iVOD / 167283

Field Value
IVOD_ID 167283
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167283
日期 2026-01-28
影片種類 Clip
開始時間 2026-01-28T10:37:28+08:00
結束時間 2026-01-28T10:47:15+08:00
影片長度 00:09:47
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0b5ec5fbcfced67d3454b63d0fd62bf1f4fe19c94b211847e2c12228464ea44cc2cb998dec49867b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 吳琪銘
委員發言時間 10:37:28 - 10:47:15
會議時間 2026-01-28T09:00:00+08:00
會議名稱 1.游被提名人盈隆-立法院第11屆第4會期內政、司法及法制委員會第2次聯席會議(事由:審查行政院函送中央選舉委員會委員提名名單,游盈隆為委員並為主任委員,胡博硯為委員並為副主任委員,黃文玲、李禮仲、蘇嘉宏、蘇子喬及陳宗義均為委員,請同意案。【1月28日及29日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.35159375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 3.05159375
transcript.pyannote[1].end 5.88659375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 6.52784375
transcript.pyannote[2].end 7.45596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 8.02971875
transcript.pyannote[3].end 12.75471875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 12.97409375
transcript.pyannote[4].end 15.57284375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 14.79659375
transcript.pyannote[5].end 15.31971875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 19.58909375
transcript.pyannote[6].end 19.92659375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 22.40721875
transcript.pyannote[7].end 26.32221875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 22.52534375
transcript.pyannote[8].end 23.09909375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 26.86221875
transcript.pyannote[9].end 33.78096875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 33.96659375
transcript.pyannote[10].end 34.91159375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 35.21534375
transcript.pyannote[11].end 37.27409375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 37.62846875
transcript.pyannote[12].end 40.39596875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 40.73346875
transcript.pyannote[13].end 42.77534375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 42.94409375
transcript.pyannote[14].end 43.61909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 44.29409375
transcript.pyannote[15].end 47.07846875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 47.33159375
transcript.pyannote[16].end 48.20909375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 48.37784375
transcript.pyannote[17].end 49.44096875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 49.82909375
transcript.pyannote[18].end 52.90034375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 53.11971875
transcript.pyannote[19].end 54.16596875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 54.45284375
transcript.pyannote[20].end 56.89971875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 57.11909375
transcript.pyannote[21].end 58.43534375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 58.67159375
transcript.pyannote[22].end 59.00909375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 59.26221875
transcript.pyannote[23].end 62.40096875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 62.73846875
transcript.pyannote[24].end 63.36284375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 63.73409375
transcript.pyannote[25].end 66.19784375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 66.53534375
transcript.pyannote[26].end 70.02846875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 70.41659375
transcript.pyannote[27].end 71.91846875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 72.20534375
transcript.pyannote[28].end 73.38659375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 73.90971875
transcript.pyannote[29].end 74.73659375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 75.12471875
transcript.pyannote[30].end 77.26784375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 77.72346875
transcript.pyannote[31].end 78.38159375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 79.12409375
transcript.pyannote[32].end 79.56284375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 79.95096875
transcript.pyannote[33].end 81.60471875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 81.97596875
transcript.pyannote[34].end 83.76471875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 84.32159375
transcript.pyannote[35].end 87.64596875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 87.76409375
transcript.pyannote[36].end 89.41784375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 89.77221875
transcript.pyannote[37].end 91.81409375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 92.21909375
transcript.pyannote[38].end 95.94846875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 96.21846875
transcript.pyannote[39].end 97.36596875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 97.60221875
transcript.pyannote[40].end 102.64784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 102.96846875
transcript.pyannote[41].end 103.15409375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 104.53784375
transcript.pyannote[42].end 105.73596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 106.41096875
transcript.pyannote[43].end 107.74409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 108.33471875
transcript.pyannote[44].end 109.90409375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 110.56221875
