iVOD / 169580

Field Value
IVOD_ID 169580
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169580
日期 2026-05-22
會議資料.會議代碼 院會-11-5-11
會議資料.會議代碼:str 第11屆第5會期第11次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 11
會議資料.種類 院會
會議資料.標題 第11屆第5會期第11次會議
影片種類 Clip
開始時間 2026-05-22T15:04:01+08:00
結束時間 2026-05-22T15:19:43+08:00
影片長度 00:15:42
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5facaeb0533af710445cb8f54d10fb5612ff92f8a104cb3ed25153725b2dfc11db83578cf04ae42b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 15:04:01 - 15:19:43
會議時間 2026-05-22T09:00:00+08:00
會議名稱 第11屆第5會期第11次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、5月22日上午9時至10時為國是論壇時間。三、5月26日下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 3.28784375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 8.94096875
transcript.pyannote[1].end 9.14346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.53971875
transcript.pyannote[2].end 12.67034375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.34534375
transcript.pyannote[3].end 14.07096875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 14.23971875
transcript.pyannote[4].end 17.76659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 22.62659375
transcript.pyannote[5].end 23.68971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 31.75596875
transcript.pyannote[6].end 32.39721875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 32.58284375
transcript.pyannote[7].end 34.84409375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 34.03409375
transcript.pyannote[8].end 34.89471875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 34.89471875
transcript.pyannote[9].end 34.96221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 34.97909375
transcript.pyannote[10].end 37.93221875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 38.11784375
transcript.pyannote[11].end 38.13471875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 38.13471875
transcript.pyannote[12].end 39.60284375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 38.28659375
transcript.pyannote[13].end 41.18909375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 40.00784375
transcript.pyannote[14].end 47.06159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 41.76284375
transcript.pyannote[15].end 42.75846875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 45.82971875
transcript.pyannote[16].end 45.93096875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 46.20096875
transcript.pyannote[17].end 46.31909375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 46.63971875
transcript.pyannote[18].end 47.43284375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 47.14596875
transcript.pyannote[19].end 49.55909375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 49.52534375
transcript.pyannote[20].end 58.80659375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 55.98846875
transcript.pyannote[21].end 57.43971875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 58.36784375
transcript.pyannote[22].end 61.60784375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 61.33784375
transcript.pyannote[23].end 62.80596875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 61.72596875
transcript.pyannote[24].end 66.77159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 63.12659375
transcript.pyannote[25].end 79.96784375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 73.60596875
transcript.pyannote[26].end 76.62659375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 80.01846875
transcript.pyannote[27].end 82.04346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 80.20409375
transcript.pyannote[28].end 80.76096875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 81.52034375
transcript.pyannote[29].end 81.97596875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 82.04346875
transcript.pyannote[30].end 88.28721875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 88.91159375
transcript.pyannote[31].end 92.03346875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 92.67471875
transcript.pyannote[32].end 93.61971875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 93.61971875
transcript.pyannote[33].end 94.85159375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 95.00346875
transcript.pyannote[34].end 96.57284375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 97.92284375
transcript.pyannote[35].end 99.35721875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 100.20096875
transcript.pyannote[36].end 101.31471875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 102.58034375
transcript.pyannote[37].end 103.82909375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 104.74034375
transcript.pyannote[38].end 106.51221875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 107.45721875
transcript.pyannote[39].end 110.89971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 111.28784375
transcript.pyannote[40].end 112.75596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 113.09346875
transcript.pyannote[41].end 117.54846875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 118.24034375
transcript.pyannote[42].end 124.36596875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 124.75409375
transcript.pyannote[43].end 125.68221875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 126.35721875
transcript.pyannote[44].end 129.42846875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 129.96846875
transcript.pyannote[45].end 131.28471875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 131.40284375
transcript.pyannote[46].end 132.44909375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 132.01034375
transcript.pyannote[47].end 133.98471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 134.60909375
transcript.pyannote[48].end 135.60471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 136.61721875
transcript.pyannote[49].end 137.84909375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 139.63784375
transcript.pyannote[50].end 140.24534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 140.44784375
