iVOD / 160432

Field Value
IVOD_ID 160432
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160432
日期 2025-04-22
會議資料.會議代碼 院會-11-3-8
會議資料.會議代碼:str 第11屆第3會期第8次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 8
會議資料.種類 院會
會議資料.標題 第11屆第3會期第8次會議
影片種類 Clip
開始時間 2025-04-22T09:17:39+08:00
結束時間 2025-04-22T09:34:10+08:00
影片長度 00:16:31
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/dfcb33c81b5f4f3f0675b2ca40f787a275b01fba8380de05fb326c0d1c12ee0fc7ca98e9358032305ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 麥玉珍
委員發言時間 09:17:39 - 09:34:10
會議時間 2025-04-22T09:00:00+08:00
會議名稱 第11屆第3會期第8次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、4月18日上午9時至10時為國是論壇時間。三、4月22日下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.82409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 17.81721875
transcript.pyannote[1].end 18.03659375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.20534375
transcript.pyannote[2].end 20.44971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 20.90534375
transcript.pyannote[3].end 22.44096875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 33.81471875
transcript.pyannote[4].end 34.37159375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 34.77659375
transcript.pyannote[5].end 35.58659375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 36.34596875
transcript.pyannote[6].end 41.15534375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 41.44221875
transcript.pyannote[7].end 46.50471875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 46.77471875
transcript.pyannote[8].end 49.94721875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 50.80784375
transcript.pyannote[9].end 51.51659375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 51.90471875
transcript.pyannote[10].end 51.95534375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 51.95534375
transcript.pyannote[11].end 52.03971875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 52.03971875
transcript.pyannote[12].end 53.77784375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 52.05659375
transcript.pyannote[13].end 52.19159375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 54.40221875
transcript.pyannote[14].end 54.63846875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 55.06034375
transcript.pyannote[15].end 59.44784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 59.92034375
transcript.pyannote[16].end 73.38659375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 74.06159375
transcript.pyannote[17].end 75.17534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 76.22159375
transcript.pyannote[18].end 77.90909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 76.37346875
transcript.pyannote[19].end 76.66034375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 77.94284375
transcript.pyannote[20].end 92.64096875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 78.06096875
transcript.pyannote[21].end 78.33096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 94.00784375
transcript.pyannote[22].end 101.85471875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 102.09096875
transcript.pyannote[23].end 106.37721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 105.21284375
transcript.pyannote[24].end 105.82034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 106.66409375
transcript.pyannote[25].end 108.06471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 106.83284375
transcript.pyannote[26].end 111.69284375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 111.05159375
transcript.pyannote[27].end 133.02284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 133.74846875
transcript.pyannote[28].end 135.04784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 135.25034375
transcript.pyannote[29].end 141.44346875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 138.99659375
transcript.pyannote[30].end 139.50284375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 140.76846875
transcript.pyannote[31].end 142.27034375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 142.82721875
transcript.pyannote[32].end 150.70784375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 146.37096875
