iVOD / 159316

Field Value
IVOD_ID 159316
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159316
日期 2025-03-18
會議資料.會議代碼 院會-11-3-5
會議資料.會議代碼:str 第11屆第3會期第5次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 5
會議資料.種類 院會
會議資料.標題 第11屆第3會期第5次會議
影片種類 Clip
開始時間 2025-03-18T17:48:54+08:00
結束時間 2025-03-18T18:19:34+08:00
影片長度 00:30:40
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1468b0c2f72abc7f0eb1c6d063f9a225192e6bfb57ea0be4286dba9178fa551c849987ba386f8b6b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳雪生
委員發言時間 17:48:54 - 18:19:34
會議時間 2025-03-18T09:00:00+08:00
會議名稱 第11屆第3會期第5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14日上午9時至10時為國是論壇時間。三、3月18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_06
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 4.95846875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 13.14284375
transcript.pyannote[1].end 14.03721875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 15.11721875
transcript.pyannote[2].end 16.28159375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 17.15909375
transcript.pyannote[3].end 17.59784375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 17.96909375
transcript.pyannote[4].end 18.28971875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 18.55971875
transcript.pyannote[5].end 20.19659375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 29.25846875
transcript.pyannote[6].end 33.81471875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 29.69721875
transcript.pyannote[7].end 29.74784375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 29.74784375
transcript.pyannote[8].end 30.37221875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 32.95409375
transcript.pyannote[9].end 33.30846875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.27034375
transcript.pyannote[10].end 36.70034375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 37.20659375
transcript.pyannote[11].end 38.21909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 38.80971875
transcript.pyannote[12].end 40.19346875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 41.12159375
transcript.pyannote[13].end 42.03284375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 42.28596875
transcript.pyannote[14].end 42.64034375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 43.83846875
transcript.pyannote[15].end 44.69909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 45.52596875
transcript.pyannote[16].end 46.60596875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 47.33159375
transcript.pyannote[17].end 48.85034375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 49.42409375
transcript.pyannote[18].end 52.46159375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 52.95096875
transcript.pyannote[19].end 54.09846875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 54.77346875
transcript.pyannote[20].end 58.80659375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 59.51534375
transcript.pyannote[21].end 61.40534375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 61.89471875
transcript.pyannote[22].end 63.22784375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 63.97034375
transcript.pyannote[23].end 64.81409375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 65.45534375
transcript.pyannote[24].end 66.01221875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 66.50159375
transcript.pyannote[25].end 67.21034375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 67.81784375
transcript.pyannote[26].end 68.77971875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 69.60659375
transcript.pyannote[27].end 70.72034375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 71.58096875
transcript.pyannote[28].end 74.70284375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 75.42846875
transcript.pyannote[29].end 77.75721875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 78.36471875
transcript.pyannote[30].end 78.98909375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 79.47846875
transcript.pyannote[31].end 81.01409375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 81.63846875
transcript.pyannote[32].end 83.34284375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 84.00096875
transcript.pyannote[33].end 85.09784375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 86.14409375
transcript.pyannote[34].end 87.71346875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 87.94971875
transcript.pyannote[35].end 89.85659375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 90.39659375
transcript.pyannote[36].end 92.16846875
transcript.pyannote[37].speaker SPEAKER_06
transcript.pyannote[37].start 93.67034375
transcript.pyannote[37].end 94.09221875
transcript.pyannote[38].speaker SPEAKER_06
transcript.pyannote[38].start 94.42971875
transcript.pyannote[38].end 96.65721875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 96.38721875
transcript.pyannote[39].end 97.38284375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 100.21784375
transcript.pyannote[40].end 105.85409375
transcript.pyannote[41].speaker SPEAKER_06
transcript.pyannote[41].start 100.28534375
transcript.pyannote[41].end 100.47096875
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 103.49159375
transcript.pyannote[42].end 106.12409375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 106.00596875
transcript.pyannote[43].end 106.49534375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 107.18721875
transcript.pyannote[44].end 109.58346875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 109.65096875
transcript.pyannote[45].end 112.21596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 112.67159375
transcript.pyannote[46].end 114.91596875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 115.70909375
transcript.pyannote[47].end 117.98721875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 118.98284375
transcript.pyannote[48].end 121.54784375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 122.15534375
transcript.pyannote[49].end 123.62346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 124.51784375
transcript.pyannote[50].end 126.32346875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 126.88034375
transcript.pyannote[51].end 128.36534375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 128.83784375
transcript.pyannote[52].end 130.40721875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 130.81221875
transcript.pyannote[53].end 132.02721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 132.39846875
transcript.pyannote[54].end 133.14096875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 133.57971875
transcript.pyannote[55].end 134.74409375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 134.99721875
transcript.pyannote[56].end 137.47784375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 138.13596875
transcript.pyannote[57].end 140.24534375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 140.83596875
transcript.pyannote[58].end 142.54034375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 143.21534375
transcript.pyannote[59].end 146.38784375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 146.80971875
transcript.pyannote[60].end 149.32409375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 149.91471875
transcript.pyannote[61].end 150.82596875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 151.23096875
transcript.pyannote[62].end 152.53034375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 152.78346875
transcript.pyannote[63].end 154.62284375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 155.04471875
transcript.pyannote[64].end 157.10346875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 157.50846875
transcript.pyannote[65].end 158.38596875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 158.89221875
transcript.pyannote[66].end 161.67659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 162.13221875
transcript.pyannote[67].end 163.46534375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 163.93784375
transcript.pyannote[68].end 165.77721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 166.08096875
transcript.pyannote[69].end 168.20721875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 168.74721875
transcript.pyannote[70].end 171.49784375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 171.88596875
transcript.pyannote[71].end 175.63221875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 176.23971875
transcript.pyannote[72].end 179.09159375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 179.63159375
transcript.pyannote[73].end 181.94346875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 182.44971875
transcript.pyannote[74].end 186.11159375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 186.92159375
transcript.pyannote[75].end 187.71471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 187.93409375
transcript.pyannote[76].end 190.56659375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 191.17409375
transcript.pyannote[77].end 192.37221875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 192.91221875
transcript.pyannote[78].end 195.74721875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 196.20284375
transcript.pyannote[79].end 197.77221875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 198.00846875
transcript.pyannote[80].end 198.53159375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 199.24034375
transcript.pyannote[81].end 201.90659375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 202.39596875
transcript.pyannote[82].end 203.23971875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 203.91471875
transcript.pyannote[83].end 204.94409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 204.97784375
transcript.pyannote[84].end 206.07471875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 206.61471875
transcript.pyannote[85].end 207.77909375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 208.33596875
transcript.pyannote[86].end 209.19659375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 210.32721875
transcript.pyannote[87].end 211.50846875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 211.99784375
transcript.pyannote[88].end 212.94284375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 213.41534375
transcript.pyannote[89].end 214.79909375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 215.28846875
transcript.pyannote[90].end 218.44409375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 219.08534375
transcript.pyannote[91].end 219.89534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 220.26659375
transcript.pyannote[92].end 222.37596875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 222.69659375
transcript.pyannote[93].end 223.21971875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 224.11409375
transcript.pyannote[94].end 224.70471875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 224.97471875
transcript.pyannote[95].end 225.78471875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 225.86909375
transcript.pyannote[96].end 226.24034375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 226.66221875
transcript.pyannote[97].end 228.72096875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 228.75471875
transcript.pyannote[98].end 229.49721875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 230.12159375
transcript.pyannote[99].end 231.79221875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 232.29846875
transcript.pyannote[100].end 233.58096875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 234.25596875
transcript.pyannote[101].end 235.63971875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 236.21346875
transcript.pyannote[102].end 237.15846875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 237.76596875
transcript.pyannote[103].end 241.05659375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 241.36034375
transcript.pyannote[104].end 241.76534375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 242.00159375
transcript.pyannote[105].end 243.21659375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 243.80721875
transcript.pyannote[106].end 245.69721875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 245.95034375
transcript.pyannote[107].end 247.35096875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 247.85721875
transcript.pyannote[108].end 248.95409375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 249.42659375
transcript.pyannote[109].end 251.33346875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 251.73846875
transcript.pyannote[110].end 254.20221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 254.55659375
transcript.pyannote[111].end 257.37471875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 257.96534375
transcript.pyannote[112].end 259.01159375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 258.01596875
transcript.pyannote[113].end 269.59221875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 268.74846875
transcript.pyannote[114].end 269.52471875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 269.59221875
transcript.pyannote[115].end 269.96346875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 269.96346875
transcript.pyannote[116].end 278.43471875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 270.30096875
transcript.pyannote[117].end 270.45284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 270.79034375
transcript.pyannote[118].end 272.17409375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 273.87846875
transcript.pyannote[119].end 274.08096875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 277.81034375
transcript.pyannote[120].end 279.66659375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 279.97034375
