iVOD / 161007

Field Value
IVOD_ID 161007
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161007
日期 2025-05-07
會議資料.會議代碼 委員會-11-3-15-17
會議資料.會議代碼:str 第11屆第3會期內政委員會第17次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 17
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第3會期內政委員會第17次全體委員會議
影片種類 Clip
開始時間 2025-05-07T10:11:57+08:00
結束時間 2025-05-07T10:21:51+08:00
影片長度 00:09:54
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0a74d2e02c378e06b57a5de9139b0b7d04869f6baa92091d3464f2517af749f023ca7a029bb132625ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王美惠
委員發言時間 10:11:57 - 10:21:51
會議時間 2025-05-07T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第17次全體委員會議(事由:邀請中央選舉委員會主任委員列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.81534375
transcript.pyannote[0].end 4.43534375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 4.77284375
transcript.pyannote[1].end 5.48159375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 12.40034375
transcript.pyannote[2].end 15.42096875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 15.87659375
transcript.pyannote[3].end 18.25596875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 18.76221875
transcript.pyannote[4].end 19.58909375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 19.90971875
transcript.pyannote[5].end 23.25096875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 23.80784375
transcript.pyannote[6].end 25.25909375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 25.83284375
transcript.pyannote[7].end 26.76096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 27.25034375
transcript.pyannote[8].end 29.51159375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 30.00096875
transcript.pyannote[9].end 31.97534375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 32.19471875
transcript.pyannote[10].end 33.78096875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 34.28721875
transcript.pyannote[11].end 37.03784375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 37.59471875
transcript.pyannote[12].end 39.09659375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 39.21471875
transcript.pyannote[13].end 40.83471875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 41.15534375
transcript.pyannote[14].end 43.09596875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 43.53471875
transcript.pyannote[15].end 44.44596875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 44.95221875
transcript.pyannote[16].end 46.50471875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 47.12909375
transcript.pyannote[17].end 48.56346875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 48.86721875
transcript.pyannote[18].end 49.93034375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 50.35221875
transcript.pyannote[19].end 51.87096875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 52.37721875
transcript.pyannote[20].end 54.82409375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 55.34721875
transcript.pyannote[21].end 57.35534375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 57.92909375
transcript.pyannote[22].end 59.26221875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 59.73471875
transcript.pyannote[23].end 61.15221875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 61.50659375
transcript.pyannote[24].end 66.01221875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 66.55221875
transcript.pyannote[25].end 68.81346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 68.83034375
transcript.pyannote[26].end 69.75846875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 70.78784375
transcript.pyannote[27].end 73.36971875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 73.80846875
transcript.pyannote[28].end 75.10784375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 76.28909375
transcript.pyannote[29].end 76.98096875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 77.70659375
transcript.pyannote[30].end 79.36034375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 79.88346875
transcript.pyannote[31].end 82.12784375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 82.49909375
transcript.pyannote[32].end 84.55784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 85.35096875
transcript.pyannote[33].end 87.46034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 88.21971875
transcript.pyannote[34].end 90.46409375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 91.86471875
transcript.pyannote[35].end 92.86034375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 93.60284375
transcript.pyannote[36].end 94.78409375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 95.91471875
transcript.pyannote[37].end 97.66971875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 98.22659375
transcript.pyannote[38].end 99.52596875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 100.26846875
transcript.pyannote[39].end 100.69034375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 101.02784375
transcript.pyannote[40].end 102.79971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 103.40721875
transcript.pyannote[41].end 104.77409375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 105.28034375
transcript.pyannote[42].end 106.49534375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 107.20409375
transcript.pyannote[43].end 109.19534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 110.96721875
transcript.pyannote[44].end 112.18221875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 112.60409375
transcript.pyannote[45].end 113.73471875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 114.69659375
transcript.pyannote[46].end 115.55721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 115.97909375
transcript.pyannote[47].end 116.87346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 117.46409375
