IVOD_ID |
160085 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160085 |
日期 |
2025-04-10 |
會議資料.會議代碼 |
委員會-11-3-36-8 |
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8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 |
8 |
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8次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-10T11:20:16+08:00 |
結束時間 |
2025-04-10T11:31:26+08:00 |
影片長度 |
00:11:10 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/127fafa562dc97125320b6d54d381213803d2cc4ed6173071a30f584bceeba99be38506e5337c7fe5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
11:20:16 - 11:31:26 |
會議時間 |
2025-04-10T09:00:00+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8次全體委員會議(事由:邀請司法院副秘書長、法務部部長、法務部矯正署、內政部警政署、內政部移民署、海洋委員會海巡署率所屬相關單位列席就「法院作成『略式裁定』之依據、理由、法定程序、救濟方式,與科技設備監控處分變更、延長或撤銷之標準,並就執行現況,提供相關統計數據與策進作為」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
27.94221875 |
transcript.pyannote[0].end |
30.35534375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
30.45659375 |
transcript.pyannote[1].end |
30.50721875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
30.50721875 |
transcript.pyannote[2].end |
31.13159375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
31.13159375 |
transcript.pyannote[3].end |
31.16534375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
35.04659375 |
transcript.pyannote[4].end |
35.99159375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
36.00846875 |
transcript.pyannote[5].end |
36.04221875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
37.15596875 |
transcript.pyannote[6].end |
37.69596875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
38.30346875 |
transcript.pyannote[7].end |
41.84721875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
41.84721875 |
transcript.pyannote[8].end |
41.96534375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
41.86409375 |
transcript.pyannote[9].end |
41.91471875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
41.93159375 |
transcript.pyannote[10].end |
44.58096875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
41.96534375 |
transcript.pyannote[11].end |
42.37034375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
44.58096875 |
transcript.pyannote[12].end |
44.64846875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
44.64846875 |
transcript.pyannote[13].end |
44.96909375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
44.96909375 |
transcript.pyannote[14].end |
45.03659375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
45.03659375 |
transcript.pyannote[15].end |
45.27284375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
45.23909375 |
transcript.pyannote[16].end |
48.88409375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
45.30659375 |
transcript.pyannote[17].end |
45.32346875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
49.57596875 |
transcript.pyannote[18].end |
51.01034375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
51.33096875 |
transcript.pyannote[19].end |
52.98471875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
54.21659375 |
transcript.pyannote[20].end |
59.00909375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
59.05971875 |
transcript.pyannote[21].end |
59.63346875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
59.86971875 |
transcript.pyannote[22].end |
63.78471875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
61.96221875 |
transcript.pyannote[23].end |
62.43471875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
62.94096875 |
transcript.pyannote[24].end |
63.91971875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
64.83096875 |
transcript.pyannote[25].end |
65.03346875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
65.03346875 |
transcript.pyannote[26].end |
124.51784375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
108.77346875 |
transcript.pyannote[27].end |
109.04346875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
109.04346875 |
transcript.pyannote[28].end |
109.06034375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
125.54721875 |
transcript.pyannote[29].end |
