iVOD / 160162

Field Value
IVOD_ID 160162
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160162
日期 2025-04-15
會議資料.會議代碼 院會-11-3-7
會議資料.會議代碼:str 第11屆第3會期第7次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 7
會議資料.種類 院會
會議資料.標題 第11屆第3會期第7次會議
影片種類 Clip
開始時間 2025-04-15T10:47:28+08:00
結束時間 2025-04-15T11:18:28+08:00
影片長度 00:31:00
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ff8fb8a229f5b3ff9985b3670cf9e9ca07f87cc90aeb78e39b53bf68f23d1bafee4908f1f42fde8f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪孟楷
委員發言時間 10:47:28 - 11:18:28
會議時間 2025-04-15T09:00:00+08:00
會議名稱 第11屆第3會期第7次會議(事由:一、覆議案之處理事項(4月11日上午)。二、行政院院長提出針對美國關稅政策因應作為專案報告並備質詢(4月11日下午)。三、對行政院院長提出施政方針及施政報告繼續質詢(4月15日)。四、4月11日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 7.00034375
transcript.pyannote[0].end 9.19409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 9.34596875
transcript.pyannote[1].end 10.86471875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 20.73659375
transcript.pyannote[2].end 21.98534375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 22.17096875
transcript.pyannote[3].end 27.73971875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 27.89159375
transcript.pyannote[4].end 30.42284375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 30.76034375
transcript.pyannote[5].end 34.32096875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 34.69221875
transcript.pyannote[6].end 35.56971875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 36.04221875
transcript.pyannote[7].end 44.39534375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 44.73284375
transcript.pyannote[8].end 52.07346875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 52.93409375
transcript.pyannote[9].end 56.66346875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 58.09784375
transcript.pyannote[10].end 59.58284375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 60.02159375
transcript.pyannote[11].end 65.26971875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 65.74221875
transcript.pyannote[12].end 76.47471875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 76.86284375
transcript.pyannote[13].end 77.48721875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 77.87534375
transcript.pyannote[14].end 85.78971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 86.21159375
transcript.pyannote[15].end 90.81846875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 88.70909375
transcript.pyannote[16].end 88.84409375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 91.03784375
transcript.pyannote[17].end 92.77596875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 91.61159375
transcript.pyannote[18].end 92.82659375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 93.46784375
transcript.pyannote[19].end 102.42846875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 103.86284375
transcript.pyannote[20].end 104.70659375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 104.94284375
transcript.pyannote[21].end 106.09034375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 106.57971875
transcript.pyannote[22].end 111.87846875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 112.16534375
transcript.pyannote[23].end 114.03846875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 113.66721875
transcript.pyannote[24].end 113.70096875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 114.03846875
transcript.pyannote[25].end 114.30846875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 114.30846875
transcript.pyannote[26].end 114.84846875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 114.84846875
transcript.pyannote[27].end 119.28659375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 119.23596875
transcript.pyannote[28].end 119.25284375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 119.25284375
transcript.pyannote[29].end 119.53971875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 119.47221875
transcript.pyannote[30].end 122.03721875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 119.53971875
transcript.pyannote[31].end 119.69159375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 119.79284375
transcript.pyannote[32].end 119.97846875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 122.03721875
transcript.pyannote[33].end 122.40846875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 122.40846875
transcript.pyannote[34].end 122.45909375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 122.77971875
transcript.pyannote[35].end 130.17096875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 130.17096875
transcript.pyannote[36].end 131.90909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 130.20471875
transcript.pyannote[37].end 130.22159375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 130.22159375
transcript.pyannote[38].end 130.94721875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 130.94721875
transcript.pyannote[39].end 130.98096875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 132.60096875
transcript.pyannote[40].end 138.27096875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 138.62534375
transcript.pyannote[41].end 139.50284375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 140.14409375
transcript.pyannote[42].end 145.51034375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 145.96596875
transcript.pyannote[43].end 164.19096875
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 164.46096875
transcript.pyannote[44].end 167.44784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 167.44784375
transcript.pyannote[45].end 169.99596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 170.33346875
transcript.pyannote[46].end 180.62721875
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 170.36721875
transcript.pyannote[47].end 171.63284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 171.63284375
transcript.pyannote[48].end 171.66659375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 172.52721875
transcript.pyannote[49].end 174.97409375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 179.73284375
transcript.pyannote[50].end 184.39034375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 185.58846875
transcript.pyannote[51].end 185.60534375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 185.60534375
transcript.pyannote[52].end 192.92909375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 193.57034375
transcript.pyannote[53].end 198.32909375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 198.58221875
transcript.pyannote[54].end 207.96471875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 207.96471875
transcript.pyannote[55].end 209.41596875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 209.63534375
transcript.pyannote[56].end 215.03534375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 215.03534375
transcript.pyannote[57].end 216.46971875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 216.84096875
transcript.pyannote[58].end 226.84784375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 220.68846875
transcript.pyannote[59].end 222.93284375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 225.54846875
transcript.pyannote[60].end 230.72909375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 226.93221875
transcript.pyannote[61].end 227.10096875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 229.68284375
transcript.pyannote[62].end 230.49284375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 231.23534375
transcript.pyannote[63].end 237.51284375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 237.96846875
transcript.pyannote[64].end 240.22971875
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 240.28034375
transcript.pyannote[65].end 240.58409375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 240.63471875
transcript.pyannote[66].end 250.81034375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 250.81034375
transcript.pyannote[67].end 258.16784375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 251.21534375
transcript.pyannote[68].end 252.29534375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 255.50159375
transcript.pyannote[69].end 256.86846875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 256.98659375
transcript.pyannote[70].end 263.97284375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 264.37784375
transcript.pyannote[71].end 265.52534375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 266.08221875
transcript.pyannote[72].end 267.34784375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 267.34784375
transcript.pyannote[73].end 267.38159375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 268.14096875
transcript.pyannote[74].end 273.25409375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 272.25846875
transcript.pyannote[75].end 272.73096875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 272.73096875
transcript.pyannote[76].end 272.76471875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 273.79409375
transcript.pyannote[77].end 277.72596875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 276.52784375
transcript.pyannote[78].end 276.93284375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 278.08034375
transcript.pyannote[79].end 288.96471875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 278.11409375
transcript.pyannote[80].end 278.97471875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 278.97471875
transcript.pyannote[81].end 280.83096875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 288.96471875
transcript.pyannote[82].end 289.13346875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 289.13346875
transcript.pyannote[83].end 289.15034375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 289.15034375
transcript.pyannote[84].end 289.16721875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 289.43721875
transcript.pyannote[85].end 289.45409375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 289.45409375
transcript.pyannote[86].end 289.85909375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 289.85909375
transcript.pyannote[87].end 290.02784375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 290.07846875
transcript.pyannote[88].end 290.11221875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 290.11221875
transcript.pyannote[89].end 291.58034375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 291.79971875
transcript.pyannote[90].end 293.58846875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 294.21284375
transcript.pyannote[91].end 309.09659375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 309.09659375
transcript.pyannote[92].end 309.13034375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 309.45096875
transcript.pyannote[93].end 309.97409375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 309.53534375
transcript.pyannote[94].end 309.55221875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 309.55221875
transcript.pyannote[95].end 309.95721875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 309.97409375
transcript.pyannote[96].end 315.50909375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 313.18034375
transcript.pyannote[97].end 313.58534375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 313.97346875
transcript.pyannote[98].end 314.20971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 315.72846875
transcript.pyannote[99].end 315.81284375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 315.81284375
transcript.pyannote[100].end 315.82971875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 315.82971875
transcript.pyannote[101].end 315.99846875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 315.99846875
transcript.pyannote[102].end 322.54596875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 322.81596875
transcript.pyannote[103].end 323.06909375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 323.45721875
transcript.pyannote[104].end 328.97534375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 329.88659375
transcript.pyannote[105].end 331.32096875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 331.59096875
