iVOD / 168733

Field Value
IVOD_ID 168733
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168733
日期 2026-04-22
會議資料.會議代碼 委員會-11-5-23-9
會議資料.會議代碼:str 第11屆第5會期交通委員會第9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 9
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9次全體委員會議
影片種類 Clip
開始時間 2026-04-22T11:18:14+08:00
結束時間 2026-04-22T11:31:33+08:00
影片長度 00:13:19
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5b5880b40c5769f1a42726e852efaef810d96ca025fdcb7c4f2050ed7b2b649b6b9ecd0214d1f5425ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳雪生
委員發言時間 11:18:14 - 11:31:33
會議時間 2026-04-22T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第9次全體委員會議(事由:一、審查(一)委員葛如鈞等20人及(二)委員黃健豪等18人分別擬具「電信管理法第三十六條條文修正草案」案。二、審查(一)委員陳雪生等23人及(二)委員傅崐萁等25人分別擬具「有線廣播電視法第十條條文修正草案」案、(三)委員翁曉玲等16人擬具「有線廣播電視法第十條及第五十八條條文修正草案」案、(四)委員翁曉玲等16人擬具「有線廣播電視法第五十八條條文修正草案」案及(五)委員黃健豪等18人擬具「有線廣播電視法第十條及第五十八條條文修正草案」案。三、審查(一)委員翁曉玲等16人擬具「廣播電視法第五條之一及第四十四條之二條文修正草案」案及(二)委員翁曉玲等16人擬具「廣播電視法第四十四條之二條文修正草案」案。四、處理114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預算凍結案計13案。【開會事由一至三僅進行詢答;開會事由二第(五)案,如未經各黨團簽署不復議同意書,則不予審查】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.29596875
transcript.pyannote[0].end 10.32471875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 16.93971875
transcript.pyannote[1].end 17.61471875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 17.61471875
transcript.pyannote[2].end 18.03659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 19.57221875
transcript.pyannote[3].end 21.12471875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 21.63096875
transcript.pyannote[4].end 23.45346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 25.32659375
transcript.pyannote[5].end 29.49471875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 29.71409375
transcript.pyannote[6].end 30.06846875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 30.06846875
transcript.pyannote[7].end 32.26221875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 32.44784375
transcript.pyannote[8].end 34.45596875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 34.72596875
transcript.pyannote[9].end 35.73846875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 37.00409375
transcript.pyannote[10].end 38.42159375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 39.68721875
transcript.pyannote[11].end 42.26909375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 42.94409375
transcript.pyannote[12].end 44.86784375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 46.26846875
transcript.pyannote[13].end 46.65659375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 46.60596875
transcript.pyannote[14].end 47.77034375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 48.34409375
transcript.pyannote[15].end 49.27221875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 49.60971875
transcript.pyannote[16].end 57.76034375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 57.96284375
transcript.pyannote[17].end 58.03034375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 58.04721875
transcript.pyannote[18].end 62.92409375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 62.92409375
transcript.pyannote[19].end 62.94096875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 62.94096875
transcript.pyannote[20].end 62.99159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 64.12221875
transcript.pyannote[21].end 66.41721875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 67.75034375
transcript.pyannote[22].end 68.22284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 68.37471875
transcript.pyannote[23].end 70.33221875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 71.00721875
transcript.pyannote[24].end 72.20534375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 72.50909375
transcript.pyannote[25].end 73.77471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 73.30221875
transcript.pyannote[26].end 75.86721875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 75.91784375
transcript.pyannote[27].end 81.77346875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 82.22909375
transcript.pyannote[28].end 84.57471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 83.84909375
transcript.pyannote[29].end 85.50284375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 86.44784375
transcript.pyannote[30].end 98.12534375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 98.31096875
transcript.pyannote[31].end 101.68596875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 99.77909375
transcript.pyannote[32].end 100.23471875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 101.68596875
transcript.pyannote[33].end 101.93909375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 101.71971875
transcript.pyannote[34].end 101.88846875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 101.90534375
transcript.pyannote[35].end 106.63034375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 102.04034375
transcript.pyannote[36].end 102.39471875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 102.96846875
transcript.pyannote[37].end 104.20034375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 106.15784375
transcript.pyannote[38].end 106.37721875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 106.49534375
transcript.pyannote[39].end 115.62471875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 116.56971875
transcript.pyannote[40].end 116.78909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 117.39659375
transcript.pyannote[41].end 118.29096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 119.11784375
transcript.pyannote[42].end 120.53534375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 121.26096875
transcript.pyannote[43].end 122.17221875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 122.76284375
transcript.pyannote[44].end 124.55159375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 124.75409375
transcript.pyannote[45].end 125.46284375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 125.86784375
transcript.pyannote[46].end 126.54284375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 126.64409375
transcript.pyannote[47].end 128.28096875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 128.61846875
transcript.pyannote[48].end 130.89659375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 130.89659375
transcript.pyannote[49].end 131.63909375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 132.53346875
transcript.pyannote[50].end 134.01846875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 135.16596875
transcript.pyannote[51].end 135.46971875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 137.12346875
transcript.pyannote[52].end 138.00096875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 141.44346875
