iVOD / 164073

Field Value
IVOD_ID 164073
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164073
日期 2025-10-14
會議資料.會議代碼 院會-11-4-4
會議資料.會議代碼:str 第11屆第4會期第4次會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 4
會議資料.種類 院會
會議資料.標題 第11屆第4會期第4次會議
影片種類 Clip
開始時間 2025-10-14T10:33:54+08:00
結束時間 2025-10-14T11:05:15+08:00
影片長度 00:31:21
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/41bbccea3aa4171268c9bcc662c40138be26ac7b86047e26f8ae775ba66314c5c51d64fd757f76385ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 10:33:54 - 11:05:15
會議時間 2025-10-14T09:00:00+08:00
會議名稱 第11屆第4會期第4次會議(事由:一、對行政院院長施政報告繼續質詢。二、上午9時至10時為國是論壇時間。三、下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 11.89409375
transcript.pyannote[0].end 15.03284375
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 15.03284375
transcript.pyannote[1].end 16.55159375
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 30.57471875
transcript.pyannote[2].end 30.60846875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 30.60846875
transcript.pyannote[3].end 31.09784375
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 31.09784375
transcript.pyannote[4].end 31.19909375
transcript.pyannote[5].speaker SPEAKER_05
transcript.pyannote[5].start 31.62096875
transcript.pyannote[5].end 32.54909375
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 32.93721875
transcript.pyannote[6].end 36.09284375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 36.98721875
transcript.pyannote[7].end 38.13471875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 38.53971875
transcript.pyannote[8].end 42.84284375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 43.16346875
transcript.pyannote[9].end 45.07034375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 45.44159375
transcript.pyannote[10].end 47.41596875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 47.87159375
transcript.pyannote[11].end 48.69846875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 49.79534375
transcript.pyannote[12].end 51.39846875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 52.19159375
transcript.pyannote[13].end 53.45721875
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 54.04784375
transcript.pyannote[14].end 57.03471875
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 57.47346875
transcript.pyannote[15].end 60.25784375
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 60.49409375
transcript.pyannote[16].end 65.48909375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 65.64096875
transcript.pyannote[17].end 68.42534375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 69.28596875
transcript.pyannote[18].end 71.47971875
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 71.02409375
transcript.pyannote[19].end 74.06159375
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 75.12471875
transcript.pyannote[20].end 75.79971875
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 76.18784375
transcript.pyannote[21].end 77.90909375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 78.19596875
transcript.pyannote[22].end 79.83284375
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 79.32659375
transcript.pyannote[23].end 81.01409375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 81.55409375
transcript.pyannote[24].end 82.83659375
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 82.09409375
transcript.pyannote[25].end 87.30846875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 87.66284375
transcript.pyannote[26].end 92.43846875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 92.69159375
transcript.pyannote[27].end 94.96971875
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 94.42971875
transcript.pyannote[28].end 98.85096875
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 98.96909375
transcript.pyannote[29].end 99.03659375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 99.20534375
transcript.pyannote[30].end 100.15034375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 100.55534375
transcript.pyannote[31].end 103.77846875
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 104.18346875
transcript.pyannote[32].end 106.12409375
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 106.39409375
transcript.pyannote[33].end 110.02221875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 110.57909375
transcript.pyannote[34].end 112.38471875
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 113.51534375
transcript.pyannote[35].end 116.16471875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 113.68409375
transcript.pyannote[36].end 115.13534375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 116.33346875
transcript.pyannote[37].end 122.50971875
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 119.33721875
transcript.pyannote[38].end 121.86846875
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 122.50971875
transcript.pyannote[39].end 128.43284375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 122.52659375
transcript.pyannote[40].end 123.79221875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 127.96034375
transcript.pyannote[41].end 129.00659375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 129.12471875
transcript.pyannote[42].end 136.81971875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 132.51659375
transcript.pyannote[43].end 133.44471875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 133.57971875
transcript.pyannote[44].end 134.03534375
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 137.46096875
transcript.pyannote[45].end 140.54909375
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 141.10596875
transcript.pyannote[46].end 143.60346875
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 143.83971875
transcript.pyannote[47].end 145.96596875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 143.97471875
transcript.pyannote[48].end 144.59909375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 144.70034375
transcript.pyannote[49].end 150.01596875
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 150.18471875
transcript.pyannote[50].end 152.81721875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 153.88034375
transcript.pyannote[51].end 155.77034375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 155.97284375
transcript.pyannote[52].end 157.52534375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 157.93034375
transcript.pyannote[53].end 163.83659375
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 164.27534375
transcript.pyannote[54].end 166.75596875
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 167.16096875
transcript.pyannote[55].end 170.14784375
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 170.60346875
transcript.pyannote[56].end 173.62409375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 173.05034375
transcript.pyannote[57].end 174.16409375
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 173.96159375
transcript.pyannote[58].end 177.25221875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 178.43346875
transcript.pyannote[59].end 180.42471875
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 180.89721875
transcript.pyannote[60].end 182.75346875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 183.07409375
transcript.pyannote[61].end 187.12409375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 187.79909375
transcript.pyannote[62].end 188.76096875
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 190.29659375
transcript.pyannote[63].end 191.08971875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 192.54096875
transcript.pyannote[64].end 197.92409375
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 198.26159375
transcript.pyannote[65].end 204.97784375
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 205.65284375
transcript.pyannote[66].end 209.31471875
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 210.24284375
transcript.pyannote[67].end 211.18784375
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 211.55909375
transcript.pyannote[68].end 214.02284375
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 214.34346875
transcript.pyannote[69].end 216.28409375
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 216.65534375
transcript.pyannote[70].end 223.79346875
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 224.26596875
transcript.pyannote[71].end 227.50596875
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 228.09659375
transcript.pyannote[72].end 231.33659375
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 232.45034375
transcript.pyannote[73].end 234.64409375
transcript.pyannote[74].speaker SPEAKER_05
transcript.pyannote[74].start 235.11659375
transcript.pyannote[74].end 236.28096875
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 236.66909375
transcript.pyannote[75].end 239.09909375
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 239.52096875
transcript.pyannote[76].end 241.05659375
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 241.52909375
transcript.pyannote[77].end 243.75659375
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 244.36409375
transcript.pyannote[78].end 246.57471875
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 246.94596875
transcript.pyannote[79].end 248.70096875
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 249.59534375
transcript.pyannote[80].end 253.13909375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 253.47659375
transcript.pyannote[81].end 254.75909375
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 255.14721875
transcript.pyannote[82].end 257.98221875
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 258.69096875
transcript.pyannote[83].end 260.31096875
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 260.83409375
transcript.pyannote[84].end 261.69471875
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 262.36971875
transcript.pyannote[85].end 265.72784375
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 266.23409375
transcript.pyannote[86].end 268.64721875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 268.91721875
transcript.pyannote[87].end 277.70909375
transcript.pyannote[88].speaker SPEAKER_06
transcript.pyannote[88].start 278.45159375
transcript.pyannote[88].end 278.46846875
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 278.46846875
transcript.pyannote[89].end 283.27784375
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 283.51409375
transcript.pyannote[90].end 286.31534375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 286.65284375
transcript.pyannote[91].end 300.37221875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 301.14846875
transcript.pyannote[92].end 302.86971875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 302.98784375
transcript.pyannote[93].end 319.47471875
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 308.38784375
transcript.pyannote[94].end 309.67034375
transcript.pyannote[95].speaker SPEAKER_06
transcript.pyannote[95].start 315.45846875
transcript.pyannote[95].end 315.94784375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 319.50846875
transcript.pyannote[96].end 332.14784375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 324.50346875
transcript.pyannote[97].end 325.16159375
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 327.00096875
