript.pyannote[1729].end 7313.97659375
transcript.pyannote[1730].speaker SPEAKER_06
transcript.pyannote[1730].start 7314.12846875
transcript.pyannote[1730].end 7321.14846875
transcript.pyannote[1731].speaker SPEAKER_06
transcript.pyannote[1731].start 7321.45221875
transcript.pyannote[1731].end 7324.94534375
transcript.pyannote[1732].speaker SPEAKER_06
transcript.pyannote[1732].start 7325.75534375
transcript.pyannote[1732].end 7328.38784375
transcript.pyannote[1733].speaker SPEAKER_06
transcript.pyannote[1733].start 7328.67471875
transcript.pyannote[1733].end 7329.68721875
transcript.pyannote[1734].speaker SPEAKER_22
transcript.pyannote[1734].start 7330.00784375
transcript.pyannote[1734].end 7330.37909375
transcript.pyannote[1735].speaker SPEAKER_06
transcript.pyannote[1735].start 7330.59846875
transcript.pyannote[1735].end 7330.61534375
transcript.pyannote[1736].speaker SPEAKER_22
transcript.pyannote[1736].start 7330.61534375
transcript.pyannote[1736].end 7330.63221875
transcript.pyannote[1737].speaker SPEAKER_06
transcript.pyannote[1737].start 7330.63221875
transcript.pyannote[1737].end 7330.68284375
transcript.pyannote[1738].speaker SPEAKER_22
transcript.pyannote[1738].start 7330.68284375
transcript.pyannote[1738].end 7332.57284375
transcript.pyannote[1739].speaker SPEAKER_22
transcript.pyannote[1739].start 7332.87659375
transcript.pyannote[1739].end 7333.61909375
transcript.pyannote[1740].speaker SPEAKER_15
transcript.pyannote[1740].start 7333.83846875
transcript.pyannote[1740].end 7333.85534375
transcript.pyannote[1741].speaker SPEAKER_22
transcript.pyannote[1741].start 7333.85534375
transcript.pyannote[1741].end 7333.93971875
transcript.pyannote[1742].speaker SPEAKER_15
transcript.pyannote[1742].start 7333.93971875
transcript.pyannote[1742].end 7333.95659375
transcript.pyannote[1743].speaker SPEAKER_22
transcript.pyannote[1743].start 7333.95659375
transcript.pyannote[1743].end 7336.55534375
transcript.pyannote[1744].speaker SPEAKER_22
transcript.pyannote[1744].start 7336.97721875
transcript.pyannote[1744].end 7337.92221875
transcript.pyannote[1745].speaker SPEAKER_22
transcript.pyannote[1745].start 7338.24284375
transcript.pyannote[1745].end 7341.17909375
transcript.pyannote[1746].speaker SPEAKER_22
transcript.pyannote[1746].start 7341.31409375
transcript.pyannote[1746].end 7345.11096875
transcript.pyannote[1747].speaker SPEAKER_22
transcript.pyannote[1747].start 7345.36409375
transcript.pyannote[1747].end 7346.95034375
transcript.pyannote[1748].speaker SPEAKER_22
transcript.pyannote[1748].start 7347.23721875
transcript.pyannote[1748].end 7348.40159375
transcript.pyannote[1749].speaker SPEAKER_22
transcript.pyannote[1749].start 7348.65471875
transcript.pyannote[1749].end 7352.02971875
transcript.pyannote[1750].speaker SPEAKER_22
transcript.pyannote[1750].start 7352.78909375
transcript.pyannote[1750].end 7358.50971875
transcript.pyannote[1751].speaker SPEAKER_06
transcript.pyannote[1751].start 7358.50971875
transcript.pyannote[1751].end 7358.54346875
transcript.pyannote[1752].speaker SPEAKER_22
transcript.pyannote[1752].start 7359.03284375
transcript.pyannote[1752].end 7359.08346875
transcript.pyannote[1753].speaker SPEAKER_06
transcript.pyannote[1753].start 7359.08346875
transcript.pyannote[1753].end 7362.30659375
transcript.pyannote[1754].speaker SPEAKER_06
transcript.pyannote[1754].start 7362.67784375
transcript.pyannote[1754].end 7369.00596875
transcript.pyannote[1755].speaker SPEAKER_06
transcript.pyannote[1755].start 7369.22534375
transcript.pyannote[1755].end 7373.78159375
transcript.pyannote[1756].speaker SPEAKER_06
transcript.pyannote[1756].start 7373.86596875
transcript.pyannote[1756].end 7381.00409375
transcript.pyannote[1757].speaker SPEAKER_06
transcript.pyannote[1757].start 7381.40909375
transcript.pyannote[1757].end 7382.23596875
transcript.pyannote[1758].speaker SPEAKER_06
transcript.pyannote[1758].start 7382.32034375
transcript.pyannote[1758].end 7383.34971875
transcript.pyannote[1759].speaker SPEAKER_06
transcript.pyannote[1759].start 7383.58596875
transcript.pyannote[1759].end 7385.52659375
transcript.pyannote[1760].speaker SPEAKER_06
transcript.pyannote[1760].start 7385.77971875
transcript.pyannote[1760].end 7390.70721875
transcript.pyannote[1761].speaker SPEAKER_06
transcript.pyannote[1761].start 7391.07846875
transcript.pyannote[1761].end 7394.62221875
transcript.pyannote[1762].speaker SPEAKER_06
transcript.pyannote[1762].start 7394.92596875
transcript.pyannote[1762].end 7398.87471875
transcript.pyannote[1763].speaker SPEAKER_06
transcript.pyannote[1763].start 7399.14471875
transcript.pyannote[1763].end 7400.32596875
transcript.pyannote[1764].speaker SPEAKER_06
transcript.pyannote[1764].start 7400.88284375
transcript.pyannote[1764].end 7401.50721875
transcript.pyannote[1765].speaker SPEAKER_22
transcript.pyannote[1765].start 7401.08534375
transcript.pyannote[1765].end 7401.40596875
transcript.pyannote[1766].speaker SPEAKER_06
transcript.pyannote[1766].start 7401.64221875
transcript.pyannote[1766].end 7403.39721875
transcript.pyannote[1767].speaker SPEAKER_06
transcript.pyannote[1767].start 7403.58284375
transcript.pyannote[1767].end 7404.74721875
transcript.pyannote[1768].speaker SPEAKER_06
transcript.pyannote[1768].start 7405.08471875
transcript.pyannote[1768].end 7406.19846875
transcript.pyannote[1769].speaker SPEAKER_22
transcript.pyannote[1769].start 7405.10159375
transcript.pyannote[1769].end 7405.69221875
transcript.pyannote[1770].speaker SPEAKER_22
transcript.pyannote[1770].start 7406.19846875
transcript.pyannote[1770].end 7411.78409375
transcript.pyannote[1771].speaker SPEAKER_22
transcript.pyannote[1771].start 7412.15534375
transcript.pyannote[1771].end 7422.36471875
transcript.pyannote[1772].speaker SPEAKER_06
transcript.pyannote[1772].start 7413.42096875
transcript.pyannote[1772].end 7413.87659375
transcript.pyannote[1773].speaker SPEAKER_06
transcript.pyannote[1773].start 7421.45346875
transcript.pyannote[1773].end 7423.19159375
transcript.pyannote[1774].speaker SPEAKER_22
transcript.pyannote[1774].start 7422.85409375
transcript.pyannote[1774].end 7428.86159375
transcript.pyannote[1775].speaker SPEAKER_11
transcript.pyannote[1775].start 7436.33721875
transcript.pyannote[1775].end 7440.40409375
transcript.pyannote[1776].speaker SPEAKER_11
transcript.pyannote[1776].start 7442.29409375
transcript.pyannote[1776].end 7451.99721875
transcript.pyannote[1777].speaker SPEAKER_12
transcript.pyannote[1777].start 7458.96659375
transcript.pyannote[1777].end 7462.35846875
transcript.pyannote[1778].speaker SPEAKER_11
transcript.pyannote[1778].start 7462.89846875
transcript.pyannote[1778].end 7464.11346875
transcript.pyannote[1779].speaker SPEAKER_22
transcript.pyannote[1779].start 7473.74909375
transcript.pyannote[1779].end 7474.40721875
transcript.pyannote[1780].speaker SPEAKER_12
transcript.pyannote[1780].start 7474.40721875
transcript.pyannote[1780].end 7485.40971875
transcript.pyannote[1781].speaker SPEAKER_12
transcript.pyannote[1781].start 7485.71346875
transcript.pyannote[1781].end 7537.70534375
transcript.pyannote[1782].speaker SPEAKER_12
transcript.pyannote[1782].start 7538.17784375
transcript.pyannote[1782].end 7556.48721875
transcript.pyannote[1783].speaker SPEAKER_12
transcript.pyannote[1783].start 7556.72346875
transcript.pyannote[1783].end 7581.78284375
transcript.pyannote[1784].speaker SPEAKER_12
transcript.pyannote[1784].start 7582.23846875
transcript.pyannote[1784].end 7642.87034375
transcript.pyannote[1785].speaker SPEAKER_22
transcript.pyannote[1785].start 7643.74784375
transcript.pyannote[1785].end 7648.94534375
transcript.pyannote[1786].speaker SPEAKER_22
transcript.pyannote[1786].start 7649.48534375
transcript.pyannote[1786].end 7650.71721875
transcript.pyannote[1787].speaker SPEAKER_22
transcript.pyannote[1787].start 7651.24034375
transcript.pyannote[1787].end 7653.72096875
transcript.pyannote[1788].speaker SPEAKER_22
transcript.pyannote[1788].start 7654.26096875
transcript.pyannote[1788].end 7662.86721875
transcript.pyannote[1789].speaker SPEAKER_12
transcript.pyannote[1789].start 7660.26846875
transcript.pyannote[1789].end 7660.67346875
transcript.pyannote[1790].speaker SPEAKER_12
transcript.pyannote[1790].start 7662.10784375
transcript.pyannote[1790].end 7663.74471875
transcript.pyannote[1791].speaker SPEAKER_22
transcript.pyannote[1791].start 7664.26784375
transcript.pyannote[1791].end 7665.29721875
transcript.pyannote[1792].speaker SPEAKER_12
transcript.pyannote[1792].start 7665.29721875
transcript.pyannote[1792].end 7666.84971875
transcript.pyannote[1793].speaker SPEAKER_22
transcript.pyannote[1793].start 7666.19159375
transcript.pyannote[1793].end 7669.58346875
transcript.pyannote[1794].speaker SPEAKER_12
transcript.pyannote[1794].start 7669.97159375
transcript.pyannote[1794].end 7670.25846875
transcript.pyannote[1795].speaker SPEAKER_22
transcript.pyannote[1795].start 7670.39346875
transcript.pyannote[1795].end 7671.15284375
transcript.pyannote[1796].speaker SPEAKER_22
transcript.pyannote[1796].start 7671.52409375
transcript.pyannote[1796].end 7676.21534375
transcript.pyannote[1797].speaker SPEAKER_12
transcript.pyannote[1797].start 7675.87784375
transcript.pyannote[1797].end 7692.04409375
transcript.pyannote[1798].speaker SPEAKER_10
transcript.pyannote[1798].start 7691.04846875
transcript.pyannote[1798].end 7719.38159375
transcript.pyannote[1799].speaker SPEAKER_12
transcript.pyannote[1799].start 7693.09034375
transcript.pyannote[1799].end 7693.41096875
transcript.pyannote[1800].speaker SPEAKER_12
transcript.pyannote[1800].start 7707.16409375
transcript.pyannote[1800].end 7710.64034375
transcript.pyannote[1801].speaker SPEAKER_12
transcript.pyannote[1801].start 7711.43346875
transcript.pyannote[1801].end 7713.71159375
transcript.pyannote[1802].speaker SPEAKER_12
transcript.pyannote[1802].start 7715.38221875
transcript.pyannote[1802].end 7715.93909375
transcript.pyannote[1803].speaker SPEAKER_12
transcript.pyannote[1803].start 7719.71909375
transcript.pyannote[1803].end 7727.46471875
transcript.pyannote[1804].speaker SPEAKER_12
transcript.pyannote[1804].start 7729.33784375
transcript.pyannote[1804].end 7729.69221875
transcript.pyannote[1805].speaker SPEAKER_10
transcript.pyannote[1805].start 7730.02971875
transcript.pyannote[1805].end 7748.30534375
transcript.pyannote[1806].speaker SPEAKER_12
transcript.pyannote[1806].start 7732.98284375
transcript.pyannote[1806].end 7733.45534375
transcript.pyannote[1807].speaker SPEAKER_12
transcript.pyannote[1807].start 7739.17596875
transcript.pyannote[1807].end 7742.01096875
transcript.pyannote[1808].speaker SPEAKER_12
transcript.pyannote[1808].start 7742.60159375
transcript.pyannote[1808].end 7745.04846875
transcript.pyannote[1809].speaker SPEAKER_12
transcript.pyannote[1809].start 7748.30534375
transcript.pyannote[1809].end 7755.37596875
transcript.pyannote[1810].speaker SPEAKER_10
transcript.pyannote[1810].start 7748.57534375
transcript.pyannote[1810].end 7753.40159375
transcript.pyannote[1811].speaker SPEAKER_12
transcript.pyannote[1811].start 7755.67971875
transcript.pyannote[1811].end 7757.48534375
transcript.pyannote[1812].speaker SPEAKER_10
transcript.pyannote[1812].start 7755.81471875
transcript.pyannote[1812].end 7760.16846875
transcript.pyannote[1813].speaker SPEAKER_12
transcript.pyannote[1813].start 7758.63284375
transcript.pyannote[1813].end 7762.09221875
transcript.pyannote[1814].speaker SPEAKER_10
transcript.pyannote[1814].start 7760.86034375
transcript.pyannote[1814].end 7764.62346875
transcript.pyannote[1815].speaker SPEAKER_12
transcript.pyannote[1815].start 7765.21409375
transcript.pyannote[1815].end 7794.30659375
transcript.pyannote[1816].speaker SPEAKER_12
transcript.pyannote[1816].start 7794.86346875
transcript.pyannote[1816].end 7801.30971875
transcript.pyannote[1817].speaker SPEAKER_12
transcript.pyannote[1817].start 7801.81596875
transcript.pyannote[1817].end 7802.38971875
transcript.pyannote[1818].speaker SPEAKER_12
transcript.pyannote[1818].start 7802.79471875
transcript.pyannote[1818].end 7805.15721875
transcript.pyannote[1819].speaker SPEAKER_12
transcript.pyannote[1819].start 7805.49471875
transcript.pyannote[1819].end 7836.79784375
transcript.pyannote[1820].speaker SPEAKER_12
transcript.pyannote[1820].start 7837.18596875
transcript.pyannote[1820].end 7865.14784375
transcript.pyannote[1821].speaker SPEAKER_12
transcript.pyannote[1821].start 7865.36721875
transcript.pyannote[1821].end 7879.60971875
transcript.pyannote[1822].speaker SPEAKER_10
transcript.pyannote[1822].start 7879.76159375
transcript.pyannote[1822].end 7911.79034375
transcript.pyannote[1823].speaker SPEAKER_12
transcript.pyannote[1823].start 7893.88596875
transcript.pyannote[1823].end 7897.15971875
transcript.pyannote[1824].speaker SPEAKER_12
transcript.pyannote[1824].start 7905.54659375
transcript.pyannote[1824].end 7908.02721875
transcript.pyannote[1825].speaker SPEAKER_21
transcript.pyannote[1825].start 7908.02721875
transcript.pyannote[1825].end 7909.64721875
transcript.pyannote[1826].speaker SPEAKER_21
transcript.pyannote[1826].start 7910.33909375
transcript.pyannote[1826].end 7916.95409375
transcript.pyannote[1827].speaker SPEAKER_12
transcript.pyannote[1827].start 7913.12346875
transcript.pyannote[1827].end 7913.20784375
transcript.pyannote[1828].speaker SPEAKER_12
transcript.pyannote[1828].start 7913.22471875
transcript.pyannote[1828].end 7913.24159375
transcript.pyannote[1829].speaker SPEAKER_21
transcript.pyannote[1829].start 7917.13971875
transcript.pyannote[1829].end 7920.05909375
transcript.pyannote[1830].speaker SPEAKER_21
transcript.pyannote[1830].start 7920.26159375
transcript.pyannote[1830].end 7924.90221875
transcript.pyannote[1831].speaker SPEAKER_21
transcript.pyannote[1831].start 7924.96971875
transcript.pyannote[1831].end 7928.09159375
transcript.pyannote[1832].speaker SPEAKER_21
transcript.pyannote[1832].start 7928.34471875
transcript.pyannote[1832].end 7934.94284375
transcript.pyannote[1833].speaker SPEAKER_12
transcript.pyannote[1833].start 7931.68596875
transcript.pyannote[1833].end 7946.18159375
transcript.pyannote[1834].speaker SPEAKER_21
transcript.pyannote[1834].start 7937.74409375
transcript.pyannote[1834].end 7939.87034375
transcript.pyannote[1835].speaker SPEAKER_21
transcript.pyannote[1835].start 7941.20346875
transcript.pyannote[1835].end 7943.41409375
transcript.pyannote[1836].speaker SPEAKER_21
transcript.pyannote[1836].start 7944.15659375
transcript.pyannote[1836].end 7948.93221875
transcript.pyannote[1837].speaker SPEAKER_12
transcript.pyannote[1837].start 7947.61596875
transcript.pyannote[1837].end 7947.64971875
transcript.pyannote[1838].speaker SPEAKER_12
transcript.pyannote[1838].start 7947.66659375
transcript.pyannote[1838].end 7947.71721875
transcript.pyannote[1839].speaker SPEAKER_12
transcript.pyannote[1839].start 7947.73409375
transcript.pyannote[1839].end 7964.45721875
transcript.pyannote[1840].speaker SPEAKER_21
transcript.pyannote[1840].start 7955.88471875
transcript.pyannote[1840].end 7956.03659375
transcript.pyannote[1841].speaker SPEAKER_10
transcript.pyannote[1841].start 7956.03659375
transcript.pyannote[1841].end 7956.23909375
transcript.pyannote[1842].speaker SPEAKER_21
transcript.pyannote[1842].start 7956.23909375
transcript.pyannote[1842].end 7956.32346875
transcript.pyannote[1843].speaker SPEAKER_10
transcript.pyannote[1843].start 7956.32346875
transcript.pyannote[1843].end 7956.39096875
transcript.pyannote[1844].speaker SPEAKER_00
transcript.pyannote[1844].start 7956.39096875
transcript.pyannote[1844].end 7956.40784375
transcript.pyannote[1845].speaker SPEAKER_10
transcript.pyannote[1845].start 7960.84596875
transcript.pyannote[1845].end 7961.67284375
transcript.pyannote[1846].speaker SPEAKER_10
transcript.pyannote[1846].start 7961.79096875
transcript.pyannote[1846].end 7962.09471875
transcript.pyannote[1847].speaker SPEAKER_10
transcript.pyannote[1847].start 7963.17471875
transcript.pyannote[1847].end 7974.51471875
transcript.pyannote[1848].speaker SPEAKER_12
transcript.pyannote[1848].start 7974.17721875
transcript.pyannote[1848].end 7997.88659375
transcript.pyannote[1849].speaker SPEAKER_10
transcript.pyannote[1849].start 7998.88221875
transcript.pyannote[1849].end 8016.90471875
transcript.pyannote[1850].speaker SPEAKER_12
transcript.pyannote[1850].start 8001.37971875
transcript.pyannote[1850].end 8005.36221875
transcript.pyannote[1851].speaker SPEAKER_12
transcript.pyannote[1851].start 8015.53784375
transcript.pyannote[1851].end 8024.70096875
transcript.pyannote[1852].speaker SPEAKER_10
transcript.pyannote[1852].start 8017.61346875
transcript.pyannote[1852].end 8018.08596875
transcript.pyannote[1853].speaker SPEAKER_10
transcript.pyannote[1853].start 8018.23784375
transcript.pyannote[1853].end 8019.36846875
transcript.pyannote[1854].speaker SPEAKER_22
transcript.pyannote[1854].start 8020.95471875
transcript.pyannote[1854].end 8022.62534375
transcript.pyannote[1855].speaker SPEAKER_10
transcript.pyannote[1855].start 8022.62534375
transcript.pyannote[1855].end 8054.41784375
transcript.pyannote[1856].speaker SPEAKER_12
transcript.pyannote[1856].start 8028.86909375
transcript.pyannote[1856].end 8032.34534375
transcript.pyannote[1857].speaker SPEAKER_12
transcript.pyannote[1857].start 8053.43909375
transcript.pyannote[1857].end 8105.26221875
transcript.pyannote[1858].speaker SPEAKER_00
transcript.pyannote[1858].start 8096.99346875
transcript.pyannote[1858].end 8097.22971875
transcript.pyannote[1859].speaker SPEAKER_00
transcript.pyannote[1859].start 8097.49971875
transcript.pyannote[1859].end 8097.93846875
transcript.pyannote[1860].speaker SPEAKER_12
transcript.pyannote[1860].start 8105.51534375
transcript.pyannote[1860].end 8121.19221875
transcript.pyannote[1861].speaker SPEAKER_12
transcript.pyannote[1861].start 8121.29346875
transcript.pyannote[1861].end 8142.15096875
transcript.pyannote[1862].speaker SPEAKER_12
transcript.pyannote[1862].start 8142.62346875
transcript.pyannote[1862].end 8160.35909375
transcript.pyannote[1863].speaker SPEAKER_12
transcript.pyannote[1863].start 8160.59534375
transcript.pyannote[1863].end 8165.72534375
transcript.pyannote[1864].speaker SPEAKER_12
transcript.pyannote[1864].start 8165.97846875
transcript.pyannote[1864].end 8166.58596875
transcript.pyannote[1865].speaker SPEAKER_12
transcript.pyannote[1865].start 8166.70409375
transcript.pyannote[1865].end 8167.12596875
transcript.pyannote[1866].speaker SPEAKER_12
transcript.pyannote[1866].start 8167.31159375
transcript.pyannote[1866].end 8187.79784375
transcript.pyannote[1867].speaker SPEAKER_12
transcript.pyannote[1867].start 8188.21971875
transcript.pyannote[1867].end 8188.91159375
transcript.pyannote[1868].speaker SPEAKER_21
transcript.pyannote[1868].start 8189.94096875
transcript.pyannote[1868].end 8198.58096875
transcript.pyannote[1869].speaker SPEAKER_21
transcript.pyannote[1869].start 8198.76659375
transcript.pyannote[1869].end 8214.40971875
transcript.pyannote[1870].speaker SPEAKER_21
transcript.pyannote[1870].start 8214.79784375
transcript.pyannote[1870].end 8229.34409375
transcript.pyannote[1871].speaker SPEAKER_12
transcript.pyannote[1871].start 8228.41596875
transcript.pyannote[1871].end 8235.63846875
transcript.pyannote[1872].speaker SPEAKER_21
transcript.pyannote[1872].start 8232.36471875
transcript.pyannote[1872].end 8233.84971875
transcript.pyannote[1873].speaker SPEAKER_21
transcript.pyannote[1873].start 8234.55846875
transcript.pyannote[1873].end 8244.31221875
transcript.pyannote[1874].speaker SPEAKER_12
transcript.pyannote[1874].start 8242.91159375
transcript.pyannote[1874].end 8246.20221875
transcript.pyannote[1875].speaker SPEAKER_10
transcript.pyannote[1875].start 8245.93221875
transcript.pyannote[1875].end 8252.66534375
transcript.pyannote[1876].speaker SPEAKER_12
transcript.pyannote[1876].start 8247.95721875
transcript.pyannote[1876].end 8248.14284375
transcript.pyannote[1877].speaker SPEAKER_10
transcript.pyannote[1877].start 8252.80034375
transcript.pyannote[1877].end 8256.29346875
transcript.pyannote[1878].speaker SPEAKER_10
transcript.pyannote[1878].start 8256.36096875
transcript.pyannote[1878].end 8258.26784375
transcript.pyannote[1879].speaker SPEAKER_10
transcript.pyannote[1879].start 8258.36909375
transcript.pyannote[1879].end 8262.46971875
transcript.pyannote[1880].speaker SPEAKER_10
transcript.pyannote[1880].start 8262.57096875
transcript.pyannote[1880].end 8282.95596875
transcript.pyannote[1881].speaker SPEAKER_12
transcript.pyannote[1881].start 8273.60721875
transcript.pyannote[1881].end 8273.94471875
transcript.pyannote[1882].speaker SPEAKER_12
transcript.pyannote[1882].start 8275.81784375
transcript.pyannote[1882].end 8277.99471875
transcript.pyannote[1883].speaker SPEAKER_12
transcript.pyannote[1883].start 8280.28971875
transcript.pyannote[1883].end 8280.49221875
transcript.pyannote[1884].speaker SPEAKER_12
transcript.pyannote[1884].start 8281.70721875
transcript.pyannote[1884].end 8286.51659375
transcript.pyannote[1885].speaker SPEAKER_10
transcript.pyannote[1885].start 8286.43221875
transcript.pyannote[1885].end 8297.56971875
transcript.pyannote[1886].speaker SPEAKER_12
transcript.pyannote[1886].start 8288.17034375
transcript.pyannote[1886].end 8288.18721875
transcript.pyannote[1887].speaker SPEAKER_06
transcript.pyannote[1887].start 8288.18721875
transcript.pyannote[1887].end 8288.20409375
transcript.pyannote[1888].speaker SPEAKER_12
transcript.pyannote[1888].start 8288.20409375
transcript.pyannote[1888].end 8289.06471875
transcript.pyannote[1889].speaker SPEAKER_12
transcript.pyannote[1889].start 8293.41846875
transcript.pyannote[1889].end 8295.81471875
transcript.pyannote[1890].speaker SPEAKER_12
transcript.pyannote[1890].start 8296.65846875
transcript.pyannote[1890].end 8324.11409375
transcript.pyannote[1891].speaker SPEAKER_10
transcript.pyannote[1891].start 8297.70471875
transcript.pyannote[1891].end 8299.13909375
transcript.pyannote[1892].speaker SPEAKER_10
transcript.pyannote[1892].start 8300.99534375
transcript.pyannote[1892].end 8303.20596875
transcript.pyannote[1893].speaker SPEAKER_10
transcript.pyannote[1893].start 8305.34909375
transcript.pyannote[1893].end 8305.97346875
transcript.pyannote[1894].speaker SPEAKER_20
transcript.pyannote[1894].start 8305.97346875
transcript.pyannote[1894].end 8308.40346875
transcript.pyannote[1895].speaker SPEAKER_15
transcript.pyannote[1895].start 8308.40346875
transcript.pyannote[1895].end 8308.45409375
transcript.pyannote[1896].speaker SPEAKER_20
transcript.pyannote[1896].start 8308.85909375
transcript.pyannote[1896].end 8309.02784375
transcript.pyannote[1897].speaker SPEAKER_15
transcript.pyannote[1897].start 8309.02784375
transcript.pyannote[1897].end 8310.95159375
transcript.pyannote[1898].speaker SPEAKER_21
transcript.pyannote[1898].start 8323.25346875
transcript.pyannote[1898].end 8324.02971875
transcript.pyannote[1899].speaker SPEAKER_10
transcript.pyannote[1899].start 8324.02971875
transcript.pyannote[1899].end 8326.47659375
transcript.pyannote[1900].speaker SPEAKER_21
transcript.pyannote[1900].start 8324.11409375
transcript.pyannote[1900].end 8324.18159375
transcript.pyannote[1901].speaker SPEAKER_12
transcript.pyannote[1901].start 8324.83971875
transcript.pyannote[1901].end 8324.89034375
transcript.pyannote[1902].speaker SPEAKER_21
transcript.pyannote[1902].start 8324.89034375
transcript.pyannote[1902].end 8331.40409375
transcript.pyannote[1903].speaker SPEAKER_12
transcript.pyannote[1903].start 8326.47659375
transcript.pyannote[1903].end 8326.62846875
transcript.pyannote[1904].speaker SPEAKER_10
transcript.pyannote[1904].start 8326.62846875
transcript.pyannote[1904].end 8326.84784375
transcript.pyannote[1905].speaker SPEAKER_21
transcript.pyannote[1905].start 8331.70784375
transcript.pyannote[1905].end 8332.23096875
transcript.pyannote[1906].speaker SPEAKER_21
transcript.pyannote[1906].start 8332.48409375
transcript.pyannote[1906].end 8339.45346875
transcript.pyannote[1907].speaker SPEAKER_12
transcript.pyannote[1907].start 8339.72346875
transcript.pyannote[1907].end 8342.28846875
transcript.pyannote[1908].speaker SPEAKER_12
transcript.pyannote[1908].start 8342.92971875
transcript.pyannote[1908].end 8378.02971875
transcript.pyannote[1909].speaker SPEAKER_11
transcript.pyannote[1909].start 8381.70846875
transcript.pyannote[1909].end 8386.18034375
transcript.pyannote[1910].speaker SPEAKER_11
transcript.pyannote[1910].start 8393.94284375
transcript.pyannote[1910].end 8400.45659375
transcript.pyannote[1911].speaker SPEAKER_11
transcript.pyannote[1911].start 8400.59159375
transcript.pyannote[1911].end 8401.80659375
transcript.pyannote[1912].speaker SPEAKER_11
transcript.pyannote[1912].start 8401.92471875
transcript.pyannote[1912].end 8409.06284375
transcript.pyannote[1913].speaker SPEAKER_07
transcript.pyannote[1913].start 8418.15846875
transcript.pyannote[1913].end 8424.38534375
transcript.pyannote[1914].speaker SPEAKER_11
transcript.pyannote[1914].start 8424.52034375
transcript.pyannote[1914].end 8426.24159375
transcript.pyannote[1915].speaker SPEAKER_07
transcript.pyannote[1915].start 8427.10221875
transcript.pyannote[1915].end 8427.57471875
transcript.pyannote[1916].speaker SPEAKER_07
transcript.pyannote[1916].start 8440.80471875
transcript.pyannote[1916].end 8453.52846875
transcript.pyannote[1917].speaker SPEAKER_00
transcript.pyannote[1917].start 8441.81721875
transcript.pyannote[1917].end 8443.92659375
transcript.pyannote[1918].speaker SPEAKER_07
transcript.pyannote[1918].start 8453.93346875
transcript.pyannote[1918].end 8459.38409375
transcript.pyannote[1919].speaker SPEAKER_22
transcript.pyannote[1919].start 8459.55284375
transcript.pyannote[1919].end 8459.58659375
transcript.pyannote[1920].speaker SPEAKER_07
transcript.pyannote[1920].start 8459.58659375
transcript.pyannote[1920].end 8463.02909375
transcript.pyannote[1921].speaker SPEAKER_22
transcript.pyannote[1921].start 8459.95784375
transcript.pyannote[1921].end 8461.20659375
transcript.pyannote[1922].speaker SPEAKER_00
transcript.pyannote[1922].start 8462.72534375
transcript.pyannote[1922].end 8462.82659375
transcript.pyannote[1923].speaker SPEAKER_07
transcript.pyannote[1923].start 8463.16409375
transcript.pyannote[1923].end 8472.76596875
transcript.pyannote[1924].speaker SPEAKER_07
transcript.pyannote[1924].start 8473.13721875
transcript.pyannote[1924].end 8513.06346875
transcript.pyannote[1925].speaker SPEAKER_07
transcript.pyannote[1925].start 8513.41784375
transcript.pyannote[1925].end 8514.59909375
transcript.pyannote[1926].speaker SPEAKER_07
transcript.pyannote[1926].start 8515.17284375
transcript.pyannote[1926].end 8545.39596875
transcript.pyannote[1927].speaker SPEAKER_07
transcript.pyannote[1927].start 8546.22284375
transcript.pyannote[1927].end 8552.17971875
transcript.pyannote[1928].speaker SPEAKER_07
transcript.pyannote[1928].start 8552.58471875
transcript.pyannote[1928].end 8564.61659375
transcript.pyannote[1929].speaker SPEAKER_07
transcript.pyannote[1929].start 8564.88659375
transcript.pyannote[1929].end 8568.80159375
transcript.pyannote[1930].speaker SPEAKER_07
transcript.pyannote[1930].start 8569.00409375
transcript.pyannote[1930].end 8588.49471875
transcript.pyannote[1931].speaker SPEAKER_07
transcript.pyannote[1931].start 8588.93346875
transcript.pyannote[1931].end 8602.31534375
transcript.pyannote[1932].speaker SPEAKER_07
transcript.pyannote[1932].start 8603.10846875
transcript.pyannote[1932].end 8603.66534375
transcript.pyannote[1933].speaker SPEAKER_07
transcript.pyannote[1933].start 8604.50909375
transcript.pyannote[1933].end 8606.21346875
transcript.pyannote[1934].speaker SPEAKER_07
transcript.pyannote[1934].start 8607.54659375
transcript.pyannote[1934].end 8612.54159375
transcript.pyannote[1935].speaker SPEAKER_07
transcript.pyannote[1935].start 8612.92971875
transcript.pyannote[1935].end 8614.16159375
transcript.pyannote[1936].speaker SPEAKER_22
transcript.pyannote[1936].start 8614.60034375
transcript.pyannote[1936].end 8615.03909375
transcript.pyannote[1937].speaker SPEAKER_07
transcript.pyannote[1937].start 8615.19096875
transcript.pyannote[1937].end 8616.01784375
transcript.pyannote[1938].speaker SPEAKER_07
transcript.pyannote[1938].start 8616.79409375
transcript.pyannote[1938].end 8617.84034375
transcript.pyannote[1939].speaker SPEAKER_07
transcript.pyannote[1939].start 8618.21159375
transcript.pyannote[1939].end 8620.33784375
transcript.pyannote[1940].speaker SPEAKER_07
transcript.pyannote[1940].start 8622.37971875
transcript.pyannote[1940].end 8624.13471875
transcript.pyannote[1941].speaker SPEAKER_07
transcript.pyannote[1941].start 8625.07971875
transcript.pyannote[1941].end 8627.76284375
transcript.pyannote[1942].speaker SPEAKER_07
transcript.pyannote[1942].start 8628.47159375
transcript.pyannote[1942].end 8630.78346875
transcript.pyannote[1943].speaker SPEAKER_07
transcript.pyannote[1943].start 8631.22221875
transcript.pyannote[1943].end 8631.98159375
transcript.pyannote[1944].speaker SPEAKER_07
transcript.pyannote[1944].start 8632.40346875
transcript.pyannote[1944].end 8637.29721875
transcript.pyannote[1945].speaker SPEAKER_07
transcript.pyannote[1945].start 8638.00596875
transcript.pyannote[1945].end 8639.49096875
transcript.pyannote[1946].speaker SPEAKER_07
transcript.pyannote[1946].start 8639.87909375
transcript.pyannote[1946].end 8641.61721875
transcript.pyannote[1947].speaker SPEAKER_07
transcript.pyannote[1947].start 8642.35971875
transcript.pyannote[1947].end 8644.82346875
transcript.pyannote[1948].speaker SPEAKER_07
transcript.pyannote[1948].start 8645.32971875
transcript.pyannote[1948].end 8646.81471875
transcript.pyannote[1949].speaker SPEAKER_07
transcript.pyannote[1949].start 8648.09721875
transcript.pyannote[1949].end 8648.82284375
transcript.pyannote[1950].speaker SPEAKER_10
transcript.pyannote[1950].start 8650.22346875
transcript.pyannote[1950].end 8663.87534375
transcript.pyannote[1951].speaker SPEAKER_15
transcript.pyannote[1951].start 8662.50846875
transcript.pyannote[1951].end 8663.79096875
transcript.pyannote[1952].speaker SPEAKER_10
transcript.pyannote[1952].start 8664.06096875
transcript.pyannote[1952].end 8678.45534375
transcript.pyannote[1953].speaker SPEAKER_00
transcript.pyannote[1953].start 8664.49971875
transcript.pyannote[1953].end 8664.53346875
transcript.pyannote[1954].speaker SPEAKER_07
transcript.pyannote[1954].start 8664.53346875
transcript.pyannote[1954].end 8666.42346875
transcript.pyannote[1955].speaker SPEAKER_15
transcript.pyannote[1955].start 8666.42346875
transcript.pyannote[1955].end 8666.49096875
transcript.pyannote[1956].speaker SPEAKER_07
transcript.pyannote[1956].start 8675.45159375
transcript.pyannote[1956].end 8675.63721875
transcript.pyannote[1957].speaker SPEAKER_07
transcript.pyannote[1957].start 8675.67096875
transcript.pyannote[1957].end 8683.31534375
transcript.pyannote[1958].speaker SPEAKER_07
transcript.pyannote[1958].start 8683.61909375
transcript.pyannote[1958].end 8686.16721875
transcript.pyannote[1959].speaker SPEAKER_10
transcript.pyannote[1959].start 8684.34471875
transcript.pyannote[1959].end 8686.89284375
transcript.pyannote[1960].speaker SPEAKER_07
transcript.pyannote[1960].start 8686.33596875
transcript.pyannote[1960].end 8690.70659375
transcript.pyannote[1961].speaker SPEAKER_07
transcript.pyannote[1961].start 8691.11159375
transcript.pyannote[1961].end 8694.36846875
transcript.pyannote[1962].speaker SPEAKER_10
transcript.pyannote[1962].start 8694.03096875
transcript.pyannote[1962].end 8695.70159375
transcript.pyannote[1963].speaker SPEAKER_07
transcript.pyannote[1963].start 8695.11096875
transcript.pyannote[1963].end 8698.30034375
transcript.pyannote[1964].speaker SPEAKER_07
transcript.pyannote[1964].start 8698.73909375
transcript.pyannote[1964].end 8705.30346875
transcript.pyannote[1965].speaker SPEAKER_10
transcript.pyannote[1965].start 8698.75596875
transcript.pyannote[1965].end 8702.83971875
transcript.pyannote[1966].speaker SPEAKER_07
transcript.pyannote[1966].start 8705.43846875
transcript.pyannote[1966].end 8707.59846875
transcript.pyannote[1967].speaker SPEAKER_10
transcript.pyannote[1967].start 8708.39159375
transcript.pyannote[1967].end 8733.78846875
transcript.pyannote[1968].speaker SPEAKER_07
transcript.pyannote[1968].start 8712.47534375
transcript.pyannote[1968].end 8715.68159375
transcript.pyannote[1969].speaker SPEAKER_00
transcript.pyannote[1969].start 8726.54909375
transcript.pyannote[1969].end 8726.56596875
transcript.pyannote[1970].speaker SPEAKER_07
transcript.pyannote[1970].start 8726.56596875
transcript.pyannote[1970].end 8728.01721875
transcript.pyannote[1971].speaker SPEAKER_00
transcript.pyannote[1971].start 8728.01721875
transcript.pyannote[1971].end 8728.03409375
transcript.pyannote[1972].speaker SPEAKER_07
transcript.pyannote[1972].start 8728.03409375
transcript.pyannote[1972].end 8728.08471875
transcript.pyannote[1973].speaker SPEAKER_07
transcript.pyannote[1973].start 8728.70909375
transcript.pyannote[1973].end 8743.52534375
transcript.pyannote[1974].speaker SPEAKER_10
transcript.pyannote[1974].start 8737.02846875
transcript.pyannote[1974].end 8737.73721875
transcript.pyannote[1975].speaker SPEAKER_10
transcript.pyannote[1975].start 8739.74534375
transcript.pyannote[1975].end 8746.20846875
transcript.pyannote[1976].speaker SPEAKER_07
transcript.pyannote[1976].start 8744.21721875
transcript.pyannote[1976].end 8747.99721875
transcript.pyannote[1977].speaker SPEAKER_10
transcript.pyannote[1977].start 8747.99721875
transcript.pyannote[1977].end 8748.30096875
transcript.pyannote[1978].speaker SPEAKER_07
transcript.pyannote[1978].start 8748.31784375
transcript.pyannote[1978].end 8753.59971875
transcript.pyannote[1979].speaker SPEAKER_10
transcript.pyannote[1979].start 8754.29159375
transcript.pyannote[1979].end 8761.81784375
transcript.pyannote[1980].speaker SPEAKER_07
transcript.pyannote[1980].start 8759.84346875
transcript.pyannote[1980].end 8766.18846875
transcript.pyannote[1981].speaker SPEAKER_10
transcript.pyannote[1981].start 8765.85096875
transcript.pyannote[1981].end 8786.67471875
transcript.pyannote[1982].speaker SPEAKER_07
transcript.pyannote[1982].start 8768.38221875
transcript.pyannote[1982].end 8770.01909375
transcript.pyannote[1983].speaker SPEAKER_07
transcript.pyannote[1983].start 8771.28471875
transcript.pyannote[1983].end 8772.12846875
transcript.pyannote[1984].speaker SPEAKER_07
transcript.pyannote[1984].start 8772.95534375
transcript.pyannote[1984].end 8773.93409375
transcript.pyannote[1985].speaker SPEAKER_07
transcript.pyannote[1985].start 8780.16096875
transcript.pyannote[1985].end 8781.74721875
transcript.pyannote[1986].speaker SPEAKER_07
transcript.pyannote[1986].start 8783.33346875
transcript.pyannote[1986].end 8785.57784375
transcript.pyannote[1987].speaker SPEAKER_07
transcript.pyannote[1987].start 8785.78034375
transcript.pyannote[1987].end 8792.09159375
transcript.pyannote[1988].speaker SPEAKER_10
transcript.pyannote[1988].start 8788.41284375
transcript.pyannote[1988].end 8788.71659375
transcript.pyannote[1989].speaker SPEAKER_10
transcript.pyannote[1989].start 8793.40784375
transcript.pyannote[1989].end 8799.48284375
transcript.pyannote[1990].speaker SPEAKER_07
transcript.pyannote[1990].start 8796.66471875
transcript.pyannote[1990].end 8846.04096875
transcript.pyannote[1991].speaker SPEAKER_10
transcript.pyannote[1991].start 8809.45596875
transcript.pyannote[1991].end 8809.84409375
transcript.pyannote[1992].speaker SPEAKER_10
transcript.pyannote[1992].start 8810.11409375
transcript.pyannote[1992].end 8811.43034375
transcript.pyannote[1993].speaker SPEAKER_07
transcript.pyannote[1993].start 8846.05784375
transcript.pyannote[1993].end 8850.10784375
transcript.pyannote[1994].speaker SPEAKER_07
transcript.pyannote[1994].start 8850.31034375
transcript.pyannote[1994].end 8854.09034375
transcript.pyannote[1995].speaker SPEAKER_07
transcript.pyannote[1995].start 8854.68096875
transcript.pyannote[1995].end 8863.37159375
transcript.pyannote[1996].speaker SPEAKER_07
transcript.pyannote[1996].start 8863.84409375
transcript.pyannote[1996].end 8864.53596875
transcript.pyannote[1997].speaker SPEAKER_07
transcript.pyannote[1997].start 8865.31221875
transcript.pyannote[1997].end 8868.53534375
transcript.pyannote[1998].speaker SPEAKER_07
transcript.pyannote[1998].start 8869.15971875
transcript.pyannote[1998].end 8872.06221875
transcript.pyannote[1999].speaker SPEAKER_10
transcript.pyannote[1999].start 8873.58096875
transcript.pyannote[1999].end 8884.92096875
transcript.pyannote[2000].speaker SPEAKER_07
transcript.pyannote[2000].start 8875.18409375
transcript.pyannote[2000].end 8878.18784375
transcript.pyannote[2001].speaker SPEAKER_07
transcript.pyannote[2001].start 8881.86659375
transcript.pyannote[2001].end 8882.89596875
transcript.pyannote[2002].speaker SPEAKER_07
transcript.pyannote[2002].start 8883.70596875
transcript.pyannote[2002].end 8884.92096875
transcript.pyannote[2003].speaker SPEAKER_15
transcript.pyannote[2003].start 8884.92096875
transcript.pyannote[2003].end 8884.93784375
transcript.pyannote[2004].speaker SPEAKER_10
transcript.pyannote[2004].start 8884.93784375
transcript.pyannote[2004].end 8885.02221875
transcript.pyannote[2005].speaker SPEAKER_10
transcript.pyannote[2005].start 8885.27534375
transcript.pyannote[2005].end 8904.05721875
transcript.pyannote[2006].speaker SPEAKER_15
transcript.pyannote[2006].start 8892.02534375
transcript.pyannote[2006].end 8892.04221875
transcript.pyannote[2007].speaker SPEAKER_07
transcript.pyannote[2007].start 8892.04221875
transcript.pyannote[2007].end 8893.76346875
transcript.pyannote[2008].speaker SPEAKER_07
transcript.pyannote[2008].start 8897.08784375
transcript.pyannote[2008].end 8898.15096875
transcript.pyannote[2009].speaker SPEAKER_07
transcript.pyannote[2009].start 8901.67784375
transcript.pyannote[2009].end 8908.56284375
transcript.pyannote[2010].speaker SPEAKER_10
transcript.pyannote[2010].start 8907.21284375
transcript.pyannote[2010].end 8916.73034375
transcript.pyannote[2011].speaker SPEAKER_22
transcript.pyannote[2011].start 8909.96346875
transcript.pyannote[2011].end 8911.73534375
transcript.pyannote[2012].speaker SPEAKER_07
transcript.pyannote[2012].start 8911.73534375
transcript.pyannote[2012].end 8912.14034375
transcript.pyannote[2013].speaker SPEAKER_07
transcript.pyannote[2013].start 8912.66346875
transcript.pyannote[2013].end 8917.52346875
transcript.pyannote[2014].speaker SPEAKER_07
transcript.pyannote[2014].start 8917.99596875
transcript.pyannote[2014].end 8921.05034375
transcript.pyannote[2015].speaker SPEAKER_22
transcript.pyannote[2015].start 8921.70846875
transcript.pyannote[2015].end 8925.82596875
transcript.pyannote[2016].speaker SPEAKER_07
transcript.pyannote[2016].start 8922.33284375
transcript.pyannote[2016].end 8923.93596875
transcript.pyannote[2017].speaker SPEAKER_22
transcript.pyannote[2017].start 8926.11284375
transcript.pyannote[2017].end 8931.39471875
transcript.pyannote[2018].speaker SPEAKER_07
transcript.pyannote[2018].start 8930.14596875
transcript.pyannote[2018].end 8934.31409375
transcript.pyannote[2019].speaker SPEAKER_07
transcript.pyannote[2019].start 8934.60096875
transcript.pyannote[2019].end 8942.00909375
transcript.pyannote[2020].speaker SPEAKER_07
transcript.pyannote[2020].start 8942.16096875
transcript.pyannote[2020].end 8946.41346875
transcript.pyannote[2021].speaker SPEAKER_07
transcript.pyannote[2021].start 8946.53159375
transcript.pyannote[2021].end 8951.47596875
transcript.pyannote[2022].speaker SPEAKER_07
transcript.pyannote[2022].start 8951.66159375
transcript.pyannote[2022].end 8953.83846875
transcript.pyannote[2023].speaker SPEAKER_07
transcript.pyannote[2023].start 8954.39534375
transcript.pyannote[2023].end 8966.46096875
transcript.pyannote[2024].speaker SPEAKER_07
transcript.pyannote[2024].start 8967.10221875
transcript.pyannote[2024].end 8967.89534375
transcript.pyannote[2025].speaker SPEAKER_07
transcript.pyannote[2025].start 8968.48596875
transcript.pyannote[2025].end 8984.65221875
transcript.pyannote[2026].speaker SPEAKER_07
transcript.pyannote[2026].start 8985.00659375
transcript.pyannote[2026].end 8988.19596875
transcript.pyannote[2027].speaker SPEAKER_15
transcript.pyannote[2027].start 8988.19596875
transcript.pyannote[2027].end 8988.58409375
transcript.pyannote[2028].speaker SPEAKER_07
transcript.pyannote[2028].start 8988.58409375
transcript.pyannote[2028].end 8990.25471875
transcript.pyannote[2029].speaker SPEAKER_07
transcript.pyannote[2029].start 8990.52471875
transcript.pyannote[2029].end 8999.21534375
transcript.pyannote[2030].speaker SPEAKER_07
transcript.pyannote[2030].start 8999.75534375
transcript.pyannote[2030].end 9001.52721875
transcript.pyannote[2031].speaker SPEAKER_07
transcript.pyannote[2031].start 9001.91534375
transcript.pyannote[2031].end 9003.23159375
transcript.pyannote[2032].speaker SPEAKER_07
transcript.pyannote[2032].start 9003.45096875
transcript.pyannote[2032].end 9008.42909375
transcript.pyannote[2033].speaker SPEAKER_07
transcript.pyannote[2033].start 9009.00284375
transcript.pyannote[2033].end 9020.62971875
transcript.pyannote[2034].speaker SPEAKER_07
transcript.pyannote[2034].start 9021.00096875
transcript.pyannote[2034].end 9022.26659375
transcript.pyannote[2035].speaker SPEAKER_07
transcript.pyannote[2035].start 9023.05971875
transcript.pyannote[2035].end 9023.65034375
transcript.pyannote[2036].speaker SPEAKER_07
transcript.pyannote[2036].start 9024.30846875
transcript.pyannote[2036].end 9026.24909375
transcript.pyannote[2037].speaker SPEAKER_07
transcript.pyannote[2037].start 9027.05909375
transcript.pyannote[2037].end 9027.41346875
transcript.pyannote[2038].speaker SPEAKER_07
transcript.pyannote[2038].start 9028.08846875
transcript.pyannote[2038].end 9032.27346875
transcript.pyannote[2039].speaker SPEAKER_07
transcript.pyannote[2039].start 9032.67846875
transcript.pyannote[2039].end 9033.70784375
transcript.pyannote[2040].speaker SPEAKER_10
transcript.pyannote[2040].start 9034.21409375
transcript.pyannote[2040].end 9046.43159375
transcript.pyannote[2041].speaker SPEAKER_10
transcript.pyannote[2041].start 9046.76909375
transcript.pyannote[2041].end 9063.15471875
transcript.pyannote[2042].speaker SPEAKER_07
transcript.pyannote[2042].start 9048.11909375
transcript.pyannote[2042].end 9049.97534375
transcript.pyannote[2043].speaker SPEAKER_00
transcript.pyannote[2043].start 9049.97534375
transcript.pyannote[2043].end 9050.12721875
transcript.pyannote[2044].speaker SPEAKER_00
