影片長度 |
905 |
委員名稱 |
鍾佳濱 |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d4cdf32868ad364b665a11d2bd770fbc768d2097a9b873f67579206f6b0958276469bd687902d0e25ea18f28b6918d91.mp4/playlist.m3u8 |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
5.85284375 |
transcript.pyannote[0].end |
11.01659375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
11.33721875 |
transcript.pyannote[1].end |
22.20471875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
26.82846875 |
transcript.pyannote[2].end |
41.59409375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
42.30284375 |
transcript.pyannote[3].end |
45.81284375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
46.16721875 |
transcript.pyannote[4].end |
49.47471875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
49.96409375 |
transcript.pyannote[5].end |
52.10721875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
52.49534375 |
transcript.pyannote[6].end |
56.02221875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
56.49471875 |
transcript.pyannote[7].end |
66.46784375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
67.05846875 |
transcript.pyannote[8].end |
67.69971875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
68.15534375 |
transcript.pyannote[9].end |
69.03284375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
70.09596875 |
transcript.pyannote[10].end |
70.99034375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
71.37846875 |
transcript.pyannote[11].end |
72.30659375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
72.86346875 |
transcript.pyannote[12].end |
73.85909375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
74.23034375 |
transcript.pyannote[13].end |
75.46221875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
76.44096875 |
transcript.pyannote[14].end |
86.51534375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
85.28346875 |
transcript.pyannote[15].end |
89.85659375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
88.94534375 |
transcript.pyannote[16].end |
89.01284375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
90.21096875 |
transcript.pyannote[17].end |
96.33659375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
96.33659375 |
transcript.pyannote[18].end |
102.83346875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
99.94784375 |
transcript.pyannote[19].end |
100.16721875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
103.37346875 |
transcript.pyannote[20].end |
105.01034375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
103.55909375 |
transcript.pyannote[21].end |
103.62659375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
105.01034375 |
transcript.pyannote[22].end |
107.00159375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
106.63034375 |
transcript.pyannote[23].end |
110.95034375 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
111.77721875 |
transcript.pyannote[24].end |
127.16721875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
125.93534375 |
transcript.pyannote[25].end |
130.40721875 |
transcript.pyannote[26].speaker |
SPEAKER_04 |
transcript.pyannote[26].start |
130.66034375 |
transcript.pyannote[26].end |
131.01471875 |
transcript.pyannote[27].speaker |
SPEAKER_04 |
transcript.pyannote[27].start |
131.43659375 |
transcript.pyannote[27].end |
138.40596875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
135.23346875 |
transcript.pyannote[28].end |
135.82409375 |
transcript.pyannote[29].speaker |
SPEAKER_04 |
transcript.pyannote[29].start |
138.54096875 |
transcript.pyannote[29].end |
139.77284375 |
transcript.pyannote[30].speaker |
SPEAKER_04 |
transcript.pyannote[30].start |
140.05971875 |
transcript.pyannote[30].end |
141.84846875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
140.12721875 |
transcript.pyannote[31].end |
141.00471875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
141.84846875 |
transcript.pyannote[32].end |
141.86534375 |
transcript.pyannote[33].speaker |
SPEAKER_04 |
transcript.pyannote[33].start |
141.86534375 |
transcript.pyannote[33].end |
141.93284375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
141.93284375 |
transcript.pyannote[34].end |
141.98346875 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
141.98346875 |
transcript.pyannote[35].end |
142.03409375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
142.03409375 |
transcript.pyannote[36].end |
142.21971875 |
transcript.pyannote[37].speaker |
SPEAKER_04 |
transcript.pyannote[37].start |
142.82721875 |
transcript.pyannote[37].end |
149.37471875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
149.37471875 |
transcript.pyannote[38].end |
156.34409375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
157.71096875 |
transcript.pyannote[39].end |
166.48596875 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
166.08096875 |
transcript.pyannote[40].end |
169.69221875 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
169.70909375 |
transcript.pyannote[41].end |
171.85221875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
172.02096875 |
transcript.pyannote[42].end |
177.58971875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
172.71284375 |
transcript.pyannote[43].end |
172.74659375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
172.74659375 |
transcript.pyannote[44].end |
172.89846875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
172.89846875 |
transcript.pyannote[45].end |
173.32034375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
176.89784375 |
transcript.pyannote[46].end |
177.69096875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
177.69096875 |
transcript.pyannote[47].end |
195.29159375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
192.65909375 |
transcript.pyannote[48].end |
192.91221875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
