iVOD / 167815

Field Value
IVOD_ID 167815
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167815
日期 2026-03-24
會議資料.會議代碼 院會-11-5-4
會議資料.會議代碼:str 第11屆第5會期第4次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 4
會議資料.種類 院會
會議資料.標題 第11屆第5會期第4次會議
影片種類 Clip
開始時間 2026-03-24T15:18:41+08:00
結束時間 2026-03-24T15:49:30+08:00
影片長度 00:30:49
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e45a85cfecfeae923e9906c1d8f85065909f2e94215b2814abcb3f80422748925de5def0959499e85ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃建賓
委員發言時間 15:18:41 - 15:49:30
會議時間 2026-03-24T09:00:00+08:00
會議名稱 第11屆第5會期第4次會議(事由:一、討論事項:本院台灣民眾黨黨團,建請院會作成決議:「對本院內政委員會召集委員李柏毅115年3月16日主持會議時之行為提出最嚴厲之譴責,並將李柏毅委員移送紀律委員會。嚴正要求民進黨政府:停止踐踏中華民國的民主與法治,停止對陸配與新住民的歧視、打壓與追殺。」是否有當?請公決案等2案。(3月20日)二、對行政院院長提出施政方針及施政報告繼續質詢。三、3月20日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 3.16971875
transcript.pyannote[0].end 4.26659375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 11.70846875
transcript.pyannote[1].end 14.83034375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 15.11721875
transcript.pyannote[2].end 16.51784375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 16.82159375
transcript.pyannote[3].end 18.66096875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 29.39346875
transcript.pyannote[4].end 30.05159375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 30.45659375
transcript.pyannote[5].end 30.49034375
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 30.49034375
transcript.pyannote[6].end 30.94596875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 30.74346875
transcript.pyannote[7].end 31.78971875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 32.83596875
transcript.pyannote[8].end 36.07596875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 36.24471875
transcript.pyannote[9].end 37.32471875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 37.57784375
transcript.pyannote[10].end 40.58159375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 40.96971875
transcript.pyannote[11].end 43.56846875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 43.83846875
transcript.pyannote[12].end 46.55534375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 46.75784375
transcript.pyannote[13].end 48.36096875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 48.56346875
transcript.pyannote[14].end 51.82034375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 52.20846875
transcript.pyannote[15].end 53.94659375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 54.13221875
transcript.pyannote[16].end 56.22471875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 56.66346875
transcript.pyannote[17].end 62.14784375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 62.53596875
transcript.pyannote[18].end 66.83909375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 67.26096875
transcript.pyannote[19].end 70.16346875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 70.51784375
transcript.pyannote[20].end 74.56784375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 75.00659375
transcript.pyannote[21].end 78.44909375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 78.92159375
transcript.pyannote[22].end 79.49534375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 79.86659375
transcript.pyannote[23].end 83.47784375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 83.88284375
transcript.pyannote[24].end 88.25346875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 88.62471875
transcript.pyannote[25].end 90.31221875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 90.54846875
transcript.pyannote[26].end 91.25721875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 91.57784375
transcript.pyannote[27].end 93.04596875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 93.23159375
transcript.pyannote[28].end 94.88534375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 95.25659375
transcript.pyannote[29].end 96.89346875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 97.11284375
transcript.pyannote[30].end 100.80846875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 102.27659375
transcript.pyannote[31].end 102.93471875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 103.18784375
transcript.pyannote[32].end 105.66846875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 106.07346875
transcript.pyannote[33].end 108.19971875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 108.70596875
transcript.pyannote[34].end 110.54534375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 110.79846875
transcript.pyannote[35].end 112.87409375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 113.39721875
transcript.pyannote[36].end 119.01659375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 119.23596875
transcript.pyannote[37].end 120.48471875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 120.97409375
transcript.pyannote[38].end 123.45471875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 123.50534375
transcript.pyannote[39].end 130.57596875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 130.91346875
transcript.pyannote[40].end 134.44034375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 135.25034375
transcript.pyannote[41].end 138.67596875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 139.46909375
transcript.pyannote[42].end 143.50221875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 143.51909375
transcript.pyannote[43].end 143.55284375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 143.55284375
transcript.pyannote[44].end 180.88034375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 180.35721875
transcript.pyannote[45].end 187.36034375
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 181.96034375
transcript.pyannote[46].end 182.58471875
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 184.72784375
transcript.pyannote[47].end 185.06534375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 187.81596875
transcript.pyannote[48].end 192.74346875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 192.92909375
transcript.pyannote[49].end 195.32534375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 195.62909375
transcript.pyannote[50].end 196.23659375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 196.40534375
transcript.pyannote[51].end 198.63284375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 199.59471875
transcript.pyannote[52].end 209.90534375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 210.24284375
transcript.pyannote[53].end 213.80346875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 214.20846875
transcript.pyannote[54].end 221.26221875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 221.93721875
transcript.pyannote[55].end 225.51471875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 225.75096875
transcript.pyannote[56].end 230.45909375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 230.47596875
transcript.pyannote[57].end 235.20096875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 235.48784375
transcript.pyannote[58].end 237.44534375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 237.85034375
transcript.pyannote[59].end 239.48721875
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 239.48721875
transcript.pyannote[60].end 240.92159375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 240.92159375
transcript.pyannote[61].end 240.97221875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 240.97221875
transcript.pyannote[62].end 244.81971875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 244.95471875
transcript.pyannote[63].end 262.43721875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 247.48596875
transcript.pyannote[64].end 248.14409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 248.14409375
transcript.pyannote[65].end 248.16096875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 259.16346875
transcript.pyannote[66].end 261.28971875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 262.52159375
