iVOD / 163937

Field Value
IVOD_ID 163937
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163937
日期 2025-10-08
會議資料.會議代碼 聯席會議-11-4-20,15,35,19,22,26-1
會議資料.會議代碼:str 第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 20
會議資料.委員會代碼[1] 15
會議資料.委員會代碼[2] 35
會議資料.委員會代碼[3] 19
會議資料.委員會代碼[4] 22
會議資料.委員會代碼[5] 26
會議資料.委員會代碼:str[0] 財政委員會
會議資料.委員會代碼:str[1] 內政委員會
會議資料.委員會代碼:str[2] 外交及國防委員會
會議資料.委員會代碼:str[3] 經濟委員會
會議資料.委員會代碼:str[4] 教育及文化委員會
會議資料.委員會代碼:str[5] 社會福利及衛生環境委員會
會議資料.標題 第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境委員會第1次聯席會議
影片種類 Clip
開始時間 2025-10-08T12:53:08+08:00
結束時間 2025-10-08T13:02:26+08:00
影片長度 00:09:18
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f0233cd0619a8ff05c1597dd45db6fb22b1f00580874b15590b149bf9762da9207c68077156111bd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱志偉
委員發言時間 12:53:08 - 13:02:26
會議時間 2025-10-08T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境委員會第1次聯席會議(事由:審查行政院函請審議「中央政府因應國際情勢強化經濟社會及民生國安韌性特別預算案(114年度至116年度)」【詢答及處理,預算提案於10月8日上午10時截止收件】【10月8日及9日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 3.50721875
transcript.pyannote[0].end 6.61221875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 6.79784375
transcript.pyannote[1].end 7.82721875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 11.97846875
transcript.pyannote[2].end 15.77534375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 12.56909375
transcript.pyannote[3].end 13.69971875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 15.97784375
transcript.pyannote[4].end 20.36534375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 18.50909375
transcript.pyannote[5].end 18.61034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 20.36534375
transcript.pyannote[6].end 20.78721875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 20.88846875
transcript.pyannote[7].end 28.38096875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 26.96346875
transcript.pyannote[8].end 28.97159375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 28.97159375
transcript.pyannote[9].end 29.03909375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 29.03909375
transcript.pyannote[10].end 29.96721875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 29.96721875
transcript.pyannote[11].end 30.69284375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 30.69284375
transcript.pyannote[12].end 30.92909375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 30.92909375
transcript.pyannote[13].end 34.94534375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 30.96284375
transcript.pyannote[14].end 31.67159375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 33.54471875
transcript.pyannote[15].end 33.96659375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 35.50221875
transcript.pyannote[16].end 36.14346875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 36.48096875
transcript.pyannote[17].end 39.50159375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 39.99096875
transcript.pyannote[18].end 41.98221875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 42.85971875
transcript.pyannote[19].end 46.45409375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 47.31471875
transcript.pyannote[20].end 48.39471875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 48.56346875
transcript.pyannote[21].end 49.59284375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 50.50409375
transcript.pyannote[22].end 56.54534375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 53.81159375
transcript.pyannote[23].end 54.72284375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 57.25409375
transcript.pyannote[24].end 58.30034375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 58.75596875
transcript.pyannote[25].end 61.00034375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 61.35471875
transcript.pyannote[26].end 63.10971875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 61.47284375
transcript.pyannote[27].end 67.26096875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 65.72534375
transcript.pyannote[28].end 71.34471875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 72.49221875
transcript.pyannote[29].end 72.50909375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 72.50909375
transcript.pyannote[30].end 76.49159375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 75.54659375
transcript.pyannote[31].end 78.38159375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 78.38159375
transcript.pyannote[32].end 78.41534375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 78.41534375