transcript.pyannote[33].end 156.25971875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 150.97784375
transcript.pyannote[34].end 152.05784375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 154.85909375
transcript.pyannote[35].end 161.86221875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 158.52096875
transcript.pyannote[36].end 167.02596875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 162.03096875
transcript.pyannote[37].end 163.14471875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 167.02596875
transcript.pyannote[38].end 167.41409375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 167.41409375
transcript.pyannote[39].end 168.83159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 167.43096875
transcript.pyannote[40].end 168.76409375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 169.13534375
transcript.pyannote[41].end 177.15096875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 177.60659375
transcript.pyannote[42].end 188.00159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 177.79221875
transcript.pyannote[43].end 182.21346875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 188.64284375
transcript.pyannote[44].end 194.34659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 190.78596875
transcript.pyannote[45].end 194.92034375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 194.86971875
transcript.pyannote[46].end 194.88659375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 194.92034375
transcript.pyannote[47].end 202.09221875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 202.66596875
transcript.pyannote[48].end 217.61721875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 218.44409375
transcript.pyannote[49].end 226.67909375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 227.72534375
transcript.pyannote[50].end 244.24596875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 245.30909375
transcript.pyannote[51].end 247.80659375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 249.29159375
transcript.pyannote[52].end 292.67721875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 251.26596875
transcript.pyannote[53].end 252.22784375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 255.78846875
transcript.pyannote[54].end 256.07534375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 287.74971875
transcript.pyannote[55].end 289.38659375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 292.33971875
transcript.pyannote[56].end 298.27971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 298.06034375
transcript.pyannote[57].end 304.43909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 298.41471875
transcript.pyannote[58].end 300.94596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 303.03846875
transcript.pyannote[59].end 303.74721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 304.43909375
transcript.pyannote[60].end 309.21471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 306.10971875
transcript.pyannote[61].end 319.39034375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 310.21034375
transcript.pyannote[62].end 312.62346875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 313.46721875
transcript.pyannote[63].end 315.47534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 317.17971875
transcript.pyannote[64].end 320.52096875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 320.87534375
transcript.pyannote[65].end 323.81159375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 322.20846875
transcript.pyannote[66].end 325.93784375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 325.97159375
transcript.pyannote[67].end 325.98846875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 326.12346875
transcript.pyannote[68].end 332.43471875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 327.15284375
transcript.pyannote[69].end 330.02159375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 331.16909375
transcript.pyannote[70].end 334.76346875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 335.80971875
transcript.pyannote[71].end 341.04096875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 342.27284375