transcript.pyannote[53].end 142.54034375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 143.28284375
transcript.pyannote[54].end 144.85221875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 146.03346875
transcript.pyannote[55].end 149.94846875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 151.36596875
transcript.pyannote[56].end 154.16721875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 155.53409375
transcript.pyannote[57].end 155.85471875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 156.91784375
transcript.pyannote[58].end 157.76159375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 158.33534375
transcript.pyannote[59].end 158.82471875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 160.00596875
transcript.pyannote[60].end 162.65534375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 161.74409375
transcript.pyannote[61].end 164.03909375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 164.03909375
transcript.pyannote[62].end 166.62096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 166.13159375
transcript.pyannote[63].end 166.14846875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 166.18221875
transcript.pyannote[64].end 166.24971875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 166.62096875
transcript.pyannote[65].end 167.97096875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 167.97096875
transcript.pyannote[66].end 168.02159375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 168.02159375
transcript.pyannote[67].end 168.08909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 168.08909375
transcript.pyannote[68].end 170.02971875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 168.29159375
transcript.pyannote[69].end 168.40971875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 170.78909375
transcript.pyannote[70].end 172.24034375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 172.89846875
transcript.pyannote[71].end 174.41721875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 173.94471875
transcript.pyannote[72].end 177.13409375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 177.94409375
transcript.pyannote[73].end 182.39909375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 181.47096875
transcript.pyannote[74].end 183.02346875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 184.55909375
transcript.pyannote[75].end 187.22534375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 190.54971875
transcript.pyannote[76].end 195.78096875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 193.87409375
transcript.pyannote[77].end 196.69221875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 196.82721875
transcript.pyannote[78].end 198.81846875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 200.23596875
transcript.pyannote[79].end 201.24846875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 202.24409375
transcript.pyannote[80].end 203.07096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 204.33659375
transcript.pyannote[81].end 204.84284375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 206.51346875
transcript.pyannote[82].end 208.63971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 208.89284375
transcript.pyannote[83].end 209.66909375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 213.83721875
transcript.pyannote[84].end 216.08159375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 217.43159375
transcript.pyannote[85].end 218.25846875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 218.73096875
transcript.pyannote[86].end 219.50721875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 220.21596875
transcript.pyannote[87].end 221.14409375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 222.08909375
transcript.pyannote[88].end 223.48971875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 223.94534375
transcript.pyannote[89].end 224.28284375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 224.45159375
transcript.pyannote[90].end 227.05034375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 226.96596875
transcript.pyannote[91].end 227.84346875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 228.38346875
transcript.pyannote[92].end 230.77971875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 231.25221875
transcript.pyannote[93].end 232.68659375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 233.24346875
transcript.pyannote[94].end 236.31471875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 236.85471875
transcript.pyannote[95].end 239.45346875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 240.66846875
transcript.pyannote[96].end 243.45284375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 244.21221875
transcript.pyannote[97].end 245.03909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 247.18221875
transcript.pyannote[98].end 249.02159375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 251.24909375
transcript.pyannote[99].end 255.29909375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 255.87284375
transcript.pyannote[100].end 257.00346875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 257.05409375
transcript.pyannote[101].end 257.88096875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 257.59409375
transcript.pyannote[102].end 262.85909375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 263.61846875
transcript.pyannote[103].end 265.44096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 265.86284375
transcript.pyannote[104].end 268.19159375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 268.76534375
transcript.pyannote[105].end 269.99721875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 270.72284375
transcript.pyannote[106].end 272.42721875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 272.86596875
transcript.pyannote[107].end 273.47346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 274.30034375
transcript.pyannote[108].end 276.07221875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 276.66284375
transcript.pyannote[109].end 278.75534375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 279.59909375
transcript.pyannote[110].end 281.55659375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 282.82221875
transcript.pyannote[111].end 284.02034375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 284.57721875
transcript.pyannote[112].end 285.53909375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 285.67409375
transcript.pyannote[113].end 286.68659375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 288.15471875
transcript.pyannote[114].end 288.96471875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 288.96471875
transcript.pyannote[115].end 290.77034375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 291.88409375
