iVOD / 160232

Field Value
IVOD_ID 160232
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160232
日期 2025-04-16
會議資料.會議代碼 委員會-11-3-15-10
會議資料.會議代碼:str 第11屆第3會期內政委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 10
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第3會期內政委員會第10次全體委員會議
影片種類 Clip
開始時間 2025-04-16T10:58:29+08:00
結束時間 2025-04-16T11:09:47+08:00
影片長度 00:11:18
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f9d2e74df98279dff6cdca1932235a4203e1353dd96d4caaebda33721556222abe1ab5d36ae375a25ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 徐欣瑩
委員發言時間 10:58:29 - 11:09:47
會議時間 2025-04-16T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第10次全體委員會議(事由:邀請客家委員會主任委員率同所屬及財團法人客家公共傳播基金會董事長列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.04784375
transcript.pyannote[0].end 2.17409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 2.44409375
transcript.pyannote[1].end 3.10221875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 7.75971875
transcript.pyannote[2].end 11.40471875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 12.01221875
transcript.pyannote[3].end 20.36534375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 20.38221875
transcript.pyannote[4].end 24.06096875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 24.90471875
transcript.pyannote[5].end 34.69221875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 35.78909375
transcript.pyannote[6].end 39.97409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 39.97409375
transcript.pyannote[7].end 40.02471875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 40.02471875
transcript.pyannote[8].end 42.69096875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 40.26096875
transcript.pyannote[9].end 40.83471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 41.59409375
transcript.pyannote[10].end 42.10034375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 42.92721875
transcript.pyannote[11].end 46.96034375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 47.36534375
transcript.pyannote[12].end 49.93034375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 50.14971875
transcript.pyannote[13].end 50.68971875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 50.95971875
transcript.pyannote[14].end 52.96784375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 52.96784375
transcript.pyannote[15].end 53.05221875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 53.05221875
transcript.pyannote[16].end 53.96346875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 53.96346875
transcript.pyannote[17].end 57.43971875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 54.35159375
transcript.pyannote[18].end 55.98846875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 57.43971875
transcript.pyannote[19].end 68.96534375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 65.96159375
transcript.pyannote[20].end 72.69471875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 69.50534375
transcript.pyannote[21].end 69.79221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 70.58534375
transcript.pyannote[22].end 78.88784375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 72.94784375
transcript.pyannote[23].end 73.47096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 79.02284375
transcript.pyannote[24].end 80.99721875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 81.43596875
transcript.pyannote[25].end 91.67909375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 82.90409375
transcript.pyannote[26].end 83.44409375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 83.84909375
transcript.pyannote[27].end 84.69284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 91.10534375
transcript.pyannote[28].end 103.76159375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 92.99534375
transcript.pyannote[29].end 97.99034375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 99.22221875
transcript.pyannote[30].end 99.88034375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 101.77034375
transcript.pyannote[31].end 106.30971875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 106.96784375
transcript.pyannote[32].end 107.57534375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 108.94221875
transcript.pyannote[33].end 111.59159375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 111.89534375
transcript.pyannote[34].end 118.99971875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 115.40534375
transcript.pyannote[35].end 121.80096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 120.70409375
transcript.pyannote[36].end 127.62284375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 123.96096875
transcript.pyannote[37].end 127.69034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 127.69034375
transcript.pyannote[38].end 127.72409375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 127.72409375
