iVOD / 167446

Field Value
IVOD_ID 167446
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167446
日期 2026-03-06
會議資料.會議代碼 院會-11-5-2
會議資料.會議代碼:str 第11屆第5會期第2次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 2
會議資料.種類 院會
會議資料.標題 第11屆第5會期第2次會議
影片種類 Clip
開始時間 2026-03-06T15:19:46+08:00
結束時間 2026-03-06T15:50:34+08:00
影片長度 00:30:48
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/069b6d8508d76ca2e62009a575ec4447e4c52df1c0c8e14e0d75a17574bca053e391b23e5ee14c115ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 15:19:46 - 15:50:34
會議時間 2026-03-06T09:00:00+08:00
會議名稱 第11屆第5會期第2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、3月6日上午9時至10時為國是論壇時間。三、3月10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_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.63846875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 11.97846875
transcript.pyannote[1].end 15.25221875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 15.92721875
transcript.pyannote[2].end 17.05784375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 17.14221875
transcript.pyannote[3].end 18.01971875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 18.01971875
transcript.pyannote[4].end 18.10409375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 18.10409375
transcript.pyannote[5].end 18.12096875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 18.12096875
transcript.pyannote[6].end 18.15471875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 18.15471875
transcript.pyannote[7].end 19.01534375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 19.06596875
transcript.pyannote[8].end 19.58909375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 21.14159375
transcript.pyannote[9].end 22.74471875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 22.96409375
transcript.pyannote[10].end 23.03159375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 23.28471875
transcript.pyannote[11].end 23.97659375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 24.19596875
transcript.pyannote[12].end 25.46159375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 28.95471875
transcript.pyannote[13].end 31.72221875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 31.72221875
transcript.pyannote[14].end 31.73909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 31.73909375
transcript.pyannote[15].end 31.97534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 31.97534375
transcript.pyannote[16].end 32.02596875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 32.90346875
transcript.pyannote[17].end 36.17721875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 37.32471875
transcript.pyannote[18].end 39.11346875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 39.45096875
transcript.pyannote[19].end 41.32409375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 41.56034375
transcript.pyannote[20].end 44.17596875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 45.50909375
transcript.pyannote[21].end 49.94721875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 50.21721875
transcript.pyannote[22].end 53.79471875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 53.11971875
transcript.pyannote[23].end 55.63409375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 54.67221875
transcript.pyannote[24].end 55.71846875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 56.34284375
transcript.pyannote[25].end 57.33846875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 57.64221875
transcript.pyannote[26].end 61.45596875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 62.19846875
transcript.pyannote[27].end 62.65409375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 63.21096875
transcript.pyannote[28].end 64.02096875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 64.13909375
transcript.pyannote[29].end 66.50159375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 67.54784375
transcript.pyannote[30].end 69.35346875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 69.69096875
transcript.pyannote[31].end 74.17971875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 75.27659375
transcript.pyannote[32].end 77.31846875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 77.90909375
transcript.pyannote[33].end 85.06409375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 86.07659375
transcript.pyannote[34].end 95.44221875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 95.52659375
transcript.pyannote[35].end 103.18784375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 103.47471875
transcript.pyannote[36].end 104.40284375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 105.06096875
transcript.pyannote[37].end 112.26659375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 112.24971875
transcript.pyannote[38].end 113.58284375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 114.03846875
transcript.pyannote[39].end 117.56534375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 116.67096875
transcript.pyannote[40].end 120.36659375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 120.80534375
transcript.pyannote[41].end 122.74596875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 122.32409375
transcript.pyannote[42].end 124.55159375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 124.65284375
transcript.pyannote[43].end 126.03659375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 126.18846875
transcript.pyannote[44].end 127.96034375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 129.07409375
transcript.pyannote[45].end 132.53346875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 133.19159375
transcript.pyannote[46].end 136.09409375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 136.61721875
transcript.pyannote[47].end 141.62909375
transcript.pyannote[48].speaker SPEAKER_08
transcript.pyannote[48].start 141.62909375
transcript.pyannote[48].end 141.71346875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 141.71346875
transcript.pyannote[49].end 145.39221875
transcript.pyannote[50].speaker SPEAKER_08
transcript.pyannote[50].start 141.74721875
transcript.pyannote[50].end 141.79784375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 141.79784375
transcript.pyannote[51].end 142.32096875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 145.39221875
transcript.pyannote[52].end 158.36909375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 145.40909375
transcript.pyannote[53].end 146.18534375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 155.77034375
transcript.pyannote[54].end 158.40284375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 158.40284375
transcript.pyannote[55].end 158.43659375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 158.43659375
transcript.pyannote[56].end 165.35534375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 165.52409375
transcript.pyannote[57].end 170.94096875
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 169.72596875
transcript.pyannote[58].end 170.02971875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 170.08034375
transcript.pyannote[59].end 170.09721875
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 170.16471875
transcript.pyannote[60].end 170.92409375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 170.92409375
transcript.pyannote[61].end 172.17284375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 170.94096875
transcript.pyannote[62].end 170.95784375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 172.17284375
transcript.pyannote[63].end 172.18971875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 172.18971875
transcript.pyannote[64].end 172.24034375
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 172.24034375
transcript.pyannote[65].end 172.44284375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 172.44284375
transcript.pyannote[66].end 172.45971875
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 172.45971875
transcript.pyannote[67].end 172.51034375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 172.51034375
transcript.pyannote[68].end 172.54409375
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 172.54409375
transcript.pyannote[69].end 175.36221875
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 175.73346875
transcript.pyannote[70].end 177.23534375
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 177.60659375
transcript.pyannote[71].end 180.59346875
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 180.93096875
transcript.pyannote[72].end 188.98034375
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 189.35159375
transcript.pyannote[73].end 193.84034375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 193.84034375
transcript.pyannote[74].end 197.43471875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 198.07596875
transcript.pyannote[75].end 206.09159375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 206.81721875
transcript.pyannote[76].end 217.38096875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 217.38096875
transcript.pyannote[77].end 219.11909375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 217.81971875
transcript.pyannote[78].end 229.96971875
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 219.11909375
transcript.pyannote[79].end 219.33846875
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 219.70971875
transcript.pyannote[80].end 221.14409375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 222.20721875
transcript.pyannote[81].end 222.61221875
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 223.25346875
transcript.pyannote[82].end 224.50221875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 229.96971875
transcript.pyannote[83].end 230.30721875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 230.30721875
transcript.pyannote[84].end 230.35784375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 230.76284375
transcript.pyannote[85].end 233.05784375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 233.59784375
transcript.pyannote[86].end 245.49471875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 238.00221875
transcript.pyannote[87].end 239.60534375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 247.13159375
transcript.pyannote[88].end 248.48159375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 248.68409375
transcript.pyannote[89].end 250.40534375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 250.50659375
transcript.pyannote[90].end 251.82284375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 252.07596875
transcript.pyannote[91].end 253.49346875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 253.94909375
transcript.pyannote[92].end 255.07971875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 255.07971875
transcript.pyannote[93].end 266.97659375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 257.91471875
transcript.pyannote[94].end 258.58971875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 258.79221875
transcript.pyannote[95].end 259.90596875
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 266.97659375
transcript.pyannote[96].end 280.05471875
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 280.62846875
transcript.pyannote[97].end 282.99096875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 282.99096875
transcript.pyannote[98].end 292.28909375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 283.05846875
transcript.pyannote[99].end 283.48034375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 291.95159375
transcript.pyannote[100].end 295.64721875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 293.67284375
transcript.pyannote[101].end 293.92596875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 295.86659375
transcript.pyannote[102].end 297.43596875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 297.92534375