transcript.pyannote[121].end 282.58596875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 283.14284375
transcript.pyannote[122].end 285.60659375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 285.67409375
transcript.pyannote[123].end 287.95221875
transcript.pyannote[124].speaker SPEAKER_06
transcript.pyannote[124].start 287.95221875
transcript.pyannote[124].end 287.98596875
transcript.pyannote[125].speaker SPEAKER_06
transcript.pyannote[125].start 288.57659375
transcript.pyannote[125].end 290.11221875
transcript.pyannote[126].speaker SPEAKER_06
transcript.pyannote[126].start 290.68596875
transcript.pyannote[126].end 292.64346875
transcript.pyannote[127].speaker SPEAKER_06
transcript.pyannote[127].start 294.17909375
transcript.pyannote[127].end 305.83971875
transcript.pyannote[128].speaker SPEAKER_06
transcript.pyannote[128].start 306.63284375
transcript.pyannote[128].end 307.86471875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 307.03784375
transcript.pyannote[129].end 307.34159375
transcript.pyannote[130].speaker SPEAKER_06
transcript.pyannote[130].start 307.88159375
transcript.pyannote[130].end 316.33596875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 314.63159375
transcript.pyannote[131].end 318.05721875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 318.32721875
transcript.pyannote[132].end 320.62221875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 321.02721875
transcript.pyannote[133].end 322.22534375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 322.49534375
transcript.pyannote[134].end 322.81596875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 323.10284375
transcript.pyannote[135].end 324.62159375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 325.16159375
transcript.pyannote[136].end 328.03034375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 328.35096875
transcript.pyannote[137].end 330.12284375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 330.42659375
transcript.pyannote[138].end 333.34596875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 333.70034375
transcript.pyannote[139].end 334.42596875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 334.91534375
transcript.pyannote[140].end 335.65784375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 336.28221875
transcript.pyannote[141].end 340.63596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 340.72034375
transcript.pyannote[142].end 343.42034375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 343.99409375
transcript.pyannote[143].end 347.26784375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 347.90909375
transcript.pyannote[144].end 350.33909375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 350.64284375
transcript.pyannote[145].end 351.36846875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 352.19534375
transcript.pyannote[146].end 352.98846875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 353.39346875
transcript.pyannote[147].end 354.40596875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 354.82784375
transcript.pyannote[148].end 355.95846875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 356.53221875
transcript.pyannote[149].end 358.38846875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 359.14784375
transcript.pyannote[150].end 360.05909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 360.27846875
transcript.pyannote[151].end 361.45971875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 361.86471875
transcript.pyannote[152].end 366.43784375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 367.23096875
transcript.pyannote[153].end 369.45846875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 369.98159375
transcript.pyannote[154].end 372.05721875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 372.98534375
transcript.pyannote[155].end 377.89596875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 378.19971875
transcript.pyannote[156].end 379.24596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 379.53284375
transcript.pyannote[157].end 381.01784375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 381.40596875
transcript.pyannote[158].end 383.46471875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 383.76846875
transcript.pyannote[159].end 386.14784375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 386.45159375
transcript.pyannote[160].end 387.41346875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 388.08846875
transcript.pyannote[161].end 389.94471875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 391.02471875
transcript.pyannote[162].end 392.54346875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 392.79659375
transcript.pyannote[163].end 393.08346875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 393.62346875
transcript.pyannote[164].end 395.36159375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 395.83409375
transcript.pyannote[165].end 396.89721875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 397.23471875
transcript.pyannote[166].end 398.68596875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 399.19221875
transcript.pyannote[167].end 401.25096875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 401.74034375
transcript.pyannote[168].end 403.27596875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 403.49534375
transcript.pyannote[169].end 404.60909375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 404.84534375
transcript.pyannote[170].end 407.95034375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 408.52409375
transcript.pyannote[171].end 409.75596875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 410.14409375
transcript.pyannote[172].end 413.01284375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 413.35034375
transcript.pyannote[173].end 415.51034375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 415.93221875
transcript.pyannote[174].end 416.94471875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 416.97846875
transcript.pyannote[175].end 418.48034375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 418.86846875
transcript.pyannote[176].end 419.25659375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 419.47596875
transcript.pyannote[177].end 424.03221875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 424.36971875
transcript.pyannote[178].end 429.16221875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 429.31409375
transcript.pyannote[179].end 430.46159375
transcript.pyannote[180].speaker SPEAKER_06
transcript.pyannote[180].start 431.35596875
transcript.pyannote[180].end 436.80659375
transcript.pyannote[181].speaker SPEAKER_06
transcript.pyannote[181].start 437.09346875
transcript.pyannote[181].end 439.70909375
transcript.pyannote[182].speaker SPEAKER_06
transcript.pyannote[182].start 440.16471875
transcript.pyannote[182].end 449.86784375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 446.83034375
transcript.pyannote[183].end 459.85784375
transcript.pyannote[184].speaker SPEAKER_06
transcript.pyannote[184].start 450.45846875
transcript.pyannote[184].end 450.62721875
transcript.pyannote[185].speaker SPEAKER_06
transcript.pyannote[185].start 456.43221875
transcript.pyannote[185].end 474.80909375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 472.81784375
transcript.pyannote[186].end 474.60659375
transcript.pyannote[187].speaker SPEAKER_06
transcript.pyannote[187].start 475.18034375
transcript.pyannote[187].end 475.19721875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 475.19721875
transcript.pyannote[188].end 480.56346875
transcript.pyannote[189].speaker SPEAKER_06
transcript.pyannote[189].start 475.75409375
transcript.pyannote[189].end 476.34471875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 481.54221875
transcript.pyannote[190].end 482.08221875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 482.33534375
transcript.pyannote[191].end 485.18721875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 485.59221875
transcript.pyannote[192].end 486.89159375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 487.65096875
transcript.pyannote[193].end 490.18221875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 490.60409375
transcript.pyannote[194].end 493.25346875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 493.74284375
transcript.pyannote[195].end 496.71284375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 497.32034375
transcript.pyannote[196].end 500.17221875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 500.44221875
transcript.pyannote[197].end 501.96096875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 502.21409375
transcript.pyannote[198].end 503.83409375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 504.10409375
transcript.pyannote[199].end 505.52159375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 505.82534375
transcript.pyannote[200].end 506.65221875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 506.95596875
transcript.pyannote[201].end 507.88409375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 508.25534375
transcript.pyannote[202].end 509.13284375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 509.60534375
transcript.pyannote[203].end 510.95534375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 511.34346875
transcript.pyannote[204].end 514.26284375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 514.87034375
transcript.pyannote[205].end 516.33846875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 516.84471875
transcript.pyannote[206].end 518.44784375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 519.05534375
transcript.pyannote[207].end 522.09284375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 522.29534375
transcript.pyannote[208].end 525.31596875
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 526.49721875
transcript.pyannote[209].end 533.17971875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 526.66596875
transcript.pyannote[210].end 527.03721875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 533.48346875
transcript.pyannote[211].end 536.04846875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 536.35221875
transcript.pyannote[212].end 538.51221875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 539.06909375
transcript.pyannote[213].end 540.82409375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 541.24596875
transcript.pyannote[214].end 543.03471875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 543.38909375
transcript.pyannote[215].end 544.90784375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 545.49846875
transcript.pyannote[216].end 548.04659375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 548.55284375
transcript.pyannote[217].end 549.76784375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 550.17284375
transcript.pyannote[218].end 551.91096875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 552.19784375
transcript.pyannote[219].end 553.44659375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 554.07096875
transcript.pyannote[220].end 558.91409375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 559.21784375
transcript.pyannote[221].end 560.51721875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 560.98971875
transcript.pyannote[222].end 562.69409375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 563.13284375
transcript.pyannote[223].end 565.91721875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 566.62596875
transcript.pyannote[224].end 568.38096875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 569.17409375
transcript.pyannote[225].end 572.59971875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 573.07221875
transcript.pyannote[226].end 577.22346875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 577.59471875
transcript.pyannote[227].end 580.26096875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 580.59846875
transcript.pyannote[228].end 581.18909375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 581.42534375
transcript.pyannote[229].end 585.01971875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 585.40784375
transcript.pyannote[230].end 587.06159375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 587.39909375
transcript.pyannote[231].end 589.69409375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 590.09909375
transcript.pyannote[232].end 591.80346875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 592.15784375
transcript.pyannote[233].end 595.27971875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 595.71846875
transcript.pyannote[234].end 598.51971875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 598.90784375
transcript.pyannote[235].end 600.17346875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 601.18596875
transcript.pyannote[236].end 601.57409375
transcript.pyannote[237].speaker SPEAKER_05
transcript.pyannote[237].start 601.57409375
transcript.pyannote[237].end 601.59096875
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 601.59096875
transcript.pyannote[238].end 601.69221875
transcript.pyannote[239].speaker SPEAKER_05
transcript.pyannote[239].start 601.69221875
transcript.pyannote[239].end 601.91159375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 601.91159375
transcript.pyannote[240].end 601.92846875
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 602.01284375
transcript.pyannote[241].end 608.74596875
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 608.96534375
transcript.pyannote[242].end 625.75596875
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 625.75596875
transcript.pyannote[243].end 625.84034375