transcript.pyannote[33].end 78.83721875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 78.85409375
transcript.pyannote[34].end 79.22534375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 79.76534375
transcript.pyannote[35].end 87.05534375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 87.61221875
transcript.pyannote[36].end 87.96659375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 87.96659375
transcript.pyannote[37].end 89.73846875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 88.11846875
transcript.pyannote[38].end 93.18096875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 92.08409375
transcript.pyannote[39].end 94.88534375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 95.56034375
transcript.pyannote[40].end 105.31409375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 95.84721875
transcript.pyannote[41].end 95.96534375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 105.43221875
transcript.pyannote[42].end 106.22534375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 106.93409375
transcript.pyannote[43].end 108.82409375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 109.36409375
transcript.pyannote[44].end 110.41034375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 111.10221875
transcript.pyannote[45].end 115.25346875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 116.23221875
transcript.pyannote[46].end 118.10534375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 118.99971875
transcript.pyannote[47].end 119.57346875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 120.14721875
transcript.pyannote[48].end 120.85596875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 121.34534375
transcript.pyannote[49].end 122.00346875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 123.13409375
transcript.pyannote[50].end 123.85971875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 124.19721875
transcript.pyannote[51].end 125.05784375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 125.17596875
transcript.pyannote[52].end 125.69909375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 125.91846875
transcript.pyannote[53].end 127.75784375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 126.57659375
transcript.pyannote[54].end 127.58909375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 127.75784375
transcript.pyannote[55].end 127.77471875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 128.39909375
transcript.pyannote[56].end 128.46659375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 129.04034375
transcript.pyannote[57].end 132.02721875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 132.48284375
transcript.pyannote[58].end 134.98034375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 134.27159375
transcript.pyannote[59].end 135.79034375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 136.39784375
transcript.pyannote[60].end 138.65909375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 137.59596875
transcript.pyannote[61].end 139.24971875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 141.40971875
transcript.pyannote[62].end 142.01721875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 142.87784375
transcript.pyannote[63].end 147.67034375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 148.46346875
transcript.pyannote[64].end 149.12159375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 149.22284375
transcript.pyannote[65].end 152.10846875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 152.34471875
transcript.pyannote[66].end 153.42471875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 154.26846875
transcript.pyannote[67].end 155.90534375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 157.06971875
transcript.pyannote[68].end 159.11159375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 160.37721875
transcript.pyannote[69].end 161.49096875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 162.26721875
transcript.pyannote[70].end 165.70971875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 167.09346875
transcript.pyannote[71].end 169.59096875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 170.55284375
transcript.pyannote[72].end 177.06659375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 177.87659375
transcript.pyannote[73].end 178.99034375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 180.50909375
transcript.pyannote[74].end 191.52846875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 191.86596875