194.27909375 |
transcript.pyannote[49].end |
197.28284375 |
transcript.pyannote[50].speaker |
SPEAKER_04 |
transcript.pyannote[50].start |
195.29159375 |
transcript.pyannote[50].end |
195.30846875 |
transcript.pyannote[51].speaker |
SPEAKER_04 |
transcript.pyannote[51].start |
197.77221875 |
transcript.pyannote[51].end |
198.04221875 |
transcript.pyannote[52].speaker |
SPEAKER_04 |
transcript.pyannote[52].start |
198.34596875 |
transcript.pyannote[52].end |
204.77534375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
201.65346875 |
transcript.pyannote[53].end |
203.83034375 |
transcript.pyannote[54].speaker |
SPEAKER_04 |
transcript.pyannote[54].start |
204.89346875 |
transcript.pyannote[54].end |
206.86784375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
206.73284375 |
transcript.pyannote[55].end |
208.82534375 |
transcript.pyannote[56].speaker |
SPEAKER_04 |
transcript.pyannote[56].start |
208.92659375 |
transcript.pyannote[56].end |
209.38221875 |
transcript.pyannote[57].speaker |
SPEAKER_04 |
transcript.pyannote[57].start |
209.46659375 |
transcript.pyannote[57].end |
210.37784375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
210.37784375 |
transcript.pyannote[58].end |
214.59659375 |
transcript.pyannote[59].speaker |
SPEAKER_04 |
transcript.pyannote[59].start |
210.39471875 |
transcript.pyannote[59].end |
210.61409375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
215.91284375 |
transcript.pyannote[60].end |
217.65096875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
217.36409375 |
transcript.pyannote[61].end |
221.19471875 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
221.65034375 |
transcript.pyannote[62].end |
231.33659375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
224.94096875 |
transcript.pyannote[63].end |
225.05909375 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
231.42096875 |
transcript.pyannote[64].end |
236.31471875 |
transcript.pyannote[65].speaker |
SPEAKER_04 |
transcript.pyannote[65].start |
234.72846875 |
transcript.pyannote[65].end |
235.16721875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
235.16721875 |
transcript.pyannote[66].end |
235.97721875 |
transcript.pyannote[67].speaker |
SPEAKER_04 |
transcript.pyannote[67].start |
235.97721875 |
transcript.pyannote[67].end |
236.23034375 |
transcript.pyannote[68].speaker |
SPEAKER_04 |
transcript.pyannote[68].start |
236.55096875 |
transcript.pyannote[68].end |
237.27659375 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
237.58034375 |
transcript.pyannote[69].end |
246.18659375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
241.52909375 |
transcript.pyannote[70].end |
242.32221875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
242.32221875 |
transcript.pyannote[71].end |
242.33909375 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
243.21659375 |
transcript.pyannote[72].end |
243.52034375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
243.52034375 |
transcript.pyannote[73].end |
243.53721875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
243.53721875 |
transcript.pyannote[74].end |
243.57096875 |
transcript.pyannote[75].speaker |
SPEAKER_04 |
transcript.pyannote[75].start |
246.20346875 |
transcript.pyannote[75].end |
254.06721875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
249.54471875 |
transcript.pyannote[76].end |
249.88221875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
253.98284375 |
transcript.pyannote[77].end |
257.72909375 |
transcript.pyannote[78].speaker |
SPEAKER_04 |
transcript.pyannote[78].start |
257.88096875 |
transcript.pyannote[78].end |
262.04909375 |
transcript.pyannote[79].speaker |
SPEAKER_04 |
transcript.pyannote[79].start |
262.45409375 |
transcript.pyannote[79].end |
263.16284375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
263.16284375 |
transcript.pyannote[80].end |
263.17971875 |
transcript.pyannote[81].speaker |
SPEAKER_04 |
transcript.pyannote[81].start |
263.88846875 |
transcript.pyannote[81].end |
264.02346875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
264.02346875 |
transcript.pyannote[82].end |
266.50409375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
267.06096875 |
transcript.pyannote[83].end |
268.51221875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
269.50784375 |
transcript.pyannote[84].end |
275.29596875 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
273.60846875 |
transcript.pyannote[85].end |
273.84471875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
274.60409375 |
transcript.pyannote[86].end |
275.27909375 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
275.29596875 |
transcript.pyannote[87].end |
279.19409375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
277.15221875 |
transcript.pyannote[88].end |
285.50534375 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
280.56096875 |
transcript.pyannote[89].end |
281.05034375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
285.70784375 |
transcript.pyannote[90].end |
287.74971875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
288.28971875 |
transcript.pyannote[91].end |
288.82971875 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
288.30659375 |
transcript.pyannote[92].end |
288.81284375 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
288.82971875 |
transcript.pyannote[93].end |
288.88034375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
288.88034375 |
transcript.pyannote[94].end |
288.96471875 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
288.96471875 |
transcript.pyannote[95].end |
289.03221875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
289.03221875 |
transcript.pyannote[96].end |
289.20096875 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
289.20096875 |
transcript.pyannote[97].end |
290.93909375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
