iVOD / 169405

Field Value
IVOD_ID 169405
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169405
日期 2026-05-15
會議資料.會議代碼 院會-11-5-10
會議資料.會議代碼:str 第11屆第5會期第10次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 10
會議資料.種類 院會
會議資料.標題 第11屆第5會期第10次會議
影片種類 Clip
開始時間 2026-05-15T15:10:32+08:00
結束時間 2026-05-15T15:26:44+08:00
影片長度 00:16:12
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d906288add6529c759ffb20ee1d6f67bfe8d06624debbdaed817488d83a1324c99b491e425fd1a755ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王世堅
委員發言時間 15:10:32 - 15:26:44
會議時間 2026-05-15T09:00:00+08:00
會議名稱 第11屆第5會期第10次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、總統彈劾案事項。(5月19日上午)三、5月15日上午9時至10時為國是論壇時間。四、5月19日下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 26.49096875
transcript.pyannote[0].end 26.72721875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 27.60471875
transcript.pyannote[1].end 28.34721875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 28.61721875
transcript.pyannote[2].end 29.30909375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 29.89971875
transcript.pyannote[3].end 31.08096875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 32.38034375
transcript.pyannote[4].end 33.61221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 42.50534375
transcript.pyannote[5].end 43.12971875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 43.87221875
transcript.pyannote[6].end 43.88909375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 43.88909375
transcript.pyannote[7].end 44.04096875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 44.56409375
transcript.pyannote[8].end 45.05346875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 45.72846875
transcript.pyannote[9].end 46.38659375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 46.69034375
transcript.pyannote[10].end 47.02784375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 47.17971875
transcript.pyannote[11].end 48.24284375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 48.73221875
transcript.pyannote[12].end 51.53346875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 52.61346875
transcript.pyannote[13].end 53.42346875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 54.28409375
transcript.pyannote[14].end 54.65534375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 55.00971875
transcript.pyannote[15].end 56.42721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 57.01784375
transcript.pyannote[16].end 57.52409375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 57.79409375
transcript.pyannote[17].end 58.36784375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 58.77284375
transcript.pyannote[18].end 60.86534375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 61.87784375
transcript.pyannote[19].end 62.46846875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 63.17721875
transcript.pyannote[20].end 64.81409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 65.60721875
transcript.pyannote[21].end 66.61971875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 67.21034375
transcript.pyannote[22].end 71.58096875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 72.22221875
transcript.pyannote[23].end 74.36534375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 75.34409375
transcript.pyannote[24].end 77.94284375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 78.70221875
transcript.pyannote[25].end 80.15346875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 81.89159375
transcript.pyannote[26].end 82.87034375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 83.54534375
transcript.pyannote[27].end 83.98409375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 84.10221875
transcript.pyannote[28].end 85.68846875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 86.38034375
transcript.pyannote[29].end 88.45596875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 88.84409375
transcript.pyannote[30].end 89.40096875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 89.83971875
transcript.pyannote[31].end 91.12221875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 91.62846875
transcript.pyannote[32].end 92.77596875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 93.34971875
transcript.pyannote[33].end 94.05846875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 94.22721875
transcript.pyannote[34].end 95.96534375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 96.62346875
transcript.pyannote[35].end 97.93971875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 98.24346875
transcript.pyannote[36].end 100.42034375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 101.31471875
transcript.pyannote[37].end 105.76971875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 127.21784375
transcript.pyannote[38].end 127.53846875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 128.78721875
transcript.pyannote[39].end 129.44534375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 128.83784375