transcript.pyannote[72].end 360.85221875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 360.98721875
transcript.pyannote[73].end 364.58159375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 364.91909375
transcript.pyannote[74].end 366.16784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 365.12159375
transcript.pyannote[75].end 366.42096875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 367.02846875
transcript.pyannote[76].end 368.93534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 369.45846875
transcript.pyannote[77].end 369.86346875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 370.63971875
transcript.pyannote[78].end 391.76721875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 381.25409375
transcript.pyannote[79].end 382.65471875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 384.52784375
transcript.pyannote[80].end 387.81846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 390.34971875
transcript.pyannote[81].end 393.25221875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 391.81784375
transcript.pyannote[82].end 415.99971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 405.67221875
transcript.pyannote[83].end 405.68909375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 406.33034375
transcript.pyannote[84].end 406.97159375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 407.25846875
transcript.pyannote[85].end 408.72659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 411.03846875
transcript.pyannote[86].end 411.30846875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 411.54471875
transcript.pyannote[87].end 413.60346875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 416.15159375
transcript.pyannote[88].end 438.37596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 422.59784375
transcript.pyannote[89].end 430.09034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 436.16534375
transcript.pyannote[90].end 436.60409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 437.85284375
transcript.pyannote[91].end 445.91909375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 440.99159375
transcript.pyannote[92].end 458.40659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 458.57534375
transcript.pyannote[93].end 459.45284375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 459.85784375
transcript.pyannote[94].end 462.10221875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 463.36784375
transcript.pyannote[95].end 493.40534375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 473.93159375
transcript.pyannote[96].end 476.36159375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 494.04659375
transcript.pyannote[97].end 500.98221875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 501.28596875
transcript.pyannote[98].end 502.85534375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 503.34471875
transcript.pyannote[99].end 505.70721875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 508.81221875
transcript.pyannote[100].end 510.16221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 510.41534375
transcript.pyannote[101].end 512.00159375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 515.10659375
transcript.pyannote[102].end 517.92471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 517.97534375
transcript.pyannote[103].end 518.02596875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 518.11034375
transcript.pyannote[104].end 519.00471875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 519.46034375
transcript.pyannote[105].end 540.63846875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 536.47034375
transcript.pyannote[106].end 536.99346875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 541.02659375
transcript.pyannote[107].end 545.19471875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 545.53221875
transcript.pyannote[108].end 562.00221875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 559.79159375
transcript.pyannote[109].end 561.96846875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 562.60971875
transcript.pyannote[110].end 575.31659375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 565.39409375
