IVOD_ID |
160988 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160988 |
日期 |
2025-05-07 |
會議資料.會議代碼 |
委員會-11-3-36-15 |
會議資料.會議代碼:str |
第11屆第3會期司法及法制委員會第15次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
15 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
36 |
會議資料.委員會代碼:str[0] |
司法及法制委員會 |
會議資料.標題 |
第11屆第3會期司法及法制委員會第15次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-07T09:51:49+08:00 |
結束時間 |
2025-05-07T10:15:26+08:00 |
影片長度 |
00:23:37 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0a74d2e02c378e06c4e8158c0879a7cc115e7528c8151ef55b504e8793ebcb1131f66945a42017395ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
吳宗憲 |
委員發言時間 |
09:51:49 - 10:15:26 |
會議時間 |
2025-05-07T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期司法及法制委員會第15次全體委員會議(事由:邀請司法院副秘書長、法務部部長、法務部調查局局長、行政院打擊詐欺指揮中心指揮官、內政部警政署署長、數位發展部、國家通訊傳播委員會、金融監督管理委員會率所屬相關單位列席就「臺灣遭聯合國警示為東亞、東南亞跨國詐欺集團據點之檢討與防範,及打詐四法與相關子法施行後之具體成效」進行專題報告,並備質詢。
【5月5日及7日兩天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
1.36409375 |
transcript.pyannote[0].end |
8.60346875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
18.00284375 |
transcript.pyannote[1].end |
20.71971875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
18.99846875 |
transcript.pyannote[2].end |
19.04909375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
19.04909375 |
transcript.pyannote[3].end |
19.13346875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
19.13346875 |
transcript.pyannote[4].end |
19.26846875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
19.26846875 |
transcript.pyannote[5].end |
19.31909375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
21.31034375 |
transcript.pyannote[6].end |
26.91284375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
27.19971875 |
transcript.pyannote[7].end |
27.77346875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
27.95909375 |
transcript.pyannote[8].end |
36.64971875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
37.51034375 |
transcript.pyannote[9].end |
39.83909375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
40.07534375 |
transcript.pyannote[10].end |
62.23221875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
62.70471875 |
transcript.pyannote[11].end |
83.62971875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
83.93346875 |
transcript.pyannote[12].end |
93.77159375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
94.14284375 |
transcript.pyannote[13].end |
95.35784375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
95.61096875 |
transcript.pyannote[14].end |
100.36971875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
101.53409375 |
transcript.pyannote[15].end |
102.71534375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
103.05284375 |
transcript.pyannote[16].end |
123.96096875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
124.43346875 |
transcript.pyannote[17].end |
151.41659375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
151.70346875 |
transcript.pyannote[18].end |
156.51284375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
156.52971875 |
transcript.pyannote[19].end |
163.02659375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
163.48221875 |
transcript.pyannote[20].end |
182.70284375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
183.44534375 |
transcript.pyannote[21].end |
232.06221875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
232.39971875 |
transcript.pyannote[22].end |
237.05721875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
237.71534375 |
transcript.pyannote[23].end |
251.28284375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
251.90721875 |
transcript.pyannote[24].end |
264.76596875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
262.01534375 |
transcript.pyannote[25].end |
262.97721875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
263.75346875 |
transcript.pyannote[26].end |
287.12534375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
287.74971875 |
transcript.pyannote[27].end |
288.30659375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
288.86346875 |
transcript.pyannote[28].end |
296.37284375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
296.96346875 |
transcript.pyannote[29].end |
306.70034375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
306.90284375 |
transcript.pyannote[30].end |
328.09784375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
328.85721875 |
transcript.pyannote[31].end |
332.89034375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
333.27846875 |
transcript.pyannote[32].end |
334.42596875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
335.03346875 |
transcript.pyannote[33].end |
337.49721875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
337.71659375 |
transcript.pyannote[34].end |
342.32346875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
342.86346875 |
transcript.pyannote[35].end |
346.17096875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
346.32284375 |
transcript.pyannote[36].end |
368.83409375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
368.96909375 |
transcript.pyannote[37].end |
377.99721875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
378.57096875 |
transcript.pyannote[38].end |
381.10221875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
379.60034375 |
transcript.pyannote[39].end |
379.70159375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
379.70159375 |
transcript.pyannote[40].end |
379.75221875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
381.35534375 |
transcript.pyannote[41].end |
383.75159375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
384.49409375 |
transcript.pyannote[42].end |
392.47596875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
392.94846875 |
transcript.pyannote[43].end |
394.73721875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
395.02409375 |
transcript.pyannote[44].end |
401.06534375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
401.23409375 |
transcript.pyannote[45].end |
406.29659375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
406.49909375 |