135.33471875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
135.33471875 |
transcript.pyannote[30].end |
135.38534375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
135.38534375 |
transcript.pyannote[31].end |
143.43471875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
135.40221875 |
transcript.pyannote[32].end |
135.46971875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
144.05909375 |
transcript.pyannote[33].end |
148.95284375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
149.18909375 |
transcript.pyannote[34].end |
153.03659375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
154.67346875 |
transcript.pyannote[35].end |
159.71909375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
160.05659375 |
transcript.pyannote[36].end |
162.94221875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
163.68471875 |
transcript.pyannote[37].end |
164.05596875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
164.81534375 |
transcript.pyannote[38].end |
170.48534375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
170.35034375 |
transcript.pyannote[39].end |
171.24471875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
170.99159375 |
transcript.pyannote[40].end |
174.07971875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
175.02471875 |
transcript.pyannote[41].end |
192.30471875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
192.72659375 |
transcript.pyannote[42].end |
194.21159375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
193.60409375 |
transcript.pyannote[43].end |
200.15159375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
194.51534375 |
transcript.pyannote[44].end |
194.85284375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
201.01221875 |
transcript.pyannote[45].end |
203.49284375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
204.25221875 |
transcript.pyannote[46].end |
209.07846875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
209.43284375 |
transcript.pyannote[47].end |
219.96284375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
221.59971875 |
transcript.pyannote[48].end |
223.48971875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
223.74284375 |
transcript.pyannote[49].end |
225.73409375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
226.45971875 |
transcript.pyannote[50].end |
227.62409375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
228.72096875 |
transcript.pyannote[51].end |
229.76721875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
230.22284375 |
transcript.pyannote[52].end |
233.73284375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
233.96909375 |
transcript.pyannote[53].end |
237.20909375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
237.20909375 |
transcript.pyannote[54].end |
238.05284375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
237.24284375 |
transcript.pyannote[55].end |
237.25971875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
237.66471875 |
transcript.pyannote[56].end |
239.65596875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
239.77409375 |
transcript.pyannote[57].end |
242.59221875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
243.06471875 |
transcript.pyannote[58].end |
254.13471875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
250.01721875 |
transcript.pyannote[59].end |
250.35471875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
255.70409375 |
transcript.pyannote[60].end |
290.26409375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
289.45409375 |
transcript.pyannote[61].end |
294.51659375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
294.92159375 |
transcript.pyannote[62].end |
296.72721875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
298.02659375 |
transcript.pyannote[63].end |
303.20721875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
303.89909375 |
transcript.pyannote[64].end |
305.80596875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
306.68346875 |
transcript.pyannote[65].end |
314.02409375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
314.42909375 |
transcript.pyannote[66].end |
318.49596875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