transcript.pyannote[2044].start 9051.51096875
transcript.pyannote[2044].end 9051.56159375
transcript.pyannote[2045].speaker SPEAKER_07
transcript.pyannote[2045].start 9051.56159375
transcript.pyannote[2045].end 9053.06346875
transcript.pyannote[2046].speaker SPEAKER_07
transcript.pyannote[2046].start 9053.94096875
transcript.pyannote[2046].end 9054.81846875
transcript.pyannote[2047].speaker SPEAKER_10
transcript.pyannote[2047].start 9063.32346875
transcript.pyannote[2047].end 9065.46659375
transcript.pyannote[2048].speaker SPEAKER_10
transcript.pyannote[2048].start 9065.68596875
transcript.pyannote[2048].end 9067.82909375
transcript.pyannote[2049].speaker SPEAKER_07
transcript.pyannote[2049].start 9067.81221875
transcript.pyannote[2049].end 9069.93846875
transcript.pyannote[2050].speaker SPEAKER_22
transcript.pyannote[2050].start 9068.26784375
transcript.pyannote[2050].end 9075.59159375
transcript.pyannote[2051].speaker SPEAKER_07
transcript.pyannote[2051].start 9071.82846875
transcript.pyannote[2051].end 9072.90846875
transcript.pyannote[2052].speaker SPEAKER_07
transcript.pyannote[2052].start 9074.15721875
transcript.pyannote[2052].end 9074.74784375
transcript.pyannote[2053].speaker SPEAKER_07
transcript.pyannote[2053].start 9075.23721875
transcript.pyannote[2053].end 9076.75596875
transcript.pyannote[2054].speaker SPEAKER_22
transcript.pyannote[2054].start 9076.19909375
transcript.pyannote[2054].end 9076.63784375
transcript.pyannote[2055].speaker SPEAKER_07
transcript.pyannote[2055].start 9077.31284375
transcript.pyannote[2055].end 9080.78909375
transcript.pyannote[2056].speaker SPEAKER_22
transcript.pyannote[2056].start 9078.57846875
transcript.pyannote[2056].end 9079.13534375
transcript.pyannote[2057].speaker SPEAKER_07
transcript.pyannote[2057].start 9081.21096875
transcript.pyannote[2057].end 9084.53534375
transcript.pyannote[2058].speaker SPEAKER_07
transcript.pyannote[2058].start 9084.63659375
transcript.pyannote[2058].end 9088.19721875
transcript.pyannote[2059].speaker SPEAKER_22
transcript.pyannote[2059].start 9085.44659375
transcript.pyannote[2059].end 9092.63534375
transcript.pyannote[2060].speaker SPEAKER_07
transcript.pyannote[2060].start 9089.39534375
transcript.pyannote[2060].end 9089.96909375
transcript.pyannote[2061].speaker SPEAKER_10
transcript.pyannote[2061].start 9089.96909375
transcript.pyannote[2061].end 9090.67784375
transcript.pyannote[2062].speaker SPEAKER_10
transcript.pyannote[2062].start 9091.03221875
transcript.pyannote[2062].end 9101.57909375
transcript.pyannote[2063].speaker SPEAKER_07
transcript.pyannote[2063].start 9092.63534375
transcript.pyannote[2063].end 9093.29346875
transcript.pyannote[2064].speaker SPEAKER_07
transcript.pyannote[2064].start 9096.11159375
transcript.pyannote[2064].end 9097.03971875
transcript.pyannote[2065].speaker SPEAKER_07
transcript.pyannote[2065].start 9097.32659375
transcript.pyannote[2065].end 9111.75471875
transcript.pyannote[2066].speaker SPEAKER_07
transcript.pyannote[2066].start 9112.53096875
transcript.pyannote[2066].end 9114.97784375
transcript.pyannote[2067].speaker SPEAKER_10
transcript.pyannote[2067].start 9114.97784375
transcript.pyannote[2067].end 9122.06534375
transcript.pyannote[2068].speaker SPEAKER_07
transcript.pyannote[2068].start 9115.02846875
transcript.pyannote[2068].end 9115.24784375
transcript.pyannote[2069].speaker SPEAKER_22
transcript.pyannote[2069].start 9120.44534375
transcript.pyannote[2069].end 9124.78221875
transcript.pyannote[2070].speaker SPEAKER_22
transcript.pyannote[2070].start 9125.01846875
transcript.pyannote[2070].end 9131.58284375
transcript.pyannote[2071].speaker SPEAKER_10
transcript.pyannote[2071].start 9125.13659375
transcript.pyannote[2071].end 9125.20409375
transcript.pyannote[2072].speaker SPEAKER_07
transcript.pyannote[2072].start 9125.20409375
transcript.pyannote[2072].end 9125.59221875
transcript.pyannote[2073].speaker SPEAKER_10
transcript.pyannote[2073].start 9125.59221875
transcript.pyannote[2073].end 9125.60909375
transcript.pyannote[2074].speaker SPEAKER_07
transcript.pyannote[2074].start 9125.60909375
transcript.pyannote[2074].end 9125.67659375
transcript.pyannote[2075].speaker SPEAKER_07
transcript.pyannote[2075].start 9131.49846875
transcript.pyannote[2075].end 9132.94971875
transcript.pyannote[2076].speaker SPEAKER_22
transcript.pyannote[2076].start 9132.32534375
transcript.pyannote[2076].end 9134.63721875
transcript.pyannote[2077].speaker SPEAKER_07
transcript.pyannote[2077].start 9133.28721875
transcript.pyannote[2077].end 9133.43909375
transcript.pyannote[2078].speaker SPEAKER_07
transcript.pyannote[2078].start 9134.63721875
transcript.pyannote[2078].end 9137.11784375
transcript.pyannote[2079].speaker SPEAKER_10
transcript.pyannote[2079].start 9135.85221875
transcript.pyannote[2079].end 9139.91909375
transcript.pyannote[2080].speaker SPEAKER_07
transcript.pyannote[2080].start 9137.75909375
transcript.pyannote[2080].end 9141.53909375
transcript.pyannote[2081].speaker SPEAKER_10
transcript.pyannote[2081].start 9140.45909375
transcript.pyannote[2081].end 9142.78784375
transcript.pyannote[2082].speaker SPEAKER_07
transcript.pyannote[2082].start 9142.82159375
transcript.pyannote[2082].end 9145.25159375
transcript.pyannote[2083].speaker SPEAKER_07
transcript.pyannote[2083].start 9145.42034375
transcript.pyannote[2083].end 9159.24096875
transcript.pyannote[2084].speaker SPEAKER_07
transcript.pyannote[2084].start 9159.76409375
transcript.pyannote[2084].end 9161.46846875
transcript.pyannote[2085].speaker SPEAKER_07
transcript.pyannote[2085].start 9161.97471875
transcript.pyannote[2085].end 9163.71284375
transcript.pyannote[2086].speaker SPEAKER_07
transcript.pyannote[2086].start 9164.20221875
transcript.pyannote[2086].end 9166.29471875
transcript.pyannote[2087].speaker SPEAKER_15
transcript.pyannote[2087].start 9165.26534375
transcript.pyannote[2087].end 9166.41284375
transcript.pyannote[2088].speaker SPEAKER_07
transcript.pyannote[2088].start 9166.66596875
transcript.pyannote[2088].end 9167.57721875
transcript.pyannote[2089].speaker SPEAKER_07
transcript.pyannote[2089].start 9167.91471875
transcript.pyannote[2089].end 9169.04534375
transcript.pyannote[2090].speaker SPEAKER_07
transcript.pyannote[2090].start 9169.63596875
transcript.pyannote[2090].end 9172.52159375
transcript.pyannote[2091].speaker SPEAKER_07
transcript.pyannote[2091].start 9173.07846875
transcript.pyannote[2091].end 9176.09909375
transcript.pyannote[2092].speaker SPEAKER_07
transcript.pyannote[2092].start 9176.80784375
transcript.pyannote[2092].end 9177.39846875
transcript.pyannote[2093].speaker SPEAKER_07
transcript.pyannote[2093].start 9177.80346875
transcript.pyannote[2093].end 9184.65471875
transcript.pyannote[2094].speaker SPEAKER_07
transcript.pyannote[2094].start 9185.49846875
transcript.pyannote[2094].end 9189.88596875
transcript.pyannote[2095].speaker SPEAKER_07
transcript.pyannote[2095].start 9190.17284375
transcript.pyannote[2095].end 9195.40409375
transcript.pyannote[2096].speaker SPEAKER_07
transcript.pyannote[2096].start 9195.77534375
transcript.pyannote[2096].end 9201.51284375
transcript.pyannote[2097].speaker SPEAKER_07
transcript.pyannote[2097].start 9202.13721875
transcript.pyannote[2097].end 9202.91346875
transcript.pyannote[2098].speaker SPEAKER_07
transcript.pyannote[2098].start 9203.23409375
transcript.pyannote[2098].end 9205.37721875
transcript.pyannote[2099].speaker SPEAKER_07
transcript.pyannote[2099].start 9205.59659375
transcript.pyannote[2099].end 9208.93784375
transcript.pyannote[2100].speaker SPEAKER_07
transcript.pyannote[2100].start 9209.46096875
transcript.pyannote[2100].end 9215.55284375
transcript.pyannote[2101].speaker SPEAKER_07
transcript.pyannote[2101].start 9216.34596875
transcript.pyannote[2101].end 9220.37909375
transcript.pyannote[2102].speaker SPEAKER_07
transcript.pyannote[2102].start 9220.80096875
transcript.pyannote[2102].end 9221.10471875
transcript.pyannote[2103].speaker SPEAKER_07
transcript.pyannote[2103].start 9221.49284375
transcript.pyannote[2103].end 9223.07909375
transcript.pyannote[2104].speaker SPEAKER_07
transcript.pyannote[2104].start 9223.18034375
transcript.pyannote[2104].end 9223.77096875
transcript.pyannote[2105].speaker SPEAKER_07
transcript.pyannote[2105].start 9223.99034375
transcript.pyannote[2105].end 9231.65159375
transcript.pyannote[2106].speaker SPEAKER_07
transcript.pyannote[2106].start 9232.14096875
transcript.pyannote[2106].end 9241.40534375
transcript.pyannote[2107].speaker SPEAKER_07
transcript.pyannote[2107].start 9242.35034375
transcript.pyannote[2107].end 9242.92409375
transcript.pyannote[2108].speaker SPEAKER_07
transcript.pyannote[2108].start 9243.68346875
transcript.pyannote[2108].end 9244.20659375
transcript.pyannote[2109].speaker SPEAKER_07
transcript.pyannote[2109].start 9245.53971875
transcript.pyannote[2109].end 9249.52221875
transcript.pyannote[2110].speaker SPEAKER_07
transcript.pyannote[2110].start 9250.38284375
transcript.pyannote[2110].end 9251.66534375
transcript.pyannote[2111].speaker SPEAKER_07
transcript.pyannote[2111].start 9252.49221875
transcript.pyannote[2111].end 9258.65159375
transcript.pyannote[2112].speaker SPEAKER_22
transcript.pyannote[2112].start 9259.10721875
transcript.pyannote[2112].end 9263.02221875
transcript.pyannote[2113].speaker SPEAKER_22
transcript.pyannote[2113].start 9263.62971875
transcript.pyannote[2113].end 9265.68846875
transcript.pyannote[2114].speaker SPEAKER_22
transcript.pyannote[2114].start 9266.02596875
transcript.pyannote[2114].end 9266.48159375
transcript.pyannote[2115].speaker SPEAKER_22
transcript.pyannote[2115].start 9267.05534375
transcript.pyannote[2115].end 9270.24471875
transcript.pyannote[2116].speaker SPEAKER_22
transcript.pyannote[2116].start 9270.27846875
transcript.pyannote[2116].end 9273.02909375
transcript.pyannote[2117].speaker SPEAKER_22
transcript.pyannote[2117].start 9273.23159375
transcript.pyannote[2117].end 9275.94846875
transcript.pyannote[2118].speaker SPEAKER_22
transcript.pyannote[2118].start 9276.45471875
transcript.pyannote[2118].end 9284.48721875
transcript.pyannote[2119].speaker SPEAKER_07
transcript.pyannote[2119].start 9282.98534375
transcript.pyannote[2119].end 9283.05284375
transcript.pyannote[2120].speaker SPEAKER_10
transcript.pyannote[2120].start 9283.05284375
transcript.pyannote[2120].end 9283.40721875
transcript.pyannote[2121].speaker SPEAKER_07
transcript.pyannote[2121].start 9283.40721875
transcript.pyannote[2121].end 9283.50846875
transcript.pyannote[2122].speaker SPEAKER_07
transcript.pyannote[2122].start 9283.71096875
transcript.pyannote[2122].end 9283.79534375
transcript.pyannote[2123].speaker SPEAKER_10
transcript.pyannote[2123].start 9283.79534375
transcript.pyannote[2123].end 9285.21284375
transcript.pyannote[2124].speaker SPEAKER_22
transcript.pyannote[2124].start 9284.80784375
transcript.pyannote[2124].end 9286.34346875
transcript.pyannote[2125].speaker SPEAKER_07
transcript.pyannote[2125].start 9286.34346875
transcript.pyannote[2125].end 9286.37721875
transcript.pyannote[2126].speaker SPEAKER_10
transcript.pyannote[2126].start 9286.37721875
transcript.pyannote[2126].end 9294.40971875
transcript.pyannote[2127].speaker SPEAKER_07
transcript.pyannote[2127].start 9286.49534375
transcript.pyannote[2127].end 9287.96346875
transcript.pyannote[2128].speaker SPEAKER_15
transcript.pyannote[2128].start 9287.96346875
transcript.pyannote[2128].end 9288.03096875
transcript.pyannote[2129].speaker SPEAKER_07
transcript.pyannote[2129].start 9288.03096875
transcript.pyannote[2129].end 9288.30096875
transcript.pyannote[2130].speaker SPEAKER_07
transcript.pyannote[2130].start 9294.51096875
transcript.pyannote[2130].end 9297.56534375
transcript.pyannote[2131].speaker SPEAKER_10
transcript.pyannote[2131].start 9294.52784375
transcript.pyannote[2131].end 9294.57846875
transcript.pyannote[2132].speaker SPEAKER_10
transcript.pyannote[2132].start 9294.67971875
transcript.pyannote[2132].end 9294.71346875
transcript.pyannote[2133].speaker SPEAKER_10
transcript.pyannote[2133].start 9294.79784375
transcript.pyannote[2133].end 9295.21971875
transcript.pyannote[2134].speaker SPEAKER_10
transcript.pyannote[2134].start 9295.42221875
transcript.pyannote[2134].end 9303.67409375
transcript.pyannote[2135].speaker SPEAKER_07
transcript.pyannote[2135].start 9301.95284375
transcript.pyannote[2135].end 9310.74471875
transcript.pyannote[2136].speaker SPEAKER_07
transcript.pyannote[2136].start 9311.36909375
transcript.pyannote[2136].end 9312.61784375
transcript.pyannote[2137].speaker SPEAKER_07
transcript.pyannote[2137].start 9313.03971875
transcript.pyannote[2137].end 9315.19971875
transcript.pyannote[2138].speaker SPEAKER_07
transcript.pyannote[2138].start 9315.35159375
transcript.pyannote[2138].end 9319.68846875
transcript.pyannote[2139].speaker SPEAKER_07
transcript.pyannote[2139].start 9320.19471875
transcript.pyannote[2139].end 9324.43034375
transcript.pyannote[2140].speaker SPEAKER_07
transcript.pyannote[2140].start 9324.63284375
transcript.pyannote[2140].end 9332.71596875
transcript.pyannote[2141].speaker SPEAKER_07
transcript.pyannote[2141].start 9333.01971875
transcript.pyannote[2141].end 9335.01096875
transcript.pyannote[2142].speaker SPEAKER_07
transcript.pyannote[2142].start 9335.39909375
transcript.pyannote[2142].end 9337.22159375
transcript.pyannote[2143].speaker SPEAKER_07
transcript.pyannote[2143].start 9337.81221875
transcript.pyannote[2143].end 9340.14096875
transcript.pyannote[2144].speaker SPEAKER_07
transcript.pyannote[2144].start 9340.36034375
transcript.pyannote[2144].end 9342.63846875
transcript.pyannote[2145].speaker SPEAKER_07
transcript.pyannote[2145].start 9342.85784375
transcript.pyannote[2145].end 9344.19096875
transcript.pyannote[2146].speaker SPEAKER_07
transcript.pyannote[2146].start 9344.62971875
transcript.pyannote[2146].end 9344.98409375
transcript.pyannote[2147].speaker SPEAKER_07
transcript.pyannote[2147].start 9357.94409375
transcript.pyannote[2147].end 9358.72034375
transcript.pyannote[2148].speaker SPEAKER_07
transcript.pyannote[2148].start 9358.80471875
transcript.pyannote[2148].end 9368.27159375
transcript.pyannote[2149].speaker SPEAKER_15
transcript.pyannote[2149].start 9360.96471875
transcript.pyannote[2149].end 9361.69034375
transcript.pyannote[2150].speaker SPEAKER_15
transcript.pyannote[2150].start 9362.07846875
transcript.pyannote[2150].end 9363.10784375
transcript.pyannote[2151].speaker SPEAKER_15
transcript.pyannote[2151].start 9365.03159375
transcript.pyannote[2151].end 9365.77409375
transcript.pyannote[2152].speaker SPEAKER_15
transcript.pyannote[2152].start 9366.55034375
transcript.pyannote[2152].end 9367.02284375
transcript.pyannote[2153].speaker SPEAKER_07
transcript.pyannote[2153].start 9368.91284375
transcript.pyannote[2153].end 9370.27971875
transcript.pyannote[2154].speaker SPEAKER_07
transcript.pyannote[2154].start 9371.64659375
transcript.pyannote[2154].end 9371.95034375
transcript.pyannote[2155].speaker SPEAKER_11
transcript.pyannote[2155].start 9375.71346875
transcript.pyannote[2155].end 9379.62846875
transcript.pyannote[2156].speaker SPEAKER_11
transcript.pyannote[2156].start 9381.13034375
transcript.pyannote[2156].end 9382.24409375
transcript.pyannote[2157].speaker SPEAKER_11
transcript.pyannote[2157].start 9382.54784375
transcript.pyannote[2157].end 9387.81284375
transcript.pyannote[2158].speaker SPEAKER_05
transcript.pyannote[2158].start 9402.25784375
transcript.pyannote[2158].end 9405.31221875
transcript.pyannote[2159].speaker SPEAKER_05
transcript.pyannote[2159].start 9405.86909375
transcript.pyannote[2159].end 9405.90284375
transcript.pyannote[2160].speaker SPEAKER_11
transcript.pyannote[2160].start 9405.90284375
transcript.pyannote[2160].end 9407.10096875
transcript.pyannote[2161].speaker SPEAKER_22
transcript.pyannote[2161].start 9415.97721875
transcript.pyannote[2161].end 9416.51721875
transcript.pyannote[2162].speaker SPEAKER_05
transcript.pyannote[2162].start 9416.16284375
transcript.pyannote[2162].end 9416.44971875
transcript.pyannote[2163].speaker SPEAKER_05
transcript.pyannote[2163].start 9416.51721875
transcript.pyannote[2163].end 9416.55096875
transcript.pyannote[2164].speaker SPEAKER_05
transcript.pyannote[2164].start 9417.07409375
transcript.pyannote[2164].end 9420.02721875
transcript.pyannote[2165].speaker SPEAKER_05
transcript.pyannote[2165].start 9420.39846875
transcript.pyannote[2165].end 9423.01409375
transcript.pyannote[2166].speaker SPEAKER_22
transcript.pyannote[2166].start 9423.75659375
transcript.pyannote[2166].end 9423.77346875
transcript.pyannote[2167].speaker SPEAKER_05
transcript.pyannote[2167].start 9423.77346875
transcript.pyannote[2167].end 9424.07721875
transcript.pyannote[2168].speaker SPEAKER_05
transcript.pyannote[2168].start 9424.41471875
transcript.pyannote[2168].end 9428.07659375
transcript.pyannote[2169].speaker SPEAKER_05
transcript.pyannote[2169].start 9428.76846875
transcript.pyannote[2169].end 9429.93284375
transcript.pyannote[2170].speaker SPEAKER_05
transcript.pyannote[2170].start 9430.65846875
transcript.pyannote[2170].end 9432.64971875
transcript.pyannote[2171].speaker SPEAKER_05
transcript.pyannote[2171].start 9433.37534375
transcript.pyannote[2171].end 9434.18534375
transcript.pyannote[2172].speaker SPEAKER_05
transcript.pyannote[2172].start 9434.43846875
transcript.pyannote[2172].end 9435.48471875
transcript.pyannote[2173].speaker SPEAKER_05
transcript.pyannote[2173].start 9436.02471875
transcript.pyannote[2173].end 9436.83471875
transcript.pyannote[2174].speaker SPEAKER_05
transcript.pyannote[2174].start 9437.10471875
transcript.pyannote[2174].end 9440.78346875
transcript.pyannote[2175].speaker SPEAKER_05
transcript.pyannote[2175].start 9441.23909375
transcript.pyannote[2175].end 9443.43284375
transcript.pyannote[2176].speaker SPEAKER_05
transcript.pyannote[2176].start 9443.85471875
transcript.pyannote[2176].end 9444.90096875
transcript.pyannote[2177].speaker SPEAKER_05
transcript.pyannote[2177].start 9445.08659375
transcript.pyannote[2177].end 9446.60534375
transcript.pyannote[2178].speaker SPEAKER_05
transcript.pyannote[2178].start 9447.41534375
transcript.pyannote[2178].end 9450.85784375
transcript.pyannote[2179].speaker SPEAKER_05
transcript.pyannote[2179].start 9451.73534375
transcript.pyannote[2179].end 9457.42221875
transcript.pyannote[2180].speaker SPEAKER_05
transcript.pyannote[2180].start 9457.59096875
transcript.pyannote[2180].end 9459.16034375
transcript.pyannote[2181].speaker SPEAKER_05
transcript.pyannote[2181].start 9459.51471875
transcript.pyannote[2181].end 9461.55659375
transcript.pyannote[2182].speaker SPEAKER_05
transcript.pyannote[2182].start 9462.23159375
transcript.pyannote[2182].end 9465.06659375
transcript.pyannote[2183].speaker SPEAKER_05
transcript.pyannote[2183].start 9465.70784375
transcript.pyannote[2183].end 9466.48409375
transcript.pyannote[2184].speaker SPEAKER_22
transcript.pyannote[2184].start 9466.80471875
transcript.pyannote[2184].end 9468.61034375
transcript.pyannote[2185].speaker SPEAKER_05
transcript.pyannote[2185].start 9468.23909375
transcript.pyannote[2185].end 9468.77909375
transcript.pyannote[2186].speaker SPEAKER_05
transcript.pyannote[2186].start 9468.96471875
transcript.pyannote[2186].end 9471.88409375
transcript.pyannote[2187].speaker SPEAKER_05
transcript.pyannote[2187].start 9472.62659375
transcript.pyannote[2187].end 9480.03471875
transcript.pyannote[2188].speaker SPEAKER_05
transcript.pyannote[2188].start 9480.84471875
transcript.pyannote[2188].end 9481.51971875
transcript.pyannote[2189].speaker SPEAKER_05
transcript.pyannote[2189].start 9481.73909375
transcript.pyannote[2189].end 9484.60784375
transcript.pyannote[2190].speaker SPEAKER_05
transcript.pyannote[2190].start 9484.99596875
transcript.pyannote[2190].end 9485.99159375
transcript.pyannote[2191].speaker SPEAKER_05
transcript.pyannote[2191].start 9486.41346875
transcript.pyannote[2191].end 9487.66221875
transcript.pyannote[2192].speaker SPEAKER_05
transcript.pyannote[2192].start 9488.57346875
transcript.pyannote[2192].end 9488.89409375
transcript.pyannote[2193].speaker SPEAKER_05
transcript.pyannote[2193].start 9489.73784375
transcript.pyannote[2193].end 9491.00346875
transcript.pyannote[2194].speaker SPEAKER_05
transcript.pyannote[2194].start 9491.32409375
transcript.pyannote[2194].end 9492.53909375
transcript.pyannote[2195].speaker SPEAKER_05
transcript.pyannote[2195].start 9493.43346875
transcript.pyannote[2195].end 9494.10846875
transcript.pyannote[2196].speaker SPEAKER_05
transcript.pyannote[2196].start 9494.71596875
transcript.pyannote[2196].end 9495.59346875
transcript.pyannote[2197].speaker SPEAKER_05
transcript.pyannote[2197].start 9495.82971875
transcript.pyannote[2197].end 9496.50471875
transcript.pyannote[2198].speaker SPEAKER_05
transcript.pyannote[2198].start 9496.94346875
transcript.pyannote[2198].end 9498.12471875
transcript.pyannote[2199].speaker SPEAKER_05
transcript.pyannote[2199].start 9499.20471875
transcript.pyannote[2199].end 9503.30534375
transcript.pyannote[2200].speaker SPEAKER_05
transcript.pyannote[2200].start 9504.01409375
transcript.pyannote[2200].end 9507.92909375
transcript.pyannote[2201].speaker SPEAKER_05
transcript.pyannote[2201].start 9508.50284375
transcript.pyannote[2201].end 9509.34659375
transcript.pyannote[2202].speaker SPEAKER_05
transcript.pyannote[2202].start 9509.88659375
transcript.pyannote[2202].end 9510.32534375
transcript.pyannote[2203].speaker SPEAKER_05
transcript.pyannote[2203].start 9511.13534375
transcript.pyannote[2203].end 9514.35846875
transcript.pyannote[2204].speaker SPEAKER_05
transcript.pyannote[2204].start 9515.26971875
transcript.pyannote[2204].end 9516.51846875
transcript.pyannote[2205].speaker SPEAKER_05
transcript.pyannote[2205].start 9517.81784375
transcript.pyannote[2205].end 9518.83034375
transcript.pyannote[2206].speaker SPEAKER_22
transcript.pyannote[2206].start 9519.23534375
transcript.pyannote[2206].end 9520.83846875
transcript.pyannote[2207].speaker SPEAKER_22
transcript.pyannote[2207].start 9520.87221875
transcript.pyannote[2207].end 9521.68221875
transcript.pyannote[2208].speaker SPEAKER_05
transcript.pyannote[2208].start 9520.97346875
transcript.pyannote[2208].end 9521.58096875
transcript.pyannote[2209].speaker SPEAKER_05
transcript.pyannote[2209].start 9521.68221875
transcript.pyannote[2209].end 9521.69909375
transcript.pyannote[2210].speaker SPEAKER_22
transcript.pyannote[2210].start 9521.95221875
transcript.pyannote[2210].end 9527.63909375
transcript.pyannote[2211].speaker SPEAKER_05
transcript.pyannote[2211].start 9524.73659375
transcript.pyannote[2211].end 9525.86721875
transcript.pyannote[2212].speaker SPEAKER_05
transcript.pyannote[2212].start 9527.63909375
transcript.pyannote[2212].end 9531.03096875
transcript.pyannote[2213].speaker SPEAKER_05
transcript.pyannote[2213].start 9532.65096875
transcript.pyannote[2213].end 9536.16096875
transcript.pyannote[2214].speaker SPEAKER_05
transcript.pyannote[2214].start 9537.20721875
transcript.pyannote[2214].end 9540.86909375
transcript.pyannote[2215].speaker SPEAKER_05
transcript.pyannote[2215].start 9541.59471875
transcript.pyannote[2215].end 9543.09659375
transcript.pyannote[2216].speaker SPEAKER_05
transcript.pyannote[2216].start 9543.80534375
transcript.pyannote[2216].end 9545.13846875
transcript.pyannote[2217].speaker SPEAKER_05
transcript.pyannote[2217].start 9547.82159375
transcript.pyannote[2217].end 9549.50909375
transcript.pyannote[2218].speaker SPEAKER_05
transcript.pyannote[2218].start 9550.45409375
transcript.pyannote[2218].end 9556.84971875
transcript.pyannote[2219].speaker SPEAKER_05
transcript.pyannote[2219].start 9557.74409375
transcript.pyannote[2219].end 9559.51596875
transcript.pyannote[2220].speaker SPEAKER_05
transcript.pyannote[2220].start 9560.51159375
transcript.pyannote[2220].end 9561.23721875
transcript.pyannote[2221].speaker SPEAKER_05
transcript.pyannote[2221].start 9561.76034375
transcript.pyannote[2221].end 9562.92471875
transcript.pyannote[2222].speaker SPEAKER_05
transcript.pyannote[2222].start 9563.51534375
transcript.pyannote[2222].end 9565.18596875
transcript.pyannote[2223].speaker SPEAKER_05
transcript.pyannote[2223].start 9566.68784375
transcript.pyannote[2223].end 9569.64096875
transcript.pyannote[2224].speaker SPEAKER_05
transcript.pyannote[2224].start 9570.02909375
transcript.pyannote[2224].end 9571.21034375
transcript.pyannote[2225].speaker SPEAKER_22
transcript.pyannote[2225].start 9570.06284375
transcript.pyannote[2225].end 9570.80534375
transcript.pyannote[2226].speaker SPEAKER_22
transcript.pyannote[2226].start 9571.21034375
transcript.pyannote[2226].end 9571.22721875
transcript.pyannote[2227].speaker SPEAKER_05
transcript.pyannote[2227].start 9571.69971875
transcript.pyannote[2227].end 9571.96971875
transcript.pyannote[2228].speaker SPEAKER_22
transcript.pyannote[2228].start 9571.96971875
transcript.pyannote[2228].end 9572.52659375
transcript.pyannote[2229].speaker SPEAKER_22
transcript.pyannote[2229].start 9572.69534375
transcript.pyannote[2229].end 9577.58909375
transcript.pyannote[2230].speaker SPEAKER_22
transcript.pyannote[2230].start 9578.28096875
transcript.pyannote[2230].end 9579.61409375
transcript.pyannote[2231].speaker SPEAKER_22
transcript.pyannote[2231].start 9579.83346875
transcript.pyannote[2231].end 9582.12846875
transcript.pyannote[2232].speaker SPEAKER_22
transcript.pyannote[2232].start 9582.46596875
transcript.pyannote[2232].end 9583.81596875
transcript.pyannote[2233].speaker SPEAKER_22
transcript.pyannote[2233].start 9584.08596875
transcript.pyannote[2233].end 9594.59909375
transcript.pyannote[2234].speaker SPEAKER_22
transcript.pyannote[2234].start 9595.17284375
transcript.pyannote[2234].end 9597.29909375
transcript.pyannote[2235].speaker SPEAKER_22
transcript.pyannote[2235].start 9598.09221875
transcript.pyannote[2235].end 9600.69096875
transcript.pyannote[2236].speaker SPEAKER_22
transcript.pyannote[2236].start 9601.16346875
transcript.pyannote[2236].end 9601.46721875
transcript.pyannote[2237].speaker SPEAKER_22
transcript.pyannote[2237].start 9601.90596875
transcript.pyannote[2237].end 9605.07846875
transcript.pyannote[2238].speaker SPEAKER_22
transcript.pyannote[2238].start 9605.33159375
transcript.pyannote[2238].end 9605.75346875
transcript.pyannote[2239].speaker SPEAKER_05
transcript.pyannote[2239].start 9605.46659375
transcript.pyannote[2239].end 9617.17784375
transcript.pyannote[2240].speaker SPEAKER_22
transcript.pyannote[2240].start 9607.00221875
transcript.pyannote[2240].end 9607.33971875
transcript.pyannote[2241].speaker SPEAKER_22
transcript.pyannote[2241].start 9611.37284375
transcript.pyannote[2241].end 9611.96346875
transcript.pyannote[2242].speaker SPEAKER_05
transcript.pyannote[2242].start 9617.58284375
transcript.pyannote[2242].end 9618.34221875
transcript.pyannote[2243].speaker SPEAKER_05
transcript.pyannote[2243].start 9619.70909375
transcript.pyannote[2243].end 9620.63721875
transcript.pyannote[2244].speaker SPEAKER_05
transcript.pyannote[2244].start 9621.76784375
transcript.pyannote[2244].end 9623.42159375
transcript.pyannote[2245].speaker SPEAKER_05
transcript.pyannote[2245].start 9623.52284375
transcript.pyannote[2245].end 9625.02471875
transcript.pyannote[2246].speaker SPEAKER_05
transcript.pyannote[2246].start 9625.88534375
transcript.pyannote[2246].end 9628.01159375
transcript.pyannote[2247].speaker SPEAKER_05
transcript.pyannote[2247].start 9629.24346875
transcript.pyannote[2247].end 9630.96471875
transcript.pyannote[2248].speaker SPEAKER_05
transcript.pyannote[2248].start 9633.36096875
transcript.pyannote[2248].end 9633.98534375
transcript.pyannote[2249].speaker SPEAKER_05
transcript.pyannote[2249].start 9634.25534375
transcript.pyannote[2249].end 9637.03971875
transcript.pyannote[2250].speaker SPEAKER_05
transcript.pyannote[2250].start 9637.30971875
transcript.pyannote[2250].end 9640.58346875
transcript.pyannote[2251].speaker SPEAKER_22
transcript.pyannote[2251].start 9641.08971875
transcript.pyannote[2251].end 9642.01784375
transcript.pyannote[2252].speaker SPEAKER_05
transcript.pyannote[2252].start 9641.41034375
transcript.pyannote[2252].end 9642.99659375
transcript.pyannote[2253].speaker SPEAKER_22
transcript.pyannote[2253].start 9642.03471875
transcript.pyannote[2253].end 9642.05159375
transcript.pyannote[2254].speaker SPEAKER_22
transcript.pyannote[2254].start 9642.35534375
transcript.pyannote[2254].end 9643.48596875
transcript.pyannote[2255].speaker SPEAKER_22
transcript.pyannote[2255].start 9643.75596875
transcript.pyannote[2255].end 9645.32534375
transcript.pyannote[2256].speaker SPEAKER_22
transcript.pyannote[2256].start 9645.74721875
transcript.pyannote[2256].end 9647.21534375
transcript.pyannote[2257].speaker SPEAKER_22
transcript.pyannote[2257].start 9647.63721875
transcript.pyannote[2257].end 9648.37971875
transcript.pyannote[2258].speaker SPEAKER_22
transcript.pyannote[2258].start 9648.71721875
transcript.pyannote[2258].end 9649.86471875
transcript.pyannote[2259].speaker SPEAKER_22
transcript.pyannote[2259].start 9650.16846875
transcript.pyannote[2259].end 9652.56471875
transcript.pyannote[2260].speaker SPEAKER_22
transcript.pyannote[2260].start 9652.91909375
transcript.pyannote[2260].end 9654.47159375
transcript.pyannote[2261].speaker SPEAKER_22
transcript.pyannote[2261].start 9654.85971875
transcript.pyannote[2261].end 9656.31096875
transcript.pyannote[2262].speaker SPEAKER_22
transcript.pyannote[2262].start 9656.56409375
transcript.pyannote[2262].end 9657.89721875
transcript.pyannote[2263].speaker SPEAKER_22
transcript.pyannote[2263].start 9658.40346875
transcript.pyannote[2263].end 9659.17971875
transcript.pyannote[2264].speaker SPEAKER_22
transcript.pyannote[2264].start 9659.63534375
transcript.pyannote[2264].end 9665.17034375
transcript.pyannote[2265].speaker SPEAKER_22
transcript.pyannote[2265].start 9665.22096875
transcript.pyannote[2265].end 9668.66346875
transcript.pyannote[2266].speaker SPEAKER_22
transcript.pyannote[2266].start 9668.79846875
transcript.pyannote[2266].end 9672.46034375
transcript.pyannote[2267].speaker SPEAKER_05
transcript.pyannote[2267].start 9672.56159375
transcript.pyannote[2267].end 9675.09284375
transcript.pyannote[2268].speaker SPEAKER_05
transcript.pyannote[2268].start 9675.59909375
transcript.pyannote[2268].end 9676.17284375
transcript.pyannote[2269].speaker SPEAKER_05
transcript.pyannote[2269].start 9676.51034375
transcript.pyannote[2269].end 9676.86471875
transcript.pyannote[2270].speaker SPEAKER_05
transcript.pyannote[2270].start 9677.25284375
transcript.pyannote[2270].end 9679.64909375
transcript.pyannote[2271].speaker SPEAKER_05
transcript.pyannote[2271].start 9680.93159375
transcript.pyannote[2271].end 9681.96096875
transcript.pyannote[2272].speaker SPEAKER_05
transcript.pyannote[2272].start 9682.18034375
transcript.pyannote[2272].end 9684.35721875
transcript.pyannote[2273].speaker SPEAKER_05
transcript.pyannote[2273].start 9685.47096875
transcript.pyannote[2273].end 9688.37346875
transcript.pyannote[2274].speaker SPEAKER_05
transcript.pyannote[2274].start 9688.66034375
transcript.pyannote[2274].end 9689.67284375
transcript.pyannote[2275].speaker SPEAKER_05
transcript.pyannote[2275].start 9690.61784375
transcript.pyannote[2275].end 9695.24159375
transcript.pyannote[2276].speaker SPEAKER_05
transcript.pyannote[2276].start 9696.03471875
transcript.pyannote[2276].end 9697.23284375
transcript.pyannote[2277].speaker SPEAKER_05
transcript.pyannote[2277].start 9697.62096875
transcript.pyannote[2277].end 9699.76409375
transcript.pyannote[2278].speaker SPEAKER_05
transcript.pyannote[2278].start 9700.30409375
transcript.pyannote[2278].end 9706.21034375
transcript.pyannote[2279].speaker SPEAKER_05
transcript.pyannote[2279].start 9706.80096875
transcript.pyannote[2279].end 9708.53909375
transcript.pyannote[2280].speaker SPEAKER_05
transcript.pyannote[2280].start 9710.12534375
transcript.pyannote[2280].end 9713.55096875
transcript.pyannote[2281].speaker SPEAKER_05
transcript.pyannote[2281].start 9713.78721875
transcript.pyannote[2281].end 9716.13284375
transcript.pyannote[2282].speaker SPEAKER_05
transcript.pyannote[2282].start 9716.50409375
transcript.pyannote[2282].end 9716.87534375
transcript.pyannote[2283].speaker SPEAKER_05
transcript.pyannote[2283].start 9717.24659375
transcript.pyannote[2283].end 9718.76534375
transcript.pyannote[2284].speaker SPEAKER_05
transcript.pyannote[2284].start 9719.38971875
transcript.pyannote[2284].end 9720.41909375
transcript.pyannote[2285].speaker SPEAKER_05
transcript.pyannote[2285].start 9721.48221875
transcript.pyannote[2285].end 9726.02159375
transcript.pyannote[2286].speaker SPEAKER_05
transcript.pyannote[2286].start 9726.57846875
transcript.pyannote[2286].end 9727.60784375
transcript.pyannote[2287].speaker SPEAKER_05
transcript.pyannote[2287].start 9728.33346875
transcript.pyannote[2287].end 9728.62034375
transcript.pyannote[2288].speaker SPEAKER_05
transcript.pyannote[2288].start 9729.24471875
transcript.pyannote[2288].end 9733.86846875
transcript.pyannote[2289].speaker SPEAKER_05
transcript.pyannote[2289].start 9734.15534375
transcript.pyannote[2289].end 9735.58971875
transcript.pyannote[2290].speaker SPEAKER_05
transcript.pyannote[2290].start 9735.97784375
transcript.pyannote[2290].end 9739.65659375
transcript.pyannote[2291].speaker SPEAKER_05
transcript.pyannote[2291].start 9740.29784375
transcript.pyannote[2291].end 9741.31034375
transcript.pyannote[2292].speaker SPEAKER_05
transcript.pyannote[2292].start 9741.49596875
transcript.pyannote[2292].end 9743.43659375
transcript.pyannote[2293].speaker SPEAKER_05
transcript.pyannote[2293].start 9743.52096875
transcript.pyannote[2293].end 9746.35596875
transcript.pyannote[2294].speaker SPEAKER_05
transcript.pyannote[2294].start 9746.91284375
transcript.pyannote[2294].end 9751.68846875
transcript.pyannote[2295].speaker SPEAKER_05
transcript.pyannote[2295].start 9752.14409375
transcript.pyannote[2295].end 9755.72159375
transcript.pyannote[2296].speaker SPEAKER_05
transcript.pyannote[2296].start 9756.00846875
transcript.pyannote[2296].end 9762.26909375
transcript.pyannote[2297].speaker SPEAKER_05
transcript.pyannote[2297].start 9763.02846875
transcript.pyannote[2297].end 9764.26034375
transcript.pyannote[2298].speaker SPEAKER_05
transcript.pyannote[2298].start 9764.44596875
transcript.pyannote[2298].end 9766.26846875
transcript.pyannote[2299].speaker SPEAKER_05
transcript.pyannote[2299].start 9766.58909375
transcript.pyannote[2299].end 9767.41596875
transcript.pyannote[2300].speaker SPEAKER_05
transcript.pyannote[2300].start 9767.61846875
transcript.pyannote[2300].end 9768.41159375
transcript.pyannote[2301].speaker SPEAKER_05
transcript.pyannote[2301].start 9768.59721875
transcript.pyannote[2301].end 9772.44471875
transcript.pyannote[2302].speaker SPEAKER_05
transcript.pyannote[2302].start 9772.69784375
transcript.pyannote[2302].end 9776.98409375
transcript.pyannote[2303].speaker SPEAKER_05
transcript.pyannote[2303].start 9777.52409375
transcript.pyannote[2303].end 9782.02971875
transcript.pyannote[2304].speaker SPEAKER_05
transcript.pyannote[2304].start 9782.55284375
transcript.pyannote[2304].end 9784.84784375
transcript.pyannote[2305].speaker SPEAKER_22
transcript.pyannote[2305].start 9785.45534375
transcript.pyannote[2305].end 9786.18096875
transcript.pyannote[2306].speaker SPEAKER_22
transcript.pyannote[2306].start 9787.41284375
transcript.pyannote[2306].end 9790.04534375
transcript.pyannote[2307].speaker SPEAKER_22
transcript.pyannote[2307].start 9790.24784375
transcript.pyannote[2307].end 9791.26034375
transcript.pyannote[2308].speaker SPEAKER_22
transcript.pyannote[2308].start 9791.46284375
transcript.pyannote[2308].end 9793.67346875
transcript.pyannote[2309].speaker SPEAKER_22
transcript.pyannote[2309].start 9794.16284375
transcript.pyannote[2309].end 9796.15409375
transcript.pyannote[2310].speaker SPEAKER_22
transcript.pyannote[2310].start 9796.42409375
transcript.pyannote[2310].end 9799.73159375
transcript.pyannote[2311].speaker SPEAKER_22
transcript.pyannote[2311].start 9800.23784375
transcript.pyannote[2311].end 9802.54971875
transcript.pyannote[2312].speaker SPEAKER_05
transcript.pyannote[2312].start 9800.37284375
transcript.pyannote[2312].end 9801.26721875
transcript.pyannote[2313].speaker SPEAKER_05
transcript.pyannote[2313].start 9802.73534375
transcript.pyannote[2313].end 9810.59909375
transcript.pyannote[2314].speaker SPEAKER_05
transcript.pyannote[2314].start 9810.80159375
transcript.pyannote[2314].end 9810.85221875
transcript.pyannote[2315].speaker SPEAKER_22
transcript.pyannote[2315].start 9810.85221875
transcript.pyannote[2315].end 9812.94471875
transcript.pyannote[2316].speaker SPEAKER_05
transcript.pyannote[2316].start 9812.94471875
transcript.pyannote[2316].end 9814.00784375
transcript.pyannote[2317].speaker SPEAKER_22
transcript.pyannote[2317].start 9814.27784375
transcript.pyannote[2317].end 9815.50971875
transcript.pyannote[2318].speaker SPEAKER_22
transcript.pyannote[2318].start 9815.86409375
transcript.pyannote[2318].end 9815.89784375
transcript.pyannote[2319].speaker SPEAKER_05
transcript.pyannote[2319].start 9815.89784375
transcript.pyannote[2319].end 9815.98221875
transcript.pyannote[2320].speaker SPEAKER_22
transcript.pyannote[2320].start 9815.98221875
transcript.pyannote[2320].end 9816.06659375
transcript.pyannote[2321].speaker SPEAKER_05
transcript.pyannote[2321].start 9816.06659375
transcript.pyannote[2321].end 9816.62346875
transcript.pyannote[2322].speaker SPEAKER_22
transcript.pyannote[2322].start 9816.62346875
transcript.pyannote[2322].end 9817.34909375
transcript.pyannote[2323].speaker SPEAKER_05
transcript.pyannote[2323].start 9817.34909375
transcript.pyannote[2323].end 9820.21784375
transcript.pyannote[2324].speaker SPEAKER_22
transcript.pyannote[2324].start 9819.30659375
transcript.pyannote[2324].end 9821.26409375
transcript.pyannote[2325].speaker SPEAKER_22
transcript.pyannote[2325].start 9821.87159375
transcript.pyannote[2325].end 9822.39471875
transcript.pyannote[2326].speaker SPEAKER_22
transcript.pyannote[2326].start 9822.83346875
transcript.pyannote[2326].end 9823.72784375
transcript.pyannote[2327].speaker SPEAKER_22
transcript.pyannote[2327].start 9823.96409375
transcript.pyannote[2327].end 9828.77346875
transcript.pyannote[2328].speaker SPEAKER_22
transcript.pyannote[2328].start 9829.14471875
transcript.pyannote[2328].end 9830.14034375
transcript.pyannote[2329].speaker SPEAKER_22
transcript.pyannote[2329].start 9830.56221875
transcript.pyannote[2329].end 9832.11471875
transcript.pyannote[2330].speaker SPEAKER_05
transcript.pyannote[2330].start 9831.60846875
transcript.pyannote[2330].end 9835.13534375
transcript.pyannote[2331].speaker SPEAKER_05
transcript.pyannote[2331].start 9835.55721875
transcript.pyannote[2331].end 9838.47659375
transcript.pyannote[2332].speaker SPEAKER_05
transcript.pyannote[2332].start 9838.81409375
transcript.pyannote[2332].end 9840.19784375
transcript.pyannote[2333].speaker SPEAKER_05
transcript.pyannote[2333].start 9840.50159375
transcript.pyannote[2333].end 9843.43784375
transcript.pyannote[2334].speaker SPEAKER_05
transcript.pyannote[2334].start 9843.82596875
transcript.pyannote[2334].end 9848.55096875
transcript.pyannote[2335].speaker SPEAKER_05
transcript.pyannote[2335].start 9848.98971875
transcript.pyannote[2335].end 9849.83346875
transcript.pyannote[2336].speaker SPEAKER_05
transcript.pyannote[2336].start 9850.42409375
transcript.pyannote[2336].end 9852.01034375
transcript.pyannote[2337].speaker SPEAKER_05
transcript.pyannote[2337].start 9852.83721875
transcript.pyannote[2337].end 9855.25034375
transcript.pyannote[2338].speaker SPEAKER_05
transcript.pyannote[2338].start 9856.16159375
transcript.pyannote[2338].end 9857.59596875
transcript.pyannote[2339].speaker SPEAKER_05
transcript.pyannote[2339].start 9858.27096875
transcript.pyannote[2339].end 9863.06346875
transcript.pyannote[2340].speaker SPEAKER_05
transcript.pyannote[2340].start 9864.85221875
transcript.pyannote[2340].end 9865.88159375
transcript.pyannote[2341].speaker SPEAKER_05
transcript.pyannote[2341].start 9866.28659375
transcript.pyannote[2341].end 9869.34096875
transcript.pyannote[2342].speaker SPEAKER_05
transcript.pyannote[2342].start 9870.21846875
transcript.pyannote[2342].end 9871.73721875
transcript.pyannote[2343].speaker SPEAKER_05
transcript.pyannote[2343].start 9872.49659375
transcript.pyannote[2343].end 9874.23471875
transcript.pyannote[2344].speaker SPEAKER_22
transcript.pyannote[2344].start 9874.57221875
transcript.pyannote[2344].end 9876.91784375
transcript.pyannote[2345].speaker SPEAKER_22
transcript.pyannote[2345].start 9877.32284375
transcript.pyannote[2345].end 9878.03159375
transcript.pyannote[2346].speaker SPEAKER_22
transcript.pyannote[2346].start 9878.09909375
transcript.pyannote[2346].end 9879.34784375
transcript.pyannote[2347].speaker SPEAKER_22
transcript.pyannote[2347].start 9879.88784375
transcript.pyannote[2347].end 9882.35159375
transcript.pyannote[2348].speaker SPEAKER_22
transcript.pyannote[2348].start 9882.53721875
transcript.pyannote[2348].end 9886.60409375
transcript.pyannote[2349].speaker SPEAKER_05
transcript.pyannote[2349].start 9886.33409375
transcript.pyannote[2349].end 9887.73471875
transcript.pyannote[2350].speaker SPEAKER_05
transcript.pyannote[2350].start 9888.05534375
transcript.pyannote[2350].end 9889.94534375
transcript.pyannote[2351].speaker SPEAKER_05
transcript.pyannote[2351].start 9890.40096875
transcript.pyannote[2351].end 9892.84784375
transcript.pyannote[2352].speaker SPEAKER_05
transcript.pyannote[2352].start 9893.30346875
transcript.pyannote[2352].end 9897.35346875
transcript.pyannote[2353].speaker SPEAKER_05
transcript.pyannote[2353].start 9897.62346875
transcript.pyannote[2353].end 9899.59784375
transcript.pyannote[2354].speaker SPEAKER_22
transcript.pyannote[2354].start 9899.39534375
transcript.pyannote[2354].end 9899.64846875
transcript.pyannote[2355].speaker SPEAKER_05
transcript.pyannote[2355].start 9899.64846875
transcript.pyannote[2355].end 9899.71596875
transcript.pyannote[2356].speaker SPEAKER_05
transcript.pyannote[2356].start 9900.08721875
transcript.pyannote[2356].end 9903.00659375
transcript.pyannote[2357].speaker SPEAKER_22
transcript.pyannote[2357].start 9902.95596875
transcript.pyannote[2357].end 9904.10346875
transcript.pyannote[2358].speaker SPEAKER_05
transcript.pyannote[2358].start 9903.76596875
