iVOD / 164719

Field Value
IVOD_ID 164719
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164719
日期 2025-10-27
會議資料.會議代碼 委員會-11-4-23-4
會議資料.會議代碼:str 第11屆第4會期交通委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 4
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4會期交通委員會第4次全體委員會議
影片種類 Clip
開始時間 2025-10-27T12:21:03+08:00
結束時間 2025-10-27T12:32:14+08:00
影片長度 00:11:11
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e3c6c6412082f242105ea504fbc1b0fee1e8926e407b158ae4a5f6733a763a60be8a7296b23f08fd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 12:21:03 - 12:32:14
會議時間 2025-10-27T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第4次全體委員會議(事由:一、邀請國家通訊傳播委員會代理主任委員陳崇樹列席報告業務概況,並備質詢。 二、處理113年度中央政府總預算附屬單位預算關於國家通訊傳播委員會主管有線廣播電視事業發展基金專題報告案計1案。 【10月27日、29日及30日三天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 7.62471875
transcript.pyannote[0].end 9.73409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 15.20159375
transcript.pyannote[1].end 15.26909375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 15.26909375
transcript.pyannote[2].end 15.53909375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 15.53909375
transcript.pyannote[3].end 15.82596875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 15.92721875
transcript.pyannote[4].end 32.73471875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 33.62909375
transcript.pyannote[5].end 37.84784375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 38.06721875
transcript.pyannote[6].end 40.02471875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 39.60284375
transcript.pyannote[7].end 46.97721875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 47.48346875
transcript.pyannote[8].end 48.05721875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 47.53409375
transcript.pyannote[9].end 49.52534375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 50.01471875
transcript.pyannote[10].end 50.80784375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 50.67284375
transcript.pyannote[11].end 54.45284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 54.52034375
transcript.pyannote[12].end 59.61659375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 55.27971875
transcript.pyannote[13].end 55.92096875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 56.86596875
transcript.pyannote[14].end 57.65909375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 59.29596875
transcript.pyannote[15].end 66.48471875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 66.73784375
transcript.pyannote[16].end 69.97784375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 70.66971875
transcript.pyannote[17].end 84.40596875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 85.04721875
transcript.pyannote[18].end 87.57846875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 88.54034375
transcript.pyannote[19].end 91.99971875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 92.11784375
transcript.pyannote[20].end 93.83909375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 94.59846875
transcript.pyannote[21].end 97.36596875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 97.41659375
transcript.pyannote[22].end 103.30596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 103.69409375
transcript.pyannote[23].end 111.38909375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 111.96284375
transcript.pyannote[24].end 113.16096875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 114.12284375
transcript.pyannote[25].end 115.42221875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 116.24909375
transcript.pyannote[26].end 128.41596875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 128.90534375
transcript.pyannote[27].end 128.92221875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 128.92221875
transcript.pyannote[28].end 128.93909375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 128.93909375
transcript.pyannote[29].end 128.97284375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 128.97284375