transcript.pyannote[51].end 143.16471875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 140.81909375
transcript.pyannote[52].end 141.89909375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 143.16471875
transcript.pyannote[53].end 143.60346875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 143.99159375
transcript.pyannote[54].end 144.59909375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 145.07159375
transcript.pyannote[55].end 145.84784375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 146.28659375
transcript.pyannote[56].end 147.87284375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 148.51409375
transcript.pyannote[57].end 148.98659375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 149.22284375
transcript.pyannote[58].end 149.52659375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 149.71221875
transcript.pyannote[59].end 149.96534375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 150.03284375
transcript.pyannote[60].end 150.37034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 151.18034375
transcript.pyannote[61].end 151.90596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 152.42909375
transcript.pyannote[62].end 153.18846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 153.50909375
transcript.pyannote[63].end 153.81284375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 154.92659375
transcript.pyannote[64].end 156.36096875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 156.83346875
transcript.pyannote[65].end 159.26346875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 159.73596875
transcript.pyannote[66].end 162.16596875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 162.73971875
transcript.pyannote[67].end 164.83221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 164.93346875
transcript.pyannote[68].end 166.43534375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 167.58284375
transcript.pyannote[69].end 172.03784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 172.98284375
transcript.pyannote[70].end 174.34971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 174.53534375
transcript.pyannote[71].end 178.50096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 179.05784375
transcript.pyannote[72].end 181.57221875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 181.96034375
transcript.pyannote[73].end 184.60971875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 185.11596875
transcript.pyannote[74].end 186.31409375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 186.97221875
transcript.pyannote[75].end 189.50346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 189.97596875
transcript.pyannote[76].end 191.89971875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 192.23721875
transcript.pyannote[77].end 195.05534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 195.29159375
transcript.pyannote[78].end 197.97471875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 198.98721875
transcript.pyannote[79].end 200.13471875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 200.79284375
transcript.pyannote[80].end 201.70409375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 202.49721875
transcript.pyannote[81].end 203.03721875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 203.67846875
transcript.pyannote[82].end 204.92721875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 205.48409375
transcript.pyannote[83].end 206.20971875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 206.93534375
transcript.pyannote[84].end 208.03221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 208.63971875
transcript.pyannote[85].end 209.09534375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 209.28096875
transcript.pyannote[86].end 209.60159375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 211.00221875
transcript.pyannote[87].end 214.63034375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 215.10284375
transcript.pyannote[88].end 222.35909375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 222.71346875
transcript.pyannote[89].end 223.18596875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 224.36721875
transcript.pyannote[90].end 225.73409375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 226.22346875
transcript.pyannote[91].end 228.14721875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 229.09221875
transcript.pyannote[92].end 236.75346875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 236.95596875
transcript.pyannote[93].end 238.28909375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 239.97659375
transcript.pyannote[94].end 254.69159375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 242.57534375
transcript.pyannote[95].end 244.09409375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 248.02596875
transcript.pyannote[96].end 248.27909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 254.97846875
transcript.pyannote[97].end 256.27784375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 256.91909375
transcript.pyannote[98].end 257.59409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 257.71221875
transcript.pyannote[99].end 258.92721875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 259.43346875
transcript.pyannote[100].end 260.58096875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 260.69909375
transcript.pyannote[101].end 261.61034375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 262.09971875
transcript.pyannote[102].end 263.38221875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 264.15846875
transcript.pyannote[103].end 266.65596875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 266.75721875
transcript.pyannote[104].end 267.49971875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 267.68534375
transcript.pyannote[105].end 268.81596875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 269.27159375
transcript.pyannote[106].end 271.09409375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 271.78596875
transcript.pyannote[107].end 272.93346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 273.22034375