transcript.pyannote[103].end 298.48221875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 299.00534375
transcript.pyannote[104].end 299.35971875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 300.52409375
transcript.pyannote[105].end 300.97971875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 301.63784375
transcript.pyannote[106].end 305.26596875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 306.09284375
transcript.pyannote[107].end 309.16409375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 309.51846875
transcript.pyannote[108].end 314.24346875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 309.63659375
transcript.pyannote[109].end 309.92346875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 309.95721875
transcript.pyannote[110].end 309.97409375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 314.93534375
transcript.pyannote[111].end 316.69034375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 317.06159375
transcript.pyannote[112].end 322.61346875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 322.69784375
transcript.pyannote[113].end 335.45534375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 333.68346875
transcript.pyannote[114].end 341.07471875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 342.13784375
transcript.pyannote[115].end 343.75784375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 344.02784375
transcript.pyannote[116].end 347.52096875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 347.90909375
transcript.pyannote[117].end 351.77346875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 352.22909375
transcript.pyannote[118].end 353.22471875
transcript.pyannote[119].speaker SPEAKER_08
transcript.pyannote[119].start 353.25846875
transcript.pyannote[119].end 353.57909375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 353.54534375
transcript.pyannote[120].end 354.35534375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 354.91221875
transcript.pyannote[121].end 356.73471875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 357.22409375
transcript.pyannote[122].end 358.28721875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 359.24909375
transcript.pyannote[123].end 362.59034375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 363.23159375
transcript.pyannote[124].end 365.45909375
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 365.64471875
transcript.pyannote[125].end 367.43346875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 367.02846875
transcript.pyannote[126].end 373.47471875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 368.17596875
transcript.pyannote[127].end 368.69909375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 373.76159375
transcript.pyannote[128].end 378.48659375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 378.79034375
transcript.pyannote[129].end 381.33846875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 381.49034375
transcript.pyannote[130].end 383.39721875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 383.78534375
transcript.pyannote[131].end 422.27721875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 419.27346875
transcript.pyannote[132].end 419.86409375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 422.36159375
transcript.pyannote[133].end 422.71596875
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 422.81721875
transcript.pyannote[134].end 423.35721875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 423.67784375
transcript.pyannote[135].end 424.62284375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 424.92659375
transcript.pyannote[136].end 427.59284375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 428.50409375
transcript.pyannote[137].end 428.87534375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 428.87534375
transcript.pyannote[138].end 429.61784375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 430.34346875
transcript.pyannote[139].end 431.79471875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 432.14909375
transcript.pyannote[140].end 434.46096875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 434.52846875
transcript.pyannote[141].end 435.45659375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 435.96284375
transcript.pyannote[142].end 437.12721875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 437.53221875
transcript.pyannote[143].end 441.37971875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 442.08846875
transcript.pyannote[144].end 444.01221875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 443.32034375
transcript.pyannote[145].end 450.62721875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 444.55221875
transcript.pyannote[146].end 445.53096875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 450.93096875
transcript.pyannote[147].end 454.72784375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 454.89659375
transcript.pyannote[148].end 464.93721875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 461.12346875
transcript.pyannote[149].end 462.81096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 463.95846875
transcript.pyannote[150].end 463.97534375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 463.97534375
transcript.pyannote[151].end 464.59971875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 464.59971875
transcript.pyannote[152].end 464.80221875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 464.93721875
transcript.pyannote[153].end 465.12284375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 465.12284375
transcript.pyannote[154].end 465.42659375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 465.39284375
transcript.pyannote[155].end 465.40971875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 465.40971875
transcript.pyannote[156].end 468.05909375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 465.42659375
transcript.pyannote[157].end 466.62471875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 466.62471875
transcript.pyannote[158].end 466.64159375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 468.85221875
transcript.pyannote[159].end 478.15034375
transcript.pyannote[160].speaker SPEAKER_08
transcript.pyannote[160].start 478.15034375
transcript.pyannote[160].end 478.80846875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 478.18409375
transcript.pyannote[161].end 478.26846875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 478.43721875
transcript.pyannote[162].end 480.59721875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 481.22159375
transcript.pyannote[163].end 488.24159375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 487.87034375
transcript.pyannote[164].end 487.88721875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 487.92096875
transcript.pyannote[165].end 488.02221875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 488.24159375
transcript.pyannote[166].end 488.30909375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 488.30909375
transcript.pyannote[167].end 491.09346875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 491.80221875
transcript.pyannote[168].end 495.04221875
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 495.39659375
transcript.pyannote[169].end 497.03346875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 497.74221875
transcript.pyannote[170].end 499.37909375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 499.68284375
transcript.pyannote[171].end 502.34909375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 503.41221875
transcript.pyannote[172].end 509.23409375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 510.07784375
transcript.pyannote[173].end 510.93846875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 511.37721875
transcript.pyannote[174].end 511.51221875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 511.54596875
transcript.pyannote[175].end 511.84971875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 512.37284375
transcript.pyannote[176].end 513.09846875
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 513.77346875
transcript.pyannote[177].end 514.38096875
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 514.58346875
transcript.pyannote[178].end 517.45221875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 517.75596875
transcript.pyannote[179].end 518.78534375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 519.67971875
transcript.pyannote[180].end 520.75971875
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 520.91159375
transcript.pyannote[181].end 522.51471875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 522.90284375
transcript.pyannote[182].end 524.67471875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 525.04596875
transcript.pyannote[183].end 527.69534375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 528.10034375
transcript.pyannote[184].end 529.45034375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 530.39534375
transcript.pyannote[185].end 533.33159375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 533.71971875
transcript.pyannote[186].end 534.91784375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 535.44096875
transcript.pyannote[187].end 536.97659375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 537.43221875
transcript.pyannote[188].end 539.57534375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 539.91284375
transcript.pyannote[189].end 541.81971875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 542.96721875
transcript.pyannote[190].end 544.70534375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 545.19471875
transcript.pyannote[191].end 545.88659375
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 546.62909375
transcript.pyannote[192].end 551.72534375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 551.87721875
transcript.pyannote[193].end 553.12596875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 553.34534375
transcript.pyannote[194].end 554.22284375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 554.84721875
transcript.pyannote[195].end 557.02409375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 557.29409375
transcript.pyannote[196].end 557.91846875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 558.22221875
transcript.pyannote[197].end 559.42034375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 560.07846875
transcript.pyannote[198].end 560.61846875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 561.14159375
transcript.pyannote[199].end 562.32284375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 562.96409375
transcript.pyannote[200].end 564.07784375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 564.76971875
transcript.pyannote[201].end 566.84534375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 567.35159375
transcript.pyannote[202].end 568.06034375
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 568.54971875
transcript.pyannote[203].end 569.35971875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 569.98409375
transcript.pyannote[204].end 571.06409375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 572.36346875
transcript.pyannote[205].end 574.32096875
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 574.67534375
transcript.pyannote[206].end 585.35721875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 585.98159375
transcript.pyannote[207].end 597.99659375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 598.67159375
transcript.pyannote[208].end 599.70096875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 600.57846875
transcript.pyannote[209].end 604.71284375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 605.06721875
transcript.pyannote[210].end 607.53096875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 607.91909375