319.20471875 |
transcript.pyannote[67].end |
319.64346875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
319.82909375 |
transcript.pyannote[68].end |
327.49034375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
328.03034375 |
transcript.pyannote[69].end |
333.70034375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
333.70034375 |
transcript.pyannote[70].end |
334.89846875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
334.32471875 |
transcript.pyannote[71].end |
335.13471875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
335.37096875 |
transcript.pyannote[72].end |
354.33846875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
336.77159375 |
transcript.pyannote[73].end |
337.15971875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
354.87846875 |
transcript.pyannote[74].end |
359.94096875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
359.38409375 |
transcript.pyannote[75].end |
373.23846875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
369.84659375 |
transcript.pyannote[76].end |
370.31909375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
373.33971875 |
transcript.pyannote[77].end |
373.81221875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
374.03159375 |
transcript.pyannote[78].end |
376.54596875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
376.69784375 |
transcript.pyannote[79].end |
377.10284375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
378.38534375 |
transcript.pyannote[80].end |
378.72284375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
378.97596875 |
transcript.pyannote[81].end |
383.90346875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
383.83596875 |
transcript.pyannote[82].end |
384.32534375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
384.07221875 |
transcript.pyannote[83].end |
400.55909375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
386.89034375 |
transcript.pyannote[84].end |
387.19409375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
388.32471875 |
transcript.pyannote[85].end |
388.98284375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
389.43846875 |
transcript.pyannote[86].end |
389.74221875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
396.18846875 |
transcript.pyannote[87].end |
396.62721875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
400.55909375 |
transcript.pyannote[88].end |
401.04846875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
400.89659375 |
transcript.pyannote[89].end |
409.03034375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
403.76534375 |
transcript.pyannote[90].end |
403.93409375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
409.45221875 |
transcript.pyannote[91].end |
412.50659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
413.45159375 |
transcript.pyannote[92].end |
414.83534375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
415.22346875 |
transcript.pyannote[93].end |
430.02284375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
430.46159375 |
transcript.pyannote[94].end |
437.66721875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
438.15659375 |
transcript.pyannote[95].end |
439.50659375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
439.72596875 |
transcript.pyannote[96].end |
441.02534375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
440.85659375 |
transcript.pyannote[97].end |
444.78846875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
443.55659375 |
transcript.pyannote[98].end |
444.16409375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
444.72096875 |
transcript.pyannote[99].end |
452.90534375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
445.27784375 |
transcript.pyannote[100].end |
446.22284375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
453.31034375 |
transcript.pyannote[101].end |
457.66409375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
458.25471875 |
transcript.pyannote[102].end |
466.72596875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
468.34596875 |
transcript.pyannote[103].end |
469.86471875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