transcript.pyannote[244].speaker SPEAKER_05
transcript.pyannote[244].start 625.84034375
transcript.pyannote[244].end 626.21159375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 626.21159375
transcript.pyannote[245].end 626.22846875
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 626.22846875
transcript.pyannote[246].end 626.39721875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 626.39721875
transcript.pyannote[247].end 626.44784375
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 626.44784375
transcript.pyannote[248].end 626.61659375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 626.61659375
transcript.pyannote[249].end 626.63346875
transcript.pyannote[250].speaker SPEAKER_05
transcript.pyannote[250].start 626.63346875
transcript.pyannote[250].end 626.75159375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 626.75159375
transcript.pyannote[251].end 626.78534375
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 626.78534375
transcript.pyannote[252].end 626.83596875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 626.83596875
transcript.pyannote[253].end 628.30409375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 628.70909375
transcript.pyannote[254].end 629.87346875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 629.94096875
transcript.pyannote[255].end 638.80034375
transcript.pyannote[256].speaker SPEAKER_05
transcript.pyannote[256].start 632.18534375
transcript.pyannote[256].end 635.89784375
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 636.72471875
transcript.pyannote[257].end 636.92721875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 637.41659375
transcript.pyannote[258].end 637.68659375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 639.35721875
transcript.pyannote[259].end 645.17909375
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 645.48284375
transcript.pyannote[260].end 647.35596875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 647.67659375
transcript.pyannote[261].end 650.54534375
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 650.93346875
transcript.pyannote[262].end 652.19909375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 652.84034375
transcript.pyannote[263].end 658.35846875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 658.69596875
transcript.pyannote[264].end 660.19784375
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 660.61971875
transcript.pyannote[265].end 663.16784375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 663.70784375
transcript.pyannote[266].end 665.15909375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 665.78346875
transcript.pyannote[267].end 667.69034375
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 668.19659375
transcript.pyannote[268].end 670.08659375
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 670.57596875
transcript.pyannote[269].end 674.45721875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 674.79471875
transcript.pyannote[270].end 676.75221875
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 677.52846875
transcript.pyannote[271].end 678.82784375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 679.31721875
transcript.pyannote[272].end 681.35909375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 681.86534375
transcript.pyannote[273].end 685.47659375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 685.94909375
transcript.pyannote[274].end 689.50971875
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 690.06659375
transcript.pyannote[275].end 693.07034375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 693.59346875
transcript.pyannote[276].end 695.02784375
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 695.48346875
transcript.pyannote[277].end 696.73221875
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 697.28909375
transcript.pyannote[278].end 699.43221875
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 700.19159375
transcript.pyannote[279].end 701.37284375
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 701.77784375
transcript.pyannote[280].end 703.34721875
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 703.39784375
transcript.pyannote[281].end 708.61221875
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 708.66284375
transcript.pyannote[282].end 721.87596875
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 721.87596875
transcript.pyannote[283].end 725.72346875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 726.22971875
transcript.pyannote[284].end 729.62159375
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 730.19534375
transcript.pyannote[285].end 733.53659375
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 734.09346875
transcript.pyannote[286].end 737.68784375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 738.02534375
transcript.pyannote[287].end 740.84346875
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 741.40034375
transcript.pyannote[288].end 754.96784375
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 749.70284375
transcript.pyannote[289].end 749.77034375
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 749.87159375
transcript.pyannote[290].end 750.58034375
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 750.58034375
transcript.pyannote[291].end 750.96846875
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 751.15409375
transcript.pyannote[292].end 751.27221875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 751.27221875
transcript.pyannote[293].end 751.39034375
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 751.39034375
transcript.pyannote[294].end 751.57596875
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 754.96784375
transcript.pyannote[295].end 755.03534375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 755.03534375
transcript.pyannote[296].end 755.06909375
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 755.44034375
transcript.pyannote[297].end 755.96346875
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 755.96346875
transcript.pyannote[298].end 756.03096875
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 756.03096875
transcript.pyannote[299].end 756.30096875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 756.30096875
transcript.pyannote[300].end 757.31346875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 757.44846875
transcript.pyannote[301].end 761.26221875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 760.21596875
transcript.pyannote[302].end 762.15659375
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 762.15659375
transcript.pyannote[303].end 762.17346875
transcript.pyannote[304].speaker SPEAKER_02
transcript.pyannote[304].start 762.17346875
transcript.pyannote[304].end 762.20721875
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 762.20721875
transcript.pyannote[305].end 762.42659375
transcript.pyannote[306].speaker SPEAKER_02
transcript.pyannote[306].start 762.42659375
transcript.pyannote[306].end 762.46034375
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 762.46034375
transcript.pyannote[307].end 766.64534375
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 767.23596875
transcript.pyannote[308].end 768.28221875
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 768.92346875
transcript.pyannote[309].end 771.53909375
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 772.18034375
transcript.pyannote[310].end 774.84659375
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 775.74096875
transcript.pyannote[311].end 778.17096875
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 778.35659375
transcript.pyannote[312].end 780.02721875
transcript.pyannote[313].speaker SPEAKER_01
transcript.pyannote[313].start 780.63471875
transcript.pyannote[313].end 783.38534375
transcript.pyannote[314].speaker SPEAKER_01
transcript.pyannote[314].start 783.70596875
transcript.pyannote[314].end 785.93346875
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 786.47346875
transcript.pyannote[315].end 789.61221875
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 789.69659375
transcript.pyannote[316].end 791.35034375
transcript.pyannote[317].speaker SPEAKER_01
transcript.pyannote[317].start 791.35034375
transcript.pyannote[317].end 792.12659375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 792.46409375
transcript.pyannote[318].end 795.70409375
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 795.99096875
transcript.pyannote[319].end 797.56034375
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 798.23534375
transcript.pyannote[320].end 800.44596875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 801.01971875
transcript.pyannote[321].end 803.95596875
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 804.29346875
transcript.pyannote[322].end 804.71534375
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 805.64346875
transcript.pyannote[323].end 807.55034375
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 808.17471875
transcript.pyannote[324].end 808.91721875
transcript.pyannote[325].speaker SPEAKER_01
transcript.pyannote[325].start 809.62596875
transcript.pyannote[325].end 812.35971875
transcript.pyannote[326].speaker SPEAKER_01
transcript.pyannote[326].start 813.08534375
transcript.pyannote[326].end 814.82346875
transcript.pyannote[327].speaker SPEAKER_01
transcript.pyannote[327].start 815.22846875
transcript.pyannote[327].end 817.43909375
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 817.87784375
transcript.pyannote[328].end 819.68346875
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 821.65784375
transcript.pyannote[329].end 823.22721875
transcript.pyannote[330].speaker SPEAKER_01
transcript.pyannote[330].start 823.68284375
transcript.pyannote[330].end 826.38284375
transcript.pyannote[331].speaker SPEAKER_01
transcript.pyannote[331].start 827.14221875
transcript.pyannote[331].end 830.14596875
transcript.pyannote[332].speaker SPEAKER_01
transcript.pyannote[332].start 831.07409375
transcript.pyannote[332].end 833.47034375
transcript.pyannote[333].speaker SPEAKER_01
transcript.pyannote[333].start 834.07784375
transcript.pyannote[333].end 836.22096875
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 836.64284375
transcript.pyannote[334].end 840.01784375
transcript.pyannote[335].speaker SPEAKER_01
transcript.pyannote[335].start 840.55784375
transcript.pyannote[335].end 842.43096875
transcript.pyannote[336].speaker SPEAKER_01
transcript.pyannote[336].start 843.35909375
transcript.pyannote[336].end 846.16034375
transcript.pyannote[337].speaker SPEAKER_01
transcript.pyannote[337].start 846.32909375
transcript.pyannote[337].end 848.48909375
transcript.pyannote[338].speaker SPEAKER_01
transcript.pyannote[338].start 849.28221875
transcript.pyannote[338].end 850.21034375
transcript.pyannote[339].speaker SPEAKER_01
transcript.pyannote[339].start 850.42971875
transcript.pyannote[339].end 851.72909375
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 852.11721875
transcript.pyannote[340].end 853.51784375
transcript.pyannote[341].speaker SPEAKER_01
transcript.pyannote[341].start 853.85534375
transcript.pyannote[341].end 855.82971875
transcript.pyannote[342].speaker SPEAKER_01
transcript.pyannote[342].start 856.31909375
transcript.pyannote[342].end 864.75659375
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 865.36409375
transcript.pyannote[343].end 868.82346875
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 869.02596875
transcript.pyannote[344].end 872.02971875
transcript.pyannote[345].speaker SPEAKER_01
transcript.pyannote[345].start 872.45159375
transcript.pyannote[345].end 876.92346875
transcript.pyannote[346].speaker SPEAKER_01
transcript.pyannote[346].start 877.53096875
transcript.pyannote[346].end 879.16784375
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 879.62346875
transcript.pyannote[347].end 881.00721875
transcript.pyannote[348].speaker SPEAKER_01
transcript.pyannote[348].start 881.71596875
transcript.pyannote[348].end 883.79159375
transcript.pyannote[349].speaker SPEAKER_01
transcript.pyannote[349].start 884.53409375
transcript.pyannote[349].end 888.31409375
transcript.pyannote[350].speaker SPEAKER_01
transcript.pyannote[350].start 888.98909375
transcript.pyannote[350].end 891.30096875
transcript.pyannote[351].speaker SPEAKER_01
transcript.pyannote[351].start 891.82409375
transcript.pyannote[351].end 893.56221875
transcript.pyannote[352].speaker SPEAKER_01
transcript.pyannote[352].start 894.03471875
transcript.pyannote[352].end 898.32096875
transcript.pyannote[353].speaker SPEAKER_01
transcript.pyannote[353].start 898.55721875
transcript.pyannote[353].end 901.42596875
transcript.pyannote[354].speaker SPEAKER_01
transcript.pyannote[354].start 901.99971875
transcript.pyannote[354].end 905.62784375
transcript.pyannote[355].speaker SPEAKER_01
transcript.pyannote[355].start 906.70784375
transcript.pyannote[355].end 910.84221875
transcript.pyannote[356].speaker SPEAKER_01
transcript.pyannote[356].start 911.21346875
transcript.pyannote[356].end 913.15409375
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 913.64346875
transcript.pyannote[357].end 915.85409375
transcript.pyannote[358].speaker SPEAKER_01
transcript.pyannote[358].start 916.79909375
transcript.pyannote[358].end 918.46971875
transcript.pyannote[359].speaker SPEAKER_01
transcript.pyannote[359].start 918.99284375
transcript.pyannote[359].end 921.40596875
transcript.pyannote[360].speaker SPEAKER_01
transcript.pyannote[360].start 921.89534375
transcript.pyannote[360].end 925.33784375
transcript.pyannote[361].speaker SPEAKER_01
transcript.pyannote[361].start 925.74284375
transcript.pyannote[361].end 930.45096875