transcript.pyannote[108].end 273.45659375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 274.11471875
transcript.pyannote[109].end 279.76784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 276.96659375
transcript.pyannote[110].end 277.01721875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 280.12221875
transcript.pyannote[111].end 281.75909375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 282.34971875
transcript.pyannote[112].end 284.86409375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 286.56846875
transcript.pyannote[113].end 287.02409375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 287.26034375
transcript.pyannote[114].end 287.53034375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 287.63159375
transcript.pyannote[115].end 288.15471875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 289.15034375
transcript.pyannote[116].end 290.82096875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 292.42409375
transcript.pyannote[117].end 295.14096875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 295.63034375
transcript.pyannote[118].end 299.46096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 300.28784375
transcript.pyannote[119].end 303.39284375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 304.37159375
transcript.pyannote[120].end 305.65409375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 306.43034375
transcript.pyannote[121].end 307.29096875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 308.70846875
transcript.pyannote[122].end 310.21034375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 310.48034375
transcript.pyannote[123].end 311.86409375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 312.03284375
transcript.pyannote[124].end 313.58534375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 314.05784375
transcript.pyannote[125].end 315.23909375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 315.71159375
transcript.pyannote[126].end 319.79534375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 320.30159375
transcript.pyannote[127].end 324.01409375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 324.62159375
transcript.pyannote[128].end 326.57909375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 324.80721875
transcript.pyannote[129].end 325.14471875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 326.57909375
transcript.pyannote[130].end 326.91659375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 327.65909375
transcript.pyannote[131].end 329.19471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 330.61221875
transcript.pyannote[132].end 331.52346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 331.52346875
transcript.pyannote[133].end 331.54034375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 331.65846875
transcript.pyannote[134].end 332.82284375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 333.34596875
transcript.pyannote[135].end 333.81846875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 333.98721875
transcript.pyannote[136].end 337.17659375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 334.54409375
transcript.pyannote[137].end 335.11784375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 336.88971875
transcript.pyannote[138].end 338.07096875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 338.13846875
transcript.pyannote[139].end 338.98221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 339.15096875
transcript.pyannote[140].end 340.56846875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 340.56846875
transcript.pyannote[141].end 342.98159375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 341.15909375
transcript.pyannote[142].end 341.51346875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 343.08284375
transcript.pyannote[143].end 343.18409375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 343.18409375
transcript.pyannote[144].end 343.23471875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 343.23471875
transcript.pyannote[145].end 343.25159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 343.25159375
transcript.pyannote[146].end 345.86721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 343.36971875
transcript.pyannote[147].end 343.84221875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 344.58471875
transcript.pyannote[148].end 347.65596875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 347.65596875
transcript.pyannote[149].end 352.06034375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 349.84971875
transcript.pyannote[150].end 361.35846875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 360.29534375
transcript.pyannote[151].end 372.52971875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 363.88971875
transcript.pyannote[152].end 364.17659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 370.33596875
transcript.pyannote[153].end 384.40971875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 381.84471875
transcript.pyannote[154].end 382.68846875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 384.64596875
transcript.pyannote[155].end 387.36284375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 387.90284375
transcript.pyannote[156].end 389.26971875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 389.65784375
transcript.pyannote[157].end 393.06659375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 393.84284375
transcript.pyannote[158].end 398.82096875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 399.56346875
transcript.pyannote[159].end 405.14909375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 402.36471875
transcript.pyannote[160].end 405.84096875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 406.06034375
transcript.pyannote[161].end 407.49471875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 408.37221875
transcript.pyannote[162].end 417.48471875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 414.32909375
transcript.pyannote[163].end 414.56534375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 415.03784375
transcript.pyannote[164].end 419.13846875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 419.13846875