470.57346875 |
transcript.pyannote[104].end |
473.37471875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
474.28596875 |
transcript.pyannote[105].end |
475.28159375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
475.24784375 |
transcript.pyannote[106].end |
479.50034375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
480.39471875 |
transcript.pyannote[107].end |
521.38409375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
490.38471875 |
transcript.pyannote[108].end |
490.70534375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
521.62034375 |
transcript.pyannote[109].end |
523.96596875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
525.02909375 |
transcript.pyannote[110].end |
546.27471875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
537.71909375 |
transcript.pyannote[111].end |
539.03534375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
539.03534375 |
transcript.pyannote[112].end |
539.05221875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
546.73034375 |
transcript.pyannote[113].end |
560.75346875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
555.25221875 |
transcript.pyannote[114].end |
555.42096875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
561.31034375 |
transcript.pyannote[115].end |
568.97159375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
569.05596875 |
transcript.pyannote[116].end |
569.07284375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
569.07284375 |
transcript.pyannote[117].end |
587.11221875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
570.47346875 |
transcript.pyannote[118].end |
570.96284375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
572.58284375 |
transcript.pyannote[119].end |
573.42659375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
582.58971875 |
transcript.pyannote[120].end |
583.65284375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
587.85471875 |
transcript.pyannote[121].end |
595.24596875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
588.95159375 |
transcript.pyannote[122].end |
589.03596875 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
589.03596875 |
transcript.pyannote[123].end |
589.47471875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
592.71471875 |
transcript.pyannote[124].end |
593.18721875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
595.87034375 |
transcript.pyannote[125].end |
596.74784375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
597.52409375 |
transcript.pyannote[126].end |
602.36721875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
602.92409375 |
transcript.pyannote[127].end |
603.93659375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
603.98721875 |
transcript.pyannote[128].end |
604.54409375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
604.44284375 |
transcript.pyannote[129].end |
606.33284375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
606.45096875 |
transcript.pyannote[130].end |
607.75034375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
607.32846875 |
transcript.pyannote[131].end |
615.15846875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
614.39909375 |
transcript.pyannote[132].end |
615.32721875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
615.15846875 |
transcript.pyannote[133].end |
615.69846875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
616.87971875 |
transcript.pyannote[134].end |
617.03159375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
617.03159375 |
transcript.pyannote[135].end |
624.81096875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
619.74846875 |
transcript.pyannote[136].end |
619.76534375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
619.76534375 |
transcript.pyannote[137].end |
620.13659375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
621.33471875 |
transcript.pyannote[138].end |
621.48659375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
625.11471875 |
transcript.pyannote[139].end |
629.11409375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
629.18159375 |
transcript.pyannote[140].end |
630.66659375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