transcript.pyannote[30].end 129.02346875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 129.02346875
transcript.pyannote[31].end 131.40284375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 131.70659375
transcript.pyannote[32].end 134.98034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 135.60471875
transcript.pyannote[33].end 137.41034375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 137.54534375
transcript.pyannote[34].end 149.22284375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 149.57721875
transcript.pyannote[35].end 153.45846875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 153.45846875
transcript.pyannote[36].end 155.24721875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 154.26846875
transcript.pyannote[37].end 167.86971875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 167.86971875
transcript.pyannote[38].end 168.94971875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 168.25784375
transcript.pyannote[39].end 169.25346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 169.25346875
transcript.pyannote[40].end 170.73846875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 170.45159375
transcript.pyannote[41].end 183.31034375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 183.68159375
transcript.pyannote[42].end 184.50846875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 185.26784375
transcript.pyannote[43].end 186.38159375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 186.38159375
transcript.pyannote[44].end 187.02284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 187.02284375
transcript.pyannote[45].end 194.00909375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 195.40971875
transcript.pyannote[46].end 196.33784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 196.65846875
transcript.pyannote[47].end 196.67534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 196.67534375
transcript.pyannote[48].end 197.82284375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 197.82284375
transcript.pyannote[49].end 197.92409375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 198.37971875
transcript.pyannote[50].end 224.29971875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 224.78909375
transcript.pyannote[51].end 225.53159375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 225.43034375
transcript.pyannote[52].end 231.65721875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 232.07909375
transcript.pyannote[53].end 235.77471875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 237.07409375
transcript.pyannote[54].end 243.25034375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 243.48659375
transcript.pyannote[55].end 248.32971875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 248.65034375
transcript.pyannote[56].end 249.32534375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 249.76409375
transcript.pyannote[57].end 252.43034375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 252.51471875
transcript.pyannote[58].end 256.10909375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 256.36221875
transcript.pyannote[59].end 261.01971875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 260.37846875
transcript.pyannote[60].end 264.24284375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 264.24284375
transcript.pyannote[61].end 264.42846875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 264.42846875
transcript.pyannote[62].end 266.94284375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 267.95534375
transcript.pyannote[63].end 268.44471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 268.44471875
transcript.pyannote[64].end 269.76096875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 269.76096875
transcript.pyannote[65].end 271.65096875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 271.80284375
transcript.pyannote[66].end 303.54471875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 283.68284375
transcript.pyannote[67].end 284.15534375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 285.48846875