transcript.pyannote[211].end 609.92721875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 610.43346875
transcript.pyannote[212].end 613.60596875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 614.26409375
transcript.pyannote[213].end 615.20909375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 615.41159375
transcript.pyannote[214].end 620.25471875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 620.42346875
transcript.pyannote[215].end 627.03846875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 627.19034375
transcript.pyannote[216].end 627.84846875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 628.06784375
transcript.pyannote[217].end 634.36221875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 629.19846875
transcript.pyannote[218].end 630.68346875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 631.79721875
transcript.pyannote[219].end 631.94909375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 631.94909375
transcript.pyannote[220].end 631.99971875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 631.99971875
transcript.pyannote[221].end 632.32034375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 634.64909375
transcript.pyannote[222].end 640.99409375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 636.50534375
transcript.pyannote[223].end 636.55596875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 636.58971875
transcript.pyannote[224].end 636.77534375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 641.11221875
transcript.pyannote[225].end 643.87971875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 644.47034375
transcript.pyannote[226].end 646.51221875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 646.91721875
transcript.pyannote[227].end 651.84471875
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 649.39784375
transcript.pyannote[228].end 649.66784375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 651.52409375
transcript.pyannote[229].end 652.31721875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 652.92471875
transcript.pyannote[230].end 655.08471875
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 655.62471875
transcript.pyannote[231].end 662.66159375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 663.08346875
transcript.pyannote[232].end 667.01534375
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 667.21784375
transcript.pyannote[233].end 671.40284375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 671.97659375
transcript.pyannote[234].end 679.84034375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 680.11034375
transcript.pyannote[235].end 682.03409375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 682.03409375
transcript.pyannote[236].end 682.32096875
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 682.32096875
transcript.pyannote[237].end 682.33784375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 682.33784375
transcript.pyannote[238].end 682.45596875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 682.45596875
transcript.pyannote[239].end 682.52346875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 682.52346875
transcript.pyannote[240].end 682.67534375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 682.67534375
transcript.pyannote[241].end 682.69221875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 682.82721875
transcript.pyannote[242].end 683.09721875
transcript.pyannote[243].speaker SPEAKER_05
transcript.pyannote[243].start 683.09721875
transcript.pyannote[243].end 683.13096875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 683.13096875
transcript.pyannote[244].end 683.16471875
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 683.75534375
transcript.pyannote[245].end 689.37471875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 689.72909375
transcript.pyannote[246].end 693.32346875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 693.55971875
transcript.pyannote[247].end 696.02346875
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 696.12471875
transcript.pyannote[248].end 701.64284375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 701.82846875
transcript.pyannote[249].end 704.41034375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 704.81534375
transcript.pyannote[250].end 708.22409375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 708.46034375
transcript.pyannote[251].end 709.75971875
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 709.77659375
transcript.pyannote[252].end 713.10096875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 713.25284375
transcript.pyannote[253].end 718.80471875
transcript.pyannote[254].speaker SPEAKER_08
transcript.pyannote[254].start 718.99034375
transcript.pyannote[254].end 719.20971875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 719.20971875
transcript.pyannote[255].end 727.22534375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 727.29284375
transcript.pyannote[256].end 732.03471875
transcript.pyannote[257].speaker SPEAKER_03
transcript.pyannote[257].start 731.30909375
transcript.pyannote[257].end 731.35971875
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 732.03471875
transcript.pyannote[258].end 735.71346875
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 736.40534375
transcript.pyannote[259].end 740.97846875
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 738.21096875
transcript.pyannote[260].end 746.49659375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 741.38346875
transcript.pyannote[261].end 741.51846875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 741.51846875
transcript.pyannote[262].end 741.73784375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 741.73784375
transcript.pyannote[263].end 741.77159375
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 745.82159375
transcript.pyannote[264].end 746.32784375
transcript.pyannote[265].speaker SPEAKER_08
transcript.pyannote[265].start 746.32784375
transcript.pyannote[265].end 746.36159375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 746.56409375
transcript.pyannote[266].end 752.72346875
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 752.87534375
transcript.pyannote[267].end 758.19096875
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 758.81534375
transcript.pyannote[268].end 763.52346875
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 760.67159375
transcript.pyannote[269].end 760.82346875
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 760.82346875
transcript.pyannote[270].end 761.24534375
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 761.24534375
transcript.pyannote[271].end 761.27909375
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 762.59534375
transcript.pyannote[272].end 767.18534375
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 768.07971875
transcript.pyannote[273].end 768.58596875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 768.72096875
transcript.pyannote[274].end 771.28596875
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 770.57721875
transcript.pyannote[275].end 777.05721875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 772.51784375
transcript.pyannote[276].end 772.83846875
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 777.15846875
transcript.pyannote[277].end 778.76159375
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 777.42846875
transcript.pyannote[278].end 779.20034375
transcript.pyannote[279].speaker SPEAKER_03
transcript.pyannote[279].start 779.97659375
transcript.pyannote[279].end 783.89159375
transcript.pyannote[280].speaker SPEAKER_04
transcript.pyannote[280].start 786.96284375
transcript.pyannote[280].end 787.45221875
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 787.45221875
transcript.pyannote[281].end 787.48596875
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 787.57034375
transcript.pyannote[282].end 788.12721875
transcript.pyannote[283].speaker SPEAKER_03
transcript.pyannote[283].start 788.88659375
transcript.pyannote[283].end 795.92346875
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 796.05846875
transcript.pyannote[284].end 796.85159375
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 797.23971875
transcript.pyannote[285].end 800.05784375
transcript.pyannote[286].speaker SPEAKER_03
transcript.pyannote[286].start 800.29409375
transcript.pyannote[286].end 801.44159375
transcript.pyannote[287].speaker SPEAKER_08
transcript.pyannote[287].start 800.34471875
transcript.pyannote[287].end 800.96909375
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 800.96909375
transcript.pyannote[288].end 801.03659375
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 801.79596875
transcript.pyannote[289].end 802.89284375
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 803.75346875
transcript.pyannote[290].end 804.41159375
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 804.81659375
transcript.pyannote[291].end 808.52909375
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 808.83284375
transcript.pyannote[292].end 812.71409375
transcript.pyannote[293].speaker SPEAKER_04
transcript.pyannote[293].start 813.32159375
transcript.pyannote[293].end 820.30784375
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 818.92409375
transcript.pyannote[294].end 819.53159375
transcript.pyannote[295].speaker SPEAKER_04
transcript.pyannote[295].start 820.81409375
transcript.pyannote[295].end 824.37471875
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 823.68284375
transcript.pyannote[296].end 826.50096875
transcript.pyannote[297].speaker SPEAKER_04
transcript.pyannote[297].start 825.38721875
transcript.pyannote[297].end 829.63971875
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 827.37846875
transcript.pyannote[298].end 828.01971875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 829.48784375
transcript.pyannote[299].end 833.11596875
transcript.pyannote[300].speaker SPEAKER_03
transcript.pyannote[300].start 833.52096875
transcript.pyannote[300].end 838.81971875
transcript.pyannote[301].speaker SPEAKER_04
transcript.pyannote[301].start 835.27596875
transcript.pyannote[301].end 836.50784375
transcript.pyannote[302].speaker SPEAKER_04
transcript.pyannote[302].start 839.03909375
transcript.pyannote[302].end 841.67159375
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 841.50284375
transcript.pyannote[303].end 841.68846875
transcript.pyannote[304].speaker SPEAKER_04
transcript.pyannote[304].start 841.68846875
transcript.pyannote[304].end 841.70534375
transcript.pyannote[305].speaker SPEAKER_03
transcript.pyannote[305].start 841.70534375
transcript.pyannote[305].end 843.25784375
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 841.77284375
transcript.pyannote[306].end 842.68409375
transcript.pyannote[307].speaker SPEAKER_03
transcript.pyannote[307].start 843.93284375
transcript.pyannote[307].end 846.21096875
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 846.86909375
transcript.pyannote[308].end 850.83471875
transcript.pyannote[309].speaker SPEAKER_04
transcript.pyannote[309].start 851.13846875
transcript.pyannote[309].end 852.31971875
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 851.34096875
transcript.pyannote[310].end 860.90909375
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 861.21284375
transcript.pyannote[311].end 861.73596875
transcript.pyannote[312].speaker SPEAKER_04
transcript.pyannote[312].start 861.26346875
transcript.pyannote[312].end 863.35596875
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 863.44034375
transcript.pyannote[313].end 865.24596875
transcript.pyannote[314].speaker SPEAKER_04
transcript.pyannote[314].start 864.43596875
transcript.pyannote[314].end 875.72534375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 865.93784375