289.31909375 |
transcript.pyannote[98].end |
294.65159375 |
transcript.pyannote[99].speaker |
SPEAKER_04 |
transcript.pyannote[99].start |
295.27596875 |
transcript.pyannote[99].end |
298.71846875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
298.71846875 |
transcript.pyannote[100].end |
299.79846875 |
transcript.pyannote[101].speaker |
SPEAKER_04 |
transcript.pyannote[101].start |
299.34284375 |
transcript.pyannote[101].end |
299.35971875 |
transcript.pyannote[102].speaker |
SPEAKER_04 |
transcript.pyannote[102].start |
299.84909375 |
transcript.pyannote[102].end |
300.87846875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
300.42284375 |
transcript.pyannote[103].end |
304.27034375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
304.52346875 |
transcript.pyannote[104].end |
305.58659375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
305.92409375 |
transcript.pyannote[105].end |
307.25721875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
307.44284375 |
transcript.pyannote[106].end |
309.51846875 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
312.47159375 |
transcript.pyannote[107].end |
313.60221875 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
313.93971875 |
transcript.pyannote[108].end |
327.16971875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
316.82534375 |
transcript.pyannote[109].end |
317.77034375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
322.91721875 |
transcript.pyannote[110].end |
324.13221875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
326.12346875 |
transcript.pyannote[111].end |
326.39346875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
327.16971875 |
transcript.pyannote[112].end |
328.67159375 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
327.18659375 |
transcript.pyannote[113].end |
327.74346875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
329.14409375 |
transcript.pyannote[114].end |
332.13096875 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
332.13096875 |
transcript.pyannote[115].end |
337.88534375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
338.02034375 |
transcript.pyannote[116].end |
345.98534375 |
transcript.pyannote[117].speaker |
SPEAKER_04 |
transcript.pyannote[117].start |
346.52534375 |
transcript.pyannote[117].end |
348.17909375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
347.99346875 |
transcript.pyannote[118].end |
349.27596875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
349.69784375 |
transcript.pyannote[119].end |
354.05159375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
354.13596875 |
transcript.pyannote[120].end |
359.90721875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
360.37971875 |
transcript.pyannote[121].end |
361.88159375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
363.46784375 |
transcript.pyannote[122].end |
364.26096875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
365.00346875 |
transcript.pyannote[123].end |
367.90596875 |
transcript.pyannote[124].speaker |
SPEAKER_03 |
transcript.pyannote[124].start |
368.61471875 |
transcript.pyannote[124].end |
369.05346875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
369.05346875 |
transcript.pyannote[125].end |
370.96034375 |
transcript.pyannote[126].speaker |
SPEAKER_04 |
transcript.pyannote[126].start |
369.15471875 |
transcript.pyannote[126].end |
369.20534375 |
transcript.pyannote[127].speaker |
SPEAKER_04 |
transcript.pyannote[127].start |
372.61409375 |
transcript.pyannote[127].end |
377.98034375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
377.98034375 |
transcript.pyannote[128].end |
378.30096875 |
transcript.pyannote[129].speaker |
SPEAKER_04 |
transcript.pyannote[129].start |
378.30096875 |
transcript.pyannote[129].end |
378.35159375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
378.35159375 |
transcript.pyannote[130].end |
381.05159375 |
transcript.pyannote[131].speaker |
SPEAKER_04 |
transcript.pyannote[131].start |
378.52034375 |
transcript.pyannote[131].end |
378.67221875 |
transcript.pyannote[132].speaker |
SPEAKER_04 |
transcript.pyannote[132].start |
381.05159375 |
transcript.pyannote[132].end |
383.95409375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
382.87409375 |
transcript.pyannote[133].end |
387.48096875 |
transcript.pyannote[134].speaker |
SPEAKER_04 |
transcript.pyannote[134].start |
384.67971875 |
transcript.pyannote[134].end |
385.35471875 |
transcript.pyannote[135].speaker |
SPEAKER_04 |
transcript.pyannote[135].start |
388.27409375 |
transcript.pyannote[135].end |
390.95721875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
390.24846875 |
transcript.pyannote[136].end |
390.97409375 |
transcript.pyannote[137].speaker |
SPEAKER_04 |
transcript.pyannote[137].start |
390.97409375 |
transcript.pyannote[137].end |
391.39596875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
391.51409375 |
transcript.pyannote[138].end |
393.70784375 |
transcript.pyannote[139].speaker |
SPEAKER_04 |
transcript.pyannote[139].start |
394.06221875 |
transcript.pyannote[139].end |
394.23096875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
394.23096875 |
transcript.pyannote[140].end |
395.39534375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
395.95221875 |
transcript.pyannote[141].end |
401.82471875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
402.44909375 |
transcript.pyannote[142].end |
416.84346875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
418.37909375 |
transcript.pyannote[143].end |
420.99471875 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
421.31534375 |
transcript.pyannote[144].end |
424.31909375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
423.74534375 |
transcript.pyannote[145].end |
424.25159375 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