transcript.pyannote[39].end 127.90971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 127.74096875
transcript.pyannote[40].end 127.79159375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 127.90971875
transcript.pyannote[41].end 127.92659375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 127.92659375
transcript.pyannote[42].end 128.06159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 128.06159375
transcript.pyannote[43].end 129.27659375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 129.27659375
transcript.pyannote[44].end 131.50409375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 129.36096875
transcript.pyannote[45].end 138.87846875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 138.87846875
transcript.pyannote[46].end 138.92909375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 138.92909375
transcript.pyannote[47].end 138.96284375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 138.96284375
transcript.pyannote[48].end 139.30034375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 139.30034375
transcript.pyannote[49].end 139.41846875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 139.41846875
transcript.pyannote[50].end 139.90784375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 139.90784375
transcript.pyannote[51].end 139.97534375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 139.97534375
transcript.pyannote[52].end 144.02534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 140.21159375
transcript.pyannote[53].end 143.72159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 144.02534375
transcript.pyannote[54].end 144.14346875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 144.14346875
transcript.pyannote[55].end 144.59909375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 144.59909375
transcript.pyannote[56].end 161.38971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 144.66659375
transcript.pyannote[57].end 145.89846875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 146.92784375
transcript.pyannote[58].end 147.16409375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 157.03596875
transcript.pyannote[59].end 158.38596875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 161.62596875
transcript.pyannote[60].end 174.65346875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 164.44409375
transcript.pyannote[61].end 164.61284375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 165.28784375
transcript.pyannote[62].end 166.06409375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 167.14409375
transcript.pyannote[63].end 168.56159375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 174.65346875
transcript.pyannote[64].end 174.90659375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 174.97409375
transcript.pyannote[65].end 177.15096875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 177.15096875
transcript.pyannote[66].end 179.76659375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 177.25221875
transcript.pyannote[67].end 178.43346875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 179.76659375
transcript.pyannote[68].end 189.25034375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 181.04909375
transcript.pyannote[69].end 181.67346875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 185.40284375
transcript.pyannote[70].end 186.49971875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 186.98909375
transcript.pyannote[71].end 188.59221875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 189.36846875
transcript.pyannote[72].end 196.54034375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 191.02221875
transcript.pyannote[73].end 191.73096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 196.54034375
transcript.pyannote[74].end 196.87784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 196.87784375
transcript.pyannote[75].end 196.94534375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 196.94534375
transcript.pyannote[76].end 196.96221875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 196.96221875
transcript.pyannote[77].end 197.02971875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 197.02971875
transcript.pyannote[78].end 197.29971875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 198.00846875
transcript.pyannote[79].end 198.10971875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 198.22784375
transcript.pyannote[80].end 198.27846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 198.27846875
transcript.pyannote[81].end 210.98534375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 203.30721875
transcript.pyannote[82].end 203.64471875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 213.38159375
transcript.pyannote[83].end 218.10659375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 218.22471875