transcript.pyannote[116].end 293.26784375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 293.68971875
transcript.pyannote[117].end 294.29721875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 295.36034375
transcript.pyannote[118].end 300.00096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 299.93346875
transcript.pyannote[119].end 300.70971875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 300.70971875
transcript.pyannote[120].end 300.92909375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 300.92909375
transcript.pyannote[121].end 300.94596875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 301.35096875
transcript.pyannote[122].end 303.79784375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 304.79346875
transcript.pyannote[123].end 307.37534375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 308.06721875
transcript.pyannote[124].end 309.56909375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 310.34534375
transcript.pyannote[125].end 311.18909375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 311.30721875
transcript.pyannote[126].end 313.77096875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 313.77096875
transcript.pyannote[127].end 316.55534375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 317.14596875
transcript.pyannote[128].end 318.54659375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 318.79971875
transcript.pyannote[129].end 319.39034375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 319.39034375
transcript.pyannote[130].end 321.46596875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 322.34346875
transcript.pyannote[131].end 324.14909375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 324.82409375
transcript.pyannote[132].end 330.57846875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 330.56159375
transcript.pyannote[133].end 333.81846875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 331.92846875
transcript.pyannote[134].end 332.94096875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 334.37534375
transcript.pyannote[135].end 336.40034375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 338.27346875
transcript.pyannote[136].end 339.45471875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 339.94409375
transcript.pyannote[137].end 341.47971875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 341.58096875
transcript.pyannote[138].end 342.20534375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 343.03221875
transcript.pyannote[139].end 344.07846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 344.07846875
transcript.pyannote[140].end 344.50034375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 344.83784375
transcript.pyannote[141].end 344.85471875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 344.85471875
transcript.pyannote[142].end 345.12471875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 345.12471875
transcript.pyannote[143].end 345.54659375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 346.00221875
transcript.pyannote[144].end 346.20471875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 346.84596875
transcript.pyannote[145].end 348.01034375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 348.61784375
transcript.pyannote[146].end 348.93846875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 348.95534375
transcript.pyannote[147].end 349.02284375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 349.12409375
transcript.pyannote[148].end 352.51596875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 354.15284375
transcript.pyannote[149].end 354.91221875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 356.51534375
transcript.pyannote[150].end 357.29159375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 358.33784375
transcript.pyannote[151].end 360.81846875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 361.18971875
transcript.pyannote[152].end 362.11784375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 362.60721875
transcript.pyannote[153].end 364.54784375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 365.03721875
transcript.pyannote[154].end 365.91471875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 366.16784375
transcript.pyannote[155].end 366.48846875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 366.92721875
transcript.pyannote[156].end 368.19284375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 367.09596875
transcript.pyannote[157].end 369.13784375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 369.77909375
transcript.pyannote[158].end 369.79596875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 369.79596875
transcript.pyannote[159].end 371.19659375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 369.82971875
transcript.pyannote[160].end 370.25159375
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 372.37784375
transcript.pyannote[161].end 382.70534375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 382.03034375
transcript.pyannote[162].end 387.34596875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 386.45159375
transcript.pyannote[163].end 389.05034375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 389.35409375
transcript.pyannote[164].end 390.21471875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 389.60721875
transcript.pyannote[165].end 390.65346875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 391.90221875
transcript.pyannote[166].end 399.56346875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 399.56346875
transcript.pyannote[167].end 404.64284375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 404.76096875
transcript.pyannote[168].end 405.45284375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 406.93784375
transcript.pyannote[169].end 408.42284375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 408.99659375
transcript.pyannote[170].end 411.15659375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 411.71346875
transcript.pyannote[171].end 413.02971875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 413.58659375
transcript.pyannote[172].end 415.10534375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 415.47659375
transcript.pyannote[173].end 417.87284375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 418.31159375
transcript.pyannote[174].end 419.76284375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 420.40409375
transcript.pyannote[175].end 421.18034375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 422.86784375
transcript.pyannote[176].end 423.20534375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 424.08284375
transcript.pyannote[177].end 424.62284375
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 424.89284375
transcript.pyannote[178].end 425.77034375
