iVOD / 161658

Field Value
IVOD_ID 161658
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161658
日期 2025-05-20
會議資料.會議代碼 院會-11-3-12
會議資料.會議代碼:str 第11屆第3會期第12次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 12
會議資料.種類 院會
會議資料.標題 第11屆第3會期第12次會議
影片種類 Clip
開始時間 2025-05-20T17:48:59+08:00
結束時間 2025-05-20T17:58:44+08:00
影片長度 00:09:45
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5c7b0f5e40a1ed7a58bedcd6382cbdabde671ac7ad0dc75731608c687699b02cb4878346b373cfaf5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 17:48:59 - 17:58:44
會議時間 2025-05-20T09:00:00+08:00
會議名稱 第11屆第3會期第12次會議(事由:一、討論事項:本院國民黨黨團,有鑑於近日美國總統川普提名的準國防部次長柯伯吉(Elbridge Colby)就有關防衛台灣問題,表示台灣的國防預算應該接近GDP的10%。國防軍備預算如占GDP10%大約2.6兆元,幾乎是我國中央政府一年的歲出,是否會對我國財政造成重大衝擊並產生排擠效應?對我國整體施政可能造成什麼影響?國防安全能確實獲得保障嗎?種種問題均攸關重大,賴清德政府應清楚向國人交代。國防軍備預算提高為GDP10%茲事體大,國人憂心國防預算提高甚至危及國安,爰此,建請院會作成決議:「儘速邀請行政院院長率同國防部部長及相關部會首長就『國防軍備預算提高為GDP 10%對我國可能造成之影響』乙案進行專案報告,以安民心並釋群疑。」是否有當?請公決案等16案。二、5月16日上午9時至10時為國是論壇時間。三、5月20日下午5時至6時為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 8.40096875
transcript.pyannote[0].end 12.67034375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 13.26096875
transcript.pyannote[1].end 16.88909375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 17.44596875
transcript.pyannote[2].end 26.28846875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 26.91284375
transcript.pyannote[3].end 29.14034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 29.54534375
transcript.pyannote[4].end 31.75596875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 29.86596875
transcript.pyannote[5].end 30.99659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 32.92034375
transcript.pyannote[6].end 35.36721875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 33.88221875
transcript.pyannote[7].end 34.13534375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 36.04221875
transcript.pyannote[8].end 37.27409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 37.79721875
transcript.pyannote[9].end 40.75034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 43.19721875
transcript.pyannote[10].end 43.77096875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 43.77096875
transcript.pyannote[11].end 43.78784375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 43.78784375
transcript.pyannote[12].end 43.80471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 43.80471875
transcript.pyannote[13].end 44.61471875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 44.61471875
transcript.pyannote[14].end 44.64846875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 44.98596875
transcript.pyannote[15].end 45.01971875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 45.01971875
transcript.pyannote[16].end 46.13346875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 46.13346875
transcript.pyannote[17].end 46.15034375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 46.67346875
transcript.pyannote[18].end 48.37784375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 53.79471875
transcript.pyannote[19].end 57.00096875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 59.34659375
transcript.pyannote[20].end 60.08909375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 61.25346875
transcript.pyannote[21].end 62.13096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 69.74159375
transcript.pyannote[22].end 74.11221875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 74.33159375
transcript.pyannote[23].end 74.39909375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 74.39909375
transcript.pyannote[24].end 74.77034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 74.77034375
transcript.pyannote[25].end 74.80409375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 75.12471875
transcript.pyannote[26].end 76.84596875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 75.54659375
transcript.pyannote[27].end 76.40721875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 77.40284375
transcript.pyannote[28].end 80.23784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 80.71034375
transcript.pyannote[29].end 81.94221875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 82.29659375
transcript.pyannote[30].end 82.31346875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 82.31346875
transcript.pyannote[31].end 83.03909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 83.03909375
transcript.pyannote[32].end 83.42721875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 84.97971875
transcript.pyannote[33].end 86.68409375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 87.17346875
transcript.pyannote[34].end 90.78471875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 91.83096875
transcript.pyannote[35].end 93.99096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 94.17659375
transcript.pyannote[36].end 94.78409375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 100.69034375
transcript.pyannote[37].end 103.54221875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 101.82096875
transcript.pyannote[38].end 101.85471875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 101.87159375
transcript.pyannote[39].end 106.03971875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 104.21721875