transcript.pyannote[46].end |
407.98409375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
408.49034375 |
transcript.pyannote[47].end |
409.82346875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
410.22846875 |
transcript.pyannote[48].end |
415.03784375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
415.18971875 |
transcript.pyannote[49].end |
415.96596875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
416.20221875 |
transcript.pyannote[50].end |
429.61784375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
430.05659375 |
transcript.pyannote[51].end |
430.96784375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
431.08596875 |
transcript.pyannote[52].end |
436.84034375 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
437.54909375 |
transcript.pyannote[53].end |
439.42221875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
439.60784375 |
transcript.pyannote[54].end |
452.83784375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
453.02346875 |
transcript.pyannote[55].end |
476.74971875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
455.82471875 |
transcript.pyannote[56].end |
458.10284375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
459.43596875 |
transcript.pyannote[57].end |
459.48659375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
459.48659375 |
transcript.pyannote[58].end |
460.11096875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
460.11096875 |
transcript.pyannote[59].end |
460.24596875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
460.46534375 |
transcript.pyannote[60].end |
460.56659375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
460.56659375 |
transcript.pyannote[61].end |
461.25846875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
461.25846875 |
transcript.pyannote[62].end |
461.27534375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
462.52409375 |
transcript.pyannote[63].end |
462.54096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
462.54096875 |
transcript.pyannote[64].end |
464.14409375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
464.14409375 |
transcript.pyannote[65].end |
464.21159375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
464.65034375 |
transcript.pyannote[66].end |
468.02534375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
476.85096875 |
transcript.pyannote[67].end |
496.12221875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
477.00284375 |
transcript.pyannote[68].end |
477.96471875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
477.96471875 |
transcript.pyannote[69].end |
478.79159375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
496.56096875 |
transcript.pyannote[70].end |
506.26409375 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
506.78721875 |
transcript.pyannote[71].end |
509.43659375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
510.02721875 |
transcript.pyannote[72].end |
528.52221875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
528.82596875 |
transcript.pyannote[73].end |
537.44909375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
537.55034375 |
transcript.pyannote[74].end |
538.34346875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
539.50784375 |
transcript.pyannote[75].end |
540.16596875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
541.00971875 |
transcript.pyannote[76].end |
541.49909375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
541.80284375 |
transcript.pyannote[77].end |
544.24971875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
544.38471875 |
transcript.pyannote[78].end |
549.07596875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
549.39659375 |
transcript.pyannote[79].end |
558.08721875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
558.35721875 |
transcript.pyannote[80].end |
568.90409375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
569.27534375 |
transcript.pyannote[81].end |
570.89534375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
571.51971875 |
transcript.pyannote[82].end |
573.05534375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
573.78096875 |
transcript.pyannote[83].end |
575.89034375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
576.34596875 |
transcript.pyannote[84].end |
578.86034375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
579.51846875 |
transcript.pyannote[85].end |
583.43346875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
583.72034375 |
transcript.pyannote[86].end |
584.64846875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
585.34034375 |
transcript.pyannote[87].end |
591.70221875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
592.34346875 |
transcript.pyannote[88].end |
595.17846875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
596.00534375 |
transcript.pyannote[89].end |
596.62971875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
596.93346875 |
transcript.pyannote[90].end |
605.25284375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
607.37909375 |
transcript.pyannote[91].end |
608.17221875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
608.13846875 |
transcript.pyannote[92].end |
627.57846875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
608.23971875 |
transcript.pyannote[93].end |
608.25659375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
612.00284375 |
transcript.pyannote[94].end |
614.26409375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
627.91596875 |
transcript.pyannote[95].end |
647.33909375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
648.30096875 |
transcript.pyannote[96].end |
653.04284375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
653.76846875 |
transcript.pyannote[97].end |
660.46784375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
660.63659375 |
transcript.pyannote[98].end |
665.07471875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
665.56409375 |
transcript.pyannote[99].end |
685.74659375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
686.84346875 |
transcript.pyannote[100].end |
687.88971875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