transcript.pyannote[111].end 566.69346875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 573.24096875
transcript.pyannote[112].end 575.28284375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 576.39659375
transcript.pyannote[113].end 591.76971875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 592.29284375
transcript.pyannote[114].end 603.73409375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 604.24034375
transcript.pyannote[115].end 613.85909375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 606.45096875
transcript.pyannote[116].end 608.96534375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 609.67409375
transcript.pyannote[117].end 612.74534375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 613.99409375
transcript.pyannote[118].end 650.84909375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 615.86721875
transcript.pyannote[119].end 618.56721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 619.39409375
transcript.pyannote[120].end 620.84534375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 628.86096875
transcript.pyannote[121].end 630.83534375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 651.47346875
transcript.pyannote[122].end 731.51159375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 731.74784375
transcript.pyannote[123].end 744.26909375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 744.65721875
transcript.pyannote[124].end 761.39721875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 761.54909375
transcript.pyannote[125].end 794.62409375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 794.62409375
transcript.pyannote[126].end 802.82534375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 802.87596875
transcript.pyannote[127].end 805.91346875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 805.91346875
transcript.pyannote[128].end 807.02721875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 805.94721875
transcript.pyannote[129].end 806.74034375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 807.02721875
transcript.pyannote[130].end 811.34721875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 807.06096875
transcript.pyannote[131].end 811.54971875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 811.48221875
transcript.pyannote[132].end 818.75534375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 819.27846875
transcript.pyannote[133].end 820.34159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 820.76346875
transcript.pyannote[134].end 824.22284375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 822.34971875
transcript.pyannote[135].end 823.51409375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 823.58159375
transcript.pyannote[136].end 827.04096875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 827.96909375
transcript.pyannote[137].end 832.15409375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 832.57596875
transcript.pyannote[138].end 843.25784375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 832.89659375
transcript.pyannote[139].end 833.63909375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 834.41534375
transcript.pyannote[140].end 834.90471875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 835.39409375
transcript.pyannote[141].end 836.98034375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 840.59159375
transcript.pyannote[142].end 841.41846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 843.49409375
transcript.pyannote[143].end 847.24034375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 843.54471875
transcript.pyannote[144].end 845.56971875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 846.59909375
transcript.pyannote[145].end 849.51846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 849.72096875
transcript.pyannote[146].end 852.74159375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 851.83034375
transcript.pyannote[147].end 865.31346875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 858.24284375
transcript.pyannote[148].end 858.96846875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 861.21284375
transcript.pyannote[149].end 861.58409375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 862.52909375