transcript.pyannote[40].end 105.28034375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 105.75284375
transcript.pyannote[41].end 107.49096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 106.98471875
transcript.pyannote[42].end 107.08596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 108.62159375
transcript.pyannote[43].end 110.46096875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 109.66784375
transcript.pyannote[44].end 109.87034375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 111.57471875
transcript.pyannote[45].end 112.85721875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 115.13534375
transcript.pyannote[46].end 116.65409375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 117.41346875
transcript.pyannote[47].end 118.71284375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 120.65346875
transcript.pyannote[48].end 121.83471875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 126.22221875
transcript.pyannote[49].end 127.62284375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 127.87596875
transcript.pyannote[50].end 129.64784375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 129.83346875
transcript.pyannote[51].end 131.48721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 131.80784375
transcript.pyannote[52].end 132.78659375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 141.15659375
transcript.pyannote[53].end 145.42596875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 146.55659375
transcript.pyannote[54].end 149.30721875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 147.18096875
transcript.pyannote[55].end 147.75471875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 148.80096875
transcript.pyannote[56].end 154.90971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 155.60159375
transcript.pyannote[57].end 156.79971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 155.82096875
transcript.pyannote[58].end 156.83346875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 156.83346875
transcript.pyannote[59].end 156.85034375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 157.74471875
transcript.pyannote[60].end 159.21284375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 161.76096875
transcript.pyannote[61].end 163.76909375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 172.76346875
transcript.pyannote[62].end 173.32034375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 173.50596875
transcript.pyannote[63].end 177.94409375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 182.75346875
transcript.pyannote[64].end 183.91784375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 188.18721875
transcript.pyannote[65].end 190.41471875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 190.88721875
transcript.pyannote[66].end 191.42721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 192.03471875
transcript.pyannote[67].end 192.52409375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 192.86159375
transcript.pyannote[68].end 193.40159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 194.80221875
transcript.pyannote[69].end 195.19034375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 197.09721875
transcript.pyannote[70].end 197.70471875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 198.80159375
transcript.pyannote[71].end 200.37096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 200.70846875
transcript.pyannote[72].end 204.89346875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 204.04971875
transcript.pyannote[73].end 204.53909375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 205.01159375
transcript.pyannote[74].end 205.55159375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 205.78784375
transcript.pyannote[75].end 209.85471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 206.86784375
transcript.pyannote[76].end 207.86346875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 208.69034375
transcript.pyannote[77].end 212.16659375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 214.44471875
transcript.pyannote[78].end 217.90409375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 218.59596875
transcript.pyannote[79].end 219.30471875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 221.75159375
transcript.pyannote[80].end 224.55284375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 225.63284375
transcript.pyannote[81].end 226.47659375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 228.60284375
transcript.pyannote[82].end 231.91034375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 232.90596875
transcript.pyannote[83].end 236.48346875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 237.36096875
transcript.pyannote[84].end 238.05284375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 239.18346875
transcript.pyannote[85].end 241.20846875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 246.84471875
transcript.pyannote[86].end 248.80221875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 249.88221875
transcript.pyannote[87].end 250.77659375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 251.38409375
transcript.pyannote[88].end 253.44284375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 253.79721875
transcript.pyannote[89].end 254.37096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 255.16409375