transcript.pyannote[362].speaker SPEAKER_01
transcript.pyannote[362].start 931.05846875
transcript.pyannote[362].end 933.52221875
transcript.pyannote[363].speaker SPEAKER_01
transcript.pyannote[363].start 933.96096875
transcript.pyannote[363].end 938.48346875
transcript.pyannote[364].speaker SPEAKER_01
transcript.pyannote[364].start 938.87159375
transcript.pyannote[364].end 943.56284375
transcript.pyannote[365].speaker SPEAKER_01
transcript.pyannote[365].start 944.18721875
transcript.pyannote[365].end 945.03096875
transcript.pyannote[366].speaker SPEAKER_01
transcript.pyannote[366].start 946.60034375
transcript.pyannote[366].end 946.61721875
transcript.pyannote[367].speaker SPEAKER_00
transcript.pyannote[367].start 946.61721875
transcript.pyannote[367].end 947.29221875
transcript.pyannote[368].speaker SPEAKER_01
transcript.pyannote[368].start 947.95034375
transcript.pyannote[368].end 947.96721875
transcript.pyannote[369].speaker SPEAKER_00
transcript.pyannote[369].start 947.96721875
transcript.pyannote[369].end 949.31721875
transcript.pyannote[370].speaker SPEAKER_00
transcript.pyannote[370].start 949.73909375
transcript.pyannote[370].end 955.27409375
transcript.pyannote[371].speaker SPEAKER_00
transcript.pyannote[371].start 955.62846875
transcript.pyannote[371].end 960.58971875
transcript.pyannote[372].speaker SPEAKER_00
transcript.pyannote[372].start 961.31534375
transcript.pyannote[372].end 964.04909375
transcript.pyannote[373].speaker SPEAKER_00
transcript.pyannote[373].start 964.26846875
transcript.pyannote[373].end 966.29346875
transcript.pyannote[374].speaker SPEAKER_00
transcript.pyannote[374].start 966.66471875
transcript.pyannote[374].end 968.13284375
transcript.pyannote[375].speaker SPEAKER_00
transcript.pyannote[375].start 968.80784375
transcript.pyannote[375].end 969.63471875
transcript.pyannote[376].speaker SPEAKER_00
transcript.pyannote[376].start 969.88784375
transcript.pyannote[376].end 972.62159375
transcript.pyannote[377].speaker SPEAKER_00
transcript.pyannote[377].start 973.43159375
transcript.pyannote[377].end 984.55221875
transcript.pyannote[378].speaker SPEAKER_01
transcript.pyannote[378].start 976.21596875
transcript.pyannote[378].end 977.14409375
transcript.pyannote[379].speaker SPEAKER_01
transcript.pyannote[379].start 977.70096875
transcript.pyannote[379].end 978.20721875
transcript.pyannote[380].speaker SPEAKER_00
transcript.pyannote[380].start 985.53096875
transcript.pyannote[380].end 989.10846875
transcript.pyannote[381].speaker SPEAKER_00
transcript.pyannote[381].start 989.36159375
transcript.pyannote[381].end 992.70284375
transcript.pyannote[382].speaker SPEAKER_00
transcript.pyannote[382].start 993.31034375
transcript.pyannote[382].end 995.18346875
transcript.pyannote[383].speaker SPEAKER_00
transcript.pyannote[383].start 995.94284375
transcript.pyannote[383].end 999.52034375
transcript.pyannote[384].speaker SPEAKER_00
transcript.pyannote[384].start 999.73971875
transcript.pyannote[384].end 1004.19471875
transcript.pyannote[385].speaker SPEAKER_00
transcript.pyannote[385].start 1004.59971875
transcript.pyannote[385].end 1009.86471875
transcript.pyannote[386].speaker SPEAKER_00
transcript.pyannote[386].start 1010.26971875
transcript.pyannote[386].end 1011.29909375
transcript.pyannote[387].speaker SPEAKER_00
transcript.pyannote[387].start 1011.43409375
transcript.pyannote[387].end 1014.23534375
transcript.pyannote[388].speaker SPEAKER_01
transcript.pyannote[388].start 1013.12159375
transcript.pyannote[388].end 1014.20159375
transcript.pyannote[389].speaker SPEAKER_01
transcript.pyannote[389].start 1014.23534375
transcript.pyannote[389].end 1014.30284375
transcript.pyannote[390].speaker SPEAKER_00
transcript.pyannote[390].start 1014.30284375
transcript.pyannote[390].end 1014.97784375
transcript.pyannote[391].speaker SPEAKER_01
transcript.pyannote[391].start 1014.97784375
transcript.pyannote[391].end 1019.53409375
transcript.pyannote[392].speaker SPEAKER_01
transcript.pyannote[392].start 1019.82096875
transcript.pyannote[392].end 1022.13284375
transcript.pyannote[393].speaker SPEAKER_01
transcript.pyannote[393].start 1022.43659375
transcript.pyannote[393].end 1026.01409375
transcript.pyannote[394].speaker SPEAKER_00
transcript.pyannote[394].start 1022.52096875
transcript.pyannote[394].end 1028.91659375
transcript.pyannote[395].speaker SPEAKER_00
transcript.pyannote[395].start 1028.93346875
transcript.pyannote[395].end 1042.07909375
transcript.pyannote[396].speaker SPEAKER_01
transcript.pyannote[396].start 1036.24034375
transcript.pyannote[396].end 1038.68721875
transcript.pyannote[397].speaker SPEAKER_01
transcript.pyannote[397].start 1042.18034375
transcript.pyannote[397].end 1042.87221875
transcript.pyannote[398].speaker SPEAKER_00
transcript.pyannote[398].start 1042.87221875
transcript.pyannote[398].end 1043.31096875
transcript.pyannote[399].speaker SPEAKER_01
transcript.pyannote[399].start 1044.23909375
transcript.pyannote[399].end 1046.17971875
transcript.pyannote[400].speaker SPEAKER_03
transcript.pyannote[400].start 1046.75346875
transcript.pyannote[400].end 1047.02346875
transcript.pyannote[401].speaker SPEAKER_01
transcript.pyannote[401].start 1046.95596875
transcript.pyannote[401].end 1049.30159375
transcript.pyannote[402].speaker SPEAKER_01
transcript.pyannote[402].start 1050.04409375
transcript.pyannote[402].end 1051.61346875
transcript.pyannote[403].speaker SPEAKER_01
transcript.pyannote[403].start 1052.54159375
transcript.pyannote[403].end 1053.67221875
transcript.pyannote[404].speaker SPEAKER_01
transcript.pyannote[404].start 1053.73971875
transcript.pyannote[404].end 1056.25409375
transcript.pyannote[405].speaker SPEAKER_01
transcript.pyannote[405].start 1056.64221875
transcript.pyannote[405].end 1057.43534375
transcript.pyannote[406].speaker SPEAKER_01
transcript.pyannote[406].start 1058.09346875
transcript.pyannote[406].end 1060.11846875
transcript.pyannote[407].speaker SPEAKER_01
transcript.pyannote[407].start 1060.91159375
transcript.pyannote[407].end 1062.10971875
transcript.pyannote[408].speaker SPEAKER_01
transcript.pyannote[408].start 1063.34159375
transcript.pyannote[408].end 1065.26534375
transcript.pyannote[409].speaker SPEAKER_01
transcript.pyannote[409].start 1066.09221875
transcript.pyannote[409].end 1067.99909375
transcript.pyannote[410].speaker SPEAKER_01
transcript.pyannote[410].start 1068.96096875
transcript.pyannote[410].end 1071.44159375
transcript.pyannote[411].speaker SPEAKER_01
transcript.pyannote[411].start 1071.62721875
transcript.pyannote[411].end 1072.92659375
transcript.pyannote[412].speaker SPEAKER_01
transcript.pyannote[412].start 1073.48346875
transcript.pyannote[412].end 1077.11159375
transcript.pyannote[413].speaker SPEAKER_01
transcript.pyannote[413].start 1077.70221875
transcript.pyannote[413].end 1078.71471875
transcript.pyannote[414].speaker SPEAKER_01
transcript.pyannote[414].start 1079.23784375
transcript.pyannote[414].end 1081.60034375
transcript.pyannote[415].speaker SPEAKER_01
transcript.pyannote[415].start 1081.98846875
transcript.pyannote[415].end 1083.55784375
transcript.pyannote[416].speaker SPEAKER_01
transcript.pyannote[416].start 1083.79409375
transcript.pyannote[416].end 1084.94159375
transcript.pyannote[417].speaker SPEAKER_01
transcript.pyannote[417].start 1085.63346875
transcript.pyannote[417].end 1089.59909375
transcript.pyannote[418].speaker SPEAKER_01
transcript.pyannote[418].start 1090.24034375
transcript.pyannote[418].end 1093.71659375
transcript.pyannote[419].speaker SPEAKER_01
transcript.pyannote[419].start 1094.29034375
transcript.pyannote[419].end 1097.14221875
transcript.pyannote[420].speaker SPEAKER_01
transcript.pyannote[420].start 1097.86784375
transcript.pyannote[420].end 1099.99409375
transcript.pyannote[421].speaker SPEAKER_01
transcript.pyannote[421].start 1100.73659375
transcript.pyannote[421].end 1105.34346875
transcript.pyannote[422].speaker SPEAKER_01
transcript.pyannote[422].start 1105.71471875
transcript.pyannote[422].end 1107.21659375
transcript.pyannote[423].speaker SPEAKER_01
transcript.pyannote[423].start 1107.67221875
transcript.pyannote[423].end 1108.71846875
transcript.pyannote[424].speaker SPEAKER_01
transcript.pyannote[424].start 1109.29221875
transcript.pyannote[424].end 1111.78971875
transcript.pyannote[425].speaker SPEAKER_01
transcript.pyannote[425].start 1112.39721875
transcript.pyannote[425].end 1114.62471875
transcript.pyannote[426].speaker SPEAKER_01
transcript.pyannote[426].start 1115.19846875
transcript.pyannote[426].end 1116.12659375
transcript.pyannote[427].speaker SPEAKER_01
transcript.pyannote[427].start 1116.86909375
transcript.pyannote[427].end 1117.18971875
transcript.pyannote[428].speaker SPEAKER_01
transcript.pyannote[428].start 1117.91534375
transcript.pyannote[428].end 1119.16409375
transcript.pyannote[429].speaker SPEAKER_01
transcript.pyannote[429].start 1120.26096875
transcript.pyannote[429].end 1121.50971875
transcript.pyannote[430].speaker SPEAKER_01
transcript.pyannote[430].start 1122.30284375
transcript.pyannote[430].end 1123.43346875
transcript.pyannote[431].speaker SPEAKER_01
transcript.pyannote[431].start 1123.45034375
transcript.pyannote[431].end 1124.32784375
transcript.pyannote[432].speaker SPEAKER_01
transcript.pyannote[432].start 1127.28096875
transcript.pyannote[432].end 1128.12471875
transcript.pyannote[433].speaker SPEAKER_01
transcript.pyannote[433].start 1128.41159375
transcript.pyannote[433].end 1130.84159375
transcript.pyannote[434].speaker SPEAKER_01
transcript.pyannote[434].start 1131.39846875
transcript.pyannote[434].end 1133.20409375
transcript.pyannote[435].speaker SPEAKER_01
transcript.pyannote[435].start 1133.99721875
transcript.pyannote[435].end 1135.71846875
transcript.pyannote[436].speaker SPEAKER_01
transcript.pyannote[436].start 1136.14034375
transcript.pyannote[436].end 1138.30034375
transcript.pyannote[437].speaker SPEAKER_01
transcript.pyannote[437].start 1138.73909375
transcript.pyannote[437].end 1144.86471875
transcript.pyannote[438].speaker SPEAKER_01
transcript.pyannote[438].start 1145.26971875
transcript.pyannote[438].end 1147.48034375
transcript.pyannote[439].speaker SPEAKER_01
transcript.pyannote[439].start 1148.03721875
transcript.pyannote[439].end 1150.50096875
transcript.pyannote[440].speaker SPEAKER_01
transcript.pyannote[440].start 1151.14221875
transcript.pyannote[440].end 1152.98159375
transcript.pyannote[441].speaker SPEAKER_01
transcript.pyannote[441].start 1153.43721875
transcript.pyannote[441].end 1153.77471875
transcript.pyannote[442].speaker SPEAKER_01
transcript.pyannote[442].start 1154.17971875
transcript.pyannote[442].end 1158.26346875
transcript.pyannote[443].speaker SPEAKER_01
transcript.pyannote[443].start 1158.82034375
transcript.pyannote[443].end 1160.54159375
transcript.pyannote[444].speaker SPEAKER_01
transcript.pyannote[444].start 1161.18284375
transcript.pyannote[444].end 1163.29221875
transcript.pyannote[445].speaker SPEAKER_01
transcript.pyannote[445].start 1163.64659375
transcript.pyannote[445].end 1164.82784375
transcript.pyannote[446].speaker SPEAKER_01
transcript.pyannote[446].start 1165.38471875
transcript.pyannote[446].end 1166.26221875
transcript.pyannote[447].speaker SPEAKER_01
transcript.pyannote[447].start 1166.81909375
transcript.pyannote[447].end 1168.28721875
transcript.pyannote[448].speaker SPEAKER_01
transcript.pyannote[448].start 1168.79346875
transcript.pyannote[448].end 1169.23221875
transcript.pyannote[449].speaker SPEAKER_01
transcript.pyannote[449].start 1169.60346875
transcript.pyannote[449].end 1171.37534375
transcript.pyannote[450].speaker SPEAKER_01
transcript.pyannote[450].start 1172.52284375
transcript.pyannote[450].end 1173.88971875
transcript.pyannote[451].speaker SPEAKER_01
transcript.pyannote[451].start 1174.44659375
transcript.pyannote[451].end 1177.43346875
transcript.pyannote[452].speaker SPEAKER_01
transcript.pyannote[452].start 1178.09159375
transcript.pyannote[452].end 1180.36971875
transcript.pyannote[453].speaker SPEAKER_01
transcript.pyannote[453].start 1181.48346875
transcript.pyannote[453].end 1182.56346875
transcript.pyannote[454].speaker SPEAKER_01
transcript.pyannote[454].start 1182.93471875
transcript.pyannote[454].end 1184.30159375
transcript.pyannote[455].speaker SPEAKER_01
transcript.pyannote[455].start 1184.68971875
transcript.pyannote[455].end 1186.05659375
transcript.pyannote[456].speaker SPEAKER_01
transcript.pyannote[456].start 1186.57971875
transcript.pyannote[456].end 1189.36409375
transcript.pyannote[457].speaker SPEAKER_01
transcript.pyannote[457].start 1189.93784375
transcript.pyannote[457].end 1192.38471875
transcript.pyannote[458].speaker SPEAKER_01
transcript.pyannote[458].start 1192.97534375
transcript.pyannote[458].end 1193.92034375
transcript.pyannote[459].speaker SPEAKER_01
transcript.pyannote[459].start 1194.73034375
transcript.pyannote[459].end 1195.67534375
transcript.pyannote[460].speaker SPEAKER_01
transcript.pyannote[460].start 1196.55284375
transcript.pyannote[460].end 1197.90284375
transcript.pyannote[461].speaker SPEAKER_01
transcript.pyannote[461].start 1198.99971875
transcript.pyannote[461].end 1201.34534375
transcript.pyannote[462].speaker SPEAKER_01
transcript.pyannote[462].start 1202.00346875
transcript.pyannote[462].end 1205.19284375
transcript.pyannote[463].speaker SPEAKER_03
transcript.pyannote[463].start 1205.19284375
transcript.pyannote[463].end 1205.32784375
transcript.pyannote[464].speaker SPEAKER_01
transcript.pyannote[464].start 1205.51346875
transcript.pyannote[464].end 1208.41596875
transcript.pyannote[465].speaker SPEAKER_01
transcript.pyannote[465].start 1209.24284375