transcript.pyannote[150].end 864.08159375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 865.58346875
transcript.pyannote[151].end 867.81096875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 865.70159375
transcript.pyannote[152].end 869.73471875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 870.64596875
transcript.pyannote[153].end 874.18971875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 871.30409375
transcript.pyannote[154].end 872.16471875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 874.42596875
transcript.pyannote[155].end 888.93846875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 877.64909375
transcript.pyannote[156].end 879.70784375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 881.04096875
transcript.pyannote[157].end 883.84221875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 884.53409375
transcript.pyannote[158].end 886.18784375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 887.95971875
transcript.pyannote[159].end 890.79471875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 890.96346875
transcript.pyannote[160].end 902.59034375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 891.68909375
transcript.pyannote[161].end 893.15721875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 894.08534375
transcript.pyannote[162].end 896.73471875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 897.22409375
transcript.pyannote[163].end 898.50659375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 901.05471875
transcript.pyannote[164].end 905.57721875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 905.02034375
transcript.pyannote[165].end 908.24346875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 909.42471875
transcript.pyannote[166].end 912.79971875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 912.02346875
transcript.pyannote[167].end 915.26346875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 913.08659375
transcript.pyannote[168].end 917.94659375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 918.38534375
transcript.pyannote[169].end 920.71409375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 920.95034375
transcript.pyannote[170].end 924.40971875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 924.51096875
transcript.pyannote[171].end 927.32909375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 927.80159375
transcript.pyannote[172].end 929.42159375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 927.80159375
transcript.pyannote[173].end 938.07846875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 931.80096875
transcript.pyannote[174].end 931.98659375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 942.44909375
transcript.pyannote[175].end 949.08096875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 949.45221875
transcript.pyannote[176].end 955.03784375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 955.13909375
transcript.pyannote[177].end 957.31596875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 957.53534375
transcript.pyannote[178].end 960.45471875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 957.92346875
transcript.pyannote[179].end 958.02471875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 958.78409375
transcript.pyannote[180].end 958.96971875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 959.03721875
transcript.pyannote[181].end 959.07096875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 960.85971875
transcript.pyannote[182].end 964.70721875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 961.65284375
transcript.pyannote[183].end 962.02409375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 963.84659375
transcript.pyannote[184].end 964.35284375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 964.90971875
transcript.pyannote[185].end 968.14971875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 966.46221875
transcript.pyannote[186].end 974.91659375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 968.57159375
transcript.pyannote[187].end 968.62221875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 974.96721875
transcript.pyannote[188].end 977.86971875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 982.40909375