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 426.34409375
transcript.pyannote[179].end 444.70409375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 443.86034375
transcript.pyannote[180].end 444.78846875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 445.24409375
transcript.pyannote[181].end 447.23534375
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 445.37909375
transcript.pyannote[182].end 445.75034375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 447.60659375
transcript.pyannote[183].end 449.61471875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 449.81721875
transcript.pyannote[184].end 450.67784375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 450.74534375
transcript.pyannote[185].end 450.93096875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 451.23471875
transcript.pyannote[186].end 455.30159375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 455.30159375
transcript.pyannote[187].end 455.80784375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 456.39846875
transcript.pyannote[188].end 456.41534375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 456.41534375
transcript.pyannote[189].end 456.95534375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 456.43221875
transcript.pyannote[190].end 457.05659375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 457.86659375
transcript.pyannote[191].end 458.77784375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 458.77784375
transcript.pyannote[192].end 459.03096875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 459.08159375
transcript.pyannote[193].end 459.60471875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 459.65534375
transcript.pyannote[194].end 465.37596875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 466.77659375
transcript.pyannote[195].end 468.76784375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 467.48534375
transcript.pyannote[196].end 467.56971875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 469.20659375
transcript.pyannote[197].end 474.64034375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 471.61971875
transcript.pyannote[198].end 472.90221875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 474.64034375
transcript.pyannote[199].end 476.10846875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 475.21409375
transcript.pyannote[200].end 483.66846875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 484.05659375
transcript.pyannote[201].end 486.11534375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 486.40221875
transcript.pyannote[202].end 487.61721875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 488.37659375
transcript.pyannote[203].end 491.41409375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 492.30846875
transcript.pyannote[204].end 492.44346875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 492.44346875
transcript.pyannote[205].end 494.11409375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 492.46034375
transcript.pyannote[206].end 492.62909375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 494.29971875
transcript.pyannote[207].end 496.22346875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 496.40909375
transcript.pyannote[208].end 504.01971875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 504.01971875
transcript.pyannote[209].end 509.03159375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 504.03659375
transcript.pyannote[210].end 504.12096875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 509.18346875
transcript.pyannote[211].end 513.80721875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 511.15784375
transcript.pyannote[212].end 513.73971875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 514.44846875
transcript.pyannote[213].end 514.93784375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 515.86596875
transcript.pyannote[214].end 518.85284375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 518.97096875
transcript.pyannote[215].end 519.30846875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 520.60784375
transcript.pyannote[216].end 525.45096875
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 525.75471875
transcript.pyannote[217].end 529.65284375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 526.46346875
transcript.pyannote[218].end 526.90221875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 528.30284375
transcript.pyannote[219].end 532.72409375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 532.92659375
transcript.pyannote[220].end 533.93909375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 534.58034375
transcript.pyannote[221].end 534.86721875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 535.76159375
transcript.pyannote[222].end 537.51659375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 538.32659375
transcript.pyannote[223].end 538.66409375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 538.79909375
transcript.pyannote[224].end 539.03534375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 541.07721875
transcript.pyannote[225].end 542.12346875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 542.41034375
transcript.pyannote[226].end 542.69721875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 543.64221875
transcript.pyannote[227].end 544.04721875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 544.75596875
transcript.pyannote[228].end 546.25784375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 547.33784375
transcript.pyannote[229].end 550.54409375
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 550.79721875
transcript.pyannote[230].end 551.03346875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 551.86034375
transcript.pyannote[231].end 553.64909375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 553.86846875
transcript.pyannote[232].end 554.81346875
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 555.11721875
transcript.pyannote[233].end 555.45471875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 557.96909375
transcript.pyannote[234].end 568.17846875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 568.51596875
transcript.pyannote[235].end 570.74346875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 571.36784375
transcript.pyannote[236].end 572.36346875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 572.68409375
transcript.pyannote[237].end 573.88221875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 574.16909375
transcript.pyannote[238].end 578.26971875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 578.96159375
transcript.pyannote[239].end 588.78284375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 589.42409375
transcript.pyannote[240].end 591.38159375
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 591.85409375