transcript.pyannote[98].end 330.88221875
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 331.30409375
transcript.pyannote[99].end 334.15596875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 332.77221875
transcript.pyannote[100].end 345.76596875
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 336.94034375
transcript.pyannote[101].end 338.07096875
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 338.89784375
transcript.pyannote[102].end 340.19721875
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 341.93534375
transcript.pyannote[103].end 359.77221875
transcript.pyannote[104].speaker SPEAKER_05
transcript.pyannote[104].start 360.59909375
transcript.pyannote[104].end 368.24346875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 368.44596875
transcript.pyannote[105].end 381.89534375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 374.53784375
transcript.pyannote[106].end 376.03971875
transcript.pyannote[107].speaker SPEAKER_06
transcript.pyannote[107].start 377.23784375
transcript.pyannote[107].end 377.25471875
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 377.25471875
transcript.pyannote[108].end 377.67659375
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 379.66784375
transcript.pyannote[109].end 379.97159375
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 381.01784375
transcript.pyannote[110].end 383.17784375
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 383.97096875
transcript.pyannote[111].end 385.65846875
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 386.50221875
transcript.pyannote[112].end 387.80159375
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 388.71284375
transcript.pyannote[113].end 390.80534375
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 391.78409375
transcript.pyannote[114].end 393.16784375
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 393.67409375
transcript.pyannote[115].end 394.19721875
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 394.41659375
transcript.pyannote[116].end 395.90159375
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 396.47534375
transcript.pyannote[117].end 398.36534375
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 398.53409375
transcript.pyannote[118].end 399.39471875
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 399.64784375
transcript.pyannote[119].end 401.58846875
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 402.04409375
transcript.pyannote[120].end 404.89596875
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 404.99721875
transcript.pyannote[121].end 407.51159375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 405.19971875
transcript.pyannote[122].end 405.25034375
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 407.81534375
transcript.pyannote[123].end 412.50659375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 412.86096875
transcript.pyannote[124].end 413.16471875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 413.41784375
transcript.pyannote[125].end 423.44159375
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 422.17596875
transcript.pyannote[126].end 423.57659375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 423.54284375
transcript.pyannote[127].end 424.35284375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 424.65659375
transcript.pyannote[128].end 425.87159375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 426.66471875
transcript.pyannote[129].end 432.30096875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 432.52034375
transcript.pyannote[130].end 440.02971875
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 438.83159375
transcript.pyannote[131].end 441.54846875
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 441.73409375
transcript.pyannote[132].end 442.89846875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 443.15159375
transcript.pyannote[133].end 444.80534375
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 445.10909375
transcript.pyannote[134].end 449.54721875
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 450.13784375
transcript.pyannote[135].end 456.43221875
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 456.61784375
transcript.pyannote[136].end 467.89034375
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 468.00846875
transcript.pyannote[137].end 472.24409375
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 472.48034375
transcript.pyannote[138].end 473.61096875
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 473.79659375
transcript.pyannote[139].end 477.17159375
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 477.39096875
transcript.pyannote[140].end 482.97659375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 483.85409375
transcript.pyannote[141].end 488.56221875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 489.33846875
transcript.pyannote[142].end 490.95846875
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 490.08096875
transcript.pyannote[143].end 490.94159375
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 490.95846875
transcript.pyannote[144].end 491.63346875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 491.75159375
transcript.pyannote[145].end 500.03721875
transcript.pyannote[146].speaker SPEAKER_05
transcript.pyannote[146].start 493.27034375
transcript.pyannote[146].end 494.06346875
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 499.19346875
transcript.pyannote[147].end 509.65596875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 509.65596875
transcript.pyannote[148].end 511.57971875
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 509.79096875
transcript.pyannote[149].end 510.24659375
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 511.57971875
transcript.pyannote[150].end 517.87409375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 518.43096875
transcript.pyannote[151].end 521.45159375
transcript.pyannote[152].speaker SPEAKER_05
transcript.pyannote[152].start 521.97471875
transcript.pyannote[152].end 535.72784375
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 536.35221875
transcript.pyannote[153].end 544.30034375
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 544.68846875
transcript.pyannote[154].end 548.50221875
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 549.09284375
transcript.pyannote[155].end 551.62409375
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 551.82659375
transcript.pyannote[156].end 552.85596875
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 553.31159375
transcript.pyannote[157].end 565.64721875
transcript.pyannote[158].speaker SPEAKER_05
transcript.pyannote[158].start 566.27159375
transcript.pyannote[158].end 569.66346875
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 570.05159375
transcript.pyannote[159].end 570.82784375
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 571.19909375
transcript.pyannote[160].end 572.04284375
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 572.17784375
transcript.pyannote[161].end 575.04659375
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 575.62034375
transcript.pyannote[162].end 582.35346875
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 582.82596875
transcript.pyannote[163].end 585.27284375
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 585.94784375
transcript.pyannote[164].end 589.20471875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 589.49159375
transcript.pyannote[165].end 591.24659375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 591.41534375
transcript.pyannote[166].end 608.05409375
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 608.12159375
transcript.pyannote[167].end 614.28096875
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 614.68596875
transcript.pyannote[168].end 616.52534375
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 616.76159375
transcript.pyannote[169].end 617.38596875
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 617.72346875
transcript.pyannote[170].end 618.75284375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 619.51221875
transcript.pyannote[171].end 636.91034375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 624.22034375
transcript.pyannote[172].end 624.84471875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 633.24846875
transcript.pyannote[173].end 633.67034375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 637.33221875
transcript.pyannote[174].end 644.79096875
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 645.65159375
transcript.pyannote[175].end 648.65534375
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 648.80721875
transcript.pyannote[176].end 654.59534375
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 654.61221875
transcript.pyannote[177].end 654.62909375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 654.62909375
transcript.pyannote[178].end 655.86096875
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 655.47284375
transcript.pyannote[179].end 659.32034375
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 660.38346875
transcript.pyannote[180].end 663.79221875
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 664.28159375
transcript.pyannote[181].end 665.49659375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 665.96909375
transcript.pyannote[182].end 666.94784375
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 667.92659375
transcript.pyannote[183].end 669.59721875
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 670.47471875
transcript.pyannote[184].end 674.96346875
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 675.73971875
transcript.pyannote[185].end 677.39346875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 677.56221875
transcript.pyannote[186].end 679.89096875
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 678.94596875
transcript.pyannote[187].end 679.41846875
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 679.77284375
transcript.pyannote[188].end 685.22346875
transcript.pyannote[189].speaker SPEAKER_06
transcript.pyannote[189].start 685.22346875
transcript.pyannote[189].end 685.24034375
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 685.64534375
transcript.pyannote[190].end 688.49721875
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 688.90221875
transcript.pyannote[191].end 689.89784375
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 690.42096875
transcript.pyannote[192].end 693.08721875
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 693.45846875
transcript.pyannote[193].end 696.09096875
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 697.01909375
transcript.pyannote[194].end 697.94721875
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 698.58846875
transcript.pyannote[195].end 700.02284375
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 701.03534375
transcript.pyannote[196].end 703.00971875
transcript.pyannote[197].speaker SPEAKER_05
transcript.pyannote[197].start 703.33034375
transcript.pyannote[197].end 705.03471875
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 705.64221875
transcript.pyannote[198].end 708.81471875
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 709.23659375
transcript.pyannote[199].end 710.24909375