transcript.pyannote[189].end 983.62409375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 984.02909375
transcript.pyannote[190].end 988.11284375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 989.63159375
transcript.pyannote[191].end 991.47096875
transcript.whisperx[0].start 0.249
transcript.whisperx[0].end 20.036
transcript.whisperx[0].text 請準備謝謝院長有請卓院長麻煩再請卓院長備詢
transcript.whisperx[1].start 33.954
transcript.whisperx[1].end 53.442
transcript.whisperx[1].text 院長好我有一個問題是帶民眾請教你的如果你孩子和你要十萬元去吃一頓牛排你會馬上給他還是會詢問他我會問他什麼事多少人去哪裡
transcript.whisperx[2].start 55.085
transcript.whisperx[2].end 72.093
transcript.whisperx[2].text 很好所以我再請教一下行政院如果你是說要問他我們也會去問你一樣的道理所以總預算也是一樣的所以再請教你是不是負責編列預算及執行計畫的職責是嗎 行政院
transcript.whisperx[3].start 76.418
transcript.whisperx[3].end 92.33
transcript.whisperx[3].text 行政院整個部會立法院是不是要負責為人民把關審查我們的預算好看錢有沒有亂花有沒有花在刀口上該不該給是不是要多少立法院
transcript.whisperx[4].start 94.022
transcript.whisperx[4].end 117.624
transcript.whisperx[4].text 不是都聽你的 你拿過來我們就馬上給跟你給孩子一樣 一定要問為什麼 是嗎對不對 跟誰去嘛 花什麼嘛 是不是你剛才有說嘛所以你拿行政院編訂預算 立法院審議預算 這是憲法所定的沒錯 所以跟我們人民在委託我問你的一樣的道理 這樣子的邏輯
transcript.whisperx[5].start 119.065
transcript.whisperx[5].end 141.121
transcript.whisperx[5].text 所以我們就合理合法的就是要請我們各個部會這麼的簡單而已就是你們要來跟我們是要審查預算所以我們要的就是要問要說明所以呢我們就是要溝通才會知道要不要給嘛 是不是
transcript.whisperx[6].start 142.898
transcript.whisperx[6].end 168.585
transcript.whisperx[6].text 小愛回答我說她要一百個人去做一件非常對她的公司我說踏一頓喔不要去解釋那個所以我們立法院要刪除的預算我們會跟她說我先凍結百分之七十妳吃到百分之三十的時候再跟我要啊我們立法院凍結是人民的錢嗎我可能跟她講妳吃到百分之三十的時候再回來跟我要
transcript.whisperx[7].start 169.465
transcript.whisperx[7].end 187.795
transcript.whisperx[7].text 問你就是我們百分之三十因為問了我們不知道他做什麼所以給他七十對啊對不對你說的對嘛我們問了你們要吃牛排我給你七十趴了嘛你真的吃牛排回來跟我講我才吃跟你
transcript.whisperx[8].start 188.715
transcript.whisperx[8].end 217.15
transcript.whisperx[8].text 在補嘛 在解凍嘛 這樣子那麼簡單的邏輯而已啊所以我們是 如果你覺得這樣我們現在全部我們立法院刪除的不是人民的費用所以你要在各個地方 你用立法我們立法院這邊的預算 你用行政院的身份到處去招搖 所以我們 我要敢問你
transcript.whisperx[9].start 218.533
transcript.whisperx[9].end 247.602
transcript.whisperx[9].text 我們113個立委在8個部會裡面去審所有的預算全部各部會的預算你有每一個一個去看嗎我們要幫你把關我們希望這個預算劃在刀口上萬一他們出事情你敢對全國的人民發誓只要各個部會有爭議我行政院長全部負責敢不敢
transcript.whisperx[10].start 249.366
transcript.whisperx[10].end 277.423
transcript.whisperx[10].text 你敢不敢嘛因為我們是幫你把關希望我們這個預算花在刀口上對不對不是我們要刪預算我們做任何事情我們就是因為你知道他們的預算我們省預算我在基層我們都有省的民間團體的預算都有起源目的執行我們要怎麼樣到效果但是我們這邊沒有
transcript.whisperx[11].start 278.664
transcript.whisperx[11].end 289.257
transcript.whisperx[11].text 完全去改113年的計畫沒有任何的創意也沒有任何的改變就送過來了所以我們看到的都是三個都是吃喝玩樂的我們有2,806億的新增預算委員怎麼可以說我們是改113年的計畫呢
transcript.whisperx[12].start 298.168
transcript.whisperx[12].end 310.574
transcript.whisperx[12].text 沒錯我看到的計畫是這樣改了都是13年的大部分都是改所以你要去看的你有沒有錢不看還是你聽說我們是真真的去看你有沒有去看全部夠不壞的預算所以真的院長
transcript.whisperx[13].start 320.919
transcript.whisperx[13].end 323.542
transcript.whisperx[13].text 館長 你要記得才能為人民發聲 你記錯就發錯聲音啊院長 你知道為什麼我上次問你說你眼鏡有沒有我
transcript.whisperx[14].start 342.332
transcript.whisperx[14].end 367.964
transcript.whisperx[14].text 的意思嗎我問你說你的眼睛沒有我的意思說什麼是你說目中無人你的心目中沒有百姓你要跟百姓交代不是回去跟家人交代所以我的意思是這樣所以現在我要請我們我們卓院長你把手摸在你的胸口上你感受一下它是冰的還是涼的溫的
transcript.whisperx[15].start 370.88
transcript.whisperx[15].end 383.248
transcript.whisperx[15].text 問的表示你還有良心所以呢我們希望你要去不要說你都是聽別人說你要自己來去所以會不會經委員說113年有我們2,806億的薪政預算嗎
transcript.whisperx[16].start 388.331
transcript.whisperx[16].end 407.924
transcript.whisperx[16].text 所以說我今天更失望的是說你總統賴總統把整個國家的部會交給你來去管理讓你要去溝通但是現在呢把我們台灣變成國際的消化還有我們的國安的問題還有我們賴總統的安危你有沒有考慮在我們的總統的身邊
transcript.whisperx[17].start 416.289
transcript.whisperx[17].end 419.151
transcript.whisperx[17].text 這樣子你要去檢討啊不是要來去對應我們要的不是對應諮詢我們要的是有效果如何去把我們台灣的政策和國立民三黨要合作如何去把大家去融合這個才是我們要的行政院長
transcript.whisperx[18].start 437.782
transcript.whisperx[18].end 461.439
transcript.whisperx[18].text 合作的前提是要把事實看清楚如果委員一直不懂我們2806一直在競爭預算那我沒有辦法跟這樣合作啊現在更失望的是你眼睛也看不到你心也感受不到我們有一句誠意我不知道怎麼講 你自己去體會好 所以說我接下來呢因為我真的接下來我要問你的我們在113年我們的
transcript.whisperx[19].start 463.427
transcript.whisperx[19].end 477.256
transcript.whisperx[19].text 立法院已經通過三途通過新住民基本法到現在我還沒有看到我們的職責所以我們明確我們有行政院的職責是要籌備我們的新住民發展署但是到現在我還沒有看到一個字所以我們行政的部門現在如何怎麼去執行因為我要公文過去跟內政部
transcript.whisperx[20].start 494.108
transcript.whisperx[20].end 505.62
transcript.whisperx[20].text 移民索要但是到现在为止我们看到的是这样会议记录是机密吗经费也是机密吗所以完全回我的公文是这样可以看一下公文写的是这样