transcript.pyannote[67].end 264.10784375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 264.25971875
transcript.pyannote[68].end 268.02284375
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 268.09034375
transcript.pyannote[69].end 268.49534375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 268.37721875
transcript.pyannote[70].end 270.41909375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 271.36409375
transcript.pyannote[71].end 280.71284375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 281.64096875
transcript.pyannote[72].end 282.13034375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 282.38346875
transcript.pyannote[73].end 282.94034375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 283.22721875
transcript.pyannote[74].end 283.93596875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 284.64471875
transcript.pyannote[75].end 286.75409375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 287.83409375
transcript.pyannote[76].end 290.38221875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 290.65221875
transcript.pyannote[77].end 293.20034375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 293.58846875
transcript.pyannote[78].end 294.01034375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 294.12846875
transcript.pyannote[79].end 295.74846875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 296.00159375
transcript.pyannote[80].end 305.06346875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 296.94659375
transcript.pyannote[81].end 297.70596875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 297.84096875
transcript.pyannote[82].end 297.94221875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 305.41784375
transcript.pyannote[83].end 305.60346875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 305.60346875
transcript.pyannote[84].end 310.64909375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 305.75534375
transcript.pyannote[85].end 305.77221875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 305.78909375
transcript.pyannote[86].end 305.80596875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 309.01221875
transcript.pyannote[87].end 309.61971875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 310.64909375
transcript.pyannote[88].end 311.37471875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 310.95284375
transcript.pyannote[89].end 318.66471875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 318.05721875
transcript.pyannote[90].end 321.33096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 319.84596875
transcript.pyannote[91].end 330.44346875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 324.84096875
transcript.pyannote[92].end 324.87471875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 324.92534375
transcript.pyannote[93].end 324.94221875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 330.25784375
transcript.pyannote[94].end 336.77159375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 337.05846875
transcript.pyannote[95].end 339.40409375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 339.82596875
transcript.pyannote[96].end 345.44534375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 346.20471875
transcript.pyannote[97].end 347.08221875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 347.08221875
transcript.pyannote[98].end 347.11596875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 347.52096875
transcript.pyannote[99].end 348.48284375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 348.48284375
transcript.pyannote[100].end 348.55034375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 348.70221875
transcript.pyannote[101].end 348.75284375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 348.75284375
transcript.pyannote[102].end 348.97221875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 348.97221875
transcript.pyannote[103].end 349.09034375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 349.46159375
transcript.pyannote[104].end 355.06409375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 355.31721875
transcript.pyannote[105].end 360.48096875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 360.73409375
transcript.pyannote[106].end 363.48471875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 363.85596875
transcript.pyannote[107].end 370.58909375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 365.99909375
transcript.pyannote[108].end 366.37034375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 369.72846875
transcript.pyannote[109].end 372.68159375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 372.98534375
transcript.pyannote[110].end 381.37221875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 376.42784375
transcript.pyannote[111].end 376.78221875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 381.65909375
transcript.pyannote[112].end 383.97096875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 384.40971875
transcript.pyannote[113].end 387.58221875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 387.70034375
transcript.pyannote[114].end 389.35409375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 389.97846875
transcript.pyannote[115].end 393.08346875
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 393.57284375
transcript.pyannote[116].end 395.74971875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 396.30659375
transcript.pyannote[117].end 398.66909375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 399.59721875
transcript.pyannote[118].end 401.48721875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 401.60534375
transcript.pyannote[119].end 408.01784375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 408.16971875
transcript.pyannote[120].end 411.49409375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 411.93284375
transcript.pyannote[121].end 412.89471875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 413.04659375
transcript.pyannote[122].end 433.76909375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 432.65534375
transcript.pyannote[123].end 455.90909375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 455.99346875
transcript.pyannote[124].end 479.70284375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 456.17909375
transcript.pyannote[125].end 456.56721875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 480.22596875
transcript.pyannote[126].end 486.50346875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 486.84096875
transcript.pyannote[127].end 487.44846875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 488.35971875
transcript.pyannote[128].end 492.27471875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 492.44346875
transcript.pyannote[129].end 496.96596875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 497.25284375
transcript.pyannote[130].end 501.20159375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 501.57284375
transcript.pyannote[131].end 502.56846875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 503.15909375
transcript.pyannote[132].end 505.21784375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 505.60596875
transcript.pyannote[133].end 507.49596875
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 508.18784375
transcript.pyannote[134].end 509.63909375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 509.97659375
transcript.pyannote[135].end 511.14096875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 511.51221875
transcript.pyannote[136].end 513.87471875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 513.97596875
transcript.pyannote[137].end 530.46284375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 530.46284375
transcript.pyannote[138].end 530.73284375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 530.73284375
transcript.pyannote[139].end 530.96909375
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 530.96909375
transcript.pyannote[140].end 542.03909375
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 542.10659375
