iVOD / 159124

Field Value
IVOD_ID 159124
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159124
日期 2025-03-13
會議資料.會議代碼 委員會-11-3-35-2
會議資料.會議代碼:str 第11屆第3會期外交及國防委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 2
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第3會期外交及國防委員會第2次全體委員會議
影片種類 Clip
開始時間 2025-03-13T11:05:04+08:00
結束時間 2025-03-13T11:14:56+08:00
影片長度 00:09:52
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770f0d0bda0b582f74156b0a9b5bba3c53abff1cdb1affc83ff474881cda51d8a84a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 11:05:04 - 11:14:56
會議時間 2025-03-13T09:00:00+08:00
會議名稱 立法院第11屆第3會期外交及國防委員會第2次全體委員會議(事由:邀請國防部部長報告「國機國造交機進度及勇鷹高教機失事後檢修情況」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 3.72659375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 5.81909375
transcript.pyannote[1].end 7.10159375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 6.51096875
transcript.pyannote[2].end 6.67971875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 7.79346875
transcript.pyannote[3].end 10.05471875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 13.96971875
transcript.pyannote[4].end 18.17159375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 18.86346875
transcript.pyannote[5].end 20.43284375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 20.65221875
transcript.pyannote[6].end 22.03596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 22.40721875
transcript.pyannote[7].end 23.45346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 24.33096875
transcript.pyannote[8].end 26.18721875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 26.98034375
transcript.pyannote[9].end 30.03471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 30.59159375
transcript.pyannote[10].end 33.81471875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 34.79346875
transcript.pyannote[11].end 38.33721875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 38.89409375
transcript.pyannote[12].end 39.41721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 40.36221875
transcript.pyannote[13].end 41.22284375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 42.48846875
transcript.pyannote[14].end 44.20971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 46.72409375
transcript.pyannote[15].end 49.40721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 50.11596875
transcript.pyannote[16].end 52.86659375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 53.82846875
transcript.pyannote[17].end 54.99284375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 55.61721875
transcript.pyannote[18].end 64.84784375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 66.01221875
transcript.pyannote[19].end 67.68284375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 68.02034375
transcript.pyannote[20].end 69.70784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 69.87659375
transcript.pyannote[21].end 70.95659375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 71.56409375
transcript.pyannote[22].end 73.01534375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 73.74096875
transcript.pyannote[23].end 74.71971875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 75.25971875
transcript.pyannote[24].end 76.94721875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 77.77409375
transcript.pyannote[25].end 84.13596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 84.72659375
transcript.pyannote[26].end 85.58721875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 86.21159375
transcript.pyannote[27].end 94.12596875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 94.29471875
transcript.pyannote[28].end 95.83034375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 96.42096875
transcript.pyannote[29].end 103.50846875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 103.96409375
transcript.pyannote[30].end 104.65596875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 106.44471875
transcript.pyannote[31].end 109.17846875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 110.07284375
transcript.pyannote[32].end 113.51534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 113.85284375
transcript.pyannote[33].end 120.06284375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 120.53534375
transcript.pyannote[34].end 123.47159375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 124.46721875