transcript.pyannote[75].end 194.21159375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 195.32534375
transcript.pyannote[76].end 198.44721875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 199.08846875
transcript.pyannote[77].end 200.33721875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 201.21471875
transcript.pyannote[78].end 205.55159375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 206.58096875
transcript.pyannote[79].end 209.65221875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 210.68159375
transcript.pyannote[80].end 214.27596875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 215.03534375
transcript.pyannote[81].end 217.93784375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 218.79846875
transcript.pyannote[82].end 221.24534375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 222.81471875
transcript.pyannote[83].end 232.11284375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 232.75409375
transcript.pyannote[84].end 236.98971875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 237.63096875
transcript.pyannote[85].end 240.36471875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 241.10721875
transcript.pyannote[86].end 241.98471875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 242.67659375
transcript.pyannote[87].end 245.03909375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 245.19096875
transcript.pyannote[88].end 246.45659375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 246.97971875
transcript.pyannote[89].end 249.91596875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 250.30409375
transcript.pyannote[90].end 252.66659375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 252.10971875
transcript.pyannote[91].end 253.00409375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 253.27409375
transcript.pyannote[92].end 253.62846875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 253.69596875
transcript.pyannote[93].end 254.57346875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 255.36659375
transcript.pyannote[94].end 258.21846875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 258.84284375
transcript.pyannote[95].end 260.15909375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 260.86784375
transcript.pyannote[96].end 262.72409375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 262.97721875
transcript.pyannote[97].end 264.58034375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 265.87971875
transcript.pyannote[98].end 266.53784375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 267.06096875
transcript.pyannote[99].end 269.44034375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 270.23346875
transcript.pyannote[100].end 274.19909375
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 274.57034375
transcript.pyannote[101].end 277.16909375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 278.35034375
transcript.pyannote[102].end 281.72534375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 282.48471875
transcript.pyannote[103].end 283.81784375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 284.94846875
transcript.pyannote[104].end 288.12096875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 289.40346875
transcript.pyannote[105].end 292.86284375
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 294.98909375
transcript.pyannote[106].end 295.84971875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 296.40659375
transcript.pyannote[107].end 299.22471875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 301.13159375
transcript.pyannote[108].end 303.03846875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 304.32096875
transcript.pyannote[109].end 305.60346875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 306.44721875
transcript.pyannote[110].end 308.43846875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 310.26096875
transcript.pyannote[111].end 313.16346875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 314.12534375
transcript.pyannote[112].end 316.99409375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 316.13346875
transcript.pyannote[113].end 316.15034375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 316.15034375
transcript.pyannote[114].end 316.79159375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 316.79159375
transcript.pyannote[115].end 316.84221875
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 317.50034375
transcript.pyannote[116].end 317.71971875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 318.02346875