transcript.pyannote[141].end 546.49409375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 546.69659375
transcript.pyannote[142].end 548.90721875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 549.49784375
transcript.pyannote[143].end 550.76346875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 551.33721875
transcript.pyannote[144].end 553.51409375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 553.66596875
transcript.pyannote[145].end 557.59784375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 558.08721875
transcript.pyannote[146].end 565.96784375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 566.33909375
transcript.pyannote[147].end 574.82721875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 575.48534375
transcript.pyannote[148].end 578.45534375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 578.70846875
transcript.pyannote[149].end 581.86409375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 582.04971875
transcript.pyannote[150].end 583.90596875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 584.19284375
transcript.pyannote[151].end 585.98159375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 586.33596875
transcript.pyannote[152].end 593.30534375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 593.57534375
transcript.pyannote[153].end 595.70159375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 595.71846875
transcript.pyannote[154].end 608.74596875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 609.01596875
transcript.pyannote[155].end 610.19721875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 610.36596875
transcript.pyannote[156].end 611.78346875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 612.39096875
transcript.pyannote[157].end 613.20096875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 613.72409375
transcript.pyannote[158].end 616.82909375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 617.08221875
transcript.pyannote[159].end 618.93846875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 619.05659375
transcript.pyannote[160].end 620.42346875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 620.50784375
transcript.pyannote[161].end 621.53721875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 621.73971875
transcript.pyannote[162].end 632.94471875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 627.83159375
transcript.pyannote[163].end 629.50221875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 630.70034375
transcript.pyannote[164].end 632.53971875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 632.94471875
transcript.pyannote[165].end 637.82159375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 637.92284375
transcript.pyannote[166].end 642.64784375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 643.47471875
transcript.pyannote[167].end 646.34346875
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 646.34346875
transcript.pyannote[168].end 682.03409375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 664.16346875
transcript.pyannote[169].end 664.82159375
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 682.03409375
transcript.pyannote[170].end 690.75846875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 691.11284375
transcript.pyannote[171].end 692.85096875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 693.15471875
transcript.pyannote[172].end 705.57471875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 705.82784375
transcript.pyannote[173].end 721.03221875
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 721.03221875
transcript.pyannote[174].end 721.04909375
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 721.15034375
transcript.pyannote[175].end 721.20096875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 721.20096875
transcript.pyannote[176].end 721.21784375
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 721.21784375
transcript.pyannote[177].end 722.16284375
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 722.82096875
transcript.pyannote[178].end 727.57971875
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 727.93409375
transcript.pyannote[179].end 730.39784375
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 730.68471875
transcript.pyannote[180].end 732.00096875
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 732.18659375
transcript.pyannote[181].end 735.57846875
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 735.98346875
transcript.pyannote[182].end 738.53159375
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 738.81846875
transcript.pyannote[183].end 745.93971875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 746.27721875
transcript.pyannote[184].end 754.61346875
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 754.81596875
transcript.pyannote[185].end 758.91659375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 759.11909375
transcript.pyannote[186].end 770.93159375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 770.27346875
transcript.pyannote[187].end 784.21221875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 782.20409375
transcript.pyannote[188].end 782.52471875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 784.49909375
transcript.pyannote[189].end 786.10221875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 786.33846875
transcript.pyannote[190].end 787.03034375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 787.50284375
transcript.pyannote[191].end 796.09221875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 796.66596875
transcript.pyannote[192].end 797.18909375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 797.29034375
transcript.pyannote[193].end 818.68784375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 819.04221875
transcript.pyannote[194].end 821.38784375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 821.64096875
transcript.pyannote[195].end 825.06659375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 825.42096875
transcript.pyannote[196].end 827.91846875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 828.39096875
transcript.pyannote[197].end 829.06596875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 829.53846875
transcript.pyannote[198].end 830.48346875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 830.60159375
transcript.pyannote[199].end 833.43659375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 833.72346875
transcript.pyannote[200].end 835.47846875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 835.74846875
transcript.pyannote[201].end 837.73971875
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 837.87471875
transcript.pyannote[202].end 838.12784375
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 838.39784375
transcript.pyannote[203].end 849.18096875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 849.18096875
transcript.pyannote[204].end 867.03471875
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 867.03471875
transcript.pyannote[205].end 867.27096875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 867.13596875
transcript.pyannote[206].end 871.08471875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 871.35471875
transcript.pyannote[207].end 875.16846875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 875.32034375
transcript.pyannote[208].end 880.46721875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 881.00721875
transcript.pyannote[209].end 887.16659375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 887.36909375
transcript.pyannote[210].end 888.09471875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 888.71909375
transcript.pyannote[211].end 890.06909375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 890.23784375
transcript.pyannote[212].end 896.04284375
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 896.26221875
transcript.pyannote[213].end 900.86909375
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 901.52721875