transcript.pyannote[165].end 426.37784375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 426.85034375
transcript.pyannote[166].end 428.47034375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 428.25096875
transcript.pyannote[167].end 432.14909375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 432.35159375
transcript.pyannote[168].end 435.89534375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 432.99284375
transcript.pyannote[169].end 433.75221875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 436.23284375
transcript.pyannote[170].end 436.75596875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 437.04284375
transcript.pyannote[171].end 439.37159375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 439.38846875
transcript.pyannote[172].end 439.40534375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 439.40534375
transcript.pyannote[173].end 445.15971875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 446.25659375
transcript.pyannote[174].end 446.71221875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 447.23534375
transcript.pyannote[175].end 449.64846875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 450.44159375
transcript.pyannote[176].end 454.18784375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 454.66034375
transcript.pyannote[177].end 455.82471875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 456.39846875
transcript.pyannote[178].end 457.22534375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 457.51221875
transcript.pyannote[179].end 459.08159375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 459.57096875
transcript.pyannote[180].end 460.75221875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 461.39346875
transcript.pyannote[181].end 462.47346875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 462.76034375
transcript.pyannote[182].end 465.00471875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 465.71346875
transcript.pyannote[183].end 466.37159375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 466.75971875
transcript.pyannote[184].end 467.55284375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 468.24471875
transcript.pyannote[185].end 469.56096875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 470.70846875
transcript.pyannote[186].end 472.51409375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 473.62784375
transcript.pyannote[187].end 475.01159375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 476.09159375
transcript.pyannote[188].end 477.35721875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 477.35721875
transcript.pyannote[189].end 480.02346875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 480.34409375
transcript.pyannote[190].end 481.47471875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 481.96409375
transcript.pyannote[191].end 483.24659375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 483.60096875
transcript.pyannote[192].end 485.98034375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 487.12784375
transcript.pyannote[193].end 493.89471875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 494.26596875
transcript.pyannote[194].end 497.59034375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 498.33284375
transcript.pyannote[195].end 501.92721875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 498.38346875
transcript.pyannote[196].end 499.51409375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 502.24784375
transcript.pyannote[197].end 504.91409375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 505.11659375
transcript.pyannote[198].end 513.23346875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 514.17846875
transcript.pyannote[199].end 516.16971875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 516.49034375
transcript.pyannote[200].end 517.03034375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 518.41409375
transcript.pyannote[201].end 519.05534375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 519.98346875
transcript.pyannote[202].end 521.82284375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 521.87346875
transcript.pyannote[203].end 523.74659375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 524.40471875
transcript.pyannote[204].end 524.57346875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 524.97846875
transcript.pyannote[205].end 526.09221875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 526.34534375
transcript.pyannote[206].end 528.06659375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 530.24346875
transcript.pyannote[207].end 531.62721875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 531.86346875
transcript.pyannote[208].end 532.20096875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 533.88846875
transcript.pyannote[209].end 537.06096875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 537.60096875
transcript.pyannote[210].end 538.17471875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 538.69784375
transcript.pyannote[211].end 540.60471875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 542.29221875
transcript.pyannote[212].end 550.03784375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 544.35096875
transcript.pyannote[213].end 547.20284375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 550.30784375
transcript.pyannote[214].end 561.96846875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 560.60159375
transcript.pyannote[215].end 565.09034375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 565.79909375
transcript.pyannote[216].end 567.04784375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 567.40221875
transcript.pyannote[217].end 574.59096875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 574.89471875
transcript.pyannote[218].end 576.46409375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 577.00409375
transcript.pyannote[219].end 577.64534375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 578.47221875
transcript.pyannote[220].end 582.30284375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 582.94409375