transcript.pyannote[117].end 318.69846875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 319.25534375
transcript.pyannote[118].end 320.95971875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 321.76971875
transcript.pyannote[119].end 323.01846875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 323.62596875
transcript.pyannote[120].end 324.57096875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 325.19534375
transcript.pyannote[121].end 326.32596875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 327.40596875
transcript.pyannote[122].end 329.97096875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 330.56159375
transcript.pyannote[123].end 332.02971875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 333.58221875
transcript.pyannote[124].end 335.87721875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 336.87284375
transcript.pyannote[125].end 337.49721875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 337.96971875
transcript.pyannote[126].end 339.04971875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 338.03721875
transcript.pyannote[127].end 338.08784375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 339.18471875
transcript.pyannote[128].end 340.29846875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 340.55159375
transcript.pyannote[129].end 341.71596875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 342.93096875
transcript.pyannote[130].end 343.97721875
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 344.23034375
transcript.pyannote[131].end 344.56784375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 346.13721875
transcript.pyannote[132].end 346.98096875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 347.55471875
transcript.pyannote[133].end 348.26346875
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 349.61346875
transcript.pyannote[134].end 351.72284375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 352.56659375
transcript.pyannote[135].end 354.47346875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 355.09784375
transcript.pyannote[136].end 358.82721875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 359.28284375
transcript.pyannote[137].end 363.34971875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 363.85596875
transcript.pyannote[138].end 364.61534375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 365.30721875
transcript.pyannote[139].end 367.46721875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 369.28971875
transcript.pyannote[140].end 372.69846875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 373.54221875
transcript.pyannote[141].end 377.72721875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 379.19534375
transcript.pyannote[142].end 381.43971875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 381.94596875
transcript.pyannote[143].end 384.15659375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 385.25346875
transcript.pyannote[144].end 387.61596875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 388.29096875
transcript.pyannote[145].end 391.39596875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 392.91471875
transcript.pyannote[146].end 398.92221875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 399.79971875
transcript.pyannote[147].end 401.79096875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 403.76534375
transcript.pyannote[148].end 404.54159375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 405.31784375
transcript.pyannote[149].end 418.34534375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 417.40034375
transcript.pyannote[150].end 422.47971875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 422.58096875
transcript.pyannote[151].end 432.04784375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 423.28971875
transcript.pyannote[152].end 423.81284375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 432.13221875
transcript.pyannote[153].end 433.12784375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 433.12784375
transcript.pyannote[154].end 435.52409375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 434.88284375
transcript.pyannote[155].end 437.36346875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 436.03034375
transcript.pyannote[156].end 437.31284375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 437.36346875
transcript.pyannote[157].end 443.18534375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 441.66659375
transcript.pyannote[158].end 442.96596875
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 443.18534375