transcript.pyannote[106].end 336.01221875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 335.30346875
transcript.pyannote[107].end 335.43846875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 336.26534375
transcript.pyannote[108].end 336.31596875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 336.31596875
transcript.pyannote[109].end 342.91409375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 336.38346875
transcript.pyannote[110].end 336.68721875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 343.60596875
transcript.pyannote[111].end 344.02784375
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 344.50034375
transcript.pyannote[112].end 345.44534375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 346.25534375
transcript.pyannote[113].end 361.03784375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 350.27159375
transcript.pyannote[114].end 351.13221875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 357.30846875
transcript.pyannote[115].end 357.76409375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 361.03784375
transcript.pyannote[116].end 363.02909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 364.19346875
transcript.pyannote[117].end 368.74971875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 368.91846875
transcript.pyannote[118].end 371.50034375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 371.92221875
transcript.pyannote[119].end 378.21659375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 376.54596875
transcript.pyannote[120].end 381.76034375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 382.13159375
transcript.pyannote[121].end 384.93284375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 382.99221875
transcript.pyannote[122].end 385.99596875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 386.08034375
transcript.pyannote[123].end 390.40034375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 390.67034375
transcript.pyannote[124].end 393.69096875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 391.71659375
transcript.pyannote[125].end 391.75034375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 391.75034375
transcript.pyannote[126].end 391.93596875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 391.93596875
transcript.pyannote[127].end 391.98659375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 393.69096875
transcript.pyannote[128].end 393.74159375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 394.21409375
transcript.pyannote[129].end 398.23034375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 398.46659375
transcript.pyannote[130].end 399.44534375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 399.96846875
transcript.pyannote[131].end 402.12846875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 402.38159375
transcript.pyannote[132].end 404.44034375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 404.74409375
transcript.pyannote[133].end 407.76471875
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 408.27096875
transcript.pyannote[134].end 408.64221875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 408.97971875
transcript.pyannote[135].end 413.41784375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 413.78909375
transcript.pyannote[136].end 427.84596875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 428.18346875
transcript.pyannote[137].end 431.32221875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 429.78659375
transcript.pyannote[138].end 443.55659375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 443.97846875
transcript.pyannote[139].end 445.26096875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 445.56471875
transcript.pyannote[140].end 448.02846875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 449.04096875
transcript.pyannote[141].end 457.02284375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 457.71471875
transcript.pyannote[142].end 459.16596875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 459.80721875
transcript.pyannote[143].end 462.42284375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 463.06409375
transcript.pyannote[144].end 464.14409375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 464.70096875
transcript.pyannote[145].end 466.21971875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 466.45596875
transcript.pyannote[146].end 468.90284375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 469.07159375
transcript.pyannote[147].end 470.01659375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 470.70846875
transcript.pyannote[148].end 471.70409375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 472.19346875
transcript.pyannote[149].end 474.75846875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 477.20534375
transcript.pyannote[150].end 483.70221875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 484.96784375
transcript.pyannote[151].end 488.29221875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 486.92534375
transcript.pyannote[152].end 491.39721875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 489.94596875
transcript.pyannote[153].end 491.46471875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 491.80221875
transcript.pyannote[154].end 495.64971875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 494.38409375
transcript.pyannote[155].end 512.82846875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 498.41721875
transcript.pyannote[156].end 498.43409375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 498.43409375
transcript.pyannote[157].end 498.45096875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 498.45096875
transcript.pyannote[158].end 501.11721875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 504.08721875
transcript.pyannote[159].end 506.85471875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 512.96346875
transcript.pyannote[160].end 516.01784375
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 516.62534375
transcript.pyannote[161].end 519.07221875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 519.25784375
transcript.pyannote[162].end 520.38846875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 520.70909375
transcript.pyannote[163].end 521.65409375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 522.39659375
transcript.pyannote[164].end 525.68721875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 526.37909375
transcript.pyannote[165].end 529.38284375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 529.58534375
transcript.pyannote[166].end 531.32346875
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 531.32346875
transcript.pyannote[167].end 531.37409375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 531.49221875
transcript.pyannote[168].end 531.54284375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 531.54284375
transcript.pyannote[169].end 531.96471875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 531.96471875
transcript.pyannote[170].end 533.11221875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 534.22596875
transcript.pyannote[171].end 534.64784375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 535.45784375
transcript.pyannote[172].end 538.07346875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 538.93409375
transcript.pyannote[173].end 545.46471875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 545.54909375
transcript.pyannote[174].end 547.01721875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 548.24909375
transcript.pyannote[175].end 548.45159375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 548.45159375
transcript.pyannote[176].end 551.15159375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 551.92784375
transcript.pyannote[177].end 554.74596875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 555.03284375
transcript.pyannote[178].end 555.31971875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 555.60659375
transcript.pyannote[179].end 558.01971875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 558.44159375
transcript.pyannote[180].end 563.33534375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 563.55471875
transcript.pyannote[181].end 566.13659375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 566.47409375
transcript.pyannote[182].end 568.31346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 568.60034375
transcript.pyannote[183].end 570.13596875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 571.01346875
transcript.pyannote[184].end 571.18221875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 571.72221875
transcript.pyannote[185].end 573.96659375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 573.96659375
transcript.pyannote[186].end 580.14284375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 580.32846875
transcript.pyannote[187].end 586.65659375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 586.84221875
transcript.pyannote[188].end 595.41471875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 588.04034375
transcript.pyannote[189].end 589.01909375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 590.63909375
transcript.pyannote[190].end 590.65596875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 590.67284375
transcript.pyannote[191].end 590.68971875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 595.58346875
transcript.pyannote[192].end 602.78909375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 595.63409375
transcript.pyannote[193].end 596.12346875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 596.12346875
transcript.pyannote[194].end 596.14034375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 599.24534375
transcript.pyannote[195].end 599.73471875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 600.69659375
transcript.pyannote[196].end 602.80596875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 602.80596875
transcript.pyannote[197].end 602.90721875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 602.90721875
transcript.pyannote[198].end 612.50909375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 604.54409375
transcript.pyannote[199].end 605.03346875
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 606.18096875
transcript.pyannote[200].end 606.58596875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 608.29034375
transcript.pyannote[201].end 608.94846875
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 611.15909375
transcript.pyannote[202].end 616.94721875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 616.96409375
transcript.pyannote[203].end 617.03159375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 617.06534375
transcript.pyannote[204].end 620.17034375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 620.23784375
transcript.pyannote[205].end 620.28846875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 620.28846875
transcript.pyannote[206].end 624.35534375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 620.37284375
transcript.pyannote[207].end 620.38971875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 620.47409375
transcript.pyannote[208].end 621.41909375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 623.15721875
transcript.pyannote[209].end 623.61284375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 623.84909375
transcript.pyannote[210].end 624.37221875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 624.37221875
transcript.pyannote[211].end 625.97534375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 625.97534375
transcript.pyannote[212].end 626.17784375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 626.39721875
transcript.pyannote[213].end 626.41409375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 626.41409375
transcript.pyannote[214].end 640.97721875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 641.28096875
transcript.pyannote[215].end 642.68159375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 643.82909375
transcript.pyannote[216].end 645.85409375
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 645.87096875
transcript.pyannote[217].end 654.74721875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 655.18596875