689.91471875 |
transcript.pyannote[101].end |
690.37034375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
691.19721875 |
transcript.pyannote[102].end |
694.58909375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
695.24721875 |
transcript.pyannote[103].end |
698.65596875 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
700.46159375 |
transcript.pyannote[104].end |
703.71846875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
704.44409375 |
transcript.pyannote[105].end |
707.49846875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
707.92034375 |
transcript.pyannote[106].end |
709.43909375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
710.04659375 |
transcript.pyannote[107].end |
712.17284375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
712.74659375 |
transcript.pyannote[108].end |
713.69159375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
714.06284375 |
transcript.pyannote[109].end |
716.03721875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
716.61096875 |
transcript.pyannote[110].end |
718.01159375 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
718.53471875 |
transcript.pyannote[111].end |
722.24721875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
723.14159375 |
transcript.pyannote[112].end |
723.83346875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
724.52534375 |
transcript.pyannote[113].end |
729.46971875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
730.00971875 |
transcript.pyannote[114].end |
730.39784375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
730.87034375 |
transcript.pyannote[115].end |
732.33846875 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
732.60846875 |
transcript.pyannote[116].end |
734.43096875 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
734.97096875 |
transcript.pyannote[117].end |
736.30409375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
737.04659375 |
transcript.pyannote[118].end |
737.48534375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
737.90721875 |
transcript.pyannote[119].end |
740.91096875 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
741.61971875 |
transcript.pyannote[120].end |
743.83034375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
744.43784375 |
transcript.pyannote[121].end |
745.65284375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
745.78784375 |
transcript.pyannote[122].end |
753.63471875 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
754.52909375 |
transcript.pyannote[123].end |
756.62159375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
755.55846875 |
transcript.pyannote[124].end |
765.51471875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
760.58721875 |
transcript.pyannote[125].end |
761.05971875 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
761.31284375 |
transcript.pyannote[126].end |
762.32534375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
762.84846875 |
transcript.pyannote[127].end |
763.32096875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
765.59909375 |
transcript.pyannote[128].end |
771.03284375 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
766.67909375 |
transcript.pyannote[129].end |
772.43346875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
771.03284375 |
transcript.pyannote[130].end |
772.24784375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
772.43346875 |
transcript.pyannote[131].end |
772.61909375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
772.61909375 |
transcript.pyannote[132].end |
772.95659375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
772.95659375 |
transcript.pyannote[133].end |
773.26034375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
773.26034375 |
transcript.pyannote[134].end |
773.37846875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
773.37846875 |
transcript.pyannote[135].end |
781.34346875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
773.90159375 |
transcript.pyannote[136].end |
774.84659375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
781.84971875 |
transcript.pyannote[137].end |
789.19034375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
782.28846875 |
transcript.pyannote[138].end |
782.74409375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
784.56659375 |
transcript.pyannote[139].end |
811.51596875 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
812.03909375 |
transcript.pyannote[140].end |
823.58159375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
824.12159375 |
transcript.pyannote[141].end |
833.11596875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
834.24659375 |
transcript.pyannote[142].end |
835.98471875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
836.72721875 |
transcript.pyannote[143].end |
842.59971875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
842.97096875 |
transcript.pyannote[144].end |
849.40034375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
850.27784375 |
transcript.pyannote[145].end |
853.99034375 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
854.47971875 |
transcript.pyannote[146].end |
855.25596875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
855.57659375 |
transcript.pyannote[147].end |
862.46159375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
863.18721875 |
transcript.pyannote[148].end |
875.21909375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
875.60721875 |
transcript.pyannote[149].end |
876.78846875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
877.32846875 |
transcript.pyannote[150].end |
882.79596875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
882.91409375 |
transcript.pyannote[151].end |
886.17096875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
887.06534375 |
transcript.pyannote[152].end |
887.38596875 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
887.62221875 |
transcript.pyannote[153].end |
889.86659375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
890.74409375 |
transcript.pyannote[154].end |
891.21659375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