transcript.pyannote[465].end 1211.09909375
transcript.pyannote[466].speaker SPEAKER_01
transcript.pyannote[466].start 1211.65596875
transcript.pyannote[466].end 1212.87096875
transcript.pyannote[467].speaker SPEAKER_01
transcript.pyannote[467].start 1213.49534375
transcript.pyannote[467].end 1215.01409375
transcript.pyannote[468].speaker SPEAKER_01
transcript.pyannote[468].start 1215.65534375
transcript.pyannote[468].end 1217.79846875
transcript.pyannote[469].speaker SPEAKER_01
transcript.pyannote[469].start 1217.96721875
transcript.pyannote[469].end 1218.94596875
transcript.pyannote[470].speaker SPEAKER_01
transcript.pyannote[470].start 1219.31721875
transcript.pyannote[470].end 1220.70096875
transcript.pyannote[471].speaker SPEAKER_01
transcript.pyannote[471].start 1221.40971875
transcript.pyannote[471].end 1224.88596875
transcript.pyannote[472].speaker SPEAKER_01
transcript.pyannote[472].start 1225.66221875
transcript.pyannote[472].end 1227.88971875
transcript.pyannote[473].speaker SPEAKER_01
transcript.pyannote[473].start 1228.58159375
transcript.pyannote[473].end 1229.93159375
transcript.pyannote[474].speaker SPEAKER_01
transcript.pyannote[474].start 1230.57284375
transcript.pyannote[474].end 1232.53034375
transcript.pyannote[475].speaker SPEAKER_01
transcript.pyannote[475].start 1233.05346875
transcript.pyannote[475].end 1234.21784375
transcript.pyannote[476].speaker SPEAKER_01
transcript.pyannote[476].start 1234.77471875
transcript.pyannote[476].end 1236.86721875
transcript.pyannote[477].speaker SPEAKER_01
transcript.pyannote[477].start 1237.44096875
transcript.pyannote[477].end 1240.73159375
transcript.pyannote[478].speaker SPEAKER_01
transcript.pyannote[478].start 1241.15346875
transcript.pyannote[478].end 1242.62159375
transcript.pyannote[479].speaker SPEAKER_01
transcript.pyannote[479].start 1243.07721875
transcript.pyannote[479].end 1246.50284375
transcript.pyannote[480].speaker SPEAKER_01
transcript.pyannote[480].start 1246.92471875
transcript.pyannote[480].end 1249.40534375
transcript.pyannote[481].speaker SPEAKER_01
transcript.pyannote[481].start 1249.75971875
transcript.pyannote[481].end 1250.97471875
transcript.pyannote[482].speaker SPEAKER_01
transcript.pyannote[482].start 1252.35846875
transcript.pyannote[482].end 1254.85596875
transcript.pyannote[483].speaker SPEAKER_01
transcript.pyannote[483].start 1255.22721875
transcript.pyannote[483].end 1255.98659375
transcript.pyannote[484].speaker SPEAKER_01
transcript.pyannote[484].start 1256.62784375
transcript.pyannote[484].end 1258.97346875
transcript.pyannote[485].speaker SPEAKER_02
transcript.pyannote[485].start 1256.76284375
transcript.pyannote[485].end 1257.01596875
transcript.pyannote[486].speaker SPEAKER_02
transcript.pyannote[486].start 1258.97346875
transcript.pyannote[486].end 1259.04096875
transcript.pyannote[487].speaker SPEAKER_02
transcript.pyannote[487].start 1259.76659375
transcript.pyannote[487].end 1263.10784375
transcript.pyannote[488].speaker SPEAKER_02
transcript.pyannote[488].start 1263.49596875
transcript.pyannote[488].end 1266.39846875
transcript.pyannote[489].speaker SPEAKER_03
transcript.pyannote[489].start 1263.59721875
transcript.pyannote[489].end 1263.68159375
transcript.pyannote[490].speaker SPEAKER_01
transcript.pyannote[490].start 1263.68159375
transcript.pyannote[490].end 1263.76596875
transcript.pyannote[491].speaker SPEAKER_03
transcript.pyannote[491].start 1263.76596875
transcript.pyannote[491].end 1263.78284375
transcript.pyannote[492].speaker SPEAKER_00
transcript.pyannote[492].start 1263.78284375
transcript.pyannote[492].end 1263.83346875
transcript.pyannote[493].speaker SPEAKER_02
transcript.pyannote[493].start 1266.70221875
transcript.pyannote[493].end 1270.36409375
transcript.pyannote[494].speaker SPEAKER_02
transcript.pyannote[494].start 1270.65096875
transcript.pyannote[494].end 1273.60409375
transcript.pyannote[495].speaker SPEAKER_02
transcript.pyannote[495].start 1274.05971875
transcript.pyannote[495].end 1275.64596875
transcript.pyannote[496].speaker SPEAKER_02
transcript.pyannote[496].start 1276.21971875
transcript.pyannote[496].end 1280.64096875
transcript.pyannote[497].speaker SPEAKER_01
transcript.pyannote[497].start 1280.64096875
transcript.pyannote[497].end 1280.65784375
transcript.pyannote[498].speaker SPEAKER_02
transcript.pyannote[498].start 1281.73784375
transcript.pyannote[498].end 1281.75471875
transcript.pyannote[499].speaker SPEAKER_01
transcript.pyannote[499].start 1281.75471875
transcript.pyannote[499].end 1284.04971875
transcript.pyannote[500].speaker SPEAKER_01
transcript.pyannote[500].start 1284.53909375
transcript.pyannote[500].end 1286.63159375
transcript.pyannote[501].speaker SPEAKER_02
transcript.pyannote[501].start 1286.19284375
transcript.pyannote[501].end 1286.58096875
transcript.pyannote[502].speaker SPEAKER_02
transcript.pyannote[502].start 1286.63159375
transcript.pyannote[502].end 1286.68221875
transcript.pyannote[503].speaker SPEAKER_02
transcript.pyannote[503].start 1286.86784375
transcript.pyannote[503].end 1286.90159375
transcript.pyannote[504].speaker SPEAKER_01
transcript.pyannote[504].start 1286.90159375
transcript.pyannote[504].end 1286.96909375
transcript.pyannote[505].speaker SPEAKER_02
transcript.pyannote[505].start 1286.96909375
transcript.pyannote[505].end 1287.72846875
transcript.pyannote[506].speaker SPEAKER_01
transcript.pyannote[506].start 1286.98596875
transcript.pyannote[506].end 1290.83346875
transcript.pyannote[507].speaker SPEAKER_01
transcript.pyannote[507].start 1291.54221875
transcript.pyannote[507].end 1295.27159375
transcript.pyannote[508].speaker SPEAKER_02
transcript.pyannote[508].start 1291.57596875
transcript.pyannote[508].end 1292.55471875
transcript.pyannote[509].speaker SPEAKER_01
transcript.pyannote[509].start 1295.77784375
transcript.pyannote[509].end 1298.30909375
transcript.pyannote[510].speaker SPEAKER_02
transcript.pyannote[510].start 1298.30909375
transcript.pyannote[510].end 1298.32596875
transcript.pyannote[511].speaker SPEAKER_01
transcript.pyannote[511].start 1299.11909375
transcript.pyannote[511].end 1299.22034375
transcript.pyannote[512].speaker SPEAKER_02
transcript.pyannote[512].start 1299.22034375
transcript.pyannote[512].end 1300.03034375
transcript.pyannote[513].speaker SPEAKER_01
transcript.pyannote[513].start 1299.23721875
transcript.pyannote[513].end 1299.97971875
transcript.pyannote[514].speaker SPEAKER_02
transcript.pyannote[514].start 1300.33409375
transcript.pyannote[514].end 1302.03846875
transcript.pyannote[515].speaker SPEAKER_02
transcript.pyannote[515].start 1302.47721875
transcript.pyannote[515].end 1304.62034375
transcript.pyannote[516].speaker SPEAKER_02
transcript.pyannote[516].start 1305.07596875
transcript.pyannote[516].end 1306.18971875
transcript.pyannote[517].speaker SPEAKER_02
transcript.pyannote[517].start 1306.40909375
transcript.pyannote[517].end 1308.94034375
transcript.pyannote[518].speaker SPEAKER_02
transcript.pyannote[518].start 1309.15971875
transcript.pyannote[518].end 1309.76721875
transcript.pyannote[519].speaker SPEAKER_03
transcript.pyannote[519].start 1309.37909375
transcript.pyannote[519].end 1309.63221875
transcript.pyannote[520].speaker SPEAKER_02
transcript.pyannote[520].start 1309.86846875
transcript.pyannote[520].end 1316.60159375
transcript.pyannote[521].speaker SPEAKER_03
transcript.pyannote[521].start 1315.67346875
transcript.pyannote[521].end 1316.46659375
transcript.pyannote[522].speaker SPEAKER_02
transcript.pyannote[522].start 1316.75346875
transcript.pyannote[522].end 1319.03159375
transcript.pyannote[523].speaker SPEAKER_01
transcript.pyannote[523].start 1319.03159375
transcript.pyannote[523].end 1319.68971875
transcript.pyannote[524].speaker SPEAKER_02
transcript.pyannote[524].start 1320.36471875
transcript.pyannote[524].end 1320.38159375
transcript.pyannote[525].speaker SPEAKER_01
transcript.pyannote[525].start 1320.38159375
transcript.pyannote[525].end 1324.53284375
transcript.pyannote[526].speaker SPEAKER_02
transcript.pyannote[526].start 1323.03096875
transcript.pyannote[526].end 1323.53721875
transcript.pyannote[527].speaker SPEAKER_01
transcript.pyannote[527].start 1324.88721875
transcript.pyannote[527].end 1327.78971875
transcript.pyannote[528].speaker SPEAKER_03
transcript.pyannote[528].start 1325.07284375
transcript.pyannote[528].end 1325.08971875
transcript.pyannote[529].speaker SPEAKER_02
transcript.pyannote[529].start 1325.08971875
transcript.pyannote[529].end 1325.98409375
transcript.pyannote[530].speaker SPEAKER_03
transcript.pyannote[530].start 1325.98409375
transcript.pyannote[530].end 1326.06846875
transcript.pyannote[531].speaker SPEAKER_01
transcript.pyannote[531].start 1328.09346875
transcript.pyannote[531].end 1330.74284375
transcript.pyannote[532].speaker SPEAKER_01
transcript.pyannote[532].start 1330.97909375
transcript.pyannote[532].end 1334.89409375
transcript.pyannote[533].speaker SPEAKER_02
transcript.pyannote[533].start 1333.24034375
transcript.pyannote[533].end 1335.36659375
transcript.pyannote[534].speaker SPEAKER_01
transcript.pyannote[534].start 1335.36659375
transcript.pyannote[534].end 1337.35784375
transcript.pyannote[535].speaker SPEAKER_02
transcript.pyannote[535].start 1336.12596875
transcript.pyannote[535].end 1337.54346875
transcript.pyannote[536].speaker SPEAKER_01
transcript.pyannote[536].start 1337.54346875
transcript.pyannote[536].end 1337.59409375
transcript.pyannote[537].speaker SPEAKER_02
transcript.pyannote[537].start 1337.59409375
transcript.pyannote[537].end 1339.38284375
transcript.pyannote[538].speaker SPEAKER_01
transcript.pyannote[538].start 1338.01596875
transcript.pyannote[538].end 1339.28159375
transcript.pyannote[539].speaker SPEAKER_02
transcript.pyannote[539].start 1339.55159375
transcript.pyannote[539].end 1341.05346875
transcript.pyannote[540].speaker SPEAKER_02
transcript.pyannote[540].start 1341.25596875
transcript.pyannote[540].end 1341.93096875
transcript.pyannote[541].speaker SPEAKER_01
transcript.pyannote[541].start 1341.28971875
transcript.pyannote[541].end 1343.17971875
transcript.pyannote[542].speaker SPEAKER_01
transcript.pyannote[542].start 1343.44971875
transcript.pyannote[542].end 1345.03596875
transcript.pyannote[543].speaker SPEAKER_02
transcript.pyannote[543].start 1343.70284375
transcript.pyannote[543].end 1344.41159375
transcript.pyannote[544].speaker SPEAKER_01
transcript.pyannote[544].start 1345.76159375
transcript.pyannote[544].end 1346.21721875
transcript.pyannote[545].speaker SPEAKER_01
transcript.pyannote[545].start 1346.70659375
transcript.pyannote[545].end 1348.88346875
transcript.pyannote[546].speaker SPEAKER_05
transcript.pyannote[546].start 1350.04784375
transcript.pyannote[546].end 1353.01784375
transcript.pyannote[547].speaker SPEAKER_01
transcript.pyannote[547].start 1353.06846875
transcript.pyannote[547].end 1354.43534375
transcript.pyannote[548].speaker SPEAKER_01
transcript.pyannote[548].start 1354.84034375
transcript.pyannote[548].end 1360.66221875
transcript.pyannote[549].speaker SPEAKER_01
transcript.pyannote[549].start 1361.01659375
transcript.pyannote[549].end 1363.12596875
transcript.pyannote[550].speaker SPEAKER_05
transcript.pyannote[550].start 1361.16846875
transcript.pyannote[550].end 1368.20534375
transcript.pyannote[551].speaker SPEAKER_01
transcript.pyannote[551].start 1364.76284375
transcript.pyannote[551].end 1365.85971875
transcript.pyannote[552].speaker SPEAKER_02
transcript.pyannote[552].start 1365.85971875
transcript.pyannote[552].end 1376.60909375
transcript.pyannote[553].speaker SPEAKER_01
transcript.pyannote[553].start 1376.60909375
transcript.pyannote[553].end 1376.67659375
transcript.pyannote[554].speaker SPEAKER_01
transcript.pyannote[554].start 1376.86221875
transcript.pyannote[554].end 1376.89596875
transcript.pyannote[555].speaker SPEAKER_02
transcript.pyannote[555].start 1376.89596875
transcript.pyannote[555].end 1377.03096875
transcript.pyannote[556].speaker SPEAKER_01
transcript.pyannote[556].start 1377.03096875
transcript.pyannote[556].end 1378.02659375
transcript.pyannote[557].speaker SPEAKER_01
transcript.pyannote[557].start 1378.39784375
transcript.pyannote[557].end 1378.41471875
transcript.pyannote[558].speaker SPEAKER_02
transcript.pyannote[558].start 1378.41471875
transcript.pyannote[558].end 1383.05534375
transcript.pyannote[559].speaker SPEAKER_01
transcript.pyannote[559].start 1378.65096875
transcript.pyannote[559].end 1381.01346875
transcript.pyannote[560].speaker SPEAKER_01
transcript.pyannote[560].start 1381.89096875
transcript.pyannote[560].end 1384.38846875
transcript.pyannote[561].speaker SPEAKER_02
transcript.pyannote[561].start 1384.70909375
transcript.pyannote[561].end 1392.10034375
transcript.pyannote[562].speaker SPEAKER_01
transcript.pyannote[562].start 1389.67034375
transcript.pyannote[562].end 1390.15971875
transcript.pyannote[563].speaker SPEAKER_01
transcript.pyannote[563].start 1391.12159375
transcript.pyannote[563].end 1394.34471875
transcript.pyannote[564].speaker SPEAKER_02
transcript.pyannote[564].start 1393.14659375
transcript.pyannote[564].end 1401.02721875
transcript.pyannote[565].speaker SPEAKER_01
transcript.pyannote[565].start 1401.02721875
transcript.pyannote[565].end 1405.09409375
transcript.pyannote[566].speaker SPEAKER_02
transcript.pyannote[566].start 1401.09471875
transcript.pyannote[566].end 1401.53346875
transcript.pyannote[567].speaker SPEAKER_02
transcript.pyannote[567].start 1401.95534375
transcript.pyannote[567].end 1402.30971875
transcript.pyannote[568].speaker SPEAKER_01
transcript.pyannote[568].start 1405.66784375