424.70721875 |
transcript.pyannote[146].end |
427.37346875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
426.12471875 |
transcript.pyannote[147].end |
427.03596875 |
transcript.pyannote[148].speaker |
SPEAKER_04 |
transcript.pyannote[148].start |
427.03596875 |
transcript.pyannote[148].end |
427.22159375 |
transcript.pyannote[149].speaker |
SPEAKER_04 |
transcript.pyannote[149].start |
427.28909375 |
transcript.pyannote[149].end |
427.32284375 |
transcript.pyannote[150].speaker |
SPEAKER_04 |
transcript.pyannote[150].start |
427.33971875 |
transcript.pyannote[150].end |
428.13284375 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
427.40721875 |
transcript.pyannote[151].end |
427.45784375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
427.50846875 |
transcript.pyannote[152].end |
427.54221875 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
427.54221875 |
transcript.pyannote[153].end |
428.14971875 |
transcript.pyannote[154].speaker |
SPEAKER_04 |
transcript.pyannote[154].start |
428.14971875 |
transcript.pyannote[154].end |
428.25096875 |
transcript.pyannote[155].speaker |
SPEAKER_04 |
transcript.pyannote[155].start |
428.92596875 |
transcript.pyannote[155].end |
430.09034375 |
transcript.pyannote[156].speaker |
SPEAKER_04 |
transcript.pyannote[156].start |
430.57971875 |
transcript.pyannote[156].end |
442.69596875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
434.76471875 |
transcript.pyannote[157].end |
434.78159375 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
434.78159375 |
transcript.pyannote[158].end |
434.96721875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
434.96721875 |
transcript.pyannote[159].end |
435.25409375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
435.87846875 |
transcript.pyannote[160].end |
436.38471875 |
transcript.pyannote[161].speaker |
SPEAKER_04 |
transcript.pyannote[161].start |
442.78034375 |
transcript.pyannote[161].end |
450.77909375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
446.07096875 |
transcript.pyannote[162].end |
446.96534375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
450.08721875 |
transcript.pyannote[163].end |
451.09971875 |
transcript.pyannote[164].speaker |
SPEAKER_04 |
transcript.pyannote[164].start |
451.09971875 |
transcript.pyannote[164].end |
451.11659375 |
transcript.pyannote[165].speaker |
SPEAKER_04 |
transcript.pyannote[165].start |
451.31909375 |
transcript.pyannote[165].end |
453.29346875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
452.29784375 |
transcript.pyannote[166].end |
458.33909375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
458.57534375 |
transcript.pyannote[167].end |
471.56909375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
471.60284375 |
transcript.pyannote[168].end |
472.61534375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
473.10471875 |
transcript.pyannote[169].end |
477.12096875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
477.62721875 |
transcript.pyannote[170].end |
479.65221875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
479.93909375 |
transcript.pyannote[171].end |
485.05221875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
486.08159375 |
transcript.pyannote[172].end |
489.99659375 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
487.24596875 |
transcript.pyannote[173].end |
488.02221875 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
489.99659375 |
transcript.pyannote[174].end |
490.03034375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
490.03034375 |
transcript.pyannote[175].end |
490.23284375 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
490.23284375 |
transcript.pyannote[176].end |
490.26659375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
491.46471875 |
transcript.pyannote[177].end |
491.48159375 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
491.48159375 |
transcript.pyannote[178].end |
491.49846875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
491.49846875 |
transcript.pyannote[179].end |
491.59971875 |
transcript.pyannote[180].speaker |
SPEAKER_03 |
transcript.pyannote[180].start |
491.59971875 |
transcript.pyannote[180].end |
492.27471875 |
transcript.pyannote[181].speaker |
SPEAKER_03 |
transcript.pyannote[181].start |
492.96659375 |
transcript.pyannote[181].end |
504.47534375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
502.70346875 |
transcript.pyannote[182].end |
502.80471875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
504.47534375 |
transcript.pyannote[183].end |
510.43221875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
510.87096875 |
transcript.pyannote[184].end |
512.25471875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
512.65971875 |
transcript.pyannote[185].end |
517.55346875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
518.86971875 |
transcript.pyannote[186].end |
519.79784375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
519.79784375 |
transcript.pyannote[187].end |
520.79346875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
521.82284375 |
transcript.pyannote[188].end |
526.81784375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
527.71221875 |
transcript.pyannote[189].end |
531.45846875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
531.89721875 |
transcript.pyannote[190].end |
537.48284375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
537.68534375 |
transcript.pyannote[191].end |
543.60846875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
544.38471875 |
transcript.pyannote[192].end |
545.66721875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
547.11846875 |
transcript.pyannote[193].end |
547.23659375 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
548.21534375 |
transcript.pyannote[194].end |
549.29534375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