transcript.whisperx[21].start 515.531
transcript.whisperx[21].end 540.236
transcript.whisperx[21].text 所以說這個公文我們看到的就是說我在2月10號還有2月14號兩個發文進度在哪裡我沒有看到所以說我們部長可以回我一下說回復的態度還有回復這樣的問題是你指令的嗎所以完全我沒有看到說我們現在的進度在哪裡
transcript.whisperx[22].start 541.216
transcript.whisperx[22].end 561.257
transcript.whisperx[22].text 報告委員我們到目前為止已經開過16次的會議裡面包括原則上開的整體的會議的時候是6次然後工作層級的會議是10次我們盤點出來包括內政部包括移民署包括新住民署還有相關的其他部會要跟著做改變的部分三次你們有用我的時間嗎
transcript.whisperx[23].start 562.398
transcript.whisperx[23].end 563.639
transcript.whisperx[23].text 這個是移民署移民署內政部回我這樣所以你有看過嗎 你知道嗎我們按照全責的分配全責的分配這個是機密嗎
transcript.whisperx[24].start 576.428
transcript.whisperx[24].end 602.4
transcript.whisperx[24].text 沒有經歷吧 你講的頭頭是道嘛所以大家都在開會 都在這樣但是呢 我們已經立法三讀通過了我們依法行政嘛 你說依法行政嘛但是我們沒有看到啊 對不對連說你說籌備新聞 你說籌備處沒有去執行 怎麼會籌備呢連快一年了 九個月了 一個籌備處啊 沒看到的東西
transcript.whisperx[25].start 604.281
transcript.whisperx[25].end 605.463
transcript.whisperx[25].text 我們本來就有籌備處 籌備處等來有設立了嗎有設立了嗎 有成立了嗎 還是用說的籌備處本來就有了 是我們的常務制度
transcript.whisperx[26].start 619.338
transcript.whisperx[26].end 638.651
transcript.whisperx[26].text 我們新住民基本法在立法院通過之後我們的吳唐安吳長次就已經是籌備處在做執行秘書的工作但是我新聞裡面沒有看到所以呢我希望我們現在要的就是我看我是要的就是說設立一個專責機構
transcript.whisperx[27].start 641.293
transcript.whisperx[27].end 656.032
transcript.whisperx[27].text 是不是行政機構的法定的責任呢因為我們法律已經通過了是否就是在此向我們新住民向大家承諾三個月內三個月內我們內政部完成新住民發展圖的籌備規劃對外公開
transcript.whisperx[28].start 659.176
transcript.whisperx[28].end 663.699
transcript.whisperx[28].text 透明的有進度的我們想要的就是明確初步的組織草案或者紮構的設計但是我現在都沒有看到所以我們院長今天也在這邊也要幫新住民解決的問題而法律已經通過了政府必須依法行政新住民在台灣已經落實已經生根希望我們就在這邊
transcript.whisperx[29].start 685.851
transcript.whisperx[29].end 688.052
transcript.whisperx[29].text 不只是生活為了整個台灣參加社會還有說我們也是國家的重要的一份子我們是家人不是敵人也是因為這樣子的機關我們希望透過這樣子的可以為台灣
transcript.whisperx[30].start 704.243
transcript.whisperx[30].end 708.587
transcript.whisperx[30].text 去做一個連結做個溝通關於權益 語言 教育還有經濟的發展就業法律的等等我們希望我們是學以致用我們要求的就是可以在三個月內真的 真正的去成立一個籌備處我們要求的是新住民發展署但是已經九個月了
transcript.whisperx[31].start 730.506
transcript.whisperx[31].end 742.014
transcript.whisperx[31].text 從別處的開幕或者啟動都沒有我們也看不到你也沒有給我們所以呢你說你開會用什麼來開會用什麼部會來開會也是有限吧越開越不會就叫開會嗎對不對所以我們希望在
transcript.whisperx[32].start 751.4
transcript.whisperx[32].end 767.454
transcript.whisperx[32].text 這一筆預算裡面我們也沒有看到114年也沒有看到所以我們希望你真正的去編列也真正的讓大家各個公務人員他有職責的工作關於這個工作你要編列預算讓他們去執行
transcript.whisperx[33].start 768.635
transcript.whisperx[33].end 790.046
transcript.whisperx[33].text 你完全沒有編列又叫他們去做所以就看不到一個效果出來所以我們希望我們院長我們跟我們的部長我們兩位跟我們全國的新住民去承諾說我們是不是在三個月內這個籌備處正式啟動怎麼樣去執行我們再來共同來去努力好嗎報告委員
transcript.whisperx[34].start 796.169
transcript.whisperx[34].end 810.602
transcript.whisperx[34].text 行政院現在經費的結局 籌備處成立是不會舉行盛大的開幕典禮的這個從來沒有過啦他說 上次那個內政部長說的他說他會在籌備處要去成立但是沒有公開 但是什麼時候成立啊要有一個日期 有一個承諾吧
transcript.whisperx[35].start 819.329
transcript.whisperx[35].end 825.672
transcript.whisperx[35].text 有一個進度嘛,不然就是用講的啊,用講大家也會笑啊體育部的籌備處,妳也沒有參加過開幕典禮啊誰?體育部的籌備處也開始了,但是也沒有開幕典禮啊對啊沒有,是他說他會有開幕啊所以我們不管有沒有開幕,我要的是要有何時何日,哪一天
transcript.whisperx[36].start 843.622
transcript.whisperx[36].end 862.138
transcript.whisperx[36].text 是這樣而已 我們院長可以跟大家承諾嗎委員只是看不到內政部同仁在這裡的努力對新住民的權益各種他們已經研究了很多沒有否定他的努力才會去問他做了什麼嘛才要教他編列預算嘛所以這個籌備數他沒有成立又沒有編列預算什麼叫做否認啊你才是否認大家的努力我問你啊 我們2014年到現在已經四個月了
transcript.whisperx[37].start 870.72
transcript.whisperx[37].end 885.567
transcript.whisperx[37].text 所以大家 你說凍結預算所以大家在做什麼 吹冷氣吃便當嗎所以你否定大家的功勞啊對不對 大家都有在做事情所以我們要進度 要進度不是只是一個紙上糖冰好不好 我願意不要誣衊公務員好不好
transcript.whisperx[38].start 890.97
transcript.whisperx[38].end 899.575
transcript.whisperx[38].text 我沒有忽略啊 我講的是說大家的功勞叫你不要否定大家的功勞要該給的一算 該要編的要編但是我們沒有看到所以我是要要你明確一個日期嘛
transcript.whisperx[39].start 909.628
transcript.whisperx[39].end 937.022
transcript.whisperx[39].text 又做又做 每天都沒做 我這個月我也做有很多籌備署的委員在工作就到民國幾年也不知道就是因為了一件事情 是這樣嗎我們行政院的行政機構是這樣子嗎一件事情做到沒完沒了這樣子嗎沒有嘛 對不對 我們要明確的一個時間跟日期還有關於我們放棄國籍的部分我們也希望我們內政部長這一邊
transcript.whisperx[40].start 939.763
transcript.whisperx[40].end 959.648
transcript.whisperx[40].text 因為新住民他們不管外配還是外配一致同仁要放棄國籍像我們要放棄國籍才能領身分證若非要放棄那個國籍你們要求的不是他們要求的放棄了才能領身分證不要到最後再來跟大家爽戰
transcript.whisperx[41].start 982.417
transcript.whisperx[41].end 987.939
transcript.whisperx[41].text 我們要求公平平等一致同仁要求的是只有這樣子而已其他我們是很守本分的依法行政只要要求我們他進台灣一步我們就依法行政依政府的規定好 謝謝好 謝謝麥義貞委員子訊謝謝左院長 劉部長備詢 謝謝
transcript.whisperx[42].start 989.71
transcript.whisperx[42].end 991.257
transcript.whisperx[42].text 接下來請翁曉林委員