transcript.pyannote[568].end 1407.76034375
transcript.pyannote[569].speaker SPEAKER_01
transcript.pyannote[569].start 1408.30034375
transcript.pyannote[569].end 1410.10596875
transcript.pyannote[570].speaker SPEAKER_01
transcript.pyannote[570].start 1410.61221875
transcript.pyannote[570].end 1413.05909375
transcript.pyannote[571].speaker SPEAKER_01
transcript.pyannote[571].start 1413.43034375
transcript.pyannote[571].end 1416.24846875
transcript.pyannote[572].speaker SPEAKER_01
transcript.pyannote[572].start 1416.75471875
transcript.pyannote[572].end 1418.52659375
transcript.pyannote[573].speaker SPEAKER_01
transcript.pyannote[573].start 1418.89784375
transcript.pyannote[573].end 1420.38284375
transcript.pyannote[574].speaker SPEAKER_01
transcript.pyannote[574].start 1420.78784375
transcript.pyannote[574].end 1422.13784375
transcript.pyannote[575].speaker SPEAKER_01
transcript.pyannote[575].start 1422.72846875
transcript.pyannote[575].end 1423.58909375
transcript.pyannote[576].speaker SPEAKER_01
transcript.pyannote[576].start 1423.99409375
transcript.pyannote[576].end 1426.59284375
transcript.pyannote[577].speaker SPEAKER_01
transcript.pyannote[577].start 1426.86284375
transcript.pyannote[577].end 1428.43221875
transcript.pyannote[578].speaker SPEAKER_01
transcript.pyannote[578].start 1429.00596875
transcript.pyannote[578].end 1431.03096875
transcript.pyannote[579].speaker SPEAKER_01
transcript.pyannote[579].start 1431.16596875
transcript.pyannote[579].end 1437.71346875
transcript.pyannote[580].speaker SPEAKER_01
transcript.pyannote[580].start 1438.40534375
transcript.pyannote[580].end 1440.44721875
transcript.pyannote[581].speaker SPEAKER_01
transcript.pyannote[581].start 1440.66659375
transcript.pyannote[581].end 1442.37096875
transcript.pyannote[582].speaker SPEAKER_01
transcript.pyannote[582].start 1442.77596875
transcript.pyannote[582].end 1445.50971875
transcript.pyannote[583].speaker SPEAKER_01
transcript.pyannote[583].start 1445.79659375
transcript.pyannote[583].end 1448.98596875
transcript.pyannote[584].speaker SPEAKER_01
transcript.pyannote[584].start 1449.50909375
transcript.pyannote[584].end 1451.36534375
transcript.pyannote[585].speaker SPEAKER_01
transcript.pyannote[585].start 1451.66909375
transcript.pyannote[585].end 1451.70284375
transcript.pyannote[586].speaker SPEAKER_02
transcript.pyannote[586].start 1451.70284375
transcript.pyannote[586].end 1451.71971875
transcript.pyannote[587].speaker SPEAKER_01
transcript.pyannote[587].start 1451.71971875
transcript.pyannote[587].end 1451.97284375
transcript.pyannote[588].speaker SPEAKER_02
transcript.pyannote[588].start 1451.97284375
transcript.pyannote[588].end 1452.07409375
transcript.pyannote[589].speaker SPEAKER_01
transcript.pyannote[589].start 1452.61409375
transcript.pyannote[589].end 1452.63096875
transcript.pyannote[590].speaker SPEAKER_02
transcript.pyannote[590].start 1452.63096875
transcript.pyannote[590].end 1455.16221875
transcript.pyannote[591].speaker SPEAKER_02
transcript.pyannote[591].start 1455.66846875
transcript.pyannote[591].end 1457.11971875
transcript.pyannote[592].speaker SPEAKER_02
transcript.pyannote[592].start 1457.22096875
transcript.pyannote[592].end 1468.03784375
transcript.pyannote[593].speaker SPEAKER_00
transcript.pyannote[593].start 1461.54096875
transcript.pyannote[593].end 1462.03034375
transcript.pyannote[594].speaker SPEAKER_01
transcript.pyannote[594].start 1462.03034375
transcript.pyannote[594].end 1462.72221875
transcript.pyannote[595].speaker SPEAKER_01
transcript.pyannote[595].start 1468.03784375
transcript.pyannote[595].end 1468.42596875
transcript.pyannote[596].speaker SPEAKER_01
transcript.pyannote[596].start 1468.94909375
transcript.pyannote[596].end 1472.03721875
transcript.pyannote[597].speaker SPEAKER_01
transcript.pyannote[597].start 1472.42534375
transcript.pyannote[597].end 1474.18034375
transcript.pyannote[598].speaker SPEAKER_01
transcript.pyannote[598].start 1474.77096875
transcript.pyannote[598].end 1476.93096875
transcript.pyannote[599].speaker SPEAKER_01
transcript.pyannote[599].start 1477.47096875
transcript.pyannote[599].end 1480.30596875
transcript.pyannote[600].speaker SPEAKER_01
transcript.pyannote[600].start 1480.64346875
transcript.pyannote[600].end 1482.29721875
transcript.pyannote[601].speaker SPEAKER_01
transcript.pyannote[601].start 1482.66846875
transcript.pyannote[601].end 1483.19159375
transcript.pyannote[602].speaker SPEAKER_01
transcript.pyannote[602].start 1483.61346875
transcript.pyannote[602].end 1485.62159375
transcript.pyannote[603].speaker SPEAKER_01
transcript.pyannote[603].start 1485.99284375
transcript.pyannote[603].end 1487.83221875
transcript.pyannote[604].speaker SPEAKER_01
transcript.pyannote[604].start 1488.59159375
transcript.pyannote[604].end 1489.97534375
transcript.pyannote[605].speaker SPEAKER_01
transcript.pyannote[605].start 1490.39721875
transcript.pyannote[605].end 1493.04659375
transcript.pyannote[606].speaker SPEAKER_01
transcript.pyannote[606].start 1493.50221875
transcript.pyannote[606].end 1496.38784375
transcript.pyannote[607].speaker SPEAKER_01
transcript.pyannote[607].start 1496.96159375
transcript.pyannote[607].end 1498.09221875
transcript.pyannote[608].speaker SPEAKER_01
transcript.pyannote[608].start 1498.17659375
transcript.pyannote[608].end 1499.96534375
transcript.pyannote[609].speaker SPEAKER_02
transcript.pyannote[609].start 1499.96534375
transcript.pyannote[609].end 1500.92721875
transcript.pyannote[610].speaker SPEAKER_01
transcript.pyannote[610].start 1501.72034375
transcript.pyannote[610].end 1501.73721875
transcript.pyannote[611].speaker SPEAKER_02
transcript.pyannote[611].start 1501.73721875
transcript.pyannote[611].end 1503.12096875
transcript.pyannote[612].speaker SPEAKER_01
transcript.pyannote[612].start 1503.77909375
transcript.pyannote[612].end 1508.41971875
transcript.pyannote[613].speaker SPEAKER_02
transcript.pyannote[613].start 1503.81284375
transcript.pyannote[613].end 1505.88846875
transcript.pyannote[614].speaker SPEAKER_02
transcript.pyannote[614].start 1507.55909375
transcript.pyannote[614].end 1508.11596875
transcript.pyannote[615].speaker SPEAKER_01
transcript.pyannote[615].start 1509.01034375
transcript.pyannote[615].end 1509.38159375
transcript.pyannote[616].speaker SPEAKER_01
transcript.pyannote[616].start 1509.92159375
transcript.pyannote[616].end 1510.91721875
transcript.pyannote[617].speaker SPEAKER_02
transcript.pyannote[617].start 1510.15784375
transcript.pyannote[617].end 1515.54096875
transcript.pyannote[618].speaker SPEAKER_02
transcript.pyannote[618].start 1515.86159375
transcript.pyannote[618].end 1515.92909375
transcript.pyannote[619].speaker SPEAKER_03
transcript.pyannote[619].start 1515.92909375
transcript.pyannote[619].end 1516.03034375
transcript.pyannote[620].speaker SPEAKER_01
transcript.pyannote[620].start 1516.03034375
transcript.pyannote[620].end 1516.08096875
transcript.pyannote[621].speaker SPEAKER_02
transcript.pyannote[621].start 1516.08096875
transcript.pyannote[621].end 1520.50221875
transcript.pyannote[622].speaker SPEAKER_01
transcript.pyannote[622].start 1519.81034375
transcript.pyannote[622].end 1525.31159375
transcript.pyannote[623].speaker SPEAKER_02
transcript.pyannote[623].start 1522.07159375
transcript.pyannote[623].end 1522.20659375
transcript.pyannote[624].speaker SPEAKER_01
transcript.pyannote[624].start 1526.59409375
transcript.pyannote[624].end 1528.09596875
transcript.pyannote[625].speaker SPEAKER_01
transcript.pyannote[625].start 1528.51784375
transcript.pyannote[625].end 1528.97346875
transcript.pyannote[626].speaker SPEAKER_01
transcript.pyannote[626].start 1529.59784375
transcript.pyannote[626].end 1531.11659375
transcript.pyannote[627].speaker SPEAKER_01
transcript.pyannote[627].start 1531.35284375
transcript.pyannote[627].end 1532.68596875
transcript.pyannote[628].speaker SPEAKER_01
transcript.pyannote[628].start 1533.07409375
transcript.pyannote[628].end 1533.56346875
transcript.pyannote[629].speaker SPEAKER_01
transcript.pyannote[629].start 1533.96846875
transcript.pyannote[629].end 1539.84096875
transcript.pyannote[630].speaker SPEAKER_01
transcript.pyannote[630].start 1540.31346875
transcript.pyannote[630].end 1543.46909375
transcript.pyannote[631].speaker SPEAKER_01
transcript.pyannote[631].start 1543.89096875
transcript.pyannote[631].end 1545.34221875
transcript.pyannote[632].speaker SPEAKER_01
transcript.pyannote[632].start 1546.00034375
transcript.pyannote[632].end 1547.85659375
transcript.pyannote[633].speaker SPEAKER_01
transcript.pyannote[633].start 1547.99159375
transcript.pyannote[633].end 1549.59471875
transcript.pyannote[634].speaker SPEAKER_00
transcript.pyannote[634].start 1548.24471875
transcript.pyannote[634].end 1548.27846875
transcript.pyannote[635].speaker SPEAKER_01
transcript.pyannote[635].start 1549.64534375
transcript.pyannote[635].end 1550.91096875
transcript.pyannote[636].speaker SPEAKER_01
transcript.pyannote[636].start 1551.45096875
transcript.pyannote[636].end 1552.86846875
transcript.pyannote[637].speaker SPEAKER_01
transcript.pyannote[637].start 1553.00346875
transcript.pyannote[637].end 1554.74159375
transcript.pyannote[638].speaker SPEAKER_01
transcript.pyannote[638].start 1555.14659375
transcript.pyannote[638].end 1555.43346875
transcript.pyannote[639].speaker SPEAKER_01
transcript.pyannote[639].start 1555.72034375
transcript.pyannote[639].end 1559.34846875
transcript.pyannote[640].speaker SPEAKER_01
transcript.pyannote[640].start 1559.97284375
transcript.pyannote[640].end 1562.06534375
transcript.pyannote[641].speaker SPEAKER_01
transcript.pyannote[641].start 1562.48721875
transcript.pyannote[641].end 1563.73596875
transcript.pyannote[642].speaker SPEAKER_01
transcript.pyannote[642].start 1564.03971875
transcript.pyannote[642].end 1566.55409375
transcript.pyannote[643].speaker SPEAKER_01
transcript.pyannote[643].start 1567.49909375
transcript.pyannote[643].end 1568.73096875
transcript.pyannote[644].speaker SPEAKER_01
transcript.pyannote[644].start 1569.32159375
transcript.pyannote[644].end 1570.72221875
transcript.pyannote[645].speaker SPEAKER_01
transcript.pyannote[645].start 1571.11034375
transcript.pyannote[645].end 1572.47721875
transcript.pyannote[646].speaker SPEAKER_01
transcript.pyannote[646].start 1572.96659375
transcript.pyannote[646].end 1575.76784375
transcript.pyannote[647].speaker SPEAKER_01
transcript.pyannote[647].start 1576.45971875
transcript.pyannote[647].end 1578.34971875
transcript.pyannote[648].speaker SPEAKER_01
transcript.pyannote[648].start 1579.49721875
transcript.pyannote[648].end 1581.10034375
transcript.pyannote[649].speaker SPEAKER_01
transcript.pyannote[649].start 1581.43784375
transcript.pyannote[649].end 1583.14221875
transcript.pyannote[650].speaker SPEAKER_01
transcript.pyannote[650].start 1583.73284375
transcript.pyannote[650].end 1584.39096875
transcript.pyannote[651].speaker SPEAKER_01
transcript.pyannote[651].start 1584.86346875
transcript.pyannote[651].end 1585.58909375
transcript.pyannote[652].speaker SPEAKER_01
transcript.pyannote[652].start 1586.06159375
transcript.pyannote[652].end 1587.90096875
transcript.pyannote[653].speaker SPEAKER_01
transcript.pyannote[653].start 1588.35659375
transcript.pyannote[653].end 1590.73596875
transcript.pyannote[654].speaker SPEAKER_01
transcript.pyannote[654].start 1591.17471875
transcript.pyannote[654].end 1593.43596875
transcript.pyannote[655].speaker SPEAKER_01
transcript.pyannote[655].start 1594.26284375
transcript.pyannote[655].end 1596.35534375
transcript.pyannote[656].speaker SPEAKER_01
transcript.pyannote[656].start 1596.76034375
transcript.pyannote[656].end 1602.00846875
transcript.pyannote[657].speaker SPEAKER_02
transcript.pyannote[657].start 1602.00846875
transcript.pyannote[657].end 1603.00409375
transcript.pyannote[658].speaker SPEAKER_01
transcript.pyannote[658].start 1602.14346875
transcript.pyannote[658].end 1602.58221875
transcript.pyannote[659].speaker SPEAKER_02
transcript.pyannote[659].start 1603.39221875
transcript.pyannote[659].end 1610.04096875
transcript.pyannote[660].speaker SPEAKER_01
transcript.pyannote[660].start 1608.82596875
transcript.pyannote[660].end 1615.17096875
transcript.pyannote[661].speaker SPEAKER_02
transcript.pyannote[661].start 1613.33159375
transcript.pyannote[661].end 1613.97284375
transcript.pyannote[662].speaker SPEAKER_04
transcript.pyannote[662].start 1613.97284375
transcript.pyannote[662].end 1627.20284375
transcript.pyannote[663].speaker SPEAKER_01
transcript.pyannote[663].start 1619.00159375
transcript.pyannote[663].end 1621.58346875
transcript.pyannote[664].speaker SPEAKER_01
transcript.pyannote[664].start 1626.51096875
transcript.pyannote[664].end 1636.01159375
transcript.pyannote[665].speaker SPEAKER_04
transcript.pyannote[665].start 1635.80909375
transcript.pyannote[665].end 1649.96721875
transcript.pyannote[666].speaker SPEAKER_03
transcript.pyannote[666].start 1643.30159375
transcript.pyannote[666].end 1643.40284375
transcript.pyannote[667].speaker SPEAKER_01
transcript.pyannote[667].start 1643.40284375
transcript.pyannote[667].end 1644.60096875
transcript.pyannote[668].speaker SPEAKER_01
transcript.pyannote[668].start 1647.46971875
transcript.pyannote[668].end 1650.06846875
transcript.pyannote[669].speaker SPEAKER_01
transcript.pyannote[669].start 1650.23721875
transcript.pyannote[669].end 1652.90346875
transcript.pyannote[670].speaker SPEAKER_01
transcript.pyannote[670].start 1653.49409375
transcript.pyannote[670].end 1655.50221875
transcript.pyannote[671].speaker SPEAKER_01
transcript.pyannote[671].start 1656.09284375