transcript.pyannote[2358].end 9904.59284375
transcript.pyannote[2359].speaker SPEAKER_05
transcript.pyannote[2359].start 9904.96409375
transcript.pyannote[2359].end 9906.73596875
transcript.pyannote[2360].speaker SPEAKER_05
transcript.pyannote[2360].start 9906.95534375
transcript.pyannote[2360].end 9910.33034375
transcript.pyannote[2361].speaker SPEAKER_05
transcript.pyannote[2361].start 9911.07284375
transcript.pyannote[2361].end 9914.12721875
transcript.pyannote[2362].speaker SPEAKER_05
transcript.pyannote[2362].start 9914.26221875
transcript.pyannote[2362].end 9919.49346875
transcript.pyannote[2363].speaker SPEAKER_05
transcript.pyannote[2363].start 9920.05034375
transcript.pyannote[2363].end 9923.56034375
transcript.pyannote[2364].speaker SPEAKER_05
transcript.pyannote[2364].start 9924.43784375
transcript.pyannote[2364].end 9927.27284375
transcript.pyannote[2365].speaker SPEAKER_05
transcript.pyannote[2365].start 9927.59346875
transcript.pyannote[2365].end 9927.89721875
transcript.pyannote[2366].speaker SPEAKER_05
transcript.pyannote[2366].start 9928.50471875
transcript.pyannote[2366].end 9932.16659375
transcript.pyannote[2367].speaker SPEAKER_22
transcript.pyannote[2367].start 9933.97221875
transcript.pyannote[2367].end 9939.43971875
transcript.pyannote[2368].speaker SPEAKER_05
transcript.pyannote[2368].start 9937.21221875
transcript.pyannote[2368].end 9942.96659375
transcript.pyannote[2369].speaker SPEAKER_05
transcript.pyannote[2369].start 9943.35471875
transcript.pyannote[2369].end 9944.63721875
transcript.pyannote[2370].speaker SPEAKER_05
transcript.pyannote[2370].start 9945.46409375
transcript.pyannote[2370].end 9948.33284375
transcript.pyannote[2371].speaker SPEAKER_05
transcript.pyannote[2371].start 9948.88971875
transcript.pyannote[2371].end 9950.77971875
transcript.pyannote[2372].speaker SPEAKER_05
transcript.pyannote[2372].start 9951.23534375
transcript.pyannote[2372].end 9956.41596875
transcript.pyannote[2373].speaker SPEAKER_05
transcript.pyannote[2373].start 9957.05721875
transcript.pyannote[2373].end 9960.95534375
transcript.pyannote[2374].speaker SPEAKER_05
transcript.pyannote[2374].start 9961.79909375
transcript.pyannote[2374].end 9962.62596875
transcript.pyannote[2375].speaker SPEAKER_22
transcript.pyannote[2375].start 9962.08596875
transcript.pyannote[2375].end 9967.78971875
transcript.pyannote[2376].speaker SPEAKER_22
transcript.pyannote[2376].start 9968.11034375
transcript.pyannote[2376].end 9969.73034375
transcript.pyannote[2377].speaker SPEAKER_22
transcript.pyannote[2377].start 9970.11846875
transcript.pyannote[2377].end 9970.92846875
transcript.pyannote[2378].speaker SPEAKER_22
transcript.pyannote[2378].start 9971.60346875
transcript.pyannote[2378].end 9976.59846875
transcript.pyannote[2379].speaker SPEAKER_22
transcript.pyannote[2379].start 9977.32409375
transcript.pyannote[2379].end 9977.99909375
transcript.pyannote[2380].speaker SPEAKER_22
transcript.pyannote[2380].start 9978.79221875
transcript.pyannote[2380].end 9980.09159375
transcript.pyannote[2381].speaker SPEAKER_22
transcript.pyannote[2381].start 9980.14221875
transcript.pyannote[2381].end 9981.66096875
transcript.pyannote[2382].speaker SPEAKER_22
transcript.pyannote[2382].start 9981.89721875
transcript.pyannote[2382].end 9982.72409375
transcript.pyannote[2383].speaker SPEAKER_22
transcript.pyannote[2383].start 9983.11221875
transcript.pyannote[2383].end 9984.58034375
transcript.pyannote[2384].speaker SPEAKER_05
transcript.pyannote[2384].start 9984.93471875
transcript.pyannote[2384].end 9985.77846875
transcript.pyannote[2385].speaker SPEAKER_05
transcript.pyannote[2385].start 9987.21284375
transcript.pyannote[2385].end 9993.00096875
transcript.pyannote[2386].speaker SPEAKER_22
transcript.pyannote[2386].start 9993.59159375
transcript.pyannote[2386].end 10003.56471875
transcript.pyannote[2387].speaker SPEAKER_22
transcript.pyannote[2387].start 10003.59846875
transcript.pyannote[2387].end 10007.91846875
transcript.pyannote[2388].speaker SPEAKER_22
transcript.pyannote[2388].start 10008.34034375
transcript.pyannote[2388].end 10010.82096875
transcript.pyannote[2389].speaker SPEAKER_22
transcript.pyannote[2389].start 10011.22596875
transcript.pyannote[2389].end 10014.60096875
transcript.pyannote[2390].speaker SPEAKER_05
transcript.pyannote[2390].start 10015.12409375
transcript.pyannote[2390].end 10019.17409375
transcript.pyannote[2391].speaker SPEAKER_22
transcript.pyannote[2391].start 10019.46096875
transcript.pyannote[2391].end 10021.92471875
transcript.pyannote[2392].speaker SPEAKER_05
transcript.pyannote[2392].start 10020.67596875
transcript.pyannote[2392].end 10024.60784375
transcript.pyannote[2393].speaker SPEAKER_05
transcript.pyannote[2393].start 10025.16471875
transcript.pyannote[2393].end 10029.02909375
transcript.pyannote[2394].speaker SPEAKER_05
transcript.pyannote[2394].start 10029.53534375
transcript.pyannote[2394].end 10036.16721875
transcript.pyannote[2395].speaker SPEAKER_22
transcript.pyannote[2395].start 10036.55534375
transcript.pyannote[2395].end 10037.11221875
transcript.pyannote[2396].speaker SPEAKER_05
transcript.pyannote[2396].start 10036.72409375
transcript.pyannote[2396].end 10039.96409375
transcript.pyannote[2397].speaker SPEAKER_05
transcript.pyannote[2397].start 10040.41971875
transcript.pyannote[2397].end 10044.45284375
transcript.pyannote[2398].speaker SPEAKER_05
transcript.pyannote[2398].start 10045.00971875
transcript.pyannote[2398].end 10047.37221875
transcript.pyannote[2399].speaker SPEAKER_22
transcript.pyannote[2399].start 10048.68846875
transcript.pyannote[2399].end 10051.03409375
transcript.pyannote[2400].speaker SPEAKER_22
transcript.pyannote[2400].start 10051.67534375
transcript.pyannote[2400].end 10054.37534375
transcript.pyannote[2401].speaker SPEAKER_05
transcript.pyannote[2401].start 10055.43846875
transcript.pyannote[2401].end 10058.22284375
transcript.pyannote[2402].speaker SPEAKER_05
transcript.pyannote[2402].start 10058.49284375
transcript.pyannote[2402].end 10060.72034375
transcript.pyannote[2403].speaker SPEAKER_05
transcript.pyannote[2403].start 10060.82159375
transcript.pyannote[2403].end 10062.47534375
transcript.pyannote[2404].speaker SPEAKER_05
transcript.pyannote[2404].start 10063.42034375
transcript.pyannote[2404].end 10063.82534375
transcript.pyannote[2405].speaker SPEAKER_05
transcript.pyannote[2405].start 10064.75346875
transcript.pyannote[2405].end 10066.57596875
transcript.pyannote[2406].speaker SPEAKER_11
transcript.pyannote[2406].start 10066.57596875
transcript.pyannote[2406].end 10068.93846875
transcript.pyannote[2407].speaker SPEAKER_05
transcript.pyannote[2407].start 10068.14534375
transcript.pyannote[2407].end 10075.62096875
transcript.pyannote[2408].speaker SPEAKER_05
transcript.pyannote[2408].start 10075.90784375
transcript.pyannote[2408].end 10076.53221875
transcript.pyannote[2409].speaker SPEAKER_05
transcript.pyannote[2409].start 10076.97096875
transcript.pyannote[2409].end 10077.71346875
transcript.pyannote[2410].speaker SPEAKER_11
transcript.pyannote[2410].start 10077.19034375
transcript.pyannote[2410].end 10078.01721875
transcript.pyannote[2411].speaker SPEAKER_05
transcript.pyannote[2411].start 10078.01721875
transcript.pyannote[2411].end 10078.15221875
transcript.pyannote[2412].speaker SPEAKER_05
transcript.pyannote[2412].start 10078.16909375
transcript.pyannote[2412].end 10078.18596875
transcript.pyannote[2413].speaker SPEAKER_05
transcript.pyannote[2413].start 10078.27034375
transcript.pyannote[2413].end 10079.38409375
transcript.pyannote[2414].speaker SPEAKER_05
transcript.pyannote[2414].start 10079.55284375
transcript.pyannote[2414].end 10082.89409375
transcript.pyannote[2415].speaker SPEAKER_05
transcript.pyannote[2415].start 10083.85596875
transcript.pyannote[2415].end 10085.29034375
transcript.pyannote[2416].speaker SPEAKER_11
transcript.pyannote[2416].start 10085.32409375
transcript.pyannote[2416].end 10089.34034375
transcript.pyannote[2417].speaker SPEAKER_05
transcript.pyannote[2417].start 10088.32784375
transcript.pyannote[2417].end 10091.02784375
transcript.pyannote[2418].speaker SPEAKER_05
transcript.pyannote[2418].start 10091.50034375
transcript.pyannote[2418].end 10091.87159375
transcript.pyannote[2419].speaker SPEAKER_05
transcript.pyannote[2419].start 10092.64784375
transcript.pyannote[2419].end 10096.27596875
transcript.pyannote[2420].speaker SPEAKER_05
transcript.pyannote[2420].start 10097.27159375
transcript.pyannote[2420].end 10100.30909375
transcript.pyannote[2421].speaker SPEAKER_05
transcript.pyannote[2421].start 10101.69284375
transcript.pyannote[2421].end 10106.60346875
transcript.pyannote[2422].speaker SPEAKER_11
transcript.pyannote[2422].start 10106.77221875
transcript.pyannote[2422].end 10108.00409375
transcript.pyannote[2423].speaker SPEAKER_05
transcript.pyannote[2423].start 10108.00409375
transcript.pyannote[2423].end 10108.52721875
transcript.pyannote[2424].speaker SPEAKER_05
transcript.pyannote[2424].start 10109.30346875
transcript.pyannote[2424].end 10113.04971875
transcript.pyannote[2425].speaker SPEAKER_05
transcript.pyannote[2425].start 10113.75846875
transcript.pyannote[2425].end 10117.20096875
transcript.pyannote[2426].speaker SPEAKER_05
transcript.pyannote[2426].start 10118.06159375
transcript.pyannote[2426].end 10121.06534375
transcript.pyannote[2427].speaker SPEAKER_05
transcript.pyannote[2427].start 10121.80784375
transcript.pyannote[2427].end 10131.27471875
transcript.pyannote[2428].speaker SPEAKER_05
transcript.pyannote[2428].start 10131.54471875
transcript.pyannote[2428].end 10132.59096875
transcript.pyannote[2429].speaker SPEAKER_05
transcript.pyannote[2429].start 10132.96221875
transcript.pyannote[2429].end 10134.09284375
transcript.pyannote[2430].speaker SPEAKER_05
transcript.pyannote[2430].start 10134.54846875
transcript.pyannote[2430].end 10135.91534375
transcript.pyannote[2431].speaker SPEAKER_05
transcript.pyannote[2431].start 10136.50596875
transcript.pyannote[2431].end 10139.10471875
transcript.pyannote[2432].speaker SPEAKER_05
transcript.pyannote[2432].start 10139.45909375
transcript.pyannote[2432].end 10141.46721875
transcript.pyannote[2433].speaker SPEAKER_05
transcript.pyannote[2433].start 10141.93971875
transcript.pyannote[2433].end 10145.02784375
transcript.pyannote[2434].speaker SPEAKER_05
transcript.pyannote[2434].start 10145.53409375
transcript.pyannote[2434].end 10149.39846875
transcript.pyannote[2435].speaker SPEAKER_05
transcript.pyannote[2435].start 10149.58409375
transcript.pyannote[2435].end 10150.88346875
transcript.pyannote[2436].speaker SPEAKER_05
transcript.pyannote[2436].start 10151.32221875
transcript.pyannote[2436].end 10152.30096875
transcript.pyannote[2437].speaker SPEAKER_05
transcript.pyannote[2437].start 10152.68909375
transcript.pyannote[2437].end 10156.55346875
transcript.pyannote[2438].speaker SPEAKER_13
transcript.pyannote[2438].start 10156.85721875
transcript.pyannote[2438].end 10161.91971875
transcript.pyannote[2439].speaker SPEAKER_13
transcript.pyannote[2439].start 10162.12221875
transcript.pyannote[2439].end 10166.29034375
transcript.pyannote[2440].speaker SPEAKER_13
transcript.pyannote[2440].start 10166.62784375
transcript.pyannote[2440].end 10169.47971875
transcript.pyannote[2441].speaker SPEAKER_13
transcript.pyannote[2441].start 10169.80034375
transcript.pyannote[2441].end 10173.66471875
transcript.pyannote[2442].speaker SPEAKER_00
transcript.pyannote[2442].start 10170.50909375
transcript.pyannote[2442].end 10171.18409375
transcript.pyannote[2443].speaker SPEAKER_00
transcript.pyannote[2443].start 10172.19659375
transcript.pyannote[2443].end 10172.38221875
transcript.pyannote[2444].speaker SPEAKER_13
transcript.pyannote[2444].start 10173.90096875
transcript.pyannote[2444].end 10179.40221875
transcript.pyannote[2445].speaker SPEAKER_13
transcript.pyannote[2445].start 10179.65534375
transcript.pyannote[2445].end 10180.95471875
transcript.pyannote[2446].speaker SPEAKER_13
transcript.pyannote[2446].start 10181.62971875
transcript.pyannote[2446].end 10186.03409375
transcript.pyannote[2447].speaker SPEAKER_13
transcript.pyannote[2447].start 10186.28721875
transcript.pyannote[2447].end 10188.39659375
transcript.pyannote[2448].speaker SPEAKER_13
transcript.pyannote[2448].start 10188.73409375
transcript.pyannote[2448].end 10193.52659375
transcript.pyannote[2449].speaker SPEAKER_13
transcript.pyannote[2449].start 10193.83034375
transcript.pyannote[2449].end 10198.31909375
transcript.pyannote[2450].speaker SPEAKER_13
transcript.pyannote[2450].start 10198.67346875
transcript.pyannote[2450].end 10204.05659375
transcript.pyannote[2451].speaker SPEAKER_13
transcript.pyannote[2451].start 10204.39409375
transcript.pyannote[2451].end 10205.87909375
transcript.pyannote[2452].speaker SPEAKER_13
transcript.pyannote[2452].start 10206.19971875
transcript.pyannote[2452].end 10210.78971875
transcript.pyannote[2453].speaker SPEAKER_13
transcript.pyannote[2453].start 10211.05971875
transcript.pyannote[2453].end 10213.57409375
transcript.pyannote[2454].speaker SPEAKER_13
transcript.pyannote[2454].start 10213.82721875
transcript.pyannote[2454].end 10217.87721875
transcript.pyannote[2455].speaker SPEAKER_05
transcript.pyannote[2455].start 10218.68721875
transcript.pyannote[2455].end 10227.05721875
transcript.pyannote[2456].speaker SPEAKER_13
transcript.pyannote[2456].start 10221.72471875
transcript.pyannote[2456].end 10222.07909375
transcript.pyannote[2457].speaker SPEAKER_13
transcript.pyannote[2457].start 10227.05721875
transcript.pyannote[2457].end 10227.44534375
transcript.pyannote[2458].speaker SPEAKER_05
transcript.pyannote[2458].start 10227.44534375
transcript.pyannote[2458].end 10227.47909375
transcript.pyannote[2459].speaker SPEAKER_05
transcript.pyannote[2459].start 10227.68159375
transcript.pyannote[2459].end 10233.21659375
transcript.pyannote[2460].speaker SPEAKER_13
transcript.pyannote[2460].start 10231.91721875
transcript.pyannote[2460].end 10238.16096875
transcript.pyannote[2461].speaker SPEAKER_13
transcript.pyannote[2461].start 10238.22846875
transcript.pyannote[2461].end 10239.91596875
transcript.pyannote[2462].speaker SPEAKER_05
transcript.pyannote[2462].start 10238.46471875
transcript.pyannote[2462].end 10238.54909375
transcript.pyannote[2463].speaker SPEAKER_00
transcript.pyannote[2463].start 10238.54909375
transcript.pyannote[2463].end 10238.58284375
transcript.pyannote[2464].speaker SPEAKER_13
transcript.pyannote[2464].start 10240.13534375
transcript.pyannote[2464].end 10241.60346875
transcript.pyannote[2465].speaker SPEAKER_13
transcript.pyannote[2465].start 10241.62034375
transcript.pyannote[2465].end 10246.00784375
transcript.pyannote[2466].speaker SPEAKER_00
transcript.pyannote[2466].start 10244.25284375
transcript.pyannote[2466].end 10244.57346875
transcript.pyannote[2467].speaker SPEAKER_13
transcript.pyannote[2467].start 10246.10909375
transcript.pyannote[2467].end 10254.32721875
transcript.pyannote[2468].speaker SPEAKER_05
transcript.pyannote[2468].start 10252.94346875
transcript.pyannote[2468].end 10254.34409375
transcript.pyannote[2469].speaker SPEAKER_13
transcript.pyannote[2469].start 10254.34409375
transcript.pyannote[2469].end 10258.61346875
transcript.pyannote[2470].speaker SPEAKER_05
transcript.pyannote[2470].start 10255.06971875
transcript.pyannote[2470].end 10255.62659375
transcript.pyannote[2471].speaker SPEAKER_05
transcript.pyannote[2471].start 10258.56284375
transcript.pyannote[2471].end 10263.03471875
transcript.pyannote[2472].speaker SPEAKER_13
transcript.pyannote[2472].start 10258.66409375
transcript.pyannote[2472].end 10258.68096875
transcript.pyannote[2473].speaker SPEAKER_13
transcript.pyannote[2473].start 10258.76534375
transcript.pyannote[2473].end 10259.13659375
transcript.pyannote[2474].speaker SPEAKER_05
transcript.pyannote[2474].start 10263.77721875
transcript.pyannote[2474].end 10269.54846875
transcript.pyannote[2475].speaker SPEAKER_05
transcript.pyannote[2475].start 10270.08846875
transcript.pyannote[2475].end 10271.30346875
transcript.pyannote[2476].speaker SPEAKER_05
transcript.pyannote[2476].start 10271.82659375
transcript.pyannote[2476].end 10274.23971875
transcript.pyannote[2477].speaker SPEAKER_05
transcript.pyannote[2477].start 10274.30721875
transcript.pyannote[2477].end 10275.85971875
transcript.pyannote[2478].speaker SPEAKER_05
transcript.pyannote[2478].start 10276.19721875
transcript.pyannote[2478].end 10276.63596875
transcript.pyannote[2479].speaker SPEAKER_05
transcript.pyannote[2479].start 10277.19284375
transcript.pyannote[2479].end 10280.12909375
transcript.pyannote[2480].speaker SPEAKER_05
transcript.pyannote[2480].start 10280.34846875
transcript.pyannote[2480].end 10286.91284375
transcript.pyannote[2481].speaker SPEAKER_05
transcript.pyannote[2481].start 10287.21659375
transcript.pyannote[2481].end 10288.51596875
transcript.pyannote[2482].speaker SPEAKER_05
transcript.pyannote[2482].start 10288.83659375
transcript.pyannote[2482].end 10290.99659375
transcript.pyannote[2483].speaker SPEAKER_05
transcript.pyannote[2483].start 10291.01346875
transcript.pyannote[2483].end 10291.03034375
transcript.pyannote[2484].speaker SPEAKER_05
transcript.pyannote[2484].start 10291.06409375
transcript.pyannote[2484].end 10294.52346875
transcript.pyannote[2485].speaker SPEAKER_05
transcript.pyannote[2485].start 10295.02971875
transcript.pyannote[2485].end 10297.03784375
transcript.pyannote[2486].speaker SPEAKER_05
transcript.pyannote[2486].start 10297.37534375
transcript.pyannote[2486].end 10298.18534375
transcript.pyannote[2487].speaker SPEAKER_05
transcript.pyannote[2487].start 10298.89409375
transcript.pyannote[2487].end 10300.19346875
transcript.pyannote[2488].speaker SPEAKER_05
transcript.pyannote[2488].start 10300.61534375
transcript.pyannote[2488].end 10301.20596875
transcript.pyannote[2489].speaker SPEAKER_05
transcript.pyannote[2489].start 10301.49284375
transcript.pyannote[2489].end 10303.38284375
transcript.pyannote[2490].speaker SPEAKER_05
transcript.pyannote[2490].start 10303.39971875
transcript.pyannote[2490].end 10305.45846875
transcript.pyannote[2491].speaker SPEAKER_05
transcript.pyannote[2491].start 10305.94784375
transcript.pyannote[2491].end 10309.06971875
transcript.pyannote[2492].speaker SPEAKER_15
transcript.pyannote[2492].start 10305.96471875
transcript.pyannote[2492].end 10306.45409375
transcript.pyannote[2493].speaker SPEAKER_05
transcript.pyannote[2493].start 10309.37346875
transcript.pyannote[2493].end 10310.62221875
transcript.pyannote[2494].speaker SPEAKER_05
transcript.pyannote[2494].start 10311.14534375
transcript.pyannote[2494].end 10316.24159375
transcript.pyannote[2495].speaker SPEAKER_05
transcript.pyannote[2495].start 10316.81534375
transcript.pyannote[2495].end 10317.30471875
transcript.pyannote[2496].speaker SPEAKER_05
transcript.pyannote[2496].start 10317.70971875
transcript.pyannote[2496].end 10317.72659375
transcript.pyannote[2497].speaker SPEAKER_14
transcript.pyannote[2497].start 10317.72659375
transcript.pyannote[2497].end 10317.76034375
transcript.pyannote[2498].speaker SPEAKER_05
transcript.pyannote[2498].start 10317.76034375
transcript.pyannote[2498].end 10317.96284375
transcript.pyannote[2499].speaker SPEAKER_14
transcript.pyannote[2499].start 10317.96284375
transcript.pyannote[2499].end 10318.01346875
transcript.pyannote[2500].speaker SPEAKER_05
transcript.pyannote[2500].start 10318.01346875
transcript.pyannote[2500].end 10318.03034375
transcript.pyannote[2501].speaker SPEAKER_14
transcript.pyannote[2501].start 10318.03034375
transcript.pyannote[2501].end 10318.09784375
transcript.pyannote[2502].speaker SPEAKER_14
transcript.pyannote[2502].start 10318.28346875
transcript.pyannote[2502].end 10319.43096875
transcript.pyannote[2503].speaker SPEAKER_14
transcript.pyannote[2503].start 10319.75159375
transcript.pyannote[2503].end 10322.26596875
transcript.pyannote[2504].speaker SPEAKER_14
transcript.pyannote[2504].start 10322.62034375
transcript.pyannote[2504].end 10324.37534375
transcript.pyannote[2505].speaker SPEAKER_14
transcript.pyannote[2505].start 10324.78034375
transcript.pyannote[2505].end 10334.11221875
transcript.pyannote[2506].speaker SPEAKER_00
transcript.pyannote[2506].start 10325.20221875
transcript.pyannote[2506].end 10325.75909375
transcript.pyannote[2507].speaker SPEAKER_14
transcript.pyannote[2507].start 10334.46659375
transcript.pyannote[2507].end 10335.61409375
transcript.pyannote[2508].speaker SPEAKER_14
transcript.pyannote[2508].start 10335.95159375
transcript.pyannote[2508].end 10341.45284375
transcript.pyannote[2509].speaker SPEAKER_11
transcript.pyannote[2509].start 10373.12721875
transcript.pyannote[2509].end 10377.34596875
transcript.pyannote[2510].speaker SPEAKER_11
transcript.pyannote[2510].start 10378.12221875
transcript.pyannote[2510].end 10380.58596875
transcript.pyannote[2511].speaker SPEAKER_11
transcript.pyannote[2511].start 10380.88971875
transcript.pyannote[2511].end 10385.05784375
transcript.pyannote[2512].speaker SPEAKER_11
transcript.pyannote[2512].start 11024.36721875
transcript.pyannote[2512].end 11030.93159375
transcript.pyannote[2513].speaker SPEAKER_18
transcript.pyannote[2513].start 11036.50034375
transcript.pyannote[2513].end 11038.08659375
transcript.pyannote[2514].speaker SPEAKER_18
transcript.pyannote[2514].start 11038.39034375
transcript.pyannote[2514].end 11039.52096875
transcript.pyannote[2515].speaker SPEAKER_18
transcript.pyannote[2515].start 11039.84159375
transcript.pyannote[2515].end 11046.33846875
transcript.pyannote[2516].speaker SPEAKER_11
transcript.pyannote[2516].start 11046.74346875
transcript.pyannote[2516].end 11048.46471875
transcript.pyannote[2517].speaker SPEAKER_22
transcript.pyannote[2517].start 11058.42096875
transcript.pyannote[2517].end 11058.99471875
transcript.pyannote[2518].speaker SPEAKER_18
transcript.pyannote[2518].start 11059.07909375
transcript.pyannote[2518].end 11059.65284375
transcript.pyannote[2519].speaker SPEAKER_18
transcript.pyannote[2519].start 11060.29409375
transcript.pyannote[2519].end 11062.47096875
transcript.pyannote[2520].speaker SPEAKER_18
transcript.pyannote[2520].start 11062.75784375
transcript.pyannote[2520].end 11064.22596875
transcript.pyannote[2521].speaker SPEAKER_18
transcript.pyannote[2521].start 11064.96846875
transcript.pyannote[2521].end 11067.04409375
transcript.pyannote[2522].speaker SPEAKER_18
transcript.pyannote[2522].start 11067.46596875
transcript.pyannote[2522].end 11069.74409375
transcript.pyannote[2523].speaker SPEAKER_18
transcript.pyannote[2523].start 11070.18284375
transcript.pyannote[2523].end 11072.44409375
transcript.pyannote[2524].speaker SPEAKER_18
transcript.pyannote[2524].start 11072.95034375
transcript.pyannote[2524].end 11074.62096875
transcript.pyannote[2525].speaker SPEAKER_18
transcript.pyannote[2525].start 11075.14409375
transcript.pyannote[2525].end 11081.26971875
transcript.pyannote[2526].speaker SPEAKER_18
transcript.pyannote[2526].start 11082.01221875
transcript.pyannote[2526].end 11086.36596875
transcript.pyannote[2527].speaker SPEAKER_18
transcript.pyannote[2527].start 11086.45034375
transcript.pyannote[2527].end 11118.61409375
transcript.pyannote[2528].speaker SPEAKER_18
transcript.pyannote[2528].start 11119.06971875
transcript.pyannote[2528].end 11124.65534375
transcript.pyannote[2529].speaker SPEAKER_18
transcript.pyannote[2529].start 11125.26284375
transcript.pyannote[2529].end 11127.52409375
transcript.pyannote[2530].speaker SPEAKER_18
transcript.pyannote[2530].start 11127.65909375
transcript.pyannote[2530].end 11129.34659375
transcript.pyannote[2531].speaker SPEAKER_18
transcript.pyannote[2531].start 11130.02159375
transcript.pyannote[2531].end 11132.62034375
transcript.pyannote[2532].speaker SPEAKER_18
transcript.pyannote[2532].start 11133.07596875
transcript.pyannote[2532].end 11135.91096875
transcript.pyannote[2533].speaker SPEAKER_18
transcript.pyannote[2533].start 11136.16409375
transcript.pyannote[2533].end 11137.26096875
transcript.pyannote[2534].speaker SPEAKER_18
transcript.pyannote[2534].start 11137.81784375
transcript.pyannote[2534].end 11143.82534375
transcript.pyannote[2535].speaker SPEAKER_22
transcript.pyannote[2535].start 11144.29784375
transcript.pyannote[2535].end 11150.79471875
transcript.pyannote[2536].speaker SPEAKER_18
transcript.pyannote[2536].start 11147.25096875
transcript.pyannote[2536].end 11147.28471875
transcript.pyannote[2537].speaker SPEAKER_18
transcript.pyannote[2537].start 11148.82034375
transcript.pyannote[2537].end 11152.78596875
transcript.pyannote[2538].speaker SPEAKER_22
transcript.pyannote[2538].start 11151.87471875
transcript.pyannote[2538].end 11153.62971875
transcript.pyannote[2539].speaker SPEAKER_18
transcript.pyannote[2539].start 11153.62971875
transcript.pyannote[2539].end 11158.01721875
transcript.pyannote[2540].speaker SPEAKER_22
transcript.pyannote[2540].start 11156.43096875
transcript.pyannote[2540].end 11160.64971875
transcript.pyannote[2541].speaker SPEAKER_22
transcript.pyannote[2541].start 11161.51034375
transcript.pyannote[2541].end 11166.94409375
transcript.pyannote[2542].speaker SPEAKER_18
transcript.pyannote[2542].start 11162.75909375
transcript.pyannote[2542].end 11164.36221875
transcript.pyannote[2543].speaker SPEAKER_18
transcript.pyannote[2543].start 11165.69534375
transcript.pyannote[2543].end 11168.14221875
transcript.pyannote[2544].speaker SPEAKER_22
transcript.pyannote[2544].start 11167.78784375
transcript.pyannote[2544].end 11170.04909375
transcript.pyannote[2545].speaker SPEAKER_22
transcript.pyannote[2545].start 11170.43721875
transcript.pyannote[2545].end 11173.44096875
transcript.pyannote[2546].speaker SPEAKER_22
transcript.pyannote[2546].start 11173.54221875
transcript.pyannote[2546].end 11174.77409375
transcript.pyannote[2547].speaker SPEAKER_22
transcript.pyannote[2547].start 11175.07784375
transcript.pyannote[2547].end 11177.11971875
transcript.pyannote[2548].speaker SPEAKER_22
transcript.pyannote[2548].start 11177.60909375
transcript.pyannote[2548].end 11180.76471875
transcript.pyannote[2549].speaker SPEAKER_22
transcript.pyannote[2549].start 11180.95034375
transcript.pyannote[2549].end 11182.08096875
transcript.pyannote[2550].speaker SPEAKER_22
transcript.pyannote[2550].start 11182.38471875
transcript.pyannote[2550].end 11184.76409375
transcript.pyannote[2551].speaker SPEAKER_22
transcript.pyannote[2551].start 11185.32096875
transcript.pyannote[2551].end 11187.29534375
transcript.pyannote[2552].speaker SPEAKER_22
transcript.pyannote[2552].start 11187.51471875
transcript.pyannote[2552].end 11188.81409375
transcript.pyannote[2553].speaker SPEAKER_22
transcript.pyannote[2553].start 11189.10096875
transcript.pyannote[2553].end 11191.12596875
transcript.pyannote[2554].speaker SPEAKER_22
transcript.pyannote[2554].start 11191.37909375
transcript.pyannote[2554].end 11196.15471875
transcript.pyannote[2555].speaker SPEAKER_14
transcript.pyannote[2555].start 11196.27284375
transcript.pyannote[2555].end 11203.59659375
transcript.pyannote[2556].speaker SPEAKER_22
transcript.pyannote[2556].start 11198.65221875
transcript.pyannote[2556].end 11199.42846875
transcript.pyannote[2557].speaker SPEAKER_18
transcript.pyannote[2557].start 11199.42846875
transcript.pyannote[2557].end 11199.46221875
transcript.pyannote[2558].speaker SPEAKER_22
transcript.pyannote[2558].start 11199.46221875
transcript.pyannote[2558].end 11199.49596875
transcript.pyannote[2559].speaker SPEAKER_18
transcript.pyannote[2559].start 11199.49596875
transcript.pyannote[2559].end 11199.51284375
transcript.pyannote[2560].speaker SPEAKER_18
transcript.pyannote[2560].start 11204.64284375
transcript.pyannote[2560].end 11205.99284375
transcript.pyannote[2561].speaker SPEAKER_14
transcript.pyannote[2561].start 11205.95909375
transcript.pyannote[2561].end 11205.97596875
transcript.pyannote[2562].speaker SPEAKER_14
transcript.pyannote[2562].start 11205.99284375
transcript.pyannote[2562].end 11206.43159375
transcript.pyannote[2563].speaker SPEAKER_18
transcript.pyannote[2563].start 11206.43159375
transcript.pyannote[2563].end 11209.03034375
transcript.pyannote[2564].speaker SPEAKER_18
transcript.pyannote[2564].start 11209.57034375
transcript.pyannote[2564].end 11210.95409375
transcript.pyannote[2565].speaker SPEAKER_18
transcript.pyannote[2565].start 11212.18596875
transcript.pyannote[2565].end 11212.91159375
transcript.pyannote[2566].speaker SPEAKER_18
transcript.pyannote[2566].start 11213.23221875
transcript.pyannote[2566].end 11214.51471875
transcript.pyannote[2567].speaker SPEAKER_18
transcript.pyannote[2567].start 11214.98721875
transcript.pyannote[2567].end 11228.45346875
transcript.pyannote[2568].speaker SPEAKER_18
transcript.pyannote[2568].start 11228.90909375
transcript.pyannote[2568].end 11230.57971875
transcript.pyannote[2569].speaker SPEAKER_18
transcript.pyannote[2569].start 11231.17034375
transcript.pyannote[2569].end 11233.78596875
transcript.pyannote[2570].speaker SPEAKER_18
transcript.pyannote[2570].start 11234.14034375
transcript.pyannote[2570].end 11234.88284375
transcript.pyannote[2571].speaker SPEAKER_18
transcript.pyannote[2571].start 11235.13596875
transcript.pyannote[2571].end 11238.94971875
transcript.pyannote[2572].speaker SPEAKER_22
transcript.pyannote[2572].start 11240.14784375
transcript.pyannote[2572].end 11242.07159375
transcript.pyannote[2573].speaker SPEAKER_18
transcript.pyannote[2573].start 11241.22784375
transcript.pyannote[2573].end 11245.27784375
transcript.pyannote[2574].speaker SPEAKER_18
transcript.pyannote[2574].start 11245.48034375
transcript.pyannote[2574].end 11248.53471875
transcript.pyannote[2575].speaker SPEAKER_22
transcript.pyannote[2575].start 11249.04096875
transcript.pyannote[2575].end 11253.44534375
transcript.pyannote[2576].speaker SPEAKER_22
transcript.pyannote[2576].start 11253.90096875
transcript.pyannote[2576].end 11255.67284375
transcript.pyannote[2577].speaker SPEAKER_18
transcript.pyannote[2577].start 11255.52096875
transcript.pyannote[2577].end 11257.12409375
transcript.pyannote[2578].speaker SPEAKER_22
transcript.pyannote[2578].start 11255.68971875
transcript.pyannote[2578].end 11261.05596875
transcript.pyannote[2579].speaker SPEAKER_18
transcript.pyannote[2579].start 11260.19534375
transcript.pyannote[2579].end 11261.98409375
transcript.pyannote[2580].speaker SPEAKER_18
transcript.pyannote[2580].start 11262.32159375
transcript.pyannote[2580].end 11266.97909375
transcript.pyannote[2581].speaker SPEAKER_18
transcript.pyannote[2581].start 11267.56971875
transcript.pyannote[2581].end 11274.92721875
transcript.pyannote[2582].speaker SPEAKER_18
transcript.pyannote[2582].start 11275.12971875
transcript.pyannote[2582].end 11277.35721875
transcript.pyannote[2583].speaker SPEAKER_18
transcript.pyannote[2583].start 11277.72846875
transcript.pyannote[2583].end 11283.29721875
transcript.pyannote[2584].speaker SPEAKER_22
transcript.pyannote[2584].start 11283.98909375
transcript.pyannote[2584].end 11291.68409375
transcript.pyannote[2585].speaker SPEAKER_22
transcript.pyannote[2585].start 11292.07221875
transcript.pyannote[2585].end 11294.48534375
transcript.pyannote[2586].speaker SPEAKER_22
transcript.pyannote[2586].start 11294.70471875
transcript.pyannote[2586].end 11296.42596875
transcript.pyannote[2587].speaker SPEAKER_22
transcript.pyannote[2587].start 11296.47659375
transcript.pyannote[2587].end 11299.10909375
transcript.pyannote[2588].speaker SPEAKER_22
transcript.pyannote[2588].start 11299.27784375
transcript.pyannote[2588].end 11300.64471875
transcript.pyannote[2589].speaker SPEAKER_22
transcript.pyannote[2589].start 11300.96534375
transcript.pyannote[2589].end 11303.20971875
transcript.pyannote[2590].speaker SPEAKER_22
transcript.pyannote[2590].start 11303.66534375
transcript.pyannote[2590].end 11306.12909375
transcript.pyannote[2591].speaker SPEAKER_22
transcript.pyannote[2591].start 11306.48346875
transcript.pyannote[2591].end 11307.78284375
transcript.pyannote[2592].speaker SPEAKER_22
transcript.pyannote[2592].start 11308.00221875
transcript.pyannote[2592].end 11309.58846875
transcript.pyannote[2593].speaker SPEAKER_22
transcript.pyannote[2593].start 11310.16221875
transcript.pyannote[2593].end 11311.15784375
transcript.pyannote[2594].speaker SPEAKER_22
transcript.pyannote[2594].start 11311.46159375
transcript.pyannote[2594].end 11313.57096875
transcript.pyannote[2595].speaker SPEAKER_22
transcript.pyannote[2595].start 11314.04346875
transcript.pyannote[2595].end 11315.30909375
transcript.pyannote[2596].speaker SPEAKER_22
transcript.pyannote[2596].start 11316.72659375
transcript.pyannote[2596].end 11320.65846875
transcript.pyannote[2597].speaker SPEAKER_22
transcript.pyannote[2597].start 11320.82721875
transcript.pyannote[2597].end 11323.27409375
transcript.pyannote[2598].speaker SPEAKER_22
transcript.pyannote[2598].start 11323.83096875
transcript.pyannote[2598].end 11327.77971875
transcript.pyannote[2599].speaker SPEAKER_14
transcript.pyannote[2599].start 11328.15096875
transcript.pyannote[2599].end 11336.16659375
transcript.pyannote[2600].speaker SPEAKER_14
transcript.pyannote[2600].start 11336.33534375
transcript.pyannote[2600].end 11337.68534375
transcript.pyannote[2601].speaker SPEAKER_18
transcript.pyannote[2601].start 11336.99346875
transcript.pyannote[2601].end 11340.90846875
transcript.pyannote[2602].speaker SPEAKER_14
transcript.pyannote[2602].start 11338.68096875
transcript.pyannote[2602].end 11345.80221875
transcript.pyannote[2603].speaker SPEAKER_14
transcript.pyannote[2603].start 11345.93721875
transcript.pyannote[2603].end 11352.11346875
transcript.pyannote[2604].speaker SPEAKER_14
transcript.pyannote[2604].start 11352.55221875
transcript.pyannote[2604].end 11362.87971875
transcript.pyannote[2605].speaker SPEAKER_18
transcript.pyannote[2605].start 11363.45346875
transcript.pyannote[2605].end 11396.44409375
transcript.pyannote[2606].speaker SPEAKER_14
transcript.pyannote[2606].start 11397.10221875
transcript.pyannote[2606].end 11401.23659375
transcript.pyannote[2607].speaker SPEAKER_18
transcript.pyannote[2607].start 11401.23659375
transcript.pyannote[2607].end 11435.50971875
transcript.pyannote[2608].speaker SPEAKER_14
transcript.pyannote[2608].start 11401.25346875
transcript.pyannote[2608].end 11401.84409375
transcript.pyannote[2609].speaker SPEAKER_00
transcript.pyannote[2609].start 11425.14846875
transcript.pyannote[2609].end 11425.23284375
transcript.pyannote[2610].speaker SPEAKER_15
transcript.pyannote[2610].start 11425.23284375
transcript.pyannote[2610].end 11425.30034375
transcript.pyannote[2611].speaker SPEAKER_00
transcript.pyannote[2611].start 11425.30034375
transcript.pyannote[2611].end 11425.65471875
transcript.pyannote[2612].speaker SPEAKER_18
transcript.pyannote[2612].start 11436.25221875
transcript.pyannote[2612].end 11444.26784375
transcript.pyannote[2613].speaker SPEAKER_22
transcript.pyannote[2613].start 11444.65596875
transcript.pyannote[2613].end 11448.50346875
transcript.pyannote[2614].speaker SPEAKER_22
transcript.pyannote[2614].start 11448.97596875
transcript.pyannote[2614].end 11451.23721875
transcript.pyannote[2615].speaker SPEAKER_22
transcript.pyannote[2615].start 11452.11471875
transcript.pyannote[2615].end 11454.47721875
transcript.pyannote[2616].speaker SPEAKER_22
transcript.pyannote[2616].start 11454.76409375
transcript.pyannote[2616].end 11456.83971875
transcript.pyannote[2617].speaker SPEAKER_22
transcript.pyannote[2617].start 11457.46409375
transcript.pyannote[2617].end 11460.58596875
transcript.pyannote[2618].speaker SPEAKER_18
transcript.pyannote[2618].start 11459.38784375
transcript.pyannote[2618].end 11459.42159375
transcript.pyannote[2619].speaker SPEAKER_07
transcript.pyannote[2619].start 11459.42159375
transcript.pyannote[2619].end 11459.45534375
transcript.pyannote[2620].speaker SPEAKER_18
transcript.pyannote[2620].start 11459.45534375
transcript.pyannote[2620].end 11460.53534375
transcript.pyannote[2621].speaker SPEAKER_18
transcript.pyannote[2621].start 11460.58596875
transcript.pyannote[2621].end 11460.65346875
transcript.pyannote[2622].speaker SPEAKER_22
transcript.pyannote[2622].start 11460.65346875
transcript.pyannote[2622].end 11463.64034375
transcript.pyannote[2623].speaker SPEAKER_18
transcript.pyannote[2623].start 11460.77159375
transcript.pyannote[2623].end 11461.58159375
transcript.pyannote[2624].speaker SPEAKER_07
transcript.pyannote[2624].start 11461.58159375
transcript.pyannote[2624].end 11461.68284375
transcript.pyannote[2625].speaker SPEAKER_22
transcript.pyannote[2625].start 11463.82596875
transcript.pyannote[2625].end 11464.53471875
transcript.pyannote[2626].speaker SPEAKER_22
transcript.pyannote[2626].start 11465.02409375
transcript.pyannote[2626].end 11467.20096875
transcript.pyannote[2627].speaker SPEAKER_22
transcript.pyannote[2627].start 11467.53846875
transcript.pyannote[2627].end 11469.73221875
transcript.pyannote[2628].speaker SPEAKER_22
transcript.pyannote[2628].start 11470.22159375
transcript.pyannote[2628].end 11472.61784375
transcript.pyannote[2629].speaker SPEAKER_22
transcript.pyannote[2629].start 11473.02284375
transcript.pyannote[2629].end 11476.78596875
transcript.pyannote[2630].speaker SPEAKER_22
transcript.pyannote[2630].start 11477.10659375
transcript.pyannote[2630].end 11479.16534375
transcript.pyannote[2631].speaker SPEAKER_18
transcript.pyannote[2631].start 11479.21596875
transcript.pyannote[2631].end 11479.46909375
transcript.pyannote[2632].speaker SPEAKER_18
transcript.pyannote[2632].start 11479.82346875
transcript.pyannote[2632].end 11481.61221875
transcript.pyannote[2633].speaker SPEAKER_18
transcript.pyannote[2633].start 11481.62909375
transcript.pyannote[2633].end 11483.53596875
transcript.pyannote[2634].speaker SPEAKER_18
transcript.pyannote[2634].start 11483.94096875
transcript.pyannote[2634].end 11485.15596875
transcript.pyannote[2635].speaker SPEAKER_18
transcript.pyannote[2635].start 11485.89846875
transcript.pyannote[2635].end 11494.04909375
transcript.pyannote[2636].speaker SPEAKER_18
transcript.pyannote[2636].start 11494.13346875
transcript.pyannote[2636].end 11496.05721875
transcript.pyannote[2637].speaker SPEAKER_14
transcript.pyannote[2637].start 11496.59721875
transcript.pyannote[2637].end 11505.03471875
transcript.pyannote[2638].speaker SPEAKER_22
transcript.pyannote[2638].start 11497.12034375
transcript.pyannote[2638].end 11497.45784375
transcript.pyannote[2639].speaker SPEAKER_18
transcript.pyannote[2639].start 11498.97659375
transcript.pyannote[2639].end 11499.92159375
transcript.pyannote[2640].speaker SPEAKER_18
transcript.pyannote[2640].start 11502.63846875
transcript.pyannote[2640].end 11502.84096875
transcript.pyannote[2641].speaker SPEAKER_22
transcript.pyannote[2641].start 11504.14034375
transcript.pyannote[2641].end 11511.51471875
transcript.pyannote[2642].speaker SPEAKER_18
transcript.pyannote[2642].start 11505.03471875
transcript.pyannote[2642].end 11506.92471875
transcript.pyannote[2643].speaker SPEAKER_18
transcript.pyannote[2643].start 11510.50221875
transcript.pyannote[2643].end 11515.51409375
transcript.pyannote[2644].speaker SPEAKER_22
transcript.pyannote[2644].start 11514.02909375
transcript.pyannote[2644].end 11514.36659375
transcript.pyannote[2645].speaker SPEAKER_18
transcript.pyannote[2645].start 11515.73346875
transcript.pyannote[2645].end 11519.61471875
transcript.pyannote[2646].speaker SPEAKER_22
transcript.pyannote[2646].start 11519.27721875
transcript.pyannote[2646].end 11520.64409375
transcript.pyannote[2647].speaker SPEAKER_18
transcript.pyannote[2647].start 11520.15471875
transcript.pyannote[2647].end 11520.88034375
transcript.pyannote[2648].speaker SPEAKER_14
transcript.pyannote[2648].start 11520.64409375
transcript.pyannote[2648].end 11523.74909375
transcript.pyannote[2649].speaker SPEAKER_18
transcript.pyannote[2649].start 11521.65659375
transcript.pyannote[2649].end 11524.12034375
transcript.pyannote[2650].speaker SPEAKER_14
transcript.pyannote[2650].start 11524.74471875
transcript.pyannote[2650].end 11530.53284375
transcript.pyannote[2651].speaker SPEAKER_14
transcript.pyannote[2651].start 11530.88721875
transcript.pyannote[2651].end 11532.06846875
transcript.pyannote[2652].speaker SPEAKER_18
transcript.pyannote[2652].start 11531.17409375
transcript.pyannote[2652].end 11531.71409375
transcript.pyannote[2653].speaker SPEAKER_18
transcript.pyannote[2653].start 11532.18659375
transcript.pyannote[2653].end 11536.82721875
transcript.pyannote[2654].speaker SPEAKER_14
transcript.pyannote[2654].start 11534.00909375
transcript.pyannote[2654].end 11534.75159375
transcript.pyannote[2655].speaker SPEAKER_14
transcript.pyannote[2655].start 11537.13096875
transcript.pyannote[2655].end 11539.08846875
transcript.pyannote[2656].speaker SPEAKER_18
transcript.pyannote[2656].start 11538.44721875
transcript.pyannote[2656].end 11545.72034375
transcript.pyannote[2657].speaker SPEAKER_15
transcript.pyannote[2657].start 11539.08846875
transcript.pyannote[2657].end 11539.12221875
transcript.pyannote[2658].speaker SPEAKER_14
transcript.pyannote[2658].start 11539.12221875
transcript.pyannote[2658].end 11539.15596875
transcript.pyannote[2659].speaker SPEAKER_14
transcript.pyannote[2659].start 11546.10846875
transcript.pyannote[2659].end 11556.73971875
transcript.pyannote[2660].speaker SPEAKER_18
transcript.pyannote[2660].start 11555.60909375
transcript.pyannote[2660].end 11561.65034375
transcript.pyannote[2661].speaker SPEAKER_18
transcript.pyannote[2661].start 11561.97096875
transcript.pyannote[2661].end 11570.25659375
transcript.pyannote[2662].speaker SPEAKER_22
transcript.pyannote[2662].start 11571.48846875
transcript.pyannote[2662].end 11575.11659375
transcript.pyannote[2663].speaker SPEAKER_18
transcript.pyannote[2663].start 11571.60659375
transcript.pyannote[2663].end 11571.85971875
transcript.pyannote[2664].speaker SPEAKER_22
transcript.pyannote[2664].start 11575.52159375
transcript.pyannote[2664].end 11575.87596875
transcript.pyannote[2665].speaker SPEAKER_22
transcript.pyannote[2665].start 11576.29784375
transcript.pyannote[2665].end 11577.88409375
transcript.pyannote[2666].speaker SPEAKER_22
transcript.pyannote[2666].start 11578.17096875
transcript.pyannote[2666].end 11579.50409375
transcript.pyannote[2667].speaker SPEAKER_22
transcript.pyannote[2667].start 11579.79096875
transcript.pyannote[2667].end 11583.41909375
transcript.pyannote[2668].speaker SPEAKER_22
transcript.pyannote[2668].start 11584.41471875
transcript.pyannote[2668].end 11585.69721875