transcript.pyannote[40].end 129.25971875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 129.79971875
transcript.pyannote[41].end 140.11034375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 140.78534375
transcript.pyannote[42].end 148.24409375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 148.44659375
transcript.pyannote[43].end 158.94284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 160.19159375
transcript.pyannote[44].end 160.61346875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 160.78221875
transcript.pyannote[45].end 161.84534375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 162.73971875
transcript.pyannote[46].end 163.98846875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 164.35971875
transcript.pyannote[47].end 165.99659375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 166.23284375
transcript.pyannote[48].end 168.15659375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 168.40971875
transcript.pyannote[49].end 169.84409375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 170.41784375
transcript.pyannote[50].end 170.99159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 172.13909375
transcript.pyannote[51].end 173.79284375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 174.73784375
transcript.pyannote[52].end 175.26096875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 176.64471875
transcript.pyannote[53].end 181.50471875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 181.77471875
transcript.pyannote[54].end 182.31471875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 182.90534375
transcript.pyannote[55].end 185.58846875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 185.99346875
transcript.pyannote[56].end 186.58409375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 187.39409375
transcript.pyannote[57].end 187.83284375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 188.13659375
transcript.pyannote[58].end 190.80284375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 191.69721875
transcript.pyannote[59].end 197.80596875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 198.86909375
transcript.pyannote[60].end 199.44284375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 200.55659375
transcript.pyannote[61].end 203.64471875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 204.18471875
transcript.pyannote[62].end 206.76659375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 207.44159375
transcript.pyannote[63].end 208.90971875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 210.15846875
transcript.pyannote[64].end 211.50846875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 212.31846875
transcript.pyannote[65].end 214.69784375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 215.11971875
transcript.pyannote[66].end 216.03096875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 216.06471875
transcript.pyannote[67].end 217.09409375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 217.93784375
transcript.pyannote[68].end 218.46096875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 219.32159375
transcript.pyannote[69].end 220.77284375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 221.88659375
transcript.pyannote[70].end 222.52784375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 223.75971875
transcript.pyannote[71].end 225.32909375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 226.02096875
transcript.pyannote[72].end 227.55659375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 228.23159375
transcript.pyannote[73].end 234.23909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 234.49221875
transcript.pyannote[74].end 235.60596875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 235.75784375
transcript.pyannote[75].end 242.40659375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 243.75659375
transcript.pyannote[76].end 245.12346875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 245.47784375
transcript.pyannote[77].end 249.81471875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 250.45596875
transcript.pyannote[78].end 250.89471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 251.41784375
transcript.pyannote[79].end 252.05909375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 252.34596875
transcript.pyannote[80].end 254.80971875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 255.18096875
transcript.pyannote[81].end 257.03721875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 257.88096875
transcript.pyannote[82].end 262.69034375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 264.22596875
transcript.pyannote[83].end 264.68159375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 265.28909375
transcript.pyannote[84].end 266.16659375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 266.47034375
transcript.pyannote[85].end 267.02721875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 267.41534375
transcript.pyannote[86].end 267.93846875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 268.71471875
