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