transcript.pyannote[315].end 866.81534375
transcript.pyannote[316].speaker SPEAKER_00
transcript.pyannote[316].start 872.65409375
transcript.pyannote[316].end 872.95784375
transcript.pyannote[317].speaker SPEAKER_04
transcript.pyannote[317].start 876.16409375
transcript.pyannote[317].end 882.13784375
transcript.pyannote[318].speaker SPEAKER_08
transcript.pyannote[318].start 878.64471875
transcript.pyannote[318].end 878.93159375
transcript.pyannote[319].speaker SPEAKER_08
transcript.pyannote[319].start 881.26034375
transcript.pyannote[319].end 882.07034375
transcript.pyannote[320].speaker SPEAKER_04
transcript.pyannote[320].start 882.67784375
transcript.pyannote[320].end 886.05284375
transcript.pyannote[321].speaker SPEAKER_04
transcript.pyannote[321].start 886.06971875
transcript.pyannote[321].end 889.02284375
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 889.41096875
transcript.pyannote[322].end 893.59596875
transcript.pyannote[323].speaker SPEAKER_04
transcript.pyannote[323].start 893.68034375
transcript.pyannote[323].end 896.76846875
transcript.pyannote[324].speaker SPEAKER_04
transcript.pyannote[324].start 897.62909375
transcript.pyannote[324].end 897.73034375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 897.73034375
transcript.pyannote[325].end 906.35346875
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 907.04534375
transcript.pyannote[326].end 908.96909375
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 909.13784375
transcript.pyannote[327].end 916.93409375
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 917.35596875
transcript.pyannote[328].end 918.62159375
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 918.62159375
transcript.pyannote[329].end 918.92534375
transcript.pyannote[330].speaker SPEAKER_03
transcript.pyannote[330].start 918.92534375
transcript.pyannote[330].end 919.71846875
transcript.pyannote[331].speaker SPEAKER_04
transcript.pyannote[331].start 918.97596875
transcript.pyannote[331].end 919.39784375
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 920.56221875
transcript.pyannote[332].end 922.08096875
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 923.04284375
transcript.pyannote[333].end 928.76346875
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 928.91534375
transcript.pyannote[334].end 932.99909375
transcript.pyannote[335].speaker SPEAKER_08
transcript.pyannote[335].start 933.10034375
transcript.pyannote[335].end 933.11721875
transcript.pyannote[336].speaker SPEAKER_03
transcript.pyannote[336].start 933.11721875
transcript.pyannote[336].end 933.26909375
transcript.pyannote[337].speaker SPEAKER_08
transcript.pyannote[337].start 933.26909375
transcript.pyannote[337].end 933.42096875
transcript.pyannote[338].speaker SPEAKER_02
transcript.pyannote[338].start 933.42096875
transcript.pyannote[338].end 938.98971875
transcript.pyannote[339].speaker SPEAKER_02
transcript.pyannote[339].start 939.24284375
transcript.pyannote[339].end 942.24659375
transcript.pyannote[340].speaker SPEAKER_02
transcript.pyannote[340].start 942.70221875
transcript.pyannote[340].end 946.53284375
transcript.pyannote[341].speaker SPEAKER_02
transcript.pyannote[341].start 946.75221875
transcript.pyannote[341].end 947.74784375
transcript.pyannote[342].speaker SPEAKER_02
transcript.pyannote[342].start 948.05159375
transcript.pyannote[342].end 948.87846875
transcript.pyannote[343].speaker SPEAKER_02
transcript.pyannote[343].start 949.09784375
transcript.pyannote[343].end 950.63346875
transcript.pyannote[344].speaker SPEAKER_02
transcript.pyannote[344].start 950.85284375
transcript.pyannote[344].end 953.06346875
transcript.pyannote[345].speaker SPEAKER_02
transcript.pyannote[345].start 953.19846875
transcript.pyannote[345].end 954.76784375
transcript.pyannote[346].speaker SPEAKER_02
transcript.pyannote[346].start 955.12221875
transcript.pyannote[346].end 960.92721875
transcript.pyannote[347].speaker SPEAKER_03
transcript.pyannote[347].start 956.74221875
transcript.pyannote[347].end 957.34971875
transcript.pyannote[348].speaker SPEAKER_03
transcript.pyannote[348].start 961.50096875
transcript.pyannote[348].end 964.80846875
transcript.pyannote[349].speaker SPEAKER_03
transcript.pyannote[349].start 965.31471875
transcript.pyannote[349].end 966.96846875
transcript.pyannote[350].speaker SPEAKER_03
transcript.pyannote[350].start 967.60971875
transcript.pyannote[350].end 973.36409375
transcript.pyannote[351].speaker SPEAKER_03
transcript.pyannote[351].start 974.17409375
transcript.pyannote[351].end 974.95034375
transcript.pyannote[352].speaker SPEAKER_03
transcript.pyannote[352].start 975.42284375
transcript.pyannote[352].end 978.83159375
transcript.pyannote[353].speaker SPEAKER_03
transcript.pyannote[353].start 979.21971875
transcript.pyannote[353].end 986.30721875
transcript.pyannote[354].speaker SPEAKER_03
transcript.pyannote[354].start 986.49284375
transcript.pyannote[354].end 987.69096875
transcript.pyannote[355].speaker SPEAKER_03
transcript.pyannote[355].start 987.97784375
transcript.pyannote[355].end 1002.96284375
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 1002.96284375
transcript.pyannote[356].end 1003.11471875
transcript.pyannote[357].speaker SPEAKER_03
transcript.pyannote[357].start 1003.11471875
transcript.pyannote[357].end 1003.33409375
transcript.pyannote[358].speaker SPEAKER_02
transcript.pyannote[358].start 1003.33409375
transcript.pyannote[358].end 1003.68846875
transcript.pyannote[359].speaker SPEAKER_03
transcript.pyannote[359].start 1003.68846875
transcript.pyannote[359].end 1003.82346875
transcript.pyannote[360].speaker SPEAKER_02
transcript.pyannote[360].start 1003.82346875
transcript.pyannote[360].end 1006.01721875
transcript.pyannote[361].speaker SPEAKER_02
transcript.pyannote[361].start 1006.48971875
transcript.pyannote[361].end 1008.73409375
transcript.pyannote[362].speaker SPEAKER_02
transcript.pyannote[362].start 1008.95346875
transcript.pyannote[362].end 1011.21471875
transcript.pyannote[363].speaker SPEAKER_02
transcript.pyannote[363].start 1011.53534375
transcript.pyannote[363].end 1017.89721875
transcript.pyannote[364].speaker SPEAKER_03
transcript.pyannote[364].start 1016.34471875
transcript.pyannote[364].end 1017.74534375
transcript.pyannote[365].speaker SPEAKER_08
transcript.pyannote[365].start 1017.74534375
transcript.pyannote[365].end 1017.76221875
transcript.pyannote[366].speaker SPEAKER_03
transcript.pyannote[366].start 1017.89721875
transcript.pyannote[366].end 1018.74096875
transcript.pyannote[367].speaker SPEAKER_03
transcript.pyannote[367].start 1018.94346875
transcript.pyannote[367].end 1018.97721875
transcript.pyannote[368].speaker SPEAKER_02
transcript.pyannote[368].start 1018.97721875
transcript.pyannote[368].end 1018.99409375
transcript.pyannote[369].speaker SPEAKER_08
transcript.pyannote[369].start 1018.99409375
transcript.pyannote[369].end 1019.07846875
transcript.pyannote[370].speaker SPEAKER_03
transcript.pyannote[370].start 1019.07846875
transcript.pyannote[370].end 1023.14534375
transcript.pyannote[371].speaker SPEAKER_02
transcript.pyannote[371].start 1019.19659375
transcript.pyannote[371].end 1019.26409375
transcript.pyannote[372].speaker SPEAKER_03
transcript.pyannote[372].start 1023.73596875
transcript.pyannote[372].end 1028.57909375
transcript.pyannote[373].speaker SPEAKER_03
transcript.pyannote[373].start 1029.11909375
transcript.pyannote[373].end 1032.69659375
transcript.pyannote[374].speaker SPEAKER_03
transcript.pyannote[374].start 1033.05096875
transcript.pyannote[374].end 1033.97909375
transcript.pyannote[375].speaker SPEAKER_03
transcript.pyannote[375].start 1034.50221875
transcript.pyannote[375].end 1035.86909375
transcript.pyannote[376].speaker SPEAKER_03
transcript.pyannote[376].start 1036.20659375
transcript.pyannote[376].end 1036.69596875
transcript.pyannote[377].speaker SPEAKER_03
transcript.pyannote[377].start 1037.32034375
transcript.pyannote[377].end 1037.74221875
transcript.pyannote[378].speaker SPEAKER_03
transcript.pyannote[378].start 1038.16409375
transcript.pyannote[378].end 1040.88096875
transcript.pyannote[379].speaker SPEAKER_02
transcript.pyannote[379].start 1040.96534375
transcript.pyannote[379].end 1042.14659375
transcript.pyannote[380].speaker SPEAKER_02
transcript.pyannote[380].start 1042.41659375
transcript.pyannote[380].end 1044.93096875
transcript.pyannote[381].speaker SPEAKER_02
transcript.pyannote[381].start 1045.25159375
transcript.pyannote[381].end 1057.03034375
transcript.pyannote[382].speaker SPEAKER_02
transcript.pyannote[382].start 1057.23284375
transcript.pyannote[382].end 1057.35096875
transcript.pyannote[383].speaker SPEAKER_02
transcript.pyannote[383].start 1057.72221875
transcript.pyannote[383].end 1067.83034375
transcript.pyannote[384].speaker SPEAKER_03
transcript.pyannote[384].start 1067.83034375
transcript.pyannote[384].end 1074.83346875
transcript.pyannote[385].speaker SPEAKER_02
transcript.pyannote[385].start 1073.92221875
transcript.pyannote[385].end 1074.46221875
transcript.pyannote[386].speaker SPEAKER_03
transcript.pyannote[386].start 1075.27221875
transcript.pyannote[386].end 1078.14096875
transcript.pyannote[387].speaker SPEAKER_03
transcript.pyannote[387].start 1078.34346875
transcript.pyannote[387].end 1080.41909375
transcript.pyannote[388].speaker SPEAKER_03
transcript.pyannote[388].start 1080.92534375
transcript.pyannote[388].end 1084.82346875
transcript.pyannote[389].speaker SPEAKER_03
transcript.pyannote[389].start 1085.17784375
transcript.pyannote[389].end 1095.80909375
transcript.pyannote[390].speaker SPEAKER_02
transcript.pyannote[390].start 1095.40409375
transcript.pyannote[390].end 1104.02721875
transcript.pyannote[391].speaker SPEAKER_03
transcript.pyannote[391].start 1099.63971875
transcript.pyannote[391].end 1100.29784375
transcript.pyannote[392].speaker SPEAKER_02
transcript.pyannote[392].start 1104.22971875
transcript.pyannote[392].end 1109.02221875
transcript.pyannote[393].speaker SPEAKER_03
transcript.pyannote[393].start 1108.68471875
transcript.pyannote[393].end 1110.13596875
transcript.pyannote[394].speaker SPEAKER_03
transcript.pyannote[394].start 1110.40596875
transcript.pyannote[394].end 1121.39159375
transcript.pyannote[395].speaker SPEAKER_02
transcript.pyannote[395].start 1110.52409375
transcript.pyannote[395].end 1110.84471875
transcript.pyannote[396].speaker SPEAKER_02
transcript.pyannote[396].start 1112.07659375
transcript.pyannote[396].end 1113.03846875
transcript.pyannote[397].speaker SPEAKER_03
transcript.pyannote[397].start 1122.57284375
transcript.pyannote[397].end 1132.32659375
transcript.pyannote[398].speaker SPEAKER_03
transcript.pyannote[398].start 1132.59659375
transcript.pyannote[398].end 1133.20409375
transcript.pyannote[399].speaker SPEAKER_03
transcript.pyannote[399].start 1133.96346875
transcript.pyannote[399].end 1135.24596875
transcript.pyannote[400].speaker SPEAKER_03
transcript.pyannote[400].start 1135.70159375
transcript.pyannote[400].end 1138.09784375
transcript.pyannote[401].speaker SPEAKER_03
transcript.pyannote[401].start 1139.61659375
transcript.pyannote[401].end 1140.34221875
transcript.pyannote[402].speaker SPEAKER_03
transcript.pyannote[402].start 1141.59096875
transcript.pyannote[402].end 1147.95284375
transcript.pyannote[403].speaker SPEAKER_03
transcript.pyannote[403].start 1148.23971875
transcript.pyannote[403].end 1150.75409375
transcript.pyannote[404].speaker SPEAKER_03
transcript.pyannote[404].start 1151.51346875
transcript.pyannote[404].end 1153.31909375
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 1154.14596875
transcript.pyannote[405].end 1161.11534375
transcript.pyannote[406].speaker SPEAKER_03
transcript.pyannote[406].start 1161.40221875
transcript.pyannote[406].end 1168.43909375