transcript.pyannote[218].end 655.84409375
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 656.29971875
transcript.pyannote[219].end 658.45971875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 658.54409375
transcript.pyannote[220].end 659.06721875
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 659.99534375
transcript.pyannote[221].end 660.95721875
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 661.39596875
transcript.pyannote[222].end 662.18909375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 662.42534375
transcript.pyannote[223].end 666.64409375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 666.72846875
transcript.pyannote[224].end 667.33596875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 668.14596875
transcript.pyannote[225].end 668.78721875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 669.39471875
transcript.pyannote[226].end 670.03596875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 670.03596875
transcript.pyannote[227].end 671.35221875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 672.34784375
transcript.pyannote[228].end 673.79909375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 673.93409375
transcript.pyannote[229].end 674.28846875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 674.99721875
transcript.pyannote[230].end 681.96659375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 677.81534375
transcript.pyannote[231].end 678.52409375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 679.62096875
transcript.pyannote[232].end 680.16096875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 681.96659375
transcript.pyannote[233].end 682.01721875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 682.01721875
transcript.pyannote[234].end 682.55721875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 682.55721875
transcript.pyannote[235].end 682.67534375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 682.67534375
transcript.pyannote[236].end 682.69221875
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 682.69221875
transcript.pyannote[237].end 685.74659375
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 685.96596875
transcript.pyannote[238].end 693.57659375
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 694.01534375
transcript.pyannote[239].end 699.71909375
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 699.97221875
transcript.pyannote[240].end 702.67221875
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 703.04346875
transcript.pyannote[241].end 711.05909375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 711.05909375
transcript.pyannote[242].end 711.07596875
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 711.07596875
transcript.pyannote[243].end 711.09284375
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 711.39659375
transcript.pyannote[244].end 712.03784375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 712.03784375
transcript.pyannote[245].end 716.30721875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 716.74596875
transcript.pyannote[246].end 718.46721875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 718.46721875
transcript.pyannote[247].end 718.48409375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 719.58096875
transcript.pyannote[248].end 719.69909375
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 719.69909375
transcript.pyannote[249].end 723.39471875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 719.71596875
transcript.pyannote[250].end 720.03659375
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 720.03659375
transcript.pyannote[251].end 720.17159375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 720.17159375
transcript.pyannote[252].end 720.47534375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 720.47534375
transcript.pyannote[253].end 721.99409375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 721.99409375
transcript.pyannote[254].end 722.09534375
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 723.41159375
transcript.pyannote[255].end 730.58346875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 731.29221875
transcript.pyannote[256].end 738.02534375
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 738.02534375
transcript.pyannote[257].end 747.96471875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 743.13846875
transcript.pyannote[258].end 744.69096875
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 744.69096875
transcript.pyannote[259].end 745.02846875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 745.75409375
transcript.pyannote[260].end 746.61471875
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 747.96471875
transcript.pyannote[261].end 757.97159375
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 748.47096875
transcript.pyannote[262].end 748.74096875
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 749.16284375
transcript.pyannote[263].end 750.04034375
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 758.49471875
transcript.pyannote[264].end 762.17346875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 762.17346875
transcript.pyannote[265].end 762.52784375
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 762.52784375
transcript.pyannote[266].end 763.00034375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 762.61221875
transcript.pyannote[267].end 763.55721875
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 763.55721875
transcript.pyannote[268].end 771.04971875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 767.43846875
transcript.pyannote[269].end 768.24846875
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 771.53909375
transcript.pyannote[270].end 784.02659375
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 777.29346875
transcript.pyannote[271].end 778.82909375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 781.46159375
transcript.pyannote[272].end 782.00159375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 782.47409375
transcript.pyannote[273].end 783.53721875
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 784.02659375
transcript.pyannote[274].end 791.31659375
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 785.08971875
transcript.pyannote[275].end 786.35534375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 791.62034375
transcript.pyannote[276].end 792.17721875
transcript.pyannote[277].speaker SPEAKER_03
transcript.pyannote[277].start 792.73409375
transcript.pyannote[277].end 798.03284375
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 798.03284375
transcript.pyannote[278].end 799.85534375
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 800.29409375
transcript.pyannote[279].end 807.97221875
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 801.76221875
transcript.pyannote[280].end 802.20096875
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 804.86721875
transcript.pyannote[281].end 805.54221875
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 806.87534375
transcript.pyannote[282].end 807.53346875
transcript.pyannote[283].speaker SPEAKER_03
transcript.pyannote[283].start 807.97221875
transcript.pyannote[283].end 813.50721875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 809.25471875
transcript.pyannote[284].end 813.37221875
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 813.59159375
transcript.pyannote[285].end 821.55659375
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 813.67596875
transcript.pyannote[286].end 815.24534375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 818.53596875
transcript.pyannote[287].end 819.61596875
transcript.pyannote[288].speaker SPEAKER_03
transcript.pyannote[288].start 821.99534375
transcript.pyannote[288].end 830.43284375
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 825.48846875
transcript.pyannote[289].end 826.95659375
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 831.00659375
transcript.pyannote[290].end 839.73096875
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 831.20909375
transcript.pyannote[291].end 831.54659375
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 832.37346875
transcript.pyannote[292].end 833.01471875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 833.01471875
transcript.pyannote[293].end 833.06534375
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 840.11909375
transcript.pyannote[294].end 840.55784375
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 841.21596875
transcript.pyannote[295].end 843.49409375
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 843.88221875
transcript.pyannote[296].end 845.65409375
transcript.pyannote[297].speaker SPEAKER_03
transcript.pyannote[297].start 845.99159375
transcript.pyannote[297].end 847.64534375
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 847.93221875
transcript.pyannote[298].end 850.64909375
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 851.30721875
transcript.pyannote[299].end 852.52221875
transcript.pyannote[300].speaker SPEAKER_03
transcript.pyannote[300].start 852.72471875
transcript.pyannote[300].end 854.98596875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 855.59346875
transcript.pyannote[301].end 858.81659375
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 858.95159375
transcript.pyannote[302].end 863.84534375
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 863.94659375
transcript.pyannote[303].end 865.65096875
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 864.65534375
transcript.pyannote[304].end 868.04721875
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 866.98409375
transcript.pyannote[305].end 868.14846875
transcript.pyannote[306].speaker SPEAKER_03
transcript.pyannote[306].start 868.14846875
transcript.pyannote[306].end 869.97096875
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 869.97096875
transcript.pyannote[307].end 881.05784375
transcript.pyannote[308].speaker SPEAKER_03
transcript.pyannote[308].start 870.00471875
transcript.pyannote[308].end 870.02159375
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 870.03846875
transcript.pyannote[309].end 870.27471875
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 870.42659375
transcript.pyannote[310].end 871.89471875
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 878.79659375
transcript.pyannote[311].end 889.46159375
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 889.86659375
transcript.pyannote[312].end 891.28409375
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 892.41471875
transcript.pyannote[313].end 898.27034375
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 898.70909375
transcript.pyannote[314].end 903.70409375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 903.87284375
transcript.pyannote[315].end 912.85034375
transcript.pyannote[316].speaker SPEAKER_03
transcript.pyannote[316].start 913.39034375
transcript.pyannote[316].end 916.57971875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 916.83284375
transcript.pyannote[317].end 918.03096875
transcript.pyannote[318].speaker SPEAKER_03
transcript.pyannote[318].start 918.30096875
transcript.pyannote[318].end 920.59596875
transcript.pyannote[319].speaker SPEAKER_03
transcript.pyannote[319].start 921.94596875
transcript.pyannote[319].end 923.31284375
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 921.97971875
transcript.pyannote[320].end 926.46846875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 927.24471875
transcript.pyannote[321].end 931.02471875
transcript.pyannote[322].speaker SPEAKER_03
transcript.pyannote[322].start 927.44721875
transcript.pyannote[322].end 928.24034375
transcript.pyannote[323].speaker SPEAKER_03
transcript.pyannote[323].start 930.34971875
transcript.pyannote[323].end 940.15409375
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 938.70284375
transcript.pyannote[324].end 941.25096875
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 940.64346875
transcript.pyannote[325].end 943.10721875
transcript.pyannote[326].speaker SPEAKER_01
transcript.pyannote[326].start 943.10721875