transcript.pyannote[87].end 269.82846875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 270.33471875
transcript.pyannote[88].end 271.44846875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 272.39346875
transcript.pyannote[89].end 272.91659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 274.16534375
transcript.pyannote[90].end 276.57846875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 277.00034375
transcript.pyannote[91].end 277.67534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 277.92846875
transcript.pyannote[92].end 278.77221875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 279.09284375
transcript.pyannote[93].end 280.20659375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 280.51034375
transcript.pyannote[94].end 281.25284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 281.70846875
transcript.pyannote[95].end 283.93596875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 285.03284375
transcript.pyannote[96].end 286.60221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 287.51346875
transcript.pyannote[97].end 289.20096875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 289.87596875
transcript.pyannote[98].end 292.44096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 293.68971875
transcript.pyannote[99].end 295.19159375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 296.72721875
transcript.pyannote[100].end 304.87784375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 307.18971875
transcript.pyannote[101].end 308.20221875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 309.85596875
transcript.pyannote[102].end 314.61471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 315.69471875
transcript.pyannote[103].end 317.04471875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 317.43284375
transcript.pyannote[104].end 317.71971875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 318.07409375
transcript.pyannote[105].end 318.91784375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 319.40721875
transcript.pyannote[106].end 320.45346875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 321.36471875
transcript.pyannote[107].end 322.36034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 323.05221875
transcript.pyannote[108].end 326.95034375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 328.40159375
transcript.pyannote[109].end 331.50659375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 331.82721875
transcript.pyannote[110].end 333.37971875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 334.59471875
transcript.pyannote[111].end 335.11784375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 335.35409375
transcript.pyannote[112].end 336.19784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 337.10909375
transcript.pyannote[113].end 342.44159375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 342.67784375
transcript.pyannote[114].end 344.68596875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 345.34409375
transcript.pyannote[115].end 347.70659375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 347.90909375
transcript.pyannote[116].end 351.58784375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 352.24596875
transcript.pyannote[117].end 358.89471875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 359.63721875
transcript.pyannote[118].end 362.08409375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 362.42159375
transcript.pyannote[119].end 363.70409375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 364.15971875
transcript.pyannote[120].end 367.56846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 368.76659375
transcript.pyannote[121].end 376.68096875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 377.57534375
transcript.pyannote[122].end 382.19909375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 383.56596875
transcript.pyannote[123].end 386.90721875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 387.63284375
transcript.pyannote[124].end 389.45534375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 390.16409375
transcript.pyannote[125].end 392.05409375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 392.45909375
transcript.pyannote[126].end 393.28596875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 394.07909375
transcript.pyannote[127].end 395.47971875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 396.13784375
transcript.pyannote[128].end 397.48784375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 398.34846875
transcript.pyannote[129].end 399.78284375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 401.04846875
transcript.pyannote[130].end 402.06096875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 402.85409375
transcript.pyannote[131].end 404.11971875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 404.47409375
transcript.pyannote[132].end 406.49909375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 407.66346875
transcript.pyannote[133].end 408.52409375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 409.70534375