transcript.pyannote[214].end 902.74221875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 912.36096875
transcript.pyannote[215].end 913.05284375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 914.04846875
transcript.pyannote[216].end 920.03909375
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 920.44409375
transcript.pyannote[217].end 920.96721875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 921.13596875
transcript.pyannote[218].end 927.10971875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 927.34596875
transcript.pyannote[219].end 933.84284375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 934.66971875
transcript.pyannote[220].end 945.82409375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 946.41471875
transcript.pyannote[221].end 950.49846875
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 950.95409375
transcript.pyannote[222].end 958.02471875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 958.95284375
transcript.pyannote[223].end 961.41659375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 962.80034375
transcript.pyannote[224].end 979.57409375
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 972.31784375
transcript.pyannote[225].end 972.97596875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 972.97596875
transcript.pyannote[226].end 974.54534375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 979.91159375
transcript.pyannote[227].end 983.79284375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 981.37971875
transcript.pyannote[228].end 988.50096875
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 988.87221875
transcript.pyannote[229].end 991.36971875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 992.26409375
transcript.pyannote[230].end 995.80784375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 996.31409375
transcript.pyannote[231].end 1020.04034375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 1020.09096875
transcript.pyannote[232].end 1027.48221875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 1027.90409375
transcript.pyannote[233].end 1033.69221875
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 1034.16471875
transcript.pyannote[234].end 1035.81846875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 1036.02096875
transcript.pyannote[235].end 1036.03784375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 1036.05471875
transcript.pyannote[236].end 1045.38659375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 1046.43284375
transcript.pyannote[237].end 1051.61346875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 1051.95096875
transcript.pyannote[238].end 1054.00971875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 1054.39784375
transcript.pyannote[239].end 1058.93721875
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 1059.22409375
transcript.pyannote[240].end 1067.20596875
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 1067.52659375
transcript.pyannote[241].end 1067.83034375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 1068.48846875
transcript.pyannote[242].end 1071.20534375
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 1071.30659375
transcript.pyannote[243].end 1073.43284375
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 1073.65221875
transcript.pyannote[244].end 1099.15034375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 1100.04471875
transcript.pyannote[245].end 1101.44534375
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 1101.74909375
transcript.pyannote[246].end 1102.27221875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 1102.47471875
transcript.pyannote[247].end 1104.66846875
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 1105.19159375
transcript.pyannote[248].end 1108.09409375
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 1108.22909375
transcript.pyannote[249].end 1109.42721875
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 1110.08534375
transcript.pyannote[250].end 1112.61659375
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 1113.15659375
transcript.pyannote[251].end 1116.81846875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 1117.27409375
transcript.pyannote[252].end 1120.31159375
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 1120.63221875
transcript.pyannote[253].end 1122.47159375
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 1122.58971875
transcript.pyannote[254].end 1123.97346875
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 1124.19284375
transcript.pyannote[255].end 1141.59096875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 1141.96221875
transcript.pyannote[256].end 1144.56096875
transcript.pyannote[257].speaker SPEAKER_03
transcript.pyannote[257].start 1144.81409375
transcript.pyannote[257].end 1145.08409375
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 1145.50596875
transcript.pyannote[258].end 1146.38346875
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 1146.41721875
transcript.pyannote[259].end 1150.50096875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 1150.63596875
transcript.pyannote[260].end 1151.80034375
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 1151.95221875
transcript.pyannote[261].end 1159.49534375
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 1159.93409375
transcript.pyannote[262].end 1161.16596875
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 1161.80721875
transcript.pyannote[263].end 1169.29971875
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 1169.46846875
transcript.pyannote[264].end 1186.29284375
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 1186.51221875
transcript.pyannote[265].end 1189.49909375
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 1189.88721875
transcript.pyannote[266].end 1191.30471875
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 1191.57471875
transcript.pyannote[267].end 1194.03846875
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 1194.49409375
transcript.pyannote[268].end 1206.42471875
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 1206.59346875
transcript.pyannote[269].end 1207.85909375
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 1207.99409375
transcript.pyannote[270].end 1211.16659375
transcript.pyannote[271].speaker SPEAKER_03
transcript.pyannote[271].start 1212.75284375
transcript.pyannote[271].end 1213.39409375
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 1213.81596875
transcript.pyannote[272].end 1220.02596875
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 1220.41409375
transcript.pyannote[273].end 1221.40971875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 1222.97909375
transcript.pyannote[274].end 1223.97471875
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 1224.17721875
transcript.pyannote[275].end 1227.61971875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 1227.87284375
transcript.pyannote[276].end 1229.30721875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 1229.93159375
transcript.pyannote[277].end 1230.77534375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 1231.02846875
transcript.pyannote[278].end 1233.03659375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 1233.47534375
transcript.pyannote[279].end 1237.40721875
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 1237.96409375
transcript.pyannote[280].end 1241.13659375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 1241.74409375
transcript.pyannote[281].end 1242.30096875
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 1242.63846875
transcript.pyannote[282].end 1245.65909375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 1245.84471875
transcript.pyannote[283].end 1248.69659375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 1248.98346875
transcript.pyannote[284].end 1259.73284375
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 1259.76659375
transcript.pyannote[285].end 1263.61409375
transcript.pyannote[286].speaker SPEAKER_03
transcript.pyannote[286].start 1263.00659375