891.55409375 |
transcript.pyannote[155].end |
892.83659375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
893.44409375 |
transcript.pyannote[156].end |
899.31659375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
899.90721875 |
transcript.pyannote[157].end |
901.84784375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
902.33721875 |
transcript.pyannote[158].end |
906.70784375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
907.09596875 |
transcript.pyannote[159].end |
910.13346875 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
910.47096875 |
transcript.pyannote[160].end |
916.24221875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
916.66409375 |
transcript.pyannote[161].end |
924.74721875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
925.69221875 |
transcript.pyannote[162].end |
926.78909375 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
927.10971875 |
transcript.pyannote[163].end |
929.52284375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
929.94471875 |
transcript.pyannote[164].end |
933.16784375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
933.42096875 |
transcript.pyannote[165].end |
934.87221875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
935.22659375 |
transcript.pyannote[166].end |
935.51346875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
935.80034375 |
transcript.pyannote[167].end |
939.49596875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
939.78284375 |
transcript.pyannote[168].end |
948.54096875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
941.26784375 |
transcript.pyannote[169].end |
941.36909375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
949.08096875 |
transcript.pyannote[170].end |
949.18221875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
949.62096875 |
transcript.pyannote[171].end |
955.76346875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
956.08409375 |
transcript.pyannote[172].end |
956.87721875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
957.06284375 |
transcript.pyannote[173].end |
968.13284375 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
968.20034375 |
transcript.pyannote[174].end |
969.44909375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
969.44909375 |
transcript.pyannote[175].end |
969.46596875 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
970.24221875 |
transcript.pyannote[176].end |
970.25909375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
970.25909375 |
transcript.pyannote[177].end |
981.51471875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
980.13096875 |
transcript.pyannote[178].end |
995.70659375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
981.63284375 |
transcript.pyannote[179].end |
985.95284375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
987.52221875 |
transcript.pyannote[180].end |
987.67409375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
995.97659375 |
transcript.pyannote[181].end |
996.51659375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
996.51659375 |
transcript.pyannote[182].end |
1008.86909375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
996.55034375 |
transcript.pyannote[183].end |
1000.51596875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
1007.36721875 |
transcript.pyannote[184].end |
1007.97471875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
1007.97471875 |
transcript.pyannote[185].end |
1008.78471875 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
1008.97034375 |
transcript.pyannote[186].end |
1024.86659375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
1010.23596875 |
transcript.pyannote[187].end |
1010.50596875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
1011.33284375 |
transcript.pyannote[188].end |
1015.46721875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
1022.41971875 |
transcript.pyannote[189].end |
1023.01034375 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
1025.64284375 |
transcript.pyannote[190].end |
1030.03034375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
1030.51971875 |
transcript.pyannote[191].end |
1038.45096875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
1032.42659375 |
transcript.pyannote[192].end |
1034.97471875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
1037.55659375 |
transcript.pyannote[193].end |
1037.96159375 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
1037.96159375 |
transcript.pyannote[194].end |
1037.99534375 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
1039.14284375 |
transcript.pyannote[195].end |
1042.48409375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
1043.09159375 |
transcript.pyannote[196].end |
1057.03034375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
1057.13159375 |
transcript.pyannote[197].end |
1063.17284375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
1061.89034375 |
transcript.pyannote[198].end |
1062.48096875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
1063.45971875 |
transcript.pyannote[199].end |
1072.33596875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
1070.44596875 |
transcript.pyannote[200].end |
1071.25596875 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
1073.09534375 |
transcript.pyannote[201].end |
1077.55034375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
1074.98534375 |
transcript.pyannote[202].end |
1077.46596875 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
1078.20846875 |
transcript.pyannote[203].end |
1108.97159375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
1082.12346875 |
transcript.pyannote[204].end |
1083.77721875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
1088.78909375 |
transcript.pyannote[205].end |
1088.87346875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
1088.87346875 |
transcript.pyannote[206].end |
1090.13909375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
1097.10846875 |
transcript.pyannote[207].end |
1105.96784375 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
1111.38471875 |
transcript.pyannote[208].end |