transcript.pyannote[48].end 118.74659375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 119.20221875
transcript.pyannote[49].end 119.70846875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 119.94471875
transcript.pyannote[50].end 121.22721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 121.75034375
transcript.pyannote[51].end 122.99909375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 123.48846875
transcript.pyannote[52].end 124.58534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 124.90596875
transcript.pyannote[53].end 126.49221875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 127.26846875
transcript.pyannote[54].end 129.95159375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 130.57596875
transcript.pyannote[55].end 132.65159375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 134.23784375
transcript.pyannote[56].end 134.98034375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 135.68909375
transcript.pyannote[57].end 136.34721875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 137.29221875
transcript.pyannote[58].end 138.99659375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 140.05971875
transcript.pyannote[59].end 141.40971875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 141.62909375
transcript.pyannote[60].end 142.97909375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 143.67096875
transcript.pyannote[61].end 145.52721875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 145.96596875
transcript.pyannote[62].end 150.21846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 151.73721875
transcript.pyannote[63].end 153.15471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 153.52596875
transcript.pyannote[64].end 155.53409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 156.31034375
transcript.pyannote[65].end 158.20034375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 158.74034375
transcript.pyannote[66].end 161.72721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 162.13221875
transcript.pyannote[67].end 163.70159375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 164.44409375
transcript.pyannote[68].end 167.21159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 167.95409375
transcript.pyannote[69].end 169.25346875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 169.81034375
transcript.pyannote[70].end 172.22346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 172.61159375
transcript.pyannote[71].end 173.60721875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 174.40034375
transcript.pyannote[72].end 176.05409375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 176.52659375
transcript.pyannote[73].end 177.92721875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 178.80471875
transcript.pyannote[74].end 181.09971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 182.95596875
transcript.pyannote[75].end 184.89659375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 185.53784375
transcript.pyannote[76].end 187.02284375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 187.71471875
transcript.pyannote[77].end 190.68471875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 191.34284375
transcript.pyannote[78].end 193.80659375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 194.43096875
transcript.pyannote[79].end 195.22409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 196.20284375
transcript.pyannote[80].end 197.94096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 199.42596875
transcript.pyannote[81].end 200.53971875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 201.61971875
transcript.pyannote[82].end 202.10909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 202.51409375
transcript.pyannote[83].end 204.50534375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 205.09596875
transcript.pyannote[84].end 205.93971875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 207.18846875
transcript.pyannote[85].end 208.57221875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 210.15846875
transcript.pyannote[86].end 210.69846875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 211.57596875
transcript.pyannote[87].end 213.95534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 214.49534375
transcript.pyannote[88].end 217.14471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 217.66784375
transcript.pyannote[89].end 218.51159375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 219.38909375
transcript.pyannote[90].end 222.20721875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 223.06784375
transcript.pyannote[91].end 224.14784375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 224.97471875
transcript.pyannote[92].end 226.94909375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 228.41721875
transcript.pyannote[93].end 229.85159375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 230.45909375
transcript.pyannote[94].end 230.94846875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 231.11721875
transcript.pyannote[95].end 234.01971875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 235.85909375
transcript.pyannote[96].end 239.99346875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 240.66846875
transcript.pyannote[97].end 254.43846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 254.69159375
transcript.pyannote[98].end 261.54284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 261.12096875
transcript.pyannote[99].end 261.55971875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 261.55971875
transcript.pyannote[100].end 261.61034375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 261.61034375
transcript.pyannote[101].end 262.08284375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 262.08284375