transcript.pyannote[2669].speaker SPEAKER_18
transcript.pyannote[2669].start 11584.54971875
transcript.pyannote[2669].end 11585.25846875
transcript.pyannote[2670].speaker SPEAKER_18
transcript.pyannote[2670].start 11585.46096875
transcript.pyannote[2670].end 11588.39721875
transcript.pyannote[2671].speaker SPEAKER_22
transcript.pyannote[2671].start 11586.64221875
transcript.pyannote[2671].end 11587.53659375
transcript.pyannote[2672].speaker SPEAKER_18
transcript.pyannote[2672].start 11588.88659375
transcript.pyannote[2672].end 11606.97659375
transcript.pyannote[2673].speaker SPEAKER_00
transcript.pyannote[2673].start 11594.25284375
transcript.pyannote[2673].end 11594.28659375
transcript.pyannote[2674].speaker SPEAKER_22
transcript.pyannote[2674].start 11594.28659375
transcript.pyannote[2674].end 11594.92784375
transcript.pyannote[2675].speaker SPEAKER_14
transcript.pyannote[2675].start 11604.36096875
transcript.pyannote[2675].end 11604.37784375
transcript.pyannote[2676].speaker SPEAKER_14
transcript.pyannote[2676].start 11604.39471875
transcript.pyannote[2676].end 11604.41159375
transcript.pyannote[2677].speaker SPEAKER_14
transcript.pyannote[2677].start 11606.97659375
transcript.pyannote[2677].end 11612.46096875
transcript.pyannote[2678].speaker SPEAKER_14
transcript.pyannote[2678].start 11612.69721875
transcript.pyannote[2678].end 11619.56534375
transcript.pyannote[2679].speaker SPEAKER_18
transcript.pyannote[2679].start 11618.67096875
transcript.pyannote[2679].end 11624.34096875
transcript.pyannote[2680].speaker SPEAKER_22
transcript.pyannote[2680].start 11622.82221875
transcript.pyannote[2680].end 11632.17096875
transcript.pyannote[2681].speaker SPEAKER_18
transcript.pyannote[2681].start 11629.63971875
transcript.pyannote[2681].end 11629.69034375
transcript.pyannote[2682].speaker SPEAKER_18
transcript.pyannote[2682].start 11629.70721875
transcript.pyannote[2682].end 11629.94346875
transcript.pyannote[2683].speaker SPEAKER_18
transcript.pyannote[2683].start 11631.25971875
transcript.pyannote[2683].end 11638.22909375
transcript.pyannote[2684].speaker SPEAKER_14
transcript.pyannote[2684].start 11637.16596875
transcript.pyannote[2684].end 11645.56971875
transcript.pyannote[2685].speaker SPEAKER_14
transcript.pyannote[2685].start 11646.29534375
transcript.pyannote[2685].end 11646.76784375
transcript.pyannote[2686].speaker SPEAKER_14
transcript.pyannote[2686].start 11647.29096875
transcript.pyannote[2686].end 11648.06721875
transcript.pyannote[2687].speaker SPEAKER_14
transcript.pyannote[2687].start 11648.21909375
transcript.pyannote[2687].end 11649.43409375
transcript.pyannote[2688].speaker SPEAKER_18
transcript.pyannote[2688].start 11649.55221875
transcript.pyannote[2688].end 11656.25159375
transcript.pyannote[2689].speaker SPEAKER_18
transcript.pyannote[2689].start 11656.77471875
transcript.pyannote[2689].end 11666.12346875
transcript.pyannote[2690].speaker SPEAKER_22
transcript.pyannote[2690].start 11663.32221875
transcript.pyannote[2690].end 11664.67221875
transcript.pyannote[2691].speaker SPEAKER_14
transcript.pyannote[2691].start 11664.67221875
transcript.pyannote[2691].end 11664.70596875
transcript.pyannote[2692].speaker SPEAKER_22
transcript.pyannote[2692].start 11664.70596875
transcript.pyannote[2692].end 11664.73971875
transcript.pyannote[2693].speaker SPEAKER_14
transcript.pyannote[2693].start 11664.73971875
transcript.pyannote[2693].end 11664.79034375
transcript.pyannote[2694].speaker SPEAKER_18
transcript.pyannote[2694].start 11666.98409375
transcript.pyannote[2694].end 11668.09784375
transcript.pyannote[2695].speaker SPEAKER_14
transcript.pyannote[2695].start 11668.70534375
transcript.pyannote[2695].end 11677.85159375
transcript.pyannote[2696].speaker SPEAKER_18
transcript.pyannote[2696].start 11676.67034375
transcript.pyannote[2696].end 11684.28096875
transcript.pyannote[2697].speaker SPEAKER_22
transcript.pyannote[2697].start 11683.23471875
transcript.pyannote[2697].end 11695.62096875
transcript.pyannote[2698].speaker SPEAKER_18
transcript.pyannote[2698].start 11694.62534375
transcript.pyannote[2698].end 11703.46784375
transcript.pyannote[2699].speaker SPEAKER_22
transcript.pyannote[2699].start 11699.29971875
transcript.pyannote[2699].end 11700.02534375
transcript.pyannote[2700].speaker SPEAKER_14
transcript.pyannote[2700].start 11700.02534375
transcript.pyannote[2700].end 11700.51471875
transcript.pyannote[2701].speaker SPEAKER_22
transcript.pyannote[2701].start 11700.51471875
transcript.pyannote[2701].end 11700.59909375
transcript.pyannote[2702].speaker SPEAKER_14
transcript.pyannote[2702].start 11700.59909375
transcript.pyannote[2702].end 11700.85221875
transcript.pyannote[2703].speaker SPEAKER_14
transcript.pyannote[2703].start 11701.67909375
transcript.pyannote[2703].end 11705.61096875
transcript.pyannote[2704].speaker SPEAKER_18
transcript.pyannote[2704].start 11704.46346875
transcript.pyannote[2704].end 11716.74846875
transcript.pyannote[2705].speaker SPEAKER_22
transcript.pyannote[2705].start 11717.42346875
transcript.pyannote[2705].end 11717.82846875
transcript.pyannote[2706].speaker SPEAKER_18
transcript.pyannote[2706].start 11718.04784375
transcript.pyannote[2706].end 11738.33159375
transcript.pyannote[2707].speaker SPEAKER_18
transcript.pyannote[2707].start 11738.90534375
transcript.pyannote[2707].end 11744.37284375
transcript.pyannote[2708].speaker SPEAKER_22
transcript.pyannote[2708].start 11739.02346875
transcript.pyannote[2708].end 11739.85034375
transcript.pyannote[2709].speaker SPEAKER_22
transcript.pyannote[2709].start 11744.37284375
transcript.pyannote[2709].end 11753.62034375
transcript.pyannote[2710].speaker SPEAKER_18
transcript.pyannote[2710].start 11752.59096875
transcript.pyannote[2710].end 11755.62846875
transcript.pyannote[2711].speaker SPEAKER_18
transcript.pyannote[2711].start 11756.05034375
transcript.pyannote[2711].end 11771.81159375
transcript.pyannote[2712].speaker SPEAKER_18
transcript.pyannote[2712].start 11772.01409375
transcript.pyannote[2712].end 11774.64659375
transcript.pyannote[2713].speaker SPEAKER_18
transcript.pyannote[2713].start 11775.15284375
transcript.pyannote[2713].end 11780.26596875
transcript.pyannote[2714].speaker SPEAKER_18
transcript.pyannote[2714].start 11780.73846875
transcript.pyannote[2714].end 11792.28096875
transcript.pyannote[2715].speaker SPEAKER_18
transcript.pyannote[2715].start 11792.31471875
transcript.pyannote[2715].end 11803.08096875
transcript.pyannote[2716].speaker SPEAKER_18
transcript.pyannote[2716].start 11803.51971875
transcript.pyannote[2716].end 11805.89909375
transcript.pyannote[2717].speaker SPEAKER_18
transcript.pyannote[2717].start 11806.27034375
transcript.pyannote[2717].end 11815.92284375
transcript.pyannote[2718].speaker SPEAKER_18
transcript.pyannote[2718].start 11816.53034375
transcript.pyannote[2718].end 11824.51221875
transcript.pyannote[2719].speaker SPEAKER_22
transcript.pyannote[2719].start 11825.20409375
transcript.pyannote[2719].end 11828.71409375
transcript.pyannote[2720].speaker SPEAKER_18
transcript.pyannote[2720].start 11828.71409375
transcript.pyannote[2720].end 11841.97784375
transcript.pyannote[2721].speaker SPEAKER_18
transcript.pyannote[2721].start 11842.61909375
transcript.pyannote[2721].end 11844.37409375
transcript.pyannote[2722].speaker SPEAKER_18
transcript.pyannote[2722].start 11844.72846875
transcript.pyannote[2722].end 11850.02721875
transcript.pyannote[2723].speaker SPEAKER_18
transcript.pyannote[2723].start 11850.34784375
transcript.pyannote[2723].end 11853.68909375
transcript.pyannote[2724].speaker SPEAKER_18
transcript.pyannote[2724].start 11854.16159375
transcript.pyannote[2724].end 11857.14846875
transcript.pyannote[2725].speaker SPEAKER_18
transcript.pyannote[2725].start 11857.30034375
transcript.pyannote[2725].end 11868.60659375
transcript.pyannote[2726].speaker SPEAKER_10
transcript.pyannote[2726].start 11867.71221875
transcript.pyannote[2726].end 11877.73596875
transcript.pyannote[2727].speaker SPEAKER_10
transcript.pyannote[2727].start 11877.85409375
transcript.pyannote[2727].end 11882.30909375
transcript.pyannote[2728].speaker SPEAKER_10
transcript.pyannote[2728].start 11882.44409375
transcript.pyannote[2728].end 11887.64159375
transcript.pyannote[2729].speaker SPEAKER_10
transcript.pyannote[2729].start 11888.09721875
transcript.pyannote[2729].end 11891.18534375
transcript.pyannote[2730].speaker SPEAKER_10
transcript.pyannote[2730].start 11891.40471875
transcript.pyannote[2730].end 11892.33284375
transcript.pyannote[2731].speaker SPEAKER_10
transcript.pyannote[2731].start 11892.38346875
transcript.pyannote[2731].end 11895.16784375
transcript.pyannote[2732].speaker SPEAKER_10
transcript.pyannote[2732].start 11895.37034375
transcript.pyannote[2732].end 11911.53659375
transcript.pyannote[2733].speaker SPEAKER_18
transcript.pyannote[2733].start 11910.20346875
transcript.pyannote[2733].end 11915.56971875
transcript.pyannote[2734].speaker SPEAKER_10
transcript.pyannote[2734].start 11912.07659375
transcript.pyannote[2734].end 11925.96471875
transcript.pyannote[2735].speaker SPEAKER_18
transcript.pyannote[2735].start 11925.32346875
transcript.pyannote[2735].end 11929.50846875
transcript.pyannote[2736].speaker SPEAKER_18
transcript.pyannote[2736].start 11929.98096875
transcript.pyannote[2736].end 11938.97534375
transcript.pyannote[2737].speaker SPEAKER_18
transcript.pyannote[2737].start 11939.21159375
transcript.pyannote[2737].end 11948.67846875
transcript.pyannote[2738].speaker SPEAKER_18
transcript.pyannote[2738].start 11949.25221875
transcript.pyannote[2738].end 11956.93034375
transcript.pyannote[2739].speaker SPEAKER_10
transcript.pyannote[2739].start 11949.52221875
transcript.pyannote[2739].end 11951.07471875
transcript.pyannote[2740].speaker SPEAKER_10
transcript.pyannote[2740].start 11956.96409375
transcript.pyannote[2740].end 11958.82034375
transcript.pyannote[2741].speaker SPEAKER_10
transcript.pyannote[2741].start 11958.92159375
transcript.pyannote[2741].end 11962.27971875
transcript.pyannote[2742].speaker SPEAKER_18
transcript.pyannote[2742].start 11958.95534375
transcript.pyannote[2742].end 11959.32659375
transcript.pyannote[2743].speaker SPEAKER_11
transcript.pyannote[2743].start 11964.77721875
transcript.pyannote[2743].end 11975.12159375
transcript.pyannote[2744].speaker SPEAKER_03
transcript.pyannote[2744].start 11989.66784375
transcript.pyannote[2744].end 11994.86534375
transcript.pyannote[2745].speaker SPEAKER_03
transcript.pyannote[2745].start 11995.33784375
transcript.pyannote[2745].end 11999.25284375
transcript.pyannote[2746].speaker SPEAKER_03
transcript.pyannote[2746].start 11999.48909375
transcript.pyannote[2746].end 12002.57721875
transcript.pyannote[2747].speaker SPEAKER_11
transcript.pyannote[2747].start 12002.79659375
transcript.pyannote[2747].end 12003.55596875
transcript.pyannote[2748].speaker SPEAKER_03
transcript.pyannote[2748].start 12002.88096875
transcript.pyannote[2748].end 12004.83846875
transcript.pyannote[2749].speaker SPEAKER_11
transcript.pyannote[2749].start 12004.50096875
transcript.pyannote[2749].end 12005.98596875
transcript.pyannote[2750].speaker SPEAKER_03
transcript.pyannote[2750].start 12005.24346875
transcript.pyannote[2750].end 12012.04409375
transcript.pyannote[2751].speaker SPEAKER_11
transcript.pyannote[2751].start 12010.89659375
transcript.pyannote[2751].end 12012.66846875
transcript.pyannote[2752].speaker SPEAKER_03
transcript.pyannote[2752].start 12012.17909375
transcript.pyannote[2752].end 12015.41909375
transcript.pyannote[2753].speaker SPEAKER_03
transcript.pyannote[2753].start 12015.99284375
transcript.pyannote[2753].end 12017.34284375
transcript.pyannote[2754].speaker SPEAKER_03
transcript.pyannote[2754].start 12017.84909375
transcript.pyannote[2754].end 12019.09784375
transcript.pyannote[2755].speaker SPEAKER_03
transcript.pyannote[2755].start 12019.51971875
transcript.pyannote[2755].end 12019.75596875
transcript.pyannote[2756].speaker SPEAKER_03
transcript.pyannote[2756].start 12020.34659375
transcript.pyannote[2756].end 12024.07596875
transcript.pyannote[2757].speaker SPEAKER_03
transcript.pyannote[2757].start 12024.36284375
transcript.pyannote[2757].end 12029.20596875
transcript.pyannote[2758].speaker SPEAKER_03
transcript.pyannote[2758].start 12029.94846875
transcript.pyannote[2758].end 12030.21846875
transcript.pyannote[2759].speaker SPEAKER_03
transcript.pyannote[2759].start 12030.45471875
transcript.pyannote[2759].end 12031.75409375
transcript.pyannote[2760].speaker SPEAKER_03
transcript.pyannote[2760].start 12032.12534375
transcript.pyannote[2760].end 12032.54721875
transcript.pyannote[2761].speaker SPEAKER_03
transcript.pyannote[2761].start 12033.08721875
transcript.pyannote[2761].end 12033.94784375
transcript.pyannote[2762].speaker SPEAKER_03
transcript.pyannote[2762].start 12034.67346875
transcript.pyannote[2762].end 12037.64346875
transcript.pyannote[2763].speaker SPEAKER_03
transcript.pyannote[2763].start 12038.03159375
transcript.pyannote[2763].end 12039.11159375
transcript.pyannote[2764].speaker SPEAKER_03
transcript.pyannote[2764].start 12039.43221875
transcript.pyannote[2764].end 12041.15346875
transcript.pyannote[2765].speaker SPEAKER_03
transcript.pyannote[2765].start 12041.50784375
transcript.pyannote[2765].end 12042.30096875
transcript.pyannote[2766].speaker SPEAKER_03
transcript.pyannote[2766].start 12042.57096875
transcript.pyannote[2766].end 12043.21221875
transcript.pyannote[2767].speaker SPEAKER_03
transcript.pyannote[2767].start 12043.76909375
transcript.pyannote[2767].end 12045.62534375
transcript.pyannote[2768].speaker SPEAKER_03
transcript.pyannote[2768].start 12045.96284375
transcript.pyannote[2768].end 12046.63784375
transcript.pyannote[2769].speaker SPEAKER_03
transcript.pyannote[2769].start 12046.97534375
transcript.pyannote[2769].end 12049.92846875
transcript.pyannote[2770].speaker SPEAKER_03
transcript.pyannote[2770].start 12051.16034375
transcript.pyannote[2770].end 12051.71721875
transcript.pyannote[2771].speaker SPEAKER_03
transcript.pyannote[2771].start 12052.40909375
transcript.pyannote[2771].end 12054.31596875
transcript.pyannote[2772].speaker SPEAKER_03
transcript.pyannote[2772].start 12054.60284375
transcript.pyannote[2772].end 12055.39596875
transcript.pyannote[2773].speaker SPEAKER_03
transcript.pyannote[2773].start 12055.66596875
transcript.pyannote[2773].end 12059.68221875
transcript.pyannote[2774].speaker SPEAKER_13
transcript.pyannote[2774].start 12060.67784375
transcript.pyannote[2774].end 12061.53846875
transcript.pyannote[2775].speaker SPEAKER_03
transcript.pyannote[2775].start 12062.24721875
transcript.pyannote[2775].end 12063.63096875
transcript.pyannote[2776].speaker SPEAKER_03
transcript.pyannote[2776].start 12064.59284375
transcript.pyannote[2776].end 12066.73596875
transcript.pyannote[2777].speaker SPEAKER_03
transcript.pyannote[2777].start 12067.15784375
transcript.pyannote[2777].end 12072.01784375
transcript.pyannote[2778].speaker SPEAKER_03
transcript.pyannote[2778].start 12072.30471875
transcript.pyannote[2778].end 12074.19471875
transcript.pyannote[2779].speaker SPEAKER_03
transcript.pyannote[2779].start 12074.49846875
transcript.pyannote[2779].end 12076.99596875
transcript.pyannote[2780].speaker SPEAKER_03
transcript.pyannote[2780].start 12077.48534375
transcript.pyannote[2780].end 12078.58221875
transcript.pyannote[2781].speaker SPEAKER_03
transcript.pyannote[2781].start 12079.84784375
transcript.pyannote[2781].end 12080.47221875
transcript.pyannote[2782].speaker SPEAKER_03
transcript.pyannote[2782].start 12080.82659375
transcript.pyannote[2782].end 12083.17221875
transcript.pyannote[2783].speaker SPEAKER_03
transcript.pyannote[2783].start 12083.56034375
transcript.pyannote[2783].end 12084.92721875
transcript.pyannote[2784].speaker SPEAKER_13
transcript.pyannote[2784].start 12085.19721875
transcript.pyannote[2784].end 12090.95159375
transcript.pyannote[2785].speaker SPEAKER_03
transcript.pyannote[2785].start 12089.33159375
transcript.pyannote[2785].end 12090.78284375
transcript.pyannote[2786].speaker SPEAKER_13
transcript.pyannote[2786].start 12091.54221875
transcript.pyannote[2786].end 12095.42346875
transcript.pyannote[2787].speaker SPEAKER_13
transcript.pyannote[2787].start 12095.54159375
transcript.pyannote[2787].end 12110.61096875
transcript.pyannote[2788].speaker SPEAKER_03
transcript.pyannote[2788].start 12099.62534375
transcript.pyannote[2788].end 12100.62096875
transcript.pyannote[2789].speaker SPEAKER_03
transcript.pyannote[2789].start 12109.54784375
transcript.pyannote[2789].end 12118.03596875
transcript.pyannote[2790].speaker SPEAKER_13
transcript.pyannote[2790].start 12110.88096875
transcript.pyannote[2790].end 12111.26909375
transcript.pyannote[2791].speaker SPEAKER_13
transcript.pyannote[2791].start 12118.39034375
transcript.pyannote[2791].end 12126.70971875
transcript.pyannote[2792].speaker SPEAKER_03
transcript.pyannote[2792].start 12126.30471875
transcript.pyannote[2792].end 12126.84471875
transcript.pyannote[2793].speaker SPEAKER_13
transcript.pyannote[2793].start 12126.84471875
transcript.pyannote[2793].end 12127.03034375
transcript.pyannote[2794].speaker SPEAKER_03
transcript.pyannote[2794].start 12127.03034375
transcript.pyannote[2794].end 12130.60784375
transcript.pyannote[2795].speaker SPEAKER_03
transcript.pyannote[2795].start 12130.74284375
transcript.pyannote[2795].end 12135.46784375
transcript.pyannote[2796].speaker SPEAKER_13
transcript.pyannote[2796].start 12135.75471875
transcript.pyannote[2796].end 12149.03534375
transcript.pyannote[2797].speaker SPEAKER_03
transcript.pyannote[2797].start 12140.81721875
transcript.pyannote[2797].end 12141.54284375
transcript.pyannote[2798].speaker SPEAKER_13
transcript.pyannote[2798].start 12149.17034375
transcript.pyannote[2798].end 12155.70096875
transcript.pyannote[2799].speaker SPEAKER_13
transcript.pyannote[2799].start 12156.17346875
transcript.pyannote[2799].end 12159.39659375
transcript.pyannote[2800].speaker SPEAKER_03
transcript.pyannote[2800].start 12156.20721875
transcript.pyannote[2800].end 12156.89909375
transcript.pyannote[2801].speaker SPEAKER_03
transcript.pyannote[2801].start 12158.40096875
transcript.pyannote[2801].end 12159.27846875
transcript.pyannote[2802].speaker SPEAKER_13
transcript.pyannote[2802].start 12159.85221875
transcript.pyannote[2802].end 12165.58971875
transcript.pyannote[2803].speaker SPEAKER_03
transcript.pyannote[2803].start 12163.36221875
transcript.pyannote[2803].end 12163.76721875
transcript.pyannote[2804].speaker SPEAKER_13
transcript.pyannote[2804].start 12166.04534375
transcript.pyannote[2804].end 12173.55471875
transcript.pyannote[2805].speaker SPEAKER_03
transcript.pyannote[2805].start 12166.11284375
transcript.pyannote[2805].end 12166.51784375
transcript.pyannote[2806].speaker SPEAKER_03
transcript.pyannote[2806].start 12170.78721875
transcript.pyannote[2806].end 12171.79971875
transcript.pyannote[2807].speaker SPEAKER_03
transcript.pyannote[2807].start 12173.16659375
transcript.pyannote[2807].end 12175.61346875
transcript.pyannote[2808].speaker SPEAKER_03
transcript.pyannote[2808].start 12175.84971875
transcript.pyannote[2808].end 12179.91659375
transcript.pyannote[2809].speaker SPEAKER_03
transcript.pyannote[2809].start 12180.22034375
transcript.pyannote[2809].end 12181.16534375
transcript.pyannote[2810].speaker SPEAKER_03
transcript.pyannote[2810].start 12181.70534375
transcript.pyannote[2810].end 12182.88659375
transcript.pyannote[2811].speaker SPEAKER_03
transcript.pyannote[2811].start 12183.22409375
transcript.pyannote[2811].end 12185.97471875
transcript.pyannote[2812].speaker SPEAKER_03
transcript.pyannote[2812].start 12186.07596875
transcript.pyannote[2812].end 12188.15159375
transcript.pyannote[2813].speaker SPEAKER_03
transcript.pyannote[2813].start 12188.26971875
transcript.pyannote[2813].end 12190.96971875
transcript.pyannote[2814].speaker SPEAKER_03
transcript.pyannote[2814].start 12191.39159375
transcript.pyannote[2814].end 12191.77971875
transcript.pyannote[2815].speaker SPEAKER_03
transcript.pyannote[2815].start 12191.91471875
transcript.pyannote[2815].end 12193.34909375
transcript.pyannote[2816].speaker SPEAKER_11
transcript.pyannote[2816].start 12193.41659375
transcript.pyannote[2816].end 12193.78784375
transcript.pyannote[2817].speaker SPEAKER_03
transcript.pyannote[2817].start 12193.78784375
transcript.pyannote[2817].end 12196.53846875
transcript.pyannote[2818].speaker SPEAKER_03
transcript.pyannote[2818].start 12196.79159375
transcript.pyannote[2818].end 12200.33534375
transcript.pyannote[2819].speaker SPEAKER_03
transcript.pyannote[2819].start 12200.70659375
transcript.pyannote[2819].end 12207.10221875
transcript.pyannote[2820].speaker SPEAKER_13
transcript.pyannote[2820].start 12207.50721875
transcript.pyannote[2820].end 12222.94784375
transcript.pyannote[2821].speaker SPEAKER_13
transcript.pyannote[2821].start 12223.23471875
transcript.pyannote[2821].end 12228.04409375
transcript.pyannote[2822].speaker SPEAKER_03
transcript.pyannote[2822].start 12226.25534375
transcript.pyannote[2822].end 12229.91721875
transcript.pyannote[2823].speaker SPEAKER_03
transcript.pyannote[2823].start 12230.06909375
transcript.pyannote[2823].end 12234.32159375
transcript.pyannote[2824].speaker SPEAKER_15
transcript.pyannote[2824].start 12234.20346875
transcript.pyannote[2824].end 12234.30471875
transcript.pyannote[2825].speaker SPEAKER_15
transcript.pyannote[2825].start 12234.32159375
transcript.pyannote[2825].end 12234.43971875
transcript.pyannote[2826].speaker SPEAKER_03
transcript.pyannote[2826].start 12234.40596875
transcript.pyannote[2826].end 12234.42284375
transcript.pyannote[2827].speaker SPEAKER_03
transcript.pyannote[2827].start 12234.43971875
transcript.pyannote[2827].end 12239.19846875
transcript.pyannote[2828].speaker SPEAKER_15
transcript.pyannote[2828].start 12234.49034375
transcript.pyannote[2828].end 12234.52409375
transcript.pyannote[2829].speaker SPEAKER_15
transcript.pyannote[2829].start 12238.28721875
transcript.pyannote[2829].end 12238.48971875
transcript.pyannote[2830].speaker SPEAKER_03
transcript.pyannote[2830].start 12240.12659375
transcript.pyannote[2830].end 12241.91534375
transcript.pyannote[2831].speaker SPEAKER_03
transcript.pyannote[2831].start 12242.03346875
transcript.pyannote[2831].end 12246.47159375
transcript.pyannote[2832].speaker SPEAKER_03
transcript.pyannote[2832].start 12246.67409375
transcript.pyannote[2832].end 12248.71596875
transcript.pyannote[2833].speaker SPEAKER_03
transcript.pyannote[2833].start 12248.85096875
transcript.pyannote[2833].end 12249.96471875
transcript.pyannote[2834].speaker SPEAKER_03
transcript.pyannote[2834].start 12250.06596875
transcript.pyannote[2834].end 12250.48784375
transcript.pyannote[2835].speaker SPEAKER_03
transcript.pyannote[2835].start 12250.84221875
transcript.pyannote[2835].end 12251.17971875
transcript.pyannote[2836].speaker SPEAKER_03
transcript.pyannote[2836].start 12251.63534375
transcript.pyannote[2836].end 12255.28034375
transcript.pyannote[2837].speaker SPEAKER_03
transcript.pyannote[2837].start 12255.63471875
transcript.pyannote[2837].end 12259.87034375
transcript.pyannote[2838].speaker SPEAKER_13
transcript.pyannote[2838].start 12259.87034375
transcript.pyannote[2838].end 12259.88721875
transcript.pyannote[2839].speaker SPEAKER_13
transcript.pyannote[2839].start 12260.27534375
transcript.pyannote[2839].end 12260.68034375
transcript.pyannote[2840].speaker SPEAKER_03
transcript.pyannote[2840].start 12260.68034375
transcript.pyannote[2840].end 12260.96721875
transcript.pyannote[2841].speaker SPEAKER_13
transcript.pyannote[2841].start 12260.96721875
transcript.pyannote[2841].end 12265.25346875
transcript.pyannote[2842].speaker SPEAKER_13
transcript.pyannote[2842].start 12265.59096875
transcript.pyannote[2842].end 12270.02909375
transcript.pyannote[2843].speaker SPEAKER_03
transcript.pyannote[2843].start 12270.02909375
transcript.pyannote[2843].end 12271.85159375
transcript.pyannote[2844].speaker SPEAKER_13
transcript.pyannote[2844].start 12271.85159375
transcript.pyannote[2844].end 12271.86846875
transcript.pyannote[2845].speaker SPEAKER_03
transcript.pyannote[2845].start 12272.02034375
transcript.pyannote[2845].end 12273.16784375
transcript.pyannote[2846].speaker SPEAKER_03
transcript.pyannote[2846].start 12274.39971875
transcript.pyannote[2846].end 12276.96471875
transcript.pyannote[2847].speaker SPEAKER_13
transcript.pyannote[2847].start 12276.96471875
transcript.pyannote[2847].end 12287.03909375
transcript.pyannote[2848].speaker SPEAKER_03
transcript.pyannote[2848].start 12279.41159375
transcript.pyannote[2848].end 12280.00221875
transcript.pyannote[2849].speaker SPEAKER_03
transcript.pyannote[2849].start 12287.03909375
transcript.pyannote[2849].end 12287.81534375
transcript.pyannote[2850].speaker SPEAKER_03
transcript.pyannote[2850].start 12288.11909375
transcript.pyannote[2850].end 12289.53659375
transcript.pyannote[2851].speaker SPEAKER_03
transcript.pyannote[2851].start 12289.72221875
transcript.pyannote[2851].end 12291.71346875
transcript.pyannote[2852].speaker SPEAKER_03
transcript.pyannote[2852].start 12292.10159375
transcript.pyannote[2852].end 12294.71721875
transcript.pyannote[2853].speaker SPEAKER_03
transcript.pyannote[2853].start 12294.97034375
transcript.pyannote[2853].end 12296.87721875
transcript.pyannote[2854].speaker SPEAKER_03
transcript.pyannote[2854].start 12296.92784375
transcript.pyannote[2854].end 12298.15971875
transcript.pyannote[2855].speaker SPEAKER_03
transcript.pyannote[2855].start 12298.34534375
transcript.pyannote[2855].end 12299.72909375
transcript.pyannote[2856].speaker SPEAKER_03
transcript.pyannote[2856].start 12299.98221875
transcript.pyannote[2856].end 12301.06221875
transcript.pyannote[2857].speaker SPEAKER_13
transcript.pyannote[2857].start 12301.06221875
transcript.pyannote[2857].end 12301.11284375
transcript.pyannote[2858].speaker SPEAKER_13
transcript.pyannote[2858].start 12301.34909375
transcript.pyannote[2858].end 12309.07784375
transcript.pyannote[2859].speaker SPEAKER_03
transcript.pyannote[2859].start 12309.07784375
transcript.pyannote[2859].end 12309.09471875
transcript.pyannote[2860].speaker SPEAKER_13
transcript.pyannote[2860].start 12309.09471875
transcript.pyannote[2860].end 12310.37721875
transcript.pyannote[2861].speaker SPEAKER_03
transcript.pyannote[2861].start 12309.14534375
transcript.pyannote[2861].end 12310.71471875
transcript.pyannote[2862].speaker SPEAKER_13
transcript.pyannote[2862].start 12310.71471875
transcript.pyannote[2862].end 12310.91721875
transcript.pyannote[2863].speaker SPEAKER_03
transcript.pyannote[2863].start 12310.91721875
transcript.pyannote[2863].end 12314.79846875
transcript.pyannote[2864].speaker SPEAKER_13
transcript.pyannote[2864].start 12315.13596875
transcript.pyannote[2864].end 12323.87721875
transcript.pyannote[2865].speaker SPEAKER_03
transcript.pyannote[2865].start 12323.40471875
transcript.pyannote[2865].end 12325.24409375
transcript.pyannote[2866].speaker SPEAKER_13
transcript.pyannote[2866].start 12325.24409375
transcript.pyannote[2866].end 12327.43784375
transcript.pyannote[2867].speaker SPEAKER_03
transcript.pyannote[2867].start 12327.43784375
transcript.pyannote[2867].end 12333.66471875
transcript.pyannote[2868].speaker SPEAKER_13
transcript.pyannote[2868].start 12327.47159375
transcript.pyannote[2868].end 12328.34909375
transcript.pyannote[2869].speaker SPEAKER_03
transcript.pyannote[2869].start 12334.10346875
transcript.pyannote[2869].end 12342.30471875
transcript.pyannote[2870].speaker SPEAKER_13
transcript.pyannote[2870].start 12340.39784375
transcript.pyannote[2870].end 12340.70159375
transcript.pyannote[2871].speaker SPEAKER_13
transcript.pyannote[2871].start 12341.52846875
transcript.pyannote[2871].end 12342.27096875
transcript.pyannote[2872].speaker SPEAKER_13
transcript.pyannote[2872].start 12342.30471875
transcript.pyannote[2872].end 12342.97971875
transcript.pyannote[2873].speaker SPEAKER_03
transcript.pyannote[2873].start 12342.97971875
transcript.pyannote[2873].end 12352.83471875
transcript.pyannote[2874].speaker SPEAKER_03
transcript.pyannote[2874].start 12353.20596875
transcript.pyannote[2874].end 12355.31534375
transcript.pyannote[2875].speaker SPEAKER_13
transcript.pyannote[2875].start 12355.31534375
transcript.pyannote[2875].end 12355.34909375
transcript.pyannote[2876].speaker SPEAKER_13
transcript.pyannote[2876].start 12355.55159375
transcript.pyannote[2876].end 12355.56846875
transcript.pyannote[2877].speaker SPEAKER_03
transcript.pyannote[2877].start 12355.56846875
transcript.pyannote[2877].end 12356.10846875
transcript.pyannote[2878].speaker SPEAKER_13
transcript.pyannote[2878].start 12356.10846875
transcript.pyannote[2878].end 12356.15909375
transcript.pyannote[2879].speaker SPEAKER_13
transcript.pyannote[2879].start 12356.39534375
transcript.pyannote[2879].end 12356.42909375
transcript.pyannote[2880].speaker SPEAKER_03
transcript.pyannote[2880].start 12356.42909375
transcript.pyannote[2880].end 12356.96909375
transcript.pyannote[2881].speaker SPEAKER_13
transcript.pyannote[2881].start 12356.96909375
transcript.pyannote[2881].end 12358.13346875
transcript.pyannote[2882].speaker SPEAKER_13
transcript.pyannote[2882].start 12358.30221875
transcript.pyannote[2882].end 12366.92534375
transcript.pyannote[2883].speaker SPEAKER_03
transcript.pyannote[2883].start 12365.20409375
transcript.pyannote[2883].end 12366.82409375
transcript.pyannote[2884].speaker SPEAKER_03
transcript.pyannote[2884].start 12366.92534375
transcript.pyannote[2884].end 12367.88721875
transcript.pyannote[2885].speaker SPEAKER_13
transcript.pyannote[2885].start 12367.88721875
transcript.pyannote[2885].end 12376.29096875
transcript.pyannote[2886].speaker SPEAKER_03
transcript.pyannote[2886].start 12376.29096875
transcript.pyannote[2886].end 12385.77471875
transcript.pyannote[2887].speaker SPEAKER_13
transcript.pyannote[2887].start 12385.03221875
transcript.pyannote[2887].end 12390.02721875
transcript.pyannote[2888].speaker SPEAKER_03
transcript.pyannote[2888].start 12388.13721875
transcript.pyannote[2888].end 12388.89659375
transcript.pyannote[2889].speaker SPEAKER_13
transcript.pyannote[2889].start 12390.22971875
transcript.pyannote[2889].end 12396.08534375
transcript.pyannote[2890].speaker SPEAKER_13
transcript.pyannote[2890].start 12396.15284375
transcript.pyannote[2890].end 12399.96659375
transcript.pyannote[2891].speaker SPEAKER_13
transcript.pyannote[2891].start 12400.30409375
transcript.pyannote[2891].end 12400.64159375
transcript.pyannote[2892].speaker SPEAKER_13
transcript.pyannote[2892].start 12400.92846875
transcript.pyannote[2892].end 12402.05909375
transcript.pyannote[2893].speaker SPEAKER_13
transcript.pyannote[2893].start 12402.39659375
transcript.pyannote[2893].end 12408.85971875
transcript.pyannote[2894].speaker SPEAKER_13
transcript.pyannote[2894].start 12409.46721875
transcript.pyannote[2894].end 12413.04471875
transcript.pyannote[2895].speaker SPEAKER_03
transcript.pyannote[2895].start 12410.39534375
transcript.pyannote[2895].end 12411.22221875
transcript.pyannote[2896].speaker SPEAKER_03
transcript.pyannote[2896].start 12413.04471875
transcript.pyannote[2896].end 12431.84346875
transcript.pyannote[2897].speaker SPEAKER_04
transcript.pyannote[2897].start 12423.89534375
transcript.pyannote[2897].end 12423.96284375
transcript.pyannote[2898].speaker SPEAKER_03
transcript.pyannote[2898].start 12432.26534375
transcript.pyannote[2898].end 12435.03284375
transcript.pyannote[2899].speaker SPEAKER_03
transcript.pyannote[2899].start 12435.20159375
transcript.pyannote[2899].end 12436.61909375
transcript.pyannote[2900].speaker SPEAKER_03
transcript.pyannote[2900].start 12437.07471875
transcript.pyannote[2900].end 12438.40784375
transcript.pyannote[2901].speaker SPEAKER_03
transcript.pyannote[2901].start 12438.50909375
transcript.pyannote[2901].end 12441.47909375
transcript.pyannote[2902].speaker SPEAKER_03
transcript.pyannote[2902].start 12441.96846875
transcript.pyannote[2902].end 12443.94284375
transcript.pyannote[2903].speaker SPEAKER_13
transcript.pyannote[2903].start 12444.39846875
transcript.pyannote[2903].end 12447.40221875
transcript.pyannote[2904].speaker SPEAKER_13
transcript.pyannote[2904].start 12447.65534375
transcript.pyannote[2904].end 12463.34909375
transcript.pyannote[2905].speaker SPEAKER_13
transcript.pyannote[2905].start 12463.65284375
transcript.pyannote[2905].end 12464.91846875
transcript.pyannote[2906].speaker SPEAKER_13
transcript.pyannote[2906].start 12465.12096875
transcript.pyannote[2906].end 12466.72409375
transcript.pyannote[2907].speaker SPEAKER_13
transcript.pyannote[2907].start 12466.84221875
transcript.pyannote[2907].end 12469.79534375
transcript.pyannote[2908].speaker SPEAKER_03
transcript.pyannote[2908].start 12469.79534375
transcript.pyannote[2908].end 12469.81221875
transcript.pyannote[2909].speaker SPEAKER_13
transcript.pyannote[2909].start 12469.84596875
transcript.pyannote[2909].end 12470.03159375
transcript.pyannote[2910].speaker SPEAKER_03
transcript.pyannote[2910].start 12470.03159375
transcript.pyannote[2910].end 12472.10721875
transcript.pyannote[2911].speaker SPEAKER_03
transcript.pyannote[2911].start 12472.14096875
transcript.pyannote[2911].end 12474.06471875
transcript.pyannote[2912].speaker SPEAKER_03
transcript.pyannote[2912].start 12475.48221875
transcript.pyannote[2912].end 12480.96659375
transcript.pyannote[2913].speaker SPEAKER_13
transcript.pyannote[2913].start 12480.96659375
transcript.pyannote[2913].end 12481.28721875
transcript.pyannote[2914].speaker SPEAKER_03
transcript.pyannote[2914].start 12481.28721875
transcript.pyannote[2914].end 12482.56971875
transcript.pyannote[2915].speaker SPEAKER_13
transcript.pyannote[2915].start 12481.32096875
transcript.pyannote[2915].end 12481.77659375
transcript.pyannote[2916].speaker SPEAKER_13
transcript.pyannote[2916].start 12482.56971875
transcript.pyannote[2916].end 12482.58659375
transcript.pyannote[2917].speaker SPEAKER_13
transcript.pyannote[2917].start 12483.07596875
transcript.pyannote[2917].end 12490.14659375
transcript.pyannote[2918].speaker SPEAKER_03
transcript.pyannote[2918].start 12490.14659375
transcript.pyannote[2918].end 12497.57159375
transcript.pyannote[2919].speaker SPEAKER_15
transcript.pyannote[2919].start 12494.75346875
transcript.pyannote[2919].end 12495.54659375
transcript.pyannote[2920].speaker SPEAKER_03
transcript.pyannote[2920].start 12497.74034375
transcript.pyannote[2920].end 12499.41096875
transcript.pyannote[2921].speaker SPEAKER_03
transcript.pyannote[2921].start 12499.54596875
transcript.pyannote[2921].end 12510.46409375
transcript.pyannote[2922].speaker SPEAKER_03
transcript.pyannote[2922].start 12510.59909375
transcript.pyannote[2922].end 12514.19346875
transcript.pyannote[2923].speaker SPEAKER_03
transcript.pyannote[2923].start 12514.42971875
transcript.pyannote[2923].end 12522.44534375
transcript.pyannote[2924].speaker SPEAKER_15
transcript.pyannote[2924].start 12522.42846875
transcript.pyannote[2924].end 12522.74909375
transcript.pyannote[2925].speaker SPEAKER_03
transcript.pyannote[2925].start 12522.79971875
transcript.pyannote[2925].end 12526.22534375
transcript.pyannote[2926].speaker SPEAKER_13
transcript.pyannote[2926].start 12526.22534375
transcript.pyannote[2926].end 12535.54034375
transcript.pyannote[2927].speaker SPEAKER_03
transcript.pyannote[2927].start 12526.27596875
transcript.pyannote[2927].end 12527.57534375
transcript.pyannote[2928].speaker SPEAKER_03
transcript.pyannote[2928].start 12534.66284375
transcript.pyannote[2928].end 12538.88159375
transcript.pyannote[2929].speaker SPEAKER_13
transcript.pyannote[2929].start 12536.99159375
transcript.pyannote[2929].end 12537.48096875
transcript.pyannote[2930].speaker SPEAKER_03
transcript.pyannote[2930].start 12539.50596875
transcript.pyannote[2930].end 12541.32846875
transcript.pyannote[2931].speaker SPEAKER_03
transcript.pyannote[2931].start 12541.64909375
transcript.pyannote[2931].end 12542.66159375
transcript.pyannote[2932].speaker SPEAKER_03
transcript.pyannote[2932].start 12543.08346875
transcript.pyannote[2932].end 12544.82159375
transcript.pyannote[2933].speaker SPEAKER_14
transcript.pyannote[2933].start 12546.17159375
transcript.pyannote[2933].end 12546.84659375
transcript.pyannote[2934].speaker SPEAKER_03
transcript.pyannote[2934].start 12547.08284375
transcript.pyannote[2934].end 12548.65221875
transcript.pyannote[2935].speaker SPEAKER_14
transcript.pyannote[2935].start 12548.92221875
transcript.pyannote[2935].end 12559.53659375
transcript.pyannote[2936].speaker SPEAKER_03
transcript.pyannote[2936].start 12549.41159375
transcript.pyannote[2936].end 12550.60971875
transcript.pyannote[2937].speaker SPEAKER_03
transcript.pyannote[2937].start 12554.59221875
transcript.pyannote[2937].end 12555.97596875
transcript.pyannote[2938].speaker SPEAKER_03
transcript.pyannote[2938].start 12558.91221875
transcript.pyannote[2938].end 12565.20659375
transcript.pyannote[2939].speaker SPEAKER_03
transcript.pyannote[2939].start 12565.40909375
transcript.pyannote[2939].end 12568.32846875
transcript.pyannote[2940].speaker SPEAKER_03
transcript.pyannote[2940].start 12568.36221875
transcript.pyannote[2940].end 12571.50096875
transcript.pyannote[2941].speaker SPEAKER_03
transcript.pyannote[2941].start 12571.58534375
transcript.pyannote[2941].end 12576.73221875
transcript.pyannote[2942].speaker SPEAKER_14
transcript.pyannote[2942].start 12576.27659375
transcript.pyannote[2942].end 12586.43534375
transcript.pyannote[2943].speaker SPEAKER_03
transcript.pyannote[2943].start 12584.69721875
transcript.pyannote[2943].end 12592.08846875
transcript.pyannote[2944].speaker SPEAKER_14
transcript.pyannote[2944].start 12587.76846875
transcript.pyannote[2944].end 12588.74721875
transcript.pyannote[2945].speaker SPEAKER_20
transcript.pyannote[2945].start 12588.74721875
transcript.pyannote[2945].end 12588.78096875
transcript.pyannote[2946].speaker SPEAKER_14
transcript.pyannote[2946].start 12588.78096875
transcript.pyannote[2946].end 12588.79784375
transcript.pyannote[2947].speaker SPEAKER_20
transcript.pyannote[2947].start 12588.79784375
transcript.pyannote[2947].end 12588.86534375
transcript.pyannote[2948].speaker SPEAKER_14
transcript.pyannote[2948].start 12588.86534375
transcript.pyannote[2948].end 12590.58659375
transcript.pyannote[2949].speaker SPEAKER_14
transcript.pyannote[2949].start 12592.67909375
transcript.pyannote[2949].end 12592.94909375
transcript.pyannote[2950].speaker SPEAKER_03
transcript.pyannote[2950].start 12593.57346875
transcript.pyannote[2950].end 12602.88846875
transcript.pyannote[2951].speaker SPEAKER_03
transcript.pyannote[2951].start 12603.29346875
transcript.pyannote[2951].end 12606.01034375
transcript.pyannote[2952].speaker SPEAKER_14
transcript.pyannote[2952].start 12604.62659375
transcript.pyannote[2952].end 12605.72346875
transcript.pyannote[2953].speaker SPEAKER_14
transcript.pyannote[2953].start 12606.01034375
transcript.pyannote[2953].end 12606.02721875
transcript.pyannote[2954].speaker SPEAKER_03
transcript.pyannote[2954].start 12606.44909375
transcript.pyannote[2954].end 12621.48471875
transcript.pyannote[2955].speaker SPEAKER_14
transcript.pyannote[2955].start 12610.92096875
transcript.pyannote[2955].end 12611.20784375
transcript.pyannote[2956].speaker SPEAKER_01
transcript.pyannote[2956].start 12611.20784375
transcript.pyannote[2956].end 12611.32596875
transcript.pyannote[2957].speaker SPEAKER_14
transcript.pyannote[2957].start 12611.32596875
transcript.pyannote[2957].end 12611.34284375
transcript.pyannote[2958].speaker SPEAKER_01
transcript.pyannote[2958].start 12611.34284375
transcript.pyannote[2958].end 12611.35971875
transcript.pyannote[2959].speaker SPEAKER_03
transcript.pyannote[2959].start 12621.50159375
transcript.pyannote[2959].end 12624.42096875
transcript.pyannote[2960].speaker SPEAKER_03
transcript.pyannote[2960].start 12624.82596875
transcript.pyannote[2960].end 12626.63159375
transcript.pyannote[2961].speaker SPEAKER_14
transcript.pyannote[2961].start 12627.32346875
transcript.pyannote[2961].end 12629.14596875
transcript.pyannote[2962].speaker SPEAKER_03
transcript.pyannote[2962].start 12628.20096875
transcript.pyannote[2962].end 12629.19659375
transcript.pyannote[2963].speaker SPEAKER_14
transcript.pyannote[2963].start 12629.19659375
transcript.pyannote[2963].end 12629.31471875
transcript.pyannote[2964].speaker SPEAKER_14
transcript.pyannote[2964].start 12629.66909375
transcript.pyannote[2964].end 12629.78721875
transcript.pyannote[2965].speaker SPEAKER_03
transcript.pyannote[2965].start 12630.52971875
transcript.pyannote[2965].end 12633.83721875
transcript.pyannote[2966].speaker SPEAKER_03
transcript.pyannote[2966].start 12634.27596875
transcript.pyannote[2966].end 12637.07721875
transcript.pyannote[2967].speaker SPEAKER_03
transcript.pyannote[2967].start 12637.36409375
transcript.pyannote[2967].end 12639.05159375
transcript.pyannote[2968].speaker SPEAKER_03
transcript.pyannote[2968].start 12639.18659375
transcript.pyannote[2968].end 12648.51846875
transcript.pyannote[2969].speaker SPEAKER_04
transcript.pyannote[2969].start 12647.77596875
transcript.pyannote[2969].end 12647.99534375
transcript.pyannote[2970].speaker SPEAKER_03
transcript.pyannote[2970].start 12648.82221875
transcript.pyannote[2970].end 12650.81346875
transcript.pyannote[2971].speaker SPEAKER_03
transcript.pyannote[2971].start 12650.93159375
transcript.pyannote[2971].end 12654.37409375
transcript.pyannote[2972].speaker SPEAKER_14
transcript.pyannote[2972].start 12654.88034375
transcript.pyannote[2972].end 12664.97159375
transcript.pyannote[2973].speaker SPEAKER_03
transcript.pyannote[2973].start 12663.80721875
transcript.pyannote[2973].end 12668.41409375
transcript.pyannote[2974].speaker SPEAKER_14
transcript.pyannote[2974].start 12669.30846875
transcript.pyannote[2974].end 12671.94096875
transcript.pyannote[2975].speaker SPEAKER_03
transcript.pyannote[2975].start 12672.07596875
transcript.pyannote[2975].end 12672.61596875
transcript.pyannote[2976].speaker SPEAKER_14
transcript.pyannote[2976].start 12672.61596875
transcript.pyannote[2976].end 12672.85221875
transcript.pyannote[2977].speaker SPEAKER_03
transcript.pyannote[2977].start 12672.85221875
transcript.pyannote[2977].end 12673.79721875
transcript.pyannote[2978].speaker SPEAKER_14
transcript.pyannote[2978].start 12672.90284375