transcript.pyannote[326].end 946.19534375
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 943.14096875
transcript.pyannote[327].end 943.52909375
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 946.34721875
transcript.pyannote[328].end 964.33596875
transcript.pyannote[329].speaker SPEAKER_03
transcript.pyannote[329].start 962.71596875
transcript.pyannote[329].end 965.29784375
transcript.pyannote[330].speaker SPEAKER_01
transcript.pyannote[330].start 964.90971875
transcript.pyannote[330].end 966.54659375
transcript.pyannote[331].speaker SPEAKER_03
transcript.pyannote[331].start 966.24284375
transcript.pyannote[331].end 970.46159375
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 971.05221875
transcript.pyannote[332].end 973.09409375
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 973.39784375
transcript.pyannote[333].end 984.21471875
transcript.pyannote[334].speaker SPEAKER_03
transcript.pyannote[334].start 984.43409375
transcript.pyannote[334].end 987.58971875
transcript.pyannote[335].speaker SPEAKER_03
transcript.pyannote[335].start 988.28159375
transcript.pyannote[335].end 994.22159375
transcript.pyannote[336].speaker SPEAKER_01
transcript.pyannote[336].start 994.74471875
transcript.pyannote[336].end 996.28034375
transcript.pyannote[337].speaker SPEAKER_01
transcript.pyannote[337].start 996.51659375
transcript.pyannote[337].end 997.17471875
transcript.pyannote[338].speaker SPEAKER_01
transcript.pyannote[338].start 997.52909375
transcript.pyannote[338].end 999.36846875
transcript.pyannote[339].speaker SPEAKER_01
transcript.pyannote[339].start 1001.76471875
transcript.pyannote[339].end 1005.57846875
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 1003.38471875
transcript.pyannote[340].end 1003.55346875
transcript.pyannote[341].speaker SPEAKER_03
transcript.pyannote[341].start 1005.57846875
transcript.pyannote[341].end 1005.64596875
transcript.pyannote[342].speaker SPEAKER_01
transcript.pyannote[342].start 1006.01721875
transcript.pyannote[342].end 1006.03409375
transcript.pyannote[343].speaker SPEAKER_03
transcript.pyannote[343].start 1006.03409375
transcript.pyannote[343].end 1006.79346875
transcript.pyannote[344].speaker SPEAKER_03
transcript.pyannote[344].start 1007.14784375
transcript.pyannote[344].end 1009.67909375
transcript.pyannote[345].speaker SPEAKER_03
transcript.pyannote[345].start 1009.94909375
transcript.pyannote[345].end 1015.53471875
transcript.pyannote[346].speaker SPEAKER_03
transcript.pyannote[346].start 1015.55159375
transcript.pyannote[346].end 1016.51346875
transcript.pyannote[347].speaker SPEAKER_03
transcript.pyannote[347].start 1016.83409375
transcript.pyannote[347].end 1032.69659375
transcript.pyannote[348].speaker SPEAKER_03
transcript.pyannote[348].start 1033.28721875
transcript.pyannote[348].end 1033.33784375
transcript.pyannote[349].speaker SPEAKER_01
transcript.pyannote[349].start 1033.33784375
transcript.pyannote[349].end 1039.12596875
transcript.pyannote[350].speaker SPEAKER_03
transcript.pyannote[350].start 1034.92409375
transcript.pyannote[350].end 1034.97471875
transcript.pyannote[351].speaker SPEAKER_02
transcript.pyannote[351].start 1034.97471875
transcript.pyannote[351].end 1035.00846875
transcript.pyannote[352].speaker SPEAKER_00
transcript.pyannote[352].start 1035.00846875
transcript.pyannote[352].end 1035.29534375
transcript.pyannote[353].speaker SPEAKER_02
transcript.pyannote[353].start 1035.29534375
transcript.pyannote[353].end 1035.39659375
transcript.pyannote[354].speaker SPEAKER_02
transcript.pyannote[354].start 1035.64971875
transcript.pyannote[354].end 1035.86909375
transcript.pyannote[355].speaker SPEAKER_00
transcript.pyannote[355].start 1035.86909375
transcript.pyannote[355].end 1036.02096875
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 1036.02096875
transcript.pyannote[356].end 1036.22346875
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 1039.34534375
transcript.pyannote[357].end 1042.24784375
transcript.pyannote[358].speaker SPEAKER_01
transcript.pyannote[358].start 1043.27721875
transcript.pyannote[358].end 1045.97721875
transcript.pyannote[359].speaker SPEAKER_03
transcript.pyannote[359].start 1045.97721875
transcript.pyannote[359].end 1056.22034375
transcript.pyannote[360].speaker SPEAKER_01
transcript.pyannote[360].start 1051.57971875
transcript.pyannote[360].end 1052.96346875
transcript.pyannote[361].speaker SPEAKER_00
transcript.pyannote[361].start 1052.96346875
transcript.pyannote[361].end 1053.87471875
transcript.pyannote[362].speaker SPEAKER_03
transcript.pyannote[362].start 1056.30471875
transcript.pyannote[362].end 1073.66909375
transcript.pyannote[363].speaker SPEAKER_00
transcript.pyannote[363].start 1056.33846875
transcript.pyannote[363].end 1056.38909375
transcript.pyannote[364].speaker SPEAKER_00
transcript.pyannote[364].start 1056.43971875
transcript.pyannote[364].end 1056.45659375
transcript.pyannote[365].speaker SPEAKER_00
transcript.pyannote[365].start 1056.84471875
transcript.pyannote[365].end 1057.13159375
transcript.pyannote[366].speaker SPEAKER_00
transcript.pyannote[366].start 1064.11784375
transcript.pyannote[366].end 1064.80971875
transcript.pyannote[367].speaker SPEAKER_01
transcript.pyannote[367].start 1067.89784375
transcript.pyannote[367].end 1075.33971875
transcript.pyannote[368].speaker SPEAKER_03
transcript.pyannote[368].start 1074.34409375
transcript.pyannote[368].end 1077.07784375
transcript.pyannote[369].speaker SPEAKER_03
transcript.pyannote[369].start 1077.31409375
transcript.pyannote[369].end 1078.20846875
transcript.pyannote[370].speaker SPEAKER_03
transcript.pyannote[370].start 1079.03534375
transcript.pyannote[370].end 1082.27534375
transcript.pyannote[371].speaker SPEAKER_03
transcript.pyannote[371].start 1083.13596875
transcript.pyannote[371].end 1086.66284375
transcript.pyannote[372].speaker SPEAKER_03
transcript.pyannote[372].start 1087.03409375
transcript.pyannote[372].end 1091.57346875
transcript.pyannote[373].speaker SPEAKER_03
transcript.pyannote[373].start 1091.75909375
transcript.pyannote[373].end 1098.03659375
transcript.pyannote[374].speaker SPEAKER_03
transcript.pyannote[374].start 1098.59346875
transcript.pyannote[374].end 1100.19659375
transcript.pyannote[375].speaker SPEAKER_03
transcript.pyannote[375].start 1101.25971875
transcript.pyannote[375].end 1103.79096875
transcript.pyannote[376].speaker SPEAKER_03
transcript.pyannote[376].start 1104.49971875
transcript.pyannote[376].end 1107.70596875
transcript.pyannote[377].speaker SPEAKER_03
transcript.pyannote[377].start 1107.94221875
transcript.pyannote[377].end 1115.73846875
transcript.pyannote[378].speaker SPEAKER_03
transcript.pyannote[378].start 1116.41346875
transcript.pyannote[378].end 1116.76784375
transcript.pyannote[379].speaker SPEAKER_03
transcript.pyannote[379].start 1116.93659375
transcript.pyannote[379].end 1116.95346875
transcript.pyannote[380].speaker SPEAKER_03
transcript.pyannote[380].start 1116.97034375
transcript.pyannote[380].end 1117.74659375
transcript.pyannote[381].speaker SPEAKER_03
transcript.pyannote[381].start 1118.25284375
transcript.pyannote[381].end 1120.83471875
transcript.pyannote[382].speaker SPEAKER_03
transcript.pyannote[382].start 1121.67846875
transcript.pyannote[382].end 1124.61471875
transcript.pyannote[383].speaker SPEAKER_02
transcript.pyannote[383].start 1123.26471875
transcript.pyannote[383].end 1123.29846875
transcript.pyannote[384].speaker SPEAKER_00
transcript.pyannote[384].start 1123.29846875
transcript.pyannote[384].end 1124.02409375
transcript.pyannote[385].speaker SPEAKER_02
transcript.pyannote[385].start 1124.02409375
transcript.pyannote[385].end 1124.44596875
transcript.pyannote[386].speaker SPEAKER_00
transcript.pyannote[386].start 1124.44596875
transcript.pyannote[386].end 1124.56409375
transcript.pyannote[387].speaker SPEAKER_02
transcript.pyannote[387].start 1124.56409375
transcript.pyannote[387].end 1124.58096875
transcript.pyannote[388].speaker SPEAKER_00
transcript.pyannote[388].start 1124.58096875
transcript.pyannote[388].end 1124.59784375
transcript.pyannote[389].speaker SPEAKER_03
transcript.pyannote[389].start 1125.94784375
transcript.pyannote[389].end 1125.96471875
transcript.pyannote[390].speaker SPEAKER_01
transcript.pyannote[390].start 1125.96471875
transcript.pyannote[390].end 1126.79159375
transcript.pyannote[391].speaker SPEAKER_01
transcript.pyannote[391].start 1128.24284375
transcript.pyannote[391].end 1129.13721875
transcript.pyannote[392].speaker SPEAKER_01
transcript.pyannote[392].start 1129.39034375
transcript.pyannote[392].end 1131.48284375
transcript.pyannote[393].speaker SPEAKER_01
transcript.pyannote[393].start 1131.76971875
transcript.pyannote[393].end 1137.52409375
transcript.pyannote[394].speaker SPEAKER_03
transcript.pyannote[394].start 1134.73971875
transcript.pyannote[394].end 1137.05159375
transcript.pyannote[395].speaker SPEAKER_01
transcript.pyannote[395].start 1137.76034375
transcript.pyannote[395].end 1151.32784375
transcript.pyannote[396].speaker SPEAKER_03
transcript.pyannote[396].start 1140.49409375
transcript.pyannote[396].end 1142.73846875
transcript.pyannote[397].speaker SPEAKER_00
transcript.pyannote[397].start 1142.73846875
transcript.pyannote[397].end 1142.78909375
transcript.pyannote[398].speaker SPEAKER_03
transcript.pyannote[398].start 1143.58221875
transcript.pyannote[398].end 1145.48909375
transcript.pyannote[399].speaker SPEAKER_02
transcript.pyannote[399].start 1150.28159375
transcript.pyannote[399].end 1150.31534375
transcript.pyannote[400].speaker SPEAKER_03
transcript.pyannote[400].start 1150.31534375
transcript.pyannote[400].end 1151.09159375
transcript.pyannote[401].speaker SPEAKER_01
transcript.pyannote[401].start 1151.54721875
transcript.pyannote[401].end 1156.17096875
transcript.pyannote[402].speaker SPEAKER_02
transcript.pyannote[402].start 1151.68221875
transcript.pyannote[402].end 1152.01971875
transcript.pyannote[403].speaker SPEAKER_03
transcript.pyannote[403].start 1152.01971875
transcript.pyannote[403].end 1152.05346875
transcript.pyannote[404].speaker SPEAKER_01
transcript.pyannote[404].start 1156.99784375
transcript.pyannote[404].end 1158.97221875
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 1158.97221875
transcript.pyannote[405].end 1160.76096875
transcript.pyannote[406].speaker SPEAKER_03
transcript.pyannote[406].start 1161.04784375
transcript.pyannote[406].end 1164.96284375
transcript.pyannote[407].speaker SPEAKER_01
transcript.pyannote[407].start 1164.60846875
transcript.pyannote[407].end 1165.48596875
transcript.pyannote[408].speaker SPEAKER_01
transcript.pyannote[408].start 1165.73909375
transcript.pyannote[408].end 1168.52346875
transcript.pyannote[409].speaker SPEAKER_01
transcript.pyannote[409].start 1168.62471875
transcript.pyannote[409].end 1175.76284375
transcript.pyannote[410].speaker SPEAKER_03
transcript.pyannote[410].start 1169.18159375
transcript.pyannote[410].end 1169.55284375
transcript.pyannote[411].speaker SPEAKER_01
transcript.pyannote[411].start 1175.91471875
transcript.pyannote[411].end 1176.97784375
transcript.pyannote[412].speaker SPEAKER_01
transcript.pyannote[412].start 1177.29846875
transcript.pyannote[412].end 1177.97346875
transcript.pyannote[413].speaker SPEAKER_03
transcript.pyannote[413].start 1177.97346875
transcript.pyannote[413].end 1178.05784375
transcript.pyannote[414].speaker SPEAKER_01
transcript.pyannote[414].start 1178.59784375
transcript.pyannote[414].end 1178.61471875
transcript.pyannote[415].speaker SPEAKER_03
transcript.pyannote[415].start 1178.61471875
transcript.pyannote[415].end 1185.55034375
transcript.pyannote[416].speaker SPEAKER_03
transcript.pyannote[416].start 1185.66846875
transcript.pyannote[416].end 1186.71471875
transcript.pyannote[417].speaker SPEAKER_03
transcript.pyannote[417].start 1187.10284375
transcript.pyannote[417].end 1187.77784375
transcript.pyannote[418].speaker SPEAKER_03
transcript.pyannote[418].start 1188.58784375
transcript.pyannote[418].end 1189.29659375
transcript.pyannote[419].speaker SPEAKER_03
transcript.pyannote[419].start 1189.31346875