549.36284375 |
transcript.pyannote[195].end |
550.78034375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
552.24846875 |
transcript.pyannote[196].end |
555.89346875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
556.24784375 |
transcript.pyannote[197].end |
557.02409375 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
557.19284375 |
transcript.pyannote[198].end |
558.39096875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
558.47534375 |
transcript.pyannote[199].end |
560.80409375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
561.56346875 |
transcript.pyannote[200].end |
563.62221875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
564.60096875 |
transcript.pyannote[201].end |
574.74284375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
575.18159375 |
transcript.pyannote[202].end |
584.09159375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
584.46284375 |
transcript.pyannote[203].end |
598.14846875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
598.41846875 |
transcript.pyannote[204].end |
602.16471875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
605.30346875 |
transcript.pyannote[205].end |
606.07971875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
606.11346875 |
transcript.pyannote[206].end |
607.21034375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
607.63221875 |
transcript.pyannote[207].end |
607.98659375 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
608.52659375 |
transcript.pyannote[208].end |
612.77909375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
614.26409375 |
transcript.pyannote[209].end |
615.29346875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
616.10346875 |
transcript.pyannote[210].end |
627.49409375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
628.23659375 |
transcript.pyannote[211].end |
629.82284375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
630.02534375 |
transcript.pyannote[212].end |
630.44721875 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
630.56534375 |
transcript.pyannote[213].end |
633.63659375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
634.42971875 |
transcript.pyannote[214].end |
649.12784375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
649.12784375 |
transcript.pyannote[215].end |
649.31346875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
649.31346875 |
transcript.pyannote[216].end |
649.44846875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
649.44846875 |
transcript.pyannote[217].end |
649.49909375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
649.49909375 |
transcript.pyannote[218].end |
649.53284375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
649.53284375 |
transcript.pyannote[219].end |
649.58346875 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
649.58346875 |
transcript.pyannote[220].end |
649.73534375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
649.73534375 |
transcript.pyannote[221].end |
650.44409375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
650.68034375 |
transcript.pyannote[222].end |
656.16471875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
656.55284375 |
transcript.pyannote[223].end |
661.32846875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
661.51409375 |
transcript.pyannote[224].end |
668.36534375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
668.66909375 |
transcript.pyannote[225].end |
670.28909375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
669.49596875 |
transcript.pyannote[226].end |
675.92534375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
676.09409375 |
transcript.pyannote[227].end |
677.32596875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
677.51159375 |
transcript.pyannote[228].end |
679.84034375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
680.24534375 |
transcript.pyannote[229].end |
681.56159375 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
681.83159375 |
transcript.pyannote[230].end |
683.31659375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
682.82721875 |
transcript.pyannote[231].end |
683.95784375 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
685.32471875 |
transcript.pyannote[232].end |
687.67034375 |
transcript.pyannote[233].speaker |
SPEAKER_03 |
transcript.pyannote[233].start |
688.22721875 |
transcript.pyannote[233].end |
691.02846875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
688.76721875 |
transcript.pyannote[234].end |
689.47596875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
691.02846875 |
transcript.pyannote[235].end |
691.33221875 |
transcript.pyannote[236].speaker |
SPEAKER_03 |
transcript.pyannote[236].start |
691.33221875 |
transcript.pyannote[236].end |
691.34909375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
691.34909375 |
transcript.pyannote[237].end |
691.50096875 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
691.75409375 |
transcript.pyannote[238].end |
695.55096875 |
transcript.pyannote[239].speaker |
SPEAKER_03 |
transcript.pyannote[239].start |
691.83846875 |
transcript.pyannote[239].end |
694.06596875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
694.06596875 |
transcript.pyannote[240].end |
695.36534375 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
695.58471875 |
transcript.pyannote[241].end |
698.68971875 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
699.22971875 |
transcript.pyannote[242].end |
701.05221875 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
702.01409375 |
transcript.pyannote[243].end |
705.43971875 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
705.55784375 |
transcript.pyannote[244].end |
706.19909375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
706.84034375 |
transcript.pyannote[245].end |
708.34221875 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