transcript.pyannote[90].end 256.14284375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 256.95284375
transcript.pyannote[91].end 257.69534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 259.33221875
transcript.pyannote[92].end 261.15471875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 261.39096875
transcript.pyannote[93].end 263.29784375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 263.90534375
transcript.pyannote[94].end 265.01909375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 266.53784375
transcript.pyannote[95].end 266.90909375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 270.13221875
transcript.pyannote[96].end 271.29659375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 273.62534375
transcript.pyannote[97].end 275.78534375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 276.27471875
transcript.pyannote[98].end 279.70034375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 282.50159375
transcript.pyannote[99].end 282.51846875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 282.51846875
transcript.pyannote[100].end 282.82221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 282.82221875
transcript.pyannote[101].end 283.04159375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 285.92721875
transcript.pyannote[102].end 287.02409375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 287.88471875
transcript.pyannote[103].end 295.90034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 296.67659375
transcript.pyannote[104].end 299.61284375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 300.10221875
transcript.pyannote[105].end 302.04284375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 303.71346875
transcript.pyannote[106].end 305.29971875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 305.97471875
transcript.pyannote[107].end 307.61159375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 307.89846875
transcript.pyannote[108].end 308.96159375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 309.97409375
transcript.pyannote[109].end 311.03721875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 311.61096875
transcript.pyannote[110].end 312.26909375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 313.39971875
transcript.pyannote[111].end 314.96909375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 313.95659375
transcript.pyannote[112].end 314.85096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 314.96909375
transcript.pyannote[113].end 321.36471875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 317.23034375
transcript.pyannote[114].end 319.54221875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 320.21721875
transcript.pyannote[115].end 321.93846875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 321.93846875
transcript.pyannote[116].end 324.67221875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 324.67221875
transcript.pyannote[117].end 325.44846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 325.44846875
transcript.pyannote[118].end 325.49909375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 325.49909375
transcript.pyannote[119].end 325.51596875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 325.51596875
transcript.pyannote[120].end 326.95034375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 325.53284375
transcript.pyannote[121].end 325.90409375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 327.15284375
transcript.pyannote[122].end 328.65471875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 330.47721875
transcript.pyannote[123].end 331.64159375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 332.29971875
transcript.pyannote[124].end 334.20659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 334.66221875
transcript.pyannote[125].end 335.75909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 337.76721875
transcript.pyannote[126].end 339.57284375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 340.09596875
transcript.pyannote[127].end 341.66534375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 341.86784375
transcript.pyannote[128].end 343.74096875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 347.94284375
transcript.pyannote[129].end 352.06034375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 350.40659375
transcript.pyannote[130].end 353.24159375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 353.24159375
transcript.pyannote[131].end 356.21159375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 354.55784375
transcript.pyannote[132].end 355.68846875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 356.81909375
transcript.pyannote[133].end 359.48534375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 359.72159375
transcript.pyannote[134].end 360.41346875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 361.34159375
transcript.pyannote[135].end 362.16846875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 362.59034375
transcript.pyannote[136].end 364.88534375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 366.92721875
transcript.pyannote[137].end 367.29846875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 369.98159375