transcript.pyannote[68].end 285.67409375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 285.72471875
transcript.pyannote[69].end 285.87659375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 303.27471875
transcript.pyannote[70].end 314.26034375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 314.26034375
transcript.pyannote[71].end 314.34471875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 314.34471875
transcript.pyannote[72].end 315.13784375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 314.36159375
transcript.pyannote[73].end 316.85909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 321.01034375
transcript.pyannote[74].end 321.70221875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 322.09034375
transcript.pyannote[75].end 322.68096875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 323.28846875
transcript.pyannote[76].end 325.90409375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 325.90409375
transcript.pyannote[77].end 325.92096875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 327.57471875
transcript.pyannote[78].end 327.94596875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 328.70534375
transcript.pyannote[79].end 330.54471875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 330.98346875
transcript.pyannote[80].end 341.90159375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 332.80596875
transcript.pyannote[81].end 334.89846875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 341.47971875
transcript.pyannote[82].end 342.91409375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 343.04909375
transcript.pyannote[83].end 345.19221875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 345.22596875
transcript.pyannote[84].end 346.33971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 346.71096875
transcript.pyannote[85].end 347.31846875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 348.75284375
transcript.pyannote[86].end 349.29284375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 351.45284375
transcript.pyannote[87].end 352.39784375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 352.39784375
transcript.pyannote[88].end 355.50284375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 353.39346875
transcript.pyannote[89].end 353.57909375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 355.78971875
transcript.pyannote[90].end 364.34534375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 364.53096875
transcript.pyannote[91].end 365.23971875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 364.69971875
transcript.pyannote[92].end 365.93159375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 366.58971875
transcript.pyannote[93].end 369.34034375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 369.50909375
transcript.pyannote[94].end 370.89284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 371.63534375
transcript.pyannote[95].end 373.91346875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 376.00596875
transcript.pyannote[96].end 377.47409375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 378.65534375
transcript.pyannote[97].end 384.81471875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 384.19034375
transcript.pyannote[98].end 389.20221875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 389.38784375
transcript.pyannote[99].end 390.68721875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 390.16409375
transcript.pyannote[100].end 392.15534375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 392.59409375
transcript.pyannote[101].end 407.61284375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 407.88284375
transcript.pyannote[102].end 409.26659375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 409.26659375
transcript.pyannote[103].end 410.22846875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 409.55346875
transcript.pyannote[104].end 411.20721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 411.29159375
transcript.pyannote[105].end 415.81409375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 411.46034375