transcript.pyannote[134].end 412.08471875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 412.50659375
transcript.pyannote[135].end 413.46846875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 413.68784375
transcript.pyannote[136].end 414.63284375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 415.08846875
transcript.pyannote[137].end 417.65346875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 418.09221875
transcript.pyannote[138].end 420.35346875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 420.85971875
transcript.pyannote[139].end 424.90971875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 425.19659375
transcript.pyannote[140].end 429.53346875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 429.87096875
transcript.pyannote[141].end 432.45284375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 432.65534375
transcript.pyannote[142].end 433.24596875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 433.44846875
transcript.pyannote[143].end 443.60721875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 443.96159375
transcript.pyannote[144].end 446.72909375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 444.11346875
transcript.pyannote[145].end 444.73784375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 444.83909375
transcript.pyannote[146].end 452.97284375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 453.63096875
transcript.pyannote[147].end 454.55909375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 455.11596875
transcript.pyannote[148].end 457.63034375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 458.10284375
transcript.pyannote[149].end 459.40221875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 460.46534375
transcript.pyannote[150].end 460.87034375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 461.29221875
transcript.pyannote[151].end 461.93346875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 462.97971875
transcript.pyannote[152].end 464.59971875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 465.35909375
transcript.pyannote[153].end 468.09284375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 466.99596875
transcript.pyannote[154].end 470.37096875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 469.29096875
transcript.pyannote[155].end 473.50971875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 471.31596875
transcript.pyannote[156].end 484.36034375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 480.15846875
transcript.pyannote[157].end 483.49971875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 484.36034375
transcript.pyannote[158].end 484.66409375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 484.81596875
transcript.pyannote[159].end 487.17846875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 487.56659375
transcript.pyannote[160].end 492.57846875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 492.86534375
transcript.pyannote[161].end 500.03721875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 500.32409375
transcript.pyannote[162].end 503.96909375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 502.41659375
transcript.pyannote[163].end 502.66971875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 503.96909375
transcript.pyannote[164].end 508.25534375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 508.59284375
transcript.pyannote[165].end 513.03096875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 512.67659375
transcript.pyannote[166].end 515.02221875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 516.18659375
transcript.pyannote[167].end 517.28346875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 518.05971875
transcript.pyannote[168].end 520.94534375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 521.36721875
transcript.pyannote[169].end 542.66346875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 542.88284375
transcript.pyannote[170].end 548.04659375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 548.87346875
transcript.pyannote[171].end 550.27409375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 551.43846875
transcript.pyannote[172].end 552.78846875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 553.56471875
transcript.pyannote[173].end 556.31534375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 557.49659375
transcript.pyannote[174].end 562.45784375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 563.31846875
transcript.pyannote[175].end 565.34346875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 565.96784375
transcript.pyannote[176].end 566.30534375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 566.84534375
transcript.pyannote[177].end 567.90846875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 568.41471875
transcript.pyannote[178].end 571.65471875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 571.94159375
transcript.pyannote[179].end 572.88659375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 573.17346875
transcript.pyannote[180].end 585.32346875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 586.15034375