transcript.pyannote[419].end 1193.51534375
transcript.pyannote[420].speaker SPEAKER_03
transcript.pyannote[420].start 1194.13971875
transcript.pyannote[420].end 1197.83534375
transcript.pyannote[421].speaker SPEAKER_01
transcript.pyannote[421].start 1199.13471875
transcript.pyannote[421].end 1203.43784375
transcript.pyannote[422].speaker SPEAKER_01
transcript.pyannote[422].start 1203.50534375
transcript.pyannote[422].end 1207.97721875
transcript.pyannote[423].speaker SPEAKER_03
transcript.pyannote[423].start 1207.97721875
transcript.pyannote[423].end 1215.72284375
transcript.pyannote[424].speaker SPEAKER_01
transcript.pyannote[424].start 1216.33034375
transcript.pyannote[424].end 1218.76034375
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 1218.76034375
transcript.pyannote[425].end 1218.77721875
transcript.pyannote[426].speaker SPEAKER_03
transcript.pyannote[426].start 1219.08096875
transcript.pyannote[426].end 1220.44784375
transcript.pyannote[427].speaker SPEAKER_03
transcript.pyannote[427].start 1220.78534375
transcript.pyannote[427].end 1224.09284375
transcript.pyannote[428].speaker SPEAKER_03
transcript.pyannote[428].start 1224.17721875
transcript.pyannote[428].end 1225.78034375
transcript.pyannote[429].speaker SPEAKER_03
transcript.pyannote[429].start 1226.40471875
transcript.pyannote[429].end 1229.18909375
transcript.pyannote[430].speaker SPEAKER_03
transcript.pyannote[430].start 1229.96534375
transcript.pyannote[430].end 1233.81284375
transcript.pyannote[431].speaker SPEAKER_04
transcript.pyannote[431].start 1233.89721875
transcript.pyannote[431].end 1234.31909375
transcript.pyannote[432].speaker SPEAKER_03
transcript.pyannote[432].start 1234.42034375
transcript.pyannote[432].end 1237.55909375
transcript.pyannote[433].speaker SPEAKER_04
transcript.pyannote[433].start 1235.70284375
transcript.pyannote[433].end 1236.88409375
transcript.pyannote[434].speaker SPEAKER_01
transcript.pyannote[434].start 1236.88409375
transcript.pyannote[434].end 1236.93471875
transcript.pyannote[435].speaker SPEAKER_01
transcript.pyannote[435].start 1237.55909375
transcript.pyannote[435].end 1237.59284375
transcript.pyannote[436].speaker SPEAKER_03
transcript.pyannote[436].start 1237.59284375
transcript.pyannote[436].end 1237.62659375
transcript.pyannote[437].speaker SPEAKER_01
transcript.pyannote[437].start 1237.62659375
transcript.pyannote[437].end 1237.69409375
transcript.pyannote[438].speaker SPEAKER_03
transcript.pyannote[438].start 1237.69409375
transcript.pyannote[438].end 1237.71096875
transcript.pyannote[439].speaker SPEAKER_01
transcript.pyannote[439].start 1237.71096875
transcript.pyannote[439].end 1237.74471875
transcript.pyannote[440].speaker SPEAKER_03
transcript.pyannote[440].start 1237.74471875
transcript.pyannote[440].end 1237.79534375
transcript.pyannote[441].speaker SPEAKER_01
transcript.pyannote[441].start 1237.79534375
transcript.pyannote[441].end 1237.82909375
transcript.pyannote[442].speaker SPEAKER_03
transcript.pyannote[442].start 1237.82909375
transcript.pyannote[442].end 1238.03159375
transcript.pyannote[443].speaker SPEAKER_01
transcript.pyannote[443].start 1238.03159375
transcript.pyannote[443].end 1238.20034375
transcript.pyannote[444].speaker SPEAKER_03
transcript.pyannote[444].start 1238.53784375
transcript.pyannote[444].end 1238.68971875
transcript.pyannote[445].speaker SPEAKER_01
transcript.pyannote[445].start 1238.68971875
transcript.pyannote[445].end 1239.51659375
transcript.pyannote[446].speaker SPEAKER_03
transcript.pyannote[446].start 1240.09034375
transcript.pyannote[446].end 1240.12409375
transcript.pyannote[447].speaker SPEAKER_01
transcript.pyannote[447].start 1240.12409375
transcript.pyannote[447].end 1240.90034375
transcript.pyannote[448].speaker SPEAKER_03
transcript.pyannote[448].start 1240.90034375
transcript.pyannote[448].end 1240.93409375
transcript.pyannote[449].speaker SPEAKER_03
transcript.pyannote[449].start 1241.22096875
transcript.pyannote[449].end 1261.69034375
transcript.pyannote[450].speaker SPEAKER_01
transcript.pyannote[450].start 1246.48596875
transcript.pyannote[450].end 1246.82346875
transcript.pyannote[451].speaker SPEAKER_01
transcript.pyannote[451].start 1261.69034375
transcript.pyannote[451].end 1264.79534375
transcript.pyannote[452].speaker SPEAKER_03
transcript.pyannote[452].start 1264.79534375
transcript.pyannote[452].end 1267.51221875
transcript.pyannote[453].speaker SPEAKER_03
transcript.pyannote[453].start 1268.57534375
transcript.pyannote[453].end 1269.35159375
transcript.pyannote[454].speaker SPEAKER_03
transcript.pyannote[454].start 1270.90409375
transcript.pyannote[454].end 1282.48034375
transcript.pyannote[455].speaker SPEAKER_03
transcript.pyannote[455].start 1282.78409375
transcript.pyannote[455].end 1288.92659375
transcript.pyannote[456].speaker SPEAKER_03
transcript.pyannote[456].start 1289.48346875
transcript.pyannote[456].end 1292.38596875
transcript.pyannote[457].speaker SPEAKER_03
transcript.pyannote[457].start 1292.89221875
transcript.pyannote[457].end 1295.81159375
transcript.pyannote[458].speaker SPEAKER_01
transcript.pyannote[458].start 1296.16596875
transcript.pyannote[458].end 1298.14034375
transcript.pyannote[459].speaker SPEAKER_03
transcript.pyannote[459].start 1296.19971875
transcript.pyannote[459].end 1296.94221875
transcript.pyannote[460].speaker SPEAKER_03
transcript.pyannote[460].start 1298.73096875
transcript.pyannote[460].end 1299.65909375
transcript.pyannote[461].speaker SPEAKER_03
transcript.pyannote[461].start 1300.13159375
transcript.pyannote[461].end 1303.54034375
transcript.pyannote[462].speaker SPEAKER_03
transcript.pyannote[462].start 1303.74284375
transcript.pyannote[462].end 1304.68784375
transcript.pyannote[463].speaker SPEAKER_03
transcript.pyannote[463].start 1305.98721875
transcript.pyannote[463].end 1307.79284375
transcript.pyannote[464].speaker SPEAKER_03
transcript.pyannote[464].start 1308.14721875
transcript.pyannote[464].end 1308.43409375
transcript.pyannote[465].speaker SPEAKER_03
transcript.pyannote[465].start 1309.15971875
transcript.pyannote[465].end 1309.56471875
transcript.pyannote[466].speaker SPEAKER_03
transcript.pyannote[466].start 1310.15534375
transcript.pyannote[466].end 1312.18034375
transcript.pyannote[467].speaker SPEAKER_03
transcript.pyannote[467].start 1312.88909375
transcript.pyannote[467].end 1313.49659375
transcript.pyannote[468].speaker SPEAKER_01
transcript.pyannote[468].start 1314.74534375
transcript.pyannote[468].end 1315.08284375
transcript.pyannote[469].speaker SPEAKER_01
transcript.pyannote[469].start 1315.43721875
transcript.pyannote[469].end 1317.68159375
transcript.pyannote[470].speaker SPEAKER_01
transcript.pyannote[470].start 1318.13721875
transcript.pyannote[470].end 1319.03159375
transcript.pyannote[471].speaker SPEAKER_03
transcript.pyannote[471].start 1319.03159375
transcript.pyannote[471].end 1323.36846875
transcript.pyannote[472].speaker SPEAKER_01
transcript.pyannote[472].start 1319.04846875
transcript.pyannote[472].end 1319.08221875
transcript.pyannote[473].speaker SPEAKER_00
transcript.pyannote[473].start 1319.08221875
transcript.pyannote[473].end 1319.65596875
transcript.pyannote[474].speaker SPEAKER_01
transcript.pyannote[474].start 1319.65596875
transcript.pyannote[474].end 1319.67284375
transcript.pyannote[475].speaker SPEAKER_03
transcript.pyannote[475].start 1323.46971875
transcript.pyannote[475].end 1328.17784375
transcript.pyannote[476].speaker SPEAKER_03
transcript.pyannote[476].start 1329.25784375
transcript.pyannote[476].end 1330.55721875
transcript.pyannote[477].speaker SPEAKER_03
transcript.pyannote[477].start 1330.75971875
transcript.pyannote[477].end 1340.02409375
transcript.pyannote[478].speaker SPEAKER_01
transcript.pyannote[478].start 1340.63159375
transcript.pyannote[478].end 1346.26784375
transcript.pyannote[479].speaker SPEAKER_03
transcript.pyannote[479].start 1341.03659375
transcript.pyannote[479].end 1341.37409375
transcript.pyannote[480].speaker SPEAKER_01
transcript.pyannote[480].start 1346.63909375
transcript.pyannote[480].end 1349.38971875
transcript.pyannote[481].speaker SPEAKER_01
transcript.pyannote[481].start 1349.54159375
transcript.pyannote[481].end 1353.77721875
transcript.pyannote[482].speaker SPEAKER_03
transcript.pyannote[482].start 1352.14034375
transcript.pyannote[482].end 1353.72659375
transcript.pyannote[483].speaker SPEAKER_03
transcript.pyannote[483].start 1353.77721875
transcript.pyannote[483].end 1354.89096875
transcript.pyannote[484].speaker SPEAKER_01
transcript.pyannote[484].start 1354.89096875
transcript.pyannote[484].end 1359.26159375
transcript.pyannote[485].speaker SPEAKER_03
transcript.pyannote[485].start 1354.90784375
transcript.pyannote[485].end 1355.26221875
transcript.pyannote[486].speaker SPEAKER_00
transcript.pyannote[486].start 1358.67096875
transcript.pyannote[486].end 1358.87346875
transcript.pyannote[487].speaker SPEAKER_03
transcript.pyannote[487].start 1358.87346875
transcript.pyannote[487].end 1358.95784375
transcript.pyannote[488].speaker SPEAKER_00
transcript.pyannote[488].start 1358.95784375
transcript.pyannote[488].end 1358.97471875
transcript.pyannote[489].speaker SPEAKER_01
transcript.pyannote[489].start 1360.17284375
transcript.pyannote[489].end 1360.79721875
transcript.pyannote[490].speaker SPEAKER_01
transcript.pyannote[490].start 1361.25284375
transcript.pyannote[490].end 1361.77596875
transcript.pyannote[491].speaker SPEAKER_01
transcript.pyannote[491].start 1362.04596875
transcript.pyannote[491].end 1364.86409375
transcript.pyannote[492].speaker SPEAKER_00
transcript.pyannote[492].start 1364.86409375
transcript.pyannote[492].end 1365.08346875
transcript.pyannote[493].speaker SPEAKER_01
transcript.pyannote[493].start 1365.47159375
transcript.pyannote[493].end 1368.07034375
transcript.pyannote[494].speaker SPEAKER_01
transcript.pyannote[494].start 1368.59346875
transcript.pyannote[494].end 1368.61034375
transcript.pyannote[495].speaker SPEAKER_03
transcript.pyannote[495].start 1368.61034375
transcript.pyannote[495].end 1372.30596875
transcript.pyannote[496].speaker SPEAKER_01
transcript.pyannote[496].start 1372.74471875
transcript.pyannote[496].end 1372.89659375
transcript.pyannote[497].speaker SPEAKER_01
transcript.pyannote[497].start 1373.18346875
transcript.pyannote[497].end 1373.21721875
transcript.pyannote[498].speaker SPEAKER_01
transcript.pyannote[498].start 1373.23409375
transcript.pyannote[498].end 1379.69721875
transcript.pyannote[499].speaker SPEAKER_03
transcript.pyannote[499].start 1376.38971875
transcript.pyannote[499].end 1378.46534375
transcript.pyannote[500].speaker SPEAKER_03
transcript.pyannote[500].start 1378.70159375
transcript.pyannote[500].end 1378.87034375
transcript.pyannote[501].speaker SPEAKER_03
transcript.pyannote[501].start 1379.69721875
transcript.pyannote[501].end 1381.26659375
transcript.pyannote[502].speaker SPEAKER_01
transcript.pyannote[502].start 1381.26659375
transcript.pyannote[502].end 1381.51971875
transcript.pyannote[503].speaker SPEAKER_03
transcript.pyannote[503].start 1381.51971875
transcript.pyannote[503].end 1386.10971875
transcript.pyannote[504].speaker SPEAKER_01
transcript.pyannote[504].start 1381.53659375
transcript.pyannote[504].end 1383.07221875
transcript.pyannote[505].speaker SPEAKER_01
transcript.pyannote[505].start 1386.85221875
transcript.pyannote[505].end 1387.83096875
transcript.pyannote[506].speaker SPEAKER_03
transcript.pyannote[506].start 1387.37534375
transcript.pyannote[506].end 1405.54971875
transcript.pyannote[507].speaker SPEAKER_01
transcript.pyannote[507].start 1395.98159375
transcript.pyannote[507].end 1396.79159375
transcript.pyannote[508].speaker SPEAKER_03
transcript.pyannote[508].start 1405.98846875
transcript.pyannote[508].end 1412.46846875
transcript.pyannote[509].speaker SPEAKER_03
transcript.pyannote[509].start 1412.73846875
transcript.pyannote[509].end 1415.48909375
transcript.pyannote[510].speaker SPEAKER_01
transcript.pyannote[510].start 1415.69159375
transcript.pyannote[510].end 1417.78409375