transcript.pyannote[102].end 262.11659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 262.11659375
transcript.pyannote[103].end 266.03159375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 266.26784375
transcript.pyannote[104].end 266.30159375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 266.30159375
transcript.pyannote[105].end 267.29721875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 266.47034375
transcript.pyannote[106].end 269.79471875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 270.03096875
transcript.pyannote[107].end 280.22346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 271.95471875
transcript.pyannote[108].end 272.37659375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 278.41784375
transcript.pyannote[109].end 278.97471875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 280.10534375
transcript.pyannote[110].end 280.51034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 280.51034375
transcript.pyannote[111].end 282.13034375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 282.83909375
transcript.pyannote[112].end 288.82971875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 289.04909375
transcript.pyannote[113].end 289.38659375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 290.02784375
transcript.pyannote[114].end 297.95909375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 298.24596875
transcript.pyannote[115].end 301.11471875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 301.84034375
transcript.pyannote[116].end 302.56596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 303.15659375
transcript.pyannote[117].end 304.84409375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 305.09721875
transcript.pyannote[118].end 308.74221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 309.38346875
transcript.pyannote[119].end 311.69534375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 311.96534375
transcript.pyannote[120].end 313.46721875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 313.82159375
transcript.pyannote[121].end 315.25596875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 315.98159375
transcript.pyannote[122].end 317.24721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 317.73659375
transcript.pyannote[123].end 319.27221875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 320.25096875
transcript.pyannote[124].end 320.74034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 321.83721875
transcript.pyannote[125].end 323.86221875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 324.18284375
transcript.pyannote[126].end 324.40221875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 324.40221875
transcript.pyannote[127].end 327.65909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 328.33409375
transcript.pyannote[128].end 328.75596875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 329.14409375
transcript.pyannote[129].end 330.62909375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 331.01721875
transcript.pyannote[130].end 333.66659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 333.91971875
transcript.pyannote[131].end 337.59846875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 338.13846875
transcript.pyannote[132].end 339.10034375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 339.62346875
transcript.pyannote[133].end 342.61034375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 342.74534375
transcript.pyannote[134].end 344.71971875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 345.81659375
transcript.pyannote[135].end 347.50409375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 348.02721875
transcript.pyannote[136].end 350.05221875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 351.19971875
transcript.pyannote[137].end 352.83659375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 355.48596875
transcript.pyannote[138].end 355.97534375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 356.68409375
transcript.pyannote[139].end 358.03409375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 358.60784375
transcript.pyannote[140].end 360.68346875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 361.18971875
transcript.pyannote[141].end 363.34971875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 364.04159375
transcript.pyannote[142].end 365.79659375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 366.16784375
transcript.pyannote[143].end 367.48409375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 368.26034375
transcript.pyannote[144].end 370.48784375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 370.97721875
transcript.pyannote[145].end 372.51284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 374.13284375
transcript.pyannote[146].end 375.21284375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 376.20846875
transcript.pyannote[147].end 376.83284375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 377.44034375
transcript.pyannote[148].end 378.41909375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 378.95909375
transcript.pyannote[149].end 383.43096875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 384.03846875
transcript.pyannote[150].end 385.87784375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 386.83971875
transcript.pyannote[151].end 387.29534375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 387.63284375
transcript.pyannote[152].end 393.92721875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 394.24784375
transcript.pyannote[153].end 396.54284375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 396.96471875
transcript.pyannote[154].end 400.28909375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 401.74034375
transcript.pyannote[155].end 402.26346875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 402.61784375