transcript.pyannote[241].end 592.19159375
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 592.59659375
transcript.pyannote[242].end 594.28409375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 594.63846875
transcript.pyannote[243].end 596.56221875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 597.22034375
transcript.pyannote[244].end 598.53659375
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 598.77284375
transcript.pyannote[245].end 600.64596875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 601.13534375
transcript.pyannote[246].end 609.47159375
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 610.07909375
transcript.pyannote[247].end 615.93471875
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 616.03596875
transcript.pyannote[248].end 616.42409375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 617.38596875
transcript.pyannote[249].end 618.90471875
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 619.37721875
transcript.pyannote[250].end 619.69784375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 620.89596875
transcript.pyannote[251].end 621.60471875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 622.06034375
transcript.pyannote[252].end 624.38909375
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 624.67596875
transcript.pyannote[253].end 626.75159375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 626.75159375
transcript.pyannote[254].end 628.15221875
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 628.15221875
transcript.pyannote[255].end 628.35471875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 628.35471875
transcript.pyannote[256].end 629.02971875
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 629.02971875
transcript.pyannote[257].end 632.75909375
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 632.92784375
transcript.pyannote[258].end 666.34034375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 665.85096875
transcript.pyannote[259].end 667.45409375
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 667.53846875
transcript.pyannote[260].end 670.87971875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 669.95159375
transcript.pyannote[261].end 670.32284375
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 671.58846875
transcript.pyannote[262].end 675.36846875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 675.08159375
transcript.pyannote[263].end 676.93784375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 676.54971875
transcript.pyannote[264].end 676.80284375
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 676.93784375
transcript.pyannote[265].end 676.95471875
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 676.95471875
transcript.pyannote[266].end 676.98846875
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 676.98846875
transcript.pyannote[267].end 705.59159375
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 706.09784375
transcript.pyannote[268].end 711.14346875
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 712.18971875
transcript.pyannote[269].end 714.24846875
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 714.99096875
transcript.pyannote[270].end 721.28534375
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 721.70721875
transcript.pyannote[271].end 726.07784375
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 726.70221875
transcript.pyannote[272].end 727.84971875
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 728.44034375
transcript.pyannote[273].end 731.03909375
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 731.47784375
transcript.pyannote[274].end 733.48596875
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 733.97534375
transcript.pyannote[275].end 735.54471875
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 737.31659375
transcript.pyannote[276].end 738.90284375
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 739.47659375
transcript.pyannote[277].end 740.45534375
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 741.55221875
transcript.pyannote[278].end 743.61096875
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 744.43784375
transcript.pyannote[279].end 744.75846875
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 745.02846875
transcript.pyannote[280].end 746.42909375
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 747.55971875
transcript.pyannote[281].end 750.66471875
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 751.23846875
transcript.pyannote[282].end 753.43221875
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 753.43221875
transcript.pyannote[283].end 774.74534375
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 774.13784375
transcript.pyannote[284].end 776.65221875
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 776.71971875
transcript.pyannote[285].end 776.75346875
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 776.75346875
transcript.pyannote[286].end 777.32721875
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 777.04034375
transcript.pyannote[287].end 781.88346875
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 780.16221875
transcript.pyannote[288].end 781.22534375
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 781.25909375
transcript.pyannote[289].end 784.76909375
transcript.pyannote[290].speaker SPEAKER_00
transcript.pyannote[290].start 783.19971875
transcript.pyannote[290].end 797.96534375
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 790.37159375
transcript.pyannote[291].end 790.72596875
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 792.88596875
transcript.pyannote[292].end 792.90284375
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 793.34159375
transcript.pyannote[293].end 794.45534375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 796.07534375
transcript.pyannote[294].end 797.50971875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 797.96534375
transcript.pyannote[295].end 798.58971875
transcript.pyannote[296].speaker SPEAKER_00
transcript.pyannote[296].start 798.58971875
transcript.pyannote[296].end 799.28159375
transcript.whisperx[0].start 5.285
transcript.whisperx[0].end 6.566
transcript.whisperx[0].text 好,謝謝趙偉,是不是請陳書偉請陳書偉請問一下那個衛星廣播電視法
transcript.whisperx[1].start 25.37
transcript.whisperx[1].end 47.583
transcript.whisperx[1].text 第五條第五十條一百一十五年一月三十日通過了嘛是這個行政院公布了沒有復署了沒有行政院沒有復署沒有復署啊沒有復署那現在有限電視這個咧如果通過了也不復署的話你們準備怎麼處理啊
transcript.whisperx[2].start 48.87
transcript.whisperx[2].end 66.056
transcript.whisperx[2].text 因為不附屬的後續效果的效果部分,我們因為權責不在NC,我們都尊重啦但是我相信如果說個案上發生在未廣法的情況,未必會發生在有廣法跟無廣法這個政治的淩駕專業,你們這破壞了整個法規體系
transcript.whisperx[3].start 71.038
transcript.whisperx[3].end 84.378
transcript.whisperx[3].text 你們沒有辦法嗎?你通過委員會,你們自己有委員會啊對不對?沒有,就是附屬不附屬,權責不在NCCNCC這邊比較沒有辦法來處理你們怎麼應對這樣呢?