transcript.pyannote[181].end 588.44534375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 589.10346875
transcript.pyannote[182].end 589.93034375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 590.23409375
transcript.pyannote[183].end 591.70221875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 592.36034375
transcript.pyannote[184].end 594.40221875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 594.72284375
transcript.pyannote[185].end 595.70159375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 595.83659375
transcript.pyannote[186].end 600.66284375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 601.67534375
transcript.pyannote[187].end 604.08846875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 604.29096875
transcript.pyannote[188].end 605.59034375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 606.07971875
transcript.pyannote[189].end 606.55221875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 607.07534375
transcript.pyannote[190].end 610.38284375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 610.61909375
transcript.pyannote[191].end 613.63971875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 613.79159375
transcript.pyannote[192].end 623.14034375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 623.71409375
transcript.pyannote[193].end 624.37221875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 624.82784375
transcript.pyannote[194].end 625.97534375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 625.01346875
transcript.pyannote[195].end 626.38034375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 626.85284375
transcript.pyannote[196].end 627.35909375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 628.47284375
transcript.pyannote[197].end 629.28284375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 629.53596875
transcript.pyannote[198].end 636.69096875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 636.97784375
transcript.pyannote[199].end 640.28534375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 640.60596875
transcript.pyannote[200].end 713.42159375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 646.39409375
transcript.pyannote[201].end 649.29659375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 649.29659375
transcript.pyannote[202].end 649.39784375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 705.65909375
transcript.pyannote[203].end 711.58221875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 712.84784375
transcript.pyannote[204].end 727.52909375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 728.22096875
transcript.pyannote[205].end 729.84096875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 730.34721875
transcript.pyannote[206].end 733.08096875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 733.18221875
transcript.pyannote[207].end 733.28346875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 733.28346875
transcript.pyannote[208].end 735.00471875
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 734.41409375
transcript.pyannote[209].end 737.21534375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 735.78096875
transcript.pyannote[210].end 736.05096875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 736.47284375
transcript.pyannote[211].end 737.33346875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 737.33346875
transcript.pyannote[212].end 737.97471875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 737.97471875
transcript.pyannote[213].end 743.27346875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 743.57721875
transcript.pyannote[214].end 756.79034375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 754.10721875
transcript.pyannote[215].end 754.17471875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 754.17471875
transcript.pyannote[216].end 754.30971875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 755.45721875
transcript.pyannote[217].end 777.91784375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 763.81034375
transcript.pyannote[218].end 764.83971875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 767.30346875
transcript.pyannote[219].end 767.67471875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 768.53534375
transcript.pyannote[220].end 768.97409375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 771.85971875
transcript.pyannote[221].end 772.26471875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 772.50096875
transcript.pyannote[222].end 774.07034375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 777.96846875
transcript.pyannote[223].end 783.89159375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 783.50346875
transcript.pyannote[224].end 784.98846875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 784.92096875
transcript.pyannote[225].end 793.45971875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 793.96596875
transcript.pyannote[226].end 795.34971875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 795.63659375