transcript.pyannote[221].end 586.87596875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 587.60159375
transcript.pyannote[222].end 589.47471875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 590.28471875
transcript.pyannote[223].end 591.66846875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 592.37721875
transcript.pyannote[224].end 593.47409375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 594.19971875
transcript.pyannote[225].end 595.33034375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 595.71846875
transcript.pyannote[226].end 605.47221875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 605.64096875
transcript.pyannote[227].end 607.53096875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 608.02034375
transcript.pyannote[228].end 609.74159375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 610.39971875
transcript.pyannote[229].end 615.25971875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 615.66471875
transcript.pyannote[230].end 620.62596875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 620.77784375
transcript.pyannote[231].end 623.78159375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 623.88284375
transcript.pyannote[232].end 625.06409375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 624.82784375
transcript.pyannote[233].end 633.92346875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 634.63221875
transcript.pyannote[234].end 642.59721875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 639.42471875
transcript.pyannote[235].end 639.96471875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 642.39471875
transcript.pyannote[236].end 647.35596875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 647.59221875
transcript.pyannote[237].end 649.11096875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 650.27534375
transcript.pyannote[238].end 651.92909375
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 652.38471875
transcript.pyannote[239].end 652.97534375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 652.97534375
transcript.pyannote[240].end 653.02596875
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 653.02596875
transcript.pyannote[241].end 660.38346875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 654.49409375
transcript.pyannote[242].end 654.78096875
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 660.68721875
transcript.pyannote[243].end 663.18471875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 661.88534375
transcript.pyannote[244].end 662.35784375
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 664.01159375
transcript.pyannote[245].end 667.03221875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 667.80846875
transcript.pyannote[246].end 669.42846875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 670.30596875
transcript.pyannote[247].end 670.66034375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 670.89659375
transcript.pyannote[248].end 673.88346875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 674.11971875
transcript.pyannote[249].end 677.91659375
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 678.30471875
transcript.pyannote[250].end 680.98784375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 681.73034375
transcript.pyannote[251].end 685.18971875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 685.61159375
transcript.pyannote[252].end 688.07534375
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 688.66596875
transcript.pyannote[253].end 689.42534375
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 690.28596875
transcript.pyannote[254].end 691.26471875
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 691.99034375
transcript.pyannote[255].end 696.96846875
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 697.39034375
transcript.pyannote[256].end 702.85784375
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 703.65096875
transcript.pyannote[257].end 706.62096875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 706.99221875
transcript.pyannote[258].end 709.40534375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 709.82721875
transcript.pyannote[259].end 710.80596875
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 711.90284375
transcript.pyannote[260].end 714.75471875
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 715.32846875
transcript.pyannote[261].end 716.23971875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 716.56034375
transcript.pyannote[262].end 719.74971875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 719.98596875
transcript.pyannote[263].end 723.59721875
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 724.49159375
transcript.pyannote[264].end 726.51659375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 727.78221875
transcript.pyannote[265].end 729.63846875
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 730.14471875
transcript.pyannote[266].end 730.75221875
transcript.pyannote[267].speaker SPEAKER_00
transcript.pyannote[267].start 731.08971875
transcript.pyannote[267].end 734.11034375
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 735.51096875
transcript.pyannote[268].end 737.36721875
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 738.19409375
transcript.pyannote[269].end 738.75096875
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 739.39221875
transcript.pyannote[270].end 741.24846875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 741.34971875
transcript.pyannote[271].end 742.48034375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 742.90221875
transcript.pyannote[272].end 746.63159375
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 747.03659375
transcript.pyannote[273].end 753.34784375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 752.06534375
transcript.pyannote[274].end 753.93846875
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 753.39846875
transcript.pyannote[275].end 756.46971875
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 757.46534375
transcript.pyannote[276].end 759.69284375
