iVOD / 168225

Field Value
IVOD_ID 168225
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168225
日期 2026-04-08
會議資料.會議代碼 委員會-11-5-23-5
會議資料.會議代碼:str 第11屆第5會期交通委員會第5次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第5會期交通委員會第5次全體委員會議
影片種類 Clip
開始時間 2026-04-08T10:12:26+08:00
結束時間 2026-04-08T10:22:02+08:00
影片長度 00:09:36
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/70d8fc05dcd8abb09b646b8b1e766b05f747912251df0827212c5ce4660756d3fd79bbc0b0a3b3945ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 10:12:26 - 10:22:02
會議時間 2026-04-08T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第5次全體委員會議(事由:邀請數位發展部部長林宜敬列席報告業務概況,並備質詢。【4月8日及9日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 2.30909375
transcript.pyannote[0].end 2.73096875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 2.86596875
transcript.pyannote[1].end 5.59971875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 5.78534375
transcript.pyannote[2].end 6.61221875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 12.14721875
transcript.pyannote[3].end 12.85596875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 13.12596875
transcript.pyannote[4].end 13.80096875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 14.30721875
transcript.pyannote[5].end 16.48409375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 17.14221875
transcript.pyannote[6].end 19.45409375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 20.29784375
transcript.pyannote[7].end 23.58846875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 24.71909375
transcript.pyannote[8].end 28.36409375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 28.76909375
transcript.pyannote[9].end 30.03471875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 30.15284375
transcript.pyannote[10].end 30.92909375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 31.01346875
transcript.pyannote[11].end 31.11471875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 31.62096875
transcript.pyannote[12].end 33.74721875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 34.00034375
transcript.pyannote[13].end 36.31221875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 34.16909375
transcript.pyannote[14].end 34.18596875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 36.97034375
transcript.pyannote[15].end 39.29909375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 39.63659375
transcript.pyannote[16].end 42.43784375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 43.23096875
transcript.pyannote[17].end 43.72034375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 44.22659375
transcript.pyannote[18].end 46.65659375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 47.04471875
transcript.pyannote[19].end 49.99784375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 50.57159375
transcript.pyannote[20].end 52.63034375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 52.96784375
transcript.pyannote[21].end 56.34284375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 57.05159375
transcript.pyannote[22].end 59.51534375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 60.71346875
transcript.pyannote[23].end 63.51471875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 64.39221875
transcript.pyannote[24].end 65.89409375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 65.97846875
transcript.pyannote[25].end 66.02909375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 66.07971875
transcript.pyannote[26].end 68.45909375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 68.98221875
transcript.pyannote[27].end 69.75846875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 69.82596875
transcript.pyannote[28].end 70.21409375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 70.82159375
transcript.pyannote[29].end 75.25971875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 75.51284375
transcript.pyannote[30].end 76.98096875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 77.41971875
transcript.pyannote[31].end 79.12409375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 79.84971875
transcript.pyannote[32].end 80.18721875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 80.44034375
transcript.pyannote[33].end 81.75659375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 81.90846875
transcript.pyannote[34].end 83.62971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 81.92534375
transcript.pyannote[35].end 82.02659375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 82.02659375
transcript.pyannote[36].end 82.31346875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 84.05159375
transcript.pyannote[37].end 85.73909375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 86.56596875
transcript.pyannote[38].end 89.53596875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 86.68409375
transcript.pyannote[39].end 86.88659375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 88.75971875
transcript.pyannote[40].end 89.40096875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 89.67096875
transcript.pyannote[41].end 92.59034375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 92.91096875
transcript.pyannote[42].end 95.23971875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 94.83471875
transcript.pyannote[43].end 94.85159375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 95.74596875
transcript.pyannote[44].end 99.69471875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 100.40346875