transcript.pyannote[227].end 802.77471875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 802.94346875
transcript.pyannote[228].end 809.74409375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 809.91284375
transcript.pyannote[229].end 820.76346875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 821.11784375
transcript.pyannote[230].end 834.51659375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 834.87096875
transcript.pyannote[231].end 855.79596875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 856.33596875
transcript.pyannote[232].end 862.54596875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 862.81596875
transcript.pyannote[233].end 865.04346875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 865.33034375
transcript.pyannote[234].end 870.47721875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 870.64596875
transcript.pyannote[235].end 873.66659375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 874.47659375
transcript.pyannote[236].end 880.55159375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 880.73721875
transcript.pyannote[237].end 882.12096875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 882.66096875
transcript.pyannote[238].end 884.83784375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 885.10784375
transcript.pyannote[239].end 887.40284375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 888.28034375
transcript.pyannote[240].end 893.81534375
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 894.35534375
transcript.pyannote[241].end 894.87846875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 895.40159375
transcript.pyannote[242].end 897.73034375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 898.27034375
transcript.pyannote[243].end 900.00846875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 900.32909375
transcript.pyannote[244].end 901.00409375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 901.20659375
transcript.pyannote[245].end 903.70409375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 904.19346875
transcript.pyannote[246].end 904.93596875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 905.88096875
transcript.pyannote[247].end 906.87659375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 907.99034375
transcript.pyannote[248].end 912.61409375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 913.44096875
transcript.pyannote[249].end 914.90909375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 915.49971875
transcript.pyannote[250].end 918.35159375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 918.99284375
transcript.pyannote[251].end 927.83534375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 928.08846875
transcript.pyannote[252].end 933.50534375
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 933.92721875
transcript.pyannote[253].end 946.78596875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 963.96471875
transcript.pyannote[254].end 965.04471875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 969.90471875
transcript.pyannote[255].end 972.92534375
transcript.whisperx[0].start 27.974
transcript.whisperx[0].end 33.758
transcript.whisperx[0].text 謝謝主席我請卓皇太卓院長請卓院長備詢黃委員好卓院長辛苦了不會我今天要送你這個壓力鍋因為你
transcript.whisperx[1].start 54.332
transcript.whisperx[1].end 82.679
transcript.whisperx[1].text 和你的執政團隊那頂著我們社會的期待還有草野的壓力那我希望你能夠有抗壓能夠抵抗這個高壓就像這個壓力鍋要能夠承受住高壓才能夠燉出好的食物
transcript.whisperx[2].start 84.199
transcript.whisperx[2].end 102.375
transcript.whisperx[2].text 給我們國民大眾所以我送你這個壓力鍋讓你放在辦公室期許你自己要能夠承受壓力為我們國民燉出好的料理這個壓力鍋適當的時間要解壓 舒壓要把蓋子打開
transcript.whisperx[3].start 110.367
transcript.whisperx[3].end 127.466
transcript.whisperx[3].text
transcript.whisperx[4].start 132.124
transcript.whisperx[4].end 141.287
transcript.whisperx[4].text 這個禮拜一到禮拜五是由行政院主辦法務部承辦的就是公民與政治權利國際公約還有經濟社會文化權利國際公約這樣子的
transcript.whisperx[5].start 147.668
transcript.whisperx[5].end 174.815
transcript.whisperx[5].text 國際審查會簡單講這就是兩公約啦那兩公約要幹什麼兩公約就是要求訂約國就是你們要廢除死刑就這麼簡單那這是從滿久前總統當時他起了個頭啦當時因為他已經卸任了我就不再批評他了啦那起了個頭以後再來我們
transcript.whisperx[6].start 176.721
transcript.whisperx[6].end 198.959
transcript.whisperx[6].text 每一朝的政府變成就是那就非得也配合配合做一做可是我覺得很奇怪的是這幾點第一點院長我們台灣不是締約國耶我們也沒能加入聯合國耶那我們跟著瞎起哄幹什麼呢那
transcript.whisperx[7].start 200.612
transcript.whisperx[7].end 225.225
transcript.whisperx[7].text 第二點就算地約的國家也有50國以上他們都還維持死刑這裡面包括都是超級大國美國 日本 中國他們通通維持死刑那還有第三個很奇怪的
transcript.whisperx[8].start 226.91
transcript.whisperx[8].end 249.103
transcript.whisperx[8].text 來參加的這些所謂的國際上的人權專家學者們他們竟然每一位在上場的時候他們演講的時候他們都說他們是以個人身份來的他們不代表聯合國社經受委員會
transcript.whisperx[9].start 251.47
transcript.whisperx[9].end 272.627
transcript.whisperx[9].text 來那奇怪那這樣他來一次那我們要他來幹什麼不是說國際審查會議嗎然後來這邊講一些不著邊際高來高去的話我真搞不懂啦那他們愛玩這一些愛講這一些我想
transcript.whisperx[10].start 274.195
transcript.whisperx[10].end 294.181
transcript.whisperx[10].text 就聽聽以後就不要再這個樣子了為什麼這裡面的這幾天的會議只有法務部講的人話檢察司去參加檢察司在裡面報告說最近兩年來啊我們台灣我們國內
transcript.whisperx[11].start 297.346
transcript.whisperx[11].end 320.083
transcript.whisperx[11].text 從八成主張死刑八成民意主張死刑一直提高到九成三支持死刑法務部檢察司做的民意調查是3569份這樣子的調查誤差率不到1%不到1%
transcript.whisperx[12].start 323.123