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 761.11034375
transcript.pyannote[277].end 768.02909375
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 768.06284375
transcript.pyannote[278].end 769.31159375
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 769.64909375
transcript.pyannote[279].end 771.89346875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 769.73346875
transcript.pyannote[280].end 770.79659375
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 771.01596875
transcript.pyannote[281].end 771.06659375
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 771.48846875
transcript.pyannote[282].end 771.65721875
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 772.18034375
transcript.pyannote[283].end 773.31096875
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 773.81721875
transcript.pyannote[284].end 774.81284375
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 773.85096875
transcript.pyannote[285].end 774.76221875
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 775.43721875
transcript.pyannote[286].end 778.37346875
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 776.02784375
transcript.pyannote[287].end 776.21346875
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 778.42409375
transcript.pyannote[288].end 780.61784375
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 780.87096875
transcript.pyannote[289].end 786.15284375
transcript.pyannote[290].speaker SPEAKER_00
transcript.pyannote[290].start 786.69284375
transcript.pyannote[290].end 787.45221875
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 787.75596875
transcript.pyannote[291].end 788.16096875
transcript.pyannote[292].speaker SPEAKER_00
transcript.pyannote[292].start 788.48159375
transcript.pyannote[292].end 790.84409375
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 791.19846875
transcript.pyannote[293].end 793.93221875
transcript.pyannote[294].speaker SPEAKER_00
transcript.pyannote[294].start 794.50596875
transcript.pyannote[294].end 797.42534375
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 797.62784375
transcript.pyannote[295].end 798.04971875
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 798.70784375
transcript.pyannote[296].end 799.70346875
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 799.61909375
transcript.pyannote[297].end 799.68659375
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 799.70346875
transcript.pyannote[298].end 800.17596875
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 800.51346875
transcript.pyannote[299].end 807.31409375
transcript.pyannote[300].speaker SPEAKER_00
transcript.pyannote[300].start 800.66534375
transcript.pyannote[300].end 801.18846875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 807.87096875
transcript.pyannote[301].end 810.04784375
transcript.pyannote[302].speaker SPEAKER_00
transcript.pyannote[302].start 810.99284375
transcript.pyannote[302].end 812.83221875
transcript.pyannote[303].speaker SPEAKER_00
transcript.pyannote[303].start 813.60846875
transcript.pyannote[303].end 815.95409375
transcript.pyannote[304].speaker SPEAKER_00
transcript.pyannote[304].start 816.39284375
transcript.pyannote[304].end 818.68784375
transcript.pyannote[305].speaker SPEAKER_00
transcript.pyannote[305].start 820.05471875
transcript.pyannote[305].end 822.14721875
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 822.24846875
transcript.pyannote[306].end 822.58596875
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 822.83909375
transcript.pyannote[307].end 823.49721875
transcript.pyannote[308].speaker SPEAKER_00
transcript.pyannote[308].start 823.59846875
transcript.pyannote[308].end 826.55159375
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 826.66971875
transcript.pyannote[309].end 828.86346875
transcript.pyannote[310].speaker SPEAKER_00
transcript.pyannote[310].start 827.31096875
transcript.pyannote[310].end 827.37846875
transcript.pyannote[311].speaker SPEAKER_00
transcript.pyannote[311].start 828.77909375
transcript.pyannote[311].end 837.28409375
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 828.89721875
transcript.pyannote[312].end 830.33159375
transcript.pyannote[313].speaker SPEAKER_00
transcript.pyannote[313].start 837.79034375
transcript.pyannote[313].end 839.02221875
transcript.pyannote[314].speaker SPEAKER_00
transcript.pyannote[314].start 839.07284375
transcript.pyannote[314].end 839.10659375
transcript.pyannote[315].speaker SPEAKER_00
transcript.pyannote[315].start 839.14034375
transcript.pyannote[315].end 842.02596875
transcript.pyannote[316].speaker SPEAKER_00
transcript.pyannote[316].start 842.04284375
transcript.pyannote[316].end 844.74284375
transcript.pyannote[317].speaker SPEAKER_00
transcript.pyannote[317].start 845.43471875
transcript.pyannote[317].end 847.98284375
transcript.pyannote[318].speaker SPEAKER_00
transcript.pyannote[318].start 848.67471875
transcript.pyannote[318].end 849.43409375
transcript.pyannote[319].speaker SPEAKER_00
transcript.pyannote[319].start 850.10909375
transcript.pyannote[319].end 850.49721875
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 851.03721875
transcript.pyannote[320].end 853.09596875
transcript.pyannote[321].speaker SPEAKER_00
transcript.pyannote[321].start 853.18034375
transcript.pyannote[321].end 854.26034375
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 854.26034375
transcript.pyannote[322].end 854.46284375
transcript.pyannote[323].speaker SPEAKER_00
transcript.pyannote[323].start 855.05346875
transcript.pyannote[323].end 856.57221875
transcript.pyannote[324].speaker SPEAKER_00
transcript.pyannote[324].start 857.31471875
transcript.pyannote[324].end 859.01909375
transcript.pyannote[325].speaker SPEAKER_01
transcript.pyannote[325].start 859.22159375
transcript.pyannote[325].end 860.31846875
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 860.31846875
transcript.pyannote[326].end 861.70221875
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 862.34346875
transcript.pyannote[327].end 864.28409375
transcript.pyannote[328].speaker SPEAKER_00