transcript.pyannote[200].speaker SPEAKER_05
transcript.pyannote[200].start 710.87346875
transcript.pyannote[200].end 716.03721875
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 716.29034375
transcript.pyannote[201].end 717.03284375
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 717.08346875
transcript.pyannote[202].end 717.75846875
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 718.14659375
transcript.pyannote[203].end 721.38659375
transcript.pyannote[204].speaker SPEAKER_05
transcript.pyannote[204].start 721.75784375
transcript.pyannote[204].end 723.42846875
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 724.18784375
transcript.pyannote[205].end 725.90909375
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 726.31409375
transcript.pyannote[206].end 727.79909375
transcript.pyannote[207].speaker SPEAKER_05
transcript.pyannote[207].start 728.79471875
transcript.pyannote[207].end 731.79846875
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 731.98409375
transcript.pyannote[208].end 733.36784375
transcript.pyannote[209].speaker SPEAKER_05
transcript.pyannote[209].start 733.82346875
transcript.pyannote[209].end 735.40971875
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 736.00034375
transcript.pyannote[210].end 742.75034375
transcript.pyannote[211].speaker SPEAKER_05
transcript.pyannote[211].start 742.96971875
transcript.pyannote[211].end 748.85909375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 750.04034375
transcript.pyannote[212].end 759.10221875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 759.52409375
transcript.pyannote[213].end 760.78971875
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 759.72659375
transcript.pyannote[214].end 768.85596875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 761.59971875
transcript.pyannote[215].end 761.65034375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 763.57409375
transcript.pyannote[216].end 766.74659375
transcript.pyannote[217].speaker SPEAKER_06
transcript.pyannote[217].start 766.74659375
transcript.pyannote[217].end 766.76346875
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 769.37909375
transcript.pyannote[218].end 771.48846875
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 771.92721875
transcript.pyannote[219].end 773.09159375
transcript.pyannote[220].speaker SPEAKER_05
transcript.pyannote[220].start 773.86784375
transcript.pyannote[220].end 774.61034375
transcript.pyannote[221].speaker SPEAKER_05
transcript.pyannote[221].start 775.60596875
transcript.pyannote[221].end 776.36534375
transcript.pyannote[222].speaker SPEAKER_05
transcript.pyannote[222].start 777.09096875
transcript.pyannote[222].end 778.18784375
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 778.44096875
transcript.pyannote[223].end 779.77409375
transcript.pyannote[224].speaker SPEAKER_05
transcript.pyannote[224].start 780.07784375
transcript.pyannote[224].end 781.61346875
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 781.95096875
transcript.pyannote[225].end 782.79471875
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 783.09846875
transcript.pyannote[226].end 785.34284375
transcript.pyannote[227].speaker SPEAKER_05
transcript.pyannote[227].start 785.91659375
transcript.pyannote[227].end 787.04721875
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 787.55346875
transcript.pyannote[228].end 788.78534375
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 788.98784375
transcript.pyannote[229].end 791.02971875
transcript.pyannote[230].speaker SPEAKER_05
transcript.pyannote[230].start 791.63721875
transcript.pyannote[230].end 795.78846875
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 796.39596875
transcript.pyannote[231].end 797.69534375
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 798.26909375
transcript.pyannote[232].end 799.68659375
transcript.pyannote[233].speaker SPEAKER_05
transcript.pyannote[233].start 800.22659375
transcript.pyannote[233].end 801.27284375
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 801.77909375
transcript.pyannote[234].end 802.90971875
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 803.88846875
transcript.pyannote[235].end 808.02284375
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 808.51221875
transcript.pyannote[236].end 811.00971875
transcript.pyannote[237].speaker SPEAKER_05
transcript.pyannote[237].start 811.58346875
transcript.pyannote[237].end 814.75596875
transcript.pyannote[238].speaker SPEAKER_05
transcript.pyannote[238].start 815.26221875
transcript.pyannote[238].end 816.57846875
transcript.pyannote[239].speaker SPEAKER_05
transcript.pyannote[239].start 817.21971875
transcript.pyannote[239].end 817.94534375
transcript.pyannote[240].speaker SPEAKER_05
transcript.pyannote[240].start 818.29971875
transcript.pyannote[240].end 821.48909375
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 822.33284375
transcript.pyannote[241].end 823.21034375
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 823.76721875
transcript.pyannote[242].end 825.15096875
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 824.10471875
transcript.pyannote[243].end 830.82096875
transcript.pyannote[244].speaker SPEAKER_05
transcript.pyannote[244].start 830.88846875
transcript.pyannote[244].end 834.31409375
transcript.pyannote[245].speaker SPEAKER_05
transcript.pyannote[245].start 834.66846875
transcript.pyannote[245].end 836.94659375
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 837.26721875
transcript.pyannote[246].end 838.98846875
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 839.69721875
transcript.pyannote[247].end 841.53659375
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 842.24534375
transcript.pyannote[248].end 845.80596875
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 846.43034375
transcript.pyannote[249].end 848.84346875
transcript.pyannote[250].speaker SPEAKER_05
transcript.pyannote[250].start 849.18096875
transcript.pyannote[250].end 851.57721875
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 852.31971875
transcript.pyannote[251].end 852.92721875
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 853.61909375
transcript.pyannote[252].end 854.93534375
transcript.pyannote[253].speaker SPEAKER_05
transcript.pyannote[253].start 855.61034375
transcript.pyannote[253].end 858.15846875
transcript.pyannote[254].speaker SPEAKER_05
transcript.pyannote[254].start 858.51284375
transcript.pyannote[254].end 862.47846875
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 862.88346875
transcript.pyannote[255].end 867.52409375
transcript.pyannote[256].speaker SPEAKER_05
transcript.pyannote[256].start 867.87846875
transcript.pyannote[256].end 873.95346875
transcript.pyannote[257].speaker SPEAKER_05
transcript.pyannote[257].start 875.06721875
transcript.pyannote[257].end 880.14659375
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 880.46721875
transcript.pyannote[258].end 881.44596875
transcript.pyannote[259].speaker SPEAKER_05
transcript.pyannote[259].start 881.93534375
transcript.pyannote[259].end 884.11221875
transcript.pyannote[260].speaker SPEAKER_05
transcript.pyannote[260].start 884.56784375
transcript.pyannote[260].end 885.74909375
transcript.pyannote[261].speaker SPEAKER_05
transcript.pyannote[261].start 886.03596875
transcript.pyannote[261].end 887.16659375
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 887.40284375
transcript.pyannote[262].end 901.88159375
transcript.pyannote[263].speaker SPEAKER_05
transcript.pyannote[263].start 902.80971875
transcript.pyannote[263].end 906.45471875
transcript.pyannote[264].speaker SPEAKER_05
transcript.pyannote[264].start 906.77534375
transcript.pyannote[264].end 907.95659375
transcript.pyannote[265].speaker SPEAKER_05
transcript.pyannote[265].start 908.59784375
transcript.pyannote[265].end 920.96721875
transcript.pyannote[266].speaker SPEAKER_05
transcript.pyannote[266].start 921.23721875
transcript.pyannote[266].end 924.47721875
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 924.76409375
transcript.pyannote[267].end 927.58221875
transcript.pyannote[268].speaker SPEAKER_05
transcript.pyannote[268].start 927.91971875
transcript.pyannote[268].end 934.07909375
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 934.50096875
transcript.pyannote[269].end 935.80034375
transcript.pyannote[270].speaker SPEAKER_05
transcript.pyannote[270].start 936.15471875
transcript.pyannote[270].end 938.43284375
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 938.61846875
transcript.pyannote[271].end 942.73596875
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 943.66409375
transcript.pyannote[272].end 944.38971875
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 944.38971875
transcript.pyannote[273].end 944.45721875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 944.45721875
transcript.pyannote[274].end 944.82846875
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 944.52471875
transcript.pyannote[275].end 944.69346875
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 944.82846875
transcript.pyannote[276].end 949.82346875
transcript.pyannote[277].speaker SPEAKER_05
transcript.pyannote[277].start 945.14909375
transcript.pyannote[277].end 945.30096875
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 945.30096875
transcript.pyannote[278].end 945.41909375
transcript.pyannote[279].speaker SPEAKER_05
transcript.pyannote[279].start 949.85721875
transcript.pyannote[279].end 951.51096875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 951.34221875
transcript.pyannote[280].end 953.26596875
transcript.pyannote[281].speaker SPEAKER_05
transcript.pyannote[281].start 952.42221875
transcript.pyannote[281].end 953.83971875
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 954.05909375
transcript.pyannote[282].end 954.68346875
transcript.pyannote[283].speaker SPEAKER_05
transcript.pyannote[283].start 955.93221875
transcript.pyannote[283].end 957.56909375
transcript.pyannote[284].speaker SPEAKER_05
transcript.pyannote[284].start 958.10909375
transcript.pyannote[284].end 959.42534375
transcript.pyannote[285].speaker SPEAKER_05
transcript.pyannote[285].start 959.74596875
transcript.pyannote[285].end 960.87659375
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 961.21409375
transcript.pyannote[286].end 962.47971875
transcript.pyannote[287].speaker SPEAKER_05
transcript.pyannote[287].start 963.20534375
transcript.pyannote[287].end 966.02346875
transcript.pyannote[288].speaker SPEAKER_05
transcript.pyannote[288].start 966.31034375
transcript.pyannote[288].end 967.96409375
transcript.pyannote[289].speaker SPEAKER_05
transcript.pyannote[289].start 968.48721875
transcript.pyannote[289].end 972.58784375
transcript.pyannote[290].speaker SPEAKER_05
transcript.pyannote[290].start 973.26284375
transcript.pyannote[290].end 978.47721875
transcript.pyannote[291].speaker SPEAKER_05
transcript.pyannote[291].start 980.14784375
transcript.pyannote[291].end 980.87346875
transcript.pyannote[292].speaker SPEAKER_05
transcript.pyannote[292].start 981.58221875
transcript.pyannote[292].end 982.96596875
transcript.pyannote[293].speaker SPEAKER_05
transcript.pyannote[293].start 983.21909375
transcript.pyannote[293].end 984.29909375
transcript.pyannote[294].speaker SPEAKER_05