transcript.pyannote[45].end 101.50034375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 100.82534375
transcript.pyannote[46].end 115.62471875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 105.02721875
transcript.pyannote[47].end 105.26346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 105.26346875
transcript.pyannote[48].end 105.31409375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 110.10659375
transcript.pyannote[49].end 110.54534375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 116.02971875
transcript.pyannote[50].end 120.01221875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 120.11346875
transcript.pyannote[51].end 141.42659375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 127.30221875
transcript.pyannote[52].end 127.60596875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 141.94971875
transcript.pyannote[53].end 143.94096875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 142.01721875
transcript.pyannote[54].end 142.47284375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 143.94096875
transcript.pyannote[55].end 144.10971875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 144.10971875
transcript.pyannote[56].end 144.29534375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 144.37971875
transcript.pyannote[57].end 144.43034375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 144.43034375
transcript.pyannote[58].end 144.81846875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 144.81846875
transcript.pyannote[59].end 144.86909375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 145.93221875
transcript.pyannote[60].end 147.48471875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 147.68721875
transcript.pyannote[61].end 147.94034375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 148.14284375
transcript.pyannote[62].end 153.30659375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 153.64409375
transcript.pyannote[63].end 154.04909375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 154.48784375
transcript.pyannote[64].end 154.82534375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 155.12909375
transcript.pyannote[65].end 156.44534375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 157.79534375
transcript.pyannote[66].end 158.87534375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 158.94284375
transcript.pyannote[67].end 159.87096875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 160.07346875
transcript.pyannote[68].end 160.74846875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 161.67659375
transcript.pyannote[69].end 163.92096875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 164.35971875
transcript.pyannote[70].end 166.16534375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 166.80659375
transcript.pyannote[71].end 168.35909375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 169.30409375
transcript.pyannote[72].end 170.85659375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 171.32909375
transcript.pyannote[73].end 172.61159375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 173.33721875
transcript.pyannote[74].end 173.65784375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 174.23159375
transcript.pyannote[75].end 175.36221875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 176.15534375
transcript.pyannote[76].end 180.03659375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 180.54284375
transcript.pyannote[77].end 181.67346875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 182.02784375
transcript.pyannote[78].end 183.51284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 182.73659375
transcript.pyannote[79].end 182.80409375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 185.33534375
transcript.pyannote[80].end 185.92596875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 187.10721875
transcript.pyannote[81].end 187.79909375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 188.64284375
transcript.pyannote[82].end 189.30096875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 189.46971875
transcript.pyannote[83].end 190.21221875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 190.75221875
transcript.pyannote[84].end 192.00096875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 192.33846875
transcript.pyannote[85].end 192.99659375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 193.41846875
transcript.pyannote[86].end 194.80221875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 195.13971875
transcript.pyannote[87].end 196.54034375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 196.96221875
transcript.pyannote[88].end 197.82284375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 198.37971875
transcript.pyannote[89].end 201.72096875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 202.27784375
transcript.pyannote[90].end 203.00346875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 203.89784375
transcript.pyannote[91].end 204.52221875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 205.36596875
transcript.pyannote[92].end 206.26034375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 206.73284375
transcript.pyannote[93].end 208.23471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 208.79159375
transcript.pyannote[94].end 209.23034375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 209.46659375