transcript.pyannote[671].end 1657.62846875
transcript.pyannote[672].speaker SPEAKER_01
transcript.pyannote[672].start 1657.72971875
transcript.pyannote[672].end 1661.03721875
transcript.pyannote[673].speaker SPEAKER_01
transcript.pyannote[673].start 1661.49284375
transcript.pyannote[673].end 1671.68534375
transcript.pyannote[674].speaker SPEAKER_04
transcript.pyannote[674].start 1671.19596875
transcript.pyannote[674].end 1674.95909375
transcript.pyannote[675].speaker SPEAKER_01
transcript.pyannote[675].start 1673.99721875
transcript.pyannote[675].end 1675.24596875
transcript.pyannote[676].speaker SPEAKER_04
transcript.pyannote[676].start 1675.24596875
transcript.pyannote[676].end 1675.53284375
transcript.pyannote[677].speaker SPEAKER_01
transcript.pyannote[677].start 1675.53284375
transcript.pyannote[677].end 1675.97159375
transcript.pyannote[678].speaker SPEAKER_04
transcript.pyannote[678].start 1675.97159375
transcript.pyannote[678].end 1693.11659375
transcript.pyannote[679].speaker SPEAKER_01
transcript.pyannote[679].start 1683.19409375
transcript.pyannote[679].end 1685.67471875
transcript.pyannote[680].speaker SPEAKER_01
transcript.pyannote[680].start 1686.61971875
transcript.pyannote[680].end 1687.48034375
transcript.pyannote[681].speaker SPEAKER_01
transcript.pyannote[681].start 1691.12534375
transcript.pyannote[681].end 1692.61034375
transcript.pyannote[682].speaker SPEAKER_04
transcript.pyannote[682].start 1693.52159375
transcript.pyannote[682].end 1695.98534375
transcript.pyannote[683].speaker SPEAKER_01
transcript.pyannote[683].start 1694.09534375
transcript.pyannote[683].end 1697.31846875
transcript.pyannote[684].speaker SPEAKER_01
transcript.pyannote[684].start 1697.68971875
transcript.pyannote[684].end 1703.08971875
transcript.pyannote[685].speaker SPEAKER_04
transcript.pyannote[685].start 1700.22096875
transcript.pyannote[685].end 1700.96346875
transcript.pyannote[686].speaker SPEAKER_03
transcript.pyannote[686].start 1700.96346875
transcript.pyannote[686].end 1702.97159375
transcript.pyannote[687].speaker SPEAKER_03
transcript.pyannote[687].start 1703.08971875
transcript.pyannote[687].end 1703.10659375
transcript.pyannote[688].speaker SPEAKER_01
transcript.pyannote[688].start 1703.10659375
transcript.pyannote[688].end 1703.15721875
transcript.pyannote[689].speaker SPEAKER_01
transcript.pyannote[689].start 1703.73096875
transcript.pyannote[689].end 1704.91221875
transcript.pyannote[690].speaker SPEAKER_01
transcript.pyannote[690].start 1705.33409375
transcript.pyannote[690].end 1707.29159375
transcript.pyannote[691].speaker SPEAKER_01
transcript.pyannote[691].start 1707.78096875
transcript.pyannote[691].end 1709.67096875
transcript.pyannote[692].speaker SPEAKER_01
transcript.pyannote[692].start 1710.10971875
transcript.pyannote[692].end 1711.47659375
transcript.pyannote[693].speaker SPEAKER_01
transcript.pyannote[693].start 1712.06721875
transcript.pyannote[693].end 1713.82221875
transcript.pyannote[694].speaker SPEAKER_01
transcript.pyannote[694].start 1714.21034375
transcript.pyannote[694].end 1716.21846875
transcript.pyannote[695].speaker SPEAKER_01
transcript.pyannote[695].start 1716.37034375
transcript.pyannote[695].end 1718.59784375
transcript.pyannote[696].speaker SPEAKER_01
transcript.pyannote[696].start 1719.00284375
transcript.pyannote[696].end 1724.43659375
transcript.pyannote[697].speaker SPEAKER_02
transcript.pyannote[697].start 1723.49159375
transcript.pyannote[697].end 1732.23284375
transcript.pyannote[698].speaker SPEAKER_01
transcript.pyannote[698].start 1729.88721875
transcript.pyannote[698].end 1730.69721875
transcript.pyannote[699].speaker SPEAKER_01
transcript.pyannote[699].start 1732.23284375
transcript.pyannote[699].end 1732.77284375
transcript.pyannote[700].speaker SPEAKER_02
transcript.pyannote[700].start 1732.60409375
transcript.pyannote[700].end 1735.35471875
transcript.pyannote[701].speaker SPEAKER_01
transcript.pyannote[701].start 1734.40971875
transcript.pyannote[701].end 1737.97034375
transcript.pyannote[702].speaker SPEAKER_02
transcript.pyannote[702].start 1737.29534375
transcript.pyannote[702].end 1737.98721875
transcript.pyannote[703].speaker SPEAKER_01
transcript.pyannote[703].start 1737.98721875
transcript.pyannote[703].end 1738.79721875
transcript.pyannote[704].speaker SPEAKER_02
transcript.pyannote[704].start 1738.79721875
transcript.pyannote[704].end 1745.96909375
transcript.pyannote[705].speaker SPEAKER_01
transcript.pyannote[705].start 1738.83096875
transcript.pyannote[705].end 1740.40034375
transcript.pyannote[706].speaker SPEAKER_01
transcript.pyannote[706].start 1742.45909375
transcript.pyannote[706].end 1743.04971875
transcript.pyannote[707].speaker SPEAKER_00
transcript.pyannote[707].start 1743.04971875
transcript.pyannote[707].end 1743.08346875
transcript.pyannote[708].speaker SPEAKER_00
transcript.pyannote[708].start 1743.67409375
transcript.pyannote[708].end 1743.75846875
transcript.pyannote[709].speaker SPEAKER_01
transcript.pyannote[709].start 1743.75846875
transcript.pyannote[709].end 1746.12096875
transcript.pyannote[710].speaker SPEAKER_03
transcript.pyannote[710].start 1745.96909375
transcript.pyannote[710].end 1746.00284375
transcript.pyannote[711].speaker SPEAKER_02
transcript.pyannote[711].start 1746.00284375
transcript.pyannote[711].end 1746.05346875
transcript.pyannote[712].speaker SPEAKER_01
transcript.pyannote[712].start 1746.59346875
transcript.pyannote[712].end 1749.81659375
transcript.pyannote[713].speaker SPEAKER_01
transcript.pyannote[713].start 1751.60534375
transcript.pyannote[713].end 1753.05659375
transcript.pyannote[714].speaker SPEAKER_01
transcript.pyannote[714].start 1753.96784375
transcript.pyannote[714].end 1756.65096875
transcript.pyannote[715].speaker SPEAKER_01
transcript.pyannote[715].start 1757.19096875
transcript.pyannote[715].end 1759.18221875
transcript.pyannote[716].speaker SPEAKER_01
transcript.pyannote[716].start 1759.90784375
transcript.pyannote[716].end 1761.91596875
transcript.pyannote[717].speaker SPEAKER_01
transcript.pyannote[717].start 1762.72596875
transcript.pyannote[717].end 1763.06346875
transcript.pyannote[718].speaker SPEAKER_01
transcript.pyannote[718].start 1763.21534375
transcript.pyannote[718].end 1764.27846875
transcript.pyannote[719].speaker SPEAKER_01
transcript.pyannote[719].start 1764.71721875
transcript.pyannote[719].end 1766.77596875
transcript.pyannote[720].speaker SPEAKER_01
transcript.pyannote[720].start 1767.23159375
transcript.pyannote[720].end 1768.63221875
transcript.pyannote[721].speaker SPEAKER_04
transcript.pyannote[721].start 1769.99909375
transcript.pyannote[721].end 1776.07409375
transcript.pyannote[722].speaker SPEAKER_04
transcript.pyannote[722].start 1776.51284375
transcript.pyannote[722].end 1777.03596875
transcript.pyannote[723].speaker SPEAKER_01
transcript.pyannote[723].start 1777.03596875
transcript.pyannote[723].end 1779.71909375
transcript.pyannote[724].speaker SPEAKER_01
transcript.pyannote[724].start 1780.10721875
transcript.pyannote[724].end 1781.89596875
transcript.pyannote[725].speaker SPEAKER_01
transcript.pyannote[725].start 1782.43596875
transcript.pyannote[725].end 1782.95909375
transcript.pyannote[726].speaker SPEAKER_01
transcript.pyannote[726].start 1783.21221875
transcript.pyannote[726].end 1784.35971875
transcript.pyannote[727].speaker SPEAKER_01
transcript.pyannote[727].start 1784.64659375
transcript.pyannote[727].end 1786.16534375
transcript.pyannote[728].speaker SPEAKER_01
transcript.pyannote[728].start 1786.63784375
transcript.pyannote[728].end 1787.46471875
transcript.pyannote[729].speaker SPEAKER_01
transcript.pyannote[729].start 1788.83159375
transcript.pyannote[729].end 1790.94096875
transcript.pyannote[730].speaker SPEAKER_01
transcript.pyannote[730].start 1791.95346875
transcript.pyannote[730].end 1792.37534375
transcript.pyannote[731].speaker SPEAKER_01
transcript.pyannote[731].start 1792.69596875
transcript.pyannote[731].end 1794.73784375
transcript.pyannote[732].speaker SPEAKER_01
transcript.pyannote[732].start 1795.42971875
transcript.pyannote[732].end 1796.37471875
transcript.pyannote[733].speaker SPEAKER_01
transcript.pyannote[733].start 1796.86409375
transcript.pyannote[733].end 1798.63596875
transcript.pyannote[734].speaker SPEAKER_01
transcript.pyannote[734].start 1798.87221875
transcript.pyannote[734].end 1800.07034375
transcript.pyannote[735].speaker SPEAKER_01
transcript.pyannote[735].start 1800.45846875
transcript.pyannote[735].end 1801.35284375
transcript.pyannote[736].speaker SPEAKER_01
transcript.pyannote[736].start 1801.70721875
transcript.pyannote[736].end 1802.63534375
transcript.pyannote[737].speaker SPEAKER_01
transcript.pyannote[737].start 1803.07409375
transcript.pyannote[737].end 1805.79096875
transcript.pyannote[738].speaker SPEAKER_01
transcript.pyannote[738].start 1806.61784375
transcript.pyannote[738].end 1807.54596875
transcript.pyannote[739].speaker SPEAKER_01
transcript.pyannote[739].start 1807.78221875
transcript.pyannote[739].end 1811.05596875
transcript.pyannote[740].speaker SPEAKER_01
transcript.pyannote[740].start 1811.59596875
transcript.pyannote[740].end 1813.95846875
transcript.pyannote[741].speaker SPEAKER_01
transcript.pyannote[741].start 1814.11034375
transcript.pyannote[741].end 1816.28721875
transcript.pyannote[742].speaker SPEAKER_01
transcript.pyannote[742].start 1816.89471875
transcript.pyannote[742].end 1818.68346875
transcript.pyannote[743].speaker SPEAKER_01
transcript.pyannote[743].start 1819.39221875
transcript.pyannote[743].end 1820.47221875
transcript.pyannote[744].speaker SPEAKER_01
transcript.pyannote[744].start 1821.70409375
transcript.pyannote[744].end 1822.14284375
transcript.pyannote[745].speaker SPEAKER_01
transcript.pyannote[745].start 1822.26096875
transcript.pyannote[745].end 1823.86409375
transcript.pyannote[746].speaker SPEAKER_01
transcript.pyannote[746].start 1824.31971875
transcript.pyannote[746].end 1826.32784375
transcript.pyannote[747].speaker SPEAKER_01
transcript.pyannote[747].start 1828.43721875
transcript.pyannote[747].end 1830.19221875
transcript.pyannote[748].speaker SPEAKER_02
transcript.pyannote[748].start 1830.19221875
transcript.pyannote[748].end 1830.22596875
transcript.pyannote[749].speaker SPEAKER_01
transcript.pyannote[749].start 1830.22596875
transcript.pyannote[749].end 1830.96846875
transcript.pyannote[750].speaker SPEAKER_02
transcript.pyannote[750].start 1830.96846875
transcript.pyannote[750].end 1831.54221875
transcript.pyannote[751].speaker SPEAKER_01
transcript.pyannote[751].start 1831.54221875
transcript.pyannote[751].end 1831.59284375
transcript.pyannote[752].speaker SPEAKER_02
transcript.pyannote[752].start 1831.59284375
transcript.pyannote[752].end 1831.64346875
transcript.pyannote[753].speaker SPEAKER_01
transcript.pyannote[753].start 1831.64346875
transcript.pyannote[753].end 1832.68971875
transcript.pyannote[754].speaker SPEAKER_02
transcript.pyannote[754].start 1832.82471875
transcript.pyannote[754].end 1832.84159375
transcript.pyannote[755].speaker SPEAKER_01
transcript.pyannote[755].start 1832.84159375
transcript.pyannote[755].end 1832.87534375
transcript.pyannote[756].speaker SPEAKER_02
transcript.pyannote[756].start 1832.87534375
transcript.pyannote[756].end 1832.94284375
transcript.pyannote[757].speaker SPEAKER_01
transcript.pyannote[757].start 1832.94284375
transcript.pyannote[757].end 1833.06096875
transcript.pyannote[758].speaker SPEAKER_02
transcript.pyannote[758].start 1833.06096875
transcript.pyannote[758].end 1833.22971875
transcript.pyannote[759].speaker SPEAKER_01
transcript.pyannote[759].start 1833.22971875
transcript.pyannote[759].end 1833.49971875
transcript.pyannote[760].speaker SPEAKER_01
transcript.pyannote[760].start 1833.87096875
transcript.pyannote[760].end 1833.90471875
transcript.pyannote[761].speaker SPEAKER_01
transcript.pyannote[761].start 1833.95534375
transcript.pyannote[761].end 1833.97221875
transcript.pyannote[762].speaker SPEAKER_02
transcript.pyannote[762].start 1836.13221875
transcript.pyannote[762].end 1837.12784375
transcript.pyannote[763].speaker SPEAKER_01
transcript.pyannote[763].start 1837.12784375
transcript.pyannote[763].end 1838.96721875
transcript.pyannote[764].speaker SPEAKER_02
transcript.pyannote[764].start 1838.96721875
transcript.pyannote[764].end 1839.96284375
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 4.711
transcript.whisperx[0].text 最後一位登記發言第44位陳雪生委員請質詢謝謝主席是不是秦院長 卓院長 謝謝麻煩再請卓院長備詢
transcript.whisperx[1].start 29.895
transcript.whisperx[1].end 58.597
transcript.whisperx[1].text 陳委員好站了一天了,馬上下課了今天本席質詢四個感謝一個抱怨我想感謝先來好了感謝國防部國防部從善如流接受本席的建議對馬祖地區的東營指揮部還有舉光指揮部那麼在113年6月27號核定修正
transcript.whisperx[2].start 60.212
transcript.whisperx[2].end 84.353
transcript.whisperx[2].text 國軍地域家級也是由原來的第三級調整為第二級東穎跟菊光我們韓院長也在菊光當過副院長沒水沒電非常的辛苦那麼顧部長這邊從善如流謝謝您把他調整那現在問題來了
transcript.whisperx[3].start 86.192
transcript.whisperx[3].end 114.512
transcript.whisperx[3].text 亮島跟高登亮島院長沒去過我不曉得顧部長去過沒有我去過一個亮島有沒有去過亮島跟高登高登在北竿的旁邊距離大陸是最近的一個地區高登大概也只有幾十個人亮島也只有幾十個官兵大概兩個島不足一百個
transcript.whisperx[4].start 115.765
transcript.whisperx[4].end 139.303
transcript.whisperx[4].text 那麼在釀島尤其辛苦我當縣長的時候每次陪同我們地區的指揮官去做軍務視察的時候他去視察我去慰問我一定到肉舖砍兩個豬腳豬腿豬腿送到那邊去他們都是吃罐頭沒有肉吃魚的話也要靠運補上去
transcript.whisperx[5].start 143.274
transcript.whisperx[5].end 167.746
transcript.whisperx[5].text 亮島那邊大概一兩個禮拜才運補一次那裡沒有因為土質都是研盤沒有土質所以他們都是用那個寶特瓶空青菜放在裡面種植一層一層的他們吃的青菜是這樣因為普及的問題所以我在這邊建議是不是能夠把高登亮島由二級改為一級
transcript.whisperx[6].start 168.803
transcript.whisperx[6].end 198.084
transcript.whisperx[6].text 那麼三級改為二級大概差距是兩千兩百一十塊那麼亮島跟高登只有幾十個人幾十個人是不是可以把他調整從二級調整到一級這裡面差八千塊目前亮島跟高登的這個兵員人家都不願意去了如果您的小孩在那邊當兵的話你會體諒到沒水沒電
transcript.whisperx[7].start 199.244