transcript.pyannote[294].start 984.90659375
transcript.pyannote[294].end 987.60659375
transcript.pyannote[295].speaker SPEAKER_05
transcript.pyannote[295].start 988.12971875
transcript.pyannote[295].end 988.75409375
transcript.pyannote[296].speaker SPEAKER_05
transcript.pyannote[296].start 990.37409375
transcript.pyannote[296].end 997.73159375
transcript.pyannote[297].speaker SPEAKER_05
transcript.pyannote[297].start 998.28846875
transcript.pyannote[297].end 999.35159375
transcript.pyannote[298].speaker SPEAKER_05
transcript.pyannote[298].start 999.70596875
transcript.pyannote[298].end 1000.21221875
transcript.pyannote[299].speaker SPEAKER_05
transcript.pyannote[299].start 1001.10659375
transcript.pyannote[299].end 1002.05159375
transcript.pyannote[300].speaker SPEAKER_05
transcript.pyannote[300].start 1002.32159375
transcript.pyannote[300].end 1002.86159375
transcript.pyannote[301].speaker SPEAKER_05
transcript.pyannote[301].start 1003.33409375
transcript.pyannote[301].end 1004.27909375
transcript.pyannote[302].speaker SPEAKER_05
transcript.pyannote[302].start 1004.88659375
transcript.pyannote[302].end 1007.78909375
transcript.pyannote[303].speaker SPEAKER_05
transcript.pyannote[303].start 1008.41346875
transcript.pyannote[303].end 1009.59471875
transcript.pyannote[304].speaker SPEAKER_05
transcript.pyannote[304].start 1009.93221875
transcript.pyannote[304].end 1011.02909375
transcript.pyannote[305].speaker SPEAKER_05
transcript.pyannote[305].start 1011.34971875
transcript.pyannote[305].end 1012.76721875
transcript.pyannote[306].speaker SPEAKER_05
transcript.pyannote[306].start 1013.22284375
transcript.pyannote[306].end 1019.39909375
transcript.pyannote[307].speaker SPEAKER_05
transcript.pyannote[307].start 1019.66909375
transcript.pyannote[307].end 1022.14971875
transcript.pyannote[308].speaker SPEAKER_05
transcript.pyannote[308].start 1022.45346875
transcript.pyannote[308].end 1025.40659375
transcript.pyannote[309].speaker SPEAKER_05
transcript.pyannote[309].start 1025.52471875
transcript.pyannote[309].end 1026.33471875
transcript.pyannote[310].speaker SPEAKER_05
transcript.pyannote[310].start 1026.84096875
transcript.pyannote[310].end 1028.78159375
transcript.pyannote[311].speaker SPEAKER_05
transcript.pyannote[311].start 1029.22034375
transcript.pyannote[311].end 1030.03034375
transcript.pyannote[312].speaker SPEAKER_05
transcript.pyannote[312].start 1030.33409375
transcript.pyannote[312].end 1031.76846875
transcript.pyannote[313].speaker SPEAKER_05
transcript.pyannote[313].start 1032.15659375
transcript.pyannote[313].end 1034.68784375
transcript.pyannote[314].speaker SPEAKER_05
transcript.pyannote[314].start 1034.97471875
transcript.pyannote[314].end 1039.26096875
transcript.pyannote[315].speaker SPEAKER_05
transcript.pyannote[315].start 1039.91909375
transcript.pyannote[315].end 1048.62659375
transcript.pyannote[316].speaker SPEAKER_05
transcript.pyannote[316].start 1048.81221875
transcript.pyannote[316].end 1051.29284375
transcript.pyannote[317].speaker SPEAKER_05
transcript.pyannote[317].start 1051.51221875
transcript.pyannote[317].end 1055.66346875
transcript.pyannote[318].speaker SPEAKER_05
transcript.pyannote[318].start 1056.23721875
transcript.pyannote[318].end 1060.77659375
transcript.pyannote[319].speaker SPEAKER_02
transcript.pyannote[319].start 1061.58659375
transcript.pyannote[319].end 1063.29096875
transcript.pyannote[320].speaker SPEAKER_02
transcript.pyannote[320].start 1063.47659375
transcript.pyannote[320].end 1069.60221875
transcript.pyannote[321].speaker SPEAKER_05
transcript.pyannote[321].start 1067.42534375
transcript.pyannote[321].end 1068.21846875
transcript.pyannote[322].speaker SPEAKER_05
transcript.pyannote[322].start 1068.89346875
transcript.pyannote[322].end 1069.04534375
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 1070.12534375
transcript.pyannote[323].end 1071.57659375
transcript.pyannote[324].speaker SPEAKER_05
transcript.pyannote[324].start 1071.52596875
transcript.pyannote[324].end 1074.81659375
transcript.pyannote[325].speaker SPEAKER_05
transcript.pyannote[325].start 1075.45784375
transcript.pyannote[325].end 1077.14534375
transcript.pyannote[326].speaker SPEAKER_05
transcript.pyannote[326].start 1077.56721875
transcript.pyannote[326].end 1080.77346875
transcript.pyannote[327].speaker SPEAKER_05
transcript.pyannote[327].start 1081.19534375
transcript.pyannote[327].end 1083.86159375
transcript.pyannote[328].speaker SPEAKER_05
transcript.pyannote[328].start 1084.33409375
transcript.pyannote[328].end 1085.66721875
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 1086.15659375
transcript.pyannote[329].end 1089.04221875
transcript.pyannote[330].speaker SPEAKER_05
transcript.pyannote[330].start 1089.54846875
transcript.pyannote[330].end 1093.17659375
transcript.pyannote[331].speaker SPEAKER_05
transcript.pyannote[331].start 1093.49721875
transcript.pyannote[331].end 1107.11534375
transcript.pyannote[332].speaker SPEAKER_05
transcript.pyannote[332].start 1107.57096875
transcript.pyannote[332].end 1117.03784375
transcript.pyannote[333].speaker SPEAKER_05
transcript.pyannote[333].start 1117.49346875
transcript.pyannote[333].end 1118.89409375
transcript.pyannote[334].speaker SPEAKER_05
transcript.pyannote[334].start 1119.95721875
transcript.pyannote[334].end 1121.77971875
transcript.pyannote[335].speaker SPEAKER_02
transcript.pyannote[335].start 1122.64034375
transcript.pyannote[335].end 1123.77096875
transcript.pyannote[336].speaker SPEAKER_05
transcript.pyannote[336].start 1123.77096875
transcript.pyannote[336].end 1132.91721875
transcript.pyannote[337].speaker SPEAKER_04
transcript.pyannote[337].start 1133.50784375
transcript.pyannote[337].end 1138.80659375
transcript.pyannote[338].speaker SPEAKER_05
transcript.pyannote[338].start 1138.73909375
transcript.pyannote[338].end 1151.07471875
transcript.pyannote[339].speaker SPEAKER_04
transcript.pyannote[339].start 1142.38409375
transcript.pyannote[339].end 1144.45971875
transcript.pyannote[340].speaker SPEAKER_06
transcript.pyannote[340].start 1144.45971875
transcript.pyannote[340].end 1144.51034375
transcript.pyannote[341].speaker SPEAKER_06
transcript.pyannote[341].start 1146.07971875
transcript.pyannote[341].end 1146.09659375
transcript.pyannote[342].speaker SPEAKER_02
transcript.pyannote[342].start 1146.09659375
transcript.pyannote[342].end 1146.36659375
transcript.pyannote[343].speaker SPEAKER_02
transcript.pyannote[343].start 1151.81721875
transcript.pyannote[343].end 1153.20096875
transcript.pyannote[344].speaker SPEAKER_02
transcript.pyannote[344].start 1153.47096875
transcript.pyannote[344].end 1157.01471875
transcript.pyannote[345].speaker SPEAKER_02
transcript.pyannote[345].start 1157.35221875
transcript.pyannote[345].end 1161.18284375
transcript.pyannote[346].speaker SPEAKER_05
transcript.pyannote[346].start 1160.55846875
transcript.pyannote[346].end 1161.23346875
transcript.pyannote[347].speaker SPEAKER_02
transcript.pyannote[347].start 1161.23346875
transcript.pyannote[347].end 1161.48659375
transcript.pyannote[348].speaker SPEAKER_05
transcript.pyannote[348].start 1161.48659375
transcript.pyannote[348].end 1161.52034375
transcript.pyannote[349].speaker SPEAKER_05
transcript.pyannote[349].start 1161.94221875
transcript.pyannote[349].end 1167.29159375
transcript.pyannote[350].speaker SPEAKER_05
transcript.pyannote[350].start 1167.64596875
transcript.pyannote[350].end 1171.64534375
transcript.pyannote[351].speaker SPEAKER_05
transcript.pyannote[351].start 1171.94909375
transcript.pyannote[351].end 1173.94034375
transcript.pyannote[352].speaker SPEAKER_05
transcript.pyannote[352].start 1174.46346875
transcript.pyannote[352].end 1176.43784375
transcript.pyannote[353].speaker SPEAKER_05
transcript.pyannote[353].start 1176.77534375
transcript.pyannote[353].end 1178.56409375
transcript.pyannote[354].speaker SPEAKER_05
transcript.pyannote[354].start 1178.85096875
transcript.pyannote[354].end 1178.88471875
transcript.pyannote[355].speaker SPEAKER_04
transcript.pyannote[355].start 1178.88471875
transcript.pyannote[355].end 1185.06096875
transcript.pyannote[356].speaker SPEAKER_05
transcript.pyannote[356].start 1179.34034375
transcript.pyannote[356].end 1179.81284375
transcript.pyannote[357].speaker SPEAKER_05
transcript.pyannote[357].start 1184.16659375
transcript.pyannote[357].end 1187.35596875
transcript.pyannote[358].speaker SPEAKER_04
transcript.pyannote[358].start 1185.80346875
transcript.pyannote[358].end 1187.98034375
transcript.pyannote[359].speaker SPEAKER_05
transcript.pyannote[359].start 1187.98034375
transcript.pyannote[359].end 1193.71784375
transcript.pyannote[360].speaker SPEAKER_04
transcript.pyannote[360].start 1189.38096875
transcript.pyannote[360].end 1192.19909375
transcript.pyannote[361].speaker SPEAKER_05
transcript.pyannote[361].start 1193.86971875
transcript.pyannote[361].end 1208.82096875
transcript.pyannote[362].speaker SPEAKER_05
transcript.pyannote[362].start 1209.19221875
transcript.pyannote[362].end 1214.89596875
transcript.pyannote[363].speaker SPEAKER_05
transcript.pyannote[363].start 1215.28409375
transcript.pyannote[363].end 1218.82784375
transcript.pyannote[364].speaker SPEAKER_05
transcript.pyannote[364].start 1219.67159375
transcript.pyannote[364].end 1221.94971875
transcript.pyannote[365].speaker SPEAKER_05
transcript.pyannote[365].start 1222.74284375
transcript.pyannote[365].end 1223.62034375
transcript.pyannote[366].speaker SPEAKER_05
transcript.pyannote[366].start 1224.29534375
transcript.pyannote[366].end 1225.42596875
transcript.pyannote[367].speaker SPEAKER_05
transcript.pyannote[367].start 1226.18534375
transcript.pyannote[367].end 1227.50159375
transcript.pyannote[368].speaker SPEAKER_05
transcript.pyannote[368].start 1229.59409375
transcript.pyannote[368].end 1231.63596875
transcript.pyannote[369].speaker SPEAKER_05
transcript.pyannote[369].start 1232.20971875
transcript.pyannote[369].end 1233.54284375
transcript.pyannote[370].speaker SPEAKER_05
transcript.pyannote[370].start 1234.18409375
transcript.pyannote[370].end 1236.24284375
transcript.pyannote[371].speaker SPEAKER_05
transcript.pyannote[371].start 1237.00221875
transcript.pyannote[371].end 1238.20034375
transcript.pyannote[372].speaker SPEAKER_05
transcript.pyannote[372].start 1238.75721875
transcript.pyannote[372].end 1243.17846875
transcript.pyannote[373].speaker SPEAKER_05
transcript.pyannote[373].start 1243.41471875
transcript.pyannote[373].end 1245.22034375
transcript.pyannote[374].speaker SPEAKER_05
transcript.pyannote[374].start 1245.76034375
transcript.pyannote[374].end 1248.00471875
transcript.pyannote[375].speaker SPEAKER_05
transcript.pyannote[375].start 1248.64596875
transcript.pyannote[375].end 1256.49284375
transcript.pyannote[376].speaker SPEAKER_05
transcript.pyannote[376].start 1256.62784375
transcript.pyannote[376].end 1258.23096875
transcript.pyannote[377].speaker SPEAKER_05
transcript.pyannote[377].start 1258.26471875
transcript.pyannote[377].end 1261.42034375
transcript.pyannote[378].speaker SPEAKER_05
transcript.pyannote[378].start 1261.62284375
transcript.pyannote[378].end 1263.64784375
transcript.pyannote[379].speaker SPEAKER_02
transcript.pyannote[379].start 1264.45784375