transcript.pyannote[156].end 403.76534375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 404.06909375
transcript.pyannote[157].end 405.23346875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 405.67221875
transcript.pyannote[158].end 407.32596875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 408.00096875
transcript.pyannote[159].end 409.31721875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 409.82346875
transcript.pyannote[160].end 411.19034375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 411.76409375
transcript.pyannote[161].end 413.94096875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 413.01284375
transcript.pyannote[162].end 413.38409375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 414.58221875
transcript.pyannote[163].end 416.80971875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 417.36659375
transcript.pyannote[164].end 424.80846875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 425.36534375
transcript.pyannote[165].end 425.83784375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 426.90096875
transcript.pyannote[166].end 428.36909375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 428.82471875
transcript.pyannote[167].end 434.20784375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 435.52409375
transcript.pyannote[168].end 436.03034375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 436.50284375
transcript.pyannote[169].end 444.90659375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 445.24409375
transcript.pyannote[170].end 445.90221875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 446.22284375
transcript.pyannote[171].end 447.92721875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 448.18034375
transcript.pyannote[172].end 449.15909375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 449.68221875
transcript.pyannote[173].end 452.11221875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 452.53409375
transcript.pyannote[174].end 453.41159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 454.23846875
transcript.pyannote[175].end 455.16659375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 455.47034375
transcript.pyannote[176].end 456.36471875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 456.92159375
transcript.pyannote[177].end 460.33034375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 460.53284375
transcript.pyannote[178].end 463.62096875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 464.71784375
transcript.pyannote[179].end 465.32534375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 465.34221875
transcript.pyannote[180].end 467.33346875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 465.47721875
transcript.pyannote[181].end 465.76409375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 467.80596875
transcript.pyannote[182].end 469.45971875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 469.83096875
transcript.pyannote[183].end 472.00784375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 472.42971875
transcript.pyannote[184].end 474.13409375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 474.67409375
transcript.pyannote[185].end 477.72846875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 477.88034375
transcript.pyannote[186].end 481.98096875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 483.44909375
transcript.pyannote[187].end 484.19159375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 484.69784375
transcript.pyannote[188].end 485.32221875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 485.96346875
transcript.pyannote[189].end 486.89159375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 487.27971875
transcript.pyannote[190].end 488.59596875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 489.01784375
transcript.pyannote[191].end 494.94096875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 495.39659375
transcript.pyannote[192].end 496.35846875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 496.37534375
transcript.pyannote[193].end 497.55659375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 497.92784375
transcript.pyannote[194].end 500.12159375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 500.49284375
transcript.pyannote[195].end 501.64034375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 501.99471875
transcript.pyannote[196].end 506.88846875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 507.17534375
transcript.pyannote[197].end 509.40284375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 509.90909375
transcript.pyannote[198].end 512.52471875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 512.94659375
transcript.pyannote[199].end 514.80284375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 515.20784375
transcript.pyannote[200].end 520.18596875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 520.43909375
transcript.pyannote[201].end 522.44721875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 522.90284375
transcript.pyannote[202].end 523.78034375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 523.93221875
transcript.pyannote[203].end 525.31596875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 525.99096875
transcript.pyannote[204].end 526.63221875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 527.47596875
transcript.pyannote[205].end 531.71159375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 531.15471875
transcript.pyannote[206].end 533.26409375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 531.93096875
transcript.pyannote[207].end 536.30159375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 534.63096875
transcript.pyannote[208].end 534.95159375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 536.52096875
transcript.pyannote[209].end 538.61346875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 538.84971875