transcript.whisperx[4].start 86.499
transcript.whisperx[4].end 114.233
transcript.whisperx[4].text 那如果就今天這個召委排的案子部分我們基本上是支持我們意見是說要跟衛廣法當初三讀通過版本一致的就是我們是支持這方面的方向來處理不是我們審的幹什麼你審的老半天行政院不附屬你審的也是白審的啊浪費那麼多人力在這邊跟委員報告如果是純粹就黨政界這一塊的條例修正我相信應該共識度蠻高的應該不會發生這種情況
transcript.whisperx[5].start 117.474
transcript.whisperx[5].end 133.888
transcript.whisperx[5].text 所以我問你,49台是不是新聞台?目前是請教說綠的還是藍的?還是白的?以NCE的立場,NCE不分藍綠,就是說看看有沒有違規來處理不分藍綠齁來,我來隨便找一個你們的誰?綜合國家處你做什麼回答?49台是藍的還是綠的?
transcript.whisperx[6].start 146.149
transcript.whisperx[6].end 171.945
transcript.whisperx[6].text 他一直罵國民黨罵民進黨,你就看得出來那邊是誰的嘛,你沒看電視嗎?你們NCC如果不看電視的話,你們還NCC喔?是藍的還綠的?還?評論嘛罵,他沒有講過哪一台的好話沒有不認為說他是藍或是綠你過去看一下醫生好不好?你整個神經麻木啦
transcript.whisperx[7].start 174.351
transcript.whisperx[7].end 186.836
transcript.whisperx[7].text 那個國小國中小孩都聽得懂啊 你聽不懂啊公務員保持行政中立 那我們是 經營媒體是事後管制梁處長咧你看49台是哪一台的 是綠的還是藍的報告委員 我家沒有有線電視所以我其實沒有在看請坐平台 平台事業處 詹處長
transcript.whisperx[8].start 200.447
transcript.whisperx[8].end 223.274
transcript.whisperx[8].text 是綠還藍的五十台好了啦五十台好啦民視啦,民視哪一台是藍還是綠的我們其實都尊重每個電視台自己的那個立場好你請坐啦,不為難你們了你也不敢回答是不是,主任委員不敢回答
transcript.whisperx[9].start 224.591
transcript.whisperx[9].end 231.876
transcript.whisperx[9].text 黨政軍退出媒體我來立法院十幾年了國民黨執政的時候民進黨要求黨政軍退出媒體現在黨政軍全力的介入媒體49、50、51、52、53沒有講過國民黨一句好話的
transcript.whisperx[10].start 251.694
transcript.whisperx[10].end 278.497
transcript.whisperx[10].text 趙少康那一台TVBS也沒講過綠的一句好話的這個有什麼關係嘛白是白 黑是黑你不要顛倒跟搞核能一樣不搞核能的時候你搞核電的話台灣會怎麼樣怎麼樣你聽聽看好不好所以前幾年吳宗憲委員在總諮詢的時候他也不要做院長上台
transcript.whisperx[11].start 279.599
transcript.whisperx[11].end 303.21
transcript.whisperx[11].text 他直接講了五分鐘啊 騙啊不要啦 不好吧你們NCC有沒有超然獨立大聲一點講 有沒有超然獨立目前我們都有目前我擔任委員之後相信過往的委員也是依法行政前幾年李昌祖密到我辦公室來
transcript.whisperx[12].start 304.824
transcript.whisperx[12].end 333.618
transcript.whisperx[12].text 英俊挺拔年輕有為現在這個頭髮你看看什麼頭皮膚也孬了歲數也大了你經過藍綠委員的洗禮我真的很同情你謝謝委員我真的也不要給你太多壓力你審議上我也不曉得怎麼辦要把你刪掉又不給你做事對不對給你錢嘛你又在那邊胡搞瞎搞我預算很少是四大部會的零頭不到
transcript.whisperx[13].start 334.437
transcript.whisperx[13].end 347.31
transcript.whisperx[13].text 你怎麼超然獨立法,你講嘛113年投訴案件有多少件,你講投訴案件新聞喔新聞有112年你們罰了有5件,罰了260萬廣告的呢?廣告多少件?