transcript.pyannote[379].end 1268.25471875
transcript.pyannote[380].speaker SPEAKER_02
transcript.pyannote[380].start 1268.54159375
transcript.pyannote[380].end 1269.75659375
transcript.pyannote[381].speaker SPEAKER_02
transcript.pyannote[381].start 1269.94221875
transcript.pyannote[381].end 1275.13971875
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 1275.47721875
transcript.pyannote[382].end 1278.22784375
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 1278.73409375
transcript.pyannote[383].end 1281.48471875
transcript.pyannote[384].speaker SPEAKER_05
transcript.pyannote[384].start 1282.00784375
transcript.pyannote[384].end 1287.17159375
transcript.pyannote[385].speaker SPEAKER_06
transcript.pyannote[385].start 1287.52596875
transcript.pyannote[385].end 1287.82971875
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 1287.76221875
transcript.pyannote[386].end 1289.44971875
transcript.pyannote[387].speaker SPEAKER_05
transcript.pyannote[387].start 1290.02346875
transcript.pyannote[387].end 1292.45346875
transcript.pyannote[388].speaker SPEAKER_05
transcript.pyannote[388].start 1293.31409375
transcript.pyannote[388].end 1297.43159375
transcript.pyannote[389].speaker SPEAKER_05
transcript.pyannote[389].start 1298.03909375
transcript.pyannote[389].end 1301.38034375
transcript.pyannote[390].speaker SPEAKER_05
transcript.pyannote[390].start 1301.58284375
transcript.pyannote[390].end 1302.57846875
transcript.pyannote[391].speaker SPEAKER_04
transcript.pyannote[391].start 1301.66721875
transcript.pyannote[391].end 1304.56971875
transcript.pyannote[392].speaker SPEAKER_05
transcript.pyannote[392].start 1303.38846875
transcript.pyannote[392].end 1304.28284375
transcript.pyannote[393].speaker SPEAKER_05
transcript.pyannote[393].start 1304.36721875
transcript.pyannote[393].end 1310.79659375
transcript.pyannote[394].speaker SPEAKER_06
transcript.pyannote[394].start 1310.89784375
transcript.pyannote[394].end 1311.08346875
transcript.pyannote[395].speaker SPEAKER_06
transcript.pyannote[395].start 1311.33659375
transcript.pyannote[395].end 1311.38721875
transcript.pyannote[396].speaker SPEAKER_06
transcript.pyannote[396].start 1311.47159375
transcript.pyannote[396].end 1311.70784375
transcript.pyannote[397].speaker SPEAKER_05
transcript.pyannote[397].start 1311.70784375
transcript.pyannote[397].end 1316.16284375
transcript.pyannote[398].speaker SPEAKER_05
transcript.pyannote[398].start 1316.55096875
transcript.pyannote[398].end 1319.28471875
transcript.pyannote[399].speaker SPEAKER_05
transcript.pyannote[399].start 1320.24659375
transcript.pyannote[399].end 1321.74846875
transcript.pyannote[400].speaker SPEAKER_05
transcript.pyannote[400].start 1322.38971875
transcript.pyannote[400].end 1324.88721875
transcript.pyannote[401].speaker SPEAKER_05
transcript.pyannote[401].start 1325.49471875
transcript.pyannote[401].end 1327.19909375
transcript.pyannote[402].speaker SPEAKER_05
transcript.pyannote[402].start 1327.70534375
transcript.pyannote[402].end 1332.83534375
transcript.pyannote[403].speaker SPEAKER_05
transcript.pyannote[403].start 1333.56096875
transcript.pyannote[403].end 1336.34534375
transcript.pyannote[404].speaker SPEAKER_05
transcript.pyannote[404].start 1336.78409375
transcript.pyannote[404].end 1341.03659375
transcript.pyannote[405].speaker SPEAKER_05
transcript.pyannote[405].start 1341.13784375
transcript.pyannote[405].end 1343.21346875
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 1343.75346875
transcript.pyannote[406].end 1345.55909375
transcript.pyannote[407].speaker SPEAKER_05
transcript.pyannote[407].start 1346.53784375
transcript.pyannote[407].end 1352.12346875
transcript.pyannote[408].speaker SPEAKER_05
transcript.pyannote[408].start 1352.68034375
transcript.pyannote[408].end 1356.13971875
transcript.pyannote[409].speaker SPEAKER_01
transcript.pyannote[409].start 1356.94971875
transcript.pyannote[409].end 1359.37971875
transcript.pyannote[410].speaker SPEAKER_01
transcript.pyannote[410].start 1359.56534375
transcript.pyannote[410].end 1360.89846875
transcript.pyannote[411].speaker SPEAKER_05
transcript.pyannote[411].start 1360.94909375
transcript.pyannote[411].end 1363.29471875
transcript.pyannote[412].speaker SPEAKER_05
transcript.pyannote[412].start 1364.74596875
transcript.pyannote[412].end 1365.38721875
transcript.pyannote[413].speaker SPEAKER_01
transcript.pyannote[413].start 1365.92721875
transcript.pyannote[413].end 1366.38284375
transcript.pyannote[414].speaker SPEAKER_05
transcript.pyannote[414].start 1366.77096875
transcript.pyannote[414].end 1367.32784375
transcript.pyannote[415].speaker SPEAKER_01
transcript.pyannote[415].start 1367.71596875
transcript.pyannote[415].end 1368.20534375
transcript.pyannote[416].speaker SPEAKER_05
transcript.pyannote[416].start 1368.69471875
transcript.pyannote[416].end 1370.02784375
transcript.pyannote[417].speaker SPEAKER_05
transcript.pyannote[417].start 1370.11221875
transcript.pyannote[417].end 1371.88409375
transcript.pyannote[418].speaker SPEAKER_05
transcript.pyannote[418].start 1372.06971875
transcript.pyannote[418].end 1373.36909375
transcript.pyannote[419].speaker SPEAKER_05
transcript.pyannote[419].start 1373.53784375
transcript.pyannote[419].end 1374.66846875
transcript.pyannote[420].speaker SPEAKER_05
transcript.pyannote[420].start 1375.36034375
transcript.pyannote[420].end 1379.05596875
transcript.pyannote[421].speaker SPEAKER_01
transcript.pyannote[421].start 1378.61721875
transcript.pyannote[421].end 1381.67159375
transcript.pyannote[422].speaker SPEAKER_05
transcript.pyannote[422].start 1380.22034375
transcript.pyannote[422].end 1386.59909375
transcript.pyannote[423].speaker SPEAKER_05
transcript.pyannote[423].start 1387.03784375
transcript.pyannote[423].end 1388.60721875
transcript.pyannote[424].speaker SPEAKER_05
transcript.pyannote[424].start 1389.21471875
transcript.pyannote[424].end 1390.93596875
transcript.pyannote[425].speaker SPEAKER_05
transcript.pyannote[425].start 1391.23971875
transcript.pyannote[425].end 1392.42096875
transcript.pyannote[426].speaker SPEAKER_05
transcript.pyannote[426].start 1393.06221875
transcript.pyannote[426].end 1397.01096875
transcript.pyannote[427].speaker SPEAKER_05
transcript.pyannote[427].start 1397.29784375
transcript.pyannote[427].end 1399.60971875
transcript.pyannote[428].speaker SPEAKER_05
transcript.pyannote[428].start 1401.02721875
transcript.pyannote[428].end 1406.34284375
transcript.pyannote[429].speaker SPEAKER_05
transcript.pyannote[429].start 1407.15284375
transcript.pyannote[429].end 1411.77659375
transcript.pyannote[430].speaker SPEAKER_04
transcript.pyannote[430].start 1411.77659375
transcript.pyannote[430].end 1415.37096875
transcript.pyannote[431].speaker SPEAKER_05
transcript.pyannote[431].start 1413.83534375
transcript.pyannote[431].end 1423.48784375
transcript.pyannote[432].speaker SPEAKER_05
transcript.pyannote[432].start 1424.26409375
transcript.pyannote[432].end 1424.80409375
transcript.pyannote[433].speaker SPEAKER_05
transcript.pyannote[433].start 1425.37784375
transcript.pyannote[433].end 1426.81221875
transcript.pyannote[434].speaker SPEAKER_05
transcript.pyannote[434].start 1427.26784375
transcript.pyannote[434].end 1428.70221875
transcript.pyannote[435].speaker SPEAKER_05
transcript.pyannote[435].start 1429.86659375
transcript.pyannote[435].end 1433.19096875
transcript.pyannote[436].speaker SPEAKER_05
transcript.pyannote[436].start 1433.41034375
transcript.pyannote[436].end 1436.14409375
transcript.pyannote[437].speaker SPEAKER_05
transcript.pyannote[437].start 1436.32971875
transcript.pyannote[437].end 1437.24096875
transcript.pyannote[438].speaker SPEAKER_05
transcript.pyannote[438].start 1437.78096875
transcript.pyannote[438].end 1439.33346875
transcript.pyannote[439].speaker SPEAKER_05
transcript.pyannote[439].start 1439.78909375
transcript.pyannote[439].end 1441.17284375
transcript.pyannote[440].speaker SPEAKER_05
transcript.pyannote[440].start 1441.69596875
transcript.pyannote[440].end 1451.16284375
transcript.pyannote[441].speaker SPEAKER_05
transcript.pyannote[441].start 1451.28096875
transcript.pyannote[441].end 1454.74034375
transcript.pyannote[442].speaker SPEAKER_01
transcript.pyannote[442].start 1456.07346875
transcript.pyannote[442].end 1456.96784375
transcript.pyannote[443].speaker SPEAKER_05
transcript.pyannote[443].start 1457.38971875
transcript.pyannote[443].end 1459.33034375
transcript.pyannote[444].speaker SPEAKER_05
transcript.pyannote[444].start 1460.25846875
transcript.pyannote[444].end 1462.63784375
transcript.pyannote[445].speaker SPEAKER_05
transcript.pyannote[445].start 1463.36346875
transcript.pyannote[445].end 1464.73034375
transcript.pyannote[446].speaker SPEAKER_05
transcript.pyannote[446].start 1464.81471875
transcript.pyannote[446].end 1465.97909375
transcript.pyannote[447].speaker SPEAKER_05
transcript.pyannote[447].start 1466.87346875
transcript.pyannote[447].end 1468.02096875
transcript.pyannote[448].speaker SPEAKER_05
transcript.pyannote[448].start 1468.56096875
transcript.pyannote[448].end 1469.06721875
transcript.pyannote[449].speaker SPEAKER_05
transcript.pyannote[449].start 1469.74221875
transcript.pyannote[449].end 1470.58596875
transcript.pyannote[450].speaker SPEAKER_05
transcript.pyannote[450].start 1471.17659375
transcript.pyannote[450].end 1472.23971875
transcript.pyannote[451].speaker SPEAKER_05
transcript.pyannote[451].start 1473.77534375
transcript.pyannote[451].end 1475.26034375
transcript.pyannote[452].speaker SPEAKER_05
transcript.pyannote[452].start 1475.71596875
transcript.pyannote[452].end 1476.93096875
transcript.pyannote[453].speaker SPEAKER_05
transcript.pyannote[453].start 1477.84221875
transcript.pyannote[453].end 1478.78721875
transcript.pyannote[454].speaker SPEAKER_05
transcript.pyannote[454].start 1479.59721875
transcript.pyannote[454].end 1480.64346875
transcript.pyannote[455].speaker SPEAKER_05
transcript.pyannote[455].start 1481.01471875
transcript.pyannote[455].end 1482.02721875
transcript.pyannote[456].speaker SPEAKER_05
transcript.pyannote[456].start 1482.56721875
transcript.pyannote[456].end 1483.41096875
transcript.pyannote[457].speaker SPEAKER_05
transcript.pyannote[457].start 1484.27159375
transcript.pyannote[457].end 1486.31346875
transcript.pyannote[458].speaker SPEAKER_05
transcript.pyannote[458].start 1486.73534375
transcript.pyannote[458].end 1489.09784375
transcript.pyannote[459].speaker SPEAKER_05
transcript.pyannote[459].start 1489.51971875
transcript.pyannote[459].end 1493.70471875
transcript.pyannote[460].speaker SPEAKER_05
transcript.pyannote[460].start 1493.92409375
transcript.pyannote[460].end 1495.91534375
transcript.pyannote[461].speaker SPEAKER_02
transcript.pyannote[461].start 1496.23596875
transcript.pyannote[461].end 1502.14221875
transcript.pyannote[462].speaker SPEAKER_02
transcript.pyannote[462].start 1502.46284375
transcript.pyannote[462].end 1508.80784375
transcript.pyannote[463].speaker SPEAKER_02
transcript.pyannote[463].start 1509.06096875
transcript.pyannote[463].end 1515.97971875
transcript.pyannote[464].speaker SPEAKER_05
transcript.pyannote[464].start 1515.54096875
transcript.pyannote[464].end 1515.77721875
transcript.pyannote[465].speaker SPEAKER_05