transcript.pyannote[407].speaker SPEAKER_03
transcript.pyannote[407].start 1169.06346875
transcript.pyannote[407].end 1171.96596875
transcript.pyannote[408].speaker SPEAKER_02
transcript.pyannote[408].start 1171.96596875
transcript.pyannote[408].end 1172.35409375
transcript.pyannote[409].speaker SPEAKER_02
transcript.pyannote[409].start 1172.65784375
transcript.pyannote[409].end 1177.11284375
transcript.pyannote[410].speaker SPEAKER_02
transcript.pyannote[410].start 1177.33221875
transcript.pyannote[410].end 1180.80846875
transcript.pyannote[411].speaker SPEAKER_02
transcript.pyannote[411].start 1181.12909375
transcript.pyannote[411].end 1185.28034375
transcript.pyannote[412].speaker SPEAKER_02
transcript.pyannote[412].start 1185.65159375
transcript.pyannote[412].end 1187.35596875
transcript.pyannote[413].speaker SPEAKER_02
transcript.pyannote[413].start 1187.72721875
transcript.pyannote[413].end 1193.39721875
transcript.pyannote[414].speaker SPEAKER_03
transcript.pyannote[414].start 1193.88659375
transcript.pyannote[414].end 1214.23784375
transcript.pyannote[415].speaker SPEAKER_03
transcript.pyannote[415].start 1214.92971875
transcript.pyannote[415].end 1222.32096875
transcript.pyannote[416].speaker SPEAKER_02
transcript.pyannote[416].start 1217.03909375
transcript.pyannote[416].end 1217.69721875
transcript.pyannote[417].speaker SPEAKER_04
transcript.pyannote[417].start 1217.69721875
transcript.pyannote[417].end 1217.74784375
transcript.pyannote[418].speaker SPEAKER_02
transcript.pyannote[418].start 1217.74784375
transcript.pyannote[418].end 1218.76034375
transcript.pyannote[419].speaker SPEAKER_04
transcript.pyannote[419].start 1218.76034375
transcript.pyannote[419].end 1218.86159375
transcript.pyannote[420].speaker SPEAKER_04
transcript.pyannote[420].start 1218.89534375
transcript.pyannote[420].end 1218.91221875
transcript.pyannote[421].speaker SPEAKER_03
transcript.pyannote[421].start 1222.84409375
transcript.pyannote[421].end 1224.48096875
transcript.pyannote[422].speaker SPEAKER_04
transcript.pyannote[422].start 1224.81846875
transcript.pyannote[422].end 1227.46784375
transcript.pyannote[423].speaker SPEAKER_04
transcript.pyannote[423].start 1227.72096875
transcript.pyannote[423].end 1234.23471875
transcript.pyannote[424].speaker SPEAKER_04
transcript.pyannote[424].start 1234.42034375
transcript.pyannote[424].end 1239.12846875
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 1238.99346875
transcript.pyannote[425].end 1243.00971875
transcript.pyannote[426].speaker SPEAKER_03
transcript.pyannote[426].start 1243.46534375
transcript.pyannote[426].end 1244.19096875
transcript.pyannote[427].speaker SPEAKER_03
transcript.pyannote[427].start 1244.73096875
transcript.pyannote[427].end 1247.36346875
transcript.pyannote[428].speaker SPEAKER_03
transcript.pyannote[428].start 1247.83596875
transcript.pyannote[428].end 1251.86909375
transcript.pyannote[429].speaker SPEAKER_03
transcript.pyannote[429].start 1252.42596875
transcript.pyannote[429].end 1253.37096875
transcript.pyannote[430].speaker SPEAKER_03
transcript.pyannote[430].start 1253.77596875
transcript.pyannote[430].end 1256.83034375
transcript.pyannote[431].speaker SPEAKER_02
transcript.pyannote[431].start 1256.98221875
transcript.pyannote[431].end 1260.79596875
transcript.pyannote[432].speaker SPEAKER_03
transcript.pyannote[432].start 1258.97346875
transcript.pyannote[432].end 1259.07471875
transcript.pyannote[433].speaker SPEAKER_07
transcript.pyannote[433].start 1259.07471875
transcript.pyannote[433].end 1259.49659375
transcript.pyannote[434].speaker SPEAKER_03
transcript.pyannote[434].start 1259.49659375
transcript.pyannote[434].end 1259.53034375
transcript.pyannote[435].speaker SPEAKER_03
transcript.pyannote[435].start 1259.58096875
transcript.pyannote[435].end 1259.96909375
transcript.pyannote[436].speaker SPEAKER_07
transcript.pyannote[436].start 1260.45846875
transcript.pyannote[436].end 1313.14221875
transcript.pyannote[437].speaker SPEAKER_00
transcript.pyannote[437].start 1297.88721875
transcript.pyannote[437].end 1298.46096875
transcript.pyannote[438].speaker SPEAKER_00
transcript.pyannote[438].start 1301.17784375
transcript.pyannote[438].end 1301.85284375
transcript.pyannote[439].speaker SPEAKER_00
transcript.pyannote[439].start 1302.42659375
transcript.pyannote[439].end 1303.35471875
transcript.pyannote[440].speaker SPEAKER_03
transcript.pyannote[440].start 1314.18846875
transcript.pyannote[440].end 1314.74534375
transcript.pyannote[441].speaker SPEAKER_03
transcript.pyannote[441].start 1314.82971875
transcript.pyannote[441].end 1317.64784375
transcript.pyannote[442].speaker SPEAKER_03
transcript.pyannote[442].start 1317.93471875
transcript.pyannote[442].end 1319.99346875
transcript.pyannote[443].speaker SPEAKER_03
transcript.pyannote[443].start 1320.43221875
transcript.pyannote[443].end 1321.52909375
transcript.pyannote[444].speaker SPEAKER_03
transcript.pyannote[444].start 1322.40659375
transcript.pyannote[444].end 1323.62159375
transcript.pyannote[445].speaker SPEAKER_04
transcript.pyannote[445].start 1324.16159375
transcript.pyannote[445].end 1325.00534375
transcript.pyannote[446].speaker SPEAKER_03
transcript.pyannote[446].start 1325.00534375
transcript.pyannote[446].end 1329.39284375
transcript.pyannote[447].speaker SPEAKER_03
transcript.pyannote[447].start 1329.56159375
transcript.pyannote[447].end 1330.40534375
transcript.pyannote[448].speaker SPEAKER_03
transcript.pyannote[448].start 1331.11409375
transcript.pyannote[448].end 1333.72971875
transcript.pyannote[449].speaker SPEAKER_03
transcript.pyannote[449].start 1334.82659375
transcript.pyannote[449].end 1337.52659375
transcript.pyannote[450].speaker SPEAKER_03
transcript.pyannote[450].start 1337.81346875
transcript.pyannote[450].end 1342.26846875
transcript.pyannote[451].speaker SPEAKER_08
transcript.pyannote[451].start 1342.42034375
transcript.pyannote[451].end 1342.92659375
transcript.pyannote[452].speaker SPEAKER_03
transcript.pyannote[452].start 1342.82534375
transcript.pyannote[452].end 1345.15409375
transcript.pyannote[453].speaker SPEAKER_03
transcript.pyannote[453].start 1345.77846875
transcript.pyannote[453].end 1347.06096875
transcript.pyannote[454].speaker SPEAKER_03
transcript.pyannote[454].start 1348.98471875
transcript.pyannote[454].end 1354.75596875
transcript.pyannote[455].speaker SPEAKER_03
transcript.pyannote[455].start 1355.04284375
transcript.pyannote[455].end 1361.55659375
transcript.pyannote[456].speaker SPEAKER_03
transcript.pyannote[456].start 1361.60721875
transcript.pyannote[456].end 1364.39159375
transcript.pyannote[457].speaker SPEAKER_03
transcript.pyannote[457].start 1364.61096875
transcript.pyannote[457].end 1365.15096875
transcript.pyannote[458].speaker SPEAKER_03
transcript.pyannote[458].start 1365.33659375
transcript.pyannote[458].end 1366.16346875
transcript.pyannote[459].speaker SPEAKER_03
transcript.pyannote[459].start 1366.24784375
transcript.pyannote[459].end 1367.81721875
transcript.pyannote[460].speaker SPEAKER_03
transcript.pyannote[460].start 1368.52596875
transcript.pyannote[460].end 1369.03221875
transcript.pyannote[461].speaker SPEAKER_03
transcript.pyannote[461].start 1369.23471875
transcript.pyannote[461].end 1370.65221875
transcript.pyannote[462].speaker SPEAKER_04
transcript.pyannote[462].start 1371.39471875
transcript.pyannote[462].end 1371.46221875
transcript.pyannote[463].speaker SPEAKER_03
transcript.pyannote[463].start 1371.46221875
transcript.pyannote[463].end 1373.16659375
transcript.pyannote[464].speaker SPEAKER_03
transcript.pyannote[464].start 1373.82471875
transcript.pyannote[464].end 1375.05659375
transcript.pyannote[465].speaker SPEAKER_03
transcript.pyannote[465].start 1375.69784375
transcript.pyannote[465].end 1380.57471875
transcript.pyannote[466].speaker SPEAKER_03
transcript.pyannote[466].start 1381.23284375
transcript.pyannote[466].end 1381.80659375
transcript.pyannote[467].speaker SPEAKER_03
transcript.pyannote[467].start 1382.09346875
transcript.pyannote[467].end 1384.47284375
transcript.pyannote[468].speaker SPEAKER_03
transcript.pyannote[468].start 1384.96221875
transcript.pyannote[468].end 1385.95784375
transcript.pyannote[469].speaker SPEAKER_03
transcript.pyannote[469].start 1386.41346875
transcript.pyannote[469].end 1386.75096875
transcript.pyannote[470].speaker SPEAKER_03
transcript.pyannote[470].start 1387.30784375
transcript.pyannote[470].end 1387.84784375
transcript.pyannote[471].speaker SPEAKER_03
transcript.pyannote[471].start 1388.16846875
transcript.pyannote[471].end 1389.36659375
transcript.pyannote[472].speaker SPEAKER_03
transcript.pyannote[472].start 1390.10909375
transcript.pyannote[472].end 1391.93159375
transcript.pyannote[473].speaker SPEAKER_03
transcript.pyannote[473].start 1392.43784375
transcript.pyannote[473].end 1394.42909375
transcript.pyannote[474].speaker SPEAKER_03
transcript.pyannote[474].start 1394.98596875
transcript.pyannote[474].end 1396.58909375
transcript.pyannote[475].speaker SPEAKER_03
transcript.pyannote[475].start 1396.82534375
transcript.pyannote[475].end 1398.34409375
transcript.pyannote[476].speaker SPEAKER_03
transcript.pyannote[476].start 1398.69846875
transcript.pyannote[476].end 1399.52534375
transcript.pyannote[477].speaker SPEAKER_03
transcript.pyannote[477].start 1399.93034375
transcript.pyannote[477].end 1407.11909375
transcript.pyannote[478].speaker SPEAKER_03
transcript.pyannote[478].start 1407.25409375
transcript.pyannote[478].end 1409.85284375
transcript.pyannote[479].speaker SPEAKER_03
transcript.pyannote[479].start 1409.93721875
transcript.pyannote[479].end 1416.88971875
transcript.pyannote[480].speaker SPEAKER_03
transcript.pyannote[480].start 1417.39596875
transcript.pyannote[480].end 1417.85159375
transcript.pyannote[481].speaker SPEAKER_04
transcript.pyannote[481].start 1417.95284375
transcript.pyannote[481].end 1418.00346875
transcript.pyannote[482].speaker SPEAKER_02
transcript.pyannote[482].start 1418.00346875
transcript.pyannote[482].end 1418.05409375
transcript.pyannote[483].speaker SPEAKER_08
transcript.pyannote[483].start 1418.05409375
transcript.pyannote[483].end 1418.10471875
transcript.pyannote[484].speaker SPEAKER_02
transcript.pyannote[484].start 1418.10471875
transcript.pyannote[484].end 1418.13846875
transcript.pyannote[485].speaker SPEAKER_03
transcript.pyannote[485].start 1418.98221875
transcript.pyannote[485].end 1419.43784375
transcript.pyannote[486].speaker SPEAKER_08
transcript.pyannote[486].start 1420.29846875
transcript.pyannote[486].end 1420.31534375
transcript.pyannote[487].speaker SPEAKER_02
transcript.pyannote[487].start 1420.31534375
transcript.pyannote[487].end 1428.24659375
transcript.pyannote[488].speaker SPEAKER_03
transcript.pyannote[488].start 1421.20971875
transcript.pyannote[488].end 1422.03659375
transcript.pyannote[489].speaker SPEAKER_03
transcript.pyannote[489].start 1422.18846875
transcript.pyannote[489].end 1423.43721875
transcript.pyannote[490].speaker SPEAKER_03
transcript.pyannote[490].start 1423.89284375
transcript.pyannote[490].end 1424.21346875
transcript.pyannote[491].speaker SPEAKER_03
transcript.pyannote[491].start 1427.09909375
transcript.pyannote[491].end 1428.39846875
transcript.pyannote[492].speaker SPEAKER_03
transcript.pyannote[492].start 1428.53346875
transcript.pyannote[492].end 1429.63034375
transcript.pyannote[493].speaker SPEAKER_03
transcript.pyannote[493].start 1429.79909375
transcript.pyannote[493].end 1430.33909375
transcript.pyannote[494].speaker SPEAKER_03
transcript.pyannote[494].start 1430.76096875
transcript.pyannote[494].end 1431.40221875
transcript.pyannote[495].speaker SPEAKER_00
transcript.pyannote[495].start 1431.55409375
transcript.pyannote[495].end 1433.10659375