transcript.pyannote[286].end 1263.78284375
transcript.pyannote[287].speaker SPEAKER_03
transcript.pyannote[287].start 1263.88409375
transcript.pyannote[287].end 1268.96346875
transcript.pyannote[288].speaker SPEAKER_03
transcript.pyannote[288].start 1270.41471875
transcript.pyannote[288].end 1286.88471875
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 1287.49221875
transcript.pyannote[289].end 1294.22534375
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 1294.49534375
transcript.pyannote[290].end 1294.84971875
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 1295.49096875
transcript.pyannote[291].end 1297.71846875
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 1298.00534375
transcript.pyannote[292].end 1302.24096875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 1303.43909375
transcript.pyannote[293].end 1304.72159375
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 1305.10971875
transcript.pyannote[294].end 1306.02096875
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 1306.35846875
transcript.pyannote[295].end 1321.30971875
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 1319.97659375
transcript.pyannote[296].end 1320.02721875
transcript.pyannote[297].speaker SPEAKER_03
transcript.pyannote[297].start 1321.66409375
transcript.pyannote[297].end 1323.13221875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 1323.79034375
transcript.pyannote[298].end 1323.82409375
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 1323.82409375
transcript.pyannote[299].end 1323.85784375
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 1323.85784375
transcript.pyannote[300].end 1340.46284375
transcript.pyannote[301].speaker SPEAKER_03
transcript.pyannote[301].start 1323.92534375
transcript.pyannote[301].end 1324.56659375
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 1339.78784375
transcript.pyannote[302].end 1344.02346875
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 1344.39471875
transcript.pyannote[303].end 1345.01909375
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 1346.35221875
transcript.pyannote[304].end 1348.24221875
transcript.pyannote[305].speaker SPEAKER_03
transcript.pyannote[305].start 1348.57971875
transcript.pyannote[305].end 1351.93784375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 1351.12784375
transcript.pyannote[306].end 1351.71846875
transcript.pyannote[307].speaker SPEAKER_03
transcript.pyannote[307].start 1353.03471875
transcript.pyannote[307].end 1357.59096875
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 1358.58659375
transcript.pyannote[308].end 1359.90284375
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 1377.23346875
transcript.pyannote[309].end 1377.75659375
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 1378.04346875
transcript.pyannote[310].end 1380.82784375
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 1380.94596875
transcript.pyannote[311].end 1393.87221875
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 1394.37846875
transcript.pyannote[312].end 1401.16221875
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 1401.46596875
transcript.pyannote[313].end 1404.82409375
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 1404.92534375
transcript.pyannote[314].end 1407.55784375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 1407.79409375
transcript.pyannote[315].end 1408.55346875
transcript.pyannote[316].speaker SPEAKER_03
transcript.pyannote[316].start 1409.04284375
transcript.pyannote[316].end 1410.57846875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 1410.78096875
transcript.pyannote[317].end 1411.18596875
transcript.pyannote[318].speaker SPEAKER_03
transcript.pyannote[318].start 1411.45596875
transcript.pyannote[318].end 1415.32034375
transcript.pyannote[319].speaker SPEAKER_03
transcript.pyannote[319].start 1415.40471875
transcript.pyannote[319].end 1415.82659375
transcript.pyannote[320].speaker SPEAKER_03
transcript.pyannote[320].start 1416.41721875
transcript.pyannote[320].end 1416.77159375
transcript.pyannote[321].speaker SPEAKER_03
transcript.pyannote[321].start 1417.44659375
transcript.pyannote[321].end 1423.06596875
transcript.pyannote[322].speaker SPEAKER_03
transcript.pyannote[322].start 1423.13346875
transcript.pyannote[322].end 1428.04409375
transcript.pyannote[323].speaker SPEAKER_03
transcript.pyannote[323].start 1428.60096875
transcript.pyannote[323].end 1442.33721875
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 1442.45534375
transcript.pyannote[324].end 1444.44659375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 1444.61534375
transcript.pyannote[325].end 1446.33659375
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 1446.74159375
transcript.pyannote[326].end 1455.41534375
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 1456.05659375
transcript.pyannote[327].end 1532.17971875
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 1524.41721875
transcript.pyannote[328].end 1524.72096875
transcript.pyannote[329].speaker SPEAKER_03
transcript.pyannote[329].start 1526.00346875
transcript.pyannote[329].end 1526.81346875
transcript.pyannote[330].speaker SPEAKER_03
transcript.pyannote[330].start 1531.04909375
transcript.pyannote[330].end 1531.28534375
transcript.pyannote[331].speaker SPEAKER_03
transcript.pyannote[331].start 1532.28096875
transcript.pyannote[331].end 1566.40221875
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 1566.73971875
transcript.pyannote[332].end 1567.66784375
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 1567.71846875
transcript.pyannote[333].end 1568.20784375
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 1569.43971875
transcript.pyannote[334].end 1571.17784375
transcript.pyannote[335].speaker SPEAKER_02
transcript.pyannote[335].start 1571.56596875
transcript.pyannote[335].end 1572.56159375
transcript.pyannote[336].speaker SPEAKER_02
transcript.pyannote[336].start 1572.57846875
transcript.pyannote[336].end 1573.92846875
transcript.pyannote[337].speaker SPEAKER_02
transcript.pyannote[337].start 1574.18159375
transcript.pyannote[337].end 1577.55659375
transcript.pyannote[338].speaker SPEAKER_02
transcript.pyannote[338].start 1577.86034375
transcript.pyannote[338].end 1581.21846875
transcript.pyannote[339].speaker SPEAKER_02
transcript.pyannote[339].start 1581.40409375
transcript.pyannote[339].end 1585.62284375
transcript.pyannote[340].speaker SPEAKER_02
transcript.pyannote[340].start 1585.82534375
transcript.pyannote[340].end 1588.08659375
transcript.pyannote[341].speaker SPEAKER_02
transcript.pyannote[341].start 1588.49159375
transcript.pyannote[341].end 1589.47034375
transcript.pyannote[342].speaker SPEAKER_02
transcript.pyannote[342].start 1589.72346875
transcript.pyannote[342].end 1591.81596875
transcript.pyannote[343].speaker SPEAKER_02
transcript.pyannote[343].start 1593.09846875
transcript.pyannote[343].end 1599.03846875
transcript.pyannote[344].speaker SPEAKER_02
transcript.pyannote[344].start 1599.73034375
transcript.pyannote[344].end 1602.26159375
transcript.pyannote[345].speaker SPEAKER_02
transcript.pyannote[345].start 1602.43034375
transcript.pyannote[345].end 1603.44284375
transcript.pyannote[346].speaker SPEAKER_02
transcript.pyannote[346].start 1603.49346875
transcript.pyannote[346].end 1605.70409375
transcript.pyannote[347].speaker SPEAKER_02
transcript.pyannote[347].start 1605.73784375
transcript.pyannote[347].end 1606.63221875
transcript.pyannote[348].speaker SPEAKER_02
transcript.pyannote[348].start 1606.73346875
transcript.pyannote[348].end 1610.98596875
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 1611.40784375
transcript.pyannote[349].end 1612.50471875
transcript.pyannote[350].speaker SPEAKER_02
transcript.pyannote[350].start 1612.62284375
transcript.pyannote[350].end 1619.40659375
transcript.pyannote[351].speaker SPEAKER_03
transcript.pyannote[351].start 1619.47409375
transcript.pyannote[351].end 1626.42659375
transcript.pyannote[352].speaker SPEAKER_03