transcript.pyannote[84].end 218.52846875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 218.52846875
transcript.pyannote[85].end 218.62971875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 218.62971875
transcript.pyannote[86].end 218.64659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 218.88284375
transcript.pyannote[87].end 224.23221875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 218.91659375
transcript.pyannote[88].end 223.59096875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 224.68784375
transcript.pyannote[89].end 234.27284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 231.16784375
transcript.pyannote[90].end 231.20159375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 234.93096875
transcript.pyannote[91].end 244.44846875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 244.85346875
transcript.pyannote[92].end 275.04284375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 275.19471875
transcript.pyannote[93].end 275.63346875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 276.27471875
transcript.pyannote[94].end 279.43034375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 280.13909375
transcript.pyannote[95].end 296.82846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 289.84221875
transcript.pyannote[96].end 290.04471875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 296.82846875
transcript.pyannote[97].end 302.81909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 298.11096875
transcript.pyannote[98].end 299.32596875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 302.63346875
transcript.pyannote[99].end 319.66034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 320.52096875
transcript.pyannote[100].end 352.70159375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 353.20784375
transcript.pyannote[101].end 381.35534375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 359.87346875
transcript.pyannote[102].end 360.37971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 381.72659375
transcript.pyannote[103].end 396.93096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 397.31909375
transcript.pyannote[104].end 401.68971875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 401.82471875
transcript.pyannote[105].end 403.54596875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 404.11971875
transcript.pyannote[106].end 406.43159375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 406.80284375
transcript.pyannote[107].end 427.55909375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 427.82909375
transcript.pyannote[108].end 441.93659375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 431.05221875
transcript.pyannote[109].end 431.59221875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 437.92034375
transcript.pyannote[110].end 438.51096875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 441.46409375
transcript.pyannote[111].end 441.86909375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 441.93659375
transcript.pyannote[112].end 453.52971875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 441.97034375
transcript.pyannote[113].end 442.76346875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 454.12034375
transcript.pyannote[114].end 459.03096875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 459.38534375
transcript.pyannote[115].end 463.43534375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 463.99221875
transcript.pyannote[116].end 511.51221875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 475.92284375
transcript.pyannote[117].end 477.77909375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 481.67721875
transcript.pyannote[118].end 482.28471875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 484.81596875
transcript.pyannote[119].end 486.06471875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 488.24159375
transcript.pyannote[120].end 489.25409375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 490.57034375
transcript.pyannote[121].end 491.90346875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 495.48096875
transcript.pyannote[122].end 496.91534375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 503.00721875
transcript.pyannote[123].end 507.05721875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 507.76596875
transcript.pyannote[124].end 509.99346875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 511.64721875
transcript.pyannote[125].end 518.11034375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 516.45659375
transcript.pyannote[126].end 518.07659375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 518.11034375
transcript.pyannote[127].end 518.27909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 518.27909375
transcript.pyannote[128].end 518.41409375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 518.41409375