transcript.pyannote[511].speaker SPEAKER_01
transcript.pyannote[511].start 1418.12159375
transcript.pyannote[511].end 1420.31534375
transcript.pyannote[512].speaker SPEAKER_01
transcript.pyannote[512].start 1420.72034375
transcript.pyannote[512].end 1422.12096875
transcript.pyannote[513].speaker SPEAKER_01
transcript.pyannote[513].start 1422.49221875
transcript.pyannote[513].end 1425.85034375
transcript.pyannote[514].speaker SPEAKER_01
transcript.pyannote[514].start 1426.15409375
transcript.pyannote[514].end 1428.78659375
transcript.pyannote[515].speaker SPEAKER_01
transcript.pyannote[515].start 1429.19159375
transcript.pyannote[515].end 1429.88346875
transcript.pyannote[516].speaker SPEAKER_01
transcript.pyannote[516].start 1430.92971875
transcript.pyannote[516].end 1432.19534375
transcript.pyannote[517].speaker SPEAKER_01
transcript.pyannote[517].start 1432.43159375
transcript.pyannote[517].end 1434.92909375
transcript.pyannote[518].speaker SPEAKER_01
transcript.pyannote[518].start 1435.08096875
transcript.pyannote[518].end 1435.60409375
transcript.pyannote[519].speaker SPEAKER_01
transcript.pyannote[519].start 1436.97096875
transcript.pyannote[519].end 1436.98784375
transcript.pyannote[520].speaker SPEAKER_03
transcript.pyannote[520].start 1436.98784375
transcript.pyannote[520].end 1440.22784375
transcript.pyannote[521].speaker SPEAKER_03
transcript.pyannote[521].start 1440.58221875
transcript.pyannote[521].end 1440.97034375
transcript.pyannote[522].speaker SPEAKER_03
transcript.pyannote[522].start 1441.54409375
transcript.pyannote[522].end 1442.60721875
transcript.pyannote[523].speaker SPEAKER_03
transcript.pyannote[523].start 1443.72096875
transcript.pyannote[523].end 1444.46346875
transcript.pyannote[524].speaker SPEAKER_03
transcript.pyannote[524].start 1445.49284375
transcript.pyannote[524].end 1452.02346875
transcript.pyannote[525].speaker SPEAKER_01
transcript.pyannote[525].start 1446.84284375
transcript.pyannote[525].end 1448.96909375
transcript.pyannote[526].speaker SPEAKER_00
transcript.pyannote[526].start 1448.96909375
transcript.pyannote[526].end 1449.03659375
transcript.pyannote[527].speaker SPEAKER_03
transcript.pyannote[527].start 1452.42846875
transcript.pyannote[527].end 1454.94284375
transcript.pyannote[528].speaker SPEAKER_03
transcript.pyannote[528].start 1455.39846875
transcript.pyannote[528].end 1472.37471875
transcript.pyannote[529].speaker SPEAKER_03
transcript.pyannote[529].start 1472.79659375
transcript.pyannote[529].end 1473.20159375
transcript.pyannote[530].speaker SPEAKER_03
transcript.pyannote[530].start 1473.77534375
transcript.pyannote[530].end 1474.70346875
transcript.pyannote[531].speaker SPEAKER_03
transcript.pyannote[531].start 1476.42471875
transcript.pyannote[531].end 1477.20096875
transcript.pyannote[532].speaker SPEAKER_03
transcript.pyannote[532].start 1478.23034375
transcript.pyannote[532].end 1480.33971875
transcript.pyannote[533].speaker SPEAKER_03
transcript.pyannote[533].start 1481.03159375
transcript.pyannote[533].end 1482.53346875
transcript.pyannote[534].speaker SPEAKER_03
transcript.pyannote[534].start 1482.97221875
transcript.pyannote[534].end 1485.21659375
transcript.pyannote[535].speaker SPEAKER_03
transcript.pyannote[535].start 1486.58346875
transcript.pyannote[535].end 1487.29221875
transcript.pyannote[536].speaker SPEAKER_03
transcript.pyannote[536].start 1487.88284375
transcript.pyannote[536].end 1489.43534375
transcript.pyannote[537].speaker SPEAKER_03
transcript.pyannote[537].start 1490.11034375
transcript.pyannote[537].end 1491.59534375
transcript.pyannote[538].speaker SPEAKER_03
transcript.pyannote[538].start 1492.05096875
transcript.pyannote[538].end 1493.06346875
transcript.pyannote[539].speaker SPEAKER_03
transcript.pyannote[539].start 1494.58221875
transcript.pyannote[539].end 1494.93659375
transcript.pyannote[540].speaker SPEAKER_03
transcript.pyannote[540].start 1499.62784375
transcript.pyannote[540].end 1502.39534375
transcript.pyannote[541].speaker SPEAKER_03
transcript.pyannote[541].start 1503.07034375
transcript.pyannote[541].end 1505.50034375
transcript.pyannote[542].speaker SPEAKER_03
transcript.pyannote[542].start 1505.98971875
transcript.pyannote[542].end 1508.70659375
transcript.pyannote[543].speaker SPEAKER_03
transcript.pyannote[543].start 1510.00596875
transcript.pyannote[543].end 1510.49534375
transcript.pyannote[544].speaker SPEAKER_03
transcript.pyannote[544].start 1510.84971875
transcript.pyannote[544].end 1512.06471875
transcript.pyannote[545].speaker SPEAKER_03
transcript.pyannote[545].start 1512.57096875
transcript.pyannote[545].end 1513.33034375
transcript.pyannote[546].speaker SPEAKER_03
transcript.pyannote[546].start 1513.71846875
transcript.pyannote[546].end 1516.72221875
transcript.pyannote[547].speaker SPEAKER_01
transcript.pyannote[547].start 1517.90346875
transcript.pyannote[547].end 1521.19409375
transcript.pyannote[548].speaker SPEAKER_01
transcript.pyannote[548].start 1521.46409375
transcript.pyannote[548].end 1523.06721875
transcript.pyannote[549].speaker SPEAKER_01
transcript.pyannote[549].start 1523.25284375
transcript.pyannote[549].end 1524.04596875
transcript.pyannote[550].speaker SPEAKER_01
transcript.pyannote[550].start 1524.68721875
transcript.pyannote[550].end 1528.68659375
transcript.pyannote[551].speaker SPEAKER_03
transcript.pyannote[551].start 1524.78846875
transcript.pyannote[551].end 1525.56471875
transcript.pyannote[552].speaker SPEAKER_01
transcript.pyannote[552].start 1528.83846875
transcript.pyannote[552].end 1530.72846875
transcript.pyannote[553].speaker SPEAKER_03
transcript.pyannote[553].start 1530.72846875
transcript.pyannote[553].end 1531.36971875
transcript.pyannote[554].speaker SPEAKER_01
transcript.pyannote[554].start 1531.36971875
transcript.pyannote[554].end 1532.97284375
transcript.pyannote[555].speaker SPEAKER_03
transcript.pyannote[555].start 1532.97284375
transcript.pyannote[555].end 1535.80784375
transcript.pyannote[556].speaker SPEAKER_03
transcript.pyannote[556].start 1536.28034375
transcript.pyannote[556].end 1537.64721875
transcript.pyannote[557].speaker SPEAKER_03
transcript.pyannote[557].start 1537.79909375
transcript.pyannote[557].end 1548.76784375
transcript.pyannote[558].speaker SPEAKER_01
transcript.pyannote[558].start 1549.76346875
transcript.pyannote[558].end 1559.83784375
transcript.pyannote[559].speaker SPEAKER_03
transcript.pyannote[559].start 1552.83471875
transcript.pyannote[559].end 1552.98659375
transcript.pyannote[560].speaker SPEAKER_03
transcript.pyannote[560].start 1556.49659375
transcript.pyannote[560].end 1557.23909375
transcript.pyannote[561].speaker SPEAKER_03
transcript.pyannote[561].start 1557.50909375
transcript.pyannote[561].end 1558.75784375
transcript.pyannote[562].speaker SPEAKER_03
transcript.pyannote[562].start 1558.96034375
transcript.pyannote[562].end 1564.59659375
transcript.pyannote[563].speaker SPEAKER_03
transcript.pyannote[563].start 1565.11971875
transcript.pyannote[563].end 1584.03659375
transcript.pyannote[564].speaker SPEAKER_02
transcript.pyannote[564].start 1567.88721875
transcript.pyannote[564].end 1570.28346875
transcript.pyannote[565].speaker SPEAKER_02
transcript.pyannote[565].start 1572.71346875
transcript.pyannote[565].end 1576.72971875
transcript.pyannote[566].speaker SPEAKER_02
transcript.pyannote[566].start 1579.22721875
transcript.pyannote[566].end 1579.64909375
transcript.pyannote[567].speaker SPEAKER_01
transcript.pyannote[567].start 1584.03659375
transcript.pyannote[567].end 1590.66846875
transcript.pyannote[568].speaker SPEAKER_01
transcript.pyannote[568].start 1591.20846875
transcript.pyannote[568].end 1591.96784375
transcript.pyannote[569].speaker SPEAKER_03
transcript.pyannote[569].start 1591.96784375
transcript.pyannote[569].end 1592.67659375
transcript.pyannote[570].speaker SPEAKER_03
transcript.pyannote[570].start 1592.96346875
transcript.pyannote[570].end 1594.88721875
transcript.pyannote[571].speaker SPEAKER_03
transcript.pyannote[571].start 1595.59596875
transcript.pyannote[571].end 1598.21159375
transcript.pyannote[572].speaker SPEAKER_01
transcript.pyannote[572].start 1599.56159375
transcript.pyannote[572].end 1604.13471875
transcript.pyannote[573].speaker SPEAKER_03
transcript.pyannote[573].start 1602.05909375
transcript.pyannote[573].end 1604.28659375
transcript.pyannote[574].speaker SPEAKER_03
transcript.pyannote[574].start 1605.01221875
transcript.pyannote[574].end 1610.86784375
transcript.pyannote[575].speaker SPEAKER_03
transcript.pyannote[575].start 1611.34034375
transcript.pyannote[575].end 1611.99846875
transcript.pyannote[576].speaker SPEAKER_03
transcript.pyannote[576].start 1612.30221875
transcript.pyannote[576].end 1614.04034375
transcript.pyannote[577].speaker SPEAKER_03
transcript.pyannote[577].start 1615.23846875
transcript.pyannote[577].end 1616.11596875
transcript.pyannote[578].speaker SPEAKER_01
transcript.pyannote[578].start 1616.40284375
transcript.pyannote[578].end 1617.75284375
transcript.pyannote[579].speaker SPEAKER_01
transcript.pyannote[579].start 1618.05659375
transcript.pyannote[579].end 1620.26721875
transcript.pyannote[580].speaker SPEAKER_03
transcript.pyannote[580].start 1618.12409375
transcript.pyannote[580].end 1618.36034375
transcript.pyannote[581].speaker SPEAKER_03
transcript.pyannote[581].start 1620.26721875
transcript.pyannote[581].end 1620.67221875
transcript.pyannote[582].speaker SPEAKER_03
transcript.pyannote[582].start 1622.96721875
transcript.pyannote[582].end 1624.77284375
transcript.pyannote[583].speaker SPEAKER_03
transcript.pyannote[583].start 1625.16096875
transcript.pyannote[583].end 1626.46034375
transcript.pyannote[584].speaker SPEAKER_03
transcript.pyannote[584].start 1627.20284375
transcript.pyannote[584].end 1631.82659375
transcript.pyannote[585].speaker SPEAKER_01
transcript.pyannote[585].start 1627.32096875
transcript.pyannote[585].end 1629.54846875
transcript.pyannote[586].speaker SPEAKER_01
transcript.pyannote[586].start 1630.20659375
transcript.pyannote[586].end 1635.58971875
transcript.pyannote[587].speaker SPEAKER_03
transcript.pyannote[587].start 1634.61096875
transcript.pyannote[587].end 1639.18409375
transcript.pyannote[588].speaker SPEAKER_03
transcript.pyannote[588].start 1639.72409375
transcript.pyannote[588].end 1647.48659375
transcript.pyannote[589].speaker SPEAKER_01
transcript.pyannote[589].start 1646.47409375
transcript.pyannote[589].end 1646.52471875
transcript.pyannote[590].speaker SPEAKER_01
transcript.pyannote[590].start 1646.54159375
transcript.pyannote[590].end 1646.79471875
transcript.pyannote[591].speaker SPEAKER_01
transcript.pyannote[591].start 1647.48659375
transcript.pyannote[591].end 1650.84471875
transcript.pyannote[592].speaker SPEAKER_01
transcript.pyannote[592].start 1651.30034375
transcript.pyannote[592].end 1656.73409375
transcript.pyannote[593].speaker SPEAKER_03
transcript.pyannote[593].start 1655.58659375
transcript.pyannote[593].end 1658.20221875
transcript.pyannote[594].speaker SPEAKER_03
transcript.pyannote[594].start 1658.35409375
transcript.pyannote[594].end 1662.04971875
transcript.pyannote[595].speaker SPEAKER_01
transcript.pyannote[595].start 1662.13409375
transcript.pyannote[595].end 1668.58034375
transcript.pyannote[596].speaker SPEAKER_03
transcript.pyannote[596].start 1663.70346875
transcript.pyannote[596].end 1665.49221875
transcript.pyannote[597].speaker SPEAKER_03
transcript.pyannote[597].start 1667.63534375
transcript.pyannote[597].end 1668.56346875
transcript.pyannote[598].speaker SPEAKER_03
transcript.pyannote[598].start 1668.58034375
transcript.pyannote[598].end 1669.76159375
transcript.pyannote[599].speaker SPEAKER_03
transcript.pyannote[599].start 1670.25096875
transcript.pyannote[599].end 1673.87909375
transcript.pyannote[600].speaker SPEAKER_03
transcript.pyannote[600].start 1674.67221875
transcript.pyannote[600].end 1676.54534375
transcript.pyannote[601].speaker SPEAKER_03
transcript.pyannote[601].start 1677.00096875
transcript.pyannote[601].end 1682.55284375
transcript.pyannote[602].speaker SPEAKER_03