1141.59096875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
1112.59971875 |
transcript.pyannote[209].end |
1113.83159375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
1126.20096875 |
transcript.pyannote[210].end |
1133.03534375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
1133.03534375 |
transcript.pyannote[211].end |
1135.63409375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
1135.63409375 |
transcript.pyannote[212].end |
1135.76909375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
1135.87034375 |
transcript.pyannote[213].end |
1135.95471875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
1135.95471875 |
transcript.pyannote[214].end |
1136.52846875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
1141.89471875 |
transcript.pyannote[215].end |
1148.93159375 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
1149.58971875 |
transcript.pyannote[216].end |
1170.95346875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
1156.13721875 |
transcript.pyannote[217].end |
1156.50846875 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
1158.65159375 |
transcript.pyannote[218].end |
1158.66846875 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
1158.66846875 |
transcript.pyannote[219].end |
1161.73971875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
1162.00971875 |
transcript.pyannote[220].end |
1162.97159375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
1162.97159375 |
transcript.pyannote[221].end |
1164.82784375 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
1171.24034375 |
transcript.pyannote[222].end |
1179.03659375 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
1179.71159375 |
transcript.pyannote[223].end |
1182.69846875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
1182.88409375 |
transcript.pyannote[224].end |
1191.50721875 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
1191.97971875 |
transcript.pyannote[225].end |
1193.83596875 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
1194.42659375 |
transcript.pyannote[226].end |
1194.94971875 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
1195.60784375 |
transcript.pyannote[227].end |
1209.20909375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
1197.43034375 |
transcript.pyannote[228].end |
1200.43409375 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
1210.01909375 |
transcript.pyannote[229].end |
1217.83221875 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
1218.47346875 |
transcript.pyannote[230].end |
1218.70971875 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
1218.74346875 |
transcript.pyannote[231].end |
1221.83159375 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
1218.77721875 |
transcript.pyannote[232].end |
1219.09784375 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
1219.13159375 |
transcript.pyannote[233].end |
1219.35096875 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
1220.04284375 |
transcript.pyannote[234].end |
1220.12721875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
1220.16096875 |
transcript.pyannote[235].end |
1220.75159375 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
1222.50659375 |
transcript.pyannote[236].end |
1223.70471875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
1224.36284375 |
transcript.pyannote[237].end |
1236.76596875 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
1237.22159375 |
transcript.pyannote[238].end |
1240.14096875 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
1240.47846875 |
transcript.pyannote[239].end |
1244.34284375 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
1241.40659375 |
transcript.pyannote[240].end |
1243.17846875 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
1243.65096875 |
transcript.pyannote[241].end |
1243.98846875 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
1244.59596875 |
transcript.pyannote[242].end |
1258.34909375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
1244.89971875 |
transcript.pyannote[243].end |
1245.10221875 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
1250.16471875 |
transcript.pyannote[244].end |
1250.19846875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
1250.19846875 |
transcript.pyannote[245].end |
1250.85659375 |
transcript.pyannote[246].speaker |
SPEAKER_02 |
transcript.pyannote[246].start |
1258.75409375 |
transcript.pyannote[246].end |
1261.70721875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
1258.80471875 |
transcript.pyannote[247].end |
1262.53409375 |
transcript.pyannote[248].speaker |
SPEAKER_02 |
transcript.pyannote[248].start |
1262.53409375 |
transcript.pyannote[248].end |
1262.92221875 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
1262.92221875 |
transcript.pyannote[249].end |
1262.95596875 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
1263.31034375 |
transcript.pyannote[250].end |
1263.34409375 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
1263.36096875 |
transcript.pyannote[251].end |
1273.30034375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
1263.47909375 |
transcript.pyannote[252].end |
1266.31409375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
1270.38096875 |
transcript.pyannote[253].end |
1270.65096875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
1273.30034375 |
transcript.pyannote[254].end |
1273.41846875 |
transcript.pyannote[255].speaker |
SPEAKER_02 |
transcript.pyannote[255].start |
1273.41846875 |
transcript.pyannote[255].end |
1280.86034375 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
1273.45221875 |
transcript.pyannote[256].end |
1275.24096875 |
transcript.pyannote[257].speaker |
SPEAKER_02 |
transcript.pyannote[257].start |
1281.04596875 |
transcript.pyannote[257].end |
1285.75409375 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
1281.43409375 |
transcript.pyannote[258].end |
1282.14284375 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
1283.49284375 |
transcript.pyannote[259].end |
1285.72034375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
1285.75409375 |
transcript.pyannote[260].end |
1285.78784375 |