transcript.pyannote[45].end 113.04284375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 113.51534375
transcript.pyannote[46].end 117.17721875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 117.97034375
transcript.pyannote[47].end 121.02471875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 121.41284375
transcript.pyannote[48].end 122.57721875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 122.79659375
transcript.pyannote[49].end 124.63596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 125.07471875
transcript.pyannote[50].end 128.06159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 128.39909375
transcript.pyannote[51].end 129.49596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 129.58034375
transcript.pyannote[52].end 137.03909375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 137.64659375
transcript.pyannote[53].end 138.47346875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 138.84471875
transcript.pyannote[54].end 139.50284375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 139.99221875
transcript.pyannote[55].end 140.51534375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 141.47721875
transcript.pyannote[56].end 146.48909375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 147.34971875
transcript.pyannote[57].end 153.27284375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 153.35721875
transcript.pyannote[58].end 155.29784375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 156.00659375
transcript.pyannote[59].end 157.84596875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 156.05721875
transcript.pyannote[60].end 156.58034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 159.01034375
transcript.pyannote[61].end 162.75659375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 163.24596875
transcript.pyannote[62].end 167.49846875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 168.13971875
transcript.pyannote[63].end 170.40096875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 170.77221875
transcript.pyannote[64].end 173.79284375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 170.87346875
transcript.pyannote[65].end 171.05909375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 174.02909375
transcript.pyannote[66].end 176.15534375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 176.34096875
transcript.pyannote[67].end 177.92721875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 178.23096875
transcript.pyannote[68].end 180.23909375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 180.62721875
transcript.pyannote[69].end 184.98096875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 184.98096875
transcript.pyannote[70].end 185.01471875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 186.17909375
transcript.pyannote[71].end 186.71909375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 186.71909375
transcript.pyannote[72].end 186.76971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 187.64721875
transcript.pyannote[73].end 187.66409375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 187.66409375
transcript.pyannote[74].end 189.52034375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 189.87471875
transcript.pyannote[75].end 192.54096875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 192.72659375
transcript.pyannote[76].end 194.76846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 195.07221875
transcript.pyannote[77].end 199.99971875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 200.40471875
transcript.pyannote[78].end 203.52659375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 203.72909375
transcript.pyannote[79].end 204.77534375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 205.14659375
transcript.pyannote[80].end 208.79159375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 209.16284375
transcript.pyannote[81].end 210.07409375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 210.59721875
transcript.pyannote[82].end 212.97659375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 213.41534375
transcript.pyannote[83].end 214.10721875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 214.46159375
transcript.pyannote[84].end 216.50346875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 216.80721875
transcript.pyannote[85].end 218.81534375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 219.15284375
transcript.pyannote[86].end 220.36784375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 220.68846875
transcript.pyannote[87].end 223.96221875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 222.54471875
transcript.pyannote[88].end 222.83159375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 224.13096875
transcript.pyannote[89].end 226.20659375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 226.32471875
transcript.pyannote[90].end 227.10096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 227.47221875
transcript.pyannote[91].end 230.10471875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 227.75909375
transcript.pyannote[92].end 227.97846875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 230.40846875
transcript.pyannote[93].end 231.91034375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 231.97784375