transcript.pyannote[106].end 412.16909375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 415.91534375
transcript.pyannote[107].end 418.00784375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 418.29471875
transcript.pyannote[108].end 419.15534375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 419.64471875
transcript.pyannote[109].end 426.31034375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 427.52534375
transcript.pyannote[110].end 430.54596875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 430.73159375
transcript.pyannote[111].end 434.22471875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 434.98409375
transcript.pyannote[112].end 436.84034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 437.32971875
transcript.pyannote[113].end 439.81034375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 440.40096875
transcript.pyannote[114].end 447.48846875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 441.26159375
transcript.pyannote[115].end 441.63284375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 447.74159375
transcript.pyannote[116].end 448.09596875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 448.06221875
transcript.pyannote[117].end 449.85096875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 450.96471875
transcript.pyannote[118].end 454.35659375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 454.94721875
transcript.pyannote[119].end 459.99284375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 457.86659375
transcript.pyannote[120].end 461.84909375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 463.31721875
transcript.pyannote[121].end 471.70409375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 470.35409375
transcript.pyannote[122].end 482.60534375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 483.17909375
transcript.pyannote[123].end 489.10221875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 488.22471875
transcript.pyannote[124].end 507.02346875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 507.02346875
transcript.pyannote[125].end 507.66471875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 507.32721875
transcript.pyannote[126].end 509.84159375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 510.33096875
transcript.pyannote[127].end 510.97221875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 510.46596875
transcript.pyannote[128].end 512.15346875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 512.33909375
transcript.pyannote[129].end 518.26221875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 514.70159375
transcript.pyannote[130].end 516.38909375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 517.77284375
transcript.pyannote[131].end 528.97784375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 522.66659375
transcript.pyannote[132].end 523.78034375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 529.83846875
transcript.pyannote[133].end 539.00159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 539.60909375
transcript.pyannote[134].end 540.84096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 542.08971875
transcript.pyannote[135].end 543.50721875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 543.62534375
transcript.pyannote[136].end 545.97096875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 545.86971875
transcript.pyannote[137].end 550.79721875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 551.32034375
transcript.pyannote[138].end 557.64846875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 558.62721875
transcript.pyannote[139].end 573.76409375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 573.98346875
transcript.pyannote[140].end 575.28284375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 575.04659375
transcript.pyannote[141].end 577.08846875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 577.71284375
transcript.pyannote[142].end 580.32846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 580.32846875