transcript.pyannote[129].end 518.58284375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 518.58284375
transcript.pyannote[130].end 518.76846875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 518.76846875
transcript.pyannote[131].end 518.88659375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 518.88659375
transcript.pyannote[132].end 518.97096875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 518.97096875
transcript.pyannote[133].end 521.19846875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 519.46034375
transcript.pyannote[134].end 520.86096875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 521.19846875
transcript.pyannote[135].end 521.97471875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 521.97471875
transcript.pyannote[136].end 522.02534375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 522.02534375
transcript.pyannote[137].end 523.61159375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 522.93659375
transcript.pyannote[138].end 523.64534375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 523.64534375
transcript.pyannote[139].end 523.66221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 523.66221875
transcript.pyannote[140].end 523.69596875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 523.69596875
transcript.pyannote[141].end 523.96596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 523.96596875
transcript.pyannote[142].end 524.03346875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 524.03346875
transcript.pyannote[143].end 534.63096875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 526.88534375
transcript.pyannote[144].end 527.50971875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 534.73221875
transcript.pyannote[145].end 541.02659375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 542.17409375
transcript.pyannote[146].end 551.40471875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 551.69159375
transcript.pyannote[147].end 560.19659375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 560.77034375
transcript.pyannote[148].end 580.91909375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 580.46346875
transcript.pyannote[149].end 598.24971875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 582.20159375
transcript.pyannote[150].end 583.06221875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 590.03159375
transcript.pyannote[151].end 590.47034375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 594.06471875
transcript.pyannote[152].end 595.24596875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 595.49909375
transcript.pyannote[153].end 595.78596875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 598.24971875
transcript.pyannote[154].end 630.24471875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 607.88534375
transcript.pyannote[155].end 608.32409375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 625.06409375
transcript.pyannote[156].end 625.68846875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 628.52346875
transcript.pyannote[157].end 639.45846875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 636.91034375
transcript.pyannote[158].end 655.47284375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 643.35659375
transcript.pyannote[159].end 645.41534375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 647.08596875
transcript.pyannote[160].end 650.57909375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 655.99596875
transcript.pyannote[161].end 666.23909375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 660.88971875
transcript.pyannote[162].end 663.85971875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 664.60221875
transcript.pyannote[163].end 666.22221875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 666.23909375
transcript.pyannote[164].end 667.03221875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 667.03221875
transcript.pyannote[165].end 674.87909375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 669.93471875
transcript.pyannote[166].end 670.42409375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 675.97596875
transcript.pyannote[167].end 676.97159375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 676.97159375
transcript.pyannote[168].end 677.05596875
transcript.whisperx[0].start 0.349
transcript.whisperx[0].end 3.573
transcript.whisperx[0].text 主席,有請谷主委。好,請出席。主委好。你好。
transcript.whisperx[1].start 12.139
transcript.whisperx[1].end 29.851
transcript.whisperx[1].text 現在一個立法院小學堂的考試請秀第一張投影片我們去年在審查今年總預算的時候我們在內政委員會內政委員會的提案表
transcript.whisperx[2].start 36.231
transcript.whisperx[2].end 39.754
transcript.whisperx[2].text 主委他會等於是最後的決議嗎所以我在這裡凍結該項預算4億元最後改成怎麼樣
transcript.whisperx[3].start 51.002
transcript.whisperx[3].end 57.127
transcript.whisperx[3].text 現在的改組決議在報告中作出對立報告是作出對立,好那我想這個應該不是客委會刻意流出去給很多的網軍策略,不是嗎?沒有,沒有,沒有,現在應該會有更快的諮詢所以我今天這個
transcript.whisperx[4].start 73.741