transcript.pyannote[95].end 210.37784375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 210.54659375
transcript.pyannote[96].end 211.12034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 211.37346875
transcript.pyannote[97].end 212.38596875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 212.70659375
transcript.pyannote[98].end 213.83721875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 214.71471875
transcript.pyannote[99].end 215.01846875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 215.82846875
transcript.pyannote[100].end 217.33034375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 217.63409375
transcript.pyannote[101].end 218.08971875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 218.88284375
transcript.pyannote[102].end 219.65909375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 220.33409375
transcript.pyannote[103].end 222.02159375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 223.11846875
transcript.pyannote[104].end 224.41784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 225.05909375
transcript.pyannote[105].end 227.92784375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 228.46784375
transcript.pyannote[106].end 232.46721875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 234.22221875
transcript.pyannote[107].end 235.57221875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 236.11221875
transcript.pyannote[108].end 236.53409375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 237.39471875
transcript.pyannote[109].end 238.42409375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 239.26784375
transcript.pyannote[110].end 240.19596875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 240.66846875
transcript.pyannote[111].end 241.49534375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 242.47409375
transcript.pyannote[112].end 244.02659375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 244.34721875
transcript.pyannote[113].end 245.03909375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 245.29221875
transcript.pyannote[114].end 246.28784375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 246.89534375
transcript.pyannote[115].end 248.31284375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 249.40971875
transcript.pyannote[116].end 250.74284375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 251.60346875
transcript.pyannote[117].end 252.68346875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 253.57784375
transcript.pyannote[118].end 253.91534375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 254.84346875
transcript.pyannote[119].end 256.15971875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 257.15534375
transcript.pyannote[120].end 259.28159375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 259.63596875
transcript.pyannote[121].end 261.50909375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 262.23471875
transcript.pyannote[122].end 262.82534375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 263.51721875
transcript.pyannote[123].end 263.97284375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 266.25096875
transcript.pyannote[124].end 267.04409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 267.34784375
transcript.pyannote[125].end 268.25909375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 268.73159375
transcript.pyannote[126].end 270.03096875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 271.09409375
transcript.pyannote[127].end 271.76909375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 272.74784375
transcript.pyannote[128].end 273.62534375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 273.74346875
transcript.pyannote[129].end 275.00909375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 275.90346875
transcript.pyannote[130].end 277.70909375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 278.31659375
transcript.pyannote[131].end 278.55284375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 278.90721875
transcript.pyannote[132].end 282.09659375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 282.73784375
transcript.pyannote[133].end 284.86409375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 286.45034375
transcript.pyannote[134].end 287.26034375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 287.41221875
transcript.pyannote[135].end 289.38659375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 289.87596875
transcript.pyannote[136].end 290.60159375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 291.24284375
transcript.pyannote[137].end 293.25096875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 293.72346875
transcript.pyannote[138].end 295.68096875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 297.09846875
transcript.pyannote[139].end 298.38096875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 299.12346875
transcript.pyannote[140].end 300.30471875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 301.18221875
transcript.pyannote[141].end 301.35096875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 301.63784375
transcript.pyannote[142].end 302.34659375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 303.02159375
transcript.pyannote[143].end 306.73409375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 307.59471875
transcript.pyannote[144].end 308.06721875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 309.11346875