transcript.pyannote[328].start 864.48659375
transcript.pyannote[328].end 865.21221875
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 865.58346875
transcript.pyannote[329].end 866.37659375
transcript.pyannote[330].speaker SPEAKER_00
transcript.pyannote[330].start 867.67596875
transcript.pyannote[330].end 869.34659375
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 870.25784375
transcript.pyannote[331].end 870.39284375
transcript.pyannote[332].speaker SPEAKER_00
transcript.pyannote[332].start 870.88221875
transcript.pyannote[332].end 871.59096875
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 872.02971875
transcript.pyannote[333].end 874.54409375
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 874.83096875
transcript.pyannote[334].end 877.07534375
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 877.19346875
transcript.pyannote[335].end 880.61909375
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 881.07471875
transcript.pyannote[336].end 884.63534375
transcript.pyannote[337].speaker SPEAKER_01
transcript.pyannote[337].start 883.94346875
transcript.pyannote[337].end 885.22596875
transcript.pyannote[338].speaker SPEAKER_00
transcript.pyannote[338].start 885.29346875
transcript.pyannote[338].end 888.60096875
transcript.pyannote[339].speaker SPEAKER_01
transcript.pyannote[339].start 888.60096875
transcript.pyannote[339].end 888.95534375
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 888.95534375
transcript.pyannote[340].end 889.56284375
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 890.15346875
transcript.pyannote[341].end 891.97596875
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 892.51596875
transcript.pyannote[342].end 894.99659375
transcript.pyannote[343].speaker SPEAKER_00
transcript.pyannote[343].start 895.30034375
transcript.pyannote[343].end 896.39721875
transcript.pyannote[344].speaker SPEAKER_00
transcript.pyannote[344].start 896.71784375
transcript.pyannote[344].end 897.81471875
transcript.pyannote[345].speaker SPEAKER_00
transcript.pyannote[345].start 898.05096875
transcript.pyannote[345].end 899.16471875
transcript.pyannote[346].speaker SPEAKER_00
transcript.pyannote[346].start 899.48534375
transcript.pyannote[346].end 900.86909375
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 901.79721875
transcript.pyannote[347].end 907.56846875
transcript.pyannote[348].speaker SPEAKER_00
transcript.pyannote[348].start 907.16346875
transcript.pyannote[348].end 907.82159375
transcript.pyannote[349].speaker SPEAKER_00
transcript.pyannote[349].start 907.99034375
transcript.pyannote[349].end 908.15909375
transcript.pyannote[350].speaker SPEAKER_00
transcript.pyannote[350].start 908.54721875
transcript.pyannote[350].end 914.89221875
transcript.pyannote[351].speaker SPEAKER_00
transcript.pyannote[351].start 915.51659375
transcript.pyannote[351].end 916.88346875
transcript.pyannote[352].speaker SPEAKER_00
transcript.pyannote[352].start 917.20409375
transcript.pyannote[352].end 917.82846875
transcript.pyannote[353].speaker SPEAKER_00
transcript.pyannote[353].start 918.30096875
transcript.pyannote[353].end 920.39346875
transcript.pyannote[354].speaker SPEAKER_00
transcript.pyannote[354].start 920.71409375
transcript.pyannote[354].end 931.39596875
transcript.pyannote[355].speaker SPEAKER_00
transcript.pyannote[355].start 931.96971875
transcript.pyannote[355].end 932.91471875
transcript.pyannote[356].speaker SPEAKER_00
transcript.pyannote[356].start 933.55596875
transcript.pyannote[356].end 934.43346875
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 934.60221875
transcript.pyannote[357].end 936.05346875
transcript.pyannote[358].speaker SPEAKER_00
transcript.pyannote[358].start 936.05346875
transcript.pyannote[358].end 936.37409375
transcript.pyannote[359].speaker SPEAKER_00
transcript.pyannote[359].start 936.45846875
transcript.pyannote[359].end 936.59346875
transcript.pyannote[360].speaker SPEAKER_00
transcript.pyannote[360].start 937.01534375
transcript.pyannote[360].end 938.24721875
transcript.pyannote[361].speaker SPEAKER_01
transcript.pyannote[361].start 940.23846875
transcript.pyannote[361].end 942.22971875
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 23.048
transcript.whisperx[0].text 接下來請賴世寶委員質詢王世堅委員請準備謝謝主席韓院長以及各位先進有請行政院的卓院長麻煩請卓院長
transcript.whisperx[1].start 31.926
transcript.whisperx[1].end 61.046
transcript.whisperx[1].text 賴委員好院長辛苦 辛苦到最近脾氣沒有那麼好 剛才那麼兇不是 我不是互短其實沒有必要一個公務員在參加國際會議不需要在國內用這種方式我們應該鼓勵他的任何事情回來我們秉公處理你這樣講你的立場但是我覺得對國會議員的尊重要有一定的尊重你要尊重公務員你來這裡韓院長剛出國回來他也知道外交多困難
transcript.whisperx[2].start 61.906
transcript.whisperx[2].end 81.822
transcript.whisperx[2].text 一個國務委員在外面打拚不需要這個樣子大家將心比心我本來想說讓你有一個態度表示堅頭一點對一個女性的國務委員表達一點你的你不要說前一步那麼對一個女性的政委也表達一點尊重不行嗎你對一個立委這樣一個女性立委這樣形容也不好我們對女性的政委也要尊重一下
transcript.whisperx[3].start 82.202
transcript.whisperx[3].end 102.674
transcript.whisperx[3].text 左院長 剛才態度你不好 我要跟你說我第三者的觀點是這樣看的 就是我的看法我們看現在的石部長在哪裡 今天石部長沒有來他也是參加會議對 他參加會議 參加WHA不得其門而入 民進黨執政之後兩岸關係啟動 國際組織一籌莫展
transcript.whisperx[4].start 107.526
transcript.whisperx[4].end 135.459
transcript.whisperx[4].text 除了第一年林作援的時候那時候是因為那時候還沒交接所以呢是馬英九的執政的好奇林作援可以用衛生部 衛福部長去參加之後十年了 都沒有都沒有啦齁不管這裡面 恰羅達古 布卡某幾波齁那我就問院長責任在我身上來來你先不要急齁請你尊重我吧
transcript.whisperx[5].start 136.687
transcript.whisperx[5].end 137.648
transcript.whisperx[5].text 你要大聲我可以大聲弄這樣不好好我沒有我沒有請你回答請你不要講話好我就跟你講現在
transcript.whisperx[6].start 155.069
transcript.whisperx[6].end 171.17
transcript.whisperx[6].text 世衛組織世衛大會我們的態度到底怎麼樣因為美國剛好推出了62個國際組織第一個全中國在WHOWHO跟它有關係的年度大會WHA
transcript.whisperx[7].start 173.035
transcript.whisperx[7].end 201.537
transcript.whisperx[7].text 我們就沒辦法參加這個當然很遺憾啦老共的打壓我們覺得是NO不接受老共的打壓這沒有問題但是這個就是凸顯的一個東西凸顯的一個東西是什麼凸顯的東西是林鄒元第一次開始那時候蔡英文當總統的時候她是用潛入台北參加這個世衛的大會世衛的大會很清楚看得到
transcript.whisperx[8].start 202.557
transcript.whisperx[8].end 227.724
transcript.whisperx[8].text 那是什麼兩岸關係可以這個無際關係就可以來來拓展我們的國際空間就可以來拓展很清楚的看得到以現在來講的話呢就變成兩岸關係越來越糟所以我們國際組織我們根本就沒辦法參加來院長你講一下兩岸關係不好責任難道都全部在我們嗎
transcript.whisperx[9].start 229.341
transcript.whisperx[9].end 257.114
transcript.whisperx[9].text 對方軍機軍艦經常累月了台灣海周遭四處圍繞這個您難道沒有一點感受嗎這個東西啊銅板沒有兩個打不響啦我們有去他家講嗎我們對他不好所以兩個就不好起來了滿久時候好來好去就不一樣來這個都不是我還要問的重點我要問的重點在於剛才你提到的楊振寧請問楊振寧現在在哪裡在江蘇啊