transcript.pyannote[210].end 549.09284375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 549.43034375
transcript.pyannote[211].end 551.60721875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 551.84346875
transcript.pyannote[212].end 555.16784375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 555.57284375
transcript.pyannote[213].end 556.87221875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 557.05784375
transcript.pyannote[214].end 559.28534375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 559.40346875
transcript.pyannote[215].end 560.97284375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 561.10784375
transcript.pyannote[216].end 562.99784375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 563.45346875
transcript.pyannote[217].end 570.62534375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 569.91659375
transcript.pyannote[218].end 574.16909375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 574.52346875
transcript.pyannote[219].end 578.26971875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 579.04596875
transcript.pyannote[220].end 579.46784375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 579.56909375
transcript.pyannote[221].end 581.30721875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 581.94846875
transcript.pyannote[222].end 593.96346875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 592.78221875
transcript.pyannote[223].end 594.48659375
transcript.whisperx[0].start 2.85
transcript.whisperx[0].end 5.137
transcript.whisperx[0].text 主席我們現在主委李主委有請
transcript.whisperx[1].start 12.438
transcript.whisperx[1].end 21.52
transcript.whisperx[1].text 委員你好主委 各位先生 辛苦主委 在這裡本學會跟你談到的就是說因為在最近我們的選舉發生的時候應該是投機生 大家要拿 要簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽名簽
transcript.whisperx[2].start 37.623
transcript.whisperx[2].end 38.904
transcript.whisperx[2].text 另外一種,把人家的籤,我們就要以罷之罷,要來籤,做一路補課的,來籤的當中,到我相信,到我們用車位,到有這麼多過往的人
transcript.whisperx[3].start 55.35
transcript.whisperx[3].end 57.252
transcript.whisperx[3].text 在過往的人當中,你看我們基隆的面前處長,看完後,他剛才說,那一切不是你們的人啊!要不說不是你們的人,也是真正是你們地方選舉委員會的人啊!
transcript.whisperx[4].start 78.065
transcript.whisperx[4].end 90.291
transcript.whisperx[4].text 在這個過程當中,我認為非常不該,也非常對北省、對政府,最好一個信任就沒有了像今天我們的董事
transcript.whisperx[5].start 95.967
transcript.whisperx[5].end 98.77
transcript.whisperx[5].text 翁小玲立委,大立委喔,說如果選辦法有違法的、有不法的,應該是要所有的出力量
transcript.whisperx[6].start 114.724
transcript.whisperx[6].end 119.488
transcript.whisperx[6].text 他的部分來處理,這樣是不對的主委,如果像這樣說,如果科技做表的人繼續做表跟檢考員看到也不可以再糾正,單方放出來的時候,再說他做表
transcript.whisperx[7].start 137.335
transcript.whisperx[7].end 138.676
transcript.whisperx[7].text 又來討價錢,再討價錢之後,放茶餚去拿,拿到貴賃,拿到料,再用監視器說,這個茶餚在我們家做茶餚
transcript.whisperx[8].start 151.783
transcript.whisperx[8].end 159.985
transcript.whisperx[8].text 再來想想,如果萬一有一天台灣讓我們逃不掉我們知道它已經要逃不掉台灣了我們還不可以說要等待台灣逃不掉之後還可以說嗎?如果它的論述、它的公法是這樣跟這個中華民國這樣覺得有關聯嗎?我們的公務人員
transcript.whisperx[9].start 183.318
transcript.whisperx[9].end 193.562
transcript.whisperx[9].text 在兩百四十一條的 依然沒有不對我們本來就要來計劃 要來處理啦北省如果有這不對的規劃我們也需要來講咧什麼羨慕我們第二階段 第一階段處理了剛剛來來糾正主委
transcript.whisperx[10].start 211.618
transcript.whisperx[10].end 216.263
transcript.whisperx[10].text 本席講到這氣氛,沒有找一個大大的立委,對他看來說他過勞多過勞,說這個委實在委上的不應該啦,假扮孩子大小,主委,在本席剛才所說的,你們委內
transcript.whisperx[11].start 236.865
transcript.whisperx[11].end 257.314
transcript.whisperx[11].text 謝謝委員的指教中山會的做法是這樣我們根據平時所想法241條的規定只要我們在執行職務的時候發現有犯罪的嫌疑的話那我們在職務上就有告發的義務那這個告發的義務我的意思就是說你當時發現到你就當時去告發
transcript.whisperx[12].start 261.636
transcript.whisperx[12].end 269.018
transcript.whisperx[12].text 即時的告發其實這個也是確保犯罪的追溯能夠有效的進行很重要的點那我們在告發之後司法機關他們辦案的節奏有他們一定的規定這個我們予以尊重
transcript.whisperx[13].start 290.083
transcript.whisperx[13].end 311.491
transcript.whisperx[13].text 因為主委本省會跟你談到這個就是說因為選辦法是你們單位所去管理的白色的第一階段第二階段都是你們的管理的第三階段竟然是你們的管理的所以在這個規定當中我覺得不管的不管帶一棟帶一個單位都是要
transcript.whisperx[14].start 320.322
transcript.whisperx[14].end 325.667
transcript.whisperx[14].text 下去做的啦 要舉報的啦因為我覺得最惡劣的就是你抄名也好 拿人的名也好你現在在那裡說這個有貴心或不貴心說實在 各自的東西 政府的東西可以這樣處理嗎
transcript.whisperx[15].start 345.828
transcript.whisperx[15].end 349.869
transcript.whisperx[15].text 這基隆說實在 一定無法無聽啦實在亂來啦所以在這裡我覺得對任何一個百姓看到基隆發生這個事情大家都非常憤怒 不關大一棟的哪有做一個主觀做到去對這個問題啦
transcript.whisperx[16].start 376.46
transcript.whisperx[16].end 383.103
transcript.whisperx[16].text 諸位,在這裏面,我認為這是非常悲傷,覺得對政府一種心內的苦惱因為我認為大家都說各自各自,大家說各自要保護保護和政府機關,但我們的各自是如此的囤堵
transcript.whisperx[17].start 401.789
transcript.whisperx[17].end 404.69
transcript.whisperx[17].text 所以本市在這裡也要跟你說,我們的罷免的日期也有五月,也有六月二十的在這個過程當中,我們是不是可以因為我們這個要跟委員會開會嘛,當時要投票的
transcript.whisperx[18].start 427.24
transcript.whisperx[18].end 434.104
transcript.whisperx[18].text 如果有幾個做一屆,是不是可以做回投票?因為,主委,我們是要給你的意見就是說,如果你們再開票的時候,是不是這個人那樣說,還有這麼多人,抱歉,不管是帶一張牌,我們為了要讓這個孫武靈丸做一屆,
transcript.whisperx[19].start 454.458
transcript.whisperx[19].end 462.642
transcript.whisperx[19].text 比較方便 比較省 要不然為了國家的健全改開的時候的費用我們也要開啦尤其今年可能有公投的問題也已經提出啦在本省所了解可能是在八月二三啦在八月二三當中我們是不是可以跟
transcript.whisperx[20].start 483.511
transcript.whisperx[20].end 488.154
transcript.whisperx[20].text 這會罷免選舉,這會提拔嗎?因為這我的意見給你,因為你也沒辦法我回答說可以不行啦
transcript.whisperx[21].start 495.435
transcript.whisperx[21].end 499.958
transcript.whisperx[21].text 但是拜託主委如果開會前,跟委員會大家的意見都可以做參考主委我要來請教一下,我們的基隆發生這個事情,到不成為止你們如果請求全台灣的專務領域的地方主委開會嗎?來主委你回答
transcript.whisperx[22].start 527.585
transcript.whisperx[22].end 534.29
transcript.whisperx[22].text 我們例行的會議每個月都有主管會報另外專案會議現在有專案專案跟例行的都會邀請我們各地的專職的副總幹事參加線上的會議每一次的這個會議我們都是針對各地在選務方面可能產生的問題
transcript.whisperx[23].start 555.586
transcript.whisperx[23].end 559.548
transcript.whisperx[23].text 他們在執行的時候 有發現什麼疑問的問題 大家提出來做參考尤其這點非常重要 差不多每次都會說到 要堅持我們的選務中立這一點都會特別重點對啦 我們要中立啦 因為你沒有中立 像基隆這樣 國家就海洋洋了啦
transcript.whisperx[24].start 579.71
transcript.whisperx[24].end 583.112
transcript.whisperx[24].text 跟應援組委我這次的時間到我後面還有兩件要這次的問題我會用書面幫你探討,麻煩你開給我好,謝謝