transcript.pyannote[94].end 234.22221875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 234.62721875
transcript.pyannote[95].end 235.55534375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 236.16284375
transcript.pyannote[96].end 238.03596875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 238.59284375
transcript.pyannote[97].end 240.80346875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 241.32659375
transcript.pyannote[98].end 246.22034375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 246.33846875
transcript.pyannote[99].end 246.96284375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 247.18221875
transcript.pyannote[100].end 247.50284375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 247.99221875
transcript.pyannote[101].end 250.35471875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 249.88221875
transcript.pyannote[102].end 250.25346875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 250.43909375
transcript.pyannote[103].end 252.05909375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 252.29534375
transcript.pyannote[104].end 254.75909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 255.67034375
transcript.pyannote[105].end 257.23971875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 258.28596875
transcript.pyannote[106].end 260.42909375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 261.35721875
transcript.pyannote[107].end 262.18409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 263.09534375
transcript.pyannote[108].end 266.65596875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 267.02721875
transcript.pyannote[109].end 267.29721875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 267.85409375
transcript.pyannote[110].end 268.96784375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 270.09846875
transcript.pyannote[111].end 270.84096875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 270.89159375
transcript.pyannote[112].end 273.97971875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 274.41846875
transcript.pyannote[113].end 275.95409375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 276.22409375
transcript.pyannote[114].end 279.10971875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 279.43034375
transcript.pyannote[115].end 280.78034375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 281.15159375
transcript.pyannote[116].end 281.37096875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 281.40471875
transcript.pyannote[117].end 283.19346875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 283.63221875
transcript.pyannote[118].end 287.47971875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 287.64846875
transcript.pyannote[119].end 288.32346875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 288.40784375
transcript.pyannote[120].end 296.71034375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 296.77784375
transcript.pyannote[121].end 297.94221875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 298.24596875
transcript.pyannote[122].end 300.76034375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 301.01346875
transcript.pyannote[123].end 303.05534375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 303.47721875
transcript.pyannote[124].end 305.58659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 305.80596875
transcript.pyannote[125].end 311.49284375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 311.81346875
transcript.pyannote[126].end 320.72346875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 321.14534375
transcript.pyannote[127].end 326.83221875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 327.25409375
transcript.pyannote[128].end 329.95409375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 330.71346875
transcript.pyannote[129].end 332.06346875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 332.33346875
transcript.pyannote[130].end 336.21471875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 336.43409375
transcript.pyannote[131].end 343.26846875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 341.69909375
transcript.pyannote[132].end 342.76221875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 342.76221875
transcript.pyannote[133].end 343.13346875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 343.13346875
transcript.pyannote[134].end 343.21784375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 344.43284375
transcript.pyannote[135].end 344.63534375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 345.39471875
transcript.pyannote[136].end 347.09909375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 347.80784375
transcript.pyannote[137].end 349.09034375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 353.69721875
transcript.pyannote[138].end 354.40596875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 354.62534375
transcript.pyannote[139].end 355.82346875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 355.82346875
transcript.pyannote[140].end 355.97534375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 355.97534375
transcript.pyannote[141].end 360.27846875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 356.00909375
transcript.pyannote[142].end 356.11034375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 360.73409375
transcript.pyannote[143].end 361.99971875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 362.32034375