transcript.pyannote[352].start 1626.62909375
transcript.pyannote[352].end 1638.94784375
transcript.pyannote[353].speaker SPEAKER_04
transcript.pyannote[353].start 1639.25159375
transcript.pyannote[353].end 1641.51284375
transcript.pyannote[354].speaker SPEAKER_03
transcript.pyannote[354].start 1645.41096875
transcript.pyannote[354].end 1649.61284375
transcript.pyannote[355].speaker SPEAKER_03
transcript.pyannote[355].start 1650.72659375
transcript.pyannote[355].end 1651.30034375
transcript.pyannote[356].speaker SPEAKER_03
transcript.pyannote[356].start 1651.95846875
transcript.pyannote[356].end 1656.02534375
transcript.pyannote[357].speaker SPEAKER_03
transcript.pyannote[357].start 1656.22784375
transcript.pyannote[357].end 1665.12096875
transcript.pyannote[358].speaker SPEAKER_03
transcript.pyannote[358].start 1665.52596875
transcript.pyannote[358].end 1669.20471875
transcript.pyannote[359].speaker SPEAKER_03
transcript.pyannote[359].start 1669.47471875
transcript.pyannote[359].end 1670.99346875
transcript.pyannote[360].speaker SPEAKER_03
transcript.pyannote[360].start 1671.21284375
transcript.pyannote[360].end 1672.98471875
transcript.pyannote[361].speaker SPEAKER_03
transcript.pyannote[361].start 1673.18721875
transcript.pyannote[361].end 1688.44221875
transcript.pyannote[362].speaker SPEAKER_03
transcript.pyannote[362].start 1689.94409375
transcript.pyannote[362].end 1696.47471875
transcript.pyannote[363].speaker SPEAKER_03
transcript.pyannote[363].start 1696.96409375
transcript.pyannote[363].end 1697.62221875
transcript.pyannote[364].speaker SPEAKER_03
transcript.pyannote[364].start 1698.02721875
transcript.pyannote[364].end 1699.56284375
transcript.pyannote[365].speaker SPEAKER_03
transcript.pyannote[365].start 1700.08596875
transcript.pyannote[365].end 1706.73471875
transcript.pyannote[366].speaker SPEAKER_02
transcript.pyannote[366].start 1703.95034375
transcript.pyannote[366].end 1703.96721875
transcript.pyannote[367].speaker SPEAKER_03
transcript.pyannote[367].start 1707.05534375
transcript.pyannote[367].end 1709.41784375
transcript.pyannote[368].speaker SPEAKER_03
transcript.pyannote[368].start 1709.65409375
transcript.pyannote[368].end 1730.22471875
transcript.pyannote[369].speaker SPEAKER_03
transcript.pyannote[369].start 1730.61284375
transcript.pyannote[369].end 1734.73034375
transcript.pyannote[370].speaker SPEAKER_03
transcript.pyannote[370].start 1734.81471875
transcript.pyannote[370].end 1739.28659375
transcript.pyannote[371].speaker SPEAKER_03
transcript.pyannote[371].start 1740.24846875
transcript.pyannote[371].end 1743.33659375
transcript.pyannote[372].speaker SPEAKER_03
transcript.pyannote[372].start 1744.23096875
transcript.pyannote[372].end 1749.69846875
transcript.pyannote[373].speaker SPEAKER_03
transcript.pyannote[373].start 1749.81659375
transcript.pyannote[373].end 1752.98909375
transcript.pyannote[374].speaker SPEAKER_03
transcript.pyannote[374].start 1753.15784375
transcript.pyannote[374].end 1758.11909375
transcript.pyannote[375].speaker SPEAKER_03
transcript.pyannote[375].start 1758.59159375
transcript.pyannote[375].end 1759.01346875
transcript.pyannote[376].speaker SPEAKER_03
transcript.pyannote[376].start 1759.62096875
transcript.pyannote[376].end 1761.02159375
transcript.pyannote[377].speaker SPEAKER_03
transcript.pyannote[377].start 1761.59534375
transcript.pyannote[377].end 1763.04659375
transcript.pyannote[378].speaker SPEAKER_03
transcript.pyannote[378].start 1763.43471875
transcript.pyannote[378].end 1764.00846875
transcript.pyannote[379].speaker SPEAKER_05
transcript.pyannote[379].start 1764.88596875
transcript.pyannote[379].end 1766.26971875
transcript.pyannote[380].speaker SPEAKER_05
transcript.pyannote[380].start 1766.62409375
transcript.pyannote[380].end 1768.69971875
transcript.pyannote[381].speaker SPEAKER_05
transcript.pyannote[381].start 1768.81784375
transcript.pyannote[381].end 1770.23534375
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 1770.55596875
transcript.pyannote[382].end 1774.36971875
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 1775.02784375
transcript.pyannote[383].end 1776.49596875
transcript.pyannote[384].speaker SPEAKER_05
transcript.pyannote[384].start 1776.85034375
transcript.pyannote[384].end 1782.25034375
transcript.pyannote[385].speaker SPEAKER_03
transcript.pyannote[385].start 1781.60909375
transcript.pyannote[385].end 1789.99596875
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 1790.75534375
transcript.pyannote[386].end 1790.82284375
transcript.pyannote[387].speaker SPEAKER_03
transcript.pyannote[387].start 1790.82284375
transcript.pyannote[387].end 1790.95784375
transcript.pyannote[388].speaker SPEAKER_05
transcript.pyannote[388].start 1790.95784375
transcript.pyannote[388].end 1791.02534375
transcript.pyannote[389].speaker SPEAKER_03
transcript.pyannote[389].start 1791.02534375
transcript.pyannote[389].end 1791.04221875
transcript.pyannote[390].speaker SPEAKER_03
transcript.pyannote[390].start 1794.21471875
transcript.pyannote[390].end 1798.87221875
transcript.pyannote[391].speaker SPEAKER_03
transcript.pyannote[391].start 1800.03659375
transcript.pyannote[391].end 1802.87159375
transcript.pyannote[392].speaker SPEAKER_03
transcript.pyannote[392].start 1803.20909375
transcript.pyannote[392].end 1805.75721875
transcript.pyannote[393].speaker SPEAKER_03
transcript.pyannote[393].start 1806.04409375
transcript.pyannote[393].end 1808.01846875
transcript.pyannote[394].speaker SPEAKER_03
transcript.pyannote[394].start 1808.77784375
transcript.pyannote[394].end 1811.61284375
transcript.pyannote[395].speaker SPEAKER_03
transcript.pyannote[395].start 1812.05159375
transcript.pyannote[395].end 1815.91596875
transcript.pyannote[396].speaker SPEAKER_03
transcript.pyannote[396].start 1816.47284375
transcript.pyannote[396].end 1820.33721875
transcript.pyannote[397].speaker SPEAKER_03
transcript.pyannote[397].start 1820.84346875
transcript.pyannote[397].end 1823.44221875
transcript.pyannote[398].speaker SPEAKER_03
transcript.pyannote[398].start 1823.62784375
transcript.pyannote[398].end 1824.47159375
transcript.pyannote[399].speaker SPEAKER_03
transcript.pyannote[399].start 1825.07909375
transcript.pyannote[399].end 1827.23909375
transcript.pyannote[400].speaker SPEAKER_03
transcript.pyannote[400].start 1827.66096875
transcript.pyannote[400].end 1829.78721875
transcript.pyannote[401].speaker SPEAKER_02
transcript.pyannote[401].start 1828.28534375
transcript.pyannote[401].end 1829.73659375
transcript.pyannote[402].speaker SPEAKER_02
transcript.pyannote[402].start 1829.78721875
transcript.pyannote[402].end 1835.57534375
transcript.pyannote[403].speaker SPEAKER_03
transcript.pyannote[403].start 1832.48721875
transcript.pyannote[403].end 1832.52096875
transcript.pyannote[404].speaker SPEAKER_03
transcript.pyannote[404].start 1832.53784375
transcript.pyannote[404].end 1833.09471875
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 1848.19784375
transcript.pyannote[405].end 1848.43409375
transcript.pyannote[406].speaker SPEAKER_04
transcript.pyannote[406].start 1848.97409375
transcript.pyannote[406].end 1850.18909375
transcript.whisperx[0].start 3.388
transcript.whisperx[0].end 18.201
transcript.whisperx[0].text 張偉林委員請準備謝謝院長 我們有請行政院院長還有農業部長上台再請左院長農業部長備選黃委員好 院長好 部長好
transcript.whisperx[1].start 33.198
transcript.whisperx[1].end 55.792
transcript.whisperx[1].text 台東是台灣面對太平洋的地道門面更是我們全國重要的農業的重鎮但現在台東的農民他現在面臨著三個壓力第一個就是外銷卡關第二個就是天災的衝擊還有生產成本的高漲農民的生計受到嚴峻的考驗跟挑戰
transcript.whisperx[2].start 56.713
transcript.whisperx[2].end 83.251
transcript.whisperx[2].text 那今天本席要特別針對台東中澳兩項經濟命脈的作物也就是釋迦跟稻米向中央來反映地方農民長期以來所承受的這些困境那我們中央在制定政策的時候應該要更正視我們這些台東農民所面對的市場不確定性還有氣候的風險我們不能讓第一線的生產者獨自承擔所有的壓力那許醫生 您現在要說的就是我們的經濟作物就是釋迦 釋迦的部分
transcript.whisperx[3].start 83.951
transcript.whisperx[3].end 99.943
transcript.whisperx[3].text 那過去世嘉我們外銷曾經有達到一年破萬噸的這個規模那今年大幅的銳減那去年更只剩下三千噸那這樣的落差其實我相信院長跟部長都很清楚知道因為我們主要的整個外銷的市場都是以中國大陸為主
transcript.whisperx[4].start 102.301