transcript.whisperx[4].end 83.204
transcript.whisperx[4].text 立法院小學堂就是希望讓很多的年輕人關心立法院非常好但是要了解真相不要拿提案表
transcript.whisperx[5].start 88.706
transcript.whisperx[5].end 106.041
transcript.whisperx[5].text 就拿來說這個是決議好不好我先跟她說我先問她我先問她等一下要不要過去決議以前要出席 她跟妳說沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有沒有
transcript.whisperx[6].start 109.851
transcript.whisperx[6].end 136.806
transcript.whisperx[6].text 今年二月開始他拿的所以這早就改了啦可能因為他浪費我時間去嘛不是 還蠻改的部分啦他剛才怎麼說啦你用不安定喔 我在找他沒有啦我用不安定在推敲啦因為那時間有落差嘛那拿走的就是原始版啦那沒關係嘛 你現在澄清了嘛提案不等於決議嘛對 而且最後是改組決議只要報告 對不對
transcript.whisperx[7].start 138.507
transcript.whisperx[7].end 143.512
transcript.whisperx[7].text 結果結論是這樣結論是這樣,但是前前後後那先不美啊那再來講有意義嗎?譬如說今年2月、3月、4月到現在講凍結事宜有意義嗎?還是有意義,因為這是一個過程不是過程,它是一直講現在被凍結事宜喔,然後之後是3.6月後啊
transcript.whisperx[8].start 165.131
transcript.whisperx[8].end 171.176
transcript.whisperx[8].text 我現在在講這個案你浪費我很多時間我在講這個案你不要再去講到業務費我在講這個案有凍結事宜嗎最後的結論目前時候提報告提報告沒有凍結那你為什麼不講你就講一下沒有凍結我有凍結事宜嗎你現在再答覆我一次
transcript.whisperx[9].start 189.409
transcript.whisperx[9].end 192.672
transcript.whisperx[9].text 主決意就沒有動結的那個,你真的搞不懂,連你都搞不懂經同意後,使得動之
transcript.whisperx[10].start 213.407
transcript.whisperx[10].end 222.151
transcript.whisperx[10].text 沒有啦 凍結預算4億就劃掉啦所以沒有凍結 摸凍結 摸凍結你看 你知道主委 一個主委對這個提案都 你看 用了我三分多鐘了好 接下來 接下來 我想
transcript.whisperx[11].start 234.978
transcript.whisperx[11].end 244.106
transcript.whisperx[11].text 我們客語的傳承還有客家文化的傳承剛剛我們張宏祿召委講得非常好他有說錢要花在刀口上
transcript.whisperx[12].start 245.91
transcript.whisperx[12].end 267.151
transcript.whisperx[12].text 但是我們也非常肯定客核會長期以來做了很多客語推廣的努力包含網路有多元課程包含客語的認證辦了很多翻譯世界名著還有培訓了很多公開宣講員這個都做了很多沒錯但是我們看到的是這個數量就是
transcript.whisperx[13].start 269.973
transcript.whisperx[13].end 296.432
transcript.whisperx[13].text 這個成果用這樣子的量化可是輕忽了它的品質跟我們的最終的目的是要推廣客語所以客語它是一種語言就跟我們不管學台語還是學英語一樣那需要的是環境我想主委你認同吧你只要講認同不認同就是說語言它需要的是環境而且是盡量要融入在生活中您認同嗎
transcript.whisperx[14].start 296.872
transcript.whisperx[14].end 319.427
transcript.whisperx[14].text 我的念頭,我念頭,但是要反經,那不是一間人建立下來的對,我知道,當然當然,我沒有說,我沒有再往下講,還沒往下講啦所以呢,我們在這邊希望建議就是說,你量化的指標,是不是可以轉化成客語在日常生活中的使用
transcript.whisperx[15].start 320.989
transcript.whisperx[15].end 333.522
transcript.whisperx[15].text 就是說你們做了那麼多但是是不是接下來包括今年的預算開始使用的時候你要讓課宇怎麼樣可以真正在每個區塊每個區塊我們在每個區塊每個區塊你慢慢的從一個區塊譬如說南部
transcript.whisperx[16].start 341.69
transcript.whisperx[16].end 352.454
transcript.whisperx[16].text 南部他比較少客家莊但是有客家莊的地方客家人的地方你讓他一個區塊把讓這個客語可以慢慢的成為生活然後擴散就像我會哼人但是呢喉嚨會我會哼的詩啦但東東你哼什麼你會哼什麼啦
transcript.whisperx[17].start 360.837
transcript.whisperx[17].end 378.495
transcript.whisperx[17].text 所以我們應該讓這個克魚的這種生活上的應用更多還有包含我們這個這麼多量化的指標大家你在報告中也一直寫然後每年我們也花了很多的預算那我們有沒有促進跨世代的自然傳承
transcript.whisperx[18].start 379.116
transcript.whisperx[18].end 403.335
transcript.whisperx[18].text 也就是說要一代一代傳下去那還有就是說我們課語考試認證通過了那是否有代表他在市場在家庭在鄰里之間呢大家可以很自然的用課語來溝通甚至讓更多的人他可能不一定很會講但他已經都聽得懂課語或是可以聽得懂一半
transcript.whisperx[19].start 404.596
transcript.whisperx[19].end 427.274
transcript.whisperx[19].text 或者是他講得出幾句客語其實就像我對台語我都聽得懂然後我可以講部分我沒辦法講得很認真對台語但是我聽得懂我可以跟人家溝通那我要講的話我就講幾句我還可以叫我全部講我又沒辦法所以我們的客語可不可以朝向這方面我們來推廣的好一點
transcript.whisperx[20].start 428.344
transcript.whisperx[20].end 436.967
transcript.whisperx[20].text 當然圖羅維研所說的沒有錯,其實我們說的額度要罰錢,我妹妹預算不拿所以他又一點錢又散了你一直要強調這個經費,那我覺得我們現在在談預算很多人談預算的人他沒有關心你真正課宇的傳承
transcript.whisperx[21].start 454.201
transcript.whisperx[21].end 478.478
transcript.whisperx[21].text 所以主委你不要落入那個我們客家人我們都是客家人其實所有的政治人物包括所有的這些網軍側翼他要來喊喊喊喊到最後我們自己客家人要知道我的客語是不是真的在地方有推廣是不是在台灣客語跟客家文化是保存下來的怎麼說啊怎麼說啊 同山勾腿灣啦齁沒搬兩千啦什麼三萬
transcript.whisperx[22].start 483.241
transcript.whisperx[22].end 509.075
transcript.whisperx[22].text 岡山岡天啦所以因為他剛剛的進行時期三萬打平啦沒辦兩千啦走得一直傳承下來所以客委會的預算客委會預算每年也增加所以不要老是用這種意識形態好不好我現在講不然你生命有什麼用不然你生命有什麼用不然你生命有什麼用不然你生命有什麼用不然你生命有什麼用不然你生命有什麼用不然你生命有什麼用
transcript.whisperx[23].start 511.796
transcript.whisperx[23].end 520.58
transcript.whisperx[23].text 我們現在課餘 我們花了那麼多錢我們要知道 陸續要喊不勞拜 永遠不夠啦不勞拜 因為你那個負責人 過困難 你會困難你們在報告裡面 你要發客家幣客家幣 你要發一千塊 發四十萬人 等於花四億
transcript.whisperx[24].start 542.25
transcript.whisperx[24].end 559.864
transcript.whisperx[24].text 人家文化幣文化幣是給年輕人的成人禮客家幣發給18到20歲的年輕人你這是什麼理由我沒有反對我應該先講我支持客家預算但是我更支持是我們所有的預算
transcript.whisperx[25].start 560.845
transcript.whisperx[25].end 580.2
transcript.whisperx[25].text 假設別人有更好的成果比你用少的錢或用跟你一樣的錢他有更好的成果你不要一直喊我錢要多然後都不去看成果我們要強調的是你成果要出來所以你花這個4億的客家幣你先說這個是什麼禮人家文化幣是成年禮你是什麼禮
transcript.whisperx[26].start 580.52
transcript.whisperx[26].end 580.92
transcript.whisperx[26].text 通過特意認證的你不要給他抽籤
transcript.whisperx[27].start 603.104
transcript.whisperx[27].end 627.84
transcript.whisperx[27].text 通過客語認證你就每個人發他一千塊我建議這第一個第二個預計發放四十萬客家幣你卻只有預估三十二萬人前往客庄人家發一千塊一個人就會帶一家人或帶兩三個朋友前往你發了四十萬客家幣一人一千四十萬人結果只預計三十二人次前往
transcript.whisperx[28].start 628.32
transcript.whisperx[28].end 630.781
transcript.whisperx[28].text 我們要看有限的錢我們怎麼做得最好但是我全力支持客家預算好不好你現在你就說嘛我給你4億發客家幣
transcript.whisperx[29].start 656.087
transcript.whisperx[29].end 673.119
transcript.whisperx[29].text 你既然40萬人,你只預計32萬人前往,這不太誇張了報告裡寫的啊,本案估計帶動你預估就估太少了啦,我知道,你前面浪費了我很多時間,謝謝