transcript.pyannote[35].end 125.78346875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 126.13784375
transcript.pyannote[36].end 127.74096875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 128.43284375
transcript.pyannote[37].end 129.19221875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 129.68159375
transcript.pyannote[38].end 132.16221875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 133.02284375
transcript.pyannote[39].end 136.54971875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 136.97159375
transcript.pyannote[40].end 146.80971875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 147.29909375
transcript.pyannote[41].end 148.86846875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 148.98659375
transcript.pyannote[42].end 157.66034375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 157.99784375
transcript.pyannote[43].end 159.93846875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 160.51221875
transcript.pyannote[44].end 161.37284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 161.86221875
transcript.pyannote[45].end 163.75221875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 164.37659375
transcript.pyannote[46].end 167.80221875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 168.34221875
transcript.pyannote[47].end 169.48971875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 170.68784375
transcript.pyannote[48].end 172.86471875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 173.37096875
transcript.pyannote[49].end 173.52284375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 173.52284375
transcript.pyannote[50].end 173.69159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 173.69159375
transcript.pyannote[51].end 174.97409375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 175.21034375
transcript.pyannote[52].end 176.71221875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 178.33221875
transcript.pyannote[53].end 184.69409375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 184.23846875
transcript.pyannote[54].end 187.68096875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 186.04409375
transcript.pyannote[55].end 187.57971875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 187.68096875
transcript.pyannote[56].end 187.69784375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 187.69784375
transcript.pyannote[57].end 187.84971875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 187.84971875
transcript.pyannote[58].end 187.86659375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 187.86659375
transcript.pyannote[59].end 187.88346875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 187.88346875
transcript.pyannote[60].end 187.90034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 187.90034375
transcript.pyannote[61].end 189.92534375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 187.98471875
transcript.pyannote[62].end 188.54159375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 191.39346875
transcript.pyannote[63].end 193.41846875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 193.89096875
transcript.pyannote[64].end 196.15221875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 196.69221875
transcript.pyannote[65].end 198.88596875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 199.02096875
transcript.pyannote[66].end 200.60721875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 201.94034375
transcript.pyannote[67].end 202.98659375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 203.77971875
transcript.pyannote[68].end 206.04096875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 206.85096875
transcript.pyannote[69].end 224.01284375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 226.03784375
transcript.pyannote[70].end 226.69596875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 227.43846875
transcript.pyannote[71].end 231.13409375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 231.50534375
transcript.pyannote[72].end 232.23096875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 233.17596875
transcript.pyannote[73].end 234.82971875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 235.21784375
transcript.pyannote[74].end 235.87596875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 236.98971875
transcript.pyannote[75].end 243.82409375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 244.22909375