transcript.pyannote[138].end 371.33159375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 371.87159375
transcript.pyannote[139].end 373.35659375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 380.73096875
transcript.pyannote[140].end 382.90784375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 383.46471875
transcript.pyannote[141].end 385.32096875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 387.14346875
transcript.pyannote[142].end 387.58221875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 391.80096875
transcript.pyannote[143].end 397.55534375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 398.24721875
transcript.pyannote[144].end 399.91784375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 400.69409375
transcript.pyannote[145].end 401.43659375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 402.66846875
transcript.pyannote[146].end 403.02284375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 404.13659375
transcript.pyannote[147].end 405.25034375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 404.72721875
transcript.pyannote[148].end 407.32596875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 408.40596875
transcript.pyannote[149].end 409.45221875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 409.45221875
transcript.pyannote[150].end 409.46909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 410.27909375
transcript.pyannote[151].end 412.59096875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 413.97471875
transcript.pyannote[152].end 415.39221875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 414.00846875
transcript.pyannote[153].end 415.13909375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 415.39221875
transcript.pyannote[154].end 415.45971875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 418.14284375
transcript.pyannote[155].end 418.15971875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 418.15971875
transcript.pyannote[156].end 419.02034375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 424.96034375
transcript.pyannote[157].end 426.44534375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 433.61721875
transcript.pyannote[158].end 435.20346875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 436.53659375
transcript.pyannote[159].end 437.34659375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 437.68409375
transcript.pyannote[160].end 438.03846875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 440.58659375
transcript.pyannote[161].end 448.01159375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 448.87221875
transcript.pyannote[162].end 448.97346875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 448.97346875
transcript.pyannote[163].end 452.26409375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 452.75346875
transcript.pyannote[164].end 454.03596875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 455.23409375
transcript.pyannote[165].end 462.06846875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 462.20346875
transcript.pyannote[166].end 465.57846875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 466.01721875
transcript.pyannote[167].end 467.41784375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 468.17721875
transcript.pyannote[168].end 469.78034375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 470.32034375
transcript.pyannote[169].end 471.87284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 472.00784375
transcript.pyannote[170].end 473.52659375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 474.31971875
transcript.pyannote[171].end 476.74971875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 477.44159375
transcript.pyannote[172].end 479.80409375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 480.64784375
transcript.pyannote[173].end 482.09909375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 482.65596875
transcript.pyannote[174].end 485.01846875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 485.44034375
transcript.pyannote[175].end 486.46971875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 486.97596875
transcript.pyannote[176].end 488.73096875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 490.40159375
transcript.pyannote[177].end 493.00034375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 494.13096875
transcript.pyannote[178].end 494.87346875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 495.21096875
transcript.pyannote[179].end 497.13471875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 498.11346875
transcript.pyannote[180].end 500.22284375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 504.13784375
transcript.pyannote[181].end 511.39409375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 511.93409375
transcript.pyannote[182].end 513.13221875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 513.38534375
transcript.pyannote[183].end 515.20784375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 515.59596875
transcript.pyannote[184].end 517.84034375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 518.36346875
transcript.pyannote[185].end 520.59096875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 520.79346875
transcript.pyannote[186].end 522.07596875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 522.43034375