transcript.pyannote[145].end 309.90659375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 310.46346875
transcript.pyannote[146].end 318.74909375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 318.96846875
transcript.pyannote[147].end 326.66346875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 326.27534375
transcript.pyannote[148].end 328.70534375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 328.97534375
transcript.pyannote[149].end 330.32534375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 329.68409375
transcript.pyannote[150].end 334.79721875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 333.66659375
transcript.pyannote[151].end 333.85221875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 333.85221875
transcript.pyannote[152].end 333.93659375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 334.83096875
transcript.pyannote[153].end 336.48471875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 334.91534375
transcript.pyannote[154].end 335.45534375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 337.09221875
transcript.pyannote[155].end 338.66159375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 339.25221875
transcript.pyannote[156].end 341.91846875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 342.45846875
transcript.pyannote[157].end 342.77909375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 343.30221875
transcript.pyannote[158].end 344.75346875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 345.63096875
transcript.pyannote[159].end 347.41971875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 347.41971875
transcript.pyannote[160].end 347.43659375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 347.67284375
transcript.pyannote[161].end 369.62721875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 368.37846875
transcript.pyannote[162].end 373.32284375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 370.04909375
transcript.pyannote[163].end 370.60596875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 374.18346875
transcript.pyannote[164].end 376.88346875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 376.96784375
transcript.pyannote[165].end 382.70534375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 383.16096875
transcript.pyannote[166].end 388.47659375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 389.05034375
transcript.pyannote[167].end 390.94034375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 391.44659375
transcript.pyannote[168].end 392.52659375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 392.94846875
transcript.pyannote[169].end 400.60971875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 396.84659375
transcript.pyannote[170].end 410.09346875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 408.94596875
transcript.pyannote[171].end 421.83846875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 411.67971875
transcript.pyannote[172].end 412.96221875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 414.21096875
transcript.pyannote[173].end 414.27846875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 421.58534375
transcript.pyannote[174].end 421.87221875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 421.87221875
transcript.pyannote[175].end 421.88909375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 421.88909375
transcript.pyannote[176].end 434.29221875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 423.25596875
transcript.pyannote[177].end 425.21346875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 426.88409375
transcript.pyannote[178].end 427.64346875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 433.26284375
transcript.pyannote[179].end 436.26659375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 434.42721875
transcript.pyannote[180].end 434.54534375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 435.59159375
transcript.pyannote[181].end 437.73471875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 437.05971875
transcript.pyannote[182].end 441.95346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 438.40971875
transcript.pyannote[183].end 438.76409375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 442.22346875
transcript.pyannote[184].end 447.16784375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 444.41721875
transcript.pyannote[185].end 444.75471875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 447.74159375
transcript.pyannote[186].end 448.45034375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 449.07471875
transcript.pyannote[187].end 451.80846875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 452.28096875
transcript.pyannote[188].end 454.69409375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 454.96409375
transcript.pyannote[189].end 456.09471875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 456.28034375
transcript.pyannote[190].end 462.64221875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 463.78971875
transcript.pyannote[191].end 465.24096875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 465.24096875
transcript.pyannote[192].end 465.73034375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 465.61221875
transcript.pyannote[193].end 466.62471875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 467.43471875
transcript.pyannote[194].end 468.24471875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 469.88159375