transcript.pyannote[159].end 444.94034375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 445.78409375
transcript.pyannote[160].end 447.01596875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 448.60221875
transcript.pyannote[161].end 451.25159375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 451.25159375
transcript.pyannote[162].end 451.60596875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 451.55534375
transcript.pyannote[163].end 454.20471875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 454.93034375
transcript.pyannote[164].end 457.10721875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 454.96409375
transcript.pyannote[165].end 455.75721875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 456.28034375
transcript.pyannote[166].end 456.78659375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 457.10721875
transcript.pyannote[167].end 460.06034375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 459.84096875
transcript.pyannote[168].end 463.28346875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 463.85721875
transcript.pyannote[169].end 464.16096875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 464.53221875
transcript.pyannote[170].end 466.92846875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 465.46034375
transcript.pyannote[171].end 470.99534375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 468.26159375
transcript.pyannote[172].end 473.49284375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 473.49284375
transcript.pyannote[173].end 477.00284375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 477.00284375
transcript.pyannote[174].end 477.59346875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 477.59346875
transcript.pyannote[175].end 478.43721875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 477.62721875
transcript.pyannote[176].end 478.30221875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 478.30221875
transcript.pyannote[177].end 478.33596875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 478.69034375
transcript.pyannote[178].end 482.53784375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 480.98534375
transcript.pyannote[179].end 482.50409375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 482.99346875
transcript.pyannote[180].end 483.07784375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 483.36471875
transcript.pyannote[181].end 494.90721875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 495.00846875
transcript.pyannote[182].end 499.14284375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 498.33284375
transcript.pyannote[183].end 502.11284375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 500.44221875
transcript.pyannote[184].end 511.49534375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 511.96784375
transcript.pyannote[185].end 520.96221875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 518.26221875
transcript.pyannote[186].end 520.05096875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 520.05096875
transcript.pyannote[187].end 522.76784375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 523.78034375
transcript.pyannote[188].end 529.93971875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 525.72096875
transcript.pyannote[189].end 526.09221875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 526.66596875
transcript.pyannote[190].end 532.08284375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 530.74971875
transcript.pyannote[191].end 537.14534375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 534.10784375
transcript.pyannote[192].end 535.74471875
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 537.73596875
transcript.pyannote[193].end 539.49096875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 537.82034375
transcript.pyannote[194].end 538.12409375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 540.13221875
transcript.pyannote[195].end 543.60846875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 542.68034375
transcript.pyannote[196].end 552.46784375
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 543.82784375
transcript.pyannote[197].end 544.97534375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 546.19034375
transcript.pyannote[198].end 546.20721875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 546.20721875
transcript.pyannote[199].end 546.73034375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 546.73034375
transcript.pyannote[200].end 546.79784375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 553.68284375