transcript.whisperx[4].end 115.85
transcript.whisperx[4].text 那也因為兩岸這幾年的政治氛圍的關係然後缺乏溝通的機制底下然後再加上關稅的種種問題現在農民要承受這樣的結果那我們目前我們正在推動這個農產品海外託銷獎勵計劃這是今年馬國部長今年這樣結尾後
transcript.whisperx[5].start 121.093
transcript.whisperx[5].end 149.309
transcript.whisperx[5].text 是要針對往年最大的海外的私家海外市場來做一些運費的補貼可是我們今天看到中國大陸是完全沒有那這個是不是在告訴農民說我們要放棄中國大陸這個市場那如果是真的要放棄的話那我們配套措施在哪裡這個是不是要讓我們農民也知道說我們不要賣中國大陸我們要賣德國我跟委員報告其實鳳梨市場是一個標準的被中國操縱的一個品項
transcript.whisperx[6].start 150.171
transcript.whisperx[6].end 172.769
transcript.whisperx[6].text 那在110年的時候他用藉殼種的部分禁止我們輸出以後那時候農民都非常跟農業部站在一起我們努力的去外銷可是到了112年他又透過正式的聽我講啊透過正式的一個談判跟協助又開放了結果農民本來跟我們配合的現在他又
transcript.whisperx[7].start 173.269
transcript.whisperx[7].end 198.244
transcript.whisperx[7].text 又不跟我們配合了這樣子的一個方式我想產銷的條件一定是政府跟農民一起站在一起部長其實本席要問的就是這個本席其實是我第一次質詢跟部長討論的我們就是針對本屆各種的問題嘛對不對其實我們都相信我們很努力這幾年來其實我們也做了很多嘗試不知道新南進包括冷鏈送到北美其實我們都做了很多嘗試可是現實問題就是這一些情況
transcript.whisperx[8].start 199.625
transcript.whisperx[8].end 221.012
transcript.whisperx[8].text 部長這個產業要形成不是這麼簡單你從種植然後到改良到市場接受那找到市場這個一個循環他經過一二十年的努力部長這是我們台東進度的狀況我也要跟農民的意見 法定部長聽就是說如果真的我們今天這個市場不適合的時候我們有沒有其他替代的市場在
transcript.whisperx[9].start 221.972
transcript.whisperx[9].end 236.803
transcript.whisperx[9].text 如果在還沒有市場之前我們這個市場是先把它維持住不然它牽涉的不只是釋迦農它包括這些周邊的產業農藥肥料這些耗材這種種還有包括靠這個維生的這些工人這不一定這是農民的心聲
transcript.whisperx[10].start 238.644
transcript.whisperx[10].end 260.296
transcript.whisperx[10].text 我先報告 您記得去年院長到台東的時候有沒有針對那個資助有沒有的一個協助那表示說其實我們對世家農是非常協助的那後續我們包括我們的外銷包括我們的加工產品我們一定會跟我們的世家農一起在努力讓他變成一個多元的市場
transcript.whisperx[11].start 262.637
transcript.whisperx[11].end 285.177
transcript.whisperx[11].text 對我們還是要找出路嘛對不對所以我看到今年推出一個轉作的計畫就轉作一公頃20萬嘛對不對部長一公頃20萬塊這年三成本就沒夠了這個誘因怎麼樣讓他來轉作這個是我覺得政策上還要再去考慮的問題那另外我想還是要跟部裡面這邊來建議啦針對
transcript.whisperx[12].start 287.844
transcript.whisperx[12].end 304.843
transcript.whisperx[12].text 我們整個施加出口的問題還有檢疫的問題我們中央還是要面對這些要扛起責任我們地方都願意來配合我們願意來行銷好不容易找到一個台東很引以為傲而且是很重要的經濟作物我們希望不要這麼輕易的放棄它
transcript.whisperx[13].start 305.604
transcript.whisperx[13].end 324.378
transcript.whisperx[13].text 沒錯 我希望農業部能夠協助我們的農民建立更多的海外市場並不代表我們要放棄任何一個市場但是我們希望建立的是一個穩定而且沒有政治干涉的產商秩序當然 我們都期待是這樣但是更多元的國際市場去做更多的開發這是必要的
transcript.whisperx[14].start 324.818
transcript.whisperx[14].end 344.874
transcript.whisperx[14].text 但是原有的市場我們如果維持他是個穩定沒有干擾的我們當然全力的來協助院長我們都支持因為我相信雞蛋不能放在同一個籃子裡面我們也不想要讓這些農民他這麼辛苦耕作被政治因素影響但是在還沒有找到替代市場之前是不是能夠不要這麼快的就做這個決定
transcript.whisperx[15].start 346.255
transcript.whisperx[15].end 363.352
transcript.whisperx[15].text 你看接下來大廚怎麼辦所以我第二個要講的就是說剛剛農業部有說他過去協助過農民我們有曾經這樣的轉型過那因為後來又因為回顧到原來的方式所以現在有一點困難再請農業部能夠精進跟農民互相的
transcript.whisperx[16].start 363.892
transcript.whisperx[16].end 389.083
transcript.whisperx[16].text 合作跟取得彼此的信任我們往更健全而且是海外多元市場的開發這條道路我相信院長其實也到公民去看國災你知道那一年當天就剩下的水果不簡單那一個世界要成長要種植到收成要三年的時間那個不是說毀就毀掉的所以這個部分還是希望農業部這邊來研議這些方式包括說你們提到那個加工的方式部長我這邊也要反映一下那個
transcript.whisperx[17].start 390.003
transcript.whisperx[17].end 417.028
transcript.whisperx[17].text 你說要加工補助給加工業者1公斤25塊嘛對不對市價要加工嘛1公斤25塊嘛不曉得你知道現在1公斤市價多少嗎要看A國B國或AB國對你也提到了A國B國C國那你A國的價錢怎麼可能是用25塊這個可能會讓這些業者有這種定貓的效益就是說現在收購價25塊農民說喔我聽我說了農民說喔我賣酒汽我就先賣汽油啦他就把25塊賺在那裡
transcript.whisperx[18].start 418.809
transcript.whisperx[18].end 437.35
transcript.whisperx[18].text 這個東西我覺得在政策上推動上真的要來做適時的修正包括現在市場的價錢包括部長提到的A國的價錢B國的價錢它本來就不是放在同一個水平上所以柏定這部分還是要補在這裡我們會來努力特別是在加工跟限時的市場分流的部分
transcript.whisperx[19].start 438.07
transcript.whisperx[19].end 456.741
transcript.whisperx[19].text 那如果完全加工果如果完全用生鮮果去做的話他後面沒有市場所以我們已經在協調加工業者用BB果或B果去收的時候那相對比較不好的果進去冷凍以後削皮去外銷冷凍外銷是可行的這個部分我想可能要讓
transcript.whisperx[20].start 457.901
transcript.whisperx[20].end 479.176
transcript.whisperx[20].text 第二個部分就是其實中國市場外銷的部分我跟去年相比的話大概是去年的91%但是因為今年的產量比較少特別是去年幾乎每一個世家的農民都有領到天然災害救助每一公斤都有9萬5的部分所以以他們的收入來講我想我們還會努力的去維持它的一個價格
transcript.whisperx[21].start 480.267
transcript.whisperx[21].end 504.756
transcript.whisperx[21].text 而且我們一起加油剛好部長講到這個天災的部分本席就要再談到第二個就是關於風災的問題那其實院長跟部長都很清楚知道台東就是面對太平洋海景第一排每一次的颱風10顆有8顆我們都低個重所以農損都非常嚴重那部裡面其實也推動在世家保險上去年也推動這個風力保險不過風力保險其實因為台東去年遇到幾個颱風然後因為風力測驗的問題
transcript.whisperx[22].start 508.217
transcript.whisperx[22].end 529.054
transcript.whisperx[22].text 造成很多的糾紛因為它的測驗點它在不同的地方所以採集到的那個級數是有落差的那本席也召開幾次的這個協調會這邊也是希望這部裡面未來在針對整個農業保險的政策包括整個理賠方式要再重新檢討測的點在哪邊這個都會影響到這保溫也請保證這一點
transcript.whisperx[23].start 530.455
transcript.whisperx[23].end 531.916
transcript.whisperx[23].text 部長你也知道去年那個風力保險之亂
transcript.whisperx[24].start 551.728
transcript.whisperx[24].end 574.561
transcript.whisperx[24].text 對因為農民在質疑說你的車你的你的車色點在那個方封令裡面一定都有落差但我覺得還是要找出一個比較能夠讓大家能夠接受的方式因為保險他不是補助保險他不是補助那這部分剛才提到解問題我想要請農業部這邊在兩週內提個報告那接下來我們就先
transcript.whisperx[25].start 575.761
transcript.whisperx[25].end 592.957
transcript.whisperx[25].text 釋迦的問題到這邊我們講稻米的部分那台東稻米的品質在台灣的品質好不只全國連全球都知道台灣的米的品質是好的那當然除了我們優秀的種植農民種植的技術以外另外就是品牌的行銷也非常的重要不過
transcript.whisperx[26].start 593.678
transcript.whisperx[26].end 611.431
transcript.whisperx[26].text 今年有農民在給我反映就是我們從民國84年開始推動的這個台灣稻米達人的這個選拔賽中央今年宣布要停辦這個引起很多稻米的反彈 稻農的反彈他說我要怎麼證明我的品質比人家好就是透過比賽嘛因為你有認同這件事
transcript.whisperx[27].start 612.392
transcript.whisperx[27].end 628.459
transcript.whisperx[27].text 院長有認同嗎?我們很多年前在2004年、2005年左右我們曾經看到那個邱垂昌親龍回到海東去做我們那個時候的陳哲平總統還市民給他叫做一個美國總統美國的總統我想這個對他的這個產值價值應該高很多
transcript.whisperx[28].start 633.221
transcript.whisperx[28].end 650.516
transcript.whisperx[28].text 這是對大農很大的鼓勵我可能不會賺錢,我可能不會怎樣,但是我很堅定我要拚一切全國第一名這個是對農民的一個鼓勵所以部長這個部分是不是會研議重新再辦理我跟委員說明因為最近我在處理我們農業部所有的這些
transcript.whisperx[29].start 651.156
transcript.whisperx[29].end 665.281
transcript.whisperx[29].text 有關於比賽的這些獎項我們大概有42項大概花了1億5可是這1億5裡面有將近1億2千萬是在做行政作業我覺得這是不合理的所以我會重新去做調整那我也可以保證說
transcript.whisperx[30].start 666.221
transcript.whisperx[30].end 690.32
transcript.whisperx[30].text 相關的稻米的達人類似的這樣的一個選拔我們會持續但是不一定是用達人這兩個字我會整合跟相關的稻米的一起來做這樣的話才能夠有讓它有它的特殊性提升台東稻米的品質這個是部長我在委員會質詢你說台東稻米的品質其實才是我們未來要走的方向走精緻走直
transcript.whisperx[31].start 691.261
transcript.whisperx[31].end 719.36
transcript.whisperx[31].text 指而不是拼量嘛對不對那另外就是還有我們除了內需的市場以外這邊我講我們也要來協助我們的優質的稻米來做外銷那像近期日本因為這個稻米市場出現切口那我們透過608項這個農藥殘留檢驗的標準我們新竹的糊口米就成功的進入日本市場成為熱銷商品我相信如果台東也能夠來這樣輔導甚至全台灣這樣的稻米也應該有機會來外銷
transcript.whisperx[32].start 721.501
transcript.whisperx[32].end 738.015
transcript.whisperx[32].text 我第一個很高興有這個機會跟委員說明我這次去日本東京食品展我見了非常重要的一個人士然後也提到了一個稻米的合作的模式就是用台灣的稻米結合日本清酒的製造技術
transcript.whisperx[33].start 738.935
transcript.whisperx[33].end 758.71
transcript.whisperx[33].text 去做成所謂的台灣的日本清酒類似這樣的一個模式那我們也希望說由特別是台東花蓮地區的有機的稻米那他們是很認同的部分包括你剛才講很多藥檢都是合格的部分所以這個部分後續我想我們會有系統來促成這樣子的一個合作
transcript.whisperx[34].start 759.43
transcript.whisperx[34].end 778.939
transcript.whisperx[34].text 謝謝部長 部長今天的回覆都非常的正面我相信這對稻農來講是很大的鼓勵但是其實稻農最近也很擔心就是說未來關稅的問題外國的低價稻米會不會衝擊他的市場我想關稅的部分稻米完全是沒有去碰觸的我們原來的配額還是配額144,720噸的配額還在那邊不會有任何的改變
transcript.whisperx[35].start 784.842
transcript.whisperx[35].end 811.188
transcript.whisperx[35].text 謝謝部長正面回應那我們講到這些東西其實還是回到就是一個農業的灌溉系統這個是本席其實常年跟農民這邊接觸他們反應就是說我們台東市每次只要遇到豪雨或是颱風我們的灌溉系統就都會毀損那原因有很多啦當然就是當然水菌的毀損它有因為天然災害但還有一個就是說因為我們傳統都是我們灌溉都是用傳統的土地嘛
transcript.whisperx[36].start 812.108
transcript.whisperx[36].end 836.767
transcript.whisperx[36].text 就用土體去堆置然後引水進去灌溉可是每到大雨的時候這個土體沖回之後水就進不來這個部分會讓農民很生氣就是我明明看到河裡面就這麼多水可是我田裡面一滴都不夠那像今年遇到更尷尬的是他剛好要插秧了他們很擔心說那個秧苗一直在長大可是田裡面一直沒有水這個會影響到整個稻米的生產的產業
transcript.whisperx[37].start 839.509
transcript.whisperx[37].end 866.785
transcript.whisperx[37].text 所以這部分是不是請部長能夠再責成我們相關的單位那在針對的整個灌溉系統上能夠來做加強我想也謝謝委員關鍵這個議題其實去年我大概去了台東三四次的過程裡面那也了解到很多因為台東的那個溪流的距離比較衝擊的部分所以他其實缺了兩樣東西一量是郡路的整修不是用土地的部分
transcript.whisperx[38].start 867.205
transcript.whisperx[38].end 886.148
transcript.whisperx[38].text 第二個是更重要的就是蓄水設施的一個建制所以我已經請我們的農田水利署 針對這兩個就是有系統的去改善這樣的一個進入的設施更重要的是加強更多的這個蓄水石的部件那這樣的話才能夠讓我們的稻米能夠順利的來生產
transcript.whisperx[39].start 888.971
transcript.whisperx[39].end 902.223
transcript.whisperx[39].text 謝謝部長部長今天都有解決到我們台東農民的這些問題好那接下來我要再談的就是謝謝部長請教我現在邀請我們交通部長上台麻煩請交通部長
transcript.whisperx[40].start 914.127
transcript.whisperx[40].end 933.537
transcript.whisperx[40].text 就是院長部長其實東部人常年代的一個信念就是有一條安全回家的道路那其中這個花東塊其實等了這幾十年台灣等了幾十年那好不容易我們在在前幾個會期我們也通過了這個主決議然後要來做
transcript.whisperx[41].start 934.724
transcript.whisperx[41].end 961.227
transcript.whisperx[41].text 安全性的評估那我記得在委員會的時候問過部長是說目前的情況部長回答是說目前看起來效益確實是不足那又說交通部正在努力找出一段可行的方案那現在已經2026年了我去年問的現在2026年了那目前的評估做的情況核定了嗎然後接下來的方案向委員報告目前還在評估當中