transcript.pyannote[2978].end 12673.10534375
transcript.pyannote[2979].speaker SPEAKER_03
transcript.pyannote[2979].start 12674.33721875
transcript.pyannote[2979].end 12675.28221875
transcript.pyannote[2980].speaker SPEAKER_14
transcript.pyannote[2980].start 12676.05846875
transcript.pyannote[2980].end 12677.34096875
transcript.pyannote[2981].speaker SPEAKER_03
transcript.pyannote[2981].start 12677.34096875
transcript.pyannote[2981].end 12679.02846875
transcript.pyannote[2982].speaker SPEAKER_14
transcript.pyannote[2982].start 12677.35784375
transcript.pyannote[2982].end 12677.44221875
transcript.pyannote[2983].speaker SPEAKER_03
transcript.pyannote[2983].start 12679.06221875
transcript.pyannote[2983].end 12682.87596875
transcript.pyannote[2984].speaker SPEAKER_03
transcript.pyannote[2984].start 12683.21346875
transcript.pyannote[2984].end 12694.53659375
transcript.pyannote[2985].speaker SPEAKER_14
transcript.pyannote[2985].start 12694.94159375
transcript.pyannote[2985].end 12699.64971875
transcript.pyannote[2986].speaker SPEAKER_14
transcript.pyannote[2986].start 12699.75096875
transcript.pyannote[2986].end 12718.21221875
transcript.pyannote[2987].speaker SPEAKER_03
transcript.pyannote[2987].start 12718.26284375
transcript.pyannote[2987].end 12723.91596875
transcript.pyannote[2988].speaker SPEAKER_14
transcript.pyannote[2988].start 12724.62471875
transcript.pyannote[2988].end 12728.03346875
transcript.pyannote[2989].speaker SPEAKER_03
transcript.pyannote[2989].start 12727.54409375
transcript.pyannote[2989].end 12729.43409375
transcript.pyannote[2990].speaker SPEAKER_03
transcript.pyannote[2990].start 12729.63659375
transcript.pyannote[2990].end 12733.12971875
transcript.pyannote[2991].speaker SPEAKER_03
transcript.pyannote[2991].start 12733.21409375
transcript.pyannote[2991].end 12736.62284375
transcript.pyannote[2992].speaker SPEAKER_14
transcript.pyannote[2992].start 12737.17971875
transcript.pyannote[2992].end 12737.90534375
transcript.pyannote[2993].speaker SPEAKER_03
transcript.pyannote[2993].start 12737.41596875
transcript.pyannote[2993].end 12738.24284375
transcript.pyannote[2994].speaker SPEAKER_03
transcript.pyannote[2994].start 12738.54659375
transcript.pyannote[2994].end 12740.77409375
transcript.pyannote[2995].speaker SPEAKER_03
transcript.pyannote[2995].start 12741.01034375
transcript.pyannote[2995].end 12743.69346875
transcript.pyannote[2996].speaker SPEAKER_14
transcript.pyannote[2996].start 12744.18284375
transcript.pyannote[2996].end 12745.00971875
transcript.pyannote[2997].speaker SPEAKER_14
transcript.pyannote[2997].start 12745.43159375
transcript.pyannote[2997].end 12745.92096875
transcript.pyannote[2998].speaker SPEAKER_14
transcript.pyannote[2998].start 12746.27534375
transcript.pyannote[2998].end 12751.30409375
transcript.pyannote[2999].speaker SPEAKER_14
transcript.pyannote[2999].start 12751.33784375
transcript.pyannote[2999].end 12757.17659375
transcript.pyannote[3000].speaker SPEAKER_14
transcript.pyannote[3000].start 12757.44659375
transcript.pyannote[3000].end 12765.04034375
transcript.pyannote[3001].speaker SPEAKER_03
transcript.pyannote[3001].start 12764.68596875
transcript.pyannote[3001].end 12766.91346875
transcript.pyannote[3002].speaker SPEAKER_14
transcript.pyannote[3002].start 12765.59721875
transcript.pyannote[3002].end 12765.71534375
transcript.pyannote[3003].speaker SPEAKER_03
transcript.pyannote[3003].start 12767.31846875
transcript.pyannote[3003].end 12769.27596875
transcript.pyannote[3004].speaker SPEAKER_14
transcript.pyannote[3004].start 12767.58846875
transcript.pyannote[3004].end 12768.68534375
transcript.pyannote[3005].speaker SPEAKER_14
transcript.pyannote[3005].start 12768.83721875
transcript.pyannote[3005].end 12770.11971875
transcript.pyannote[3006].speaker SPEAKER_03
transcript.pyannote[3006].start 12769.93409375
transcript.pyannote[3006].end 12770.18721875
transcript.pyannote[3007].speaker SPEAKER_14
transcript.pyannote[3007].start 12770.18721875
transcript.pyannote[3007].end 12773.02221875
transcript.pyannote[3008].speaker SPEAKER_14
transcript.pyannote[3008].start 12773.20784375
transcript.pyannote[3008].end 12775.87409375
transcript.pyannote[3009].speaker SPEAKER_14
transcript.pyannote[3009].start 12776.34659375
transcript.pyannote[3009].end 12780.54846875
transcript.pyannote[3010].speaker SPEAKER_14
transcript.pyannote[3010].start 12780.91971875
transcript.pyannote[3010].end 12781.57784375
transcript.pyannote[3011].speaker SPEAKER_14
transcript.pyannote[3011].start 12781.93221875
transcript.pyannote[3011].end 12783.38346875
transcript.pyannote[3012].speaker SPEAKER_14
transcript.pyannote[3012].start 12783.55221875
transcript.pyannote[3012].end 12785.54346875
transcript.pyannote[3013].speaker SPEAKER_14
transcript.pyannote[3013].start 12785.81346875
transcript.pyannote[3013].end 12788.47971875
transcript.pyannote[3014].speaker SPEAKER_03
transcript.pyannote[3014].start 12788.68221875
transcript.pyannote[3014].end 12795.43221875
transcript.pyannote[3015].speaker SPEAKER_03
transcript.pyannote[3015].start 12795.56721875
transcript.pyannote[3015].end 12797.96346875
transcript.pyannote[3016].speaker SPEAKER_03
transcript.pyannote[3016].start 12797.99721875
transcript.pyannote[3016].end 12798.03096875
transcript.pyannote[3017].speaker SPEAKER_03
transcript.pyannote[3017].start 12798.04784375
transcript.pyannote[3017].end 12799.87034375
transcript.pyannote[3018].speaker SPEAKER_14
transcript.pyannote[3018].start 12800.88284375
transcript.pyannote[3018].end 12811.39596875
transcript.pyannote[3019].speaker SPEAKER_03
transcript.pyannote[3019].start 12805.38846875
transcript.pyannote[3019].end 12805.77659375
transcript.pyannote[3020].speaker SPEAKER_03
transcript.pyannote[3020].start 12811.39596875
transcript.pyannote[3020].end 12815.81721875
transcript.pyannote[3021].speaker SPEAKER_14
transcript.pyannote[3021].start 12811.42971875
transcript.pyannote[3021].end 12811.44659375
transcript.pyannote[3022].speaker SPEAKER_14
transcript.pyannote[3022].start 12811.58159375
transcript.pyannote[3022].end 12811.96971875
transcript.pyannote[3023].speaker SPEAKER_03
transcript.pyannote[3023].start 12815.83409375
transcript.pyannote[3023].end 12820.27221875
transcript.pyannote[3024].speaker SPEAKER_03
transcript.pyannote[3024].start 12820.76159375
transcript.pyannote[3024].end 12827.29221875
transcript.pyannote[3025].speaker SPEAKER_03
transcript.pyannote[3025].start 12827.62971875
transcript.pyannote[3025].end 12836.45534375
transcript.pyannote[3026].speaker SPEAKER_03
transcript.pyannote[3026].start 12836.77596875
transcript.pyannote[3026].end 12838.73346875
transcript.pyannote[3027].speaker SPEAKER_03
transcript.pyannote[3027].start 12839.37471875
transcript.pyannote[3027].end 12841.33221875
transcript.pyannote[3028].speaker SPEAKER_03
transcript.pyannote[3028].start 12841.65284375
transcript.pyannote[3028].end 12844.20096875
transcript.pyannote[3029].speaker SPEAKER_03
transcript.pyannote[3029].start 12844.43721875
transcript.pyannote[3029].end 12848.03159375
transcript.pyannote[3030].speaker SPEAKER_03
transcript.pyannote[3030].start 12848.26784375
transcript.pyannote[3030].end 12850.12409375
transcript.pyannote[3031].speaker SPEAKER_14
transcript.pyannote[3031].start 12850.86659375
transcript.pyannote[3031].end 12852.79034375
transcript.pyannote[3032].speaker SPEAKER_03
transcript.pyannote[3032].start 12851.76096875
transcript.pyannote[3032].end 12852.53721875
transcript.pyannote[3033].speaker SPEAKER_03
transcript.pyannote[3033].start 12853.00971875
transcript.pyannote[3033].end 12856.60409375
transcript.pyannote[3034].speaker SPEAKER_03
transcript.pyannote[3034].start 12856.92471875
transcript.pyannote[3034].end 12858.52784375
transcript.pyannote[3035].speaker SPEAKER_03
transcript.pyannote[3035].start 12858.74721875
transcript.pyannote[3035].end 12859.15221875
transcript.pyannote[3036].speaker SPEAKER_14
transcript.pyannote[3036].start 12859.60784375
transcript.pyannote[3036].end 12863.97846875
transcript.pyannote[3037].speaker SPEAKER_03
transcript.pyannote[3037].start 12862.35846875
transcript.pyannote[3037].end 12864.02909375
transcript.pyannote[3038].speaker SPEAKER_14
transcript.pyannote[3038].start 12864.02909375
transcript.pyannote[3038].end 12865.90221875
transcript.pyannote[3039].speaker SPEAKER_14
transcript.pyannote[3039].start 12866.13846875
transcript.pyannote[3039].end 12872.24721875
transcript.pyannote[3040].speaker SPEAKER_03
transcript.pyannote[3040].start 12868.97346875
transcript.pyannote[3040].end 12869.29409375
transcript.pyannote[3041].speaker SPEAKER_14
transcript.pyannote[3041].start 12872.90534375
transcript.pyannote[3041].end 12875.41971875
transcript.pyannote[3042].speaker SPEAKER_03
transcript.pyannote[3042].start 12874.32284375
transcript.pyannote[3042].end 12880.06034375
transcript.pyannote[3043].speaker SPEAKER_03
transcript.pyannote[3043].start 12880.17846875
transcript.pyannote[3043].end 12881.64659375
transcript.pyannote[3044].speaker SPEAKER_03
transcript.pyannote[3044].start 12881.73096875
transcript.pyannote[3044].end 12882.89534375
transcript.pyannote[3045].speaker SPEAKER_03
transcript.pyannote[3045].start 12883.28346875
transcript.pyannote[3045].end 12884.70096875
transcript.pyannote[3046].speaker SPEAKER_03
transcript.pyannote[3046].start 12884.71784375
transcript.pyannote[3046].end 12888.09284375
transcript.pyannote[3047].speaker SPEAKER_03
transcript.pyannote[3047].start 12888.26159375
transcript.pyannote[3047].end 12889.44284375
transcript.pyannote[3048].speaker SPEAKER_03
transcript.pyannote[3048].start 12889.83096875
transcript.pyannote[3048].end 12890.74221875
transcript.pyannote[3049].speaker SPEAKER_14
transcript.pyannote[3049].start 12890.92784375
transcript.pyannote[3049].end 12893.07096875
transcript.pyannote[3050].speaker SPEAKER_14
transcript.pyannote[3050].start 12893.49284375
transcript.pyannote[3050].end 12893.89784375
transcript.pyannote[3051].speaker SPEAKER_14
transcript.pyannote[3051].start 12894.15096875
transcript.pyannote[3051].end 12895.38284375
transcript.pyannote[3052].speaker SPEAKER_14
transcript.pyannote[3052].start 12895.65284375
transcript.pyannote[3052].end 12897.82971875
transcript.pyannote[3053].speaker SPEAKER_14
transcript.pyannote[3053].start 12898.62284375
transcript.pyannote[3053].end 12902.62221875
transcript.pyannote[3054].speaker SPEAKER_03
transcript.pyannote[3054].start 12901.93034375
transcript.pyannote[3054].end 12906.14909375
transcript.pyannote[3055].speaker SPEAKER_03
transcript.pyannote[3055].start 12906.33471875
transcript.pyannote[3055].end 12909.30471875
transcript.pyannote[3056].speaker SPEAKER_03
transcript.pyannote[3056].start 12909.74346875
transcript.pyannote[3056].end 12910.68846875
transcript.pyannote[3057].speaker SPEAKER_03
transcript.pyannote[3057].start 12910.85721875
transcript.pyannote[3057].end 12915.93659375
transcript.pyannote[3058].speaker SPEAKER_14
transcript.pyannote[3058].start 12912.39284375
transcript.pyannote[3058].end 12913.03409375
transcript.pyannote[3059].speaker SPEAKER_14
transcript.pyannote[3059].start 12914.40096875
transcript.pyannote[3059].end 12915.41346875
transcript.pyannote[3060].speaker SPEAKER_14
transcript.pyannote[3060].start 12916.18971875
transcript.pyannote[3060].end 12920.52659375
transcript.pyannote[3061].speaker SPEAKER_03
transcript.pyannote[3061].start 12919.22721875
transcript.pyannote[3061].end 12919.83471875
transcript.pyannote[3062].speaker SPEAKER_03
transcript.pyannote[3062].start 12920.13846875
transcript.pyannote[3062].end 12922.01159375
transcript.pyannote[3063].speaker SPEAKER_14
transcript.pyannote[3063].start 12920.54346875
transcript.pyannote[3063].end 12920.56034375
transcript.pyannote[3064].speaker SPEAKER_11
transcript.pyannote[3064].start 12929.20034375
transcript.pyannote[3064].end 12932.76096875
transcript.pyannote[3065].speaker SPEAKER_11
transcript.pyannote[3065].start 12934.38096875
transcript.pyannote[3065].end 12936.10221875
transcript.pyannote[3066].speaker SPEAKER_11
transcript.pyannote[3066].start 12936.25409375
transcript.pyannote[3066].end 12941.09721875
transcript.pyannote[3067].speaker SPEAKER_04
transcript.pyannote[3067].start 12950.81721875
transcript.pyannote[3067].end 12953.39909375
transcript.pyannote[3068].speaker SPEAKER_11
transcript.pyannote[3068].start 12953.68596875
transcript.pyannote[3068].end 12955.66034375
transcript.pyannote[3069].speaker SPEAKER_04
transcript.pyannote[3069].start 12963.52409375
transcript.pyannote[3069].end 12973.61534375
transcript.pyannote[3070].speaker SPEAKER_00
transcript.pyannote[3070].start 12965.00909375
transcript.pyannote[3070].end 12965.05971875
transcript.pyannote[3071].speaker SPEAKER_15
transcript.pyannote[3071].start 12965.05971875
transcript.pyannote[3071].end 12965.44784375
transcript.pyannote[3072].speaker SPEAKER_00
transcript.pyannote[3072].start 12965.44784375
transcript.pyannote[3072].end 12965.51534375
transcript.pyannote[3073].speaker SPEAKER_04
transcript.pyannote[3073].start 12973.98659375
transcript.pyannote[3073].end 12980.31471875
transcript.pyannote[3074].speaker SPEAKER_04
transcript.pyannote[3074].start 12980.77034375
transcript.pyannote[3074].end 12982.13721875
transcript.pyannote[3075].speaker SPEAKER_04
transcript.pyannote[3075].start 12982.35659375
transcript.pyannote[3075].end 12985.17471875
transcript.pyannote[3076].speaker SPEAKER_04
transcript.pyannote[3076].start 12985.34346875
transcript.pyannote[3076].end 12987.33471875
transcript.pyannote[3077].speaker SPEAKER_04
transcript.pyannote[3077].start 12987.57096875
transcript.pyannote[3077].end 12988.81971875
transcript.pyannote[3078].speaker SPEAKER_04
transcript.pyannote[3078].start 12989.05596875
transcript.pyannote[3078].end 12993.03846875
transcript.pyannote[3079].speaker SPEAKER_04
transcript.pyannote[3079].start 12993.49409375
transcript.pyannote[3079].end 12994.52346875
transcript.pyannote[3080].speaker SPEAKER_04
transcript.pyannote[3080].start 12994.59096875
transcript.pyannote[3080].end 13006.92659375
transcript.pyannote[3081].speaker SPEAKER_04
transcript.pyannote[3081].start 13006.96034375
transcript.pyannote[3081].end 13015.29659375
transcript.pyannote[3082].speaker SPEAKER_04
transcript.pyannote[3082].start 13015.46534375
transcript.pyannote[3082].end 13022.43471875
transcript.pyannote[3083].speaker SPEAKER_04
transcript.pyannote[3083].start 13022.65409375
transcript.pyannote[3083].end 13034.07846875
transcript.pyannote[3084].speaker SPEAKER_04
transcript.pyannote[3084].start 13034.28096875
transcript.pyannote[3084].end 13035.19221875
transcript.pyannote[3085].speaker SPEAKER_04
transcript.pyannote[3085].start 13035.41159375
transcript.pyannote[3085].end 13039.00596875
transcript.pyannote[3086].speaker SPEAKER_04
transcript.pyannote[3086].start 13039.15784375
transcript.pyannote[3086].end 13046.09346875
transcript.pyannote[3087].speaker SPEAKER_04
transcript.pyannote[3087].start 13046.39721875
transcript.pyannote[3087].end 13048.47284375
transcript.pyannote[3088].speaker SPEAKER_04
transcript.pyannote[3088].start 13048.55721875
transcript.pyannote[3088].end 13053.58596875
transcript.pyannote[3089].speaker SPEAKER_10
transcript.pyannote[3089].start 13054.15971875
transcript.pyannote[3089].end 13074.94971875
transcript.pyannote[3090].speaker SPEAKER_04
transcript.pyannote[3090].start 13069.85346875
transcript.pyannote[3090].end 13071.91221875
transcript.pyannote[3091].speaker SPEAKER_04
transcript.pyannote[3091].start 13073.78534375
transcript.pyannote[3091].end 13077.31221875
transcript.pyannote[3092].speaker SPEAKER_10
transcript.pyannote[3092].start 13075.60784375
transcript.pyannote[3092].end 13095.19971875
transcript.pyannote[3093].speaker SPEAKER_10
transcript.pyannote[3093].start 13095.33471875
transcript.pyannote[3093].end 13104.97034375
transcript.pyannote[3094].speaker SPEAKER_04
transcript.pyannote[3094].start 13104.26159375
transcript.pyannote[3094].end 13106.43846875
transcript.pyannote[3095].speaker SPEAKER_10
transcript.pyannote[3095].start 13105.59471875
transcript.pyannote[3095].end 13108.76721875
transcript.pyannote[3096].speaker SPEAKER_04
transcript.pyannote[3096].start 13108.22721875
transcript.pyannote[3096].end 13116.02346875
transcript.pyannote[3097].speaker SPEAKER_10
transcript.pyannote[3097].start 13110.06659375
transcript.pyannote[3097].end 13113.49221875
transcript.pyannote[3098].speaker SPEAKER_10
transcript.pyannote[3098].start 13113.91409375
transcript.pyannote[3098].end 13125.89534375
transcript.pyannote[3099].speaker SPEAKER_04
transcript.pyannote[3099].start 13118.16659375
transcript.pyannote[3099].end 13118.80784375
transcript.pyannote[3100].speaker SPEAKER_04
transcript.pyannote[3100].start 13124.69721875
transcript.pyannote[3100].end 13124.73096875
transcript.pyannote[3101].speaker SPEAKER_14
transcript.pyannote[3101].start 13124.73096875
transcript.pyannote[3101].end 13124.88284375
transcript.pyannote[3102].speaker SPEAKER_04
transcript.pyannote[3102].start 13124.88284375
transcript.pyannote[3102].end 13124.96721875
transcript.pyannote[3103].speaker SPEAKER_14
transcript.pyannote[3103].start 13124.96721875
transcript.pyannote[3103].end 13125.50721875
transcript.pyannote[3104].speaker SPEAKER_04
transcript.pyannote[3104].start 13125.50721875
transcript.pyannote[3104].end 13126.77284375
transcript.pyannote[3105].speaker SPEAKER_14
transcript.pyannote[3105].start 13125.89534375
transcript.pyannote[3105].end 13126.03034375
transcript.pyannote[3106].speaker SPEAKER_14
transcript.pyannote[3106].start 13126.68846875
transcript.pyannote[3106].end 13126.70534375
transcript.pyannote[3107].speaker SPEAKER_10
transcript.pyannote[3107].start 13126.70534375
transcript.pyannote[3107].end 13126.72221875
transcript.pyannote[3108].speaker SPEAKER_14
transcript.pyannote[3108].start 13126.72221875
transcript.pyannote[3108].end 13126.73909375
transcript.pyannote[3109].speaker SPEAKER_10
transcript.pyannote[3109].start 13126.73909375
transcript.pyannote[3109].end 13126.77284375
transcript.pyannote[3110].speaker SPEAKER_14
transcript.pyannote[3110].start 13126.77284375
transcript.pyannote[3110].end 13126.82346875
transcript.pyannote[3111].speaker SPEAKER_10
transcript.pyannote[3111].start 13126.82346875
transcript.pyannote[3111].end 13126.99221875
transcript.pyannote[3112].speaker SPEAKER_14
transcript.pyannote[3112].start 13126.99221875
transcript.pyannote[3112].end 13127.49846875
transcript.pyannote[3113].speaker SPEAKER_10
transcript.pyannote[3113].start 13127.49846875
transcript.pyannote[3113].end 13127.66721875
transcript.pyannote[3114].speaker SPEAKER_04
transcript.pyannote[3114].start 13127.56596875
transcript.pyannote[3114].end 13149.79034375
transcript.pyannote[3115].speaker SPEAKER_14
transcript.pyannote[3115].start 13127.66721875
transcript.pyannote[3115].end 13127.70096875
transcript.pyannote[3116].speaker SPEAKER_10
transcript.pyannote[3116].start 13127.70096875
transcript.pyannote[3116].end 13127.73471875
transcript.pyannote[3117].speaker SPEAKER_14
transcript.pyannote[3117].start 13127.73471875
transcript.pyannote[3117].end 13128.10596875
transcript.pyannote[3118].speaker SPEAKER_10
transcript.pyannote[3118].start 13128.10596875
transcript.pyannote[3118].end 13128.13971875
transcript.pyannote[3119].speaker SPEAKER_10
transcript.pyannote[3119].start 13129.03409375
transcript.pyannote[3119].end 13129.05096875
transcript.pyannote[3120].speaker SPEAKER_14
transcript.pyannote[3120].start 13129.05096875
transcript.pyannote[3120].end 13130.13096875
transcript.pyannote[3121].speaker SPEAKER_14
transcript.pyannote[3121].start 13133.45534375
transcript.pyannote[3121].end 13135.61534375
transcript.pyannote[3122].speaker SPEAKER_14
transcript.pyannote[3122].start 13150.11096875
transcript.pyannote[3122].end 13157.73846875
transcript.pyannote[3123].speaker SPEAKER_14
transcript.pyannote[3123].start 13158.05909375
transcript.pyannote[3123].end 13161.88971875
transcript.pyannote[3124].speaker SPEAKER_14
transcript.pyannote[3124].start 13162.32846875
transcript.pyannote[3124].end 13163.40846875
transcript.pyannote[3125].speaker SPEAKER_14
transcript.pyannote[3125].start 13163.96534375
transcript.pyannote[3125].end 13165.85534375
transcript.pyannote[3126].speaker SPEAKER_04
transcript.pyannote[3126].start 13165.85534375
transcript.pyannote[3126].end 13166.00721875
transcript.pyannote[3127].speaker SPEAKER_04
transcript.pyannote[3127].start 13166.19284375
transcript.pyannote[3127].end 13169.70284375
transcript.pyannote[3128].speaker SPEAKER_04
transcript.pyannote[3128].start 13169.92221875
transcript.pyannote[3128].end 13171.20471875
transcript.pyannote[3129].speaker SPEAKER_04
transcript.pyannote[3129].start 13171.96409375
transcript.pyannote[3129].end 13183.13534375
transcript.pyannote[3130].speaker SPEAKER_14
transcript.pyannote[3130].start 13182.03846875
transcript.pyannote[3130].end 13182.94971875
transcript.pyannote[3131].speaker SPEAKER_22
transcript.pyannote[3131].start 13182.94971875
transcript.pyannote[3131].end 13184.02971875
transcript.pyannote[3132].speaker SPEAKER_04
transcript.pyannote[3132].start 13184.02971875
transcript.pyannote[3132].end 13185.04221875
transcript.pyannote[3133].speaker SPEAKER_22
transcript.pyannote[3133].start 13184.43471875
transcript.pyannote[3133].end 13184.45159375
transcript.pyannote[3134].speaker SPEAKER_14
transcript.pyannote[3134].start 13184.45159375
transcript.pyannote[3134].end 13190.20596875
transcript.pyannote[3135].speaker SPEAKER_22
transcript.pyannote[3135].start 13185.04221875
transcript.pyannote[3135].end 13185.07596875
transcript.pyannote[3136].speaker SPEAKER_22
transcript.pyannote[3136].start 13189.37909375
transcript.pyannote[3136].end 13189.41284375
transcript.pyannote[3137].speaker SPEAKER_04
transcript.pyannote[3137].start 13189.41284375
transcript.pyannote[3137].end 13191.18471875
transcript.pyannote[3138].speaker SPEAKER_04
transcript.pyannote[3138].start 13191.80909375
transcript.pyannote[3138].end 13200.71909375
transcript.pyannote[3139].speaker SPEAKER_04
transcript.pyannote[3139].start 13201.17471875
transcript.pyannote[3139].end 13202.32221875
transcript.pyannote[3140].speaker SPEAKER_04
transcript.pyannote[3140].start 13203.25034375
transcript.pyannote[3140].end 13203.57096875
transcript.pyannote[3141].speaker SPEAKER_14
transcript.pyannote[3141].start 13204.02659375
transcript.pyannote[3141].end 13206.45659375
transcript.pyannote[3142].speaker SPEAKER_04
transcript.pyannote[3142].start 13206.45659375
transcript.pyannote[3142].end 13206.94596875
transcript.pyannote[3143].speaker SPEAKER_04
transcript.pyannote[3143].start 13207.09784375
transcript.pyannote[3143].end 13214.11784375
transcript.pyannote[3144].speaker SPEAKER_14
transcript.pyannote[3144].start 13208.27909375
transcript.pyannote[3144].end 13209.89909375
transcript.pyannote[3145].speaker SPEAKER_14
transcript.pyannote[3145].start 13214.25284375
transcript.pyannote[3145].end 13216.51409375
transcript.pyannote[3146].speaker SPEAKER_14
transcript.pyannote[3146].start 13217.29034375
transcript.pyannote[3146].end 13217.30721875
transcript.pyannote[3147].speaker SPEAKER_04
transcript.pyannote[3147].start 13217.30721875
transcript.pyannote[3147].end 13226.01471875
transcript.pyannote[3148].speaker SPEAKER_14
transcript.pyannote[3148].start 13221.52596875
transcript.pyannote[3148].end 13221.54284375
transcript.pyannote[3149].speaker SPEAKER_10
transcript.pyannote[3149].start 13221.54284375
transcript.pyannote[3149].end 13221.61034375
transcript.pyannote[3150].speaker SPEAKER_14
transcript.pyannote[3150].start 13221.61034375
transcript.pyannote[3150].end 13221.67784375
transcript.pyannote[3151].speaker SPEAKER_10
transcript.pyannote[3151].start 13221.67784375
transcript.pyannote[3151].end 13222.25159375
transcript.pyannote[3152].speaker SPEAKER_10
transcript.pyannote[3152].start 13223.21346875
transcript.pyannote[3152].end 13228.03971875
transcript.pyannote[3153].speaker SPEAKER_14
transcript.pyannote[3153].start 13226.50409375
transcript.pyannote[3153].end 13228.00596875
transcript.pyannote[3154].speaker SPEAKER_10
transcript.pyannote[3154].start 13228.24221875
transcript.pyannote[3154].end 13242.77159375
transcript.pyannote[3155].speaker SPEAKER_04
transcript.pyannote[3155].start 13239.64971875
transcript.pyannote[3155].end 13248.01971875
transcript.pyannote[3156].speaker SPEAKER_04
transcript.pyannote[3156].start 13248.50909375
transcript.pyannote[3156].end 13248.98159375
transcript.pyannote[3157].speaker SPEAKER_04
transcript.pyannote[3157].start 13249.42034375
transcript.pyannote[3157].end 13252.98096875
transcript.pyannote[3158].speaker SPEAKER_04
transcript.pyannote[3158].start 13253.60534375
transcript.pyannote[3158].end 13255.10721875
transcript.pyannote[3159].speaker SPEAKER_04
transcript.pyannote[3159].start 13255.42784375
transcript.pyannote[3159].end 13259.46096875
transcript.pyannote[3160].speaker SPEAKER_10
transcript.pyannote[3160].start 13258.70159375
transcript.pyannote[3160].end 13260.43971875
transcript.pyannote[3161].speaker SPEAKER_04
transcript.pyannote[3161].start 13260.03471875
transcript.pyannote[3161].end 13269.50159375
transcript.pyannote[3162].speaker SPEAKER_10
transcript.pyannote[3162].start 13260.91221875
transcript.pyannote[3162].end 13262.04284375
transcript.pyannote[3163].speaker SPEAKER_04
transcript.pyannote[3163].start 13269.55221875
transcript.pyannote[3163].end 13270.88534375
transcript.pyannote[3164].speaker SPEAKER_04
transcript.pyannote[3164].start 13270.93596875
transcript.pyannote[3164].end 13272.58971875
transcript.pyannote[3165].speaker SPEAKER_04
transcript.pyannote[3165].start 13272.67409375
transcript.pyannote[3165].end 13274.91846875
transcript.pyannote[3166].speaker SPEAKER_04
transcript.pyannote[3166].start 13275.52596875
transcript.pyannote[3166].end 13277.12909375
transcript.pyannote[3167].speaker SPEAKER_04
transcript.pyannote[3167].start 13277.43284375
transcript.pyannote[3167].end 13285.63409375
transcript.pyannote[3168].speaker SPEAKER_04
transcript.pyannote[3168].start 13285.93784375
transcript.pyannote[3168].end 13287.33846875
transcript.pyannote[3169].speaker SPEAKER_04
transcript.pyannote[3169].start 13287.72659375
transcript.pyannote[3169].end 13290.10596875
transcript.pyannote[3170].speaker SPEAKER_04
transcript.pyannote[3170].start 13290.13971875
transcript.pyannote[3170].end 13297.09221875
transcript.pyannote[3171].speaker SPEAKER_04
transcript.pyannote[3171].start 13297.81784375
transcript.pyannote[3171].end 13299.60659375
transcript.pyannote[3172].speaker SPEAKER_04
transcript.pyannote[3172].start 13299.91034375
transcript.pyannote[3172].end 13307.75721875
transcript.pyannote[3173].speaker SPEAKER_10
transcript.pyannote[3173].start 13307.85846875
transcript.pyannote[3173].end 13320.68346875
transcript.pyannote[3174].speaker SPEAKER_04
transcript.pyannote[3174].start 13319.08034375
transcript.pyannote[3174].end 13320.22784375
transcript.pyannote[3175].speaker SPEAKER_10
transcript.pyannote[3175].start 13320.97034375
transcript.pyannote[3175].end 13323.90659375
transcript.pyannote[3176].speaker SPEAKER_04
transcript.pyannote[3176].start 13321.61159375
transcript.pyannote[3176].end 13326.47159375
transcript.pyannote[3177].speaker SPEAKER_15
transcript.pyannote[3177].start 13326.91034375
transcript.pyannote[3177].end 13327.02846875
transcript.pyannote[3178].speaker SPEAKER_04
transcript.pyannote[3178].start 13327.12971875
transcript.pyannote[3178].end 13327.14659375
transcript.pyannote[3179].speaker SPEAKER_10
transcript.pyannote[3179].start 13327.14659375
transcript.pyannote[3179].end 13327.18034375
transcript.pyannote[3180].speaker SPEAKER_04
transcript.pyannote[3180].start 13327.16346875
transcript.pyannote[3180].end 13334.97659375
transcript.pyannote[3181].speaker SPEAKER_15
transcript.pyannote[3181].start 13327.18034375
transcript.pyannote[3181].end 13328.66534375
transcript.pyannote[3182].speaker SPEAKER_22
transcript.pyannote[3182].start 13334.97659375
transcript.pyannote[3182].end 13342.11471875
transcript.pyannote[3183].speaker SPEAKER_04
transcript.pyannote[3183].start 13335.34784375
transcript.pyannote[3183].end 13335.80346875
transcript.pyannote[3184].speaker SPEAKER_22
transcript.pyannote[3184].start 13342.48596875
transcript.pyannote[3184].end 13346.08034375
transcript.pyannote[3185].speaker SPEAKER_04
transcript.pyannote[3185].start 13342.65471875
transcript.pyannote[3185].end 13343.68409375
transcript.pyannote[3186].speaker SPEAKER_04
transcript.pyannote[3186].start 13345.64159375
transcript.pyannote[3186].end 13346.97471875
transcript.pyannote[3187].speaker SPEAKER_22
transcript.pyannote[3187].start 13346.97471875
transcript.pyannote[3187].end 13347.09284375
transcript.pyannote[3188].speaker SPEAKER_04
transcript.pyannote[3188].start 13347.09284375
transcript.pyannote[3188].end 13358.50034375
transcript.pyannote[3189].speaker SPEAKER_22
transcript.pyannote[3189].start 13347.19409375
transcript.pyannote[3189].end 13348.67909375
transcript.pyannote[3190].speaker SPEAKER_22
transcript.pyannote[3190].start 13357.03221875
transcript.pyannote[3190].end 13358.56784375
transcript.pyannote[3191].speaker SPEAKER_04
transcript.pyannote[3191].start 13358.56784375
transcript.pyannote[3191].end 13358.58471875
transcript.pyannote[3192].speaker SPEAKER_22
transcript.pyannote[3192].start 13358.58471875
transcript.pyannote[3192].end 13358.60159375
transcript.pyannote[3193].speaker SPEAKER_04
transcript.pyannote[3193].start 13358.60159375
transcript.pyannote[3193].end 13358.63534375
transcript.pyannote[3194].speaker SPEAKER_22
transcript.pyannote[3194].start 13358.63534375
transcript.pyannote[3194].end 13358.75346875
transcript.pyannote[3195].speaker SPEAKER_04
transcript.pyannote[3195].start 13358.75346875
transcript.pyannote[3195].end 13360.55909375
transcript.pyannote[3196].speaker SPEAKER_04
transcript.pyannote[3196].start 13361.04846875
transcript.pyannote[3196].end 13370.54909375
transcript.pyannote[3197].speaker SPEAKER_22
transcript.pyannote[3197].start 13361.45346875
transcript.pyannote[3197].end 13362.33096875
transcript.pyannote[3198].speaker SPEAKER_04
transcript.pyannote[3198].start 13370.76846875
transcript.pyannote[3198].end 13378.04159375
transcript.pyannote[3199].speaker SPEAKER_22
transcript.pyannote[3199].start 13378.04159375
transcript.pyannote[3199].end 13378.09221875
transcript.pyannote[3200].speaker SPEAKER_04
transcript.pyannote[3200].start 13378.09221875
transcript.pyannote[3200].end 13378.75034375
transcript.pyannote[3201].speaker SPEAKER_22
transcript.pyannote[3201].start 13378.22721875
transcript.pyannote[3201].end 13381.31534375
transcript.pyannote[3202].speaker SPEAKER_22
transcript.pyannote[3202].start 13381.56846875
transcript.pyannote[3202].end 13389.88784375
transcript.pyannote[3203].speaker SPEAKER_10
transcript.pyannote[3203].start 13388.52096875
transcript.pyannote[3203].end 13435.63596875
transcript.pyannote[3204].speaker SPEAKER_22
transcript.pyannote[3204].start 13391.42346875
transcript.pyannote[3204].end 13392.92534375
transcript.pyannote[3205].speaker SPEAKER_04
transcript.pyannote[3205].start 13392.92534375
transcript.pyannote[3205].end 13393.00971875
transcript.pyannote[3206].speaker SPEAKER_04
transcript.pyannote[3206].start 13398.57846875
transcript.pyannote[3206].end 13399.06784375
transcript.pyannote[3207].speaker SPEAKER_04
transcript.pyannote[3207].start 13399.45596875
transcript.pyannote[3207].end 13399.81034375
transcript.pyannote[3208].speaker SPEAKER_22
transcript.pyannote[3208].start 13399.81034375
transcript.pyannote[3208].end 13399.86096875
transcript.pyannote[3209].speaker SPEAKER_04
transcript.pyannote[3209].start 13410.76221875
transcript.pyannote[3209].end 13414.52534375
transcript.pyannote[3210].speaker SPEAKER_04
transcript.pyannote[3210].start 13416.24659375
transcript.pyannote[3210].end 13417.57971875
transcript.pyannote[3211].speaker SPEAKER_02
transcript.pyannote[3211].start 13417.57971875
transcript.pyannote[3211].end 13417.59659375
transcript.pyannote[3212].speaker SPEAKER_04
transcript.pyannote[3212].start 13429.07159375
transcript.pyannote[3212].end 13434.67409375
transcript.pyannote[3213].speaker SPEAKER_04
transcript.pyannote[3213].start 13435.24784375
transcript.pyannote[3213].end 13438.31909375
transcript.pyannote[3214].speaker SPEAKER_10
transcript.pyannote[3214].start 13436.69909375
transcript.pyannote[3214].end 13443.95534375
transcript.pyannote[3215].speaker SPEAKER_04
transcript.pyannote[3215].start 13439.01096875
transcript.pyannote[3215].end 13440.32721875
transcript.pyannote[3216].speaker SPEAKER_04
transcript.pyannote[3216].start 13444.10721875
transcript.pyannote[3216].end 13444.41096875
transcript.pyannote[3217].speaker SPEAKER_22
transcript.pyannote[3217].start 13444.41096875
transcript.pyannote[3217].end 13444.42784375
transcript.pyannote[3218].speaker SPEAKER_10
transcript.pyannote[3218].start 13444.42784375
transcript.pyannote[3218].end 13448.25846875
transcript.pyannote[3219].speaker SPEAKER_22
transcript.pyannote[3219].start 13445.87909375
transcript.pyannote[3219].end 13445.91284375
transcript.pyannote[3220].speaker SPEAKER_04
transcript.pyannote[3220].start 13445.91284375
transcript.pyannote[3220].end 13447.41471875
transcript.pyannote[3221].speaker SPEAKER_10
transcript.pyannote[3221].start 13448.54534375
transcript.pyannote[3221].end 13452.52784375
transcript.pyannote[3222].speaker SPEAKER_04
transcript.pyannote[3222].start 13451.80221875
transcript.pyannote[3222].end 13459.02471875
transcript.pyannote[3223].speaker SPEAKER_04
transcript.pyannote[3223].start 13459.76721875
transcript.pyannote[3223].end 13461.15096875
transcript.pyannote[3224].speaker SPEAKER_04
transcript.pyannote[3224].start 13461.48846875
transcript.pyannote[3224].end 13465.42034375
transcript.pyannote[3225].speaker SPEAKER_04
transcript.pyannote[3225].start 13465.57221875
transcript.pyannote[3225].end 13473.97596875
transcript.pyannote[3226].speaker SPEAKER_10
transcript.pyannote[3226].start 13471.29284375
transcript.pyannote[3226].end 13471.57971875
transcript.pyannote[3227].speaker SPEAKER_10
transcript.pyannote[3227].start 13472.84534375
transcript.pyannote[3227].end 13500.35159375
transcript.pyannote[3228].speaker SPEAKER_04
transcript.pyannote[3228].start 13500.43596875
transcript.pyannote[3228].end 13508.90721875
transcript.pyannote[3229].speaker SPEAKER_04
transcript.pyannote[3229].start 13509.07596875
transcript.pyannote[3229].end 13511.03346875
transcript.pyannote[3230].speaker SPEAKER_04
transcript.pyannote[3230].start 13511.25284375
transcript.pyannote[3230].end 13513.68284375
transcript.pyannote[3231].speaker SPEAKER_04
transcript.pyannote[3231].start 13513.91909375
transcript.pyannote[3231].end 13516.53471875
transcript.pyannote[3232].speaker SPEAKER_04
transcript.pyannote[3232].start 13516.80471875
transcript.pyannote[3232].end 13517.49659375
transcript.pyannote[3233].speaker SPEAKER_04
transcript.pyannote[3233].start 13517.71596875
transcript.pyannote[3233].end 13518.57659375
transcript.pyannote[3234].speaker SPEAKER_04
transcript.pyannote[3234].start 13518.84659375
transcript.pyannote[3234].end 13519.45409375
transcript.pyannote[3235].speaker SPEAKER_04
transcript.pyannote[3235].start 13519.62284375
transcript.pyannote[3235].end 13521.88409375
transcript.pyannote[3236].speaker SPEAKER_04
transcript.pyannote[3236].start 13521.96846875
transcript.pyannote[3236].end 13525.37721875
transcript.pyannote[3237].speaker SPEAKER_04
transcript.pyannote[3237].start 13525.51221875
transcript.pyannote[3237].end 13527.04784375
transcript.pyannote[3238].speaker SPEAKER_04
transcript.pyannote[3238].start 13527.36846875
transcript.pyannote[3238].end 13528.43159375
transcript.pyannote[3239].speaker SPEAKER_04
transcript.pyannote[3239].start 13528.75221875
transcript.pyannote[3239].end 13531.78971875
transcript.pyannote[3240].speaker SPEAKER_04
transcript.pyannote[3240].start 13532.26221875
transcript.pyannote[3240].end 13532.75159375
transcript.pyannote[3241].speaker SPEAKER_04
transcript.pyannote[3241].start 13532.92034375
transcript.pyannote[3241].end 13534.13534375
transcript.pyannote[3242].speaker SPEAKER_04
transcript.pyannote[3242].start 13534.52346875
transcript.pyannote[3242].end 13535.90721875
transcript.pyannote[3243].speaker SPEAKER_04
transcript.pyannote[3243].start 13536.75096875
transcript.pyannote[3243].end 13537.54409375
transcript.pyannote[3244].speaker SPEAKER_14
transcript.pyannote[3244].start 13537.69596875
transcript.pyannote[3244].end 13541.27346875
transcript.pyannote[3245].speaker SPEAKER_04
transcript.pyannote[3245].start 13539.58596875
transcript.pyannote[3245].end 13540.34534375
transcript.pyannote[3246].speaker SPEAKER_10
transcript.pyannote[3246].start 13541.27346875
transcript.pyannote[3246].end 13543.66971875
transcript.pyannote[3247].speaker SPEAKER_04
transcript.pyannote[3247].start 13542.03284375
transcript.pyannote[3247].end 13545.34034375
transcript.pyannote[3248].speaker SPEAKER_10
transcript.pyannote[3248].start 13544.71596875
transcript.pyannote[3248].end 13549.27221875
transcript.pyannote[3249].speaker SPEAKER_04
transcript.pyannote[3249].start 13549.57596875
transcript.pyannote[3249].end 13552.10721875
transcript.pyannote[3250].speaker SPEAKER_10
transcript.pyannote[3250].start 13549.89659375
transcript.pyannote[3250].end 13549.91346875
transcript.pyannote[3251].speaker SPEAKER_10
transcript.pyannote[3251].start 13549.94721875
transcript.pyannote[3251].end 13554.13221875
transcript.pyannote[3252].speaker SPEAKER_04
transcript.pyannote[3252].start 13552.73159375
transcript.pyannote[3252].end 13556.42721875
transcript.pyannote[3253].speaker SPEAKER_10
transcript.pyannote[3253].start 13556.62971875
transcript.pyannote[3253].end 13557.76034375
transcript.pyannote[3254].speaker SPEAKER_04
transcript.pyannote[3254].start 13557.16971875
transcript.pyannote[3254].end 13558.48596875
transcript.pyannote[3255].speaker SPEAKER_10
transcript.pyannote[3255].start 13558.31721875
transcript.pyannote[3255].end 13559.16096875
transcript.pyannote[3256].speaker SPEAKER_04
transcript.pyannote[3256].start 13559.27909375
transcript.pyannote[3256].end 13562.51909375
transcript.pyannote[3257].speaker SPEAKER_04
transcript.pyannote[3257].start 13563.97034375
transcript.pyannote[3257].end 13565.62409375
transcript.pyannote[3258].speaker SPEAKER_14
transcript.pyannote[3258].start 13564.15596875
transcript.pyannote[3258].end 13570.34909375
transcript.pyannote[3259].speaker SPEAKER_22
transcript.pyannote[3259].start 13566.67034375
transcript.pyannote[3259].end 13566.78846875
transcript.pyannote[3260].speaker SPEAKER_04
transcript.pyannote[3260].start 13566.78846875
transcript.pyannote[3260].end 13574.07846875
transcript.pyannote[3261].speaker SPEAKER_04
transcript.pyannote[3261].start 13574.36534375
transcript.pyannote[3261].end 13575.12471875
transcript.pyannote[3262].speaker SPEAKER_04
transcript.pyannote[3262].start 13575.47909375
transcript.pyannote[3262].end 13582.14471875
transcript.pyannote[3263].speaker SPEAKER_10
transcript.pyannote[3263].start 13581.62159375
transcript.pyannote[3263].end 13587.37596875
transcript.pyannote[3264].speaker SPEAKER_04
transcript.pyannote[3264].start 13582.93784375
transcript.pyannote[3264].end 13583.02221875
transcript.pyannote[3265].speaker SPEAKER_04
transcript.pyannote[3265].start 13583.03909375
transcript.pyannote[3265].end 13583.17409375
transcript.pyannote[3266].speaker SPEAKER_04
transcript.pyannote[3266].start 13583.20784375
transcript.pyannote[3266].end 13584.37221875
transcript.pyannote[3267].speaker SPEAKER_04
transcript.pyannote[3267].start 13585.06409375
transcript.pyannote[3267].end 13589.78909375
transcript.pyannote[3268].speaker SPEAKER_22
transcript.pyannote[3268].start 13590.63284375
transcript.pyannote[3268].end 13590.81846875
transcript.pyannote[3269].speaker SPEAKER_04
transcript.pyannote[3269].start 13591.13909375
transcript.pyannote[3269].end 13591.96596875
transcript.pyannote[3270].speaker SPEAKER_22
transcript.pyannote[3270].start 13591.96596875
transcript.pyannote[3270].end 13593.70409375
transcript.pyannote[3271].speaker SPEAKER_04
transcript.pyannote[3271].start 13592.03346875
transcript.pyannote[3271].end 13592.43846875
transcript.pyannote[3272].speaker SPEAKER_22
transcript.pyannote[3272].start 13594.54784375
transcript.pyannote[3272].end 13598.02409375
transcript.pyannote[3273].speaker SPEAKER_22
transcript.pyannote[3273].start 13598.39534375
transcript.pyannote[3273].end 13599.86346875
transcript.pyannote[3274].speaker SPEAKER_22
transcript.pyannote[3274].start 13600.26846875
transcript.pyannote[3274].end 13603.18784375
transcript.pyannote[3275].speaker SPEAKER_10
transcript.pyannote[3275].start 13602.39471875
transcript.pyannote[3275].end 13622.47596875
transcript.pyannote[3276].speaker SPEAKER_05
transcript.pyannote[3276].start 13609.00971875
transcript.pyannote[3276].end 13609.44846875
transcript.pyannote[3277].speaker SPEAKER_15
transcript.pyannote[3277].start 13609.44846875
transcript.pyannote[3277].end 13609.85346875
transcript.pyannote[3278].speaker SPEAKER_15
transcript.pyannote[3278].start 13609.88721875
transcript.pyannote[3278].end 13609.97159375
transcript.pyannote[3279].speaker SPEAKER_16
transcript.pyannote[3279].start 13609.97159375
transcript.pyannote[3279].end 13610.00534375
transcript.pyannote[3280].speaker SPEAKER_15
transcript.pyannote[3280].start 13610.00534375
transcript.pyannote[3280].end 13610.34284375
transcript.pyannote[3281].speaker SPEAKER_04
transcript.pyannote[3281].start 13619.89409375
transcript.pyannote[3281].end 13628.12909375
transcript.pyannote[3282].speaker SPEAKER_04
transcript.pyannote[3282].start 13628.29784375
transcript.pyannote[3282].end 13630.45784375
transcript.pyannote[3283].speaker SPEAKER_04
transcript.pyannote[3283].start 13630.89659375
transcript.pyannote[3283].end 13638.08534375
transcript.pyannote[3284].speaker SPEAKER_10
transcript.pyannote[3284].start 13638.08534375
transcript.pyannote[3284].end 13646.89409375
transcript.pyannote[3285].speaker SPEAKER_04
transcript.pyannote[3285].start 13645.86471875
transcript.pyannote[3285].end 13648.68284375
transcript.pyannote[3286].speaker SPEAKER_10
transcript.pyannote[3286].start 13647.19784375
transcript.pyannote[3286].end 13653.72846875
transcript.pyannote[3287].speaker SPEAKER_04
transcript.pyannote[3287].start 13649.84721875
transcript.pyannote[3287].end 13653.25596875
transcript.pyannote[3288].speaker SPEAKER_04
transcript.pyannote[3288].start 13653.99846875