transcript.pyannote[201].end 554.45909375
transcript.whisperx[0].start 3.53
transcript.whisperx[0].end 6.282
transcript.whisperx[0].text 好 謝謝主席 先請經濟部龔 龔部長好 請龔部長
transcript.whisperx[1].start 12.434
transcript.whisperx[1].end 34.648
transcript.whisperx[1].text 第一個問題請教您就是這個台積電二奈米在那個男子產業園區預定設立五個廠所有的進度都在時序上面每一廠都會按照進度來進行還有稍微提前代表說市政府的效力跟決心只要有心
transcript.whisperx[2].start 35.569
transcript.whisperx[2].end 49.278
transcript.whisperx[2].text 就會有成只要沒心什麼事情都不會成剛師傅就是有心有決斷力有執行力媒體頭版報導1.4奈米也可能在高雄您的訊息怎麼樣
transcript.whisperx[3].start 51.083
transcript.whisperx[3].end 77.949
transcript.whisperx[3].text 那個可能是第六場喔我知道不過他們明天這樣寫1.4奈米不可能空穴來風那你一定是這個訊息中人啊那個可能還是有台積電來對外說明比較好還是有台積電對外說明比較好你了解的訊息跟媒體所揭露的方向有沒有一致我也是看媒體包裝雜誌有揭露說有第六場如果是訊息是真的我做夢都會笑對
transcript.whisperx[4].start 80.571
transcript.whisperx[4].end 94.489
transcript.whisperx[4].text 這個代表說先進製程在台灣的高雄成為這個最先進製程的製造中心是 現在兩奈米就已經在高雄量產所以我期待國務部長再推一把勁
transcript.whisperx[5].start 95.915
transcript.whisperx[5].end 121.822
transcript.whisperx[5].text 如果有適當的場合再跟台積電再推薦再請他們能夠把這個1.4奈米的第六廠也設在這個高雄那高雄不見得要在南芷在白埔也不錯你聽到我意思嗎我知道好謝謝這個部長那接下來內政部劉部長休息一下
transcript.whisperx[6].start 123.174
transcript.whisperx[6].end 125.436
transcript.whisperx[6].text 國家的安全跟出入境的管制很重要
transcript.whisperx[7].start 148.57
transcript.whisperx[7].end 175.89
transcript.whisperx[7].text 所以 您三位 包括部長 包括兩位署長一個是這個官務的檢查一個是這個行李安檢的檢查國人出國啊第一個 安檢最重要 安檢必須要確實我們的出國旅行難得安心跟放心出國人數那麼多如果安檢不確實 不到位留意形勢或者安檢設備
transcript.whisperx[8].start 177.97
transcript.whisperx[8].end 205.179
transcript.whisperx[8].text 落後老舊所以我看過這個安檢設備你不用比日韓日韓三線的城市都比台灣的安檢設備好太多了比起這個東南亞城市東南亞國家我們還是第一 倒數第一這個安檢的設備怎麼會落後到這種程度都要人工去搬運甚至在看這個螢幕的航體人員還要去協助搬運
transcript.whisperx[9].start 206.673
transcript.whisperx[9].end 220.919
transcript.whisperx[9].text 人力不足是長期以來的問題不是你當署長才有的所以你要跟部長反映你要跟院長反映 跟總統反映國軍的安檢很重要一有閃失整個飛機都會受到安全的影響
transcript.whisperx[10].start 222.884
transcript.whisperx[10].end 248.116
transcript.whisperx[10].text 外國旅客也沒有信心 我在看這國家門門啊一條線一個航警局的同仁在看monitor而且要看得確實 我希望要兢兢業業看得確實你們看到一半又起來 又幫忙搬那個行李這個行李是外面的保全公司 如果行李看起來monitor有異議要打開行李檢查 誰檢查 那個署長
transcript.whisperx[11].start 250.779
transcript.whisperx[11].end 276.835
transcript.whisperx[11].text 我們的警察 現狀是嗎現狀不是 現狀是保全公司在檢查還有碩果專業訓練嗎你要去現場看一下所有機場我都幫你巡視過了松山 桃一桃二跟小港安檢一定要很重視你把當作一回事很重要的事情這跟國家安全 國家安全是國家的任性
transcript.whisperx[12].start 278.41
transcript.whisperx[12].end 292.677
transcript.whisperx[12].text 如果外國官方看到 哇 這是安檢 台灣的安檢他們會怕怕的所以人員一定要補足 設備要更新我今天有提案你要有一個設備更新的時程全亞洲倒數第一名的安檢設備就是中華民國我很不客氣這樣講 你去現場看一下
transcript.whisperx[13].start 304.543
transcript.whisperx[13].end 331.07
transcript.whisperx[13].text 人員人力不足 行政人員也吵到要死太吵他會打架 他要怎麼好好看所以說你要把它當作一回事來看另外 關務署 旅客回國關務署的同仁 主席再給我一分鐘關務署的同仁 大批旅客出國我看到大概兩名在那邊 就是免報關稅的
transcript.whisperx[14].start 333.595
transcript.whisperx[14].end 335.496
transcript.whisperx[14].text 非洲豬瘟固然把守很重要
transcript.whisperx[15].start 352.625
transcript.whisperx[15].end 377.392
transcript.whisperx[15].text 但你要看看他的效益如何我只請教你這個問題我們國家花2億去請保險公司保險公司的預算比安檢的預算人員還多比方昨天兩條線配置20個人員他只不過把行李放過來再經過X光機這些保險公司的同仁還有這個專業去判斷哪些是違禁品嗎
transcript.whisperx[16].start 379.284
transcript.whisperx[16].end 401.703
transcript.whisperx[16].text 其他的都協助行李搬運一條多少十倍 兩條多少二十倍有需要動用那麼多的國家經費嗎為了人力不縮減把這個人力再撥給警政署呢我不是不支持你們的政策但是我支持你們的政策你們把錢放在刀口上不要留意情勢 不要留意浪費部長你回應一下
transcript.whisperx[17].start 405.359
transcript.whisperx[17].end 422.016
transcript.whisperx[17].text 我先跟委員說明一下就是有關於我們進口針對非洲豬瘟的這些檢查的部分然後在手提行李我們現在上次委員有提到就是不能完全用保全能源一定是我們有配出的能源沒有 你們房檢署我每次去沒有一個房檢署你調形師去看看
transcript.whisperx[18].start 422.757
transcript.whisperx[18].end 446.719
transcript.whisperx[18].text 然後另外沒有一個防檢局人員在那邊全部都是我在那邊站著看了一分鐘沒有一個你們這個農業部同仁這個部分我想我會再來去了解他們回報是說他們有正式的桃園分屬的獨島人員在那邊我初也算是平凡我很認真去看
transcript.whisperx[19].start 448.703
transcript.whisperx[19].end 477.792
transcript.whisperx[19].text 沒有一個防疫警局人員全部都是這個大部分人力是在怎麼樣在協助搬運行李你何必那麼多人去協助搬運行李呢部長 這個政策確實值得講而且很多人可能反映為什麼還要再加安檢一次意義在哪裡成效如果真的有成效每次都造成塞車啦如果有成效你跟我講你把數據提供給我沒有成效為什麼要你一年要花兩億邱委員 請大家把用書面詳細給你做報告好不好書面我都看過好幾次
transcript.whisperx[20].start 483.465
transcript.whisperx[20].end 494.393
transcript.whisperx[20].text 我想跟委員報告我也知道就是說在增加觀光人潮的時候它的確是一個關卡但是現在我們在後在國內的部分因為還是有除以
transcript.whisperx[21].start 496.035
transcript.whisperx[21].end 511.031
transcript.whisperx[21].text 養豬那有廚餘養豬它的風險就必須要去處理那你這個政策要執行到何時所以相對的就是我們現在在整個跨部會在討論的時候我們也希望說逐步的把這個廚餘禁養禁用廚餘我問你嘛很簡單你的政策要執行到何時嘛
transcript.whisperx[22].start 512.585
transcript.whisperx[22].end 523.868
transcript.whisperx[22].text 因為用廚餘養豬這個東西必須跟業者在溝通特別在桃園地區有很多廚餘養豬的部分另外這個張署長還有這個彭署長就你們執行面你們要求同仁戰戰兢兢的時間超過太多了我們再十秒要戰戰兢兢的執行公務要讓旅客安心 讓國人安心
transcript.whisperx[23].start 537.911
transcript.whisperx[23].end 543.936
transcript.whisperx[23].text 然後業務在執行的過程中一定要很認真邱委員你的問題署長都聽到了我們加強執行好不好謝謝邱志偉委員 謝謝接下來請王美惠委員