transcript.pyannote[496].speaker SPEAKER_03
transcript.pyannote[496].start 1441.08846875
transcript.pyannote[496].end 1444.09221875
transcript.pyannote[497].speaker SPEAKER_03
transcript.pyannote[497].start 1444.49721875
transcript.pyannote[497].end 1444.83471875
transcript.pyannote[498].speaker SPEAKER_06
transcript.pyannote[498].start 1444.83471875
transcript.pyannote[498].end 1444.85159375
transcript.pyannote[499].speaker SPEAKER_03
transcript.pyannote[499].start 1445.49284375
transcript.pyannote[499].end 1447.70346875
transcript.pyannote[500].speaker SPEAKER_03
transcript.pyannote[500].start 1448.10846875
transcript.pyannote[500].end 1448.58096875
transcript.pyannote[501].speaker SPEAKER_03
transcript.pyannote[501].start 1449.07034375
transcript.pyannote[501].end 1449.91409375
transcript.pyannote[502].speaker SPEAKER_03
transcript.pyannote[502].start 1450.67346875
transcript.pyannote[502].end 1456.73159375
transcript.pyannote[503].speaker SPEAKER_02
transcript.pyannote[503].start 1456.00596875
transcript.pyannote[503].end 1459.17846875
transcript.pyannote[504].speaker SPEAKER_03
transcript.pyannote[504].start 1459.24596875
transcript.pyannote[504].end 1462.46909375
transcript.pyannote[505].speaker SPEAKER_03
transcript.pyannote[505].start 1463.05971875
transcript.pyannote[505].end 1465.18596875
transcript.pyannote[506].speaker SPEAKER_03
transcript.pyannote[506].start 1465.55721875
transcript.pyannote[506].end 1467.10971875
transcript.pyannote[507].speaker SPEAKER_03
transcript.pyannote[507].start 1467.51471875
transcript.pyannote[507].end 1470.31596875
transcript.pyannote[508].speaker SPEAKER_03
transcript.pyannote[508].start 1471.39596875
transcript.pyannote[508].end 1473.01596875
transcript.pyannote[509].speaker SPEAKER_03
transcript.pyannote[509].start 1473.64034375
transcript.pyannote[509].end 1474.95659375
transcript.pyannote[510].speaker SPEAKER_03
transcript.pyannote[510].start 1475.56409375
transcript.pyannote[510].end 1478.53409375
transcript.pyannote[511].speaker SPEAKER_03
transcript.pyannote[511].start 1479.09096875
transcript.pyannote[511].end 1481.79096875
transcript.pyannote[512].speaker SPEAKER_03
transcript.pyannote[512].start 1482.29721875
transcript.pyannote[512].end 1482.88784375
transcript.pyannote[513].speaker SPEAKER_03
transcript.pyannote[513].start 1483.41096875
transcript.pyannote[513].end 1484.99721875
transcript.pyannote[514].speaker SPEAKER_03
transcript.pyannote[514].start 1485.75659375
transcript.pyannote[514].end 1487.05596875
transcript.pyannote[515].speaker SPEAKER_03
transcript.pyannote[515].start 1488.11909375
transcript.pyannote[515].end 1488.76034375
transcript.pyannote[516].speaker SPEAKER_03
transcript.pyannote[516].start 1489.45221875
transcript.pyannote[516].end 1490.53221875
transcript.pyannote[517].speaker SPEAKER_03
transcript.pyannote[517].start 1490.93721875
transcript.pyannote[517].end 1491.71346875
transcript.pyannote[518].speaker SPEAKER_03
transcript.pyannote[518].start 1492.21971875
transcript.pyannote[518].end 1493.53596875
transcript.pyannote[519].speaker SPEAKER_03
transcript.pyannote[519].start 1493.60346875
transcript.pyannote[519].end 1494.51471875
transcript.pyannote[520].speaker SPEAKER_03
transcript.pyannote[520].start 1496.28659375
transcript.pyannote[520].end 1498.34534375
transcript.pyannote[521].speaker SPEAKER_03
transcript.pyannote[521].start 1499.23971875
transcript.pyannote[521].end 1500.37034375
transcript.pyannote[522].speaker SPEAKER_03
transcript.pyannote[522].start 1501.11284375
transcript.pyannote[522].end 1503.15471875
transcript.pyannote[523].speaker SPEAKER_06
transcript.pyannote[523].start 1503.30659375
transcript.pyannote[523].end 1505.71971875
transcript.pyannote[524].speaker SPEAKER_06
transcript.pyannote[524].start 1506.85034375
transcript.pyannote[524].end 1507.98096875
transcript.pyannote[525].speaker SPEAKER_06
transcript.pyannote[525].start 1508.16659375
transcript.pyannote[525].end 1510.02284375
transcript.pyannote[526].speaker SPEAKER_06
transcript.pyannote[526].start 1510.47846875
transcript.pyannote[526].end 1518.91596875
transcript.pyannote[527].speaker SPEAKER_06
transcript.pyannote[527].start 1519.40534375
transcript.pyannote[527].end 1531.21784375
transcript.pyannote[528].speaker SPEAKER_06
transcript.pyannote[528].start 1531.36971875
transcript.pyannote[528].end 1541.56221875
transcript.pyannote[529].speaker SPEAKER_03
transcript.pyannote[529].start 1537.91721875
transcript.pyannote[529].end 1539.03096875
transcript.pyannote[530].speaker SPEAKER_03
transcript.pyannote[530].start 1539.16596875
transcript.pyannote[530].end 1542.81096875
transcript.pyannote[531].speaker SPEAKER_08
transcript.pyannote[531].start 1541.56221875
transcript.pyannote[531].end 1541.71409375
transcript.pyannote[532].speaker SPEAKER_03
transcript.pyannote[532].start 1543.58721875
transcript.pyannote[532].end 1546.57409375
transcript.pyannote[533].speaker SPEAKER_03
transcript.pyannote[533].start 1547.26596875
transcript.pyannote[533].end 1548.64971875
transcript.pyannote[534].speaker SPEAKER_03
transcript.pyannote[534].start 1548.97034375
transcript.pyannote[534].end 1549.62846875
transcript.pyannote[535].speaker SPEAKER_03
transcript.pyannote[535].start 1550.67471875
transcript.pyannote[535].end 1553.03721875
transcript.pyannote[536].speaker SPEAKER_03
transcript.pyannote[536].start 1553.74596875
transcript.pyannote[536].end 1554.45471875
transcript.pyannote[537].speaker SPEAKER_03
transcript.pyannote[537].start 1555.28159375
transcript.pyannote[537].end 1555.93971875
transcript.pyannote[538].speaker SPEAKER_03
transcript.pyannote[538].start 1556.80034375
transcript.pyannote[538].end 1559.53409375
transcript.pyannote[539].speaker SPEAKER_03
transcript.pyannote[539].start 1559.77034375
transcript.pyannote[539].end 1565.08596875
transcript.pyannote[540].speaker SPEAKER_03
transcript.pyannote[540].start 1566.23346875
transcript.pyannote[540].end 1568.78159375
transcript.pyannote[541].speaker SPEAKER_03
transcript.pyannote[541].start 1569.15284375
transcript.pyannote[541].end 1570.45221875
transcript.pyannote[542].speaker SPEAKER_03
transcript.pyannote[542].start 1571.05971875
transcript.pyannote[542].end 1573.55721875
transcript.pyannote[543].speaker SPEAKER_03
transcript.pyannote[543].start 1574.46846875
transcript.pyannote[543].end 1577.32034375
transcript.pyannote[544].speaker SPEAKER_03
transcript.pyannote[544].start 1578.01221875
transcript.pyannote[544].end 1580.12159375
transcript.pyannote[545].speaker SPEAKER_03
transcript.pyannote[545].start 1580.47596875
transcript.pyannote[545].end 1581.42096875
transcript.pyannote[546].speaker SPEAKER_03
transcript.pyannote[546].start 1581.97784375
transcript.pyannote[546].end 1584.49221875
transcript.pyannote[547].speaker SPEAKER_03
transcript.pyannote[547].start 1585.23471875
transcript.pyannote[547].end 1587.88409375
transcript.pyannote[548].speaker SPEAKER_06
transcript.pyannote[548].start 1587.51284375
transcript.pyannote[548].end 1605.28221875
transcript.pyannote[549].speaker SPEAKER_03
transcript.pyannote[549].start 1588.10346875
transcript.pyannote[549].end 1590.78659375
transcript.pyannote[550].speaker SPEAKER_03
transcript.pyannote[550].start 1601.83971875
transcript.pyannote[550].end 1605.72096875
transcript.pyannote[551].speaker SPEAKER_06
transcript.pyannote[551].start 1605.72096875
transcript.pyannote[551].end 1605.75471875
transcript.pyannote[552].speaker SPEAKER_03
transcript.pyannote[552].start 1606.14284375
transcript.pyannote[552].end 1612.21784375
transcript.pyannote[553].speaker SPEAKER_06
transcript.pyannote[553].start 1606.71659375
transcript.pyannote[553].end 1607.15534375
transcript.pyannote[554].speaker SPEAKER_03
transcript.pyannote[554].start 1612.74096875
transcript.pyannote[554].end 1616.84159375
transcript.pyannote[555].speaker SPEAKER_03
transcript.pyannote[555].start 1617.09471875
transcript.pyannote[555].end 1617.92159375
transcript.pyannote[556].speaker SPEAKER_03
transcript.pyannote[556].start 1618.17471875
transcript.pyannote[556].end 1621.29659375
transcript.pyannote[557].speaker SPEAKER_03
transcript.pyannote[557].start 1621.58346875
transcript.pyannote[557].end 1626.57846875
transcript.pyannote[558].speaker SPEAKER_03
transcript.pyannote[558].start 1627.05096875
transcript.pyannote[558].end 1627.54034375
transcript.pyannote[559].speaker SPEAKER_03
transcript.pyannote[559].start 1627.86096875
transcript.pyannote[559].end 1629.21096875
transcript.pyannote[560].speaker SPEAKER_03
transcript.pyannote[560].start 1629.58221875
transcript.pyannote[560].end 1631.92784375
transcript.pyannote[561].speaker SPEAKER_03
transcript.pyannote[561].start 1632.02909375
transcript.pyannote[561].end 1632.56909375
transcript.pyannote[562].speaker SPEAKER_03
transcript.pyannote[562].start 1633.71659375
transcript.pyannote[562].end 1641.32721875
transcript.pyannote[563].speaker SPEAKER_08
transcript.pyannote[563].start 1635.20159375
transcript.pyannote[563].end 1635.55596875
transcript.pyannote[564].speaker SPEAKER_06
transcript.pyannote[564].start 1640.61846875
transcript.pyannote[564].end 1641.44534375
transcript.pyannote[565].speaker SPEAKER_06
transcript.pyannote[565].start 1641.96846875
transcript.pyannote[565].end 1652.98784375
transcript.pyannote[566].speaker SPEAKER_03
transcript.pyannote[566].start 1653.37596875
transcript.pyannote[566].end 1656.36284375
transcript.pyannote[567].speaker SPEAKER_03
transcript.pyannote[567].start 1656.73409375
transcript.pyannote[567].end 1659.87284375
transcript.pyannote[568].speaker SPEAKER_02
transcript.pyannote[568].start 1660.02471875
transcript.pyannote[568].end 1660.96971875
transcript.pyannote[569].speaker SPEAKER_02
transcript.pyannote[569].start 1661.34096875
transcript.pyannote[569].end 1674.28409375
transcript.pyannote[570].speaker SPEAKER_03
transcript.pyannote[570].start 1664.12534375
transcript.pyannote[570].end 1665.71159375
transcript.pyannote[571].speaker SPEAKER_03
transcript.pyannote[571].start 1668.44534375
transcript.pyannote[571].end 1669.79534375
transcript.pyannote[572].speaker SPEAKER_03
transcript.pyannote[572].start 1669.99784375
transcript.pyannote[572].end 1671.24659375
transcript.pyannote[573].speaker SPEAKER_03
transcript.pyannote[573].start 1672.30971875
transcript.pyannote[573].end 1672.32659375
transcript.pyannote[574].speaker SPEAKER_06
transcript.pyannote[574].start 1672.32659375
transcript.pyannote[574].end 1673.30534375
transcript.pyannote[575].speaker SPEAKER_06
transcript.pyannote[575].start 1674.43596875
transcript.pyannote[575].end 1682.94096875
transcript.pyannote[576].speaker SPEAKER_03
transcript.pyannote[576].start 1682.94096875
transcript.pyannote[576].end 1686.83909375
transcript.pyannote[577].speaker SPEAKER_06
transcript.pyannote[577].start 1683.14346875
transcript.pyannote[577].end 1693.25159375
transcript.pyannote[578].speaker SPEAKER_02
transcript.pyannote[578].start 1693.84221875
transcript.pyannote[578].end 1701.28409375
transcript.pyannote[579].speaker SPEAKER_06
transcript.pyannote[579].start 1693.90971875
transcript.pyannote[579].end 1694.26409375
transcript.pyannote[580].speaker SPEAKER_03
transcript.pyannote[580].start 1694.26409375
transcript.pyannote[580].end 1694.28096875
transcript.pyannote[581].speaker SPEAKER_03
transcript.pyannote[581].start 1697.48721875
transcript.pyannote[581].end 1698.22971875
transcript.pyannote[582].speaker SPEAKER_03
transcript.pyannote[582].start 1698.28034375
transcript.pyannote[582].end 1699.07346875
transcript.pyannote[583].speaker SPEAKER_03
transcript.pyannote[583].start 1699.95096875
transcript.pyannote[583].end 1706.02596875
transcript.pyannote[584].speaker SPEAKER_02
transcript.pyannote[584].start 1702.19534375
transcript.pyannote[584].end 1704.47346875