transcript.pyannote[602].start 1682.95784375
transcript.pyannote[602].end 1687.63221875
transcript.pyannote[603].speaker SPEAKER_03
transcript.pyannote[603].start 1689.20159375
transcript.pyannote[603].end 1693.84221875
transcript.pyannote[604].speaker SPEAKER_03
transcript.pyannote[604].start 1695.17534375
transcript.pyannote[604].end 1699.69784375
transcript.pyannote[605].speaker SPEAKER_03
transcript.pyannote[605].start 1700.69346875
transcript.pyannote[605].end 1702.41471875
transcript.pyannote[606].speaker SPEAKER_03
transcript.pyannote[606].start 1702.92096875
transcript.pyannote[606].end 1732.50284375
transcript.pyannote[607].speaker SPEAKER_02
transcript.pyannote[607].start 1726.03971875
transcript.pyannote[607].end 1726.46159375
transcript.pyannote[608].speaker SPEAKER_01
transcript.pyannote[608].start 1726.46159375
transcript.pyannote[608].end 1726.81596875
transcript.pyannote[609].speaker SPEAKER_02
transcript.pyannote[609].start 1726.81596875
transcript.pyannote[609].end 1726.86659375
transcript.pyannote[610].speaker SPEAKER_01
transcript.pyannote[610].start 1732.55346875
transcript.pyannote[610].end 1741.46346875
transcript.pyannote[611].speaker SPEAKER_03
transcript.pyannote[611].start 1735.45596875
transcript.pyannote[611].end 1736.60346875
transcript.pyannote[612].speaker SPEAKER_03
transcript.pyannote[612].start 1738.45971875
transcript.pyannote[612].end 1738.81409375
transcript.pyannote[613].speaker SPEAKER_01
transcript.pyannote[613].start 1741.59846875
transcript.pyannote[613].end 1746.07034375
transcript.pyannote[614].speaker SPEAKER_03
transcript.pyannote[614].start 1741.81784375
transcript.pyannote[614].end 1742.44221875
transcript.pyannote[615].speaker SPEAKER_01
transcript.pyannote[615].start 1746.25596875
transcript.pyannote[615].end 1746.62721875
transcript.pyannote[616].speaker SPEAKER_03
transcript.pyannote[616].start 1746.62721875
transcript.pyannote[616].end 1746.64409375
transcript.pyannote[617].speaker SPEAKER_01
transcript.pyannote[617].start 1746.64409375
transcript.pyannote[617].end 1746.67784375
transcript.pyannote[618].speaker SPEAKER_01
transcript.pyannote[618].start 1746.77909375
transcript.pyannote[618].end 1746.96471875
transcript.pyannote[619].speaker SPEAKER_03
transcript.pyannote[619].start 1746.96471875
transcript.pyannote[619].end 1747.23471875
transcript.pyannote[620].speaker SPEAKER_01
transcript.pyannote[620].start 1747.48784375
transcript.pyannote[620].end 1747.50471875
transcript.pyannote[621].speaker SPEAKER_03
transcript.pyannote[621].start 1747.50471875
transcript.pyannote[621].end 1748.04471875
transcript.pyannote[622].speaker SPEAKER_03
transcript.pyannote[622].start 1748.36534375
transcript.pyannote[622].end 1749.54659375
transcript.pyannote[623].speaker SPEAKER_03
transcript.pyannote[623].start 1749.59721875
transcript.pyannote[623].end 1749.63096875
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 1749.63096875
transcript.pyannote[624].end 1749.79971875
transcript.pyannote[625].speaker SPEAKER_03
transcript.pyannote[625].start 1750.12034375
transcript.pyannote[625].end 1750.82909375
transcript.pyannote[626].speaker SPEAKER_03
transcript.pyannote[626].start 1751.21721875
transcript.pyannote[626].end 1751.72346875
transcript.pyannote[627].speaker SPEAKER_03
transcript.pyannote[627].start 1752.26346875
transcript.pyannote[627].end 1760.83596875
transcript.pyannote[628].speaker SPEAKER_04
transcript.pyannote[628].start 1752.51659375
transcript.pyannote[628].end 1754.15346875
transcript.pyannote[629].speaker SPEAKER_01
transcript.pyannote[629].start 1754.15346875
transcript.pyannote[629].end 1756.04346875
transcript.pyannote[630].speaker SPEAKER_01
transcript.pyannote[630].start 1759.46909375
transcript.pyannote[630].end 1759.94159375
transcript.pyannote[631].speaker SPEAKER_01
transcript.pyannote[631].start 1761.00471875
transcript.pyannote[631].end 1762.54034375
transcript.pyannote[632].speaker SPEAKER_03
transcript.pyannote[632].start 1762.54034375
transcript.pyannote[632].end 1762.57409375
transcript.pyannote[633].speaker SPEAKER_01
transcript.pyannote[633].start 1762.57409375
transcript.pyannote[633].end 1762.59096875
transcript.pyannote[634].speaker SPEAKER_03
transcript.pyannote[634].start 1762.59096875
transcript.pyannote[634].end 1762.62471875
transcript.pyannote[635].speaker SPEAKER_01
transcript.pyannote[635].start 1762.62471875
transcript.pyannote[635].end 1762.70909375
transcript.pyannote[636].speaker SPEAKER_03
transcript.pyannote[636].start 1762.70909375
transcript.pyannote[636].end 1762.84409375
transcript.pyannote[637].speaker SPEAKER_01
transcript.pyannote[637].start 1762.84409375
transcript.pyannote[637].end 1762.96221875
transcript.pyannote[638].speaker SPEAKER_03
transcript.pyannote[638].start 1762.96221875
transcript.pyannote[638].end 1763.16471875
transcript.pyannote[639].speaker SPEAKER_01
transcript.pyannote[639].start 1762.97909375
transcript.pyannote[639].end 1764.36284375
transcript.pyannote[640].speaker SPEAKER_03
transcript.pyannote[640].start 1764.54846875
transcript.pyannote[640].end 1765.34159375
transcript.pyannote[641].speaker SPEAKER_03
transcript.pyannote[641].start 1766.08409375
transcript.pyannote[641].end 1766.48909375
transcript.pyannote[642].speaker SPEAKER_03
transcript.pyannote[642].start 1767.68721875
transcript.pyannote[642].end 1770.42096875
transcript.pyannote[643].speaker SPEAKER_03
transcript.pyannote[643].start 1771.36596875
transcript.pyannote[643].end 1772.91846875
transcript.pyannote[644].speaker SPEAKER_03
transcript.pyannote[644].start 1773.88034375
transcript.pyannote[644].end 1775.33159375
transcript.pyannote[645].speaker SPEAKER_03
transcript.pyannote[645].start 1775.73659375
transcript.pyannote[645].end 1776.95159375
transcript.pyannote[646].speaker SPEAKER_03
transcript.pyannote[646].start 1777.69409375
transcript.pyannote[646].end 1783.16159375
transcript.pyannote[647].speaker SPEAKER_03
transcript.pyannote[647].start 1783.34721875
transcript.pyannote[647].end 1789.87784375
transcript.pyannote[648].speaker SPEAKER_03
transcript.pyannote[648].start 1790.19846875
transcript.pyannote[648].end 1798.07909375
transcript.pyannote[649].speaker SPEAKER_03
transcript.pyannote[649].start 1798.55159375
transcript.pyannote[649].end 1800.57659375
transcript.pyannote[650].speaker SPEAKER_03
transcript.pyannote[650].start 1800.98159375
transcript.pyannote[650].end 1815.61221875
transcript.pyannote[651].speaker SPEAKER_01
transcript.pyannote[651].start 1816.06784375
transcript.pyannote[651].end 1820.92784375
transcript.pyannote[652].speaker SPEAKER_03
transcript.pyannote[652].start 1819.07159375
transcript.pyannote[652].end 1819.52721875
transcript.pyannote[653].speaker SPEAKER_01
transcript.pyannote[653].start 1821.29909375
transcript.pyannote[653].end 1824.67409375
transcript.pyannote[654].speaker SPEAKER_02
transcript.pyannote[654].start 1822.71659375
transcript.pyannote[654].end 1823.61096875
transcript.pyannote[655].speaker SPEAKER_02
transcript.pyannote[655].start 1843.96221875
transcript.pyannote[655].end 1844.02971875
transcript.pyannote[656].speaker SPEAKER_02
transcript.pyannote[656].start 1844.97471875
transcript.pyannote[656].end 1845.02534375
transcript.pyannote[657].speaker SPEAKER_01
transcript.pyannote[657].start 1851.85971875
transcript.pyannote[657].end 1854.79596875
transcript.pyannote[658].speaker SPEAKER_01
transcript.pyannote[658].start 1857.51284375
transcript.pyannote[658].end 1859.97659375
transcript.whisperx[0].start 7.042
transcript.whisperx[0].end 10.664
transcript.whisperx[0].text 好 院長謝謝麻煩請卓榮泰院長麻煩請卓院長備詢好 卓院長等待總質詢又多了兩個多禮拜不過今天我們能夠順利的來針對這個會期的總質詢我們就就事論事並且好好的來討論現在台灣面臨到的狀況上個禮拜五
transcript.whisperx[1].start 36.089
transcript.whisperx[1].end 59.507
transcript.whisperx[1].text 您的這個針對美國關稅政策因應報告作為我們也在台下有全程的聆聽您的一個講法但是我想有一些立場以及我們對外一致的政策方向還是要先跟院長來就教首先在你的報告裡面一開始有提到這是你報告上面的文字喔
transcript.whisperx[2].start 60.063
transcript.whisperx[2].end 85.499
transcript.whisperx[2].text 就說是川普政府他們要追求跟其他國家之間的公平互惠貿易關係他也講到驅使其他國家在貿易之中採取更公平的做法保護美國的經濟利益促進本土的產業復甦那麼說如果說在川普政府他一味的認為是說他要追求所謂更公平的做法那難道現在的做法不公平嗎
transcript.whisperx[3].start 86.56
transcript.whisperx[3].end 111.599
transcript.whisperx[3].text 我想美國政府會認為 過多的貿易赤字對他來講是國家財政的子彈那我們怎麼認為美國政府有美國政府的講法川普有川普的講法但我們怎麼認為這個是上個禮拜我在您報告裡面我聆聽了20分鐘我沒有聽到的我們的做法我們怎麼認為川普說現在世界各國跟美國貿易是不公平的來 下一張
transcript.whisperx[4].start 112.322
transcript.whisperx[4].end 129.469
transcript.whisperx[4].text 這段應該是在描述美國的政府的立場說法所以你的報告把美國的講法寫出來但我要知道是中華民國政府怎麼認為啊裡面有提到我們跟美國任何的談判都是在爭取國家最大的利益也是在維護產業國際但是回歸前提
transcript.whisperx[5].start 132.642
transcript.whisperx[5].end 160.508
transcript.whisperx[5].text 院長我們共同面臨到是美國總統川普他是一個強人他是一個談判高手大家都知道關稅只是第一步可能之後接下來還有匯率可能接下來還有國債這都是美國政府的問題一個一個想要跟世界各國來解決但現在我們要看到的是中華民國政府我們怎麼認為美國政府講的事情是對或錯
transcript.whisperx[6].start 161.728
transcript.whisperx[6].end 184.014
transcript.whisperx[6].text 當川普講是說這是不公平的貿易行為的時候我們認為這是不公平的嗎我想我不宜去公開批評哪一個政府的對錯我只說我們跟美國之間沒有公開批評啊我說我不宜啦我說我們跟美國之間或我跟我們跟世界各國之間所以過去我們跟美國政府所做真的有不公平嗎
transcript.whisperx[7].start 185.626
transcript.whisperx[7].end 201.554
transcript.whisperx[7].text 我們希望追求的雙方互利而且貿易不要失衡的狀況底下但是我方有我方的利益點對方有對方的考量比方說我們在高科技這個產品上面如果給我們更多的優惠的情況底下
transcript.whisperx[8].start 202.114
transcript.whisperx[8].end 230.437
transcript.whisperx[8].text 會有利於我們整個產業的結構跟產業的升級跟發展這個是我方的利益我們跟美國順差是事實是不否認但是我們的順差建立在是因為不公平所以才造成順差嗎這個順差建立在我們在川普總統第一任的時候有大量的台商回來台灣是嘛所以這不是不公平嘛也建立在整個AI的發展起來是嘛這是我們台灣人企業的高科技的強盛嘛所以這不是不公平嘛
transcript.whisperx[9].start 231.338
transcript.whisperx[9].end 250.174
transcript.whisperx[9].text 那為什麼連一句我們對美國講川普總統講說這是不公平他一竿子打翻一傳台灣外公一句話叫打外逃啦他先打外逃說不公平然後再來請各位談判小組來談判如果我們順著他話講的話那我們不就是掉入他談判高手的陷阱嗎
transcript.whisperx[10].start 250.814
transcript.whisperx[10].end 272.839
transcript.whisperx[10].text 我一定放心我們當然不會掉入一個你認為的陷阱或是我們沒有考慮到的問題我們不會掉入到那個問題裡面院長我先請教所以之前美國總統川普也講說台灣偷走半導體產業他要把它給拿回來這句話你認同嗎台灣的半導體領先產業在國內保持所以台灣有偷嗎
transcript.whisperx[11].start 273.934
transcript.whisperx[11].end 293.401
transcript.whisperx[11].text 我們一定在國內保持繼續最領先的這個地位所以台灣沒有偷嘛對全世界來講台灣沒有偷沒有偷我們跟世界充分的合作我們在製造上面的這個發展是大家所肯定的但研發過程或許要互相的學習院長這就本席先提出來在您上禮拜五的報告裡面
transcript.whisperx[12].start 294.246
transcript.whisperx[12].end 308.911
transcript.whisperx[12].text 沒有看到我們針對川普總統一開始所講所謂的不公平所謂的偷半導體偷晶片等相關做出很強硬具體而且捍衛我國主張立場的說法
transcript.whisperx[13].start 309.611
transcript.whisperx[13].end 328.644
transcript.whisperx[13].text 再來對不起也許我有一些看到我們有很多的敘述但是我認為我們的重點在於解決的方法院長我也想要知道解決方法所以現在賴清德總統也說了我們已經有第一階段的談判嘛是不是好不就細節因為我知道這個談判會一而再再而三但是我們預期會有幾階段談判
transcript.whisperx[14].start 330.206
transcript.whisperx[14].end 354.351
transcript.whisperx[14].text 預期會有幾階段這無法預期我們只知道說我們現在4月11日要開始的視訊會議我們的視訊會議如果牽扯到機密你不用回答我們視訊會議現在官員成績到多少官員成績因為我知道說我們的談判小組現在是由副院長來做領導嘛副院長依法過去到現在立院是沒有邀請他上備巡台
transcript.whisperx[15].start 355.114
transcript.whisperx[15].end 381.429
transcript.whisperx[15].text 那所以我想邀請可能沒有辦法跟委員報告從台美經貿請教第一次的視訊會議副院長有主持嗎台美經貿專案小組都是副院長在主持那對外談判對外談判的總負責人就是我們的政委談判代表楊振尼政委這是我們一直對外的這個分工王政委所以當天第一次的這個談判視訊談判王政委主持
transcript.whisperx[16].start 382.925
transcript.whisperx[16].end 399.235
transcript.whisperx[16].text 但是我們基於雙方的默契我想美方也沒有說他們的談判代表是誰我們也沒有在打破這個默契這是一個團隊好 本席想要了解的是因為現在看得出來是川普總統在主導一切的政策
transcript.whisperx[17].start 399.994
transcript.whisperx[17].end 427.304
transcript.whisperx[17].text 那我們來看一下最近亞洲日本跟我們很直接嘛日本即將在18號正式要有談判那過去我們也看到新聞是日本首相跟川普總統直接面對面的談判這可能就直指核心啦我們打蛇打青春 情蛇牽行王啊那談判過程一定是這樣子那我們現在還沒有辦法了解說我們的成績到多少但是我們只有政委是主要的談判負責人
transcript.whisperx[18].start 428.151
transcript.whisperx[18].end 456.826
transcript.whisperx[18].text 他是一個團隊 我的政委是我們的總談判代表團隊嘛 但是我們最高就是政委嘛 是不是這樣他是我們的總談判代表好 總談判代表就是我們的楊政委 是不是但日本現在看起來是他們的首相而且日本的首相在對他們的國會裡面講他講說不會妥協 並且說報復性的關稅選項也沒有被排除當然 他事前先講是說報復性的關稅不符合國家利益但是沒有排除
transcript.whisperx[19].start 457.968
transcript.whisperx[19].end 482.554
transcript.whisperx[19].text 對比我們現在我們自己一直在強調說我們到底籌碼還有多少那我想請教一下院長我們到目前為止我們現在盤點我們手中的籌碼我們的談判進行的成果你覺得會是比日本好還是比日本差如果當年我們不是被排除或是主動退出聯合國我也會努力現在打電話給川普總統院長
transcript.whisperx[20].start 485.031
transcript.whisperx[20].end 501.259
transcript.whisperx[20].text 我們現在在講2025年的關稅你跟我講是1976年1974年的事情石破首相跟川普總統直接對談可不可以面對問題解決問題我們來focus在現在的問題我從開始到現在我一直強調的是說我們怎麼樣能夠增加我們的談判籌碼我們來努力
transcript.whisperx[21].start 507.702
transcript.whisperx[21].end 532.989
transcript.whisperx[21].text 我現在在講的是日本首相他有提到他也跟國內講了他講說報復性的關稅沒有排除但不會是他的優先選項對比我們中華民國一開始就講說不會採取報復性的關稅那是不是我們就少了一個可以談判的工具跟籌碼沒有 但我們還是進到第一輪最優先的談判的地位去啦院長