transcript.pyannote[143].end 591.31409375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 591.31409375
transcript.pyannote[144].end 593.06909375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 593.10284375
transcript.pyannote[145].end 599.39721875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 599.76846875
transcript.pyannote[146].end 605.77596875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 607.37909375
transcript.pyannote[147].end 608.99909375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 609.97784375
transcript.pyannote[148].end 620.42346875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 620.44034375
transcript.pyannote[149].end 622.48221875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 623.91659375
transcript.pyannote[150].end 625.40159375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 626.22846875
transcript.pyannote[151].end 631.13909375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 631.13909375
transcript.pyannote[152].end 631.22346875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 631.22346875
transcript.pyannote[153].end 632.65784375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 632.70846875
transcript.pyannote[154].end 644.62221875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 634.07534375
transcript.pyannote[155].end 634.68284375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 644.84159375
transcript.pyannote[156].end 648.41909375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 649.27971875
transcript.pyannote[157].end 659.47221875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 660.94034375
transcript.pyannote[158].end 663.04971875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 665.02409375
transcript.pyannote[159].end 666.13784375
transcript.whisperx[0].start 7.702
transcript.whisperx[0].end 31.747
transcript.whisperx[0].text 你好 麻煩請代理主委主委請代理主委好前幾天我看到NCC非常積極的發了一個澄清稿說有外界在質疑說NCC什麼26連敗這是不實消息 所以你們就澄清了那你知不知道人家講的26連敗是指什麼
transcript.whisperx[1].start 33.886
transcript.whisperx[1].end 48.503
transcript.whisperx[1].text 就是把這個還沒重判前的各級省的一些曾經比方說一省二省之類的一省二省三省嘛那請問一下你平常我們講勝訴敗訴是說一省勝二省勝還是只看中省平常一省會不會說勝訴會不會
transcript.whisperx[2].start 50.923
transcript.whisperx[2].end 69.653
transcript.whisperx[2].text 法院會不會宣判說一審誰勝訴或一審誰敗訴就是看語境會不會嘛看講話的語境會不會嘛如果脈絡是針對一審當然會是嘛所以當然一審二審你連續二十幾場敗也是一件很奇怪的事啊你知道為什麼大家要提醒這件事兩個原因啊第一個原因是對NCC的失望
transcript.whisperx[3].start 70.714
transcript.whisperx[3].end 93.131
transcript.whisperx[3].text 就是說當時NCC為什麼會成立是因為大家認為說新聞局放在行政院下面可能會干預到媒體嘛所以才獨立機關結果NCC居然可以成為殘害新聞自由的打手居然一審二審可以一直輸一直輸一直輸可以輸成這個樣子第二個喔 我要跟你講喔大部分的行政機關
transcript.whisperx[4].start 94.659
transcript.whisperx[4].end 115.161
transcript.whisperx[4].text 如果有人有被裁罰的人提起訴願其實被裁罰的人要贏的機會是很低的不要說一審二審都很低終審更是很低結果你一個NC的機關可以輸成這個樣子然後你們還大言不慚的講說沒有啦我們沒有那麼差啦我們只輸七次我們只輸七次
transcript.whisperx[5].start 116.437
transcript.whisperx[5].end 128.043
transcript.whisperx[5].text 你們來看一下你們說我們對中天裁罰26件我們只有敗了7件26件敗7件也是很難得的事情你要不要去跟其他機關比一下
transcript.whisperx[6].start 129.182
transcript.whisperx[6].end 149.011
transcript.whisperx[6].text 大部分公務人員都是依法行政如果你依法行政你很客觀的話你會被法院打臉成這個樣子嗎各位報告行政院相關有統計我們在各個部會裡頭行政訴訟的一些敗訴筆其實越少越好部分我們NC算是前段班
transcript.whisperx[7].start 149.951
transcript.whisperx[7].end 167.424
transcript.whisperx[7].text 所以你針對中天耶我們說針對中天耶我們把中天都分成六個中天這個個案嘛我們現在講中天嘛中天你裁罰26件你已經被打臉7件 終審7件哦26分之7這麼高的比例你說你是 你很棒
transcript.whisperx[8].start 168.584
transcript.whisperx[8].end 193.715
transcript.whisperx[8].text 你很棒 所有的行政處分不是 誰跟你講行政處分我們在講說你有沒有侵害到新聞自由特別中天這一案嘛你把那些什麼電信的算進來你把那個都算進來 沒有人跟你講這個針對中天 26件裡面有7件已經確定你覺得很低你覺得很低 我覺得我們可以檢討你覺得很低 所以主委你不要再凹了啦我覺得國人只有公平啦 26件裡面現在已經有7件
transcript.whisperx[9].start 195.441
transcript.whisperx[9].end 217.031
transcript.whisperx[9].text 主委你說很低我說我們可以檢討可以檢討所以你也認為可以檢討嘛那一天我們在審理NCC那個人事案的時候被提名的那個主委他也覺得可以檢討啊我不知道為什麼你要幫前NCC護航啦然後你們我現在就針對你提出來的這個數據你現在講說新國大使盯場報導不實還有丟棄200萬噸文旦假新聞案這次才處無誤是不是無誤是不是
transcript.whisperx[10].start 224.834
transcript.whisperx[10].end 242.81
transcript.whisperx[10].text 就是無誤的意思是什麼無誤的意思是說中天有提訴訟然後最後法院已經終審確定NCC無誤了是不是就是17件裡頭中天有6件沒有提訴訟有11件NCC是跟中天打官司最好是終局判是勝訴的
transcript.whisperx[11].start 243.57