transcript.pyannote[585].speaker SPEAKER_02
transcript.pyannote[585].start 1705.14846875
transcript.pyannote[585].end 1709.45159375
transcript.pyannote[586].speaker SPEAKER_03
transcript.pyannote[586].start 1708.72596875
transcript.pyannote[586].end 1710.21096875
transcript.pyannote[587].speaker SPEAKER_02
transcript.pyannote[587].start 1710.21096875
transcript.pyannote[587].end 1710.26159375
transcript.pyannote[588].speaker SPEAKER_03
transcript.pyannote[588].start 1710.26159375
transcript.pyannote[588].end 1713.50159375
transcript.pyannote[589].speaker SPEAKER_02
transcript.pyannote[589].start 1710.54846875
transcript.pyannote[589].end 1711.94909375
transcript.pyannote[590].speaker SPEAKER_03
transcript.pyannote[590].start 1714.75034375
transcript.pyannote[590].end 1717.70346875
transcript.pyannote[591].speaker SPEAKER_03
transcript.pyannote[591].start 1719.27284375
transcript.pyannote[591].end 1720.82534375
transcript.pyannote[592].speaker SPEAKER_03
transcript.pyannote[592].start 1721.88846875
transcript.pyannote[592].end 1723.30596875
transcript.pyannote[593].speaker SPEAKER_03
transcript.pyannote[593].start 1723.55909375
transcript.pyannote[593].end 1725.71909375
transcript.pyannote[594].speaker SPEAKER_03
transcript.pyannote[594].start 1726.02284375
transcript.pyannote[594].end 1727.84534375
transcript.pyannote[595].speaker SPEAKER_03
transcript.pyannote[595].start 1728.36846875
transcript.pyannote[595].end 1730.08971875
transcript.pyannote[596].speaker SPEAKER_03
transcript.pyannote[596].start 1730.73096875
transcript.pyannote[596].end 1735.47284375
transcript.pyannote[597].speaker SPEAKER_03
transcript.pyannote[597].start 1736.28284375
transcript.pyannote[597].end 1737.36284375
transcript.pyannote[598].speaker SPEAKER_06
transcript.pyannote[598].start 1737.29534375
transcript.pyannote[598].end 1752.95534375
transcript.pyannote[599].speaker SPEAKER_03
transcript.pyannote[599].start 1740.75471875
transcript.pyannote[599].end 1741.96971875
transcript.pyannote[600].speaker SPEAKER_03
transcript.pyannote[600].start 1743.18471875
transcript.pyannote[600].end 1743.30284375
transcript.pyannote[601].speaker SPEAKER_08
transcript.pyannote[601].start 1743.30284375
transcript.pyannote[601].end 1744.21409375
transcript.pyannote[602].speaker SPEAKER_03
transcript.pyannote[602].start 1749.05721875
transcript.pyannote[602].end 1749.76596875
transcript.pyannote[603].speaker SPEAKER_03
transcript.pyannote[603].start 1752.14534375
transcript.pyannote[603].end 1758.59159375
transcript.pyannote[604].speaker SPEAKER_03
transcript.pyannote[604].start 1758.91221875
transcript.pyannote[604].end 1761.34221875
transcript.pyannote[605].speaker SPEAKER_03
transcript.pyannote[605].start 1761.66284375
transcript.pyannote[605].end 1762.43909375
transcript.pyannote[606].speaker SPEAKER_03
transcript.pyannote[606].start 1762.57409375
transcript.pyannote[606].end 1762.86096875
transcript.pyannote[607].speaker SPEAKER_06
transcript.pyannote[607].start 1762.65846875
transcript.pyannote[607].end 1764.93659375
transcript.pyannote[608].speaker SPEAKER_03
transcript.pyannote[608].start 1763.13096875
transcript.pyannote[608].end 1763.70471875
transcript.pyannote[609].speaker SPEAKER_03
transcript.pyannote[609].start 1765.08846875
transcript.pyannote[609].end 1768.15971875
transcript.pyannote[610].speaker SPEAKER_03
transcript.pyannote[610].start 1768.54784375
transcript.pyannote[610].end 1769.50971875
transcript.pyannote[611].speaker SPEAKER_02
transcript.pyannote[611].start 1769.99909375
transcript.pyannote[611].end 1770.10034375
transcript.pyannote[612].speaker SPEAKER_03
transcript.pyannote[612].start 1770.10034375
transcript.pyannote[612].end 1770.13409375
transcript.pyannote[613].speaker SPEAKER_02
transcript.pyannote[613].start 1770.13409375
transcript.pyannote[613].end 1770.15096875
transcript.pyannote[614].speaker SPEAKER_03
transcript.pyannote[614].start 1770.40409375
transcript.pyannote[614].end 1770.45471875
transcript.pyannote[615].speaker SPEAKER_02
transcript.pyannote[615].start 1771.06221875
transcript.pyannote[615].end 1776.85034375
transcript.pyannote[616].speaker SPEAKER_02
transcript.pyannote[616].start 1777.06971875
transcript.pyannote[616].end 1778.79096875
transcript.pyannote[617].speaker SPEAKER_02
transcript.pyannote[617].start 1779.26346875
transcript.pyannote[617].end 1780.69784375
transcript.pyannote[618].speaker SPEAKER_02
transcript.pyannote[618].start 1781.06909375
transcript.pyannote[618].end 1782.09846875
transcript.pyannote[619].speaker SPEAKER_02
transcript.pyannote[619].start 1782.30096875
transcript.pyannote[619].end 1783.66784375
transcript.pyannote[620].speaker SPEAKER_03
transcript.pyannote[620].start 1783.39784375
transcript.pyannote[620].end 1786.90784375
transcript.pyannote[621].speaker SPEAKER_03
transcript.pyannote[621].start 1787.02596875
transcript.pyannote[621].end 1788.03846875
transcript.pyannote[622].speaker SPEAKER_03
transcript.pyannote[622].start 1788.94971875
transcript.pyannote[622].end 1792.72971875
transcript.pyannote[623].speaker SPEAKER_03
transcript.pyannote[623].start 1793.48909375
transcript.pyannote[623].end 1793.87721875
transcript.pyannote[624].speaker SPEAKER_03
transcript.pyannote[624].start 1794.33284375
transcript.pyannote[624].end 1795.09221875
transcript.pyannote[625].speaker SPEAKER_03
transcript.pyannote[625].start 1795.51409375
transcript.pyannote[625].end 1797.69096875
transcript.pyannote[626].speaker SPEAKER_03
transcript.pyannote[626].start 1798.31534375
transcript.pyannote[626].end 1798.78784375
transcript.pyannote[627].speaker SPEAKER_03
transcript.pyannote[627].start 1799.58096875
transcript.pyannote[627].end 1807.68096875
transcript.pyannote[628].speaker SPEAKER_02
transcript.pyannote[628].start 1807.83284375
transcript.pyannote[628].end 1808.45721875
transcript.pyannote[629].speaker SPEAKER_03
transcript.pyannote[629].start 1808.10284375
transcript.pyannote[629].end 1810.44846875
transcript.pyannote[630].speaker SPEAKER_02
transcript.pyannote[630].start 1809.40221875
transcript.pyannote[630].end 1815.86534375
transcript.pyannote[631].speaker SPEAKER_03
transcript.pyannote[631].start 1816.25346875
transcript.pyannote[631].end 1820.37096875
transcript.pyannote[632].speaker SPEAKER_03
transcript.pyannote[632].start 1820.59034375
transcript.pyannote[632].end 1821.21471875
transcript.pyannote[633].speaker SPEAKER_03
transcript.pyannote[633].start 1821.87284375
transcript.pyannote[633].end 1822.51409375
transcript.pyannote[634].speaker SPEAKER_03
transcript.pyannote[634].start 1822.98659375
transcript.pyannote[634].end 1827.07034375
transcript.pyannote[635].speaker SPEAKER_02
transcript.pyannote[635].start 1826.53034375
transcript.pyannote[635].end 1832.04846875
transcript.pyannote[636].speaker SPEAKER_03
transcript.pyannote[636].start 1830.78284375
transcript.pyannote[636].end 1831.01909375
transcript.pyannote[637].speaker SPEAKER_03
transcript.pyannote[637].start 1832.23409375
transcript.pyannote[637].end 1833.02721875
transcript.pyannote[638].speaker SPEAKER_00
transcript.pyannote[638].start 1833.02721875
transcript.pyannote[638].end 1834.88346875
transcript.pyannote[639].speaker SPEAKER_02
transcript.pyannote[639].start 1834.88346875
transcript.pyannote[639].end 1836.43596875
transcript.pyannote[640].speaker SPEAKER_00
transcript.pyannote[640].start 1837.38096875
transcript.pyannote[640].end 1842.39284375
transcript.pyannote[641].speaker SPEAKER_00
transcript.pyannote[641].start 1848.68721875
transcript.pyannote[641].end 1849.26096875
transcript.whisperx[0].start 12.5
transcript.whisperx[0].end 24.911
transcript.whisperx[0].text 好 謝謝主席那我請院長再請卓院長備選什麼啦 沒緊張啦請石部長我們請衛福部長備選
transcript.whisperx[1].start 29.171
transcript.whisperx[1].end 44.041
transcript.whisperx[1].text 蘇委員好院長好 院長辛苦了不會輕輕鬆鬆回答就好了啦很認真的回答我是當海軍陸戰隊的機翼民國七十一年 走到七十三年
transcript.whisperx[2].start 45.94
transcript.whisperx[2].end 58.146
transcript.whisperx[2].text 海軍陸戰隊當時是很苦的每天早上都找火車 穿DECO不管下雨不下雨都跑 衣冠也在跑那當時民國72年的時候 台灣第一批的脫勢會戰進來那就在海軍陸戰隊那邊就在林園 駱駝山那邊打那當時的參謀長長是郝博春
transcript.whisperx[3].start 75.305
transcript.whisperx[3].end 103.977
transcript.whisperx[3].text 那我是衣冠 要去Stand by我們都很興奮看到那個線性的托市會單那現在的托市會單有沒有改良我不知道啦那我要跟院長報告就是說我們的國防是日新夜異啦那你們這一次 今天復尾了嘛韓院長來復尾啊有你們的一兆多的 有四千億的有三千八加恩的昨天為了三千八再加恩也在那邊討論了很久所以沒有玩樂
transcript.whisperx[4].start 105.117
transcript.whisperx[4].end 127.751
transcript.whisperx[4].text 不是要馬而跑會跑然後要回頭吃草然後再跑不可能這種事情啦 還沒玩樂啦加N就是這個意思嗎沒有啦 加N不是這個意思啦我3800步再回頭再吃個草再跑300步昨天到現在又多了300步所有的委員最擔心的就是國安部發架時美國國安部提出來的 OK
transcript.whisperx[5].start 129.093
transcript.whisperx[5].end 142.262
transcript.whisperx[5].text 沒有問題 它是111億 我們就認了但是另外一個軍火商的 我們有點擔心另外一個自主原化的 還是有點擔心這樣說就說這兩塊而已嘛自主原化最多的產業
transcript.whisperx[6].start 146.485
transcript.whisperx[6].end 166.198
transcript.whisperx[6].text 自主研發對我們這個軍工產業國內的自主產業是最有助益的這塊如果把它弄掉我們就沒有可能將國內的產業來升級非常可惜一定要支持的當作產業發展我們的經濟當然是 那個是好事讓我們也融入國際的體系讓我們整個都upgrade那我覺得這是好事你可以好好請教顧部長我們就是這樣的想法我們在一個島嶼內防衛作戰
transcript.whisperx[7].start 175.784
transcript.whisperx[7].end 197.166
transcript.whisperx[7].text 我們在戰時的時候我們如果沒有國防自主的生產的能量我們要從外援進來並不是一件容易的事情國防自主這一個塊是寫在我們的國防法裡面是我們要強化的那怎麼會現在變成國防自主這件事情變成一個被汙名化的東西呢沒有沒有沒有我們在恆春在屏南
transcript.whisperx[8].start 198.39
transcript.whisperx[8].end 205.645
transcript.whisperx[8].text 從科醫院、酒棚那邊我也去了好幾次我還甚至去那邊做醫療演講叫他們如何構形配
transcript.whisperx[9].start 207.04
transcript.whisperx[9].end 229.465
transcript.whisperx[9].text 我告訴你 我們自己的像海馬四圍蛋如果是都是外購 外購 外購 打一顆就少一顆嘛那如果像天宮你有自己研發 我覺得很棒我自己做 我說我們要研發零零兩千啊所以我們要除了海馬零零零兩千啊那個就可以了 好好的討論啊所以三個版本都來了 一起討論一定有你們要歡樂啦
transcript.whisperx[10].start 231.605
transcript.whisperx[10].end 245.131
transcript.whisperx[10].text 我是希望這三塊 擊殺鏈 台灣之盾 跟自主的國防工業都能夠全部讓我們 委員 報告委今天晚上台灣隊跟日本比賽沒有本土的球員 我們不可能組成國家隊
transcript.whisperx[11].start 247.162
transcript.whisperx[11].end 262.681
transcript.whisperx[11].text 但是我們也可以請我們在大聯盟的優秀的好手回來日本的好手也可以回來但是沒有本土的球員國家隊都成不起來205P工廠已經有一些完工了子彈的製造已經可以提高好幾倍
transcript.whisperx[12].start 263.121
transcript.whisperx[12].end 279.709
transcript.whisperx[12].text 你還在外購一顆買18塊然後自己產的8塊錢所以正是因為我們要強化我們的產線彈藥的產線我們要提高我們的戰備存量這也是在我們這一次的特別預算裡面非常強調的一個部分也希望委員能夠支持
transcript.whisperx[13].start 280.697
transcript.whisperx[13].end 308.406
transcript.whisperx[13].text 如果是這樣我一定支持謝謝委員我雖然當醫生但是我非常非常的關心你問市部長我看他有沒有很關心嗎我問我做醫生不是這樣那這請委員一定要支持因為整個概念想法做法就是這樣好那謝謝謝謝部長那院長上次的質詢你有答應我說那個急重症醫師的加班會值班會的問題你說
transcript.whisperx[14].start 310.649
transcript.whisperx[14].end 329.584
transcript.whisperx[14].text 去年底會有一個結果我們痴痴的等呆呆的等現在還有一些身份上的分辨的過程包括軍醫還有公立醫院還有私人醫院這些醫生的身份我們還要再做一些最後的一些分析跟定案
transcript.whisperx[15].start 330.427
transcript.whisperx[15].end 357.869
transcript.whisperx[15].text 已經跟衛福部提出過一些比較詳細內容的報告因為我本身在做重症我們部長他本身也是急診科是那這個醫生一直在照啦不是說我顧我自己,不對嗎這個醫生,隔壁說零五三個醫生,最近六個GS的醫生跑掉四個,跑掉四個那這樣的話是會出問題的所以院長
transcript.whisperx[16].start 359.538
transcript.whisperx[16].end 385.107
transcript.whisperx[16].text 你已經說過年底 現在又再再再變得更快可以嗎 阿你都沒回答來 請部長向你說明對 跟委員說明其實在這一段期間 院長非常關心那也指派了這個陳政委協調了好幾次因為這個跨好幾個部會那從這個所得稅法開始那麼有一些一定這個標準下的
transcript.whisperx[17].start 385.852
transcript.whisperx[17].end 404.978
transcript.whisperx[17].text 加班費可以適用免稅規定做出發點來檢討合宜的加班上限時數多少時薪怎麼計算免稅額怎麼計算到最後前面這邊都有共識的現在最後一個就是身分別的差異
transcript.whisperx[18].start 405.758
transcript.whisperx[18].end 427.447
transcript.whisperx[18].text 希望大家都能夠拉平不要讓公立醫院的公職醫師跟民聘、約用醫師不同或者是跟私人醫院的醫師不同又會造成人力之間的相對剝奪感所以差最後一個就是最後讓他拉平院長 我要報告公務體系的加班人太少了
transcript.whisperx[19].start 428.928
transcript.whisperx[19].end 445.23
transcript.whisperx[19].text 根本就了備一格嘛常常要叫人家補休假醫生要怎麼補休假所以講這個是沒有意義 要幾百塊所以沒有誘因所以一定要
transcript.whisperx[20].start 445.891
transcript.whisperx[20].end 467.868
transcript.whisperx[20].text 也體諒到公立醫院醫師過去長時間在這樣的體制底下還是願意來從事這種行醫救人所以我們正從制度上希望把它能夠把它拉得比較平均化一點就是公立醫院的醫師、軍醫還有私人醫院這個平均化要把它拉到已經到最後了他涉及到一些法規上要修訂一下
transcript.whisperx[21].start 469.048
transcript.whisperx[21].end 496.881
transcript.whisperx[21].text 這一次的春節那我們衛部跟健保署非常努力我這裡要肯定花了一些錢然後做急重症的分流然後大部分的加班費都給醫婦人員好像80%我是覺得這非常好那這次春節的急重症分流的不錯那這裡我有一個case