transcript.pyannote[76].end 246.06846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 245.15721875
transcript.pyannote[77].end 250.15221875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 248.81909375
transcript.pyannote[78].end 249.12284375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 249.71346875
transcript.pyannote[79].end 251.19846875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 250.70909375
transcript.pyannote[80].end 251.21534375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 251.21534375
transcript.pyannote[81].end 251.23221875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 251.23221875
transcript.pyannote[82].end 251.36721875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 251.36721875
transcript.pyannote[83].end 251.97471875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 251.97471875
transcript.pyannote[84].end 252.05909375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 252.05909375
transcript.pyannote[85].end 252.09284375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 252.09284375
transcript.pyannote[86].end 252.26159375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 252.26159375
transcript.pyannote[87].end 252.54846875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 253.17284375
transcript.pyannote[88].end 257.81346875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 256.90221875
transcript.pyannote[89].end 269.03534375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 269.32221875
transcript.pyannote[90].end 277.06784375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 277.45596875
transcript.pyannote[91].end 278.33346875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 278.70471875
transcript.pyannote[92].end 281.35409375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 281.52284375
transcript.pyannote[93].end 285.15096875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 286.51784375
transcript.pyannote[94].end 287.46284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 288.62721875
transcript.pyannote[95].end 289.48784375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 289.48784375
transcript.pyannote[96].end 289.55534375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 290.01096875
transcript.pyannote[97].end 291.22596875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 292.08659375
transcript.pyannote[98].end 298.22909375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 297.04784375
transcript.pyannote[99].end 297.92534375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 298.14471875
transcript.pyannote[100].end 299.96721875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 299.41034375
transcript.pyannote[101].end 300.67596875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 300.05159375
transcript.pyannote[102].end 304.00034375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 304.92846875
transcript.pyannote[103].end 306.04221875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 307.05471875
transcript.pyannote[104].end 309.06284375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 309.46784375
transcript.pyannote[105].end 310.90221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 311.77971875
transcript.pyannote[106].end 313.77096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 314.15909375
transcript.pyannote[107].end 315.28971875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 316.06596875
transcript.pyannote[108].end 316.99409375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 317.23034375
transcript.pyannote[109].end 319.47471875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 320.55471875
transcript.pyannote[110].end 323.62596875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 324.46971875
transcript.pyannote[111].end 325.09409375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 324.58784375
transcript.pyannote[112].end 330.37596875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 330.37596875
transcript.pyannote[113].end 331.79346875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 330.84846875
transcript.pyannote[114].end 330.88221875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 332.55284375
transcript.pyannote[115].end 334.15596875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 334.64534375
transcript.pyannote[116].end 336.21471875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 341.34471875