transcript.whisperx[42].start 962.844
transcript.whisperx[42].end 990.956
transcript.whisperx[42].text 交通部目前還在評估當中那確實啦我們過去其實做過幾次的評估它的那個效益一直沒有大於一一直沒有大於一我們目前還在找找看有沒有哪一個路段例如說是它的效益有機會大於一的我們就會優先來做在北部其實也有一些路段的未來的公路的延伸我跟院長跟部長分享我第一次在交通委員會質詢的時候我講了那句話就是說台東人的命要比路還要長
transcript.whisperx[43].start 993.577
transcript.whisperx[43].end 1019.411
transcript.whisperx[43].text 因為其實我們的交通環境它會影響的不只是整個發展包括整個後送那很多東西其實不能夠用經濟效益來衡量特別是人民的部分那特別是立法院通過的主決議也希望政府對人民來負責那本席這邊也要求行政院務必要遵守承諾盡快的進行可行性的評估報告然後加速整個後續的工程那保障我們花東人有一條安全回家的道路
transcript.whisperx[44].start 1020.291
transcript.whisperx[44].end 1045.22
transcript.whisperx[44].text 那OK那除了花東塊以外本席也非常注意的就是我們還有另外往南邊就是我們的南迴公路那南迴公路其實不只是台東觀光農產的重要的幹道更是我們南迴居民後送醫療的生命線我們在100年的時候開始進行台九縣南迴公路拓寬改善工程之後但是其實這幾年南迴公路受到天災的侵襲各位可以看到這張照片
transcript.whisperx[45].start 1046.722
transcript.whisperx[45].end 1066.727
transcript.whisperx[45].text 這個是大五鄉大鳥道金輪段它只要遇到大雨或是豪雨它就會下陷那這個可以看出來從去年七月到八月影響的情況還有另外就是整個土石流攤方的問題這陸基掏空啦攤方啦所以南圍公路其實它的脆弱性是看得出來的
transcript.whisperx[46].start 1068.547
transcript.whisperx[46].end 1084.883
transcript.whisperx[46].text 在我們民國80年的時候其實政府有提出一個國道南橫高速公路的計畫它規劃是從泰馬里穿越北戴河山連結國道3號到台88線讓我們台東到高雄的行車只要縮短1.5個小時當時其實地方為了要了解
transcript.whisperx[47].start 1085.544
transcript.whisperx[47].end 1100.811
transcript.whisperx[47].text 民眾的需求也做了一個訪問的統計中研院做了這個電話訪問之後有八成的民眾都支持要興建最後是因為他會穿越北大武山這個保護區所以這個計畫沒有辦法進行我們原本以為這個計畫沒了
transcript.whisperx[48].start 1102.572
transcript.whisperx[48].end 1129.413
transcript.whisperx[48].text 在119年1月18號查資料交通部有公布這個施政成果跟未來展望裡面他忽然間提到要規劃南回快速公路那顯然我們交通部在思考之後 審慎思考之後覺得南回採快速公路的可行性是可以的但是很遺憾的經過那一次之後又沒有消息了那本席認為其實我們其實有走過南回公路都知道它一邊連著太平洋
transcript.whisperx[49].start 1129.653
transcript.whisperx[49].end 1144.926
transcript.whisperx[49].text 他對海岸對道路的侵蝕是一直不斷在發生那這個部分的路段因為天災因為攤房而中斷所以我想南緯絕對有必要再興建一條快速道路那我想這也是政府當年提出的這些想法那
transcript.whisperx[50].start 1145.546
transcript.whisperx[50].end 1160.327
transcript.whisperx[50].text 如果我們南緯快速道路能夠新建成的話不僅連結我們平淡的快速道路讓台東、屏東、高雄可以變成一日生活圈也可以讓台東的物流透過快速公路迅速的往西部發展那台東整個經濟
transcript.whisperx[51].start 1162.189
transcript.whisperx[51].end 1182.897
transcript.whisperx[51].text 這個是當時可以看到這是當時興建南圍快速道路的優點促進東部產業發展提供台東地區前天後高階級高品質的公路運輸服務第三個是擴大觀光核心據點影響圈並均衡區域發展第四個是提供快速運補功能完備國防整體的戰略需求
transcript.whisperx[52].start 1183.477
transcript.whisperx[52].end 1210.831
transcript.whisperx[52].text 所以這條路是非常多的優點我在這裡也要提醒一下有一句話說路如果通 走到最後才會成功那台東長年以來因為交通的變異造成發展相對是沒有西部那麼好那我們也希望說能夠透過交通改善讓整個台東不只是台東讓南部甚至整個台灣的交通更綿密更變異對我們整個國家發展是有幫助的
transcript.whisperx[53].start 1212.813
transcript.whisperx[53].end 1227.165
transcript.whisperx[53].text 那這邊也針對以上的需求請院長也允諾責成我們教務部來推動兩週內提供一份報告跟委員報告不論是從國人的交通的需求或是產業的運輸乃至於觀光的發展
transcript.whisperx[54].start 1230.08
transcript.whisperx[54].end 1254.771
transcript.whisperx[54].text 交通建設當然是手中其最重要的一環必須先做事實上除了公路之外我們對鐵道也有相當周延的計畫像交通部就提出全台全國繞台這個整個4個90分鐘的計畫其中就沒有把台東這一段給他放掉我們也有一個鐵道的一個計畫這樣子也可以再考慮到地形地質地貌的
transcript.whisperx[55].start 1255.371
transcript.whisperx[55].end 1268.323
transcript.whisperx[55].text 還有工程的難易度如果從鐵道來著手也是一個可以選擇的方式我覺得請交通部無論是鐵道或公路能夠來做一個說明謝謝院長謝謝謝謝部長那另外我要談的就是台東的另外一個產業就是觀光
transcript.whisperx[56].start 1271.218
transcript.whisperx[56].end 1293.987
transcript.whisperx[56].text 其實交通跟觀光密不可分我們其實本席也多次向專用表達說希望能促進港澳地區包機直航台東帶動東部的觀光人潮因為我們根據交通部的統計114年度入境旅客人數排名前三名的國家裡面港澳的旅客就是佔的第三名那相較於日韓的遊客港澳旅客其實常常被忽略
transcript.whisperx[57].start 1295.547
transcript.whisperx[57].end 1322.924
transcript.whisperx[57].text 其實港澳遊客他其實不單單具有相當的消費能力而且跟我們台灣的地理位置也非常的接近嘛那我在謝謝主委因為我在內政委員會的時候謝謝跟主委聊過這件事情我們是不是可以來促進我們台東跟港澳地區的包機的直航那時候主委也非常正面的肯定這件事情我相信這個是對我們整個發展是有幫助嘛那這邊我想要問一下部長你感冒及期
transcript.whisperx[58].start 1324.864
transcript.whisperx[58].end 1351.286
transcript.whisperx[58].text 像花蓮其實也有港澳的包機啦那地方政府他願意來申請我們就會盡量來協助那花蓮有這樣的案例或許台東也可以請地方政府來跟我們這邊來申請讓我們來協助包機的部分讓台東縣政府陸委會跟教育部我們一起來完成這件事情可以嗎我們會站在協助的角度這個沒有問題感謝部長也感謝主委還問你院長
transcript.whisperx[59].start 1353.103
transcript.whisperx[59].end 1359.261
transcript.whisperx[59].text 那謝謝兩位接下來我的時間也快沒了我來再請教一下教育部請教育部長備詢
transcript.whisperx[60].start 1378.188
transcript.whisperx[60].end 1393.422
transcript.whisperx[60].text 首先我要跟你感謝本市上任以來其實也跟部裡面做了一些陳情像是我們校舍老舊的問題 設施老舊的問題像台中體中游泳池的問題 台東女中操場的問題
transcript.whisperx[61].start 1394.451
transcript.whisperx[61].end 1414.742
transcript.whisperx[61].text 不然也要幫我們倒三天都亂寫那上次也提到過包括台東的一些校舍的整建那我們現在看到18號教育部核定了台東高中台東女中的這個校舍漏水的改善經費一千零五十萬五千元我想謝謝部裡面對台東的幫助但是這一點還是不夠因為
transcript.whisperx[62].start 1416.483
transcript.whisperx[62].end 1427.848
transcript.whisperx[62].text 所以院長部長相信我們都很常講過一句話就是窮不能窮教育然後苦不能苦孩子那對於台東的這些孩子來說這句話特別有感我自己是偏鄉長大的小孩
transcript.whisperx[63].start 1428.666
transcript.whisperx[63].end 1453.774
transcript.whisperx[63].text 那我們台東縣有118所的國中校這裡面有99所是原住民的重點學校那偏遠地區的國中校就有90間那比例高達76%那此外我們台東因為他們我講到的我們在地理的環境紅胎等於都會掉所以因為在風災還有地震的期間下我們校的其實都相對是老舊需要急需的來整建那請問部長這邊是不是願意來協助
transcript.whisperx[64].start 1456.141
transcript.whisperx[64].end 1481.16
transcript.whisperx[64].text 我想跟我們報告我想像上一次那個台中領中台中體中事實上我們當看到這個颱風有一些這一個對學校造成傷害消息一出來這個校安系統一通報我們馬上就我馬上就交代這一個國教署署長說要優先來這個協助來改善我想對於我們偏鄉或者這些比較
transcript.whisperx[65].start 1482.72
transcript.whisperx[65].end 1506.988
transcript.whisperx[65].text 這個非商會式的一個台東地區這個當然都是我們總統跟院長也都是優先在關照我們這些偏鄉或者這些非商會式的比較這個教育資源相對需要有更多的一些優先來支持我想這當然教育部是責無旁貸另外我們也對偏鄉的這些教師他們
transcript.whisperx[66].start 1507.648
transcript.whisperx[66].end 1530.677
transcript.whisperx[66].text 的許多的一些因為長期在任教的過程他暴露在一個相對比較危險的一個環境下因為台風台灣的一個颱風跟地震多所以在山區服務我們也都可以額外的一個這些保險的一個這樣的一個提供我也我想對偏鄉老師的一個任教跟學生的品質都是我們優先這個關照的
transcript.whisperx[67].start 1532.658
transcript.whisperx[67].end 1548.382
transcript.whisperx[67].text 謝謝部長 部長剛有提到老師的問題就是接下來本協議要跟反映就是台東縣便利學校比例比較高 所以老師的異動非常頻繁那為了要留住老師 台東縣政府今年再跟教育部還有體育部申請這個改善教師待遇服務的計畫 總共是4,520百萬
transcript.whisperx[68].start 1551.583
transcript.whisperx[68].end 1567.896
transcript.whisperx[68].text 那這個就是希望我們讓老師能夠更願意留在台東願意留在這個地方讓他的教學品質可以穩定那這部分是不是請院長你能夠支持我們台東縣提拔的計畫給台東偏鄉學校的學生有更穩定的教學的環境院長
transcript.whisperx[69].start 1569.768
transcript.whisperx[69].end 1591.327
transcript.whisperx[69].text 對偏遠地區的教學教育部一直有對各種不同的學校也好或是師製也好都有相對的一些優惠的措施那我覺得這個都是應該因為我們就是講求教育平權讓每個孩子都能夠平等的受教權也讓所有的孩子能夠在一個好的教育環境底下比方說我去年去到綠島吧
transcript.whisperx[70].start 1593.797
transcript.whisperx[70].end 1619.048
transcript.whisperx[70].text 風災壞了之後一年他並無法去整修完畢等到第二個颱風來又壞了一次那學生就長期在這個環境底下所以我們以後對整個偏遠地區的這些工程上也應該在核實的強烈因為要請到這麼多的工人去是可能有困難原料材料要去可能有困難再加上學校裡面的行政人員是明顯不夠的這個部分我們都會再檢討
transcript.whisperx[71].start 1619.528
transcript.whisperx[71].end 1639.617
transcript.whisperx[71].text 也謝謝院長這樣的言論願意幫台東教育不管是硬體軟體還有私資的方面的協助那也謝謝部長這段時間來對台東的照顧我們也希望部長繼續來協助我們東部的教育環境感謝部長那最後我想要請教經濟部長跟園民會的主委麻煩請經濟部長園民會備選
transcript.whisperx[72].start 1645.438
transcript.whisperx[72].end 1672.119
transcript.whisperx[72].text 我想最後這段時間我要代表台東縣的鄉親跟中央來請命其實部長之前在國發會的時候跟我們台東縣的互動非常的多我記得我是那時候擔任台東的鄉長我們地方創生第三個通過也是那時候部長你在擔任主委的時候核定這幾年其實台東縣的勞勤集團跟勤務團隊很努力我們努力的做事情也努力的把錢還掉
transcript.whisperx[73].start 1673.32
transcript.whisperx[73].end 1698.767
transcript.whisperx[73].text 那因為良好的因為這樣的情況結果在今年整個財力調整的時候我們被列為跟台北市新竹是同一新竹縣列為同一級齁這個造成未來之後的一些計畫他都會延宕而且院長我感覺這樣是有問題的就是他前陣子的行銷結果因為這樣一變一急所謂補足從此就可能因為斷缺齁
transcript.whisperx[74].start 1700.597
transcript.whisperx[74].end 1723.562
transcript.whisperx[74].text 委員講到重點 這就是現在財化法非常不公平的現象沒關係 院長本席把話講完就是說其實本席也跟行政院主席處來討論我們當然知道這個計算方式已經完成但是也要求說我們也把台東的情況也告訴主席處主席處也很協助我們 他把發文給其他的部會他說請各部會自行來判斷是否來放寬這個標準
transcript.whisperx[75].start 1724.722
transcript.whisperx[75].end 1738.719
transcript.whisperx[75].text 主席讓我們的大埔是比較正面的那我們確實也是覺得那我們就一個一個來講我記得我在委員會的時候還有跟我們委員會主委聊過這件事情主委你是因為你說接下來不會影響到對不對原鄉的部分都不會影響到對不對
transcript.whisperx[76].start 1740.285
transcript.whisperx[76].end 1762.614
transcript.whisperx[76].text OK 那我現在講的這個我們會擔心的原因就是因為我們現在拚到一個就是臺東的自來水無自來水地區的供水改善計畫的經費就是因為財力等級大家乘一級它是不補助的這可能造成偏鄉地區還有原住民不多的飲水的問題它不自然而用主委 我想問一下有沒有主委主委 那個原子機法第15條是什麼
transcript.whisperx[77].start 1764.946
transcript.whisperx[77].end 1787.335
transcript.whisperx[77].text 就是要得設立這個建設基金但是跟委員報告就是說我們所有的在延鄉的這些公共建設不是只有延民會在補助真的是更要感謝更多的這個像經濟部水利署啦有些河川的整治等等主委我講的是精神我提醒院長部長還有主委全台東縣16個鄉鎮有15個鄉鎮是原鄉地區是
transcript.whisperx[78].start 1794.246
transcript.whisperx[78].end 1820.296
transcript.whisperx[78].text 我想這個調整已經發生我們現在想是怎麼樣來修復所以我這邊也要請院長還有部長這邊是不是能夠來協助因為飲水是基本的人權問題你不能因為財政情況然後讓他沒辦法補助蘭嶼的鄉親非常的開心因為當第一起出來訓練的時候他們說我感謝這個政府因為我們終於不用再接山水了
transcript.whisperx[79].start 1820.776
transcript.whisperx[79].end 1820.916
transcript.whisperx[79].text 好 謝謝黃建復