709.33784375 |
transcript.pyannote[246].end |
710.21534375 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
710.67096875 |
transcript.pyannote[247].end |
712.74659375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
713.23596875 |
transcript.pyannote[248].end |
714.80534375 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
714.94034375 |
transcript.pyannote[249].end |
717.77534375 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
718.23096875 |
transcript.pyannote[250].end |
719.47971875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
721.04909375 |
transcript.pyannote[251].end |
721.84221875 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
724.18784375 |
transcript.pyannote[252].end |
725.03159375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
725.21721875 |
transcript.pyannote[253].end |
725.94284375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
726.24659375 |
transcript.pyannote[254].end |
728.37284375 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
729.03096875 |
transcript.pyannote[255].end |
730.49909375 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
730.66784375 |
transcript.pyannote[256].end |
732.92909375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
733.23284375 |
transcript.pyannote[257].end |
736.70909375 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
736.96221875 |
transcript.pyannote[258].end |
738.10971875 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
738.51471875 |
transcript.pyannote[259].end |
739.93221875 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
740.89409375 |
transcript.pyannote[260].end |
741.82221875 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
742.00784375 |
transcript.pyannote[261].end |
743.18909375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
743.37471875 |
transcript.pyannote[262].end |
745.66971875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
745.95659375 |
transcript.pyannote[263].end |
751.45784375 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
752.11596875 |
transcript.pyannote[264].end |
764.60346875 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
764.90721875 |
transcript.pyannote[265].end |
771.96096875 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
772.72034375 |
transcript.pyannote[266].end |
773.29409375 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
773.51346875 |
transcript.pyannote[267].end |
774.10409375 |
transcript.pyannote[268].speaker |
SPEAKER_02 |
transcript.pyannote[268].start |
776.70284375 |
transcript.pyannote[268].end |
777.34409375 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
777.14159375 |
transcript.pyannote[269].end |
780.02721875 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
780.28034375 |
transcript.pyannote[270].end |
781.17471875 |
transcript.pyannote[271].speaker |
SPEAKER_02 |
transcript.pyannote[271].start |
781.63034375 |
transcript.pyannote[271].end |
781.84971875 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
782.18721875 |
transcript.pyannote[272].end |
782.76096875 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
783.06471875 |
transcript.pyannote[273].end |
788.81909375 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
789.12284375 |
transcript.pyannote[274].end |
790.11846875 |
transcript.pyannote[275].speaker |
SPEAKER_03 |
transcript.pyannote[275].start |
791.72159375 |
transcript.pyannote[275].end |
792.21096875 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
792.56534375 |
transcript.pyannote[276].end |
792.59909375 |
transcript.pyannote[277].speaker |
SPEAKER_03 |
transcript.pyannote[277].start |
792.59909375 |
transcript.pyannote[277].end |
793.03784375 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
793.03784375 |
transcript.pyannote[278].end |
805.13721875 |
transcript.pyannote[279].speaker |
SPEAKER_04 |
transcript.pyannote[279].start |
805.13721875 |
transcript.pyannote[279].end |
806.20034375 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
806.20034375 |
transcript.pyannote[280].end |
808.32659375 |
transcript.pyannote[281].speaker |
SPEAKER_04 |
transcript.pyannote[281].start |
808.61346875 |
transcript.pyannote[281].end |
813.40596875 |
transcript.pyannote[282].speaker |
SPEAKER_01 |
transcript.pyannote[282].start |
813.40596875 |
transcript.pyannote[282].end |
815.16096875 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
815.34659375 |
transcript.pyannote[283].end |
826.58534375 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
826.73721875 |
transcript.pyannote[284].end |
833.60534375 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
834.22971875 |
transcript.pyannote[285].end |
836.33909375 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
836.74409375 |
transcript.pyannote[286].end |
840.05159375 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
840.13596875 |
transcript.pyannote[287].end |
843.73034375 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
843.94971875 |
transcript.pyannote[288].end |
845.01284375 |
transcript.pyannote[289].speaker |
SPEAKER_01 |
transcript.pyannote[289].start |
845.43471875 |
transcript.pyannote[289].end |
845.92409375 |
transcript.pyannote[290].speaker |
SPEAKER_03 |
transcript.pyannote[290].start |
846.24471875 |
transcript.pyannote[290].end |
846.63284375 |
transcript.pyannote[291].speaker |
SPEAKER_01 |
transcript.pyannote[291].start |
846.85221875 |
transcript.pyannote[291].end |
855.57659375 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
855.77909375 |
transcript.pyannote[292].end |
857.06159375 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
857.50034375 |
transcript.pyannote[293].end |
858.14159375 |
transcript.pyannote[294].speaker |
SPEAKER_01 |
transcript.pyannote[294].start |
858.86721875 |
transcript.pyannote[294].end |
859.69409375 |