transcript.whisperx[7].end 214.414
transcript.whisperx[7].text 沒有水也沒有電,非常的辛苦幾十個人啦過去在戰時的時候我一級48年823砲戰十週年老共要做報復我們在民國58年的時候我們全島16歲以上的婦女
transcript.whisperx[8].start 224.164
transcript.whisperx[8].end 250.374
transcript.whisperx[8].text 年輕人不可以離境而且槍彈全部都到位所以非常非常的辛苦我們面對對面一整塊的山群非常的恐懼我們平常都要躲砲彈每天晚上都要躲這個砲彈所以那時候內心的恐懼所以我們一直怕戰爭的爆發所以現在兵兇戰為我想
transcript.whisperx[9].start 251.809
transcript.whisperx[9].end 256.674
transcript.whisperx[9].text 左院長這邊也跟賴總統報告,我們不要贊成,我們希望和平
transcript.whisperx[10].start 258.596
transcript.whisperx[10].end 282.357
transcript.whisperx[10].text 剛剛聽委員談到您對外島的國軍官兵送了一些食物過去我覺得我們應該為國軍弟兄向委員表示致謝我們就是要防衛我們自己,我們走向和平之道才會表示說我們應該加強自己的防衛能力我也希望院長有機會去激勵我們官兵的士氣好不好
transcript.whisperx[11].start 291.032
transcript.whisperx[11].end 301.625
transcript.whisperx[11].text 現在一級只有南沙我們評估的結果認為高登跟亮島跟南沙地區的交通狀況還是有明顯的差異
transcript.whisperx[12].start 302.236
transcript.whisperx[12].end 329.879
transcript.whisperx[12].text 只是交通差異,問題是阿兵哥到那邊去,不能回來啊高層跟亮島之間的交通狀況跟南沙比起來,南沙還是艱困許多他們的面積比南沙少很多南沙還可以發電種菜,在亮島是沒有的請部長回去查一下好不好我想只有幾十個吧,只有幾十位的官兵啊這個是不是請部長回去
transcript.whisperx[13].start 330.499
transcript.whisperx[13].end 357.35
transcript.whisperx[13].text 演繹好不好,我並沒有說一定要怎麼樣啦我是拜託部長第二件事情就是感謝,第二個感謝就是北竿長崎拔長它原來是350公尺長那麼希望它現在已經變更為75公尺那麼原來馬防部啊,馬總防衛部咧演繹啊演繹說要5億,第一個方案要5億第二個方案要9億
transcript.whisperx[14].start 359.198
transcript.whisperx[14].end 386.569
transcript.whisperx[14].text 其實不需要嘛在北甘島上面不過五百多個兵員你不用回答我多少啦我大概心裡有數五百個兵員長訓的時間不多啊不需要那麼大的一個靶場其實一兩年之內啊他們現在是答應我們說五年之內完成遷建因為他這個在淡黃的地區啊而且屁林呢國中國小縣立醫院安養中心我們運動場
transcript.whisperx[15].start 388.14
transcript.whisperx[15].end 407.475
transcript.whisperx[15].text 所以部長這一方面拜託您兩千萬足夠了啦現在用步槍的機會很少我想在馬祖啊我在那邊住了幾十年應該用飛彈的機會比較大一點用不到步槍啊但是步槍呢必須我們是一個常備的一個項目
transcript.whisperx[16].start 408.567
transcript.whisperx[16].end 430.098
transcript.whisperx[16].text 所以部長這一方面希望國防部回去五年之內簽件這個允諾你要實現而且拜託不要那麼大的靶場靶場就是打個靶嘛是不是75公尺而已我也會打我們也常常我們在那邊常常接受民防隊訓練每年也是一年打好幾次部長你說好嗎
transcript.whisperx[17].start 431.654
transcript.whisperx[17].end 456.859
transcript.whisperx[17].text 跟委員報告,我想這件事情因為委員長期關心我們現在一方面是調整這個涉及的週期我想這點你也知道每週五天就是只有禮拜一到禮拜五那時段就是八點半到七點半本來今年的元旦,元月一號我要躺在靶場上給靶兵打院長說我要保重身體謝謝委員的體諒另外我們現在也做隔音牆
transcript.whisperx[18].start 461.58
transcript.whisperx[18].end 486.169
transcript.whisperx[18].text 已經合撥了這個需求的預算金額所以我們會開標以後我們管制在90個工作天點內把它竣工以後就有效可以來防止噪音好那繼續我第三個感謝馬祖飛高雄的航線部長你知道馬祖有多少個南部的官兵嗎有900多位
transcript.whisperx[19].start 487.714
transcript.whisperx[19].end 515.428
transcript.whisperx[19].text 900多位他們回家的路非常辛苦不是坐船就是坐飛機到松山機場還要坐高鐵才能夠到達高雄現在我們已經把這航線已經打開了當然我要感謝中油油罐車幫我們也弄了加油的部分交通部還有華航還有華信還有民航局大家都用了很大的心去做院長你有沒有聽說過
transcript.whisperx[20].start 516.906
transcript.whisperx[20].end 544.352
transcript.whisperx[20].text 哪一家航空公司,我們花蓮也好,台中也好,台中也好,高雄也好,要縣政府補貼的,你們聽過?沒有縣政府補貼?交通部是有補貼的?我們縣政府要補貼,因為他人數不夠的話我們要補貼所以報告院長這一點拜託,還有部長來了我們固定航班時間以後,拜託不要縣政府補貼好不好?馬祖已經沒什麼錢了
transcript.whisperx[21].start 545.563
transcript.whisperx[21].end 567.341
transcript.whisperx[21].text 即使這一次你看看這個財化法通過我一句話都沒講其實我們一般的補助款計畫型的補助款如果中央把我們扣下來我們幾億還不夠用還不夠分配是不是可能我們還倒貼所以對我們來講也不是好事所以我幾乎都沒有聲音我也沒表示意見院長部長在這邊
transcript.whisperx[22].start 569.212
transcript.whisperx[22].end 594.657
transcript.whisperx[22].text 拜託一下,不只是我們發展觀光的需求這裡面也是對我們阿兵哥官兵一個生活上的照顧兩位部長也都在,能不能協力來完成那麼這個錢不要縣政府出,請你們盡量去努力好不好一個月兩個月我們出得起啦太久的話,長年下去的話縣政府你曉得我們財政分級是列第五,第五級、第六級
transcript.whisperx[23].start 596.357
transcript.whisperx[23].end 607.963
transcript.whisperx[23].text 財政狀況非常的刺激,非常的不好,拜託院長可以嗎?報告委員,其實其他的航線也都有補貼,你也都很清楚,因為你也常時在關心這個議題
transcript.whisperx[24].start 609.144
transcript.whisperx[24].end 638.476
transcript.whisperx[24].text 那高雄的這個部分我們還是要看他的整體的運量就是說現在華夏航空其實很擔心就是承載量不足他會虧很多所以他會希望有補貼但補貼的金額其實如果是承載量很少的話那個補貼金額還真的是會蠻大的部長其實台灣到馬祖這個航線我們國家本來就是有責任所以台北到馬祖行的便利嘛行的安全嘛對不對本來就有這個責任啊
transcript.whisperx[25].start 639.4
transcript.whisperx[25].end 666.37
transcript.whisperx[25].text 你為什麼說高雄飛金門都可以飛,飛馬祖不能飛沒有道理,飛澎湖也飛而且都大的飛機在飛我們現在小小的一個要求,小小的要求所以拜託部長回去研究一下,看看有什麼經費什麼樣的法令,如果法令有問題我們可以修改可以修正,好不好讓縣政府能夠喘口氣還有就是這個票價前幾天已經開過會了
transcript.whisperx[26].start 668.597
transcript.whisperx[26].end 689.148
transcript.whisperx[26].text 要報到交通部去核定這一點拜託部長回去看他公文馬上把它批了為什麼因為他票價公布以後華信還要排班排班裡面還請部長幫忙一下據我了解華信很像要排禮拜二但禮拜二的航班要配合官兵休假
transcript.whisperx[27].start 690.097
transcript.whisperx[27].end 708.349
transcript.whisperx[27].text 我們除了發展觀光這裡面主要是阿兵哥阿兵哥回家的路更近所以希望在禮拜五禮拜五的話他們禮拜六跟禮拜天他有多了兩天因為要精打細算他才有這樣的一個需求請部長能不能夠幫忙一下
transcript.whisperx[28].start 709.015
transcript.whisperx[28].end 733.041
transcript.whisperx[28].text 報告委員這件事您也協調了好多次我們會盡量朝向委員的期望不過華信航空它整體的飛機的量能這個我們也需要考慮到因為也有其他的離島有這樣子的需求華信的董事長原來是華航的總經理他現在已經申出了是華航的董事長那麼他已經辭掉華信董事長的職務了
transcript.whisperx[29].start 734.141
transcript.whisperx[29].end 750.896
transcript.whisperx[29].text 那麼現在華信董事長派了沒有我還不知道,派誰我也不知道我最好能夠派陳雪生的話那我最高興了這個問題不要你解決我就可以處理了但是現在董事長換了我真搞不清楚有沒有人跟華信新的董事長,跟他切磋一下好不好
transcript.whisperx[30].start 752.128
transcript.whisperx[30].end 779.276
transcript.whisperx[30].text 你不要再笑了不是,立委不能兼董事長我兼董事長?立委不能兼我不能兼,我辭掉你一定是一個稱職的立委不行啦,聽說罷免又要成功,要罷免我院長,我24小時樹葉斐謝為民服務,我助理請了20幾個你不要看我們台中、桃園、台北,到處都是我們的鄉親
transcript.whisperx[31].start 780.68
transcript.whisperx[31].end 808.648
transcript.whisperx[31].text 我24小時為他們做便民的服務,徵取經費也是第一名的所以拜託你不要去談罷免的事情我沒有談罷免的事情拜託一下因為說真的我對馬祖的鄉親非常熱愛我也熱愛這塊土地,剩下三年讓我做完好不好?很切的拜託好不好?很少人在那邊談這個事情,我是第一個
transcript.whisperx[32].start 809.913
transcript.whisperx[32].end 829.729
transcript.whisperx[32].text 第三個就是有關,顧部長請回,這是衛福部的事情第四個感謝衛福部長上任以後,當然他原來當立法委員在我的隔壁我跟他什麼事情,我們兩個如兄如弟
transcript.whisperx[33].start 831.104
transcript.whisperx[33].end 852.45
transcript.whisperx[33].text 我跟他報告什麼事呢電腦斷層我們馬阿祖的緊急醫療後送大概一年有160位那後送過來以後有什麼問題呢電腦斷層醫生看不清楚上傳以後磨磨糊糊重新再造一次所以我們我要求他拜託他給我一個800
transcript.whisperx[34].start 853.928
transcript.whisperx[34].end 880.424
transcript.whisperx[34].text 八百劑量的斷層後來他說我們部立院全部都是一百多切的不能單獨給你馬祖那我也OK不過他也核定了部長謝謝您雖然你沒有做到八百你當立委的時候答應我八百切但你做部長換了位子以後腦袋又換了不過我也不怪你因為全部大家一視同仁要公平那現在也很多民眾提出來說
transcript.whisperx[35].start 882.092
transcript.whisperx[35].end 905.073
transcript.whisperx[35].text 縣立醫院能不能改部立醫院部立醫院的話要部立醫院的規模土地醫生還有儀器醫療設備等等我看需要幾十億當然以馬祖的規格目前金門厚重大概是兩百四十一個我們一年厚重我們大概最近這三年了最近這三年金門是兩百四十一我們是一百六十
transcript.whisperx[36].start 906.792
transcript.whisperx[36].end 920.318
transcript.whisperx[36].text 所以說那邊基本上的一些配備,像電腦斷層你給我了嘛這個問題,民眾的問題解決了你不然那邊照一次,這邊再照一次因為看不清楚嘛所以非常感謝我們衛福部長
transcript.whisperx[37].start 921.977
transcript.whisperx[37].end 945.474
transcript.whisperx[37].text 有關部立醫院如果你不成立部立醫院的話起碼一些基本的配備需求神經內科神經外科還有我們腦袋現在心梗心臟心臟的問題也蠻多的後送過來心梗所以請部長能不能對這一方面再加強再注重一下可以不可以報告委員
transcript.whisperx[38].start 948.284
transcript.whisperx[38].end 972.294
transcript.whisperx[38].text 我幾件事情回答一下第一個就是說有關電腦斷層其實同步那個時期澎湖醫院也是設立了128間的電腦斷層其實它是再加上現在的AI的一個處理可以把影片處理到非常的清楚所以請委員放心以後我們那邊的醫師朋友所照的
transcript.whisperx[39].start 973.682
transcript.whisperx[39].end 994.716
transcript.whisperx[39].text 回到台灣絕對不需要再重複照如果重複照我再找你嘛好不好而且這可以電腦的傳遞資訊所以這個部分沒有問題至於說在強調連江縣馬祖這個部分尤其在連江縣我們從幾個角度第一個人才的培育醫療器材的一個加強
transcript.whisperx[40].start 997.004
transcript.whisperx[40].end 1021.489
transcript.whisperx[40].text 還有整體的醫療費用的提升,其實都是給予馬祖、給予連江縣最大的努力我想這個部分在幾戶方面也是給予家層加了30%、50%我們兩個人不談政治,我們是兄弟就跟周越南一樣,我們也是好朋友,也是跟兄弟如兄如弟一樣
transcript.whisperx[41].start 1022.489
transcript.whisperx[41].end 1048.937
transcript.whisperx[41].text 我也敬佩我也不會跟你們爭一張嘴啦對這個連江縣的縣民長期的關心我們一定不管我在過去或者是在現在因為那邊太多醫師的朋友了我們一樣都希望他們有一個好的醫療環境來把我們的縣民照顧好謝謝部長好不好你請回謝謝院長那現在我要談到我的抱怨我要談到馬祖大俏
transcript.whisperx[42].start 1052.571
transcript.whisperx[42].end 1081.41
transcript.whisperx[42].text 我還有應該算算不到三年的時間任期就要屆滿了我的年齡也應該差不多了這個馬祖大橋我每天都在關心這個事情從107年我們賴總統時任院長的時候我到行政院找他他馬上就把它批了中和規劃中和規劃他就批了批了以後交通部速度也很快
transcript.whisperx[43].start 1082.062
transcript.whisperx[43].end 1098.895
transcript.whisperx[43].text 折騰公路總局馬上做計畫110年其中報告就出來了送到行政院110年送到行政院以後不停的行政院秘書處還有國發會交通部這個公文一直轉來轉去那個效率實在我非常驚人
transcript.whisperx[44].start 1109.352
transcript.whisperx[44].end 1124.042
transcript.whisperx[44].text 抓了112年一整年喔我不知道躺在誰的桌子上我看不到也追蹤不到好112年不見了111年後來報到113年到國發會國發會說送到英國這個英商奧亞納工程顧問公司
transcript.whisperx[45].start 1138.82
transcript.whisperx[45].end 1167.904
transcript.whisperx[45].text 做第三方的認證認證什麼呢認證技術有沒有問題認證技術有沒有問題那已經也回來了啊技術也沒問題啊我想賴總統時任院長的時候對我們馬祖大家有承諾他的攸關馬祖未來百年發展大街的橋是馬祖人應得的大橋案在自己的手中推動一定全力促成這是他第一次的承諾
transcript.whisperx[46].start 1168.837
transcript.whisperx[46].end 1181.984
transcript.whisperx[46].text 然後賴總統也到縣地去會勘這個南北岸大橋大概3.1公里長他預計要8年完工賴總統也表示經費不是問題當然現在這個經費一直到288億我有一件事情我要拜託院長這個公文輾轉來輾轉去
transcript.whisperx[47].start 1199.039
transcript.whisperx[47].end 1227.721
transcript.whisperx[47].text 那前幾天在院會的時候我也跟卓院長報告卓院長說一直沒看到這個案子我就非常震驚啊這麼重要的事情我在立法院每一年每一次都在總諮詢的時候向院長提出來爭取這個南北岸跨海大橋也就是馬祖大橋但是院長說不知道沒看到公文
transcript.whisperx[48].start 1228.615
transcript.whisperx[48].end 1255.809
transcript.whisperx[48].text 我非常的驚訝我是說這個公文跑哪裡去了這麼重要的事情賴總統親口答應的事情而且院長我也口頭跟你報告好幾次但你就看不到這公文所以這公文一直在國發會交通部一直在秘書長行政院秘書處那邊一直在打轉我想我不曉得什麼時候才能看到院長讓您看到
transcript.whisperx[49].start 1256.673
transcript.whisperx[49].end 1277.721
transcript.whisperx[49].text 我要親自拿去給你看嗎跟委員報告這個工程當然是複雜而且挑戰性很大經過國內國外的工程顧問做了很多的評估目前委員剛剛所說經費達到288億其實上他已經再度修正已經提高到392億金門機場評估的時候我們馬祖機場
transcript.whisperx[50].start 1285.148
transcript.whisperx[50].end 1301.292
transcript.whisperx[50].text 剛剛評估的時候說要幾百億後來十幾億 十幾二十億我們馬祖南崗機場做起來啦所以你不要聽那個啦你要不想幫我做的話你說這個大橋啊 評估要兩千億那我就不會做啦因為他有南崗機場存廢的問題北崗機場要
transcript.whisperx[51].start 1305.154
transcript.whisperx[51].end 1324.225
transcript.whisperx[51].text 修整建的問題,還有大橋的問題,整個合起來談我們還聽到有不同的聲音,主要是現在修正到392億所以我們必須要重新再修正392億誰修正的?是世西嗎?我不曉得是誰修正的?國發會有這樣的專家嗎?他沒有經過一個細部的設計,沒有經過建設計畫的啟動
transcript.whisperx[52].start 1331.121
transcript.whisperx[52].end 1352.749
transcript.whisperx[52].text 他怎麼知道是那麼多億咧?所以我們現在看到的是這樣一個初步的一個概算所以我希望他重新院內還在重新再也不是用含的也不是用吹的一定要詳細精算部長您知道是300多億嗎?你聽過嗎?這個部分我們要回去再了解一下
transcript.whisperx[53].start 1353.311
transcript.whisperx[53].end 1376.419
transcript.whisperx[53].text 不是現在了解,這是你公路總局在精算的公路總局委託4C工程設計公司在弄的4C是我們國內頂尖的這段時間確實整個工程的經費一直在上升委員長期一直關心這個做大橋所以我要跟你報告的是現在最新的發展跟進度不是我是說院長你聽誰講的,誰跟你報告的
transcript.whisperx[54].start 1378.84
transcript.whisperx[54].end 1396.752
transcript.whisperx[54].text 哪一個單位跟你報告呢你回答我好不好,哪一個單位跟你報告呢這個是在院內的公文我們綜合起來算,它一個概算之後要有人算嘛,總是要有人算啊1加1等於2,總要有人算出來嘛不是我,我們還在內部要求重新核定這個數字為什麼會從288億,會漲到390億我想這是馬祖人未來的夢他這個跟機場一定要結合
transcript.whisperx[55].start 1408.502
transcript.whisperx[55].end 1437.496
transcript.whisperx[55].text 欄杆機場要把它停掉欄杆機場的跑道頭端太危險了我每次坐飛機回去我家裡面試試過我每次飛機降落我都怕尤其飛機重飛的時候多恐怖你知道嗎很恐怖你不要造成人命理由再來檢討問題就為時已晚太慢了我希望我身為立法委員我身為馬拉圖的立法委員我一定要在中央來發聲拜託懇求院長回去
transcript.whisperx[56].start 1438.762
transcript.whisperx[56].end 1461.186
transcript.whisperx[56].text 馬上把他進入建設計畫讓他去做細部設計讓細部設計出來因為前面的綜合規劃已經花了1億5千萬了已經花了1億5千萬了所以我剛剛有報告北竿機場的改善這工程的規劃南竿機場的存廢問題南竿機場一定要這個馬祖大橋現在重新修正出來這麼392億的這個預算我們要把它做一個
transcript.whisperx[57].start 1468.991
transcript.whisperx[57].end 1496.226
transcript.whisperx[57].text 你看前院長,蘇貞昌院長,他錢不是問題賴清德院長,錢不是問題390而已就390而已嘛你桃園一個地鐵,從空中變成地下600億元你都花了,是不是?難道跟一張離島你不重視嗎?而且我們不是一次到位8年的時程,一年花三五十億,我其他的錢可以不要你這個財化法怎麼錢,我一毛錢都不要
transcript.whisperx[58].start 1497.014
transcript.whisperx[58].end 1523.22
transcript.whisperx[58].text 拜託這個事情嘛,一年啊法律就是不是您要不要我們也可以說大家都不要,但是不行這樣說不要我不用也可以嘛,是不是我可以不用嗎?是不是我們陷入到一個非常不穩定的中央與地方的財政的劃分的一個狀態裡面下那如果這個合訂了是300多億,那到底是中央還是地方我們不要爭一時啦,我們要爭千秋馬祖這個大橋啊,馬祖大橋
transcript.whisperx[59].start 1526.65
transcript.whisperx[59].end 1550.553
transcript.whisperx[59].text 在朱院長手上批渴在賴總統手上核定我們會感謝你們的好不好我們馬祖真的你看我有介入政黨的問題嗎有跟你談政治的問題嗎我從來沒有我從來沒有有責難過行政院嗎也從來沒有好不好我想院長希望趕快進入建設計畫剛才我不停的質詢您就是說
transcript.whisperx[60].start 1551.502
transcript.whisperx[60].end 1580.995
transcript.whisperx[60].text 你的消息從哪裡來的?你的數字是怎麼出來的?你講個五百億,講個一千億,你就把我砍臼了嘛,是不是?這樣是沒有道理,對我是不公平的啊你到底是誰算出來?如果世襲算出來,需要五百、一千億我給你下跪算啦我太口氣而已,是不是?但是不是這樣嘛你不聽國發會裡面的人,隨便算一下就出來了是不是?我不曉得他是哪裡算出來的這個拜託院長好不好
transcript.whisperx[61].start 1581.699
transcript.whisperx[61].end 1593.189
transcript.whisperx[61].text 讓他進入建設計畫讓他進入建設計畫我卸任的話我死也瞑目啊對不對,我陳宇人有努力過,我有衝刺過我不要讓人家講我陳宇人你在騙人
transcript.whisperx[62].start 1594.315
transcript.whisperx[62].end 1610.127
transcript.whisperx[62].text 人家說我在騙人,我沒有騙我的民眾,我很努力在工作我覺得今天把現在最新的發展跟委員報告,委員也可以跟鄉親說明,那目前我們再重新檢討那個數字是虛無縹緲了
transcript.whisperx[63].start 1612.509
transcript.whisperx[63].end 1633.885
transcript.whisperx[63].text 是空中樓格誰算出來的?委員我說明一下,因為這個深度達到60米是全球也少見的所以我們送到英國去以後呢,然後重新的檢討也同時重新檢討你花500萬給英國算,你找英國誰算?你給他付薪水都不夠啦,他有到馬祖來過嗎?有看過水深是多深嗎?
transcript.whisperx[64].start 1634.965
transcript.whisperx[64].end 1652.398
transcript.whisperx[64].text 我上次有跟委員報告過我們是建立在世新的這個規劃書上面的基礎因為他已經規劃得很完整我們只是去驗證這樣的一個深度國內沒有經驗然後看看國外有沒有這樣的經驗你進入建設計畫花不了多少錢啊 院長
transcript.whisperx[65].start 1653.55
transcript.whisperx[65].end 1663.799
transcript.whisperx[65].text 後面有多少錢?你把建設計畫裡面細色、詳細弄出來,那才是叫數字啊,是不是?你國發會有這樣的人才嗎?你海洋大學畢業,你就可以講說300億、500億、800億所以我們送到英國去,請英國的專家來寫證
transcript.whisperx[66].start 1675.65
transcript.whisperx[66].end 1690.344
transcript.whisperx[66].text 英國的有獎要四百多億嗎?英國的專家至少他們比較有經驗做看到國外的經驗,因為我們國內沒有這樣的經驗世新也沒有這樣的經驗所以我們要再次的驗證,我們尊重世新的專業但是我們希望再經過第二次的驗證國內的技術
transcript.whisperx[67].start 1697.971
transcript.whisperx[67].end 1715.588
transcript.whisperx[67].text 專家你不去聽,外國約量比較遠委員我們這樣是在保障馬祖倫的安全五百萬是什麼?五百萬在英國眼中是什麼?是不是OB是什麼錢你知道嗎?我說你拜託,院長這個幫我們進入建設計畫我想行政院秘書長今天也有來
transcript.whisperx[68].start 1716.482
transcript.whisperx[68].end 1744.561
transcript.whisperx[68].text 秘書長拜託一下好不好你送上去給院長看嘛 送上去給總統批嘛好不好你不能在那邊跟我這樣子講包括我本人 主委 部長我們都有掌握這個狀況 新的發展你也可以講說五百億啊 一千億啊沒有沒有 這絕對不是空口亂講你進國發會有沒有在那胡扯八道國發會有這樣的專家 你把專家拿出來給我看誰啊這是透過專業的一個評估 但是我就是從頭再來看這樣的評估到底準確如何
transcript.whisperx[69].start 1746.842
transcript.whisperx[69].end 1768.457
transcript.whisperx[69].text 還有離島建設基金剩下8.86億我歷史跟陳玉珍委員還有楊雅雅委員之間你們說隨時撥補問你剩下8.86億你一年要花掉3億起碼吧你到現在怎麼辦很多案子到你們那邊可能就停擺了那離島基金就沒了嘛
transcript.whisperx[70].start 1770.031
transcript.whisperx[70].end 1794.244
transcript.whisperx[70].text 委員我們現在是一年編列酒業的預算但是我們今年被砍掉了6%在大院你回去檢討一下,現在時間還剩下55秒小山通啊,拜託一下他們說團過來,我們又再阻止他團現在不來了馬祖街道冷冷清清啊真的所有旅館全部空蕩蕩的
transcript.whisperx[71].start 1795.475
transcript.whisperx[71].end 1820.26
transcript.whisperx[71].text 民運部聊生所以請院長交通部有機會過去看一看陸委會這邊也謝謝我們邱主委很關心我們真的都跟大陸盡量不要吵架了這樣弄下去我的心情被你們搞亂了我立委都不想幹了不要說罷免我最好今天就辭職算了我都幹不下去啦你知道嗎我都幹不下去啦
transcript.whisperx[72].start 1821.752
transcript.whisperx[72].end 1833.264
transcript.whisperx[72].text 院長你覺得陳雪生這個兄弟你要我留在立法院還是要我離開請你多支持我好不好請你今天結束以後多休息謝謝我們都愛的陳雪生委員謝謝你的質詢