transcript.pyannote[3288].end 13654.57221875
transcript.pyannote[3289].speaker SPEAKER_10
transcript.pyannote[3289].start 13655.19659375
transcript.pyannote[3289].end 13659.75284375
transcript.pyannote[3290].speaker SPEAKER_04
transcript.pyannote[3290].start 13655.21346875
transcript.pyannote[3290].end 13655.55096875
transcript.pyannote[3291].speaker SPEAKER_14
transcript.pyannote[3291].start 13657.23846875
transcript.pyannote[3291].end 13658.74034375
transcript.pyannote[3292].speaker SPEAKER_04
transcript.pyannote[3292].start 13658.74034375
transcript.pyannote[3292].end 13661.00159375
transcript.pyannote[3293].speaker SPEAKER_10
transcript.pyannote[3293].start 13660.34346875
transcript.pyannote[3293].end 13676.54346875
transcript.pyannote[3294].speaker SPEAKER_04
transcript.pyannote[3294].start 13672.78034375
transcript.pyannote[3294].end 13679.22659375
transcript.pyannote[3295].speaker SPEAKER_04
transcript.pyannote[3295].start 13679.44596875
transcript.pyannote[3295].end 13681.16721875
transcript.pyannote[3296].speaker SPEAKER_04
transcript.pyannote[3296].start 13681.33596875
transcript.pyannote[3296].end 13683.49596875
transcript.pyannote[3297].speaker SPEAKER_04
transcript.pyannote[3297].start 13683.86721875
transcript.pyannote[3297].end 13689.03096875
transcript.pyannote[3298].speaker SPEAKER_04
transcript.pyannote[3298].start 13689.62159375
transcript.pyannote[3298].end 13689.97596875
transcript.pyannote[3299].speaker SPEAKER_15
transcript.pyannote[3299].start 13689.65534375
transcript.pyannote[3299].end 13690.34721875
transcript.pyannote[3300].speaker SPEAKER_04
transcript.pyannote[3300].start 13690.09409375
transcript.pyannote[3300].end 13695.93284375
transcript.pyannote[3301].speaker SPEAKER_15
transcript.pyannote[3301].start 13690.53284375
transcript.pyannote[3301].end 13693.57034375
transcript.pyannote[3302].speaker SPEAKER_22
transcript.pyannote[3302].start 13695.83159375
transcript.pyannote[3302].end 13695.84846875
transcript.pyannote[3303].speaker SPEAKER_14
transcript.pyannote[3303].start 13695.84846875
transcript.pyannote[3303].end 13695.96659375
transcript.pyannote[3304].speaker SPEAKER_10
transcript.pyannote[3304].start 13695.96659375
transcript.pyannote[3304].end 13705.51784375
transcript.pyannote[3305].speaker SPEAKER_14
transcript.pyannote[3305].start 13698.41346875
transcript.pyannote[3305].end 13698.56534375
transcript.pyannote[3306].speaker SPEAKER_04
transcript.pyannote[3306].start 13699.32471875
transcript.pyannote[3306].end 13700.05034375
transcript.pyannote[3307].speaker SPEAKER_14
transcript.pyannote[3307].start 13700.05034375
transcript.pyannote[3307].end 13700.10096875
transcript.pyannote[3308].speaker SPEAKER_04
transcript.pyannote[3308].start 13701.73784375
transcript.pyannote[3308].end 13704.47159375
transcript.pyannote[3309].speaker SPEAKER_04
transcript.pyannote[3309].start 13705.51784375
transcript.pyannote[3309].end 13710.25971875
transcript.pyannote[3310].speaker SPEAKER_04
transcript.pyannote[3310].start 13710.85034375
transcript.pyannote[3310].end 13712.33534375
transcript.pyannote[3311].speaker SPEAKER_14
transcript.pyannote[3311].start 13710.95159375
transcript.pyannote[3311].end 13711.00221875
transcript.pyannote[3312].speaker SPEAKER_14
transcript.pyannote[3312].start 13712.41971875
transcript.pyannote[3312].end 13712.84159375
transcript.pyannote[3313].speaker SPEAKER_04
transcript.pyannote[3313].start 13712.97659375
transcript.pyannote[3313].end 13716.43596875
transcript.pyannote[3314].speaker SPEAKER_14
transcript.pyannote[3314].start 13715.65971875
transcript.pyannote[3314].end 13718.57909375
transcript.pyannote[3315].speaker SPEAKER_04
transcript.pyannote[3315].start 13717.87034375
transcript.pyannote[3315].end 13718.14034375
transcript.pyannote[3316].speaker SPEAKER_10
transcript.pyannote[3316].start 13718.14034375
transcript.pyannote[3316].end 13718.54534375
transcript.pyannote[3317].speaker SPEAKER_04
transcript.pyannote[3317].start 13718.54534375
transcript.pyannote[3317].end 13719.97971875
transcript.pyannote[3318].speaker SPEAKER_10
transcript.pyannote[3318].start 13718.57909375
transcript.pyannote[3318].end 13723.99596875
transcript.pyannote[3319].speaker SPEAKER_04
transcript.pyannote[3319].start 13723.38846875
transcript.pyannote[3319].end 13729.15971875
transcript.pyannote[3320].speaker SPEAKER_10
transcript.pyannote[3320].start 13729.51409375
transcript.pyannote[3320].end 13730.27346875
transcript.pyannote[3321].speaker SPEAKER_04
transcript.pyannote[3321].start 13729.71659375
transcript.pyannote[3321].end 13730.32409375
transcript.pyannote[3322].speaker SPEAKER_10
transcript.pyannote[3322].start 13730.69534375
transcript.pyannote[3322].end 13741.64721875
transcript.pyannote[3323].speaker SPEAKER_04
transcript.pyannote[3323].start 13732.02846875
transcript.pyannote[3323].end 13732.43346875
transcript.pyannote[3324].speaker SPEAKER_04
transcript.pyannote[3324].start 13740.41534375
transcript.pyannote[3324].end 13744.51596875
transcript.pyannote[3325].speaker SPEAKER_10
transcript.pyannote[3325].start 13742.32221875
transcript.pyannote[3325].end 13748.17784375
transcript.pyannote[3326].speaker SPEAKER_04
transcript.pyannote[3326].start 13745.20784375
transcript.pyannote[3326].end 13752.36284375
transcript.pyannote[3327].speaker SPEAKER_10
transcript.pyannote[3327].start 13749.69659375
transcript.pyannote[3327].end 13751.62034375
transcript.pyannote[3328].speaker SPEAKER_10
transcript.pyannote[3328].start 13752.58221875
transcript.pyannote[3328].end 13754.11784375
transcript.pyannote[3329].speaker SPEAKER_04
transcript.pyannote[3329].start 13753.49346875
transcript.pyannote[3329].end 13754.15159375
transcript.pyannote[3330].speaker SPEAKER_04
transcript.pyannote[3330].start 13755.11346875
transcript.pyannote[3330].end 13758.40409375
transcript.pyannote[3331].speaker SPEAKER_10
transcript.pyannote[3331].start 13756.68284375
transcript.pyannote[3331].end 13758.20159375
transcript.pyannote[3332].speaker SPEAKER_10
transcript.pyannote[3332].start 13758.94409375
transcript.pyannote[3332].end 13771.87034375
transcript.pyannote[3333].speaker SPEAKER_15
transcript.pyannote[3333].start 13762.28534375
transcript.pyannote[3333].end 13762.33596875
transcript.pyannote[3334].speaker SPEAKER_04
transcript.pyannote[3334].start 13762.33596875
transcript.pyannote[3334].end 13762.42034375
transcript.pyannote[3335].speaker SPEAKER_15
transcript.pyannote[3335].start 13762.42034375
transcript.pyannote[3335].end 13762.90971875
transcript.pyannote[3336].speaker SPEAKER_04
transcript.pyannote[3336].start 13762.90971875
transcript.pyannote[3336].end 13764.02346875
transcript.pyannote[3337].speaker SPEAKER_12
transcript.pyannote[3337].start 13764.02346875
transcript.pyannote[3337].end 13764.46221875
transcript.pyannote[3338].speaker SPEAKER_04
transcript.pyannote[3338].start 13764.46221875
transcript.pyannote[3338].end 13764.49596875
transcript.pyannote[3339].speaker SPEAKER_15
transcript.pyannote[3339].start 13764.49596875
transcript.pyannote[3339].end 13764.58034375
transcript.pyannote[3340].speaker SPEAKER_04
transcript.pyannote[3340].start 13765.37346875
transcript.pyannote[3340].end 13765.71096875
transcript.pyannote[3341].speaker SPEAKER_22
transcript.pyannote[3341].start 13770.08159375
transcript.pyannote[3341].end 13770.89159375
transcript.pyannote[3342].speaker SPEAKER_22
transcript.pyannote[3342].start 13771.27971875
transcript.pyannote[3342].end 13784.05409375
transcript.pyannote[3343].speaker SPEAKER_04
transcript.pyannote[3343].start 13772.57909375
transcript.pyannote[3343].end 13777.23659375
transcript.pyannote[3344].speaker SPEAKER_04
transcript.pyannote[3344].start 13778.83971875
transcript.pyannote[3344].end 13779.39659375
transcript.pyannote[3345].speaker SPEAKER_04
transcript.pyannote[3345].start 13779.51471875
transcript.pyannote[3345].end 13780.74659375
transcript.pyannote[3346].speaker SPEAKER_04
transcript.pyannote[3346].start 13781.25284375
transcript.pyannote[3346].end 13784.29034375
transcript.pyannote[3347].speaker SPEAKER_10
transcript.pyannote[3347].start 13784.05409375
transcript.pyannote[3347].end 13787.05784375
transcript.pyannote[3348].speaker SPEAKER_04
transcript.pyannote[3348].start 13786.38284375
transcript.pyannote[3348].end 13792.18784375
transcript.pyannote[3349].speaker SPEAKER_06
transcript.pyannote[3349].start 13790.66909375
transcript.pyannote[3349].end 13790.70284375
transcript.pyannote[3350].speaker SPEAKER_10
transcript.pyannote[3350].start 13790.70284375
transcript.pyannote[3350].end 13792.12034375
transcript.pyannote[3351].speaker SPEAKER_10
transcript.pyannote[3351].start 13792.18784375
transcript.pyannote[3351].end 13792.30596875
transcript.pyannote[3352].speaker SPEAKER_04
transcript.pyannote[3352].start 13792.30596875
transcript.pyannote[3352].end 13795.46159375
transcript.pyannote[3353].speaker SPEAKER_10
transcript.pyannote[3353].start 13792.32284375
transcript.pyannote[3353].end 13793.63909375
transcript.pyannote[3354].speaker SPEAKER_06
transcript.pyannote[3354].start 13793.63909375
transcript.pyannote[3354].end 13793.70659375
transcript.pyannote[3355].speaker SPEAKER_04
transcript.pyannote[3355].start 13795.78221875
transcript.pyannote[3355].end 13801.63784375
transcript.pyannote[3356].speaker SPEAKER_04
transcript.pyannote[3356].start 13802.19471875
transcript.pyannote[3356].end 13802.65034375
transcript.pyannote[3357].speaker SPEAKER_04
transcript.pyannote[3357].start 13803.13971875
transcript.pyannote[3357].end 13804.16909375
transcript.pyannote[3358].speaker SPEAKER_04
transcript.pyannote[3358].start 13804.79346875
transcript.pyannote[3358].end 13805.85659375
transcript.pyannote[3359].speaker SPEAKER_04
transcript.pyannote[3359].start 13806.61596875
transcript.pyannote[3359].end 13807.20659375
transcript.pyannote[3360].speaker SPEAKER_04
transcript.pyannote[3360].start 13807.37534375
transcript.pyannote[3360].end 13811.02034375
transcript.pyannote[3361].speaker SPEAKER_04
transcript.pyannote[3361].start 13811.39159375
transcript.pyannote[3361].end 13813.11284375
transcript.pyannote[3362].speaker SPEAKER_04
transcript.pyannote[3362].start 13813.43346875
transcript.pyannote[3362].end 13816.28534375
transcript.pyannote[3363].speaker SPEAKER_04
transcript.pyannote[3363].start 13816.50471875
transcript.pyannote[3363].end 13822.42784375
transcript.pyannote[3364].speaker SPEAKER_04
transcript.pyannote[3364].start 13822.69784375
transcript.pyannote[3364].end 13823.79471875
transcript.pyannote[3365].speaker SPEAKER_04
transcript.pyannote[3365].start 13824.13221875
transcript.pyannote[3365].end 13825.61721875
transcript.pyannote[3366].speaker SPEAKER_22
transcript.pyannote[3366].start 13825.61721875
transcript.pyannote[3366].end 13825.63409375
transcript.pyannote[3367].speaker SPEAKER_22
transcript.pyannote[3367].start 13826.10659375
transcript.pyannote[3367].end 13837.15971875
transcript.pyannote[3368].speaker SPEAKER_04
transcript.pyannote[3368].start 13828.87409375
transcript.pyannote[3368].end 13830.54471875
transcript.pyannote[3369].speaker SPEAKER_22
transcript.pyannote[3369].start 13837.64909375
transcript.pyannote[3369].end 13839.70784375
transcript.pyannote[3370].speaker SPEAKER_22
transcript.pyannote[3370].start 13840.11284375
transcript.pyannote[3370].end 13844.24721875
transcript.pyannote[3371].speaker SPEAKER_04
transcript.pyannote[3371].start 13840.72034375
transcript.pyannote[3371].end 13841.05784375
transcript.pyannote[3372].speaker SPEAKER_04
transcript.pyannote[3372].start 13842.27284375
transcript.pyannote[3372].end 13844.46659375
transcript.pyannote[3373].speaker SPEAKER_04
transcript.pyannote[3373].start 13844.83784375
transcript.pyannote[3373].end 13846.44096875
transcript.pyannote[3374].speaker SPEAKER_04
transcript.pyannote[3374].start 13846.60971875
transcript.pyannote[3374].end 13847.58846875
transcript.pyannote[3375].speaker SPEAKER_04
transcript.pyannote[3375].start 13848.71909375
transcript.pyannote[3375].end 13849.09034375
transcript.pyannote[3376].speaker SPEAKER_04
transcript.pyannote[3376].start 13849.54596875
transcript.pyannote[3376].end 13850.96346875
transcript.pyannote[3377].speaker SPEAKER_14
transcript.pyannote[3377].start 13850.87909375
transcript.pyannote[3377].end 13854.96284375
transcript.pyannote[3378].speaker SPEAKER_14
transcript.pyannote[3378].start 13855.36784375
transcript.pyannote[3378].end 13864.05846875
transcript.pyannote[3379].speaker SPEAKER_04
transcript.pyannote[3379].start 13860.51471875
transcript.pyannote[3379].end 13862.35409375
transcript.pyannote[3380].speaker SPEAKER_04
transcript.pyannote[3380].start 13863.58596875
transcript.pyannote[3380].end 13865.20596875
transcript.pyannote[3381].speaker SPEAKER_04
transcript.pyannote[3381].start 13865.35784375
transcript.pyannote[3381].end 13867.80471875
transcript.pyannote[3382].speaker SPEAKER_11
transcript.pyannote[3382].start 13876.59659375
transcript.pyannote[3382].end 13880.74784375
transcript.pyannote[3383].speaker SPEAKER_11
transcript.pyannote[3383].start 13881.05159375
transcript.pyannote[3383].end 13905.80721875
transcript.pyannote[3384].speaker SPEAKER_11
transcript.pyannote[3384].start 13905.99284375
transcript.pyannote[3384].end 13912.00034375
transcript.pyannote[3385].speaker SPEAKER_11
transcript.pyannote[3385].start 13914.10971875
transcript.pyannote[3385].end 13914.63284375
transcript.whisperx[0].start 39.973
transcript.whisperx[0].end 67.616
transcript.whisperx[0].text 歡迎歡迎我們繼續開會今天是逢正一月十五元宵節我們本月準備了大福甜點請在場的卓院長各位委員各位閣員單位家和家人來一起品嘗因為一場我們這個會期不太適合吃東西在這裡祝福卓院長各位閣員各位委員同仁大家在元宵佳節快樂何家必須進行質詢在休息時間我們元宵會發到各位閣員手上
transcript.whisperx[1].start 68.493
transcript.whisperx[1].end 94.523
transcript.whisperx[1].text 我們接下來請吳思瑤委員請質詢羅廷偉委員請準備好 謝謝韓院長有請卓院長 鄭副院長還有龔明星部長麻煩請卓院長 鄭副院長請備詢
transcript.whisperx[2].start 98.757
transcript.whisperx[2].end 99.778
transcript.whisperx[2].text 經濟部長請備選吳委員好也謝謝韓院長元宵節的祝福大家團圓一起快樂謝謝是 元宵節圓圓滿滿謝謝韓院長為大家所準備的甜點
transcript.whisperx[3].start 118.871
transcript.whisperx[3].end 141.763
transcript.whisperx[3].text 那今天的關稅談判呢我們也可以說是獲得了甜美的成果所以台灣is the best of the best台灣已經立於不敗之地既然我們勝券在握就要穩健守成我們不能自亂陣腳更不能夠前功盡棄所以說我們看下一頁
transcript.whisperx[4].start 142.887
transcript.whisperx[4].end 160.173
transcript.whisperx[4].text 其實早在我們1月15正式簽訂MOU2月12號簽訂ART我都多次的對外論述台灣關關難過關關過即便有在野朋友們的不斷唱衰甚至把關稅談判定調是國難
transcript.whisperx[5].start 163.174
transcript.whisperx[5].end 184.985
transcript.whisperx[5].text 但事實證明我們有了甜美的果實也就是我們的關稅協定創下了世界的三個第一以及三個唯一包括對美關稅15%不疊加與日韓歐盟並列第一而且這是美國貿易前五大逆差國的唯一的好成績
transcript.whisperx[6].start 186.058
transcript.whisperx[6].end 202.509
transcript.whisperx[6].text 第二個第一呢就是我們是全球獲得232條款最優惠待遇國家也是目前的唯一而第三個我們提出來的創新方案台灣模式以供應鏈合作為目標的自主投資
transcript.whisperx[7].start 203.47
transcript.whisperx[7].end 230.336
transcript.whisperx[7].text 注意是企業的自主投資跟日韓被要求是國家投資是不一樣的所以我們的臺灣模式也是世界第一更是世界的唯一所以要給予談判團隊合理公允的評價該給讚就給讚何況我們創造了三個第一跟三個唯一非常不容易下一頁其實不只這三個第一
transcript.whisperx[8].start 230.996
transcript.whisperx[8].end 245.952
transcript.whisperx[8].text 我們在透明公開接受國會監督這一項也是世界的only one and number one我們不只在談判過程當中就接受國會的要求用
transcript.whisperx[9].start 246.713
transcript.whisperx[9].end 271.157
transcript.whisperx[9].text 秘密會議的方式來揭露了台美的保密協議在去年的8月7號我們第一時間在8月份建置了網站供社會及產業可以清楚的因應有第一手的訊息包括去年8月25號跟今天3月3號是第二度兩度在國會談判中以及談判簽署結束
transcript.whisperx[10].start 271.597
transcript.whisperx[10].end 289.306
transcript.whisperx[10].text 我們都進行專案報告未來待美方確認之後我們也會把MOU跟ART一併送交國會來審查監督所以針對這四個number oneand only one我真的要大大的肯定但是呢
transcript.whisperx[11].start 290.495
transcript.whisperx[11].end 304.307
transcript.whisperx[11].text 今天的專案報告我們還是要具體的來回應在野黨委員的質疑其實真理是越辯越明的我非常仔細聆聽上午八位跨黨派委員的質詢其實兩個重點
transcript.whisperx[12].start 306.654
transcript.whisperx[12].end 322.984
transcript.whisperx[12].text 兩個重點第一個美方目前遭他們聯邦最高法院宣判違憲美方後續要進行的法律適用的一役那是美國人他們要努力的美國政府川普總統正在因應
transcript.whisperx[13].start 323.844
transcript.whisperx[13].end 350.911
transcript.whisperx[13].text 目前先用122條款來因應但未來面對美國的法律的疑義跟釋法性的解套這是美國政府努力的而台灣無權置喙我們要做的是妥善因應而在妥善因應的這個部分我要說今天早上三黨委員其實都已經驗證出一個真理
transcript.whisperx[14].start 351.792
transcript.whisperx[14].end 381.03
transcript.whisperx[14].text 就是確保最佳談判成果等同就是肯認目前的談判成果是最佳的委員一直在說是不是能夠爭取確保ART15%不疊加在業黨委員一直在要求力求要恢復2072項全貨免這不就驗證了我們的談判是最好的嗎所以針對我這些觀察院長或副院長有沒有簡要的回應
transcript.whisperx[15].start 382.421
transcript.whisperx[15].end 399.093
transcript.whisperx[15].text 委員的三個或是四個第一四個唯一非常的精闢委員的肯定我想政府院長以及楊振宜政府一定很謙虛我代替他們跟你說謝謝因為你的肯定就跟早上幾位委員一樣一直希望我們要堅持
transcript.whisperx[16].start 400.373
transcript.whisperx[16].end 426.816
transcript.whisperx[16].text 原來的ART內容是生效的而且繼續有效下去繼續爭取15%不疊加這個就是對整個談判團隊在這個階段所表現出來爭取談判結果予以高度的肯定那我們謝謝委員這個肯定接下來我們更重要的工作是跟美方繼續密切的聯繫確認也確保這樣的談判雙方協議的內容會繼續有效以確保我們國家跟產業的最大利益
transcript.whisperx[17].start 427.436
transcript.whisperx[17].end 452.885
transcript.whisperx[17].text 謝謝院長我稍後會讓副院長回應也就是說官官難過官官過當亂流來了我們要做的是回到座位上繫好安全帶而不是去改變正確的航行方向所以下一頁我們台灣有三有面對關稅談判就是政府有掌握政策有準備社會有底氣
transcript.whisperx[18].start 454.125
transcript.whisperx[18].end 469.667
transcript.whisperx[18].text 我們要確保這個三有是持續正向的推進而切莫未來我們絕對不能夠要的有三步第一個就是優惠待遇不打折對不對確保我們122
transcript.whisperx[19].start 471.129
transcript.whisperx[19].end 488.487
transcript.whisperx[19].text ART以及MOU的簽訂所以說以享有的優惠待遇不打折還有國會審議不拖延不延宕當然我們台灣不能夠成為毀約的一方關稅的協定不變卦不毀約
transcript.whisperx[20].start 489.588
transcript.whisperx[20].end 516.068
transcript.whisperx[20].text 面對這三有以及未來的三不我們的副院長您是不是也再一次對國會喊話最重要的就是國會審議不拖延讓台灣不會成為毀約或是被優惠待遇打折的那一方謝謝委員剛剛對於上個階段的談判成果的完整的說明非常謝謝委員的肯定那接下來我們要努力的目標就是如院長所說還有剛剛您所說的
transcript.whisperx[21].start 517.489
transcript.whisperx[21].end 544.483
transcript.whisperx[21].text 就是在後續美方他在透過一二條款後續重建他的法律工具基礎的過程當中我們確保優惠待遇不打折也就是鞏固我們原來的談判成果其實不只是我們努力的目標其實這幾天我們可以看到美國政府也逐步釋出類似的訊息像這兩天的貿易代表署他也表達說會在他們既有貿易法的基礎上
transcript.whisperx[22].start 546.725
transcript.whisperx[22].end 558.116
transcript.whisperx[22].text 來實現的協議內容所以我想我們雙方正在朝這個目標來努力我們正在緊密聯繫溝通當中包含視訊包含各種的聯絡方式我們都持續進行中
transcript.whisperx[23].start 558.706
transcript.whisperx[23].end 579.871
transcript.whisperx[23].text 所以說有掌握有準備就有底氣我們不打折不拖延就不毀約接下來我們來看民意確實也表態了我現在身兼民進黨政策會執行長這是我們二月份進行的民調台灣不分北中南東不分年齡
transcript.whisperx[24].start 581.383
transcript.whisperx[24].end 598.056
transcript.whisperx[24].text 超過74.1%的民意期待國會快速審議通過對美的關稅談判而不是在國會扯後腿搞破壞這是民意的展現我們甚至來看政黨支持者
transcript.whisperx[25].start 599.097
transcript.whisperx[25].end 621.645
transcript.whisperx[25].text 國民黨民眾黨的在野黨支持者也都高達五成六成希望國會不要惹事當然執政黨民進黨的支持者九成五是希望國會能夠快速來通過所以說雖然在野黨有人在倡議要重啟談判但這就是限國家於不義的
transcript.whisperx[26].start 623.345
transcript.whisperx[26].end 639.145
transcript.whisperx[26].text 愚蠢無知的做法這不是我說的這是藍營的有志之士劉寶潔黃偉漢甚至是許育仁前立委說的所以說現在世界各國有哪一個國家要重新談判要退回協議有嗎有這樣的訊息嗎
transcript.whisperx[27].start 642.308
transcript.whisperx[27].end 661.867
transcript.whisperx[27].text 目前是並沒有我想我們都說明得非常清楚我們上個階段ART跟MOU的談判結果就是未來面對美方新的替代政策工具下一個最有力的基礎美方也正表達說他們內部因應新的法律工具之後會來通知相關的貿易夥伴
transcript.whisperx[28].start 662.487
transcript.whisperx[28].end 683.452
transcript.whisperx[28].text 所以我想面對後續的新的政策工具底下這個已經達成協議的國家我們是能夠持續的來爭取鞏固結果那相對沒有達成協議的國家我們的推估是他們會面對後續不論301或其他法律工具可能更重的結果
transcript.whisperx[29].start 686.073
transcript.whisperx[29].end 714.642
transcript.whisperx[29].text 所以說呢下一頁美國不管從川普總統的國情咨文演說到財政部長Besant包括他們的貿易代表Gilead也都清楚的說明目前所有的國家跟企業都希望維持現有的貿易協議下一頁我們的主要競爭對象韓國日本包括英國也都強調他們的政府以及國會都會不受影響持續推進這是國際下一頁
transcript.whisperx[30].start 716.242
transcript.whisperx[30].end 736.779
transcript.whisperx[30].text 在台湾不管是工业总会不管是中小企业协会还包括我们学界的中华经济研究院台晶院的领导人都说了如果重谈台湾就是主动的撕毁协议我们应当确保战果而不是去捅马蜂窝
transcript.whisperx[31].start 737.459
transcript.whisperx[31].end 751.646
transcript.whisperx[31].text 這些都確立了我們就是繫好安全帶而不是改變航行的方向下一頁包括我要再一次感謝我過去的同事許育仁前立委他今天正在美國的國會聽證
transcript.whisperx[32].start 753.107
transcript.whisperx[32].end 771.257
transcript.whisperx[32].text 他的证词证言虽然是扣合这军购案但是他在关税谈判里头也表达了国民党有志之士共同的声音就是重新谈判是不治的包括刘宝杰他说的台湾不要做出愚蠢
transcript.whisperx[33].start 771.917
transcript.whisperx[33].end 800.559
transcript.whisperx[33].text 或是無知的決定如果把台灣推到川普的攝成把位的中心把台灣的優勢全部丟到水中去重啟談判這都是不智更是無知那我最後一部分要就教於拱部長事實上下一頁總統很早賴總統就已經撥話了國家長遠的戰略經貿的目標從過去的西進南向東拓我們要北合
transcript.whisperx[34].start 801.82
transcript.whisperx[34].end 824
transcript.whisperx[34].text 台湾加一就是美国跟台湾强化合作那这个打造非红供应链台湾要扮演全球半导体民主供应链的关键角色我认为这不只是关税谈判应验了这个方向这更是赖总统很早就破坏的经贸方向是正确的下一页
transcript.whisperx[35].start 824.821
transcript.whisperx[35].end 843.911
transcript.whisperx[35].text 民意也是這樣展現67.9%的人民是支持台灣未來在經貿方向上與美日合作只有18.9%希望能夠重回中國的懷抱這是民意我最後就交於拱部長
transcript.whisperx[36].start 844.972
transcript.whisperx[36].end 861.345
transcript.whisperx[36].text 赴美投資是世界的趨勢下一頁其實台灣不只不能落人後更要搶得先機事實上以近三年對美投資存量的成長率台灣還是大有空間比起其他國家下一頁而台積電即便
transcript.whisperx[37].start 863.604
transcript.whisperx[37].end 878.814
transcript.whisperx[37].text 赴美扩大的来设厂但是未来10年80%的先进制程都在台湾未来还有10个厂台积电跟流台湾所以我要就交于部长下一页
transcript.whisperx[38].start 879.614
transcript.whisperx[38].end 902.15
transcript.whisperx[38].text 投資台灣是正夯的我要請您幫我們向國人來論述我們招商的成績我們不只台商有能力跟留台灣之外投資全球我們向世界組成台灣隊去打世界盃事實上外商外資投資台灣這是2025年的招商成果
transcript.whisperx[39].start 902.87
transcript.whisperx[39].end 910.272
transcript.whisperx[39].text 1602億40%的廠家擴大在台灣營運規模40%的外商擴大在台的產能12%的外資是首度選擇來台投資8%要在台灣設立研發中心包括本席的選區我們迎來了揮打
transcript.whisperx[40].start 926.657
transcript.whisperx[40].end 948.132
transcript.whisperx[40].text 這是士林北投科技園區成為全世界AI產業的心臟最大的動能所以請您跟我們說明一下下一頁2025年我們的招商成果以及美商在台灣投資的成果來 舊教育部長八號委員 在台灣投資事實上它越來越多元化 國家也越來越多
transcript.whisperx[41].start 949.724
transcript.whisperx[41].end 968.923
transcript.whisperx[41].text 從金額上來講 事實上在馬英九政府的時候那時候8年的平均大概每一年資金從外國來的部分大概是50億美金2016年之後到目前為止平均大概超過100億以上 就是加了一倍這個只是講說資金從國外來的
transcript.whisperx[42].start 970.965
transcript.whisperx[42].end 989.973
transcript.whisperx[42].text 如果他在台灣賺了錢或在台灣借了錢再投資的部分那金額更大比如說來講這邊有提到比如說NVIDIA AMD或美光單單美光來講從過去到現在投資的金額就超過1兆台幣1.2兆而且他們在台灣30年的紮根將來還會再增加
transcript.whisperx[43].start 991.974
transcript.whisperx[43].end 1012.381
transcript.whisperx[43].text 所以說美商大舉來台也是史上新高不是台灣企業前進美國而已我們魚幫水 水幫魚強強聯手是我們在經貿路線正確下的斬獲在MOU及ART裡面都有雙向投資的條文是 所以我們要強化雙向投資的
transcript.whisperx[44].start 1030.224
transcript.whisperx[44].end 1032.665
transcript.whisperx[44].text 好 謝謝吳思堯委員 謝謝卓院長 鄭副院長 龔部長備詢 謝謝接下來我們請羅廷維委員質詢 何新淳委員請準備
transcript.whisperx[45].start 1049.693
transcript.whisperx[45].end 1054.163
transcript.whisperx[45].text 好 謝謝主席 有請我們卓院長麻煩再請卓院長備選
transcript.whisperx[46].start 1063.905
transcript.whisperx[46].end 1080.737
transcript.whisperx[46].text 各位好院長好 院長辛苦了不會 不會 大家努力方向一致我們有看到政府的努力但是我們希望好可以更好所以有一些事情想救教許多的問題也希望院長能夠清楚明確的給予一些承諾
transcript.whisperx[47].start 1081.67
transcript.whisperx[47].end 1106.763
transcript.whisperx[47].text 院長我想社會上很擔憂的是美方如果要求在基改食品進入校園沒有在這個部分的話有沒有談判到基改的部分完全沒有改變我們現在國內的消費的習慣跟市場的規矩完基改沒有是 所以未來也不可能會進入到我們的校園對嗎不會好 謝謝你那我想這個如果能夠獲得您百分百的一個承諾對於家長
transcript.whisperx[48].start 1108.204
transcript.whisperx[48].end 1134.079
transcript.whisperx[48].text 對於整個社會所擔憂的部分我們都希望能夠得到證實 感謝委員關心基改食品我們在談判中基改食品管理制度維持不變校園的學生學校衛生法也不會改變我們都是也在教育文化委員會也有提出擔憂當時當然不敢百分百的確認但是我們今天獲得兩方的承諾我想這個部分我們也給予肯定非常感謝
transcript.whisperx[49].start 1135.24
transcript.whisperx[49].end 1153.893
transcript.whisperx[49].text 院長 其實立法院目前正在審查台灣和美國的關稅協議的當下美國跟以色列兩國以及現階段伊朗的戰爭這無疑是台灣經貿發展的一個面臨最大的地緣政治的衝突以財經的角度來看
transcript.whisperx[50].start 1154.733
transcript.whisperx[50].end 1172.489
transcript.whisperx[50].text 我們現階段上面這兩件事情好像不太相關但是其實對於整個台灣經貿的發展影響巨大的一個黑天鵝如果再加上美股目前由科技七巨頭所引發的AI資本支出的一個黑洞這樣子的黑天鵝以及英國IN
transcript.whisperx[51].start 1173.57
transcript.whisperx[51].end 1197.305
transcript.whisperx[51].text NFS所抵押貸款的一個破產可能引發的雷曼兄弟的一個黑天鵝以及現在正在加速增溫的中日衝突黑天鵝疊加起來就有可能是台灣不可承受的一個黑天鵝我想在這樣子的狀況之下國際的情勢是瞬息萬變請問一下怎麼看待這些這麼多的一個黑天鵝
transcript.whisperx[52].start 1199.257
transcript.whisperx[52].end 1223.325
transcript.whisperx[52].text 國際很多形勢的發展是互相牽動這是沒有錯的這一次在中東地區的一個軍事的衝突對美國而言他必須花費一些時間去處理這些國際事務也就會讓他在處理跟其他國家談判的這個事情上面難免在實現上會有所衝突所以我們更有耐心的也更積極的向美方進行各種必要的
transcript.whisperx[53].start 1224.116
transcript.whisperx[53].end 1250.605
transcript.whisperx[53].text 緊密的聯繫希望能夠盡快的能夠確認我們已有的這種最優惠的待遇能夠得到確保那麼我們現在更讓我們感到要密切注意的是我們也責成經濟部跟中油跟台電對我們的整個能源的供應更要朝穩定多元開發的市場去做更多的嘗試那我們現在已經啟動了整個緊急應變的機制那這個是在戰爭之後所引發的另外一個國際上
transcript.whisperx[54].start 1251.966
transcript.whisperx[54].end 1273.105
transcript.whisperx[54].text 對我們現在國內民生以及產業上面極大的衝突那當然今天我們也看到股市的變化在美國跟其他幾個國家有重大的這個政策宣示改變的時候我們也會受到這個股市的變化的影響所以我們已經要求金管會財政部所有的財經單位緊密的注意
transcript.whisperx[55].start 1273.545
transcript.whisperx[55].end 1293.343
transcript.whisperx[55].text 那目前我們的股市經過前幾波的很強韌的這個漲勢體質是完好的那我們希望能夠在這條能撐住能夠穩定是股市未來的發展我想短期都會有震盪啦但是回歸到基本面但我想講的是在這麼多的黑天鵝當中有很多是政府和民間是無能為力的
transcript.whisperx[56].start 1294.059
transcript.whisperx[56].end 1315.841
transcript.whisperx[56].text 但是我們就要避免被颱風圍掃到但是目前我們可以看到台美關稅協議的是我們唯一政府當中是有機會掌握能夠好好處理的一個黑天鵝所以就叫剛剛我們要問的一個問題是請問一下院長在簽署這個台美關稅協議的時候是否能夠將上述外部的這些進行
transcript.whisperx[57].start 1316.281
transcript.whisperx[57].end 1334.97
transcript.whisperx[57].text 整體的一個壓力測試如果多隻的黑天鵝同時發生政府現行在實際可運用的財政空間以及整個產業的一個調適工具是否足以承接台美關稅協議新增的一個義務跟潛在的一個衝擊如果有做整體的一個壓力測試
transcript.whisperx[58].start 1336.371
transcript.whisperx[58].end 1363.082
transcript.whisperx[58].text 有沒有叫相關的報告呢好謝謝委員我們在去年4月2號美方在宣布對等關稅前後我們都做了一些產業影響評估那麼這一次在這個美國最高法院判決之後我們也進行再一次針對判決之後可能的變化又進行的產業影響評估那這個評估都在我們這個這個資料當中未來我們依照這個評估再加上
transcript.whisperx[59].start 1363.96
transcript.whisperx[59].end 1386.493
transcript.whisperx[59].text 進一步得到美方對現在所有談判內容的確認跟確保之後我們會進行行政院內部的作業完成之後會送請大院來進行同意相關的評估報告可不可以在會後也讓我們知道一下那我想今天其實上午大家都很關心其實像中部我們的這些很多的傳產大家都能夠感受到您的關心其實我們之前也有去拜訪過
transcript.whisperx[60].start 1387.675
transcript.whisperx[60].end 1412.382
transcript.whisperx[60].text 中科許多的廠商但是我們都希望今天早上聽好像是拱部長也有提到相關的一些關心的電話數萬通然後有辦了許多的一些關心的座談會我們還是希望不管是壓力測試的報告結果讓我們知道以外能夠再將後續的一些我們所謂的黑天鵝壓力測試以及相關的產業的評估公聽會是不是能夠多辦幾場
transcript.whisperx[61].start 1413.562
transcript.whisperx[61].end 1429.291
transcript.whisperx[61].text 以及中部的地區能夠多關心一下我想我們中部的所有的委員也都很關心這一類議題這個部分可以承諾嗎兩個部分一個我們跟產業進行的若干的這個座談會或是關懷的座談會這個部分我們都可以提供給我們的
transcript.whisperx[62].start 1430.1
transcript.whisperx[62].end 1458.465
transcript.whisperx[62].text 委員知道什麼時候進行了哪些產業至於這個影響的評估我認為我們需要在確定的時候那個影響的評估才出來否則會造成大家議論紛紛因為不確定會造成不必要的恐慌啦這個我們都不希望但是我想說如果能提供給我的部分的一些參考報告那這個部分再麻煩你可以嗎已經進行的過程我們會可以讓委員做報告好謝謝你那再來就是第二我們去年11月的時候在財政委員會其實我早就有善意的提醒
transcript.whisperx[63].start 1459.165
transcript.whisperx[63].end 1481.276
transcript.whisperx[63].text 在美國最高法院就川普援引IEPAR的時候我們法案所課徵的關稅是否違憲當時就有展開辯論那時候我就有提醒請政府審慎的評估關稅談判是否應該暫緩避免所謂的法律的一個風險但是我必須要講我不是說今天你們談判的結果全部都說不對
transcript.whisperx[64].start 1481.977
transcript.whisperx[64].end 1505.031
transcript.whisperx[64].text 在成跟敗之間我們沒有要去做一個定調但是我希望剛剛我所開宗明義就講的好可以更好所以我們希望當時間空間產生出來的時候政府應該要去利用這些所謂的空間來換以更多的一個談判機會那當然在這個過程當中你們也非常辛苦但我要講的是在野黨有講
transcript.whisperx[65].start 1506.294
transcript.whisperx[65].end 1526.459
transcript.whisperx[65].text 我們還是希望政府能夠多聽聽連執政黨自己的人講也希望這個部分當時行政院前副院長施俊吉早就勸台美簽貿易協定的時候在等美國的最高法院來判決
transcript.whisperx[66].start 1527.85
transcript.whisperx[66].end 1546.476
transcript.whisperx[66].text 也當時沒有特別去做聽取一個建議我們還是希望這八個字希望院長能夠指教一下我們當然有瞭解到當時社會的一些不同的意見或是各方的來各方的意見但是
transcript.whisperx[67].start 1546.909
transcript.whisperx[67].end 1567.161
transcript.whisperx[67].text 我們考慮到當時整個談判全世界談判的氛圍以及我們第一場談判現場跟美國進行談判的過程當中這個部分請政府院長來先我們說謝謝委員我想國會的監督我們都非常尊重各界的意見指教我們也都會虛心傾聽那不過在整個各國跟美國談判過程當中
transcript.whisperx[68].start 1567.681
transcript.whisperx[68].end 1594.93
transcript.whisperx[68].text 其實美國的訴訟程序一直在進行所以這個變數其實各國都面對那當然我們都會評估說高院判決的結果不過在這個過程當中美方政府也早已重申不論判決結果不利他們的關稅政策會延續只是他們會改變IPA替代性的這個法律工具所以各國仍然持續推進談判我國也不例外尤其我國的逆差在2024年是第六大739億
transcript.whisperx[69].start 1596.973
transcript.whisperx[69].end 1598.262
transcript.whisperx[69].text 在去年倍增到1500億
transcript.whisperx[70].start 1599.454
transcript.whisperx[70].end 1627.087
transcript.whisperx[70].text 所以後續談越久我方的風險是越高的那近來在高原判決之後川普總統本人跟貿易代表署格瑞爾大使等等都有對外說明那這個希望能夠在這個過渡122條款之後會有新的法律工具那屆時會這個也告訴我們會通知達成貿易夥伴國家那我們也推估沒有達成協議的國家後續面對可能301調查
transcript.whisperx[71].start 1628.388
transcript.whisperx[71].end 1654.141
transcript.whisperx[71].text 可能會面臨更高關稅的風險我想他們的法律工具不管是122或是301我們都知道他有很多種類可以去運作他們真的方向其實會延續所以面對這樣的評估我們認為推進談判達成協議還是一個面對後續變數的一個有利基礎也因此我們今天跟委員報告說我們有信心後續透過聯繫溝通來去持續的鞏固我們已經談到的一個最佳的一個待遇
transcript.whisperx[72].start 1654.301
transcript.whisperx[72].end 1683.662
transcript.whisperx[72].text 我想事實的提醒我們不做批判但是國人擔心的事情是產業過度集中單一市場的一個系統性風險台美關稅協議是否進一步提高台灣對單一市場整個的依存度這個也是我們所擔憂的行政院是否有提出市場分散以及供應鏈的一個多元化的一個配套策略而不是把所有的籌碼壓在美國我想這也是國人所擔憂的院長您覺得呢我們對產業的支持當中尤其經濟部所提的就有一個
transcript.whisperx[73].start 1685.21
transcript.whisperx[73].end 1705.488
transcript.whisperx[73].text 開發國際市場往多元這個部分在當時我們在拜訪台中所有的傳產的時候這有提出但是許多的特別預算許多的傳產業者他們也擔憂在這個條件的過程當中會不會是非常的嚴苛會不會不容易申請或是窗口這部分能不能多給予輔助這個部分我們還是要希望能夠帶到我們會盡量越簡化
transcript.whisperx[74].start 1707.352
transcript.whisperx[74].end 1722.319
transcript.whisperx[74].text 越便民越利於產業的需求因為產業是在渡難關不是給產業製造新的麻煩那當然利益良善那對於122條款150天期限後的一個變局我想政府目前有沒有什麼樣的一個預判
transcript.whisperx[75].start 1723.991
transcript.whisperx[75].end 1744.652
transcript.whisperx[75].text 我們已經跟美方取得聯繫那1月2日是一個階段性的一個行政命令那美方後續會有接續的相關的其他法律工具例如301調查當然我也密切關注是否可能還有其他法律工具不過我們雙方聯繫的一個目標就是不論後續替代性的法律工具為何
transcript.whisperx[76].start 1745.293
transcript.whisperx[76].end 1774.462
transcript.whisperx[76].text 那我們雙方過去談判達成的一個共識也就是台灣取得相對優勢的最大待遇我們希望能夠不變所以我們在後續聯繫就是要鞏固我們已經取得的一個談判的成果成果當然一定要守成這個部分我們絕對是無疑的我們也謝謝委員肯定這個前個階段ART相關跟MOU的談判成果是 應該的那我想自從2月19日呢IPA這個關稅被美國最高法院判決違法的時候
transcript.whisperx[77].start 1774.946
transcript.whisperx[77].end 1797.666
transcript.whisperx[77].text 我們不要說台灣廠商不知道怎麼因應連美國海關還有美國本土的企業都不知道怎麼辦所以據統計目前已經超過兩千多家美國大小企業集體上訴索賠這就引發一個問題台灣廠商在過去一年出口到美國的一個報價中有多少是受到這個違法違憲的一個關稅而付出的我們有沒有掌握
transcript.whisperx[78].start 1798.83
transcript.whisperx[78].end 1824.213
transcript.whisperx[78].text 這個請部長來說明 早上部長說明過對 因為包委員因為我們現在的大部分我們是生產商生產商是出口到美國的進口商他們進口商才去報關稅所以說如果要提出訴訟的話基本上是美國的進口商提出來但是我們會讓我們國內的廠商瞭解就是說在行政他們的法律程序上到底會怎麼進行
transcript.whisperx[79].start 1825.202
transcript.whisperx[79].end 1848.267
transcript.whisperx[79].text 如果進口商他有提出訴訟而得貨賠償的話那恐怕我們的廠商也可以跟這個進口商跟進有一個我們沒有辦法提告是我知道我知道但是他有一個相關的權益對可以稍微討論因為當初我們暫時性關係是20那很多廠商是跟進口商有對半說來負擔那如果
transcript.whisperx[80].start 1848.993
transcript.whisperx[80].end 1865.963
transcript.whisperx[80].text 得到了這個補償以後是不是那個獲得補償也可以對半分所以我想說這個廠商到底要怎麼主張自己的一個權益相關政府的一個部門要準備好怎麼樣協助他們這是我們關心的啦好不好就只要你有相關的策略跟具體措施協助他們
transcript.whisperx[81].start 1866.723
transcript.whisperx[81].end 1895.006
transcript.whisperx[81].text 這個部分我想從去年的財政委員會我們的提醒到現在我還是要再一次的提醒好不好就像您說的出口商去做索賠的一個動作但是如果他索賠到了有沒有可以對半分或是怎麼樣或者是要怎麼樣跟所謂的出口商來進行進一步的洽談這部分政府佔的角色我們希望還是能夠給予輔助這部分可以嗎可以我們就是透過宣導也好或是我們會請律師來跟這些廠商們有關心這些廠商們來
transcript.whisperx[82].start 1896.82
transcript.whisperx[82].end 1921.825
transcript.whisperx[82].text 說明這個程序上是怎麼進行的如果可以怎麼樣跟他的進口商有一些討論可以用什麼樣的方法來做一些討論或依據好那這樣子我要跟院長再講就是說已經打了整整四年的烏克蘭戰爭和剛剛爆發的伊朗戰爭明顯告訴我們無人機 機器人 衛星以及完整的上中下游都具備的工業鏈
transcript.whisperx[83].start 1922.965
transcript.whisperx[83].end 1943.079
transcript.whisperx[83].text 才是一個國家在面對非常時期戰爭衝突才能夠安然度過的護國神山群但毫無疑問無論科技、電子跟傳產等等其他類別的大小產業、廠商他們能夠承受關稅的衝擊黑天鵝的韌性我們都知道差別是有別的他們不可能每個人都有辦法承受
transcript.whisperx[84].start 1943.579
transcript.whisperx[84].end 1965.967
transcript.whisperx[84].text 一定程度的一個衝擊所以如果這些關稅協議的黑天鵝沒有幫那些承受衝擊較差的廠商保留下來活下來的一個機會將來面對台灣面對整個戰爭或者其他的重大衝擊的時候護國神山群會變得殘缺不全就更難從民用轉回軍用
transcript.whisperx[85].start 1983.054
transcript.whisperx[85].end 2001.005
transcript.whisperx[85].text 好 謝謝羅廷輝委員的資訊謝謝卓院長 政府院長 國務部長備詢 謝謝好 接下來我們請核心存文資訊吳宗憲委員請準備
transcript.whisperx[86].start 2012.239
transcript.whisperx[86].end 2016.28
transcript.whisperx[86].text 謝謝韓院長我們是不是請卓院長麻煩再請卓院長備詢何委員好卓院長辛苦了
transcript.whisperx[87].start 2028.789
transcript.whisperx[87].end 2053.602
transcript.whisperx[87].text 主委長 我想歷經了一整個上午到現在很多委員都在關心 梅伊開戰大家都非常的關心不管是物價 能源 還有財經狀況所以即使今天早上有很多委員都關心過這個議題我還想再進一步的請教主委院長第一個 我想有關民生經濟的就是物價的問題
transcript.whisperx[88].start 2054.542
transcript.whisperx[88].end 2068.677
transcript.whisperx[88].text 那卓院長有緊急召開六部會來開會全面警戒這個是媒體的用字那交付我們正副院長有關物價的任務那這個物價穩定的小組已經開會了嗎院長
transcript.whisperx[89].start 2072.016
transcript.whisperx[89].end 2099.919
transcript.whisperx[89].text 副院長在院內主要的像工作項目之一也是這個物價穩定的小組那昨天我們是說請他觀察這幾天這個中東地區的衝突事件影響到國內各項經濟的過程如果這個對於物價有異常的現象他要立刻走左手那今天我看副院長有沒有進行相關的昨天副院長就有具體的指示召開物價穩定小組我們已經排定明天早上開會
transcript.whisperx[90].start 2100.74
transcript.whisperx[90].end 2104.628
transcript.whisperx[90].text 明天早上開會對 在中東情誼日其實卓院長在週末的時候都
transcript.whisperx[91].start 2106.555
transcript.whisperx[91].end 2134.597
transcript.whisperx[91].text 即時的掌握整體的情勢交與各部會相關任務為什麼大家會這麼的關心我想民生經濟的物價穩定是最優先第一要務尤其牽涉到油氣供應的穩定跟價格的穩定這個都是息息相關所以我才會請卓院長跟鄭副院長真的是要謹慎以對而且要時時刻刻的掌握
transcript.whisperx[92].start 2135.357
transcript.whisperx[92].end 2157.725
transcript.whisperx[92].text 尤其今天的股市跌了771點請問一下國安基金會開會嗎今天沒有因為我們國安基金在1月23號才退場而且他有一長時間在讓我們的股市非常的強韌目前就前幾天而言我們股市的表現還是非常好
transcript.whisperx[93].start 2158.925
transcript.whisperx[93].end 2183.135
transcript.whisperx[93].text 一般而言這種戰爭也許他是局部短期的影響就會比較小現在我們預期他可能會有一段時間所以我們昨天的考慮是說他如果短期的就會影響比較小那如果他會持續下去尤其是今天美國跟其他國家展開比較有規模性的所謂撤僑行動所以造成我們股市也隨之有所波動所以我們會持續加強這個關注
transcript.whisperx[94].start 2184.668
transcript.whisperx[94].end 2200.796
transcript.whisperx[94].text 這個就是我跟很多委員都在關心的因為一開始大家認為可能是短暫時間不過看到媒體報導川普他發文他也自己說可能會維持三到四週甚至會有不確定性這個不確定性就是讓國人
transcript.whisperx[95].start 2202.817
transcript.whisperx[95].end 2218.182
transcript.whisperx[95].text 希望我們政府要做好萬全的準備各項都包含我剛剛講的物價 油氣的供應價格的穩定還有了股匯市的一個波動整個都影響到我們的信心問題
transcript.whisperx[96].start 2219.102
transcript.whisperx[96].end 2238.188
transcript.whisperx[96].text 包括剛有提到很多國家在中東地區已經開始大規模撤僑事實上早上也有其他委員問到我們卓院長有關當地僑胞跟國人的安全問題這一個因應的措施我也希望政府一定要第一個做好安全準備第二個
transcript.whisperx[97].start 2239.008
transcript.whisperx[97].end 2265.726
transcript.whisperx[97].text 各種不同形式的因應模式每一個方面通通都要小聲應對我想這個是希望卓院長跟我們行政院全體上下一致讓國人能夠對政府有信心能夠不變亦萬變世界的局勢在變有很多的變數不在我們的操控當中但是我們一定要有所準備所以我請卓院長跟各位
transcript.whisperx[98].start 2266.266
transcript.whisperx[98].end 2288.768
transcript.whisperx[98].text 之前我們還沒有考慮到像這樣子所謂比較大規模或系統性的所謂要撤銷但是早上外交部在這裡講我們持續對所有在當地區所有國家的國人我們的國人保持最緊密的一些了解多少人在哪裡那下一個階段整套的計畫我就會要求外交部做出來如果進行到某一個程度的時候我們會啟動下一個計畫
transcript.whisperx[99].start 2290.134
transcript.whisperx[99].end 2315.223
transcript.whisperx[99].text 但如果戰爭延續了一段時間對我們股匯市的一個波動的一個影響那我剛剛提到的國安基金會不會開會事實上是不是我們自己也要有心理上的準備我們會仿照過去那個經驗當股市波動到一定的程度之後我們認為國安基金如果有任何的合理的正當的意見來處理的話那麼我們會叫國安基金的委員來討論
transcript.whisperx[100].start 2316.793
transcript.whisperx[100].end 2334.843
transcript.whisperx[100].text 要拜託卓院長大家都辛苦但是這個一定是要穩定物價穩定是最重要的各項的準備措施是要穩定民心為最要務再拜託接下來今天我們在談的台美對的貿易協定ART事實上我要給我們的談判團隊一個大大的掌聲
transcript.whisperx[101].start 2336.083
transcript.whisperx[101].end 2362.236
transcript.whisperx[101].text 國人都非常的肯定那也真的是談出了一個好的結果15%不疊加加上232條款的優惠待遇以及在國家利益 產業利益來講對台灣來講都是談到最好的一個狀況但是因為遇到了美國最高法院的判決所以這個產生了不確定性當然我知道剛剛卓院長跟鄭副院長有回答其他的委員說
transcript.whisperx[102].start 2363.417
transcript.whisperx[102].end 2373.458
transcript.whisperx[102].text 這個不確定性是全世界各國都同樣的遭遇不是只有台灣大家都有這個不確定性但是也就是因為全世界
transcript.whisperx[103].start 2374.839
transcript.whisperx[103].end 2401.017
transcript.whisperx[103].text 還有台灣本身的這個不確定性的風險讓大家這個覺得是不是有一點點信心上的一個危機問題那這個我覺得產業要穩定那就必須要政府帶頭來給予最強而有力的一個一劑強心針所以我是必須要請卓院長跟正副院長我還是要再進一步來問不管再怎麼比從過去現在未來這個
transcript.whisperx[104].start 2405.24
transcript.whisperx[104].end 2426.075
transcript.whisperx[104].text 這個暫時性的對等關稅是過去的那我們已經談定簽訂的根據122條款所有的這個現在加未來那我是想請問一下這個我們到底何時可以跟美方完成確定因為呢從早上到現在這副院長的回應一向都是說我們的現在
transcript.whisperx[105].start 2427.136
transcript.whisperx[105].end 2450.427
transcript.whisperx[105].text 即使已經簽訂那為什麼還沒有送到立法院是因為我們還在持續跟美方確認溝通 確認我覺得這個時間長短影響很大 這第一個第二個 我們在這一個過渡時期到底跟美方談判或者是洽談的情形是什麼第三個到底預計什麼時候要送交立法院審議
transcript.whisperx[106].start 2451.883
transcript.whisperx[106].end 2476.918
transcript.whisperx[106].text 上午卓院長回憶是說我看媒體的在我們立法院的電視上看到你在這裡回應其他委員說美國有承諾會依序與已簽約國來通知來談我就聽不懂這個依序的意思到底是什麼也許卓院長或鄭副院長可以再跟我們說明得更清楚
transcript.whisperx[107].start 2477.625
transcript.whisperx[107].end 2503.654
transcript.whisperx[107].text 我們早上的講法是說美方的政府團隊正在研議後續的做法完成後將通知包括我國在內的已簽署貿易協議的國家我們跟一些已簽署的國家在內他完成他內部的法律途徑法律工具的變更之後他會通知這些國家一次都通知各個已簽約國家還是一個一個來
transcript.whisperx[108].start 2505.178
transcript.whisperx[108].end 2532.547
transcript.whisperx[108].text 這個美國的做法我們當然沒有辦法我想院長跟副院長這個其實是有差異的這個差異是在於時間點因為時間拖得越久不確定性越高國人的風險意識就更高這個我覺得如果可以的話我們要想盡辦法良善全力的去溝通讓美方可以明確的告訴我們這樣子的一個
transcript.whisperx[109].start 2534.169
transcript.whisperx[109].end 2552.002
transcript.whisperx[109].text 確定到底什麼時候可以有好的結果談判團隊跟美方已經有正式的取得密切的聯繫那這方面副院長委員報告我們之前是20加MFN那122行政命令先公佈的是10加MFN
transcript.whisperx[110].start 2553.143
transcript.whisperx[110].end 2569.642
transcript.whisperx[110].text 當然川普總統有時候可能會提到到15那就要看他們後續進一步的公佈那122是過渡性接著會有可能301或其他那我們的確有跟美方取得聯繫包含跟USTR美國貿易代表署以及商務部都有持續聯繫溝通當中
transcript.whisperx[111].start 2571.324
transcript.whisperx[111].end 2600.414
transcript.whisperx[111].text 現在的確取決於美方內部對於122後續他們要做比較長久性的相關法律基礎的安排他們內部正在研議當中不過他們也有表達當他們研議之後走向清楚之後會通知相關的貿易夥伴所以我想當時包含像我們台灣 日韓 歐盟等等我們取得相對優勢的國家我們當然也期待也會努力他們持續鞏固給我們相對優勢的一個最佳待遇
transcript.whisperx[112].start 2600.954
transcript.whisperx[112].end 2626.797
transcript.whisperx[112].text 這是我方已經清楚的表達那我們就持續聯絡但美方有任何的新的訊息跟進度我們都會跟這個社會跟產業來說明所以我們努力的目標就是希望能夠在後續政策變動中鞏固到我們原來談判的成果那也在這個變動過程當中透明 公開讓產業能夠比較知道未來可能的發展來減緩不確定性以及可能的衝擊
transcript.whisperx[113].start 2627.978
transcript.whisperx[113].end 2647.313
transcript.whisperx[113].text 對我們希望盡快不然以現在這個所謂還有為期150天那表示還有5個月那這5個月當中到底是多久到底是多快這個其實是產業界跟國人的期待我們也都有向美方表達那的確但是美方還沒決定的事情我就沒有辦法當然我們沒有辦法
transcript.whisperx[114].start 2648.013
transcript.whisperx[114].end 2674.474
transcript.whisperx[114].text 幫他做任何的說明所以我說你很辛苦上個階段我們也是一一克服很多變數跟挑戰我想我們上個階段也是這樣子走到我們爭取到一定的成果接下來同樣的目標目的政府院長比任何一個人都更希望及早確認所有談判所得到的最佳的待遇我們能夠維持下來也比任何一個人希望更快的確定這件事情
transcript.whisperx[115].start 2674.694
transcript.whisperx[115].end 2690.865
transcript.whisperx[115].text 雖然我說大家都很辛苦但是產業也很辛苦因為在這個等待期或是不確定的期間拖得越久產業的這個競爭力它相對的就會受到更多的影響沒錯 我們都了解過去一段時間我們產業面對的辛苦
transcript.whisperx[116].start 2692.686
transcript.whisperx[116].end 2711.202
transcript.whisperx[116].text 所以更需要政府除了在談判在台美協定的確認上能夠速度快一點我們也希望政府的政策引導當然我要謝謝卓院長我接下來就談卓院長過去就曾經跟國人分享台中精密智慧新核心
transcript.whisperx[117].start 2711.622
transcript.whisperx[117].end 2731.249
transcript.whisperx[117].text 我們政府有推動方案就是希望厚植我們中部的產業政策的引導資源的投入提升產業的國際競爭力這很重要扣住剛剛我們所講的在不確定性的時間過渡期如果能夠有政府的大力支持跟輔導
transcript.whisperx[118].start 2733.03
transcript.whisperx[118].end 2760.502
transcript.whisperx[118].text 讓產業界有一個方向可循可提升自我的競爭力我想這個是我們現階段政府自己本身要做的中央有提了三大策略一個核心產業的雙軸轉型數位跟低碳的轉型一個是現有的核心再造新核心接著是希望利用法人來驅動產業創新運用AI 導入AI這三大策略基本上我予以肯定
transcript.whisperx[119].start 2760.982
transcript.whisperx[119].end 2784.546
transcript.whisperx[119].text 但是我過去一直提醒行政院也提醒經濟部我們希望政府的投資第一個要有效運用第三個要確實到位而且希望是整個產業鏈裡面尤其我跟中部其他委員都一樣關心中部最多的機械工具機汽車五金零件手工具等等這些過去所謂的傳統產業其實他們都願意
transcript.whisperx[120].start 2787.927
transcript.whisperx[120].end 2810.463
transcript.whisperx[120].text 科技化 數位化 智慧化能夠再造自己的競爭力這個時候需要政府大力的支持包括AI的導入事實上AI的導入很多的中小企業他們是願意的但是現在它變成內外夾擊外部的國際形勢這麼的不確定性導致他們的訂單是不是會有一個業績上的不確定性內部又面臨了
transcript.whisperx[121].start 2817.768
transcript.whisperx[121].end 2840.296
transcript.whisperx[121].text 我對於政府的這些的支持資源我到底能不能拿得到我到底能不能跟著政府的一個輔導的力量我也可以自我提升我覺得這內外之間政府就必須要做好一個很好的什麼角色這個角色就是真的帶著他們往上提升而這個就牽涉到我現在要跟院長跟
transcript.whisperx[122].start 2842.838
transcript.whisperx[122].end 2857.57
transcript.whisperx[122].text 副院長跟部長拜託的我們希望台中的產業創新還有三支箭第一個我剛剛講資源要到位我當然感謝朝野都支持特別預算韌性的一個支持方案投入了930億
transcript.whisperx[123].start 2859.171
transcript.whisperx[123].end 2876.99
transcript.whisperx[123].text 我也希望台中國際會展中心的二期我們中央有支持現在還沒有動工未來也希望行政院大力支持賴總統前一次到台中會展中心一館開展的時候
transcript.whisperx[124].start 2877.41
transcript.whisperx[124].end 2905.854
transcript.whisperx[124].text 他就提到全力的支持二期的一個建設第三個我希望產業要轉型人才也要跟著創新來培育所以強化投資 技職 教育人才這是我們必須要做的一個核心價值台灣的競爭力台中的競爭力在於人才人才的培育是一個國本所以這三支鍵我希望院長可以承諾大力的來支持台中可以嗎
transcript.whisperx[125].start 2906.294
transcript.whisperx[125].end 2930.437
transcript.whisperx[125].text 好 這個會展中心第二期我們已經核定會經由委辦的方式應該下半年就可以展開招標的作業那培育人才當然是最重要的人才要有充裕因為台中這個就是我們傳統的精密製造中核心地帶那我們為了讓他雙軸轉型 淨零跟數位轉型所以在核心加上一個智慧化的核心讓他算為雙核心
transcript.whisperx[126].start 2952.183
transcript.whisperx[126].end 2954.104
transcript.whisperx[126].text 好 謝謝何欣淳委員質詢 謝謝左院長 曾副院長 謝謝董部長 謝謝貝徐 謝謝
transcript.whisperx[127].start 2967.498
transcript.whisperx[127].end 2984.45
transcript.whisperx[127].text 接下來我們請吳宗憲委員請質詢賴惠元委員請準備謝謝院長 我們麻煩院長麻煩再請卓院長備詢
transcript.whisperx[128].start 2995.578
transcript.whisperx[128].end 3022.839
transcript.whisperx[128].text 好 院長好那個諮詢開始之前我還是先代表宜蘭的鄉親對院長表達肯定還有感謝過年那個時候院長有特別有拍板定案就是宜蘭到羅東的這個高價化的這個計畫那當然我們希望就是說今年是馬年那接下來我們可以快馬加鞭能夠趕快讓這個計畫能夠趕快促成否則那個當地這個線內的交通還是有蠻
transcript.whisperx[129].start 3023.96
transcript.whisperx[129].end 3048.334
transcript.whisperx[129].text 蠻多大家有很多的抱怨那另外也對於這個行政團隊的感謝因為過去一年我其實我一直積極在推動幾個東西那行政團隊也給我蠻多的幫助就像那個國道5號那個東山交流道還有這個南方澳漁港的那個漁船上架場的設置行政團隊其實都有給予蠻多協助的這個部分先謝謝院長那另外對於這一次那個基層經貿談判團隊在美國壓力下
transcript.whisperx[130].start 3050.615
transcript.whisperx[130].end 3053.544
transcript.whisperx[130].text 那還能夠盡力的為台灣爭取一些
transcript.whisperx[131].start 3054.42
transcript.whisperx[131].end 3080.061
transcript.whisperx[131].text 那個空間這部分我們當然是也是要予以對於這個辛勞給予肯定這部分先跟院長報告那院長我想今天我們提到我們來談這個ART的事情那依據這個條約締結法我國條約締結法那這個ART那個台美對等貿易協定這個本來就是要送到立法院審查所以今天我們才會一起在這個地方那這個當然也是國會實質審查的一環
transcript.whisperx[132].start 3081.6
transcript.whisperx[132].end 3106.487
transcript.whisperx[132].text 這次比較意外的就是說美國司法對於IPA的違憲美方現在又改用這1974的貿易法案第122條的這有關臨時關稅的徵收甚至現在還有說法就是說可能會上調到15所以當然立法委員的立場我們當然是要替全國人民把關
transcript.whisperx[133].start 3107.489
transcript.whisperx[133].end 3124.194
transcript.whisperx[133].text 那院長在2月21號你們的官網有寫到這個臨時性的關稅10%這個部分你們認為說衝擊影響有限而且你們都會持續的關注當然你們還有再提到就是說將來我們可能還會面臨到
transcript.whisperx[134].start 3125.853
transcript.whisperx[134].end 3151.283
transcript.whisperx[134].text 301條款或是232條款的這些問題所以等於是外部的風險以及非常多的不確定性都還在持續的上升那美國他們的法源也在翻轉中但是你也是一直呼籲說國人要相信美方相信這個協議會被尊重那在我的立場我當然會擔心說我們會不會搞到最後這個對等變成是美國說了算美國說了就叫做對等
transcript.whisperx[135].start 3152.023
transcript.whisperx[135].end 3170.683
transcript.whisperx[135].text 這是我的擔心這是我對於未來的擔心那再來就是您的報告也寫得很清楚就是美方還在研議中研議完會通知我們那不就代表目前還沒有一個具體的做法他們的具體做法我們還不知道那現在如果說要我們相信或叫國會背書
transcript.whisperx[136].start 3171.724
transcript.whisperx[136].end 3194.597
transcript.whisperx[136].text 那我也會擔心說那這個是對等嗎這個會不會是更高的一個風險所以我們今天一直講說我們要相信美方我們要積極爭取但是這個部分我是希望能夠提供您希望您能夠就兩個部分能夠再用力再給我們一些答覆但第一個在目前LRT的基礎上面有沒有把10%這個部分還有
transcript.whisperx[137].start 3197.779
transcript.whisperx[137].end 3222.858
transcript.whisperx[137].text 上調到15%將來有可能性這個臨時關稅上調15%或者是有可能轉向301對中長期的這個風險情境的評估一起納入這個產業的衝擊報告的評估裡面因為我看到你們有提到有智庫那這個部分我想這幾個情境的風險還是要讓國人知道好不好這個部分要請人要做到
transcript.whisperx[138].start 3224.892
transcript.whisperx[138].end 3251.249
transcript.whisperx[138].text 第二個就是說這個對等的意思啊如果是將來美方如果違反這個協定的話那我們的我們的底牌在哪裡我們有什麼武器可以因應我們的反制工具是什麼那這個反制工具多久內可以啟動這個部分也是我所希望知道的那到底我要來確認一下我們這個ART到底有沒有如同他的名詞所說的是一個對等
transcript.whisperx[139].start 3252.657
transcript.whisperx[139].end 3277.547
transcript.whisperx[139].text 我是比較在意這個部分因為我看了一下那個經濟日報的社論其實他有提到他是說什麼台灣跟ART期存在一些誤判的問題而且這是很多產業界擔心的因為他們總是擔心說一下拉高這一下提高那個會不會將來他的利潤會被吃乾媽淨這個是大家所擔心的沒關係我等一下會把一些問題提出來
transcript.whisperx[140].start 3279.418
transcript.whisperx[140].end 3305.119
transcript.whisperx[140].text 再來就是我們這次那個協定的7.4條的第二項其實有一個這個你們看一下那個PowerPoint上面有他其實有提到這是協定的內容其實不應限制或以其他方式阻礙一方代表或領域或當局為糾正不公平貿易的行為應進行的進口激增等等這些
transcript.whisperx[141].start 3308.8
transcript.whisperx[141].end 3325.345
transcript.whisperx[141].text 類似你們看這個文字好了我就不再念出來那這個問題是出在說因為這個第二項寫的很清楚不應阻礙或那個限制一方代表那這個一方就代表不是只有美方我方也可以嘛對不對我想這個很清楚
transcript.whisperx[142].start 3325.945
transcript.whisperx[142].end 3353.423
transcript.whisperx[142].text 對不對 院長是這樣嗎這個讓副院長來說明因為談判的每一個條文每一條每一點都是自制的斟酌我今天很善意的非常簡要的跟委員回應就是通常這個第七節Session 7他主要都是這個協定後去履行公關的這個法律安排那通常這一條比較是一般性的這個國內法律權利的保留條款他其實指的就是說美方他保有他的政策
transcript.whisperx[143].start 3353.959
transcript.whisperx[143].end 3362.114
transcript.whisperx[143].text 的這個條款當然我方也是保有我方的這個法律跟法規的條款所以這是一個比較一般性的一個法律條款是好那對對謝謝謝謝副院長
transcript.whisperx[144].start 3364.028
transcript.whisperx[144].end 3391.493