transcript.pyannote[295].speaker |
SPEAKER_01 |
transcript.pyannote[295].start |
860.06534375 |
transcript.pyannote[295].end |
861.68534375 |
transcript.pyannote[296].speaker |
SPEAKER_03 |
transcript.pyannote[296].start |
864.92534375 |
transcript.pyannote[296].end |
870.03846875 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
870.03846875 |
transcript.pyannote[297].end |
871.48971875 |
transcript.pyannote[298].speaker |
SPEAKER_03 |
transcript.pyannote[298].start |
871.91159375 |
transcript.pyannote[298].end |
871.92846875 |
transcript.pyannote[299].speaker |
SPEAKER_01 |
transcript.pyannote[299].start |
871.92846875 |
transcript.pyannote[299].end |
873.41346875 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
873.51471875 |
transcript.pyannote[300].end |
874.99971875 |
transcript.pyannote[301].speaker |
SPEAKER_04 |
transcript.pyannote[301].start |
876.48471875 |
transcript.pyannote[301].end |
876.77159375 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
877.34534375 |
transcript.pyannote[302].end |
882.22221875 |
transcript.pyannote[303].speaker |
SPEAKER_01 |
transcript.pyannote[303].start |
882.82971875 |
transcript.pyannote[303].end |
883.62284375 |
transcript.pyannote[304].speaker |
SPEAKER_01 |
transcript.pyannote[304].start |
884.41596875 |
transcript.pyannote[304].end |
885.12471875 |
transcript.pyannote[305].speaker |
SPEAKER_01 |
transcript.pyannote[305].start |
885.54659375 |
transcript.pyannote[305].end |
888.43221875 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
888.63471875 |
transcript.pyannote[306].end |
889.57971875 |
transcript.pyannote[307].speaker |
SPEAKER_01 |
transcript.pyannote[307].start |
890.45721875 |
transcript.pyannote[307].end |
891.87471875 |
transcript.pyannote[308].speaker |
SPEAKER_04 |
transcript.pyannote[308].start |
894.47346875 |
transcript.pyannote[308].end |
895.03034375 |
transcript.pyannote[309].speaker |
SPEAKER_04 |
transcript.pyannote[309].start |
895.18221875 |
transcript.pyannote[309].end |
895.19909375 |
transcript.pyannote[310].speaker |
SPEAKER_01 |
transcript.pyannote[310].start |
895.19909375 |
transcript.pyannote[310].end |
896.24534375 |
transcript.pyannote[311].speaker |
SPEAKER_01 |
transcript.pyannote[311].start |
896.66721875 |
transcript.pyannote[311].end |
897.30846875 |
transcript.pyannote[312].speaker |
SPEAKER_01 |
transcript.pyannote[312].start |
897.69659375 |
transcript.pyannote[312].end |
901.54409375 |
transcript.pyannote[313].speaker |
SPEAKER_04 |
transcript.pyannote[313].start |
901.74659375 |
transcript.pyannote[313].end |
902.16846875 |
transcript.pyannote[314].speaker |
SPEAKER_01 |
transcript.pyannote[314].start |
902.40471875 |
transcript.pyannote[314].end |
902.92784375 |
transcript.pyannote[315].speaker |
SPEAKER_01 |
transcript.pyannote[315].start |
903.75471875 |
transcript.pyannote[315].end |
904.96971875 |
transcript.pyannote[316].speaker |
SPEAKER_03 |
transcript.pyannote[316].start |
904.96971875 |
transcript.pyannote[316].end |
905.96534375 |
transcript.whisperx[0].start |
5.988 |
transcript.whisperx[0].end |
18.634 |
transcript.whisperx[0].text |
主席、在場委員、先進、列席的政府機關組長、官員、會場工作夥伴、媒體記者女士先生先有請我們書人市長、缺次長跟陳副主任委員那另外待會會請內政部、農業部跟矯正署請準備 |
transcript.whisperx[1].start |
27.017 |
transcript.whisperx[1].end |
39.313 |
transcript.whisperx[1].text |
人事長好、次長好、副主委好我想今天我在談的就是政府導入AI效能跟資產要並重那機關應用就要全面啟動並且要列入管考來我先請教陳副主委這個我們 |
transcript.whisperx[2].start |
42.352 |
transcript.whisperx[2].end |
68.727 |
transcript.whisperx[2].text |
一般的流行用語啊在原子彈四爆爆炸啟用問世之後呢我們的1960年代就很多太空就是原子比啦原子燙對不對那人類登陸月球之後呢什麼都是什麼太空啊太空啊80年代呢電腦問世之後呢什麼都電腦化電腦化現在呢就是資訊數位那現在呢2020啊通通都是人工智慧能不能很簡短的給人工智慧做個定義它有什麼特徵 |
transcript.whisperx[3].start |
70.151 |
transcript.whisperx[3].end |
89.666 |
transcript.whisperx[3].text |
大量的數據自動生成自動學習有什麼特徵?報告委員我們在訂定這個人工智慧基本法的時候有在這個應該是第二條有對人工智慧人工智慧跟數位化什麼區塊鏈啊資訊化啊網路化有什麼差別? |
transcript.whisperx[4].start |
90.67 |
transcript.whisperx[4].end |
110.606 |
transcript.whisperx[4].text |
我們在人工智慧的定義上面是應該是說它是一個本身可以具備一個學習的自我學習運用大量資料庫能夠自動生成能夠回應使用者或環境的要求的一個應用的一個方式詳細的文字我可能要稍微看一下好謝謝請問兩位次長同意嗎人事長同意這樣的說明嗎 |
transcript.whisperx[5].start |
111.823 |
transcript.whisperx[5].end |
130.179 |
transcript.whisperx[5].text |
大概人工智慧他第一個要求可能要有很大量的一個資料 第二個是演算法 第三個就是算力那之前算力沒有那麼強 人工智慧他發展的速度就比較慢 最近這幾年算力提升了以後那次長你認為 人事長跟副主委講的你都同意嗎 |
transcript.whisperx[6].start |
131.619 |
transcript.whisperx[6].end |
132.459 |
transcript.whisperx[6].text |
誰是政府導入AI的主責機關 |
transcript.whisperx[7].start |
157.742 |
transcript.whisperx[7].end |
177.023 |
transcript.whisperx[7].text |
我這邊列啦我看一下你們人事處有提五次策略啊人事總處啊書發部也提個五也是一樣啊五個策略誰是主管機關誰是主責我跟那個召委報告大概有主要的三個stakeholder那人總是負責公務人員的人工智慧的那書發部呢 |
transcript.whisperx[8].start |
178.425 |
transcript.whisperx[8].end |
194.921 |
transcript.whisperx[8].text |
蘇發部是負責整個政府在應用人工智慧的政策的規劃跟推動那國科會的角色是在定義類似人工智慧基本法還有他會有很多的﹖謝謝時間的關係 邱社長你同意剛剛人事長講的嗎 |
transcript.whisperx[9].start |
197.799 |
transcript.whisperx[9].end |
220.599 |
transcript.whisperx[9].text |
跟委員報告好 這個是一個非常複雜的問題有沒有簡單的回答我們沒有很多時間簡單的回答就是說因為當初在訂立人工智慧的時候所以你同意人事長所講的這個分工基本上是正確的OK好謝謝來我們看一下那人總跟速發部辦理AI課程的對象有何不同我跟委員報告一下是不是你們人總做的是業務人員那我們速發部找的是資訊人員 |
transcript.whisperx[10].start |
221.701 |
transcript.whisperx[10].end |
245.566 |
transcript.whisperx[10].text |
大概是中階的是屬於這樣啦 中階我們是找業務直接業務來訓練你提供一些情境讓他去轉換成人工智慧的這一種模式那薛市長你同意嗎我們這邊包含三個部分第一個部分是總指人員總指人員當然是希望是科長以上推動AI的人員 |
transcript.whisperx[11].start |
246.286 |
transcript.whisperx[11].end |
267.982 |
transcript.whisperx[11].text |
那第二個是有AI的公務人員的AI通識課程這個是針對一般的公務人員好那現在我進入那目前你們AI課程辦理的進入如何簡單的講我們現在有已經完成看起來是有將近800人次800人次來那個人事長那你們呢你們辦了好像三個營隊了嘛 |
transcript.whisperx[12].start |
270.298 |
transcript.whisperx[12].end |
271.439 |
transcript.whisperx[12].text |
這個我們事先有溝通過 |
transcript.whisperx[13].start |
288.337 |
transcript.whisperx[13].end |
290.318 |
transcript.whisperx[13].text |
政府導入AI如何防止資料被害? |
transcript.whisperx[14].start |
315.57 |
transcript.whisperx[14].end |
327.267 |