transcript.pyannote[465].start 1516.26659375
transcript.pyannote[465].end 1518.05534375
transcript.pyannote[466].speaker SPEAKER_05
transcript.pyannote[466].start 1518.78096875
transcript.pyannote[466].end 1520.13096875
transcript.pyannote[467].speaker SPEAKER_05
transcript.pyannote[467].start 1520.70471875
transcript.pyannote[467].end 1522.69596875
transcript.pyannote[468].speaker SPEAKER_05
transcript.pyannote[468].start 1523.28659375
transcript.pyannote[468].end 1524.65346875
transcript.pyannote[469].speaker SPEAKER_05
transcript.pyannote[469].start 1525.24409375
transcript.pyannote[469].end 1526.42534375
transcript.pyannote[470].speaker SPEAKER_02
transcript.pyannote[470].start 1526.62784375
transcript.pyannote[470].end 1526.77971875
transcript.pyannote[471].speaker SPEAKER_05
transcript.pyannote[471].start 1527.26909375
transcript.pyannote[471].end 1528.24784375
transcript.pyannote[472].speaker SPEAKER_05
transcript.pyannote[472].start 1528.82159375
transcript.pyannote[472].end 1530.74534375
transcript.pyannote[473].speaker SPEAKER_05
transcript.pyannote[473].start 1531.43721875
transcript.pyannote[473].end 1532.58471875
transcript.pyannote[474].speaker SPEAKER_05
transcript.pyannote[474].start 1533.07409375
transcript.pyannote[474].end 1534.67721875
transcript.pyannote[475].speaker SPEAKER_05
transcript.pyannote[475].start 1534.82909375
transcript.pyannote[475].end 1537.47846875
transcript.pyannote[476].speaker SPEAKER_02
transcript.pyannote[476].start 1537.00596875
transcript.pyannote[476].end 1538.08596875
transcript.pyannote[477].speaker SPEAKER_05
transcript.pyannote[477].start 1538.08596875
transcript.pyannote[477].end 1539.52034375
transcript.pyannote[478].speaker SPEAKER_02
transcript.pyannote[478].start 1538.92971875
transcript.pyannote[478].end 1539.62159375
transcript.pyannote[479].speaker SPEAKER_05
transcript.pyannote[479].start 1539.94221875
transcript.pyannote[479].end 1541.76471875
transcript.pyannote[480].speaker SPEAKER_05
transcript.pyannote[480].start 1542.30471875
transcript.pyannote[480].end 1545.74721875
transcript.pyannote[481].speaker SPEAKER_05
transcript.pyannote[481].start 1545.98346875
transcript.pyannote[481].end 1548.19409375
transcript.pyannote[482].speaker SPEAKER_05
transcript.pyannote[482].start 1548.51471875
transcript.pyannote[482].end 1549.89846875
transcript.pyannote[483].speaker SPEAKER_05
transcript.pyannote[483].start 1550.33721875
transcript.pyannote[483].end 1551.43409375
transcript.pyannote[484].speaker SPEAKER_05
transcript.pyannote[484].start 1551.78846875
transcript.pyannote[484].end 1553.15534375
transcript.pyannote[485].speaker SPEAKER_05
transcript.pyannote[485].start 1553.93159375
transcript.pyannote[485].end 1555.23096875
transcript.pyannote[486].speaker SPEAKER_05
transcript.pyannote[486].start 1556.07471875
transcript.pyannote[486].end 1559.09534375
transcript.pyannote[487].speaker SPEAKER_05
transcript.pyannote[487].start 1559.34846875
transcript.pyannote[487].end 1561.94721875
transcript.pyannote[488].speaker SPEAKER_05
transcript.pyannote[488].start 1562.62221875
transcript.pyannote[488].end 1566.13221875
transcript.pyannote[489].speaker SPEAKER_05
transcript.pyannote[489].start 1566.31784375
transcript.pyannote[489].end 1568.12346875
transcript.pyannote[490].speaker SPEAKER_05
transcript.pyannote[490].start 1568.25846875
transcript.pyannote[490].end 1571.16096875
transcript.pyannote[491].speaker SPEAKER_05
transcript.pyannote[491].start 1571.86971875
transcript.pyannote[491].end 1575.36284375
transcript.pyannote[492].speaker SPEAKER_05
transcript.pyannote[492].start 1576.37534375
transcript.pyannote[492].end 1585.82534375
transcript.pyannote[493].speaker SPEAKER_05
transcript.pyannote[493].start 1586.28096875
transcript.pyannote[493].end 1591.09034375
transcript.pyannote[494].speaker SPEAKER_02
transcript.pyannote[494].start 1591.96784375
transcript.pyannote[494].end 1596.76034375
transcript.pyannote[495].speaker SPEAKER_02
transcript.pyannote[495].start 1596.97971875
transcript.pyannote[495].end 1598.76846875
transcript.pyannote[496].speaker SPEAKER_02
transcript.pyannote[496].start 1598.98784375
transcript.pyannote[496].end 1600.33784375
transcript.pyannote[497].speaker SPEAKER_02
transcript.pyannote[497].start 1600.82721875
transcript.pyannote[497].end 1602.29534375
transcript.pyannote[498].speaker SPEAKER_02
transcript.pyannote[498].start 1602.51471875
transcript.pyannote[498].end 1604.37096875
transcript.pyannote[499].speaker SPEAKER_02
transcript.pyannote[499].start 1604.50596875
transcript.pyannote[499].end 1605.55221875
transcript.pyannote[500].speaker SPEAKER_05
transcript.pyannote[500].start 1605.55221875
transcript.pyannote[500].end 1606.07534375
transcript.pyannote[501].speaker SPEAKER_02
transcript.pyannote[501].start 1605.63659375
transcript.pyannote[501].end 1605.65346875
transcript.pyannote[502].speaker SPEAKER_02
transcript.pyannote[502].start 1605.75471875
transcript.pyannote[502].end 1606.02471875
transcript.pyannote[503].speaker SPEAKER_02
transcript.pyannote[503].start 1606.07534375
transcript.pyannote[503].end 1609.07909375
transcript.pyannote[504].speaker SPEAKER_05
transcript.pyannote[504].start 1606.53096875
transcript.pyannote[504].end 1610.09159375
transcript.pyannote[505].speaker SPEAKER_02
transcript.pyannote[505].start 1610.47971875
transcript.pyannote[505].end 1611.03659375
transcript.pyannote[506].speaker SPEAKER_05
transcript.pyannote[506].start 1611.03659375
transcript.pyannote[506].end 1612.15034375
transcript.pyannote[507].speaker SPEAKER_02
transcript.pyannote[507].start 1611.07034375
transcript.pyannote[507].end 1611.15471875
transcript.pyannote[508].speaker SPEAKER_02
transcript.pyannote[508].start 1611.22221875
transcript.pyannote[508].end 1616.03159375
transcript.pyannote[509].speaker SPEAKER_02
transcript.pyannote[509].start 1616.23409375
transcript.pyannote[509].end 1616.25096875
transcript.pyannote[510].speaker SPEAKER_05
transcript.pyannote[510].start 1616.25096875
transcript.pyannote[510].end 1619.77784375
transcript.pyannote[511].speaker SPEAKER_02
transcript.pyannote[511].start 1616.35221875
transcript.pyannote[511].end 1617.33096875
transcript.pyannote[512].speaker SPEAKER_02
transcript.pyannote[512].start 1619.77784375
transcript.pyannote[512].end 1624.06409375
transcript.pyannote[513].speaker SPEAKER_05
transcript.pyannote[513].start 1621.76909375
transcript.pyannote[513].end 1629.54846875
transcript.pyannote[514].speaker SPEAKER_01
transcript.pyannote[514].start 1630.47659375
transcript.pyannote[514].end 1632.26534375
transcript.pyannote[515].speaker SPEAKER_05
transcript.pyannote[515].start 1632.02909375
transcript.pyannote[515].end 1632.85596875
transcript.pyannote[516].speaker SPEAKER_01
transcript.pyannote[516].start 1634.17221875
transcript.pyannote[516].end 1635.31971875
transcript.pyannote[517].speaker SPEAKER_05
transcript.pyannote[517].start 1635.69096875
transcript.pyannote[517].end 1636.46721875
transcript.pyannote[518].speaker SPEAKER_01
transcript.pyannote[518].start 1637.05784375
transcript.pyannote[518].end 1638.00284375
transcript.pyannote[519].speaker SPEAKER_05
transcript.pyannote[519].start 1638.00284375
transcript.pyannote[519].end 1639.74096875
transcript.pyannote[520].speaker SPEAKER_05
transcript.pyannote[520].start 1640.29784375
transcript.pyannote[520].end 1641.24284375
transcript.pyannote[521].speaker SPEAKER_01
transcript.pyannote[521].start 1640.66909375
transcript.pyannote[521].end 1643.03159375
transcript.pyannote[522].speaker SPEAKER_05
transcript.pyannote[522].start 1642.87971875
transcript.pyannote[522].end 1648.78596875
transcript.pyannote[523].speaker SPEAKER_05
transcript.pyannote[523].start 1649.24159375
transcript.pyannote[523].end 1656.95346875
transcript.pyannote[524].speaker SPEAKER_05
transcript.pyannote[524].start 1657.44284375
transcript.pyannote[524].end 1660.07534375
transcript.pyannote[525].speaker SPEAKER_05
transcript.pyannote[525].start 1660.19346875
transcript.pyannote[525].end 1662.35346875
transcript.pyannote[526].speaker SPEAKER_05
transcript.pyannote[526].start 1663.24784375
transcript.pyannote[526].end 1665.23909375
transcript.pyannote[527].speaker SPEAKER_05
transcript.pyannote[527].start 1666.30221875
transcript.pyannote[527].end 1669.44096875
transcript.pyannote[528].speaker SPEAKER_05
transcript.pyannote[528].start 1669.62659375
transcript.pyannote[528].end 1680.32534375
transcript.pyannote[529].speaker SPEAKER_05
transcript.pyannote[529].start 1680.34221875
transcript.pyannote[529].end 1682.51909375
transcript.pyannote[530].speaker SPEAKER_05
transcript.pyannote[530].start 1683.02534375
transcript.pyannote[530].end 1685.69159375
transcript.pyannote[531].speaker SPEAKER_05
transcript.pyannote[531].start 1685.96159375
transcript.pyannote[531].end 1689.01596875
transcript.pyannote[532].speaker SPEAKER_05
transcript.pyannote[532].start 1689.60659375
transcript.pyannote[532].end 1691.39534375
transcript.pyannote[533].speaker SPEAKER_05
transcript.pyannote[533].start 1691.66534375
transcript.pyannote[533].end 1695.49596875
transcript.pyannote[534].speaker SPEAKER_05
transcript.pyannote[534].start 1696.01909375
transcript.pyannote[534].end 1702.56659375
transcript.pyannote[535].speaker SPEAKER_05
transcript.pyannote[535].start 1703.10659375
transcript.pyannote[535].end 1704.70971875
transcript.pyannote[536].speaker SPEAKER_05
transcript.pyannote[536].start 1705.18221875
transcript.pyannote[536].end 1709.70471875
transcript.pyannote[537].speaker SPEAKER_05
transcript.pyannote[537].start 1709.77221875
transcript.pyannote[537].end 1717.45034375
transcript.pyannote[538].speaker SPEAKER_05
transcript.pyannote[538].start 1717.60221875
transcript.pyannote[538].end 1718.37846875
transcript.pyannote[539].speaker SPEAKER_05
transcript.pyannote[539].start 1718.86784375
transcript.pyannote[539].end 1720.82534375
transcript.pyannote[540].speaker SPEAKER_05
transcript.pyannote[540].start 1721.23034375
transcript.pyannote[540].end 1723.84596875
transcript.pyannote[541].speaker SPEAKER_05
transcript.pyannote[541].start 1724.30159375
transcript.pyannote[541].end 1726.81596875
transcript.pyannote[542].speaker SPEAKER_05
transcript.pyannote[542].start 1727.28846875
transcript.pyannote[542].end 1730.05596875
transcript.pyannote[543].speaker SPEAKER_05
transcript.pyannote[543].start 1730.49471875
transcript.pyannote[543].end 1734.73034375
transcript.pyannote[544].speaker SPEAKER_05
transcript.pyannote[544].start 1735.25346875
transcript.pyannote[544].end 1747.79159375
transcript.pyannote[545].speaker SPEAKER_05
transcript.pyannote[545].start 1748.66909375
transcript.pyannote[545].end 1749.07409375
transcript.pyannote[546].speaker SPEAKER_05
transcript.pyannote[546].start 1749.29346875
transcript.pyannote[546].end 1749.91784375
transcript.pyannote[547].speaker SPEAKER_00
transcript.pyannote[547].start 1751.52096875
transcript.pyannote[547].end 1753.71471875
transcript.pyannote[548].speaker SPEAKER_02
transcript.pyannote[548].start 1752.33096875
transcript.pyannote[548].end 1752.41534375
transcript.pyannote[549].speaker SPEAKER_05
transcript.pyannote[549].start 1752.41534375
transcript.pyannote[549].end 1753.02284375
transcript.pyannote[550].speaker SPEAKER_02