transcript.whisperx[144].text 我這很清楚聽得很清楚好那美方有那請問我國呢因為他是叫做一方嘛他不叫美方嘛那依據這個條文的規定是這個規定是一方那一方也包括我國也是其中的一方那請問一下我國在面對這樣的客觀狀況的時候我們能夠採用什麼樣的措施請問一下這個一方當然就是指就是從每一個每一方來看
transcript.whisperx[145].start 3392.373
transcript.whisperx[145].end 3414.028
transcript.whisperx[145].text 所以這個沒有問題這個在一般的法律條文裡面他基本上就是一個雙方有他國內的相關的法律條文你沒有回答到我的問題我的意思是說因為他是寫一方嘛那代表美方跟中華民國嘛那請問一下我們有什麼樣的權益可以使用有什麼樣的法律依據可以使用
transcript.whisperx[146].start 3414.488
transcript.whisperx[146].end 3426.878
transcript.whisperx[146].text 就是包含這個任何的法律人權紀念這個政委可以備詢 沒問題 您請上主委員 那個有一些法條問題政委員非常熟 原則非常熟 時間繼續謝謝委員 這一方是指雙方
transcript.whisperx[147].start 3431.341
transcript.whisperx[147].end 3455.559
transcript.whisperx[147].text 不是不是 這個不是我的問題嘛我一直說一方是代表美方跟中華民國我是說我方可以採取什麼樣的動作嗎我方就是說當我們認為美國的產品有進口激增的時候我們可以採取WTO上下的救濟措施例如進口限制或是Safeguard或是Antidumping或Subsidy他講的是這種
transcript.whisperx[148].start 3456.22
transcript.whisperx[148].end 3482.592
transcript.whisperx[148].text 我方仍然保有我國國內法律保護我國受公平貿易的相關的法律的所以我今天就是在問這個問題就是說我方到底有什麼樣的反制措施嗎那因為美方的話我們現在動不動就聽到美方說有301232等等的很多的武器要來面對對付其他國家那我才會問說那依據這個第二項所提到的我們會有什麼樣的措施可以提出
transcript.whisperx[149].start 3483.052
transcript.whisperx[149].end 3496.341
transcript.whisperx[149].text 那除了你們剛講的那有沒有相關的法律我們的法院依據是什麼有 我們有進口救濟措施在經濟部還有財政部都有貿易法貿易法相關都有相關的條文
transcript.whisperx[150].start 3497.253
transcript.whisperx[150].end 3525.359
transcript.whisperx[150].text 好那這個部分其實我回歸我國國內的法律所以我今天不是來問大家考大記憶力不是問導大我只是把我的疑問提出來請你們回覆所以當然你們誰要出來解釋我都非常的樂意主外一方代表指的是the other party就是指的對方主外的時候我方就沒有啦我了解啦我說一方是指兩邊都可以嘛所以美方一直在新聞上面提供他們301等等那我也要知道我方有什麼我想
transcript.whisperx[151].start 3526.339
transcript.whisperx[151].end 3552.712
transcript.whisperx[151].text 這個必須要告訴全國人民我們到底還有什麼東西因為我看到就是天下雜誌他有整理到就是說美國貿易代表他有講了說還甚至可以提到15%然後他可以那個有足夠的時間讓政府去整齊提動301條款那我也要知道我們有什麼東西可以因應那像這樣子的啟動大概都需要花多少時間有沒有什麼SOP我做我國
transcript.whisperx[152].start 3554.665
transcript.whisperx[152].end 3580.236
transcript.whisperx[152].text 依照我們的貿易法的相關的規定如果要採取進口救濟的話業者可以提出來 政府也可以自行但是要經過一定的時間的調查調查時間大概多久這個我一下忘記 應該至少一定要6個月以上好 那這個東西請麻煩都讓全國人民知道再來我想請教一下我看到你們的報告你們的報告提到
transcript.whisperx[153].start 3581.571
transcript.whisperx[153].end 3602.376
transcript.whisperx[153].text 你們有找過民間智庫做初步的估算就是你們認為說這個衝擊性可能沒有那麼的那麼大他的衝擊有限請問一下這個民間智庫是指什麼哪一間智庫這是經濟部這個相關不是經濟部啦你們找的智庫
transcript.whisperx[154].start 3604.445
transcript.whisperx[154].end 3604.585
transcript.whisperx[154].text 我們可以下載嗎
transcript.whisperx[155].start 3613.134
transcript.whisperx[155].end 3641.546
transcript.whisperx[155].text 就是因為你們現在是只有在你們的報告第13頁有提到一個民間智庫那我想請問一下這個智庫的報告細項我要去哪裡看得到還有一些評估行政院召開正式記者會都有請經濟部提供PowerPoint所以會後我們可以不是PowerPoint我是要詳細的智庫的報告可以再進一步提供給委員因為我們如果要提供完整的這些評估報告比較細項那個部分是不是等到文本一併的
transcript.whisperx[156].start 3644.215
transcript.whisperx[156].end 3664.467
transcript.whisperx[156].text 不能這樣好了啦至少讓我知道你們會給我那你們剛是告訴了我民間智庫是哪幾個嗎然後再來我是希望我希望完整的看一下內容是什麼因為這個東西其實是很重要的啦因為我必須知道到底民間智庫是幾家你們有沒有做交叉的驗證這個我必須知道
transcript.whisperx[157].start 3664.927
transcript.whisperx[157].end 3686.346
transcript.whisperx[157].text 再來他的評估的狀況怎麼樣對我國影響多大因為我跟各位報告雖然你們就是以政府的角度是這樣看但是民間每個人都挫在蛋啦我想各位一定能夠感同身受他們都很害怕所以他們都會一直跟我們溝通所以我希望知道這些內容好不好就麻煩你要把資料提供給我這個大概多久可以提供給我
transcript.whisperx[158].start 3687.346
transcript.whisperx[158].end 3714.538
transcript.whisperx[158].text 只要那個確定了我們文本要送上去的時候我們就會把這些比較詳細的怎麼樣估算的內容好那我稍微等一下如果我一直等覺得沒有到我會發文跟你們詢問好不好報告員我們要讓他確定之後最終的影響評估我們把它公佈出來我這次過程像過去3220 15我們都有如果都很詳細全部公佈我想在引用上也會造成一些不必要的
transcript.whisperx[159].start 3715.298
transcript.whisperx[159].end 3731.391
transcript.whisperx[159].text 混淆所以我們最終的時候會把定案時候的影響評估公佈出來也經過這個民間的智庫來公佈出來他們用什麼樣的模型用什麼樣的顏色裡面都會完整的揭露沒有問題因為我是看到你們的報告寫因為是太太簡單了啦
transcript.whisperx[160].start 3732.652
transcript.whisperx[160].end 3760.559
transcript.whisperx[160].text 你們就只有寫說你們的智庫怎麼樣所以說你們現在可以看一下那個PowerPoint上面我有這幾個問題就是我希望說智庫的名稱還有希望能夠把它公開我另外也希望知道一個點就是說當時他們在做這些評估的時候他有沒有邀請公總還有一些協會去做一些了解這個我也必須要知道一下另外就是
transcript.whisperx[161].start 3762.779
transcript.whisperx[161].end 3778.765
transcript.whisperx[161].text 這個你們所謂的適當情況的這個定義這個我也想要反正你們就看一下這上面這幾個點我都希望能夠知道這個也是國人非常希望知道的那還有就是我剛提到的三種情狀就是10%或者是上調到15%或者是
transcript.whisperx[162].start 3782.338
transcript.whisperx[162].end 3804.922
transcript.whisperx[162].text 再動用了301這個最不幸的狀況發生之後前面兩項有沒有做出一些評估前面兩項已經做了因為301的部分怎麼樣還沒有就是美方還沒有怎麼樣還沒有說明他的調查方式調查方式到項目沒有辦法評估10%加MFN的衝擊分析以及15%加FN的衝擊分析已經做了已經用記者會先用
transcript.whisperx[163].start 3805.962
transcript.whisperx[163].end 3829.717
transcript.whisperx[163].text 這個整體說明那接下來我們當然會密切關注他啟動301或其他法律途徑我們都會來積極因應所以我們對跟委員報我們講說我們有信心在後續變動中確保爭取原來鞏固談判成果那這樣至少前面兩個啦你們說10跟15的部分你們這個已經完畢了嘛那這有沒有辦法兩個禮拜內先給我這個已經可以確定的部分
transcript.whisperx[164].start 3830.952
transcript.whisperx[164].end 3853.28
transcript.whisperx[164].text 我再跟那個智庫了解一下就是說可以揭露到什麼地步因為這個是也是有智慧財產權不過我還是要覺得不是啊 這個是公家委託委託這個智庫去做的嘛這個提供給國會這個應該不是什麼智慧財產權的問題啊但是就是說我看看可以揭露到什麼地步我們盡可能可以公佈的部分全部公佈
transcript.whisperx[165].start 3855.748
transcript.whisperx[165].end 3876.589
transcript.whisperx[165].text 不然你還是盡快給我啦好不好盡快反正你們如果一直沒有給我可能就只好請我去跟你們要那當然你說那個後續的部分因為美方那邊動作還沒有完成那你說不知道那我當然可以接受啊但是可以的部分我還是要先去弄清楚到底這些智庫講了什麼那最後其實我還要再跟你們提一個點其實其實像
transcript.whisperx[166].start 3877.389
transcript.whisperx[166].end 3894.158
transcript.whisperx[166].text 我國也是有很多相關的國內的法律譬如說我們關稅法70條它其實有一些規範我們可以去因應就我剛講的7.4的第二項裡面我國到底有什麼樣的法律依據可以用其實像剛剛你們講的很清楚
transcript.whisperx[167].start 3894.818
transcript.whisperx[167].end 3913.445
transcript.whisperx[167].text 那另外呢 我覺得我們的關稅法也有提到所以相關的因應總是我們要讓人民知道這是一個對等這是一個對等的協定不是說美方說了算所以麻煩一下這幾個東西都能夠把我放到你們的評估報告裡面然後盡快能夠給我 好不好好 謝謝吳宗憲委員 子昀謝謝卓院長 鄭副院長 國務部長 貝群 謝謝
transcript.whisperx[168].start 3924.557
transcript.whisperx[168].end 3933.992
transcript.whisperx[168].text 接下來我們質詢的委員賴會員我們質詢完畢之後我們將會休息十分鐘十分鐘之後再請賴世保委員準備質詢我們現在請賴會員委員請質詢
transcript.whisperx[169].start 3949.366
transcript.whisperx[169].end 3969.289
transcript.whisperx[169].text 好 謝謝 謝謝主席有請院長跟經濟部長跟農業部部長麻煩再請卓院長 經濟部 國務部長備詢是 謝謝院長副院長不用副院長因為一路以來談判都非常的辛苦副院長很辛苦 請坐副院長是 院長需要
transcript.whisperx[170].start 3974.25
transcript.whisperx[170].end 3998.789
transcript.whisperx[170].text 內委好是 院長我想我還要農業部長請農業部長備選謝謝我想在這裡還是要非常感謝就是這個談判團隊對這一次台美關稅的一個談判的結果那我們也知道就是說團隊的一個付出它有這麼好的一個成績但是接著而來這個IPAD這個
transcript.whisperx[171].start 4001.785
transcript.whisperx[171].end 4015.558
transcript.whisperx[171].text 這個被裁定的違法近期的經貿局勢似乎又有一些變數我在這裡要請教就是說 院長我們的AIT是不是具有法律的約束力
transcript.whisperx[172].start 4016.567
transcript.whisperx[172].end 4042.382
transcript.whisperx[172].text 我們希望不僅我們希望啦現在台美雙方都認為持續讓已經談妥的有協議的這個部分能夠繼續進行下去應該是最符合雙方最大的利益其他各國也應該多數都是這樣的態度所以我們跟美方進行建下的密切的聯繫當中就是要確保我們已經得到的這些在談判當中ART以及MOU當中所獲得的最佳的待遇
transcript.whisperx[173].start 4042.955
transcript.whisperx[173].end 4065.248
transcript.whisperx[173].text 是 所以我想院長就是說其實ART的優惠不會縮水這個是我們的一個主張可是我們需要做讓步我們的籌碼會不會升遍會不會有這樣子的一個可能因為在現在如果法律的工具改變用122的話有一些美方他是全球豁免
transcript.whisperx[174].start 4066.024
transcript.whisperx[174].end 4082.385
transcript.whisperx[174].text 那原來只針對我們豁免的項目在全球豁免當中我們可能原來的優勢會相對的減少或者是說對我們本來有豁免的項目他現在並不在豁免的項目當中那這個也是降低了我們的競爭力這當然一二跟
transcript.whisperx[175].start 4082.998
transcript.whisperx[175].end 4108.41
transcript.whisperx[175].text IPA當中會有若干的差距所以我們現在希望是回到原來的談判的內容依照原來ART簽署的內容是對我國最有利的這個是對我們是最有利的那我還是想再請教一下由院長的口中再一次就是說跟大家做一個報告就是說這一個2500億的投資的籌碼是不是也是繼續
transcript.whisperx[176].start 4110.823
transcript.whisperx[176].end 4130.138
transcript.whisperx[176].text 2500億是產業自主性的投資那要看產業他做全球佈局的時候他怎麼來規劃他未來在全球上面的投資行動但是跟留台灣以台灣為關鍵領先地位的這個角色地位是不會改變的而且他做任何投資都要經過法定的程序
transcript.whisperx[177].start 4130.677
transcript.whisperx[177].end 4150.673
transcript.whisperx[177].text 沒有 燕子我知道就是說這個2500億我講的就是說這個台灣提供的一個信用保證的這個2500億是不是繼續存在這個要看我們的產業如果進行國外投資的時候他到底需要到什麼樣程度的信用保證那我們以上線2500億美金的這個上限作為
transcript.whisperx[178].start 4153.513
transcript.whisperx[178].end 4167.795
transcript.whisperx[178].text 整個投資的上限但當中我們經過保證乘數以及比例的分算我們應該分做五個階段來進行第一個階段我們所必須準備的應該大概60多億的美元那這個已經在準備當中
transcript.whisperx[179].start 4168.638
transcript.whisperx[179].end 4184.231
transcript.whisperx[179].text 所以說也是會繼續的一個執行因為我們要求美方的承諾跟我們的有利的部分要履行我們也認為我們在這個相同的條件底下我們已經答應的部分我們也要做到所以說我們國家的堅持還是不變
transcript.whisperx[180].start 4185.912
transcript.whisperx[180].end 4201.026
transcript.whisperx[180].text 對 好 謝謝院長接著我請教經濟部長就是中小企業其實需要一個更明確的一個方向當然就是說你是不是可以結合這個鼓勵中小企業站上國際的舞台是我今天執行的一個重點那我們看到經濟部你這個有一個創意
transcript.whisperx[181].start 4203.689
transcript.whisperx[181].end 4224.751
transcript.whisperx[181].text 企業創新研發催念的一個計畫在這個計畫裡頭我們看到了這幾個大綱是不是部長可以跟我們做一個更明確深入的一個說明一下因為我們希望這個政策講得更清楚這個支持的力道會更強經濟部長是不是可以回顧我這一個問題
transcript.whisperx[182].start 4225.772
transcript.whisperx[182].end 4243.073
transcript.whisperx[182].text 鮑委員我們現在針對中小企業也好或傳統產業都希望他們可以雙手轉型智慧化的轉型也好或淨零的轉型這個是那我們會提供輔導來協助他們當然也有一些太舊歡欣設備上的一些補助會增加的
transcript.whisperx[183].start 4243.553
transcript.whisperx[183].end 4265.471
transcript.whisperx[183].text 如果說您剛才這邊提到的是Aplus計畫如果他是有產業鏈一起來不是只有一家公司來申請他跟他的供應鏈產業鏈關係一起來申請而且創造出更多的產業鏈效果跟就業那我們就會通過這個Aplus計畫來支持他做這樣的研發的一些工作
transcript.whisperx[184].start 4265.871
transcript.whisperx[184].end 4289.076
transcript.whisperx[184].text 好 部長這個Aplus計畫是不是只有受限於就是一個大的企業還是說這個中小企業就像你講的我們打群戰其實也是我們國家也是一樣會支持對 它要有一個主體性的企業然後這個主體企業它可以難掛住它很多的供應鏈廠商一起來做那我們也歡迎但是
transcript.whisperx[185].start 4289.716
transcript.whisperx[185].end 4298.798
transcript.whisperx[185].text Aplus計畫主要是針對研發的部分來支持如果說像其他的它要帶整個
transcript.whisperx[186].start 4299.761
transcript.whisperx[186].end 4322.771
transcript.whisperx[186].text 整個國家隊也好或整個團隊出去經營國際市場那我們有另外的計畫來支持他們是 我想部長就是說我們一定有信心就是說政府會帶著產業打贏國際盃可是我們現在擔心的就是說這些產業會不會只落在科技產業AI產業 機器人產業而其他的產業我們就把它疏忽了
transcript.whisperx[187].start 4323.471
transcript.whisperx[187].end 4345.411
transcript.whisperx[187].text 會不會是這樣子報告委員事實上我們那個930億支持方案當然我們經濟部分配到的額度是460億這460億絕大部分可以講90%以上都是用在傳統性產業跟種小企業所以90%是用在傳產因為232的部分比較沒有受到一些影響受到影響的就是
transcript.whisperx[188].start 4346.161
transcript.whisperx[188].end 4371.797
transcript.whisperx[188].text 我們剛剛提到的所謂的傳統性產業也好或中小型企業也好那個部分我們的資源大部分是用在這邊還有就是說 院長我們其實也擔心說122條的條款到期了150天到期了我們怎麼還換301跟388的一個條款的衝擊這個倒是就是說我想就是從早上到現在院長也講了很多很多
transcript.whisperx[189].start 4373.057
transcript.whisperx[189].end 4391.014
transcript.whisperx[189].text 當然我們比較擔心的就是除了我們是農業縣市以外在這個農業上的一個對等關稅的一個協助那也相對的就是要請教院長說會不會像歐盟就是暫緩這個四個月就是我們先慢一點來審議會不會有這樣的一個結果
transcript.whisperx[190].start 4392.014
transcript.whisperx[190].end 4416.65
transcript.whisperx[190].text 現在大多數的國家大多數的國家都希望依照原來的談妥的協議內容來繼續生效那美方因為現在他必須就他國內的法律途徑法律工具做調整那現在又發生了這個中東事件的衝突我認為會分散一點注意的時間跟力量但是我認為能夠儘快的定案還是我們最高的上策
transcript.whisperx[191].start 4417.49
transcript.whisperx[191].end 4434.108
transcript.whisperx[191].text 所以我希望我們能夠儘快跟美方取得一個如何的共識點他如何來印證說未來雙方所談妥的這些協議內容會繼續有效他只是變更他裡面的法律工具法律途徑如果我們拿到這樣的部分我想請大院也能夠
transcript.whisperx[192].start 4434.998
transcript.whisperx[192].end 4456.293
transcript.whisperx[192].text 緊迫的合理的審慎這樣的工具對照起來能不能讓這個談判的效果及早的生效我方生效美方也生效雙方就能夠進到一個穩定的關稅狀態當中好謝謝院長那你就講得非常的清楚嘛你希望快這是盡快的來就是做這樣子的一個執行面的一個協議這個是
transcript.whisperx[193].start 4457.694
transcript.whisperx[193].end 4478.426
transcript.whisperx[193].text 我們行政院所做的一個準備接著我想就是說跟農業部長做一個探討這300億的農安基金是不是有辦法來迎戰我們台美對等關稅未來就是說在整個農業不管是從進口我們先從進口開始來講
transcript.whisperx[194].start 4479.466
transcript.whisperx[194].end 4506.108
transcript.whisperx[194].text 就是米尤其我們台南其實我們台南的米就是非常的多那我們也謝謝就是談判團隊守住了這一個稻米的延稅率那非常感謝可是一樣我們就是對稻米進口關稅其實我們長期的一個關心在這裡我希望說部長你可以很明確的講出來對於這一個米你可以做更深入的一個怎麼樣的協助
transcript.whisperx[195].start 4507.009
transcript.whisperx[195].end 4528.554
transcript.whisperx[195].text 因為這是一個機會對 謝謝委員我想對米來講雖然說我們已經很明確的守住了但是我們更重要就是要讓我們國產農產品的優勢繼續保持同時更有力量能夠外銷所以我們在300億基金裡面不會因為我們守住了我們就不會去支持它我們反而會針對整個產業的國產品的韌性會更加強
transcript.whisperx[196].start 4532.588
transcript.whisperx[196].end 4559.879
transcript.whisperx[196].text 好 那就是說我們已經就是要求就是在美方的要求前面就是開放那我們也堅守住這個農業產業的一個利益那再接著我想這個我要跟你請教就是美國的液態乳液態乳的連關稅這個對我們的一個很大的一個衝擊你可以告訴大家這個液態乳是什麼樣的東西因為洛隆區在我本席的選區裡頭
transcript.whisperx[197].start 4561.523
transcript.whisperx[197].end 4589.19
transcript.whisperx[197].text 我想義大利是我們需要持續關心的但是我舉一個例子就是去年台乳零關稅的時候大家都非常擔心紐西蘭的牛奶會大量進口但是從去年的整年的整個的一個進口量來講只有增加了0.8%左右所以換句話說其實我們在去年所啟動的相關的政策去支持產業是有效的那同樣的這是美國的進來的時候
transcript.whisperx[198].start 4590.45
transcript.whisperx[198].end 4609.364
transcript.whisperx[198].text 我相信特別在鮮乳的部分從去年的資料來看紐西蘭的鮮乳有提高但是美國的鮮乳就有下降所以這些鮮乳進來的時候應該會跟紐西蘭或者是澳洲彼此之間相互競爭但是我們還是會持續的去針對酪農產業去加以扶持
transcript.whisperx[199].start 4612.006
transcript.whisperx[199].end 4632.515
transcript.whisperx[199].text 怎麼扶持我希望有一些比較具體的方式第一個部分就是我們國產牛會繼續做有效的淘汰讓他的生產效率提高第二個部分我們會針對所有牛籍做全方位的保險強制性的保險強制性的保險還有再補充他什麼
transcript.whisperx[200].start 4633.417
transcript.whisperx[200].end 4653.397
transcript.whisperx[200].text 對 然後相對的再來就是他們的集乳器他們的生產設施設備我們還是會持續的去做協助更重要的是我們在行銷端的部分我們去年做得相當不錯很多手搖飲店都是用鮮乳的部分所以後端的這些鮮乳的拉力如果拉高的時候前端的這些生產就比較安心
transcript.whisperx[201].start 4653.897
transcript.whisperx[201].end 4672.036
transcript.whisperx[201].text 所以說產業的工具我們會用最低的一個利息的一個補貼讓他們在這一個工具上的一個升級還有就是說我們的手搖乳電我們也會像去年一樣就是說要求他們就全力配合國產的這個鮮乳是不是這樣子
transcript.whisperx[202].start 4672.677
transcript.whisperx[202].end 4697.499
transcript.whisperx[202].text 是的我想整個的國產的市佔率還是90%我們還是維持這個目標同時我們的力道絕對會比去年還要強特別像金融的支持我們一定會繼續做特別是保險的協助的部分還有一個部分就是最重要是後面的品牌的行銷特別是在台灣鮮乳唯一選擇我想我們會做更大的力道的來推廣
transcript.whisperx[203].start 4698.58
transcript.whisperx[203].end 4719.114
transcript.whisperx[203].text 一句話很簡單的跟委員報告就是鮮乳我們國產鮮乳國內的市占率很高未來我們還是會讓我們國內的鮮乳看到的鮮乳就是指國內的鮮乳鮮乳跟保酒乳跟牛乳我們會在市場上分割就是更積極的幫台灣牛奶正名進口會進口國之間互相的競爭
transcript.whisperx[204].start 4720.035
transcript.whisperx[204].end 4736.583
transcript.whisperx[204].text 那更嚴重的還在後面我的豬肉這個豬肉的進口關稅減半他是不是會衝擊到台灣的養豬的產業你知道就是在今天這個禮拜天的一個開盤2月23號的一個開盤這個豬肉價
transcript.whisperx[205].start 4740.265
transcript.whisperx[205].end 4759.836
transcript.whisperx[205].text 那個作價的成本是一斤八十塊結果他掉到了七十七塊甚至還有掉到了五十塊都賣一家 賠一家當然現在價錢有稍微上揚上來可是這也是針對的就是要提醒部長就是說整個就是我們的補貼的一個策略是不是
transcript.whisperx[206].start 4760.376
transcript.whisperx[206].end 4789.175
transcript.whisperx[206].text 有待檢討因為當我們去補貼那三家冷凍廠的時候冷凍廠他到了他也是生意人他不會像政府一樣是這麼照顧豬籠的所以我覺得是不是應該我們應該深刻的去檢討是不是我們的我們自己農業部也應該要有一個自己的冷凍廠這已經講了好多年了第一個我跟委員報告就是開春後的第一天的確價格有降到77塊
transcript.whisperx[207].start 4790.39
transcript.whisperx[207].end 4818.405
transcript.whisperx[207].text 那相對的只有那一天其他的都是在82到85甚至有到90塊的部分所以我想整個的市場機制裡面我們會密切的監控第二點就是說整個的冷凍廠我想由政府坐東去處理冷凍廠是最下策如果我們把冷凍廠是維持在全台灣的各地的時候那現在大概可以維持一個月整個冷凍廠的量能可以維持一個月那第三個部分就是
transcript.whisperx[208].start 4819.437
transcript.whisperx[208].end 4848.937
transcript.whisperx[208].text 美豬的進口因為這樣的一個思維所以說遲遲都沒有我們自己的一個農業部還是台糖的一個冷凍廠然後你讓這些冷凍廠的這些廠商一直不斷的獲利我當然知道你不是要圖利他們可是我想這個政策面我們還是可以再溝通我想好部長再回到蘭花那個蘭花這個到底到底這個對等關稅有沒有疊加沒有疊加那
transcript.whisperx[209].start 4850.778
transcript.whisperx[209].end 4876.389
transcript.whisperx[209].text 這個蘭花蝴蝶蘭到底它現在的關稅是多少我也聽不懂多少我跟委員報告現在那個ART的零關稅現在還在確認但是它沒有不見但是對業者來講它比去年的20%疊加還要好因為現在變成10%第二個重點就是在去年的時候我們的20可是我們的競爭對手國是15所以換句話
transcript.whisperx[210].start 4883.439
transcript.whisperx[210].end 4910.077
transcript.whisperx[210].text 希望說在這樣的一個短暫的時噴霧的別家的部分能夠淨化的話能夠確保我們大陸的代工能夠好 您謝謝副長那院長我還是要問一句我的理念啦之前的雲霄水你對這個雲霄水的感受還好還好其實是很好的所以我們如果我們爭取確保原來的盤盤內容的話它就會回到平均的控制
transcript.whisperx[211].start 4913.396
transcript.whisperx[211].end 4926.805
transcript.whisperx[211].text 好謝謝賴會員委員質詢謝謝主委長相關部會首長貝群謝謝下午的專案報告會也謝謝上半場我們謝龍介委員從頭陪到尾謝謝賴世保委員陪同我們現在休息十分鐘謝謝
transcript.whisperx[212].start 5517.709
transcript.whisperx[212].end 5546.699
transcript.whisperx[212].text 好 會員後我們繼續開會 接下來請賴世保委員請質詢李坤澄委員請準備謝謝韓院長以及各位先進有請這個卓院長以及我們的談判的長官我們的正副院長還有經濟部長一起好嗎
transcript.whisperx[213].start 5547.301
transcript.whisperx[213].end 5565.619
transcript.whisperx[213].text 麻煩再請左院長 曾副院長 經濟部長備選內委員好好 三位長官好 辛苦了今天左院長整天都坐在這裡辛苦
transcript.whisperx[214].start 5567.54
transcript.whisperx[214].end 5592.738
transcript.whisperx[214].text 不會 引進到很多好的意見對團隊有很多的肯定 我們一起努力一起來努力啦齁但是我這個監督立場還是要講一點話啦就目前來講 因為早上我聽了幾個很專業的一個質詢你們都很誠懇回答 這點是可以肯定的齁但是我希望也是我的問題能夠實問實答啦
transcript.whisperx[215].start 5593.639
transcript.whisperx[215].end 5617.587
transcript.whisperx[215].text 就現在ALT的狀況是什麼樣暫時不生效是不是 暫時不生效本來就沒有生效啊因為還沒有送到大會來審議之前 當然沒有生效本來就沒有生效 那什麼時候會送到立法院我們就等美方他完成他國內的法律途徑跟工具之後他會通知我們 那個大概什麼時候
transcript.whisperx[216].start 5619.609
transcript.whisperx[216].end 5648.411
transcript.whisperx[216].text 這個真的我們無法說我們是盡量盡快來爭取以現在來講的話這個早上你們幾位都講了啊副院長也提到了啊現在目前是10加N嘛對不對有可能變成15加N嘛15加N沒分是還沒有以行政命令公布10加N然後維持150天嘛所以我們可不可以這樣講150天也就是五個月裡面
transcript.whisperx[217].start 5649.912
transcript.whisperx[217].end 5675.709
transcript.whisperx[217].text 這個台美的關稅協定不會送來立法院我可以這樣講嗎這要看美方他行政命令122條款是150天但是在這個期間美方會安排他後續的比較長久性的法律工具所以我們詢問美方美方有暫時的回答是說等他們研議安排法律工具之後會通知貿易夥伴國家
transcript.whisperx[218].start 5677.25
transcript.whisperx[218].end 5697.391
transcript.whisperx[218].text 這個就的確是必須要美方進一步的推薦那我們的立場是希望越快越好所以我想委員對我表達這樣的聲音我們有聽到我們當然希望越快越好但是我們可以講我們要向美方來表達這樣的想法我最慢最慢大概五個月他應該會出來五個月以內一定出來可以這樣講嗎
transcript.whisperx[219].start 5699.248
transcript.whisperx[219].end 5724.953
transcript.whisperx[219].text 5個月是他暫時這個附加稅的時間5個月之後他還可以透過他國內的法律程序延長我可以樂觀期待好不好 還是悲觀期待我不知道 你可以樂觀期待在5個月之內所以5個月裡面沒有這個東西他是122條款150天當然經國會統計美方國會同意會延長不過我們的目標當然希望越快越好所以委員的聲音我們都有聽到
transcript.whisperx[220].start 5725.433
transcript.whisperx[220].end 5744.144
transcript.whisperx[220].text 我們會繼續跟美方表達這個立場我請教院長啦這個副院長你給他打幾分啦他談判從早上到現在十幾位委員肯定團辦團隊談出這個阿克協議我想委員今天早上的肯定你把他打幾分
transcript.whisperx[221].start 5746.1
transcript.whisperx[221].end 5772.793
transcript.whisperx[221].text 遠遠都高過於我對他打分數的這個給社會的公信所以你給他100分我們不敢為自己打分數我們知道這個過程產業的等待跟包容副院長你要小心他幫你打100分你就慘了他叫你去選台北市長他叫你去選台北市長也只有100分的副院長可以去選台北市長我現在的生活裡面關鍵字就是關稅兩個字
transcript.whisperx[222].start 5774.841
transcript.whisperx[222].end 5790.14
transcript.whisperx[222].text 你去選台北市長當炮灰啊我生活裡面的關鍵是這副院長 炮灰啦我現在意思就是要趕快鞏固我們的台北市長你這樣講我可不同意喔這個院長啊你有看少康政經事嗎少康政經事你有看嗎
transcript.whisperx[223].start 5791.533
transcript.whisperx[223].end 5817.8
transcript.whisperx[223].text 那個比較少看我看比較少看昨天我上節目我還公開講連續兩個禮拜我說最適合的人是卓榮泰不是鄭麗君卓榮泰現在的你去選好誰好誰你要不是鄭麗君你可以請教一下郭震亮先生你比他適合我比較適合我們副院長同意我跟院長每天都在討論政務
transcript.whisperx[224].start 5820.935
transcript.whisperx[224].end 5836.696
transcript.whisperx[224].text 選舉是政務啊選台北市長選舉是選務因為大家都不願意去當炮灰啦你就是這樣而已這樣講我不同意這句話你給他這麼高的評價但是我們來看我們來看進口的部分
transcript.whisperx[225].start 5838.679
transcript.whisperx[225].end 5849.594
transcript.whisperx[225].text 蝴蝶蘭茶葉等級上百項這個農業部長都知道很清楚本來你的ART是零關稅現在變成10加N要課了現在怎麼辦
transcript.whisperx[226].start 5853.107
transcript.whisperx[226].end 5879.499
transcript.whisperx[226].text 剛才就委員關心啊雖然我不是農業縣的委員可是我也關心啊所以回過頭來嘛我們希望確保確保ART這個已經談妥的內容要不要課我就問你要不要課嗎現在要不要課已經生效了要不要課現在是10加MFN現在伏跌欄要課稅了嘛但是現在之前是20加也要課稅了嘛
transcript.whisperx[227].start 5881.72
transcript.whisperx[227].end 5896.005
transcript.whisperx[227].text 現在的之前是20加MFN0並沒有生效因為ART並沒有生效原來蝴蝶來MFN是0那你汽車0關稅是不是確定
transcript.whisperx[228].start 5896.823
transcript.whisperx[228].end 5913.198
transcript.whisperx[228].text 那要等到大院通過生效以後再修這個關稅法來生效所以那時這個關稅前面有委員問 我很緊張你聽的啦這個我覺得要怎麼運營影響很大勒
transcript.whisperx[229].start 5914.199
transcript.whisperx[229].end 5934.537
transcript.whisperx[229].text 影響很大 30萬的從業人員從汽車業加上汽車零組件的從業人員 30萬他是包括了零組件還有一些銷售人員有沒有可能對關鍵的零組件我們也給他降為零關稅 有可能嗎
transcript.whisperx[230].start 5935.831
transcript.whisperx[230].end 5954.503
transcript.whisperx[230].text 如果生效的話美國的領主権關稅進來是零關稅日本來的我們N幾年都跟日本買的啊日本來的可不可以零關稅啊那就是看立法院跟我們財政部的態度財政部齁 財政部長坐在那啦但是我就講啊
transcript.whisperx[231].start 5955.544
transcript.whisperx[231].end 5980.452
transcript.whisperx[231].text 如果汽車是零關稅我就要修法讓關鍵零組件通通零關稅不然汽車全部垮了啊是啊 如果是這樣也請委員就是說這樣的降稅可以回饋給消費者當然啦 當然啦 這個當然要回饋給消費者我們來看喔現在你講 院長說改了 副院長說改了結果我們現在到處最少到處20兆
transcript.whisperx[232].start 5983.633
transcript.whisperx[232].end 6008.125
transcript.whisperx[232].text 2500億直接投資2500億信保投資還有800多億的買還有我們要去蓋它的天然氣的Alaska的天然氣的infrastructure基本設施1000多億的美金加一加就20兆以上我們還被人家罵台灣是晶片小偷勒要蓋啊川普總統講了6次從他選舉開始
transcript.whisperx[233].start 6011.866
transcript.whisperx[233].end 6041.313
transcript.whisperx[233].text 選前選上之前講三次選後講三次阿最近跟你講阿你敢你們同意嗎不同意不不不我們院長你同意我們晶片是靠我們國內企業自主研發各種新的製程所造成晶片在取得全世界領先的地位院長你可不可以照我寫的勒事實是原來美國不錯交給日本後來日本交給台灣的
transcript.whisperx[234].start 6041.913
transcript.whisperx[234].end 6069.206
transcript.whisperx[234].text 事實上不是這樣我們有跟美方說明台灣的半導體產業是數十年我們發展初年來的成果川普現在是世界強人他講話多有影響力量但是我要請委員記住副院長回來那天講過一句話全世界看見台灣產業關鍵的力量這句話才是對台灣真正的寫照川普要看見啊川普到現在為止他選前講三次選後講三次
transcript.whisperx[235].start 6070.246
transcript.whisperx[235].end 6098.606
transcript.whisperx[235].text 選前講三次美國有他要振興2020競選時就講了接受彭博也講了喬羅根的體驗也講了然後選上以後關稅備用錄2月就講了2025 3月也講今年2020又講今年又講六次他是美國總統他的喇叭很大
transcript.whisperx[236].start 6100.114
transcript.whisperx[236].end 6127.957
transcript.whisperx[236].text 他現在全世界大家都很怕他也很尊敬他 哇 川普厲害大陸很怕他我們的政策就是抱著大腿他也稱讚過台灣的半導體的產業非常棒也講了非常多次但是他又說小偷咧你也要抗議一下 你不能講一下那個院長你要不要講一下說這是美國你不做了交給日本 日本還交給台灣
transcript.whisperx[237].start 6130.1
transcript.whisperx[237].end 6140.46
transcript.whisperx[237].text 所以我們有自主研發把他的整個製程給他提升到現在這種程度那全世界也沒有辦法有人可以學習到我們現在這樣的製程這樣的良率所以
transcript.whisperx[238].start 6141.417
transcript.whisperx[238].end 6159.444
transcript.whisperx[238].text 川普總統也說過我們魏哲佳董事長他是一個類似的沒有沒有我希望你在這裡我問你一下美媛容我也是跟您補充一下我們也清楚跟美方表達台灣半導體產業讓我跟您補充一下台灣半導體產業是台灣數十年來發展出來的一個成果
transcript.whisperx[239].start 6159.924
transcript.whisperx[239].end 6182.589
transcript.whisperx[239].text 那美方有他想要振興製造業以及他要提升他半導體產業自給率的目標不過我們跟他所談的是供應鏈的合作你們會不會擔心啊企業自主產業延伸的一個前提底下來跟他進行產業的供應鏈合作所以我們還是有我們自己的戰略目標來達成這個組織MOU的共識國衛店長
transcript.whisperx[240].start 6185.169
transcript.whisperx[240].end 6194.214
transcript.whisperx[240].text 在這裡雖然我們的喇叭小沒關係大聲講出來我們不是心扁小偷我們都講過了台灣的先進製程早遠超過當初我們你講了川普不買單了還繼續講啊這個東西大家很擔心
transcript.whisperx[241].start 6212.253
transcript.whisperx[241].end 6240.316
transcript.whisperx[241].text 我們的晶片這個台積電去了要總共去五個場大家很擔心這個工作機會年輕的 年輕的可能沒有了有人統計過台積電在國內一直找人一直找人都找不到你不要一直插嘴部長不能一直插嘴院長比你有修養院長都沒有插嘴你一直插嘴反映一下請你不要插嘴請你不要插嘴大家擔心有這個擔心我們下一代
transcript.whisperx[242].start 6241.616
transcript.whisperx[242].end 6260.729
transcript.whisperx[242].text 原來好的工作機會可能要去美國啊不是每個人都可以去美國對不對現在來講的話怎麼樣跟流台灣 雖然你們講很多啦齁我就提一個建議具體的建議請你們承諾所有去美國投資的沒侵犯
transcript.whisperx[243].start 6262.74
transcript.whisperx[243].end 6287.59
transcript.whisperx[243].text 對等投資沒侵犯投資一塊錢美國 投資一塊錢台灣做得到嗎 可以嗎請部長 請院長公開在這裡承諾一個立委 你先不要講我問院長 你不是院長你是部長 院長請你承諾可以不可以 我滾溜台灣我就決心投資一塊錢美國我就投資一塊錢台灣我們在對外的投資都要經過我們國內的投審
transcript.whisperx[244].start 6289.651
transcript.whisperx[244].end 6311.22
transcript.whisperx[244].text 在審查的過程當中我們第一個希望他要耕留台灣耕留台灣有很多的方式這個是其中一個很具體的在國內要投資是台灣在國外加一不是把台灣移出去產業是加一 我說過了我們耕留台灣的方式這個很具體的就是這個樣子一定要在台灣保存
transcript.whisperx[245].start 6312.621
transcript.whisperx[245].end 6334.497
transcript.whisperx[245].text 讓人家產業的力量我們年輕人才安心啊不然人家想說 喔 都在那邊說委員 我們是加法不是減法這是產業的延伸不會在台灣減法一定擴大投資台灣所以投資美國一塊錢 投資台灣一塊錢現在企業都在積極的擴大投資台灣我們也在推動擴大投資台灣方案我們現在的我們現在的審議其實就已經要求這樣了
transcript.whisperx[246].start 6338.8
transcript.whisperx[246].end 6356.336
transcript.whisperx[246].text 已經要求這樣國內投資一定要有我們才會放行投資一塊錢美國投資一塊錢台灣有嗎包括更多要投資國內那這樣子我們就可以期待我投資5000億美金就投資5000億美金在台灣
transcript.whisperx[247].start 6357.197
transcript.whisperx[247].end 6386.603
transcript.whisperx[247].text 單一企業他們就是這樣子我們在審議Case by Case就是這樣子我打一個很大問號來我們看喔那個總美國打伊朗啊這是不管怎麼樣川普總統這兩天有講了他說打四周到五周可能他更長不排擠地面部隊去這對我們來說台灣96%的人員是依賴進口的
transcript.whisperx[248].start 6388.182
transcript.whisperx[248].end 6407.476
transcript.whisperx[248].text 經過荷姆茲海峽的百分之六十石油三分之一的天然氣經過荷姆茲海峽他現在全部關閉他說不准一滴油跑出去對我們來講很大壓力喔這個東西你們說會找替代的請問找其他那幾個國家不知道你可不可以回答
transcript.whisperx[249].start 6408.542
transcript.whisperx[249].end 6427.977
transcript.whisperx[249].text 報告委員因為我剛才講就是說我們現在天然氣的部分大概有十幾個國家嘛那經過你剛才講河北溪海峽大概有差不多百分之二十幾到三十沒有錯那我剛才講就是說替代找哪些國家來用時間到了對 三月份的部分我們都已經找到了找哪幾個國家替代人
transcript.whisperx[250].start 6429.734
transcript.whisperx[250].end 6432.198
transcript.whisperx[250].text 這時候我們的油價因為有個公司萬一他漲很兇 現在開始一直漲院長 要不要啟動動漲機制
transcript.whisperx[251].start 6447.97
transcript.whisperx[251].end 6458.059
transcript.whisperx[251].text 如果對國內的民生經濟造成重大的衝擊的時候當然整個省業就會處理這個東西包括電價這個都影響到我們的CPI影響到民生 請幾位長官謝謝賴思鮑委員 謝謝卓院長 鄭副院長經濟部長貝欣 謝謝
transcript.whisperx[252].start 6487.017
transcript.whisperx[252].end 6512.908
transcript.whisperx[252].text 我們接下來請李坤澄委員請諮詢徐宇珍委員請準備好謝謝主席我們請我們卓院長還有鄭副院長麻煩再請卓院長鄭副院長備詢
transcript.whisperx[253].start 6523.939
transcript.whisperx[253].end 6538.49
transcript.whisperx[253].text 李委員好院長好 副院長好今天是元宵節先祝福我們所有行政團隊元宵佳節愉快大家平安能夠團圓今天就講關稅的問題不過我還除了關稅之外我還想講軍購也會提到說能源的問題
transcript.whisperx[254].start 6545.386
transcript.whisperx[254].end 6566.443
transcript.whisperx[254].text 這個鞏固台灣安全的三大關鍵基石第一個經濟的防線就是台美貿易跟關稅第二個國防的防線就是國家安全就包含軍購在內第三個是能源的防線是中東戰火下的供應鏈先來請教一下我們院長因為本來我們跟美國都談得很好了我們的這個
transcript.whisperx[255].start 6568.103
transcript.whisperx[255].end 6587.104
transcript.whisperx[255].text 這個ART我們15%不疊加然後有最惠國的待遇2072項我們豁免關稅然後MOU談得很好包含這個我們這個高科技的產品我們資通的產品半導體我們有最惠國的待遇但是因為現在美國的大法官判定了
transcript.whisperx[256].start 6589.227
transcript.whisperx[256].end 6603.074
transcript.whisperx[256].text IEPA說它違憲違憲但是他們行政部門工具箱裡面工具很多他馬上拿出來122條款那122條款目前是10%再疊加MFM未來有可能到15%
transcript.whisperx[257].start 6604.815
transcript.whisperx[257].end 6632.385
transcript.whisperx[257].text 我想請問一下現在也很多立委都很關心現在我們本來談定的ART跟MOU其實都比未來10%或15%加上疊加關稅都還要好但是我們也希望說未來在這段期間裡面我們的行政院的談判團隊持續再跟美方來做談判就是我們已經談好的ART
transcript.whisperx[258].start 6633.584
transcript.whisperx[258].end 6651.77
transcript.whisperx[258].text 跟MOU是不是能夠持續有效因為我想這對台灣來講各行各業 百工百業都是最好的所以我請教一下院長那副院長可以再補充第一個 我們需要多久時間來跟美方來確認我們所談好的這個ART跟MOU一樣有效其實這個談判團隊跟美方在
transcript.whisperx[259].start 6659.955
transcript.whisperx[259].end 6688.475
transcript.whisperx[259].text 美國最高法院判決之後到現在已經取得了密切的聯繫證明這種聯繫是持續在進行當中的副院長也在這種聯繫當中持續一再的要求美方盡快能夠確認到雙方已經談定的這個協議內容要繼續有效但美方調整在國內的法律工具之後他必須出去一個讓我們可以注意證明繼續有效的一個很清楚的說法
transcript.whisperx[260].start 6688.82
transcript.whisperx[260].end 6690.294
transcript.whisperx[260].text 我們才能跟國會提出來
transcript.whisperx[261].start 6690.919
transcript.whisperx[261].end 6718.812
transcript.whisperx[261].text 那這樣的過程現在還在進行當中那會不會因為說這個IEPA無效之後影響到說我們已經談定的這個232絕對沒有影響232沒有影響我說這個我們的ART會不會受到影響ART現在有一些影響就是我們有一些不要說關稅15不疊加變成10疊加這個雖然數字降低了可是我們跟我們競爭國家之間的微妙變化是存在的另外有一些部分是他全球豁免本來單對
transcript.whisperx[262].start 6720.333
transcript.whisperx[262].end 6736.336
transcript.whisperx[262].text 單對我們豁免在全球豁免我們的優勢也被吃掉了一些部分另外一部分是對我們有豁免的部分他現在取消了變成沒有部分變成10加MFN那這個部分如果調整到原來的ART內容的話我們就回到原來最有競爭力的模式裡面
transcript.whisperx[263].start 6736.536
transcript.whisperx[263].end 6765.525
transcript.whisperx[263].text 那有機會繼續維持住本來的談判的結果嗎確認這個事情我跟委員報告第一個232取得優惠不受影響還不受影響對 那第二我們原來談到的ART的談判成果我們希望鞏固那所以我們跟美方聯繫的過程當中美方也告訴我們其實122是過渡性的這個措施那我們當然知道產業面對122現在時加每一分未來會不會變動的確有不確定感我們是感同身受
transcript.whisperx[264].start 6766.065
transcript.whisperx[264].end 6785.991
transcript.whisperx[264].text 但是我們的確會在過渡措施過程當中跟美方緊密保持聯繫未來要真正面對的是後續美方替代性的法律工具不論是301或其他的法律工具之下它取代原來的AEPA的法源基礎但是雙方我們仍然期待維繫ART的一個談判成果
transcript.whisperx[265].start 6786.431
transcript.whisperx[265].end 6807.882
transcript.whisperx[265].text 我想這是雙方的態度那美方政府其實也對公開說明說他們現在會在未來他們既有的貿易法的基礎下實現跟各國的協議內容這是他最新的發言這是我們的優勢因為我們已經談好了我們已經談好ART譬如說2072項的豁免譬如說我們本來15不疊加我們所謂很重要不疊加是取得跟FTA國
transcript.whisperx[266].start 6809.563
transcript.whisperx[266].end 6832.368
transcript.whisperx[266].text 立足點相同的公平競爭也就是相對優勢的一個最佳待遇我們希望未來美方一二二之後過渡新的法律工具下依然給我們具相對優勢的最佳待遇這就是我溝通的目標所以我們正在緊密溝通中那包含我想那美方目前為止釋放出來的訊息您覺得怎麼樣有沒有朝我們想要的目標來前進
transcript.whisperx[267].start 6833.248
transcript.whisperx[267].end 6852.739
transcript.whisperx[267].text 我想我這邊能夠說說我身為台灣的台辦代表我全力以赴我也有信心來鞏固我們的台辦成果現在就是說是不是要等美方那邊確定之後我們的不管是ART或是說MOU再一起送到立法院來做審議
transcript.whisperx[268].start 6854.136
transcript.whisperx[268].end 6880.812
transcript.whisperx[268].text 我想應該我們必須要跟美方進一步確認我們的關稅優惠待遇之後明確化之後我們就會進一步將ART以及MOU還有影響評估就是要等待跟美方在談完之後做完一些調整之後再送來嘛對不對因為他們關稅優惠的法律基礎發生了變化所以他們也正在建立替代性的法律工具所以我們要進一步跟他確定未來的法律框架的安排
transcript.whisperx[269].start 6881.212
transcript.whisperx[269].end 6905.902
transcript.whisperx[269].text 以及我們當然是要確保我們取得的談判成果所以就是說之前已經談妥了因為現在他們的法律依據已經有變化了只是根據法律依據的做變化我是個人推估他們後續的一二過渡之後後續的法律工具應該某種程度應該要反映原來的談判成果至於沒有達成協議的國家他們可能後續面對301調查可能會面臨相對比較大的風險就是說我們的變數應該會比較小對 我們是一個有利基礎
transcript.whisperx[270].start 6909.423
transcript.whisperx[270].end 6926.095
transcript.whisperx[270].text 我們已經談定了嘛所以我們變數應該會比較小但是要送來立法院審議的也是要跟美國新的在談判之後或是說內容在做調整之後聯繫溝通然後美方會建立替代性的法律依據那明確化之後我們就會送大院來審議
transcript.whisperx[271].start 6927.356
transcript.whisperx[271].end 6946.08
transcript.whisperx[271].text 所以這個不是重新談判這不是重新談判就是說我們就內容再去跟他們做確認因為我們取得的是上一階段談判取得是我們認為相對優勢的最佳待遇所以我們並不是所謂重新談判而是要在聯繫溝通中去確保我們取得的談判成果
transcript.whisperx[272].start 6947.096
transcript.whisperx[272].end 6960.828
transcript.whisperx[272].text 如果萬一在野黨對於我們談完之後重新談完之後的不論是ART或是MOU他們有意見的話那會對台灣造成什麼樣的影響
transcript.whisperx[273].start 6962.601
transcript.whisperx[273].end 6989.015
transcript.whisperx[273].text 今天我看很多位的委員不論是各個黨派的委員其實都認為說這個ART裡面十五不疊加的相對優勢其實是台灣傳統產業農業我們可以取得的提升競爭力的一個好的結果所以我相信只要我們鞏固了這樣談判結果送交大院我們是非常期待大院能夠通過來予以生效因為我們當初這個ART跟MOU其實是綁在一起談的對 並談 對等232並談
transcript.whisperx[274].start 6991.255
transcript.whisperx[274].end 7018.671
transcript.whisperx[274].text 所以你今天不可能說我們這個只要這個MOU232對我們這個半導體高科技產業好然後對於這個Alt我們就覺得說這個談的有問題我們就不要就不可能這樣子所以我們當時台美就是對等跟232並談我們是一起談的高科技傳統產業跟農業在國際競爭力的一個相對優勢我想我們努力達到這個目標我們當然現在也是要鞏固這個我們各類產業都能夠
transcript.whisperx[275].start 7021.211
transcript.whisperx[275].end 7035.658
transcript.whisperx[275].text 確定取得相對優勢的一個最佳待遇那232是最惠待遇那對成農產業跟農業我們取得的是逆差國中的一個最佳待遇尤其我們的原來取得的不疊加是讓我們米平了過去有
transcript.whisperx[276].start 7036.378
transcript.whisperx[276].end 7064.032
transcript.whisperx[276].text 跟美國FTA國家我們差距人家的一個MFN就像以前我們的從商產業在競爭的時候好像是腳上綁一個沙袋就是比人家高了一個MFN但是在原來的談判成果是不疊加以後這個的差異就消失了就有立足公平的一個競爭所以我們未來在不管他新的法律如何安排我們都希望能夠繼續鞏固我們原來所取得的一個相對優勢的一個最佳待遇所以我現在很擔心就是說在野黨有些人說要重新談判
transcript.whisperx[277].start 7064.992
transcript.whisperx[277].end 7092.508
transcript.whisperx[277].text 重新談判搞不好連已經談好的232我們有關這個高科技半導體的MOU都一起都會有影響一起受到這個連帶的一個影響我是希望說如果這段期間能夠再繼續再維持說我們這個跟美國談定的這個Art這個範圍裡面那當然是最好其實當初談出來的時候在野黨其實他們大部分也都認為說這已經談得很好了也都給我們這個
transcript.whisperx[278].start 7093.604
transcript.whisperx[278].end 7113.847
transcript.whisperx[278].text 行政院 談判團隊都給予肯定今天不要為了說對ART認為說美國IEP有問題了結果連帶的影響到我們已經談定了232有關MOU的一些簽訂今天包括委員在內一早上到現在十多位各黨派的委員在這裡提出的
transcript.whisperx[279].start 7114.668
transcript.whisperx[279].end 7136.166
transcript.whisperx[279].text 我想會讓我們深具信心因為大家對232我們獲得的最優惠的待遇原來就已經知道這是很好的一個成果現在對Art所爭取到的15%不疊加這樣的一個過程今天早上到現在大家都持肯定的態度這個我會認為對未來我們將Art以及MOU並送國會的時候應該
transcript.whisperx[280].start 7138.464
transcript.whisperx[280].end 7159.927
transcript.whisperx[280].text 前途一片光明在這但是我們現在努力的是趕快確保這個內容談判的內容美方跟我們繼續遵守確認他給我們一個很明確的說法我想有國會的支持你們在跟美方談的時候我想也會增加一些籌碼我們非常感謝委員對我們談判成果的一個肯認
transcript.whisperx[281].start 7160.56
transcript.whisperx[281].end 7181.046
transcript.whisperx[281].text 好 那我們這副院長先請回接下來我請我們這個卓院長今天的這個程序委員會終於把這個行政院版的這個軍購特別條例至少在程序委員會有過關了那有機會在這個禮拜五就是複為審查但是現在國民黨他們的版本有很多種有3500億最低的那有可能要高到8000億左右
transcript.whisperx[282].start 7182.674
transcript.whisperx[282].end 7205.872
transcript.whisperx[282].text 那不管怎麼樣我認為國家安全是不能打折扣的那現在有兩個問題請教這個院長如果最後送來的這個國民黨的版本是鄭麗文的這個版本只有3500億那對於國家的安全會造成怎樣的傷害如果是有這樣的版本出現我一看到我會非常的遺憾因為在1.25兆的特別預算跟條例當中我們
transcript.whisperx[283].start 7206.863
transcript.whisperx[283].end 7232.739
transcript.whisperx[283].text 清楚的告訴國人我們有三大目標一個就是台灣之盾那個整個台灣安全的很關鍵的力量設施另外一個就是用AI高科技導入一個擊殺鏈的一個整個新的新式武器第三個很重要的是國防相關聯的國防軍工產業那無論切到哪一塊都不是一個整套的國家安全體系所需要的有人說
transcript.whisperx[284].start 7234.621
transcript.whisperx[284].end 7261.378
transcript.whisperx[284].text 國防安全體系這一塊要變做以後的年度預算但是我們認為國防安全體系可以讓我們的國內的產業急速的升級而且是有計劃的在8年內快速的朝向一個世界先進的國防產業裡面的升級如果變到年度預算當中又要產生其他的排擠作用所以還是要懇請大院依照行政院院版1.25兆的國防預算
transcript.whisperx[285].start 7261.963
transcript.whisperx[285].end 7281.601
transcript.whisperx[285].text 預算的這個特別條例跟特別預算內容能夠審查單裡面適當跟不適當予以合理的審查做若干合理的調整我們都能夠合理的來討論但是如果一切把它切到只剩下三分之一對我們整體的架構會產生非常大的影響我們看現在的這個戰爭的發展
transcript.whisperx[286].start 7282.947
transcript.whisperx[286].end 7300.185
transcript.whisperx[286].text 又要保護自己又要有適度的環境的能力同時當自主的國防沒有辦法實現的時候依靠外來的整個力量到時候會產生很大的斷層跟落差所以我希望這三點能夠同時達到因為從剛剛的關稅跟我現在問的軍購
transcript.whisperx[287].start 7303.993
transcript.whisperx[287].end 7333.492
transcript.whisperx[287].text 其實它有相同的背景就是說不論是軍購或是說關稅我們跟美方都已經有談定了現在就是說如果我們跟美方已經有談定了但是在野黨它有不同的意見然後要推翻我們跟美方不論是軍購或是說關稅都談得非常久然後就是說到了立法院之後在野黨不同意見把它推翻了我相信對於台灣跟美國的關係也會受到影響當然所以我說國防不能夠打折扣的
transcript.whisperx[288].start 7334.179
transcript.whisperx[288].end 7358.034
transcript.whisperx[288].text 打三折打三分之一那就不成原形所以我是認為1.25兆的國防預算合理的審查就內容我是要求國防部提出清楚的說明來據理力爭講到讓委員能夠來支持也讓美國可以及時的提供給我們這些先進的AI設計的這個武器讓我們能夠除了自保我們更有能力發展自己的國防軍工產業
transcript.whisperx[289].start 7359.11
transcript.whisperx[289].end 7376.133
transcript.whisperx[289].text 好 剩下最後一點時間我問一下因為現在就是說美國打伊朗如果按照美國總統川普的說法可能會延續到四週大家就很關心說我們的能源問題因為我們現在如果按照台灣基金研究院的估算
transcript.whisperx[290].start 7376.781
transcript.whisperx[290].end 7400.19
transcript.whisperx[290].text 石油庫存大概可以支撐120天那天然氣比較少天然氣大概僅大概11天左右那如果是在這種情況之下因為我們有60%的石油跟超過1%33%左右的天然氣需要經過現在有可能會被伊朗封鎖的這個荷姆斯的海峽那我想請問一下行政院有沒有短期跟長期的這個規劃跟替代方案
transcript.whisperx[291].start 7401.279
transcript.whisperx[291].end 7428.608
transcript.whisperx[291].text 還有3月底會召開這個電價會議會不會受到影響電價會不會受到影響我們就最近一個月當中的所有的LNG的提供運送我們做了比較周延的一個規劃3月份不會受到影響我們現在以這個目標往後當然要持續馬上進行加序了要確保4月以後的這個對電價會不會有影響電價當然要加入電價審議委員會因為4月的時候到現在整個變化還在
transcript.whisperx[292].start 7436.377
transcript.whisperx[292].end 7451.864
transcript.whisperx[292].text 好 謝謝李崑禎委員質詢謝謝卓院長 相關部會首長備詢 謝謝接下來徐益臻委員質詢完畢之後王定宇委員改書面質詢我們要請王弘威委員請準備現在請徐益臻委員請質詢謝謝院長 我們請卓榮泰卓院長麻煩再請卓院長備詢
transcript.whisperx[293].start 7473.835
transcript.whisperx[293].end 7501.824
transcript.whisperx[293].text 徐委員好 主委長好主委長這段時間以來因為行政院一直以我們這次談判的一個重大突破跟強調它的成果跟紅利但是當然針對這個部分的話政策的評價我想不是只有我們自己的大內宣應該還要回歸到我們雙方的條文本身是不是權力義務能夠對等還有風險是不是可以控管
transcript.whisperx[294].start 7502.591
transcript.whisperx[294].end 7528.102
transcript.whisperx[294].text 因為其實我們看到這49頁的文本ART這49頁的文本我們可以看到其中有很多呈現的不是單純的這個關稅互惠而是多項足以影響我國主權的這個政策彈性的安排那許多條款在過去的經貿條款談判中也確實鮮少見到首先的話我們先來談談這個國防的部分
transcript.whisperx[295].start 7528.715
transcript.whisperx[295].end 7555.865
transcript.whisperx[295].text 因為第五點四條我們可以看到第三項會將國防的年度預算應高於GDP的3%納入我們協議的文本那國防的預算本來就應該依照我們的安全情勢財政狀況跟我們國會審議的一個決定但是現在是透過貿易協定的方式予以拘束也限縮了我們未來政府的一個財政的一個編列的彈性跟我們立法監督的一個空間
transcript.whisperx[296].start 7556.892
transcript.whisperx[296].end 7562.46
transcript.whisperx[296].text 那我们来看一下3%的GDP大概如果看起来大概至少要新台币8500亿元
transcript.whisperx[297].start 7564.318
transcript.whisperx[297].end 7593.75
transcript.whisperx[297].text 那我們可以看一下我們115年度的這個軍事預算的組成因為我們用的是歐盟的這個計算方式所以我們可以看到包括國防部以及三項特別預算的退伏會海巡署跟非營業特種基金大概是9495億那未來美國如果不同意用歐盟的計算方式的話我們可能要扣掉退伏會的1064億那還有包括新式戰機跟海空戰力提升這兩項因為今年就會執行完畢
transcript.whisperx[298].start 7594.434
transcript.whisperx[298].end 7614.283
transcript.whisperx[298].text 再扣掉這兩項之後大概只剩7700億左右那也就是說我們的公務預算未來還要再增加800億元才能夠達到8500億的規模所以想要編列到3%的GDP也勢必會影響到不管是教育 社福或者是這個農業經濟以及基礎建設的資源所以要
transcript.whisperx[299].start 7619.266
transcript.whisperx[299].end 7641.615
transcript.whisperx[299].text 那也讓我們這些年度預算是會受到外部的一個作用那也會削弱我們立法院審議跟這個財政自主的本身那所以國防支出應該是要依照我們的戰略需求跟財政能力來做一個彈性的調整但是像這樣子在商務協議中被寫死那放在商務的這個協議裡合理嗎
transcript.whisperx[300].start 7643.989
transcript.whisperx[300].end 7669.383
transcript.whisperx[300].text 我們剛剛看到的文字的內容也應該清楚的看到它是TECO跟AIT宣誓一致這個宣誓一致表示我們是已經達到了我們已經達到了所以我們宣誓說我們已經達到了3%因為94 95這個數字已經達到了3.32我們已經達到了但未來會達到嗎未來我想隨著我剛剛提到這個國家財政的能力跟國防的需求
transcript.whisperx[301].start 7671.633
transcript.whisperx[301].end 7686.608
transcript.whisperx[301].text 3%再往上增加看看我們的需求有多少我們的能力的支銷多少因為你現在在協議文本裡面是寫寫清楚就是要至少要3%嘛對不對對那未來如果沒有辦法達到是不是就先說我們自己的一個財政的一個編列
transcript.whisperx[302].start 7687.268
transcript.whisperx[302].end 7716.366
transcript.whisperx[302].text 國防支出的財政編列的一個能力那我們接下來再看一下我是不是跟委員做一點點補充因為這個條文其他載明是一個我們談判前已經發生的事實也就是我國賴清德總統在去年的3月就已經宣示了這樣的一個國防預算的目標那談判是4月以後才開始的所以這個條文是一個載明我國已經總統宣示的一個目標跟事實所以未來也是會這樣子嗎沒有 這只是一個說跟我們所宣布的目標
transcript.whisperx[303].start 7717.507
transcript.whisperx[303].end 7727.216
transcript.whisperx[303].text 這樣的一個事實宰民在條文裡面那如果說剛剛我提到這樣一個狀況勢必可能也會有一些排擠到其他預算的一個狀況的時候那我們要怎麼樣來去因應排擠
transcript.whisperx[304].start 7730.237
transcript.whisperx[304].end 7750.423
transcript.whisperx[304].text 報告委員 我們目前的確我們的國防預算就已經是朝這個目標在變略我們已經也向特別條例送到大院我們也希望 懇請大院能夠支持我們國防的特別條例就是我剛剛提到這個部分我是覺得那至於為什麼要在這個經貿所以這個是基於國家的國防安全的目標對 那為什麼要在經貿的協議當中就加上這個加上我們的這個國防的預算
transcript.whisperx[305].start 7756.248
transcript.whisperx[305].end 7777.547
transcript.whisperx[305].text 這個是一個宰民事實我想這個只是表達說目前世界各國沒有這樣子吧我國自己已經有這樣的一個目標另外我再請教一下就是在這個第5.1條裡面當美國以經濟安全為由制裁某國時台灣收到通知後必須要跟緊所以我們可以看到就是
transcript.whisperx[306].start 7778.303
transcript.whisperx[306].end 7802.078
transcript.whisperx[306].text 這樣的做法等於將我國是否對第三方採取貿易制裁的這個決策跟美方行動是綁定而且根據這個條款的話現在美國一直講說要制裁歐盟那如果他制裁歐盟的話我們也要跟進嗎這個我想在條文裡有這樣子的一個狀況那另外呢我再請院長看一下下面這張表就是
transcript.whisperx[307].start 7806.248
transcript.whisperx[307].end 7831.853
transcript.whisperx[307].text 針對我們這個協議裡面的5.2條第三項台灣的出口管制要跟美國的FDPR保持一致未來美國的商務部如果他隨時修改這些規則我們台灣也必須要自動跟進未來如果損擊到台積電或是其他半導體大廠的重大利益時我們就沒有說部的權利只能當美國法律的執行窗口對台灣的廠商也非常的不公平
transcript.whisperx[308].start 7832.421
transcript.whisperx[308].end 7835.095
transcript.whisperx[308].text 那另外我們也可以看到在這個3.2條的第三項
transcript.whisperx[309].start 7837.267
transcript.whisperx[309].end 7864.574
transcript.whisperx[309].text 就是有關醫藥主權就是未來只要經過美國FDA許可的我們就可以作為藥品在台上市那事實上我們都知道東方人跟西方人不管在基因在代謝上有所差異這個是醫學常識那現在美國FDA如果通過核准的就可以在台灣上市而不要需要經過這個人體的試驗或任何臨床試驗的話未來如果發生這樣子的一個這個爭議的話
transcript.whisperx[310].start 7867.114
transcript.whisperx[310].end 7889.716
transcript.whisperx[310].text FDA會負責嗎尤其是過去在美國我們也曾經出過在美國通過卻在亞洲引發致命心律不整的這樣的一個案例那未來這樣的一個狀況的話誰要負責跟委員報告其實在這次談判中美國是對各國在談判那美國對許多國家都有提供ART這樣的一個這個各個條文的framework一起談
transcript.whisperx[311].start 7890.296
transcript.whisperx[311].end 7919.363
transcript.whisperx[311].text 但是所以其實很多條件你可以比較各國所談出來的也就是說各國都會放棄這樣的健康主權嗎在FDA的部分其實是FDA所許可作為我方審查的一個充分證據所以我方仍然保有相關的一個所以未來還是可以有人體試驗還是可以有臨床試驗是嗎這個我們請部長可以來進一步說明跟委員說明這個美方跟我們的產品之間其實它是有區隔性所以我們它進來的大概都是比較高階的
transcript.whisperx[312].start 7920.353
transcript.whisperx[312].end 7936.938
transcript.whisperx[312].text 那麼在為了讓這個加速審查其實我們早就有一些加速審查的機制對於過去在一些我們認可的國家像FDA美國FDA或者是日本歐盟我現在就是要代表大家就是事宜的部分就是說未來是不是
transcript.whisperx[313].start 7937.418
transcript.whisperx[313].end 7957.474
transcript.whisperx[313].text 就是只要美國FTA這上市的就是最後到我們國家來我們還是可以我們還是可以經過人體試驗跟臨床試驗是嗎我們會去檢視是不是有人種差異性對 我覺得這個部分對我們國人健康安全非常的重要尤其是東西方人種的差異那我們也希望說在這邊不要造成大家的誤解而是讓大家能夠知道
transcript.whisperx[314].start 7957.874
transcript.whisperx[314].end 7981.668
transcript.whisperx[314].text 针对这样子的健康主权我们是有所坚持的绝对不会拿国人的健康开玩笑有两重一个是它要符合美国FDA第二个是它作为我们充分的证据但是我方还是有一个审验的程序持续进行委员官却那几项卫福部都会持续把关另外我们再看看第4.1条跟第4.4条就是全世界都在讨论如何对Google Meta这些数位
transcript.whisperx[315].start 7982.268
transcript.whisperx[315].end 7997.712
transcript.whisperx[315].text 科技巨頭課稅然後我們在協議裡就是承諾不課徵數位服務稅甚至不能要求查閱原始碼那院長請問一下這樣的做法是不是犧牲我們的數位的主權那這樣子對於我們原來的稅收會犧牲多少呢
transcript.whisperx[316].start 7999.036
transcript.whisperx[316].end 8014.659
transcript.whisperx[316].text 目前我國本來就沒有存在數位貿易稅世界各國都在討論嗎那你這是未來的趨勢我國本來現在就沒有對跨境平台徵收數位貿易稅那如果他涉及的話我們一般的像加值型營業稅或者是所得稅這些都還是有的
transcript.whisperx[317].start 8015.6
transcript.whisperx[317].end 8034.455
transcript.whisperx[317].text 那現在是全世界都在討論嘛希望還是要一個這個那為什麼我們要在條文裡就把它就是要求說不可以確認數位膨脹所以我們陳述的是一個目前我們沒有這樣的一個對 那未來也不會有因為我們已經簽訂這樣子的一個條文嘛我想雙方很重要也達成這個
transcript.whisperx[318].start 8035.636
transcript.whisperx[318].end 8056.413
transcript.whisperx[318].text 我們的這個邊境的自由傳輸那麼以及對於自由傳輸不課稅那最重要在資安安全上面的這個合作那我想台灣跟美國我們是自由民主的國家在數位貿易跟數位安全上面的合作其實是有它的一個重要性但是因為在這樣的條文裡我們就是未來是不可以對他們課徵這個數位服務稅
transcript.whisperx[319].start 8058.194
transcript.whisperx[319].end 8081.387
transcript.whisperx[319].text 那未來如果當世界的趨勢做一個轉變我們必須做這樣的一個改變的時候那因為簽訂了這個ART之後我們就沒有辦法來跟他們課徵這樣子的一個稅收這樣是不是合理那因為全世界其實都在討論這樣的一個事情那另外我們也可以看到就這個部分的話除了這個部分我們大家國人非常關心的就是食安的問題
transcript.whisperx[320].start 8082.948
transcript.whisperx[320].end 8101.994
transcript.whisperx[320].text 因為院長也常常講到說食安是政府的底線所以從這份協議看起來其實政府顯然對於食安的這個問題做了一些的退縮我們首先先看到不好意思那可能這個部長可能可以我們現在要討論這個食安的問題
transcript.whisperx[321].start 8104.055
transcript.whisperx[321].end 8130.049
transcript.whisperx[321].text 我們可以看到就是現在我們針對這樣的Art我們針對有關不管是美豬美牛我們都做了一些退讓包括殘留標準我們不可以制定更嚴格的一個規範所以我們現在是要跟Codex一致另外還有就內臟部位的安排我們可以看到就是說因為國人的飲食習慣跟西方人不同這個殘留對萊克多巴胺的殘留的
transcript.whisperx[322].start 8133.797
transcript.whisperx[322].end 8154.267
transcript.whisperx[322].text 容許量我們把它放寬之後還有內臟的部位進口變多之後還有萊劑的部分其實國人都非常擔心尤其是做業者的婦女或者是一些老人家或是學童針對這樣的部分的話為什麼過去我們一直說這樣子是不行的它包括水解步驟
transcript.whisperx[323].start 8154.96
transcript.whisperx[323].end 8174.078
transcript.whisperx[323].text 恐怕我們現在也禁止採用水解步驟因為會這個降低來劑的檢出率那針對美豬的部分我們不能百分之百的這個要終止百分之百的竹坯的檢測那對美牛也要這個終止竹箱的查驗
transcript.whisperx[324].start 8174.878
transcript.whisperx[324].end 8188.711
transcript.whisperx[324].text 等等這個都讓我們覺得針對食安的部分事實上尤其是美豬美牛來豬來牛對我們國人健康都會造成很大的一個影響那請問一下針對這個部分我們有什麼樣子的說法
transcript.whisperx[325].start 8190.38
transcript.whisperx[325].end 8205.137
transcript.whisperx[325].text 跟委員說明在食安的部分我們是嚴格把關這個原則是不變的但是我們跟國際接軌所以我們現在重新再去檢視我們對於特別是萊克多巴胺的殘留量跟CODES也就是所謂國際標準的
transcript.whisperx[326].start 8206.875
transcript.whisperx[326].end 8222.562
transcript.whisperx[326].text 食品法典委員會所公布的標準我們重新評估同時也在去年我們已經完成了國人根據國人的飲食習慣所做的健康風險評估之後我們認為可接受所以我們現在重新調整的
transcript.whisperx[327].start 8223.162
transcript.whisperx[327].end 8241.739
transcript.whisperx[327].text 標準除了跟Codex是一致之外也跟日本 韓國 新加坡是一致的那現在我們放棄了就百分之百的這個主批查驗跟儲箱查驗這個部分是不是會造成更多的輸入的管理我們從源頭包含茶廠包含系統性查驗這個都還是照做的
transcript.whisperx[328].start 8242.139
transcript.whisperx[328].end 8266.291
transcript.whisperx[328].text 那另外在這個條文他規範的是什麼補充補長就是說我們的這個在四大不變就是民間品項維持不變原產地標示不變校園優先採購國產不變以及食安管理機制不變就是源頭邊境後市場管理機制不變那原來因為他是不能進來的品項所以採用竹箱竹坯
transcript.whisperx[329].start 8267.412
transcript.whisperx[329].end 8285.349
transcript.whisperx[329].text 那現在我們要回歸一般的我們的邊境的查驗所以我們還是有邊境查驗的程序所以我想這個部分就是剛剛部長講的這個部分我想部長在這個源頭邊境因為源頭就去茶廠系統性茶盒那為什麼要放棄像以前這樣百分之百的這個豬批查驗為什麼
transcript.whisperx[330].start 8286.53
transcript.whisperx[330].end 8314.215
transcript.whisperx[330].text 因為就是回歸我們的既有的常態性的管理只是說我們常態性的管理的法規他沒有說一定要完全載明在我們的協議裡面但是在法規裡面都有其實也要代表我想所有全國的父母都非常擔心未來這樣子不管萊豬 藍牛會不會進入到這個營養午餐會不會進入到校園還有基改食品是會進入校園基改不會進入校園這個部分是大家現在非常擔心的疑慮因為很多的萊豬 藍牛因為你的這個
transcript.whisperx[331].start 8316.655
transcript.whisperx[331].end 8345.215
transcript.whisperx[331].text 放寬這個檢驗標準之後他可能就會利用其他的形式進來這是我們現在我想家長都非常擔心的我跟委員報告我們現在改變的這個標準跟國際接軌主要是在內臟肝腎的部分那肝腎在國內的使用量進口的佔量是非常非常低都在1%左右而已最後我想我要這個提出三點的這個嚴正的要求
transcript.whisperx[332].start 8345.796
transcript.whisperx[332].end 8370.234
transcript.whisperx[332].text 第一個就是要盡速送立法院實質的審議因為過去這個政府院長在擔任委員的時候也有特別說要拒絕行政獨裁那另外還有拒絕黑箱作業我們也是要落實政府院長當年主張要公開透明第三個我們也希望能夠盡速的提出產業的衝擊評估報告不可以拿這個台灣的主權
transcript.whisperx[333].start 8371.138
transcript.whisperx[333].end 8377.822
transcript.whisperx[333].text 跟国人健康为牺牲所以在这边也要特别的要求希望我们能够落实这三样的要求
transcript.whisperx[334].start 8393.991
transcript.whisperx[334].end 8408.909
transcript.whisperx[334].text 我们接下来登记第17号的王定宇委员改书面提出请行政院书面答复并列入记录刊登公报再接下来登记第18号王洪威委员请咨询邱志伟委员请准备
transcript.whisperx[335].start 8418.206
transcript.whisperx[335].end 8426.111
transcript.whisperx[335].text 好 謝謝主席我請我們卓榮泰院長跟我們鄭麗君副院長麻煩再請卓院長 鄭副院長備選好 院長 副院長好黃委員好今天是元宵節所以也祝福我們現場
transcript.whisperx[336].start 8447.642
transcript.whisperx[336].end 8472.457
transcript.whisperx[336].text 包含我們的行政院院長、副院長還有我們各位首長還有我們立法院院長、秘書長還有我們所有同仁跟院裡面的同仁大家元宵節快樂謝謝委員今天也是很臨時可能王定宇委員深陷他的情色風暴裡面所以我被通知臨時要提前來質詢這也很好
transcript.whisperx[337].start 8473.257
transcript.whisperx[337].end 8492.972
transcript.whisperx[337].text 所以但是我想在這邊我要做一個澄清因為我剛在下面聽的時候那麼卓院長一直在強調說我們今天質詢的很多位跨黨派的委員都很肯定我們這一次台美貿易談判包含我們ART的一個
transcript.whisperx[338].start 8494.012
transcript.whisperx[338].end 8512.986
transcript.whisperx[338].text 這樣子的一個談判的結果我覺得這個是有一些誤解跟扭曲因為事實上我們在這一次的談判事實上包含除了ART之外還有一個非常重要的是MOU我們台美之間已經簽訂MOU而且更早簽訂而MOU
transcript.whisperx[339].start 8515.628
transcript.whisperx[339].end 8533.06
transcript.whisperx[339].text 這個部分因為牽涉到高達5000億美元的投資所以我必須要說我們並不是對這次整個的談判的結果大家完全可以全盤接受的我覺得在這邊一定要做一些澄清
transcript.whisperx[340].start 8533.9
transcript.whisperx[340].end 8545.171
transcript.whisperx[340].text 尤其在MOU投資的部分5000億美元 2500億美元的直接投資還有是一個政府保證的部分
transcript.whisperx[341].start 8546.864
transcript.whisperx[341].end 8572.706
transcript.whisperx[341].text 對我們這麼龐大的投資金額並不是只有在野黨質疑事實上我們前行政院副院長施俊錡大家也知道他過去在蔡英文政府擔任非常重要的一個財經官員他就質疑這樣的一個談判的結果不但是把這個台灣的經濟母拿走
transcript.whisperx[342].start 8573.606
transcript.whisperx[342].end 8601.619
transcript.whisperx[342].text 連未來可能衍生的雞雞蛋都拿走所以我必須要去提醒我們行政院針對這些應該還是要做全面性的來檢討跟補救另外我想請教一下行政院我剛才講這次非常重要的除了ART之外ART的文本已經在行政院的官方網站公布了對不對
transcript.whisperx[343].start 8603.137
transcript.whisperx[343].end 8620.532
transcript.whisperx[343].text 公布了MOU重不重要因為這兩個一定是並行的而且未來如果送進立法院MOU會不會送進來一定送那我想請教為什麼MOU的文本沒有公布是美國不讓我們公布的嗎
transcript.whisperx[344].start 8625.291
transcript.whisperx[344].end 8648.493
transcript.whisperx[344].text 還是我們自己覺得可以不用公布MOU的文本為何沒有公布現在所有的人都可以在網站上每一條都非常清楚這個是公開透明是到現在才公開透明MOU已經早在1月份就簽署了為什麼到現在還沒有公布可以回答嗎
transcript.whisperx[345].start 8650.654