transcript.whisperx[14].text |
這個應該是樹花部來回答以人種來講的話就上上禮拜提的是我們有雲端跟地端嗎我們是用地端因為我們的使用的時間關係來次長 |
transcript.whisperx[15].start |
329.19 |
transcript.whisperx[15].end |
345.769 |
transcript.whisperx[15].text |
那你認為人總這樣做那你們怎麼樣防止資料被害我們是在制度上就是規定你要進AI的東西資料要清過對就是這樣子不具機敏性的才可以上雲端因為他有時候會透過境外伺服器具機敏性的政府就要自建伺服器是不是這樣 |
transcript.whisperx[16].start |
347.401 |
transcript.whisperx[16].end |
370.733 |
transcript.whisperx[16].text |
這是一種方法政府的公文秘密目前有一個文書處理手冊請問人事長未來政府各機關以什麼機制標準作為機敏的資料分類有這樣一個標準出來了嗎人事長有沒有你們機敏資料分類不能上雲端的機敏資料怎麼分類有沒有分類辦法還是數位部 |
transcript.whisperx[17].start |
373.465 |
transcript.whisperx[17].end |
401.619 |
transcript.whisperx[17].text |
蘇衛部這邊是說就是說我要上雲端的資料要最小化是那要機敏分類嘛對不對機敏的不上嘛不只是機敏就是說就算是我了解但是機敏的不能讓他上去嘛好那你們怎麼確定他不是機敏來因為機敏的基本上不會電子化各機關各機關就判斷具不具有機敏性來那個人事長這樣子齁我現在就是說因為你們有你們的model有你們的方法但是方法之後呢要有手段 |
transcript.whisperx[18].start |
402.489 |
transcript.whisperx[18].end |
416.651 |
transcript.whisperx[18].text |
你們要先要求各機關在你們的學習課程當中各機關要能辨識區別哪些機敏資料不能上雲端除了最小化之外要減少伺服器的負擔那另外呢為了防止資料被害要不要自建AI伺服器 |
transcript.whisperx[19].start |
418.407 |
transcript.whisperx[19].end |
434.987 |
transcript.whisperx[19].text |
那你們是要用什麼預算去執行?用租的還是用買的?AI伺服器,因為AI本身算力很強來問一下次長,次長您覺得呢?基本上,包含電力的問題,支建伺服器可能不是一個最好的方法 |
transcript.whisperx[20].start |
435.968 |
transcript.whisperx[20].end |
460.349 |
transcript.whisperx[20].text |
那怎麼辦那所以基本上就算是上雲其實有一些軟體的手段可以完成這個治安的要求那這些報告你們打算怎麼做那我們會先做評測就是說你必須用評測的方法要不要預算執行這個當然需要預算執行所以你們要在預算上表達出來剛剛委員在關心預算你們都用優化啦擴充啦這些模糊的字眼我們希望未來兩個部會相關部會 |
transcript.whisperx[21].start |
462.851 |
transcript.whisperx[21].end |
484.802 |
transcript.whisperx[21].text |
政府導入AI防止被害.建立資料精敏分類.相關伺服器使用上.需要投入預算預防.要說明清楚,好不好?可以,往下所以你們承諾AI不會縮減緣額.人長是不是這樣子?那你們要怎麼做?你們要提供效能而不是縮減緣額那各機關用了AI之後.人不需減少.但是效能怎麼提升?你怎麼驗測?事實上導入AI.請內政部、農業部. |
transcript.whisperx[22].start |
491.513 |
transcript.whisperx[22].end |
492.113 |
transcript.whisperx[22].text |
保安委員我不想來我給你看一個齁 |
transcript.whisperx[23].start |
521.892 |
transcript.whisperx[23].end |
522.632 |
transcript.whisperx[23].text |
法務委員目前還沒有 人事長怎麼辦 |
transcript.whisperx[24].start |
552.298 |
transcript.whisperx[24].end |
552.759 |
transcript.whisperx[24].text |
內政部 移民署 你們管的嘛 |
transcript.whisperx[25].start |
564.653 |
transcript.whisperx[25].end |
583.47 |
transcript.whisperx[25].text |
好 我們現在呢 只要有出過國的人都知道 很多國家 最早用的我去接觸的是新加坡幾乎它的出入境啊 都用很多的一個ATM 類似ATM那樣的機器在幫你服務現在我們的出境大廳 大家也可以到 你在旅客 在桃園機場要出境 要去簽印錢 |
transcript.whisperx[26].start |
585.231 |
transcript.whisperx[26].end |
602.119 |
transcript.whisperx[26].text |
機場的航空公司也用大量的這個機器我到日本去入境的時候也是用機器取代好那目前你們的內政部的移民署的署長說我們移民署的第4代的E-GATE自動通關建置的成效未來能不能讓非本國籍的旅客出入使用自動通關現在進入怎麼樣?不知道對不對?人事長怎麼辦?你們高唱落雲但是各機關的配合速度跟不上怎麼辦?往下看 |
transcript.whisperx[27].start |
614.292 |
transcript.whisperx[27].end |
633.273 |
transcript.whisperx[27].text |
好 那個蕭政署過去我在2022年 2020年4年前我曾經問過受刑人在監獄遭管理員凌虐致死 我要求蕭政署要杜絕監視器的死角周組長知道這個事情嗎知道那目前有說要求你們做智慧監獄 你們今天怎麼樣 |
transcript.whisperx[28].start |
634.42 |
transcript.whisperx[28].end |
635.28 |
transcript.whisperx[28].text |
現在科技很進步 |
transcript.whisperx[29].start |
650.945 |
transcript.whisperx[29].end |
668.108 |
transcript.whisperx[29].text |
這是在2020年COVID-19前前我們發明那個叫電子圍籬另外我們發明到生理手環受刑人有的慢性病有的有性血管疾病他不見得都能夠及時的借護送醫如果這些高風險的受刑人有配上生理手環你們會及時監測到生理狀況不會延誤病情你同意嗎 |
transcript.whisperx[30].start |
668.869 |
transcript.whisperx[30].end |
683.71 |
transcript.whisperx[30].text |
我同意那如果說一些盲區除了用監視器事後來檢查之外如果有射電子圍籬只要一進入盲區就會出現警號避免受刑人被匣帶進去修理有沒有可以做這個方法可以好 人事長看到沒有人事長 |
transcript.whisperx[31].start |
685.373 |
transcript.whisperx[31].end |
685.453 |
transcript.whisperx[31].text |
登山 |
transcript.whisperx[32].start |
709.363 |
transcript.whisperx[32].end |
719.431 |
transcript.whisperx[32].text |
防止射屏:請問這也是內政部的還有林保署來農業部你們知不知道目前的科技我們會去統計陸山的山友的人數農業部知道嗎不知道對不對我都知道因為我們經常民意代表要負責去受理 |
transcript.whisperx[33].start |
729.062 |
transcript.whisperx[33].end |
739.334 |
transcript.whisperx[33].text |
目前我們的配置大概在登山的路徑上會受感測器不管是山羌通過還是黑熊通過還是人類通過他會有技術的但是山友通常繞過 |
transcript.whisperx[34].start |
740.936 |
transcript.whisperx[34].end |
766.957 |
transcript.whisperx[34].text |
所以我要問一下現在我們看到一個新聞向陽山發生一個失蹤16年的山友目前我們很常看到的路跑路跑 你要參加路跑花200塊押金把那個晶片在你腳上你就可以計時這是一個RFID的無線射頻被動元件那麼這個元件很適合我們在山區裡面佈建可以知道山友如果進入了他有這個晶片我們可以知道他在什麼時間什麼地點通過哪個檢測點 |
transcript.whisperx[35].start |
769.139 |
transcript.whisperx[35].end |
789.985 |
transcript.whisperx[35].text |
未來發生事故可以縮小我們的搜尋範圍 農業部 同意嗎知道 知道嗎 內政部 因為你們管警政署也管陸山登進 內政部同意嗎同意 同意 好 所以人事長 我也聽你提過用5G的無人機結合AI辨識來強化三岸的搜救 你認為有沒有在進行了 |
transcript.whisperx[36].start |
793.6 |
transcript.whisperx[36].end |
814.7 |
transcript.whisperx[36].text |
我感覺應該還沒有來 速發部不好意思要請你們上來你們的速產署說5G無人機結合AI辨識強化三端救援你們有沒有要推動這樣的一個應用項目有這個計畫有這個計畫 什麼時候要讓我們看到成果我記得這個計畫應該是現在開始進行那應該明年會有一些初步明年會有初步成果 好 |
transcript.whisperx[37].start |
815.501 |
transcript.whisperx[37].end |
816.922 |
transcript.whisperx[37].text |
人事總處跟樹花部要召開不同領域的AI課程 |
transcript.whisperx[38].start |
840.25 |
transcript.whisperx[38].end |
861.517 |
transcript.whisperx[38].text |
各單位應對應相關課程內容.派業務人員參與兩位是不是都同意 承諾好 那另外我請嚴毅將各項數據導入AI提升前項的四位應用內容的速度效益安全性可行報告一個月提出後面的農業部 內政部是不是都可以承諾人事長要不要列入管考 |
transcript.whisperx[39].start |
864.985 |
transcript.whisperx[39].end |
891.771 |
transcript.whisperx[39].text |
我比較不方便去管考這一個部分那你們不管考那誰來要求他們做應用端應用端大概蘇哈布蘇哈布有你們來管考嗎應該不是警政署也不是你管考移民署也不是你管考矯正署也不是你管考我們的那個那個林保署也不是你管考那請問我們講的這些應用有說要做那誰來知道他做了沒有 |
transcript.whisperx[40].start |
894.502 |
transcript.whisperx[40].end |
895.224 |
transcript.whisperx[40].text |
鍾佳濱、趙偉楷各大 |
會議時間 |
2024-10-14T09:00:00+08:00 |
委員發言時間 |
10:33:43 - 10:48:48 |
會議名稱 |
立法院第11屆第2會期司法及法制委員會第4次全體委員會議(事由:邀請行政院人事行政總處人事長暨相關部會列席就「政府機關導入AI提升效能」進行專題報告,並備質詢。) |
IVOD_ID |
155417 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/155417 |
日期 |
2024-10-14 |
會議資料.會議代碼 |
委員會-11-2-36-4 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
4 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
36 |
會議資料.標題 |
第11屆第2會期司法及法制委員會第4次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-10-14T10:33:43+08:00 |
結束時間 |
2024-10-14T10:48:48+08:00 |
支援功能[0] |
ai-transcript |