transcript.whisperx[14].start 358.539
transcript.whisperx[14].end 370.83
transcript.whisperx[14].text 廣告罰了一千零二十萬,一百一十二年,一百一十三年不見了,沒有監督了嗎?沒處理了?沒處理了?都處理了,有有都有圖表證裡面有沒有處理?
transcript.whisperx[15].start 372.701
transcript.whisperx[15].end 390.454
transcript.whisperx[15].text 就是有些要上委員會的沒辦法處理其他大概有些是很明確的比方說酒類超時不該的時段來播送酒類廣告那些我們都有處理投訴什麼意思嘛投訴以後到你們那裡就石沉大海四個字我們都有在處理就是照有些是處理多久了
transcript.whisperx[16].start 394.159
transcript.whisperx[16].end 420.78
transcript.whisperx[16].text 多元意見的,比方說他有沒有違反事實查證這些東西要上委員會的你不要跟那個昨天我質詢那個運營銷,那個哪裏啊直升機冒煙啊還在那邊調查,調查要一年誰敢做那個直升機啊直升機冒煙你敢做嗎你上去以後,我放一把煙我看看跑出一點煙味來你敢做嗎
transcript.whisperx[17].start 424.119
transcript.whisperx[17].end 444.452
transcript.whisperx[17].text 欸 多久了跟委員報告 其實我們的程序說一個吊帶 一個請業者打阿福園有涉違反事實的請業者提他委員會然後上我們諮詢會議 然後上委員會議有些配上委員會 剛剛跟委員報告過比方說他酒類時段播出不對的話 我們就直接裁罰了有些要上委員會的事實叫你沒裁罰啊
transcript.whisperx[18].start 445.413
transcript.whisperx[18].end 464.798
transcript.whisperx[18].text 你沒裁發你媒體監管你要公平公正嘛對不對是你沒有啊你根本沒辦啊這哪個單位辦的舉手來請舉手不是沒辦都有都有都有就是委員心目中的A顏色跟B顏色的台其實都有被罰過
transcript.whisperx[19].start 466.82
transcript.whisperx[19].end 476.705
transcript.whisperx[19].text 主委你們做了有事吧,前面講打詐,你打詐又沒做,你又沒監督媒體,還有260萬還有1000萬罰一罰不管多或少,總算也罰了一點,你把中間再把他幹掉中間現在開會也通過了,你們來個不附屬,我覺得我們立法院在幹什麼也不曉得,你們在幹什麼?
transcript.whisperx[20].start 492.692
transcript.whisperx[20].end 518.7
transcript.whisperx[20].text 你們平常在那邊沒有沒有就是剛因為報告過了有些在上委員會之前的程序我們都有同仁都持續在進行該上諮詢會都有在處理主委啊國家的政事啊政務啊我們要正常的運轉你知道嗎不要大家在那邊打混啦你知道嗎你現在一個無政府狀態是不是不要是一個無政府狀態這樣有問題不好啦好不好好
transcript.whisperx[21].start 520.663
transcript.whisperx[21].end 545.693
transcript.whisperx[21].text 你們媒體監督這個很多,你去弄一弄,找個時間找個誰跟我回報一下好,沒有問題既然我一直盯上了嘛,總要總起來啊,看看怎麼回事啊,好不好?是,好好,最後一個問題問你一下那個誰?是林部長嗎?是海嵐海嵐是你這邊還是?