transcript.pyannote[117].end 345.10784375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 345.02346875
transcript.pyannote[118].end 347.52096875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 347.62221875
transcript.pyannote[119].end 347.63909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 347.70659375
transcript.pyannote[120].end 356.68409375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 356.75159375
transcript.pyannote[121].end 358.86096875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 359.63721875
transcript.pyannote[122].end 360.88596875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 363.28221875
transcript.pyannote[123].end 365.98221875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 365.94846875
transcript.pyannote[124].end 365.96534375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 365.98221875
transcript.pyannote[125].end 367.06221875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 368.19284375
transcript.pyannote[126].end 376.47846875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 377.15346875
transcript.pyannote[127].end 381.00096875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 381.00096875
transcript.pyannote[128].end 381.33846875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 381.33846875
transcript.pyannote[129].end 384.37596875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 381.38909375
transcript.pyannote[130].end 382.19909375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 384.37596875
transcript.pyannote[131].end 384.47721875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 384.47721875
transcript.pyannote[132].end 397.11659375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 397.65659375
transcript.pyannote[133].end 400.96409375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 400.96409375
transcript.pyannote[134].end 406.90409375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 407.98409375
transcript.pyannote[135].end 408.00096875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 408.00096875
transcript.pyannote[136].end 410.02596875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 410.83596875
transcript.pyannote[137].end 413.19846875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 413.45159375
transcript.pyannote[138].end 418.17659375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 418.83471875
transcript.pyannote[139].end 419.64471875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 420.91034375
transcript.pyannote[140].end 421.45034375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 422.10846875
transcript.pyannote[141].end 425.23034375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 425.48346875
transcript.pyannote[142].end 426.58034375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 426.85034375
transcript.pyannote[143].end 428.03159375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 430.68096875
transcript.pyannote[144].end 434.84909375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 435.54096875
transcript.pyannote[145].end 438.24096875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 438.86534375
transcript.pyannote[146].end 442.12221875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 442.39221875
transcript.pyannote[147].end 443.86034375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 444.29909375
transcript.pyannote[148].end 445.22721875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 445.58159375
transcript.pyannote[149].end 446.94846875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 447.77534375
transcript.pyannote[150].end 457.02284375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 457.51221875
transcript.pyannote[151].end 470.75909375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 471.19784375
transcript.pyannote[152].end 480.32721875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 472.46346875
transcript.pyannote[153].end 472.75034375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 475.23096875
transcript.pyannote[154].end 477.25596875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 480.41159375
transcript.pyannote[155].end 482.45346875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 481.40721875
transcript.pyannote[156].end 481.64346875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 482.45346875