transcript.pyannote[144].end 363.99096875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 364.37909375
transcript.pyannote[145].end 365.69534375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 365.84721875
transcript.pyannote[146].end 367.43346875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 367.78784375
transcript.pyannote[147].end 370.55534375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 370.92659375
transcript.pyannote[148].end 374.82471875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 375.12846875
transcript.pyannote[149].end 377.60909375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 377.69346875
transcript.pyannote[150].end 387.68346875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 387.90284375
transcript.pyannote[151].end 389.86034375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 390.50159375
transcript.pyannote[152].end 394.23096875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 394.55159375
transcript.pyannote[153].end 397.11659375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 397.38659375
transcript.pyannote[154].end 398.66909375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 399.22596875
transcript.pyannote[155].end 404.44034375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 404.62596875
transcript.pyannote[156].end 406.78596875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 407.22471875
transcript.pyannote[157].end 410.53221875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 410.85284375
transcript.pyannote[158].end 411.46034375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 411.94971875
transcript.pyannote[159].end 414.16034375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 414.32909375
transcript.pyannote[160].end 416.96159375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 417.31596875
transcript.pyannote[161].end 419.12159375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 419.45909375
transcript.pyannote[162].end 423.45846875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 423.77909375
transcript.pyannote[163].end 428.35221875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 428.48721875
transcript.pyannote[164].end 432.80721875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 430.91721875
transcript.pyannote[165].end 431.23784375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 431.98034375
transcript.pyannote[166].end 432.21659375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 433.88721875
transcript.pyannote[167].end 456.82034375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 436.92471875
transcript.pyannote[168].end 437.29596875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 437.29596875
transcript.pyannote[169].end 437.32971875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 439.15221875
transcript.pyannote[170].end 439.62471875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 456.90471875
transcript.pyannote[171].end 465.02159375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 465.22409375
transcript.pyannote[172].end 474.80909375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 475.48409375
transcript.pyannote[173].end 476.56409375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 476.85096875
transcript.pyannote[174].end 477.71159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 478.11659375
transcript.pyannote[175].end 483.63471875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 483.65159375
transcript.pyannote[176].end 491.02596875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 491.34659375
transcript.pyannote[177].end 497.05034375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 498.24846875
transcript.pyannote[178].end 500.13846875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 500.56034375
transcript.pyannote[179].end 501.28596875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 502.85534375
transcript.pyannote[180].end 503.37846875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 503.59784375
transcript.pyannote[181].end 516.23721875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 516.77721875
transcript.pyannote[182].end 519.44346875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 519.93284375
transcript.pyannote[183].end 549.14346875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 549.10971875
transcript.pyannote[184].end 554.88096875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 555.42096875
transcript.pyannote[185].end 557.80034375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 557.86784375
transcript.pyannote[186].end 560.98971875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 561.24284375
transcript.pyannote[187].end 563.38596875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 563.47034375
transcript.pyannote[188].end 565.59659375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 565.79909375
transcript.pyannote[189].end 567.48659375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 567.84096875
transcript.pyannote[190].end 569.07284375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 569.41034375
transcript.pyannote[191].end 570.13596875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 570.43971875
transcript.pyannote[192].end 573.34221875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 573.56159375