transcript.pyannote[261].speaker |
SPEAKER_02 |
transcript.pyannote[261].start |
1286.20971875 |
transcript.pyannote[261].end |
1288.15034375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
1286.81721875 |
transcript.pyannote[262].end |
1287.99846875 |
transcript.pyannote[263].speaker |
SPEAKER_02 |
transcript.pyannote[263].start |
1288.31909375 |
transcript.pyannote[263].end |
1300.14846875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
1290.78284375 |
transcript.pyannote[264].end |
1294.57971875 |
transcript.pyannote[265].speaker |
SPEAKER_02 |
transcript.pyannote[265].start |
1300.50284375 |
transcript.pyannote[265].end |
1301.41409375 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
1302.34221875 |
transcript.pyannote[266].end |
1307.74221875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
1305.88596875 |
transcript.pyannote[267].end |
1307.87721875 |
transcript.pyannote[268].speaker |
SPEAKER_02 |
transcript.pyannote[268].start |
1307.87721875 |
transcript.pyannote[268].end |
1308.07971875 |
transcript.pyannote[269].speaker |
SPEAKER_02 |
transcript.pyannote[269].start |
1308.14721875 |
transcript.pyannote[269].end |
1308.46784375 |
transcript.pyannote[270].speaker |
SPEAKER_02 |
transcript.pyannote[270].start |
1309.88534375 |
transcript.pyannote[270].end |
1311.21846875 |
transcript.pyannote[271].speaker |
SPEAKER_02 |
transcript.pyannote[271].start |
1311.70784375 |
transcript.pyannote[271].end |
1320.95534375 |
transcript.pyannote[272].speaker |
SPEAKER_02 |
transcript.pyannote[272].start |
1321.88346875 |
transcript.pyannote[272].end |
1332.04221875 |
transcript.pyannote[273].speaker |
SPEAKER_02 |
transcript.pyannote[273].start |
1332.56534375 |
transcript.pyannote[273].end |
1334.13471875 |
transcript.pyannote[274].speaker |
SPEAKER_02 |
transcript.pyannote[274].start |
1334.32034375 |
transcript.pyannote[274].end |
1335.95721875 |
transcript.pyannote[275].speaker |
SPEAKER_02 |
transcript.pyannote[275].start |
1336.96971875 |
transcript.pyannote[275].end |
1350.90846875 |
transcript.pyannote[276].speaker |
SPEAKER_02 |
transcript.pyannote[276].start |
1351.29659375 |
transcript.pyannote[276].end |
1355.09346875 |
transcript.pyannote[277].speaker |
SPEAKER_02 |
transcript.pyannote[277].start |
1355.54909375 |
transcript.pyannote[277].end |
1366.34909375 |
transcript.pyannote[278].speaker |
SPEAKER_02 |
transcript.pyannote[278].start |
1367.36159375 |
transcript.pyannote[278].end |
1367.83409375 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
1368.03659375 |
transcript.pyannote[279].end |
1368.59346875 |
transcript.pyannote[280].speaker |
SPEAKER_02 |
transcript.pyannote[280].start |
1368.86346875 |
transcript.pyannote[280].end |
1372.44096875 |
transcript.pyannote[281].speaker |
SPEAKER_02 |
transcript.pyannote[281].start |
1372.71096875 |
transcript.pyannote[281].end |
1373.13284375 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
1373.80784375 |
transcript.pyannote[282].end |
1374.75284375 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
1375.15784375 |
transcript.pyannote[283].end |
1379.19096875 |
transcript.pyannote[284].speaker |
SPEAKER_02 |
transcript.pyannote[284].start |
1379.39346875 |
transcript.pyannote[284].end |
1382.59971875 |
transcript.pyannote[285].speaker |
SPEAKER_02 |
transcript.pyannote[285].start |
1383.15659375 |
transcript.pyannote[285].end |
1386.07596875 |
transcript.pyannote[286].speaker |
SPEAKER_02 |
transcript.pyannote[286].start |
1386.98721875 |
transcript.pyannote[286].end |
1409.22846875 |
transcript.pyannote[287].speaker |
SPEAKER_00 |
transcript.pyannote[287].start |
1404.92534375 |
transcript.pyannote[287].end |
1408.95846875 |
transcript.pyannote[288].speaker |
SPEAKER_02 |
transcript.pyannote[288].start |
1409.26221875 |
transcript.pyannote[288].end |
1415.06721875 |
transcript.pyannote[289].speaker |
SPEAKER_00 |
transcript.pyannote[289].start |
1411.91159375 |
transcript.pyannote[289].end |
1412.40096875 |
transcript.pyannote[290].speaker |
SPEAKER_00 |
transcript.pyannote[290].start |
1413.36284375 |
transcript.pyannote[290].end |
1414.54409375 |
transcript.whisperx[0].start |
1.38 |
transcript.whisperx[0].end |
8.259 |
transcript.whisperx[0].text |
好 謝謝主席 那我們麻煩法務部長 調查局局長以及署長 警政署署長 |
transcript.whisperx[1].start |
19.542 |
transcript.whisperx[1].end |
34.693 |
transcript.whisperx[1].text |
三位早安三位還是辛苦了謝謝三位對國家的貢獻我先請教署長我現在有個問題要請教就是說我現在還是蠻肯定就是說警政署在打造上面的努力 |
transcript.whisperx[2].start |
37.575 |
transcript.whisperx[2].end |
61.404 |
transcript.whisperx[2].text |
因為警察消防這些人其實就是真的在捍衛我們台灣的啦那其實捍衛台灣的不是什麼黑熊學院或是側翼網軍那真正我一直以來都很敬佩警察消防或海巡這些同仁那署長最近一直有人跟我提到說有不同警察局的人跟我提到不是分局警察局的人跟我提到說有些訓練 |
transcript.whisperx[3].start |
62.765 |
transcript.whisperx[3].end |
80.045 |
transcript.whisperx[3].text |
教育訓練呢 都請一些很奇怪的人來講甚至一些紙上談兵的人來講他們就很懷疑說 他們一輩子穿防彈衣配槍在做事情的就現在來對他們教育訓練的人是根本不懂的那當然啦 這些人是從哪裡來 我想大家都猜得到 |
transcript.whisperx[4].start |
80.746 |
transcript.whisperx[4].end |
100.152 |
transcript.whisperx[4].text |
所以我就覺得啦國家的預算不能獨厚特定的某一個團體那請那些人那些外行人來對內行一輩子配槍穿防彈衣的人去講解這些事情其實我覺得有一點是外行在領導內行那我這跟署長報告再麻煩署長能夠了解一下 |
transcript.whisperx[5].start |
101.567 |
transcript.whisperx[5].end |
123.487 |
transcript.whisperx[5].text |
那我覺得最近這個打詐的問題其實非常多一直是國人很在意的那被騙的金額從去年有時候平均一天要到四億被詐騙那今年最新的數據至少還有兩億多那總統他說警察打詐不利破壞率只有1.3%但是我當然是在這邊跟各位國人報告其實真正的問題 |
transcript.whisperx[6].start |
124.548 |
transcript.whisperx[6].end |
150.442 |
transcript.whisperx[6].text |
是出在行政機關沒有做前期的控管署長你認同這句話嗎認同就是說所有打詐這東西應該重點不是在於最後的司法機關不是法務部的問題不是警政署的問題真正打詐的問題應該是你行政機關譬如說你對於Google、Maple等等他們投放廣告的控管但是目前在我國的這個控管真的非常的不足所以導致後面司法機關檢察官 |
transcript.whisperx[7].start |
151.863 |
transcript.whisperx[7].end |
179.638 |
transcript.whisperx[7].text |
警察非常的辛苦 而且還被怪說你們破獲率為什麼這麼低 這是不對而政人總統其實不去體恤警察啦一直說警察要市民如親 生活要簡約但他自己在官邸開那個烤肉趴 我比較希望說當然開那個是還好 但是你應該還是要多給警察一些鼓勵啦那我想請教署長 依照社會秩序文物法第63條散播謠言足以影響公共安寧那我想 影響公共安寧啊 這個 |
transcript.whisperx[8].start |
180.818 |
transcript.whisperx[8].end |
205.997 |
transcript.whisperx[8].text |
這個依照實務的見解就是應該是一些不實的訊息嘛或讓聽到的人會感覺到恐懼等等對不對對好那我想請問一下最近有一個議題吵很兇就是那個陳菊走了然後一個問號那警察在4小時內就抓到那現在很多網友就有意見啊他就說哇這個警察辦詐欺如果可以這麼厲害的話大家就不會這麼辛苦那 |
transcript.whisperx[9].start |