transcript.whisperx[22].start 547.67
transcript.whisperx[22].end 552.7
transcript.whisperx[22].text 兩邊都有,都是疊加的,CI部分是初步我再跟你講,台馬3號還來,障礙
transcript.whisperx[23].start 557.998
transcript.whisperx[23].end 577.623
transcript.whisperx[23].text 大陸一條漁船飄到我們東宇來東宇的船來去求救大陸就來了一個救援船這個救援船我想是應該經過許可才能夠進入我們的港區進來以後一定刮到海嵐海嵐三號然後海嵐三號發出警告訊號
transcript.whisperx[24].start 579.008
transcript.whisperx[24].end 595.997
transcript.whisperx[24].text 警告信號一定通知海巡說有不明船隻來了現在海覽誰去碰他就是國安法三個字不是告訴哪一段是國安法那這樣很奇怪海巡跑去碰這條船
transcript.whisperx[25].start 597.544
transcript.whisperx[25].end 618.214
transcript.whisperx[25].text 這是個救援船,跟紅石智慧一樣你現在把他抓起來了,你不放他回去,你就放到我們這裡問地檢署,地檢署說你們沒告,不告不理問海巡,海巡說我只是你們通知我把船固定在那裡剩下就是你們開會
transcript.whisperx[26].start 620.933
transcript.whisperx[26].end 648.231
transcript.whisperx[26].text 你們開會一個禮拜過去 兩個禮拜過去 三個禮拜過去欸 人家這個救援船很貴的啊是 我完全理解是 那個 呃 委員這裡面是什麼問題呢有法律的問題嗎是 那個 呃 跟委員報告這件事情我們會請就是各個單位我們去協調加快處理我說這個狀況就好像是高速公路上發生一個車禍結果兩兆雙方就把車子停在路中間結果後面的車子都堵住了什麼事情都不用做那就趕快我們該蒐證的就蒐證該那個
transcript.whisperx[27].start 651.133
transcript.whisperx[27].end 670.271
transcript.whisperx[27].text 那個測試的就測試然後趕快就讓大家不管是那個救援船他回去做他的事情然後趕快去進行修復然後後面的法律的這些事情我們再來走這個程序不要讓所有事情卡在那個地方救援船來救他救他要給你碰撞一下救援船要賠錢嗎
transcript.whisperx[28].start 672.499
transcript.whisperx[28].end 699.014
transcript.whisperx[28].text 這個事情喔抱歉那個是不是請任信司司長來來 市長 劉市長謝謝委員長期關注喔那根據我們現在掌握的狀況是航港局預計在4月24號就會開會那開會以後會確認他新的這個施工計畫呢是不是符合規定如果符合規定的方式去施工的話那雙方都不會提告就因為中華電力也不會提告但如果他沒有按照新的施工計畫去施工的話
transcript.whisperx[29].start 699.634
transcript.whisperx[29].end 724.347
transcript.whisperx[29].text 後面可能就韓港局跟中華電力都會追究其行政的處罰跟賠償責任,你上報告這個叫什麼家衰啊,國語家衰有沒有,國語是不是叫家衰我救援團跟我什麼事啊我跑去救他,然後我還去賠償什麼等一下來個幾千萬,不曉得一億兩億的,這什麼意思啊一個救護車我要去救人嘛對不對,兩趟發生車禍我去救
transcript.whisperx[30].start 726.772
transcript.whisperx[30].end 746.236
transcript.whisperx[30].text 我救護車去,發生車禍的事情還想我救護車把人家撞了,或是撞傷致死或是幹什麼的,救護車責任還更大。現在國安法碰到海海的問題又扯到國安法了,到底是不是國安法?
transcript.whisperx[31].start 747.628
transcript.whisperx[31].end 775.275
transcript.whisperx[31].text 真的很困擾欸你們趕快把這個事情釐清好不好因為反正這個救援船真的費用很高啊我知道那個了解委員的意思就是說這個法律的事情當然是交給法院去處理但是我們這個疏發部現在就趕快去溝通想辦法讓這個事情趕快該修復我們現在最重要的是趕快把海馬三號這個海欄把它修復然後那個救援船就是讓它能去繼續去做營業因為那個之前委員有提到三號這個據我了解是蠻輕微的啦
transcript.whisperx[32].start 777.575
transcript.whisperx[32].end 795.783
transcript.whisperx[32].text 滿清委但是這裡面有責任你能夠放人家回去趕快放人家回去我們趕快去聯絡、協調你們動作快一點因為我覺得底下基層的部門他也做不了主你們在上面的長官稍微用點心好不好你講一講一句話給他一個民視的方向謝謝