transcript.pyannote[550].start 1753.02284375
transcript.pyannote[550].end 1753.32659375
transcript.pyannote[551].speaker SPEAKER_00
transcript.pyannote[551].start 1754.20409375
transcript.pyannote[551].end 1764.05909375
transcript.pyannote[552].speaker SPEAKER_02
transcript.pyannote[552].start 1760.49846875
transcript.pyannote[552].end 1760.51534375
transcript.pyannote[553].speaker SPEAKER_05
transcript.pyannote[553].start 1760.51534375
transcript.pyannote[553].end 1761.27471875
transcript.pyannote[554].speaker SPEAKER_05
transcript.pyannote[554].start 1762.65846875
transcript.pyannote[554].end 1778.31846875
transcript.pyannote[555].speaker SPEAKER_00
transcript.pyannote[555].start 1770.15096875
transcript.pyannote[555].end 1771.12971875
transcript.pyannote[556].speaker SPEAKER_00
transcript.pyannote[556].start 1771.26471875
transcript.pyannote[556].end 1771.75409375
transcript.pyannote[557].speaker SPEAKER_06
transcript.pyannote[557].start 1771.75409375
transcript.pyannote[557].end 1771.80471875
transcript.pyannote[558].speaker SPEAKER_05
transcript.pyannote[558].start 1778.40284375
transcript.pyannote[558].end 1780.96784375
transcript.pyannote[559].speaker SPEAKER_00
transcript.pyannote[559].start 1779.28034375
transcript.pyannote[559].end 1779.34784375
transcript.pyannote[560].speaker SPEAKER_00
transcript.pyannote[560].start 1779.36471875
transcript.pyannote[560].end 1797.48846875
transcript.pyannote[561].speaker SPEAKER_05
transcript.pyannote[561].start 1781.65971875
transcript.pyannote[561].end 1782.04784375
transcript.pyannote[562].speaker SPEAKER_05
transcript.pyannote[562].start 1787.16096875
transcript.pyannote[562].end 1787.56596875
transcript.pyannote[563].speaker SPEAKER_01
transcript.pyannote[563].start 1787.56596875
transcript.pyannote[563].end 1787.65034375
transcript.pyannote[564].speaker SPEAKER_05
transcript.pyannote[564].start 1797.48846875
transcript.pyannote[564].end 1797.77534375
transcript.pyannote[565].speaker SPEAKER_00
transcript.pyannote[565].start 1797.77534375
transcript.pyannote[565].end 1801.74096875
transcript.pyannote[566].speaker SPEAKER_05
transcript.pyannote[566].start 1799.80034375
transcript.pyannote[566].end 1804.42409375
transcript.pyannote[567].speaker SPEAKER_00
transcript.pyannote[567].start 1802.95596875
transcript.pyannote[567].end 1805.20034375
transcript.pyannote[568].speaker SPEAKER_00
transcript.pyannote[568].start 1805.40284375
transcript.pyannote[568].end 1817.43471875
transcript.pyannote[569].speaker SPEAKER_05
transcript.pyannote[569].start 1818.75096875
transcript.pyannote[569].end 1825.29846875
transcript.pyannote[570].speaker SPEAKER_02
transcript.pyannote[570].start 1820.79284375
transcript.pyannote[570].end 1820.80971875
transcript.pyannote[571].speaker SPEAKER_06
transcript.pyannote[571].start 1820.80971875
transcript.pyannote[571].end 1822.07534375
transcript.pyannote[572].speaker SPEAKER_02
transcript.pyannote[572].start 1822.07534375
transcript.pyannote[572].end 1822.14284375
transcript.pyannote[573].speaker SPEAKER_00
transcript.pyannote[573].start 1822.66596875
transcript.pyannote[573].end 1822.83471875
transcript.pyannote[574].speaker SPEAKER_06
transcript.pyannote[574].start 1822.83471875
transcript.pyannote[574].end 1823.02034375
transcript.pyannote[575].speaker SPEAKER_02
transcript.pyannote[575].start 1823.02034375
transcript.pyannote[575].end 1823.12159375
transcript.pyannote[576].speaker SPEAKER_05
transcript.pyannote[576].start 1825.92284375
transcript.pyannote[576].end 1827.94784375
transcript.pyannote[577].speaker SPEAKER_05
transcript.pyannote[577].start 1828.40346875
transcript.pyannote[577].end 1836.16596875
transcript.pyannote[578].speaker SPEAKER_06
transcript.pyannote[578].start 1830.27659375
transcript.pyannote[578].end 1830.91784375
transcript.pyannote[579].speaker SPEAKER_05
transcript.pyannote[579].start 1836.30096875
transcript.pyannote[579].end 1840.73909375
transcript.pyannote[580].speaker SPEAKER_05
transcript.pyannote[580].start 1840.90784375
transcript.pyannote[580].end 1844.26596875
transcript.pyannote[581].speaker SPEAKER_02
transcript.pyannote[581].start 1840.94159375
transcript.pyannote[581].end 1841.02596875
transcript.pyannote[582].speaker SPEAKER_04
transcript.pyannote[582].start 1841.02596875
transcript.pyannote[582].end 1841.78534375
transcript.pyannote[583].speaker SPEAKER_02
transcript.pyannote[583].start 1841.78534375
transcript.pyannote[583].end 1841.80221875
transcript.pyannote[584].speaker SPEAKER_05
transcript.pyannote[584].start 1844.40096875
transcript.pyannote[584].end 1845.85221875
transcript.pyannote[585].speaker SPEAKER_05
transcript.pyannote[585].start 1848.29909375
transcript.pyannote[585].end 1848.31596875
transcript.pyannote[586].speaker SPEAKER_04
transcript.pyannote[586].start 1848.31596875
transcript.pyannote[586].end 1848.56909375
transcript.pyannote[587].speaker SPEAKER_03
transcript.pyannote[587].start 1868.02596875
transcript.pyannote[587].end 1869.15659375
transcript.pyannote[588].speaker SPEAKER_06
transcript.pyannote[588].start 1869.15659375
transcript.pyannote[588].end 1869.32534375
transcript.pyannote[589].speaker SPEAKER_03
transcript.pyannote[589].start 1870.11846875
transcript.pyannote[589].end 1870.20284375
transcript.pyannote[590].speaker SPEAKER_03
transcript.pyannote[590].start 1870.25346875
transcript.pyannote[590].end 1870.33784375
transcript.pyannote[591].speaker SPEAKER_03
transcript.pyannote[591].start 1870.55721875
transcript.pyannote[591].end 1870.87784375
transcript.pyannote[592].speaker SPEAKER_06
transcript.pyannote[592].start 1870.87784375
transcript.pyannote[592].end 1872.81846875
transcript.pyannote[593].speaker SPEAKER_06
transcript.pyannote[593].start 1874.18534375
transcript.pyannote[593].end 1874.21909375
transcript.pyannote[594].speaker SPEAKER_03
transcript.pyannote[594].start 1874.53971875
transcript.pyannote[594].end 1874.57346875
transcript.pyannote[595].speaker SPEAKER_04
transcript.pyannote[595].start 1879.46721875
transcript.pyannote[595].end 1881.40784375
transcript.whisperx[0].start 12.363
transcript.whisperx[0].end 35.668
transcript.whisperx[0].text 謝謝主席 麻煩有請行政院卓院長請卓院長備詢卓院長 您知不知道目前中選會有幾位委員
transcript.whisperx[1].start 37.062
transcript.whisperx[1].end 45.932
transcript.whisperx[1].text 目前中選會的委員都還在但是有幾位已經任期已經屆滿會到11月3號會屆滿有幾位任期會屆滿我們還要補六位
transcript.whisperx[2].start 52.216
transcript.whisperx[2].end 75.647
transcript.whisperx[2].text 還要補六位嘛目前中選會有十位委員六位在11月3號他們任期會屆滿您知不知道依法行政院什麼時候應該把提名單送到立法院來跟委員跟大院也致歉這個應該在任期前三個月我們要送到任期前三個月所以應該8月3號就要提來嘛是對吧是
transcript.whisperx[3].start 76.243
transcript.whisperx[3].end 99.889
transcript.whisperx[3].text 那到目前為止都沒有提來我們一直在到目前為止行政院我們有一直在積極準備提名期限的事情是中選會組織法與無誤嗎我們一直在積極的勿設也敦請這個相關的社會公正人士但是考慮到很多的現狀行政院當然啦有各式各樣的行政程序要進行我們理解我們也尊重
transcript.whisperx[4].start 100.609
transcript.whisperx[4].end 112.227
transcript.whisperx[4].text 但現在全國人民很困惑的一件事情是說依照中選會組織法的規定你們在8月3號以前就要把提名單送到立法院來但是現在已經10月了
transcript.whisperx[5].start 113.827
transcript.whisperx[5].end 140.246
transcript.whisperx[5].text 明顯的違反了中選會的組織法我再次跟委員跟大院致歉這個我們因為考慮各方面的意思沒有關係啦我們會努力在這個月你明確的知道你明確的知道說你違反中選會組織法有跟社會跟本院致歉本院致歉就好希望被提名的名單能夠趕快送過來因為連中選會的主委李靖永他都講得很清楚啦他很擔心啦他很擔心
transcript.whisperx[6].start 141.307
transcript.whisperx[6].end 157.25
transcript.whisperx[6].text 會影響到明年的選務 我們不希望這樣的事情啊 能夠再發生我們會盡快作業 那麼也希望大院能夠緊速的來安排相當的時間院長你說會盡快作業 大概什麼時候會提來人選我希望這個月 月中以後能夠提出來
transcript.whisperx[7].start 157.967
transcript.whisperx[7].end 186.93
transcript.whisperx[7].text 我提醒一下院長之前NCC委員提名單的事情你已經在立法院跳票過了我希望這件事情這次中選會委員你們已經違法沒有在期限之前提出來那你現在承諾的事情這次不要再跳票第二件事情也是整個社會很關注的事情這把法庭宣告或者是說實質上面有人說實質廢止有人說限縮死刑的宣告
transcript.whisperx[8].start 188.024
transcript.whisperx[8].end 209.15
transcript.whisperx[8].text 那個時候針對死刑當在實務上面成為一個很難發生的選項以後當然有很多委員在辯論我們的憲法法庭是不是實質廢止了我現在關心的不是那個層次的問題大家關心的事情是說在去年9月的時候法務部
transcript.whisperx[9].start 210.247
transcript.whisperx[9].end 230.941
transcript.whisperx[9].text 很明確的說會盡快把無期徒刑不得假釋的送到本院來審議在你旁邊的正部長我相信部長在委員會裡面被我追問這個問題也問了好幾次那部長有的時候是無奈有的時候是動怒但是從部長的角度來講我可以理解他的心情
transcript.whisperx[10].start 232.503
transcript.whisperx[10].end 248.375
transcript.whisperx[10].text 他跟我說他們已經提了提到行政院了在行政院院會裡面做討論我兩次一次是在5月19號的時候他說他會跟院長轉告因為我說社會都很關心
transcript.whisperx[11].start 249.639
transcript.whisperx[11].end 277.304
transcript.whisperx[11].text 然後我等到7月30號的時候提醒了第二次提醒了第二次部長還是說行政院還在審議現在整個社會很困惑因為去年這個判決出來了以後當然引發社會軒然大破但是更多人民關心的事情是說那你如果要跟這個憲判制相配合在立法上面無期徒刑不得假釋的法案請問行政院到底還要拖多久什麼時候會送來
transcript.whisperx[12].start 278.533
transcript.whisperx[12].end 299.969
transcript.whisperx[12].text 因為這個是部長我在委員會已經請部長回答過兩次了那部長每次回答我說法務部已經把法案送到立法院沒有 送到行政院那在行政院審查當中我每次在委員會問部長部長的答案都一樣說要等行政院院會我沒有辦法我只有藉由總執行的時候來請教院長
transcript.whisperx[13].start 301.429
transcript.whisperx[13].end 321.119
transcript.whisperx[13].text 跟委員報告他那個五起徒刑不得假釋那部分法案的確法務部有送到行政院但是因為委員對這個提案是非常有興趣的關心很多事實上跟原來比我們法務部提給行政院的一個法案
transcript.whisperx[14].start 322.159
transcript.whisperx[14].end 346.076
transcript.whisperx[14].text 更多的一些的建議譬如說刑法286條沒有關係我今天其實只要一個答案還需要多久不好意思喔請針對問題回答還需要多久那我想這部分行政院還在針對法院還在研議嘛還需要研議多久我了解啦我了解人民從去年就開始等嘛
transcript.whisperx[15].start 346.556
transcript.whisperx[15].end 359.373
transcript.whisperx[15].text 等到現在你們去年九月宣示到現在已經超過一年了嘛剛剛部長講很多理由我在委員會都聽過了今天我只要一個答案啦第一個行政院什麼時候會把修正的版本送到立法院來
transcript.whisperx[16].start 360.623
transcript.whisperx[16].end 387.42
transcript.whisperx[16].text 今天可不可以給個時間還是說因為這件事情很重要我們要持續的研議要研議到什麼時候其實院長也不知道好 報告委員這個法制上的修改尤其是這個事情牽扯到社會曾經有討論過的非是與否那現在已經不是討論那個事情了是那個無期徒刑的這個部分因為跟我國現在的重要我提醒一下院長 去年去年跟社會宣告社會進促提出來
transcript.whisperx[17].start 388.772
transcript.whisperx[17].end 411.929
transcript.whisperx[17].text 希望在去年年底以前提出來是行政部門的官員是你們開給全民的支票我們已經在委員會一等再等一等再等我們希望秉持最大的善意就像院長所講的這是一個重大的說法我當然希望看到行政院的版本但是人民同時也在給立法委員壓力請問要等到什麼時候
transcript.whisperx[18].start 413.736
transcript.whisperx[18].end 425.615
transcript.whisperx[18].text 這個是一個中華民國刑法重大的改革所以我們希望能夠更周延更廣泛的了解我也希望現在我們在負責審查的政務委員是不是也能夠跟
transcript.whisperx[19].start 427.107
transcript.whisperx[19].end 449.042
transcript.whisperx[19].text 跟黃委員來做溝通是不是外界還有一些問題跟我們現在所想像的有不同政務委員是林明星兄政委我希望他請林政委能夠跟黃委員來溝通隨時要找我溝通我這樣講啦明星兄台大法律系的學長隨時要找我溝通沒有問題但是這不是私人的問題
transcript.whisperx[20].start 450.383
transcript.whisperx[20].end 476.895
transcript.whisperx[20].text 這個是立法院跟行政院的問題這個是政府跟人民的問題你看我今天在這邊整整花了大概四分鐘的時間其實我只要一個簡單的答案我希望院長可以跟全台灣關心這件事情的人民說行政院還需要多少時間這個問題應該沒有很困難如果我去年就問你這個問題或許太苛刻但是從你們對社會宣示到現在已經超過一年
transcript.whisperx[21].start 477.555
transcript.whisperx[21].end 488.356
transcript.whisperx[21].text 超過一年以後再問這個問題說還要研議多久還要拖多久我想應該不過分吧因為我現在不曉得林明新政委審查的程序遇到的
transcript.whisperx[22].start 489.623
transcript.whisperx[22].end 517.619
transcript.whisperx[22].text 真節點在哪裡所以林新兄要上來嗎他又不能上來答詢他不能上來上來不能答詢那我請林平新政委跟委員溝通跟朝委各黨溝通盡快我們在沒有關係啦我相信全社會都聽到了院長的答覆啦那能接受不能夠接受大家覺得理由充不充分每一個公民心中都有一把尺我們來努力盡快把他送出來過去這段時間針對我們的水庫有光電板的事情引發社會軒然大破啦
transcript.whisperx[23].start 518.579
transcript.whisperx[23].end 535.496
transcript.whisperx[23].text 一開始的時候看到的是烏山頭水庫後來有委員去看到原來鳳山水庫也有但是我稍微整理了一下 爬梳了一下就公開資訊我可以看得到的除了烏山頭水庫 鳳山水庫以外還有鹽水壁 還有金湖 還有內浦子 還有阿公店
transcript.whisperx[24].start 536.337
transcript.whisperx[24].end 565.519
transcript.whisperx[24].text 現在台灣實際上面的狀況是山野光電板 海野光電板連水庫裡面全部都有光電板針對這件事情引發了人民居民跟一般台灣的民眾用水大家的疑慮那個時候民進黨在你們的臉書上面還是在你們網站上面有個辟謠專區辟謠專區他說烏山頭水庫太陽能板真相在這裡第一個太陽能板沒有堵
transcript.whisperx[25].start 566.32
transcript.whisperx[25].end 581.731
transcript.whisperx[25].text 第二個不會造成飲用水的汙染我昨天前天其實有機會的時候現在站在您旁邊的兩位一位環境部部長一位經濟部部長其實我都公開請教他們這個問題第一個問題是說針對人民