206.557 |
transcript.whisperx[9].end |
229.416 |
transcript.whisperx[9].text |
還有人說 現在連提問都不行了嗎那更何況很多媒體 政論節目或YouTuber他們常常說誰誰誰貪污打一個問號從來沒有見到你們查辦耶那為什麼這一件你們可以這樣查辦那另外就是說他今天來詢問一個問題甚至一個公眾人物有時候是可受公平的思想尤其院長這麼久都沒有來上班人民提出這個問題我想說這個到底是 |
transcript.whisperx[10].start |
232.658 |
transcript.whisperx[10].end |
236.264 |
transcript.whisperx[10].text |
違反了什麼法規 另外聽到這句話你會感到害怕嗎 請問署長 |
transcript.whisperx[11].start |
238.285 |
transcript.whisperx[11].end |
265.469 |
transcript.whisperx[11].text |
法務委員我想這個是一個個案那個案的這個狀況如果說是不是一個事實那因為我們第一時間大概就是會了解他的這個網址上的這個人嘛這個人去了解完之後大概會了解他所講的是不是一個狀況一個事實事實我們會如果有一些目的我們會請這檢察官來做一個這個會造成社會的恐慌 |
transcript.whisperx[12].start |
266.189 |
transcript.whisperx[12].end |
286.987 |
transcript.whisperx[12].text |
然後在上面寫了一句 而且這一句是經常性的在各個媒體上常看到但是媒體沒有人被辦YouTube沒有人被辦結果一個小老百姓寫了這句 他還是問到底有沒有這件事情那就被辦了就像其實常常有人寫說金正恩是不是過世西方媒體也常常在報導但是從來沒有人去管這些事情所以我一直覺得 |
transcript.whisperx[13].start |
287.788 |
transcript.whisperx[13].end |
305.768 |
transcript.whisperx[13].text |
因為我們對於警察的信任以及對於社會安全安定感覺會在這幾件小事情上面就會破壞殆盡所以你要知道很多網友在講這件事很多人在講這些事情那這個對警察給社會的安定感整個就毀了原來我可以談天談地但是不能談花嗎 |
transcript.whisperx[14].start |
307.69 |
transcript.whisperx[14].end |
326.902 |
transcript.whisperx[14].text |
甚至他這個可能他沒有別的意思啊他只問說因為當時確實有人在做這個傳說連我自己都聽到這個謠言但是只是我不會上網去問那有人聽到發了這個問結果你竟然要用司法用警察下去處理就會造成社會的不安而且你剛剛說你剛剛講了真偽內容真偽 |
transcript.whisperx[15].start |
328.923 |
transcript.whisperx[15].end |
341.79 |
transcript.whisperx[15].text |
那如果這個要辦的話 那前陣子那個劉四芳談到的租屋補貼 張冠禮帶也被踢破了洪聲翰講的育嬰劉子廷那個補貼也被踢爆了 根本沒這件事林佳龍講的那個護照沒有錢印了 |
transcript.whisperx[16].start |
344.651 |
transcript.whisperx[16].end |
365.649 |
transcript.whisperx[16].text |
後來也發現沒有這個事情然後張純涵說那個中小企業補助都被藍白刪除後來發現也沒這個事那這個不是對社會影響更大嗎那為什麼貴署都沒有去查辦呢這是我問題如果你只講內容的真偽那這些部長這些總統府的副秘書長他們幹的事情是更糟糕更不應該的就問你們 |
transcript.whisperx[17].start |
366.149 |
transcript.whisperx[17].end |
382.934 |
transcript.whisperx[17].text |
不當一回事一個小老百姓你們卻處理成這樣那我跟署長說這一點其實我們是不滿那再請署長這邊了解一下那個局長局長不好意思局長我想跟局長請教一下因為那一天齁那一天我跟你請問了 |
transcript.whisperx[18].start |
384.674 |
transcript.whisperx[18].end |
406.033 |
transcript.whisperx[18].text |
並同待回這件事啦 因為還有包括部長其實同一個問題你們那天其實沒有給到我答案然後局長你甚至你說這個是因為那份公文不應該出現在現場而且你說我沒有看過公文 其實我看過公文啦你可以質疑說這份公文也許不是去領取表格的必要的公文 |
transcript.whisperx[19].start |
406.593 |
transcript.whisperx[19].end |
429.446 |
transcript.whisperx[19].text |
因為第一時間領取的人去問中選會跟他說這份公文要帶所以他們一直認為這份一定要帶但是我覺得要不要帶著去請領這個聯署書這個不是重點而是這份公文是不是應該被扣押我跟局長報告扣押的定義是對於本案或他案的犯罪證物可以扣押第二個對於違禁品 |
transcript.whisperx[20].start |
430.306 |
transcript.whisperx[20].end |
452.638 |
transcript.whisperx[20].text |
這個可以扣押 但是呢 對於非違禁品的東西非本案或他案的犯罪證物 這沒有扣押的依據再來你說那份公文不該出現在那裡 我跟局長報告當天是聯署那個發起人 他們請黨部的人一個人去幫他帶領所以他把身份證委託書全部都交給黨部的人 |
transcript.whisperx[21].start |
453.118 |
transcript.whisperx[21].end |
476.214 |
transcript.whisperx[21].text |
所以你一直說這個東西不該出現那裡 其實這沒有任何依據那個現場是因為檢察官帶隊嘛所以甲官 我以為你講的是事後去了解那甲官他在現場覺得說他需要釐清所以甲官把他扣押回來這個是我事後跟你說 你說這個東西不該出現在那裡我必須跟你講的第一個 他該不該出現在那裡 沒有任何法律說不可以出現在那裡 |
transcript.whisperx[22].start |
476.954 |
transcript.whisperx[22].end |
494.903 |
transcript.whisperx[22].text |
我的東西 我的罰單 我有時候請別人幫我代繳 他可能會出現在他家那如果你認為那個不應該出現在這個我朋友家 那你就說要扣走這其實不符合我國刑事用法的扣押依據這我要跟局長報告 我現在講每一句話 我都說我在國會來 我講每一句話 歡迎大家去檢視我哪一句話講錯 所以 |
transcript.whisperx[23].start |
496.644 |
transcript.whisperx[23].end |
521.608 |
transcript.whisperx[23].text |
局長您說不該出現在那裡 所以要扣回去釐清這個完全沒有法律依據這個檢察官在現場判斷對 我們就推給檢察官 所以說檢察官不應該好 而且更何況是一個合法的公文 他不是違禁品那我在這邊跟各位報告 這個東西根本不應該扣對於不得查扣的東西去進行查扣 這就不對了所以我禮拜一才會引用總統府的例子就像你去這個人家搜索 |
transcript.whisperx[24].start |
522.248 |
transcript.whisperx[24].end |
539.987 |
transcript.whisperx[24].text |
結果他竊盜罪你要去搜犯罪工具結果你把他女朋友寫給他情書一起扣回去想欣賞一下這樣就不對了所以你們說的這個東西其實我是沒有辦法接受就好像什麼來我們再來看一下 |
transcript.whisperx[25].start |
541.058 |
transcript.whisperx[25].end |
568.695 |
transcript.whisperx[25].text |
其實最近為什麼我一直說你們是選擇性辦案因為你就大炮打小鳥違反比例原則啊而且違反司法獨立的一致性所以真正在迫害司法威信的其實是這些人就是選擇性辦案的這些人然後我也跟部長報告一件事情我一直捍衛檢察官的司法官屬性一堆人想要把檢察官司法官屬性拔掉部長您很清楚我一直拼了命的在希望維持檢察官的司法官屬性 |
transcript.whisperx[26].start |
569.355 |
transcript.whisperx[26].end |
594.561 |
transcript.whisperx[26].text |
如果說再這樣搞下去人家會覺得你檢察官都是檢查一體就是直接命令就幹了啊然後跟著政治人物搖擺啊所以他檢察官市長官屬性還能夠維持嗎我們已經岌岌可危了那我們還要再越多這種案子下來那將來怎麼辦然後再來兩位台中市黨部啊被搜索之後扣走什麼扣走贊助 |
transcript.whisperx[27].start |
596.055 |
transcript.whisperx[27].end |
605.05 |
transcript.whisperx[27].text |
名冊 贊助者名冊還有動員名冊還有歷年的戰情分析請問一下這個東西跟幽靈連署有什麼關聯性我想請教兩位 |
transcript.whisperx[28].start |
608.839 |
transcript.whisperx[28].end |
627.011 |
transcript.whisperx[28].text |
這個都是個案的內容我們都不知道到底在現場沒關係你們都說不知道包括宜蘭的那個也都說不知道那我在這邊跟各位報告這些東西其實都跟幼齡連署無關嘛甚至有很多金主他的戶籍就不在那裡根本不可能參與 |
transcript.whisperx[29].start |
628.192 |
transcript.whisperx[29].end |
646.657 |
transcript.whisperx[29].text |
罷免啊所以你把這個東西扣回去只會讓大家懷疑我想說好就算調查官 檢察官沒有惡意你也會讓民眾懷疑說這是怎麼回事為什麼跟幽靈連署無關的這些重要的知識者資料動員還有一些戰情分析全部都被扣走了那你要扣給誰看 |
transcript.whisperx[30].start |
648.497 |
transcript.whisperx[30].end |
664.814 |
transcript.whisperx[30].text |
這你要扣給誰看所以這都會讓民眾非常的懷疑到底司法為什麼跟政治這樣綁在一起就像什麼就像減掉機關啦我今天去查一個公司續開發票那續開發票違反產業礦氣法稅捐寄生法我應該是查他的一些 |
transcript.whisperx[31].start |
665.655 |
transcript.whisperx[31].end |
685.527 |
transcript.whisperx[31].text |
一些帳冊 船票 AB帳 進貨單 電腦是沖銷的名戲嘛 這是我們當警察官的一個基本概念結果呢 你扣完這個之外 你還要把他的機器一起扣回家原料都要把它扣回家 這樣對嗎好 就像說 珍珠 你去查一個珍珠奶茶有沒有虛開發票就一定把他的牛奶跟珍珠都扣走 |
transcript.whisperx[32].start |
687.029 |
transcript.whisperx[32].end |
709.26 |
transcript.whisperx[32].text |
這不對啊 所以讓我想到一件事 我跟兩位報告我小時候很喜歡看漫畫卡通還有周星馳的電影我突然想到 周星馳有部電影裡面那個皇帝叫韋曉寶去敖拜家抄家 扣他的犯罪所得 |
transcript.whisperx[33].start |
710.103 |
transcript.whisperx[33].end |
735.699 |
transcript.whisperx[33].text |
就周星馳他那個韋曉寶把奧拜漂亮的老婆跟女僕都一起扣走了然後還把奧拜的媽媽叫多榮扣回多榮家去去服侍那我以前小時候看這個覺得很好笑看不懂但我現在今天我都現在此刻我終於懂原來這個就叫做病童帶回就是宜蘭地檢署說的病童帶回因為它不是跟本漢無關啊 |
transcript.whisperx[34].start |
737.076 |
transcript.whisperx[34].end |
752.335 |
transcript.whisperx[34].text |
他跟去豪邁家查扣犯罪所得無關啊那為什麼也被韋曉寶併同帶回所以我現在看到的就是這樣不管台中也是這樣 宜蘭也是這樣你扣了很多跟本案無關的東西然後給我一句話叫做併同帶回 |
transcript.whisperx[35].start |
754.674 |
transcript.whisperx[35].end |
779.786 |
transcript.whisperx[35].text |
我到現在還是沒有辦法接受我想說在這個過程裡面甲官他也都是依法行政然後公正貸執法啦所以他到底扣了什麼內容說實在我也不知道我知道局長你不知道因為你們個案嘛局長可能不知道這個的確是一個個案的問題那有沒有扣到什麼這個是現場 |
transcript.whisperx[36].start |
782.203 |
transcript.whisperx[36].end |
810.982 |
transcript.whisperx[36].text |