transcript.whisperx[345].end 8668.164
transcript.whisperx[345].text 報告委員在1月15號跟商務部簽署MOU的時候其實商務部已經用face sheet事實文件幾乎將所有的內容都公布了我方也用正式新聞稿新聞稿公布我們過去用新聞稿公布嗎當時我們也跟美方這個
transcript.whisperx[346].start 8670.945
transcript.whisperx[346].end 8697.732
transcript.whisperx[346].text 說明 也跟社會說明未來會跟ART並送國會對 既然並送國會ART的文本已經逐條公佈但是MOU卻沒有逐條公佈老師說剛才院長沒有辦法回答我們副院長講得結結巴巴我希望現在不要再有黑箱作業絕對沒有黑箱MOU請 可不可以那你現在可不可以承諾
transcript.whisperx[347].start 8698.812
transcript.whisperx[347].end 8728.483
transcript.whisperx[347].text 明天就把MOU的每一條筆照ART每一條逐條公佈可不可以我們一定是MOU跟ART會並送國會我現在是問你公佈公佈嗎你到現在還不公佈當時有其內部的行政程序當時我們也說明會跟ART並送國會所以我想這一點的承諾包含ART包含MOU包含影響評估我們都會並送國會為什麼不公佈MOU的內容
transcript.whisperx[348].start 8728.703
transcript.whisperx[348].end 8752.924
transcript.whisperx[348].text 好到目前為止你還在繞喔副院長我不懂為什麼是因為怕醜嗎怕公布出來會遭到一些質疑嗎好那我再想請問一下來請問副院長我們在台灣的部分要送國會嘛對不對那在美國的部分如果要最後生效的話要不要送美國國會
transcript.whisperx[349].start 8754.586
transcript.whisperx[349].end 8780.267
transcript.whisperx[349].text 他們以行政命令當時IEPA的行政命令他們是不需要送國會不需要送國會嗎過去通通都要只要牽涉到關稅相關的台灣都要送國會他們會通知當時以IEPA的法源好我再請問一下他們會通知國會通知國會但是跟我國不一樣所以我們在第一次的談判就跟美方說我國的國會程序是法律保障
transcript.whisperx[350].start 8780.467
transcript.whisperx[350].end 8785.03
transcript.whisperx[350].text 我再請教一下因為所謂的生效要有它的程序請問一下USTR現在有上傳聯邦公告嗎
transcript.whisperx[351].start 8793.579
transcript.whisperx[351].end 8813.297
transcript.whisperx[351].text 因為我們在美國高院判決後因為美國最高法院判決違法所以現在UST1現在應該不敢去上傳聯邦公告好 我現在問一個很重要的問題來來 因為我時間有限我要問一個很重要的問題
transcript.whisperx[352].start 8814.358
transcript.whisperx[352].end 8835.302
transcript.whisperx[352].text 我們擔心因為美國最高法院的一個判決而使得它整個的程序被拖延事實上從副院長上個星期開完記者會到今天你的專案報告事實上我們去比對了之後沒有什麼差別這一個禮拜幾乎沒有差別
transcript.whisperx[353].start 8835.862
transcript.whisperx[353].end 8853.358
transcript.whisperx[353].text 按照院長今天早上回答其實我翻成白話文就是我們等消息我們等美國的消息所以如果這樣子一個遙遙無期因為最主要是根據IEPA的部分已經被判決違法
transcript.whisperx[354].start 8854.719
transcript.whisperx[354].end 8871.301
transcript.whisperx[354].text 那麼未來有沒有可能如果按照副院長 院長說這個ART MOU簽得多好多好我們不能跟動可是因為它現在有法律效力的問題它未來有沒有可能需要重簽
transcript.whisperx[355].start 8874.155
transcript.whisperx[355].end 8902.448
transcript.whisperx[355].text 這個我們現在要等美方沒有 您可能要請副院長講一下我們已經表達就是我們並不是重新談判而是在要後續的IEPA的法律基礎IEPA的法律基礎變動之後等美方它後續的法律框架安排之後我想這些訊息所以有沒有可能重簽我們雙方都希望鞏固既有的談判結果所以不排除後續的程序我們必須要有美方更明確的資訊所以不排除重簽
transcript.whisperx[356].start 8903.268
transcript.whisperx[356].end 8903.588
transcript.whisperx[356].text 重啟談判跟重簽不一樣嘛
transcript.whisperx[357].start 8921.735
transcript.whisperx[357].end 8924.957
transcript.whisperx[357].text 我們是希望確認雙方已經談判的內容確保我們這個成果也確認美方對這個談判內容給我們具體的說明你沒有聽懂我的意思我講得非常清楚我們其實要讓我們現在的ART或MOU要變成有效而且可以送進立法院
transcript.whisperx[358].start 8942.33
transcript.whisperx[358].end 8966.231
transcript.whisperx[358].text 老實說啦以我現在來看只有重簽一途我不是說重新談判重新談判跟重簽不一樣副院長應該聽懂了院長你們回去討論一下其實如果今天然後說我現在覺得我們在國會上應該可能遙遙無期不知道什麼時候送來好那我要請教的就是
transcript.whisperx[359].start 8967.345
transcript.whisperx[359].end 8987.408
transcript.whisperx[359].text 剛才賴思寶委員也問到就是因為你看到現在不管是這個要確定他的法律效率或者他未來的程序即便122條他的有效的期限150天好150天5個月那我想請問一下副院長
transcript.whisperx[360].start 8989.089
transcript.whisperx[360].end 9008.202
transcript.whisperx[360].text 因為現在政界 政壇一直在盛傳你是台北市長的熱門候選人的熱門人選但是現在看起來整個的談判 整個的未來整個的我們的ART跟MOU
transcript.whisperx[361].start 9009.042
transcript.whisperx[361].end 9033.141
transcript.whisperx[361].text 他的時間或者是未來我們的關稅我剛講一二條他長達五個月如果再啟動232條款的調查301條款的調查起碼半年以上我要請問一下副院長在這些都沒有抵定之前你會不會離開行政院副院長這是很重要工作你會不會去選舉
transcript.whisperx[362].start 9034.224
transcript.whisperx[362].end 9035.365
transcript.whisperx[362].text 那我可不可以理解成所以就關稅為主
transcript.whisperx[363].start 9054.002
transcript.whisperx[363].end 9080.052
transcript.whisperx[363].text 我想這裡是委員每個委員提醒我們應該要努力的目標這是我現在職責身為國家談判代表我最優先要做的事情就是在後續的變動中為我國國家及產業爭取最大利益所以整個我們會把談判的工作做好但是聽起來委員是好像很怕後面人去選舉的感覺沒有不是因為我們今天就在談我們台美關稅啊
transcript.whisperx[364].start 9081.292
transcript.whisperx[364].end 9086.093
transcript.whisperx[364].text 因為他現在充滿很多的變數嘛承認吧我沒有講錯吧承認很多的變數跟未知數理解吧所以我才問對 我知道所以
transcript.whisperx[365].start 9098.757
transcript.whisperx[365].end 9120.246
transcript.whisperx[365].text 對我剛才的理解是我剛才的理解是副院長的意思說會把整個我們台北對等關稅的談判包含貿易銜底包含MOU全部抵定之後你才會有其他的打算是這個意思嗎我心中沒有這個問題啊為什麼我要回答這個問題我現在心中的目標就是要鞏固
transcript.whisperx[366].start 9120.526
transcript.whisperx[366].end 9136.975
transcript.whisperx[366].text 副院長是率領我們的談判團隊談判團隊的代表之一國家會用政府的力量把所有談判的事情做到最好保障國家跟產業最大的利益選舉的事情那是另外一回事委員應該是關心的還是關稅吧我當然在關心關稅啊我剛才不是在講嗎應該討論關稅而不是討論選舉
transcript.whisperx[367].start 9143.018
transcript.whisperx[367].end 9163.497
transcript.whisperx[367].text 對啊 可是很重要啊因為你今天如果不是主談判人我就不會問你這個問題我有沒有問左院長這個問題我沒有問左院長這個問題啊他也是那個人選之一好 我們回到這個有關於我們這個台美對等關稅上面我今天特別想說我們台灣半導體不是偷來的
transcript.whisperx[368].start 9164.258
transcript.whisperx[368].end 9184.178
transcript.whisperx[368].text 我覺得這一點非常非常重要不是 絕對不是真的太重要了今天我看到聯合報有一個投書也許大家沒有看到叫做王博元如果台灣科技界跟半導體界都知道他是響噹噹的人物他還是我們工研院的院士
transcript.whisperx[369].start 9185.546
transcript.whisperx[369].end 9208.671
transcript.whisperx[369].text 就是幾十年來半導體產業很多人從李國鼎先生開始引進人才以及關鍵產業我們是一點一滴的把我們台灣半導體產業直視界的牛耳但是現在美國總統川普總統他一而再再而三的說我們是金面小偷
transcript.whisperx[370].start 9209.591
transcript.whisperx[370].end 9229.928
transcript.whisperx[370].text 所以我們偷走了美國的晶片所以我們台灣的半導體是偷來的我覺得適可忍 屬不可忍今天王伯源的意思就是他覺得這個事情是絕對不能讓它成為全世界大家誤以為台灣半導體業是偷來的
transcript.whisperx[371].start 9232.19
transcript.whisperx[371].end 9243.761
transcript.whisperx[371].text 我知道剛才我有看到賴思寶委員請兩位聲明就是我們不是晶片小偷我知道你們也有做這個聲明所以院長
transcript.whisperx[372].start 9245.598
transcript.whisperx[372].end 9262.506
transcript.whisperx[372].text 即便是貴為川普總統但是他一而再再而三的講出假訊息污衊台灣半導體業我們該抗議的時候是不是該抗議我們該證明的時候是不是該證明具體的事實是現在全世界各國都會向台灣
transcript.whisperx[373].start 9264.29
transcript.whisperx[373].end 9282.652
transcript.whisperx[373].text 採購他們所需要的半導體晶片如果我們這個途徑是不合法的我想我們沒有世界上這樣的地位也不可能有這樣的競爭力我們是從過去你說的那幾位重要的人士一點一滴到現在產業的自主研發才有現在的先進製程這麼好的良率
transcript.whisperx[374].start 9283.913
transcript.whisperx[374].end 9309.808
transcript.whisperx[374].text 所以您這個話我們都數次跟美方表達台灣的半導體是數十年來台灣能努力至今的成果所以我才會說這次談判我的感受就是世界看好台灣 需要台灣沒有錯 所以絕對川普總統的假訊息我們真的要蓋成心 一定要澄清另外因為我剩下一點點時間
transcript.whisperx[375].start 9311.674
transcript.whisperx[375].end 9336.879
transcript.whisperx[375].text 這個有關於因為之前一直在講包含賴總統都說希望國會趕快審就是我們立法院趕快審但是我們審什麼因為到現在沒有進來根本連送都沒有送進來另外全世界我也去查了其實世界各國除了像日本他的審查是比較快的但是包含歐盟歐盟還在審歐盟現在是
transcript.whisperx[376].start 9338.119
transcript.whisperx[376].end 9342.421
transcript.whisperx[376].text 現在是暫停審查因為他也是說我也不曉得現在到底是怎麼樣韓國也還在審好
transcript.whisperx[377].start 9375.751
transcript.whisperx[377].end 9383.037
transcript.whisperx[377].text 好 謝謝王宏威委員的質詢謝謝卓院長 鄭副院長 貝勳 謝謝我們接下來邱志偉委員質詢結束之後我們將會休息10分鐘我們請邱志偉委員請質詢
transcript.whisperx[378].start 9402.318
transcript.whisperx[378].end 9428.831
transcript.whisperx[378].text 好 謝謝主席是不是請行政院卓院長麻煩再請卓院長備詢這個會兩種截然不同的資訊風格我風格大概是比較理性比較溫暖好 這個先從您的報告結語Page 19
transcript.whisperx[379].start 9431.678
transcript.whisperx[379].end 9443.964
transcript.whisperx[379].text 從19頁您的結語來看第一個問題請教卓院長您的結語提到過去一年即使面對國際局勢變化全體國人百工百業共同努力經濟成長率8.63%出口達到6407.5億美金
transcript.whisperx[380].start 9451.832
transcript.whisperx[380].end 9476.119
transcript.whisperx[380].text 在一個相對險峻的一個產業經營環境一個國際貿易環境我們依然能夠達到經濟成長到8 接近9在世界是名列前茅最起碼亞洲第一吧超越日韓也是15年來我們的最高是啊所以出口是以創歷年來的新高面對過去一年險峻的經營環境跟國際貿易形勢的變動情況之下
transcript.whisperx[381].start 9480.908
transcript.whisperx[381].end 9502.616
transcript.whisperx[381].text 新的一年我認為是相對和緩雖然依然嚴峻 變數依然存在相對和緩度對於新的一年 剛過年結束了這個卓院長我對您的談判團隊是以他們為榮他們過去一年從去年4月2號開始到今年2月13號簽訂這個ART
transcript.whisperx[382].start 9511.278
transcript.whisperx[382].end 9535.997
transcript.whisperx[382].text 這個將近一年的過程是不眠不休真的是這個用盡全力我跟委員報告今天早上副院長還跟我說他到現在還很難晚上入眠他還在過美國時間所以我覺得非常非常以他們為榮也非常非常敬佩所以對國家利益對國家的未來他們只能放在前面
transcript.whisperx[383].start 9537.31
transcript.whisperx[383].end 9565.013
transcript.whisperx[383].text 為了國家未來的競爭力為了國民生活的福祉為了經濟發展他們不眠不休 全力以赴個人選舉算什麼呢國會議員不能把歌曲做小國會議員也要跟行政團隊一樣是關注國家的未來競爭力國民生活福祉跟產業競爭力對不對所以對期許未來新的一年這個總理長你跟你優秀團隊我對你們覺得百分之百的信心
transcript.whisperx[384].start 9566.738
transcript.whisperx[384].end 9576.222
transcript.whisperx[384].text 你認為新的一年我們表現會不會超越去年經濟成長率又增高我們出口也會再創新高新的一年我們在一月份的出口繼續創新高
transcript.whisperx[385].start 9578.345
transcript.whisperx[385].end 9604.765
transcript.whisperx[385].text 而且我們的股市發展到這一兩天之前我們是一直一直的創新高那這一兩天因為國際局勢的發展我們還是撐住我們基本所預先的一些研判這表示我們的經濟體質已經達到一種相對性穩定的狀況之下那因為我們經濟成長發展的這麼好政府應該更有多的能量時間把經濟發展的成果公平分配給所有世界
transcript.whisperx[386].start 9605.427
transcript.whisperx[386].end 9630.143
transcript.whisperx[386].text 所以預算就應該趕快省讓行政部門有更多的資源或是涵辦人我們來做公平的分配去做努力去為國家 為人民做努力預算不省國防預算不通過這個對國家未來是很致命的影響對人民的安全也是非常重要的打擊很遺憾的 這問題是在國會
transcript.whisperx[387].start 9633.45
transcript.whisperx[387].end 9657.156
transcript.whisperx[387].text 所以主委長你認為在新的一年從第一個月份開始我們依然這個勢頭一直往上但是也很慶幸我們聽到禮拜五國防的特別條例將行赴委那無論他赴委的版本有多少至少行政院版本赴委下去就代表國會有機會來看到行政院版本的內容我們就有機會來做說明
transcript.whisperx[388].start 9658.656
transcript.whisperx[388].end 9684.217
transcript.whisperx[388].text 說明之後我認為有相當的把握可以說服國會來支持向國家安全所需接著下去中央政府總預算也應該盡速的復違我們才能做更多社會公平分配的重要事項希望國會能夠確實檢討繼續往善良的方面前進是 謝謝委員我們看第一張圖就是整個過去一年的談判過程
transcript.whisperx[389].start 9685.746
transcript.whisperx[389].end 9708.208
transcript.whisperx[389].text 4月1號宣佈的時候我們是32%加MFN那種條件是這個對所有的產業這個信息面是很大的打擊很嚴苛對不對相對其他我們的相對競爭股但是從過去一年韓漢團隊不眠不休全力以赴的情況之下一輪 二輪 三輪 四輪 五輪
transcript.whisperx[390].start 9710.171
transcript.whisperx[390].end 9727.122
transcript.whisperx[390].text 到第四輪到去年8月7號我們從32%到20%對不對好最重要是到第五輪到第六輪第六輪就是台美這個投資合作備忘錄MOU對不對1月15號的時候
transcript.whisperx[391].start 9728.396
transcript.whisperx[391].end 9745.032
transcript.whisperx[391].text 好1月15號這個簽訂MOUMOU的這個成果在您的報告有提到就說MOU232232優惠不受影響這個對於這個法美國這個最高法院的判決無涉232條款沒有錯吧
transcript.whisperx[392].start 9748.235
transcript.whisperx[392].end 9761.707
transcript.whisperx[392].text MOU的成果包括報告裡面提到半導體衍生品一定關稅一定額度免關稅額外15%還有相關的營運所需要原料設備責任
transcript.whisperx[393].start 9763.069
transcript.whisperx[393].end 9786.003
transcript.whisperx[393].text 都豁免外關稅這些依然有效對不對是這依然有效另外MOU也確定台美雙向的投資機制這個投資機制有兩類大概我想這個主委很清楚一個是2500是企業自主投資另外一個是所謂的信保對不對這個是承諾是不是依然也不變是如果
transcript.whisperx[394].start 9787.472
transcript.whisperx[394].end 9815.263
transcript.whisperx[394].text 能夠確保我們已經得到的談判最優惠的待遇那談判是雙向是互相的投資也是雙向互相的所以我們可以履行我們的條件也希望美國履行他的條件所以這個內容就會是生效的這個所謂的這個投資的未來承諾或者這個投資雙向投資的機制會不會受到聯邦最高法院的這個約束232的部分是不受影響那投資機制呢投資機制包含在裡面
transcript.whisperx[395].start 9815.919
transcript.whisperx[395].end 9823.462
transcript.whisperx[395].text 也不受影響我們也會確實去但是雙方要共同遵守如果這個ARK的部分
transcript.whisperx[396].start 9824.042
transcript.whisperx[396].end 9848.379
transcript.whisperx[396].text 有任何的變動那會牽涉到比較複雜的結果所以我們希望一次也依照原來談定的協議互相遵守來生效我還沒談到ART就是到2月12號這個台北ART簽訂15%沒有疊加對不對是所有這個逆差國中最優惠的待遇232條款也是最優惠的待遇這個是非常難能可貴的這個成就
transcript.whisperx[397].start 9850.535
transcript.whisperx[397].end 9873.928
transcript.whisperx[397].text 所以你看這個賭 你看這個談判歷程你會覺得很感動一個化不可能為可能一個化把最不利的條件變成最有利的條件如果換成別的談判團隊不可能到這種成果所以我們要給他好彩 要鼓勵他們精神讓我們覺得非常感動
transcript.whisperx[398].start 9874.622
transcript.whisperx[398].end 9894.076
transcript.whisperx[398].text 所以早上我也說了我們除了對談判協議的內容得到最優惠的待遇我們感到非常慶幸之外我們也真的向國人展現我們是最專業的談判團隊所以真的以你們為榮然後這個ART的成果就是說15%不疊加另外這個2072項2072項蘇美產品豁免對等關稅
transcript.whisperx[399].start 9900.2
transcript.whisperx[399].end 9921.171
transcript.whisperx[399].text 那這個有沒有受到影響我想一定受到影響這有部分受到影響那受到影響他反映在哪裡反映在這個2月24號122條款他加徵現在目前是10%加疊加嘛共計150天150天就是5個月從2月20號公佈5個月就是到7月24號對不對
transcript.whisperx[400].start 9924.669
transcript.whisperx[400].end 9931.51
transcript.whisperx[400].text 他是暫行性的關稅7月24號到期之後他有說會提高到15%
transcript.whisperx[401].start 9934.985
transcript.whisperx[401].end 9957.253
transcript.whisperx[401].text 美國川普總統已經宣布說要到15%但是還沒有進一步的生效可預期在不久的未來可能會到15%這也是階段性的安排這個部分會影響到我們這個豁免的這個項目裡面豁免的項目裡面我們短掃了大概有400-500項總共剩下1649項豁免的這個項目
transcript.whisperx[402].start 9961.84
transcript.whisperx[402].end 9985.487
transcript.whisperx[402].text 大概少了400多家 豁免的部分就是原來是針對我國豁免的項目有些他現在是開放全世界的豁免所以我們相對競爭性就不見另外有一部分是對我們豁免的他現在取消了豁免我們變成10家MFN所以我們競爭性也受到一些傷害所以我們希望回到原來的ART的這個內容對我們豁免的部分要維持下去但您覺得
transcript.whisperx[403].start 9987.247
transcript.whisperx[403].end 10014.455
transcript.whisperx[403].text 回到ART的這個我們的所有談判的內容或是協議的內容你們覺得可能性大不大我覺得可能性是存在的而且依照美國現在發表出來的一些訊息以及全世界國家跟他現在互相之間的一些訊息都希望維持原來既有的談判內容讓他繼續生效如果這個基礎之上那我們就更有機會能夠確保已經獲得了最優惠的待遇
transcript.whisperx[404].start 10015.302
transcript.whisperx[404].end 10017.626
transcript.whisperx[404].text 所以曾立軍副院長要繼續留在韓漢的韓隊裡面
transcript.whisperx[405].start 10019.502
transcript.whisperx[405].end 10047.172
transcript.whisperx[405].text 他會繼續在談判團隊這段時間這個未來也是一個關鍵啊未來能不能確保R的內容能夠繼續去生效繼續維持因為未來還可能面對301這個冒掉232的項目擴大這也是新的挑戰如果這個談判團隊終於換手當然楊振寧談判團隊我也非常覺得對他放心我也覺得非常信任他他的專業能力當然我覺得是非常非常厲害
transcript.whisperx[406].start 10048.752
transcript.whisperx[406].end 10054.034
transcript.whisperx[406].text 到現在這個階段鄭麗君副院長帶領談判團隊這個工作沒有任何的改變
transcript.whisperx[407].start 10055.515
transcript.whisperx[407].end 10082.494
transcript.whisperx[407].text 想到他們努力真的以他為榮我真的覺得非常非常感動我不曉得這個韓院長韓院長韓院長我很感動不曉得您會不會感動對不起 時間暫停對不起 邱委員我說對於慘悍代表過去一年來所做的努力跟奉獻個人覺得非常感動也以他們為榮那卓院長希望怎麼樣韓院長你覺得是不是以他們為榮OK 你要擁抱一下卓院長嗎
transcript.whisperx[408].start 10084.082
transcript.whisperx[408].end 10107.276
transcript.whisperx[408].text 你也以他們為榮嗎我們都以所有認真的公務員我們都以他們為榮我們要為臺灣團隊一個掌聲連韓院長都對整個臺灣團隊以最大的肯定以他們為榮接著請教對農產品我想陳部長也在麻煩請農業部長備訓當然我的選區是石油廢毒的區農業很重要
transcript.whisperx[409].start 10113.803
transcript.whisperx[409].end 10118.827
transcript.whisperx[409].text 當然這個ART之後所122條款當然農業部有做相關的評估
transcript.whisperx[410].start 10122.437
transcript.whisperx[410].end 10144.068
transcript.whisperx[410].text 農業部的評估你們相關的立場評估好像也沒有什麼相對應的因應方案因為ART跟122條款是差距很大有很大的內容差別對整體農業產品消滅會有很大的差異我想請教一下農業部陳部長您覺得
transcript.whisperx[411].start 10145.749
transcript.whisperx[411].end 10168.78
transcript.whisperx[411].text 對於如果適用122未來可能會更嚴苛那對台灣農業產品這個消美這個我們有沒有更多的這個協助農業的做法我想跟委員做兩個面向的說明就是現在122條款本身我們是跟去年相比因為R的現在還沒有生效就是要跟去年相比那去年是20
transcript.whisperx[412].start 10169.878
transcript.whisperx[412].end 10184.455
transcript.whisperx[412].text 有疊加然後現在是10%也有疊加但是在去年的時候除了絕對關稅也要看競爭對手國的相對關稅那以蝴蝶藍來講荷蘭在去年的時候是15%我們是20%所以我們是相對略適
transcript.whisperx[413].start 10186.718
transcript.whisperx[413].end 10205.66
transcript.whisperx[413].text 但是在122條款裡面同樣都是15%疊加我們跟荷蘭就是在立足點平等所以我們的相對的競爭優勢有比去年還好這第一件事情第二件事情就是在ART裡面我們得到了27項專屬的豁免那蝴蝶蘭就是零
transcript.whisperx[414].start 10206.442
transcript.whisperx[414].end 10217.682
transcript.whisperx[414].text 胡彥恩是零這個部分並沒有不見因為針對ART裡面的內容我們正在跟美國積極的確認能夠確保我們談判的內容是可以執行的
transcript.whisperx[415].start 10218.775
transcript.whisperx[415].end 10237.619
transcript.whisperx[415].text 所以最希望我們還是要Lost art的內容即便是現在122條款所產生的這個也比去年的狀況還好我覺得還是會受到影響對農業的協助我想因為關稅本身在去年4月以前我們很多關稅都是零關稅 書門都是零關稅現在有關稅對於農民本身的確是一個負擔
transcript.whisperx[416].start 10244.401
transcript.whisperx[416].end 10261.755
transcript.whisperx[416].text 但是相對的這個部分我想在整個全球性的一致性的這樣的關稅之下我們的立足點是平等的時候那相對的我們會持續用我相信農業部已經有做最好的準備對 我們有用相關的基金也會持續的去爭取他的支持好 謝謝陳部長最後一個問題想請教經濟部廣東部長
transcript.whisperx[417].start 10264.881
transcript.whisperx[417].end 10278.634
transcript.whisperx[417].text 我也跟院長做個說明螺絲扣件或者鋼鋁這個部分並沒有在所謂的豁免自列鋼鋁232還是用50%的關稅當然對台灣金屬扣件鋼體業是一個很大的負擔
transcript.whisperx[418].start 10288.925
transcript.whisperx[418].end 10317.843
transcript.whisperx[418].text 那二五戰爭之後歐洲市場也沒有了亞洲市場被中國侵蝕了所以全球的六大洲市場大概只剩美國所以美國的關稅又那麼高就接受到中國非關稅的干擾我們的擴建的確面臨到寒冬針對金屬擴建在關稅上我們有沒有什麼未來爭取的方向跟努力的目標那是國務院長 國務部長是
transcript.whisperx[419].start 10318.596
transcript.whisperx[419].end 10341.221
transcript.whisperx[419].text 報告委員 所以這一次就是說除了我上一次9月3號有去高雄之外這一次本來ART簽訂以後因為就像您講的它50沒有改變所以我2月9號又下去一次跟他們一些座談好在是說扣件業者他們能力也非常的競爭條件或者是競爭能力也非常
transcript.whisperx[420].start 10373.154
transcript.whisperx[420].end 10375.435
transcript.whisperx[420].text 好 謝謝邱志偉委員質詢 謝謝卓院長 相關部委首長貝勤 謝謝
transcript.whisperx[421].start 10378.171
transcript.whisperx[421].end 10384.838
transcript.whisperx[421].text 我們謝謝范雲委員謝謝廖先祥委員謝謝謝龍介委員謝謝盧憲宜委員我們現在休息四分鐘
transcript.whisperx[422].start 11025.484
transcript.whisperx[422].end 11047.898
transcript.whisperx[422].text 抱怨會 我們現在繼續開會接下來我們請楊瓊英委員質詢鍾嘉斌委員請準備謝謝院會主席楊瓊英發言我們行政院左院長所領軍的團隊新聞界的朋友 各位同仁首先邀請左院長麻煩請左院長備詢
transcript.whisperx[423].start 11058.547
transcript.whisperx[423].end 11081.4
transcript.whisperx[423].text 委員長好最近美國關稅的法源變來變去最高法院也判決是違憲但是川普馬上又雕出了一個122條款他端出來我們行政院宣傳的ART也就是台美對等的貿易協定現在看來好像這個防禦力似乎有千瘡百孔
transcript.whisperx[424].start 11082.08
transcript.whisperx[424].end 11091.846
transcript.whisperx[424].text 在這樣的情況之下面對美國這種翻臉如翻書的關稅政策那麼政府我們現在都一直說持續的溝通
transcript.whisperx[425].start 11092.645
transcript.whisperx[425].end 11118.362
transcript.whisperx[425].text 所以本席今天我們希望能夠好好的來討論也就是針對於我們行政院針對於美國關稅的這個議題到底我們的底氣跟我們的準備所以我提出了三項的一個防線我們一起來討論首先賴總統告訴我們說我們取得了15%不疊加的好條件
transcript.whisperx[426].start 11119.142
transcript.whisperx[426].end 11140.852
transcript.whisperx[426].text 但是川普的122條款是在2月24號就已經生效同時我要請問這一刻台灣的工具機機械設備出口到美國到底我們是要適用於ART是不疊加還是被強迫吞下要122條款的15%疊加請教
transcript.whisperx[427].start 11144.332
transcript.whisperx[427].end 11160.117
transcript.whisperx[427].text 我想委員一定是希望我們用最好的因為這些產業跟委員是最有相關的我們一定要好好的照顧我們的產業所以我們要聽政府讓我們的民眾讓我們的產業他清楚不是不確定感是不是適用ART當然不是因為ART還沒有經過
transcript.whisperx[428].start 11161.57
transcript.whisperx[428].end 11184.573
transcript.whisperx[428].text 大院的審議還沒有生效因為你們還沒有送進來阿特根本沒有生效所以還沒有送進來這只是你剛剛說的我們現在底氣就是我們在阿特當中已經談到了最優惠的待遇這就是我們現在的底氣我們要把握這種最優惠的待遇跟委員一樣對你選區裡面的所有產業給他最好的照顧所以現在生效的是
transcript.whisperx[429].start 11185.37
transcript.whisperx[429].end 11201.455
transcript.whisperx[429].text 根據122的10%疊加MFN10%加MFN現在生效的這個那麼這個的之前是20%加MFN所以我們是往下降的所以現在工具G是14再加MFN就是14然後機械業是大概11.5
transcript.whisperx[430].start 11204.733
transcript.whisperx[430].end 11227.322
transcript.whisperx[430].text 所以再請教我們目前很多的未確定感那麼我們也說ART的還沒有送進來第二個也就是目前我們所謂的不疊加的這個部分所以要請教在這個持續過程當中本身要請教有哪些產業
transcript.whisperx[431].start 11228.983
transcript.whisperx[431].end 11239.046
transcript.whisperx[431].text 它是在關稅在15%的疊加之下它是關稅是不減反增你們有沒有去盤點過15%不疊加有沒有去盤點過所影響產業的產業別有哪一些是嚴重的影響請說明
transcript.whisperx[432].start 11249.056
transcript.whisperx[432].end 11258.74
transcript.whisperx[432].text 我再跟委員確定一下我們15不疊加這個是還沒有生效的所以根本沒有實施的這個好 院長你講到這個20%加MFN降到現在的10加MFN所以院長現在就是您說的民眾產業有很多的不確定感
transcript.whisperx[433].start 11267.683
transcript.whisperx[433].end 11282.722
transcript.whisperx[433].text 所以你們行政院有沒有尤其經濟部在這裡有沒有針對於產業的不確定感他們的一個緊張導致不知如何投資這些的產業別你們預計要怎麼做第一個我們請
transcript.whisperx[434].start 11286.614
transcript.whisperx[434].end 11315.201
transcript.whisperx[434].text 這個公股銀行為主的金融機構已經主動用電話詢問中小企業你到底在這個關稅的變動當中有哪些需要政府現在啟用我們已經有的產業支持的方案與貸款與整個協助的金融保證協助的有沒有問題這個已經打出數萬通的電話這個是金融機構的那麼經濟部方面到各地針對各產業從過去的產業之旅到現在的關懷之旅
transcript.whisperx[435].start 11316.818
transcript.whisperx[435].end 11327.116
transcript.whisperx[435].text 希望讓產業在現在這個衝擊沒有比以前大的情況底下能不能幫他轉手為攻讓他能夠吸引更多的訂單爭取更多的海外資源進來
transcript.whisperx[436].start 11328.206
transcript.whisperx[436].end 11357.366
transcript.whisperx[436].text 因為鮑委員在去年的時候因為是20加NFN然後關稅就浮來浮去大家心比較不硬訂單要不要貼對 心比較不硬你講到的這個是真實的面相但是今年因為10降下來了然後後續還會有ART所以心比較硬所以1月份那個訂單就很明顯的增加起來了那我們盡量在這段時間裡面需要我們幫助我們盡量先需要貸款的部分
transcript.whisperx[437].start 11358.382
transcript.whisperx[437].end 11376.961
transcript.whisperx[437].text 需要去參展 國際參展我們需要來協助需要轉型的部分我們來補助他們政府當然有責任要全面的尤其在我們的傳統產業裡頭它占了很多的就業率這一點是很重要所以因此在這樣條件之下還是有很多的不確定感
transcript.whisperx[438].start 11377.801
transcript.whisperx[438].end 11396.259
transcript.whisperx[438].text 剛剛卓院長也特別說了之前我們也一直要求行政院必須要針對於傳統產業怎麼樣協助他們能夠渡過難關所以在這樣的一個情況之下本席具體請教經濟部說產業支持目前你們是預計多少
transcript.whisperx[439].start 11397.628
transcript.whisperx[439].end 11402.212
transcript.whisperx[439].text 總共是930億那我們經濟部的是460億好 請教院長在剛剛我們從開始的20到現在一直講的這個過程還是變再變的情況之下請教這460億本席認為是不夠的
transcript.whisperx[440].start 11414.222
transcript.whisperx[440].end 11435.223
transcript.whisperx[440].text 所以行政院有沒有要再增加這個金額的一個規劃比如說現有的他們要怎麼樣渡過難關我的利息已經要繳不出來的情況之下我們會不會有第一個專案融資的一個額度
transcript.whisperx[441].start 11436.729
transcript.whisperx[441].end 11451.147
transcript.whisperx[441].text 來協助我們的產業第二個也就是舊有的利息有沒有減免的等項目的這些規劃請做說明我先跟委員說明我們原來設定這個產業支持的方案的內容880億到930億
transcript.whisperx[442].start 11455.084
transcript.whisperx[442].end 11461.609
transcript.whisperx[442].text 這個是依照32%的30%的關稅這個是當時我們具體要求的現在10%或15%委員剛剛說你認為不夠的我希望委員能告訴我們你認為哪裡不夠原來30%的時候我們訂了880億930億現在已經降到15%跟10%委員說哪裡不夠 告訴我們哪裡不夠
transcript.whisperx[443].start 11479.895
transcript.whisperx[443].end 11495.898
transcript.whisperx[443].text 院長 經濟部長在這裡我們知道我們的傳統產業目前是辛苦的目前是辛苦的所以我們才要要求政府必須要好好的來協助我們的傳統產業本期剛才所說的就有的利息你會不會減免
transcript.whisperx[444].start 11496.899
transcript.whisperx[444].end 11518.964
transcript.whisperx[444].text 現在是有這些方案什麼時候要執行就是但是還是有一些條件我們除了特別預算之外我們本來年度預算中間還有109億的中小微企業我們要實質的來落實所以本期剛剛請問了我已經就有的例行你們會不會有減免的方案會不會
transcript.whisperx[445].start 11521.985
transcript.whisperx[445].end 11545.445
transcript.whisperx[445].text 那請問什麼時候要落實已經開始做了已經開始實行了所以我們也擴大宣導了已經開始實施了你說你現在一定會實施啦我們的選統參加 大家認證的都這個啦那你說你要有條件說啦那表示說還有很多人沒有辦法去取得到協助啊
transcript.whisperx[446].start 11546.626
transcript.whisperx[446].end 11570.046
transcript.whisperx[446].text 那時候是講說你的業績要衰退10%嘛就可以有利息減免嘛那我們可以重新檢討如果要反手為攻的話是不是還要這樣好 就依據轉手為攻在不確定感的時候我們必須要去調整腳步我們要的立法院通過的預算就是要真正能夠落實在我們的產業讓他們可以站穩腳步啊
transcript.whisperx[447].start 11571.573
transcript.whisperx[447].end 11583.36
transcript.whisperx[447].text 對不對 您說的這些剛剛報告利息的減免補貼等等在特別預算當中是有的而且各位報告特別預算還沒有通過之前經濟部就以緩計及就先做了
transcript.whisperx[448].start 11584.465
transcript.whisperx[448].end 11611.648
transcript.whisperx[448].text 所以已經做很久了請你去盤點不是做很久現在產業希望能夠真正得到協助就誠如剛剛部長所說的我們的條件是怎麼樣那我們在目前的樣態裡頭你是不是應該要好好去檢討來調整這個腳步跟你的條件才能夠真正來落實照顧我們的傳統產業我們一直跟產業界有做座談會公協會也有
transcript.whisperx[449].start 11612.833
transcript.whisperx[449].end 11627.066
transcript.whisperx[449].text 那我們會隨時知道就是說企業界他們需要的幫助重點在哪裡只有本席剛才所提出的請你趕快去盤點給本席什麼時候可以落實好不好我們先做了有幾個幾家家屬的協助
transcript.whisperx[450].start 11628.147
transcript.whisperx[450].end 11645.275
transcript.whisperx[450].text 具體的案例可以跟委員提供已經做的本席告訴你的院長是沒有得到協助的你要怎麼樣去協助我們現在有這個產業輔導團是主動的去到各地方去了解說他們需要協助什麼
transcript.whisperx[451].start 11647.404
transcript.whisperx[451].end 11663.774
transcript.whisperx[451].text 然後診斷然後給他們協助好一個診斷但是產業界仍舊有需求所以我具體建議這個議題請你去盤點他們實際上需要的你的腳步怎麼去調真正能夠幫助我們的傳統產業這才是我們要的你多久時間可以給本席
transcript.whisperx[452].start 11667.036
transcript.whisperx[452].end 11691.622
transcript.whisperx[452].text 你調整的腳步調整的腳步就是我們隨時在調整啊但是到目前為止我可以寫一份這個報告給本席我們好好的來協助沒有得到協助的院長是沒有得到協助我們要怎麼樣去調整這才是一個重點所以我們已經主動關懷了那我也可以跟你的選區裡面的產業去了解一下如果你跟他們熟的話
transcript.whisperx[453].start 11692.162
transcript.whisperx[453].end 11696.991
transcript.whisperx[453].text 如果有困難告訴我們我們所以一個重點這是很重要因為我們的傳統產業務必一定要協助他們
transcript.whisperx[454].start 11704.517
transcript.whisperx[454].end 11732.459
transcript.whisperx[454].text 所以本席要說的因為目前為止美國的這個關稅體系呢他法源他隨時可以替換我想行政部門必須要好好的隨時去應對對不對當然第二個國安與產業的政策高度的政治化的時候在整個貿易的決策也深受了政治這個選舉戰略的考量這個也是我們務必要注意的最後一個最重要的
transcript.whisperx[455].start 11732.899
transcript.whisperx[455].end 11755.2
transcript.whisperx[455].text 也就是不確定性成為常態的時候那我們台灣企業所面臨到前所未有的營運風險這是政府的責任要好好讓他們有靠山對不對我們盡快把它形勢穩定下來所有的條件確定下來讓產業界有所依循他們就可以大膽的去多爭取一下院長你現在終於講出真心話
transcript.whisperx[456].start 11756.121
transcript.whisperx[456].end 11774.688
transcript.whisperx[456].text 你趕快把它確定讓我們產業可以安心這個就是本席一直在說的這一個不確定感因為確定企業它最畏懼的並不是關稅的一個高低的輸贏我相信企業咱台灣的求生人就有個數他最怕的是無止境的不確定感
transcript.whisperx[457].start 11775.388
transcript.whisperx[457].end 11802.984
transcript.whisperx[457].text 這一點是非常的重要所以我們深怕的是今天是IPA明天是122後天再轉回這個232條款或者是301這是我們所有的產業目前不確定感的一個最大的一個重點你點頭了也就是說如果這一些的現象它是常態化那台灣的供應鏈在3到5年的一個量產規劃的時候它要如何安排
transcript.whisperx[458].start 11803.621
transcript.whisperx[458].end 11824.227
transcript.whisperx[458].text 尤其他整個企業的財務他要如何大幅度的盈虧的一個變化要怎麼樣跟股東來交代所以本期要具體來建議我們的合約裡頭到底有沒有因為情勢變更的原則有退場的條件有退場的條款請問卓院長
transcript.whisperx[459].start 11825.45
transcript.whisperx[459].end 11838.526
transcript.whisperx[459].text 我們應該沒有所謂退場的條款在裡面好 院長你回答這個我們的合約沒有退場的條款所以這就是我們的民間以及產業心所畏懼的所以
transcript.whisperx[460].start 11842.691
transcript.whisperx[460].end 11871.526
transcript.whisperx[460].text 我們的政府也說232條款的半導體它是有最惠國的待遇不便但是122條款裡頭打擊的是全面性的商品所以我們還是要嚴正以待就誠如剛才所說的不夠需求的我們要怎麼樣加碼這應該是行政院你們基於在照顧我們所有的產業大家所一致的方向對不對委員非常關心您所處的縣市的產業
transcript.whisperx[461].start 11872.666
transcript.whisperx[461].end 11887.495
transcript.whisperx[461].text 當然我們心中一直都是為產業爭取最大利益那美國高院的判決232MO條款裡面的優惠待遇是不受影響的那至於傳產農業所攸關的對等關稅因為IEP法院發生變化
transcript.whisperx[462].start 11888.175
transcript.whisperx[462].end 11907.941
transcript.whisperx[462].text 美方他們現在變數是來自美方他們的判決以及後續的法律工具的重整我們是去因應這樣的一個變化我們要在變動中去鞏固我們產業的這個利益要鞏固我們取得談判結果我不知道委員您知不支持ART生效因為我想ART生效對您選區裡的產業是有幫助的
transcript.whisperx[463].start 11910.622
transcript.whisperx[463].end 11928.922
transcript.whisperx[463].text 對於傳統產業我們絕對全力的支持所以本席要提出我們並不是要退場我們也不是要重啟談判我們是要去鞏固既有的談判成果才是對我們的傳統產業跟農業的出口爭取到最大的利益所以本席要提出有最惠國的優惠是在半導體
transcript.whisperx[464].start 11930.043
transcript.whisperx[464].end 11947.418
transcript.whisperx[464].text 但是我們的農漁業我們的傳產所以本席具體提出第一個關於實質讓利於底線的部分要讓民眾清楚第二個情勢變更的這個機制要怎麼去做這是第二個第三個關於企業界關心的掏空台灣的長期風險
transcript.whisperx[465].start 11949.292
transcript.whisperx[465].end 11954.734
transcript.whisperx[465].text 產業還是有關係我們不希望這樣的情勢發生所以針對這三項具體書面報告給本席 好嗎沒有這樣的一個問題謝謝因為投資MOU就是雙方的供應好 謝謝楊卓英委員質詢 謝謝謝謝卓院長 曾副院長以及經濟部長備詢 謝謝接下來我們請鍾嘉斌委員質詢廖先祥委員請準備
transcript.whisperx[466].start 11989.884
transcript.whisperx[466].end 12018.198
transcript.whisperx[466].text 主席 在台上我的原先進列席的政府計劃長官員會長工作夥伴媒體記者女士先生我想就不用勞駕院長副院長因為你們是做決策的人接下來我要就教於我們農業部的陳部長請還有經濟部的龔部長請因為未來他們在政策的執行上需要我們院裡面來支持所以一定有你坐在那裡你就頂著就好我們部長做什麼承諾你就點頭全力支持好不好先休息一下 來陳部長 來龔部長
transcript.whisperx[467].start 12020.395
transcript.whisperx[467].end 12033.389
transcript.whisperx[467].text 來我的要點很單純農安基金要改善設備強化農業體質受到戰事波及我們的能源也要求多元求自主來我先看三個圖來看到什麼有三個產品陳部長蝴蝶藍對不對
transcript.whisperx[468].start 12034.844
transcript.whisperx[468].end 12060.881
transcript.whisperx[468].text 這是我們屏東的蝴蝶蘭 號稱蝴蝶蘭界的台積電人家是印鈔票 他的蘭花也等於在印鈔票另外有一個什麼 火鶴花這位老朋友30年了 混動很久還有一個不是那個年輕的帥哥 他手上拿著什麼青蛙 青蛙不是拿來吃的 是觀賞蛙部長再看 我們這個年輕人6年出口觀賞蛙到美國可以賺多少錢6年就3000萬
transcript.whisperx[469].start 12067.204
transcript.whisperx[469].end 12090.638
transcript.whisperx[469].text 他現在是美國一般的消費者市場裡面最大的供應商好 請教一下我們這一次IEPA因為我們的關稅優惠得而復失蝴蝶籠會不會受影響我們的那個觀賞花會不會受影響我們的火荷花會不會受影響這些都是我們的我們去爭取的這些專屬的豁免的對 那現在還有維持嗎
transcript.whisperx[470].start 12091.584
transcript.whisperx[470].end 12117.609
transcript.whisperx[470].text 那現在我想ART現在還沒有正式生效但是現在的122的時候並沒有這樣的一個專屬優惠的條件所以是10%但是它相對於去年的20%它還是有比較有相對的一個競爭力特別是在122條款裡面去年是20%是個地獄今年呢10%來到人間有沒有機會是0%上天堂有沒有辦法支持這業者
transcript.whisperx[471].start 12118.687
transcript.whisperx[471].end 12140.255
transcript.whisperx[471].text 我想這個零關稅在ART裡面的內容我們一定會去確保他並沒有不見我們現在正在跟美國做一個確認跟公布有沒有做一個最後的打算萬一不能恢復到0%還是維持10%的時候對這些我們能夠出口賺外匯的業者他的競爭力你怎麼支持他我想我們農安基金還是會持續的去支持包括我們農業部的本預算
transcript.whisperx[472].start 12141.145
transcript.whisperx[472].end 12165.36
transcript.whisperx[472].text 還是會持續那再以蝴蝶燈來講基本上第一個部分就是我們現在的花創中心已經把我們的產業園區跟研究單位結合在一起簡單講方法金額跟時程有沒有有沒有方法金額大概多少整個花卉部分大概金額大概是20億左右20億時程多少之後可以到位
transcript.whisperx[473].start 12166.109
transcript.whisperx[473].end 12190.384
transcript.whisperx[473].text 我想不是在談定的開始我們現在就已經開始在做了我們現在是用181億在做所以希望你其實去支持我們的蝴蝶蘭我們的火荷花還有我們的觀賞花好接下來下一個來義太魯美國進口的義太魯我跟部長你也知道我很關心洛農2013年台紐貿易自由協定之後我們從2025去年開始就零關稅
transcript.whisperx[474].start 12194.07
transcript.whisperx[474].end 12206.218
transcript.whisperx[474].text 結果我們看這幾年來從紐西蘭進口呢其實義太魯是持平但是進口的冰磚爐大量的提升會不會美國也開放零關稅之後也同樣的紐西蘭之後我們要受到美國義太魯的衝擊
transcript.whisperx[475].start 12207.915
transcript.whisperx[475].end 12229.503
transcript.whisperx[475].text 我要跟委員說明一件事情冰磚爐反而是下降你說紐西蘭的冰磚爐下降的對 就是沒有整個冰磚爐下降紐西蘭提高但是澳洲減少的非常多所以以去年來講整體的液態爐本身它大概只有0.8%的增幅大概600多噸部長我們要確認一下我們要說明我們的要講同樣一致
transcript.whisperx[476].start 12230.236
transcript.whisperx[476].end 12259.383
transcript.whisperx[476].text 因為冰磚爐這個東西是紐澳才有的啦美國沒有冰磚爐來啦美國跟紐澳都有液態爐但是冰磚爐只有紐澳結果我們要收通價扣的就是冰磚爐啦那冰磚爐我們很關心喔這幾年有提起來喔你們怎麼確定說那美國的液態爐要進來也就是說美國的液態爐是跟紐西蘭的冰磚爐比起來美國的液態爐相對沒有競爭力啦坦白說啦我們比較不擔心美國的液態爐啦我們比較擔心紐西蘭的冰磚爐啦
transcript.whisperx[477].start 12260.779
transcript.whisperx[477].end 12271.107
transcript.whisperx[477].text 去年來講以去年的資料整個冰磚堡減少了6.3%紐西蘭有提高但是澳洲減少了你預期美國的義太魯零關稅開放進口之後會不會衝擊到紐西蘭的佔有率
transcript.whisperx[478].start 12274.434
transcript.whisperx[478].end 12291.416
transcript.whisperx[478].text 他們兩個之間會競爭但是不會侵蝕到我們酪農的鮮乳以去年來講我們的政策的實施是對的所以整個的液態乳並沒有增加那我要跟你提醒冰鑽乳都用在業務乳業務乳就不是消費者自己去買的鮮乳
transcript.whisperx[479].start 12292.13
transcript.whisperx[479].end 12314.583
transcript.whisperx[479].text 他說放在我們的能飲店、手搖店他在裡面加鮮奶茶其實加的不是鮮奶加的是液態乳的還原乳農業部有什麼對策我們去年就用相關的這些手搖飲的店去推我們的鮮乳而且他們用了他們自己的瓶那限定用本土的酪農的乳才能標示為鮮乳本來是今年七月要上路 可不可以提早
transcript.whisperx[480].start 12315.185
transcript.whisperx[480].end 12343.478
transcript.whisperx[480].text 我想我們現在正在跟衛福部還有跟業者溝通因為去年公布的時候是7月那我們現在看業者本身是不是已經印了那個紙盒如果被託的話可不可以跟我們提前如果說可以的話業者也同意的話我們就願意提前我們也暫時呼籲消費者以後只要是買鮮奶茶鮮奶什麼東東的只要他的商品名品項有寫鮮奶現用本土肉農的鮮奶進口的不管冰磚乳液態乳通通不能用對不對不能標示為鮮奶是而且我們會強調台灣鮮乳唯一選擇
transcript.whisperx[481].start 12345.519
transcript.whisperx[481].end 12369.537
transcript.whisperx[481].text 另外這個就是我們進口我們的結論就是說美國進口的義太乳其實影響不大我們還是擔心紐西蘭的冰磚乳再下來那麼進口零關稅豬肉花生現在零關稅了有沒有影響我想豬肉是減半但是豬肉可以完全放心因為豬肉美國的市占率不到1%第一個部分目前在台灣進口豬肉最大眾的是不是加拿大加拿大而且為什麼
transcript.whisperx[482].start 12370.137
transcript.whisperx[482].end 12398.916
transcript.whisperx[482].text 美國進口的豬肉即使降稅到一半他還是比加拿大多四塊簡單講美國的豬肉關稅降了還是打不過加拿大但是台灣的消費市場加拿大已經緊繃啊不會影響到我們本土豬的銷售對不對市占率大概百分之五十五到百分之八十那花生呢大概八十五那花生呢花生本身是我們必須關注的但是我要跟委員分享一下就是雖然說美國進口的價格是比本土產的價格
transcript.whisperx[483].start 12400.373
transcript.whisperx[483].end 12427.135
transcript.whisperx[483].text 低但是我們要把價格戰變成價值的競爭請問一下美國進口的是有殼花生帶殼花生或脫殼花生現在進來的是調製花生他的去殼花生都沒有進簡單講如果進來的不是帶殼花生不影響我一般的零售消費市場但是如果是脫殼花生是食品加工使用如果說關稅越少成本越低食品加工業者
transcript.whisperx[484].start 12427.535
transcript.whisperx[484].end 12443.836
transcript.whisperx[484].text 他賣給消費者的價格就越低所以我這邊要坦強一點說要讓消費者知道美國的農產品進口台灣關稅下降如果不影響到本土農民的銷售而是降低了我食品加工業者的成本反而是消費者得利的你同不同意
transcript.whisperx[485].start 12444.434
transcript.whisperx[485].end 12473.091
transcript.whisperx[485].text 一部分是這樣子但是我要特別強調就是說花生的部分我們一定會扭轉現在目前的整個花生的一個產業結構我不要再讓花生在曬乾的地方用馬路來曬所以我們會用絲夾的方式去調整產業結構我要讓花生變成一個有價值的一個產業所以我們未來會從價格戰價格的競爭轉換成價值的競爭好 那加上農安基金請問農安基金農安基金可以用來補貼價格嗎
transcript.whisperx[486].start 12475.726
transcript.whisperx[486].end 12485.806
transcript.whisperx[486].text 我們是希望去我先問一下 農安基金如果補貼價格是違反國際貿易的那你農安基金要用在哪裡我想我們基本上會用在整個產業結構的調整上面
transcript.whisperx[487].start 12487.594
transcript.whisperx[487].end 12515.507
transcript.whisperx[487].text 去協助它提升它的一個效率具體來講是不是協助改善農民的生產設備譬如說酪農對不對好 我要告訴你目前我們的酪農最大的障礙不是酪農的生產技術是來自於小型的爐品加工廠太少因為我們現在三大爐廠 四大爐廠壟斷了我們的市佔率它在前面的進料的時候壓低了酪農的進價如果說可以多一點小型的中小型的這個爐品加工廠
transcript.whisperx[488].start 12516.167
transcript.whisperx[488].end 12544.726
transcript.whisperx[488].text 能夠讓弱農可以就地供應所以目前全台灣不超過20家小型的那個乳品加工廠農業部可不可以支持讓他們提升改善他們的設備來造福我們的弱農我們去年已經在做了就是讓小農的品牌自由品牌能夠提高它的一個效率跟它的市場區域所以你們會繼續的支持我們的弱農跟我們相對的乳品加工廠好謝謝那接下來我們來問一下來請問一下廣布長台積電赴美投資有何效益
transcript.whisperx[489].start 12546.186
transcript.whisperx[489].end 12554.752
transcript.whisperx[489].text 台積電現在的第一個廠已經開始賺錢了今年所以台積電去美國投產他是賺錢的會回饋他母公司我們看一看台積電董卓衛哲家說美國客戶對AI的需求非常強烈像是蘋果輝達在美國擴大產能他能支持客戶需求
transcript.whisperx[490].start 12568.527
transcript.whisperx[490].end 12597.77
transcript.whisperx[490].text 他說因為我到美國投資我接近我的客戶的需求端我更能夠及早了解客戶的需求這就是滬美投資的好處你同不同意因為他2024年第一個產2024年開始投產真正的投產因為前面是蓋廠開始投產今年就賺錢所以說去美國投資是接近客戶了解客戶的需求那有沒有辦法加深跟美國的技術合作有好那如果說可以掌握客戶需求及早滿足又能夠跟美國合作
transcript.whisperx[491].start 12598.8
transcript.whisperx[491].end 12626.095
transcript.whisperx[491].text 台積電到美國投資是不是就是強強聯手佈局全球是好 那我們先來看我們力量的延伸來 那目前美國的頂尖技術跟台灣的領先製造合作後創造一個飛鴻供應鏈在技術交流的情況之下台灣的技術資金跟美國的品牌跟研發我們有沒有可能來投資第三國來扮演原來台灣或者其他中國的組裝的角色比如說你最近常去哪裡 菲律賓對不對
transcript.whisperx[492].start 12630.837
transcript.whisperx[492].end 12653.99
transcript.whisperx[492].text 亞洲的半導體除了台灣之外就是馬來西亞就是檳城這兩個地方我最近常去我看到那邊非常的旺盛甚至菲律賓要開新的航線指揮越南河內為什麼因為他估計從中國昆山蘇州撤出來到河內的廠商總有一天要飛到菲律賓為什麼飛鴻供應鏈你認為值不值得我們台灣跟美國強強合作佈局全球投資第三國
transcript.whisperx[493].start 12655.352
transcript.whisperx[493].end 12674.946
transcript.whisperx[493].text 現在已經包括這個產業的相關的工協會已經開始有考量到到菲律賓去做群聚上的一些投資的部長請教一下你最近去了從去年一整年到現在你去了幾次可以講嗎菲律賓我上任以後有去過去過 字數不能講見了誰不能講
transcript.whisperx[494].start 12677.942
transcript.whisperx[494].end 12694.227
transcript.whisperx[494].text 那你覺得未來是不是鼓勵我們台灣的電子相關產業可以及早跟美國合作到菲律賓去佈局運用他那邊比較相對便宜的生產成本跟電力來做組裝來取代過去的中國現在的越南來行銷美國的市場
transcript.whisperx[495].start 12695.02
transcript.whisperx[495].end 12723.588
transcript.whisperx[495].text 是 我們當然還是要尊重廠商他們自主的意願如果有那樣的意願表達的話我們就會協助他們不管是行政上的協助或者是幫忙跟菲律賓來做溝通爭取到比較好的條件比如說投資的地方 Location還有什麼樣的條件還有行政上的協助這個我們是可以幫忙的簡單來講 我不是叫你報股市名牌我說如果今天問你說去菲律賓佈局投資你會不會推薦
transcript.whisperx[496].start 12724.83
transcript.whisperx[496].end 12744.649
transcript.whisperx[496].text 菲律賓是我們的政策其中很重要的一環可以啦 我們往下來看按照台灣在野黨的晶片國安法你覺得會對我們的晶片或半導體產業產生什麼影響國會亂檔 限制設廠規模 設定生產比例出去還要報告 跨國部會審查你覺得這可以嗎報告委員
transcript.whisperx[497].start 12746.383
transcript.whisperx[497].end 12766.609
transcript.whisperx[497].text 就是我們現在的投審機制我個人覺得還算蠻完備的我們要每一個廠去投資對外投資的時候我們都要考量他會不會涉及到國家安全第二個對整體產業的利益到底影響怎麼樣第三個他在國內的相對投資還有技術投資的情況所以簡單的結論 金面國安法沒有必要
transcript.whisperx[498].start 12767.386
transcript.whisperx[498].end 12788.426
transcript.whisperx[498].text 我們現在做的就已經夠了我覺得如果是這樣因為總統對外頭一直講的就是立足台灣佈局全球還有行銷全世界這三個話是要一起講的如果你只有立足台灣沒有去佈局全球的話沒有行銷全世界立足台灣是沒有辦法成立的
transcript.whisperx[499].start 12788.766
transcript.whisperx[499].end 12799.631
transcript.whisperx[499].text 所以如果按照在量的說法弄了一些芯片的國安法我們的產業會錯失先機企業不敢留下來而且夥伴會喪失信任未來高科技產業赴美投資或對外投資變成他的在野黨同意你覺得這合理嗎
transcript.whisperx[500].start 12801.236
transcript.whisperx[500].end 12828.659
transcript.whisperx[500].text 我覺得還是要回歸到這個產業上專業上來判斷就是我們剛才講國家安全跟整體產業利益還有國內的相對他的投資跟技術布局為了避免你得罪在野黨的黨團領袖我看前面是我的意見我看對外投資要管制總召進金免申報這是我們看到荒謬情況國民黨總召傅坤祺開議前傅忠林子成立新公事結果公佈門說國民黨團應該要考察要公佈考察報告他不講
transcript.whisperx[501].start 12829.249
transcript.whisperx[501].end 12859.041
transcript.whisperx[501].text 結果他們就主張說晶片國安法跟政府資金無關的這些高科技產業就要跟他們報告這是荒謬至極這是我的意見只准副總召進京不准高科技去連搶這個是我的意見好往下看來最大的LNG來源國卡達最近傳出停產怎麼辦能源自主能源危機怎麼辦目前我們現在波灣的產量占全世界一半以上那是不是占我國的八成有沒有
transcript.whisperx[502].start 12859.77
transcript.whisperx[502].end 12882.66
transcript.whisperx[502].text 沒有 如果以天然氣 天然氣比較多啦所以我們現在分散採購了嘛 對不對大概百分之三十左右那就是要經過荷姆斯海峽的啦我們現在三月份的這個來源已經確保了嘛所以說台灣其實並沒有天然氣集中從波灣進口的這樣的風險但是接下來我問你一個問題了但是我們的天然氣接收站如果量能不足
transcript.whisperx[503].start 12883.58
transcript.whisperx[503].end 12905.814
transcript.whisperx[503].text 遇到這樣的一個波彎他們那邊不出貨別的地方加強出貨我們沒有東西接怎麼辦這些進度跟設備來得及完工嗎所以我們現在為什麼要一直到四階的部分還有三階的部分希望能夠擴充它的這個儲藏量但是我們還是要跟附近所以希望你們把握進度不要耽擱最後一個問題就是能源自主我剛剛看到報宅
transcript.whisperx[504].start 12906.411
transcript.whisperx[504].end 12930.67
transcript.whisperx[504].text 地熱啊 結果中油呢 台灣中油失職啊完全沒有進度 是不是可以承諾一個目標什麼時候我們地熱開發能夠來補足國家的能源缺口他也不是沒有進度 他是打下去以後覺得溫度還不太好我了解 這種事情要看運氣 但是我修好 謝謝中加兵委員質詢 謝謝兩位部長備詢 謝謝
transcript.whisperx[505].start 12934.471
transcript.whisperx[505].end 12955.119
transcript.whisperx[505].text 接下來我們請今天質詢最後一位委員登記第22號廖先祥委員請質詢好 謝謝韓院長麻煩邀請我們卓院長 曾副院長麻煩再請卓院長 曾副院長備詢
transcript.whisperx[506].start 12963.727
transcript.whisperx[506].end 12987.87
transcript.whisperx[506].text 大家辛苦了 除了今天一整天在這邊被尋之外也在這邊跟談判團隊說聲感謝這一年來你們非常的努力 為中華民國在努力但感謝歸感謝 我必須說這一次的談判成果我認為談判的並不好這一次我們的談判成果我們很明確的拿到了我們要的那個蘋果也就是剛剛我們一再口中說的我們15%不疊加
transcript.whisperx[507].start 12989.13
transcript.whisperx[507].end 13010.454
transcript.whisperx[507].text 或者說323的後面等等的但是我們一直避談我們所付出的包括我們的內政被干涉包括我們未來對美國的一些投資這些都是我們用未來我們年輕人的工作的機會來換取現在國內的一個產業的一個安定這是一個交換我不敢說我一定對
transcript.whisperx[508].start 13011.144
transcript.whisperx[508].end 13036.258
transcript.whisperx[508].text 或者是誰對這個可能需要歷史去見證但是我們目前有遇到一些美國關稅的法定判這個判決剛剛許多委員都有關心但是我認為剛剛我們行政院的一個回覆回答的並不明確因為我們知道在這個關稅違法之後許多的企業都跟美國申請關稅的一個要退回我們這個當初的一個違法的關稅對不對那剛剛說這個關稅是很多是進口商繳的這是事實這是沒錯的
transcript.whisperx[509].start 13039.279
transcript.whisperx[509].end 13053.399
transcript.whisperx[509].text 但是我們今天要談的重點也是韓國他們的重點就是有很多是完稅交貨的這些進口的一些廠商我們要如何去協助他申請退稅這一點可不可以請我們講得更清楚一點
transcript.whisperx[510].start 13054.589
transcript.whisperx[510].end 13070.594
transcript.whisperx[510].text 想報告委員其實剛剛鍾嘉斌委員的質詢當中可以看到這次台美在232條款的談判裡面投資MOU我們談出來的並不是盧委員所說的所謂犧牲未來年輕人的機會而是在我們的產業實力的延伸
transcript.whisperx[511].start 13073.195
transcript.whisperx[511].end 13088.526
transcript.whisperx[511].text 在美國這個等一下我會再提我們先回答先回答退稅的問題好嗎我很快的會跟您委員報告我們結合市場結合客戶來這個AI需求成長的過程當中台美在美國合作打造供應鏈這是產業實力的延伸
transcript.whisperx[512].start 13088.906
transcript.whisperx[512].end 13108.133
transcript.whisperx[512].text 我們也會持續擴大投資台灣所以是一個加法的發展不是減法的發展這一點請委員放心而且我們所談出來台灣模式其實不是日本韓國的政府出資模式是更有利於我們產業在為我們的產業在美國爭取更好有今天聽一天了你可以回答我的問題了嗎我想今天這一點我們關稅
transcript.whisperx[513].start 13109.193
transcript.whisperx[513].end 13126.328
transcript.whisperx[513].text 退稅 我們怎麼協助這些DDP嘛 對不對DDP的模式企業如何退稅因為它涉及美國國內的法律程序那經濟部會邀請相關的專家跟我們產業界來說明我想這個部分是不是我們請國務部長可以說得更清楚一點嗎
transcript.whisperx[514].start 13127.989
transcript.whisperx[514].end 13149.317
transcript.whisperx[514].text 韓國很明確的就是指出他們要用國家隊要用團隊戰的方式來跟美國的政府提出包括訴訟或者是法律上的需求政府他不是當事人他沒有辦法當訴訟的主體但是他是背後的一個應援把所有的企業結合起來去跟美國的政府包括談判或者是官司的訴訟我們有辦法做到這一點嗎
transcript.whisperx[515].start 13150.148
transcript.whisperx[515].end 13170.998
transcript.whisperx[515].text 我們會應援但是我們的貿易模式基本上跟韓國不一樣韓國他是以大貿易商為主我們大部分都是幫美國的一些企業做代工業或是他的進口商委託下單所以貿易的型態不太一樣我直接問最簡單的一點韓國做得到的我們未來能不能做到
transcript.whisperx[516].start 13172.011
transcript.whisperx[516].end 13200.122
transcript.whisperx[516].text 如果說韓國未來有哪些具體協助企業退稅的方案我們是不是中華民國政府當作低標最起碼比照他來協助我們的企業可以做到嗎我們部長先說一下我們做的部分我們企業有這樣的需求的話我們當然會支持來做這樣的事情打團隊戰政府當後盾可能包括律師費用或是相關的一些行政程序上面的成本我們政府要來協助企業而不是讓企業問完我們他自己去單打獨鬥
transcript.whisperx[517].start 13201.226
transcript.whisperx[517].end 13215.888
transcript.whisperx[517].text 我的概念就是這樣而已可以嗎那個要看個案來看連自己的企業被收了違法的關稅的回答都這麼的模糊我是會比較擔心一點那你提出個案來我來協助
transcript.whisperx[518].start 13217.578
transcript.whisperx[518].end 13230.523
transcript.whisperx[518].text 每一個企業都是個案啊 每一個被縮水都是個案每一個DDP的企業都是個案啊剛剛鞏部長已經有說明了因為根據我們產業的樣態跟美國的貿易的模式因為因應美國內部的國內的法律程序我們一定要針對我們的特性來提供專業的意見我只是希望我們打團隊戰用國家隊的方式來協助這些企業那剛剛談到了我們的
transcript.whisperx[519].start 13248.571
transcript.whisperx[519].end 13273.97
transcript.whisperx[519].text 那這一次美國的司法最高法院他是判決的一個精神是對外貿易的權利在於國會而不是單單的在focus關稅這一點上面沒錯所以說我們剛剛你們一再提及說我們現在的ART正在等美國確定他的法令基礎嘛對不對然後之後才會來重新送到我們的國會才會送到我們的國會你們剛剛是這樣講嘛對不對
transcript.whisperx[520].start 13275.54
transcript.whisperx[520].end 13299.476
transcript.whisperx[520].text 那我們如何確認如果說美國說他又依據了哪一個法令的基礎但是他同樣沒有依照憲法沒有國會的授權我講得非常清楚美國最高聯邦法院的判決對美國對外貿易的權利來自於國會行政權是不能逾越的除非立法機構授予他的權利這點應該您比我還清楚
transcript.whisperx[521].start 13299.98
transcript.whisperx[521].end 13326.223
transcript.whisperx[521].text 那美國未來如果提出來的一個法令基礎沒有經過國會的授權我們會認賬嗎還是說你們會做怎樣的判斷其實這些判決文都公開委員其實可以更詳細看一下他美國高院的判決是判決說當時對等關稅川普總統援引IEPA的這個權利逾越他的權限而失效所以他未來我不知道他會援引什麼法令對不對我們現在還不知道
transcript.whisperx[522].start 13327.204
transcript.whisperx[522].end 13341.702
transcript.whisperx[522].text 那你未來如何判斷川普已經有一次失敗的例子了那他下一次再提的你們要照單全說嗎還是你們要怎麼來判斷這是一個假設性的問題你假設川普政府會第二次引用一個錯
transcript.whisperx[523].start 13342.763
transcript.whisperx[523].end 13359.9
transcript.whisperx[523].text 一個法律工具我們不知道錯不錯誤我們不知道會不會錯誤但是我們必須要避免可能的風險嘛對不對我們不能簽了之後我們設廠投資了我們承諾都做到了最後這個ART最後又被美國有很多法律工具也不是我們在這裡去指導說
transcript.whisperx[524].start 13361.241
transcript.whisperx[524].end 13380.2
transcript.whisperx[524].text 所以我說我們未來在怎麼樣的去判斷美國剛剛你們一直在提及說我們在等美國重構他的法理基礎嘛對不對那當他提出他的法理基礎了我們要怎麼判斷他這個法理基礎他提了我們就認嗎還是你們會有你們的判斷他必須要說明他的依據是怎麼樣
transcript.whisperx[525].start 13381.721
transcript.whisperx[525].end 13399.334
transcript.whisperx[525].text 符合現在雙邊談好的這個協議的內容他依據的法律的工具是什麼告訴我們法律的依據因為他現在公佈122條款其實2月24號就生效了嘛10加MA分嘛那他對各國都課這個122條款下10加MA分他就生效了
transcript.whisperx[526].start 13399.834
transcript.whisperx[526].end 13412.422
transcript.whisperx[526].text 所以我們政府要做的當然是說在這個他122的過渡期這當中我們看他比原來20家有沒有降低了但我們仍然我們的這個支持方案仍然持續的支持我們會不會去評估這個法理基礎的合法性
transcript.whisperx[527].start 13417.705
transcript.whisperx[527].end 13443.727
transcript.whisperx[527].text 任何可能 我們當然都會去整體的關注跟評估我在第一時間新聞稿 記者會都說明了不管它援引什麼樣的法律工具我們都會去密切的關注所以你們會去判斷它援引的法律你們會去判斷 可能去找美國的專業的法律律師去判斷它是不是合理的嘛 對不對而不是照單權說嘛我們的OTM辦公室都有但是我們仍然要因應嘛
transcript.whisperx[528].start 13444.087
transcript.whisperx[528].end 13447.051
transcript.whisperx[528].text 對我只是要避免我們只是要避免我們簽的一個東西因為他已經有過一次被判決違法的經驗了我們要避免
transcript.whisperx[529].start 13459.827
transcript.whisperx[529].end 13485.548
transcript.whisperx[529].text 我們付出了之後這樣的事情再次發生所以我們在法律上面的一個判讀是非常重要的這也是我們後來我們行政院我們談判團隊後來必須之後要密切注意的一個地方其實報告委員我們的行政院記者會都把122 301然後201 338所有的法律的這個它原用的可能的法律工具它的程序性質法源都說明清楚了
transcript.whisperx[530].start 13485.948
transcript.whisperx[530].end 13510.251
transcript.whisperx[530].text 我想在我們當時的記者會都有說明我們也會密切關注但是我們不能只是關注嘛我們談判團隊要做就是不論他後續的法律工具如何安排我仍然必須要聯繫溝通確保我們取得的談判結果對 談判結果當然認不認同剛剛講的這個是我們認知上面的落差我沒有說你一定要接受我的觀念我也不一定要全部接受你的觀念他的法理基礎我就要確認他
transcript.whisperx[531].start 13511.311
transcript.whisperx[531].end 13534.885
transcript.whisperx[531].text 未來會被判決違法的一個風險我們是必須要先事先考慮的我只是提醒我們的行政團隊那第二個問題假設我們這個ART簽了對不對那在這次122的一個10加MFN的一個關稅這個制度下面我們大概有400項原本ART裡面被豁免的部分它是沒有被涵蓋在內對不對
transcript.whisperx[532].start 13536.792
transcript.whisperx[532].end 13547.737
transcript.whisperx[532].text 是這樣子嗎對不對?工業部門是444項有些產業可能數字我沒有那麼清楚27項專屬的原來在ART裡面專屬27項沒有那如果說我們未來在談ART的時候我們勢必是要去爭取這一些項目是維持那這樣對你們來說就不是簽原本的ART了對不對?
transcript.whisperx[533].start 13567.584
transcript.whisperx[533].end 13584.075
transcript.whisperx[533].text 那我現在請教一個問題啦假設ART 我假設一種情況ART現在我們簽署了 生效了那美國他現在寄出122這個條款目前剛剛講的400多項的供應產品他會被課什麼樣的稅我如果假設現在生效 他是試用ART還是試用10加MNF
transcript.whisperx[534].start 13591.443
transcript.whisperx[534].end 13613.855
transcript.whisperx[534].text 你一直用假設那現在狀況是我原來簽的這個R的內容是沒有生效的那現在是10加MFN我們要去預判情形嘛我們都已經公開說明了美國政府也對世界各國都說了122是一個階段性的措施現在我們要關注的是122之後到後續要接軌的法律工具
transcript.whisperx[535].start 13614.415
transcript.whisperx[535].end 13637.731
transcript.whisperx[535].text 所以我們在這個過渡的過程當中未來他要走向什麼樣的法律架構我們依然要 假設這150天內這150天內好了我們簽好了他們提出法律的架構了基礎了我們立法院也同意了那他到時候會適用哪一邊的法律哪一邊的條文是適用ART還是適用10加MFN就是那些剛剛提到的被排除在外的那些項目
transcript.whisperx[536].start 13638.511
transcript.whisperx[536].end 13654.105
transcript.whisperx[536].text 應該是一二二的階段性措施之後過渡他新的法律工具所以我們最終要確認是他後面的法律工具的安排所以他會先適用10加MNF嗎對不對你們不太願意講但是我的理解他應該是適用10加MNF是嗎
transcript.whisperx[537].start 13655.726
transcript.whisperx[537].end 13675.796
transcript.whisperx[537].text 10加MFN只是一個過渡過渡期間他就是適用這些在4月2號公佈對等關稅我國是32加上MFN當時美國也公佈一個暫時性的10加MFN讓各國來談判這個10加MFN當時一直持續到7月我只是在提啦剛剛你們一再提ART這個架構裡面的內容你們認為不宜去調整的
transcript.whisperx[538].start 13679.54
transcript.whisperx[538].end 13688.709
transcript.whisperx[538].text 但是你不去調整如何去保護那一些當初沒有被涵蓋在內的那400多家的企業我覺得這是你們要去思考的
transcript.whisperx[539].start 13690.247
transcript.whisperx[539].end 13709.801
transcript.whisperx[539].text 你們希望涵蓋在內就代表你們按照原本的韓文他是沒有被涵蓋在內的嘛對不對就是要滾過ART才能夠持續拿回因為我剛剛問你ART生效的時候在150天之內的情況下ART生效的話他是適用哪一邊嘛
transcript.whisperx[540].start 13710.862
transcript.whisperx[540].end 13728.959
transcript.whisperx[540].text 我們希望維持R的內容啊所以是用R還是10加MNF那400多項10加MNF那個就已經是暫時性了那150天內嘛之後會過渡掉嘛那過渡掉我們就希望說最後面的他過渡不會為了中華民國過渡啊他一定是全球一起豁免啊或一起取消啊
transcript.whisperx[541].start 13730.741
transcript.whisperx[541].end 13753.917
transcript.whisperx[541].text 對不對報告委員 我再重更委員報告這個美國貿易代表已經說明了 格瑞爾大使已經說明了122是一個階段性的措施但150天內是122嘛 之後其他的嘛對不對所以我一直在問你一直在問你這五個月內的時間內嘛五個月後當然是用新的嘛對不對 我當然了解啊我是問你五個月內啊你都不敢
transcript.whisperx[542].start 13755.158
transcript.whisperx[542].end 13770.429
transcript.whisperx[542].text 就試用五個月內假設ART生效試用誰如果是時間不一定是五個月因為他說極限是150天那這個是要美方政策的變動嘛所以我也請委員你可以密切關注一下美國政府
transcript.whisperx[543].start 13771.229
transcript.whisperx[543].end 13775.172
transcript.whisperx[543].text 我們現在在等美國的回應不要說我們都在批評還是什麼樣子的我剛一開始就先感謝你們的付出我們在討論怎樣為中華民國更好
transcript.whisperx[544].start 13796.265
transcript.whisperx[544].end 13816.074
transcript.whisperx[544].text 其實在我們這四個ART的文本裡面有一項其實國人普遍非常支持的其實美國也要求的那一項你知道什麼嗎美國製造的車輛進口零關稅我覺得在等待的這段期間你們一部分可以跟美國釋出善意
transcript.whisperx[545].start 13816.601
transcript.whisperx[545].end 13825.215
transcript.whisperx[545].text 一部分也滿足國內民眾對於購買自車零關稅的一個期待或許我們這一條可以先上路你認為呢
transcript.whisperx[546].start 13826.161
transcript.whisperx[546].end 13846.997
transcript.whisperx[546].text 我們更要照顧到汽車相關產業所以我們是全盤在考量不是說關稅進來沒有買的人很誠意這樣就好那產業國內產業我們還要經濟部還要全力去維護這個產業的生存跟產業未來能夠繼續能夠在合理的你簽了之後也是要維護嘛對不對你先開放也是要維護嘛都是要維護啊
transcript.whisperx[547].start 13848.755
transcript.whisperx[547].end 13867.578
transcript.whisperx[547].text 是吧 簽了之後也是要維護嘛對不對因為你現在如果說同時成立同時生效以後是包括美國來的汽車零組件也是我認為在談判的過程中我們有一些對美方可能不太同意的部分我們希望說再正確
transcript.whisperx[548].start 13876.65
transcript.whisperx[548].end 13900.751
transcript.whisperx[548].text 好 謝謝廖先祥委員的質詢謝謝卓院長 政府院長 經濟部長備詢謝謝報告委員會本日排定質詢的委員均已經質詢完畢非常感謝卓院長 政府院長以及相關部會首長列席答詢我們現在做一下決定一 請各委員發言記錄及書面質詢涵送行政院請就位答覆部分與書面答覆二
transcript.whisperx[549].start 13901.371
transcript.whisperx[549].end 13914.575
transcript.whisperx[549].text 已提出之書面質詢尚未登載公報者一律補刊再一次感謝盧憲宜委員謝榮介委員陪同我們參與今天的專案報告現在散會辛苦啊