transcript.whisperx[22].start 497.799
transcript.whisperx[22].end 508.687
transcript.whisperx[22].text 我也有跟部長報告這個就是在屏東、屏南跟院長報告這是一個很好的例子用這個例子就可以講很多
transcript.whisperx[23].start 510.28
transcript.whisperx[23].end 526.967
transcript.whisperx[23].text 這個病人在別的醫院停掉CPR再急診,CPR多久呢?70分鐘,70分鐘喔,那應該是沒了啦一般我們都40分鐘就放棄了,年輕,少年50幾歲,所以就送過來我們這邊
transcript.whisperx[24].start 530.598
transcript.whisperx[24].end 545.559
transcript.whisperx[24].text 來到這間學校,就在這間學校給他裝葉克膜在急診室就裝了裝完就整個拉到導管室去做診療管手術手術完之後到ICU葉克膜放了八天八天
transcript.whisperx[25].start 546.67
transcript.whisperx[25].end 564.855
transcript.whisperx[25].text 八天後拔掉夜空我要寫信給部長跟那個說夜空也拔掉啊大家高興啊這付出多大的人力物力啊再來估計是拔掉再來這個你看到這張照片都打霧啊我在那邊被愛心啊臥開啊 氣開啊還給我講話
transcript.whisperx[26].start 572.423
transcript.whisperx[26].end 599.493
transcript.whisperx[26].text 所以這就是要集中整個團隊,這個團隊要差不多四十五個人,從急診到導管室到開心手術到艾修,四五十個人,後來又叫五個緊急診施導管,從台北回去了,從日台回去了,心理工廠也要叫,又開一個主動玻璃破裂開心手術,台北人都叫叫起來,
transcript.whisperx[27].start 601.067
transcript.whisperx[27].end 613.068
transcript.whisperx[27].text 像這種的 這種團隊你把人家賣掉 沒理由這叫做做的 叫做算的 他要怎麼做我天天想的都是這種問題而已我不是在說為什麼 就是為
transcript.whisperx[28].start 614.455
transcript.whisperx[28].end 643.487
transcript.whisperx[28].text 會我照顧 院長像這種你就要好好的一個分流之後這些重症團隊要好好的呵護我要跟你講的講到不管是公立醫院 不管是社團法院 財統院所以很敬佩集中這個團隊包括書員在內讓大家一棒一棒接一棒把一個生命給他留存下來 搶救一個生命那是多大的一個功德對不對所以已經做到這個事情了我們也希望說那所有過程當中的醫師
transcript.whisperx[29].start 644.482
transcript.whisperx[29].end 651.983
transcript.whisperx[29].text 已經參與集中症還有其他的一樣在從事這些技師救人醫師能夠讓他在制度上更公平那再來
transcript.whisperx[30].start 653.007
transcript.whisperx[30].end 681.526
transcript.whisperx[30].text 我們零到六歲的小孩子我們黨團討論很多但是我要跟院長報告這個是兒科醫學會的訴求你說零到六歲的小孩但是台灣小的小孩不是不會生也不是不會生是不敢生兒科醫學會就要求說零到六歲把他們的健保費吸收不然你多少錢啊你不要反對啦 你是在反對什麼 沒錯
transcript.whisperx[31].start 683.787
transcript.whisperx[31].end 707.417
transcript.whisperx[31].text 其實我每天想的跟委員在想的都差不多啦都在想說這些集中症的人力怎麼留住包含這個兒科也是一樣不過呢以現在我們對於這個兒童的保費我們分兩種一種是低收入戶中低收入戶在福利對象其實我們在保費上有的已經都全免了有些呢是還
transcript.whisperx[32].start 708.547
transcript.whisperx[32].end 732.853
transcript.whisperx[32].text 有補助給他啦第二個呢0到3歲的孩子部分負擔的部分醫療費用我們也用公務預算都cover了所以剩下的呢差別是差在哪裡呢因為我們健保室大家都是量能付費互助互利啦接下來剩下的都是其實委員報告0到6歲他在跟你牽絲你就講一句好不好
transcript.whisperx[33].start 736.448
transcript.whisperx[33].end 758.006
transcript.whisperx[33].text 這樣就好啊 對不對他講一千個理由 都不是理由啊這不是牽制的問題啦這是說要把這個主管發揮到最大而且喔我們老大人 孩子人我們要做全面的規劃而不是這裡切一塊 哪裡切一塊到最後只集中在某一部分的人在負擔那整個制度上的負擔會集中在
transcript.whisperx[34].start 758.925
transcript.whisperx[34].end 773.029
transcript.whisperx[34].text 就是中壯年這個階段,那這個會發生一個制度上未來我希望那個下個月婦幼節能夠有好消息啦,好不好?謝謝婦幼節有婦幼節的好消息對,對啦好啦,謝謝啦,我請經濟部長請那個經濟部長,請經濟部長謝謝委員那個婦幼節啦,我婦幼節等你的好消息啦
transcript.whisperx[35].start 787.029
transcript.whisperx[35].end 812.375
transcript.whisperx[35].text 委員好 來這個剛剛有很多委員都講了我們台灣一天要一條船的那個義太天然氣的船嘛你有講嘛差不多一天要一條那現在我們的永安接收站跟台中港接收站都OK吧那現在你有第三跟三接跟四接現在是怎麼樣
transcript.whisperx[36].start 813.516
transcript.whisperx[36].end 838.362
transcript.whisperx[36].text 三接現在已經有開始營運但是可能要有第二期四接現在正在環評環評已經過了但是現在正在施工三接已經施工了嗎三接已經部分完成了我們希望有第二期你的來源是三分之一從荷莫茲來另外是印尼還是美國各三分之一
transcript.whisperx[37].start 840.146
transcript.whisperx[37].end 843.917
transcript.whisperx[37].text 美國、澳洲所以打一眼調配沒問題
transcript.whisperx[38].start 847.146
transcript.whisperx[38].end 866.124
transcript.whisperx[38].text 目前就是說三月份大概都已經可以調到貨了今天我們中區的立委都問我說你要問院長看看那台中港那六支煙囪是不是要重新啟用了我說那我不知道啊還沒有啦不會啦要再開始拉後煙啦因為我們現在重心就擺在還是在這個天然氣怎麼樣
transcript.whisperx[39].start 872.009
transcript.whisperx[39].end 896.229
transcript.whisperx[39].text 因為剛剛委員講我們大概三分之一或是百分之三十是從這個中東來嘛汽的部分所以百分之七十事實上還是從其他的地方這個是OK的那所以說我們就盡量把那個百分之三十利用不管是提前調貨也好或者是在市場現貨市場買希望把那個百分之三十把它補起來這個才是我們現在最重要的工作
transcript.whisperx[40].start 897.799
transcript.whisperx[40].end 914.286
transcript.whisperx[40].text 那這一次的這個打仗跟能源的危機雖然是還沒有很嚴重的事情發生但是如果再拖下去就差不多問題就要出來了那我們如果再燒煤炭再燒燒拖堂就開始空氣汙染我們這次的疫情就沒辦法了大家都煩惱到要死要希望所以新的核能
transcript.whisperx[41].start 923.103
transcript.whisperx[41].end 928.591
transcript.whisperx[41].text 院長你點眼說新核能你也能接受我要請教你什麼叫做新的核能
transcript.whisperx[42].start 929.311
transcript.whisperx[42].end 954.583
transcript.whisperx[42].text 現在其他國家先進的一些技術都在討論當中包括核融核SMR等等都在討論當中那這個要商轉還有一段時間那我是說我們現在要全面去接觸這些討論讓我們也有機會在未來當他到達一個核安沒有疑慮核廢可以處理的情況底下大家取得高度的共識對於核能來不會像過去的核能對環境的
transcript.whisperx[43].start 955.203
transcript.whisperx[43].end 972.018
transcript.whisperx[43].text 破壞威脅那麼大我們就可以來討論我們要不要接受這樣子我們要全面接觸這個討論我今天有看到那個BBC有寫美國的Terra Power他宣布他要幫Microsoft做實作
transcript.whisperx[44].start 974.226
transcript.whisperx[44].end 989.375
transcript.whisperx[44].text 核電廠希望在2035年之前全部完工那裡面就有像院長講的有SMR有核融核有核分裂所以這個都是新的我們一定要追上去我真的很高興
transcript.whisperx[45].start 991.556
transcript.whisperx[45].end 997.64
transcript.whisperx[45].text 傳統核能時代的非核家園我們在去年5月17號已經達成了我們已經沒有了那現在我們是面對一個新時代的來臨民生產業都需要我們更開放的能源政策我們往這個方向全力以來直接接觸
transcript.whisperx[46].start 1019.256
transcript.whisperx[46].end 1040.673
transcript.whisperx[46].text 河山長在前幾個世代就框了五百多公尺那現在我看兩個基礎佔了差不多一百公尺而已如果你要發展新的核能剛剛講的那一些這個地方夠 核地方夠穩定所以一定這是一個最好的地方 最好的坑路
transcript.whisperx[47].start 1040.993
transcript.whisperx[47].end 1056.485
transcript.whisperx[47].text 核三長經過核安 核國安法的修法之後他必須經過有法定的程序提出自主案件檢查跟再運轉的計畫那這個目前經濟部 督促台電都在進行當中而且最後要有核安會來審核同意之後我們才能
transcript.whisperx[48].start 1057.776
transcript.whisperx[48].end 1080.082
transcript.whisperx[48].text 考慮要不要怎麼處理那他自主安全檢查跟再運轉計畫過程能不能完全達到最好的安全標準目前還必須有多層的努力當然當然當然就要像剛剛部長也有講核二是比較慢核三比較快那另外一個就是核工的人才我看像核三廠的
transcript.whisperx[49].start 1081.662
transcript.whisperx[49].end 1109.453
transcript.whisperx[49].text 剛剛卸任的廠長 前一任廠長 都很優秀的都台電派出去的 都去MIT打破書這些人你一定要好好地珍惜 好好地留不然的話這對台灣是重大損失有 報告委員在河山當初除役的之前我們就跟經濟部跟台電講過盡量把裡面的同仁都能夠留下來留下來也為了要處理河後之間的很多問題對 這個很重要
transcript.whisperx[50].start 1110.593
transcript.whisperx[50].end 1134.601
transcript.whisperx[50].text 人才就是國家的人才難力什麼執政那個都不重要啦整個國家要怎麼發展要對子孫負責啦所以人才就是大家要留養那再來我要跟你講的就是前兩天又在屏東又那個環境部又做那個環境影響評估那個風電風電我如果看到這個風電
transcript.whisperx[51].start 1139.636
transcript.whisperx[51].end 1167.591
transcript.whisperx[51].text 一百歲啊宜蘭 花蓮 台東 反風車大聯盟那些管政府都不愛做啊屏東這裡我們不施行一座又一座一定有 你等一下也說如果不適合就不要一支好 一支風電一億三千萬 一億四千萬現在反省又多了一年發電五百萬多 六百萬多大家都反對低頻噪音 跟外星人聽不下去
transcript.whisperx[52].start 1171.174
transcript.whisperx[52].end 1192.611
transcript.whisperx[52].text 報告委員在多元發展綠能還是國家現在二次能源轉型的目標多元發展綠能當中風電還是佔一個相當的比例但我們說過我們曾經說過這個環境敏感的地帶以及地方政府如果有不同的意見那絕對不以強推任何的風電廠
transcript.whisperx[53].start 1193.939
transcript.whisperx[53].end 1213.099
transcript.whisperx[53].text 那個風電、太陽能都是要在土地廣縮、鳥無人煙的地方,我們都去看過嘛,去美國阿里桑那、去加州、去內蒙古都看過,幾十公里沒有半個人,我們這裡不是都住在一區,人家都坐一個,
transcript.whisperx[54].start 1218.263
transcript.whisperx[54].end 1239.619
transcript.whisperx[54].text 主要花電量太少啦那個根本是CP值差太多包委員剛剛院長已經有講了就是說只要是地方政府沒有同意或是他本身地質敏感的地區我們大概就不會同意啦那這個案子您剛才提到這個案子基本上也還沒有跟我們提出來蘇貞昌院長說了說種樹百里花費八十億
transcript.whisperx[55].start 1243.533
transcript.whisperx[55].end 1258.92
transcript.whisperx[55].text 屏東要 重樹百里是創造美麗的天際線結果現在你搞風車在那邊破壞天際線 破壞風景沒有這樣有啦所以一定要注意 好不好我們會遵照剛剛的原則
transcript.whisperx[56].start 1261.281
transcript.whisperx[56].end 1283.419
transcript.whisperx[56].text 對 報告委員 那個現在他們前幾天那個有來做我們環評第二次的初審那委員的意見非常的多也都幫委員考慮了大概有十個大意見您說的低頻噪音、眩影或是說鳥類生態或是當地的文化原住民等等都考慮在裡面那當然他們要申請是他們的權利啦那我們會嚴格的把關
transcript.whisperx[57].start 1284.059
transcript.whisperx[57].end 1311.693
transcript.whisperx[57].text 那也跟委員報告因為我剛好上禮拜到歐盟也看到荷蘭荷蘭也是跟我們一樣地不大但是我有特別注意到荷蘭的陸特丹外海的風機沒聲啦沒聲所以這個部分我們未來也會再多餘評估一下看是不是有一些更好的技術因為我們現在的風機都是比較舊的2010年的時候大量蓋的那時候那個那時候帶的風機比較吵一點點是不是有更好的風機或更好的方式我們會來研究會建議開發單位能夠再來處理
transcript.whisperx[58].start 1315.253
transcript.whisperx[58].end 1329.96
transcript.whisperx[58].text 經濟部長在這裡有在講齁最後一個你的部分就是那個儲水槽擋槓的儲水槽儲水槽儲水槽那天明天明一定有可能啦齁那我跟你講齁
transcript.whisperx[59].start 1331.361
transcript.whisperx[59].end 1346.263
transcript.whisperx[59].text 這個我在第八屆立委的時候我已經有提了提這個大鵬灣那邊要一個儲水槽那很感謝院長還有部長你們在小琉球做了兩個一個是五千噸一個五千噸一萬噸那大鵬灣這邊
transcript.whisperx[60].start 1349.225
transcript.whisperx[60].end 1368.73
transcript.whisperx[60].text 應該要做一個那自來水公司也很認真最近有討論就是在東港附近要做一個五萬棟的儲水沒有齁因為牡丹水庫大概一百公里那個一百公里常常就通通你看那個水管橋這個就是水管橋以前的水管是掛在
transcript.whisperx[61].start 1373.871
transcript.whisperx[61].end 1394.33
transcript.whisperx[61].text 掛在橋樑的旁邊,風太大來,橋回去,那水管就崩潰了,以前風港就是這樣。那後來水管橋就自己獨立了,那這個水管橋很棒,很棒。這就出事了,分開。那最近重新粉刷,右邊這個改成灰色的。
transcript.whisperx[62].start 1395.391
transcript.whisperx[62].end 1416.647
transcript.whisperx[62].text 這個跟韌性有關,我非常的欽佩,因為這個很難看,跟水明跟大自然都混在一起,你用這個紅色的太突兀了,那個要炸你的話很好炸,所以這個改成這樣,這個跟國防有相關,我給你欽佩,這個土水槽要做,好不好?
transcript.whisperx[63].start 1421.323
transcript.whisperx[63].end 1432.925
transcript.whisperx[63].text 好一定要做啦對 這個民生跟產業相關的我們都會很優先的來考量兩位部長請回我請交通部長 比較快沒時間了麻煩請交通部長備選我準備很多東西要問你來 柏定是我在高鐵 跟你坐在同一間車喔院長 這個柏定讚
transcript.whisperx[64].start 1450.717
transcript.whisperx[64].end 1468.483
transcript.whisperx[64].text 柏螺西雙都去看太太跟孩子柏螺西雙也經常跟我去各地去看工程柏螺西雙也經常跟我去看工程柏螺西雙也經常跟我去看工程柏螺西雙也經常跟我去看工程柏螺西雙也經常跟我去看工程柏螺西雙也經常跟我去看工程柏螺西雙也經常跟我去看工程柏螺西雙也經常跟我去看工程柏螺西雙也經常跟我去看工程柏螺西雙也經常跟我去看工程
transcript.whisperx[65].start 1479.144
transcript.whisperx[65].end 1505.674
transcript.whisperx[65].text 那這個測出照相一年罰款罰了全台灣三百多億你以為這麼幼稚嗎然後呢更好笑的是機車跟汽車的造勢力十大原因裡面都沒有超速超速都擺不定所以我看你們是搞錯方向了吧報告委員這個部分我可以跟您做說明
transcript.whisperx[66].start 1507.329
transcript.whisperx[66].end 1531.723
transcript.whisperx[66].text 這個部分為什麼這個牌是這樣排為什麼因為事故發生的時候第一時間我們的警方單位去做筆錄的時候除非你有申訴要做這個更詳細的評估譬如說車禍的噪音的這個詳細的評估才會去量速度不然一般來講你出車禍的時候沒有任何一個駕駛會主動跟警察講說我超速了一定不會說
transcript.whisperx[67].start 1533.004
transcript.whisperx[67].end 1544.071
transcript.whisperx[67].text 但是當我們要做這個真正的評估的時候我們測出來的數字跟委員報告他講的有語頻測數照相機從東到北去從東到坤町 十北去來回我們都要幾次 我不要算了好不好然後呢 照視率
transcript.whisperx[68].start 1556.817
transcript.whisperx[68].end 1584.068
transcript.whisperx[68].text 如果一個路口出錯,就把他降速,再降速。所以,這麼大條的路,四十三、六十三公里,我們才七十八、九十,他不是啦,剛好碰一下就變四十,就隨便去踩,七、三次。大家是走到街外,我們台北這些朋友,或是這些同仁,去到屏東,去到那裡回來,絕對都有伴手禮。
transcript.whisperx[69].start 1585.408
transcript.whisperx[69].end 1608.065
transcript.whisperx[69].text 辦手禮都兩點發動 自己三點發動你很久沒開車 你很久沒開車 我很久開車我很久開車 而且我開車去坤町一年最沒有超過五遍我自己開車喔 帶家人去 超過五遍我沒有被拍過測速照相 跟委員報告又是照相機 又是區間測速 要搞什麼鬼啊我們的造勢力 德國是6.8 他的高速公路是福利位
transcript.whisperx[70].start 1612.768
transcript.whisperx[70].end 1625.798
transcript.whisperx[70].text 沒有縣市我在德國被載過我知道在法蘭克湖那邊他開車我們那個車子歐寶的已經開到兩百四了旁邊要一輛一輛把我們炒過去我說哇那要載多久他說要想到載日落地那邊就這樣造勢率6.8美國12.9台灣12.3所以
transcript.whisperx[71].start 1633.803
transcript.whisperx[71].end 1660.422
transcript.whisperx[71].text 跟超市無關的你就花錢然後存錢然後又去買測速照相機然後越裝越...報告委員你在說的屏南的那條道路我非常熟悉旁邊很多地方都有聚落住了很多人你試想一下如果那一段我們給它速限提到120你認為那邊的居民會安全嗎沒有啦我的意思就是說你是那個陷阱你可以七八十然後掉一下子變五十變四十這個可以檢討
transcript.whisperx[72].start 1661.414
transcript.whisperx[72].end 1674.165
transcript.whisperx[72].text 就是他降速的限制一定要比較人性嘛要看到都來不及,那你取締他,他會覺得心理不服氣啊我告訴你,你這樣踩下去,再踩三年,一月到晚都測速降線機啊這很多是地方政府的啦百分之九十幾以上都地方政府啦而且發大發下去百分之九十以上的經費都在地方政府啦
transcript.whisperx[73].start 1683.013
transcript.whisperx[73].end 1690.578
transcript.whisperx[73].text 不是說中央政府很希望法不會我們是上位的法規就是說對於速限如果你真的超出了該罰錢這個是我們上位法規但實際的執行不是我們
transcript.whisperx[74].start 1693.84
transcript.whisperx[74].end 1720.3
transcript.whisperx[74].text 就是還是要督促地方政府來檢討剛剛說的那個人性化的降速規定再來就是每一個路段一段時間要去檢討馬上檢討啦好不好路段要去檢討平常還在造勢那就要採用其他的方法那如果安全我們這個方法要最後最後最後三個屏東的三個建設三個建設齁朱熙就不想我講兩分鐘不然我就說這麼久的屏北的屏北二塊
transcript.whisperx[75].start 1722.206
transcript.whisperx[75].end 1727.654
transcript.whisperx[75].text 那個高鐵再來屏南快速道路這三條這三條我做一下講你都要等到民國西延2037、39、40啦我要說我找不到呢
transcript.whisperx[76].start 1736.428
transcript.whisperx[76].end 1757.903
transcript.whisperx[76].text 這不會中就死了會啦 你一定會中跟委員報告 你說的那個屏南二塊在院長的指示之下我們今年10月之前就會來開工院長有到縣地去看過而且也有指示今年一定要開工國道10號延伸到新威大橋我台北改的立委我請署
transcript.whisperx[77].start 1758.988
transcript.whisperx[77].end 1785.787
transcript.whisperx[77].text 拍板你敢不敢鼓勵他開工對 也是院長去開工的他就你開工的嘛開工就放太久了我要跟你說是十年 十年所以要感謝歷屆的院長在行政院這樣努力的規劃我們到現在才有辦法做所以高評二範我們去年九月行政院核定今年十月前我要求一定開工要順利的招標出去開工你要像那個舞陽高架這舞陽高架
transcript.whisperx[78].start 1790.136
transcript.whisperx[78].end 1814.984
transcript.whisperx[78].text 38.8公里,他就多段開工,這樣提早三年,提早三年也完工所以一定可以多段先開工,讓他可以提早完工如果這樣一條路做要一直這麼久,會被人臭死我知道你好各家的效力很好請市交通部來演繹更快的一個分段開工的方式,那工程來進行
transcript.whisperx[79].start 1816.471
transcript.whisperx[79].end 1835.68
transcript.whisperx[79].text 你看五陽高鐵 五陽快速路 那高架38不到39公里 真的是提早3天這個也規劃了很多年多年 用地的取得也是有大的問題但現在已經一一克服了這個我會盯緊 好不好我們一起盯 謝謝
transcript.whisperx[80].start 1848.77
transcript.whisperx[80].end 1848.915
transcript.whisperx[80].text 不是