631.10534375 |
transcript.pyannote[141].end |
631.62846875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
631.47659375 |
transcript.pyannote[142].end |
633.85596875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
634.02471875 |
transcript.pyannote[143].end |
634.04159375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
634.04159375 |
transcript.pyannote[144].end |
634.07534375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
634.07534375 |
transcript.pyannote[145].end |
634.09221875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
634.09221875 |
transcript.pyannote[146].end |
634.22721875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
634.22721875 |
transcript.pyannote[147].end |
637.93971875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
639.81284375 |
transcript.pyannote[148].end |
649.11096875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
649.44846875 |
transcript.pyannote[149].end |
650.73096875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
650.64659375 |
transcript.pyannote[150].end |
650.96721875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
650.81534375 |
transcript.pyannote[151].end |
657.14346875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
657.97034375 |
transcript.pyannote[152].end |
659.21909375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
659.55659375 |
transcript.pyannote[153].end |
665.51346875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
661.96971875 |
transcript.pyannote[154].end |
663.23534375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
664.04534375 |
transcript.pyannote[155].end |
665.14221875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
667.58909375 |
transcript.pyannote[156].end |
670.96409375 |
transcript.whisperx[0].start |
28.079 |
transcript.whisperx[0].end |
30.98 |
transcript.whisperx[0].text |
請示範您的完美燕王蜂蜜蜂蜜 |
transcript.whisperx[1].start |
35.117 |
transcript.whisperx[1].end |
63.388 |
transcript.whisperx[1].text |
委員您好虎咪司法這個正義公平很重要是更不能夠讓人民打不起官司是我們最近那個訴訟的裁判費怎麼一下子漲那麼多啊那個委員可以給我一兩分鐘報告嗎很多人在陳情耶你搞到搞到人民都打不起官司你騙不騙騙這樣是好來一分鐘了好不好短一點我才五分鐘你拿走一分鐘 |
transcript.whisperx[2].start |
65.607 |
transcript.whisperx[2].end |
81.919 |
transcript.whisperx[2].text |
像委員報告說第一個這個事實上是有法院那個依據的就是說法院是可以調的那我們法院端呢在民國92年調了之後二十幾年來這個是二十幾年來第一次調那因為我們收了裁判費之後就所有花了這些費用啊像 |
transcript.whisperx[3].start |
82.419 |
transcript.whisperx[3].end |
102.851 |
transcript.whisperx[3].text |
那個法官可能要出差就是或者是說這些那個時數什麼車費的還有最重要的這些油資事實上都是這些錢那二十幾年來呢就是說我們就是這地方有去查就是我們的那個消費消費者物價指數呢不管是油電或者是基本工資呢調漲是百分之十七到那個六十六 |
transcript.whisperx[4].start |
103.311 |
transcript.whisperx[4].end |
124.15 |
transcript.whisperx[4].text |
那我們這一次其實增加幅度只有一點那另外呢就是說這個其實在那個司法法制委員會也有那個也有就是兩度就是有在這裡公聽會還有委員也希望說可以那個主張增加那最後一個跟委員報告是其實整個制度的那個設計都有考慮到就是弱勢者因為 |
transcript.whisperx[5].start |
125.592 |
transcript.whisperx[5].end |
146.609 |
transcript.whisperx[5].text |
大部分的這些費用是一般人用的那但是就是弱勢者這有考慮到就是說如果說他們真的是攪不起的時候其實都有那個訴訟救助那最後那個事實上只是預爭就打贏的時候這些關那個費用事實上他還是有轉嫁謝謝委員給我時間報告其實這兩個陳情講的不是你剛剛講的一點這條太大點了你來我們看一下這個條文看一下這個條文你本來這個 |
transcript.whisperx[6].start |
157.27 |
transcript.whisperx[6].end |
171.125 |
transcript.whisperx[6].text |
第77-2對不對77-2你這個最大條譜就是三就是那個二分之一嘛蛤對啦不不不我說不是啦我說你這個條譜來上個條文給那個給副名看一下上個上個條文對沒有錯77-277條是27嘛齁 |
transcript.whisperx[7].start |
175.086 |
transcript.whisperx[7].end |
199.612 |
transcript.whisperx[7].text |
本法應徵收之裁判費 各高等法院得因這是有授權給你沒有錯 你看但其加徵的這個數額不得超過原額數的十分之五 對 二分之一嘛你這本用最上線這條欸跟委員報告 對不對而且那個是最普遍的人 對不對最普遍的人 我給你看 因為你已經用了一分鐘我給你看一下了 來 |
transcript.whisperx[8].start |
201.055 |
transcript.whisperx[8].end |
219.868 |
transcript.whisperx[8].text |
已經十萬塊以下的 已經十萬塊以下的原裁判費是一千嘛對不對你這邊要跳幾元錢 這個拉得太大了如果是一百萬的 以前要花一萬九百塊喔你現在一下跳到一萬三千兩百塊錢那如果是一千塊的這個標的十萬 一下跳到十一萬八千五百塊錢這個幅度真的太大了啦 |
transcript.whisperx[9].start |
228.766 |
transcript.whisperx[9].end |
253.312 |
transcript.whisperx[9].text |
不是你講的一點啦太大一點那個忽密披薩最近有引起一個很大爭議就是那個進口那個3C產品750塊之亂有沒有是是你這樣下去也是變成會是一個新的750塊之亂啊現在是很多陳情說調太高了啦我覺得有沒有750塊後來就連行政院長都出來踩煞車嘛對不對NC也踩煞車我覺得適度看用什麼方式這個幅度有機會可以稍微再調調降嗎 |
transcript.whisperx[10].start |
255.728 |
transcript.whisperx[10].end |
273.914 |
transcript.whisperx[10].text |
我可以再讓我解釋一下就是說其實我們那個所謂的那個調招十分之五有沒有這個只有在十萬以下的就是說小額那我們是希望說民眾因為台灣事實上使用那個訴訟的成本真的非常低我們希望民眾就是說他們有紛爭的時候他們可以想一下說 |