transcript.pyannote[187].end 527.69534375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 527.94846875
transcript.pyannote[188].end 529.60221875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 530.42909375
transcript.pyannote[189].end 531.64409375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 531.96471875
transcript.pyannote[190].end 535.25534375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 535.60971875
transcript.pyannote[191].end 536.63909375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 538.81596875
transcript.pyannote[192].end 540.08159375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 541.90409375
transcript.pyannote[193].end 542.61284375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 542.61284375
transcript.pyannote[194].end 542.62971875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 548.90721875
transcript.pyannote[195].end 550.84784375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 553.02471875
transcript.pyannote[196].end 557.90159375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 559.26846875
transcript.pyannote[197].end 559.97721875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 559.97721875
transcript.pyannote[198].end 561.12471875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 561.90096875
transcript.pyannote[199].end 561.91784375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 561.91784375
transcript.pyannote[200].end 563.45346875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 563.60534375
transcript.pyannote[201].end 566.47409375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 583.23096875
transcript.pyannote[202].end 584.34471875
transcript.whisperx[0].start 8.427
transcript.whisperx[0].end 29.922
transcript.whisperx[0].text 你是否同意河山廠經過主管機關同意而且確認安全無疑慮之後繼續運轉今天提案終於通過了請民進黨的立法委員張開眼睛不要睜眼說瞎話看看提案上面怎麼寫時間暫停拜託我們拜託
transcript.whisperx[1].start 37.932
transcript.whisperx[1].end 47.634
transcript.whisperx[1].text 尊重一下發言委員的權益等一下你們上來瞧嘛民主殿堂等一下我講掉你起來講啦時間暫停 張委員請等一下好 謝謝
transcript.whisperx[2].start 70.213
transcript.whisperx[2].end 94.497
transcript.whisperx[2].text 請民進黨的立法委員不要再睜眼說瞎話看看提案內容從今天5號要不要核三要不要核電民進黨負責全程如果台電如果拜託尊重一下發言委員的權益好嗎黨團幹部黨團幹部能不能麻煩約束一下好不好
transcript.whisperx[3].start 100.743
transcript.whisperx[3].end 109.747
transcript.whisperx[3].text 你們其他立委在哪裡你們其他人在哪裡你們剩下幾隻小貓啊其他人在哪裡其他人在哪裡
transcript.whisperx[4].start 126.243
transcript.whisperx[4].end 149.057
transcript.whisperx[4].text 學行柯總統柯建民在哪裡民進黨三分之二立法委員都不在了心水小濤時間暫停齊開委員我已經說時間暫停了歡迎委員麻煩到前面去好嗎
transcript.whisperx[5].start 156.421
transcript.whisperx[5].end 183.604
transcript.whisperx[5].text 時間暫停我們尊重一下發言委員的權益好不好 再一次拜託大家再一次拜託大家
transcript.whisperx[6].start 188.206
transcript.whisperx[6].end 209.545
transcript.whisperx[6].text 今天會議目前都非常的順 好不好大家再 大家 忍耐一下好 謝謝 謝謝好 我們現在繼續請張祺凱委員發言謝謝好 我們能不能請所有前面的幾位委員回到位置好嗎
transcript.whisperx[7].start 214.522
transcript.whisperx[7].end 239.455
transcript.whisperx[7].text 有嗎 你們講話的時候民眾黨有任何人這樣舉牌嗎有嗎你們不要拉低台灣立法院的水準請下去你們講話的時候民眾黨有任何立委舉過這牌抗議過嗎你每次都在造謠 造謠可多了你連一點民主素養都沒有
transcript.whisperx[8].start 246.886
transcript.whisperx[8].end 270.722
transcript.whisperx[8].text 你大牌的孩子這麼大聲 你們是要遭遇到你們幾個遭遇到學型柯總召 柯總召在哪裡好 謝謝大家請下去 不要鬧笑話啦全世界看到你們都鬧笑話請下去你們來在這裡
transcript.whisperx[9].start 273.68
transcript.whisperx[9].end 301.42
transcript.whisperx[9].text 都嫁回來嘛 你們下去啦我們在發言的時候你們在發言我們有這樣過嗎好 謝謝謝謝賴會員委員 謝謝范雲委員謝謝林月琴委員 謝謝郭育群委員我們就請回座好嗎現在還有發言總共3分鐘還有1分22秒好不好我們今天會議進行都很順暢
transcript.whisperx[10].start 303.769
transcript.whisperx[10].end 328.145
transcript.whisperx[10].text 不要功虧一簣好嗎好 謝謝沈博洋委員好 謝謝好 請坐謝謝請問 美式民進黨立法院在這邊發言的時候有過民眾黨人的立委上來杯葛或是抗議嗎請你不要大低台灣立法院的水準好不好這民主殿堂欸不要蓋拍子那麼大聲
transcript.whisperx[11].start 330.523
transcript.whisperx[11].end 338.29
transcript.whisperx[11].text 請不要咆哮 再說會變輸掉喔你們要輸掉 炒輸掉是好事喔你們說炒輸掉是好事 又炒輸掉
transcript.whisperx[12].start 347.981
transcript.whisperx[12].end 372.842
transcript.whisperx[12].text 好,請安靜好不好,你等下有話,你再登記,上來講嘛我們張委員民主殿堂大家都可以發言啦,請安靜好不好完美位,你有意見你登記,上來講,完美位來,登記你抄什麼,民主殿堂啊,你來抄,你登記啊對啦,你登記,你抄什麼你有意見你登記啊
transcript.whisperx[13].start 380.786
transcript.whisperx[13].end 384.252
transcript.whisperx[13].text 你再燒燒燒,有意見可以講啊你現在在那裡想什麼啊?在那裡啦,你太讓人表現了啦
transcript.whisperx[14].start 392.22
transcript.whisperx[14].end 412.368
transcript.whisperx[14].text 你們罵人家造謠,罵人家中共同路人你來不過什麼薪水小通你來不過,挑釁嗎?只准你們民進黨罵人造謠如果你們罵人,每次人家站上來繼續罵你不要再吵,不要再罵,我就講好,謝謝了
transcript.whisperx[15].start 425.314
transcript.whisperx[15].end 453.062
transcript.whisperx[15].text 來 我們掌握時間好 棋桿委員請張棋桿委員好好 謝謝邱志偉委員請回座謝謝邱志偉委員好我們張棋桿委員請繼續好不好請繼續請民進黨不要再睜眼說瞎話了看看提案從現在開始
transcript.whisperx[16].start 455.293
transcript.whisperx[16].end 476.444
transcript.whisperx[16].text 要不要用核電就看台電要不要提出申請看看民進黨政府有沒有去安全檢查安全檢查完才可以用民進黨付錢者從現在開始我們的發電成本增加了電變貴了變髒了民進黨要不要改革民進黨付錢者還是民進黨繼續在擺爛在5月17號的晚上
transcript.whisperx[17].start 480.706
transcript.whisperx[17].end 499.602
transcript.whisperx[17].text 我們火力全開我們全台灣人用廢發電火力發電高達96%台中市長盧秀燕出來抗議說啊5月17號的晚上台中火力全開
transcript.whisperx[18].start 504.192
transcript.whisperx[18].end 529.235
transcript.whisperx[18].text 他們的用電從5月16號到18號增加了50%全部都是燒煤炭我要提醒不是只有台中人包括高雄前台灣人因為核電停掉之後多燒的煤炭跟天然氣每個人污染都增加了民進黨不要不顧人民的死活
transcript.whisperx[19].start 530.498
transcript.whisperx[19].end 555.967
transcript.whisperx[19].text 全世界人進黨不要不顧人民的死活更重要的請暫停 請暫停直接暫停好 王定宇委員好發言還有四秒鐘請大家忍耐一下好嗎好 請繼續發言
transcript.whisperx[20].start 559.298
transcript.whisperx[20].end 559.538
transcript.whisperx[20].text 好嗎?好