transcript.whisperx[11].end 266.242
transcript.whisperx[11].text 所以這兩件是指NCC勝訴是不是不是 先不要換那 剛剛那這兩個紫色圈起來這兩個是NCC勝訴是不是沒有 兩件是徵送當中徵送當中你可以說無誤沒有 無誤是指26等於2加17再加7所以現在我紫色列出來的這兩個還在徵送當中嘛對徵送當中是有可能中天會贏嘛
transcript.whisperx[12].start 268.481
transcript.whisperx[12].end 283.435
transcript.whisperx[12].text 有可能 那你寫無誤無誤是指紅色的部分不是啦 你這邊直接四個 包括你說NC勝訴及對中間處分確定有17件這17件確定是不會再改了嘛你現在要告訴大家是這個嘛
transcript.whisperx[13].start 283.875
transcript.whisperx[13].end 293.719
transcript.whisperx[13].text 有17件不會再改了嘛然後左邊舉例嘛包括節目刻意廣告水神然後下面有兩個一個是新國大使頂場報導不實還有一個丟棄200萬噸什麼文旦假新聞嘛17件無誤裡面包括這兩件嘛
transcript.whisperx[14].start 300.242
transcript.whisperx[14].end 325.695
transcript.whisperx[14].text 結果我現在問你這兩件是不是你跟我講說沒有還在真送中我講兩件是真送中委員講是說這個圖的右邊這個兩件這樣子那至於左邊這兩個個案是不是真送中還是已經確定當中請問處長來說明一下這是真送中還是已經確定了已經確定了已經確定已經確定那跟我掌握到資料不一樣喔
transcript.whisperx[15].start 328.808
transcript.whisperx[15].end 346.873
transcript.whisperx[15].text 紫色框起來這兩個目前齁還在訴訟中還在訴訟中你跟我講無誤委員不好意思我說的訴訟中是包括KTV甩巴掌跟風台倒數六件並不含這兩件訴訟中那這兩件是已經無誤了這兩件已經是判決確定這兩件已經判決確定你確定你確定
transcript.whisperx[16].start 351.482
transcript.whisperx[16].end 373.419
transcript.whisperx[16].text 我還會去再查啦你還會去再查那如果說你在這邊說謊怎麼辦沒有我沒有說謊你這個圖表你做的嘛你現在就告訴人家說這兩件是無誤嘛所以就不可能真送中啊然後我現在再問你請問一下另外還有三件蘇貞昌開罵什麼網軍你十萬這兩件是真送中還是無誤了這兩件是真送中還是無誤
transcript.whisperx[17].start 379.057
transcript.whisperx[17].end 393.009
transcript.whisperx[17].text 我們回家就確認 應該跟委員報告17件裡頭有6件中間沒有提訴訟我知道我知道他沒有提訴訟我現在在確定說還有幾件真送中嘛就兩件你現在是17件確定17件確定 然後7件是
transcript.whisperx[18].start 394.97
transcript.whisperx[18].end 418.63
transcript.whisperx[18].text NCC敗訴 七件NCC敗訴 兩件徵送中嘛請你把資料 匯後 今天提供給我到底是哪幾件 你們是已經判定 已經確定然後哪兩件是徵送中 還有哪幾件是NCC敗訴的總共加起來26件 對 徵送中確定是KTV甩巴掌 豐台倒數 這兩案我們再來看下一頁 這個是
transcript.whisperx[19].start 419.741
transcript.whisperx[19].end 438.067
transcript.whisperx[19].text 可能是網友抓你們的圖啦所以現在網路上就一堆講說中天敗訴16件 請問一下中天有敗訴16件嗎有打官司的部分是敗訴11件11件 那所以中天敗訴16件是一個假消息是吧應該是說確定沒有徵訟拿來的敗訴嘛
transcript.whisperx[20].start 440.601
transcript.whisperx[20].end 460.15
transcript.whisperx[20].text 對喔 對吧所以戴主委你剛剛講說沒有敗訴16件嘛因為他 你剛剛講說他有6件沒有提訴訟嘛所以敗訴16件是個假消息這個在網路上也傳的很多啊我就沒有看到你出來澄清啊沒有 之前在這邊有...沒關係 中天敗訴16件是假消息 對吧
transcript.whisperx[21].start 464.617
transcript.whisperx[21].end 481.251
transcript.whisperx[21].text 敗訴11件是正確消息17件處分確定這也是事實因為他沒有提送我現在問你中天有沒有敗訴16件沒有嘛這應該不是NCC假消息嘛假消息嘛 但他因為他用了NCC的圖表嘛所以大家會認為說這是NCC發出來的圖啊
transcript.whisperx[22].start 483.62
transcript.whisperx[22].end 511.775
transcript.whisperx[22].text 我們圖表的用詞是說財主確定確定包括他沒有提送這個我知道 我現在跟你確定這個圖表你看他這個圖表上面是用NCC的東西嘛右邊自己下一個說敗訴16件嘛大家會認為說這個因為他上面也沒有署名嘛所以大家就認為說這NCC發出來的圖啊我知道不是你們發的啊我現在跟你確定啊所以中天沒有敗訴16件嘛所以你在這邊呼籲一下請這個網友不要造謠呼籲一下請網友不要造謠
transcript.whisperx[23].start 512.395
transcript.whisperx[23].end 540.578
transcript.whisperx[23].text 就是文字解讀要謹慎我們是NCC勝訴加處分確定總共好 最後跟你問你剛剛到底那個勝訴敗訴那個具體案件你再提供給我會後來提供給我我再跟代理主委詢問一下因為上一次我們在審查人事的時候有確定四個委員好 四個委員最慢大概是五月初的時候全部被徵詢完畢了都已經答應要當NCC委員了最慢的那五月初
transcript.whisperx[24].start 542.13
transcript.whisperx[24].end 557.453
transcript.whisperx[24].text 你們什麼時候送過來 七月底嗎包委員就之前在行政院不在NCC對啊 他送過來是五月 六月 七月嘛大概過了快三個月才送來啦其實你應該要出來講幾句話 為什麼因為行政院這個動作會讓大家覺得NCC不重要
transcript.whisperx[25].start 558.683
transcript.whisperx[25].end 573.431
transcript.whisperx[25].text 如果NCC那麼重要的話本來按照規定去年就應該送過來拖拖拖拖到好不容易已經徵選完了五月初就已經徵選完畢再拖三個月才送過來好像NCC這個單位可有可無主委你覺得NCC這個單位到底重不重要
transcript.whisperx[26].start 575.052
transcript.whisperx[26].end 599.207
transcript.whisperx[26].text 很重要那為什麼卓榮泰認為不重要這個我沒辦法替行政院回答你幫自己捍衛一下你覺得說照道理來講行政院應該在五月徵詢完馬上就要人事趕快送來啊好像這三個月可有可無讓大家覺得NCC是沒有存在感的單位我們先前有在程序上包括在這邊大院交通委員會這邊其實也有委員在提這個事情我們有循程序跟行政院方面反映
transcript.whisperx[27].start 599.844
transcript.whisperx[27].end 624.856
transcript.whisperx[27].text 你去跟協議院反映 他也不理你啊所以他5月初就徵詢完 7月底才送來啊大家覺得你們都不急啊我記得在這段時間很多委員還一直在利用質詢的時候去問行政院說名單什麼時候送來 名單什麼時候送來 行政院不急啊實際上5月初的時候 人都已經確定了啊7月底送來的人也沒變啊然後結果拖了這麼久
transcript.whisperx[28].start 626.277
transcript.whisperx[28].end 648.186
transcript.whisperx[28].text 好像感覺說NCC委員會有成立沒成立所以到底有成立沒成立差別在哪裡啊有 差很大差在哪裡啊法規命令沒辦法訂重大的換照案到年底有102件沒辦法處理然後這個頻道上下架有力電視也沒辦法處理還有一些很多的中小公立電台他董經事變更也沒辦法處理這麼嚴重喔是這麼嚴重 總統他也都當沒看到喔
transcript.whisperx[29].start 649.329
transcript.whisperx[29].end 662.885
transcript.whisperx[29].text 哇賽 哇 可能是因為那時候要等七月底大罷免才送過來原來政治鬥爭比你剛講這麼多這麼嚴重的事情他都覺得不重要欸政治鬥爭擺第一欸實在太離譜了 好 謝謝謝謝委員好 謝謝右邊這位委員