transcript.pyannote[195].end 471.56909375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 474.28596875
transcript.pyannote[196].end 481.06971875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 476.27721875
transcript.pyannote[197].end 476.71596875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 476.95221875
transcript.pyannote[198].end 478.03221875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 479.61846875
transcript.pyannote[199].end 480.24284375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 481.13721875
transcript.pyannote[200].end 481.15409375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 481.15409375
transcript.pyannote[201].end 485.45721875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 485.77784375
transcript.pyannote[202].end 486.16596875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 486.33471875
transcript.pyannote[203].end 486.82409375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 487.06034375
transcript.pyannote[204].end 487.88721875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 488.44409375
transcript.pyannote[205].end 490.30034375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 490.77284375
transcript.pyannote[206].end 497.65784375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 498.02909375
transcript.pyannote[207].end 501.62346875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 501.97784375
transcript.pyannote[208].end 502.33221875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 502.45034375
transcript.pyannote[209].end 504.99846875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 505.58909375
transcript.pyannote[210].end 507.69846875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 508.40721875
transcript.pyannote[211].end 509.14971875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 510.12846875
transcript.pyannote[212].end 512.03534375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 511.22534375
transcript.pyannote[213].end 511.66409375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 512.22096875
transcript.pyannote[214].end 526.41284375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 512.25471875
transcript.pyannote[215].end 513.18284375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 513.92534375
transcript.pyannote[216].end 514.31346875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 514.31346875
transcript.pyannote[217].end 515.08971875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 515.34284375
transcript.pyannote[218].end 516.42284375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 525.14721875
transcript.pyannote[219].end 525.99096875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 526.61534375
transcript.pyannote[220].end 531.13784375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 526.64909375
transcript.pyannote[221].end 526.93596875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 532.16721875
transcript.pyannote[222].end 537.06096875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 538.22534375
transcript.pyannote[223].end 538.30971875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 538.30971875
transcript.pyannote[224].end 539.03534375
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 539.03534375
transcript.pyannote[225].end 547.42221875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 539.10284375
transcript.pyannote[226].end 540.35159375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 543.35534375
transcript.pyannote[227].end 543.87846875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 545.88659375
transcript.pyannote[228].end 548.18159375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 548.18159375
transcript.pyannote[229].end 548.21534375
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 548.21534375
transcript.pyannote[230].end 555.58971875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 548.26596875
transcript.pyannote[231].end 549.26159375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 555.58971875
transcript.pyannote[232].end 557.20971875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 556.07909375
transcript.pyannote[233].end 561.49596875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 560.97284375
transcript.pyannote[234].end 566.06909375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 563.08221875
transcript.pyannote[235].end 564.09471875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 564.82034375
transcript.pyannote[236].end 568.24596875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 566.23784375
transcript.pyannote[237].end 566.25471875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 566.28846875
transcript.pyannote[238].end 566.49096875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 568.22909375
transcript.pyannote[239].end 568.65096875
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 568.65096875
transcript.pyannote[240].end 569.51159375
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 569.81534375
transcript.pyannote[241].end 569.84909375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 569.84909375
transcript.pyannote[242].end 569.91659375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 569.91659375
transcript.pyannote[243].end 569.96721875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 569.96721875
transcript.pyannote[244].end 570.23721875