transcript.whisperx[26].start 586.114
transcript.whisperx[26].end 614.05
transcript.whisperx[26].text 對於在水庫設光電板的這件事情有非常高的疑慮但是民進黨卻是用你們官方的網站告訴全台灣人民說說這個可能會有疑慮有安全疑慮的大概是謠言所以你們要闢謠現在我不講黨的事情在立法院裡面我們講的是政府的態度就政府的態度就在水庫設光電板的這件事情
transcript.whisperx[27].start 614.73
transcript.whisperx[27].end 618.605
transcript.whisperx[27].text 院長您會繼續推進還是會下令停止
transcript.whisperx[28].start 620.191
transcript.whisperx[28].end 644.609
transcript.whisperx[28].text 三點跟委員報告第一個 發展多元綠能還是政府重大的國家經營第一個第二個 我們對於現在已經產生的這些光電板在水庫裡面我們長期監測水質是沒有影響的第三個 未來處理這些光電板以及水質的問題如果是我們能力未能所及我們就不去開發除非我們對技術的掌握安全的監測能夠完全在我們掌控之中
transcript.whisperx[29].start 645.697
transcript.whisperx[29].end 674.627
transcript.whisperx[29].text 我這樣子具體的問好了啦就是說到底安全不安全這環境會不會造成影響你一定要有個程序進行評估嘛對啊 那到日前為止我到院長稍微看一下之前烏山頭水庫設置光電板要不要還平我問過彭部長彭部長說修法前不需要還平但是現在你們修改了行政命令了以後還是不需要還平嗎
transcript.whisperx[30].start 675.999
transcript.whisperx[30].end 700.021
transcript.whisperx[30].text 現在還是不需要環評嗎我們現在正在規劃當中上次我在月盤委員會質詢您的時候你應該完全可以聽得懂我的point因為過去所造成的現象是什麼都不用環評所以我們看到在山坡地保育地也變成光電專區全部都光電板在海上也有現在連水庫都有了
transcript.whisperx[31].start 701.055
transcript.whisperx[31].end 727.536
transcript.whisperx[31].text 現在在水庫都有的情況之下環境部告訴我的是說那要不要環評這件事情他們還在評估當中但問題是什麼就在你們在討論在研議的過程當中要設光電板的業者是一步一步一步一步在推進我為什麼說一步一步在推進我絕對不是為人聳聽我那天就跟彭部長講了在水庫 烏山頭水庫現在要進行第二期
transcript.whisperx[32].start 728.82
transcript.whisperx[32].end 748.67
transcript.whisperx[32].text 夏天的時候業者開法說會的時候他已經公開表明了說他現在要推進第二期現在在不用環評的情況之下我們法規上面有什麼障礙去阻止業者繼續推進第二期還是現在行政院的政策立場是說他們說要推進第二期但是行政院不會准
transcript.whisperx[33].start 750.314
transcript.whisperx[33].end 776.203
transcript.whisperx[33].text 報委員雖然有一些面積比較小的個案是不需要環評但是它還是需要環境檢核的程序所以現在陸山頭第二期環境檢核的程序做完了嗎我老實講啦我先停一下啦你們那個所謂的社會環境檢核啊那種報告書啊我看很多本我看很多本
transcript.whisperx[34].start 777.133
transcript.whisperx[34].end 800.46
transcript.whisperx[34].text 我當初在追光天碧暗的時候台南不管是七股還是北門那種環境檢核書自治的我看過非常多本的容我這樣子講那套制度利益良善落實到實際上面的時候根本沒有辦法發揮功用我覺得最簡單的嘛我以台南七股現在已經
transcript.whisperx[35].start 804.299
transcript.whisperx[35].end 821.274
transcript.whisperx[35].text 對檢察官起訴的案件來講當初在做社會檢核的時候為什麼明明違反小六甲的禁令結果從地方政府到中央政府大開後門讓他一路暢行讓立揚可以取得高達超過90億的不法利益
transcript.whisperx[36].start 822.489
transcript.whisperx[36].end 851.369
transcript.whisperx[36].text 這件事情完全沒有check出來高委員他沒有拿到電驗許可所以他一毛錢至少這幾個案場他沒有拿到任何的錢我用詞都很精準為什麼我說不法利益這四個字啊我跟拱部長報告不是我說的是檢察官寫在起訴書的是檢察官寫在起訴書的不法利益超過90億但我還是回來原來的point你要去爭執檢察官的起訴書寫錯說沒有超過90億的不法利益
transcript.whisperx[37].start 852.352
transcript.whisperx[37].end 873.701
transcript.whisperx[37].text 我尊重你就到法院慢慢去講但我要講的是我說的話有憑有據剛你提到社會檢核我就以立揚當作例子告訴你你們所講的社會檢核基本上是利益良善我沒有否認但實際上面要落實的時候他明明違反了小衛甲的禁令你們開了三個例外
transcript.whisperx[38].start 875.197
transcript.whisperx[38].end 901.673
transcript.whisperx[38].text 我問了前任的經濟部部長請問符合那三個例外的哪一個例外回答不出來我相信啊今天你也不知道符合哪一個例外就是沒有違反就是沒有符合任何例外還讓他違反小二甲的禁令檢察官才會用圖利罪去起訴嘛整個事情的背景是這樣但是我還是要回來這裡我們現在還是要面對一個問題我相信卓院長聽得懂
transcript.whisperx[39].start 902.844
transcript.whisperx[39].end 927.318
transcript.whisperx[39].text 我們在修法以後在水庫喔現在現行法是不需要還平的業者在我們目前行政院所謂在考慮要不要要求還平的時間空檔當中人家在步步進逼所謂在步步進逼我也不是為人聳聽我連他法說會的PBP我都秀在上面了他在8月21號的時候今年夏天
transcript.whisperx[40].start 927.998
transcript.whisperx[40].end 954.361
transcript.whisperx[40].text 所屋山頭二期水面型光電重設作業進行當中那我現在的問題很簡單我相信這不是只有我關心很多台南的鄉親都關心第二期你們會不會讓他繼續走下去其實大家只要你一句話而已部長說明一下 第二期因為那個地方政府沒有同意所以也沒有這個案子確定不會讓他走下去嗎對 其實現在沒有好 我希望在
transcript.whisperx[41].start 956.147
transcript.whisperx[41].end 980.677
transcript.whisperx[41].text 統部長環境部部長想清楚以前想清楚以前不要像過去一樣出現了所謂的法規的真空或是法規的縫隙讓業者在這段時間當中通通不用還品例子太多了啦我如果要舉所有的例子出來的話大概剩下的質詢的時間全部都要討論這一題了我希望
transcript.whisperx[42].start 981.656
transcript.whisperx[42].end 1007.451
transcript.whisperx[42].text 在考慮清楚以前不要做這件事情但是與此同時我也要問一下我們院長的態度這個就是我剛剛跟你講的從2016年5月到2025年7月9年的期間當中光電的環屏零件光電的環屏零件一件都不用做因為一件都不用做所以大家看到的是什麼
transcript.whisperx[43].start 1008.582
transcript.whisperx[43].end 1021.909
transcript.whisperx[43].text 山野光電板 海野光電板通通不用環評那現在 彭部長上來了以後應該是在去年年底 今年年初你頒布了新的規定嘛你新的規定 我也做了一個對照表
transcript.whisperx[44].start 1022.523
transcript.whisperx[44].end 1038.568
transcript.whisperx[44].text 因為我看了所謂環境部新的規定了以後我看了跟以前通通不用環評比有沒有進步我必須要說有進步環境部有進步的地方我們要肯定因為過去只有重要的施地要環評其他通通都不用環評
transcript.whisperx[45].start 1039.963
transcript.whisperx[45].end 1066.261
transcript.whisperx[45].text 那彭部長上來了以後他最起碼頒布的命令針對一些區域需要實施環評他有增加上去嗎但我們覺得有所不足所以有所不足指的是什麼地方針對國家風景區脆弱的敏感地區在一定的面積以上要經過環評這個政策立場請問院長贊不贊成如果照委員的前提講起來脆弱地區風景區這個地方都是我們要保護的
transcript.whisperx[46].start 1070.148
transcript.whisperx[46].end 1088.822
transcript.whisperx[46].text 我同意委員這樣的一個非常的好這個就是理性的政策討論嘛因為台灣民眾黨立法院黨團我們已經針對相關的法案送到立法院來了那天我有跟彭部長很誠懇的說我們在跟時間賽跑行政部門有行政部門的考慮我們都尊重
transcript.whisperx[47].start 1089.608
transcript.whisperx[47].end 1118.444
transcript.whisperx[47].text 但是在立法院裡面我們聽到了基層民眾的聲音基層民眾的聲音我們就必須什麼反映在國家有效施行的法律當中這樣實際上面才可以落實嘛那否則的話我們今天站在這邊質詢市場討論市場不要說沒有結論啦沒有具有法規範效力的東西出來的話你根本沒有辦法阻止這件事情繼續的進行第二個水面型的光電
transcript.whisperx[48].start 1119.994
transcript.whisperx[48].end 1132.082
transcript.whisperx[48].text 要經過環評 院長贊不贊成水面型的像水庫 像海上現在喔 彭部長我應該沒誤會嘛上次執行的時候你也講得很清楚嘛現在水面型的通通不需要經過環評
transcript.whisperx[49].start 1133.598
transcript.whisperx[49].end 1150.957
transcript.whisperx[49].text 因為目前全世界對於水面型的定義還沒有很明確但是我們最近很努力在找我覺得水面型的定義其實沒有那麼難去界定在水庫裡面鐵壁是水面型那針對水庫裡面的需要經過環評這件事情院長同不同意
transcript.whisperx[50].start 1152.054
transcript.whisperx[50].end 1166.519
transcript.whisperx[50].text 我本來的想法是在水面一定面積以上的我們可能要更慎重水庫我們可以往更慎重的方向來非常好 你說得很好我跟院長報告水面一定面積以上的要經過環皮
transcript.whisperx[51].start 1167.939
transcript.whisperx[51].end 1186.295
transcript.whisperx[51].text 這個就是台灣民眾黨立法院黨團現在所提出法案的內容比你們現在環境部完全不需要經過環評更符合院長的意思希望這個法案不過委員我要跟您報告像日本是要到40公尺40M以上沒有關係啊我們面積可以討論嘛對沒錯面積可以討論嘛總比總比你們現在
transcript.whisperx[52].start 1194.042
transcript.whisperx[52].end 1221.755
transcript.whisperx[52].text 完全不用環評開了法規的縫隙跟空間讓業者可以在這段時間當中去大搞特搞要來得好這就是我所講的意思今天台灣民眾黨我們所提出來的版本是一萬千瓦以上或是五公頃以上要環評我可以老實跟院長報告我們這個版本一提出來了以後環保團體馬上來找我們所以台灣民眾黨你們那個版本太鬆了
transcript.whisperx[53].start 1222.796
transcript.whisperx[53].end 1247.389
transcript.whisperx[53].text 什麼五公頃 一公頃就要了一萬千瓦太高了兩千千瓦以上就應該要送了這是環保團體的聲音但是我們也要符合實際上面現實的狀況所以我才跟院長講說現在的狀況是最糟糕的狀況我為什麼說是最糟糕的狀況現在不管面積多大通通都不用環評
transcript.whisperx[54].start 1248.826
transcript.whisperx[54].end 1262.847
transcript.whisperx[54].text 當部長第一次我聽到他表明說一定面積以上的要經過環評面積多少我們可以討論但是這個政策方向不管是在行政命令的層次還是在法律的層次往這個方向走 院長贊成嗎
transcript.whisperx[55].start 1264.622
transcript.whisperx[55].end 1290.363
transcript.whisperx[55].text 我們共同來往更進步的方向走所以多多溝通跟環保團體也好跟我們所有現在那個能源政策的配合我們多多的溝通往更進步的方向走我希望在年底以前這個會期這個是現在全台灣的民眾不僅僅是台南的鄉親不僅僅是高雄的鄉親大家都共同關注的問題另外一個是針對有關於這個
transcript.whisperx[56].start 1293.359
transcript.whisperx[56].end 1319.119
transcript.whisperx[56].text 我直接先跳下去因為齁 這個過去的事情我不太想再講了啦出現了這個生態的破壞 該清就趕快去清一清啦我去委員市長就清完了是啦 對啦我那天執行的時候 7月16號執行的時候經濟部次長跟我說99%清理完嘛對 現在已經清完了是嘛 你講的是現在嘛他7月16號跟我說99%清理完嘛結果7月16號之後 我是實事求是的
transcript.whisperx[57].start 1320.742
transcript.whisperx[57].end 1345.099
transcript.whisperx[57].text 現場根本就沒有清理完我接受了以後部長很認真啊直接跑下去看啊看完了以後現在是不是清理完現在是清理完了但7月16號的時候在衛團委員會經濟部次長回答我的根本就不是真實的東西但我現在要進入另外一個比較重要的主題是說當初吹成那個樣子
transcript.whisperx[58].start 1346.598
transcript.whisperx[58].end 1372.713
transcript.whisperx[58].text 我們的經濟部出來護航說當初已經有基本設計風速納入考慮經土木技師簽證你們那時候的標準是幾級風大概不一樣的地方是13 1413 14左右你知道業者當初承諾的是幾級風嗎你知不知道承諾的承諾他要抗幾級風業者當初要做的時候他要做規劃要做設計
transcript.whisperx[59].start 1375.424
transcript.whisperx[59].end 1399.461
transcript.whisperx[59].text 要給當地居民理解嘛 要跟主管西關報告嘛是 嘉義的 我現在就講嘉義的我討論事情喜歡具體 我不會跟你講抽象的事情針對嘉義的這個事情 當初釀成了非常大生態上面的破壞嘉義那邊的鄉親都很關心所以我才會去追嘛 清理完了沒有
transcript.whisperx[60].start 1401.035
transcript.whisperx[60].end 1428.091
transcript.whisperx[60].text 那委員會跟我說99%清理完 現實上不是這樣我也是善意的告訴你們啊我也沒有否認彭部長很認真啊知道沒有清理完趕快跑去嘉義看啊沒有沒有 我們主動的去裁罰他們他們必須要去清理 對對對對好 不好意思 我修正你表現得更好 你是很主動的下去裁罰要趕快把它清理完 這個都沒有問題但是 我現在要追究的是這真的只是偏災嗎
transcript.whisperx[61].start 1430.189
transcript.whisperx[61].end 1456.36
transcript.whisperx[61].text 因為當經濟部發出這樣子的聲明的時候說啊 歸咎於風力太大 風很大這我沒否認但是我們要看的是什麼如果風是這個樣子那我們當初規範的標準是什麼剛剛部長說不同的地方是三級或十四級嘛所以我才請教經濟部部長說你知不知道當初就是這個嘉義的滯洪池當初業者承諾的是幾級風來 沒關係 我幫你查好了
transcript.whisperx[62].start 1460.565
transcript.whisperx[62].end 1482.917
transcript.whisperx[62].text 當初2019年光電業者他說可以抗17級強風這個是光電業者當年白紙黑字寫出來的東西你要跟居民掛保證空口說白話講都很會講現實上面經不起考驗下一個問題
transcript.whisperx[63].start 1484.558
transcript.whisperx[63].end 1495.507
transcript.whisperx[63].text 當初跟居民所做的保證說可以抗17級的強風結果現在遇到13級就變成剛剛那個樣子了院長你覺得這件事情誰要負責
transcript.whisperx[64].start 1496.277
transcript.whisperx[64].end 1515.216
transcript.whisperx[64].text 我們當然要對廠商施以強力的要求不過我跟委員報告當時我去到離這裡不遠的另外一個廠那個比較處理得很好的廠他也是一大片他只有一部分受損重點是受損的時候這個業者非常誠心的快速的把它處理掉我們認為那你這個兩個層次的問題 院長
transcript.whisperx[65].start 1519.12
transcript.whisperx[65].end 1545.33
transcript.whisperx[65].text 剛剛你講的事情完全就是我要講的point有兩家廠商一個沒有做好一個有做好我們這次社會上面要有規範政府要有態度要保障居民的權益是不是就要針對那個沒有做好的廠商我們已經開罰了那他父親應該有就對了開罰有兩個部分第一個他違反行政法上面的作為義務那個是罰款
transcript.whisperx[66].start 1546.089
transcript.whisperx[66].end 1575
transcript.whisperx[66].text 那是對於過去行為的處罰但是還有第二項事情第二項事情是他所釀成的災害他所造成的損失他違反了當初的承諾這個責任要怎麼追究這個不是行政法上面的行政法我在這邊不會信口開河院長你如果不相信我的話會後你可以請教林明信政委我們行政法的權威跟專家違反行政法上面的義務的行政法跟
transcript.whisperx[67].start 1576.445
transcript.whisperx[67].end 1590.864
transcript.whisperx[67].text 他自己的行為違反當初的承諾所造成的損害的填補這是兩個不同層次的問題院長我只要一句話第一個這個廠商的責任除了行政法上面的行政法以外要不要追究
transcript.whisperx[68].start 1592.813
transcript.whisperx[68].end 1607.171
transcript.whisperx[68].text 我認為經濟部除了在跟契約合約內容的要求履約的這個責任之外如果真的有釀災或者造成其他的損害我們可以在行政法之外再跟他做很好民事的行政法就軟掉嘛
transcript.whisperx[69].start 1611.175
transcript.whisperx[69].end 1639.32
transcript.whisperx[69].text 他是雲報能源 他是永興 不是雲報不是 他是一個外籍的沒有啦 再往下包我全部都查完了不會 我們那天就看到他是一個外籍的民事在現場剛剛您說的啦 除了行政法以外其他責任的追究的部分我給經濟部時間需要多久要去了解一下 需要多久應該不用太久所以是多久 兩個禮拜時間兩個禮拜 好 可以 沒有問題
transcript.whisperx[70].start 1640.339
transcript.whisperx[70].end 1665.038
transcript.whisperx[70].text 接下來 不好意思 我只剩三分鐘這很多年輕人關心 你讓我問完你有什麼話要講 你會後再補非常多年輕人關心社會住宅的事情我昨天在內政委員會也請教了劉士芳部長我們先看一下 賴清德總統他所開出來的政界包租蓋管17萬戶 新建的 就是蓋的啦
transcript.whisperx[71].start 1667.383
transcript.whisperx[71].end 1687.99
transcript.whisperx[71].text 13萬戶 租金補貼10萬戶以上所以他答應他要做的跟蔡總統以前已經答應要做包括已經做的跟還沒有做的還有在進行中的加起來是100萬戶這個數字要很具體的跟大家講非常多的年輕人在關心說內政部針對有關於興建的部分13萬戶
transcript.whisperx[72].start 1689.651
transcript.whisperx[72].end 1704.224
transcript.whisperx[72].text 到底什麼時候要核定因為太多年輕人關心了NGO也跑來找我所以我昨天在內政委員會我請教了我們的劉士芳部長說目前現在的進度到底是怎麼樣因為
transcript.whisperx[73].start 1705.265
transcript.whisperx[73].end 1726.196
transcript.whisperx[73].text 在今年4月16號的時候行政院有發函給內政部要求內政部緊述重新檢討後再行抱怨我的理解是內政部也重新檢討完也抱怨了但我昨天請教他的問題是什麼那行政院核定的進度是什麼到目前為止核定了幾戶
transcript.whisperx[74].start 1727.338
transcript.whisperx[74].end 1749.716
transcript.whisperx[74].text 我昨天在請教劉部長的時候劉部長說你們今年的計畫到底核定了幾戶要興建他說有 有核定有這個數字我說確定嗎還是根本還沒有核定他說有 當然有這個數字但是我手頭上沒有這個數字這個是昨天的組織我全部把它列出來了院長 核定了嗎
transcript.whisperx[75].start 1755.097
transcript.whisperx[75].end 1777.642
transcript.whisperx[75].text 謝謝黃委員的指教昨天黃委員指教的部分因為昨天的議題不是指直接興建設宅沒有關係我現在去查出來以後我想會後我辦公室的同仁跟你們部裡面的同仁聯絡過了以後部長應該現在了解實際的狀況我也沒有要去追究你昨天回答的答案是錯的但我現在關心的是目前行政院決定要核定幾戶
transcript.whisperx[76].start 1778.762
transcript.whisperx[76].end 1796.688
transcript.whisperx[76].text 這個大家關心的根本重點是這個因為你今天要求的就是114年的時候賴清德總統到底有沒有答應這個戶數到目前為止就是說我們住租中心加上一部分的這個地方政府的部分大概現在的絕標的戶數大概接近2000戶左右
transcript.whisperx[77].start 1797.888
transcript.whisperx[77].end 1821.677
transcript.whisperx[77].text 那如果是由住住中心那是你們決標的那兩千戶全部都是蔡英文總統任內合併的社會住宅沒有沒有沒有 報告委員114年社會住宅興建工程的款我們總共編列是418億元那執行了129案到現在我已經支用290億左右也就支用率是70%左右不好意思喔 我還是回到最根本的問題針對13萬戶啊社會住宅的政見跟承諾第一個
transcript.whisperx[78].start 1825.956
transcript.whisperx[78].end 1845.717
transcript.whisperx[78].text 行政院有沒有要履行第二個現在核定到底幾戶因為這個數字啊我一而猜 猜而三的問我跟黨團啊幾乎是每個月都去跟主管機關問永遠問不到數字因為行政院還沒有核所以昨天劉志邦部長跟我在內政委員會說有核啊只是數字
transcript.whisperx[79].start 1860.748
transcript.whisperx[79].end 1860.768
transcript.whisperx[79].text 好 謝謝 謝謝黃偉