transcript.pyannote[157].end 483.29721875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 483.29721875
transcript.pyannote[158].end 485.15346875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 486.03096875
transcript.pyannote[159].end 486.23346875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 487.95471875
transcript.pyannote[160].end 489.86159375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 488.95034375
transcript.pyannote[161].end 489.52409375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 490.38471875
transcript.pyannote[162].end 493.11846875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 494.18159375
transcript.pyannote[163].end 495.09284375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 494.24909375
transcript.pyannote[164].end 500.54346875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 501.48846875
transcript.pyannote[165].end 502.48409375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 504.71159375
transcript.pyannote[166].end 509.63909375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 511.30971875
transcript.pyannote[167].end 516.23721875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 516.89534375
transcript.pyannote[168].end 523.54409375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 519.59534375
transcript.pyannote[169].end 521.28284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 523.74659375
transcript.pyannote[170].end 529.31534375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 529.78784375
transcript.pyannote[171].end 530.96909375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 532.04909375
transcript.pyannote[172].end 539.79471875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 541.17846875
transcript.pyannote[173].end 543.33846875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 543.87846875
transcript.pyannote[174].end 545.19471875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 545.66721875
transcript.pyannote[175].end 549.93659375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 550.81409375
transcript.pyannote[176].end 553.68284375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 554.44221875
transcript.pyannote[177].end 555.47159375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 556.50096875
transcript.pyannote[178].end 557.51346875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 557.98596875
transcript.pyannote[179].end 561.95159375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 561.81659375
transcript.pyannote[180].end 564.46596875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 562.03596875
transcript.pyannote[181].end 562.60971875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 565.32659375
transcript.pyannote[182].end 567.21659375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 568.60034375
transcript.pyannote[183].end 571.11471875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 572.90346875
transcript.pyannote[184].end 579.02909375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 579.53534375
transcript.pyannote[185].end 580.85159375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 581.69534375
transcript.pyannote[186].end 582.37034375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 583.38284375
transcript.pyannote[187].end 589.27221875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 589.39034375
transcript.pyannote[188].end 589.40721875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 589.40721875
transcript.pyannote[189].end 590.92596875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 590.92596875
transcript.pyannote[190].end 591.19596875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 591.19596875
transcript.pyannote[191].end 591.97221875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 591.28034375
transcript.pyannote[192].end 591.97221875
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 25.666
transcript.whisperx[0].text 那現在按照規定,國防部應該是由誰代表巡檔?是由...中副部長中副部長是不是?對OK,好來請黃委員好副部長好喔台灣民眾黨向來的立場我們絕對支持給我們的國軍弟兄最好的資源我們要給他們最好的設備
transcript.whisperx[1].start 27.045
transcript.whisperx[1].end 52.417
transcript.whisperx[1].text 我們要給他們可以阻止敵人來犯的武器才可以捍衛台灣的國家安全我相信這不僅僅是台灣民眾黨的立場而且是全民的共識但是我對於吸納稅人的血拿國家的錢胡搞瞎搞置國軍弟兄的安危於不顧
transcript.whisperx[2].start 53.874
transcript.whisperx[2].end 76.757
transcript.whisperx[2].text 的不肖廠商跟官商勾結我是深惡痛絕這種人一定要嚴查嚴辦到底副部長贊不贊成贊成所以我從去年開始我就一直在追一堆垃圾廠商從中國進口劣質的原料
transcript.whisperx[3].start 77.99