檢察院來做一個審查 是不是得為證據之誤沒關係喔 謝謝部長的解釋謝謝部長 我想部長跟局長其實你們比較高位階你可能不了解個案扣了什麼 那我就跟各位報告他們會跟我講被扣了什麼那我聽完這些東西的時候 我只覺得不合理那我在這邊跟兩位懇求司法是百年大計跟教育一樣累積人民的信任真的要上百年但是毀掉可能是幾個案子就毀掉那目前非常多人 包括吳子嘉他的每一島民調 |
transcript.whisperx[37].start |
812.103 |
transcript.whisperx[37].end |
832.87 |
transcript.whisperx[37].text |
其實人民對於司法被政治制度介入 其實他的認知的比例非常高認定是如此的比例非常高那這個都不是民進黨口中司法改革該有的樣貌好 然後 我想 其實民進黨一直講求言論自由啦但是這段時間我們看到的 我在發言一個陳菊走了嗎 我要被查辦 或者是 |
transcript.whisperx[38].start |
834.441 |
transcript.whisperx[38].end |
862.338 |
transcript.whisperx[38].text |
民進黨在黨綱裡面說司法應該是跨越黨派 要獨立審判但是我現在其實看不到 很多時候變成是就只跟自己立場不同我就處理啊這給我感覺好像變成這個樣子就是變成是就是像我們最近看到的嘛英國的經濟學人雜誌還有美國那個卡內基自由基金會他們所提到其實都提到了 |
transcript.whisperx[39].start |
863.423 |
transcript.whisperx[39].end |
885.559 |
transcript.whisperx[39].text |
賴政府在這段時間的作為其實造成我們內部的對立那這個東西會影響到美國會不會拋棄台灣的一個重大變數這是經濟學人講的或是他認為說這個東西如果不管會造成東亞地區的兩岸之間的一個不穩定然後會影響美國這都是國外的砸而且這些譬如說卡內基基金會他對美國政府影響力是很大 |
transcript.whisperx[40].start |
887.94 |
transcript.whisperx[40].end |
901.671 |
transcript.whisperx[40].text |
我是希望啦 不要變成是整個 就是說配合的政府政府這樣做還有就是我也不想跟我以前指導我的老師或者是我以前帶的學級司法官我指導他的 |
transcript.whisperx[41].start |
902.392 |
transcript.whisperx[41].end |
924.117 |
transcript.whisperx[41].text |
在公務上面針鋒相對因為私下我們感情都非常好我真的覺得不應該這樣啦那我覺得最近很多人出來覺得不滿或是美麗島民調很多人對於司法被政治介入不滿那為什麼很多人起來反抗我還再套一句周星馳電影講啦他說其實這些 我跟你講這些反抗人的多少不是藍白政黨決定 |
transcript.whisperx[42].start |
925.754 |
transcript.whisperx[42].end |
948.202 |
transcript.whisperx[42].text |
是執政者決定你今天越倒行逆施反抗的人就越多我也是希望不要我們能夠一片和諧但是我一直等不到這一天的來臨然後再來我最後請教局長局長我看到你們調局給我的報告我上次請問你說為什麼韋道文書的案子你要給他選舉查查的和分然後你在那邊給我的理由其中一個是說 |
transcript.whisperx[43].start |
949.822 |
transcript.whisperx[43].end |
967.65 |
transcript.whisperx[43].text |
這跟選罷法有關那我想請問一下一階的幽靈年署跟選罷法哪一條有關請教請教局長第幾條包委其實我那天跟你回答是說我們這是回歸到選舉查查的績效那我們本局的廉政處在112年的10月7號就已經有函班這個 |
transcript.whisperx[44].start |
970.325 |
transcript.whisperx[44].end |
981.05 |
transcript.whisperx[44].text |
法務部調查局113年總統副總統及立法委員選舉查查專案的績效考慮要點這是在112年的10月就已經函班了那這裡面的第19點你聽我說完你聽我說完這裡面的第19點就已經有 |
transcript.whisperx[45].start |
986.432 |
transcript.whisperx[45].end |
998.402 |
transcript.whisperx[45].text |
有明定了 本次選舉當選人的罷免程序及當選人因罷免而辦理補選其績效考核適用本要點的規定所以這個在2012年底就已經定了我完全認同局長剛說的 |
transcript.whisperx[46].start |
1002.125 |
transcript.whisperx[46].end |
1024.584 |
transcript.whisperx[46].text |
但是請問這跟幽靈連署有什麼關係這個是罷免的程序啊你剛剛講的那個是社辦選罷法那個是社辦選罷法我昨天已經有提供這個要點給委員我有拿到你們給我的資料嘛所以我請教你的問題嘛各地檢署在一接幽靈連署都沒有談到選罷法各地檢署喔那這個就是一個罷免程序啊那今天為什麼調查局可以把 |
transcript.whisperx[47].start |
1026.138 |
transcript.whisperx[47].end |
1034.126 |
transcript.whisperx[47].text |
這個東西突然灌了一個跟選罷法有關用選舉查查去合積分然後突然從一個很低積分變成好幾萬分的積分這個是罷免程序當然是跟選舉罷免有關 |
transcript.whisperx[48].start |
1039.555 |
transcript.whisperx[48].end |
1062.338 |
transcript.whisperx[48].text |
來 局長你這樣說 我請教你過往哪一次罷免我們之前有罷免韓國瑜市長有罷免謝國良市長至少成功鎮哪裡有很多鎮長都有罷免請問一下哪一次罷免期間 連署期間你們有用選舉查查何分我說連署期間這個我們要回去我跟局長報告 |
transcript.whisperx[49].start |
1064.059 |
transcript.whisperx[49].end |
1083.265 |
transcript.whisperx[49].text |
來 請問一下沒有案子沒有 所以這一次就是史上第一次嘛這一次真的是史上第一次發生這樣這麼多的狀況那史上第一次罷免嗎是史上第一次罷免嗎我剛念的韓院長 謝市長台東有一些鎮長還有其他人的罷免案那不是都罷免如果按照局長您說的對我們的績效裡面沒有分藍跟綠 |
transcript.whisperx[50].start |
1086.966 |
transcript.whisperx[50].end |
1102.554 |
transcript.whisperx[50].text |
我沒有說藍綠你不要給我誤導話題我沒有說藍綠我只說過往的罷免如果依照局長您講的這麼正正有詞這麼有道理我也認同你結果過往的過往罷免為什麼沒有犯藍綠的話那委員是擔心說你要用選罷法的績效還是委員擔心作弊被抓有績效 |
transcript.whisperx[51].start |
1111.414 |
transcript.whisperx[51].end |
1128.778 |
transcript.whisperx[51].text |
所以啊 沒有你不要再講作弊了 我上次已經講過一次了我說這就好像什麼 班上兩個人作弊啦一個退學 另外一個罰站五分鐘就坐下因為他老爸是教養會長 他祖子是民進黨好 那即使沒有這樣 我們不講藍綠我們報告局長 我們不講藍綠我只是講例子嘛 為什麼 局長 |
transcript.whisperx[52].start |
1136.84 |
transcript.whisperx[52].end |
1160.107 |
transcript.whisperx[52].text |
局長你不用亂扯那邊我只請教局長過往的罷免這麼多次了請問哪一次在連署期間你們讓調查官大規模出去搜索大規模讓檢察官計壓然後再把核分算為選舉查查的核分請問過去哪一次有其實包委員我們其實都沒有大規模在這個節點的同時我們各類的案件我們各類的案件都同時在執行 |
transcript.whisperx[53].start |
1165.528 |
transcript.whisperx[53].end |
1188.343 |
transcript.whisperx[53].text |
過去哪一次的罷免期間的連署你們有用這個方式去用選舉查查和分請教局長就這問題這麼簡單過去都沒有立案是 所以這是史上第一次我要跟各位報告這是史上第一次很多時候啊 就我講的一個公司啊如果你今天突然把績效獎金提高十倍某一個項目績效獎金提高十倍我跟你講 |
transcript.whisperx[54].start |
1188.743 |
transcript.whisperx[54].end |
1216.84 |
transcript.whisperx[54].text |
全公司不會有人做別的事全部去衝那個績效那個獎金的那個項目所以我覺得這個不應該啦就是因為過去沒有現在突然有不是突然有我就跟您報告了嘛是112年的10月7號就已經有這個辦法然後我覺得更可笑的是一階的幽靈連署各地檢署沒有人用選舉罷免法我在這邊跟各位強調沒有人用選舉罷免法 |
transcript.whisperx[55].start |
1218.854 |
transcript.whisperx[55].end |
1239.228 |
transcript.whisperx[55].text |
所以然後你下面跟我這樣講我覺得你說112年對不對報告局長你說112年對不對那你去查一下成功證台東縣成功證證長是什麼時候罷免的我印象如果記沒有錯是去年罷免那為什麼沒有用那你不是講話就矛盾了你不是剛才講嗎 |
transcript.whisperx[56].start |
1240.589 |
transcript.whisperx[56].end |
1257.608 |
transcript.whisperx[56].text |
因為我記得我去年 那時候沒有案件啊不是啊 你有沒有給這個核分跟有沒有案件是兩回事嘛我先說有這個核分我們的調查官沒有去調查偵辦我們是要給他什麼這就是今天我有意見的地方 對 |
transcript.whisperx[57].start |
1259.129 |
transcript.whisperx[57].end |
1282.437 |
transcript.whisperx[57].text |
這個都不用查 這一次開始毛起來查這一次所有案件全部都是檢察官指揮我跟你講 又來沒有人告發我跟你講 多少公務員貪污根本沒有人告發你們有資料就下去查辦我跟你講 局長我知道局長很不高興因為昨天 欸 禮拜一局長回去的時候貴公司就有兩個人打電話跟我說局長很不爽那我說我也沒辦法沒關係沒關係沒關係 局長 |
transcript.whisperx[58].start |
1286.258 |
transcript.whisperx[58].end |
1307.771 |
transcript.whisperx[58].text |
我們需先接受委員的質疑好 沒關係局長 這樣啦齁 您對我不滿我也OK啦不會 報告委員絕對不會我私下像我跟部長 我跟部長常針鋒相對但我對部長的關懷 部長很清楚 他就是我的長官公務之外 他就是我尊敬的長官對您也是 公務之外 我對您的尊敬不會少一分謝謝委員 謝謝委員 |
transcript.whisperx[59].start |
1309.633 |
transcript.whisperx[59].end |
1334.913 |
transcript.whisperx[59].text |
唉 我覺得齁 如果說齁真的我們要去談說妨害選舉 那我跟我在那邊可以告發啊我們選法法104條 你就罷免的部分 你有一些不實的資訊那也會違反104條第一項嘛那我們想了一下 那之前劉四芳呢劉四芳她講 藍白亂砍 租金普帖 後來又說沒有後來又被人家踢爆 那洪森漢 我剛剛講了嘛 |
transcript.whisperx[60].start |
1337.151 |
transcript.whisperx[60].end |
1366.327 |
transcript.whisperx[60].text |
因應留職聽薪補貼 他說被藍白刪光結果後來也查沒有不是 沒有這件事林佳雄講的那個護照後來也沒有這件事張純涵講的中小企業補助款被藍白刪光後來查也沒有這件事那這個他就是為了罷免再添柴火那為什麼104條第一項沒有人辦呢所以是不是我這邊就直接告發然後麻煩麻煩局長這邊能夠查因為既然要處理我們這麼重視司法以及國人我們就這樣做嘛 |
transcript.whisperx[61].start |
1367.581 |
transcript.whisperx[61].end |
1385.726 |
transcript.whisperx[61].text |
那麻煩局長部長那是不是這幾位部長還有總統府副秘書長他虛假訊息就意圖影響到罷免這符合選舉罷免法104條第一項的規定那是不是我們就應該要開始查辦這個事情因為這個是虛假訊息連他們自己後來都承認 |
transcript.whisperx[62].start |
1387.028 |
transcript.whisperx[62].end |
1412.109 |
transcript.whisperx[62].text |
那是不是可以這樣做那一樣我這邊跟各位我們公務上面針鋒相對我該講什麼就講什麼你們也不希望一個國家到最後只剩下一種聲音啦我覺得還是要有人挺身而出去點出問題在哪裡如果對我們不滿我也覺得不好意思對各位有所冒犯但是該講的話我還是會講出來不是啦因為我會收到很多以前同事的電話算了沒關係這個我不講一樣謝謝三位的辛勞謝謝 |