transcript.whisperx[11].start |
274.754 |
transcript.whisperx[11].end |
296.521 |
transcript.whisperx[11].text |
到法院來這是不是一個好的一個經濟的符合他們經濟的一個效益所以我們是把十萬以下這個地方就是做一個大幅度那反而是說像那個一千萬或者是說數額比較高的這個條幅都比較低啊就是因為那個十萬以下的最多嘛我給你看那個案件數你看一下這個影響的人最多啊對不對你對那個最多的人調的最大要嘛你就那個最高的人調高一點啦 |
transcript.whisperx[12].start |
303.979 |
transcript.whisperx[12].end |
309.321 |
transcript.whisperx[12].text |
是不是這樣弄得對 你看10萬以下的這個建築占你112年的時候占你所有樹中縣市的41.24在111年的時候也是41點多 |
transcript.whisperx[13].start |
320.104 |
transcript.whisperx[13].end |
333.552 |
transcript.whisperx[13].text |
這比例是最大宗嘛結果你影響的人影響的人最多然後你調的幅度又是二分之一那怎麼對 應該是對的應該是訴訟費用越高的人調越多啊是不是這樣啊結果你現在最多人的影響最大啊應該對的嘛 |
transcript.whisperx[14].start |
335.433 |
transcript.whisperx[14].end |
353.921 |
transcript.whisperx[14].text |
委員可不可以容我再說明一下因為這地方其實是有一個司法政策的一個考量因為台灣真的進入到使用訴訟的那個太容易進來了那事實上我們有很多的像我們有調解各種的那個機制可以使用那所以是讓人民呢就是說他在十萬以下就是說那個 |
transcript.whisperx[15].start |
355.461 |
transcript.whisperx[15].end |
375.451 |
transcript.whisperx[15].text |
就是說這一種標的不是很大的他可以去想一想這叫什麼以價自量你應該對如果有爛數或者胡亂去提的人你要有一部分那個機制去解決那一部分嘛你問那部分然後去影響到多數人對不對啊邏輯是不是這樣你邏輯應該比我好啊你耳環多了沒有 |
transcript.whisperx[16].start |
379.268 |
transcript.whisperx[16].end |
406.507 |
transcript.whisperx[16].text |
對啊 如果是你講的那一部分 那應該去處理那一部分啊不要影響到最多人了啦我知道今天這樣問當然 因為你已經開始實施了嘛很多人來請願嘛 來陳情嘛這個結果弄到後來就是有些人就打不起官司嘛 對不對是不是這樣 那你應該適度我說我剛剛已經跟你講一個很重要的就是那個影響最多人那個你這次調稅都調二分之一五十趴嘛 那錢也不多啊從那邊去做一個適度的調整好不好如果真的是金額很高的 老蔣我也沒有太大意見 |
transcript.whisperx[17].start |
407.927 |
transcript.whisperx[17].end |
429.395 |
transcript.whisperx[17].text |
現在多數人多數人那一塊 你再想一下好不好所以我具體的要求 來 看起來我具體要求第一項我們來檢討這個裁判費的收費的這個基準適度去調降一部分我本來是要整體要調的可是我今天很明確的跟你們講你針對那個比較比較多的一般民眾會碰到的那個那部分做一個適度的調整第二個對於弱勢跟這個 |
transcript.whisperx[18].start |
430.535 |
transcript.whisperx[18].end |
455.862 |
transcript.whisperx[18].text |
低收入不法 平均所得比較低的訴訟費用你給一些優惠或者提供所需要的幫忙這你本來有在做對不對有在做是不是第二點 你現在那個司法院有在做這一塊嗎就是法律明白規定的訴訟救助制度對會做嗎 是來 第三你應該是先請去做一些司法改革落實司法的爭議以後再來檢討這個裁判我剛才說你要答應你要調高之前要先去回去做自己的檢討第四個 |
transcript.whisperx[19].start |
458.303 |
transcript.whisperx[19].end |
466.511 |
transcript.whisperx[19].text |
你不要變成是以價去質量你應該去檢討那個 如果有些人是爛數或者他剛剛跟你講的很容易進來 你就做一部分的處理好不好要再給你30秒嗎 可以嗎這4點你給我一個比較具體的回應好不好 來現在回應嗎要給你多少時間 你要帶回去檢討嗎 |
transcript.whisperx[20].start |
480.458 |
transcript.whisperx[20].end |
503.676 |
transcript.whisperx[20].text |
因為第一二項剛才已經有跟委員報告過了就是說司法院當時就是這個其實主要是高院高院的權責高院所那個調的啦那就是說當時的那些那個考量跟那個司法政策剛好跟委員報告過那委員就是有其他的那個指示的話我覺得這個部分我們是我們可以再做一些那個研議啊 |
transcript.whisperx[21].start |
504.116 |
transcript.whisperx[21].end |
523.767 |
transcript.whisperx[21].text |
那至於說三四這個部分我想這是一個並行的沒錯就是說我們怎麼樣去提供一個人民比較好的那個司法給付這個確實是我們那個司法行政一直就是我們應該要去做的事情那這個我們也知道說我們一定必須也要就是就是更更好的那個落實了但是 |
transcript.whisperx[22].start |
525.086 |
transcript.whisperx[22].end |
545.692 |
transcript.whisperx[22].text |
台灣的司法資源其實不只是台灣全世界都面臨司法資源非常短缺所以我們現在我必須為我們同仁說一些話就是說我們同仁過勞的情形不管是法官或是書記官都非常非常的過勞所以我們一直呼籲就是說我們的民眾當然他們有困難 |
transcript.whisperx[23].start |
546.992 |
transcript.whisperx[23].end |
568.459 |
transcript.whisperx[23].text |
國家必須提供一個司法給付這是應該的那但是也是希望說他們在使用這個的時候呢能夠真正很慎重的去那個考量那我想這個是一點那至於說那個爛數呢這個確實是我們一直就是一直有在做的那但是也許幅度我覺得還可以再更多的那個精進那也謝謝委員就是跟我們這一些指導 |
transcript.whisperx[24].start |
569.179 |
transcript.whisperx[24].end |
596.488 |
transcript.whisperx[24].text |
司法人員很辛苦啦我老實講普遍上水準也是很高啦你們應該有的預算我們會支持也幫你們加油所以不用客氣你們該有的要跟爭取我相信不是只有台灣民眾黨大部分的立委應該都會支持這沒有問題好不好可是老實講可是如果發生了司法人員發生了像中文職這種事情臉上就無光了我知道你們也非常生氣啦我今天只有問兩個比較簡單的別累那邱忠義跟那個陳永松啊 |
transcript.whisperx[25].start |
597.577 |
transcript.whisperx[25].end |
613.367 |
transcript.whisperx[25].text |
你們除了把這個邱中義那個庭長拔掉之後你們說要開始要調查跟送評鑑嘛對不對是現在進度怎麼樣這事情不能拖太久跟委員報告那個就是送法評的申請書在昨天已經送到法評會了 |
transcript.whisperx[26].start |
614.247 |
transcript.whisperx[26].end |
637.569 |
transcript.whisperx[26].text |
昨天送到法律部現在全民都在盯著 所以就是要快啦 不能夠拖延而且這個整個開過那個過程 我覺得要比較對人民要是有一個比較清楚的說明人民現在擔心的是蓋牌啦或者不清楚啦 我們看最後這個Ending最近你有看到那個台灣民意基金會1月份有一個調查嘛 |
transcript.whisperx[27].start |
640.09 |
transcript.whisperx[27].end |
662.855 |
transcript.whisperx[27].text |
1月份的這個調查 超過49.2%的民眾對司法是沒有信心的那你講 你說司法是皇后的貞操嘛現在看起來有一半的人民對司法是有有些話問號的所以中文字這個事情最近司法院碰到一些問題加快加速給人民一個清楚的交代 好不好好 謝謝好 謝謝委員 |
transcript.whisperx[28].start |
667.899 |
transcript.whisperx[28].end |
669.829 |
transcript.whisperx[28].text |
謝謝,那下一位我們請鄭正前委員 |