transcript.whisperx[3].end 103.095
transcript.whisperx[3].text 搞那種抗彈布防彈纖維防彈背心根本沒有辦法維護本國我們所有基層士兵的安全這件事我為什麼一而再再而三的追啊因為這些廠商從我的觀點來講基本上就是垃圾就是遏制的廠商要辦到底啊副部長贊不贊成是贊成嗎贊成贊成嘛但有嗎有嗎
transcript.whisperx[4].start 106.736
transcript.whisperx[4].end 131.479
transcript.whisperx[4].text 我在追查的時候我發現很奇怪這一些從中國進口劣質的原料 致國家安全於不顧致我們基層士兵的安危於不顧的垃圾廠商結果竟然連停權都沒有辦法做所以我就開始追啊 怎麼會有這麼離譜的事情結果有一個媒體叫靖州刊 他說
transcript.whisperx[5].start 133.289
transcript.whisperx[5].end 159.556
transcript.whisperx[5].text 這個是因為依照工程會的調解,所以沒有看採政府採購公報依照工程會的調解,所以沒有辦庭權把責任推給我們政府機關,這個事情大條因為包括辦這個調解的工程會,包括參與調解的國防部竟然依照調解的內容,縱放這種垃圾廠商這天大地大的事情
transcript.whisperx[6].start 160.838
transcript.whisperx[6].end 189.679
transcript.whisperx[6].text 結果呢 結果全部都是假訊息全部都是假訊息以後 來請問一下我們的國防部啊現在做了什麼事情這種假訊息可以不用追究來請副部長對不起我沒有請你代答有關委員剛剛講的就是我們在111年10月的12號我講過的東西不用複述啦現在我的問題很簡單嘛你們國防部回函給我嘛
transcript.whisperx[7].start 191.688
transcript.whisperx[7].end 200.374
transcript.whisperx[7].text 國防部回函給我說什麼說這個陳述非屬事實嘛消息來源不是來本部嘛哇 那事情嚴重喔
transcript.whisperx[8].start 201.991
transcript.whisperx[8].end 223.502
transcript.whisperx[8].text 一個媒體喔公開的散播假訊息啊污蔑國防部啊還捏造是國防部的回應啊這知識體大沒有得到國防部的授權說這是國防部的回應結果散播的還是假訊息啊嚴重的國安問題啊副部長這件事情可以不追究嗎來請教
transcript.whisperx[9].start 227.472
transcript.whisperx[9].end 252.296
transcript.whisperx[9].text 不要迴避問題,要不要追究?該不該追究?有沒有追究?說清楚後續我們會...後續?你們什麼時候發現是假訊息?你們去年10月30號就發現是假訊息啊?到現在做了什麼處理?除了回函給我做了什麼處理?第一個部分是我們已經有發布新聞稿來正式的澄清然後散播假訊息的人法律責任要不要追究?
transcript.whisperx[10].start 253.22
transcript.whisperx[10].end 268.532
transcript.whisperx[10].text 那第二個部分是已經通知廠商來解約,並且列入口號一個一個來啦,不要混淆問題啊剛我的問題清楚明瞭嘛這種散播假訊息的媒體捏造國防部的回應啊,責任要不要追究
transcript.whisperx[11].start 269.488
transcript.whisperx[11].end 290.76
transcript.whisperx[11].text 要還是不要還是從國防部的立場沒關係啦被人家散播假訊息我國防部也是摸摸鼻子就算了因為被因為散播假訊息啊的那個媒體綠營後台很硬我國防部也得罪不起是這樣嗎來請副部長說清楚齁要不要追究責任
transcript.whisperx[12].start 292.148
transcript.whisperx[12].end 319.167
transcript.whisperx[12].text 要不要因為對於假訊息的部分我們大部分都是發布新聞稿來做一個這樣就算了喔哇 那你們國防部對付捏造國防部訊息的軟趴趴這很嚴重耶這是國防部向來的立場嗎這個立場對嗎散播假訊息要不要追究還是看情況如果利盈後台很硬就不追究
transcript.whisperx[13].start 320.612
transcript.whisperx[13].end 335.992
transcript.whisperx[13].text 否則的話才追究這是國防部的立場嗎來 說清楚目前對任何的爭議跟假訊息不會有任何政黨的立場好 所以要不要追究還是不追究 算了是這樣嗎 要不要追究
transcript.whisperx[14].start 341.36
transcript.whisperx[14].end 366.716
transcript.whisperx[14].text 因為對於正義的訊息我們目前是以新聞稿的方式來對嘛 所以我說國防部軟趴趴嘛那你的立場今天很嚴重喔以後任何人代表我們的國防部散播假訊息結果國防部唯一的處置就是發布新聞稿副部長你覺得這個態度對嗎要不要重新檢討後續我們跟法律師做個研究之後啊 需要多久
transcript.whisperx[15].start 368.22
transcript.whisperx[15].end 376.031
transcript.whisperx[15].text 要研究多久去年10月30號現在已經3月了啦軟趴趴昏睡沉睡到現在了啦還要再睡多久
transcript.whisperx[16].start 377.239
transcript.whisperx[16].end 406.508
transcript.whisperx[16].text 需要跟法律師研究多久 這問題很困難嗎我們兩週之內跟委員做個說明兩週之內 不用跟我回覆啊 所有回覆我是跟所有外交國防委員會的委員回覆啊跟台灣社會說明啊我們的國防部啊 在面對啊這種垃圾假訊息的時候啊 的態度是什麼是軟趴趴嗎還是我們散播假訊息的要關三天要不要處理對假訊息我們一定會馬上的來做澄清跟說明來 第二個
transcript.whisperx[17].start 408.035
transcript.whisperx[17].end 434.229
transcript.whisperx[17].text 我上次追聯合再生聯合再生在我們的國防要塞專會嚴重影響有國安疑慮的資通訊產品結果什麼結果我追了半天你們拖了半天終於解約了來問一下東西拆完了沒有東西拆完了沒有終止契約以後終止契約很簡單嘛
transcript.whisperx[18].start 435.598
transcript.whisperx[18].end 444.986
transcript.whisperx[18].text 你佔用我們國防要塞的地的東西全部給我拆得乾乾淨淨土土地還過來現在拆的進度如何?現在都在法院
transcript.whisperx[19].start 447.81
transcript.whisperx[19].end 470.075
transcript.whisperx[19].text 跟委員報告上次去年委員所指導的我們都已經依規定都已經解除他的企業目前拆除的部分該廠商都有在行政訴訟現在都在法院審理中我們一定會依照這個法律相關規定一定要嚴格來執行以上報告你報告錯了啦他不可能提行政訴訟
transcript.whisperx[20].start 471.275
transcript.whisperx[20].end 500.399
transcript.whisperx[20].text 有 現在都是 他提的是行政訴訟嗎這是永陽公司跟那個企業關係的訴訟他們都提出企業關係的訴訟我老實跟你講 那個叫民事訴訟對 民事訴訟四個假處分法院都准了嗎只有准了一個 三個還在訴訟中沒有 只有准一個 其他三個你為什麼不猜只有一個定暫時狀態的處分我知道嘛其他三個都沒有定暫時狀態的處分可以不猜喔
transcript.whisperx[21].start 501.55
transcript.whisperx[21].end 530.66
transcript.whisperx[21].text 可以不用猜喔你們國防部到底是在怎麼保護軍事要塞的啊軟趴趴成這個樣子啊一個拿到定戰時狀態的處分我知道所以我問你其他三個為什麼不用猜現在是在訴訟中公司有提出來在民事訴訟中不要講這種模擬兩可的東西啦他有申請定戰時狀態的處分法院還沒准嘛法院還沒准他該不該猜當然該猜嘛
transcript.whisperx[22].start 532.113
transcript.whisperx[22].end 555.271
transcript.whisperx[22].text 如果法院還沒有准他都可以不用猜那他何必去申請定戰時狀態的處分那個定戰時狀態的處分有什麼意義國防部加油一點好不好硬起來好不好還是因為這個聯合再生有綠營的背景軟趴趴一模一樣國防部看到聯合再生就要跪下去硬起來好不好
transcript.whisperx[23].start 556.547
transcript.whisperx[23].end 581.897
transcript.whisperx[23].text 可以嗎?副部長跟委員報告沒有任何政黨的一個背景的理智反對對啊但是你們做出來哩哩啦啦啦人民看不懂我也看不懂啊我們都要保護台灣的國家安全啊這種廠商做這麼惡質的事情結果國防部軟趴趴成這個樣子回去檢討需要多久?一樣兩個禮拜好不好?可以嗎?
transcript.whisperx[24].start 583.407
transcript.whisperx[24].end 591.529
transcript.whisperx[24].text 我們兩個禮拜之後把辦理的情形跟委員做個說明後續我們還是要依法來辦理當然要依法來辦理嘛好 時間到