transcript.whisperx[12].end 351.308
transcript.whisperx[12].text 九成三的民意陷在我們台灣的民意喔是這麼沸騰的主張要維持死刑所以我就不懂啊我就不懂為什麼奇怪這些人權學者你看我就說他講一些高來高去的話很奇怪他們在會中都強調加害人的人權奇怪那被害人的人權在哪裡
transcript.whisperx[13].start 352.486
transcript.whisperx[13].end 376.449
transcript.whisperx[13].text 被害人的人權已經嚴重的被加害人剝割了那我們台灣的司法不必幫我們這些加害人被害人討回公道嗎所以我希望 我具體講就是說我希望以後不要再讓這樣莫名其妙的
transcript.whisperx[14].start 377.648
transcript.whisperx[14].end 406.409
transcript.whisperx[14].text 所謂國際審查會由我們台灣來主辦這次是這次是我們台灣我們花了1015萬我們主動去邀請的我覺得犯不著犯不著過去全朝馬英九他們犯的錯誤那我們就應該順應民意來做修正不要再犯這個錯誤可不可以
transcript.whisperx[15].start 408.008
transcript.whisperx[15].end 431.313
transcript.whisperx[15].text 報告委員中華民國台灣在外交上的處境是非常艱苦的所以我們是採多元多角度的跟國際各項組織做接觸你剛剛所談到的這個兩公約的這幾位審查委員包括公證會的主席以及社經文的主席等等跟幾位審查委員來台灣所說的並不
transcript.whisperx[16].start 433.933
transcript.whisperx[16].end 461.715
transcript.whisperx[16].text 僅限於在死刑存廢的問題上面他們對人權工作權跟其他的一些社會經濟文化的基本權利都有涉獵我覺得我們不必在這邊抬槓了啦他 梁功威最主要就是要針對廢除死刑你就看外面那麼多受害者他們的遺族家屬你看人家在那邊多 真的是
transcript.whisperx[17].start 463.055
transcript.whisperx[17].end 483.002
transcript.whisperx[17].text 追星棄血啊我覺得不要再讓這種場面出現了我們在去年也執行台灣不是一個廢死的國家我們是前段班但是我們不是一個廢死的國家我們是有執行的去年我們是有執行的好 我就回到世新
transcript.whisperx[18].start 487.643
transcript.whisperx[18].end 514.266
transcript.whisperx[18].text 保護部做的這個調查九成三的社會大眾支持實行我認為九成三的社會大眾支持實行這就是社會共識那如果違反社會共識的院長違反社會共識的就叫做歪理我們在社會共識底下我們必須依照宪判的意旨來做決定所以當這些廢死團體
transcript.whisperx[19].start 516.243
transcript.whisperx[19].end 533.253
transcript.whisperx[19].text 不敢國內國外他們講這些歪理的時候你知道他們為什麼廢死他們說因為廢死因為死刑不可以回復所以啊這些死刑案有很多錯假冤屈打成招當他們尤其部長你也在現場
transcript.whisperx[20].start 534.153
transcript.whisperx[20].end 552.203
transcript.whisperx[20].text 當他們講這些胡說八道的歪理的時候我認為我們政府 法務部就應該站出來提出反駁嚴正聲明 理正視聽不是嗎 我請問這36件死刑案哪一件
transcript.whisperx[21].start 557.5
transcript.whisperx[21].end 559.201
transcript.whisperx[21].text 我舉幾個例子齁這都是最嚴重的犯罪情節喔
transcript.whisperx[22].start 566.918
transcript.whisperx[22].end 591.487
transcript.whisperx[22].text 在公共場所殺人案的有多名見證人人證、事證、物證都有了林旺仁、彭建源、陳文奎這有的是2000年案發到2004年、2009年都判定我在講彭建源在卡拉OK案縱火造成5人死亡
transcript.whisperx[23].start 592.427
transcript.whisperx[23].end 600.34
transcript.whisperx[23].text 金融卡OK 林旺仁這個縱火五人死亡 八人受傷這一下來 這一系列下來
transcript.whisperx[24].start 601.735
transcript.whisperx[24].end 627.04
transcript.whisperx[24].text 每一件你可以去看這36件這36件部長我們總長已經有提出五件非常上訴有一位他也在獄中死亡那這樣子就扣除這六位還有30位你們遲遲沒有給我們答覆沒有給社會答覆院長執行死刑是
transcript.whisperx[25].start 628.553
transcript.whisperx[25].end 655.305
transcript.whisperx[25].text 行政院跟法務部的職責你們責無旁貸要還給社會還給被害人一個公道不是這樣嗎跟委員報告齁那個在我任內就在去年1月16號執行一位黃姓的一個死刑探訪一位而已啊因為這個這樣跟委員報告你要聽我講齁就是說因為現在在最高檢察署在審核
transcript.whisperx[26].start 655.825
transcript.whisperx[26].end 670.924
transcript.whisperx[26].text 目前有31位的因為有審核有5位已經非常上訴了因為按照114年憲判113年憲判大致8號的這些的憲法的判決的所裡面的意旨來再來檢視
transcript.whisperx[27].start 672.525
transcript.whisperx[27].end 688
transcript.whisperx[27].text 這些的已經確定的這些的死刑犯是不是有合乎到憲判一直講的一些的訴訟程序的一個問題那所以現在我們是在現在目前在最高檢察署在審核所以就審了五件已經提了五件另外還有31件我們還在嚴謹的審核中
transcript.whisperx[28].start 691.443
transcript.whisperx[28].end 709.916
transcript.whisperx[28].text 那另外還有一個我們必須要等待司法救濟程序的完畢因為這裡面還要合乎到執行死刑規則跟審核死刑案件執行的實施要點現在還在進行這一些的司法救濟程序劉華坤殺害人家的女親吊死她六歲的幼稚小心財這個殺警案殺了兩位警察王培英這個
transcript.whisperx[29].start 719.483
transcript.whisperx[29].end 738.47
transcript.whisperx[29].text 也是預謀奪槍殺警這些都已經侵犯到我們公權力的執行者警察結果這樣子還是放著那其他更是這些哪一件哪一件不是罪大惡極罪正確鑿罪無可換
transcript.whisperx[30].start 741.012
transcript.whisperx[30].end 765.555
transcript.whisperx[30].text 我們都清楚 憲判的程序一二審他都必須有一定的程序而且他行為時 審判時 到最後要執行時對他個人的精神狀態都要有一定的檢驗精神狀態這個時候我們提過啦精神狀態這個不要提照說要以案發當時他的精神鑑定為主啦結果你能夠刻意的掩飾他們
transcript.whisperx[31].start 767.156
transcript.whisperx[31].end 793.233
transcript.whisperx[31].text 很多人這麼主張 但是現場判下來就不是這樣子對 也造成我們在時間上很大很大的討論還在嚴謹的審理這30件 還剩30件因為你有五件非常上訴嘛 一件已經死亡一件是他自己在獄中死亡我講這31件31件 裡面有一位死亡啦 你回去查一下就知道我現在在講另外一個問題就是說我們的 因為這樣 你看
transcript.whisperx[32].start 794.033
transcript.whisperx[32].end 820.231
transcript.whisperx[32].text 部長你也很清楚啊我們有史以來最高的離職率我們去年有十位檢察官離職耶新北里那前年你們統計我們的檢察官一個月要新收113件案子平均一天要收5到6件還不包括他已經在手上要辦的案子要開庭要寫文書要研壓要到現場等等
transcript.whisperx[33].start 821.432
transcript.whisperx[33].end 847.89
transcript.whisperx[33].text 還有最大的原因因為層出不窮的詐騙案我們今年光1到3月新收案件18萬件裡面就有6萬件是詐欺案詐欺案又特別難辦地點總部設在國外要透過剛剛講的那麼多的LINE LAMETA這些公司去幫我們到收證所以結論民眾的公道都得不到都一直拖延
transcript.whisperx[34].start 848.47
transcript.whisperx[34].end 871.788
transcript.whisperx[34].text 民事案件審理要186天刑事案件要131天那勞動部更天才院長這你要處理一下勞動部竟然還發了一個文給司法院跟法務部說啊說你們安排停職的時候不要過度密集為什麼以免律師過勞天啊
transcript.whisperx[35].start 874.774
transcript.whisperx[35].end 903.516
transcript.whisperx[35].text 難怪現在那麼多檢察官書記官法官他們要想轉任律師說避免律師過啦那院長部長你們都知道啊在司法的審判當中律師法官檢察官一樣的辛苦不是這樣子嗎怎麼可以厚恥薄彼勞動部竟然發了這樣的文所以院長我希望說你跟勞動部講清楚一下
transcript.whisperx[36].start 904.366
transcript.whisperx[36].end 917.634
transcript.whisperx[36].text 要嘛你就跟律師跟法官跟檢察官跟書記官也這麼說但是我們的法院我們的檢察署有辦法這樣子嗎
transcript.whisperx[37].start 919.059
transcript.whisperx[37].end 946.38
transcript.whisperx[37].text 都已經那麼多的新收案件辦不完就我跟你說一天 欸 一個月113件 一位檢察官喔那每一位檢察官每一天等於新收案件5到6件所以這個部分我希望說在下位期我總質詢前你沒有提出完善的看什麼樣的方式留住我們的檢察官 書記官我們法界這些精英比方說我們
transcript.whisperx[38].start 969.958
transcript.whisperx[38].end 972.482
transcript.whisperx[38].text 好 謝謝王委員 謝謝卓院長