transcript.pyannote[193].end 577.98284375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 578.13471875
transcript.pyannote[194].end 583.11284375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 578.18534375
transcript.pyannote[195].end 578.23596875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 578.55659375
transcript.pyannote[196].end 578.79284375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 582.60659375
transcript.pyannote[197].end 583.73721875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 585.34034375
transcript.pyannote[198].end 588.14159375
transcript.whisperx[0].start 3.551
transcript.whisperx[0].end 15.36
transcript.whisperx[0].text 好 稍微我們一位同仁請我們中選會被提名人我們的主委我們的游老師游教授
transcript.whisperx[1].start 22.692
transcript.whisperx[1].end 42.511
transcript.whisperx[1].text 委員好首先恭喜你被提名人但是我發早上很多人的爭議還是未來在網路上的假訊息包含不再去投票這是未來你當主委你要去推動要去承擔因為過去的九二一
transcript.whisperx[2].start 44.712
transcript.whisperx[2].end 60.899
transcript.whisperx[2].text 過去的九合一上上這就是一個亂象那亂象的話你當一個主委你整個選舉的步調以及規劃都要很妥善現在那個整個中選會在這幾年
transcript.whisperx[3].start 62.96
transcript.whisperx[3].end 88.971
transcript.whisperx[3].text 其實我們中選會我也是很肯定因為這幾年真的改變很多 國民黨的心目中真的有徹底改變但是未來不再舉投票這事還要好好的去規劃還有在網路以境外的假信息的問題假信息的問題我認為主委你應該是一個學者出身
transcript.whisperx[4].start 89.81
transcript.whisperx[4].end 116.772
transcript.whisperx[4].text 應該對這個問題 你要怎樣去第一時間你要怎樣去耗資 怎樣去開發 怎樣去下架這是未來你要做的 是不是主委這一點你來做說明好不好謝謝吳委員的指教假訊息特別是在網路的時代的新型是所有民主國家必須面對的巨大的挑戰
transcript.whisperx[5].start 118.055
transcript.whisperx[5].end 145.057
transcript.whisperx[5].text 怎麼樣在假訊息衝刺之下能夠維持選務的公正性能夠讓所有的候選人還有選民都能夠獲得最好的保障這是中選會或是任何國家的選務單位必須面對的問題所以未來如果針對這個部分來說我相信中選會同仁
transcript.whisperx[6].start 147.486
transcript.whisperx[6].end 157.485
transcript.whisperx[6].text 這方面經驗是非常豐富啦但是我們面對的是一個瞬息萬變的世界尤其是AI的時代所以
transcript.whisperx[7].start 159.076
transcript.whisperx[7].end 184.851
transcript.whisperx[7].text 中選會怎麼樣能夠去面對這個問題中選會這個自己要有所節目但同時呢中選會是一個行政單位也需要立法院的強力的支持給予他賦予他能力賦予他資源讓他能夠應付這一個高度複雜而且充滿不確定性的年代
transcript.whisperx[8].start 187.683
transcript.whisperx[8].end 207.567
transcript.whisperx[8].text 我們主委我們提名人真的你說這樣回答因為早過去中選會每次的選舉都是有一些網路的誤導以及境外的勢力介入但是那時候很多都是反應中選會但是中選會還是沒作為
transcript.whisperx[9].start 210.629
transcript.whisperx[9].end 237.463
transcript.whisperx[9].text 等到要有作為已經選舉完了這對候選人是非常的不公平所以這一點我要拜託我們未來的諸位這點一定要記著雖然是說我們要確保每一個好選人他們的反應例如說第一時間的反應我們都要立即的去處理這樣不做好選人他受到這真的是不公平啦
transcript.whisperx[10].start 238.909
transcript.whisperx[10].end 266.29
transcript.whisperx[10].text 這一點 我再請教你 你說不在一起投票這一點 我聽剛才建平委員在執行 你也是以大舉雙手贊成那未來實施的時效是什麼時候目前中山會建議是這樣就是說從公民投票開始實施
transcript.whisperx[11].start 268.438
transcript.whisperx[11].end 293.987
transcript.whisperx[11].text 從單一的全國性公民投票開始實施之後呢那逐步的累積這方面的不在籍投票的相關的經驗降低他的弊端然後一步一步的推進到全國性的選舉包括總統立委甚至到地方的選舉這是需要一個過程一段時間
transcript.whisperx[12].start 294.967
transcript.whisperx[12].end 310.602
transcript.whisperx[12].text 不是立刻就去做事實上中選會也沒辦法決定我們立刻就去做中選會還是要遵循立法院制定的法律然後我們才能夠去依法行政但是中選會
transcript.whisperx[13].start 312.283
transcript.whisperx[13].end 329.867
transcript.whisperx[13].text 秉持选务机关的立场也有责任和义务提供给立法院最充分的资讯可能面对的困难是什么问题是什么我们的建议是什么我想这是中选会应该去做而且能做的
transcript.whisperx[14].start 330.762
transcript.whisperx[14].end 346.578
transcript.whisperx[14].text 好 謝謝我們當然啦 我們中選會大家都期待嘛 要有作為嘛這是大家共同的期待以及目標嘛好 謝謝 各位行政委員那我請行政院秘書長請秘書長
transcript.whisperx[15].start 353.737
transcript.whisperx[15].end 358.461
transcript.whisperx[15].text 委員長 委員長 現在全國 因為我看我們的媒體在報導我們的沙石的問題廢棄物的問題 現在是非常的嚴重所以說在這個部分 應該是我們在中央要跟地方政府來做協調
transcript.whisperx[16].start 375.437
transcript.whisperx[16].end 389.013
transcript.whisperx[16].text 包含說每一管區 他們就可以設置一個掩埋場或是呢 你說停台北港 就是說每一個地方也不要說讓砂石運到各縣市 這樣就變成一個
transcript.whisperx[17].start 390.735
transcript.whisperx[17].end 418.761
transcript.whisperx[17].text 流竄又是一個亂道的問題所以說這個博文現在應該因為現在大家都反應說都是中央規定啦什麼都推給中央這對我們中央非常的不公平所以我認為行政院應該找地方政府大家來來設置要怎樣來處理包含我們的填海照路包含我們的港口
transcript.whisperx[18].start 419.68
transcript.whisperx[18].end 431.02
transcript.whisperx[18].text 港口旁邊很多要有我們的後櫃一些大型的工業區這都可以來推動委員跟召委可以給我差不多三分鐘來報告跟說明
transcript.whisperx[19].start 433.962
transcript.whisperx[19].end 463.081
transcript.whisperx[19].text 稍微這個事情可以用三方面來跟大家報告第一GPS的部分現在中央的政策是你可以用中央無關系來進步或是環境部的GPS這可以進入第二有很多地方原本就有用GPS無關系手機或是車機都可以進入我們用GPS雙軌制的方式讓能夠載運沙石土方的車子能夠上路去載這是第一部分第二部分剛才委員
transcript.whisperx[20].start 464.062
transcript.whisperx[20].end 473.792
transcript.whisperx[20].text 在找尋的戰智場的部分 現在中央加密集在跟地方開會在協調 中央會找從北到南 八個戰智場
transcript.whisperx[21].start 475.563
transcript.whisperx[21].end 499.924
transcript.whisperx[21].text 包括台北港台中港張濱工業區台南有一部分那高雄這邊也有這個南興計畫的土地我們中央找八個站置場希望地方也能夠進來這個協助管理車可以走 也是有地方可以走這是第二部分 第三部分是就簡正便民的部分啦以前是這個
transcript.whisperx[22].start 503.686
transcript.whisperx[22].end 517
transcript.whisperx[22].text 土方出來 要先經過土資廠再到最終處置廠 但是土方有些依照法規 它是有加料 現在可以從這個出廠直接到最終處理廠 又或者是在台中經過分析70%的部分是可以
transcript.whisperx[23].start 521.484
transcript.whisperx[23].end 548.258
transcript.whisperx[23].text 也能夠就地來做合法的交易我們從這三個面向來做 還需要一些時間中央可以跟地方做的合作 公共工程也好各種私人的工程也好 能夠在合乎法律的規定之下讓土方的全流向的管制 穩健的上路還需要一點時間 中央地方會合作政府民間也會一起合作 依從委員報告
transcript.whisperx[24].start 550.179
transcript.whisperx[24].end 573.115
transcript.whisperx[24].text 好 謝謝你說一些可再利用的這種的大家都不要說一味的全部都規定的實施的這樣我就去解決他們的問題不然現在很多你說每次我們土匪都在推動建設包括公共工程現在也是土方沒有武器處這一點就是他們都來帶我們陳情所以說我今天 祕書長你有來特別幫你提起
transcript.whisperx[25].start 578.873
transcript.whisperx[25].end 581.399
transcript.whisperx[25].text 好 謝謝有什麼歡迎再麻煩委員跟行政院來講 我們會繼續拍片 謝謝謝謝我們感謝吳啟明