transcript.whisperx[22].start 535.495
transcript.whisperx[22].end 551.004
transcript.whisperx[22].text 本席就事論性和理性的跟您討論現在看到川普總統有講說甚至有可能有些國家可以有10%豁免的關稅我們有沒有機會爭取到當然這個都是從談判的立即點開始談起的
transcript.whisperx[23].start 552.497
transcript.whisperx[23].end 569.647
transcript.whisperx[23].text 總統說我們從零關稅談起就是一個態度我們不會採取報復這也是一個態度如果不是這樣子的話我們有可能現在就排在後面也許我們排在145去了但是我們沒有我們就站在最優先的地位只要我們備足了我們自己的方案我們的談判代表團
transcript.whisperx[24].start 571.772
transcript.whisperx[24].end 585.45
transcript.whisperx[24].text 跟談判的時間準備出來我們就可以談判了一直講說台美關係最好一直講說台美的夥伴關係最佳結果居然講是說原來我們可以進入到第一階段談判是因為我們先接受零關稅談起
transcript.whisperx[25].start 586.992
transcript.whisperx[25].end 612.201
transcript.whisperx[25].text 我們沒有這樣講 你剛剛講的意思就這樣你講說如果說沒有的話我們沒有宣布說零關稅的話我們就是145名以後嘛所以到底哪一句話是真的我想這是要讓國人知道因為兩千三百五十萬人共同面對共同承擔你說我們要面對事實嘛 總統講出來的話從零關稅談起 我們現在採取報復所以我們事實就是站在最優先的地位說實在話 我們再來討論一下
transcript.whisperx[26].start 615.882
transcript.whisperx[26].end 642.433
transcript.whisperx[26].text 我們的籌碼還有哪一些半導體是我們很重要的籌碼嗎我認為我們籌碼第一個是我們有高科技的國家力量是沒有錯第二個我們應該有的籌碼是國內團結當然所以我到現在為止跟您都講的是我們對外一致中華民國對國內我跟你政黨立場不同但是對國外我們一致對外就是以中華民國為台灣兩千三百五十萬人的利益為優先這一點請您記得來請看一下
transcript.whisperx[27].start 644.051
transcript.whisperx[27].end 671.088
transcript.whisperx[27].text 揮打昨天有宣布說他要斥資攜手台積電攜手鴻海攜手偉創宣布五千億四年的美國投資想請教台積電 鴻海 偉創這一些他是多增加五千億還是說是之前跟台積電一樣就是宣布他在美國投資一千億美元有沒有掌握這個因為昨天晚上
transcript.whisperx[28].start 672.386
transcript.whisperx[28].end 693.176
transcript.whisperx[28].text NVIDIA這樣的宣布嘛那國內的廠商要到國外去做任何的投資都要經過投審會投審機制 沒錯所以也還沒有經過投審會當然 昨天晚上到現在是沒有經過投審會那輝達已經先宣布了五千億台積電 偉創 鴻海至少輝達裡面就已經講到這三家大型企業也是我們國內非常重要的企業
transcript.whisperx[29].start 694.076
transcript.whisperx[29].end 717.976
transcript.whisperx[29].text 那我們現在也過了 您剛講了從昨天晚上到現在也過了至少12個小時有沒有去了解掌握詢問到底是多增加投資還是跟之前台積電所宣布的1000億或是美國總統川普把他宣布的2000億是重疊的民間企業要對國外去投資是他來申請不是我們去問他他們是一般的民間企業嗎
transcript.whisperx[30].start 719.605
transcript.whisperx[30].end 730.343
transcript.whisperx[30].text 理論上他程序是要如此啊我們的籌碼是我們的籌碼是我們的高科技這是您剛開公民營的第一個籌碼結果我們現在籌碼被回答先喊了
transcript.whisperx[31].start 731.368
transcript.whisperx[31].end 757.48
transcript.whisperx[31].text 如果說是我們談判的過程裡面我們講說我們的台積電、鴻海跟偉創可以去投資會不會更有談判的空間?你也應該知道啊世界各國跟這一次美國關稅在計算的過程當中過去什麼樣的合作都不影響它那個公司的計算那我們過去最怕什麼?過去最怕說台積電去美投資一千億會連動所謂的鴻溪效應
transcript.whisperx[32].start 758.601
transcript.whisperx[32].end 785.629
transcript.whisperx[32].text 就是把上中下游廠商一起帶過去這有它產業的需求跟考量是 所以現在是不是已經看到這樣的一個起步了如果說輝達去 鴻海去 台積電去 偉創去那您一直跟我講說昨天晚上的事情但是從昨天晚上到現在已經12個小時了你難道沒有認為是說應該要了解一下請經濟部 請我們相關的部會去了解一下我知道你的心急啦是 當然急啊
transcript.whisperx[33].start 786.949
transcript.whisperx[33].end 791.714
transcript.whisperx[33].text 不實際 昨天的晚上是我們的晚上我們現在白天是對方的晚上院長
transcript.whisperx[34].start 792.654
transcript.whisperx[34].end 821.214
transcript.whisperx[34].text 我們不要做這種細節我們鴻海台積電偽創在國內沒有研發中心沒有營運總部嗎對 但是在美國的宣布他們必須用程序來跟政府做說明但你不能要求12個小時以內我沒有不合理的要求是因為這是國人大家共同所關心的事情因為我們現在面臨到的是整個世界的挑戰跟變化院長我希望但是我們要穩住我希望
transcript.whisperx[35].start 822.082
transcript.whisperx[35].end 830.221
transcript.whisperx[35].text 本席所提出來的疑問都可以獲得您的解答每個人本席站在這邊代表的是人民
transcript.whisperx[36].start 831.075
transcript.whisperx[36].end 854.714
transcript.whisperx[36].text 本席站在這邊為人民發聲本席站在這邊是希望人民的聲音能夠被行政部門聽到並且獲得解答院長所以今天早上經濟部部長有受訪的時候講到是說假扣動假報吃苦當吃補台灣人不都是這樣嗎您覺得這算不算失言還是預告我們的苦日子要來了
transcript.whisperx[37].start 855.609
transcript.whisperx[37].end 876.514
transcript.whisperx[37].text 沒有我覺得這個是當我們面對一個挑戰的時候你如果是有健康的態度面對它而不是懷憂喪志而必須絕對沒有懷憂喪志但我們要超前部署我們要正向 積極 陽光 專業這才是重點啊像4月3號以前我們就把所有關稅可能的推估算出來這就是超前部署
transcript.whisperx[38].start 877.054
transcript.whisperx[38].end 890.935
transcript.whisperx[38].text 但是一出來之後我們不會馬上第一時間就有看你的報告但現在很遺憾的是當本席從質詢到現在15分鐘我都還沒有獲得你正式正面的一個回答再來 我想請教 院長
transcript.whisperx[39].start 892.652
transcript.whisperx[39].end 920.414
transcript.whisperx[39].text 現在有委員不管藍營立委綠營立委甚至有產業界也都有建議我們現在談判小組當然政委他可能有他的專業但是以國際形勢瞬息萬變來講以及我們真的希望是能夠直指核心跟川普總統來去做一個溝通跟談判有人建議是說是不是能夠敦請我們前總統蔡英文女士來擔任我們的談判小組召集人
transcript.whisperx[40].start 921.994
transcript.whisperx[40].end 947.406
transcript.whisperx[40].text 您的聲音我們都聽見了各方的聲音我們都聽見了但是基於現在您覺得合不合適我們跟美國的這種關係第一 蔡英文總統 陳總統她的英文非常流利絕對沒有問題第二 她應該算是我們中華民國史上元首以前先不講 民選元首直接跟美國總統通過電話的人蔡前總統的語文 她的談判能力她的國際視野以及對國內政務的賢熟度
transcript.whisperx[41].start 950.823
transcript.whisperx[41].end 969.883
transcript.whisperx[41].text 絕對沒有問題但是現在國家的外交途徑我們要跟國外任何一個國家進行交涉我們都必須就人選互相有默契所以是美國不接受蔡英文前總統我們沒有這樣說那你剛又講說跟國家有默契那我們現在不就是跟美國談判嗎
transcript.whisperx[42].start 971.044
transcript.whisperx[42].end 998.891
transcript.whisperx[42].text 我們現在已經啟動了談判了是那我們現在在講是說如果說有更有代表性甚至更能夠直接溝通會不會更能夠對於我們中華民國為我們台灣取得一個優秀的位置那現在是卓院長不願意去去拜託蔡英文前總統還是賴總統不願意拜託蔡英文前總統我想蔡英文前總統會非常了解今天委員對他的肯定
transcript.whisperx[43].start 1001.786
transcript.whisperx[43].end 1021.158
transcript.whisperx[43].text 你非常肯定蔡前總統 全國人民都知道了 謝謝你沒有問題 我說實在話 面對問題我們解決問題我確實 蔡英文前總統她的英文能力我剛講了 以及她跟川普總統通過電話這如果能夠為我們中華民國爭取到更有利的位置 何樂而不為
transcript.whisperx[44].start 1021.998
transcript.whisperx[44].end 1041.872
transcript.whisperx[44].text 當然啊這就是我們現在要凝聚以及我們要展現的籌碼但我覺得很遺憾的是很多東西是我們有籌碼可是我們民進黨政府好像不願意用來籌碼不是擺在桌上賭徒才會把籌碼擺在桌上我們不是賭徒我們不是在做一場世界性的大賭博
transcript.whisperx[45].start 1043.322
transcript.whisperx[45].end 1053.613
transcript.whisperx[45].text 我們在做世界性的大補賭我們不是賭徒才會把籌碼擺在桌上我實在沒有辦法聽得懂你的這樣的一個講法因為被本席來講這絕對不是一場賭博被本席來講台灣的產業發展我們的中小企業我們的農業我們的相關產業絕對不是賭博
transcript.whisperx[46].start 1064.144
transcript.whisperx[46].end 1086.346
transcript.whisperx[46].text 如果你以賭博的心態來看待的話我覺得非常的遺憾而且我覺得會非常的危險我們的籌碼是放在我們應該放的地方不是擺在這裡討論的我再請教880億現在有講是說要延後一個禮拜提出來那我們也看到之前其實特別預算編列有
transcript.whisperx[47].start 1087.096
transcript.whisperx[47].end 1114.366
transcript.whisperx[47].text 那時候是超徵稅收所以說我們有編列了一個特別預算條例那時候還是用易後強化經濟跟社會韌性以及全民共享經濟成果特別條例這時候你應該了解嘛到最後是3800億的一個規模分三個部分有普發現金有補助台電以及有所謂的這個易後的重建跟補貼等等那我們現在請教一下我們現在要提出來的這880億
transcript.whisperx[48].start 1116.465
transcript.whisperx[48].end 1126.567
transcript.whisperx[48].text 的特別預算預計也是採取用特別條例的方式對吧必須要有特別條例是那什麼時候會提出來呢什麼時候會提出來
transcript.whisperx[49].start 1128.294
transcript.whisperx[49].end 1155.964
transcript.whisperx[49].text 我們一開始提出了880億的支持方案結果有人說我們大傻逼有人說2000億我們又跟產業界進行了各種不同的方式的溝通產業界又給了我們一些意見所以我們重新再整合這樣的一個基礎跟規模把產業界的意見加進來我們現在努力在下個禮拜盡快能夠通過一個特別條例出行政院
transcript.whisperx[50].start 1157.091
transcript.whisperx[50].end 1164.673
transcript.whisperx[50].text 下個禮拜會通過特別條例那規模會是比除了880億以外還會不會增加其他的部分其他的
transcript.whisperx[51].start 1166.982
transcript.whisperx[51].end 1193.149
transcript.whisperx[51].text 盤點這幾天跟產業界的這個座談所以預計會有多大的規模目前我還沒有辦法說一個我們就是以八百八十億當作基礎當作這個架構我再看一下上次的一個特別條例到最後裡面是有包含這也是行政院之後提出來的有包含補發現金六千塊所以有一千一百多億有包含補貼是一千三百七十億以及補助台電一千億
transcript.whisperx[52].start 1194.195
transcript.whisperx[52].end 1214.611
transcript.whisperx[52].text 所以我們在這次的這個特別條例裡面會有其他的方向嗎?有符合現在這個趨勢所需要的我們會考量產業界的需求跟國人的需求所以本期可以就院長剛剛講這一段話來推估有可能推出的特別條例的原額額度比880億還要高
transcript.whisperx[53].start 1216.485
transcript.whisperx[53].end 1239.265
transcript.whisperx[53].text 目前有這個可能但是還沒有做任何的定案好那再來喔15個縣市長上個禮拜也開了一次會並且有四大建言我看到院長接受這個媒體詢問的時候講了一句話說對的事情大家一起談我其實是認同的還有一句話沒有講這不對的事情
transcript.whisperx[54].start 1240.151
transcript.whisperx[54].end 1266.389
transcript.whisperx[54].text 不要拿來談不對的事情不要拿來談那對的事情什麼是對的事情什麼是不對的事情也不是您認定也不是大家認定而是我們一起共同集思廣益想方法我想院長不應該那麼的一個威權的態度認為是說在野或者是縣市長所提出來的對與不對我想我們不要用這樣子一個判斷我們跟產業座談也是要得到更多這樣的意見所以15位縣市長代表性算足了吧
transcript.whisperx[55].start 1270.95
transcript.whisperx[55].end 1299.531
transcript.whisperx[55].text 地方父母官2022年的民意選出來並且他們第一線的去溝通了解產業的需求即便15個縣市長跟院長可能是不同黨派但畢竟他也服務超過三分之二台灣的人口數那15個縣市長所提出來的這個意見我覺得院長真的應該要好好的來談一談我們都從不了解他們提出的意見你說你不了解
transcript.whisperx[56].start 1300.131
transcript.whisperx[56].end 1327.739
transcript.whisperx[56].text 我們都充分了解那其中有提到既然要談裡面包括說普發現金的建議包括說召開國事會議您認為呢我記得他提了七項還幾項意見吧四大項其中有一項就是說國事因為你認為是說對的事情大家一起談嘛那我剛剛聽你的這個詢答裡面也不認為是說所有提出來這四大項
transcript.whisperx[57].start 1329.298
transcript.whisperx[57].end 1358.277
transcript.whisperx[57].text 都不能談嘛那既然要談大家應該要坐下來談啊那國事會議現在建議召開國事會議趕快縣市長不只藍營縣市長綠營縣市長都一起來談我剛剛說說是盧市長中部八個縣市提出的七項建議侯市長新北市他也提出了四項建議那張善政市長桃園他也提出好像有四項建議然後上禮拜四十五個縣市長也提出了建議一二十項的建議我們都把它充分了解放在一起
transcript.whisperx[58].start 1360.218
transcript.whisperx[58].end 1378.825
transcript.whisperx[58].text 要不要談?談哪一件?對的事情大家一起談啊這是你講的啊我們會找當中對的事情好好的來談所以現在的講師說要召開國事會議您的態度是什麼?國事會議應該不是我一個人決定開不開的問題這一定要社會的共識國事會議是要總統啦但重點在於說您要不要建議總統是不是應該大家來溝通
transcript.whisperx[59].start 1387.236
transcript.whisperx[59].end 1408.026
transcript.whisperx[59].text 我們已經過去到現在已經討論有很多重大方向跟決策我也肯定你的講法啊對的事情大家一起談但重點是現在談要不要有一個方向要不要一個會議要不要一個做法您可以在討論相關事件的時候也找在野黨來溝通三黨團也都到行政院溝通嘛
transcript.whisperx[60].start 1408.706
transcript.whisperx[60].end 1435.231
transcript.whisperx[60].text 那現在15個縣市長站出來我們是不是應該也要有正向回應15個縣市長的訴求我們都相信總統也看到了這個剛剛您說的這幾項的建議那至於該怎麼做我們現在這個禮拜你也看到最重要的是準備跟美方談判的所有的過程這個不是國事會議可以取代的所以我們先把眼前該做的事情把它做好院長
transcript.whisperx[61].start 1438.933
transcript.whisperx[61].end 1451.568
transcript.whisperx[61].text 國政多如牛毛但絕對沒有哪一個優先哪一個順序你剛剛就有講到你的特別條例下個禮拜要提出來
transcript.whisperx[62].start 1452.452
transcript.whisperx[62].end 1480.148
transcript.whisperx[62].text 那是不是就已經在一起來進行美國的談判很重要我們國內的特別條例很重要相關的治安相關的國內的發展也很重要所以這是每一個委員站在這邊因應不同面向因為每一個委員有每一個選區不同的想法不同的考量都要提供給您而不是一竿子的否定院長我想請教到目前在一個月左右
transcript.whisperx[63].start 1481.092
transcript.whisperx[63].end 1508.34
transcript.whisperx[63].text 就是520也就是內閣團隊上任一週年到目前為止你有沒有看到今天最新的民調不管是賴總統或是您自己我們來看一下幾張支持度上任以來最低次低啦上任以來次低但是看起來它也接近了這個交叉點
transcript.whisperx[64].start 1510.063
transcript.whisperx[64].end 1522.531
transcript.whisperx[64].text 那520即將到來你認為隔園也好或是我們整個團隊有沒有需要調整的必要隔園在將近11個月的過程裡面都非常的認真但面對所有的問題我當然
transcript.whisperx[65].start 1524.967
transcript.whisperx[65].end 1548.516
transcript.whisperx[65].text 會不會調整我們不會沒有可能把所有的事情做得圓滿當然當中有值得檢討的地方值得檢討的地方那會不會調整因為一年時間到了國人會期待看到我們的週年成績單我不知道說在520的時候你可以拿出什麼樣週年成績單來說服國人讓國人的滿意度提升但另外一個部分是我們的內閣團隊有沒有調整的計畫方向
transcript.whisperx[66].start 1549.775
transcript.whisperx[66].end 1564.156
transcript.whisperx[66].text 委員你應該知道你在這樣問不會得到我的答案我要說會對閣員我如果說會 是不是會打擊閣員的實際院長我必須很鄭重的要求你我鄭重的敬告
transcript.whisperx[67].start 1565.217
transcript.whisperx[67].end 1589.465
transcript.whisperx[67].text 本席站在這邊問的都是人民所關心的議題如果說你用那麼輕描的態度說這樣問不會有答案那這樣子是質詢嗎這樣是質詢的精神嗎我沒有講特定人我沒有指名道姓誰我現在只是問你說有沒有調整的方向連這樣子你都這樣子都可以傲慢的不回答我剛剛跟你說了大家都很努力但是不是每件事情都做得很好我們必須檢討來
transcript.whisperx[68].start 1591.26
transcript.whisperx[68].end 1620.465
transcript.whisperx[68].text 那人事的部分有一個東西你總是可以回答了NCC的委員什麼時候要提出來這個我自己要檢討我盡快把它提出來確實喔來 院長去年11月28的時候我們行政院就講了卓龍泰緊鑼密鼓的爭取中到現在四個半月過去了名單沒有出來我們嘗試很多但是遇到很多的困難說真的為什麼
transcript.whisperx[69].start 1623.819
transcript.whisperx[69].end 1638.941
transcript.whisperx[69].text 徵詢是大家不願意還是你徵詢的人還是不夠專業怕名單提出來之後被大家覺得說否定我們徵詢的對象一定是符合一定的專業程度好 那你有跟誰討論我想在場有NCC代理主委啊
transcript.whisperx[70].start 1640.391
transcript.whisperx[70].end 1655.169
transcript.whisperx[70].text 來有跟代理主委溝通嗎說我現在名單還沒有完成那NCC的業務會不會停擺有沒有關心過我一直要把這個人事給他補上來但是很多談的他當然有基本的專業的程度但是
transcript.whisperx[71].start 1655.609
transcript.whisperx[71].end 1673.18
transcript.whisperx[71].text 所以我們中華民國兩千三百五十萬人沒有符合院長標準要求的四位人選為什麼四個半月提不出來來我們看一下因為代理主委說我不清楚啊行政院沒有找他討論啊
transcript.whisperx[72].start 1674.764
transcript.whisperx[72].end 1699.351
transcript.whisperx[72].text 所以院長你自己也不找現在代理主委討論然後就讓NCC的委員名單一直提不出來你如果說沒有提出來立法院連審都沒有辦法審你了解吧我了解好再來因為人數不足所以現在空轉37家頻道面臨了換照問題怎麼辦誰要負起責任我還在努力盡快把它找一個人什麼時候可以提出來
transcript.whisperx[73].start 1701.051
transcript.whisperx[73].end 1715.436
transcript.whisperx[73].text 醜媳婦總要見公婆那本席期待的其實你謹慎是好事啊如果說你三個月的時間謹慎提出專業合乎大眾需求標準的名單我想立法院沒有否決的理由
transcript.whisperx[74].start 1715.996
transcript.whisperx[74].end 1734.684
transcript.whisperx[74].text 但最怕的就是你提出來的名單是不夠專業或是讓大家覺得就像過去一樣是因人設事 因黨設事那當然我們就有審查的空間可是我們現在要講的是四個半月過去了那請教院長 現在總質詢什麼時候可以提出來非常抱歉 我們找的人一定符合相當的專業水準
transcript.whisperx[75].start 1735.464
transcript.whisperx[75].end 1764.202
transcript.whisperx[75].text 所以要繼續空轉他未來的工作他相當有過濾那會讓NCC繼續空轉嗎沒有我們盡量努力那盡量努力什麼時候提出來如果我可以說個時間我希望這個月份我能夠提出來名單這個月這個月所以只剩兩個禮拜會不會跳票不會吧院長你在總質詢的承諾不要跳票兩個月四月底以前我們看到您提出來的名單可以嗎其實我已經在準備差不多好了但是這個最後差一點點的功夫
transcript.whisperx[76].start 1764.622
transcript.whisperx[76].end 1772.692
transcript.whisperx[76].text 最後 院長我們還是看一下現在最近的共諜案共諜案的部分 我想
transcript.whisperx[77].start 1773.925
transcript.whisperx[77].end 1797.25
transcript.whisperx[77].text 中華民國是我的國家台灣是我的家園任何人想要消滅中華民國我都反對共產黨要消滅中華民國我反共台獨想要消滅中華民國我反台獨因為這就是我們的國家我們大家一起安身立命但現在我們看到民進黨政府從總統府從黨部從外交部都有共諜的發聲
transcript.whisperx[78].start 1798.89
transcript.whisperx[78].end 1823.538
transcript.whisperx[78].text 這樣的狀況很多人在講啊是不是還有更大咖我們現在有沒有針對這部分因為我覺得這非常的重要國安議題但是也是我們現在各部會大家共同要面對的有沒有專案小組或說來了解現在到底還有多少有可能潛在的共諜就因為我們之前已經發現了這樣的威脅所以總統才在第二次國安會議當中會不會還有更大咖
transcript.whisperx[79].start 1851.935
transcript.whisperx[79].end 1854.159
transcript.whisperx[79].text 好 謝謝洪孟凱委員 謝謝主委長備詢接下來我們請登記第50號