transcript.whisperx[10].start 257.762
transcript.whisperx[10].end 281.31
transcript.whisperx[10].text 在江蘇 在大陸 做什麼事參加IPEC的會情會IPEC什麼時候舉行請問院長 IPEC什麼大會IPEC正式大會什麼時候舉行這就是部長級會議他最後的最後是11月底要在深圳舉行現在是部長級會議楊振尼參加部長級的會議
transcript.whisperx[11].start 289.192
transcript.whisperx[11].end 307.083
transcript.whisperx[11].text 老公哪裡說你要參加這個APEC要在一中原則跟APEC相關的諒解備忘錄的前提下才可以參加你不接受你去囉你不接受了嗎
transcript.whisperx[12].start 308.769
transcript.whisperx[12].end 325.965
transcript.whisperx[12].text 今天的WHA也是這樣的一個原則老實講WHA也是潛意識台配現在APEC也是潛意識台配為什麼APEC我們就可以去WHA我們去不了為什麼查理多維你告訴我看他有沒有發邀請函來
transcript.whisperx[13].start 330.703
transcript.whisperx[13].end 347.271
transcript.whisperx[13].text 少不了錢我們的名稱有沒有當然沒有啊沒有要去爭取啊APEC有啊什麼東西APEC有發邀請函來他就寫喔他是一中原則喔所以你接受他有發邀請函來你接受是不是請問來院長你接受嗎
transcript.whisperx[14].start 347.671
transcript.whisperx[14].end 348.152
transcript.whisperx[14].text 所以中國常常搞這種小動作你也知道
transcript.whisperx[15].start 364.234
transcript.whisperx[15].end 392.503
transcript.whisperx[15].text 因為他的搞小動作我們經常要做在一種非常抗議嚴正的態度底下去參加各種國際會議這就是台灣今天的處境參加比台灣的國際空間很辛苦大家都知道但是參加比什麼都重要今天如果沒有參加我們奧運也不能打啊什麼地方都不能去我們可以在你先不要講我沒跟你講我們在抗議底下我們去就可以這個態度就是對的我現在跟你強調是這個參加比什麼都重要讓台灣
transcript.whisperx[16].start 393.923
transcript.whisperx[16].end 404.371
transcript.whisperx[16].text 我們在醫療方面在今天的APEC在經貿方面的成就讓世界看得到我們的努力讓世界看得到這個沒有人反對他有的發邀請函有的不發啊他也沒有原則啊
transcript.whisperx[17].start 409.462
transcript.whisperx[17].end 431.693
transcript.whisperx[17].text 他有發 我們也可以不要去啊你靠keeping就不要去啊靠keeping就不要去 你說他上面是一種原則啊委員的建議我們都聽到了我說靠keeping就不要去 對吧他都想一種原則啊跟APEC諒解別人的路啊你就不要接受對不對 你去的就是接受我們不接受這種小動作啦我們要照國際組織的規範像奧會模式去奧會模式各種國際組織規範我們都遵守
transcript.whisperx[18].start 436.3
transcript.whisperx[18].end 449.555
transcript.whisperx[18].text 所以你樂見我們參加APEC了我們在國際組織規範裡面去參加對任何中方的小動作我們都要嚴正的提出態度院長我這樣講我再講一個我禮拜二講的啦
transcript.whisperx[19].start 450.829
transcript.whisperx[19].end 474.879
transcript.whisperx[19].text 亞洲開發銀行ADB我們是創始會員股叫ROC啊被改成台北卡馬遷啊叫中國台北我們還是去啊錢照交 你知道一年交多少錢嗎會員會員會員知道我寫嗎一百萬美金嘛我們一年交一百萬美金啦名稱你被挨花啊
transcript.whisperx[20].start 476.155
transcript.whisperx[20].end 497.191
transcript.whisperx[20].text 但是要不要去 還是要去啊國際空間 我們創始會員國就是我們是會員國之一創始的 結果怎麼把我們這樣子呢但是還是要去 有去才有聲音沒有去 沒有聲音今天的APEC 今天你派人家去是對的
transcript.whisperx[21].start 499.811
transcript.whisperx[21].end 526.927
transcript.whisperx[21].text 是對的 年底11月也要參加深圳的大會這個參加比什麼都重要我們的聲音聽得見嗎同樣的 現在來講聲音我就問院長川普總統說要打電話給賴總統有打了嗎有收到沒有他不會打到行政院來我不知道所以你不知道 所以你出發前你出發前 他沒有打給賴總統吧
transcript.whisperx[22].start 530.27
transcript.whisperx[22].end 539.569
transcript.whisperx[22].text 到現在還沒有任何的訊息那他們講的海軍他們的海軍代理部長說沒有了沒有140億美金了 確定嗎
transcript.whisperx[23].start 542.435
transcript.whisperx[23].end 564.78
transcript.whisperx[23].text 我們有注意到各種的發言在這個發言之後還有多次其他不一樣這個內容的發言也都是在支持繼續來執行140億的軍售就在海軍代理部長之後的發言還是有其他的發言我們會陸續持續觀察回到我們這兩天大家很多的看法
transcript.whisperx[24].start 565.851
transcript.whisperx[24].end 588.742
transcript.whisperx[24].text 很多人看法就是說 今天如果川普總統可以打電話給賴總統 這個是外交戰 這突破 外交戰 加分但是又問 講啥 講說害誰 我不賣武器給你了 這個扣分打電話是加分 說不賣武器給你 這個是大扣分那現在看起來這兩個都沒有
transcript.whisperx[25].start 590.342
transcript.whisperx[25].end 609.551
transcript.whisperx[25].text 就是說他沒有打電話然後也不賣了啊這是最壞的結果就如果要說因為不賣了所以打電話就說抱歉喔最少外交還加一點分就像外交也沒有加分然後呢 全國也沒有這對我們傷害很大耶 院長對我們傷害很大 你要不要講一下
transcript.whisperx[26].start 610.732
transcript.whisperx[26].end 633.809
transcript.whisperx[26].text 委員跟我都沒有辦法在這裡揣測川普總統什麼時候會打什麼電話來談什麼事情我們都無法揣測所以也不必要在這裡公開說所以到目前為止沒有打電話嗎我沒有得到任何訊息沒有嘛 到目前為止美國的海軍代理部長說140億美金的軍售台灣 沒有了
transcript.whisperx[27].start 634.676
transcript.whisperx[27].end 648.462
transcript.whisperx[27].text 我們有注意到這個發言但是我們更注意到其後很多不同的發言也在支持繼續執行這項軍售的發言也有來我們來看齁這個衛福部次長在這裡也要讓你表現一下來看到電子菸齁
transcript.whisperx[28].start 650.516
transcript.whisperx[28].end 666.407
transcript.whisperx[28].text 電子煙現在不合法嘛對吧電子煙不合法不合法 加熱也是合法加熱煙那個頭那個煙在上面 加熱煙電子煙是沒有的齁電子煙是化學物還有法學東西齁就叫賭架變成你看到你的小孩
transcript.whisperx[29].start 669.008
transcript.whisperx[29].end 678.411
transcript.whisperx[29].text 2024年比2023年成長的731%叫獨家的肇事成長731%造成15個死亡90個傷亡2025年年增率227%死掉16個傷了200多個很嚴重
transcript.whisperx[30].start 690.345
transcript.whisperx[30].end 710.501
transcript.whisperx[30].text 去年的時候 獨家時間8500多件 今年1月份1200多件2月份將近900件 3月份1100件 所以今年絕對破萬面臨這樣的事情有一個很重要的 我就很具體的很具體的聚焦在一個地方 這個地方是什麼
transcript.whisperx[31].start 711.977
transcript.whisperx[31].end 733.909
transcript.whisperx[31].text 有些人駕駛的時候 旁邊放一個電磁炎 不合法喔 你看了不起眼 好 輸血 輸血 輸血很像吸鴉片一樣 洗一下 精神很好 繼續開警察在交通檢查的時候 檢查就沒有去管他 我就問一個問題 外務部我們要不要一起來努力 我們立法院願意支持
transcript.whisperx[32].start 735.938
transcript.whisperx[32].end 759.466
transcript.whisperx[32].text 電子菸的載具如果警方看到了目錄電子菸的載具本來就是非法的啊 本來就違法啊好 那我就告訴我告訴院長齁這個次長你不知道地方衛生局本來就可以查處了這個是員警跟我陳情的員警跟我陳情說現在沒有法
transcript.whisperx[33].start 761.155
transcript.whisperx[33].end 768.9
transcript.whisperx[33].text 他們在執行說要酒駕的時候 旁邊看到電子煙的載具他不能沒錄 因為法沒有說可以沒錄
transcript.whisperx[34].start 769.81
transcript.whisperx[34].end 797.92
transcript.whisperx[34].text 我們有規劃要修煙害防治法我們把它沒錄可以嗎我們現在正在規劃加強煙害防治法煙害防治法我會來修要沒錄只要你發現就沒錄這個影響很大影響很大那我看到這個院長對於大麻的看法要不要再重申一遍你是不是反對在台灣大麻合法化是不是
transcript.whisperx[35].start 798.732
transcript.whisperx[35].end 818.505
transcript.whisperx[35].text 大麻合法化台灣現在我認為要討論這個要得到社會很大的共識目前這個討論的空間我個人認為還並不存在大麻合法化的問題因為我來做功課了卓榮泰強烈的表達反對大麻合法化
transcript.whisperx[36].start 820.517
transcript.whisperx[36].end 847.7
transcript.whisperx[36].text 你講這一句話我是給你肯定的因為貴黨很多人在推動大麻要合法化我覺得社會的共識還沒有達到那樣子而且也不需要很多的綠營民進黨人士在推大麻合法化這個我們強烈反對那你的話我再把它再repeat一遍這個值得肯定我們希望你繼續堅持來我們來看搶救少子化你知道我們一年預算變多少才少子化嗎
transcript.whisperx[37].start 848.721
transcript.whisperx[37].end 873.63
transcript.whisperx[37].text 一年變多少?預算目前來看也是一千多億一千兩百多億結果去年人口有多少?去年出生人口有多少?你知道嗎?十萬七千多十萬多啊!錢花一千兩百多億結果呢?十萬啊!還不到死亡人數的一半欸!很可憐欸!講給台灣快要亡國變這個樣子啊
transcript.whisperx[38].start 874.881
transcript.whisperx[38].end 900.695
transcript.whisperx[38].text 所以我們必須要有一個新的對策對策 你那個加五千那個東西那個方向沒有人分對大方向我們要努力大方向我們努力 但是有幾個要考慮第一個 一年要兩千億每一年要兩千億 你要錢怎麼來你要不要講一下錢怎麼來兩千億的錢怎麼來你明年開始實施 兩千億怎麼來 你告訴我
transcript.whisperx[39].start 902.2
transcript.whisperx[39].end 928.537
transcript.whisperx[39].text 我們在考慮這個政策對策的時候我們當然有考慮到國家財政的結構跟能力你回答很簡單 他們增加 增加了五千億就有了 兩千億在哪裡啊你說 哼 這在哪裡兩千億有啊 怎麼沒有錢但是對於我們的一些的比較辛苦的 弱勢的這個家庭其實這一部分都沒問題啦所以我提個很大膽的啦老實講 這個這些政策 比如說
transcript.whisperx[40].start 929.878
transcript.whisperx[40].end 938.032
transcript.whisperx[40].text 神一台給一百萬啦這更好啦認真思考啦那更要考慮財政問題我算過沒有多少錢