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 570.23721875
transcript.pyannote[245].end 570.25409375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 570.25409375
transcript.pyannote[246].end 576.09284375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 571.90784375
transcript.pyannote[247].end 573.74721875
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 573.74721875
transcript.pyannote[248].end 573.84846875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 574.18596875
transcript.pyannote[249].end 574.40534375
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 574.62471875
transcript.pyannote[250].end 575.73846875
transcript.whisperx[0].start 3.029
transcript.whisperx[0].end 29.194
transcript.whisperx[0].text 好 謝謝主席 本席邀請我們樹瓜部林部長來 請林部長林委員早安部長早部長 最近有發生LINE的資料外洩的問題是LINE在台灣的市佔率多少 你知道嗎在通訊軟體啊 是LINE的市佔率啊 大概90%是
transcript.whisperx[1].start 31.67
transcript.whisperx[1].end 59.321
transcript.whisperx[1].text 那它的使用滲透率就真正有在使用通訊軟體的大概有93%是就15歲到65歲是這個市佔率九成是就是大概壟斷了是那第二個使用滲透率93那幾乎是全民在使用是九成三每個人都在用那裡是
transcript.whisperx[2].start 60.785
transcript.whisperx[2].end 85.558
transcript.whisperx[2].text 所以在台灣我可以說在通訊軟體LINE是絕對的主導的一個平台沒有第二第二離他非常遠所以台灣人很奇怪全民都愛用LINELINE如果出現安全的危機這個影響非常大這次大概有多少人受害
transcript.whisperx[3].start 86.618
transcript.whisperx[3].end 114.871
transcript.whisperx[3].text 部長你有沒有掌握目前還有為什麼就是某一家電信公司的用者是好像是台哥大是他用者幾乎都是他的台哥大使用者被駭客盜取是為什麼目前台哥大他接貨的那個客宿只有16件但是據我們了解這個數目量受害的民眾遠超過16個人那很多人可能是發生這個問題以後他沒有去進行客宿那
transcript.whisperx[4].start 116.652
transcript.whisperx[4].end 144.505
transcript.whisperx[4].text 這個事情就是基本上是兩個就是我們先講說那個台灣大哥大事實上發生這個問題的帳號大部分是來自於那個台灣之星的帳號因為之前台灣大哥大病了台灣之星然後台灣之星那些帳號原來他的設定他的語音信箱的密碼就是有一個固定的就是0000或1234所以駭客知道這個事情以後他們就是利用這個漏洞去表示這個就是有治安漏洞了是對不對
transcript.whisperx[5].start 145.98
transcript.whisperx[5].end 168.28
transcript.whisperx[5].text NINE如果出事情以它在台灣的壟斷地位那就影響到很多人所以我也想要跟部長提一件事如果客戶使用NINE受害了NINE能夠做哪些事情
transcript.whisperx[6].start 169.352
transcript.whisperx[6].end 181.286
transcript.whisperx[6].text 或者說政府對於使用者的保護OK你知不知道其實使用者跟line他是有一個定型化契約是蘇團署有沒有來林署長來這個這個就是
transcript.whisperx[7].start 188.686
transcript.whisperx[7].end 213.81
transcript.whisperx[7].text 我們消費者這應該是書端書寫的啦說不寫的電信化契約這個電信化契約裡面他就寫著任何這個是適用於任何的通訊平台不是只有那裡啦如果你招冒用就你的帳號被冒用了那麼這個平台應該要回復到該帳號的使用來保護使用者嘛第二個
transcript.whisperx[8].start 218.939
transcript.whisperx[8].end 248.282
transcript.whisperx[8].text 如果你經營者的系統被突破不法入侵或破壞那麼你要採取合理的措施趕快給他回覆並且對於消費者所受的損害要負培養責任那這個定型化契約啊有啦這政府定的喔那根本啊沒有在執行也沒有辦法做到保護消費者就是使用者的權利啦
transcript.whisperx[9].start 249.448
transcript.whisperx[9].end 277.594
transcript.whisperx[9].text 你如果被盜用了那麼你的帳號是沒有辦法完全回覆如果你沒有綁google沒有綁什麼line會叫你重新申請一個帳號這第一個啦第二個你的帳號被冒用以後那麼line它只能回覆你部分的功能就你有花錢買了一些東西啦
transcript.whisperx[10].start 278.947
transcript.whisperx[10].end 306.426
transcript.whisperx[10].text 那其他的你的好友不見了你參加的群組都不見了你的好友你還要一個一個去加回來那你之前在跟好友之間的彼此之間往來的資訊還有你加入的群組全部都不見了這完全沒有達到我們速發部的跟業者以及消費者之間你所訂出來的這個定型化契約
transcript.whisperx[11].start 307.645
transcript.whisperx[11].end 336.257
transcript.whisperx[11].text 是不是這樣子那署長你的意見是 跟委員回報NINE的部分在這件事情的處理他就是沉入委員剛剛講的不過他現在正在調查受損的使用者有多少所以我們還沒有跟他再洽談進一步的這個這個定期化契約的法律的問題你沒有回答我的問題啦OK 我來申請問NINE不是現在才發生使用者被冒用帳號被盜用從以前到現在
transcript.whisperx[12].start 337.15
transcript.whisperx[12].end 344.862
transcript.whisperx[12].text 只要你的那出問題那公司都沒有辦法回覆你了是那他也不會賠償你了
transcript.whisperx[13].start 345.666
transcript.whisperx[13].end 373.184
transcript.whisperx[13].text 那你的資料所有的東西通通不見了跟委員說明一下我們如果說以最近發生的這件事情來講的話這個事實上是兩家公司兩個不是很大的資安漏洞但是這兩個資安漏洞結合起來就變成一個大的資安漏洞那這個責任歸屬到底是在台灣大哥大還是在line上面我想這個可能就是說到時候會必須是我是消費者我是使用者你們之間的責任那關我什麼事情
transcript.whisperx[14].start 374.535
transcript.whisperx[14].end 387.227
transcript.whisperx[14].text 你要回復我的權益啊按照這個契約寫的你的帳號要還我啊那我之前在這個通訊平台裡面的內容資料你要還我啊你要復原啊
transcript.whisperx[15].start 389.113
transcript.whisperx[15].end 407.293
transcript.whisperx[15].text 否則你就不要訂這樣的一個契約嘛你訂這個契約喔這個是我們政府書發部書發部寫的定型化契約你現在寫了沒有辦法保護消費者現在就是說對於系統遭不法入侵或破壞齁那這個事情其實在解釋上面就是說對賴來講的話那是因為從你以前
transcript.whisperx[16].start 410.196
transcript.whisperx[16].end 421.472
transcript.whisperx[16].text 你現在跟我講是最近發生的事我跟你說從以前到現在 現在都不是做這種事任何通訊軟體都沒有依照我們電信化契約去做回覆帳號還有他的內容從來沒有因為我們在那個
transcript.whisperx[17].start 426.96
transcript.whisperx[17].end 446.885
transcript.whisperx[17].text 所以他有做一個叫做再次登入的功能就是你如果說帳號被盜然後在24小時之內你當部長你當部長你去了解清楚是沒有錯沒有問題這個事情你的耐使用者你的好友就全部消失了你要一個一個加回來你的群組就都沒了你買一個一個去找回來是
transcript.whisperx[18].start 447.999
transcript.whisperx[18].end 471.405
transcript.whisperx[18].text 所以要嘛你就修改電信外企業你做不到你就不要下你如果寫出來你就要求通訊軟體業者你要做到這樣的事情我們會強烈監督一年來LINE的客戶投資有多少件這個我不知道這個要跟LINE才會知道你們的資料有啊大概有我掌握資訊大概五千多件一百多件
transcript.whisperx[19].start 474.4
transcript.whisperx[19].end 490.081
transcript.whisperx[19].text 等一下這個是講的是說給倒數殘除的那個倒數殘除的客戶是不是還是倒賴的客戶五千多件啊那很多就是他的客戶的資料會消失所以我想說喔伯父既然
transcript.whisperx[20].start 491.042
transcript.whisperx[20].end 507.416
transcript.whisperx[20].text 國人幾乎通訊軟體都是使用LINE市佔率也到達九成使用者滲透率是93%幾乎就是台灣的國民通訊軟體那麼我們就應該要求LINE啊任何系統都可能會發生類似這種
transcript.whisperx[21].start 510.401
transcript.whisperx[21].end 530.982
transcript.whisperx[21].text 這種安全漏洞你要趕快把它補起來你要加強你的防護不要再發生如果萬一發生了那麼你應該做到至少按照我們契約上寫的你要維護消費者的權利因為帳號要行那人家原來帳號裡面的內容你要給人家恢復啊
transcript.whisperx[22].start 532.256
transcript.whisperx[22].end 548.885
transcript.whisperx[22].text 是對不對不然我們政府這個進行外宣你你就改你就改做不到你就不要寫委員那個我們這個絕對會努力的但是這個因為個案每一個個案裡面都是通常會有些不少那我希望部長要特別重視這個事情因為LINE這個通訊軟體
transcript.whisperx[23].start 550.606
transcript.whisperx[23].end 575.163
transcript.whisperx[23].text 特別不一樣全世界任何國家沒有一個通訊軟體示範率這麼高的是相對的喔這個已經有已經達到我們國安層級了我都是直接找他們台灣的董事長還有那個日本的那個團隊直接來談如果那有一天他整個掛掉了我們彼此之間大家都沒有辦法聯絡是喔是是是這樣好不好好 沒問題好 部長請抓不在努力喔好 我們會加油的謝謝部長